{"id":"W4407661259","doi":"10.1177/10780874251318264","title":"Pursuing the Promise of Transit Justice: Learning From Austin","year":2025,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Odds; Economic Justice; Politics; Ballot; Public administration; Position (finance); Political science; Public relations; Face (sociological concept); Transit (satellite); Sociology; Political economy; Public transport; Law; Business; Social science; Voting; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006082245,0.0003864136,0.0005750928,0.0007824178,0.004922113,0.007907229,0.00122608,0.006473995,0.004300321],"category_scores_gemma":[0.005536325,0.0001772416,0.0003543913,0.001289045,0.007371033,0.009747383,0.003809207,0.008097597,0.0005424351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003278841,"about_ca_system_score_gemma":0.006496226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007550189,"about_ca_topic_score_gemma":0.02360866,"domain_scores_codex":[0.9947931,0.003993473,0.00011162,0.0002838624,0.0004550575,0.0003629759],"domain_scores_gemma":[0.9932119,0.005210936,0.0002987362,0.0001393639,0.0005307943,0.0006083176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008105047,0.00006671609,0.0007845765,0.001557777,0.00002215158,0.0005839871,0.02751972,0.0003167523,0.0002166135,0.4585462,0.4049064,0.1053981],"study_design_scores_gemma":[0.000007278513,0.00004514431,0.0006782551,0.001274681,0.00001025827,0.0001923179,0.02093039,0.00006776505,0.000120187,0.03032611,0.9463338,0.0000137938],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006778725,0.2370448,0.0004868521,0.7135182,0.006796698,0.000007156726,0.00001445046,0.00001287357,0.03534026],"genre_scores_gemma":[0.2059534,0.4673407,0.0009929307,0.2652432,0.02054115,0.00006803424,0.00004449162,0.00005736367,0.03975868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007907229,"threshold_uncertainty_score":0.03216642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04679992706687366,"score_gpt":0.3597077995226861,"score_spread":0.3129078724558124,"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."}}