{"id":"W4394617453","doi":"10.1007/s10654-024-01124-6","title":"A population-based cohort of drug exposures and adverse pregnancy outcomes in China (DEEP): rationale, design, and baseline characteristics","year":2024,"lang":"en","type":"article","venue":"European Journal of Epidemiology","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Impact","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; China Medical Board","keywords":"Medicine; Cohort; Population; Pregnancy; Cohort study; Medical prescription; Pediatrics; Incidence (geometry); Environmental health; Obstetrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001869806,0.0009700157,0.0007569451,0.001181715,0.001823294,0.0006860397,0.001236708,0.0006377456,0.002014473],"category_scores_gemma":[0.002367388,0.0009757427,0.001140207,0.001637682,0.0006231486,0.0007454967,0.001477697,0.000897998,0.0004535718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151992,"about_ca_system_score_gemma":0.002746798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02780757,"about_ca_topic_score_gemma":0.04032355,"domain_scores_codex":[0.9987687,0.0003039669,0.0001348536,0.0003962748,0.0001806354,0.0002155033],"domain_scores_gemma":[0.9989819,0.00007877779,0.0001327924,0.0003057239,0.0002368163,0.0002639129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001436575,0.0007070951,0.9903487,0.00009547278,0.00047375,0.0002211766,0.0004273284,0.0001805979,0.001114051,0.0003144465,0.00102149,0.003659223],"study_design_scores_gemma":[0.0008352091,0.00235699,0.9874577,0.00005066908,0.001178045,0.0005966887,0.0008575584,0.001115085,0.0004748854,0.0006002856,0.004429774,0.00004714583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909419,0.0003364782,0.002322268,0.0001410732,0.00003447761,0.001582047,0.003511574,0.00002407538,0.001106103],"genre_scores_gemma":[0.9901501,0.0001362268,0.002824505,0.000406861,0.00004986417,0.002460347,0.002773892,0.00001006009,0.001188271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02780757,"threshold_uncertainty_score":0.05529141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430679944734656,"score_gpt":0.3185177303235089,"score_spread":0.2842109308761624,"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."}}