{"id":"W2952707787","doi":"10.3390/w11061214","title":"Forcing the Penman-Montheith Formulation with Humidity, Radiation, and Wind Speed Taken from Reanalyses, for Hydrologic Modeling","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Evapotranspiration; Environmental science; Wind speed; Penman–Monteith equation; Pluvial; Forcing (mathematics); Meteorology; Calibration; Climatology; Hydrological modelling; Atmospheric sciences; Geography; Mathematics; Statistics; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002396658,0.00009942614,0.000111768,0.00001751252,0.0002527806,0.00003228445,0.00009626851,0.00003857646,0.000227683],"category_scores_gemma":[0.000004455481,0.00004733996,0.00002300347,0.00002918014,0.00004648972,0.0002597458,0.0001173372,0.0000493057,0.00009252014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002322016,"about_ca_system_score_gemma":8.283645e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005807647,"about_ca_topic_score_gemma":0.000183889,"domain_scores_codex":[0.9993323,0.00002361373,0.0001096591,0.0002356643,0.0000986091,0.0002001155],"domain_scores_gemma":[0.9997478,0.0000359938,0.00003390401,0.0001594695,0.000004417278,0.00001848391],"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":[0.0001269391,0.00001486649,0.297527,0.000007134423,0.0001048881,0.000001011451,0.002217273,0.6972468,0.00195749,0.00004848788,0.0004055922,0.0003425144],"study_design_scores_gemma":[0.001024343,0.0001575365,0.0254265,0.000006878876,0.0001541354,0.00000111346,0.0001971861,0.956733,0.002221085,0.01071599,0.003154382,0.0002078446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944547,0.00002284757,0.001722477,0.001608662,0.00004851653,0.0004502657,0.000002648876,0.000019556,0.001670317],"genre_scores_gemma":[0.9986476,0.00001014636,0.0002071744,0.0003848083,0.00003551668,0.000006115712,0.00003996894,0.000008318596,0.0006603067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2721005,"threshold_uncertainty_score":0.2492969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400186053658354,"score_gpt":0.2109662382656188,"score_spread":0.1969643777290353,"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."}}