{"id":"W2791931092","doi":"10.5194/npg-25-217-2018","title":"Multi-scale phenomena of rotation-modified mode-2 internal waves","year":2018,"lang":"en","type":"article","venue":"Nonlinear processes in geophysics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kelvin wave; Physics; Pycnocline; Internal wave; Schmidt number; Rotation (mathematics); Instability; Mechanics; Classical mechanics; Geometry; Meteorology; Convection; Mathematics; Geology","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":[0.0000558385,0.0001859577,0.0002488658,0.00003071325,0.00005628448,0.00002676456,0.0002677166,0.00004625034,0.0001708107],"category_scores_gemma":[0.00001135739,0.0001822867,0.00006178545,0.0003735906,0.0001461896,0.0002371751,0.00008312398,0.0001558731,0.00004956239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001724986,"about_ca_system_score_gemma":0.0001803754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005954342,"about_ca_topic_score_gemma":0.0002364934,"domain_scores_codex":[0.9989569,0.00001764353,0.0003436359,0.0002656525,0.000157985,0.0002582333],"domain_scores_gemma":[0.9991374,0.00004926453,0.0001781491,0.0002292932,0.0003571781,0.00004872292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009606662,0.0118781,0.1994726,0.002051766,0.0006521032,0.00001003677,0.03419444,0.01610759,0.02602745,0.03439223,0.0005119576,0.6737411],"study_design_scores_gemma":[0.004908758,0.0008033693,0.008868506,0.0004079392,0.00009566531,0.000001491777,0.003869177,0.8860739,0.05379182,0.03712001,0.002689267,0.001370107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990067,0.00004270191,0.08035981,0.00002239378,0.0002384504,0.0002391816,0.0001071383,0.00003354155,0.01995007],"genre_scores_gemma":[0.9681496,0.000005548553,0.02976647,0.00003289561,0.0008618891,0.00002154101,0.00008529286,0.00002976154,0.001046992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8699663,"threshold_uncertainty_score":0.7433436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009182991907662813,"score_gpt":0.2637557241745405,"score_spread":0.2545727322668777,"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."}}