{"id":"W2958442219","doi":"10.1103/physreva.100.012315","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>l</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math>-norm coherence of assistance","year":2019,"lang":"lv","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Beijing Information Science and Technology University; China Scholarship Council; National Natural Science Foundation of China","keywords":"Coherence (philosophical gambling strategy); Norm (philosophy); Quantum entanglement; Mathematics; Algorithm; Quantum; Computer science; Statistics; Physics; Quantum mechanics; Law","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":[0.0006825455,0.0005545256,0.0005036778,0.001420329,0.0005675518,0.001925158,0.00104037,0.0008410849,0.1675752],"category_scores_gemma":[0.00210783,0.0003685267,0.0003735024,0.001716374,0.0007193924,0.002235053,0.0006779035,0.001013349,0.08287047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393884,"about_ca_system_score_gemma":0.0008198426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003424261,"about_ca_topic_score_gemma":0.003927912,"domain_scores_codex":[0.999557,0.0001408917,0.00002277118,0.00006696425,0.0001627544,0.00004958245],"domain_scores_gemma":[0.9992437,0.0002735253,0.000106454,0.0001493231,0.0001888638,0.00003804604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005638532,0.00003314513,0.0001914025,0.0004804362,0.00001149565,0.0001203811,0.0001457253,0.0007331969,0.003282495,0.3967021,0.5031686,0.09507459],"study_design_scores_gemma":[0.00002039467,0.00002903071,0.0007365139,0.00007763022,0.000005489093,0.0001969838,0.00005601032,0.005299316,0.006774678,0.07356901,0.9131972,0.00003750663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01127636,0.007791799,0.1954471,0.02025043,0.003098982,0.0003492507,0.01783832,0.01407018,0.7298776],"genre_scores_gemma":[0.1782422,0.01569249,0.1484156,0.006297254,0.002184442,0.001369476,0.01525286,0.006691212,0.6258546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1675752,"threshold_uncertainty_score":0.560595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825780436998718,"score_gpt":0.2816770788587447,"score_spread":0.2634192744887575,"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."}}