{"id":"W2620230902","doi":"10.1021/acs.est.7b00615","title":"Airborne Precursors Predict Maternal Serum Perfluoroalkyl Acid Concentrations","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Environment and Climate Change Canada; Simon Fraser University; University of Alberta","funders":"National Institute of Environmental Health Sciences; Health Canada; University of British Columbia; British Columbia Environmental and Occupational Health Research Network; U.S. Environmental Protection Agency","keywords":"Perfluorooctanoic acid; Environmental chemistry; Chemistry; Contamination; Population; Air monitoring; Environmental science; Environmental engineering; Environmental health; Biology; Medicine; Ecology","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":[0.0005285688,0.0004646498,0.0002710261,0.000533376,0.0002743417,0.0008402417,0.0003574818,0.0005572673,0.002018086],"category_scores_gemma":[0.004851463,0.0003887122,0.0003425551,0.000630217,0.0001933577,0.0002010885,0.0002578621,0.0006620649,0.0004497274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008385757,"about_ca_system_score_gemma":0.0009194267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1308873,"about_ca_topic_score_gemma":0.08947548,"domain_scores_codex":[0.9996812,0.00007961074,0.00002318217,0.00008014368,0.00007094224,0.00006486278],"domain_scores_gemma":[0.9983624,0.0005941801,0.0004462179,0.00009867591,0.0002762374,0.0002224095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006650234,0.000009805251,0.9979817,0.000006521822,0.00001994853,0.00004903603,0.00003919289,0.00004120806,0.0002302644,0.0000117251,0.0001099756,0.001434189],"study_design_scores_gemma":[0.000004234854,0.00005252807,0.9980119,0.00002944636,0.00005122193,0.0002575624,0.000145837,0.0006886882,0.0002963756,0.00004437778,0.0004138482,0.000003870708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953007,0.001444264,0.000346308,0.000206945,0.00001893606,0.00001086607,0.0008571378,0.00002539218,0.001789511],"genre_scores_gemma":[0.9973956,0.0008395312,0.0004008068,0.00004177086,0.000008072776,0.000009210383,0.0005459348,0.000006308399,0.000752688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308873,"threshold_uncertainty_score":0.2602509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008858231241973128,"score_gpt":0.2530130288927698,"score_spread":0.2441547976507967,"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."}}