{"id":"W4415461890","doi":"10.1016/j.hazadv.2025.100920","title":"Per- and poly-fluoroalkyl substances (PFAS) in water matrices impacted by industrial activities: Challenges and treatment strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials Advances","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Regina","funders":"City of Regina; Faculty of Graduate Studies and Research, University of Alberta; Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Regina","keywords":"Water pollution; Water treatment; Work (physics); Water supply","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006540075,0.0009750368,0.0008372682,0.001197062,0.0003542085,0.001265318,0.0005040752,0.001162811,0.001650025],"category_scores_gemma":[0.000432474,0.0002972466,0.000852988,0.001112065,0.0003948317,0.001894056,0.0006742567,0.0009325538,0.0008971774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005675177,"about_ca_system_score_gemma":0.001117693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359945,"about_ca_topic_score_gemma":0.003188764,"domain_scores_codex":[0.9994703,0.00007810487,0.00006177731,0.0001194053,0.0002029547,0.00006746899],"domain_scores_gemma":[0.9998461,0.00004558407,0.00004104972,0.000008041864,0.00004990491,0.000009300858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001634597,0.0001782405,0.002780872,0.04313507,0.0003219458,0.001056638,0.0003958341,0.003898134,0.319605,0.01015593,0.007127359,0.6111816],"study_design_scores_gemma":[0.00002187806,0.001030232,0.005869022,0.004212904,0.0007542447,0.003163051,0.000811919,0.003267543,0.2286444,0.006699383,0.7453834,0.0001421305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02193619,0.9570941,0.01294265,0.001141969,0.0003341327,0.0000650947,0.0002690949,0.00007276542,0.006143994],"genre_scores_gemma":[0.06039993,0.9230859,0.01169128,0.0006521013,0.0002152782,0.00008764548,0.0003311282,0.00002282746,0.00351394],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001650025,"threshold_uncertainty_score":0.005519927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655280513790384,"score_gpt":0.2772904665513509,"score_spread":0.2607376614134471,"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."}}