{"id":"W4401758680","doi":"10.2196/58357","title":"Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study","year":2024,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Massachusetts General Hospital","keywords":"Medicine; Emergency department; Depression (economics); Bipolar disorder; Suicide attempt; Psychiatry; Receiver operating characteristic; Prospective cohort study; Suicidal ideation; Poison control; Suicide prevention; Emergency medicine; Mood; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003416903,0.0002590854,0.0003146853,0.0008265311,0.0001749712,0.00004632795,0.0001538105,0.0002947798,0.00006724214],"category_scores_gemma":[0.0000302282,0.0001871931,0.00004962122,0.001175021,0.0001142861,0.0001712012,0.000111746,0.0005963909,0.00007413313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004930516,"about_ca_system_score_gemma":0.00003051544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002694931,"about_ca_topic_score_gemma":0.00113743,"domain_scores_codex":[0.9983541,0.00003932337,0.0006555759,0.0003741409,0.0001517991,0.000425096],"domain_scores_gemma":[0.9994016,0.00005188214,0.0001617032,0.0003061067,0.00003668379,0.00004198661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002257976,0.0003759262,0.9539526,0.0002112345,0.0005485925,0.00005080276,0.02407328,0.000003351607,0.0001443978,0.002659914,0.001012822,0.01674126],"study_design_scores_gemma":[0.002498608,0.004987345,0.9088398,0.00008977878,0.000275894,0.0001898399,0.07686915,0.002148068,0.000531038,0.00181995,0.001077855,0.0006727413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914958,0.003537378,0.0007182523,0.00057656,0.0005726862,0.001332157,0.00003942302,0.0004575956,0.001270078],"genre_scores_gemma":[0.9977764,0.0009365113,0.0007217612,0.00003963074,0.00007270002,0.000257033,0.000006899325,0.00002302133,0.0001660654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05279587,"threshold_uncertainty_score":0.7633512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008637572815381795,"score_gpt":0.2829884366564009,"score_spread":0.2743508638410191,"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."}}