{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003096391,0.0001406711,0.0003166226,0.00006560225,0.00004252108,0.00001005901,0.0001256894,0.00004908547,0.00002225166],"category_scores_gemma":[0.001097549,0.0001312289,0.00006357889,0.0004959073,0.00005427324,0.0001743842,0.0000547124,0.0002174884,0.00003180925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004841933,"about_ca_system_score_gemma":0.0004811971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000140908,"about_ca_topic_score_gemma":0.00001256796,"domain_scores_codex":[0.9984632,0.00007213239,0.0005599073,0.0003116112,0.000407176,0.0001859949],"domain_scores_gemma":[0.9987592,0.0001177046,0.0004274656,0.0002938159,0.0001242502,0.0002776236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003363352,0.002720816,0.7627637,0.02364391,0.0003636091,0.0004989484,0.05200174,0.0001812411,0.0892566,0.006671576,0.03936153,0.01917296],"study_design_scores_gemma":[0.009745395,0.008040546,0.2389367,0.000448135,0.0006528391,0.0001417371,0.003150831,0.003605019,0.7314563,0.0001343082,0.002532814,0.001155347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970973,0.006713854,0.01793586,0.001947516,0.0004350306,0.001085599,0.0006329923,0.000168091,0.0001081097],"genre_scores_gemma":[0.9945593,0.0002188675,0.003979032,0.0004240366,0.0004281827,0.00001849884,0.0003007815,0.00002081591,0.00005042508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6421997,"threshold_uncertainty_score":0.5351357,"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."}}