{"id":"W2902059896","doi":"10.22323/1.316.0097","title":"Muon identification and performance in the ATLAS experiment","year":2018,"lang":"en","type":"article","venue":"Proceedings of XXVI International Workshop on Deep-Inelastic Scattering and Related Subjects — PoS(DIS2018)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; TRIUMF","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Large Hadron Collider; Muon; Atlas (anatomy); Physics; Nuclear physics; Particle physics; Calibration; ATLAS experiment; Identification (biology); Particle identification; Transverse plane; Detector; Optics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002790489,0.0007812134,0.0007208892,0.001284053,0.0006975686,0.002412379,0.0006903132,0.0008364305,0.005709074],"category_scores_gemma":[0.003016197,0.0002838655,0.0003756414,0.002323552,0.0003114147,0.001305687,0.001361419,0.0003335559,0.00242432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009965812,"about_ca_system_score_gemma":0.0006107684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426696,"about_ca_topic_score_gemma":0.002677389,"domain_scores_codex":[0.9979078,0.000332327,0.0001094301,0.000473744,0.0008927583,0.0002839633],"domain_scores_gemma":[0.9986149,0.0005260963,0.0001212246,0.000198653,0.0003973611,0.0001417694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05406057,0.0007824317,0.2007075,0.001888143,0.001374578,0.002246302,0.001509446,0.09882489,0.2274907,0.03602706,0.05208468,0.3230036],"study_design_scores_gemma":[0.00086564,0.005064022,0.1960824,0.0001563817,0.001099452,0.002561202,0.000842847,0.2106152,0.4848807,0.00837809,0.08885401,0.0006000524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048899,0.003461706,0.02596421,0.0004107657,0.0001378051,0.00009366604,0.01518796,0.01155615,0.03829803],"genre_scores_gemma":[0.9729928,0.0003744017,0.007457885,0.0001076355,0.00004809984,0.00003178875,0.01196129,0.0005080818,0.006518036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005709074,"threshold_uncertainty_score":0.01909876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047988512687302,"score_gpt":0.246550319236427,"score_spread":0.236070434109554,"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."}}