{"id":"W2090759119","doi":"10.1175/2009jpo3947.1","title":"A Two-Scale Approximation for Efficient Representation of Nonlinear Energy Transfers in a Wind Wave Spectrum. Part II: Application to Observed Wave Spectra","year":2009,"lang":"en","type":"article","venue":"Journal of Physical Oceanography","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Swell; Spectral line; Wind wave; Physics; Nonlinear system; Computational physics; Parametric statistics; Electromagnetic spectrum; Scale (ratio); Wavenumber; Meteorology; Statistical physics; Optics; Mathematics; Quantum mechanics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002299744,0.0001437388,0.0003696231,0.000336425,0.00007355358,0.00002532775,0.00009781272,0.00004513339,0.000005662085],"category_scores_gemma":[0.00001514506,0.0001141489,0.0003706204,0.0008733668,0.00004715266,0.0001453842,0.000003380064,0.000130048,5.852878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009617806,"about_ca_system_score_gemma":0.00003546335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005326528,"about_ca_topic_score_gemma":0.00006820069,"domain_scores_codex":[0.9986036,0.00005547073,0.0005445633,0.0002067559,0.0003464005,0.0002431739],"domain_scores_gemma":[0.9992515,0.00009814661,0.0002761724,0.0001339237,0.00009906574,0.0001411885],"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":[0.00361078,0.002749965,0.008011668,0.0001543921,0.0002324041,0.00003973451,0.009050534,0.5167861,0.04857271,0.003029003,0.0002175849,0.4075451],"study_design_scores_gemma":[0.001800511,0.003187503,0.07692235,0.0001458672,0.00008478175,0.00002506513,0.0004850688,0.8720884,0.03746234,0.007330108,0.0002080388,0.0002599536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989965,0.00004449893,0.008506749,0.0006438636,0.00009745859,0.0002871743,0.00002700413,0.000007821765,0.0004204962],"genre_scores_gemma":[0.9901627,0.00001737679,0.009220109,0.0000952691,0.0004580927,3.227152e-8,0.00003701924,0.000004835026,0.000004509905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4072852,"threshold_uncertainty_score":0.4654855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764954407229112,"score_gpt":0.232283905512558,"score_spread":0.2146343614402669,"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."}}