{"id":"W3015845158","doi":"10.1101/2020.04.12.038331","title":"Experimentally-validated correlation analysis reveals new anaerobic methane oxidation partnerships with consortium-level heterogeneity in diazotrophy","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; Office of Science; Joint Genome Institute; Canadian Institute for Advanced Research; U.S. Department of Energy; Gordon and Betty Moore Foundation; Center for Dark Energy Biosphere Investigations; National Science Foundation","keywords":"Deltaproteobacteria; Biology; Anaerobic oxidation of methane; 16S ribosomal RNA; Archaea; Vibrio; Microbiology; Bacteria; Ecology; Gammaproteobacteria; Genetics; Methane","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":[0.0006729452,0.0002083907,0.0002569981,0.0004026243,0.0002731031,0.000481889,0.0001991341,0.0002034082,0.0005247969],"category_scores_gemma":[0.00108273,0.000211661,0.0001778248,0.0003385176,0.0002993868,0.0001540857,0.0005635759,0.0002278818,0.0001357008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321147,"about_ca_system_score_gemma":0.0002870902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221671,"about_ca_topic_score_gemma":0.001901021,"domain_scores_codex":[0.999553,0.00008892937,0.00002517576,0.0001550222,0.0001036735,0.00007417824],"domain_scores_gemma":[0.9993715,0.0001724093,0.0001876477,0.0001052651,0.00009184145,0.00007138738],"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":[0.0001831141,0.00005070407,0.116679,0.00003647796,0.00003799864,0.0000719266,0.00007297968,0.0009248003,0.8785529,0.0001597561,0.00003754871,0.003192826],"study_design_scores_gemma":[0.0000129156,0.000227846,0.7545622,0.000008967549,0.00004478971,0.0002748678,0.0001934667,0.02182484,0.2219111,0.000307266,0.0006156069,0.00001614887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975921,0.000038323,0.001999303,0.000008059934,6.112567e-7,0.00000636212,0.0001140618,0.00002436191,0.0002168921],"genre_scores_gemma":[0.9987965,0.00001235677,0.0009931595,0.00000510351,4.244082e-7,0.00000771758,0.0001221195,0.000003524135,0.00005902145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221671,"threshold_uncertainty_score":0.003558934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364564227651994,"score_gpt":0.2459693472888595,"score_spread":0.2023237050123396,"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."}}