{"id":"W4224911191","doi":"10.1021/acsestwater.1c00377","title":"Poly- and Perfluoroalkyl Substances in Municipal Wastewater Treatment Plants in the United States: Seasonal Patterns and Meta-Analysis of Long-Term Trends and Average Concentrations","year":2022,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Water Research Foundation","keywords":"Perfluorooctanoic acid; Effluent; Wastewater; Environmental science; Sewage treatment; Environmental chemistry; Chemistry; Environmental engineering","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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01075027,0.001584081,0.0042484,0.004138252,0.000539664,0.002081097,0.001247825,0.001372299,0.001029434],"category_scores_gemma":[0.01346259,0.001056232,0.02319521,0.007191445,0.0004041622,0.0007580753,0.001238158,0.001116803,0.0001672869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239382,"about_ca_system_score_gemma":0.001970627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193506,"about_ca_topic_score_gemma":0.02445364,"domain_scores_codex":[0.9924555,0.004025612,0.001092686,0.001627897,0.0005575397,0.0002407318],"domain_scores_gemma":[0.9917899,0.005444219,0.0008656589,0.001017699,0.0006988918,0.0001835667],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001998177,0.00003012695,0.109893,0.01442192,0.8546467,0.0002042572,0.0001168556,0.00236015,0.001333954,0.0001910392,0.001350956,0.01345285],"study_design_scores_gemma":[0.0002712331,0.0002961425,0.09229783,0.002172544,0.8955624,0.0002305995,0.0001872534,0.001887435,0.0009644421,0.0005009208,0.00557823,0.00005105529],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2428046,0.7290179,0.009546486,0.00126758,0.0005458571,0.0001606795,0.01537877,0.0003508029,0.0009274464],"genre_scores_gemma":[0.9296265,0.05630528,0.006105846,0.0009271724,0.0001122899,0.0002910552,0.006075346,0.0001259796,0.0004305631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957516,"threshold_uncertainty_score":0.05685353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487479270863477,"score_gpt":0.2938805337846905,"score_spread":0.2451326066983428,"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."}}