{"id":"W4393335167","doi":"10.1088/1367-2630/ada05d","title":"Properties and applications of the Kirkwood–Dirac distribution","year":2024,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Girton College, University of Cambridge; Canada Research Chairs; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; John Templeton Foundation","keywords":"Wigner distribution function; Statistical physics; Quantum state; Quantum statistical mechanics; Observable; Probability distribution; Quantum mechanics; Quantum; Physics; Theoretical physics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002953791,0.0003229983,0.0005415544,0.002265133,0.0009702279,0.002306326,0.00115537,0.0009264409,0.004379231],"category_scores_gemma":[0.01638927,0.0002698627,0.0004310777,0.002053185,0.00290835,0.004049698,0.001605284,0.001427456,0.0008094909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557652,"about_ca_system_score_gemma":0.001092342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529898,"about_ca_topic_score_gemma":0.0004697982,"domain_scores_codex":[0.9979872,0.0006654544,0.0001344786,0.0002619202,0.0007601743,0.0001908423],"domain_scores_gemma":[0.9903812,0.005371855,0.000794279,0.000935594,0.002042389,0.0004746123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001846683,0.000009548084,0.0006076887,0.00002089867,0.000005757405,0.00008453098,0.00009906272,0.00488827,0.0005566635,0.987251,0.000507718,0.005950362],"study_design_scores_gemma":[0.00001040235,0.00002331147,0.0006180993,0.0000324726,0.000004774887,0.0003262282,0.00009441882,0.11955,0.001097479,0.873369,0.004839906,0.00003394824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.097436,0.001415951,0.8583004,0.001163421,0.0002573613,0.00007718984,0.0001981672,0.0002325239,0.04091888],"genre_scores_gemma":[0.9523898,0.0008770825,0.03897576,0.0002736059,0.0002426797,0.00009035904,0.0001269302,0.0001019736,0.006921811],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004379231,"threshold_uncertainty_score":0.01562136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810449016746988,"score_gpt":0.2416675124563757,"score_spread":0.2235630222889058,"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."}}