{"id":"W2013055830","doi":"10.1016/j.orggeochem.2008.03.002","title":"Stable carbon isotope fractionation between substrates and products of Methanosarcina barkeri","year":2008,"lang":"en","type":"article","venue":"Organic Geochemistry","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Ames Research Center; National Science Foundation","keywords":"Methanosarcina barkeri; Methanogenesis; Fractionation; Substrate (aquarium); Biomass (ecology); Isotopes of carbon; Autotroph; Carbon fibers; δ13C; Methane; Isotope fractionation; Methanomicrobiales; Environmental chemistry; Chemistry; Stable isotope ratio; Methanosarcina; Biology; Organic chemistry; Total organic carbon; Ecology; Bacteria; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001496676,0.0001131881,0.0001510879,0.00001311373,0.00007493735,0.000005354466,0.00009778028,0.0001011094,0.002100766],"category_scores_gemma":[0.00008183047,0.0001037703,0.00001603157,0.0002354281,0.0001322026,0.0000806442,0.00007760747,0.0001434965,0.00002178012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004335882,"about_ca_system_score_gemma":0.00002518463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038952,"about_ca_topic_score_gemma":0.000001994103,"domain_scores_codex":[0.9991542,0.00002182841,0.0001848528,0.0002704229,0.0002009501,0.000167707],"domain_scores_gemma":[0.9995565,0.00004551073,0.0001083526,0.0002004672,0.00001861003,0.00007051664],"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":[0.000004994935,0.00002968054,0.1244831,0.00003385976,0.00001682707,0.000002757872,0.0002160157,0.00001489041,0.8749084,0.000002946823,0.0001206741,0.0001657765],"study_design_scores_gemma":[0.0001391799,0.00002054331,0.08303434,0.000009270699,0.00002090099,0.00002183658,0.00006889846,0.00006376102,0.9156078,0.0004429465,0.0004515281,0.0001190137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868423,0.0002943574,0.00001278689,0.000159813,0.00003429181,0.00008882963,0.000005575056,0.0000188637,0.01254322],"genre_scores_gemma":[0.9975726,0.0001685641,0.0006147464,0.00000801343,0.0000455173,0.000003227819,0.00002205126,0.00001151553,0.00155375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0414488,"threshold_uncertainty_score":0.9988114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082244727049378,"score_gpt":0.1963242741955363,"score_spread":0.1855018269250425,"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."}}