{"id":"W6964453335","doi":"10.25318/2310011801-fra","title":"Enquête sur les véhicules au Canada, véhicules-kilomètres, selon le type de véhicule et l'heure du jour, 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":"Limiting; Economic shortage; Context (archaeology)","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":[0.0005844301,0.001382277,0.00130613,0.007546081,0.0014242,0.002331184,0.001821487,0.0008985719,0.03544693],"category_scores_gemma":[0.006445552,0.0006141341,0.001107945,0.02361122,0.0005391537,0.001181964,0.001131458,0.001416221,0.02443207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0104587,"about_ca_system_score_gemma":0.02272598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9457786,"about_ca_topic_score_gemma":0.966078,"domain_scores_codex":[0.9988965,0.00006891099,0.0001256803,0.00024591,0.0004283601,0.0002347296],"domain_scores_gemma":[0.9952663,0.0005268574,0.0002846645,0.0003413711,0.003327107,0.0002537045],"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":[0.00006811225,0.0000134398,0.00633407,0.0007432833,0.00005446715,0.00002897143,0.00008090304,0.0004012785,0.00009189188,0.0007067757,0.986238,0.005238909],"study_design_scores_gemma":[0.00007619058,0.00001226643,0.05145479,0.000633408,0.00006101219,0.00005550351,0.000611236,0.0005892025,0.0003755446,0.0005547364,0.9455181,0.00005811129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003820494,0.000122391,0.00004978503,0.0000619489,0.00001657186,0.000007458157,0.9979991,0.00008652361,0.001274215],"genre_scores_gemma":[0.001736669,0.0002999788,0.0002625638,0.00004389325,0.000007832205,0.00003719868,0.9945416,0.00004093089,0.00302935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05422139,"threshold_uncertainty_score":0.1185817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023461427890265,"score_gpt":0.2498828601004464,"score_spread":0.2396482458215438,"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."}}