{"id":"W3037251218","doi":"","title":"Hydraulic tomography offers improved imaging of heterogeneity in fractured rocks","year":2013,"lang":"en","type":"article","venue":"AGUFM","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Borehole; Geology; Hydraulic conductivity; Tomography; Kriging; Aquifer; Electrical resistivity tomography; Groundwater flow; Groundwater; Soil science; Geotechnical engineering; Computer science; Machine learning; Engineering; Electrical resistivity and conductivity","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":[0.0002431204,0.0002030565,0.0001384484,0.0008795337,0.00009032715,0.0003950706,0.0001919368,0.0003221805,0.001093743],"category_scores_gemma":[0.0006647001,0.0002042413,0.0001133952,0.0005861176,0.0003603357,0.00113333,0.0004288417,0.0002914493,0.0001304334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002599497,"about_ca_system_score_gemma":0.0001759649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189846,"about_ca_topic_score_gemma":0.002136792,"domain_scores_codex":[0.9999191,0.00002023411,0.000003605454,0.00001699083,0.00002637853,0.00001374538],"domain_scores_gemma":[0.9997225,0.0001524626,0.00005800507,0.00002340831,0.00003072466,0.00001277172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003309776,0.00003349373,0.04677471,0.0005265684,0.00007160207,0.001248918,0.0002932867,0.03772427,0.6676843,0.0140067,0.002745095,0.2285601],"study_design_scores_gemma":[0.0001049839,0.0004118836,0.202099,0.0002665864,0.0002017749,0.008595758,0.0007089891,0.3097142,0.3909771,0.03927895,0.04735818,0.0002826669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6259229,0.008085189,0.3473301,0.002243666,0.00006043287,0.00003618578,0.001114807,0.001412885,0.01379395],"genre_scores_gemma":[0.9335883,0.002238055,0.06279646,0.0001557959,0.00006350272,0.00001685721,0.0001673976,0.00005173672,0.0009218873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001189846,"threshold_uncertainty_score":0.00365895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005560474643213048,"score_gpt":0.2043438023792949,"score_spread":0.1987833277360819,"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."}}