{"id":"W2018880438","doi":"10.1016/j.cam.2009.02.087","title":"Fisher information and kinetic energy functionals: A dequantization approach","year":2009,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Kinetic energy; Quantum; Mathematics; Fisher information; Kinetic term; Entropy (arrow of time); Term (time); Quantum discord; Statistical physics; Quantum mechanics; Quantum entanglement; Mathematical physics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008880359,0.00007209272,0.0001336642,0.00005644293,0.0000510454,0.00006539314,0.00003088679,0.00001824392,0.00003502086],"category_scores_gemma":[0.000006171835,0.00005695805,0.0000223219,0.00005972777,0.00001399219,0.0001212291,0.00000910866,0.00005459867,0.000001220905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004784825,"about_ca_system_score_gemma":0.00001738751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.678226e-7,"about_ca_topic_score_gemma":6.524965e-9,"domain_scores_codex":[0.9994113,0.000004609862,0.0003054978,0.00004255784,0.0001714073,0.0000646082],"domain_scores_gemma":[0.9995198,0.0000810875,0.0002198793,0.00002478593,0.00009934979,0.00005505083],"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":[0.00001001842,0.00007067583,0.00001253608,0.00001395409,0.00001894202,1.229606e-7,0.00009492759,0.002683864,0.00002198242,0.9489423,0.0003882026,0.04774245],"study_design_scores_gemma":[0.0004541783,0.00006038778,0.000860833,0.00001429807,0.00002879344,0.00002050664,0.0001715916,0.2240046,0.00002941909,0.7734517,0.0008345238,0.00006911497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01871334,0.000025972,0.9768303,0.0001134928,0.00002554763,0.00003625271,0.00000554667,0.000003666176,0.004245885],"genre_scores_gemma":[0.8388667,0.000004728793,0.1608595,0.0001415101,0.00009141348,0.00000199815,0.00001892764,0.000002911907,0.00001237848],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8201533,"threshold_uncertainty_score":0.2322682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008582818599068934,"score_gpt":0.2102162001416633,"score_spread":0.2016333815425943,"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."}}