{"id":"W3200006504","doi":"10.3389/fpsyt.2021.738466","title":"Use of Machine Learning and Artificial Intelligence Methods in Geriatric Mental Health Research Involving Electronic Health Record or Administrative Claims Data: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"Frontiers in Psychiatry","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Calgary","funders":"Canadian Institutes of Health Research; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"PsycINFO; Checklist; Mental health; MEDLINE; Artificial intelligence; Machine learning; Dementia; Medicine; Electronic health record; Computer science; Data science; Health care; Psychology; Psychiatry; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02421372,0.0006920004,0.005880963,0.001747152,0.0003570521,0.0002419629,0.002523803,0.0003409011,0.00001351489],"category_scores_gemma":[0.003413168,0.000588962,0.0002445726,0.006142446,0.000146267,0.0005472522,0.001502334,0.005080062,0.000002421391],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634154,"about_ca_system_score_gemma":0.01261507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141369,"about_ca_topic_score_gemma":0.003249165,"domain_scores_codex":[0.9627436,0.02817824,0.004612173,0.002079029,0.0009075598,0.001479412],"domain_scores_gemma":[0.9927215,0.001926793,0.002715817,0.002140729,0.0001530948,0.0003420639],"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":[0.00001001745,0.00009252653,0.0002305043,0.5192573,0.00006486336,0.000007487359,0.000417936,0.000001555015,4.07189e-9,0.001844725,0.002289472,0.4757836],"study_design_scores_gemma":[0.0001120952,0.001155391,0.00000561463,0.8631245,0.0001066415,0.0001859047,0.0008453116,0.0202177,3.848048e-8,0.001403111,0.1121387,0.0007049625],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.828423e-7,0.9108799,0.07859465,0.002514684,0.003168999,0.00472469,0.00005695534,0.00005410837,0.000005546366],"genre_scores_gemma":[7.704863e-7,0.6472854,0.3519993,0.0001953012,0.00006971147,0.0001781522,0.0001756955,0.00004980485,0.00004591812],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4750787,"threshold_uncertainty_score":0.9996562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3340818510144105,"score_gpt":0.5426540068287368,"score_spread":0.2085721558143263,"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."}}