{"id":"W2026234892","doi":"10.1117/12.620269","title":"New USDA UVB synthetic spectra algorithm","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiometer; Algorithm; Spectral line; Computer science; Remote sensing; Zenith; Environmental science; Ultraviolet; Irradiance; Integrating sphere; Spectral resolution; Physics; Optics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00213161,0.001530636,0.001177376,0.002912446,0.001119294,0.003710849,0.003053613,0.001598068,0.02778859],"category_scores_gemma":[0.005428699,0.0008188686,0.001275723,0.002570676,0.000538657,0.002910823,0.001988592,0.001691283,0.01443505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437935,"about_ca_system_score_gemma":0.001969457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007862218,"about_ca_topic_score_gemma":0.008175984,"domain_scores_codex":[0.9988971,0.0002164298,0.00005156505,0.0003208533,0.000433504,0.00008054203],"domain_scores_gemma":[0.9986355,0.0002468033,0.0001006593,0.0003040568,0.0006645291,0.00004838083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003836957,0.0002084814,0.002639285,0.0002231357,0.0001372192,0.0001204184,0.0001181481,0.1729993,0.004906288,0.03946548,0.09489864,0.6838998],"study_design_scores_gemma":[0.00007586915,0.00002935062,0.0006660754,0.00003536152,0.00002012026,0.0001070856,0.00007178674,0.8943895,0.003008076,0.03447293,0.06708685,0.00003708214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004696939,0.000315784,0.9707313,0.0004248175,0.0003269513,0.0001759353,0.002856948,0.007537352,0.01293406],"genre_scores_gemma":[0.03242908,0.0002015317,0.9464222,0.0002886612,0.00008720477,0.0003404668,0.009629777,0.00175256,0.008848712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02778859,"threshold_uncertainty_score":0.09296209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134310732693694,"score_gpt":0.2189202325500647,"score_spread":0.2075771252231277,"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."}}