{"id":"W2129072779","doi":"10.1038/ncomms3263","title":"Local orthogonality as a multipartite principle for quantum correlations","year":2013,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":228,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"Institut Périmètre de physique théorique; Industry Canada; Ministero dello Sviluppo Economico; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; Government of Canada","keywords":"Multipartite; Orthogonality; Bipartite graph; Quantum; Equivalence (formal languages); Mathematics; Quantum state; Statistical physics; Computer science; Theoretical computer science; Discrete mathematics; Quantum mechanics; Physics; Quantum entanglement; Graph","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001654605,0.0001359132,0.0001423215,0.00004542919,0.0006361185,0.00007011709,0.000716729,0.0001385485,0.0004077233],"category_scores_gemma":[0.00003991537,0.0001319871,0.0001414235,0.0002473486,0.00009950205,0.000159731,0.0002035645,0.0005991217,0.0004523725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002608609,"about_ca_system_score_gemma":0.0001036915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002776729,"about_ca_topic_score_gemma":0.00008637232,"domain_scores_codex":[0.9991,0.000050656,0.0002851083,0.0002156967,0.0001243468,0.0002242122],"domain_scores_gemma":[0.997498,0.0003509643,0.000133884,0.00150801,0.0003929499,0.0001161731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001776383,0.0002110192,0.001929777,0.000002380707,0.00003118773,1.006755e-8,0.0000528015,0.0000152887,0.0003125008,0.9907755,0.00451906,0.002148755],"study_design_scores_gemma":[0.0003898099,0.0000248077,0.008124888,0.00001285779,0.0000452026,7.657362e-7,0.0002761254,0.1495222,0.0002603631,0.4097206,0.4313854,0.0002369898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1245874,0.0009267764,0.8325461,0.01867361,0.0003887341,0.003950736,0.0007329732,0.0002822203,0.01791141],"genre_scores_gemma":[0.9898484,0.00001017268,0.006726179,0.0002754109,0.00007528,0.001913286,0.0007182726,0.00002239059,0.0004105657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.865261,"threshold_uncertainty_score":0.5814484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238630110989086,"score_gpt":0.3275621842173436,"score_spread":0.303699173118435,"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."}}