{"id":"W4407753677","doi":"10.3233/shti250005","title":"Co-Designing an Electronic Health Record Derived Digital Dashboard to Support Fair-AI Applications in Mental Health","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Dashboard; Harm; Mental health; Health records; Computer science; Knowledge management; Data science; Psychology; Medical education; Medicine; Psychiatry; Social psychology; Political science; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04778616,0.0009554747,0.0007803094,0.002267116,0.001993665,0.006253838,0.00240756,0.001632154,0.009462551],"category_scores_gemma":[0.08958261,0.0004920362,0.0007363225,0.001397525,0.001122115,0.00493469,0.004820424,0.002094755,0.003201369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137599,"about_ca_system_score_gemma":0.004744214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002654415,"about_ca_topic_score_gemma":0.00428157,"domain_scores_codex":[0.9832131,0.01116182,0.001355383,0.00156878,0.002097262,0.0006036728],"domain_scores_gemma":[0.9177068,0.04610661,0.003408616,0.0150256,0.01069212,0.007060284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001970479,0.005425229,0.03825378,0.001577822,0.0003115243,0.0008415016,0.02317008,0.004146848,0.02049288,0.00579669,0.0654012,0.8326119],"study_design_scores_gemma":[0.001715373,0.006580183,0.06814371,0.002741135,0.0006053407,0.001276955,0.03677998,0.07568019,0.05353052,0.03584556,0.7160762,0.001024822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2597636,0.0005231246,0.6140028,0.01350475,0.001841866,0.01740928,0.004517664,0.05314597,0.03529091],"genre_scores_gemma":[0.2646544,0.0003184234,0.710028,0.001742295,0.0002304961,0.005764979,0.003470834,0.001581694,0.01220884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04778616,"threshold_uncertainty_score":0.2527204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626726526051616,"score_gpt":0.490430749539217,"score_spread":0.4277580969340554,"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."}}