Leader table per board; drug-withdrawal board with year-matched controls

Front page now lists the current leader on every board, left blank where no entrant has submitted. Adds a post-marketing withdrawal board: withdrawal rate tracks approval decade, so controls are matched on approval year and a year-only predictor is required to score at chance before the board opens. Fixes two places that treated an unmeasured axis as zero.

app.py

@@ -95,14 +95,27 @@ def _load_boards():
             continue
         nf = d.get("noise_floor") or {}
         base = d.get("baselines") or {}
-        best = min(base, key=lambda k: base[k]["mae"]) if base else None
+        # 분류 전용 부문에는 MAE 기준선이 없다. 그럴 때는 AUROC 가 가장 높은 것을 최선으로 본다.
+        # 없는 값을 0 으로 치면 그 부문이 "가장 정확한 곳"으로 표에 오른다.
+        with_mae = {k: v for k, v in base.items() if v.get("mae") is not None}
+        if with_mae:
+            best = min(with_mae, key=lambda k: with_mae[k]["mae"])
+            d["metric"] = "mae"
+        elif base:
+            best = max(base, key=lambda k: base[k].get("auroc") or 0)
+            d["metric"] = "auroc"
+        else:
+            best = None
+            d["metric"] = None
         d["dataset_sha"] = _sha(p)
         d["spec"] = SPEC
         d["best_baseline"] = best
         # 모델 오차가 실험 오차의 몇 배인가. 1 에 붙을수록 측정 한계다.
-        if best and nf.get("sd_single"):
+        if best and nf.get("sd_single") and d["metric"] == "mae":
             d["error_over_noise"] = round(base[best]["mae"] / nf["sd_single"], 2)
-        if "상수 예측" in base and "Morgan+LightGBM" in base:
+        if ("상수 예측" in base and "Morgan+LightGBM" in base
+                and base["Morgan+LightGBM"].get("mae") is not None
+                and base["상수 예측"].get("mae") is not None):
             d["beats_constant"] = base["Morgan+LightGBM"]["mae"] < base["상수 예측"]["mae"]
         if d.get("n_test"):
             d["near_pct"] = round(100.0 * d.get("near_threshold", 0) / d["n_test"], 1)
@@ -199,6 +212,42 @@ def api_categories():
                        "open": len(bd), "ledger": bool(HF_TOKEN)}}
 
 
+@app.get("/api/leaders")
+def api_leaders():
+    """부문마다 현재 1위 한 줄. 첫 화면에서 전체를 한눈에 보기 위한 것이다.
+
+    부문별로 순위표를 따로 부르면 왕복이 부문 수만큼 늘어난다. 여기서 한 번에 모은다.
+    **참가 제출이 없으면 비워서 보낸다** - 기준선을 1위 자리에 앉히지 않는다.
+    기준선은 넘어야 할 선이지 우승자가 아니다.
+    """
+    def build():
+        out = []
+        for name, b in boards().items():
+            rolled = ledger_read("leaderboard/%s.json" % name.lower(), {}) or {}
+            ent = (rolled.get("entries") or [])
+            top = ent[0] if ent else None
+            nf = (b.get("noise_floor") or {}).get("sd_single")
+            base = b.get("baselines") or {}
+            row = {"board": name, "n_test": b.get("n_test"),
+                   "split_grade": b.get("split_grade"), "answer_grade": b.get("answer_grade"),
+                   "noise_floor": nf, "entries": len(ent),
+                   "baseline_best": (min((v["mae"] for v in base.values() if v.get("mae") is not None),
+                                         default=None)),
+                   "baseline_best_auroc": (max((v["auroc"] for v in base.values()
+                                                if v.get("auroc") is not None), default=None)),
+                   "leader": None}
+            if top:
+                row["leader"] = {"method": top.get("method"), "user": top.get("user"),
+                                 "mae": top.get("mae"), "auroc": top.get("auroc"),
+                                 "verified": bool(top.get("verified")), "leak": top.get("leak")}
+            out.append(row)
+        out.sort(key=lambda r: (r["leader"] is None, -(r["n_test"] or 0)))
+        return out
+    rows = cached("leaders", 60, build)
+    return {"spec": SPEC, "n": len(rows), "rows": rows,
+            "held": sum(1 for r in rows if r["leader"])}
+
+
 @app.get("/api/board/{name}")
 def api_board(name: str):
     b = boards().get(name)

