{"id":"W3092266739","doi":"10.1177/0361198120953797","title":"Finding the Subway Disruption Regimes of Switching Subway to Uber in Toronto","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Public transport; Service (business); Transport engineering; Transit (satellite); Government (linguistics); Commission; Business; Engineering; Marketing; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003286185,0.0002449513,0.000452664,0.0005446254,0.0003059827,0.00008276632,0.001013913,0.0001569028,0.0003363023],"category_scores_gemma":[0.000212847,0.0001779438,0.0002975687,0.003048195,0.000221783,0.0007593035,0.000005601614,0.001732603,0.00001436395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000392349,"about_ca_system_score_gemma":0.0002821824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008750919,"about_ca_topic_score_gemma":0.1352718,"domain_scores_codex":[0.9943154,0.0005049871,0.001785159,0.0003167106,0.002386387,0.0006913739],"domain_scores_gemma":[0.9966275,0.0007483948,0.0002467939,0.0004188437,0.001625449,0.0003329846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002844602,0.0005319868,0.5730873,0.001582884,0.0005197938,0.0001258886,0.09152972,0.1361462,0.1257531,0.0317308,0.01079334,0.02535444],"study_design_scores_gemma":[0.001077491,0.0003176398,0.9740792,0.0003341765,0.0000373901,3.149975e-7,0.009335913,0.001011232,0.005241069,0.0005766441,0.007780534,0.0002083774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838606,0.0002391295,0.006263909,0.007618165,0.0003706959,0.001147225,0.00006544558,0.00004762524,0.0003872322],"genre_scores_gemma":[0.9979904,0.0005184058,0.0009869211,0.0001171701,0.0001390567,0.00008334685,0.0000187954,0.00005746431,0.00008838773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4009919,"threshold_uncertainty_score":0.9978499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09085504978165909,"score_gpt":0.3828044598862702,"score_spread":0.2919494101046111,"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."}}