{"id":"W1971363784","doi":"10.1103/physreva.82.063419","title":"Optimization of Yb<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow/><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>fluorescence and hyperfine-qubit detection","year":2010,"lang":"lv","type":"article","venue":"Physical Review A","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Physics; Population; Hyperfine structure; Trapping; Fluorescence; Atomic physics; Ion; Analytical Chemistry (journal); Optics; Chemistry; Biology; Quantum mechanics","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":[0.0003808317,0.000644954,0.0005055616,0.0002315007,0.0003475576,0.0007880499,0.0004274615,0.000359845,0.00259548],"category_scores_gemma":[0.0005693642,0.0003105779,0.0001842748,0.0004722957,0.0002538012,0.0003454234,0.0005246596,0.0005139565,0.0009047307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008391416,"about_ca_system_score_gemma":0.0007472361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513752,"about_ca_topic_score_gemma":0.004076629,"domain_scores_codex":[0.9998289,0.00001575915,0.00001540109,0.00005048889,0.00005205497,0.00003730867],"domain_scores_gemma":[0.9998556,0.00003254325,0.00004897136,0.00001641526,0.00003177793,0.00001459377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001871682,0.000122065,0.0005404144,0.0003203626,0.00002879235,0.0000599352,0.00005118342,0.003462246,0.9837622,0.001530562,0.0007406867,0.009194451],"study_design_scores_gemma":[0.00003174924,0.0002083913,0.001053219,0.00001097316,0.00002059708,0.00003381204,0.0000364604,0.004310641,0.9882681,0.0001445789,0.00586466,0.00001689363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668975,0.002343482,0.01657191,0.000404401,0.00006397576,0.0001902434,0.001204892,0.0003794842,0.01194401],"genre_scores_gemma":[0.9758959,0.001998527,0.01647275,0.00006905659,0.000008626177,0.0002232612,0.0007879387,0.0002349117,0.004309124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00259548,"threshold_uncertainty_score":0.008682787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391826527039011,"score_gpt":0.2471735813326478,"score_spread":0.2332553160622577,"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."}}