{"id":"W7155015023","doi":"10.34657/34201","title":"Warm Calibration Unit (WCU) für METIS/ELT: die WCU in Phase C und Phase D des Projekts","year":2025,"lang":"en","type":"report","venue":"TIB Repositorium","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Calibration; Phase (matter)","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":[0.006515748,0.001303732,0.000682392,0.001452141,0.001282277,0.003089312,0.001647879,0.002009782,0.02082728],"category_scores_gemma":[0.004764145,0.0007210115,0.0008384806,0.0009819709,0.00111142,0.002048769,0.002353344,0.002670981,0.01199312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276378,"about_ca_system_score_gemma":0.003682478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217753,"about_ca_topic_score_gemma":0.001854694,"domain_scores_codex":[0.9933982,0.001172163,0.0002094693,0.0006574692,0.004129713,0.0004329312],"domain_scores_gemma":[0.9951433,0.0003852011,0.0003254278,0.0006569345,0.003047602,0.0004415339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001646383,0.0002811609,0.006858539,0.001666428,0.0001016194,0.0003617736,0.001113146,0.008028261,0.2738503,0.03689705,0.1042143,0.5649811],"study_design_scores_gemma":[0.0001486619,0.00159477,0.00578034,0.000199679,0.00006024498,0.0005315245,0.0002087475,0.005580914,0.1851909,0.002024719,0.798552,0.0001275459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05880268,0.006024653,0.7708862,0.00471843,0.004758333,0.003752904,0.003225121,0.01955731,0.1282744],"genre_scores_gemma":[0.2426003,0.002673794,0.5409724,0.003003047,0.0006892199,0.003565577,0.005224067,0.004544386,0.1967272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02082728,"threshold_uncertainty_score":0.06967425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07284373466130983,"score_gpt":0.4342272361155745,"score_spread":0.3613835014542646,"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."}}