{"id":"W2007902287","doi":"10.1038/ngeo588","title":"Insights into deep carbon derived from noble gases","year":2009,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Science and Technology Facilities Council; Natural Environment Research Council; Sight Research UK","keywords":"Earth science; Carbon cycle; Fossil fuel; Groundwater; Carbon fibers; Atmospheric carbon cycle; Carbon dioxide; Environmental science; Carbon sequestration; Geology; Chemistry; Materials science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001000029,0.0001713714,0.0001489087,0.00004173546,0.0002157579,0.00004654822,0.0005117909,0.0002451917,0.0004926565],"category_scores_gemma":[0.00006913404,0.0001262869,0.00004387977,0.0006104655,0.000210973,0.0002152662,0.0001206904,0.0004887719,0.0001975512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009585614,"about_ca_system_score_gemma":0.0000146795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101799,"about_ca_topic_score_gemma":0.000273875,"domain_scores_codex":[0.9984463,0.00004637676,0.0001652169,0.0005395258,0.0004699043,0.0003327173],"domain_scores_gemma":[0.9993395,0.00005008046,0.00007501676,0.0003426396,0.00001021039,0.0001825134],"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":[0.00003993019,0.0002415612,0.01298015,0.000003768411,0.00001046933,0.00007913008,0.003471231,0.002879273,0.9582537,0.0006759209,0.0004034346,0.02096144],"study_design_scores_gemma":[0.001282682,0.0006300791,0.715754,0.00008254399,0.0000659527,0.00001722961,0.0003798569,0.04980235,0.09345793,0.101199,0.03577334,0.001554977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792765,0.001796533,0.0002634339,0.0005048724,0.0004272429,0.0001256513,0.000001096977,0.00006132897,0.01754338],"genre_scores_gemma":[0.9926978,0.00009213683,0.005018994,0.001685685,0.00007049772,0.000003211017,0.000006902971,0.000006332171,0.000418493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647957,"threshold_uncertainty_score":0.5394243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004171319586593399,"score_gpt":0.2095851120615426,"score_spread":0.2054137924749492,"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."}}