{"id":"W6939204646","doi":"10.6068/dp14ba855b4e495","title":"Trend 1997 - 2007. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Taxi and limousine service industry, revenues and expenses and territory | Variable: License fees, property and business taxes, Self-employed drivers | Units: $CAD x 1,000, 1997-2007. 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":"License; Revenue; Summary statistics; Economic statistics; Service (business); Census; Official statistics; Descriptive statistics; Taxis","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":[0.001942083,0.002388285,0.002564753,0.007668606,0.003350006,0.004639091,0.004725735,0.001406174,0.09137861],"category_scores_gemma":[0.01620492,0.001677743,0.001937444,0.0376089,0.0006351586,0.002602767,0.002142735,0.003073218,0.05840848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05123381,"about_ca_system_score_gemma":0.1268605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953471,"about_ca_topic_score_gemma":0.9935431,"domain_scores_codex":[0.9960364,0.0002511583,0.0003912756,0.0005153632,0.001857335,0.0009486119],"domain_scores_gemma":[0.971713,0.0009532463,0.000740334,0.0008091242,0.02448921,0.001295017],"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":[0.00002021339,0.000005676075,0.0009018015,0.0002079251,0.00001684988,0.000006693679,0.00002073173,0.0001191609,0.000008626798,0.0004236323,0.9965802,0.001688375],"study_design_scores_gemma":[0.000118254,0.00001130418,0.01944769,0.0007956963,0.00006481377,0.00002644444,0.0004905248,0.0005343074,0.0001586351,0.0006873597,0.9775872,0.00007787636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006105662,0.00005679267,0.00003423121,0.0001305053,0.00003063872,0.00001425479,0.9984818,0.00006681749,0.001123873],"genre_scores_gemma":[0.0008900177,0.0003144071,0.0004199457,0.0001494273,0.00001632214,0.0001061645,0.9936036,0.0001296388,0.004370417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09137861,"threshold_uncertainty_score":0.3717291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915334935867763,"score_gpt":0.2243598691567139,"score_spread":0.2052065197980362,"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."}}