{"id":"W2068621928","doi":"10.1186/bf03353247","title":"Development of Optical Mesosphere Thermosphere Imagers (OMTI)","year":2014,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Polar Research","keywords":"Airglow; Thermosphere; Photometer; Mesopause; Mesosphere; Atmosphere (unit); Remote sensing; Wavelength; Physics; Atmospheric sciences; Environmental science; Geology; Ionosphere; Optics; Stratosphere; Astronomy; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001121213,0.0001640064,0.0002223058,0.000005170328,0.0000923146,0.00003190916,0.00009250765,0.00004937981,0.001947244],"category_scores_gemma":[0.000003328829,0.0001389736,0.00003808392,0.00005078985,0.00006358895,0.00006302577,0.00004482108,0.0001169815,0.00005746827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002790182,"about_ca_system_score_gemma":0.00005642805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088288,"about_ca_topic_score_gemma":0.0001052186,"domain_scores_codex":[0.9991975,0.00002153058,0.0002005363,0.0002041881,0.0001310881,0.000245187],"domain_scores_gemma":[0.9995634,0.00005097733,0.00008044286,0.0001658383,0.00002857297,0.0001107909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008626145,0.0002033211,0.03959959,0.00008771501,0.0002023838,0.000004738122,0.001745827,0.0004095364,0.004507703,0.1646366,0.003548908,0.7849674],"study_design_scores_gemma":[0.002890005,0.0003596479,0.09604371,0.0001249037,0.00009392274,0.000008910642,0.003031381,0.01659991,0.01018827,0.002523124,0.8668302,0.001306018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7968378,0.0001077907,0.01164049,0.0001230182,0.0001052804,0.0001358564,0.00001127174,0.00002939433,0.1910091],"genre_scores_gemma":[0.9574099,0.000003787766,0.03820759,0.00003766139,0.0001015173,0.000004051777,0.00004348333,0.00001659635,0.004175389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8632813,"threshold_uncertainty_score":0.9989651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003986799518091574,"score_gpt":0.1887444538030587,"score_spread":0.1847576542849671,"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."}}