{"id":"W3094851177","doi":"10.1190/tle39110794.1","title":"Case study of hydraulic fracture monitoring using multiwell integrated analysis based on low-frequency DAS data","year":2020,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stornoway Diamond (Canada); Trusted Positioning (Canada)","funders":"","keywords":"Fracture (geology); Offset (computer science); Perpendicular; Geology; Hydraulic fracturing; Data acquisition; Low frequency; Fracture mechanics; Acoustics; Materials science; Geotechnical engineering; Computer science; Composite material; Geometry; Mathematics; Telecommunications","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":[0.0003889945,0.0001443932,0.0002442651,0.0001523537,0.0001935293,0.00004968599,0.000621082,0.00004575507,0.000161163],"category_scores_gemma":[0.0001217516,0.00009424789,0.00005552085,0.0009216628,0.00005610579,0.0001713757,0.00003022669,0.0003066159,0.0000417367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008005893,"about_ca_system_score_gemma":0.00003338743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0312284,"about_ca_topic_score_gemma":0.00007719043,"domain_scores_codex":[0.9988649,0.0001873418,0.0002211014,0.000322421,0.0002251013,0.0001790622],"domain_scores_gemma":[0.9988832,0.0002299199,0.0001267259,0.0006446444,0.00003705265,0.00007846596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001008456,0.0001975522,0.7515969,0.00005638809,0.0003980465,0.001054192,0.01134332,0.2017694,0.0007653651,5.471851e-7,0.00507299,0.02764449],"study_design_scores_gemma":[0.0002120943,0.0001417814,0.002403218,0.00003310092,0.0002829375,0.00001669151,0.003699519,0.9902032,0.002387023,0.000005449353,0.0004825793,0.0001323994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955126,0.00006361688,0.003076943,0.0004686032,0.0001342284,0.0001721953,0.00004561853,0.000112803,0.0004134043],"genre_scores_gemma":[0.9973215,0.000003099618,0.001081085,0.001409292,0.00009408989,3.267265e-7,0.00006793215,0.000005494846,0.0000171592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7884338,"threshold_uncertainty_score":0.9752227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09523906812978651,"score_gpt":0.313837926458338,"score_spread":0.2185988583285515,"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."}}