{"id":"W2612098824","doi":"","title":"Beam Condition Monitoring with Diamonds at CDF","year":2007,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Genève; Ohio State University; University of California, Los Angeles; University of Toronto; U.S. Department of Energy","keywords":"Collider Detector at Fermilab; Tevatron; Fermilab; Large Hadron Collider; Physics; Collider; Nuclear physics; Beam (structure); Particle accelerator; Detector; Particle physics; Beam dump; Nuclear engineering; Engineering; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005480592,0.0006972725,0.001078806,0.00227062,0.001628184,0.001710473,0.00109499,0.001250757,0.01322563],"category_scores_gemma":[0.004121175,0.0005121327,0.0004782503,0.001804854,0.000610755,0.002056654,0.001612844,0.001106258,0.001765382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002976295,"about_ca_system_score_gemma":0.001400766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467582,"about_ca_topic_score_gemma":0.005037927,"domain_scores_codex":[0.9972905,0.0005017951,0.00007292652,0.000441272,0.00130143,0.0003921858],"domain_scores_gemma":[0.9959572,0.001560439,0.000456415,0.0006075244,0.00102148,0.00039696],"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":[0.01399775,0.0008256756,0.07440835,0.001196014,0.0004013746,0.0013624,0.002086991,0.01799167,0.3014282,0.02860843,0.1690125,0.3886806],"study_design_scores_gemma":[0.001322199,0.003107828,0.05643225,0.00028251,0.000289019,0.002352249,0.0005521884,0.0477802,0.528961,0.01383487,0.3446211,0.0004646839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035847,0.013673,0.1429056,0.009437615,0.002464617,0.0006723164,0.02918129,0.04440708,0.1536738],"genre_scores_gemma":[0.9384026,0.0009780313,0.03786064,0.0005707336,0.0002537773,0.0001276569,0.006659215,0.001185638,0.01396158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01322563,"threshold_uncertainty_score":0.04424411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007851345764659906,"score_gpt":0.1696076665125169,"score_spread":0.161756320747857,"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."}}