{"id":"W1711365732","doi":"10.1007/s10236-015-0878-y","title":"Statistical estimation of extreme ocean waves over the eastern Canadian shelf from 30-year numerical wave simulation","year":2015,"lang":"en","type":"article","venue":"Ocean Dynamics","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network; Canon Foundation for Scientific Research","keywords":"Significant wave height; Geology; Climatology; Wind wave; Wave model; Buoy; Rogue wave; Wave height; Meteorology; Storm; Surface wave; Submarine pipeline; Oceanography; Environmental science; Geography; Nonlinear system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001094615,0.00048265,0.0004668345,0.001040154,0.001126023,0.001106873,0.001373071,0.0007854248,0.000808708],"category_scores_gemma":[0.004690465,0.000573892,0.0006672242,0.001377629,0.000717962,0.000592604,0.0005529446,0.0006767181,0.0001903019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005428764,"about_ca_system_score_gemma":0.008905006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9282468,"about_ca_topic_score_gemma":0.9211699,"domain_scores_codex":[0.9995316,0.00004743657,0.00003557921,0.0001239689,0.0001424085,0.0001189693],"domain_scores_gemma":[0.997755,0.000556035,0.0002203943,0.0002501251,0.001024613,0.0001938941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003551158,0.0001745465,0.4714246,0.00005747678,0.000444526,0.000185339,0.0001445359,0.5084858,0.002388091,0.001453572,0.003089428,0.01179691],"study_design_scores_gemma":[0.00005033534,0.00002137429,0.3662017,0.00002064358,0.0000724791,0.00003082274,0.0001312262,0.6312053,0.0008549467,0.0003154154,0.001020337,0.00007535836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945995,0.00013559,0.001683173,0.000104248,0.00001390975,0.00001361999,0.002638664,0.00007182026,0.0007395705],"genre_scores_gemma":[0.9942954,0.00006707007,0.0007791221,0.00001934564,0.000005033634,0.000008523215,0.004493718,0.0000132004,0.0003185904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0717532,"threshold_uncertainty_score":0.1443515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386016698085649,"score_gpt":0.2225326128333398,"score_spread":0.1986724458524833,"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."}}