{"id":"W4321996227","doi":"10.5194/egusphere-egu23-10693","title":"Data acquisition and processing of multi-frequency oscillatory hydraulic tomography in a granular aquifer","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Aquifer; Hydraulic conductivity; Slug test; Hydraulic head; Tomography; Geology; Soil science; Geotechnical engineering; Anisotropy; Head (geology); Groundwater; Geomorphology; Physics; Optics","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":[0.000194805,0.0002346275,0.0001952788,0.0005001079,0.0002642152,0.0003072304,0.0003201237,0.0002662917,0.0006030776],"category_scores_gemma":[0.0005132975,0.0001330153,0.0001040696,0.0008349184,0.0003043895,0.0002857192,0.0003646651,0.0001958165,0.0001248999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371164,"about_ca_system_score_gemma":0.0004875215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006299109,"about_ca_topic_score_gemma":0.00856658,"domain_scores_codex":[0.9999115,0.000009952739,0.000005573187,0.00002253175,0.00003406137,0.00001621227],"domain_scores_gemma":[0.9998351,0.00003792586,0.00002253729,0.00002558709,0.00005569464,0.00002316021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001034447,0.0002198236,0.02496901,0.0001711782,0.00002935274,0.001195351,0.0005303275,0.02362672,0.8019359,0.0007633367,0.001562021,0.1439625],"study_design_scores_gemma":[0.0001492181,0.0004855129,0.1462501,0.0000384175,0.00007798468,0.0008409637,0.0007194101,0.5188623,0.3260485,0.00154448,0.004857091,0.0001259811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229416,0.00005370921,0.07357369,0.0001424771,0.00001261783,0.0001136505,0.0009341797,0.0009118479,0.001316159],"genre_scores_gemma":[0.9472794,0.00005105852,0.05156375,0.00004057237,0.000007193704,0.00008811998,0.0005559932,0.00004316337,0.0003707265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006299109,"threshold_uncertainty_score":0.0125249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975333846083228,"score_gpt":0.2782971528794166,"score_spread":0.2285438144185843,"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."}}