{"id":"W4327860548","doi":"10.2118/212422-ms","title":"Improved Total Organic Carbon (TOC) Prediction for Vaca Muerta Shale","year":2023,"lang":"en","type":"article","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dolomite; Total organic carbon; Sedimentary depositional environment; Geology; Calcite; Oil shale; Mineralogy; Siliciclastic; Carbonate; Ankerite; Petrophysics; Clay minerals; Porosity; Siderite; Environmental chemistry; Chemistry; Geomorphology; Geotechnical engineering; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250664,0.0005653164,0.00031841,0.0008412352,0.0002700401,0.0005987481,0.0003752471,0.0004963994,0.0006340007],"category_scores_gemma":[0.0004397092,0.0001548007,0.0004094295,0.0005063629,0.0001082229,0.000229899,0.0002413388,0.0002021612,0.0002838549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007033056,"about_ca_system_score_gemma":0.0005481014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05739689,"about_ca_topic_score_gemma":0.0675998,"domain_scores_codex":[0.9999255,0.000008489958,0.00000408724,0.00003010744,0.00001867334,0.00001309608],"domain_scores_gemma":[0.9998624,0.00003320154,0.00002107784,0.000009583543,0.0000599208,0.00001373461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004601898,0.0002483709,0.5758271,0.000147327,0.0002028883,0.0004327773,0.0001341097,0.263097,0.06521762,0.000305651,0.000810892,0.09311597],"study_design_scores_gemma":[0.00001194922,0.00005060905,0.1267589,0.000007826647,0.00002712609,0.00002185016,0.00007282881,0.8657038,0.006984935,0.00006532331,0.0002807136,0.00001410825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967363,0.00006471317,0.002489237,0.00003177089,0.000003531967,0.000004728017,0.0002228251,0.0001469713,0.000299725],"genre_scores_gemma":[0.9982213,0.00002006226,0.001239256,0.00000408751,0.000001566836,0.000003273987,0.0002234009,0.000007932124,0.0002790102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05739689,"threshold_uncertainty_score":0.1141256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124340452957813,"score_gpt":0.2124029896938717,"score_spread":0.2011595851642935,"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."}}