{"id":"W2171835073","doi":"10.1007/s11242-012-0039-4","title":"One-Dimensional Matrix-Fracture Transfer in Dual Porosity Systems with Variable Block Size Distribution","year":2012,"lang":"en","type":"article","venue":"Transport in Porous Media","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"CMG Reservoir Simulation Foundation; University of Calgary","keywords":"Compressibility; Matrix (chemical analysis); Block size; Fracture (geology); Porous medium; Mechanics; Compressible flow; Flow (mathematics); Mathematics; Materials science; Porosity; Geology; Geotechnical engineering; Physics; Computer science; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0004533554,0.0002735586,0.0004858365,0.00008221685,0.00004118519,0.0000128115,0.0001033035,0.0002828829,0.0001151616],"category_scores_gemma":[0.00001342434,0.000238901,0.0000669893,0.0004545715,0.00004115139,0.0002340478,0.000003838461,0.0005520032,0.00001590526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744044,"about_ca_system_score_gemma":0.00004691848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545479,"about_ca_topic_score_gemma":0.0009275562,"domain_scores_codex":[0.9981358,0.00004042573,0.0004751452,0.0002361265,0.0004667447,0.0006457244],"domain_scores_gemma":[0.9993355,0.0001326786,0.00002472307,0.0002575118,0.00003098282,0.0002186247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009388461,0.0003050216,0.06632234,0.0002473601,0.0001053252,0.000150999,0.001568865,0.9304762,0.0005433056,0.00003567939,0.0001167567,0.0000342077],"study_design_scores_gemma":[0.003231228,0.00007011739,0.9759316,0.0005580701,0.0003610773,0.0001623259,0.0002960977,0.01084798,0.003290728,0.00003466623,0.004079537,0.00113654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941636,0.001256816,0.003282395,0.00008081621,0.0003428467,0.0002331579,0.0001385544,0.0001816036,0.0003202389],"genre_scores_gemma":[0.9989176,0.00006502448,0.0001892313,0.00002434212,0.0002037768,0.00003313789,0.0004467884,0.00004509123,0.00007497412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9196283,"threshold_uncertainty_score":0.9742101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005959658693988868,"score_gpt":0.1927172456727174,"score_spread":0.1867575869787285,"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."}}