{"id":"W3217038096","doi":"10.1051/epjconf/202125301007","title":"Commissioning the ATLAS Liquid Argon Calorimeter Phase-I Upgrade","year":2021,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Upgrade; Large Hadron Collider; Atlas (anatomy); Calorimeter (particle physics); Physics; Nuclear physics; Detector; Shut down; Luminosity; Nuclear engineering; Engineering; Operating system; Computer science; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001118097,0.00009185509,0.0001427343,0.00001900694,0.0001190855,0.00004032621,0.0001626039,0.00001904856,0.001472604],"category_scores_gemma":[0.000008167497,0.00006021117,0.0000591048,0.0001293028,0.0000673717,0.00008222606,0.00004656386,0.000106807,0.00003620125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003118934,"about_ca_system_score_gemma":0.000431826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005013665,"about_ca_topic_score_gemma":0.000008245812,"domain_scores_codex":[0.9993476,0.00004346466,0.0001887829,0.0001165231,0.000141464,0.0001621176],"domain_scores_gemma":[0.9995528,0.0000907941,0.00008148079,0.0001561367,0.00007376629,0.00004494728],"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":[0.0003731898,0.0007311694,0.4950646,0.000064782,0.0005993824,0.00001128323,0.00504744,0.00007679688,0.3076783,0.09357452,0.01128542,0.08549307],"study_design_scores_gemma":[0.0005897749,0.00007499981,0.005394241,0.00004939585,0.00001845461,5.909455e-7,0.0004978138,0.001110811,0.8725188,0.0006304469,0.1189815,0.000133182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564825,0.0001221555,0.0002089942,0.0004083289,0.000181335,0.00004395704,0.000007023011,0.00001123709,0.04253442],"genre_scores_gemma":[0.9990405,0.000008728198,0.0001107848,0.0000273027,0.0001386773,0.000008297974,0.00001622321,0.000004241468,0.0006452567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5648404,"threshold_uncertainty_score":0.9994402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096365071383033,"score_gpt":0.2873181768407226,"score_spread":0.2563545261268922,"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."}}