{"id":"W4389504609","doi":"10.1016/j.envres.2023.117826","title":"Self-harm and interpersonal violence due to high temperature from the global burden of disease study 2019: A 30-year assessment","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Burden of disease; Disease burden; Poison control; Interpersonal communication; Interpersonal violence; Demography; Suicide prevention; Medicine; Injury prevention; Global warming; Environmental health; Gerontology; Psychology; Climate change; Population; Social psychology; Ecology","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":[0.004283603,0.000969896,0.0007786797,0.002069382,0.000526663,0.0009869452,0.001048668,0.00137521,0.0009666332],"category_scores_gemma":[0.005134515,0.0006296599,0.005736912,0.003425622,0.0004566869,0.001619983,0.002399536,0.001732223,0.000258892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171911,"about_ca_system_score_gemma":0.001773505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06345208,"about_ca_topic_score_gemma":0.08576946,"domain_scores_codex":[0.9974123,0.0009686542,0.0003300596,0.0002546949,0.0006874003,0.0003469163],"domain_scores_gemma":[0.9960598,0.0005759873,0.00171659,0.0003258307,0.0008140289,0.0005075783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007825356,0.0001581179,0.983366,0.0003918053,0.00229377,0.0001408351,0.0003596627,0.0012087,0.00009528408,0.0001679062,0.002500373,0.008535193],"study_design_scores_gemma":[0.00001880859,0.0001635008,0.9967762,0.0001081367,0.0005236123,0.0001014257,0.0003435691,0.0009920234,0.00003914958,0.00008839642,0.0008210355,0.00002426063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677642,0.007301117,0.0009024179,0.0008522331,0.0001284392,0.0001538728,0.02156829,0.00002763504,0.001301842],"genre_scores_gemma":[0.9782637,0.004772254,0.0005077795,0.000229457,0.0001004088,0.0001793481,0.01544861,0.00001008739,0.0004883892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06345208,"threshold_uncertainty_score":0.1261654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04352739848921354,"score_gpt":0.385176562454325,"score_spread":0.3416491639651114,"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."}}