{"id":"W1874278032","doi":"10.1002/cjce.22253","title":"Serial Hybrid Modelling for a Gold Cyanidation Leaching Plant","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Gold cyanidation; Leaching (pedology); Estimator; Computer science; Tikhonov regularization; Biological system; Process engineering; Algorithm; Environmental science; Engineering; Cyanide; Materials science; Mathematics; Metallurgy; Inverse problem; Soil science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003966899,0.0006443592,0.0007603163,0.0003417976,0.0004013106,0.0009821431,0.001170011,0.001097758,0.002125887],"category_scores_gemma":[0.0004788607,0.0005155634,0.0009764573,0.0003895816,0.0005857613,0.0008396559,0.0007786694,0.0008082857,0.0003722651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008222324,"about_ca_system_score_gemma":0.0007842574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01722129,"about_ca_topic_score_gemma":0.01261243,"domain_scores_codex":[0.9997525,0.00003609671,0.00001583501,0.00009636582,0.00007461551,0.00002461718],"domain_scores_gemma":[0.9997604,0.00009109156,0.00004535271,0.00002174881,0.0000698659,0.00001148302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003379242,0.00002290307,0.000682189,0.00003245852,0.00002041327,0.00005328618,0.00002955167,0.9885484,0.003606173,0.001404119,0.0001034857,0.005463188],"study_design_scores_gemma":[0.000002020539,0.00001094998,0.0001029465,9.627594e-7,0.000003655016,0.000005323816,0.000002688094,0.9989915,0.0004574106,0.0002793355,0.0001397628,0.000003480374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1547308,0.0003591474,0.8337621,0.0002651014,0.00007716275,0.00006411382,0.0002446952,0.0007195279,0.009777389],"genre_scores_gemma":[0.9645299,0.0002135927,0.02440085,0.00004985394,0.00001455496,0.000110943,0.000188082,0.00004121834,0.01045092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01722129,"threshold_uncertainty_score":0.03424215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584476224748266,"score_gpt":0.1922611070647736,"score_spread":0.1664163448172909,"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."}}