{"id":"W318450921","doi":"10.2166/wst.2015.226","title":"Enhanced coagulation with in situ manganese dioxide on removal of humic acid in micro-polluted water","year":2015,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humic acid; Chemistry; Coagulation; Manganese; Permanganate; In situ; Sulfate; Environmental chemistry; Water treatment; Potassium permanganate; Nuclear chemistry; Inorganic chemistry; Environmental engineering; Organic chemistry","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":[0.0001214235,0.0003103577,0.0001817453,0.0001261639,0.00009629726,0.0001795559,0.000143961,0.0001736375,0.0003713141],"category_scores_gemma":[0.0001231295,0.0001372834,0.0002510108,0.0000930717,0.000136802,0.0001269608,0.0001591336,0.0001568155,0.00007395956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475426,"about_ca_system_score_gemma":0.0001953267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628861,"about_ca_topic_score_gemma":0.003473212,"domain_scores_codex":[0.9999125,0.00001407519,0.000006379874,0.00002102795,0.00002614738,0.0000198736],"domain_scores_gemma":[0.9999542,0.000006819949,0.00001600244,0.000003876134,0.00001238338,0.000006650146],"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":[0.00003784512,0.000006924338,0.000148398,0.00002667302,0.000002838747,0.00001650218,0.0000102084,0.00004277827,0.999131,0.000008954438,0.000005511716,0.0005622588],"study_design_scores_gemma":[0.000004874435,0.0001111085,0.001303577,0.000001513601,0.00001022425,0.00002622332,0.000009826555,0.0003644463,0.9978328,0.000005815959,0.0003276641,0.000001924699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984687,0.0002355624,0.0008699943,0.00001882494,0.000008013847,0.00001127055,0.00002271559,0.00001032387,0.0003545769],"genre_scores_gemma":[0.9961792,0.0003893996,0.002021324,0.00001950235,0.000005698275,0.00001245695,0.00004293495,0.000005720539,0.00132377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001628861,"threshold_uncertainty_score":0.003238797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009185768259799405,"score_gpt":0.2034960688736697,"score_spread":0.1943103006138703,"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."}}