{"id":"W1642194339","doi":"10.48550/arxiv.cond-mat/0005198","title":"Generalized Entropy approach to far-from-equilibrium statistical mechanics","year":2000,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Statistical mechanics; Statistical physics; Dissipative system; Fluctuation theorem; Entropy (arrow of time); H-theorem; Formalism (music); Generalization; Adiabatic process; Mathematics; Classical mechanics; Physics; Mathematical physics; Principle of maximum entropy; Maximum entropy thermodynamics; Quantum mechanics; Non-equilibrium thermodynamics; Mathematical analysis; Binary entropy function","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008610159,0.0006606464,0.0007955157,0.001078063,0.0006551117,0.001037974,0.001673635,0.0008669524,0.001926461],"category_scores_gemma":[0.00173012,0.0002292054,0.0008059258,0.000454669,0.002043516,0.002959651,0.001935195,0.0013367,0.0003486939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008447245,"about_ca_system_score_gemma":0.0006550452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006776394,"about_ca_topic_score_gemma":0.0006002419,"domain_scores_codex":[0.9993267,0.0002215794,0.00002515983,0.00009590241,0.0002596351,0.00007111084],"domain_scores_gemma":[0.9993128,0.0002693465,0.00008044165,0.0001302884,0.0001217273,0.00008550492],"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":[0.000004753429,0.000006007099,0.00006160369,0.00001897403,0.000007704109,0.00004773052,0.00004339688,0.0141135,0.001037031,0.9825298,0.000250174,0.001879306],"study_design_scores_gemma":[0.000003433986,0.00001330094,0.00009226376,0.000005204738,0.000003627652,0.00004282557,0.0000102729,0.1390644,0.0003563358,0.8590815,0.001313329,0.00001342815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06360538,0.001503557,0.9120662,0.001092025,0.000323543,0.00003691623,0.0001560615,0.0002281025,0.02098824],"genre_scores_gemma":[0.8920425,0.001440544,0.0928045,0.0006662569,0.00093211,0.0001383471,0.0001670271,0.0001752551,0.01163342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001926461,"threshold_uncertainty_score":0.006444633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504233993569674,"score_gpt":0.1965493978464219,"score_spread":0.1615070579107251,"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."}}