{"id":"W4280526628","doi":"10.2196/31800","title":"Exploring the Risk of Suicide in Real Time on Spanish Twitter: Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Mental Health via Writing","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Sadness; Suicidal ideation; Psychology; Suicide prevention; Feeling; Poison control; Social media; Mental health; Population; Context (archaeology); Injury prevention; Human factors and ergonomics; Clinical psychology; Psychiatry; Medicine; Social psychology; Medical emergency; Anger; Environmental health; Computer science","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":[0.0009607684,0.0003200004,0.000551575,0.0009785878,0.0007196945,0.0007215267,0.0003275543,0.0006819285,0.001787893],"category_scores_gemma":[0.00349973,0.0002992498,0.0004911057,0.0009283419,0.0002962818,0.0008105881,0.001042368,0.0006572743,0.0008227791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006065851,"about_ca_system_score_gemma":0.0005280635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008988656,"about_ca_topic_score_gemma":0.009758035,"domain_scores_codex":[0.999549,0.0001662549,0.00006596566,0.00008326158,0.00006139991,0.00007412164],"domain_scores_gemma":[0.9981607,0.0004575345,0.000561442,0.0001844307,0.0003981341,0.0002378724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003931775,0.0004622859,0.9851146,0.0002156879,0.00007968378,0.0005093367,0.004622805,0.00009553248,0.0004996514,0.00005176431,0.001541102,0.006414405],"study_design_scores_gemma":[0.00006580124,0.0005629889,0.9791949,0.0001296057,0.00007600136,0.0006190722,0.01457515,0.0009627922,0.0002509571,0.0001362339,0.003380828,0.00004569147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975903,0.0001294692,0.0001701468,0.0001020383,0.00001283131,0.0001001758,0.001261323,0.000005512713,0.0006282554],"genre_scores_gemma":[0.9952931,0.0004801619,0.0004869042,0.0001503548,0.00004569447,0.0003117529,0.002377467,0.000009115322,0.0008454097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008988656,"threshold_uncertainty_score":0.01787263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2941529582342065,"score_gpt":0.412304381366186,"score_spread":0.1181514231319795,"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."}}