{"id":"W4200569781","doi":"10.24850/j-tyca-2022-02-07","title":"Estimación de la distribución espacio temporal de la recarga de agua subterránea en regiones húmedas con clima tropical","year":2021,"lang":"es","type":"article","venue":"Tecnología y Ciencias del Agua","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Groundwater recharge; Aquifer; Groundwater; Precipitation; Hydrology (agriculture); Water balance; Environmental science; Spatial variability; Structural basin; Geology; Geography; Geomorphology; Mathematics","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":[0.0004276549,0.0001994182,0.0001450837,0.001107635,0.0001370659,0.0004238696,0.0001842901,0.0001998227,0.0005730385],"category_scores_gemma":[0.0008856623,0.00009740885,0.0003208894,0.001098471,0.0001568627,0.0002524107,0.0001909697,0.0001234879,0.0001307248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006362473,"about_ca_system_score_gemma":0.0002937969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1439282,"about_ca_topic_score_gemma":0.1604978,"domain_scores_codex":[0.9998926,0.00001660677,0.000009207685,0.00004239767,0.00001854391,0.00002067669],"domain_scores_gemma":[0.9994693,0.0001391268,0.0002022124,0.00003861559,0.0001198116,0.00003092947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001165147,0.00001771743,0.9825515,0.00004254108,0.0001066452,0.00008479902,0.0003363573,0.002022261,0.001576415,0.0001297976,0.000357797,0.01265763],"study_design_scores_gemma":[0.000002659184,0.00001193605,0.9949333,0.000007959347,0.00002144898,0.00003913463,0.0002035207,0.003703405,0.000184474,0.00003197547,0.0008558573,0.000004318656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996111,0.0002842585,0.0004431546,0.0000450148,0.000004304481,0.000005138016,0.002023527,0.00004376228,0.001039811],"genre_scores_gemma":[0.9972259,0.000194125,0.0007089527,0.000005210574,0.000007707503,0.00001133423,0.001393691,0.000005389404,0.0004476968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1439282,"threshold_uncertainty_score":0.286181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001747602668443,"score_gpt":0.2552836876950847,"score_spread":0.2452662116684003,"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."}}