{"id":"W6958663209","doi":"10.6084/m9.figshare.20279158.v1","title":"Additional file 3 of Predicting accidental drug overdose as the cause of fatality in near real-time using the Suspected Potential Overdose Tracker (SPOT): public health implications","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Accidental; Public health; Drug overdose; Case fatality rate; Public health surveillance; Opioid overdose; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001277221,0.0008300854,0.0009339062,0.001929941,0.0008210827,0.001441144,0.001374715,0.001331032,0.8476882],"category_scores_gemma":[0.03155447,0.0003954502,0.001051933,0.002450178,0.0002036377,0.001966025,0.001103539,0.0008922784,0.1571374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009151254,"about_ca_system_score_gemma":0.001267971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433938,"about_ca_topic_score_gemma":0.02124976,"domain_scores_codex":[0.9992313,0.0001562757,0.0001557447,0.0001688464,0.000187722,0.0001000917],"domain_scores_gemma":[0.9774188,0.01684473,0.001626438,0.0009123577,0.002702354,0.0004952452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000255933,0.00004038292,0.004131362,0.0008522592,0.00002452578,0.00006157185,0.00003050386,0.0003913097,0.00002753598,0.0004210638,0.9877089,0.006054551],"study_design_scores_gemma":[0.007494128,0.0004800823,0.07403659,0.006478308,0.000360986,0.0009479946,0.001011674,0.006303898,0.00110035,0.0166326,0.8849139,0.0002396725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000230301,0.00001282848,0.0001774097,0.0001919164,0.00002356133,0.00006194874,0.9972287,0.0002927051,0.001780676],"genre_scores_gemma":[0.02364519,0.0002035087,0.003280243,0.001307803,0.0002522087,0.001559523,0.9490229,0.001145472,0.01958308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476882,"threshold_uncertainty_score":0.2172542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493914257813262,"score_gpt":0.3032900419926078,"score_spread":0.2683508994144752,"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."}}