{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03784131,0.0007953607,0.0006858674,0.002126902,0.005272149,0.01348157,0.001778507,0.005177106,0.01936684],"category_scores_gemma":[0.07796077,0.0006105204,0.0006890335,0.0016764,0.01153179,0.01349887,0.01094361,0.004486849,0.006322016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004190502,"about_ca_system_score_gemma":0.01319002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960769,"about_ca_topic_score_gemma":0.002330733,"domain_scores_codex":[0.9633218,0.02608636,0.001235346,0.00252757,0.005037454,0.001791512],"domain_scores_gemma":[0.951058,0.02931524,0.003127473,0.005391155,0.006167523,0.004940766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005027321,0.000491791,0.005493307,0.002220975,0.00008338075,0.0003740128,0.05603293,0.001481066,0.0007718387,0.3112811,0.1106587,0.5110608],"study_design_scores_gemma":[0.00008362618,0.0002302585,0.004154238,0.00440306,0.00005456642,0.0002518145,0.03281278,0.0005732974,0.0005938341,0.3058173,0.6509804,0.00004493179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04277661,0.0133001,0.1221016,0.2463487,0.005200512,0.0009133613,0.0001419266,0.00100492,0.5682123],"genre_scores_gemma":[0.7592537,0.01714871,0.1505366,0.02268679,0.002503959,0.001899204,0.0002457557,0.0004434834,0.04528192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03784131,"threshold_uncertainty_score":0.2001263,"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."}}