{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003604364,0.0004721862,0.0009459232,0.0002477948,0.0005268448,0.0008354321,0.001036452,0.001490622,0.00164209],"category_scores_gemma":[0.0009111523,0.0003422894,0.0006712436,0.0003433177,0.0006928232,0.0005373322,0.0005906214,0.0006039054,0.0002038322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683395,"about_ca_system_score_gemma":0.001604875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03011952,"about_ca_topic_score_gemma":0.0093401,"domain_scores_codex":[0.9998102,0.00003558784,0.00001018565,0.00003831719,0.00005670348,0.00004914893],"domain_scores_gemma":[0.999447,0.0003040611,0.00005512662,0.00003250533,0.00009568308,0.00006559973],"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":[0.0001287099,0.00005808258,0.0007162382,0.0000259801,0.00001352687,0.0001021156,0.00002443968,0.9917773,0.005755692,0.0006528846,0.0000591726,0.0006858727],"study_design_scores_gemma":[0.00003529726,0.0000462392,0.0001781785,0.000001194091,0.000004386731,0.000006662811,0.00000946238,0.9973059,0.002214842,0.0001010624,0.00009249741,0.000004296513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608014,0.0000880386,0.0339414,0.000166879,0.00002571158,0.00007769778,0.0003658726,0.0002265519,0.004306524],"genre_scores_gemma":[0.9914528,0.00006126083,0.005311603,0.00002923342,0.000003143198,0.00008090719,0.0001959207,0.00001749881,0.002847604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03011952,"threshold_uncertainty_score":0.05988836,"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."}}