{"id":"W1974938846","doi":"10.2134/jeq2004.0307","title":"Bioproduction of Ferric Sulfate Used during Heavy Metals Removal from Sewage Sludge","year":2005,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ferrous; Chemistry; Sewage sludge; Ferric; Effluent; Sulfate; Sewage; Chloride; Phosphorus; Sewage treatment; Wastewater; Pulp and paper industry; Flocculation; Sewage sludge treatment; Waste management; Inorganic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294643,0.0007984347,0.0006666865,0.0002893288,0.000208682,0.0004065452,0.0003061678,0.0004011581,0.0005351688],"category_scores_gemma":[0.0002697699,0.0001914315,0.0003747726,0.0003282176,0.0002067378,0.000218957,0.0002386998,0.0003579845,0.0004432844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103832,"about_ca_system_score_gemma":0.0003054072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326394,"about_ca_topic_score_gemma":0.002297109,"domain_scores_codex":[0.9997337,0.00005443425,0.00003018429,0.00004963674,0.00009296998,0.00003901304],"domain_scores_gemma":[0.9998461,0.00002245854,0.00003789844,0.00001897494,0.00004871145,0.00002578267],"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":[0.00005397102,0.00001314684,0.00009490075,0.00005292147,0.000003167557,0.00001995367,0.000009401099,0.00003563424,0.9978445,0.00001318081,0.00001427062,0.001844877],"study_design_scores_gemma":[0.00000358635,0.0001684582,0.0005879617,0.000005908415,0.000009123092,0.00004238003,0.000007460088,0.0001733234,0.9984069,0.000008049342,0.0005851463,0.000001694076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915866,0.001826598,0.004802376,0.00007985665,0.00006514633,0.00005955623,0.0002034902,0.000102543,0.001273773],"genre_scores_gemma":[0.983327,0.001424809,0.01028552,0.00005488588,0.0000248073,0.000041671,0.0004410433,0.00004256999,0.004357656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001326394,"threshold_uncertainty_score":0.002637327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471212661732065,"score_gpt":0.2567139280390109,"score_spread":0.2320018014216903,"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."}}