{"id":"W6945027496","doi":"10.25318/2310013801-eng","title":"Canadian vehicle survey, vehicles up to 4.5 tonnes, passenger-kilometres by type of vehicle and purpose of trip (specific to vehicle type), quarterly","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Work (physics); Vehicle type; Data collection; Trip generation","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":[0.0006891632,0.001694127,0.001252946,0.006810525,0.001780964,0.002349558,0.002837879,0.0008261753,0.04429673],"category_scores_gemma":[0.005668336,0.0007625751,0.0008315049,0.02474331,0.000448774,0.001179915,0.000927233,0.001575457,0.03037515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01886272,"about_ca_system_score_gemma":0.03142864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9790832,"about_ca_topic_score_gemma":0.983532,"domain_scores_codex":[0.9986125,0.00005598749,0.0001240891,0.0002382551,0.0006863424,0.0002829284],"domain_scores_gemma":[0.99449,0.0002710736,0.0003293114,0.0002828597,0.004289989,0.0003367164],"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":[0.00002033318,0.0000082488,0.00202572,0.0002014788,0.00001538422,0.00001137886,0.00002066422,0.0001548713,0.0000151842,0.0004385815,0.9953812,0.001706959],"study_design_scores_gemma":[0.00008290517,0.00001048124,0.05199004,0.0003310268,0.00004001542,0.0000356221,0.0003018623,0.0005096322,0.0002107491,0.0004155304,0.9460245,0.00004764718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001362826,0.0000384517,0.00001888529,0.00003647467,0.00001252583,0.000007585509,0.9987491,0.00002765821,0.0009730327],"genre_scores_gemma":[0.001102897,0.0001344903,0.0001576689,0.00003059829,0.00000621367,0.00003678784,0.9957815,0.0000205929,0.002729258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04429673,"threshold_uncertainty_score":0.1481873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676284489487495,"score_gpt":0.2816719187748784,"score_spread":0.2649090738800035,"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."}}