{"id":"W4317735736","doi":"10.1007/s10040-023-02591-z","title":"Using geophysical data to assess groundwater levels and the accuracy of a regional numerical flow model","year":2023,"lang":"en","type":"article","venue":"Hydrogeology Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Hydrogeology; Geology; Ground-penetrating radar; Aquifer; Groundwater flow; Groundwater; Geophysics; Vertical electrical sounding; Borehole; Electrical resistivity tomography; Groundwater model; Hydrology (agriculture); Radar; Geotechnical 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":[0.003000331,0.0004954398,0.0004265785,0.0009565431,0.0002606088,0.001029189,0.0007786353,0.0008791194,0.000423713],"category_scores_gemma":[0.01415444,0.0003059139,0.0005649792,0.0007558434,0.0005741228,0.001423421,0.0005746615,0.0005836238,0.000111026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410212,"about_ca_system_score_gemma":0.001077263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04125123,"about_ca_topic_score_gemma":0.02745356,"domain_scores_codex":[0.9992272,0.0003241904,0.00007002323,0.000171723,0.0001566294,0.00005020027],"domain_scores_gemma":[0.9930164,0.004301456,0.0005599592,0.0009733356,0.001018844,0.0001300744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003417821,0.0001222416,0.07116067,0.00002626851,0.000121696,0.00004490458,0.00008250132,0.9022197,0.005159316,0.001039261,0.0001910303,0.01949071],"study_design_scores_gemma":[0.00002268937,0.00006131467,0.009056663,0.00000574138,0.00002906846,0.000007787625,0.0000243086,0.987906,0.00238678,0.0003673289,0.0001173784,0.00001502377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734461,0.00007107315,0.02478288,0.0001209064,0.00001615051,0.00001537441,0.000349139,0.0002598717,0.0009385383],"genre_scores_gemma":[0.9908218,0.00003087613,0.008736927,0.000009429763,0.000002907704,0.000006625941,0.0002396039,0.00001642028,0.0001353869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04125123,"threshold_uncertainty_score":0.08202225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2768420658365314,"score_gpt":0.38000732544581,"score_spread":0.1031652596092785,"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."}}