{"id":"W4299410857","doi":"10.1002/essoar.10506709.2","title":"Focusing and defocusing of tropical cyclone generated waves by ocean current refraction","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Nuclear Safety and Security Commission; National Aeronautics and Space Administration","keywords":"Tropical cyclone; Refraction; Geology; Tropical wave; Climatology; Wavelength; Current (fluid); Cyclone (programming language); Wind wave; Amplitude; Rogue wave; Satellite; Surface wave; Meteorology; Geophysics; Oceanography; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402268,0.0004330276,0.0002331941,0.000283399,0.0002712187,0.000520751,0.0002179175,0.0003533884,0.0009393458],"category_scores_gemma":[0.0006450037,0.0002798607,0.0003290074,0.0002533669,0.0003757632,0.0003239453,0.0003765128,0.0003628927,0.00007719218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005135444,"about_ca_system_score_gemma":0.0005480938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0297563,"about_ca_topic_score_gemma":0.01699836,"domain_scores_codex":[0.9999355,0.00001061256,0.000003352443,0.00001052729,0.00001703146,0.00002297827],"domain_scores_gemma":[0.9998059,0.00005424461,0.00006129451,0.00002500318,0.00002749175,0.00002610869],"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":[0.0001910993,0.0001475389,0.09619074,0.0000696515,0.00009862609,0.0005934079,0.0002271787,0.8463369,0.03992356,0.002087352,0.0007774748,0.01335644],"study_design_scores_gemma":[0.00003998659,0.00006700659,0.05179821,0.00001203605,0.00002108243,0.00007584938,0.00007704721,0.9427429,0.004413192,0.0003851619,0.0003519584,0.00001562507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931383,0.00007683867,0.002727254,0.00006574084,0.0000134647,0.00001054799,0.00008907884,0.00006522432,0.003813574],"genre_scores_gemma":[0.9991792,0.00006780206,0.0004360843,0.00001019875,0.00000363255,0.000002488599,0.00004380687,0.00001207704,0.0002447894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0297563,"threshold_uncertainty_score":0.05916619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787433753401816,"score_gpt":0.2390837006221886,"score_spread":0.2212093630881705,"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."}}