{"id":"W4403488571","doi":"10.1080/00194506.2024.2412620","title":"Modification of steel slag and its application for phosphate and ammonia removal in aquatic products processing wastewater","year":2024,"lang":"en","type":"article","venue":"Indian Chemical Engineer","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wastewater; Ammonia; Phosphate; Slag (welding); Waste management; Environmental science; Pulp and paper industry; Chemistry; Metallurgy; Environmental chemistry; Environmental engineering; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247443,0.00007365661,0.00007850985,0.00003212492,0.00001244884,0.00001685021,0.00005119009,0.00003798743,0.000003968608],"category_scores_gemma":[0.00001780601,0.00006483969,0.000009181857,0.0001691615,0.00003012541,0.0001238336,0.00003727527,0.00004847254,0.000007023886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004589534,"about_ca_system_score_gemma":0.000004374893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353738,"about_ca_topic_score_gemma":0.000001365872,"domain_scores_codex":[0.9994018,0.000002785396,0.0001377156,0.0002393881,0.00009496843,0.0001233355],"domain_scores_gemma":[0.9998519,0.00001486166,0.0000218158,0.00007207799,0.000003598115,0.00003572655],"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":[0.00002896457,0.00006086858,0.0005159944,0.0007360342,0.000007574562,0.000003430962,0.001340305,0.0002293207,0.9195451,0.000391514,0.00009629875,0.07704455],"study_design_scores_gemma":[0.0003566295,0.00002790333,0.001276462,0.0001086349,0.00001768093,0.000006466308,0.00003179062,0.197863,0.7938904,0.0009572097,0.005299148,0.000164712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978343,0.0009511815,0.0002763292,0.0003557473,0.00001995533,0.0004622245,0.000003430763,0.00001927156,0.00007754868],"genre_scores_gemma":[0.9985409,0.0000371269,0.001172688,0.00001275883,0.00001533815,0.00008583687,0.00001069751,0.00001044535,0.0001142574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1976337,"threshold_uncertainty_score":0.2644086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008508268819615505,"score_gpt":0.2155510808225903,"score_spread":0.2070428120029748,"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."}}