{"id":"W4247918682","doi":"10.1016/s0168-9002(04)01288-4","title":"Hadronic calibration of the ATLAS liquid argon end-cap calorimeter in the pseudorapidity region 1.6<|η|<1.81.6<|η|<1.8 in beam tests","year":2004,"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":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pseudorapidity; Physics; Large Hadron Collider; Atlas (anatomy); Nuclear physics; Monte Carlo method; Hadron; Calorimeter (particle physics); Muon; Calibration; Beam (structure); Pion; Detector; Charged particle; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003827422,0.0006956775,0.0006414895,0.001914494,0.001779684,0.001840615,0.001678137,0.001483937,0.009047416],"category_scores_gemma":[0.003358969,0.0005880974,0.0004601734,0.002347688,0.0005681799,0.0009245045,0.00156809,0.0008196047,0.003084762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869477,"about_ca_system_score_gemma":0.001352023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457801,"about_ca_topic_score_gemma":0.008814303,"domain_scores_codex":[0.996089,0.0008602838,0.0001897373,0.0007180842,0.001728388,0.0004144631],"domain_scores_gemma":[0.9975643,0.0003979426,0.0001538189,0.0006248783,0.001155587,0.0001036316],"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":[0.01108811,0.000778024,0.1060591,0.001165347,0.0006056934,0.001036215,0.001419476,0.04987373,0.5504456,0.05054467,0.03544623,0.1915379],"study_design_scores_gemma":[0.0002059491,0.0007854449,0.1066096,0.0001149984,0.0002806796,0.0009078457,0.0002838723,0.03432409,0.7876868,0.004484103,0.06392215,0.0003944891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6631139,0.002215558,0.1535258,0.000783427,0.001162015,0.0004207736,0.01537028,0.01015943,0.1532488],"genre_scores_gemma":[0.969923,0.0002505483,0.01545369,0.0002564102,0.0000458787,0.0001068968,0.004098848,0.0005932705,0.009271464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009047416,"threshold_uncertainty_score":0.03026664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0491808906621242,"score_gpt":0.3449452982952809,"score_spread":0.2957644076331566,"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."}}