{"id":"W1860521957","doi":"10.1002/2014gl060840","title":"Characteristics of the O<sup>+</sup>(<sup>2</sup>P–<sup>2</sup>D) 732.0 and 733.0 nm airglow emissions observed with WINDII and simulated with the C‐IAM","year":2014,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Airglow; Solar zenith angle; Zenith; Thermosphere; Atmosphere (unit); Photoelectric effect; Physics; Atmospheric sciences; Aeronomy; Twilight; Atomic physics; Flux (metallurgy); Photoionization; Mesosphere; Ionosphere; Environmental science; Ionization; Optics; Meteorology; Stratosphere; Materials science; Astronomy; Ion","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":[0.0001035692,0.0001964125,0.0001070737,0.0001719103,0.000154889,0.0002178417,0.0001584752,0.0002244007,0.000770157],"category_scores_gemma":[0.0001924793,0.0001196833,0.0001834839,0.0002212663,0.0001108475,0.0001512505,0.00009173389,0.0001820737,0.0001281398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540316,"about_ca_system_score_gemma":0.0000840159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006930232,"about_ca_topic_score_gemma":0.008993988,"domain_scores_codex":[0.9999653,0.000003502351,0.00000119778,0.00001000535,0.00001023463,0.000009687442],"domain_scores_gemma":[0.9999086,0.00003464355,0.00001264645,0.000006354013,0.0000222175,0.00001556817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001712885,0.0001906106,0.5631293,0.0001003247,0.0001794813,0.0007961827,0.0003991358,0.09431601,0.3055762,0.0007934755,0.001789369,0.03101705],"study_design_scores_gemma":[0.00006241558,0.0001218546,0.8639076,0.000007317089,0.00003705902,0.0001391587,0.0001390467,0.1081604,0.02619318,0.0001485352,0.001060155,0.00002319963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979528,0.00002711044,0.000690797,0.00001614595,0.000002577444,0.000003701929,0.0003002532,0.00005910024,0.0009472926],"genre_scores_gemma":[0.9993162,0.00001067033,0.0002008996,0.000004163257,0.000001236204,0.000002750669,0.0003351578,0.00001259249,0.0001164372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006930232,"threshold_uncertainty_score":0.01377976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339090427545229,"score_gpt":0.242008231210858,"score_spread":0.2286173269354057,"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."}}