{"id":"W4400971598","doi":"10.1117/12.3020397","title":"Implementation plans for the data reduction pipeline for METIS at the ELT","year":2024,"lang":"en","type":"article","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; Pipeline (software); Reduction (mathematics); Database; Programming language; Mathematics","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":[0.0158293,0.001293896,0.0007045816,0.002265811,0.001887272,0.004088505,0.003989035,0.001336239,0.04094328],"category_scores_gemma":[0.0184826,0.001484266,0.00171386,0.001595535,0.0009774328,0.003413206,0.002804763,0.00429109,0.0388422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003402533,"about_ca_system_score_gemma":0.008391449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423185,"about_ca_topic_score_gemma":0.008517562,"domain_scores_codex":[0.9949066,0.000797938,0.0003346148,0.0008498243,0.002252782,0.0008583319],"domain_scores_gemma":[0.9881699,0.001307257,0.0003717998,0.002536337,0.006005235,0.001609441],"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":[0.002209619,0.001212143,0.01849197,0.001293592,0.0002023842,0.0006451064,0.002751663,0.02185443,0.05982289,0.03551931,0.5925747,0.2634222],"study_design_scores_gemma":[0.0007389698,0.0008800433,0.01524421,0.0003212549,0.00008594321,0.0003602863,0.0007011802,0.05313783,0.0424242,0.01564482,0.8700914,0.0003697953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02331798,0.0004108335,0.6171881,0.005163516,0.001051619,0.007936964,0.04439272,0.2597494,0.04078885],"genre_scores_gemma":[0.05387047,0.0003278388,0.7599658,0.001445835,0.000186547,0.006643417,0.1174607,0.03672005,0.02337931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04094328,"threshold_uncertainty_score":0.1369689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06291508508412381,"score_gpt":0.3624912479463423,"score_spread":0.2995761628622185,"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."}}