{"id":"W6888893593","doi":"10.25318/3810026001-fra","title":"Classement du nombre d'accidents aux installations pour les principaux produits, types d'emballages et événements déclencheurs, Transports Canada","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Ile de france; Metropolitan area; Population; Poison control","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000794621,0.001707887,0.001182029,0.005450554,0.00114076,0.002067627,0.00225307,0.001486637,0.02618654],"category_scores_gemma":[0.007068174,0.0007116382,0.001137913,0.0111046,0.0005124972,0.001068172,0.001031951,0.001874769,0.0203799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007774664,"about_ca_system_score_gemma":0.01669982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8794404,"about_ca_topic_score_gemma":0.9187799,"domain_scores_codex":[0.9990854,0.00005439283,0.00009280058,0.0002473229,0.0003144218,0.0002056589],"domain_scores_gemma":[0.9955463,0.0007714846,0.0003729667,0.0004540066,0.002524313,0.0003308432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008300281,0.00002703773,0.009966123,0.000471416,0.00004732565,0.0000217922,0.0000529674,0.0008231601,0.00008815386,0.0004141122,0.9847302,0.003274827],"study_design_scores_gemma":[0.000255379,0.0000264548,0.1222657,0.0005077268,0.0001003042,0.00008188147,0.000524756,0.002149594,0.000716839,0.0007711804,0.8725171,0.00008310067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004148484,0.00004987252,0.00002786725,0.0000477397,0.00001081325,0.000004701191,0.9989209,0.00008645639,0.0004367882],"genre_scores_gemma":[0.00166863,0.00009496656,0.0001572664,0.0000227585,0.000005829274,0.00002800414,0.9964415,0.00002583124,0.001555244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1205596,"threshold_uncertainty_score":0.2425392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712487531364159,"score_gpt":0.285353225561941,"score_spread":0.2682283502482994,"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."}}