{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000547975,0.0001939139,0.0002274789,0.00028245,0.0001945043,0.00001397041,0.00112277,0.0001457525,0.003074076],"category_scores_gemma":[0.00004142242,0.0001411204,0.00005106974,0.0018379,0.006743843,0.0006005929,0.0005064068,0.0001852479,0.0005688482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672091,"about_ca_system_score_gemma":0.00002174518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006235008,"about_ca_topic_score_gemma":0.00009145165,"domain_scores_codex":[0.9972424,0.00003851802,0.0003652086,0.0007132486,0.0008160502,0.0008246078],"domain_scores_gemma":[0.9991545,0.00004457998,0.0001146753,0.0005487606,0.000003620293,0.0001338461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001053492,0.0001218568,0.3540712,8.010405e-7,0.000001245342,0.000007098986,0.00005434945,0.000007987102,0.4780771,0.0003408047,0.00004240352,0.1672646],"study_design_scores_gemma":[0.0005995226,0.0001928745,0.4609733,0.00002200714,0.000003287783,0.00002057793,0.0002663578,0.00001901014,0.5151399,0.00126376,0.02127132,0.0002281308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915911,0.005160101,0.0001872599,0.0005991263,0.00008310468,0.0002188792,0.00004915162,0.00004892815,0.002062358],"genre_scores_gemma":[0.9966921,0.002688153,0.0001993565,0.00001411608,0.00001250996,0.0000378644,0.000004272597,0.00001046253,0.0003411843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1670365,"threshold_uncertainty_score":0.9978372,"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."}}