{"id":"W3172555050","doi":"10.1103/physrevlett.130.230201","title":"Contextuality without Incompatibility","year":2023,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Fonds De La Recherche Scientifique - FNRS; Narodowe Centrum Nauki; Fundacja na rzecz Nauki Polskiej; Ontario Ministry of Research, Innovation and Science; Narodowym Centrum Nauki; Government of Canada; Institut Périmètre de physique théorique; Innovation, Science and Economic Development Canada","keywords":"Kochen–Specker theorem; Mathematical proof; Leverage (statistics); Measure (data warehouse); Representation (politics); Quantum; Theoretical physics; Mathematics; Computer science; Physics; Quantum mechanics; Statistics","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":[0.007449812,0.00117445,0.001811606,0.001388801,0.003494398,0.004351576,0.002819635,0.003194563,0.006706966],"category_scores_gemma":[0.02595316,0.001437382,0.002376421,0.001187848,0.01543104,0.0130577,0.01242871,0.01016536,0.001229478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203632,"about_ca_system_score_gemma":0.002795903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405473,"about_ca_topic_score_gemma":0.0009696212,"domain_scores_codex":[0.9829232,0.005233464,0.001065816,0.004421743,0.004633158,0.001722691],"domain_scores_gemma":[0.9729313,0.01128426,0.001586049,0.01016667,0.003141671,0.0008901121],"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":[0.00001820095,0.00001022027,0.0001434676,0.00007704876,0.00001893524,0.0001453606,0.000183293,0.0004788144,0.0008409853,0.9951074,0.0004748541,0.00250146],"study_design_scores_gemma":[0.00001738919,0.00002437052,0.0002151115,0.00005553356,0.0000224041,0.0001840244,0.0001047946,0.002327062,0.002168396,0.9870752,0.007779024,0.00002664819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09833739,0.002412597,0.7309414,0.01362062,0.00121795,0.0003737706,0.0009380635,0.001097263,0.1510609],"genre_scores_gemma":[0.8795056,0.001032835,0.1083521,0.003265792,0.0006168823,0.0004644645,0.0005156299,0.0002460643,0.006000615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007449812,"threshold_uncertainty_score":0.03939879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455490220731509,"score_gpt":0.3457467314988506,"score_spread":0.3111918292915355,"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."}}