{"id":"W2428539330","doi":"10.1021/acs.est.6b01698","title":"Isomer–Specific Distribution of Perfluoroalkyl Substances in Blood","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Distribution (mathematics); Chemistry; Environmental chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003078003,0.0002384201,0.0001705518,0.0006335507,0.0001389695,0.0004597258,0.0001581289,0.0003134721,0.00151615],"category_scores_gemma":[0.0006250458,0.0001389716,0.0001739835,0.0006752721,0.0001909444,0.0002283767,0.000126489,0.0002902867,0.0006182636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002228335,"about_ca_system_score_gemma":0.0002618678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800011,"about_ca_topic_score_gemma":0.001002619,"domain_scores_codex":[0.9995645,0.00005558099,0.00002281807,0.0002039562,0.00009636378,0.00005681577],"domain_scores_gemma":[0.9997733,0.00004166379,0.00005245307,0.00001837794,0.00008641669,0.00002777875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001544372,0.00006665319,0.07331647,0.00009604258,0.0001213304,0.0001784115,0.0002005083,0.0002120589,0.8753122,0.0003542374,0.0005825541,0.04801513],"study_design_scores_gemma":[0.00002040525,0.001307062,0.3814237,0.00003214957,0.0001521097,0.001918178,0.0002888736,0.002523254,0.6037436,0.0005449036,0.008002986,0.00004278798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838718,0.00397077,0.007609031,0.00007540771,0.00003647476,0.00003346784,0.001817726,0.0001393579,0.002445856],"genre_scores_gemma":[0.9843046,0.003112554,0.006271366,0.0002929714,0.00004465166,0.00005963791,0.003066766,0.00003852118,0.002808801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001800011,"threshold_uncertainty_score":0.005072057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00743738574244537,"score_gpt":0.2259816549799839,"score_spread":0.2185442692375385,"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."}}