{"id":"W4387251953","doi":"10.1103/physrevx.13.041001","title":"Testing Quantum Theory by Generalizing Noncontextuality","year":2023,"lang":"en","type":"article","venue":"Physical Review X","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Institut Périmètre de physique théorique; Austrian Science Fund; Government of Canada; Ministry of Colleges and Universities; Innovation, Science and Economic Development Canada","keywords":"Quantum; Computer science; Regular polygon; Quantum mechanics; Statistical physics; Physics; Mathematics","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":[0.007854614,0.0007700411,0.001278413,0.0008920709,0.001439239,0.002470909,0.002356439,0.002135979,0.008857853],"category_scores_gemma":[0.07691412,0.0006967955,0.001373589,0.0009355877,0.009137783,0.01186839,0.004605037,0.005360013,0.0004554483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742025,"about_ca_system_score_gemma":0.002443008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352695,"about_ca_topic_score_gemma":0.001683732,"domain_scores_codex":[0.9933207,0.003254363,0.000243908,0.001419677,0.001209295,0.0005519982],"domain_scores_gemma":[0.9306328,0.0511291,0.003195714,0.01153667,0.002344016,0.001161562],"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":[0.0001095719,0.00007089788,0.001352125,0.00007298912,0.00004212089,0.0001422932,0.0001668305,0.01591162,0.0008500458,0.9716874,0.0009590401,0.008634992],"study_design_scores_gemma":[0.00003407852,0.00003859489,0.0006929086,0.0000113106,0.00001005101,0.00003074703,0.00004719225,0.06750783,0.0004649365,0.9304702,0.0006765579,0.00001571503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3849428,0.0004389957,0.5508785,0.01266693,0.0003726095,0.0001687995,0.000508775,0.0006365069,0.04938607],"genre_scores_gemma":[0.9723685,0.0002376159,0.02492058,0.0007502735,0.0002075246,0.0000925089,0.0001134741,0.00009826085,0.001211282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008857853,"threshold_uncertainty_score":0.04153967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172200331267907,"score_gpt":0.350922379829214,"score_spread":0.2992003765165349,"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."}}