{"id":"W2773514225","doi":"10.48550/arxiv.1712.05167","title":"Fluctuation Theorem and Thermodynamic Formalism","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; National Science Foundation","keywords":"Ergodicity; Mathematics; Generality; Formalism (music); Invertible matrix; Statistical physics; Entropy production; Chaotic; Dynamical systems theory; Chaotic systems; Ergodic theory; Fluctuation theorem; Pure mathematics; Physics; Computer science; Thermodynamics; Quantum mechanics; Non-equilibrium thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000992905,0.0002481936,0.0002531444,0.00005483102,0.000263288,0.00008282828,0.0003708352,0.0001253215,0.000116667],"category_scores_gemma":[0.000008709058,0.000261126,0.000100745,0.00003543505,0.0001133447,0.0001400864,0.0005405365,0.000378895,0.00001580267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004731462,"about_ca_system_score_gemma":0.0000498683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134521,"about_ca_topic_score_gemma":0.00001095213,"domain_scores_codex":[0.9990565,0.0000402823,0.0001202703,0.0005051236,0.00004453114,0.0002332957],"domain_scores_gemma":[0.9989424,0.0000570364,0.0002366692,0.0005883041,0.00007072055,0.000104846],"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":[0.00002163464,0.00002356974,0.0002606607,0.00001895972,0.00006928117,0.00001106738,0.0000641372,0.004827658,0.00006155734,0.985029,0.000003556575,0.009608954],"study_design_scores_gemma":[0.0001796015,0.00001041516,0.0003805264,0.00002396732,0.00004868011,2.398841e-7,0.00004775727,0.4514379,0.000007542576,0.5476593,0.00003574965,0.0001683765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3518848,0.00001554651,0.6363794,0.0000168457,0.0001753636,0.0001696452,0.0001852763,0.00002784605,0.01114527],"genre_scores_gemma":[0.9984348,0.00004444519,0.0004504604,0.00001153909,0.00009238931,0.000001332222,0.000126696,0.00002681415,0.0008115446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.64655,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268289850795266,"score_gpt":0.1980395950615024,"score_spread":0.1653566965535498,"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."}}