{"id":"W2805641740","doi":"10.2166/wqrj.2018.027","title":"Iron and NOM interactions in GAC groundwater treatment","year":2018,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shared Services Canada; University of Ottawa","funders":"","keywords":"Chemistry; Adsorption; Fractionation; Potassium permanganate; Organic matter; Effluent; Environmental chemistry; Groundwater; Chromatography; Inorganic chemistry; Organic chemistry; Environmental engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001579501,0.0002116717,0.0002312305,0.0003058498,0.001004551,0.0006242272,0.0002458064,0.0003118588,0.0009566972],"category_scores_gemma":[0.0002492751,0.000132083,0.0001313598,0.0002231966,0.0003771601,0.000142336,0.0002144665,0.000314162,0.0002514691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002714456,"about_ca_system_score_gemma":0.001392802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621494,"about_ca_topic_score_gemma":0.2902917,"domain_scores_codex":[0.9996578,0.00003483321,0.000008530581,0.00004380487,0.0001641827,0.00009087041],"domain_scores_gemma":[0.9998935,0.00001627556,0.00001706191,0.00000441702,0.00005151916,0.00001718359],"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":[0.0001991174,0.00002609088,0.008756997,0.0001093758,0.00001456909,0.0002471023,0.0002360869,0.0003399161,0.9824181,0.00009371133,0.0002286884,0.007330323],"study_design_scores_gemma":[0.00001740492,0.0003947511,0.1164719,0.00002425181,0.0000333311,0.0002427348,0.000855512,0.002194808,0.8678533,0.00009047925,0.01179621,0.00002549771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960073,0.0005313971,0.0005435816,0.0001002664,0.00001450445,0.00003323361,0.0001259585,0.00002994942,0.002613967],"genre_scores_gemma":[0.9960038,0.0002329818,0.0008586637,0.00006010919,0.000004427922,0.0000100109,0.0001346779,0.000007852613,0.002687548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621494,"threshold_uncertainty_score":0.3224111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626027149244341,"score_gpt":0.4377494178821735,"score_spread":0.2751467029577394,"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."}}