{"id":"W6992241603","doi":"","title":"La distribution d'Ã©chantillonnage de l'estimateur du niveau d'habiletÃ© en testing adaptatif en fonction de deux rÃ¨gles d'arrÃªt, selon l'erreur type et selon le nombre d'items administrÃ©s","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Relation (database); Term (time); Function (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04446635,0.001813912,0.001621295,0.003857228,0.001438518,0.004669034,0.003574063,0.003443601,0.03607609],"category_scores_gemma":[0.2327094,0.0009508333,0.002787379,0.003632913,0.004597489,0.003531992,0.003227707,0.004487064,0.007611943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003796636,"about_ca_system_score_gemma":0.002672682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03508896,"about_ca_topic_score_gemma":0.02208345,"domain_scores_codex":[0.9504526,0.02726756,0.002383248,0.011547,0.006285313,0.002064268],"domain_scores_gemma":[0.5547891,0.3733844,0.00955577,0.04519574,0.01470425,0.002370644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005390799,0.0003765315,0.2621393,0.001205442,0.001889168,0.0007584864,0.00257984,0.1378688,0.007537166,0.03768907,0.04003055,0.5025348],"study_design_scores_gemma":[0.0004353445,0.001225291,0.3923608,0.0006260154,0.0006851444,0.002177729,0.001897602,0.5018908,0.0185332,0.0351922,0.04450931,0.0004665765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5264357,0.002709528,0.4042169,0.003944965,0.0009558689,0.0005817438,0.01914783,0.01148152,0.03052595],"genre_scores_gemma":[0.8942661,0.0006185279,0.0589995,0.0006310738,0.0002423104,0.0008563219,0.01535517,0.002314378,0.02671666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04446635,"threshold_uncertainty_score":0.2351633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005319660000818845,"score_gpt":0.1717387884598266,"score_spread":0.1664191284590077,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}