{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006473903,0.0001454002,0.0003465038,0.0001106075,0.0002853306,0.0000297523,0.0003964866,0.0001874053,0.0002306992],"category_scores_gemma":[0.001738867,0.0001320085,0.0000290049,0.0007130595,0.0002453197,0.00005810325,0.00004367833,0.0001870444,0.000001945847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003835204,"about_ca_system_score_gemma":0.003501762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957381,"about_ca_topic_score_gemma":0.9996762,"domain_scores_codex":[0.9979151,0.0003614282,0.0003285305,0.0002106174,0.0008995493,0.0002847464],"domain_scores_gemma":[0.9978964,0.0006916708,0.0003724706,0.0002630596,0.0005608418,0.000215514],"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":[0.000004978458,0.00002223342,0.004185626,0.00005842377,0.00004934118,0.000002021824,0.0005453594,0.000001156001,0.00001411484,0.0002897804,0.9941445,0.0006824406],"study_design_scores_gemma":[0.0001951265,0.00007758007,0.1497243,0.0001367017,0.0003707685,1.423343e-7,0.008183253,0.00005960353,0.00007432235,0.0002895756,0.8404434,0.0004451961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01206913,0.0002797819,0.000003037275,0.0004253964,0.0004556334,0.0001931239,0.9864545,0.000001677891,0.0001177184],"genre_scores_gemma":[0.1959552,0.0002915723,0.000008037905,0.00006300809,0.0000546782,0.00000330444,0.8023775,0.00001097281,0.001235774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.184077,"threshold_uncertainty_score":0.6211975,"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."}}