{"id":"W2853311888","doi":"10.3390/s18072209","title":"Assessment of Retrieved N2O, NO2, and HF Profiles from the Atmospheric Infrared Ultraspectral Sounder Based on Simulated Spectra","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Atmospheric Infrared Sounder; Environmental science; Spectral line; Standard deviation; Occultation; Remote sensing; Satellite; Range (aeronautics); Atmospheric sciences; Meteorology; Physics; Mathematics; Materials science; Troposphere; Geology; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009730055,0.0009099459,0.0003986353,0.0009347221,0.0003470226,0.0006863287,0.0005378751,0.0006715437,0.000465337],"category_scores_gemma":[0.001104845,0.0002747178,0.0006617971,0.0008882869,0.0003367467,0.001201982,0.0004788728,0.0003321058,0.0002591056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004601673,"about_ca_system_score_gemma":0.0005257913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01428411,"about_ca_topic_score_gemma":0.01173021,"domain_scores_codex":[0.9995211,0.00004794354,0.00003225956,0.0001138719,0.0002264435,0.00005836557],"domain_scores_gemma":[0.9997231,0.0000400293,0.00003302167,0.00004166857,0.0001422947,0.00001986692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001789572,0.0006287124,0.2922335,0.0006359651,0.0006443588,0.001503736,0.0007503289,0.1246226,0.3560211,0.001278861,0.00436563,0.2155256],"study_design_scores_gemma":[0.0002013396,0.000274753,0.3885732,0.00006250627,0.0002616431,0.0003041588,0.0005054538,0.5032311,0.102062,0.0005996706,0.003762937,0.0001613032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858243,0.0003582716,0.01017258,0.00006888196,0.00005257859,0.0000364328,0.0009777831,0.0002811409,0.002228095],"genre_scores_gemma":[0.9895862,0.0002155105,0.007312284,0.00004194633,0.00001954874,0.00001891455,0.00225739,0.00006211983,0.0004861089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01428411,"threshold_uncertainty_score":0.02840191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105853290083973,"score_gpt":0.2314439367477005,"score_spread":0.2208586077393032,"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."}}