{"id":"W6888979131","doi":"10.25318/2310021001-fra","title":"Enquête sur les véhicules au Canada, véhicules-kilomètres et passagers-kilomètres pour les véhicules jusqu'à 4,5 tonnes, partie du travail du conducteur, 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; Limiting; Self employed","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":[0.0006046224,0.001371855,0.001144992,0.007947485,0.001479278,0.002385798,0.001710749,0.0008532932,0.03018336],"category_scores_gemma":[0.005802901,0.0005788637,0.001093416,0.02131383,0.0005499175,0.001186914,0.001086924,0.00138133,0.02043174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01081615,"about_ca_system_score_gemma":0.02033127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9432511,"about_ca_topic_score_gemma":0.9667925,"domain_scores_codex":[0.9988582,0.00007683442,0.0001246935,0.0002581995,0.000437734,0.0002443936],"domain_scores_gemma":[0.9952508,0.0004784861,0.0002893163,0.0003185027,0.003406023,0.0002567827],"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":[0.00008459193,0.00001778836,0.009340642,0.0007727777,0.00006094806,0.00003527372,0.0001159097,0.0005309949,0.0001319535,0.0008958438,0.9812183,0.006794997],"study_design_scores_gemma":[0.00007040792,0.00001319131,0.06421562,0.0005190974,0.00005577172,0.00005862517,0.0006897895,0.0006569325,0.0004595701,0.0005701737,0.9326283,0.00006249986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005335417,0.0001387917,0.00006580428,0.0000691525,0.00001906451,0.000009426312,0.9975375,0.0000982366,0.001528529],"genre_scores_gemma":[0.002108516,0.0002952599,0.0003380951,0.00004173689,0.000009048136,0.00004123518,0.9937971,0.00004142283,0.003327677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05674887,"threshold_uncertainty_score":0.1141661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452277848182502,"score_gpt":0.2484829822287364,"score_spread":0.2339602037469113,"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."}}