{"id":"W6982364296","doi":"","title":"Identifying clusters of public transit unreliability through an equity lens using GIS: A study of Winnipeg, Manitoba, Canada","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Public transport; Equity (law); Transit (satellite); Inequality; Service provider; Public service; Service (business)","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":[0.001133546,0.0007169265,0.0006966727,0.003417448,0.008120752,0.003120281,0.002197027,0.000494579,0.002079558],"category_scores_gemma":[0.003668088,0.000917476,0.0004424095,0.008993768,0.00293731,0.0009756293,0.002677497,0.0008813379,0.0002423181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06669282,"about_ca_system_score_gemma":0.06920739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982792,"about_ca_topic_score_gemma":0.9993008,"domain_scores_codex":[0.9986437,0.000168244,0.00004711458,0.0002134089,0.0002907301,0.0006367443],"domain_scores_gemma":[0.9980862,0.0002150299,0.0002675787,0.0001008509,0.0008428876,0.0004874302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000140578,0.0001479521,0.8805587,0.0002197588,0.0001123017,0.001151606,0.08262432,0.0006890825,0.001197907,0.003438393,0.004523559,0.02519588],"study_design_scores_gemma":[0.0000108385,0.00003846184,0.8783214,0.0001605967,0.00003464939,0.0001881129,0.1141473,0.0008547918,0.0001731303,0.000242221,0.005785678,0.00004279722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936558,0.0005030358,0.0003722545,0.0007194037,0.00001061416,0.0001770531,0.001311727,0.00001055234,0.003239559],"genre_scores_gemma":[0.9959204,0.0005639603,0.0007714337,0.0001632832,0.000003767919,0.00008539933,0.0006383993,0.00001551859,0.001837736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06669282,"threshold_uncertainty_score":0.4838926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3164947608890304,"score_gpt":0.4034241780240096,"score_spread":0.0869294171349792,"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."}}