{"id":"W3156985445","doi":"10.1111/1556-4029.14725","title":"Pediatric opioid fatalities: What can we learn for prevention?","year":2021,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Poisoning and overdose treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Medicine; Medical examiner; Accidental; Poison control; Injury prevention; Medical prescription; Fentanyl; Opioid; Suicide prevention; Opioid overdose; Medical emergency; (+)-Naloxone; Anesthesia; Pharmacology; Internal medicine","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":[0.0003225575,0.00007623006,0.0002201685,0.0001237183,0.0001413302,0.0001037762,0.00008620273,0.00003193814,0.00004362049],"category_scores_gemma":[0.0002222433,0.00005137395,0.0001771779,0.0002984008,0.0001038611,0.0003466882,0.0000167792,0.00008068675,0.000002718671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005466521,"about_ca_system_score_gemma":0.0006676005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006043344,"about_ca_topic_score_gemma":0.00001500667,"domain_scores_codex":[0.9990051,0.00001950629,0.0002694148,0.0001209541,0.0003989181,0.0001860964],"domain_scores_gemma":[0.9992442,0.0001049399,0.0002126112,0.00008262486,0.0002431832,0.0001124976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005041077,0.001451698,0.3522146,0.0008227006,0.000787457,0.001039567,0.01332297,0.0002599467,0.001611079,0.003034502,0.03514228,0.5898091],"study_design_scores_gemma":[0.03993363,0.03442879,0.2295664,0.01106838,0.006319461,0.01960573,0.2030681,0.00130793,0.1648551,0.202205,0.08566744,0.001974089],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863302,0.008847974,0.0002009847,0.003041315,0.001140412,0.00008828949,0.000003575085,0.000007474858,0.0003398355],"genre_scores_gemma":[0.973747,0.00460246,0.01490809,0.0003966241,0.0009513212,0.00000337639,0.000004727995,0.000008983308,0.005377387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.587835,"threshold_uncertainty_score":0.2094969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626400838674057,"score_gpt":0.3397987857909201,"score_spread":0.2935347774041795,"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."}}