{"id":"W6939106329","doi":"10.6068/dp14ba81cc0b968","title":"Trend 2005 - 2011. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Canadian passenger bus and urban transit industries, equipment operated, by North American Industry Classification System (NAICS) and type of vehicle | Variable: Urban transit systems, Total number of vehicles | 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":"Census; Taxis; Economic statistics; Official statistics; Statistical analysis; Transit (satellite); Public transport; Summary statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001780398,0.00243342,0.002636897,0.007894882,0.003218033,0.004571297,0.004912796,0.001423034,0.07798377],"category_scores_gemma":[0.01535513,0.001601649,0.002014176,0.03839695,0.000603057,0.002632305,0.002052543,0.003080476,0.05282479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04533046,"about_ca_system_score_gemma":0.1067365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940393,"about_ca_topic_score_gemma":0.9921846,"domain_scores_codex":[0.9963342,0.0002440705,0.000375233,0.0005156291,0.001692453,0.0008383323],"domain_scores_gemma":[0.9742536,0.0008764736,0.0007512306,0.000799616,0.02216484,0.001154221],"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":[0.00001872044,0.00000525924,0.0009142266,0.0002050134,0.00001769821,0.000006478384,0.00001829233,0.0001221267,0.000007869998,0.0003678672,0.99684,0.001476399],"study_design_scores_gemma":[0.0001165105,0.00001100314,0.01970651,0.0008017189,0.00007117991,0.00002743385,0.0004506449,0.0005749356,0.0001572682,0.0006485395,0.9773548,0.00007940019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005364766,0.00005240256,0.00002781861,0.0001068642,0.00002753432,0.00001076905,0.9988887,0.00005608763,0.0007761685],"genre_scores_gemma":[0.0007471991,0.0002534613,0.000327412,0.0001199303,0.00001537276,0.00008233944,0.9952267,0.00009281079,0.003134592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9220162,"threshold_uncertainty_score":0.3288971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307095762592635,"score_gpt":0.2328581378115076,"score_spread":0.2097871801855813,"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."}}