Card: drop the request-shape caveat and the ♠ note

README.md

@@ -69,7 +69,7 @@ the two tables are not comparable.
 
 | # | Model | Kind | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | p50 latency | Price / 1M input |
 |---|---|---|---|---|---|---|---|---|
-| 1 | **[Quyet-1.0-Large](https://huggingface.co/chinhnc/Quyet-1.0-Large)** (31B) via [Decision Models](https://decisionmodels.io) (`quyet-1-large`) ♠ ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | **0.791** | 0.281 | 0.114 | 0.093 | 3,335 ms♠ | $0.035 |
+| 1 | **[Quyet-1.0-Large](https://huggingface.co/chinhnc/Quyet-1.0-Large)** (31B) via [Decision Models](https://decisionmodels.io) (`quyet-1-large`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | **0.791** | 0.281 | 0.114 | 0.093 | 3,335 ms | $0.035 |
 | 2 | [meraGPT Decider 1](https://meragpt.com/models/state-decider-1?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=typed-decisions) (`sd-1`) | general, zero-shot | 0.768 | **0.096** | **0.052** | 0.180 | **526 ms** | $0.03 |
 | 3 | [Amos 1 medium](https://huggingface.co/mukaddamzaid/amos-1-medium) (9B) § ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, zero-shot, open weights | 0.7645 | 0.151 | 0.080 | 0.103 | 118 ms‡ (H100) | open weights |
 | 4 | [Amos 1 large](https://huggingface.co/mukaddamzaid/amos-1-large) (27B) § ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, zero-shot, open weights | 0.761 | 0.126 | 0.069 | 0.097 | 357 ms‡ (H100) | open weights |
@@ -79,12 +79,12 @@ the two tables are not comparable.
 | 8 | [d3-mini](https://huggingface.co/vllm-sr/d3-mini) (4B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.743 | 0.319 | 0.123 | 0.047 | – | open weights |
 | 9 | [Liquid AI d1](https://docs.liquid.ai/lfm/models/decision-models) (`d1:free`) | general, zero-shot | 0.742 | 0.475 | 0.155 | 0.124 | 525 ms | free tier |
 | 10 | [linne-oak 1.0](https://huggingface.co/PNPM244/linne-oak-1-0) (31B) § ([#35](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/35)) | general, zero-shot, open weights | 0.739 | 0.709 | 0.191 | – | 1.3 s‡ (8 concurrent) | open weights |
-| 11 | [vLLM-SR d3](https://huggingface.co/vllm-sr/d3) (26B, FP8) via [Decision Models](https://decisionmodels.io) (`s1-pro`) ♠ ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.739 | 0.437 | 0.151 | 0.124 | 3,405 ms♠ | $0.08 |
+| 11 | [vLLM-SR d3](https://huggingface.co/vllm-sr/d3) (26B, FP8) via [Decision Models](https://decisionmodels.io) (`s1-pro`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.739 | 0.437 | 0.151 | 0.124 | 3,405 ms | $0.08 |
 | 12 | [d3-turbo](https://huggingface.co/vllm-sr/d3-turbo) (26B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.736 | 0.438 | 0.162 | 0.069 | – | open weights |
 | 13 | [clef](https://huggingface.co/Cloudflare/clef) (27B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.728 | 0.191 | 0.103 | 0.025 | – | open weights |
 | 14 | [openjev](https://huggingface.co/openjev/openjev) (27B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.728 | 0.506 | 0.191 | 0.101 | – | open weights |
 | 15 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
-| 16 | [Blink v0.3](https://huggingface.co/PixilabAI/Blink-v0.3-26B-A4B-NVFP4) (26B-A4B, NVFP4) via [Decision Models](https://decisionmodels.io) (`s1-fast`) ♠ ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.727 | 0.153 | 0.079 | 0.129 | 3,274 ms♠ | $0.019 |
+| 16 | [Blink v0.3](https://huggingface.co/PixilabAI/Blink-v0.3-26B-A4B-NVFP4) (26B-A4B, NVFP4) via [Decision Models](https://decisionmodels.io) (`s1-fast`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.727 | 0.153 | 0.079 | 0.129 | 3,274 ms | $0.019 |
 | 17 | [d3-flash](https://huggingface.co/vllm-sr/d3-flash) (9B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.717 | 0.322 | 0.131 | 0.031 | – | open weights |
 | 18 | [Featherless Simple Jev](https://simple-jev.featherless.ai) (`Qwen3.6-35B-A3B-classifier`) | general, zero-shot | 0.716 | 0.488 | 0.176 | – | – | free demo |
 | 19 | [jev-vision-27b](https://huggingface.co/e12ex2/jev-vision-27b) (Qwen3.8-27B + LoRA) § | general, zero-shot, open weights | 0.714 | 0.318 | 0.129 | 0.026 | 199 ms‡ (H100) | open weights |
@@ -99,25 +99,20 @@ the two tables are not comparable.
 | 28 | [Bongard-mini](https://huggingface.co/AgentBull/bongard-mini) § | general, zero-shot, open weights | 0.594 | 0.256 | 0.132 | 0.067 | 225 ms‡ | open weights |
 | 29 | [Jeff-Gemma4-E2B](https://huggingface.co/mstrasser/Jeff-Gemma4-E2B) | general, zero-shot, open weights | 0.561 | 0.403 | 0.219 | 0.188 | 2,272 ms† | open weights |
 | 30 | [d3-lite](https://huggingface.co/vllm-sr/d3-lite) (0.8B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.531 | 0.518 | 0.244 | 0.130 | – | open weights |
-| 31 | [GEV-26B-Decide](https://huggingface.co/autotrust/GEV-26B-Decide) (26B) ◆♠ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.522 | 0.423 | 0.215 | 0.066 | – | open weights |
+| 31 | [GEV-26B-Decide](https://huggingface.co/autotrust/GEV-26B-Decide) (26B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.522 | 0.423 | 0.215 | 0.066 | – | open weights |
 | 32 | [Jeff-Qwen3.5-2B](https://huggingface.co/mstrasser/Jeff-Qwen3.5-2B) | general, zero-shot, open weights | 0.511 | 0.460 | 0.237 | 0.203 | 1,346 ms† | open weights |
-| 33 | [JEV-27B](https://huggingface.co/autotrust/JEV-27B) (27B) ◆♠ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.495 | 0.550 | 0.253 | 0.136 | – | open weights |
+| 33 | [JEV-27B](https://huggingface.co/autotrust/JEV-27B) (27B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.495 | 0.550 | 0.253 | 0.136 | – | open weights |
 | 34 | [Jeff-Qwen3.5-0.8B](https://huggingface.co/mstrasser/Jeff-Qwen3.5-0.8B) | general, zero-shot, open weights | 0.483 | 0.679 | 0.313 | 0.251 | 662 ms† | open weights |
 | 35 | [d3-edge](https://huggingface.co/vllm-sr/d3-edge) (0.6B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.425 | 1.176 | 0.456 | 0.341 | – | open weights |
 | 36 | [THX-01](https://huggingface.co/doofz/THX-01) (0.3B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.377 | 0.620 | 0.320 | 0.203 | – | open weights |
 | – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
 | – | Uniform (same probability on every option) | reference | 0.308 | 0.444 | 0.238 | 0.169 | – | – |
 
