{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002365546,0.00008559859,0.000152763,0.00004673871,0.00002769451,0.00001889694,0.00004112821,0.00003003872,0.0001622463],"category_scores_gemma":[0.00003460908,0.00006739306,0.00001913084,0.0001009377,0.00001819757,0.00009105824,0.00001299406,0.0001205745,0.00005954394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001489874,"about_ca_system_score_gemma":0.000002072424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000363026,"about_ca_topic_score_gemma":0.0000479531,"domain_scores_codex":[0.9995593,0.00002094127,0.0001466946,0.0001040702,0.00004374215,0.0001252093],"domain_scores_gemma":[0.9998485,0.000008055003,0.00001332941,0.0000875558,0.00000666287,0.0000359006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008614942,0.000063154,0.005445376,0.002043771,0.0000543289,0.00001581773,0.0007061875,0.00007035173,0.8517877,0.002144468,0.07050617,0.06715401],"study_design_scores_gemma":[0.001010747,0.0001630731,0.02990096,0.002706912,0.0000761542,0.0001310903,0.00004537361,0.01052513,0.0211544,0.0003771547,0.9328747,0.001034269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8413302,0.0338506,0.0001519429,0.0008888805,0.0003586111,0.0003499754,0.000004447623,0.0002585685,0.1228068],"genre_scores_gemma":[0.9954581,0.00205388,0.0004956325,0.0004611859,0.0001302317,0.000007974535,0.000003077036,0.00001271859,0.001377234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8623686,"threshold_uncertainty_score":0.2748209,"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."}}