{"id":"W2614890554","doi":"10.15781/t2p55dn87","title":"Computer simulation of mass transport in groundwater : affect of macroscopic heterogeneities in hydraulic conductivity","year":2017,"lang":"en","type":"dissertation","venue":"Texas ScholarWorks (Texas Digital Library)","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic conductivity; Groundwater; Mass transport; Affect (linguistics); Geotechnical engineering; Geology; Petroleum engineering; Environmental science; Hydrology (agriculture); Mechanics; Soil science; Engineering; Physics; Engineering physics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458409,0.0003715503,0.0004306384,0.000449487,0.0004940724,0.0007820317,0.0004829033,0.0008004474,0.000805596],"category_scores_gemma":[0.001988864,0.0002851529,0.000330768,0.0004619646,0.0006983039,0.0005802349,0.0003951911,0.0003422548,0.00008150643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176126,"about_ca_system_score_gemma":0.0009438885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03713886,"about_ca_topic_score_gemma":0.01692634,"domain_scores_codex":[0.999851,0.00005144401,0.000007656487,0.00002499916,0.00003205308,0.00003284504],"domain_scores_gemma":[0.9988346,0.0008671062,0.0000856819,0.00005788549,0.0001175629,0.00003720473],"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":[0.00002149014,0.00001777261,0.002117988,0.000005668994,0.000004800786,0.0000277041,0.00002673823,0.9956274,0.0005662219,0.0006523175,0.00003892676,0.0008930956],"study_design_scores_gemma":[0.000005285997,0.0000121798,0.0002905634,9.855949e-7,0.000002164066,0.000004855864,0.00001274286,0.9991254,0.000315075,0.0001697227,0.0000589272,0.000002169406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723485,0.00006351918,0.02362057,0.0001547867,0.00001159784,0.00003396803,0.0001654328,0.0002041506,0.003397359],"genre_scores_gemma":[0.9948201,0.00005217335,0.004384256,0.00001305418,0.00000247813,0.00002594675,0.00006428659,0.00001452657,0.0006232157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03713886,"threshold_uncertainty_score":0.07384539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152109716777668,"score_gpt":0.2399658000640076,"score_spread":0.2284447028962309,"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."}}