{"id":"W2092522828","doi":"10.1029/2005jd006776","title":"Large‐scale dynamics of the mesosphere and lower thermosphere: An analysis using the extended Canadian Middle Atmosphere Model","year":2006,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Thermosphere; Atmospheric sciences; Mesosphere; Atmosphere (unit); Geology; Atmospheric tide; Gravity wave; Wave drag; Forcing (mathematics); Zonal and meridional; Zonal flow (plasma); Equinox; Equator; Wave model; Latitude; Climatology; Drag; Ionosphere; Geophysics; Physics; Gravitational wave; Meteorology; Geodesy; Stratosphere; Drag coefficient; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003229595,0.0009841289,0.0004491236,0.0005632809,0.001325146,0.001171302,0.001699615,0.0006977823,0.00209961],"category_scores_gemma":[0.0009763202,0.0003064484,0.000795626,0.0008947409,0.0003340963,0.0004626884,0.0005184109,0.0007487505,0.0002039234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006788919,"about_ca_system_score_gemma":0.008611651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.957997,"about_ca_topic_score_gemma":0.9285095,"domain_scores_codex":[0.9998485,0.00002181083,0.000004885833,0.00002102398,0.00004778671,0.00005595572],"domain_scores_gemma":[0.9996942,0.00006468079,0.00002478861,0.00001478802,0.0001354266,0.00006611936],"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":[0.0001944139,0.00008885898,0.05488296,0.0001062943,0.0003032869,0.0003085876,0.0001101394,0.9215409,0.003638886,0.003789832,0.005309849,0.009725918],"study_design_scores_gemma":[0.00003882739,0.00001930441,0.03027014,0.000007919446,0.00004610954,0.00001532491,0.00005331627,0.9665139,0.0003323776,0.0002956683,0.002382827,0.00002426845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740571,0.000704573,0.005002922,0.0005985524,0.00007331197,0.00009367788,0.008112161,0.0004901419,0.01086773],"genre_scores_gemma":[0.9907053,0.0003383828,0.003418156,0.00005309213,0.00001731334,0.00005362803,0.003826954,0.00007569663,0.001511319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.957997,"threshold_uncertainty_score":0.08450061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520332359217803,"score_gpt":0.2768851525357185,"score_spread":0.2616818289435405,"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."}}