{"id":"W4412698771","doi":"10.1016/j.cities.2025.106238","title":"“We can all contribute in our own way”: Knowledge mobilization tools to promote best practices in universal accessibility","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre for Interdisciplinary Research in Rehabilitation","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Mobilization; Best practice; Business; Political science; Knowledge management; Public relations; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02205779,0.0007918767,0.0004328722,0.00315201,0.009669947,0.01690111,0.002539681,0.00523902,0.0116254],"category_scores_gemma":[0.03307545,0.0005101254,0.0007026591,0.003003834,0.01485697,0.01796482,0.01842348,0.004824281,0.001891038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005595595,"about_ca_system_score_gemma":0.02027163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007446688,"about_ca_topic_score_gemma":0.01479753,"domain_scores_codex":[0.9836685,0.01260926,0.0005254986,0.0005173599,0.001786001,0.0008934047],"domain_scores_gemma":[0.9673669,0.02244388,0.001656468,0.002123738,0.003553039,0.002856018],"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":[0.00009512161,0.0006922558,0.00735647,0.00160131,0.00008236487,0.0006352605,0.3007707,0.000743873,0.0008200766,0.2075775,0.06958473,0.4100403],"study_design_scores_gemma":[0.0001164719,0.0003128512,0.007706271,0.005074732,0.0002025705,0.0005960925,0.4933021,0.002172259,0.002434667,0.1627154,0.3251781,0.0001884119],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1440704,0.005137158,0.1048872,0.289513,0.002326978,0.001020562,0.0002017746,0.001860075,0.4509829],"genre_scores_gemma":[0.879665,0.002689453,0.07934093,0.01369287,0.0002094505,0.0008729654,0.0001110129,0.0002423901,0.02317591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02205779,"threshold_uncertainty_score":0.1166541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1753910865869469,"score_gpt":0.4957262173113517,"score_spread":0.3203351307244048,"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."}}