{"id":"W2028143771","doi":"10.4319/lo.2012.57.4.1201","title":"Poincaré wave–induced mixing in a large lake","year":2012,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Core Research for Evolutional Science and Technology; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ontario Innovation Trust; Ministry of Natural Resources","keywords":"Thermocline; Internal wave; Richardson number; Stratification (seeds); Geology; Dissipation; Amplitude; Turbulence; Mixing (physics); Inertial wave; Atmospheric sciences; Wind shear; Mixed layer; Oceanography; Mechanics; Physics; Wind speed; Wave propagation; Longitudinal wave","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001256227,0.0001589568,0.0002205298,0.0003374236,0.0004385259,0.0003664004,0.0001487983,0.0002083687,0.0005604135],"category_scores_gemma":[0.000225232,0.0002063416,0.0001926712,0.0003113885,0.0003360334,0.0002378957,0.000586357,0.0001911264,0.00007340455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007254799,"about_ca_system_score_gemma":0.0003728736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0157701,"about_ca_topic_score_gemma":0.02054036,"domain_scores_codex":[0.9999429,0.000006928458,0.000003062662,0.00001589244,0.00001160566,0.00001965334],"domain_scores_gemma":[0.9999194,0.000009711825,0.00002624742,0.000005523319,0.0000160077,0.00002312652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009312367,0.000228353,0.4575388,0.00005359315,0.0001241753,0.001130614,0.001310717,0.008280766,0.520945,0.0006575375,0.0003990322,0.00840021],"study_design_scores_gemma":[0.0000324983,0.0001735478,0.9706663,0.000002649497,0.00002977051,0.00006044703,0.0002248595,0.02044795,0.007870114,0.0001004457,0.0003714168,0.00001994999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999823,0.00000430702,0.00002988399,0.000004672983,3.389941e-7,7.266391e-7,0.00001338924,0.000003321352,0.0001203305],"genre_scores_gemma":[0.9997671,0.000005064695,0.0000721039,0.000003541275,7.945002e-7,0.00000213539,0.00005875186,0.000001358797,0.00008897702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157701,"threshold_uncertainty_score":0.03135663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287756833435857,"score_gpt":0.2036285001499787,"score_spread":0.1907509318156202,"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."}}