{"id":"W1980739201","doi":"10.1016/j.nima.2004.07.212","title":"Straw tube tracking detector (STT) for ZEUS","year":2004,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"ZEUS (particle detector); Detector; Tracking (education); Tube (container); Computer science; Physics; Engineering; Optics; Mechanical engineering; Psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001605324,0.0003327813,0.0004236611,0.0003455591,0.000694769,0.000408021,0.000187983,0.0001296518,0.00009161405],"category_scores_gemma":[0.00005764788,0.0003267387,0.0001145131,0.0008189195,0.0001582934,0.0005161588,0.0001558729,0.0006768396,0.000003391816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111351,"about_ca_system_score_gemma":0.00009095404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104552,"about_ca_topic_score_gemma":0.00002924957,"domain_scores_codex":[0.9972341,0.0002603235,0.0004773854,0.0006228834,0.000445004,0.000960311],"domain_scores_gemma":[0.9990878,0.0001779315,0.0001585107,0.0001887429,0.0001329217,0.0002540952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002045589,0.0004674336,0.02747409,0.00006494682,0.0003591733,0.00000243999,0.002386427,0.00003871378,0.4308819,0.002043011,0.00002293552,0.5360543],"study_design_scores_gemma":[0.01085621,0.002097905,0.08503985,0.0003315594,0.00008018909,0.000004820705,0.002816917,0.003053413,0.8478093,0.0439883,0.002471186,0.001450326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958287,0.00003549021,0.002362192,0.00005584705,0.0003873041,0.000761863,0.00002913468,0.00005998576,0.0004794249],"genre_scores_gemma":[0.9869784,0.00007356396,0.01243389,0.00003434944,0.0002554125,0.0001291692,0.00001182907,0.00005852324,0.00002482687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.534604,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06586464900082277,"score_gpt":0.3889487253333207,"score_spread":0.3230840763324979,"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."}}