{"id":"W2973929464","doi":"10.2118/195957-ms","title":"Examining Hydraulic Fracture Characteristics Based on Induced Microseismicity: A Barnett Shale Case Study","year":2019,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Hydraulic fracturing; Geology; Fracture (geology); Induced seismicity; Geotechnical engineering; Front (military); Mechanics; Petrology; Seismology","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":[0.0006629425,0.0003185552,0.000294228,0.002181132,0.0003894214,0.0006394589,0.0004737127,0.0008401629,0.0007692218],"category_scores_gemma":[0.001482252,0.0002412708,0.0004544365,0.00144198,0.0007077078,0.0004334497,0.0004624581,0.000356037,0.0001081872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007975993,"about_ca_system_score_gemma":0.0004629468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939485,"about_ca_topic_score_gemma":0.07093928,"domain_scores_codex":[0.9997825,0.00003687694,0.00001560194,0.00005011205,0.00006625334,0.00004860492],"domain_scores_gemma":[0.998975,0.0005461304,0.0001283546,0.00007312016,0.0002014735,0.00007586049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003553534,0.0007468032,0.5088686,0.0002272535,0.0002195271,0.008524309,0.0006578527,0.436234,0.01453634,0.001753442,0.0009994761,0.02687705],"study_design_scores_gemma":[0.00002889819,0.0001796792,0.3219099,0.00003077892,0.00006107463,0.0006557819,0.001199455,0.6684557,0.005427269,0.0007467298,0.001248147,0.00005672373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982048,0.00003630418,0.001041604,0.0000222917,0.000001646369,0.00001385002,0.0003382596,0.00001532877,0.0003257756],"genre_scores_gemma":[0.9977475,0.00003652664,0.001515002,0.000003754963,0.000002520191,0.000007569862,0.0004652562,0.000006101134,0.0002157736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02939485,"threshold_uncertainty_score":0.05844754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037592371299916,"score_gpt":0.2446932825475296,"score_spread":0.2243173588345305,"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."}}