{"id":"W3117899903","doi":"10.1542/peds.2020-018507","title":"Identification of Prenatal Opioid Exposure Within Health Administrative Databases","year":2020,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Medical prescription; Opioid; Medical record; Confidence interval; Population; Pregnancy; Prenatal care; Pediatrics; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01063486,0.0003428202,0.000660659,0.006671032,0.0008195227,0.00156359,0.001527766,0.0004278694,0.000603313],"category_scores_gemma":[0.05880778,0.000398682,0.0005017541,0.0156405,0.0003418133,0.0006999919,0.001979182,0.0003675277,0.0001249209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002807744,"about_ca_system_score_gemma":0.007074629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2833339,"about_ca_topic_score_gemma":0.3081729,"domain_scores_codex":[0.9778392,0.007567199,0.004628516,0.002437409,0.006409096,0.001118447],"domain_scores_gemma":[0.9319434,0.02498303,0.02594222,0.004897285,0.01112723,0.001106836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003219565,0.00001519101,0.9908075,0.0001990593,0.0002685786,0.00007142502,0.0005355194,0.0003323803,0.0001189321,0.0002563406,0.001037978,0.006324962],"study_design_scores_gemma":[0.00001339608,0.00002004651,0.9916406,0.0003615424,0.0001578965,0.0001599682,0.0008246205,0.001927012,0.0003487159,0.0003096243,0.004217459,0.00001907233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149961,0.002887921,0.009051423,0.0007671439,0.00003307325,0.000560332,0.0666957,0.00007501041,0.004933428],"genre_scores_gemma":[0.957687,0.001372796,0.009085678,0.0002028444,0.00003615577,0.0005106847,0.03085789,0.00001097706,0.0002359715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2833339,"threshold_uncertainty_score":0.5633695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384788169312211,"score_gpt":0.3205150783771557,"score_spread":0.2766671966840336,"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."}}