{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002554854,0.001608073,0.002168207,0.002020914,0.0005145937,0.0007024003,0.001085846,0.001632981,0.0001003037],"category_scores_gemma":[0.001841104,0.001644477,0.0005554986,0.002638527,0.0004265634,0.0009732289,0.0005205213,0.001951219,0.0003154319],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004409629,"about_ca_system_score_gemma":0.007638739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010201,"about_ca_topic_score_gemma":0.001909856,"domain_scores_codex":[0.9892761,0.0009051433,0.002937878,0.002225412,0.003143658,0.001511774],"domain_scores_gemma":[0.9928965,0.0003534987,0.001953566,0.002389955,0.001873314,0.000533177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007458018,0.03425193,0.01143097,0.0179672,0.007902334,0.04550646,0.006893995,0.0003322561,0.3276454,0.0007226579,0.4421387,0.09775004],"study_design_scores_gemma":[0.009301338,0.001044513,0.0002677391,0.003085949,0.002386124,0.000573124,0.0001196983,0.0009097776,0.1137349,0.0003329075,0.8659399,0.002303999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2377272,0.05810838,0.001739733,0.0003674433,0.05290261,0.01653674,0.005839702,0.005549058,0.6212292],"genre_scores_gemma":[0.4806974,0.004081645,0.003864917,0.0001963952,0.02796939,0.003777441,0.02772273,0.003218931,0.4484711],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4238012,"threshold_uncertainty_score":0.9996667,"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."}}