{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004504094,0.000540941,0.0005405531,0.0009600034,0.0005474921,0.001148125,0.0009711592,0.001458551,0.001079461],"category_scores_gemma":[0.003441134,0.0006286714,0.0005177704,0.0009498826,0.0015032,0.0009507368,0.0009198933,0.0006222889,0.0001311288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294832,"about_ca_system_score_gemma":0.001101561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626209,"about_ca_topic_score_gemma":0.01248933,"domain_scores_codex":[0.9998692,0.00003673163,0.00000919173,0.00002379427,0.00003028835,0.00003075532],"domain_scores_gemma":[0.9991919,0.0004605904,0.000125269,0.0000369294,0.0001385696,0.00004674243],"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":[0.00001959272,0.0000236228,0.0009988893,0.00002323221,0.000007329059,0.00005174552,0.0000486996,0.9832451,0.0008446313,0.01226804,0.0001884696,0.00228072],"study_design_scores_gemma":[0.000003849223,0.000002938495,0.0001272749,0.00000286425,0.00000149945,0.000006055406,0.00001600808,0.9981675,0.0000956629,0.001494861,0.0000772798,0.000004182342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.632145,0.0009689181,0.342464,0.0008686048,0.00008082927,0.0001049244,0.000590828,0.0003193966,0.02245754],"genre_scores_gemma":[0.9772838,0.0004275672,0.01741361,0.00004312041,0.00002575093,0.00005922043,0.0001524686,0.00006272356,0.004531841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01626209,"threshold_uncertainty_score":0.03233486,"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."}}