{"id":"W2972520970","doi":"10.1175/jtech-d-19-0015.1","title":"Use of Oceanic Reanalysis to Improve Estimates of Extreme Storm Surge","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Hindcast; Tide gauge; Storm surge; Climatology; Barotropic fluid; Environmental science; Baroclinity; Storm; Storm track; Sea level; Surge; Oceanography; Meteorology; 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":[0.0001748404,0.0001265506,0.0005636784,0.00005274119,0.00003059061,0.00001543091,0.0002980376,0.0001490894,0.0008251687],"category_scores_gemma":[0.0002474707,0.00008586845,0.0001302828,0.0007003819,0.0001610299,0.0001767762,0.00004681087,0.0002697887,0.00001704846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007818238,"about_ca_system_score_gemma":0.0000656338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004080129,"about_ca_topic_score_gemma":0.0001267391,"domain_scores_codex":[0.9986175,0.00003035382,0.0005849504,0.0001747584,0.0003161813,0.0002762163],"domain_scores_gemma":[0.9988638,0.0002426809,0.0003335767,0.0002252904,0.0001841776,0.0001505046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001854991,0.00003857611,0.9170919,0.0000475931,0.00009723982,0.0000178969,0.00002255353,0.0001407122,0.003967051,0.0003437428,0.0001291001,0.07791814],"study_design_scores_gemma":[0.0003844297,0.00206828,0.9881547,0.00004745993,0.00007035625,0.00007104011,0.0002040966,0.003511319,0.001629624,0.001596918,0.00213142,0.0001303769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99718,0.001403183,0.0007122095,0.000404425,0.0001196746,0.00009231542,0.00001181745,0.00001222984,0.0000641371],"genre_scores_gemma":[0.9860419,0.0003767284,0.01344482,0.0000322343,0.00002637511,1.03396e-7,0.00000106876,0.000004229531,0.00007256331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07778776,"threshold_uncertainty_score":0.9035019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671720258504744,"score_gpt":0.2224046909374871,"score_spread":0.2056874883524397,"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."}}