{"id":"W3203558465","doi":"10.2196/28962","title":"Machine Learning Applications in Mental Health and Substance Use Research Among the LGBTQ2S+ Population: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Women's College Hospital; Public Health Ontario; University of Toronto; Canadian Institutes of Health Research; University of Waterloo; Sunnybrook Health Science Centre; Government of Canada; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"PsycINFO; CINAHL; Transgender; Mental health; Population; MEDLINE; Lesbian; Medicine; Psychiatry; Psychology; Clinical psychology; Psychological intervention; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002005587,0.0001002259,0.0002554081,0.00009971551,0.0005055989,0.00007269238,0.00019865,0.0001120295,0.0003754053],"category_scores_gemma":[0.0003522768,0.00007651183,0.00003252919,0.0007018359,0.0002000409,0.0002567183,0.0001021174,0.001008129,0.00006255881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009900238,"about_ca_system_score_gemma":0.0003148296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002389784,"about_ca_topic_score_gemma":0.005616454,"domain_scores_codex":[0.9974345,0.0005625557,0.0008072082,0.0001270373,0.000650534,0.0004181687],"domain_scores_gemma":[0.9986156,0.0004557464,0.0001807886,0.0003380585,0.00008148933,0.0003283277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001228669,0.0001775893,0.8736758,0.02208938,0.00002176792,0.00001046869,0.03040785,0.000001602759,1.168419e-7,0.0177425,0.02032826,0.03553234],"study_design_scores_gemma":[0.003052016,0.0002747035,0.8316688,0.03910826,0.00003338658,0.0002965487,0.01535386,0.003156732,7.794922e-7,0.001660444,0.1046581,0.0007364345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.719254,0.1868421,0.0004617618,0.06488394,0.0006456063,0.007193957,0.00004875624,0.0001852829,0.02048454],"genre_scores_gemma":[0.3572434,0.5793485,0.001571592,0.04460694,0.001264443,0.002546867,0.002086336,0.0001179916,0.01121398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3925064,"threshold_uncertainty_score":0.4379876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206865113614081,"score_gpt":0.5048943799068927,"score_spread":0.3842078685454845,"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."}}