{"id":"W4387706252","doi":"10.3897/aca.6.e109203","title":"Identifying Putative Subsurface Microbial Drivers of Methane Flux on Earth and Mars","year":2023,"lang":"en","type":"article","venue":"ARPHA Conference Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University","funders":"Canadian Space Agency; Natural Sciences and Engineering Research Council of Canada; McGill University; Canadian Institute for Advanced Research","keywords":"Methane; Anaerobic oxidation of methane; Archaea; Methanogenesis; Cold seep; Microcosm; Atmospheric methane; Environmental chemistry; Environmental science; Microorganism; Sulfur cycle; Astrobiology; Sulfate; Chemistry; Ecology; Geology; Bacteria; Biology; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003751281,0.0001585822,0.0002049202,0.00006948574,0.00006737471,0.00003184249,0.0001665268,0.00008801486,0.001377764],"category_scores_gemma":[0.00004568469,0.0001409798,0.00004288976,0.0003153569,0.0002731076,0.0001949761,0.0001305313,0.0002021796,0.001491789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002057019,"about_ca_system_score_gemma":0.00001926834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003026088,"about_ca_topic_score_gemma":0.00005169158,"domain_scores_codex":[0.9987594,0.00006591838,0.0002569367,0.0003413833,0.0002637548,0.0003126384],"domain_scores_gemma":[0.9993694,0.0001561162,0.0001601909,0.0001671207,0.0000154842,0.0001317265],"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":[0.000079737,0.00009147911,0.004616546,0.00004512209,0.00009167426,0.00009942437,0.005850225,0.01946244,0.9535198,0.0007970546,0.0005504515,0.01479605],"study_design_scores_gemma":[0.001253483,0.0002883566,0.5301387,0.0001335455,0.00006167918,0.00001445737,0.001778007,0.001030002,0.4582108,0.004517163,0.002049864,0.0005239251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793638,0.00001680271,0.00002302115,0.0001396033,0.0001482396,0.000171773,0.00001767064,0.00004174991,0.02007734],"genre_scores_gemma":[0.995778,0.0001295401,0.0004972139,0.00005485955,0.000009021872,0.000003382749,0.00002541492,0.0000129033,0.003489678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5255222,"threshold_uncertainty_score":0.9995351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008377228095212,"score_gpt":0.2583131604981553,"score_spread":0.2282293882172032,"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."}}