{"id":"W6976564092","doi":"10.6068/dp14ba87562d954","title":"Trend 2005 - 2011. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Canadian passenger bus and urban transit industries, revenue and expenses, by North American Industry Classification System (NAICS) | Variable: Total bus industries and bus activities in non-bus industries, Net income | Units: , 2005-2011. 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":"Revenue; Census; Descriptive statistics; Economic statistics; Taxis; Official statistics; Personal income; Summary statistics; Statistical analysis","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":[0.001729278,0.002411498,0.002573507,0.007605369,0.003094801,0.004488272,0.004784025,0.001396682,0.07464301],"category_scores_gemma":[0.01524249,0.001542222,0.001984766,0.03761758,0.0005847212,0.002499204,0.002026269,0.002994581,0.05063293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04451574,"about_ca_system_score_gemma":0.1004846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937708,"about_ca_topic_score_gemma":0.9921315,"domain_scores_codex":[0.9965364,0.0002332949,0.0003552841,0.0004918445,0.001560821,0.0008222588],"domain_scores_gemma":[0.9755563,0.0008548485,0.0007301319,0.0007746598,0.02093715,0.001147072],"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":[0.00002003965,0.000005728581,0.00097046,0.0002000077,0.00001846819,0.000006661298,0.00001794379,0.0001256438,0.000007951437,0.0003532973,0.9968246,0.001449177],"study_design_scores_gemma":[0.0001256414,0.00001162434,0.02182017,0.000792306,0.00007124653,0.00002926803,0.0004597373,0.0006172465,0.0001650086,0.0006621034,0.9751639,0.00008163642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005504341,0.0000480077,0.00002604442,0.0001028879,0.00002456204,0.00001026752,0.9989705,0.00005407832,0.0007085869],"genre_scores_gemma":[0.000729663,0.0002326699,0.0003186147,0.0001150307,0.00001448921,0.00007831636,0.9956103,0.00008542861,0.002815474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07464301,"threshold_uncertainty_score":0.3229858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795555333641633,"score_gpt":0.2174664437781809,"score_spread":0.1995108904417646,"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."}}