{"id":"W2023926535","doi":"10.1029/2012ja017777","title":"Longitudinal variability of thermospheric temperatures from WINDII O(<sup>1</sup>S) dayglow","year":2012,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Thermosphere; Airglow; Daytime; Ionosphere; Atmospheric sciences; Solstice; F region; Electron density; Atmospheric tide; Physics; Local time; Altitude (triangle); Atomic oxygen; Equinox; Geophysics; Latitude; Electron; Oxygen; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036503,0.0001195771,0.00008349819,0.0002484477,0.000153049,0.0002556684,0.00007060755,0.0001698233,0.00119941],"category_scores_gemma":[0.0003362677,0.00008066754,0.00008931016,0.0002485977,0.0001092762,0.0001490009,0.0001516514,0.0001487373,0.0003554957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483222,"about_ca_system_score_gemma":0.00008681168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004232184,"about_ca_topic_score_gemma":0.00951194,"domain_scores_codex":[0.9999648,0.000004173881,0.000002008004,0.00001008651,0.000007720671,0.00001115514],"domain_scores_gemma":[0.9997676,0.000033711,0.0000948017,0.00001649524,0.00004811896,0.0000392906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000277657,0.0000407299,0.9626313,0.000014483,0.00004604962,0.0001007193,0.0002891847,0.000352055,0.02774061,0.00008501641,0.0005080177,0.007914243],"study_design_scores_gemma":[9.371641e-7,0.00002748392,0.9991668,0.000001472826,0.000004158167,0.00002605781,0.00003296473,0.0001373586,0.0003678408,0.00001129298,0.0002221658,0.000001448892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988474,0.00004116286,0.00007346609,0.00001654568,0.000003295276,0.000001931275,0.0005233999,0.00000782007,0.0004848452],"genre_scores_gemma":[0.9980898,0.00004065082,0.00006954418,0.000009006653,0.000007597074,0.000003820726,0.001390854,0.00000322843,0.0003853691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004232184,"threshold_uncertainty_score":0.008415103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882418927747913,"score_gpt":0.2963993088266819,"score_spread":0.2775751195492028,"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."}}