{"id":"W2262397084","doi":"10.1002/hyp.10754","title":"Time scale effect and uncertainty in reconstruction of paleo‐hydrology","year":2015,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Streamflow; Tributary; Hydrology (agriculture); Environmental science; Drainage basin; Hydrological modelling; Water resources; Scale (ratio); Climatology; Dendrochronology; Climate change; Catchment hydrology; Geology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00627102,0.0002442074,0.0002877081,0.0008266459,0.0003440708,0.001150824,0.000547639,0.0003924709,0.0004243715],"category_scores_gemma":[0.01496499,0.0003495135,0.0004725974,0.0009140975,0.000619875,0.0009871409,0.0007747854,0.0005255796,0.00006764693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006576822,"about_ca_system_score_gemma":0.0005023293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006827929,"about_ca_topic_score_gemma":0.006776365,"domain_scores_codex":[0.9989035,0.000504808,0.00009836099,0.0002581221,0.0001613403,0.0000738711],"domain_scores_gemma":[0.991381,0.005893339,0.0008964476,0.001204183,0.0004868092,0.0001383162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000210253,0.00003039977,0.1805293,0.0000718798,0.0004086074,0.0002906862,0.0002944021,0.7663258,0.006661347,0.004575444,0.0003382361,0.04026372],"study_design_scores_gemma":[0.00001201229,0.00003880839,0.1237996,0.00003677902,0.00009611419,0.0001386547,0.0001510863,0.8670783,0.004577612,0.003159584,0.0008703594,0.00004120783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413944,0.0002783256,0.05672942,0.000172907,0.00002231457,0.00001078348,0.0002674866,0.0001305509,0.0009937165],"genre_scores_gemma":[0.9963857,0.00005756434,0.003339495,0.00000952121,0.000007293143,0.000004275038,0.0001247433,0.00001308712,0.00005830207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006827929,"threshold_uncertainty_score":0.03316474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751107934478277,"score_gpt":0.2324229047122537,"score_spread":0.214911825367471,"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."}}