{"id":"W7133283362","doi":"","title":"Réponse des Sciences : Stocks de capucette","year":2024,"lang":"fr","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Passer; Clearing; Prospection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002535945,0.0006334272,0.0004406008,0.003250104,0.001681262,0.002894106,0.00111776,0.0006068149,0.01011805],"category_scores_gemma":[0.003301325,0.0002036537,0.0005797007,0.002931938,0.0005838829,0.0009315091,0.0009873756,0.0006680418,0.002114514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00657077,"about_ca_system_score_gemma":0.007506263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5204644,"about_ca_topic_score_gemma":0.6715483,"domain_scores_codex":[0.9983249,0.0001268406,0.00004943654,0.0003054696,0.001026926,0.0001663695],"domain_scores_gemma":[0.9951202,0.0003380245,0.0005594762,0.0001951074,0.003146799,0.000640383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009733904,0.0001320532,0.6085664,0.0008873687,0.0005752398,0.001039731,0.003801628,0.005034147,0.0382309,0.005231261,0.05200995,0.2835179],"study_design_scores_gemma":[0.00002148619,0.0002588799,0.7880331,0.000250759,0.0001222256,0.0002144888,0.002112324,0.001258214,0.007711648,0.000633414,0.1993125,0.00007084864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6961684,0.0160774,0.01071887,0.006004866,0.001368055,0.0004398505,0.06700726,0.0006623365,0.201553],"genre_scores_gemma":[0.803718,0.005547195,0.01337371,0.001094947,0.0003294576,0.0002683084,0.03972187,0.0002293355,0.1357171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4795356,"threshold_uncertainty_score":0.9647194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523097189607635,"score_gpt":0.2580905373600274,"score_spread":0.242859565463951,"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."}}