{"id":"W2557350180","doi":"10.3390/min6040128","title":"Experiences and Future Challenges of Bioleaching Research in South Korea","year":2016,"lang":"en","type":"article","venue":"Minerals","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Bioleaching; Tailings; Mineral processing; Environmental science; Mining engineering; Science Citation Index; Waste management; Citation; Engineering; Metallurgy; Computer science; Library science; 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":[0.005216482,0.000551298,0.000430554,0.002755468,0.001619034,0.004880385,0.001184653,0.001320987,0.008009963],"category_scores_gemma":[0.00274395,0.0002628378,0.000574891,0.005273276,0.001102134,0.005672718,0.002952989,0.000906558,0.001456831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592412,"about_ca_system_score_gemma":0.006579712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362467,"about_ca_topic_score_gemma":0.003076117,"domain_scores_codex":[0.998194,0.0005416298,0.0004022123,0.0002269019,0.0003308325,0.0003044141],"domain_scores_gemma":[0.9952145,0.001116187,0.0007696465,0.0002501095,0.001451834,0.001197878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005898553,0.0006636851,0.04019084,0.02268489,0.0001713879,0.00895225,0.03301492,0.0006081349,0.03095903,0.02544237,0.03547697,0.8012457],"study_design_scores_gemma":[0.00003358468,0.0004540944,0.02833978,0.003640298,0.0001531368,0.006031904,0.1211814,0.0002250477,0.005877699,0.005607341,0.8283089,0.0001467484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.323801,0.5152104,0.005054622,0.1053432,0.003414054,0.0001994495,0.001083034,0.000185913,0.0457083],"genre_scores_gemma":[0.4759932,0.4631334,0.01603529,0.01925316,0.0007847369,0.0001570022,0.00146789,0.0001376055,0.02303771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008009963,"threshold_uncertainty_score":0.02758771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763663841984381,"score_gpt":0.3174774885885986,"score_spread":0.2411111043901605,"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."}}