{"id":"W2022682351","doi":"10.2118/136248-ms","title":"Fracture-Based Strategies for Carbonate Reservoir Development","year":2010,"lang":"en","type":"article","venue":"SPE Russian Oil and Gas Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Coring; Geology; Carbonate; Petrophysics; Petroleum engineering; Fracture (geology); Wireline; Reservoir engineering; Petroleum reservoir; Reservoir modeling; Reservoir simulation; Matrix (chemical analysis); Petrology; Porosity; Geotechnical engineering; Drilling; Engineering; Petroleum; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001322159,0.0001535937,0.0001616812,0.00008675484,0.0001450483,0.0001560378,0.00005425101,0.0001258655,0.00005143587],"category_scores_gemma":[0.000008698638,0.0001241619,0.00003534314,0.00005348574,0.00005708985,0.0001380903,0.00001068748,0.0001944237,0.000003978274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009117335,"about_ca_system_score_gemma":0.00006227708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006629374,"about_ca_topic_score_gemma":0.0006182545,"domain_scores_codex":[0.9993449,0.00001036893,0.0001515713,0.0001868138,0.00009461659,0.0002116699],"domain_scores_gemma":[0.9997053,0.00003281146,0.0000242581,0.0001158089,0.00002762136,0.00009424252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000317764,0.0002233193,0.00150743,0.004410026,0.0005745695,0.00006939233,0.007929161,0.1073769,0.04635591,0.02072102,0.00312697,0.8073875],"study_design_scores_gemma":[0.003672044,0.0002290898,0.01261511,0.0007141632,0.0002301568,0.00003318718,0.001668026,0.5543094,0.08002396,0.06436146,0.2800215,0.002121844],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514804,0.0003824512,0.01639661,0.004768145,0.0002228165,0.00008205674,0.00001604142,0.0002414161,0.02641001],"genre_scores_gemma":[0.9974164,0.0002521834,0.00180476,0.0001023018,0.00009461583,0.00003052169,0.00005844235,0.00001453254,0.0002262798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8052657,"threshold_uncertainty_score":0.5063174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134154635821705,"score_gpt":0.2218089966029532,"score_spread":0.2104674502447361,"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."}}