{"id":"W4399663137","doi":"10.1117/12.3018921","title":"Final optical design of relay optics and alignment optics of the Warm Calibration Unit in METIS/ELT: analysis, performances, and the procurement of the optics","year":2024,"lang":"en","type":"article","venue":"","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optics; Metis; Calibration; Relay; Procurement; Adaptive optics; Geometrical optics; Physics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006197279,0.0001505955,0.0003069777,0.00006516992,0.00008341093,0.00004224747,0.0001504277,0.00004219986,0.00001024968],"category_scores_gemma":[0.00001479682,0.00007235316,0.0001117718,0.0004223442,0.0004210103,0.00007842487,0.0001812664,0.0001782358,1.151491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340422,"about_ca_system_score_gemma":0.0000939756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007173524,"about_ca_topic_score_gemma":0.00001393994,"domain_scores_codex":[0.9987561,0.0001123124,0.0004885527,0.0001748907,0.0003147595,0.0001533529],"domain_scores_gemma":[0.9992092,0.0002360566,0.0001727718,0.0002640297,0.00008691938,0.00003100331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001052474,0.0001765687,0.01936035,0.0001271903,0.0009488165,6.925761e-7,0.002002032,0.1320842,0.002360284,0.8412936,0.0000232611,0.001517758],"study_design_scores_gemma":[0.0006282207,0.00009415625,0.004139938,0.0001401798,0.0008727866,0.000001154534,0.001375706,0.9649109,0.02446856,0.003219263,0.00003145307,0.000117723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7640137,0.0005198878,0.230704,0.001108622,0.0001163357,0.0009749368,0.00003184058,0.000006079281,0.002524584],"genre_scores_gemma":[0.9849709,0.00008689232,0.01467447,0.00001452771,0.00003009626,0.00000599805,0.000003835645,0.000009930865,0.0002033042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8380743,"threshold_uncertainty_score":0.2950476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679314500006054,"score_gpt":0.2481159165022908,"score_spread":0.2213227715022302,"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."}}