{"id":"W2026436345","doi":"10.1088/1742-6596/396/2/022041","title":"Methods to quantify the performance of the primary vertex reconstruction in the ATLAS experiment under high luminosity conditions","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Atlas (anatomy); Large Hadron Collider; Vertex (graph theory); Monte Carlo method; Luminosity; Physics; Computer science; Software; Algorithm; Particle physics; Statistical physics; Theoretical computer science; Mathematics; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005006906,0.0001008339,0.0001702547,0.00002266686,0.0001806798,0.00003624548,0.0003038224,0.00001833531,0.00006025469],"category_scores_gemma":[0.000005193831,0.00005143819,0.00007756826,0.0002158823,0.0001396792,0.0005655513,0.00005198569,0.0002254539,0.000004597184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002825536,"about_ca_system_score_gemma":0.0001225096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002482205,"about_ca_topic_score_gemma":0.00000273001,"domain_scores_codex":[0.9990984,0.0001692688,0.000301614,0.00005754592,0.0002005489,0.0001726269],"domain_scores_gemma":[0.9992811,0.0001048644,0.000278929,0.0001824742,0.0001190338,0.0000335953],"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":[0.0001536464,0.000322906,0.4991089,0.00003652813,0.0001745258,1.72144e-7,0.01787074,0.0005125811,0.2766318,0.1071278,0.0002920121,0.0977684],"study_design_scores_gemma":[0.0001367691,0.00004798518,0.4656335,0.00004509299,0.00001874606,0.000004803457,0.001958461,0.00004720638,0.5300723,0.001792799,0.0001785371,0.00006384072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965472,0.00002788265,0.001845641,0.0004827084,0.0005198044,0.0001250053,0.000005508773,0.000001871838,0.0004443848],"genre_scores_gemma":[0.9986573,0.00000867633,0.001037947,0.00005934226,0.0001878086,0.00001216371,0.000001360861,0.000004296949,0.00003106408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2534405,"threshold_uncertainty_score":0.2097588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846121481994382,"score_gpt":0.3074766391806744,"score_spread":0.2690154243607306,"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."}}