{"id":"W7015907433","doi":"","title":"Using Stage Level Microseismic Analysis to Investigate Correlate and Ground Truth Cored Hydraulic Fractures","year":2018,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomembrane Technologies (Canada)","funders":"","keywords":"Microseism; Hydraulic fracturing; Stage (stratigraphy); Fracture (geology); Interval (graph theory); Ground truth","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":[0.0002451181,0.00020203,0.0001565069,0.001779059,0.0002587358,0.0004573163,0.000283007,0.0002236182,0.001062831],"category_scores_gemma":[0.0007142155,0.0001213463,0.0001628502,0.001460927,0.0001496066,0.0003300215,0.0003893117,0.0001967062,0.0003704087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175015,"about_ca_system_score_gemma":0.0004488165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171618,"about_ca_topic_score_gemma":0.04590494,"domain_scores_codex":[0.9997837,0.00001665035,0.00001510248,0.00007211775,0.000074598,0.00003784457],"domain_scores_gemma":[0.9995072,0.00007103488,0.0001280322,0.00007980217,0.0001809973,0.00003292113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001629599,0.0001946424,0.7683012,0.0001106664,0.00009316209,0.0002303551,0.0004969261,0.01441607,0.06163365,0.0009573701,0.003140397,0.1502626],"study_design_scores_gemma":[0.000006040796,0.00006219368,0.9502489,0.00001790425,0.00002004758,0.000111142,0.0004131209,0.03668809,0.008486106,0.0003612529,0.003563808,0.00002139105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481537,0.0001015873,0.04036278,0.00004963932,0.00001994136,0.0000958806,0.006002782,0.0004727707,0.004740938],"genre_scores_gemma":[0.9733752,0.000037109,0.02221666,0.00001533955,0.00001002281,0.00005657124,0.00303214,0.0000423752,0.001214557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171618,"threshold_uncertainty_score":0.023296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803915804685276,"score_gpt":0.242500123361695,"score_spread":0.2244609653148422,"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."}}