{"id":"W4388571175","doi":"10.1016/j.scitotenv.2023.168378","title":"Microplastics attenuation from surface water to drinking water: Impact of treatment and managed aquifer recharge – and identification uncertainties","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Commission","keywords":"Groundwater recharge; Aquifer; Environmental science; Groundwater; Water treatment; Microplastics; Surface water; Hydrology (agriculture); Contamination; Filtration (mathematics); Environmental chemistry; Environmental engineering; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005566913,0.0001141091,0.0001088248,0.0000340309,0.0002827914,0.00003355863,0.0002057738,0.00002443106,0.0001485561],"category_scores_gemma":[0.00002244406,0.000050977,0.0000373443,0.0001296963,0.0006815058,0.00009474819,0.0004849475,0.00004069469,0.000122708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570215,"about_ca_system_score_gemma":0.000007297039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009105697,"about_ca_topic_score_gemma":0.00001017042,"domain_scores_codex":[0.9989915,0.00004789775,0.0001974961,0.0002532618,0.0002693255,0.0002405385],"domain_scores_gemma":[0.9995197,0.00006177181,0.00006976157,0.0002880853,0.000003924691,0.0000567436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001493174,0.00001335632,0.001251246,0.000001563318,0.000009780285,1.065935e-7,0.001863867,0.1619142,0.8344641,0.000009550545,0.0000203998,0.0004368731],"study_design_scores_gemma":[0.0001838368,0.000158169,0.2874322,0.00001718228,0.0000492533,0.000003096051,0.0001973656,0.02711066,0.6840712,0.0006278308,0.00003670518,0.0001125436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989621,0.000009237257,0.0002462352,0.0003512294,0.0001131461,0.0002470804,0.00003291213,0.000006548121,0.0000315117],"genre_scores_gemma":[0.9992154,0.00006131126,0.0001330812,0.000003859549,0.000008656167,0.000004015512,0.000006506071,0.000005984252,0.0005612186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2861809,"threshold_uncertainty_score":0.2511037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216390154152306,"score_gpt":0.2164584850942602,"score_spread":0.2042945835527372,"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."}}