{"id":"W2621133822","doi":"10.17411/jacces.v7i1.122","title":"MUNICIPAL PRACTICES AND NEEDS REGARDING ACCESSIBILITY OF PEDESTRIAN INFRASTRUCTURES FOR INDIVIDUALS WITH PHYSICAL DISABILITIES IN QUÉBEC, CANADA","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Conceptualization; Universal design; Best practice; Web accessibility; Action plan; Descriptive statistics; Plan (archaeology); Limiting; Business; Public relations; The Internet; Computer science; Geography; Political science; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0011414,0.0001956762,0.0002869438,0.0009528106,0.005694562,0.002102322,0.00109918,0.0003872173,0.002958328],"category_scores_gemma":[0.003647841,0.0002382742,0.0002573406,0.002692532,0.001581249,0.0006303747,0.001540951,0.0005832507,0.0001600369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04323505,"about_ca_system_score_gemma":0.0451479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946365,"about_ca_topic_score_gemma":0.9977885,"domain_scores_codex":[0.9988605,0.0001857434,0.00007482374,0.0001157485,0.000345836,0.0004175128],"domain_scores_gemma":[0.9958131,0.0004946786,0.0006626304,0.000120449,0.001702868,0.001206285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007532661,0.0001315067,0.8462709,0.0003608529,0.0000384394,0.000888318,0.08249088,0.0006377061,0.0007926868,0.001552551,0.006695063,0.06006586],"study_design_scores_gemma":[0.000007664108,0.00004953006,0.885481,0.0003194217,0.00001997163,0.0001513671,0.1037906,0.0006362979,0.0001043692,0.0001007912,0.009302976,0.00003583109],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926282,0.0004649819,0.0001601737,0.001326105,0.00000820372,0.0000576788,0.0004708325,0.00001266265,0.0048712],"genre_scores_gemma":[0.9973552,0.0004975133,0.0002710415,0.0001600916,0.000002228807,0.00003370524,0.0001888543,0.000002947466,0.00148842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04323505,"threshold_uncertainty_score":0.3136937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.214912580801843,"score_gpt":0.5451535987278725,"score_spread":0.3302410179260294,"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."}}