{"id":"W1970543114","doi":"10.1063/1.2214538","title":"Internal wave generation from rough topography","year":2006,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Core Research for Evolutional Science and Technology","keywords":"Physics; Internal wave; Buoyancy; Amplitude; Turbulence; Wavelength; Mechanics; Excitation; Gravity wave; Boundary layer; Optics; Computational physics; Wave propagation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003606468,0.00008267909,0.0001079356,0.000007497694,0.00004742183,0.0000254767,0.0001009371,0.00002729435,0.000291109],"category_scores_gemma":[0.000002572818,0.00006987839,0.00007174398,0.0002076948,0.00006509018,0.0002087716,0.000005472135,0.00004837087,0.00001508969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":7.166411e-7,"about_ca_system_score_gemma":0.00001413705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005682888,"about_ca_topic_score_gemma":0.0002169363,"domain_scores_codex":[0.9994297,0.00001277785,0.00014429,0.0001366293,0.0001610602,0.0001155385],"domain_scores_gemma":[0.9997566,0.00002793642,0.0000501155,0.0001002069,0.00003808806,0.00002700535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002237231,0.00007602306,0.9063968,0.00001315949,0.00004995358,0.000004267451,0.0001468347,0.00227326,0.004577665,0.004739984,0.004116294,0.07758337],"study_design_scores_gemma":[0.0004896439,0.0001889482,0.7446374,0.00003171099,0.00005481831,0.000001697412,0.00006231953,0.07743114,0.03137658,0.139837,0.005509579,0.0003792196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748417,0.001188969,0.01327462,0.00004822494,0.0002129342,0.00003673122,0.00006755709,0.00002638049,0.01030295],"genre_scores_gemma":[0.9935647,0.00005033805,0.005354739,0.00006246183,0.0006935165,2.620845e-7,0.0002147306,0.000002212046,0.00005705358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1617595,"threshold_uncertainty_score":0.8590863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444135230439902,"score_gpt":0.1907475453483727,"score_spread":0.1763061930439737,"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."}}