{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005321099,0.0001195224,0.0002307644,0.00006277893,0.0001961849,0.00007170936,0.000215892,0.00004041116,0.000170962],"category_scores_gemma":[0.0004423369,0.00009889076,0.00005289042,0.0003157342,0.0003276124,0.000292475,0.00001662879,0.00009551748,3.582327e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204557,"about_ca_system_score_gemma":0.005704286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9268166,"about_ca_topic_score_gemma":0.9972608,"domain_scores_codex":[0.9986585,0.00005535284,0.0002854999,0.0003322714,0.0003161212,0.0003521915],"domain_scores_gemma":[0.9992048,0.000329321,0.00002175434,0.0001710682,0.00009133815,0.000181752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001006214,0.00001622866,0.9387289,0.000695836,0.00002170286,0.000002767169,0.05193931,0.002457588,0.000005290191,0.005497552,0.00029575,0.0002384598],"study_design_scores_gemma":[0.0006703868,0.000248568,0.09221083,0.0009471507,0.0001418609,4.273169e-7,0.8190075,0.03787984,0.0001901845,0.04360453,0.004018395,0.001080281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948905,0.0001517941,0.0004290533,0.0008008227,0.0002957492,0.0006348955,0.0002378065,0.00004435939,0.002515048],"genre_scores_gemma":[0.9990516,0.000001702544,0.0001723545,0.00004921997,0.00007294665,0.000138887,0.000008522175,0.00001175064,0.0004929901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.846518,"threshold_uncertainty_score":0.9999325,"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."}}