{"id":"W3215009118","doi":"10.1101/2021.11.30.467465","title":"Microbial cysteine degradation is a source of hydrogen sulfide in oxic freshwater lakes","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Great Lakes Bioenergy Research Center; National Institute of Food and Agriculture; Joint Genome Institute; University of Wisconsin-Madison; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Gammaproteobacteria; Bacteroidetes; Metagenomics; Proteobacteria; Biology; Stenotrophomonas; Actinobacteria; Cysteine; Sulfur; Biogeochemical cycle; Environmental chemistry; Chemistry; Ecology; Biochemistry; Gene; 16S ribosomal RNA","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":[0.0001876374,0.0003750281,0.0003343321,0.000714268,0.000427692,0.0006364544,0.0001655135,0.0002733162,0.0003235725],"category_scores_gemma":[0.0002526079,0.0001715194,0.0002160606,0.0009131835,0.0002609596,0.0003072148,0.0005552857,0.0001774644,0.00006135641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751812,"about_ca_system_score_gemma":0.0004117262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009747457,"about_ca_topic_score_gemma":0.0135638,"domain_scores_codex":[0.9997935,0.00001850568,0.00002102635,0.00006098292,0.00007013204,0.00003596651],"domain_scores_gemma":[0.9997908,0.00001697288,0.00008393444,0.000007324093,0.0000692328,0.00003172195],"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":[0.0002866336,0.00003271217,0.1172418,0.0001377381,0.00004468214,0.0001827948,0.0003563646,0.0002266923,0.877933,0.00003226539,0.00007256334,0.003452712],"study_design_scores_gemma":[0.000007709035,0.0002264057,0.9077262,0.00001429459,0.00005740056,0.0001336122,0.0007815395,0.001052653,0.08891923,0.00005433705,0.001008186,0.00001849198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991181,0.000133512,0.0001549112,0.00001723448,0.000001731754,0.000007391823,0.0003360309,0.0000075262,0.0002234428],"genre_scores_gemma":[0.9986315,0.0001474486,0.0005016018,0.0000212657,0.000002750651,0.00001098784,0.0004436918,0.000003157378,0.0002374953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009747457,"threshold_uncertainty_score":0.0193814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006293509000536,"score_gpt":0.1979823152126153,"score_spread":0.1879193801226099,"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."}}