{"id":"W2769808570","doi":"10.1088/1367-2630/14/12/129401","title":"Entropy and information causality in general probabilistic theories","year":2012,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"CHIST-ERA; Institut Périmètre de physique théorique; Industry Canada; Engineering and Physical Sciences Research Council; Mitacs; National Science Foundation; Government of Canada; Foundational Questions Institute","keywords":"Physics; Subadditivity; Causality (physics); Addendum; Probabilistic logic; Statistical physics; Theoretical physics; Entropy (arrow of time); Inequality; Mathematical economics; Quantum mechanics; Epistemology; Economics; Discrete mathematics; Mathematical analysis","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":[0.00502705,0.0007471727,0.000693864,0.002620739,0.001160407,0.002473627,0.001102259,0.001212144,0.003072734],"category_scores_gemma":[0.01167366,0.0004332223,0.001103543,0.001644045,0.006934332,0.008902056,0.003443611,0.002457281,0.0002132107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117516,"about_ca_system_score_gemma":0.001008222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006114597,"about_ca_topic_score_gemma":0.0003656951,"domain_scores_codex":[0.9967316,0.001432633,0.0001717982,0.0004049274,0.0009572683,0.0003017959],"domain_scores_gemma":[0.9893259,0.007565578,0.001147045,0.0009664011,0.0006582174,0.0003368579],"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":[0.000004294263,0.000004869706,0.0001468389,0.00001886408,0.000005831844,0.00002015261,0.00005893966,0.002540863,0.0001080754,0.9958983,0.00008112006,0.001111826],"study_design_scores_gemma":[0.000002438693,0.000004463433,0.00009966536,0.000006900639,0.000002618937,0.00001288693,0.00001337064,0.00804548,0.00008937933,0.9912867,0.0004319418,0.000004094557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1819474,0.00420329,0.7443146,0.006146949,0.0002497571,0.0000738756,0.0003266344,0.0002098153,0.0625276],"genre_scores_gemma":[0.9650338,0.001295342,0.02864084,0.0005232004,0.0003632525,0.0001038067,0.0001443335,0.00005677361,0.003838544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00502705,"threshold_uncertainty_score":0.02658594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140881319865973,"score_gpt":0.2538136700044593,"score_spread":0.2424048568057995,"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."}}