{"id":"W4220749473","doi":"10.2196/30946","title":"Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Focus group; Risk assessment; Suicide prevention; Medicine; Poison control; Medical education; Psychology; Medical emergency; Nursing; Computer science; Computer security","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":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01434211,0.0001984713,0.0003658987,0.0004599181,0.001749422,0.00008370639,0.0003117482,0.00005848005,0.0002272924],"category_scores_gemma":[0.0006607061,0.000166907,0.0001052192,0.000779135,0.0001293651,0.0008565084,0.0006674954,0.002344868,0.00002241174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711814,"about_ca_system_score_gemma":0.00008311222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978406,"about_ca_topic_score_gemma":0.001075045,"domain_scores_codex":[0.9930378,0.003392558,0.0008528125,0.0005642568,0.001054713,0.001097828],"domain_scores_gemma":[0.9957209,0.00315144,0.0003831538,0.0002966732,0.0003556396,0.00009216425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.005346182,0.004776746,0.7699485,0.00004014451,0.0008761777,0.00008386139,0.1846144,0.0005506069,0.000002361896,0.001497655,0.004753152,0.02751016],"study_design_scores_gemma":[0.01100704,0.03768805,0.2281145,0.0000115929,0.00007943453,0.00001878023,0.6890063,0.02145227,0.000003125417,0.002073396,0.0101896,0.0003559241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841797,0.0004311832,0.002732552,0.0006952069,0.0002230405,0.005810641,0.0001400112,0.0001000034,0.00568769],"genre_scores_gemma":[0.9911553,0.00003152805,0.0003426053,0.00003087787,0.0001045951,0.007915794,0.00006841445,0.00004359316,0.0003072737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5418341,"threshold_uncertainty_score":0.9999568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147850617941986,"score_gpt":0.4847159952237381,"score_spread":0.3699309334295395,"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."}}