{"id":"W1824614064","doi":"10.1029/2011wr010616","title":"Three‐dimensional transient hydraulic tomography in a highly heterogeneous glaciofluvial aquifer‐aquitard system","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Research Foundation","keywords":"Hydraulic conductivity; Aquifer; Tomography; Permeameter; Slug test; Electrical resistivity tomography; Geology; Geotechnical engineering; Transient (computer programming); Groundwater; Soil science; Engineering; Computer science; Physics; Electrical resistivity and conductivity; Optics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001139494,0.0002226894,0.000263169,0.0003533307,0.0003799207,0.0000675828,0.0005356133,0.0001024207,0.000803368],"category_scores_gemma":[0.000005739411,0.000153153,0.0001250576,0.0004538587,0.0004909445,0.0001645464,0.0005759504,0.0003210102,0.001460033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471439,"about_ca_system_score_gemma":0.000005218244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051117,"about_ca_topic_score_gemma":0.003166027,"domain_scores_codex":[0.9964085,0.0002952486,0.0003873924,0.000628472,0.001283769,0.0009965688],"domain_scores_gemma":[0.9993139,0.0000435017,0.00002525309,0.0003953528,0.00003375332,0.0001882376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002811837,0.002191905,0.6314016,0.0003969972,0.0004252841,0.003263087,0.1927459,0.00138888,0.09216703,0.0003794676,0.004490948,0.06833703],"study_design_scores_gemma":[0.005024893,0.002308598,0.5696412,0.0002946137,0.00006221599,0.0002791894,0.003984719,0.006501789,0.1272621,0.001108903,0.2816424,0.001889383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930474,0.0001273336,0.000251965,0.0001983365,0.0001010969,0.000459266,0.000005445928,0.00007597785,0.005733239],"genre_scores_gemma":[0.998768,0.000003038515,0.0001544332,0.00006449464,0.00005444388,0.0001772351,0.000007486961,0.00002643656,0.0007444325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2771515,"threshold_uncertainty_score":0.9993175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160544995804784,"score_gpt":0.2549700417143465,"score_spread":0.2133645917562987,"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."}}