{"id":"W4220765081","doi":"10.2118/208916-ms","title":"Machine Learning Based Integrated Approach to Estimate Total Organic Carbon in Shale Reservoirs – A Case Study from Duvernay Formation, Alberta Canada","year":2022,"lang":"en","type":"article","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil shale; Geology; Sedimentary depositional environment; Total organic carbon; Kerogen; Petroleum engineering; Mineralogy; Source rock; Structural basin; Geomorphology; Paleontology; Chemistry","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":[0.0005236267,0.000621726,0.0003352418,0.001713132,0.0008474834,0.000879763,0.0008558889,0.00055839,0.0004820226],"category_scores_gemma":[0.0006802331,0.000211845,0.000516194,0.001915153,0.0003245652,0.0003000339,0.0003714444,0.0002526924,0.00007926107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006429726,"about_ca_system_score_gemma":0.004527417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8369387,"about_ca_topic_score_gemma":0.8503681,"domain_scores_codex":[0.9997093,0.00003831237,0.00001906647,0.00006063057,0.0001121348,0.00006046461],"domain_scores_gemma":[0.9996117,0.0001024149,0.0000306464,0.00002278816,0.000197074,0.0000354125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002087696,0.0004076254,0.28024,0.0001925176,0.0001537663,0.0028631,0.0006077575,0.6166262,0.01031398,0.001237578,0.001495538,0.08565321],"study_design_scores_gemma":[0.00001056955,0.00004178999,0.04961864,0.00001284267,0.00003910039,0.00006878043,0.0007647698,0.9455553,0.00277012,0.000226791,0.0008720857,0.00001923483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798542,0.0002466194,0.01608638,0.0002319076,0.000007404127,0.0001219973,0.000771498,0.0002711172,0.002408949],"genre_scores_gemma":[0.9835209,0.00009836782,0.01456329,0.00001507031,0.000002770524,0.00002262635,0.0005199159,0.000008995934,0.001248099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1630613,"threshold_uncertainty_score":0.3280432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009453361128220374,"score_gpt":0.2099843520646349,"score_spread":0.2005309909364145,"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."}}