{"id":"W4405595466","doi":"10.22323/1.476.0940","title":"The ATLAS Inner Tracker Strip Detector system tests - development of DAQ and DCS","year":2024,"lang":"en","type":"article","venue":"","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","funders":"Deutsches Elektronen-Synchrotron; CERN","keywords":"Detector; Data acquisition; Testbed; Atlas (anatomy); Computer hardware; Computer science; Tracking system; Large Hadron Collider; Physics; Operating system; Telecommunications; Particle physics","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":[0.005611814,0.0007932474,0.0006930794,0.001078458,0.0007435398,0.001799166,0.001577575,0.0007945221,0.007122292],"category_scores_gemma":[0.00355499,0.0004298319,0.0004148153,0.0008328299,0.0008323602,0.001103484,0.001401002,0.001041042,0.003490438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802646,"about_ca_system_score_gemma":0.002477735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642649,"about_ca_topic_score_gemma":0.002358391,"domain_scores_codex":[0.9955831,0.0007313552,0.0001776464,0.0005665216,0.002497045,0.0004442548],"domain_scores_gemma":[0.9962277,0.0004079861,0.0002185094,0.0007869427,0.002003545,0.0003552561],"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":[0.007719664,0.00161429,0.08479039,0.001576304,0.0004610578,0.001282762,0.002579062,0.05617053,0.5135162,0.023621,0.0580329,0.2486358],"study_design_scores_gemma":[0.0006917485,0.007153601,0.04901009,0.0001450492,0.0001408945,0.001319957,0.0006257761,0.05192937,0.6981541,0.002114651,0.1884352,0.0002794374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.730741,0.001016355,0.1733192,0.0007343923,0.0005385487,0.003186764,0.01729961,0.02041581,0.05274832],"genre_scores_gemma":[0.8818093,0.0002504142,0.08224148,0.0003738527,0.00007779067,0.001214038,0.01576072,0.002310298,0.01596211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007122292,"threshold_uncertainty_score":0.0296784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218409149965093,"score_gpt":0.2349511081639097,"score_spread":0.2227670166642587,"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."}}