{"id":"W6907699176","doi":"10.25318/2310015601-fra","title":"Enquête sur les véhicules au Canada, véhicules-kilomètres, selon le type de véhicule et le type de carburant, annuel","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; Type (biology); Christian ministry","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":[0.0006034229,0.001762279,0.001365483,0.00820953,0.001384664,0.002430105,0.001877764,0.001082701,0.03434903],"category_scores_gemma":[0.006295752,0.00067137,0.001338997,0.02228551,0.0005500634,0.001310252,0.00118209,0.001521568,0.02521382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009827405,"about_ca_system_score_gemma":0.02085098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9282809,"about_ca_topic_score_gemma":0.9522679,"domain_scores_codex":[0.9987926,0.00007478327,0.0001312004,0.0002782418,0.0004840995,0.000238963],"domain_scores_gemma":[0.9950882,0.0005603065,0.0002669017,0.0003615847,0.003476882,0.000246161],"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":[0.00007777008,0.00001586544,0.004314492,0.0008993419,0.00005624753,0.00002867035,0.00005543499,0.0004884366,0.0001278515,0.0006585025,0.9878551,0.005422172],"study_design_scores_gemma":[0.0000821393,0.00001238202,0.02973275,0.0005705666,0.00005227689,0.00004934023,0.0003616786,0.0006242524,0.000419102,0.0005481844,0.9674963,0.00005104086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002722373,0.000136907,0.000049149,0.00005953498,0.00001592831,0.000007313984,0.9982176,0.0001127191,0.001128469],"genre_scores_gemma":[0.001094294,0.0003081397,0.0002427627,0.00004222777,0.000006713197,0.00002742266,0.9959228,0.00004037222,0.002315248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07171911,"threshold_uncertainty_score":0.1442829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065215118357907,"score_gpt":0.2584229589297187,"score_spread":0.2477708077461396,"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."}}