{"id":"W2162186315","doi":"10.5539/ep.v1n1p38","title":"Heavy Metal and Phosphorus Removal from Waters by Optimizing Use of Calcium Hydroxide and Risk Assessment","year":2011,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Chemistry; Calcium hydroxide; Phosphorus; Wastewater; Calcium carbonate; Environmental chemistry; Calcium; Eutrophication; Alkalinity; Sedimentation; Hydroxide; Daphnia; Pollutant; Metal hydroxide; Environmental engineering; Inorganic chemistry; Sediment; Environmental science; Nutrient; Ecology; Zooplankton; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004464221,0.0004756185,0.0002759016,0.0003676648,0.0001868301,0.0005442685,0.0003743043,0.0005498923,0.0003023899],"category_scores_gemma":[0.0005153893,0.0002693245,0.0003567378,0.0003030751,0.0001909391,0.0003206074,0.0003208747,0.000233053,0.0001202178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185767,"about_ca_system_score_gemma":0.0006322035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853823,"about_ca_topic_score_gemma":0.003434041,"domain_scores_codex":[0.9995961,0.00006726591,0.00004861755,0.00005809156,0.0001749146,0.00005508092],"domain_scores_gemma":[0.9998215,0.00002926636,0.0000645239,0.00001130198,0.00005536998,0.00001808438],"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":[0.00008727597,0.00005144399,0.0007355449,0.000114776,0.000008378575,0.00004060053,0.00001683832,0.0006142866,0.9940148,0.00003678292,0.0000170826,0.004262025],"study_design_scores_gemma":[0.00001935242,0.0004969307,0.001979247,0.000008633176,0.00003721639,0.00009236355,0.00003857854,0.001984173,0.9940807,0.00005107917,0.001198731,0.00001304693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937028,0.001131804,0.004062416,0.00009397551,0.000009046708,0.00006187222,0.0000381567,0.00002792443,0.0008720494],"genre_scores_gemma":[0.9850233,0.0009993812,0.01281817,0.00003130742,0.00000461382,0.00003161495,0.00009106873,0.000007823233,0.0009928584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001853823,"threshold_uncertainty_score":0.00368607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788886741516799,"score_gpt":0.1994931604411088,"score_spread":0.1816042930259408,"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."}}