{"id":"W4408937344","doi":"10.1051/0004-6361/202450759","title":"In-flight radiometric calibration of the Metis UV H I Ly-<i>α</i> channel and comparison with UVCS data","year":2025,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uniwersytet Wrocławski; Bundesministerium für Wirtschaft und Energie; National Aeronautics and Space Administration; Akademie Věd České Republiky; Ministero dell’Istruzione, dell’Università e della Ricerca; Università di Catania","keywords":"Physics; Astrophysics; Metis; Astronomy; Calibration; Radiometric calibration","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":[0.0007075315,0.0004950367,0.0002213096,0.001086049,0.0002817919,0.0005477567,0.000399803,0.000271702,0.001208443],"category_scores_gemma":[0.001207893,0.0001283897,0.0003348099,0.001028722,0.0001405052,0.0003014964,0.0002919176,0.0003029821,0.0006494512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397838,"about_ca_system_score_gemma":0.0002788799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005246638,"about_ca_topic_score_gemma":0.01041288,"domain_scores_codex":[0.9996394,0.00003849897,0.00001627626,0.0001165364,0.0001389035,0.00005023319],"domain_scores_gemma":[0.999115,0.00007102902,0.0002134887,0.0001866206,0.0003597257,0.00005411039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008809443,0.0003111563,0.6195503,0.0005149894,0.0004895321,0.0005089158,0.0009873807,0.01661524,0.2100178,0.0009562687,0.0108195,0.138348],"study_design_scores_gemma":[0.00002764628,0.0001329672,0.9012098,0.00003650562,0.0001304596,0.000347112,0.00019408,0.01439749,0.06424591,0.0001671965,0.01907708,0.0000336413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971559,0.00041237,0.01314319,0.00009431788,0.0001145673,0.0000817495,0.006127154,0.001083591,0.007384086],"genre_scores_gemma":[0.9612615,0.0001799095,0.02197263,0.00007406082,0.00009364192,0.00005989996,0.01417819,0.0004082979,0.001771939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005246638,"threshold_uncertainty_score":0.01043218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496395645843498,"score_gpt":0.2198249614141075,"score_spread":0.2048610049556726,"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."}}