categories.json

@@ -122,7 +122,9 @@
    "icon": "🏥",
    "desc": "사람 몸에서의 농도 · 약물 충돌 · 용량. 겨룰 표가 아직 없는 자리",
    "planned": 6,
-   "boards": [],
+   "boards": [
+    "Withdrawal"
+   ],
    "desc_en": "Human exposure, drug-drug interaction and dose — endpoints with no leaderboard yet"
   },
   {

data/withdrawal_card.json

@@ -0,0 +1,44 @@
+{
+ "board": "Withdrawal",
+ "target": "—",
+ "type": "시판 후 퇴출 여부",
+ "cut": null,
+ "threshold": 0.5,
+ "n_train": 408,
+ "n_test": 184,
+ "positive_rate": 0.27717391304347827,
+ "noise_floor": {
+  "sd_single": 0.044457723625306804,
+  "pairs": 400,
+  "compounds": 184,
+  "median": 0.044457723625306804,
+  "mean": 0.044457723625306804,
+  "p90": 0.07291066674550316,
+  "kind": "metric_bootstrap"
+ },
+ "control_year_auroc": 0.5038425249573899,
+ "baselines": {
+  "상수 예측": {
+   "auroc": 0.5,
+   "prauc": 0.27717391304347827,
+   "mae": null
+  },
+  "최근접 이웃": {
+   "auroc": 0.5530738611233966,
+   "prauc": 0.3059462915601023,
+   "mae": null
+  },
+  "Morgan+LightGBM": {
+   "auroc": 0.5928055432699395,
+   "prauc": 0.36923077992989084,
+   "mae": null
+  }
+ },
+ "near_threshold": 0,
+ "split_grade": "S",
+ "split_grade_note": "골격 분할 · 승인 연도 짝짓기",
+ "answer_grade": "P1",
+ "answer_grade_note": "퇴출 기록은 공개 자료다. 조회 방어는 8조가 담당한다",
+ "source": "ChEMBL_37 승인·퇴출 기록",
+ "built": "2026-08-22"
+}

