{"id":"W6907556745","doi":"10.25318/2310016101-fra","title":"Enquête sur les véhicules au Canada, véhicules-kilomètres pour autobus, selon le type de véhicule et la raison du déplacement (spécifique au type du véhicule), 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":"Homogeneous; Subject (documents); Economic shortage","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":[0.0006822002,0.00154469,0.00129247,0.008486949,0.0012861,0.002373175,0.001814193,0.000963299,0.03369536],"category_scores_gemma":[0.006529378,0.0006741096,0.00117255,0.02412195,0.0005049035,0.001172458,0.001157415,0.00145703,0.02296775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01076158,"about_ca_system_score_gemma":0.02128704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9370562,"about_ca_topic_score_gemma":0.9582601,"domain_scores_codex":[0.9987586,0.00008230823,0.0001453976,0.0002705581,0.0004870998,0.0002561233],"domain_scores_gemma":[0.9948601,0.000602391,0.0003140904,0.0003532662,0.003604099,0.0002661088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006465901,0.00001366314,0.004998371,0.0007232508,0.00005078848,0.00002735262,0.00007363988,0.0004236119,0.00009227821,0.0006150244,0.9881634,0.004753955],"study_design_scores_gemma":[0.00009073374,0.00001154198,0.04692387,0.0005567062,0.0000544056,0.00004928025,0.0004764624,0.0006064714,0.000365452,0.0005150603,0.9502969,0.0000531115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002726051,0.00009509378,0.00003759079,0.00005510259,0.00001187993,0.000006476436,0.998578,0.00007525666,0.0008681037],"genre_scores_gemma":[0.001088765,0.0002088392,0.0002016051,0.00003082035,0.000005542901,0.00002883846,0.9963774,0.00003109583,0.002027187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06294376,"threshold_uncertainty_score":0.1266288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110062863617021,"score_gpt":0.2661714118958988,"score_spread":0.2551651255341967,"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."}}