{"id":"W2188094915","doi":"10.2166/wqrj.2001.037","title":"Cold Water Effects on Enhanced Coagulation of High DOC, Low Turbidity Water","year":2001,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Agriculture and Agri-Food Canada","funders":"","keywords":"Turbidity; Dissolved organic carbon; Sulfate; Absorbance; Chemistry; Coagulation; Raw water; Environmental chemistry; Water treatment; Turbidite; Environmental engineering; Environmental science; Chromatography; Sediment; Geology","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":[0.0002361917,0.0002997826,0.0002698864,0.0002319481,0.0002174183,0.0004512732,0.0001835511,0.0002801549,0.001209209],"category_scores_gemma":[0.0004855535,0.0002168658,0.0001897335,0.0001568224,0.0002466779,0.0001989499,0.0002497235,0.0003974286,0.0002219118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941528,"about_ca_system_score_gemma":0.0001866444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528862,"about_ca_topic_score_gemma":0.004090437,"domain_scores_codex":[0.999764,0.00005112638,0.00001699027,0.00004332238,0.00008555022,0.0000388725],"domain_scores_gemma":[0.9996793,0.00008975571,0.0000764834,0.0000227501,0.00008539845,0.00004627945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001539666,0.00001857067,0.0005304623,0.00002542555,0.000005802909,0.00002784515,0.00003069039,0.00006273337,0.9982418,0.000007301428,0.00001711171,0.0008782775],"study_design_scores_gemma":[0.00001446444,0.0009405536,0.01590089,0.000002906624,0.00001839905,0.00006844647,0.00004466415,0.0003043489,0.9820677,0.00001695827,0.0006136135,0.000006979868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989399,0.0002242869,0.0004105339,0.00001665843,0.000005401581,0.00001024381,0.00006359805,0.00001341929,0.0003159844],"genre_scores_gemma":[0.9973531,0.0001903963,0.001129076,0.00003379909,0.000003550585,0.000007498402,0.0001429945,0.0000100276,0.001129623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002528862,"threshold_uncertainty_score":0.005028248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05791438692136724,"score_gpt":0.3503519026695535,"score_spread":0.2924375157481862,"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."}}