{"id":"W3044746939","doi":"10.1038/s41370-020-0252-0","title":"A feasibility study of metabolic phenotyping of dried blood spot specimens in rural Chinese women exposed to household air pollution","year":2020,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Medical Research Council","keywords":"Dried blood spot; Dried blood; Pollution; Stove; Environmental science; Exposure assessment; Reproducibility; Air pollution; Medicine; Chromatography; Environmental chemistry; Physiology; Chemistry; Environmental health; Biology; Waste management","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":[0.0007034001,0.0004747217,0.0002175905,0.0007449492,0.0008879547,0.0003982383,0.0003639773,0.0004022352,0.001069366],"category_scores_gemma":[0.001907159,0.0003945779,0.0002416741,0.0005716716,0.0004898023,0.0003842369,0.0004373675,0.0002914951,0.0002431009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301112,"about_ca_system_score_gemma":0.0008062776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01502225,"about_ca_topic_score_gemma":0.01032316,"domain_scores_codex":[0.9995602,0.0001741565,0.00002642089,0.0001065006,0.00006361168,0.00006908197],"domain_scores_gemma":[0.9994363,0.0001667339,0.00008963673,0.0000541184,0.0001174391,0.0001357056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000595617,0.0004118762,0.9879395,0.00001632948,0.00001827678,0.0008014066,0.001093304,0.00003664597,0.006968401,0.00004038976,0.00003515605,0.002043109],"study_design_scores_gemma":[0.00004652696,0.002081744,0.9933149,0.00000265011,0.00003871867,0.0008479939,0.002221035,0.0003580053,0.0008355507,0.00004834146,0.0001966405,0.000007861458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999513,0.00001422684,0.0001547226,0.00001447731,0.000001728529,0.00004087364,0.00003804505,0.000001235446,0.0002216753],"genre_scores_gemma":[0.9994061,0.00002354423,0.000241489,0.00002812058,0.000006671992,0.00003364072,0.00005927482,0.000001213088,0.0002000872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01502225,"threshold_uncertainty_score":0.02986962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342770712506827,"score_gpt":0.4054807593360517,"score_spread":0.271203688085369,"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."}}