{"id":"W3011604184","doi":"10.3389/fmicb.2020.00411","title":"New Insights Into Acidithiobacillus thiooxidans Sulfur Metabolism Through Coupled Gene Expression, Solution Chemistry, Microscopy, and Spectroscopy Analyses","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Ontario Genomics; Polytechnique Montréal; Genome Canada","keywords":"Rhodanese; Sulfur metabolism; Acidithiobacillus thiooxidans; Sulfur; Chemistry; Biochemistry; Tetrathionate; Intracellular; Thiosulfate; Sulfide; Metabolism; Enzyme; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007779169,0.0002896892,0.0004927104,0.00006557196,0.0000926004,0.00003743167,0.000203152,0.000283546,0.00008353699],"category_scores_gemma":[0.00004223958,0.0002611581,0.00007845848,0.0002402435,0.00009144592,0.0001732004,0.00007405813,0.0004208496,0.00001613068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008346616,"about_ca_system_score_gemma":0.00003905377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008453164,"about_ca_topic_score_gemma":0.00002203946,"domain_scores_codex":[0.9987408,0.00007105276,0.0003760639,0.000425817,0.0000509907,0.0003352815],"domain_scores_gemma":[0.9995703,0.00001737108,0.0000760904,0.0001794139,0.00002178473,0.0001351164],"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":[0.00005344339,0.00001103796,0.0001954221,0.00004858275,0.0000636296,0.000007559325,0.001252265,0.0003486596,0.9864485,0.000004690752,0.01126084,0.0003053141],"study_design_scores_gemma":[0.0006645968,0.00002072111,0.0001328072,0.00001966278,0.00003567869,0.0000206844,0.0002503219,0.003137063,0.9643605,0.0001687967,0.03090619,0.0002829333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5638897,0.01833655,0.4158562,0.000271032,0.001083957,0.0001548333,0.00001155532,0.0001675583,0.0002286248],"genre_scores_gemma":[0.7702665,0.003032138,0.225531,0.0004515149,0.0004054986,0.000009798581,0.0001545721,0.00004479702,0.0001042314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063767,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568767928415937,"score_gpt":0.2533903369662957,"score_spread":0.2377026576821363,"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."}}