{"id":"W2909999656","doi":"10.1103/physrevfluids.4.014802","title":"Numerical simulations of the shear instability and subsequent degeneration of basin scale internal standing waves","year":2019,"lang":"en","type":"article","venue":"Physical Review Fluids","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Instability; Amplitude; Internal wave; Mechanics; Shear (geology); Geology; Standing wave; Physics; Degeneration (medical); Classical mechanics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001369408,0.0000672929,0.0002218136,0.000004573677,0.00003682199,0.000007402818,0.00009812904,0.00001226941,0.0002303486],"category_scores_gemma":[0.00006559307,0.00003925496,0.00007362256,0.0002536289,0.0001081516,0.0001171975,0.00001263189,0.00006036562,0.000003544311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002407626,"about_ca_system_score_gemma":0.00002968372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001249352,"about_ca_topic_score_gemma":0.0000166944,"domain_scores_codex":[0.9993362,0.00007513394,0.0001989711,0.0001221185,0.0001848751,0.00008272343],"domain_scores_gemma":[0.9995927,0.0001289655,0.00006754466,0.0001305485,0.00004267475,0.00003760633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009008054,0.00004096908,0.9861361,0.0007973677,0.000008783005,4.978094e-8,0.00009240754,0.0005005414,0.001329621,0.0005152429,0.00001480555,0.01055511],"study_design_scores_gemma":[0.0001876586,0.0001839073,0.9084333,0.001060529,0.00006255612,0.000001672513,0.00003977957,0.07981515,0.006971562,0.002173537,0.0009282414,0.0001421312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929003,0.005818465,0.0003200611,0.0001439967,0.00004915895,0.0001678086,0.00002471044,0.000004725824,0.0005707583],"genre_scores_gemma":[0.9984453,0.001175842,0.0002585727,0.00008105025,0.00002371418,3.088581e-7,0.000006382769,0.000001440551,0.000007358503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07931461,"threshold_uncertainty_score":0.2522156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189456280042677,"score_gpt":0.2462698560580409,"score_spread":0.2343752932576141,"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."}}