{"id":"W4402560876","doi":"10.1177/14604582241285743","title":"AI and disability: A systematic scoping review","year":2024,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Software deployment; Thematic analysis; Usability; Social model of disability; International Classification of Functioning, Disability and Health; Health care; Perspective (graphical); Psychology; Knowledge management; Medical education; Computer science; Medicine; Political science; Sociology; Qualitative research; Artificial intelligence; Social science; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01786886,0.001745597,0.005652721,0.02449561,0.001649825,0.005352582,0.002308319,0.00340941,0.005533147],"category_scores_gemma":[0.09628955,0.001324287,0.005546139,0.02097849,0.001590811,0.004931286,0.003279089,0.001949009,0.0006472925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005795904,"about_ca_system_score_gemma":0.03058349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009058208,"about_ca_topic_score_gemma":0.02636625,"domain_scores_codex":[0.9858673,0.00493526,0.00531754,0.000829046,0.002574721,0.0004760816],"domain_scores_gemma":[0.9244139,0.05744532,0.009231166,0.001221237,0.006898126,0.0007903231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000829852,0.00001993935,0.0007541472,0.9377674,0.002668391,0.0001836171,0.0006766376,0.0001066698,0.0001132242,0.0007415697,0.003167932,0.05371753],"study_design_scores_gemma":[0.00002711648,0.00003872997,0.000869897,0.9766102,0.006833746,0.000202893,0.0004058049,0.00003510951,0.0000504271,0.0003243733,0.01458731,0.00001433218],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009906776,0.9952031,0.0004650464,0.0008419618,0.0002670453,0.0008890684,0.0004647636,0.00001283464,0.0008655355],"genre_scores_gemma":[0.01056537,0.9852743,0.001105841,0.0007433336,0.0001126434,0.001646326,0.0003388962,0.000007367446,0.00020593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02449561,"threshold_uncertainty_score":0.09450072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2151762367788815,"score_gpt":0.5306641687850616,"score_spread":0.3154879320061802,"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."}}