{"id":"W3196464902","doi":"10.1080/01441647.2021.1975954","title":"Making accessibility work in practice","year":2021,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Work (physics); Transport engineering; Business; Public relations; Engineering; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003373202,0.0001660128,0.0004934243,0.00004178163,0.0002120754,0.00005426104,0.0003704715,0.0001318011,0.001750454],"category_scores_gemma":[0.0004335892,0.0001537824,0.0002216323,0.001460905,0.0001650107,0.000872178,0.00001012226,0.0003366807,0.00008267957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149355,"about_ca_system_score_gemma":0.0003785181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006242294,"about_ca_topic_score_gemma":0.01802653,"domain_scores_codex":[0.9972962,0.0005379268,0.000811708,0.0005474067,0.0003735086,0.0004333199],"domain_scores_gemma":[0.9989358,0.0001410626,0.0001923098,0.0004913876,0.0001244881,0.0001149684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003997242,0.0002515077,0.9554369,0.0001163302,0.000007536002,0.0001537296,0.005596854,0.000001136615,0.00001155377,0.0009619263,0.0001547984,0.03726776],"study_design_scores_gemma":[0.0001197766,0.000002572177,0.4569682,0.0001930736,0.00004056504,3.185312e-7,0.0004765012,2.076681e-7,0.00001685145,0.0002877725,0.5417527,0.0001414275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6636949,0.06038855,0.001116715,0.004572208,0.0008401023,0.001562241,0.00001026557,0.0002070548,0.267608],"genre_scores_gemma":[0.9882835,0.005797451,0.003647851,0.000882729,0.0001685022,0.00004695351,0.00002128671,0.00001231049,0.001139486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5415979,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174810898533289,"score_gpt":0.4243648578199113,"score_spread":0.3068837679665824,"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."}}