{"id":"W4409285005","doi":"10.1016/j.jenvman.2025.125198","title":"Development of in-situ MOF-modified ceramic filters for enhancing fluoride removal in water supply for remote communities","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Science Foundation of Fujian Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Fluoride; In situ; Water supply; Environmental science; Ceramic; Water treatment; Environmental engineering; Waste management; Materials science; Chemistry; Engineering; Inorganic chemistry; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068422,0.0001981246,0.0003674559,0.0002669251,0.00009555813,0.00001844891,0.0003690664,0.00006176435,0.00007478058],"category_scores_gemma":[0.000006850084,0.0001565751,0.00014693,0.0001009804,0.0001106318,0.0001780201,0.0003228848,0.0001557974,0.000006184012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008287561,"about_ca_system_score_gemma":0.00000989799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000527433,"about_ca_topic_score_gemma":0.0004879593,"domain_scores_codex":[0.9981948,0.00005387861,0.0008973856,0.0001791978,0.000301888,0.0003728638],"domain_scores_gemma":[0.9994414,0.0001036445,0.0002010669,0.0002022629,0.000003325647,0.0000482273],"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":[0.001246451,0.0007447735,0.003523717,0.0005377379,0.0002303904,0.00008845768,0.005441557,0.01921002,0.7632998,0.000186858,0.0004674677,0.2050227],"study_design_scores_gemma":[0.01356614,0.0007774628,0.2389782,0.001509393,0.0002057124,0.00005029085,0.01202035,0.007539689,0.6752306,0.003467211,0.04575095,0.0009039569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873643,0.00008594236,0.009337584,0.0001886003,0.0003335778,0.0008599811,0.000004328199,0.000003764204,0.001821935],"genre_scores_gemma":[0.9401749,0.00009105303,0.05859444,0.0001368902,0.00002095401,0.00001744011,0.00001116441,0.00001694644,0.0009362327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2354545,"threshold_uncertainty_score":0.6384946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008833407519982753,"score_gpt":0.2287651326298579,"score_spread":0.2199317251098751,"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."}}