{"id":"W4320718887","doi":"10.1016/j.envpol.2023.121291","title":"Per- and polyfluoroalkyl substances and volatile methyl siloxanes in global air: Spatial and temporal trends","year":2023,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Government of Canada","keywords":"Environmental chemistry; Environmental science; Chemistry; Sorbent; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002696804,0.0004086118,0.0002265341,0.001361335,0.0001693118,0.0005939306,0.0001541683,0.0003259423,0.0005370511],"category_scores_gemma":[0.0002326241,0.0001227015,0.0004654704,0.002510184,0.0002492981,0.000710798,0.0004318828,0.0002052001,0.0001921579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812058,"about_ca_system_score_gemma":0.0002691074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067703,"about_ca_topic_score_gemma":0.01578398,"domain_scores_codex":[0.9998057,0.00001617559,0.00001652505,0.00007559945,0.00004963406,0.00003631628],"domain_scores_gemma":[0.9996213,0.00003601496,0.0001735239,0.0000222779,0.0001209604,0.00002592677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008325819,0.00002498286,0.9598345,0.0002372181,0.0002143579,0.000147709,0.0005953319,0.0004051306,0.009083881,0.0001476826,0.0004025564,0.02882342],"study_design_scores_gemma":[0.000001168068,0.0000611926,0.9935271,0.00001825199,0.00007092674,0.0001376471,0.0005338228,0.0003737322,0.001747559,0.00005901184,0.003460571,0.000009169988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914919,0.003039981,0.0007186336,0.00008475115,0.00002858591,0.000009264366,0.003133575,0.00003424677,0.001459137],"genre_scores_gemma":[0.9928523,0.00244536,0.001101993,0.00005169381,0.00005008445,0.00001525384,0.002836809,0.00001032113,0.0006361896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01067703,"threshold_uncertainty_score":0.0212298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000118136707196,"score_gpt":0.2515896827832528,"score_spread":0.2415885014161809,"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."}}