{"id":"W2969096120","doi":"10.1190/segam2019-3213956.1","title":"Estimating permeability from hydraulic fracturing induced microseismicity","year":2019,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microseism; Hydraulic fracturing; Geology; Permeability (electromagnetism); Geomechanics; Front (military); Pore water pressure; Petroleum engineering; Petrology; Geotechnical engineering; Seismology; Chemistry","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":[0.0001440218,0.000170952,0.0001733399,0.001332335,0.0001299281,0.0002748223,0.0001599415,0.0002970126,0.001194543],"category_scores_gemma":[0.001695823,0.0001536693,0.0001417524,0.000616861,0.000134658,0.0006166033,0.0003412246,0.0002358368,0.0002748469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972852,"about_ca_system_score_gemma":0.0001165331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069448,"about_ca_topic_score_gemma":0.001572506,"domain_scores_codex":[0.9999321,0.00000772923,0.000004692075,0.00001290259,0.00002372083,0.00001891428],"domain_scores_gemma":[0.9994571,0.0002868175,0.0001099762,0.00003604608,0.00007661319,0.00003350143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008857839,0.0001272735,0.2146376,0.0003752781,0.000101595,0.00106222,0.0004673455,0.1334758,0.4805544,0.002219448,0.001610568,0.1644828],"study_design_scores_gemma":[0.00002745908,0.0001871426,0.4185787,0.00003334773,0.00004894074,0.00058223,0.0002827027,0.4392194,0.1372753,0.002125207,0.001579818,0.00005969686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487564,0.0001877735,0.04727342,0.00005816613,0.0000171652,0.00003587416,0.0005804389,0.0004647488,0.002626013],"genre_scores_gemma":[0.9961156,0.00005014982,0.003428053,0.000003047729,0.000003467344,0.000006769993,0.0001433657,0.00001832419,0.0002312998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001332335,"threshold_uncertainty_score":0.003996134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007751195491339663,"score_gpt":0.2142905506638292,"score_spread":0.2065393551724895,"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."}}