data/withdrawal_test.json

@@ -0,0 +1 @@
+{"board": "Withdrawal", "n": 184, "source": "ChEMBL_37 (EMBL-EBI)", "source_url": "https://www.ebi.ac.uk/chembl/", "license": "CC BY-SA 3.0 Unported", "license_url": "https://creativecommons.org/licenses/by-sa/3.0/", "attribution": "Derived from ChEMBL (EMBL-EBI), licensed CC BY-SA 3.0.", "note": "구조와 승인 연도만 포함한다. 퇴출 여부는 배포하지 않는다.", "compounds": [{"compound_id": "LB-2D0DB1BD3BB2", "smiles": "CC(C)(C)c1nc(-c2cccc(NS(=O)(=O)c3c(F)cccc3F)c2F)c(-c2ccnc(N)n2)s1", "approval_year": 2013}, {"compound_id": "LB-D55611596516", "smiles": "CC(C)[C@H](N)C(=O)OCCOCn1cnc2c(=O)nc(N)[nH]c21.Cl", "approval_year": 1995}, {"compound_id": "LB-4D5B0A121C97", "smiles": "NC1=NC(=O)C(c2ccccc2)O1", "approval_year": 1975}, {"compound_id": "LB-B7773C13AC21", "smiles": "CN1CCN(CCCN2c3ccccc3Sc3ccc(C(F)(F)F)cc32)CC1.Cl.Cl", "approval_year": 1959}, {"compound_id": "LB-75B87500DB03", "smiles": "CC(=O)c1ccc2c(c1)N(CCCN1CCN(CCO)CC1)c1ccccc1S2.O=C(O)/C=C\\C(=O)O.O=C(O)/C=C\\C(=O)O", "approval_year": 1961}, {"compound_id": "LB-C1B1F3F49953", "smiles": "CCCCCCC(=O)OCCN1CCN(CCCN2c3ccccc3Sc3ccc(C(F)(F)F)cc32)CC1", "approval_year": 1967}, {"compound_id": "LB-6C203EC954E3", "smiles": "O=C(O)COc1ccc(C(=O)c2cccs2)c(Cl)c1Cl", "approval_year": 1979}, {"compound_id": "LB-29C4F7252DBC", "smiles": "CC(C(=O)O)c1ccc(C(=O)c2cccs2)cc1", "approval_year": 1985}, {"compound_id": "LB-B8CDC264D9A8", "smiles": "Nc1ccc(/N=N/c2ccccc2)c(N)n1", "approval_year": 1987}, {"compound_id": "LB-9B483E11B27D", "smiles": "CC(C)(O/N=C(\\C(=O)N[C@@H]1C(=O)N2C(C(=O)[O-])=C(C[n+]3ccccc3)CS[C@H]12)c1csc(N)n1)C(=O)[O-].[Na+]", "approval_year": 1989}, {"compound_id": "LB-32993042D2E8", "smiles": "N#Cc1cccc([C@@H](NCC2CC2)c2ccc(F)c(NC(=O)c3cc(C(F)(F)F)nn3-c3cccc(CN)c3)c2)c1", "approval_year": 2020}, {"compound_id": "LB-A727206109F5", "smiles": "O=C1NCCN1CCN1CCC(c2cn(-c3ccc(F)cc3)c3ccc(Cl)cc23)CC1", "approval_year": 1996}, {"compound_id": "LB-EBFFF30B78DC", "smiles": "Cl.O=C1CC[C@@]2(O)[C@H]3Cc4ccc(O)c5c4[C@@]2(CCN3CC2CC2)[C@H]1O5", "approval_year": 1984}, {"compound_id": "LB-57F338637FEA", "smiles": "COc1ccc(CCN2CCC(Nc3nc4ccccc4n3Cc3ccc(F)cc3)CC2)cc1", "approval_year": 1988}, {"compound_id": "LB-FB0A96B47472", "smiles": "O=C1O[C@H]([C@@H](O)CO)C(O)=C1O", "approval_year": 1985}, {"compound_id": "LB-5DA2740C7C19", "smiles": "CCN[C@@H]1C[C@H](N)[C@@H](O[C@H]2OC(CN)=CC[C@H]2N)[C@H](O)[C@H]1O[C@H]1OC[C@](C)(O)[C@H](NC)[C@H]1O", "approval_year": 1983}, {"compound_id": "LB-C52555B25E23", "smiles": "O=c1[nH]c(=O)n([C@H]2C[C@H](O)[C@@H](CO)O2)cc1F", "approval_year": 1970}, {"compound_id": "LB-75BBADA0C099", "smiles": "CO/N=C(\\C(=O)N[C@@H]1C(=O)N2C(C(=O)OC(C)OC(C)=O)=C(COC(N)=O)CS[C@H]12)c1ccco1", "approval_year": 1987}, {"compound_id": "LB-09548458B21C", "smiles": "C=CC(=O)N1CCC([C@@H]2CCNc3c(C(N)=O)c(-c4ccc(Oc5ccccc5)cc4)nn32)CC1", "approval_year": 2019}, {"compound_id": "LB-A041C8F7DA86", "smiles": "CNC(=O)c1c(I)c(C(=O)NCC(=O)Nc2c(I)c(C(=O)[O-])c(I)c(C(=O)NCCO)c2I)c(I)c(N(C)C(C)=O)c1I.