{"id":"W1603051630","doi":"10.1002/9780470057339.vnn043","title":"Hydrological Frequency Analysis, Regional","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Frequency analysis; Environmental science; Hydrology (agriculture); Focus (optics); Computer science; Geology","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":[0.001032076,0.0006078818,0.0003934749,0.005501969,0.0002726704,0.002066807,0.0005985099,0.0004281895,0.01123297],"category_scores_gemma":[0.003453194,0.0001560919,0.0004154037,0.007433807,0.0005378736,0.001511398,0.0008759116,0.0005949785,0.002430396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007004093,"about_ca_system_score_gemma":0.0006307272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465473,"about_ca_topic_score_gemma":0.00316404,"domain_scores_codex":[0.9993244,0.0001567902,0.00003503552,0.0002208924,0.0002203174,0.00004257112],"domain_scores_gemma":[0.9984829,0.0005118673,0.0004382252,0.000131456,0.0003850645,0.00005047446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000710017,0.00004684497,0.01921071,0.0005559727,0.0001295705,0.000177172,0.0002415496,0.07433708,0.003610765,0.07336295,0.01380621,0.8144502],"study_design_scores_gemma":[0.00002924798,0.0001062854,0.09278933,0.0006614821,0.0002638345,0.001050356,0.001319581,0.3251902,0.008230372,0.320034,0.2501378,0.0001875698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03673364,0.01349604,0.8791023,0.0008896273,0.0002057013,0.0001285469,0.003635851,0.001437144,0.06437115],"genre_scores_gemma":[0.6344723,0.01801357,0.3097363,0.0003748514,0.0008273006,0.000230052,0.004762453,0.0007248446,0.03085824],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01123297,"threshold_uncertainty_score":0.03757805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059733216853029,"score_gpt":0.2229994014298759,"score_spread":0.2124020692613456,"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."}}