{"id":"W2025731618","doi":"10.1103/physreva.78.033832","title":"Detecting hidden differences via permutation symmetries","year":2008,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Degrees of freedom (physics and chemistry); Homogeneous space; Permutation (music); Relevance (law); Symmetry (geometry); Computer science; Quantum; State (computer science); Theoretical physics; Current (fluid); Theoretical computer science; Statistical physics; Algorithm; Physics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009260832,0.00008963654,0.0001870335,0.00005425781,0.0001531933,0.00003875983,0.000324828,0.00001034017,0.000008558607],"category_scores_gemma":[0.0001203419,0.00006684306,0.000121139,0.0006888135,0.00004313558,0.0005502528,0.00005936727,0.00008349861,0.0001560685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008577059,"about_ca_system_score_gemma":0.00001947479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006861488,"about_ca_topic_score_gemma":4.153121e-7,"domain_scores_codex":[0.9992435,0.00004584877,0.0001793496,0.0001356579,0.0002587774,0.0001368417],"domain_scores_gemma":[0.9994475,0.0001005762,0.00009601211,0.0002058116,0.00008907382,0.00006098576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000190837,0.0001220061,0.00151368,0.0007019375,0.00002506634,0.000006602794,0.00249085,9.518038e-7,0.000351499,0.2153609,0.001000041,0.7784246],"study_design_scores_gemma":[0.001588121,0.001249899,0.2484052,0.004630159,0.000182543,0.0004715688,0.0002817727,0.3372402,0.01432756,0.3463525,0.0421886,0.003081901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4766603,0.01130083,0.5023455,0.002036849,0.0002094618,0.0004279675,0.000001121415,0.0004412434,0.00657677],"genre_scores_gemma":[0.9942605,0.002442913,0.001827428,0.00138788,0.00004705593,0.0000236483,0.000001130784,0.000002671171,0.000006747193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7753426,"threshold_uncertainty_score":0.2725781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269169032448459,"score_gpt":0.2777947494105166,"score_spread":0.2508778461656707,"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."}}