{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005595789,0.00020086,0.0003156904,0.0005859996,0.0000353198,0.00001059214,0.0003132359,0.0003531935,0.0003015163],"category_scores_gemma":[0.00009142054,0.0001845148,0.00012569,0.0008596517,0.00005645339,0.00009400377,0.0001050126,0.0009641649,0.00009990635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003766712,"about_ca_system_score_gemma":0.00004247708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412078,"about_ca_topic_score_gemma":0.000166438,"domain_scores_codex":[0.9982005,0.00008572675,0.0005559539,0.0004061025,0.0002849447,0.0004667339],"domain_scores_gemma":[0.9990608,0.0004785052,0.00009617428,0.0002539921,0.00003966343,0.00007090805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002199004,0.00002876757,0.9870555,0.00009541374,0.00004812146,0.00005443022,0.005858189,0.000002707634,0.00002196889,0.00102503,0.004617015,0.001170826],"study_design_scores_gemma":[0.0005880346,0.00008337945,0.9887027,0.00003114437,0.0002608526,0.00001178195,0.006338225,0.00002369101,0.00002897931,0.001350782,0.002225742,0.0003547408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580754,0.03733864,0.00007146502,0.0001313975,0.001243761,0.0001626973,0.0002599181,0.0001230475,0.002593667],"genre_scores_gemma":[0.9927937,0.005852397,0.00001056534,0.0003516094,0.0006382858,0.00002588398,0.00003285424,0.00003180583,0.00026291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03471829,"threshold_uncertainty_score":0.7524295,"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."}}