{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377967,0.0001454159,0.0003094792,0.0003321735,0.0002692285,0.00001771854,0.0005207291,0.0002334305,0.00005674068],"category_scores_gemma":[0.003922067,0.0001411139,0.00003045314,0.0006640847,0.0001035856,0.0002760031,0.0005249817,0.0007806955,0.00004649302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009415408,"about_ca_system_score_gemma":0.0006968899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473452,"about_ca_topic_score_gemma":0.05791984,"domain_scores_codex":[0.9976944,0.0009437898,0.0005584242,0.0003578906,0.00008479934,0.0003607351],"domain_scores_gemma":[0.99781,0.0008008262,0.0003039487,0.0007459163,0.0002805549,0.00005873951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002773659,0.0007988992,0.9336769,0.0005438045,0.00003903063,0.000007457161,0.01648621,0.0000168476,0.0005441749,0.01630177,0.005488987,0.02581857],"study_design_scores_gemma":[0.002534978,0.0001372295,0.6269601,0.00141983,0.00004040823,5.111868e-7,0.1407881,0.0003784949,0.0008362248,0.006194474,0.2203425,0.0003671272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368342,0.0004076656,0.0003127616,0.03013283,0.000344794,0.001941697,0.00007573516,0.0001728797,0.02977744],"genre_scores_gemma":[0.9906536,0.0001996249,0.0003977363,0.0005827184,0.00001909928,0.0004693714,0.00004704473,0.000008577441,0.007622226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3067168,"threshold_uncertainty_score":0.9592707,"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."}}