[Na+]", "approval_year": 1985}, {"compound_id": "LB-F4EBF5EB4DBB", "smiles": "CN(C)CCC=C1c2ccccc2CCc2ccccc21", "approval_year": 1961}, {"compound_id": "LB-DFAE1B675DC7", "smiles": "CNCCC=C1c2ccccc2CCc2ccccc21", "approval_year": 1964}, {"compound_id": "LB-BBCAA75E1A5C", "smiles": "O=C(NCC1CCCCN1)c1cc(OCC(F)(F)F)ccc1OCC(F)(F)F", "approval_year": 1985}, {"compound_id": "LB-3367D3EF3B0F", "smiles": "Cc1cccc(C)c1NC(=O)C1CCCCN1C", "approval_year": 1960}, {"compound_id": "LB-35BD9836E948", "smiles": "COc1ccc2c(c1)c(CC(=O)O)c(C)n2C(=O)c1ccc(Cl)cc1", "approval_year": 1965}, {"compound_id": "LB-B13BF1A2674A", "smiles": "CC(C)n1nccc1-c1ncccc1COc1cccc(O)c1C=O", "approval_year": 2019}, {"compound_id": "LB-FB8CCF9EDFE8", "smiles": "CNCCCN1c2ccccc2CCc2ccccc21.Cl", "approval_year": 1964}, {"compound_id": "LB-D06B630E822A", "smiles": "COc1cc(C(=O)NS(=O)(=O)c2ccccc2C)ccc1Cc1cn(C)c2ccc(NC(=O)OC3CCCC3)cc12", "approval_year": 1996}, {"compound_id": "LB-8B19F412232A", "smiles": "CCCS(=O)(=O)N[C@H]1C[C@@H](N(C)c2ncnc3[nH]ccc23)C1", "approval_year": 2021}, {"compound_id": "LB-A840DD1B169A", "smiles": "CC[N+](C)(CC)CCOC(=O)C1c2ccccc2Oc2ccccc21", "approval_year": 1951}, {"compound_id": "LB-74C66313102D", "smiles": "COc1cc(N)c(Cl)cc1C(=O)NC1CCN(CCCOc2ccc(F)cc2)CC1OC", "approval_year": 1993}, {"compound_id": "LB-F5705D78392C", "smiles": "COc1cc(N)c(Cl)cc1C(=O)NC1CCN(CCCOc2ccc(F)cc2)CC1OC.O", "approval_year": 1993}, {"compound_id": "LB-94E066FF6439", "smiles": "OCCOCCN1CCN(C(c2ccccc2)c2ccc(Cl)cc2)CC1", "approval_year": 1956}, {"compound_id": "LB-BB8564F0F37D", "smiles": "Cl.Cl.O=C(O)COCCN1CCN(C(c2ccccc2)c2ccc(Cl)cc2)CC1", "approval_year": 1995}, {"compound_id": "LB-3E77D0C64408", "smiles": "Cl.OC(CCN1CCCCC1)(c1ccccc1)C1CC2C=CC1C2", "approval_year": 1959}, {"compound_id": "LB-A03FBC571415", "smiles": "CC(O)C(=O)O.OC(CCN1CCCCC1)(c1ccccc1)C1CC2C=CC1C2", "approval_year": 1961}, {"compound_id": "LB-C49109F11770", "smiles": "CCOC(=O)c1ccc(C#Cc2ccc3c(c2)C(C)(C)CCS3)nc1", "approval_year": 1997}, {"compound_id": "LB-FFBC0D98BCF7", "smiles": "Cc1cnc(C(=O)NCCc2ccc(S(=O)(=O)NC(=O)NC3CCCCC3)cc2)cn1", "approval_year": 1984}, {"compound_id": "LB-07B624AF8A5A", "smiles": "CC[C@@H](CO)NC(=O)[C@@H]1C=C2c3cccc4c3c(cn4C)C[C@H]2N(C)C1", "approval_year": 1962}, {"compound_id": "LB-81267B14DD17", "smiles": "C[C@H]1O[C@@H](O[C@H]2CC[C@@]3(C)[C@H](CC[C@@H]4[C@@H]3C[C@@H](O)[C@]3(C)[C@@H](C5=CC(=O)OC5)CC[C@]43O)C2)C[C@H](O)[C@@H]1O[C@H]1C[C@H](O)[C@H](O[C@H]2C[C@H](O)[C@H](O[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@H]3O)[C@@H](C)O2)[C@@H](C)O1", "approval_year": 1982}, {"compound_id": "LB-7D3CCBA9DA94", "smiles": "CCCc1cc(=O)[nH]c(=S)[nH]1", "approval_year": 1947}, {"compound_id": "LB-D71259C5BD67", "smiles": "CC(Cc1cccc(C(F)(F)F)c1)NCCOC(=O)c1ccccc1", "approval_year": 1974}, {"compound_id": "LB-582B0B9A109C", "smiles": "COC(=O)C1=C(C)NC(C)=C(C(=O)OCCN(C)Cc2ccccc2)C1c1cccc([N+](=O)[O-])c1", "approval_year": 1988}, {"compound_id": "LB-4B61F62E685B", "smiles": "c1ccc(CC2=NCCN2)cc1", "approval_year": 1985}, {"compound_id": "LB-17F76D36DF64", "smiles": "Cc1cc(C(C)(C)C)c(O)c(C)c1CC1=NCCN1.Cl", "approval_year": 1986}, {"compound_id": "LB-8C3A4C712E71", "smiles": "CCN[C@H]1C[C@H](C)S(=O)(=O)c2sc(S(N)(=O)=O)cc21", "approval_year": 1994}, {"compound_id": "LB-F94346F87A5E", "smiles": "CC1(C)S[C@@H]2[C@H](NC(=O)C(C(=O)Oc3ccc4c(c3)CCC4)c3ccccc3)C(=O)N2[C@H]1C(=O)[O-].