{"id":"W4411114766","doi":"10.1016/j.envsoft.2025.106567","title":"Development of an alpine hydrological model considering the recharge of stream water to alluvial plain aquifers","year":2025,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"Science and Technology Plan Projects of Tibet Autonomous Region; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Gansu Province; National Natural Science Foundation of China","keywords":"Groundwater recharge; Aquifer; Hydrology (agriculture); Alluvium; Alluvial plain; Geology; Groundwater; Depression-focused recharge; Alluvial soils; Environmental science; Geomorphology; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004081396,0.0002264196,0.0002757377,0.0000522061,0.0003100633,0.000006647526,0.0003596978,0.00009436115,0.0003074342],"category_scores_gemma":[0.000009155265,0.0001514838,0.00006703567,0.00006502681,0.0003599874,0.0001198108,0.0007657059,0.0001492378,0.0000706899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155985,"about_ca_system_score_gemma":0.000006184015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000318116,"about_ca_topic_score_gemma":0.00002590791,"domain_scores_codex":[0.9984045,0.00005990031,0.000438715,0.0004418684,0.0002719607,0.0003830448],"domain_scores_gemma":[0.9994838,0.00004238539,0.0000686675,0.0003333338,0.000001781129,0.00007004443],"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":[0.000110418,0.0002115533,0.006183352,0.00001476325,0.00007051868,0.000003138528,0.004001874,0.9751047,0.0115966,0.00004778977,0.00006579924,0.002589526],"study_design_scores_gemma":[0.001443968,0.0003626921,0.003764823,0.00008663436,0.0001779626,0.000003435574,0.001194029,0.7547628,0.2264308,0.005937004,0.005014858,0.0008210142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83258,0.00002081367,0.1664495,0.000227077,0.00004827567,0.0003096645,0.00001183696,0.0000344957,0.0003184414],"genre_scores_gemma":[0.9355114,0.00002100034,0.06363259,0.0003983778,0.000007349327,0.00004615902,0.00002713399,0.00001348982,0.000342465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203419,"threshold_uncertainty_score":0.6177329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918405465687967,"score_gpt":0.2233739511092799,"score_spread":0.2041898964524002,"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."}}