{"id":"W6976647860","doi":"10.6068/dp14ba82dd53e0","title":"Trend 1999 - 2010. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Road motor vehicles, registrations | Variable: Vehicles weighing 4,500 kilograms to 14,999 kilograms | Units: #, 1999-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-197.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Taxis; Economic statistics; Descriptive statistics; Statistical analysis; Summary statistics; Official statistics; Truck","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":[0.001924052,0.002507612,0.002581906,0.008572401,0.003406704,0.004638783,0.005288423,0.001551526,0.1045413],"category_scores_gemma":[0.01554343,0.00156034,0.002358163,0.03809139,0.0006248784,0.002819182,0.00209631,0.003038849,0.06195532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04822699,"about_ca_system_score_gemma":0.1189798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938098,"about_ca_topic_score_gemma":0.9915094,"domain_scores_codex":[0.9961355,0.0002505588,0.0003865048,0.0005329732,0.0017961,0.0008983701],"domain_scores_gemma":[0.9712388,0.0008913653,0.0007911298,0.0008429983,0.02500229,0.001233471],"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":[0.00002279738,0.000005831557,0.00104455,0.0002800594,0.00002160043,0.000006869825,0.00001901527,0.0001314982,0.00001016145,0.0004750477,0.9960487,0.001933945],"study_design_scores_gemma":[0.0001138423,0.00001192464,0.01945169,0.0007907544,0.0000726221,0.00002875235,0.0003697718,0.0005062008,0.000162946,0.0006886553,0.9777249,0.00007784292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000565937,0.00006804794,0.00003746477,0.0001246755,0.00003936089,0.00001815831,0.9982913,0.00007248883,0.001291893],"genre_scores_gemma":[0.0009434212,0.0003588821,0.0004274096,0.0001615599,0.00002137562,0.0001334629,0.9927314,0.0001492065,0.005073231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1045413,"threshold_uncertainty_score":0.349913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452125350318809,"score_gpt":0.243270694496858,"score_spread":0.2187494409936699,"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."}}