[Na+]", "approval_year": 1972}, {"compound_id": "LB-04E7B04E595C", "smiles": "C#C[C@]1(O)CC[C@H]2[C@@H]3CCC4=C(CCC(=O)C4)[C@H]3CC[C@@]21C", "approval_year": 1961}, {"compound_id": "LB-1D9407CA58B6", "smiles": "CN(C)[C@@H]1C([O-])=C(C(N)=O)C(=O)[C@@]2(O)C(O)=C3C(=O)c4c(O)cccc4[C@@](C)(O)[C@H]3[C@H](O)[C@@H]12.CN(C)[C@@H]1C([O-])=C(C(N)=O)C(=O)[C@@]2(O)C(O)=C3C(=O)c4c(O)cccc4[C@@](C)(O)[C@H]3[C@H](O)[C@@H]12.[Ca+2]", "approval_year": 1982}, {"compound_id": "LB-A7FBA97A04EC", "smiles": "CC(CN1c2ccccc2Sc2ccccc21)N(C)C", "approval_year": 1951}, {"compound_id": "LB-1BFCE96D6283", "smiles": "CN(C)CCCN1c2ccccc2Sc2ccc(Cl)cc21.Cl", "approval_year": 1957}, {"compound_id": "LB-EBE581D86602", "smiles": "CN(C)CCCN1c2ccccc2Sc2ccccc21.Cl", "approval_year": 1956}, {"compound_id": "LB-AAB0653AB330", "smiles": "CN(C)CCCN1c2ccccc2Sc2ccc(C(F)(F)F)cc21.Cl", "approval_year": 1957}, {"compound_id": "LB-FE0915B15B45", "smiles": "CCC(=O)c1ccc2c(c1)N(CC(C)N(C)C)c1ccccc1S2", "approval_year": 1960}, {"compound_id": "LB-C5E7336A86C0", "smiles": "N[C@@H]1C[C@H]1c1ccccc1.N[C@H]1C[C@@H]1c1ccccc1.O=S(=O)(O)O", "approval_year": 1961}, {"compound_id": "LB-BDA884938E52", "smiles": "COc1ccnc(C[S+]([O-])c2nc3cc(OC(F)F)ccc3[nH]2)c1OC", "approval_year": 2000}, {"compound_id": "LB-5C9856DB867A", "smiles": "CC(=O)OCC(CCn1cnc2cnc(N)nc21)COC(C)=O", "approval_year": 1994}, {"compound_id": "LB-A7E924303334", "smiles": "Nc1nc([O-])c2ncn(CCC(CO)CO)c2n1.[Na+]", "approval_year": 1996}, {"compound_id": "LB-8F3EC627D603", "smiles": 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"CN1C[C@H](C(=O)N[C@]2(C)O[C@@]3(O)[C@@H]4CCCN4C(=O)[C@H](Cc4ccccc4)N3C2=O)C=C2c3cccc4[nH]cc(c34)C[C@H]21.CN1C[C@H](C(=O)N[C@]2(C)O[C@@]3(O)[C@@H]4CCCN4C(=O)[C@H](Cc4ccccc4)N3C2=O)C=C2c3cccc4[nH]cc(c34)C[C@H]21.O=C(O)C(O)C(O)C(=O)O", "approval_year": 1948}, {"compound_id": "LB-E5D058B05B95", "smiles": "CC(C)c1nc(CN(C)C(=O)N[C@H](C(=O)N[C@@H](Cc2ccccc2)C[C@H](O)[C@H](Cc2ccccc2)NC(=O)OCc2cncs2)C(C)C)cs1", "approval_year": 1996}, {"compound_id": "LB-03C776830277", "smiles": "O=C1CCC(N2C(=O)c3ccccc3C2=O)C(=O)N1", "approval_year": 1956}, {"compound_id": "LB-B716789F071F", "smiles": "Oc1c(Cl)cc(Cl)c(Cl)c1Cc1c(O)c(Cl)cc(Cl)c1Cl", "approval_year": 1949}, {"compound_id": "LB-3F7E1F936B98", "smiles": "CCC(=O)C(CC(C)N(C)C)(c1ccccc1)c1ccccc1", "approval_year": 1947}, {"compound_id": "LB-94A025AAE26E", "smiles": "CC(C)[N+](C)(CCC(C(N)=O)(c1ccccc1)c1ccccc1)C(C)C", "approval_year": 1957}, {"compound_id": "LB-FFA70C8AE80E", "smiles": "Cc1ccccc1C(OCCN(C)C)c1ccccc1.O=C(O)CC(O)(CC(=O)O)C(=O)O", "approval_year": 1959}, {"compound_id": "LB-60EE6A30B006", "smiles": "Cc1ccccc1C(OCCN(C)C)c1ccccc1", "approval_year": 1957}, {"compound_id": "LB-E15EC412CE1C", "smiles": "CN(C)CCC(O)(c1ccccc1)c1ccccc1Cl.Cl", "approval_year": 1982}, {"compound_id": "LB-8C75E317499E", "smiles": "CC(CC(c1ccccc1)c1ccccc1)NC(C)(C)C", "approval_year": 1986}, {"compound_id": "LB-C7C7E017EA20", "smiles": "CC(CC(c1ccccc1)c1ccccc1)NC(C)(C)C.Cl", "approval_year": 1986}, {"compound_id": "LB-A3A078FA2BBA", "smiles": "CC[C@H](OC(C)=O)C(C[C@H](C)N(C)C)(c1ccccc1)c1ccccc1", "approval_year": 1993}, {"compound_id": "LB-3692EA0B272F", "smiles": "CC(C)C(=O)Oc1ccc(CO)cc1[C@H](CCN(C(C)C)C(C)C)c1ccccc1.O=C(O)/C=C/C(=O)O", "approval_year": 2007}]}

