{"id":"W4308748249","doi":"10.1007/s11116-022-10346-0","title":"Fair transport policies for older people: accessibility and affordability of public transport in Santiago, Chile","year":2022,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable","keywords":"Public transport; Subsidy; Disadvantage; Car ownership; Inequality; Public economics; Socioeconomic status; Public policy; Population; Transport policy; Business; Economics; Economic growth; Transport engineering; Political science; Environmental health; Engineering; Medicine","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":[0.002519166,0.0002235537,0.0005051898,0.0002175149,0.0007163184,0.00001723755,0.0003875331,0.0001248843,0.0008306623],"category_scores_gemma":[0.00002666088,0.0002451573,0.0002241831,0.001024732,0.0004976144,0.0007225976,0.00000411413,0.0002423197,2.343353e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103861,"about_ca_system_score_gemma":0.0004437544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01207544,"about_ca_topic_score_gemma":0.1517926,"domain_scores_codex":[0.9971166,0.0001797472,0.0009305262,0.0006302621,0.0006128021,0.0005300099],"domain_scores_gemma":[0.9990576,0.0001754915,0.0002482662,0.0002607821,0.0001216354,0.0001362611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301226,0.0004968805,0.9570017,0.0002751334,0.00001717932,0.000001527467,0.03557359,0.00008868109,0.0001209472,0.004644857,0.000009085652,0.001640339],"study_design_scores_gemma":[0.001167807,0.00009045886,0.9867558,0.00001397085,0.00006219575,1.438006e-7,0.007201259,0.00002668487,0.0001947969,0.003557027,0.0006784918,0.0002513237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993484,0.0002068676,0.001885538,0.0008973599,0.0001406129,0.00154181,0.0007952583,0.0001027514,0.0009457925],"genre_scores_gemma":[0.9985015,0.0000443545,0.0003349493,0.000060643,0.00004223737,0.0003264179,0.00059637,0.0000234852,0.00007004284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1397172,"threshold_uncertainty_score":0.9997222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803624613591568,"score_gpt":0.314262213665747,"score_spread":0.2862259675298313,"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."}}