{"id":"W2017034463","doi":"10.1016/j.marpetgeo.2014.08.021","title":"Influence of total organic carbon deposition on the inventory of gas hydrate in the Indian continental margins","year":2014,"lang":"en","type":"article","venue":"Marine and Petroleum Geology","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Geology; Total organic carbon; Continental shelf; Continental margin; Structural basin; Diagenesis; Seafloor spreading; Canada Basin; Clathrate hydrate; Organic matter; Geochemistry; Oceanography; Paleontology; Hydrate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002835528,0.000251542,0.0002359445,0.0009691755,0.0004916419,0.0009541602,0.0003657464,0.0002752489,0.000837522],"category_scores_gemma":[0.0006790193,0.0002702683,0.0004392423,0.000970177,0.0007731756,0.0004499341,0.0006490842,0.0002555075,0.0001214748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042062,"about_ca_system_score_gemma":0.0008715101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1042865,"about_ca_topic_score_gemma":0.08813808,"domain_scores_codex":[0.999873,0.00002324371,0.00001377222,0.00003123214,0.00002339626,0.00003531924],"domain_scores_gemma":[0.9994957,0.0001642345,0.00008804347,0.0000402378,0.0001328359,0.00007890217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003903293,0.00002303291,0.9726161,0.00004160825,0.000173089,0.0003415045,0.0003601208,0.003961053,0.01808979,0.0002318118,0.0000756185,0.003695884],"study_design_scores_gemma":[0.000002009587,0.00001081276,0.9983278,0.000001883581,0.00001934468,0.00002858579,0.0001985474,0.0006673517,0.0006093741,0.00002054162,0.0001097551,0.000004071101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992461,0.00006017027,0.00002326872,0.00002171483,0.0000016864,8.537048e-7,0.0001372161,0.000004218854,0.0005048141],"genre_scores_gemma":[0.9997608,0.0000417464,0.00001800224,0.000004001461,0.000001799737,7.980681e-7,0.00008050213,0.000001413903,0.000090907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042865,"threshold_uncertainty_score":0.2073589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003513432914347305,"score_gpt":0.173420094446192,"score_spread":0.1699066615318447,"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."}}