{"id":"W1673284070","doi":"10.1029/2002wr001813","title":"Modeling tracer injection and well‐aquifer interactions: A new mathematical and numerical approach","year":2003,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"TRACER; Aquifer; Groundwater; Flow (mathematics); Groundwater flow; Geology; Mechanics; Hydraulic conductivity; Mixing (physics); Soil science; Geotechnical engineering; Physics; Soil water","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008464394,0.0008954347,0.0008098396,0.0009751516,0.0005234071,0.001383009,0.001930808,0.001607039,0.001438837],"category_scores_gemma":[0.00178512,0.0006615994,0.00107051,0.0007581934,0.001126636,0.00225716,0.001088034,0.00110455,0.0003234004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070639,"about_ca_system_score_gemma":0.001735809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005493683,"about_ca_topic_score_gemma":0.00334302,"domain_scores_codex":[0.9996947,0.00007215852,0.00002363444,0.00004744585,0.0001340655,0.00002804647],"domain_scores_gemma":[0.9994541,0.0002921486,0.00007433505,0.00006452818,0.00008778862,0.00002711536],"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":[0.00001177491,0.0000369647,0.0006219382,0.00006609023,0.00002595595,0.00008509167,0.00006276601,0.9253756,0.006235542,0.05525365,0.0002757412,0.01194887],"study_design_scores_gemma":[0.000005154765,0.0000120466,0.00003954477,0.000005247904,0.000005993826,0.00001993293,0.000004702688,0.9916482,0.0007172248,0.005691803,0.001843549,0.00000662562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003680261,0.0001893731,0.9945571,0.0001010512,0.00002959828,0.00002704325,0.00003435524,0.0001384185,0.001242724],"genre_scores_gemma":[0.2509302,0.001820575,0.7387736,0.0001412264,0.0001353257,0.0007385072,0.000186735,0.0001847111,0.007089175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005493683,"threshold_uncertainty_score":0.01092339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05414957246662919,"score_gpt":0.3079646240257477,"score_spread":0.2538150515591185,"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."}}