{"id":"W2217739409","doi":"10.1016/j.jhydrol.2015.06.061","title":"Groundwater flow characterization in a fractured bedrock aquifer using active DTS tests in sealed boreholes","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Lawrence Berkeley National Laboratory; Natural Sciences and Engineering Research Council of Canada; University at Buffalo; University of Guelph; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Université Laval","keywords":"Borehole; Wireline; Hydrogeology; Geology; Groundwater flow; Aquifer; Groundwater; Bedrock; Well logging; Petroleum engineering; Petrology; Geotechnical engineering; Soil science; Geomorphology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565611,0.0001121017,0.0002638618,0.0001710948,0.00003517881,0.00001492282,0.0001280311,0.00008932176,0.00009360324],"category_scores_gemma":[0.0000499668,0.00008895061,0.00003736234,0.0001821792,0.00006637106,0.0005202787,0.00008483963,0.0002048775,0.00002444082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272771,"about_ca_system_score_gemma":0.00002327781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001409156,"about_ca_topic_score_gemma":0.0006603758,"domain_scores_codex":[0.9988881,0.0001487181,0.0003810295,0.0001360092,0.000223581,0.0002226127],"domain_scores_gemma":[0.9995791,0.00003128095,0.0002171839,0.00007382692,0.00002918298,0.00006942099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004503705,0.0003594013,0.8903073,0.000005755845,0.00003393733,0.0004055055,0.010623,0.01102134,0.06526626,0.00000316273,0.00008658068,0.02143739],"study_design_scores_gemma":[0.001652542,0.0002249813,0.9847872,0.00001723845,0.00001423475,0.0001941896,0.0001788634,0.007406878,0.001593565,0.0002767624,0.003528994,0.0001246113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957832,0.00003156849,0.002980718,0.0008145359,0.000195695,0.0001079759,0.000001722616,0.000003840029,0.00008074615],"genre_scores_gemma":[0.9990258,0.000008688655,0.0003100453,0.0004549313,0.0000709971,0.000004755023,0.000005500294,0.000008409635,0.0001109048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09447985,"threshold_uncertainty_score":0.3627301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315340611779013,"score_gpt":0.2585897175270521,"score_spread":0.235436311409262,"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."}}