{"id":"W2288760530","doi":"10.14288/1.0062593","title":"The removal of heavy metals from municipal wastewaters by lime-magnesium coagulation","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lime; Magnesium; Coagulation; Heavy metals; Waste management; Environmental science; Chemistry; Pulp and paper industry; Environmental chemistry; Metallurgy; Engineering; Materials science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002808004,0.0003142228,0.0003309743,0.0003116338,0.0005251204,0.0006791335,0.0002749549,0.0003159392,0.0004484906],"category_scores_gemma":[0.0004175619,0.0002222107,0.0002461892,0.0002354171,0.0003124543,0.0001472708,0.0004366073,0.0002440955,0.0001888367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008619406,"about_ca_system_score_gemma":0.000785925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03689731,"about_ca_topic_score_gemma":0.07530283,"domain_scores_codex":[0.999669,0.00005319652,0.00002127163,0.00004973976,0.0001486447,0.00005834064],"domain_scores_gemma":[0.9999262,0.00001495508,0.00001454707,0.000004520103,0.00002524491,0.00001446794],"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":[0.0002392304,0.00004587261,0.003951202,0.0001451461,0.00001169552,0.00009551769,0.0001431607,0.0002308661,0.9843367,0.00003103988,0.0000419346,0.0107275],"study_design_scores_gemma":[0.00008847222,0.001347379,0.03679192,0.00001509579,0.00004880945,0.0004156958,0.0003198239,0.002460283,0.9557869,0.0000751043,0.002627544,0.00002306246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986457,0.0001974529,0.0005307748,0.0000342626,0.00000238955,0.00002016307,0.0000134919,0.000008866527,0.000546947],"genre_scores_gemma":[0.9954675,0.0002887444,0.002211354,0.00002478437,0.000002549475,0.000008180041,0.0000444098,0.000003774008,0.001948664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03689731,"threshold_uncertainty_score":0.07336509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004485959899218691,"score_gpt":0.1580827398972574,"score_spread":0.1535967799980388,"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."}}