{"id":"W2180073396","doi":"10.1175/jtech1850.1","title":"Solar Irradiance and Effective Brightness Temperature for SWIR Channels of AVHRR/NOAA and GOES Imagers","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Solar irradiance; Irradiance; Remote sensing; Environmental science; Radiometer; Shortwave; Radiance; Satellite; Brightness temperature; Advanced very-high-resolution radiometer; Brightness; Geostationary orbit; Physics; Atmospheric sciences; Radiative transfer; Optics; Astronomy; Geology","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":[0.0003843322,0.000295012,0.0001339015,0.001162379,0.0001793651,0.00034626,0.000310713,0.0002896443,0.0008368411],"category_scores_gemma":[0.0009940928,0.00009385556,0.0002096859,0.001190536,0.0001509311,0.0004870751,0.0001882255,0.0001520897,0.0003518303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039269,"about_ca_system_score_gemma":0.000148513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004552119,"about_ca_topic_score_gemma":0.008302611,"domain_scores_codex":[0.9997026,0.00005183075,0.00002704772,0.00006072083,0.0001297201,0.00002809729],"domain_scores_gemma":[0.9995846,0.00008688268,0.00007824077,0.00004668776,0.0001803549,0.00002318019],"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":[0.001048419,0.0001516625,0.688168,0.0003134531,0.000461382,0.0004440132,0.0002041963,0.1082954,0.08251292,0.002416461,0.006607595,0.1093765],"study_design_scores_gemma":[0.00002422409,0.0000781812,0.9201137,0.00002095457,0.00006756972,0.0001722215,0.0001098282,0.05798268,0.01806459,0.0004527464,0.002882862,0.0000304218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775198,0.0005259864,0.004972411,0.00005848872,0.00002423551,0.00003043762,0.005449128,0.0002504338,0.01116916],"genre_scores_gemma":[0.9931546,0.0001013893,0.002408713,0.00001683063,0.00001428237,0.00001471391,0.003836812,0.00003226392,0.0004204104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004552119,"threshold_uncertainty_score":0.009051263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002067893651989427,"score_gpt":0.1783373442270684,"score_spread":0.176269450575079,"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."}}