{"id":"W6959536444","doi":"10.11575/prism/47757","title":"Probabilistic Causal Data Modeling of Barriers to Accessibility for Persons with Disabilities in Canada","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Ion Channels and Receptors","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian network; Probabilistic logic; Causality (physics); Causal model; Causal reasoning; Statistical model; Causal inference; Interdependence; Data modeling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003255414,0.0004136145,0.0006218757,0.001873254,0.001510787,0.002623203,0.001933995,0.0008760552,0.00465208],"category_scores_gemma":[0.01860078,0.0004602895,0.001031028,0.002695995,0.001575825,0.001494758,0.001398062,0.001357952,0.0002379536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02311334,"about_ca_system_score_gemma":0.02200595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565083,"about_ca_topic_score_gemma":0.9233502,"domain_scores_codex":[0.9988242,0.0003090127,0.00006940697,0.0002912067,0.0002608558,0.0002452697],"domain_scores_gemma":[0.9919266,0.005138631,0.0005259098,0.0002632215,0.001940944,0.0002046629],"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":[0.0001536958,0.00008818819,0.0616947,0.0001711916,0.0001198422,0.0004981919,0.0017592,0.698118,0.000344416,0.2031572,0.005054345,0.028841],"study_design_scores_gemma":[0.0000237185,0.00001180128,0.008386327,0.00004078169,0.00004605078,0.00005411715,0.0006814571,0.9528114,0.0001287395,0.03343249,0.004352954,0.00003005265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6594854,0.001513055,0.2806115,0.009541761,0.0001167048,0.0005071983,0.01449552,0.0006075416,0.03312135],"genre_scores_gemma":[0.9625483,0.0008412248,0.02640348,0.0001453571,0.00001901297,0.0001573447,0.002109095,0.00004064917,0.007735549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04349166,"threshold_uncertainty_score":0.1676998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142580519666538,"score_gpt":0.3554329145256156,"score_spread":0.2128523948590776,"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."}}