{"id":"W2908575154","doi":"10.1101/518837","title":"Diversity decoupled from sulfur isotope fractionation in a sulfate reducing microbial community","year":2019,"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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Austrian Science Fund; Center for Dark Energy Biosphere Investigations; National Science Foundation","keywords":"Sulfate; Deltaproteobacteria; Sulfur; Environmental chemistry; Isotopes of sulfur; Fractionation; Microbial population biology; Ecology; Isotope fractionation; Sulfur cycle; Biology; Sulfate-reducing bacteria; Microbial ecology; Gammaproteobacteria; Chemistry; 16S ribosomal RNA; Biochemistry; Bacteria; Paleontology; Chromatography","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":[0.0002573465,0.0001265798,0.0001956924,0.0004502959,0.00025094,0.0003831223,0.0001530738,0.0002478836,0.000377778],"category_scores_gemma":[0.0002872569,0.0001460435,0.0001306824,0.000297752,0.0003017137,0.0002274889,0.0002560081,0.0001681431,0.0001116312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820142,"about_ca_system_score_gemma":0.0002217644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633804,"about_ca_topic_score_gemma":0.00146105,"domain_scores_codex":[0.9998351,0.0000298533,0.000008122194,0.00007139456,0.00003148969,0.00002398231],"domain_scores_gemma":[0.9997929,0.00004570309,0.00005833469,0.0000145842,0.00005007683,0.00003854845],"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":[0.0002102321,0.00004503705,0.1242055,0.00004354268,0.00004069783,0.00004087359,0.0002771979,0.0009871508,0.8689858,0.000296859,0.0000497832,0.004817316],"study_design_scores_gemma":[0.00001118642,0.0002792359,0.9642499,0.000007974535,0.00002231697,0.0001393268,0.0003017233,0.006438857,0.02759485,0.0004688882,0.0004750995,0.00001065266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991602,0.00004517917,0.0004533939,0.000009941845,8.634392e-7,0.000002989128,0.00009470995,0.000005161939,0.0002275814],"genre_scores_gemma":[0.9992098,0.00003191333,0.0004268117,0.00001136833,0.000003019257,0.000005085164,0.0001816247,0.000001759502,0.0001286044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001633804,"threshold_uncertainty_score":0.003248632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650257877616463,"score_gpt":0.2124926368605882,"score_spread":0.1959900580844235,"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."}}