{"id":"W4415673358","doi":"10.1021/acs.iecr.5c02072","title":"Enzymatic Biooxidation Technology (EnBiTe): Process Optimization for Recovery of Gold from Refractory Sulfide Ores in Cold Conditions","year":2025,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; York University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Centre Technologique des Résidus Industriels; Mitacs; York University","keywords":"Gold cyanidation; Aeration; Volumetric flow rate; Substrate (aquarium); Oxidizing agent; Sulfide; Industrial and production engineering; Immobilized enzyme; Hydrogen sulfide","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004947173,0.0001361734,0.0002348179,0.000479953,0.00003805426,0.00003794035,0.0002143136,0.0004346556,0.0000663712],"category_scores_gemma":[0.001213733,0.0001541986,0.00004505742,0.001116581,0.00004405709,0.000151938,0.00002949869,0.0007204612,0.000001720445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002276709,"about_ca_system_score_gemma":0.0001138527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003715382,"about_ca_topic_score_gemma":0.000003938814,"domain_scores_codex":[0.9988557,0.00002156001,0.0004331362,0.0002112639,0.0002004398,0.0002779014],"domain_scores_gemma":[0.9990695,0.0004723711,0.00004801592,0.0002144502,0.0001493608,0.00004631126],"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":[0.00002355293,0.00003152728,0.00006961712,0.0002255578,0.00003239343,8.461916e-7,0.00001331147,0.3533011,0.6451485,0.0000583328,0.0003636081,0.0007316347],"study_design_scores_gemma":[0.000683547,0.00001692309,0.00002775881,0.000443936,0.00001008098,5.682713e-7,0.0001326175,0.1326449,0.8644589,0.00009924688,0.001359075,0.0001224222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933705,0.0002600567,0.004167636,0.0001426902,0.0003196802,0.0005471422,0.0001260417,0.0002300175,0.0008362886],"genre_scores_gemma":[0.9988138,0.00004857144,0.0003680988,0.000002474765,0.0001373098,0.0001863185,0.0001880216,0.00002421807,0.0002311721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2206562,"threshold_uncertainty_score":0.6288036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0459328280545367,"score_gpt":0.3329714673651836,"score_spread":0.2870386393106469,"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."}}