{"id":"W6959349352","doi":"10.1021/acsestwater.3c00526.s001","title":"Reductions of\\nPlastic Microbeads from Personal Care\\nProducts in Wastewater Effluents and Lake Waters Following Regulatory\\nActions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Wastewater; Sewage treatment; Surface water; Hydrology (agriculture); Polyethylene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275466,0.0002677826,0.0002228987,0.0006140235,0.0006512515,0.0008827333,0.0002596373,0.0003018199,0.00130678],"category_scores_gemma":[0.000604795,0.0001498891,0.0002878135,0.0008337029,0.0005030471,0.0004304978,0.0005297309,0.0003700358,0.0002531614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0053366,"about_ca_system_score_gemma":0.003449163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4255661,"about_ca_topic_score_gemma":0.6633739,"domain_scores_codex":[0.9995229,0.00001475779,0.00002360182,0.00009284697,0.0002333109,0.0001126015],"domain_scores_gemma":[0.9994042,0.00002643645,0.0001497637,0.00001435604,0.0003453993,0.00005985657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00073581,0.0001673744,0.5061156,0.0006405684,0.00007852114,0.0003900284,0.003475195,0.0006829647,0.4290159,0.0004845826,0.004076836,0.05413662],"study_design_scores_gemma":[0.000006786847,0.0002573917,0.9383173,0.00003731446,0.00003760353,0.00005470165,0.001375991,0.000385806,0.04525833,0.00007053374,0.01417576,0.00002250879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928826,0.0003284996,0.0003457282,0.0001259335,0.00001178469,0.00003274172,0.00265062,0.00004475792,0.003577364],"genre_scores_gemma":[0.9859728,0.0006488305,0.001131693,0.0002447092,0.000009770489,0.00006065405,0.003836052,0.00001750161,0.008078065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4255661,"threshold_uncertainty_score":0.8461781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777890822228182,"score_gpt":0.2559938215038864,"score_spread":0.2382149132816046,"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."}}