{"id":"W291409104","doi":"10.1177/0145482x1110501010","title":"The Brussels Metro: Accessibility through Collaboration","year":2011,"lang":"en","type":"article","venue":"Journal of Visual Impairment & Blindness","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Visually impaired; Orientation and Mobility; Low vision; Orientation (vector space); Assistive technology; Disabled people; Multiple disabilities; Business; Computer science; Public relations; Psychology; Transport engineering; Human–computer interaction; Political science; Engineering; Applied psychology; Optometry; 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":[0.003870945,0.0001576229,0.0003005044,0.00007104538,0.0009973117,0.0003168227,0.000737565,0.000127025,0.0003546895],"category_scores_gemma":[0.0002791378,0.00009880537,0.0002092351,0.0008373988,0.0004289993,0.002078048,0.00003810721,0.0002881651,0.00001054498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241251,"about_ca_system_score_gemma":0.0008632641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005619356,"about_ca_topic_score_gemma":0.002089853,"domain_scores_codex":[0.9971474,0.0004343681,0.0008944193,0.0001955122,0.0009265239,0.000401771],"domain_scores_gemma":[0.9976435,0.0001920274,0.0008608876,0.0002190678,0.0008903234,0.0001942426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369503,0.008846953,0.9067094,0.00004537268,0.0002174264,0.00004693733,0.06878296,0.000002532438,0.0003940842,0.002507026,0.002208369,0.008869383],"study_design_scores_gemma":[0.002458796,0.004042954,0.8701114,0.0001061018,0.0002885646,0.00000365349,0.06497024,0.00002850812,0.01005791,0.02758489,0.01982612,0.0005208348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992552,0.0004907231,0.0008557616,0.0007975604,0.001564493,0.0003286337,0.00000391663,0.00002895305,0.003378004],"genre_scores_gemma":[0.9984129,0.0001572705,0.0004150341,0.0001317396,0.0005915057,0.000006607852,0.000001298028,0.00001098515,0.0002726512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03659803,"threshold_uncertainty_score":0.7670615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05807765049037358,"score_gpt":0.3947876099168653,"score_spread":0.3367099594264918,"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."}}