{"id":"W2619431038","doi":"10.1088/1748-0221/12/05/p05022","title":"Test beam performance measurements for the Phase I upgrade of the CMS pixel detector","year":2017,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsches Elektronen-Synchrotron; Science and Technology Facilities Council","keywords":"Upgrade; Detector; Pixel; Physics; Large Hadron Collider; Tracking (education); Comparator; Bandwidth (computing); Optics; Gas electron multiplier; Chip; Beam (structure); Image resolution; Monte Carlo method; Dot pitch; Phase (matter); Nuclear physics; Computer science; Voltage; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003211519,0.00007182421,0.00009887961,0.00002259476,0.0004553216,0.00006156322,0.0003436127,0.00001153248,0.00002531943],"category_scores_gemma":[0.00003395202,0.00003986376,0.00009434559,0.00003995582,0.00005684282,0.0003950092,0.00002405501,0.00008553652,0.000001810635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002516756,"about_ca_system_score_gemma":0.00006733376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008066689,"about_ca_topic_score_gemma":0.000002317913,"domain_scores_codex":[0.99929,0.000009726416,0.000307512,0.00004828874,0.0002359751,0.0001085373],"domain_scores_gemma":[0.9987994,0.0000507152,0.0008199201,0.0001716502,0.0001320992,0.000026234],"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":[0.0001031272,0.0001057943,0.6551123,0.00001505876,0.00009254622,2.939047e-8,0.0003878237,0.00005378679,0.1886537,0.00001323914,0.0001068041,0.1553558],"study_design_scores_gemma":[0.001889716,0.0001143055,0.3769933,0.0000455287,0.00004513975,0.000001221813,0.0001055329,0.001083611,0.619257,0.00005563519,0.0003615705,0.00004738015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983542,0.00001171957,0.0006060161,0.000187842,0.0005174063,0.0001830285,0.00001079262,0.000001336515,0.0001276574],"genre_scores_gemma":[0.9994289,0.000006333942,0.0002787639,0.00001536719,0.0002173779,0.000007807401,0.000001010715,0.000005662417,0.00003882344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4306033,"threshold_uncertainty_score":0.3502012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929957381416025,"score_gpt":0.3112787038779379,"score_spread":0.2619791300637777,"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."}}