{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001489574,0.000117019,0.0002331331,0.00004798172,0.0000921566,0.00009573651,0.000294959,0.0000153022,0.000007712492],"category_scores_gemma":[0.00003382706,0.0000856449,0.0002446772,0.000442143,0.00001634189,0.0007828479,0.00006632035,0.0000653317,0.0002041259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006081394,"about_ca_system_score_gemma":0.00002011862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005136579,"about_ca_topic_score_gemma":4.311191e-8,"domain_scores_codex":[0.9990771,0.00004392786,0.0002622345,0.0001809571,0.000228381,0.0002073913],"domain_scores_gemma":[0.9991692,0.000159856,0.0001152657,0.0002963648,0.0001446516,0.000114698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.479128e-7,0.00009272489,0.00003899728,0.00134667,0.00002085896,1.495051e-7,0.0001018768,0.000005800591,0.0001685515,0.9772094,0.009935196,0.0110794],"study_design_scores_gemma":[0.0002875934,0.0001021844,0.0003949185,0.0008343087,0.00002212873,0.00000539254,0.00001448806,0.8255321,0.0002086641,0.009058741,0.1632338,0.0003056372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01229283,0.02343198,0.9503119,0.003204661,0.0005646091,0.003838669,0.000006358817,0.0009550477,0.00539395],"genre_scores_gemma":[0.7021583,0.001835296,0.2803978,0.01213267,0.0004533811,0.002930077,0.00002199268,0.00003190975,0.00003856411],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9681507,"threshold_uncertainty_score":0.3492498,"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."}}