{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02513274,0.0009017234,0.001619269,0.001396172,0.002808579,0.003987247,0.00487331,0.005186794,0.008849111],"category_scores_gemma":[0.1192811,0.001172017,0.001199743,0.001157635,0.01838297,0.01356494,0.007896686,0.006532577,0.001121692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459908,"about_ca_system_score_gemma":0.00321761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006351919,"about_ca_topic_score_gemma":0.0003813644,"domain_scores_codex":[0.9684643,0.0142749,0.001382061,0.004830916,0.009459656,0.001588235],"domain_scores_gemma":[0.8701361,0.0752021,0.008848169,0.03883944,0.005011507,0.001962722],"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":[0.0002465631,0.0001449834,0.002334808,0.0001551504,0.00007409023,0.0001538178,0.0004140172,0.002259839,0.005172675,0.9820896,0.0008480245,0.00610642],"study_design_scores_gemma":[0.000186904,0.0003184335,0.001933831,0.0001021908,0.00005290247,0.0002185402,0.0003292878,0.03445132,0.01562137,0.9414316,0.005251443,0.0001022759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3667621,0.0005883983,0.5475845,0.01134838,0.0008809967,0.0004667709,0.0008365394,0.001188828,0.0703435],"genre_scores_gemma":[0.9322946,0.0001282182,0.06440871,0.001481359,0.0001322916,0.0004036837,0.0001915206,0.00009415817,0.0008654488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02513274,"threshold_uncertainty_score":0.1329163,"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."}}