Fix gate logic docs: only scientific_paper passes, posters are blocked

README.md

@@ -24,7 +24,7 @@ thumbnail: PubGuard.png
 
 ## Model Description
 
-PubGuard is a lightweight, CPU-optimized document classifier that screens PDF text to determine whether it represents a genuine scientific publication. It runs as **Step 0** in the PubVerse + 42DeepThought pipeline, rejecting junk (flyers, invoices, non-scholarly PDFs) before expensive downstream processing (VLM feature extraction, graph construction, GNN scoring).
+PubGuard is a lightweight, CPU-optimized document classifier that screens PDF text to determine whether it represents a genuine scientific publication. It runs as **Step 0** in the PubVerse + 42DeepThought pipeline, rejecting non-publications (posters, abstracts, flyers, invoices) before expensive downstream processing (VLM feature extraction, graph construction, GNN scoring).
 
 Three classification heads provide a multi-dimensional screening verdict:
 
@@ -85,12 +85,13 @@ The `doc_type` head additionally receives 14 structural features (section headin
 
 ## Gate Logic
 
-Both `scientific_paper` and `poster` classifications **pass** the gate (both are valid scientific content). Only `abstract_only` and `junk` are blocked:
+Only `scientific_paper` passes the gate. Everything else — posters, standalone abstracts, junk — is blocked. The PubVerse pipeline processes **publications only**.
 
-```python
-verdict = guard.screen(text)
-# verdict['pass'] = True  if doc_type in ('scientific_paper', 'poster')
-# verdict['pass'] = False if doc_type in ('abstract_only', 'junk')
+```
+scientific_paper  →  ✅ PASS
+poster            →  ❌ BLOCKED  (classified, but not a publication)
+abstract_only     →  ❌ BLOCKED
+junk              →  ❌ BLOCKED
 ```
 
 AI detection and toxicity are **informational by default** — reported but not blocking.