{"id":"W2283511115","doi":"10.1016/j.tbs.2016.01.001","title":"Space–time mismatch between transit service and observed travel patterns in the Wasatch Front, Utah: A social equity perspective","year":2016,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"National Institute for Transportation and Communities; Portland State University; U.S. Department of Transportation","keywords":"Public transport; TRIPS architecture; Destinations; Travel behavior; Transport engineering; Equity (law); Transit (satellite); Descriptive statistics; Geography; Business; Supply and demand; Demographic economics; Economics; Engineering; Tourism; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411939,0.0002540753,0.0004158336,0.00002078919,0.0008183909,0.0001392659,0.0003884651,0.0003270133,0.0001763785],"category_scores_gemma":[0.00001120394,0.0001701106,0.0002201971,0.0002058251,0.000460962,0.0003503877,0.00003824849,0.0003188114,0.000005316751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569396,"about_ca_system_score_gemma":0.000141176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346018,"about_ca_topic_score_gemma":0.01443385,"domain_scores_codex":[0.9978187,0.0002650672,0.0003105551,0.0005293967,0.0004959548,0.0005803177],"domain_scores_gemma":[0.9992725,0.0001929453,0.00008709785,0.0001740024,0.00011352,0.0001599158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001589186,0.0001046358,0.7104917,0.00002488745,0.00002820299,0.000004118158,0.2871839,1.21417e-8,0.000590836,0.0003700631,0.0001359446,0.001049826],"study_design_scores_gemma":[0.001077416,0.00002776387,0.909968,0.00003065405,0.000129579,4.361181e-7,0.08668647,0.000003728776,0.00009956644,0.001701887,0.00002216625,0.0002523164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821435,0.0000952513,0.0004266993,0.01523158,0.00004191962,0.0005011865,0.0002977307,0.00004159474,0.001220542],"genre_scores_gemma":[0.9986359,0.00009675341,0.00008048634,0.000359916,0.0002581532,0.00002290966,0.0000133438,0.00001794056,0.0005146337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2004974,"threshold_uncertainty_score":0.9830427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07057255134156942,"score_gpt":0.3242956110056941,"score_spread":0.2537230596641247,"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."}}