| # Scoring |
|
|
| The current scoring protocol is finding-quality-discovery. Commit-pinned current |
| scores must not be compared directly with historical narrow-task scores. |
|
|
| ## Local gates |
|
|
| Each finding needs a permitted population, valid agent-selected comparison, |
| minimum population/arm sizes, complete condition partitions, exact text offsets, |
| and all recomputed statistics. Invalid submissions do not receive invented |
| quality scores. See [submission contract](SUBMISSIONS.md). |
|
|
| ## Evidence-based quality |
|
|
| A semantic assessment supplies support, task_fulfilled, duplicate_of, rationale, |
| and four dimensions from 0 to 1: S statistical validity, E evidence entailment, |
| D analytical depth and C calibration. Dimension anchors are 1 fully justified, |
| 0.75 minor gaps, 0.5 material limitations, 0.25 weak and 0 absent/wrong. |
|
|
| ```text |
| finding quality = support × (15 + 25S + 20E + 30D + 10C) |
| ``` |
|
|
| Support factors: supported=1, partial=0.5, unsupported=0. Uncertain stays null. |
| An unfulfilled task or duplicate gets 0 regardless of dimensions. Generic |
| sentiment, metadata frequencies or an unexamined aggregate contrast do not |
| fulfill the task. Depth requires a substantive discovery, a defensible choice |
| of scope/comparison, competing explanations, and correct interpretation of |
| robustness checks. Material audit omissions cap D at 0.5; merely restating |
| numbers caps it at 0.25. These semantic caps are judge instructions, not |
| deterministically proven properties. |
|
|
| Example: a supported, nonduplicate finding with S=.8, E=.9, D=.75, C=.8 earns |
| 15+20+18+22.5+8 = 83.5. Partial support halves it to 41.75. This is an illustrative |
| calculation, not an observed agent result. |
|
|
| ## Semantic audit |
|
|
| All selected-population arithmetic and partitions are checked. The model then |
| sees at most 160 documents by default: submitted quotations, samples from each |
| nonempty positive/negative/unknown assignment cell and a corpus-wide remainder. |
| The seed is created after submission and saved with judge configuration for |
| reproducibility; sampled IDs are retained in each review. This is a bounded |
| audit of submitted labels, not a new independently labeled or held-out dataset. |
|
|
| Sampled label mistakes undermine semantic support even if the counts add up. |
| Absence of sampled errors does not prove all labels correct. The judge must use |
| uncertain when the packet cannot resolve a claim. No full-corpus semantic |
| guarantee or unbiased estimator of label accuracy is claimed. Report judge |
| model, input budget and audit size; model-based scores have evaluator error. |
|
|
| ## Aggregation and reference availability |
|
|
| Task quality averages all submitted finding scores; any unresolved finding makes |
| task quality unavailable. An abstention is valid but unscored, not a verified |
| absence of useful findings. A full quality_mean is available only when every |
| task has a score. conditional_quality_mean covers only scored tasks and must be |
| reported alongside scored_tasks, abstention_rate, valid_submission_rate, missing, |
| invalid and pending counts. Source and family breakdowns are included. |
| |
| Current redesigned tasks have no fixed reference conclusions. reference_coverage |
| is null. Earlier 50 conclusions are retained only in history, not reused against |
| new questions. Novel supported findings are not penalized for lacking a fixed |
| match. Reviews bind task, corpus, submission, reference configuration and scoring |
| hashes; stale reviews must not be reused. |
|
|
