{"id":"W2033859822","doi":"10.1016/j.advwatres.2015.03.011","title":"Exploration of sequential streamflow assimilation in snow dominated watersheds","year":2015,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"GDG Environnement; Université Laval","funders":"Mitacs","keywords":"Streamflow; Snow; Environmental science; Hydrology (agriculture); Data assimilation; Assimilation (phonology); Stream flow; Climatology; Meteorology; Geology; Geography; Geotechnical engineering; Drainage basin; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000405412,0.0001093019,0.0001584149,0.0001112778,0.00003328905,0.000008672928,0.0001412258,0.00005152454,0.00009516728],"category_scores_gemma":[0.00002279781,0.00007691765,0.00001965084,0.0001564016,0.0001886073,0.001096889,0.000167105,0.00007319143,0.00006311301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007894191,"about_ca_system_score_gemma":0.000001060038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002402207,"about_ca_topic_score_gemma":0.001104198,"domain_scores_codex":[0.9989793,0.0001098061,0.0002658234,0.0002245112,0.0001856933,0.0002349037],"domain_scores_gemma":[0.9997686,0.00001935473,0.0000534969,0.0001226313,0.000006101792,0.00002982654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005246666,0.0001759231,0.5763142,0.00003018051,0.00001490407,0.00003808588,0.04976687,0.360461,0.002825823,0.00004069922,0.0001305131,0.009677241],"study_design_scores_gemma":[0.01384469,0.00185425,0.1098508,0.0004141789,0.0001094824,0.00000886913,0.01669691,0.02787758,0.4596869,0.09666655,0.2709404,0.00204939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906889,0.00008576158,0.0004008751,0.0004233283,0.0001144551,0.000165965,9.31036e-7,0.00001904317,0.008100783],"genre_scores_gemma":[0.9992228,0.00009770026,0.0003109316,0.0000418471,0.0000160517,0.00002790116,0.00001953501,0.000006634792,0.000256664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4664633,"threshold_uncertainty_score":0.313661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154055063267512,"score_gpt":0.259912759142901,"score_spread":0.2383722085102259,"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."}}