{"id":"W2764289896","doi":"","title":"DEVELOPMENT OF A MEASURE OF ACCESSIBILITY TO URBAN INFRASTRUCTURES: A CONTENT VALIDITY STUDY","year":2016,"lang":"en","type":"article","venue":"Medical Research Archives","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Web accessibility; Wheelchair; Pedestrian; Content validity; Applied psychology; Rehabilitation; Identification (biology); Process (computing); Computer science; Psychology; Medical education; Transport engineering; Engineering; World Wide Web; Medicine; Psychometrics; The Internet","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009425695,0.0001144918,0.0004091384,0.0002792362,0.0004521096,0.000001710864,0.001372149,0.0001518135,0.001118341],"category_scores_gemma":[0.03783545,0.00006421,0.00005475599,0.0003517279,0.001365506,0.00003808971,0.001943573,0.001003829,0.00003030563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271594,"about_ca_system_score_gemma":0.002253418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006749,"about_ca_topic_score_gemma":0.001070734,"domain_scores_codex":[0.9920673,0.004400942,0.001004924,0.0003693654,0.001635763,0.0005217358],"domain_scores_gemma":[0.9902804,0.007350865,0.0001849665,0.001173666,0.0005449555,0.0004651822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004889393,0.0008232848,0.7585722,0.0001225693,0.00005139579,0.000001552719,0.01217692,6.385378e-9,0.01205998,0.0007852348,0.001168098,0.2137498],"study_design_scores_gemma":[0.001121333,0.0003151169,0.9798025,0.0005236353,0.000003626712,1.333788e-7,0.006700785,0.000002641777,0.002845476,0.001903878,0.006715731,0.00006517328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815367,0.00004877855,0.009531976,0.002419548,0.00005863744,0.001710901,0.0000254588,0.00004711617,0.00462088],"genre_scores_gemma":[0.9945135,0.00002583944,0.004575381,0.00006054015,0.00002688525,0.0004796851,0.000002140242,0.000008713116,0.000307362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2212302,"threshold_uncertainty_score":0.9997948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5137827185453828,"score_gpt":0.5607672648037785,"score_spread":0.04698454625839565,"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."}}