{"id":"W2073536894","doi":"10.1103/physreve.82.011120","title":"Minimal model of a heat engine: Information theory approach","year":2010,"lang":"en","type":"article","venue":"Physical Review E","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Carnot cycle; Heat engine; Second law of thermodynamics; Dissipation; Testbed; Information theory; Physics; Quantum; Computer science; Maximum power principle; Limit (mathematics); Statistical physics; Channel (broadcasting); Thermodynamics; Power (physics); Theoretical physics; Applied mathematics; Mathematics; Quantum mechanics; Mathematical analysis","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":[0.0004622256,0.0004898265,0.001020938,0.0008214603,0.001094322,0.001885147,0.002090951,0.001869239,0.006699087],"category_scores_gemma":[0.0009040237,0.000298448,0.001078875,0.0005133271,0.002639532,0.002482017,0.001515821,0.001254832,0.0007402005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260034,"about_ca_system_score_gemma":0.001161397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030704,"about_ca_topic_score_gemma":0.001383585,"domain_scores_codex":[0.9996817,0.00007396152,0.00001501899,0.00007059631,0.00009690908,0.00006187023],"domain_scores_gemma":[0.9996636,0.0001081491,0.00003802807,0.000061674,0.00005975984,0.0000689238],"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":[0.00001486358,0.00001692048,0.00006036795,0.00002400252,0.000007488124,0.00005510021,0.00003824718,0.02746926,0.001013498,0.9701585,0.0004438645,0.0006980701],"study_design_scores_gemma":[0.00003006869,0.00003231929,0.00009605752,0.00001058956,0.000009053547,0.00005387326,0.0000364384,0.2613859,0.0003820471,0.7362059,0.001737892,0.0000198203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2131642,0.001150603,0.6329615,0.004737779,0.0003313452,0.0001744447,0.0008343246,0.0004105548,0.1462353],"genre_scores_gemma":[0.9520438,0.0003673563,0.02910183,0.0003351689,0.0001559806,0.0001960432,0.0001924996,0.0000720254,0.01753541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006699087,"threshold_uncertainty_score":0.02241069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007942477137658865,"score_gpt":0.2680570871776505,"score_spread":0.2601146100399916,"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."}}