{"id":"W4392760183","doi":"10.5194/egusphere-egu24-15146","title":"Extraction of recharge in variably saturated subsurface flow models","year":2024,"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":"Université Laval","funders":"","keywords":"Groundwater recharge; Flow (mathematics); Extraction (chemistry); Hydrology (agriculture); Geology; Environmental science; Soil science; Geotechnical engineering; Petroleum engineering; Groundwater; Aquifer; Mathematics; Chemistry; Geometry","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":[0.0006461269,0.0004001151,0.0004551933,0.0006417903,0.0002279864,0.0007155986,0.0008418086,0.000652098,0.001587865],"category_scores_gemma":[0.002707472,0.0002434282,0.0008393256,0.0008838418,0.0005148619,0.001223768,0.0009346459,0.0004804923,0.0001561423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562701,"about_ca_system_score_gemma":0.0008134468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419216,"about_ca_topic_score_gemma":0.01218898,"domain_scores_codex":[0.9997725,0.00009064766,0.000020958,0.00002648653,0.00006408338,0.0000252504],"domain_scores_gemma":[0.9992421,0.0005198586,0.00006553806,0.00006467779,0.00008909012,0.00001880304],"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":[0.00003374331,0.00001121935,0.002014241,0.00002352656,0.00001214469,0.0000357825,0.00004734952,0.9764129,0.001980677,0.01136917,0.0001828565,0.007876531],"study_design_scores_gemma":[0.000002190568,0.000006454085,0.0001549518,0.000003087338,0.000002004854,0.000004824335,0.000009918926,0.9960794,0.0007340367,0.002697205,0.0003022772,0.000003658405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2949172,0.0002050146,0.6928619,0.0002968246,0.00002177111,0.00007612508,0.00128167,0.001028943,0.009310652],"genre_scores_gemma":[0.9382945,0.0001424916,0.05895492,0.00003983,0.000004485595,0.00007524221,0.000596398,0.00007993589,0.001812209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01419216,"threshold_uncertainty_score":0.0282191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424181506360036,"score_gpt":0.2561793749112374,"score_spread":0.2319375598476371,"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."}}