{"id":"W6926221485","doi":"10.25318/2310015801-eng","title":"Canadian vehicle survey, vehicle-kilometres, by type of vehicle and days of the week, annual","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Media Discourse and Social  Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Table (database); Tonne; Type (biology); Vehicle type","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":[0.0007903855,0.001827081,0.001371135,0.007856799,0.001820578,0.002712058,0.003022871,0.0009499762,0.04018224],"category_scores_gemma":[0.007570717,0.000756213,0.0009524807,0.0253042,0.0005407984,0.001141019,0.001156429,0.001795062,0.03764816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01657891,"about_ca_system_score_gemma":0.02883618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588112,"about_ca_topic_score_gemma":0.9717254,"domain_scores_codex":[0.9985454,0.00006980429,0.0001416201,0.0002718566,0.0006960994,0.0002751553],"domain_scores_gemma":[0.9939067,0.0004101006,0.0003380054,0.0004387331,0.004502621,0.0004038535],"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":[0.00001634923,0.000008269762,0.001494366,0.0002061798,0.00001489181,0.00001018584,0.00002206326,0.0001286268,0.00001973203,0.0003509237,0.9962506,0.001477805],"study_design_scores_gemma":[0.0000770914,0.000007464152,0.03026424,0.0003202177,0.00003381055,0.0000321656,0.0002892407,0.0004277971,0.0001925454,0.0004493107,0.9678637,0.00004244427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008438724,0.00002849339,0.00001520822,0.00002784192,0.000009742705,0.000005469964,0.9992509,0.00003809737,0.0005396773],"genre_scores_gemma":[0.0005230015,0.00007999644,0.000118318,0.00002091083,0.000004435306,0.00003251868,0.9979485,0.00002017479,0.001252177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04118884,"threshold_uncertainty_score":0.134423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510629555056777,"score_gpt":0.29965629263077,"score_spread":0.2845499970802022,"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."}}