{"id":"W4403416088","doi":"10.1016/j.scitotenv.2024.176771","title":"Corrigendum to “Innovating Ferro-sonication approach for extracting microplastics from wastewater” [Sci. Total Environ. (2024) 1-9, 175595]","year":2024,"lang":"en","type":"erratum","venue":"The Science of The Total Environment","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Microplastics; Sonication; Wastewater; Environmental science; Pulp and paper industry; Chemistry; Environmental chemistry; Fishery; Waste management; Environmental engineering; Engineering; Chromatography; Biology","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":[0.003112171,0.002980866,0.002694469,0.004676746,0.006041623,0.004008048,0.004600602,0.009378625,0.148001],"category_scores_gemma":[0.0197447,0.001617593,0.002915349,0.003387073,0.002114529,0.002859325,0.002811929,0.009366065,0.1096483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00613441,"about_ca_system_score_gemma":0.007453253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05937874,"about_ca_topic_score_gemma":0.1086665,"domain_scores_codex":[0.9951165,0.0003594965,0.0005254389,0.0006498116,0.002872157,0.0004765719],"domain_scores_gemma":[0.9857142,0.002097578,0.0005575026,0.0007400819,0.01001155,0.0008791943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001368711,0.000009246907,0.00001569122,0.00008064031,0.000004222547,0.00006200272,0.000006214128,0.00002238404,0.0001031012,0.0002994588,0.996326,0.003057394],"study_design_scores_gemma":[0.00001756443,0.00002733856,0.0005897289,0.0001320004,0.00002356365,0.0000797078,0.00003244132,0.0001240117,0.0006227235,0.0007771271,0.9975371,0.00003662423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007863939,0.001706685,0.0005748275,0.03729653,0.9438168,0.00006424716,0.001503849,0.0005011686,0.0144572],"genre_scores_gemma":[0.002943149,0.01052012,0.002783542,0.078839,0.1276636,0.0002768345,0.004652606,0.001086135,0.7712351],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.148001,"threshold_uncertainty_score":0.4951126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696583806423343,"score_gpt":0.2186159007599852,"score_spread":0.2016500626957517,"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."}}