{"id":"W3213611038","doi":"10.2196/24471","title":"Suicide Risk and Protective Factors in Online Support Forum Posts: Annotation Scheme Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mental Health via Writing","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institutes of Health; University of Minnesota; Northwestern University; Centers for Disease Control and Prevention; Georgia Institute of Technology","keywords":"Social media; Suicidal ideation; Construct (python library); Computer science; Public health; Psychology; Data science; Suicide prevention; Poison control; Applied psychology; Medicine; World Wide Web; Environmental health; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05191129,0.0008016152,0.0005339335,0.004156242,0.003280299,0.001647836,0.001354571,0.001279694,0.003208165],"category_scores_gemma":[0.1341605,0.000450348,0.001107522,0.002050678,0.002373784,0.001819312,0.004675714,0.00169,0.001355176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425762,"about_ca_system_score_gemma":0.004746912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0080397,"about_ca_topic_score_gemma":0.01566974,"domain_scores_codex":[0.9759872,0.01502136,0.002536693,0.002402025,0.00328472,0.0007679943],"domain_scores_gemma":[0.8145646,0.09172644,0.008403363,0.02051036,0.06243851,0.002356745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002650199,0.003272145,0.4360616,0.003333409,0.0002291013,0.001243209,0.1777994,0.002783527,0.02950162,0.005950052,0.02208604,0.3150896],"study_design_scores_gemma":[0.001080655,0.002630142,0.692335,0.002509462,0.0007177566,0.001223399,0.07636863,0.04260106,0.04654823,0.007474265,0.1260059,0.0005055074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153365,0.0001661188,0.05625023,0.0006320373,0.0002903462,0.01439014,0.004788193,0.0006963701,0.007450025],"genre_scores_gemma":[0.7855591,0.0001709628,0.1541188,0.0004745273,0.0001251405,0.03989163,0.01459502,0.0003202326,0.00474454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05191129,"threshold_uncertainty_score":0.2745364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058578417814995,"score_gpt":0.4223064554211199,"score_spread":0.37172067124297,"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."}}