{"id":"W2793708033","doi":"10.1016/j.envpol.2018.03.017","title":"Atmospheric concentrations and trends of poly- and perfluoroalkyl substances (PFAS) and volatile methyl siloxanes (VMS) over 7 years of sampling in the Global Atmospheric Passive Sampling (GAPS) network","year":2018,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Northern Contaminants Program; United Nations Environment Programme; European Commission","keywords":"Octamethylcyclotetrasiloxane; Environmental chemistry; Chemistry; Significant difference","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":[0.000365867,0.0002375746,0.0001611361,0.0005306605,0.0002318236,0.0002989327,0.0002237831,0.0002663905,0.0002800449],"category_scores_gemma":[0.0003310043,0.000121925,0.0002348987,0.0008053277,0.0001568752,0.0003260504,0.000346197,0.0001721856,0.00009445893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059374,"about_ca_system_score_gemma":0.0003023553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317951,"about_ca_topic_score_gemma":0.04262363,"domain_scores_codex":[0.9997253,0.00002694601,0.00001699499,0.0001051511,0.0000966344,0.00002894744],"domain_scores_gemma":[0.9996868,0.00003311154,0.000117414,0.00001505342,0.0001212689,0.00002629535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001596729,0.00003126015,0.9736102,0.00006629725,0.0001023764,0.0001089676,0.0003673366,0.000857587,0.01403801,0.00006411169,0.0003405464,0.01025363],"study_design_scores_gemma":[0.000002395577,0.00006854958,0.9945451,0.00000654339,0.000037079,0.00005483653,0.0001945346,0.0009893018,0.002833492,0.00002393445,0.001238891,0.000005357965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975333,0.0001470326,0.0002579274,0.00001560107,0.000004159429,0.000007454406,0.001551524,0.00001140889,0.0004716232],"genre_scores_gemma":[0.9944419,0.0002364622,0.001185983,0.00002163389,0.00001014097,0.00002374835,0.003606601,0.000004727171,0.0004687777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02317951,"threshold_uncertainty_score":0.04608917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301460694724455,"score_gpt":0.2648397361541189,"score_spread":0.2518251292068743,"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."}}