{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004685987,0.00027834,0.000200898,0.00182978,0.0002105273,0.0006475544,0.0001698763,0.0002330816,0.0006134766],"category_scores_gemma":[0.000879434,0.000128278,0.000454938,0.004279877,0.0002574064,0.0006137069,0.0005677284,0.0002186749,0.0001589739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004366608,"about_ca_system_score_gemma":0.0005059786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03500779,"about_ca_topic_score_gemma":0.04187194,"domain_scores_codex":[0.9997212,0.00002683814,0.000046844,0.0001037111,0.0000578816,0.00004349451],"domain_scores_gemma":[0.9989661,0.00008749356,0.000492756,0.00006507677,0.0003348391,0.00005370485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002814766,0.000006849392,0.9858946,0.00007904308,0.0001194363,0.00006867729,0.0002892677,0.0003337866,0.001288556,0.000134237,0.0004291547,0.01132822],"study_design_scores_gemma":[0.000001467559,0.00001401699,0.9961063,0.00001821003,0.00004236508,0.00005066396,0.0004168422,0.000278413,0.0002960792,0.00004415429,0.002725086,0.000006365671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893856,0.001842987,0.0003909285,0.0001791522,0.00001603801,0.000008439559,0.006420089,0.0000440473,0.00171264],"genre_scores_gemma":[0.9900615,0.002068074,0.001183189,0.0001003678,0.00002955635,0.00002755359,0.006015383,0.00001191747,0.000502584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03500779,"threshold_uncertainty_score":0.06960803,"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."}}