{"id":"W3141631228","doi":"10.5194/hess-25-4917-2021","title":"A 10 km North American precipitation and land-surface reanalysis based on the GEM atmospheric model","year":2021,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Environmental science; Quantitative precipitation forecast; Meteorology; Weather Research and Forecasting Model; Climatology; Data assimilation; Troposphere; Snowpack; Atmospheric sciences; Snow; Geology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007524377,0.00009211995,0.0001572361,0.000006305655,0.0004527238,0.00005018544,0.0001073113,0.00003086665,0.0005767565],"category_scores_gemma":[0.00004374714,0.00005946406,0.00002764005,0.0004319376,0.0007568782,0.00009966494,0.00006738409,0.00006213407,0.00008620635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001250719,"about_ca_system_score_gemma":0.00002158862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002759615,"about_ca_topic_score_gemma":0.001280866,"domain_scores_codex":[0.9988331,0.0002253737,0.0001398667,0.0003966577,0.0002096204,0.0001954178],"domain_scores_gemma":[0.9993919,0.000266911,0.00007853672,0.0001921802,0.000008757142,0.00006172558],"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":[0.00001702657,0.00001889536,0.09396901,0.000007590717,0.00000562992,0.000002068394,0.0002146418,0.9048005,0.00005708437,0.0001138167,0.00004147062,0.0007522501],"study_design_scores_gemma":[0.0000777666,0.000120755,0.02949087,0.000006122581,0.00002010897,0.00000561674,0.0001655686,0.9697713,0.00001308536,0.00004984545,0.0002070023,0.00007194635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878217,0.00003087389,0.0005071713,0.001201217,0.00001593547,0.00009436605,0.00000738474,0.00002117092,0.01030017],"genre_scores_gemma":[0.9978368,0.00001483344,0.001187004,0.000350062,0.000006052411,0.000007772406,0.000002509081,0.000002567072,0.0005924142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06497079,"threshold_uncertainty_score":0.6315079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529003502786914,"score_gpt":0.2136025876211835,"score_spread":0.1983125525933143,"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."}}