{"id":"W2412106185","doi":"10.2175/106143005x51950","title":"Hybrid Process for Heavy Metal Removal from Wastewater Sludge","year":2005,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ferrous; Chemistry; Ferric; Hydraulic retention time; Wastewater; Sewage sludge; Bioleaching; Bioreactor; Cadmium; Zinc; Activated sludge; Organic matter; Continuous stirred-tank reactor; Nuclear chemistry; Environmental chemistry; Sewage treatment; Copper; Inorganic chemistry; Waste management; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001096761,0.0001825574,0.0001684089,0.00005479271,0.0002589035,0.00006393275,0.0003448315,0.00007196472,0.007596128],"category_scores_gemma":[0.00001601764,0.0001172503,0.00008478245,0.00004635592,0.000275853,0.0003164212,0.0003489143,0.0002134019,0.005183858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314014,"about_ca_system_score_gemma":0.000006060641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001911426,"about_ca_topic_score_gemma":0.00002463017,"domain_scores_codex":[0.9972438,0.0001283638,0.0002394979,0.0006191406,0.000988591,0.0007805834],"domain_scores_gemma":[0.9993401,0.00007564355,0.00002627796,0.0003780389,0.000005483988,0.0001744586],"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":[0.0002124818,0.0003461948,0.002434803,0.00001902027,0.00002770077,0.00001965356,0.0008948175,0.001720272,0.9753502,0.000005960754,0.003938669,0.01503024],"study_design_scores_gemma":[0.0006669597,0.0001842809,0.002238567,0.000004904822,0.00001235701,0.000005955541,0.0000366979,0.002866041,0.8440046,0.0006420612,0.1491429,0.0001946494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955348,0.0000359475,0.0001582925,0.002202685,0.00006550267,0.0008527758,0.00003942144,0.00002822537,0.001082336],"genre_scores_gemma":[0.9941552,0.000027547,0.001180087,0.0001022449,0.0004423152,0.0002061455,0.0002279955,0.00003205381,0.003626429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1452042,"threshold_uncertainty_score":0.9955907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482509977130824,"score_gpt":0.2990766493095341,"score_spread":0.2642515495382259,"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."}}