{"id":"W2136903510","doi":"10.1109/nssmic.2008.4774977","title":"First results of the PixelGEM central tracking system of COMPASS","year":2008,"lang":"en","type":"article","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CERN; McGill University","keywords":"Compass; Tracking (education); Large Hadron Collider; Physics; Beam (structure); Hadron; Resolution (logic); Intensity (physics); Particle physics; Nuclear physics; Optics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004918403,0.00005650921,0.000113469,0.00001193951,0.00008394268,0.000002938761,0.0001283659,0.00001096459,0.00003766684],"category_scores_gemma":[0.000001630913,0.00003673439,0.00005936014,0.0001156964,0.00004505363,0.00005319446,0.00002510477,0.00004191919,0.000005993051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009314929,"about_ca_system_score_gemma":0.00002767234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001489219,"about_ca_topic_score_gemma":0.00001012897,"domain_scores_codex":[0.9994301,0.00001246328,0.0002396597,0.00006809188,0.0001136657,0.0001360684],"domain_scores_gemma":[0.9996576,0.00002757739,0.0001124298,0.0001436788,0.00003494554,0.00002381544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000558795,0.00006371461,0.9888096,0.0000509645,0.00004483151,4.486986e-7,0.001639526,0.0005006607,0.003231608,0.004156161,0.0007571835,0.0006893707],"study_design_scores_gemma":[0.0006868058,0.00001232596,0.7125266,0.00006659923,0.00000681124,0.000001380075,0.0002479884,0.004189413,0.2810552,0.00001053639,0.001123911,0.00007238286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857947,0.000006263231,0.0002389027,0.00003715635,0.0001195164,0.00007128253,0.00001674244,0.00001005379,0.01370545],"genre_scores_gemma":[0.9996082,5.827418e-7,0.0001086437,0.000002077124,0.00004560803,0.000002014331,0.000001899631,0.0000033341,0.0002275975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2778236,"threshold_uncertainty_score":0.1497985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152927864722009,"score_gpt":0.2127307229379781,"score_spread":0.191201444290758,"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."}}