{"id":"W2971718006","doi":"10.22331/q-2020-06-08-280","title":"Quantifying Bell: the Resource Theory of Nonclassicality of Common-Cause Boxes","year":2020,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Perimeter Institute","funders":"","keywords":"Set (abstract data type); Cardinality (data modeling); Randomness; Computer science; Probabilistic logic; Bell's theorem; Outcome (game theory); Simple (philosophy); Binary number; Survivability; Polytope; Causality (physics); Resource (disambiguation); Theoretical computer science; Mathematics; Discrete mathematics; Mathematical economics; Artificial intelligence; Quantum; Quantum entanglement; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199543,0.0001106818,0.000246663,0.00001489596,0.000118005,0.00001329602,0.0003547379,0.00002813478,0.0001523308],"category_scores_gemma":[0.00001622927,0.00007819485,0.0001397123,0.0002095983,0.0001253685,0.00003432556,0.0001155675,0.0001716534,0.00002059072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003353884,"about_ca_system_score_gemma":0.00003288114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008131048,"about_ca_topic_score_gemma":0.000002498889,"domain_scores_codex":[0.999041,0.0001184133,0.0003513412,0.0001747188,0.0001623302,0.0001521509],"domain_scores_gemma":[0.9989635,0.0002905435,0.0002421645,0.0003913933,0.00004560955,0.00006674006],"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":[0.0000190774,0.0001111092,0.002542702,0.00002171146,0.00005653642,1.285034e-7,0.0005206047,0.000007103976,0.00454382,0.9895975,0.0009135046,0.001666179],"study_design_scores_gemma":[0.0006182478,0.000205439,0.003775454,0.00007709459,0.0001951547,4.929449e-7,0.004777943,0.03247501,0.05060889,0.8643871,0.04253417,0.0003450189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516509,0.0001302436,0.04033102,0.003879401,0.00004942396,0.0002936004,0.0001694984,0.000030713,0.003465215],"genre_scores_gemma":[0.9996231,0.000003401056,0.00005962242,0.0001453177,0.0001011898,0.00001556609,0.00001703014,0.00001538646,0.00001944435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1252104,"threshold_uncertainty_score":0.3188694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06788617213715771,"score_gpt":0.2993341024274658,"score_spread":0.2314479302903081,"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."}}