{"id":"W2791208566","doi":"10.3390/min8020032","title":"Copper Bioleaching in China: Review and Prospect","year":2018,"lang":"en","type":"article","venue":"Minerals","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Bioleaching; Copper; Copper ore; Copper extraction techniques; Leaching (pedology); Environmental science; China; Copper mine; Metallurgy; Waste management; Mining engineering; Engineering; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007526811,0.001073462,0.001312209,0.004297906,0.0004574317,0.001075254,0.0008688755,0.0008789599,0.002146686],"category_scores_gemma":[0.000620702,0.0003825029,0.0006306553,0.00745639,0.0005665249,0.00183069,0.0007196365,0.0006425502,0.0005347553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006763893,"about_ca_system_score_gemma":0.002617777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003748701,"about_ca_topic_score_gemma":0.004697985,"domain_scores_codex":[0.9997402,0.00002915848,0.00006344247,0.000056021,0.0000889932,0.00002216824],"domain_scores_gemma":[0.9994227,0.0001770293,0.0001225907,0.00001525873,0.0001993592,0.00006314192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009004636,0.0001217535,0.001403349,0.04861758,0.0001544148,0.0004642071,0.0002662257,0.001017837,0.003099969,0.003547967,0.02243205,0.9187846],"study_design_scores_gemma":[0.00002966688,0.0004423249,0.008352676,0.006516903,0.0005272379,0.002147491,0.0004637723,0.0005313891,0.002004769,0.001899634,0.9770052,0.00007892434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007070015,0.9980525,0.0001714259,0.0002199178,0.0001862403,0.000006267403,0.00002176757,0.00000652295,0.0006284392],"genre_scores_gemma":[0.001964601,0.9972047,0.000168704,0.0001428278,0.0001830687,0.000006129539,0.00003463162,0.000001156426,0.000294101],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004297906,"threshold_uncertainty_score":0.007453799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168526343810908,"score_gpt":0.2533241187563704,"score_spread":0.2416388553182613,"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."}}