{"id":"W3003545417","doi":"10.1101/2020.01.31.929786","title":"Metagenomic Insights into Microbial Metabolisms of a Sulfur-Influenced Glacial Ecosystem","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"NASA Astrobiology Institute; Alfred P. Sloan Foundation; Natural Resources Canada; National Aeronautics and Space Administration","keywords":"Metagenomics; Sulfur; Ecosystem; Sulfur metabolism; Ecology; Environmental chemistry; Nitrogen cycle; Sulfur cycle; Biogeochemical cycle; Microbial mat; Extreme environment; Ephemeral key; Microbial population biology; Biology; Chemistry; Bacteria; Nitrogen; Paleontology; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001745014,0.0003144277,0.0002985741,0.001055875,0.0005892802,0.0006761918,0.0001496693,0.0002487418,0.0004812977],"category_scores_gemma":[0.0001839836,0.0001496474,0.0003439719,0.001124048,0.0001813904,0.000285158,0.0003888658,0.0002469316,0.0001281463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005566457,"about_ca_system_score_gemma":0.0007043895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553287,"about_ca_topic_score_gemma":0.0316744,"domain_scores_codex":[0.9998941,0.000006788082,0.00000567946,0.00003700606,0.00002354255,0.0000326768],"domain_scores_gemma":[0.9998991,0.00001077723,0.00002111809,0.00000880903,0.00003282433,0.00002741924],"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":[0.0003227954,0.00004740866,0.1497044,0.000221011,0.0001625549,0.0002599935,0.0005961155,0.001181837,0.8343213,0.0002722649,0.0002399095,0.01267037],"study_design_scores_gemma":[0.000005921846,0.0001264059,0.9676504,0.00003545489,0.0001166954,0.0002316253,0.001383043,0.003242923,0.02270461,0.0002959852,0.004189065,0.00001783715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947803,0.000676815,0.0006775513,0.00005467559,0.000006189139,0.00001178742,0.003178255,0.00002557849,0.0005888537],"genre_scores_gemma":[0.9923903,0.0004666603,0.00180543,0.00005878455,0.000007366449,0.00001136553,0.004655686,0.00001264381,0.0005918216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553287,"threshold_uncertainty_score":0.03088492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206213001978807,"score_gpt":0.2166089419373888,"score_spread":0.2045468119176007,"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."}}