{"id":"W3091996035","doi":"10.3389/fmicb.2020.557548","title":"Bioleaching of Indonesian Galena Concentrate With an Iron- and Sulfur-Oxidizing Mixotrophic Bacterium at Room Temperature","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA; Lembaga Penelitian dan Pengabdian Kepada Masyarakat; University of British Columbia; Institut Teknologi Bandung; Agencia Nacional de Investigación e Innovación","keywords":"Bioleaching; Galena; Chemistry; Leaching (pedology); Metallurgy; Sulfur; Sulfide minerals; Lead sulfide; Acidithiobacillus thiooxidans; Oxidizing agent; Nuclear chemistry; Environmental chemistry; Sphalerite; Pyrite; Mineralogy; Materials science; Acidithiobacillus ferrooxidans; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001101779,0.0002095294,0.0003713899,0.00008843713,0.00005290103,0.00001921796,0.0001258547,0.0001950409,0.00001622885],"category_scores_gemma":[0.0000106389,0.0001756418,0.00003193889,0.0001403457,0.00009493728,0.0001374858,0.00003555222,0.000395705,0.000002349389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005273483,"about_ca_system_score_gemma":0.00001344319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000121669,"about_ca_topic_score_gemma":0.00003285538,"domain_scores_codex":[0.9990031,0.0001228875,0.0002667931,0.0002905329,0.00003031998,0.000286415],"domain_scores_gemma":[0.9996725,0.00001442851,0.00006642941,0.0001229192,0.00001420691,0.0001095048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001469956,0.00001211056,0.01444999,0.0001091979,0.00003163921,0.0000139069,0.0005035239,0.0005439161,0.98291,0.00001148857,0.0002514722,0.001015786],"study_design_scores_gemma":[0.006216261,0.001457734,0.02934212,0.0004583684,0.0001314401,0.0005516509,0.003191334,0.01347042,0.9029344,0.00003798032,0.04010513,0.002103194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964266,0.00159856,0.001076557,0.0001508035,0.0004096379,0.000144001,0.00003762644,0.00007709247,0.00007916574],"genre_scores_gemma":[0.9920212,0.0002156758,0.007338512,0.0002113655,0.00007342015,0.000003103551,0.0000924372,0.00002943338,0.00001483749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07997561,"threshold_uncertainty_score":0.7162464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00594493965112282,"score_gpt":0.1772123172755718,"score_spread":0.171267377624449,"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."}}