{"id":"W2806241516","doi":"10.1115/1.4040479","title":"Characterizing the Stimulated Reservoir Volume During Hydraulic Fracturing-Connecting the Pressure Fall-Off Phase to the Geomechanics of Fracturing","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Mechanics","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geomechanics; Hydraulic fracturing; Geology; Biot number; Plasticity; Mechanics; Permeability (electromagnetism); Geotechnical engineering; Hydraulic conductivity; Darcy's law; Shear (geology); Porous medium; Porosity; Petrology; Physics; Thermodynamics; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002088449,0.0004603095,0.0006876985,0.0002879461,0.0008518294,0.0002074935,0.001765457,0.0002472901,0.0001100969],"category_scores_gemma":[0.0002802688,0.0002485011,0.0003917311,0.000756652,0.00004293479,0.0002456271,0.0003542406,0.001570459,0.00003692373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185758,"about_ca_system_score_gemma":0.00005378668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003892559,"about_ca_topic_score_gemma":0.00005119447,"domain_scores_codex":[0.9966986,0.0001041293,0.001227658,0.000315694,0.0009319881,0.0007219765],"domain_scores_gemma":[0.997207,0.0003513746,0.0007957525,0.001083698,0.0003373968,0.0002247827],"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":[0.0003060262,0.00008249547,0.000003141537,0.0001408868,0.001036233,0.00002572895,0.006255823,0.9107709,0.07525548,0.00007854384,0.0004568459,0.005587889],"study_design_scores_gemma":[0.001559179,0.0003132789,0.0001279007,0.0003023399,0.0007376988,0.0001687574,0.00234157,0.6279631,0.2792543,0.0007929764,0.0858933,0.0005456821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269471,0.0008616592,0.06776827,0.002290861,0.001010847,0.0005742769,0.00001642197,0.0001406368,0.00038998],"genre_scores_gemma":[0.9971956,0.000206949,0.0004454631,0.0003907055,0.001567143,0.00001647658,0.000002988079,0.0001189448,0.00005575795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2828079,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282593809277736,"score_gpt":0.2305780007016211,"score_spread":0.2222954068923434,"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."}}