{"id":"W4353021624","doi":"10.1093/schbul/sbac176","title":"Language Analytics for Assessment of Mental Health Status and Functional Competency","year":2023,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Mental Health via Writing","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Queen's University","funders":"National Institute of Mental Health; National Institutes of Health; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Boehringer Ingelheim Stiftung","keywords":"Mental health; Psychology; Neurocognitive; Schizophrenia (object-oriented programming); Clinical psychology; Test (biology); Applied psychology; Natural language processing; Psychiatry; Cognition; Computer science","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":[0.003742873,0.001431883,0.0004212073,0.003093609,0.0004076153,0.001577536,0.0005932075,0.0004312474,0.002371296],"category_scores_gemma":[0.01975823,0.0002404257,0.0009188859,0.001302148,0.0005254376,0.001073864,0.0009303547,0.001052406,0.00077242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087252,"about_ca_system_score_gemma":0.001305304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008131741,"about_ca_topic_score_gemma":0.006037246,"domain_scores_codex":[0.9981588,0.001168652,0.00009788309,0.0002486316,0.0002532022,0.00007288351],"domain_scores_gemma":[0.9847743,0.01234168,0.001212923,0.0004867381,0.0009701277,0.000214254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001367354,0.0007390743,0.4537139,0.0004417526,0.0005046296,0.0004584498,0.002404207,0.1509868,0.004907293,0.005692958,0.005779858,0.3730039],"study_design_scores_gemma":[0.00003036485,0.0003201447,0.08330527,0.0001689813,0.0001131321,0.0002419666,0.0008334761,0.8954772,0.002117869,0.0159978,0.001334352,0.00005950174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7367343,0.000999326,0.2433397,0.002411511,0.00006758441,0.0006378028,0.005979638,0.003693168,0.006136949],"genre_scores_gemma":[0.9674781,0.0001503825,0.02992696,0.0000806393,0.00002572638,0.0002210294,0.00167965,0.00003764427,0.000399811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008131741,"threshold_uncertainty_score":0.01979446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134284658236271,"score_gpt":0.376438566741874,"score_spread":0.3350957201595113,"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."}}