{"id":"W2054961538","doi":"10.1016/j.jhydrol.2008.11.023","title":"An approach for predicting groundwater recharge in mountainous watersheds","year":2008,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Simon Fraser University","funders":"Natural Resources Canada; Canadian Water Network","keywords":"Groundwater recharge; Hydrology (agriculture); Groundwater; Geology; Aquifer; Depression-focused recharge; Snowmelt; Groundwater flow; MODFLOW; Groundwater model; Evapotranspiration; Watershed; Streamflow; Drainage basin; Geomorphology; Geography; Snow","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003869252,0.0004209073,0.0005105413,0.001097675,0.0006079447,0.0009376911,0.0007189412,0.0007312776,0.0008200841],"category_scores_gemma":[0.000968188,0.0003455738,0.0005544468,0.001157774,0.0002621751,0.0005053479,0.0004676532,0.0003760208,0.00009782645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039296,"about_ca_system_score_gemma":0.001197634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08335976,"about_ca_topic_score_gemma":0.08553237,"domain_scores_codex":[0.9999046,0.00002232584,0.000009025147,0.0000288868,0.00002008659,0.00001496628],"domain_scores_gemma":[0.9997975,0.0001048237,0.00002331575,0.00001125668,0.00004262186,0.00002042209],"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":[0.00007955714,0.0001176874,0.03802885,0.00002865341,0.0000962034,0.0001120382,0.00008844637,0.9198205,0.00176755,0.001181023,0.0003280165,0.03835144],"study_design_scores_gemma":[0.000006351731,0.00001533889,0.002835781,0.000001800107,0.00001103748,0.000008934938,0.00002826862,0.9962082,0.0002152248,0.0005500298,0.0001146082,0.000004317437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616232,0.0002060661,0.1341614,0.000211192,0.0000206056,0.0001007672,0.0008888379,0.0006585663,0.00212936],"genre_scores_gemma":[0.9579164,0.00009015729,0.04098539,0.00001454196,0.00001221285,0.0000317437,0.0002965538,0.00001454224,0.0006384297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08335976,"threshold_uncertainty_score":0.1657491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979201622040741,"score_gpt":0.2219955489573951,"score_spread":0.2022035327369877,"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."}}