{"id":"W1883701165","doi":"10.1002/2013jd020480","title":"Spectral calibration and validation of the Cross‐track Infrared Sounder on the Suomi NPP satellite","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada)","funders":"","keywords":"Calibration; Remote sensing; Apodization; Satellite; Detector; Environmental science; Infrared; Track (disk drive); Radiometric calibration; Optics; Stability (learning theory); Physics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005657018,0.00008644697,0.0001293208,0.00001507498,0.0001036381,0.000216823,0.0002093452,0.00005337529,0.0001947987],"category_scores_gemma":[0.0002929484,0.00004651829,0.00009025907,0.000224724,0.0001818035,0.0004031475,0.00003403625,0.0004531269,0.000008353794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005346568,"about_ca_system_score_gemma":0.00005335925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004617864,"about_ca_topic_score_gemma":0.000008147053,"domain_scores_codex":[0.9985147,0.0001826195,0.0003033891,0.00007170739,0.000742566,0.0001849801],"domain_scores_gemma":[0.9990118,0.0003534874,0.00008242476,0.0001792707,0.0002972143,0.00007587681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003268045,0.0004560281,0.02138834,0.0002406477,0.0003355207,0.000006198193,0.001796386,0.004203181,0.8167309,0.0539226,0.07906396,0.0215294],"study_design_scores_gemma":[0.0005075879,0.0004450446,0.2456214,0.0001698738,0.00001552549,0.000007180502,0.0002953094,0.01249982,0.6714749,0.06541527,0.003392158,0.0001559424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952669,0.0001303315,0.0005884207,0.0009322421,0.00007854243,0.0002773264,0.000001434064,0.00002324492,0.00270158],"genre_scores_gemma":[0.9990102,0.000125803,0.0002434742,0.00005091763,0.0001757304,0.000008483556,6.037401e-7,0.00001373333,0.0003710604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2242331,"threshold_uncertainty_score":0.2132909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04175268295779623,"score_gpt":0.3012022662597775,"score_spread":0.2594495833019813,"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."}}