{"id":"W4387779266","doi":"10.3389/frhs.2023.1198195","title":"A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic","year":2023,"lang":"en","type":"article","venue":"Frontiers in Health Services","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Associated Medical Services; University of Toronto; Vector Institute; Centre for Addiction and Mental Health","funders":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research","keywords":"General partnership; Mental health; Health care; Digital health; Psychology; Health informatics; Informatics; Knowledge management; Medical education; Nursing; Medicine; Engineering; Computer science; Business; Political science; Public health","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.008396019,0.0002771361,0.0006008365,0.0004462204,0.001369635,0.00005439722,0.0009509769,0.0001052514,0.000002115065],"category_scores_gemma":[0.0001502429,0.0001653989,0.00003485903,0.002447868,0.00006245016,0.0002027524,0.0004259704,0.00105133,0.0000233208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007323236,"about_ca_system_score_gemma":0.001168103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067886,"about_ca_topic_score_gemma":0.01164657,"domain_scores_codex":[0.9917433,0.002833661,0.002741044,0.0006263659,0.0007391997,0.001316466],"domain_scores_gemma":[0.9972376,0.001013464,0.0008836376,0.0005114925,0.00006138118,0.0002924007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001397564,0.0001761326,0.2039863,0.0111613,0.000003398817,0.000001160358,0.7525479,0.0003611435,9.329519e-7,0.0003209902,0.0002547162,0.03104634],"study_design_scores_gemma":[0.000189006,0.0003226874,0.04917978,0.006682636,0.000001306793,7.065248e-7,0.9296821,0.009764514,0.000001661457,0.000128919,0.00389818,0.0001484493],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986901,0.0007894881,0.001643167,0.001938754,0.001208929,0.006837805,0.00005793478,0.00004525012,0.0005776089],"genre_scores_gemma":[0.9828609,0.0001205085,0.004387519,0.01081839,0.00006756819,0.001574251,0.0001259966,0.00002181769,0.00002302906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1771343,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.276777497736622,"score_gpt":0.4383816305581929,"score_spread":0.1616041328215709,"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."}}