{"id":"W4402306005","doi":"10.1016/j.acap.2024.08.164","title":"Geographic Patterns of Youth Suicide in San Diego County","year":2024,"lang":"en","type":"article","venue":"Academic Pediatrics","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Suicide prevention; Cluster (spacecraft); Poison control; Injury prevention; Human factors and ergonomics; Demography; Suicide methods; Occupational safety and health; Gerontology; Geography; Medical emergency; Medicine; Suicide rates; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004194875,0.0001884096,0.0002128098,0.002269126,0.0009345235,0.001030652,0.0006004603,0.0003497079,0.002424302],"category_scores_gemma":[0.001652641,0.0002765479,0.0003157327,0.002628956,0.0004287335,0.0004783207,0.001176284,0.0004426673,0.0002747191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130566,"about_ca_system_score_gemma":0.00140117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1911027,"about_ca_topic_score_gemma":0.3664646,"domain_scores_codex":[0.9995205,0.0001455823,0.00006594152,0.0000826094,0.00006338632,0.0001219713],"domain_scores_gemma":[0.9979928,0.000231338,0.0007630624,0.00008858654,0.0004983947,0.0004258424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002187522,0.00001810849,0.9981412,0.00000847426,0.00001911311,0.00004421711,0.0005714242,0.00002646213,0.00004941981,0.00003980233,0.0002792758,0.0007807033],"study_design_scores_gemma":[0.000002529516,0.00001938174,0.99379,0.00001492338,0.00001154171,0.0000809569,0.005709117,0.00004774221,0.00002601002,0.00001327045,0.0002822387,0.00000238368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998098,0.0001955993,0.00002160274,0.0001160511,0.000005079612,0.000004594105,0.0006485084,0.000007004873,0.0009035812],"genre_scores_gemma":[0.998767,0.0002049544,0.00003702048,0.00002508208,0.000006169638,0.000008754652,0.0005625022,0.000003132733,0.0003853877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1911027,"threshold_uncertainty_score":0.3799808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03857388668683391,"score_gpt":0.3243023591458231,"score_spread":0.2857284724589891,"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."}}