{"id":"W2951512495","doi":"","title":"Investigation of Internal Wave Fields using Eulerian and Lagrangian Formulations","year":2005,"lang":"en","type":"article","venue":"17th Conference on Climate Variability and Change/15th Conference on Atmospheric and Oceanic Fluid Dynamics/13th Conference on Middle Atmosphere","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Eulerian path; Lagrangian; Internal wave; Classical mechanics; Mathematics; Physics; Mathematical analysis; Mechanics","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":[0.0004689787,0.0004694987,0.0003625776,0.0007805802,0.0003484813,0.001111249,0.0005527001,0.000511765,0.00212078],"category_scores_gemma":[0.002140465,0.0004056432,0.0005270259,0.0006167776,0.0007170482,0.001312009,0.0005797899,0.000645509,0.0003567827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004288555,"about_ca_system_score_gemma":0.0007224666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072456,"about_ca_topic_score_gemma":0.002710447,"domain_scores_codex":[0.9998647,0.00002999259,0.000006660708,0.00001207383,0.0000617283,0.0000247987],"domain_scores_gemma":[0.9993671,0.000268147,0.00009267221,0.00006362257,0.0001672774,0.00004122664],"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":[0.0001403183,0.0001790784,0.009348412,0.0001595386,0.00005165136,0.0004969613,0.0003093908,0.7962685,0.02890716,0.1183176,0.001371956,0.04444946],"study_design_scores_gemma":[0.00001186408,0.0000168309,0.001164261,0.000005809673,0.000004729369,0.00003450704,0.00003148519,0.9942546,0.001604245,0.002468805,0.0003946503,0.000008207639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4625539,0.0005793276,0.49617,0.0004699834,0.0001058025,0.0001017531,0.0003576656,0.0004829892,0.03917858],"genre_scores_gemma":[0.9481615,0.0005402267,0.04240349,0.00004132961,0.00004443129,0.00003508629,0.0003163611,0.0002126526,0.008244787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003072456,"threshold_uncertainty_score":0.007094741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08448133847162552,"score_gpt":0.2617935134285522,"score_spread":0.1773121749569266,"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."}}