{"id":"W2054469176","doi":"10.1103/physreva.87.062118","title":"Self-calibrating tomography for multidimensional systems","year":2013,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unitary state; Formalism (music); Tomography; Quantum tomography; Algorithm; Dipole; Measure (data warehouse); Mathematics; Computer science; Statistical physics; Quantum; Quantum state; Theoretical computer science; Physics; Quantum mechanics; Data mining; Optics","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":[0.002590393,0.0004160029,0.0006571136,0.0008824038,0.0006004417,0.001544751,0.001030971,0.001115108,0.001721283],"category_scores_gemma":[0.005660853,0.0003963616,0.000540585,0.000878424,0.004602744,0.003769398,0.002925921,0.002027106,0.0002797844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122921,"about_ca_system_score_gemma":0.0005700103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003027456,"about_ca_topic_score_gemma":0.000220713,"domain_scores_codex":[0.998762,0.0006687135,0.00005152465,0.0001643047,0.0002869238,0.00006644843],"domain_scores_gemma":[0.9972072,0.001484338,0.0002860862,0.0008332251,0.0001264407,0.0000626303],"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":[0.00003255659,0.00001656622,0.0002653726,0.00007266856,0.00001837324,0.00005626825,0.0001328506,0.0283638,0.007922011,0.9505957,0.0003546347,0.0121691],"study_design_scores_gemma":[0.0000137728,0.0000318848,0.0002331584,0.00003002074,0.000007900136,0.0001403826,0.00004720395,0.4300758,0.007800145,0.5591652,0.002421096,0.00003349363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02666668,0.0006588125,0.9656147,0.000465146,0.0000398455,0.00003834661,0.00005258694,0.0001484951,0.006315382],"genre_scores_gemma":[0.7768618,0.001092139,0.2194317,0.0002223859,0.00006642797,0.0001320473,0.00009312761,0.00007329061,0.002027073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002590393,"threshold_uncertainty_score":0.01369947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123870011557886,"score_gpt":0.2659146514265539,"score_spread":0.2535276502707653,"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."}}