{"id":"W1991789348","doi":"10.1016/j.physleta.2014.11.002","title":"State-dependent approach to entropic measurement–disturbance relations","year":2014,"lang":"en","type":"article","venue":"Physics Letters A","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Japan Society for the Promotion of Science; Ministère de l’Éducation, Gouvernement de l’Ontario; National Research Foundation Singapore","keywords":"Observable; Predictability; Intuition; Statistical physics; Relation (database); Entropic uncertainty; Uncertainty principle; Qubit; Computer science; Theoretical physics; Physics; Mathematics; Statistics; Quantum mechanics; Data mining; Epistemology; Quantum; Philosophy","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":[0.002842577,0.001187053,0.00164572,0.001740851,0.001029288,0.003193345,0.003590326,0.002492151,0.004151841],"category_scores_gemma":[0.009347916,0.001276492,0.001344921,0.00121097,0.004813212,0.006460376,0.004950475,0.003927313,0.0005177882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964848,"about_ca_system_score_gemma":0.001204659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691024,"about_ca_topic_score_gemma":0.001451836,"domain_scores_codex":[0.9978508,0.0009520318,0.0001151188,0.0002953093,0.0006242746,0.0001624944],"domain_scores_gemma":[0.992737,0.004521066,0.0006373394,0.001122023,0.0006576108,0.0003248726],"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":[0.0000169605,0.00002673769,0.0001460873,0.00003957099,0.00003277555,0.00008044538,0.00006624942,0.0444933,0.0009047444,0.9519124,0.0003156191,0.001964996],"study_design_scores_gemma":[0.000005683415,0.00001299472,0.0001568481,0.000008849284,0.00000976419,0.00003643262,0.00001241797,0.5257261,0.0002946815,0.4732817,0.0004289495,0.00002561825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03437911,0.001077316,0.9360719,0.002167924,0.0002762763,0.00004789694,0.0001387209,0.0001435734,0.0256973],"genre_scores_gemma":[0.9206288,0.001562221,0.05276382,0.0007367653,0.0007397956,0.0001294434,0.0001409597,0.0002542698,0.02304387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004151841,"threshold_uncertainty_score":0.01503313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205911448244417,"score_gpt":0.2137466028897945,"score_spread":0.2016874884073503,"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."}}