{"id":"W4362733429","doi":"10.1038/s41467-023-37426-8","title":"O2 partitioning of sulfur oxidizing bacteria drives acidity and thiosulfate distributions in mining waters","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Glencore (Canada); Muscular Dystrophy Canada; McMaster University; University of Toronto","funders":"Genome Canada","keywords":"Sulfur; Thiosulfate; Anoxic waters; Environmental chemistry; Tailings; Thiobacillus; Oxidizing agent; Metagenomics; Sulfur cycle; Chemistry; Tetrathionate; Cycling; Environmental science; Gene; Biochemistry","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":[0.000153315,0.0002553526,0.0002767483,0.0005181241,0.0003233649,0.0005527273,0.0002137084,0.0003699605,0.0005579194],"category_scores_gemma":[0.0002226043,0.0001914589,0.0002991328,0.0004372854,0.0002868437,0.0003447999,0.0004098676,0.0002928522,0.000126975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004340885,"about_ca_system_score_gemma":0.0003151691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050803,"about_ca_topic_score_gemma":0.009436535,"domain_scores_codex":[0.9998455,0.000009684656,0.000006906634,0.00006791965,0.00003676184,0.00003325295],"domain_scores_gemma":[0.9998366,0.00001712038,0.0000556601,0.000008308376,0.00005290761,0.00002936017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002186581,0.00005604798,0.2185316,0.00004515869,0.00003782193,0.0001169388,0.0002713366,0.0008340925,0.7750217,0.0000573455,0.000104409,0.004704873],"study_design_scores_gemma":[0.000007775712,0.0002735893,0.8893793,0.00001275252,0.00004232804,0.0001008547,0.001252221,0.008829571,0.09880067,0.0001417692,0.001135488,0.00002363239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994319,0.00004128077,0.000142764,0.0000166289,0.000001580727,0.000002650933,0.000185152,0.000009271761,0.0001688729],"genre_scores_gemma":[0.9991266,0.00004957916,0.0002838188,0.0000177095,0.000001969881,0.000005509862,0.0002863526,0.000004650525,0.0002238472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050803,"threshold_uncertainty_score":0.02089375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822887302011368,"score_gpt":0.2819180497182019,"score_spread":0.2636891766980882,"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."}}