{"id":"W6976399457","doi":"10.6068/dp14ba8142e0949","title":"Trend 2009 - 2010. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Trucking industry, fleet and equipment statistics and territory | Variable: Van and/or semi-trailers, climate controlled | Units: #, 2009-2010. 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":"Economic statistics; Summary statistics; Official statistics; Census; Descriptive statistics; Taxis; 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":[0.001971977,0.002472535,0.002604113,0.007442114,0.003232621,0.00467059,0.004973757,0.001442577,0.09200127],"category_scores_gemma":[0.01685978,0.001667236,0.00215685,0.03671388,0.0006345825,0.002760609,0.002293771,0.003104273,0.05543634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05114643,"about_ca_system_score_gemma":0.1284936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950126,"about_ca_topic_score_gemma":0.9930744,"domain_scores_codex":[0.9959762,0.0002844969,0.0004157363,0.0005561535,0.001836846,0.0009305459],"domain_scores_gemma":[0.971358,0.0009413583,0.0007943464,0.0008631764,0.02467412,0.001368915],"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":[0.00002068135,0.000005731624,0.0009763536,0.0002214495,0.00002048953,0.000006614509,0.00002003879,0.0001344225,0.000009089427,0.0004288569,0.9965459,0.001610374],"study_design_scores_gemma":[0.0001272616,0.00001180189,0.01954985,0.0008282123,0.00007256974,0.00002716954,0.0004575587,0.0006160961,0.0001687963,0.0007293925,0.9773247,0.00008662456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005704347,0.00005791194,0.00003684612,0.0001400999,0.00003612395,0.00001460983,0.9984955,0.00006956999,0.001092307],"genre_scores_gemma":[0.0009984208,0.0003308395,0.0004675922,0.0001752873,0.00001989153,0.0001203514,0.9933692,0.0001462104,0.004372208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09200127,"threshold_uncertainty_score":0.3710951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164120656328639,"score_gpt":0.2455251695277959,"score_spread":0.2238839629645095,"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."}}