{"id":"W3094072952","doi":"10.1080/23249935.2020.1840655","title":"Walking duration in daily travel: an analysis among males and females using a hazard-based model","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Duration (music); Demography; Hazard model; Hazard; Hazard ratio; Proportional hazards model; Poison control; Injury prevention; TRIPS architecture; Travel behavior; Psychology; Geography; Medicine; Environmental health; Demographic economics; Transport engineering; Statistics; Confidence interval; Economics; Engineering; Mathematics; Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002167533,0.0003457408,0.0006756858,0.001461719,0.000902937,0.0001699745,0.0008597938,0.0001867504,0.00008681999],"category_scores_gemma":[0.00006303685,0.0003522875,0.0002484823,0.01404588,0.002206374,0.002583254,0.000006187008,0.0003222321,9.38443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590484,"about_ca_system_score_gemma":0.001016296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985318,"about_ca_topic_score_gemma":0.0458039,"domain_scores_codex":[0.995287,0.00009704807,0.0009313577,0.001341305,0.001459651,0.0008836478],"domain_scores_gemma":[0.9983138,0.00007444633,0.0002357742,0.0003545569,0.0001919872,0.0008294144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007900575,0.0001453501,0.9586629,0.00004422228,0.00002033466,0.00005356907,0.0132283,0.02523545,0.00167433,0.0004405101,1.615893e-7,0.0004158727],"study_design_scores_gemma":[0.0004217605,0.00004125006,0.7576205,0.00001931612,0.0003068467,1.149309e-7,0.001161299,0.2395409,0.000435682,0.00009081465,0.00001025648,0.0003512709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048453,0.0001246378,0.09344327,0.0004252392,0.00003904217,0.000488304,0.00005817175,0.0001489204,0.0004271129],"genre_scores_gemma":[0.9924797,0.00005172707,0.007083547,0.0002330434,0.00004839536,0.00001590334,0.00004997682,0.00002369479,0.00001403664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143054,"threshold_uncertainty_score":0.9998929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07599467394013346,"score_gpt":0.3239740728764246,"score_spread":0.2479793989362911,"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."}}