{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001021716,0.0001640553,0.0001736764,0.00001974037,0.0001266828,0.00004646584,0.0001672269,0.00001189483,0.00002226833],"category_scores_gemma":[0.00001024063,0.0001608847,0.0000639928,0.0001203896,0.00001975542,0.00007770722,0.00005044867,0.0001563566,0.0001246165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006565493,"about_ca_system_score_gemma":0.00001253636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000351483,"about_ca_topic_score_gemma":8.025638e-7,"domain_scores_codex":[0.9988679,0.00004309351,0.000173154,0.0003026491,0.0003164216,0.0002967539],"domain_scores_gemma":[0.9994202,0.00003504197,0.00007012056,0.0002897528,0.00006550336,0.0001193652],"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":[0.000009505243,0.0001898648,0.0006348714,0.000008417052,0.00005608943,2.698891e-7,0.0002211603,0.01391157,0.01293065,0.9470037,0.000708857,0.02432505],"study_design_scores_gemma":[0.00149206,0.000106516,0.002721927,0.00004767746,0.00008964276,4.539006e-7,0.00008955187,0.1694945,0.002739704,0.8109298,0.01118728,0.001100977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01491006,0.000004366296,0.9757917,0.0004152954,0.0001235376,0.0002128415,0.00005340547,0.00003419227,0.008454593],"genre_scores_gemma":[0.9844106,1.768248e-7,0.01433455,0.0007414097,0.0002632693,0.00006427064,0.00002854641,0.00002913652,0.0001280258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695005,"threshold_uncertainty_score":0.6560687,"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."}}