{"id":"W2945365302","doi":"10.1029/2019jd030298","title":"PMC Turbo: Studying Gravity Wave and Instability Dynamics in the Summer Mesosphere Using Polar Mesospheric Cloud Imaging and Profiling From a Stratospheric Balloon","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; National Aeronautics and Space Administration; Deutsches Zentrum für Luft- und Raumfahrt; National Science Foundation","keywords":"Gravity wave; Turbulence; Physics; Atmospheric sciences; Instability; Polar vortex; Environmental science; Mesosphere; Gravitational wave; Lidar; Stratosphere; Meteorology; Remote sensing; Geology; Astrophysics; Optics; Mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001827828,0.0004270517,0.0007654269,0.00001257604,0.0003059011,0.0004183745,0.0005367752,0.0001102426,0.0003716891],"category_scores_gemma":[0.000109216,0.0003151728,0.0002160796,0.0008103054,0.0003906591,0.0007637708,0.0004407417,0.001882852,0.00000884397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789165,"about_ca_system_score_gemma":0.0003435731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01338791,"about_ca_topic_score_gemma":0.0006156402,"domain_scores_codex":[0.9956845,0.0008837862,0.000828288,0.0005871464,0.001130669,0.0008856071],"domain_scores_gemma":[0.9973427,0.001092199,0.0004003587,0.0005012983,0.0003930166,0.0002704073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002783189,0.0005220918,0.9633796,0.00006231434,0.0001513485,0.0000557336,0.0008117303,0.0002354084,0.002351922,0.004158099,0.0000566637,0.02793679],"study_design_scores_gemma":[0.004738723,0.001110582,0.6285884,0.0004959767,0.0002318577,0.00004534348,0.08356068,0.192316,0.0005789151,0.08669934,0.0004855796,0.001148674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947147,0.001469298,0.0007525316,0.000185066,0.0002040908,0.000711032,0.00002335046,0.00001120777,0.001928675],"genre_scores_gemma":[0.9906599,0.00005445978,0.008636563,0.00004003318,0.0004473085,0.00001002529,0.000009862584,0.00005296067,0.00008888947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3347912,"threshold_uncertainty_score":0.99993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341705539141874,"score_gpt":0.2928698377621587,"score_spread":0.26945278237074,"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."}}