{"id":"W3133636339","doi":"10.1021/acs.est.0c08035","title":"Spatial and Temporal Trends of Perfluoroalkyl Substances in Global Ocean and Coastal Waters","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; China; Period (music); Oceanography; Physical geography; Hydrology (agriculture); Environmental protection; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003017043,0.0001748493,0.0002283691,0.0001859056,0.0001830929,0.00002990345,0.0003723935,0.0001171889,0.000665662],"category_scores_gemma":[0.00001988438,0.0001609179,0.00002608555,0.001252026,0.006003354,0.0003662561,0.0008133067,0.0001835094,0.00001633139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484572,"about_ca_system_score_gemma":0.00002750897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005732886,"about_ca_topic_score_gemma":0.002095884,"domain_scores_codex":[0.9979326,0.000038617,0.0002541386,0.0006645852,0.0005352141,0.0005748829],"domain_scores_gemma":[0.9994965,0.00001472724,0.00006523227,0.0002662576,0.000002671874,0.000154591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001416347,0.00006354762,0.701903,0.000002214946,0.000001742336,0.00003608611,0.0001818216,0.000009695128,0.06365624,0.00006156174,0.00001410153,0.2340558],"study_design_scores_gemma":[0.0005662189,0.0001822792,0.932174,0.00001110446,0.000004606939,0.0001152956,0.001493778,0.0004206836,0.06095467,0.0006147019,0.003239295,0.0002234208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930826,0.003830251,0.00002440548,0.0005486159,0.00005317319,0.0000786307,0.00004606108,0.00002325043,0.002313019],"genre_scores_gemma":[0.9985618,0.000611809,0.0005484172,0.00003142468,0.000007252282,0.000005003614,0.000007627907,0.000006481209,0.0002201921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2338323,"threshold_uncertainty_score":0.9967017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006429021227541897,"score_gpt":0.2375550441228381,"score_spread":0.2311260228952962,"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."}}