{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003452263,0.001576984,0.002141419,0.002439908,0.001737092,0.00461623,0.003880508,0.001951287,0.1235156],"category_scores_gemma":[0.004416059,0.001008451,0.001388454,0.002759333,0.0003674282,0.003203904,0.004494898,0.002116274,0.1192902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381424,"about_ca_system_score_gemma":0.003578937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047842,"about_ca_topic_score_gemma":0.005490181,"domain_scores_codex":[0.9972008,0.0002408341,0.0001413442,0.0005004797,0.001558515,0.0003580757],"domain_scores_gemma":[0.9963661,0.0002412095,0.0001644617,0.0007124717,0.002096236,0.0004193847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001548487,0.0001198718,0.008708491,0.0005307329,0.000182646,0.0004800902,0.0002284994,0.002982059,0.01107826,0.01771186,0.8259775,0.1304515],"study_design_scores_gemma":[0.000136287,0.0001746586,0.002458474,0.00004937991,0.00009535425,0.0009173803,0.00003265282,0.005506479,0.009664937,0.002183911,0.9786805,0.0001000382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01792464,0.004067624,0.1396504,0.002008053,0.004711036,0.0009130875,0.07330889,0.1831553,0.574261],"genre_scores_gemma":[0.15728,0.00270584,0.1477614,0.006026096,0.001843093,0.001618199,0.3012013,0.02684685,0.3547173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1235156,"threshold_uncertainty_score":0.4132008,"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."}}