{"id":"W2152978398","doi":"10.1088/1748-0221/8/05/p05006","title":"Performance of the ATLAS liquid argon forward calorimeter in beam tests","year":2013,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; University of Toronto; Carleton University; National Research Council Canada","funders":"","keywords":"Atlas (anatomy); Calorimeter (particle physics); Nuclear physics; Beam (structure); Materials science; Physics; Nuclear engineering; Optics; Engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00233722,0.0009709839,0.001317454,0.0008669784,0.0008303476,0.001165695,0.001847998,0.00159402,0.005878193],"category_scores_gemma":[0.002791965,0.0006350738,0.0004472297,0.001320336,0.0005813091,0.0009048437,0.001268509,0.0005702141,0.001878884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152096,"about_ca_system_score_gemma":0.0009233878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273973,"about_ca_topic_score_gemma":0.001727058,"domain_scores_codex":[0.9964234,0.0005645951,0.0002269925,0.0005889635,0.001669009,0.000527038],"domain_scores_gemma":[0.9972487,0.0009827918,0.0001694044,0.0005580132,0.000893094,0.0001479702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0108563,0.000488969,0.03530988,0.0005035888,0.0002997746,0.0009672285,0.0010667,0.02213115,0.8771032,0.001026951,0.003424985,0.04682121],"study_design_scores_gemma":[0.00008352673,0.001501811,0.01533041,0.00001708632,0.0000618406,0.0002229826,0.0001468972,0.01237865,0.9661582,0.0001163348,0.003906888,0.00007549776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870264,0.0002827145,0.007377001,0.00007648891,0.00005229633,0.00007025673,0.001723368,0.001397689,0.001993736],"genre_scores_gemma":[0.9920254,0.0001416782,0.003309511,0.0000977924,0.00001226705,0.00005818316,0.001081558,0.0001716536,0.003102001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005878193,"threshold_uncertainty_score":0.01966447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009147154728983663,"score_gpt":0.2318146929917657,"score_spread":0.222667538262782,"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."}}