{"id":"W2750776301","doi":"10.5194/amt-11-2375-2018","title":"Tomographic retrievals of ozone with the OMPS Limb Profiler: algorithm description and preliminary results","year":2018,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"Stratosphere; Microwave Limb Sounder; Remote sensing; Environmental science; Altitude (triangle); Polar vortex; Ozone; Ozone layer; Atmospheric sciences; Satellite; Meteorology; Physics; Geology; Mathematics; Geometry; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00145293,0.0002443608,0.0002798355,0.000005454851,0.0002717386,0.00005918155,0.000268774,0.0001055242,0.0002028547],"category_scores_gemma":[0.00005689969,0.0001455975,0.00005629218,0.0006528407,0.0005363398,0.0002619017,0.00002861311,0.0001561131,0.00001223661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001159507,"about_ca_system_score_gemma":0.00006586528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009365528,"about_ca_topic_score_gemma":0.0002966417,"domain_scores_codex":[0.9978816,0.0001515868,0.0004063876,0.0004010126,0.0008099092,0.0003495356],"domain_scores_gemma":[0.9987131,0.00006252649,0.0003090562,0.0004323614,0.0003865844,0.0000963144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003090878,0.0002194126,0.06679776,0.0001355689,0.000248888,0.00002075251,0.0011653,0.00001127551,0.002839644,0.00005325333,0.0119512,0.913466],"study_design_scores_gemma":[0.002735476,0.05934424,0.7773114,0.00105243,0.0007069052,0.000222922,0.003083651,0.0234561,0.08386182,0.001968695,0.04425936,0.001996936],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333057,0.005553739,0.03788619,0.001521461,0.0002608586,0.002577188,0.00007058067,0.0007631173,0.01806121],"genre_scores_gemma":[0.9112215,0.000534122,0.08775505,0.0001704349,0.0001260246,0.00001743315,0.00001611288,0.0000112467,0.0001480866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9114691,"threshold_uncertainty_score":0.5937295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130900580258503,"score_gpt":0.2091404756596892,"score_spread":0.1878314698571041,"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."}}