{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001694482,0.00182926,0.00164321,0.0004957618,0.00160199,0.0004703647,0.0016013,0.001124116,0.0004273043],"category_scores_gemma":[0.007185122,0.002231373,0.0001338654,0.001601172,0.0004339179,0.0005054352,0.0003443939,0.002052723,0.0001998785],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01520716,"about_ca_system_score_gemma":0.08517978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999357,"about_ca_topic_score_gemma":0.9999742,"domain_scores_codex":[0.9894024,0.001501636,0.001714945,0.001771759,0.002865694,0.002743562],"domain_scores_gemma":[0.9887487,0.002580282,0.001770213,0.001732007,0.003944764,0.001224017],"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":[0.0002579367,0.0003613933,0.002363817,0.002223628,0.0005484271,0.001305742,0.0003298778,0.004811812,0.001481922,0.009090454,0.9757528,0.001472214],"study_design_scores_gemma":[0.001086713,0.0002376394,0.06815894,0.001550972,0.0008814981,0.0002165583,0.001852818,0.006103593,0.001023972,0.00009711599,0.9162269,0.002563316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009957747,0.003176668,0.0007574957,0.001525432,0.003132884,0.001396822,0.979449,0.00008301947,0.0005209136],"genre_scores_gemma":[0.1475394,0.0007868943,0.001859917,0.0002957383,0.0004137785,0.00008364178,0.844141,0.0005106108,0.004369001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1375817,"threshold_uncertainty_score":0.9996978,"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."}}