i18n.js

@@ -21,6 +21,12 @@ ko: {
   statBoards: "개설 부문", statCompounds: "테스트 화합물", statFields: "분야",
   statClauses: "규격 조항", statPlanned: "계획 부문",
 
+  secLeaders: "부문별 1위",
+  secLeadersLead: "각 부문의 현재 선두입니다. 참가 제출이 없는 부문은 비워 둡니다 — 기준선은 넘어야 할 선이지 우승자가 아닙니다.",
+  thBoard: "부문", thBest: "1위", thScore: "점수", thVs: "기준선 대비", thN: "테스트",
+  noLeader: "아직 없음",
+  leadersEmpty: n => `${n}개 부문 모두 참가 제출을 기다리고 있습니다.`,
+  leadersSome: (a, b) => `${b}개 부문 중 ${a}개에 선두가 있습니다.`,
   secBrowse: "분야", secBrowseLead: "분야를 선택하면 소속 부문의 순위표와 제출 창구로 이동합니다.",
   secEvidence: "측정 한계 지형",
   secEvidenceLead: "가로축은 <b>기준선 오차 ÷ 실험 재현 오차</b>입니다. 1.0 에 근접할수록 " +
@@ -185,6 +191,12 @@ en: {
   statBoards: "open boards", statCompounds: "test compounds", statFields: "disciplines",
   statClauses: "spec clauses", statPlanned: "planned boards",
 
