{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001343869,0.0000886985,0.000110282,0.00002543426,0.00008817882,0.00003297029,0.00004603519,0.00002645641,0.0000585154],"category_scores_gemma":[0.000006958741,0.00006907974,0.000008988034,0.00004318308,0.00002799032,0.0001496704,0.00002689852,0.0000443027,0.00000981567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166721,"about_ca_system_score_gemma":0.000003030732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3794546,"about_ca_topic_score_gemma":0.8122811,"domain_scores_codex":[0.9992787,0.00002849358,0.000184682,0.0001758874,0.0001180195,0.0002142102],"domain_scores_gemma":[0.9998437,0.00003962593,0.0000189505,0.00006107978,0.000004656539,0.0000319666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004689573,0.0001648363,0.606733,0.0004709718,0.00002861093,0.000136278,0.01400553,0.002393998,0.0016784,0.000681344,0.001450801,0.3722093],"study_design_scores_gemma":[0.001553994,0.00004187192,0.597295,0.00005797796,0.00001599685,0.00001614132,0.002794256,0.3917767,0.0005012146,0.0001614401,0.005448973,0.0003364704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398738,0.00001582151,0.05920801,0.0002152347,0.00006339221,0.0002740253,0.00001185922,0.000009765231,0.0003281588],"genre_scores_gemma":[0.9975776,0.000001480193,0.001898,0.00007643714,0.000007760507,0.00006080944,0.00001253544,0.000006778755,0.0003586153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4328265,"threshold_uncertainty_score":0.6246777,"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."}}