{"id":"W621268125","doi":"","title":"CANADIAN GOVERNMENT STUDYING TRANSIT FUNDING ROLE, TRIGGERING INDUSTRY OPTIMISM","year":2001,"lang":"en","type":"article","venue":"Passenger transport","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Optimism; Transit (satellite); Government (linguistics); Business; Urban transit; Rapid transit; Rail transit; Transport engineering; Public transport; Engineering; Psychology","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":[0.001777198,0.0002383696,0.0002971106,0.001883104,0.005772144,0.004340809,0.0007364633,0.001324682,0.006466347],"category_scores_gemma":[0.009137805,0.000212403,0.0003037456,0.003993185,0.002342625,0.001249159,0.0007959313,0.001841675,0.0002791841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1076575,"about_ca_system_score_gemma":0.1142199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934466,"about_ca_topic_score_gemma":0.9966879,"domain_scores_codex":[0.9986464,0.0002006599,0.00002324314,0.00007695451,0.000335723,0.0007170497],"domain_scores_gemma":[0.9918156,0.00187786,0.001310515,0.000193492,0.003316971,0.001485634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001020131,0.001163344,0.7214503,0.0003400859,0.0002184172,0.0004511374,0.03687423,0.002710146,0.0009567579,0.09320766,0.07660078,0.06500701],"study_design_scores_gemma":[0.00006976826,0.00006298753,0.9100081,0.0001331306,0.0001059107,0.00002894445,0.05059056,0.001357112,0.0002746636,0.002602459,0.03471759,0.00004883442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9225028,0.002049925,0.00009881551,0.02010754,0.00008096521,0.0000440806,0.0008366799,0.000008479859,0.05427065],"genre_scores_gemma":[0.9915627,0.0008084184,0.00005513657,0.000454373,0.00002235389,0.00001010887,0.0001593625,0.000004125695,0.00692345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1076575,"threshold_uncertainty_score":0.7811133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384655691430001,"score_gpt":0.2675730595905418,"score_spread":0.2291074904475417,"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."}}