{"id":"W2116890830","doi":"10.1016/j.nima.2011.12.009","title":"Liquid argon calorimeter performance at high rates","year":2011,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Large Hadron Collider; Calorimeter (particle physics); Physics; Luminosity; Nuclear physics; Hadron; Atlas (anatomy); Beam (structure); Particle physics; Detector; Optics; Astrophysics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001389848,0.0003266447,0.0003947759,0.0003318916,0.0006352076,0.0001506137,0.0001871769,0.0001182616,0.000484502],"category_scores_gemma":[0.00002118249,0.0003022821,0.0000717974,0.0007895607,0.0001968612,0.0005093243,0.0003493525,0.0006569377,0.00001672639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004087186,"about_ca_system_score_gemma":0.00004020374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241609,"about_ca_topic_score_gemma":0.000020146,"domain_scores_codex":[0.9972368,0.0004314176,0.0004400732,0.0005813596,0.0004365279,0.0008737636],"domain_scores_gemma":[0.999181,0.00009584115,0.0001602091,0.0002164004,0.00009950269,0.0002470549],"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":[0.001134445,0.0008007915,0.4204669,0.00008568827,0.0006151418,0.000005993766,0.006543017,0.00000610078,0.361493,0.001009912,0.0001281245,0.207711],"study_design_scores_gemma":[0.002371251,0.001649395,0.2040659,0.0001134902,0.00003364229,0.000002027018,0.0006313891,0.001746417,0.7855265,0.001977704,0.001171105,0.0007111547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965504,0.00002471183,0.00009259078,0.00001547113,0.000420752,0.000374542,0.00001150009,0.00004873034,0.002461273],"genre_scores_gemma":[0.9946065,0.0001742251,0.004783179,0.0000330424,0.000150641,0.00006874782,0.00001189753,0.00004834106,0.0001234379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4240335,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07158486225418254,"score_gpt":0.3558907931391348,"score_spread":0.2843059308849523,"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."}}