+  secLeaders: "Current leaders",
+  secLeadersLead: "The leading entry on each board. Boards without an entrant are left blank — a baseline is a line to cross, not a winner.",
+  thBoard: "Board", thBest: "Leader", thScore: "Score", thVs: "vs baseline", thN: "Test",
+  noLeader: "none yet",
+  leadersEmpty: n => `All ${n} boards are awaiting their first entry.`,
+  leadersSome: (a, b) => `${a} of ${b} boards have a leader.`,
   secBrowse: "Disciplines",
   secBrowseLead: "Select a discipline to reach its boards, leaderboards and submission desk.",
   secEvidence: "Measurement-limit landscape",

index.html

@@ -171,6 +171,8 @@
       border-radius:8px;background:var(--bg2);font-size:12px;font-weight:750}
   .rk.g1{background:#f0c44a26;color:#9c7710}.rk.g2{background:#aab4c426;color:#77828f}
   .rk.g3{background:#c9885526;color:#95612f}
+  .gain{color:var(--good);font-weight:700}
+  .loss{color:var(--bad);font-weight:700}
   .mini{display:inline-block;height:6px;border-radius:3px;background:var(--acc);opacity:.5;
         vertical-align:middle;margin-right:7px}
 
@@ -286,7 +288,14 @@ function terrain(items,link){
       <i>0</i><i>← ${t.terrLeft} · 1.0 · ${t.terrRight} →</i><i>${MAX.toFixed(1)}</i>
     </span><span></span></div></div>`;
 }
-const ratioOf=b=>Math.min(...Object.values(b.baselines).map(v=>v.mae))/b.noise_floor.sd_single;
+/* 분류 전용 부문은 MAE 기준선이 없다. 그런 부문을 0 으로 처리하면 지형도 맨 왼쪽에
+   붙어 "측정 한계에 도달했다"로 보인다. 재지 못한 것과 재서 작은 것은 다르므로 비운다. */
+const ratioOf=b=>{
+  const nf=(b.noise_floor||{}).sd_single;
+  const maes=Object.values(b.baselines||{}).map(v=>v.mae).filter(v=>v!=null);
+  if(!nf||!maes.length) return null;
+  return Math.min(...maes)/nf;
+};
 
 async function boot(){
   try{ME=await j("/api/me");}catch(e){}
@@ -309,7 +318,8 @@ function route(){
 /* ═══ 허브 ═══ */
 function hub(){
   const T0=CATS.totals, bs=Object.values(BOARDS);
-  const items=bs.map(b=>({board:b.board,ratio:ratioOf(b)})).sort((a,b)=>a.ratio-b.ratio);
+  const items=bs.map(b=>({board:b.board,ratio:ratioOf(b)}))
+    .filter(x=>x.ratio!=null).sort((a,b)=>a.ratio-b.ratio);
   const inside=items.filter(x=>x.ratio<1.3).length;
   const lost=bs.filter(b=>b.beats_constant===false).length;
   app.innerHTML=W(`
@@ -339,6 +349,9 @@ function hub(){
       <div class="find"><b>${t.found3t}</b><p>${t.found3d}</p></div>
     </div></div>
 
+  <div class="sec"><h2>${t.secLeaders}</h2><p class="lead2">${t.secLeadersLead}</p>
+    <div id="leaders"><div class="skel" style="height:200px"></div></div></div>
+
   <div class="sec"><h2>${t.secBrowse}</h2><p class="lead2">${t.secBrowseLead}</p>
     <div class="grid">${CATS.categories.map(cardHTML).join("")}</div></div>
 
