{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003283353,0.0005733135,0.0004982793,0.0003848836,0.0002339018,0.0006381524,0.0003108019,0.0005592377,0.0005668798],"category_scores_gemma":[0.0002147739,0.0002633204,0.0005607172,0.0003480607,0.0003177232,0.0008474604,0.0005915051,0.0006632168,0.0001722475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005899067,"about_ca_system_score_gemma":0.0004455683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709318,"about_ca_topic_score_gemma":0.002271479,"domain_scores_codex":[0.9998342,0.00001998911,0.00001113033,0.00004580058,0.00006888825,0.00002007617],"domain_scores_gemma":[0.9999021,0.00002262723,0.00002046531,0.00001326401,0.00002788723,0.00001352647],"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":[0.00002643047,0.00001663092,0.0005120496,0.000057432,0.000007148873,0.0000248199,0.0000221484,0.0007650172,0.9954858,0.0004355648,0.00005114166,0.002595813],"study_design_scores_gemma":[0.0000124849,0.0001857969,0.008787598,0.00002525702,0.00004701729,0.0001555932,0.0002620456,0.06821807,0.9115689,0.003599353,0.007097006,0.00004081658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798716,0.003403805,0.1097195,0.0009719053,0.00009929579,0.00007092528,0.001674813,0.001198736,0.002989281],"genre_scores_gemma":[0.8918549,0.00358277,0.1006474,0.0002302163,0.00005680598,0.00010105,0.001528432,0.000142929,0.00185552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001709318,"threshold_uncertainty_score":0.00428009,"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."}}