{"id":"W2038710373","doi":"10.1103/physreva.80.052114","title":"How to perform the most accurate possible phase measurements","year":2009,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council; Ministerio de Economía y Competitividad","keywords":"Phase (matter); Ambiguity; Statistical physics; Interferometry; Uncertainty principle; Key (lock); Limit (mathematics); Computer science; Algorithm; Physics; Quantum; Mathematics; Quantum mechanics; Mathematical analysis","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":[0.003560612,0.00172136,0.001740439,0.002225845,0.001518849,0.003640114,0.002662111,0.002562229,0.005206792],"category_scores_gemma":[0.01651751,0.001711727,0.001042661,0.001570409,0.003556044,0.008429155,0.002539671,0.004038649,0.006677513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171466,"about_ca_system_score_gemma":0.003059825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666253,"about_ca_topic_score_gemma":0.001200817,"domain_scores_codex":[0.9955702,0.001069946,0.0002984306,0.001108885,0.001701729,0.0002507302],"domain_scores_gemma":[0.993743,0.001909797,0.0005664992,0.002317735,0.001248397,0.000214577],"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":[0.0002666543,0.000185536,0.001462682,0.001226779,0.0002025228,0.0002082133,0.0005445919,0.08366714,0.08432595,0.28638,0.01717101,0.5243589],"study_design_scores_gemma":[0.0000966186,0.0001662467,0.0007655317,0.0003500021,0.00008132774,0.0003743378,0.0003594352,0.247854,0.07367665,0.6178557,0.05816979,0.0002502855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002353551,0.0004866164,0.9919987,0.001065827,0.0001309059,0.00006678191,0.0001606473,0.0007486006,0.002988386],"genre_scores_gemma":[0.0451422,0.0006892281,0.9518894,0.0002835138,0.0001413968,0.0001667326,0.0002656126,0.0003577902,0.001064132],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005206792,"threshold_uncertainty_score":0.0188306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543767763941219,"score_gpt":0.3461140715654546,"score_spread":0.2906763939260424,"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."}}