{"id":"W2157984061","doi":"10.1103/physrevlett.99.040403","title":"Noise Robustness of the Nonlocality of Entangled Quantum States","year":2007,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum nonlocality; Physics; Robustness (evolution); Quantum; Noise (video); Quantum mechanics; Upper and lower bounds; Statistical physics; Quantum entanglement; State (computer science); W state; Theoretical physics; Mathematics; Mathematical analysis; Computer science; Algorithm","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":[0.00172237,0.0005207905,0.0007758537,0.0006728871,0.0006377082,0.00133726,0.0008340247,0.001023835,0.0009411062],"category_scores_gemma":[0.01016466,0.00045662,0.0006034321,0.0004033458,0.002927823,0.002979406,0.002202283,0.001425324,0.0001431521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006838477,"about_ca_system_score_gemma":0.0002468087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003270307,"about_ca_topic_score_gemma":0.0001770266,"domain_scores_codex":[0.9985998,0.0006466117,0.00004797433,0.0002155151,0.0003163858,0.0001736325],"domain_scores_gemma":[0.9907051,0.00613199,0.00144009,0.001188701,0.0002475842,0.0002865628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001022378,0.0001913974,0.006525291,0.0002741309,0.0002623658,0.0008584915,0.0006458461,0.5078971,0.1064148,0.3653907,0.0004286238,0.0100889],"study_design_scores_gemma":[0.00003990028,0.0002189137,0.001559964,0.00001636095,0.00003867556,0.0002769752,0.00008231238,0.8860611,0.02017758,0.0912081,0.0002742336,0.0000459906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839799,0.000358565,0.1113121,0.0004586527,0.00001378052,0.00002667541,0.00005110688,0.0001464989,0.003652824],"genre_scores_gemma":[0.9983211,0.00006845652,0.001291688,0.00001926255,0.000009446068,0.00001198774,0.00001511393,0.00001097286,0.0002519445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00172237,"threshold_uncertainty_score":0.009108841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241182856833464,"score_gpt":0.2720990671847138,"score_spread":0.2596872386163792,"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."}}