{"id":"W3193978882","doi":"10.5194/hess-2021-437","title":"Diel streamflow cycles suggest more sensitive snowmelt-driven streamflow to climate change than land surface modeling","year":2021,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Comisión Nacional de Investigación Científica y Tecnológica; National Science Foundation","keywords":"Streamflow; Snowmelt; Environmental science; Climatology; Climate change; Diel vertical migration; Water year; Proxy (statistics); Snow; Water resources; Drainage basin; Geology; Geography; Meteorology; Ecology","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":[0.0002232322,0.0001285122,0.0001181339,0.0003470739,0.0001765546,0.0004608969,0.00009174702,0.0001034235,0.001509104],"category_scores_gemma":[0.0006063152,0.00008272435,0.0001454186,0.0004733124,0.0001343501,0.0002107014,0.0002037692,0.0001147333,0.0001796403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206366,"about_ca_system_score_gemma":0.0001380013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00281394,"about_ca_topic_score_gemma":0.006663441,"domain_scores_codex":[0.9999229,0.00001686604,0.000007559868,0.00002604743,0.00001572518,0.00001100987],"domain_scores_gemma":[0.9997267,0.00005860924,0.0001081868,0.00003261691,0.00004930566,0.00002454346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004189173,0.00003475283,0.9713212,0.00003975007,0.0001030778,0.00003946433,0.0001017996,0.00521109,0.008770399,0.0005293514,0.0006773982,0.0131298],"study_design_scores_gemma":[0.00000230605,0.00001170578,0.9903831,0.000003583881,0.000008260226,0.00002450509,0.00003468967,0.006970165,0.00102041,0.0002572282,0.001280916,0.000003270513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946011,0.00009316717,0.001775478,0.00004894675,0.000006447728,0.000007662915,0.001036986,0.00007861514,0.002351654],"genre_scores_gemma":[0.9985352,0.00003464952,0.0003809209,0.00002187013,0.000004788846,0.000006434493,0.0008156316,0.000006058613,0.0001944872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00281394,"threshold_uncertainty_score":0.005595088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145848223219676,"score_gpt":0.2475295517882055,"score_spread":0.2260710695560088,"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."}}