{"id":"W4405737177","doi":"10.3390/smartcities8010004","title":"Probabilistic Causal Modeling of Barriers to Accessibility for Persons with Disabilities in Canada","year":2024,"lang":"en","type":"article","venue":"Smart Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Probabilistic logic; Psychology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003212878,0.0004172128,0.0004389428,0.002342306,0.001719652,0.002030435,0.001533859,0.0005258456,0.002703015],"category_scores_gemma":[0.01298382,0.0003987356,0.000897876,0.002652238,0.001470437,0.000969722,0.001305308,0.0008454714,0.0001087304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02340318,"about_ca_system_score_gemma":0.03005054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9742653,"about_ca_topic_score_gemma":0.955186,"domain_scores_codex":[0.9987948,0.0004117222,0.00006113864,0.0002065455,0.0002794398,0.0002463587],"domain_scores_gemma":[0.9942264,0.003295139,0.0005621754,0.0001897935,0.001550018,0.000176552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001307171,0.0001130454,0.161072,0.0001572442,0.0001723258,0.0005150983,0.003399186,0.5975973,0.0004453229,0.1990176,0.003101416,0.03427887],"study_design_scores_gemma":[0.0000241232,0.00002141294,0.03496504,0.0000589005,0.00009122722,0.0000776091,0.002203734,0.9234627,0.000206253,0.03445134,0.00439385,0.00004366019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7811714,0.0007275538,0.1875401,0.004533978,0.00004246134,0.0004725694,0.005236284,0.0003076493,0.01996806],"genre_scores_gemma":[0.9756949,0.0005019825,0.01983767,0.00005236861,0.00000864568,0.0001249416,0.0008283947,0.00001711522,0.002934103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02573472,"threshold_uncertainty_score":0.1698027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244723608930625,"score_gpt":0.2913082541148949,"score_spread":0.2588610180255886,"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."}}