{"id":"W3213388617","doi":"10.1103/physrevlett.127.200401","title":"No Bipartite-Nonlocal Causal Theory Can Explain Nature's Correlations.","year":2021,"lang":"en","type":"article","venue":"PubMed","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Fonds de recherche du Québec – Nature et technologies; Ministry of Colleges and Universities; European Research Council; Government of Canada; Generalitat de Catalunya; Fundación Mig-Puig; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Institut Périmètre de physique théorique; Innovation, Science and Economic Development Canada; Fundación Cellex","keywords":"Quantum nonlocality; Multipartite; Randomness; Bipartite graph; Theoretical physics; Quantum; Computer science; Physics; Statistical physics; Mathematics; Quantum mechanics; Quantum entanglement; Theoretical computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986135,0.0004932181,0.0005812556,0.0006781475,0.00173961,0.001927368,0.001765884,0.001994377,0.009899788],"category_scores_gemma":[0.006808918,0.0004334755,0.0009003304,0.0006352197,0.005811928,0.007267954,0.00274487,0.003304197,0.001588624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009712757,"about_ca_system_score_gemma":0.001306571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007413565,"about_ca_topic_score_gemma":0.001160683,"domain_scores_codex":[0.9991444,0.0002283764,0.0000387894,0.000176646,0.0002742946,0.0001373712],"domain_scores_gemma":[0.9957392,0.001764956,0.0003405884,0.001670743,0.0003335386,0.0001509848],"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":[0.000005671668,0.00000471895,0.00007584252,0.00002799873,0.000005465408,0.00002115364,0.00002974988,0.0006813214,0.0002005439,0.9966671,0.0007788871,0.001501569],"study_design_scores_gemma":[0.000006258762,0.00001030277,0.00008752436,0.00001834007,0.00000709505,0.00004700967,0.00002802111,0.00681987,0.0003589336,0.9878401,0.004766525,0.00001011094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04490958,0.001836523,0.8158646,0.007959283,0.0008005341,0.0001036311,0.0005160048,0.0004276165,0.1275823],"genre_scores_gemma":[0.8977714,0.00150141,0.08110204,0.002813496,0.000296843,0.0002222175,0.000363389,0.0001392945,0.01578984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009899788,"threshold_uncertainty_score":0.03311813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103262932163707,"score_gpt":0.2212704435061831,"score_spread":0.2109441502898124,"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."}}