{"id":"W4390878041","doi":"10.22323/1.450.0002","title":"ATLAS Inner TracKer Upgrade","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 Toronto; University of New Brunswick","funders":"","keywords":"Pseudorapidity; Large Hadron Collider; Tracking (education); Atlas (anatomy); Physics; Detector; Upgrade; ATLAS experiment; Silicon; Interaction point; STRIPS; Tracking system; Nuclear physics; Pixel; Optics; Particle physics; Charged particle; Optoelectronics; Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004159388,0.00006199683,0.00004756539,0.00002665792,0.00003329995,0.00006535927,0.00004891145,0.00001110082,0.006445392],"category_scores_gemma":[3.255367e-7,0.00004630712,0.00003220374,0.0001310388,0.00001163876,0.0001402559,0.00001292536,0.00006697003,0.002162722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005197842,"about_ca_system_score_gemma":0.00002112494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002210172,"about_ca_topic_score_gemma":0.000001073137,"domain_scores_codex":[0.9996136,0.000004186954,0.00007948122,0.0001041288,0.0000606003,0.0001380115],"domain_scores_gemma":[0.9998742,0.00001378629,0.00000514997,0.00006533324,0.000006591866,0.0000349609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001504549,0.00009451579,0.3568932,0.00004803484,0.0002421197,0.0000133269,0.001711943,0.00003158437,0.02407101,0.1763671,0.09886056,0.3416515],"study_design_scores_gemma":[0.0003398148,0.00002900979,0.08649196,0.00004481423,0.00002410127,0.00000206539,0.0001465465,0.01411594,0.2133757,0.008142276,0.6767972,0.00049053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163718,0.00004078953,0.0006815584,0.0002224519,0.0002434427,0.00003545028,0.000002953808,0.0000854465,0.08231609],"genre_scores_gemma":[0.9898458,0.000001077408,0.0002244288,0.00003200557,0.0002446978,0.00001059635,0.000007664858,0.000007312237,0.009626438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5779366,"threshold_uncertainty_score":0.9986142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193262552203959,"score_gpt":0.2471914145484082,"score_spread":0.2352587890263685,"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."}}