{"id":"W1491694267","doi":"10.1016/s0422-9894(02)80053-8","title":"Assimilating satellite altimeter data in operational sea level and storm surge forecasting","year":2002,"lang":"en","type":"book-chapter","venue":"Elsevier oceanography series","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Storm surge; Altimeter; Meteorology; Satellite altimetry; Satellite; Climatology; Storm; Environmental science; Surge; Geology; Remote sensing; Geography; Engineering; Aerospace 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":[],"category_scores_codex":[0.0005204512,0.0005005028,0.0005699063,0.0004307553,0.0003310938,0.0002629234,0.0003119281,0.0002795295,0.0009285958],"category_scores_gemma":[0.00004204863,0.0004311023,0.0001316869,0.0001488179,0.0002937289,0.001190512,0.0001076467,0.0005209772,0.00002509557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006403139,"about_ca_system_score_gemma":0.00004751833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005543438,"about_ca_topic_score_gemma":0.001780259,"domain_scores_codex":[0.9976352,0.00005094304,0.0006261292,0.0007771064,0.0004340958,0.0004765384],"domain_scores_gemma":[0.9987723,0.000211898,0.0002521148,0.0005339129,0.00006474381,0.000164989],"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":[0.00003812021,0.000006567207,0.1196159,0.0001645676,0.0001206854,0.0001324026,0.0003468288,0.00006868332,5.411632e-7,0.0001557245,0.0004453689,0.8789046],"study_design_scores_gemma":[0.0004346993,0.0001625151,0.1808253,0.001320412,0.0001291721,0.0003475442,0.0001316797,0.03659888,0.00000447004,0.001669235,0.7768517,0.001524454],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03322044,0.0498621,0.00001339735,0.0008832674,0.00155815,0.001008366,0.005737364,0.0001518689,0.9075651],"genre_scores_gemma":[0.188567,0.07558012,0.1058348,0.00339718,0.004642616,2.445094e-7,0.03350721,0.0003960417,0.5880747],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8773801,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08194956006112472,"score_gpt":0.2258422329209384,"score_spread":0.1438926728598137,"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."}}