{"id":"W4286632591","doi":"10.1021/acs.estlett.2c00260","title":"Widespread Occurrence of Non-Extractable Fluorine in Artificial Turfs from Stockholm, Sweden","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"H2020 Marie Skłodowska-Curie Actions","keywords":"Geography","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":[0.0003907677,0.0006242106,0.0003813365,0.003159103,0.0007844521,0.001249654,0.0004173659,0.0003972697,0.0005849827],"category_scores_gemma":[0.0003747728,0.0002328984,0.0003139671,0.00100636,0.0006636907,0.0002114515,0.0005090366,0.0001923568,0.0003270017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126285,"about_ca_system_score_gemma":0.0005461075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006428057,"about_ca_topic_score_gemma":0.01545293,"domain_scores_codex":[0.9994783,0.00006594791,0.00005600151,0.0001103503,0.0002035314,0.0000859931],"domain_scores_gemma":[0.9995655,0.00007219166,0.0001669767,0.0000184062,0.0001193117,0.00005765329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000595245,0.00009844748,0.508938,0.0007403325,0.0001697736,0.006413436,0.004119137,0.0006415686,0.4416151,0.0001738013,0.0004952798,0.03599998],"study_design_scores_gemma":[0.000008981482,0.000352029,0.957971,0.0001520532,0.00007188129,0.003699357,0.003682154,0.0002065768,0.02555168,0.00005868279,0.008217487,0.00002806953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979038,0.0007008315,0.0002606415,0.00002297791,0.000008320761,0.00001056953,0.000227935,0.0000185689,0.0008463406],"genre_scores_gemma":[0.9962016,0.0009001981,0.001225914,0.00005799575,0.00001462326,0.00001740853,0.000687026,0.00001566548,0.0008795782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006428057,"threshold_uncertainty_score":0.01278132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00944470174074834,"score_gpt":0.2463614097917115,"score_spread":0.2369167080509632,"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."}}