{"id":"W2029966205","doi":"10.1016/j.palaeo.2013.01.012","title":"Methane-derived authigenic carbonates from modern and paleoseeps on the Cascadia margin: Mechanisms of formation and diagenetic signals","year":2013,"lang":"en","type":"article","venue":"Palaeogeography Palaeoclimatology Palaeoecology","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"National Science Foundation of Sri Lanka; Oak Ridge Institute for Science and Education; U.S. Department of Energy; National Energy Technology Laboratory; National Science Foundation","keywords":"Authigenic; Geology; Diagenesis; Aragonite; Calcite; Carbonate; Petrography; Geochemistry; Recrystallization (geology); Anaerobic oxidation of methane; Mineralogy; Carbonate minerals; Methane; Paleontology; Chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006037641,0.0004980811,0.0007665788,0.0002407825,0.0002850962,0.00003813659,0.0003985226,0.0005144514,0.003101662],"category_scores_gemma":[0.0001024629,0.000351998,0.0001764761,0.0004048919,0.001299488,0.0001724401,0.0003821597,0.0004592733,0.0002090236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002258068,"about_ca_system_score_gemma":0.00001319806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006658881,"about_ca_topic_score_gemma":0.0003721303,"domain_scores_codex":[0.9965221,0.0008449571,0.000751294,0.0007884173,0.0003015656,0.0007916998],"domain_scores_gemma":[0.9968675,0.001832023,0.0004698,0.0005298757,0.00003897684,0.0002618704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009619781,0.0002300812,0.8492548,0.00007849978,0.0005435622,0.00003905884,0.00305592,0.0005718075,0.134181,0.003745501,0.0001867091,0.008016807],"study_design_scores_gemma":[0.001637668,0.000676382,0.716373,0.00004599377,0.0003349793,0.0001299086,0.0008219539,0.01732851,0.02238555,0.2393678,0.0001285923,0.0007696835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930668,0.001604163,0.0005262734,0.001613821,0.0002696944,0.00116432,0.00004087825,0.00006486089,0.001649222],"genre_scores_gemma":[0.996202,0.001355898,0.001254231,0.0006726774,0.00001757193,0.0003872664,0.00004090343,0.00004075228,0.000028679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2356223,"threshold_uncertainty_score":0.9998932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748810629973243,"score_gpt":0.1908998606727882,"score_spread":0.1834117543730558,"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."}}