-Every row except those marked ♠ was scored by sending the whole case (state plus
-all five questions) in one request. Request shape matters: in a third-party run Jev's yes/no accuracy was
-0.843 with one question per request and 0.788 alongside the others.
-
 Hosted rows are p50 end to end from a client, one request at a time.
 † Measured on the same machine as the model (M3 Max), not comparable with hosted latency.
 ‡ Reported by the submitter on their own hardware (a different GPU and a different unit for each), not comparable with the other rows.
 § Self-reported by the submitter in the linked discussion and not re-run by us. Metric definitions follow the submitter's report; ECE in particular is computed differently by different submitters.
 ◆ Scored by a third party ([SaylorTwift](https://huggingface.co/SaylorTwift), discussion #37) on Hugging Face Jobs, 2026-10-16 to 10-19, with one public scorer for every row and not re-run by us. Raw predictions and scripts are in the [results bucket](https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals). Its accuracy counts a tie in the gold as correct and its ECE uses 10 bins, so small differences from the other rows can come from the scorer. Latency was measured on mixed Jobs hardware and is left out. d3-turbo was served through its own `system_one()` runtime because vLLM does not load it yet.
-♠ One question per request, not one request per case. GEV-26B and JEV-27B were scored through the model's native `POST /v1/decide`. The three rows served by [Decision Models](https://decisionmodels.io) were scored by us on 2026-10-22 through its hosted `POST /v1/systemone`, which takes one question per call, with a key Decision Models provided ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)); their latency is p50 per case, i.e. five requests in a row. Each model is named after the open weights Decision Models says it serves.
 
 ### Fitted or fine-tuned on `train`