{"id":"W4391631704","doi":"10.1103/physrevlett.133.020802","title":"Single-System-Based Generation of Certified Randomness Using Leggett-Garg Inequality","year":2024,"lang":"en","type":"preprint","venue":"Physical Review Letters","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Bose Institute; Ministry of Electronics and Information technology; Department of Science and Technology, Ministry of Science and Technology, India; ITEA","keywords":"Randomness; Inequality; Certification; Statistical physics; Mathematics; Mathematical economics; Applied mathematics; Econometrics; Computer science; Calculus (dental); Physics; Statistics; Economics; Mathematical analysis; Medicine","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":[0.001843144,0.0004563211,0.0006949645,0.0004114396,0.0005561991,0.001436184,0.0009511812,0.001079699,0.002191059],"category_scores_gemma":[0.004693574,0.0002236965,0.0004346533,0.0004038504,0.00254802,0.001385179,0.001919607,0.001123445,0.0003805952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009502554,"about_ca_system_score_gemma":0.0007983973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002847016,"about_ca_topic_score_gemma":0.0003229281,"domain_scores_codex":[0.9980466,0.0007467844,0.00006389726,0.0002062672,0.0006794302,0.0002569874],"domain_scores_gemma":[0.9971983,0.001727414,0.0003736607,0.0004506992,0.0001553013,0.00009465372],"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":[0.0002609765,0.00009237861,0.0007448351,0.0001207027,0.00005889248,0.0003509831,0.0001361221,0.1825193,0.02472789,0.7708519,0.001039168,0.01909702],"study_design_scores_gemma":[0.00005654471,0.0001155998,0.0001608239,0.00001737821,0.0000147551,0.00008766841,0.00001664928,0.808831,0.01409605,0.1755998,0.0009652575,0.00003848417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2102719,0.0003660145,0.7687128,0.001096138,0.000118131,0.0001871305,0.0001220907,0.0002593893,0.01886637],"genre_scores_gemma":[0.9557447,0.0000777295,0.04288496,0.00008354186,0.00001227218,0.00007292964,0.00002224254,0.00002123847,0.001080282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002191059,"threshold_uncertainty_score":0.009747565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5062087368143008,"score_gpt":0.4923187353064948,"score_spread":0.01389000150780595,"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."}}