{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002188953,0.0003518166,0.0005748888,0.0003945445,0.00004353066,0.000004305013,0.0005482155,0.0007501671,0.2363209],"category_scores_gemma":[0.0001831768,0.0003086895,0.0002266569,0.001038725,0.0005709256,0.0000488301,0.000332898,0.0003405132,0.005409224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005909548,"about_ca_system_score_gemma":0.000006264298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007330105,"about_ca_topic_score_gemma":0.0001965349,"domain_scores_codex":[0.9980488,0.00009959,0.0003735106,0.0005890178,0.0004954247,0.0003936904],"domain_scores_gemma":[0.9987173,0.0001331677,0.0003590941,0.0006436551,0.000001284635,0.0001454772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005490117,0.0002280664,0.1789484,0.00000995236,0.00007358503,0.00006915575,0.00002746106,0.0003460279,0.0000178152,0.00003081937,0.8028678,0.01737536],"study_design_scores_gemma":[0.0001607269,0.00006552458,0.005952013,0.000006270954,0.0001373235,0.000005893645,0.000005296261,0.00008023203,0.000008819266,0.0002324627,0.99303,0.0003153969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001566492,0.001633501,0.001376842,0.00005099211,0.0001871579,0.0001536158,0.00002242487,0.00009069787,0.9949183],"genre_scores_gemma":[0.003901176,0.01519799,0.003374556,0.0001383986,0.0002489286,0.00001431897,0.00004790738,0.0002245494,0.9768522],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2309116,"threshold_uncertainty_score":0.9999365,"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."}}