{"id":"W6944733443","doi":"10.25318/2310008701-fra","title":"Industries canadiennes du transport de passagers par autobus et du transport urbain, frais d'entretien, selon le type de véhicule","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":"Road transport; Sea transport; Exportation; Rail transportation","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":[0.0007671509,0.00174639,0.001414829,0.005491069,0.001003666,0.002041615,0.002431345,0.001658521,0.04370266],"category_scores_gemma":[0.007440737,0.0007830745,0.001293781,0.01601426,0.0004447917,0.001275959,0.001299466,0.002044531,0.03377086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007237298,"about_ca_system_score_gemma":0.01494152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7510372,"about_ca_topic_score_gemma":0.8137539,"domain_scores_codex":[0.9986801,0.0000997627,0.0001691616,0.000267756,0.0004344095,0.0003488369],"domain_scores_gemma":[0.9950235,0.0007323155,0.0005395877,0.0004184094,0.002843212,0.0004430369],"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":[0.00004771725,0.0000106012,0.001809736,0.0004022879,0.00002274895,0.00001340199,0.00001525705,0.0002361902,0.00002798654,0.0005953175,0.9956368,0.001181835],"study_design_scores_gemma":[0.0002299962,0.00001526239,0.03074696,0.0006339859,0.00004664313,0.00004393663,0.0002071958,0.0005952929,0.0002219292,0.0007822228,0.9664269,0.0000496812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001106517,0.00003939257,0.00001905282,0.00004352254,0.00001504473,0.000004314995,0.9991537,0.00003421464,0.0005800204],"genre_scores_gemma":[0.0007229161,0.00009543807,0.0001105932,0.00003771366,0.000007201505,0.00003128233,0.9973851,0.00002381169,0.001585991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2489628,"threshold_uncertainty_score":0.5008579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007553631830910543,"score_gpt":0.2274888416128491,"score_spread":0.2199352097819386,"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."}}