{"id":"W4400398053","doi":"10.2196/49781","title":"Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mental Health via Writing","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Identification (biology); Depression (economics); Medical record; Medicine; Health records; Data science; Medical emergency; Computer science; Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.04103404,0.001986839,0.007329381,0.03527503,0.00146722,0.004556992,0.003827014,0.003956796,0.005200778],"category_scores_gemma":[0.2082866,0.001779715,0.007349899,0.02848786,0.001909755,0.006236136,0.003291119,0.001628568,0.0008687616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005884736,"about_ca_system_score_gemma":0.02276642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007815497,"about_ca_topic_score_gemma":0.0135214,"domain_scores_codex":[0.9377486,0.0200536,0.0303022,0.002872352,0.008394114,0.0006291486],"domain_scores_gemma":[0.7782698,0.1602425,0.03503886,0.004724574,0.02108387,0.0006403798],"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":[0.0001483293,0.00003742135,0.001850362,0.8677962,0.003010517,0.0002690565,0.0007852043,0.0002265233,0.0001640569,0.0007392643,0.00444894,0.120524],"study_design_scores_gemma":[0.00004489937,0.00007440422,0.001912321,0.973628,0.008111894,0.0003876979,0.0005292314,0.0001196475,0.0001490235,0.0003996822,0.0146181,0.00002505486],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002052675,0.988577,0.001737546,0.0009782477,0.0004560061,0.003445111,0.001301347,0.00003400265,0.001418099],"genre_scores_gemma":[0.01627016,0.9710159,0.005623727,0.0008079525,0.0002618394,0.004388966,0.001367188,0.00001620182,0.0002481652],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04103404,"threshold_uncertainty_score":0.2170113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910488921166097,"score_gpt":0.4469794201397101,"score_spread":0.4078745309280492,"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."}}