{"id":"W2044121176","doi":"10.1080/01490410903297832","title":"Numerical Simulation and Validation of Deepwater Spectral Wind-Waves","year":2010,"lang":"en","type":"article","venue":"Marine Geodesy","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Windsor","keywords":"Wind wave model; Swell; Buoy; Wave model; Significant wave height; Wind wave; Meteorology; Wind speed; Wave height; Electromagnetic spectrum; Spectral space; Surface wave; Geology; Numerical weather prediction; Infragravity wave; Wave propagation; Physics; Mathematics; Mechanical wave; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008838054,0.00006154575,0.00008455311,0.00003841634,0.00004818787,0.00002656704,0.00003218941,0.00003948213,0.000729948],"category_scores_gemma":[0.00002023234,0.00004666029,0.00002220705,0.00005936499,0.00004838244,0.00009307065,0.000009510683,0.00008979595,0.00001615203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":6.483439e-7,"about_ca_system_score_gemma":0.000006334345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009376399,"about_ca_topic_score_gemma":0.0001704776,"domain_scores_codex":[0.9995452,0.00001486055,0.0001144664,0.000112179,0.00009349339,0.0001197639],"domain_scores_gemma":[0.9997643,0.00005174541,0.00003901318,0.00007792209,0.00001796066,0.00004910944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003546036,0.00001142094,0.7749898,0.00001884518,0.00001010056,0.000004597523,0.000153116,0.07739941,0.0009958522,0.00003542896,0.00001000267,0.1463359],"study_design_scores_gemma":[0.0001023379,0.00002958208,0.6029535,0.000002045726,0.000005908834,0.000009897235,0.000009270484,0.3935846,0.002017272,0.0008362877,0.0003904796,0.00005881928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944201,0.00000567831,0.00009591143,0.00009296295,0.0001738219,0.00004827933,0.000002777421,0.00001325326,0.005147247],"genre_scores_gemma":[0.9974319,0.000002633098,0.002189158,0.00002598612,0.0001206637,9.679431e-10,0.00005424722,0.000002114239,0.0001733103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3161852,"threshold_uncertainty_score":0.7992418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009361082951882663,"score_gpt":0.2141397321164129,"score_spread":0.2047786491645303,"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."}}