{"id":"W4315435507","doi":"10.1371/journal.pone.0279758","title":"Generalizing the isothermal efficiency by using Gaussian distributions","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Banff International Research Station for Mathematical Innovation and Discovery","keywords":"Isothermal process; Carnot cycle; Statistical physics; Gaussian; Thermodynamics; Dissipation; Efficient energy use; Physics; Applied mathematics; Mathematics; Quantum mechanics; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006136001,0.00008011814,0.00009513953,0.00001344532,0.0002926327,0.00003106584,0.0001185253,0.00001551933,0.0001612899],"category_scores_gemma":[0.000007901189,0.00006046538,0.00003331047,0.0002044847,0.00003195137,0.00003311095,0.00004698888,0.0001007293,0.00005251612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001688435,"about_ca_system_score_gemma":0.00001317613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003807209,"about_ca_topic_score_gemma":8.439496e-7,"domain_scores_codex":[0.9993673,0.0000223393,0.0001089446,0.0001287471,0.000130783,0.0002418656],"domain_scores_gemma":[0.9996911,0.00005040288,0.00003604672,0.0001529761,0.00002202333,0.00004740536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003756446,0.0003697045,0.0007090886,0.000009549884,0.0001162383,0.000001399392,0.00009529869,0.0004611097,0.1748208,0.8194413,0.0001280001,0.003843767],"study_design_scores_gemma":[0.0002217016,0.00002882788,0.0002667155,0.00004162553,0.00008657137,1.736623e-7,0.0001553224,0.9066786,0.007597338,0.08448683,0.0002119266,0.0002243536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.530594,0.00001914714,0.467101,0.0002699101,0.00003135829,0.0001143692,0.0005772403,0.00004576247,0.001247232],"genre_scores_gemma":[0.9976721,0.000002827133,0.00175051,0.00002727919,0.0001020872,0.00001510039,0.000100319,0.00001618842,0.0003135586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9062175,"threshold_uncertainty_score":0.2465707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823260617237871,"score_gpt":0.2599182225954813,"score_spread":0.2216856164231025,"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."}}