{"id":"W2364909090","doi":"","title":"Multiple fracturing of horizontal well in shale gas productivity factors numerical simulation researching","year":2013,"lang":"en","type":"article","venue":"Petrochemical Industry Application","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Directional drilling; Oil shale; Tight gas; Natural gas; Geology; Hydraulic fracturing; Shale gas; Coalbed methane; Fracture (geology); Permeability (electromagnetism); Drilling; Geotechnical engineering; Engineering; Coal; Waste management; Mechanical engineering","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":[0.0002332057,0.0003877274,0.000366538,0.0006464294,0.0005013279,0.0006740171,0.0004306299,0.0007924326,0.002733581],"category_scores_gemma":[0.001029227,0.0002661983,0.0006480903,0.0005052157,0.0005152618,0.0006783317,0.0003956862,0.0003727043,0.0001756096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901645,"about_ca_system_score_gemma":0.00104341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03200777,"about_ca_topic_score_gemma":0.01383026,"domain_scores_codex":[0.9998708,0.0000266195,0.000007466161,0.00002595331,0.00003720024,0.00003192342],"domain_scores_gemma":[0.9996963,0.0001613559,0.00004224027,0.00001366954,0.00006529647,0.00002127297],"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":[0.00001991067,0.00002318791,0.003616185,0.0000385921,0.000007820492,0.00008592297,0.00004347273,0.9880757,0.001904919,0.003012173,0.0002015753,0.002970581],"study_design_scores_gemma":[0.00000238,0.000003542525,0.0002632769,0.000002509979,0.000001627635,0.000007197999,0.00001134794,0.9990885,0.000251634,0.0002420466,0.0001233463,0.000002558522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708597,0.0005820476,0.2020543,0.0004898101,0.00009279649,0.00007122014,0.0006323836,0.000478244,0.02473956],"genre_scores_gemma":[0.9896006,0.0001786619,0.00726625,0.00001454147,0.00000726212,0.00003763091,0.0001050513,0.0000295785,0.002760382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03200777,"threshold_uncertainty_score":0.06364298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193610161478217,"score_gpt":0.2496528504358588,"score_spread":0.2377167488210766,"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."}}