{"id":"W2900624352","doi":"10.2118/191375-pa","title":"Sampling a Stimulated Rock Volume: An Eagle Ford Example","year":2018,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Eagle; Geology; Borehole; Hydraulic fracturing; Microseism; Volume (thermodynamics); Sampling (signal processing); Petroleum engineering; Fracture (geology); Petrology; Geomorphology; Seismology; Geotechnical engineering; Paleontology; Engineering","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":[0.001098274,0.0003550285,0.0003585466,0.0004091753,0.0001980603,0.0001552391,0.0004056675,0.0001982255,0.001518811],"category_scores_gemma":[0.0003104232,0.0003682662,0.0001418527,0.000784012,0.00002244515,0.0005358128,0.00007426731,0.0003382569,0.0004988755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003010005,"about_ca_system_score_gemma":0.00006116589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332714,"about_ca_topic_score_gemma":0.0001044752,"domain_scores_codex":[0.997518,0.00006869801,0.0005094855,0.0004514919,0.0007938961,0.0006584115],"domain_scores_gemma":[0.9984093,0.00008385356,0.00005587775,0.0007880685,0.0003761499,0.0002867409],"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":[0.000008801178,0.00002159088,0.0001674958,0.00005595163,0.0001257406,0.000002150984,0.0003696264,0.9912109,0.00504966,0.00001135762,0.0004755241,0.002501136],"study_design_scores_gemma":[0.0004895564,0.00008652594,0.002174567,0.00007251727,0.0001065076,0.000006165482,0.0000571722,0.9648625,0.004381223,0.00009819523,0.02723776,0.0004273145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6374769,0.0005948007,0.3580471,0.00008401677,0.0005927359,0.0003855548,0.000008911124,0.00124222,0.001567795],"genre_scores_gemma":[0.9916536,0.0000515283,0.006769547,0.000017605,0.0008552751,0.00006411705,0.0001222652,0.0001258903,0.0003401331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3541768,"threshold_uncertainty_score":0.9998769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774339675688196,"score_gpt":0.2995648531079831,"score_spread":0.2518214563511011,"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."}}