{"id":"W6945040984","doi":"10.25318/2310019101-fra","title":"Enquête sur les véhicules au Canada, véhicules-kilomètres pour véhicules jusqu'à 4,5 tonnes, selon l'origine et la destination du déplacement, trimestriel","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Object (grammar); Symbol (formal)","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":[0.0009653139,0.0008209785,0.0006898351,0.008698341,0.003070415,0.002994225,0.001148947,0.0005886576,0.02895723],"category_scores_gemma":[0.004375599,0.0004635403,0.001242132,0.02275529,0.0006937026,0.001561186,0.00129376,0.0008786815,0.005489477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0127622,"about_ca_system_score_gemma":0.0282001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9777734,"about_ca_topic_score_gemma":0.9882209,"domain_scores_codex":[0.9981586,0.0000761937,0.0001608793,0.000260057,0.001067476,0.0002767498],"domain_scores_gemma":[0.9940448,0.0004773103,0.0003111096,0.0001216367,0.004860761,0.0001844064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004671841,0.0000977557,0.3620486,0.006211868,0.0006536857,0.0006624465,0.01469972,0.002660759,0.003087488,0.007211086,0.3584285,0.2437709],"study_design_scores_gemma":[0.00001285637,0.00005699555,0.4473681,0.00154919,0.0001990353,0.0001450679,0.01929663,0.0004893293,0.001247937,0.000453258,0.5290648,0.000116789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1457987,0.009162888,0.006220797,0.00191505,0.0005772309,0.0006621995,0.6780069,0.0006919146,0.1569643],"genre_scores_gemma":[0.2786168,0.02339426,0.01953151,0.001522203,0.0001878868,0.001194588,0.3969115,0.000622485,0.2780188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02895723,"threshold_uncertainty_score":0.09687155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117561754919532,"score_gpt":0.2685996304128854,"score_spread":0.2574240128636901,"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."}}