@@ -374,6 +387,39 @@ function hub(){
     <div class="note n">${t.dataNote}<br><br>
       ${t.srcLabel} · <a href="https://www.ebi.ac.uk/chembl/">ChEMBL_37 (EMBL-EBI)</a> ·
       <a href="https://creativecommons.org/licenses/by-sa/3.0/">CC BY-SA 3.0 Unported</a></div></div>`);
+  paintLeaders();
+}
+
+/* 부문별 1위 표. 비동기로 채운다 - 원장을 부문 수만큼 읽어야 해서 첫 그림을 막으면 안 된다. */
+async function paintLeaders(){
+  const el=$("#leaders"); if(!el)return;
+  let d; try{ d=await j("/api/leaders"); }catch(e){ el.innerHTML=""; return; }
+  const rows=d.rows.map(r=>{
+    const L=r.leader;
+    // 점수는 부문마다 주지표가 다르다. 회귀 부문은 MAE, 분류 전용 부문은 AUROC.
+    const reg=r.baseline_best!=null;
+    const score=L?(reg?L.mae:L.auroc):null;
+    const bas=reg?r.baseline_best:r.baseline_best_auroc;
+    let vs="—";
+    if(L&&score!=null&&bas!=null){
+      const better=reg?score<bas:score>bas;
+      const gap=reg?(bas-score):(score-bas);
+      vs=`<span class="${better?"gain":"loss"}">${better?"▲":"▼"} ${Math.abs(gap).toFixed(3)}</span>`;
+    }
+    return `<tr>
+      <td style="text-align:left"><a href="#/b/${encodeURIComponent(r.board)}">${esc(r.board)}</a>
+        <span class="chip g" style="margin-left:6px">${r.split_grade}/${r.answer_grade}</span></td>
+      <td style="text-align:left">${L?esc(L.method):`<span class="dim">${t.noLeader}</span>`}</td>
+      <td style="text-align:left">${L?esc(L.user):"—"}</td>
+      <td>${score!=null?f(score):"—"}</td>
+      <td>${vs}</td>
+      <td>${(r.n_test||0).toLocaleString()}</td></tr>`;}).join("");
+  el.innerHTML=`<div class="tw"><table><thead><tr>
+      <th style="text-align:left;width:auto">${t.thBoard}</th>
+      <th style="text-align:left">${t.thBest}</th><th style="text-align:left">${t.thUser}</th>
+      <th>${t.thScore}</th><th>${t.thVs}</th><th>${t.thN}</th></tr></thead>
+    <tbody>${rows}</tbody></table></div>
+    <p class="dim" style="font-size:13px">${d.held?t.leadersSome(d.held,d.n):t.leadersEmpty(d.n)}</p>`;
 }
 
 function cardHTML(c){
@@ -392,7 +438,8 @@ function cardHTML(c){
 function category(id){
   const c=CATS.categories.find(x=>x.id===id); if(!c)return hub();
   const bs=(c.board_cards||[]).slice().sort((a,b)=>b.n_test-a.n_test);
-  const items=bs.map(b=>({board:b.board,ratio:ratioOf(b)})).sort((a,b)=>a.ratio-b.ratio);
+  const items=bs.map(b=>({board:b.board,ratio:ratioOf(b)}))
+    .filter(x=>x.ratio!=null).sort((a,b)=>a.ratio-b.ratio);
   const nm=L==="ko"?c.name:c.en;
   app.innerHTML=W(`
     <div class="crumb"><a href="#/">${t.all}</a> › ${esc(nm)}</div>
@@ -412,9 +459,9 @@ function boardMini(b){
   const bl=b.baselines[b.best_baseline]||{};
   return `<a class="cc" href="#/b/${encodeURIComponent(b.board)}">
     <div class="nm">${esc(b.board)}<span class="chip">${b.split_grade}/${b.answer_grade}</span></div>
-    <div class="ds">${t.cardCompounds(b.n_test.toLocaleString())} · ${t.noiseH} ${f(b.noise_floor.sd_single)}<br>
-      ${esc(b.best_baseline)} ${f(bl.mae)}</div>
-    <div class="mt"><span>${esc(b.source)}</span><span>${f(ratioOf(b),2)}×</span></div></a>`;
+    <div class="ds">${t.cardCompounds(b.n_test.toLocaleString())} · ${t.noiseH} ${f((b.noise_floor||{}).sd_single)}<br>
+      ${esc(b.best_baseline)} ${bl.mae!=null?f(bl.mae):f(bl.auroc)}</div>
+    <div class="mt"><span>${esc(b.source)}</span><span>${ratioOf(b)==null?"—":f(ratioOf(b),2)+"×"}</span></div></a>`;
 }
 
 /* ═══ 부문 ═══ */