{"id":"W2582074365","doi":"10.1002/cjce.22799","title":"Effective treatment of high phosphorus pharmaceutical wastewater by chemical precipitation","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Chemistry; Phosphorus; Wastewater; Effluent; Chemical oxygen demand; Nuclear chemistry; Precipitation; Metal; Molar ratio; Inorganic chemistry; Environmental engineering; Organic chemistry; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001472095,0.0001173828,0.0001800145,0.00002087633,0.00008266887,0.00004384941,0.0003543356,0.0000477186,0.000140199],"category_scores_gemma":[0.0000667898,0.00007989298,0.0000848933,0.00003924883,0.0001606207,0.000115883,0.00003693894,0.0001171666,0.0000118545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050785,"about_ca_system_score_gemma":0.00002015361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003170598,"about_ca_topic_score_gemma":0.00003043843,"domain_scores_codex":[0.99925,0.000009371714,0.0002089433,0.00009965495,0.0001889552,0.0002430927],"domain_scores_gemma":[0.9993098,0.00004846425,0.0001323924,0.0001980092,0.00001316493,0.0002981864],"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":[0.0001825489,0.0001499498,0.00444617,0.00002458066,0.0002390937,0.00005647913,0.001063301,0.003919299,0.9521931,0.0003368206,0.004253574,0.03313512],"study_design_scores_gemma":[0.0006905418,0.0000962584,0.00164596,0.00002578669,0.00005600651,0.00001411957,0.00000457604,0.001330294,0.9867911,0.0001444152,0.00910051,0.0001004002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984928,0.0002214932,0.00005485403,0.0006496055,0.000181041,0.0001427197,0.000007968063,0.00000330537,0.0002462479],"genre_scores_gemma":[0.999645,0.00001505406,0.0001923094,0.00002027959,0.00006566976,0.000007300707,0.000001807481,0.00001131237,0.00004129849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03459806,"threshold_uncertainty_score":0.4793016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006754900501294472,"score_gpt":0.2100917704897942,"score_spread":0.2033368699884997,"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."}}