{"id":"W2508372732","doi":"","title":"Analytical solutions for steady flow in variably anisotropic aquifers characterized using implicit geological models","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aquifer; Geology; Flow (mathematics); Hydrology (agriculture); Geotechnical engineering; Petrology; Geomorphology; Petroleum engineering; Mechanics; Groundwater; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001139933,0.0002450149,0.0004008213,0.0001715835,0.0001130382,0.00006962656,0.0001876102,0.0002337013,0.000002869986],"category_scores_gemma":[0.0006106864,0.0002506846,0.0001053122,0.0002010234,0.00002661372,0.0001982751,0.00004237698,0.0003052427,0.000006952501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169958,"about_ca_system_score_gemma":0.00002132579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002927394,"about_ca_topic_score_gemma":0.00006062648,"domain_scores_codex":[0.9981464,0.00008537641,0.0005663458,0.000302194,0.0001752798,0.000724441],"domain_scores_gemma":[0.9987616,0.0006817665,0.00005925197,0.0002729808,0.00006345915,0.0001609564],"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":[0.00001549638,0.00002328449,0.001341214,0.00006057643,0.00002349268,0.000002623903,0.00006465887,0.9927146,0.004657546,0.0006620217,0.00001578561,0.0004187062],"study_design_scores_gemma":[0.0008420955,0.00003316215,0.01308627,0.00007084485,0.00002572904,0.000005018911,0.00001536415,0.9842523,0.00008373839,0.001051724,0.0002649834,0.0002687441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.701568,0.00002848472,0.2964429,0.0000363867,0.0002055682,0.0001757355,0.000007978401,0.0002493451,0.001285639],"genre_scores_gemma":[0.8918941,0.000009174078,0.107764,0.00002970209,0.0001842957,0.00002656533,0.00002415213,0.0000447832,0.00002318376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1903261,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05297842057043498,"score_gpt":0.2863261431038757,"score_spread":0.2333477225334407,"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."}}