{"id":"W2052784097","doi":"10.1103/physrevlett.105.170501","title":"Entanglement Verification with Finite Data","year":2010,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum entanglement; Entanglement witness; Computer science; Qubit; sort; Statistical physics; Witness; Algorithm; Physics; Quantum; Quantum mechanics; Squashed entanglement","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":[0.01875871,0.0008657075,0.002156963,0.002006156,0.001700384,0.004470033,0.003679811,0.003240179,0.005032285],"category_scores_gemma":[0.1633064,0.0008821452,0.001267301,0.001829687,0.01137636,0.0151174,0.008697202,0.00448467,0.0008125416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017226,"about_ca_system_score_gemma":0.002129524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009386811,"about_ca_topic_score_gemma":0.0005895413,"domain_scores_codex":[0.9783419,0.01286664,0.001041641,0.002185331,0.004560781,0.001003613],"domain_scores_gemma":[0.8003524,0.1552806,0.007589451,0.02978119,0.005235869,0.001760505],"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":[0.001591939,0.0001771975,0.005501676,0.0003661114,0.000190359,0.0008768889,0.0005943133,0.09643921,0.006081338,0.8366739,0.001763585,0.04974346],"study_design_scores_gemma":[0.0001411112,0.0001097979,0.0003782401,0.00006351276,0.00002491246,0.0001841285,0.0000843436,0.3326997,0.01281794,0.6521393,0.001298987,0.00005815122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320184,0.0004537654,0.856802,0.002237938,0.0001515662,0.0001522876,0.0005190869,0.0007083063,0.006956688],"genre_scores_gemma":[0.8829222,0.0001366155,0.1149264,0.0002709035,0.0001084181,0.0002027368,0.0003369011,0.0001206992,0.0009750554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01875871,"threshold_uncertainty_score":0.09920675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454078217428989,"score_gpt":0.2891631796484242,"score_spread":0.2646223974741343,"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."}}