{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002325706,0.0007612032,0.000623577,0.0002427005,0.0001598136,0.0004499678,0.0002543159,0.0003021591,0.000428108],"category_scores_gemma":[0.0001388258,0.000138729,0.0003993198,0.0003130984,0.0001972777,0.000330336,0.0006105743,0.0003430777,0.00020312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134766,"about_ca_system_score_gemma":0.0002424722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009857687,"about_ca_topic_score_gemma":0.001683296,"domain_scores_codex":[0.999805,0.00002882548,0.00002339261,0.00005252377,0.00005818799,0.00003211436],"domain_scores_gemma":[0.9999475,0.000009609409,0.00001382578,0.000006212412,0.00001300957,0.000009840404],"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":[0.0000477112,0.00002540695,0.0003593986,0.0000698154,0.000005905246,0.00005162427,0.00002681094,0.00006853665,0.9977715,0.00002313027,0.00000930951,0.001540845],"study_design_scores_gemma":[0.00001164949,0.0006577626,0.00622222,0.00002207402,0.00002911185,0.0001761288,0.0001228284,0.0007825734,0.9907225,0.00003487447,0.001208516,0.000009754449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964913,0.0004750372,0.001739156,0.00007330167,0.00001421514,0.00004189828,0.0001873188,0.00002843785,0.0009493711],"genre_scores_gemma":[0.9868953,0.0008908132,0.007060478,0.00006185941,0.000008744802,0.00006206622,0.0008334889,0.00001987211,0.004167468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009857687,"threshold_uncertainty_score":0.00195998,"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."}}