{"id":"W2054767102","doi":"10.1016/j.advwatres.2011.02.012","title":"Matrix–fracture transfer shape factor for modeling flow of a compressible fluid in dual-porosity media","year":2011,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Shape factor; Compressibility; Mechanics; Porous medium; Compressible flow; Materials science; Fluid dynamics; Porosity; Fracture (geology); Flow (mathematics); Geometry; Mathematics; Physics; Composite material","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":[0.000611361,0.0006186294,0.0005313073,0.0006590629,0.0005353895,0.0006475457,0.00126285,0.001960232,0.001480491],"category_scores_gemma":[0.001620105,0.000396957,0.0007829775,0.0005360254,0.0005914338,0.0009753838,0.0005541563,0.0008484049,0.0002898832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008899892,"about_ca_system_score_gemma":0.0009391843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01823821,"about_ca_topic_score_gemma":0.008497708,"domain_scores_codex":[0.9998785,0.0000358832,0.000007310381,0.00001899354,0.00004063672,0.00001861271],"domain_scores_gemma":[0.999534,0.0002246233,0.00004642943,0.00003755401,0.0001174898,0.00003992117],"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":[0.00005279034,0.00006702434,0.0005135809,0.0000205311,0.00001071035,0.00007465533,0.00002643551,0.9842316,0.004407926,0.004378544,0.000179265,0.006036988],"study_design_scores_gemma":[0.000002485542,0.000004409769,0.00002879639,5.828331e-7,8.89206e-7,0.0000034874,0.000002373497,0.9994603,0.0002688501,0.0001738134,0.00005221444,0.000001763851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3813139,0.000510013,0.6077393,0.000432403,0.0001577375,0.0001176229,0.0001796886,0.0007740557,0.008775204],"genre_scores_gemma":[0.9551053,0.000151463,0.04116227,0.00003616772,0.00003084365,0.00006497263,0.00006425568,0.0001121271,0.003272611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01823821,"threshold_uncertainty_score":0.03626412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163880069733584,"score_gpt":0.2326140848133988,"score_spread":0.2162260778400404,"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."}}