{"id":"W633744967","doi":"","title":"When, Where and How Taxis Are Used in Montreal","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxis; Global Positioning System; Public transport; Descriptive statistics; Geography; Transport engineering; Business; Computer science; Statistics; Telecommunications; Mathematics; Engineering","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":[0.0002057399,0.0001888592,0.0001366101,0.000969824,0.001181089,0.001661286,0.0005189924,0.000257005,0.004366165],"category_scores_gemma":[0.001038575,0.0001484019,0.0002388437,0.002362751,0.000581594,0.0006403795,0.0006104881,0.0003641218,0.0003816001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143239,"about_ca_system_score_gemma":0.004591346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9650117,"about_ca_topic_score_gemma":0.985459,"domain_scores_codex":[0.9997306,0.00002923357,0.000009194629,0.00006937608,0.00006656212,0.0000949627],"domain_scores_gemma":[0.9995515,0.00004700528,0.0001273543,0.00002237768,0.000143462,0.0001082824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001343384,0.00004559916,0.9203918,0.0001789404,0.0001397574,0.0006944768,0.008985466,0.002307667,0.002630456,0.003276438,0.0178681,0.04334692],"study_design_scores_gemma":[0.000002469942,0.00001659091,0.9794153,0.00003431211,0.00001765707,0.00006235833,0.006899523,0.0008422984,0.0002580016,0.00005979604,0.0123597,0.00003194894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766649,0.0005573714,0.0002227924,0.0007195824,0.00001178824,0.00004394111,0.008404921,0.00005000671,0.01332468],"genre_scores_gemma":[0.9908043,0.0004520889,0.0002723284,0.00005878808,0.000005202817,0.00001525351,0.002285385,0.00001414218,0.006092463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03498834,"threshold_uncertainty_score":0.08294809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964250107746879,"score_gpt":0.3194872898995598,"score_spread":0.279844788822091,"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."}}