{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003885416,0.0001133903,0.0001532407,0.00010373,0.00003965855,0.00008991001,0.0001914371,0.00004785821,0.000002069018],"category_scores_gemma":[0.0001246363,0.00009285587,0.00006072127,0.00007242423,0.00001242083,0.000152307,0.000004920651,0.0003012088,0.000001398821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246625,"about_ca_system_score_gemma":0.0001450384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002070698,"about_ca_topic_score_gemma":0.00004065202,"domain_scores_codex":[0.9993038,0.000004519981,0.0002521088,0.0000560241,0.0001150387,0.0002685694],"domain_scores_gemma":[0.9994022,0.00005086673,0.0000448442,0.0000717436,0.00006851353,0.0003618372],"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":[0.000007526454,8.990642e-7,0.000003287095,0.0000344515,0.00001948024,0.000006975654,0.0003296869,0.9812098,0.01657227,0.0001887171,0.001233498,0.0003933852],"study_design_scores_gemma":[0.0003127875,0.00001452795,5.080907e-7,0.0001052868,0.00002135932,0.000139632,0.00001719792,0.9662893,0.0291363,0.0003247735,0.00350512,0.0001331353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078123,0.0004591181,0.09042048,0.0001554543,0.0008544907,0.00006858381,0.00001556211,0.00004643819,0.000167562],"genre_scores_gemma":[0.9959154,0.000001019888,0.00317851,0.00001693527,0.0008316145,0.000002515789,0.000007168685,0.00003275085,0.00001415368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08810302,"threshold_uncertainty_score":0.3786553,"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."}}