{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009297273,0.0002915398,0.0002068999,0.0006814133,0.003477231,0.005039715,0.0005889704,0.001420914,0.01537646],"category_scores_gemma":[0.002107114,0.0001998326,0.0001922902,0.0008107329,0.00201492,0.003734441,0.006532222,0.0009776838,0.001642697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177532,"about_ca_system_score_gemma":0.002736535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02932459,"about_ca_topic_score_gemma":0.04341771,"domain_scores_codex":[0.9980633,0.001074196,0.00004383015,0.0001522422,0.0003496216,0.0003168757],"domain_scores_gemma":[0.999239,0.0002575934,0.00005776293,0.00006662246,0.00009499551,0.0002840643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000316174,0.0001832608,0.008025526,0.00094794,0.00004019107,0.003508799,0.0687865,0.004112256,0.005973103,0.25986,0.08911907,0.5591272],"study_design_scores_gemma":[0.00002553753,0.00009174545,0.003743596,0.0003321826,0.000008470663,0.001348638,0.0177884,0.0009030788,0.0005696306,0.009418983,0.9657345,0.00003520034],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.191545,0.01322163,0.05616738,0.02003322,0.001757536,0.0001831348,0.0003729129,0.001119524,0.7155997],"genre_scores_gemma":[0.8523839,0.004958481,0.02407659,0.0005622884,0.0002597593,0.000129153,0.0002480527,0.0002866894,0.1170953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02932459,"threshold_uncertainty_score":0.05830783,"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."}}