{"id":"W3042917922","doi":"10.1002/ese3.769","title":"A semi‐analytical model for capturing dynamic behavior of hydraulic fractures during flowback period in tight oil reservoir","year":2020,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Geomechanics; Hydraulic fracturing; Fracture (geology); Mechanics; Geology; Geotechnical engineering; Displacement (psychology); Discontinuity (linguistics); Classification of discontinuities; Petroleum engineering; Materials science; Mathematics","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":[0.0001806499,0.0004659955,0.0003825437,0.0004433951,0.0004462675,0.000632745,0.001054669,0.001269058,0.001620628],"category_scores_gemma":[0.0004094066,0.0004350571,0.0006599595,0.0002933966,0.0005006729,0.000495191,0.0003890175,0.0004698598,0.0001798521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007798872,"about_ca_system_score_gemma":0.0008595642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368966,"about_ca_topic_score_gemma":0.01135609,"domain_scores_codex":[0.9999084,0.00001679961,0.000006546795,0.00002320684,0.00002785368,0.00001703645],"domain_scores_gemma":[0.9998677,0.00005007332,0.00002570258,0.000009635087,0.00003744708,0.00000944126],"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":[0.00001482894,0.00001816322,0.0006365458,0.00002468266,0.000004962233,0.00007778928,0.00003565374,0.9929458,0.002949004,0.0008856673,0.00009967881,0.002307192],"study_design_scores_gemma":[0.000001178923,0.000004581045,0.00008110971,0.000001172196,0.000001212779,0.000004546856,0.000003961412,0.9996248,0.0001321493,0.0000816579,0.00006180596,0.000001661613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4395369,0.0006197522,0.5425493,0.0003811663,0.00007810719,0.0001491008,0.0006863404,0.000898929,0.01510039],"genre_scores_gemma":[0.9877768,0.000181931,0.007446323,0.00002269573,0.000009110934,0.0001139634,0.0001145916,0.00002786816,0.004306858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02368966,"threshold_uncertainty_score":0.04710352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00855915896456266,"score_gpt":0.2297995483578846,"score_spread":0.2212403893933219,"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."}}