{"id":"W4254038962","doi":"10.1002/9780470057339.vah017","title":"Hydrological Extremes","year":2001,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Culvert; Event (particle physics); Watershed; Surface runoff; Environmental science; Hydrology (agriculture); Computer science; Geology; Ecology; Geotechnical engineering","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":[0.0003414446,0.0004029179,0.0003173877,0.001866668,0.000589889,0.002416343,0.0005688729,0.0006312428,0.07075857],"category_scores_gemma":[0.001672446,0.0001354949,0.0003123224,0.002768744,0.0003420274,0.001536639,0.001675991,0.0008498082,0.01874595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359142,"about_ca_system_score_gemma":0.0003663696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493356,"about_ca_topic_score_gemma":0.001678992,"domain_scores_codex":[0.9996853,0.00004852498,0.00001616562,0.00007022811,0.000134349,0.00004544731],"domain_scores_gemma":[0.9995797,0.00008827301,0.00006490681,0.00007709021,0.0001114151,0.00007859644],"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":[0.0001614246,0.00007143216,0.01094855,0.0003490829,0.00004281961,0.0005514967,0.0004600138,0.01099198,0.002099627,0.2367346,0.3288529,0.4087361],"study_design_scores_gemma":[0.00001820976,0.00002529554,0.009351777,0.0001232092,0.0000133652,0.0004695364,0.0001650868,0.003991733,0.000876434,0.09450576,0.8904355,0.00002412624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01639416,0.003588592,0.03133365,0.001956282,0.0005966985,0.00011522,0.01717388,0.001966268,0.9268753],"genre_scores_gemma":[0.5277168,0.009132103,0.02537145,0.001616459,0.001415056,0.000360524,0.03086811,0.0007342691,0.4027853],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07075857,"threshold_uncertainty_score":0.236711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913039024948395,"score_gpt":0.2156192787855704,"score_spread":0.2064888885360864,"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."}}