{"id":"W1830855970","doi":"10.1038/ncomms11780","title":"An experimental test of noncontextuality without unphysical idealizations","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Périmètre de physique théorique; Industry Canada; Canada Research Chairs; Division of Mathematical Sciences; Government of Canada; Ontario Centres of Excellence; John Templeton Foundation","keywords":"Variety (cybernetics); Causality (physics); Test (biology); Computer science; Cover (algebra); Subject (documents); Calculus (dental); Applied mathematics; Mathematics; Physics; Artificial intelligence; Engineering; Quantum mechanics; Mechanical engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106832,0.000104782,0.0001452775,0.00003683993,0.0002199591,0.00001710109,0.0008143323,0.00007025251,0.0001338161],"category_scores_gemma":[0.00002018286,0.00007870731,0.00007608011,0.000197477,0.0001447572,0.0001491266,0.0001373296,0.0001954593,0.00002687211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004722,"about_ca_system_score_gemma":0.00005859859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004720213,"about_ca_topic_score_gemma":0.00003291606,"domain_scores_codex":[0.9992799,0.00006906618,0.0002423038,0.0001685719,0.000117036,0.0001231925],"domain_scores_gemma":[0.9976363,0.0002494838,0.0001381042,0.001727791,0.0001659044,0.00008243608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000145351,0.0007668923,0.01186339,6.998395e-7,0.00001275154,9.864456e-9,0.0001174786,3.19231e-7,0.109988,0.8754519,0.0003291633,0.001467859],"study_design_scores_gemma":[0.003375072,0.0004769171,0.04744407,0.0002063758,0.0002003669,0.000002714951,0.002550801,0.009103267,0.4135416,0.3730124,0.148676,0.001410414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8036554,0.001039025,0.1607886,0.008179879,0.0002036456,0.001138693,0.002046705,0.0002575553,0.02269054],"genre_scores_gemma":[0.997345,0.00001032632,0.002205991,0.0000565138,0.00007351697,0.0001121623,0.0001273834,0.00001604352,0.00005311267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5024396,"threshold_uncertainty_score":0.3209591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127957393820485,"score_gpt":0.3469350328418008,"score_spread":0.3256554589035959,"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."}}