{"id":"W2921393817","doi":"10.1016/j.orggeochem.2019.05.002","title":"Empowering conventional Rock-Eval pyrolysis for organic matter characterization of the siderite-rich sediments of Lake Towuti (Indonesia) using End-Member Analysis","year":2019,"lang":"en","type":"article","venue":"Organic Geochemistry","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation of Sri Lanka; Bundesministerium für Forschung und Technologie; Brown University; Deutsche Forschungsgemeinschaft; Genome British Columbia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Siderite; Total organic carbon; Carbonate; Organic matter; Geology; Pyrolysis; Carbonate minerals; Mineralogy; Sedimentary rock; Geochemistry; Environmental chemistry; Pyrite; Chemistry; Calcite","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":[0.000128803,0.000187354,0.0004071827,0.0001236196,0.00005220755,0.00002219438,0.0002335907,0.0001431203,0.007644523],"category_scores_gemma":[0.0000176607,0.0001700729,0.0003239107,0.001033414,0.00002168358,0.0001140221,0.00007333013,0.0001095967,0.00002276157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005834456,"about_ca_system_score_gemma":0.00005070974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003339878,"about_ca_topic_score_gemma":0.00001676259,"domain_scores_codex":[0.9987032,0.00002091761,0.0004938746,0.0002354914,0.0003388873,0.0002075698],"domain_scores_gemma":[0.9991197,0.00002887966,0.0002184206,0.0004271255,0.0001543198,0.00005157062],"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":[0.000007345466,0.00003558841,0.05535327,0.0002168334,0.0009259683,2.360147e-7,0.0001228961,0.01363982,0.9296727,9.047306e-7,0.00001858238,0.000005815854],"study_design_scores_gemma":[0.000419117,0.000005254113,0.01514055,0.00003181088,0.0008109894,0.000002618927,0.0001026721,0.1085375,0.8747025,0.000006772854,0.00006214502,0.0001781162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904159,0.00002434191,0.008879367,0.00007180398,0.0001320391,0.0001571533,0.00008793792,0.00003341858,0.000198094],"genre_scores_gemma":[0.9989365,0.00000712455,0.00007255926,0.00002539645,0.00005070266,0.000008195106,0.0003523456,0.00003725672,0.0005099679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09489764,"threshold_uncertainty_score":0.9932626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008259931742552375,"score_gpt":0.2237916567989103,"score_spread":0.2155317250563579,"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."}}