{"id":"W4404153563","doi":"10.2196/63809","title":"An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Mental Health via Writing","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Preprint; Artificial intelligence; Computer science; Classifier (UML); Computer security; World Wide Web","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":[0.005047079,0.0001926388,0.0003173183,0.0002833905,0.0003224973,0.0002254654,0.0001002369,0.0001284043,0.00005674309],"category_scores_gemma":[0.0001105957,0.000190523,0.0000190469,0.0004824878,0.00004160222,0.0003567272,0.00003689979,0.0002555072,0.00001313515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731294,"about_ca_system_score_gemma":0.0004234349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007329725,"about_ca_topic_score_gemma":0.001543033,"domain_scores_codex":[0.996761,0.0006267922,0.0009287373,0.0007500894,0.0002231638,0.0007102416],"domain_scores_gemma":[0.9988024,0.000267148,0.0001265062,0.0002506251,0.00008685649,0.0004664744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003326948,0.00111336,0.4028332,0.001246702,0.00003083282,0.000009445414,0.09041458,0.000005696411,0.000007413837,0.003206797,0.0008046996,0.4999946],"study_design_scores_gemma":[0.001473672,0.004384378,0.5563391,0.0001941291,0.00000388815,0.00002781994,0.403289,0.01203694,0.00003951571,0.0009685438,0.02044251,0.0008004722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862458,0.0007181141,0.006512563,0.003187299,0.0005685419,0.002285968,0.0001002234,0.0001454265,0.0002360325],"genre_scores_gemma":[0.9976502,0.00002843046,0.0004307521,0.0005594825,0.0002026754,0.0007441336,0.0002394047,0.000026973,0.0001179182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4991941,"threshold_uncertainty_score":0.7769303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658048260287245,"score_gpt":0.4226735319397625,"score_spread":0.2568687059110381,"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."}}