{"id":"W6958015617","doi":"10.6068/dp14ba80d0d6174","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 selected provinces and regions | Variable: Total operating and non-operating revenue | Units: $CAD x 1,000, 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; Economic statistics; Taxis; Official statistics; Descriptive statistics; Statistical analysis; Transit (satellite); Public transport","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":[0.001933885,0.002379494,0.002502336,0.007907022,0.003300091,0.004746869,0.004589714,0.001377869,0.08913752],"category_scores_gemma":[0.01573705,0.001641454,0.002096931,0.03750541,0.0005991391,0.002619129,0.002072461,0.003031021,0.0525565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05506187,"about_ca_system_score_gemma":0.1271594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955615,"about_ca_topic_score_gemma":0.9939247,"domain_scores_codex":[0.9960919,0.0002467202,0.0003922498,0.0004893357,0.001863195,0.0009166163],"domain_scores_gemma":[0.9732494,0.000858103,0.0007349354,0.0007439788,0.02317084,0.001242608],"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":[0.0000209212,0.000006029875,0.0009940427,0.0002320974,0.00001908506,0.000007406517,0.00002027599,0.0001337889,0.000008607875,0.000448341,0.9961672,0.001942096],"study_design_scores_gemma":[0.0001082052,0.00001137489,0.02103648,0.0008195158,0.00007123224,0.00002845728,0.0004465141,0.0005975316,0.0001603196,0.0006583399,0.9759797,0.00008232574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006577853,0.00007445818,0.00003735625,0.0001550586,0.00003697728,0.00001474816,0.9983735,0.00006788637,0.001174111],"genre_scores_gemma":[0.001120802,0.0004168359,0.000491775,0.0001844695,0.00002069572,0.0001110612,0.9923862,0.0001299331,0.005138172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08913752,"threshold_uncertainty_score":0.3995036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489049929388778,"score_gpt":0.2165954583038623,"score_spread":0.2017049590099746,"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."}}