{"id":"W6963933459","doi":"10.25318/2310018901-fra","title":"Enquête sur les véhicules au Canada, nombre de véhicules dans le champ de l'enquête, selon le type de véhicule et l'âge du modèle du véhicule, 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; Agrégation","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":[0.0006955934,0.001476609,0.00116806,0.005860147,0.001541489,0.002209712,0.001800719,0.001078403,0.02236819],"category_scores_gemma":[0.006591564,0.0005785768,0.001189705,0.01475194,0.0005695739,0.001166122,0.001037774,0.001521052,0.01715238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0121852,"about_ca_system_score_gemma":0.02244805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9454708,"about_ca_topic_score_gemma":0.9686282,"domain_scores_codex":[0.9988297,0.00008574229,0.0001151131,0.0002937213,0.0004409889,0.0002346494],"domain_scores_gemma":[0.9954637,0.0005675327,0.0002439029,0.0003585448,0.00309652,0.0002698482],"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":[0.00009603729,0.00002423673,0.01162974,0.0007070304,0.00007193485,0.00004116603,0.000109792,0.0008931587,0.0001380857,0.0009163009,0.9780129,0.007359532],"study_design_scores_gemma":[0.00008576777,0.00001915368,0.0638269,0.0005365981,0.00008215853,0.00007536673,0.0006919418,0.001520064,0.0005874929,0.0007127421,0.9317848,0.00007711841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009152606,0.0001730046,0.000121303,0.0001037321,0.00002674014,0.00001198367,0.9967086,0.0001785101,0.001760809],"genre_scores_gemma":[0.002529109,0.0002668807,0.000432189,0.00004739708,0.000007968899,0.00004204836,0.993742,0.00004995771,0.002882405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05452925,"threshold_uncertainty_score":0.1097007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050387394232782,"score_gpt":0.2350069556579373,"score_spread":0.2245030817156095,"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."}}