{"id":"W1980377193","doi":"10.1002/cjce.20317","title":"Simulation of direct leaching of zinc concentrate in a non‐ideally mixed CSTR","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Continuous stirred-tank reactor; Ferrous; Zinc; Dissolution; Leaching (pedology); Chemistry; Ferric; Particle size; Mass transfer; Population; Oxygen; Inorganic chemistry; Chemical engineering; Metallurgy; Materials science; Chromatography; Physical chemistry","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":[0.0002314205,0.00007340963,0.0001704543,0.0001213769,0.00001209923,0.00001310693,0.00012479,0.00006417681,0.00002466546],"category_scores_gemma":[0.0002758323,0.00006403863,0.0000461106,0.0001526062,0.00002640211,0.0001169177,0.000002598224,0.0003837186,5.217565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004736639,"about_ca_system_score_gemma":0.0001138367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002266436,"about_ca_topic_score_gemma":0.0009053608,"domain_scores_codex":[0.9993613,0.000005730634,0.0003695605,0.00003600995,0.00009757168,0.0001297889],"domain_scores_gemma":[0.9994767,0.0001547651,0.00008744097,0.00006880166,0.00008676501,0.0001255042],"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":[0.000002556299,0.000001839928,0.0001239208,0.00003105727,0.00001007901,0.00000217768,0.0002137512,0.6225309,0.3767114,0.0000780801,0.00001291748,0.0002812792],"study_design_scores_gemma":[0.0002419925,0.000009417835,0.0007615631,0.00008845003,0.00001081083,0.00001324273,0.00001565183,0.5900291,0.4080725,0.00005213375,0.0006219937,0.00008313548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962753,0.0001135812,0.002525098,0.00004694697,0.0002775386,0.00003738262,0.000002989681,0.000008605347,0.0007125799],"genre_scores_gemma":[0.9995422,0.000002381876,0.0003687003,0.000006747504,0.00006016824,5.799421e-7,8.866107e-7,0.00001219622,0.000006172694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03250178,"threshold_uncertainty_score":0.261142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007133144142291764,"score_gpt":0.2143596095902015,"score_spread":0.2072264654479097,"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."}}