{"id":"W1983553161","doi":"10.1111/j.1745-6584.2002.tb02655.x","title":"Geostatistics and Bayesian Updating for Transmissivity Estimation in a Multiaquifer System in Manitoba, Canada","year":2002,"lang":"en","type":"article","venue":"Ground Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Carleton University","funders":"","keywords":"Aquifer; Variogram; Bayesian probability; Geostatistics; Geology; Aquifer properties; Soil science; Hydrology (agriculture); Statistics; Mathematics; Groundwater; Spatial variability; Geotechnical engineering; Kriging; Groundwater recharge","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000969478,0.0003013004,0.000233195,0.001894731,0.001254942,0.0009278136,0.000924585,0.0002925567,0.0008824579],"category_scores_gemma":[0.003843111,0.0002762848,0.0002842677,0.002632226,0.0006845187,0.000310585,0.0005398238,0.0003686355,0.00008148085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02362162,"about_ca_system_score_gemma":0.02273362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929374,"about_ca_topic_score_gemma":0.9949284,"domain_scores_codex":[0.9995818,0.00008782094,0.00002702954,0.00008408086,0.0001446778,0.00007464214],"domain_scores_gemma":[0.9985424,0.0003678878,0.0001322369,0.00005363899,0.0008031053,0.0001006911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001342015,0.00009715626,0.6666992,0.00007631259,0.0001389167,0.0004493252,0.00116235,0.2242537,0.002483055,0.004953075,0.002820802,0.09673182],"study_design_scores_gemma":[0.00002814526,0.00002766122,0.3128816,0.00002578191,0.00004418724,0.000061795,0.001573125,0.6798878,0.001031322,0.001483358,0.002900167,0.00005508167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831989,0.0002095433,0.0132177,0.000388749,0.000007883249,0.00008144492,0.0008282175,0.0001952373,0.001872338],"genre_scores_gemma":[0.9797487,0.0001263348,0.01794467,0.00003303142,0.000003168091,0.00002499878,0.000628397,0.00002142482,0.00146934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02362162,"threshold_uncertainty_score":0.1713877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303346560959064,"score_gpt":0.1929237709316716,"score_spread":0.179890305322081,"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."}}