{"id":"W4411697368","doi":"10.1111/nyas.15385","title":"Real‐time measurement of entropy production and export in humans: A step toward entropically informed medicine","year":2025,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Government of Ontario","keywords":"Entropy production; Non-equilibrium thermodynamics; Entropy (arrow of time); Thermodynamics; Heat capacity; Statistical physics; Econometrics; Chemistry; Computer science; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001542861,0.0005142767,0.0006846609,0.0008829352,0.0002006082,0.001680195,0.0006482831,0.000709871,0.001109097],"category_scores_gemma":[0.002139675,0.0002920231,0.0002154086,0.0004349842,0.001037764,0.001215932,0.0007837128,0.001196026,0.0001878836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793387,"about_ca_system_score_gemma":0.0003735448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00056295,"about_ca_topic_score_gemma":0.0006962187,"domain_scores_codex":[0.9995938,0.0002477772,0.00001807125,0.0000674305,0.000057949,0.00001493803],"domain_scores_gemma":[0.9990354,0.0004251945,0.0002284268,0.0001533999,0.00008427454,0.00007330626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002069485,0.0005186998,0.2706203,0.001436492,0.0005672099,0.0002865052,0.001155141,0.01433269,0.4580386,0.01633578,0.004129742,0.2305092],"study_design_scores_gemma":[0.0001086414,0.001909689,0.6406605,0.0005365831,0.000408484,0.00195938,0.001150691,0.1096113,0.1245287,0.09690428,0.02175597,0.000465905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6297321,0.02071726,0.3342376,0.004924825,0.0004322427,0.0001586606,0.001563435,0.0006364339,0.007597459],"genre_scores_gemma":[0.9389732,0.003158716,0.0556081,0.0007578541,0.0003483282,0.0001032744,0.0001524371,0.00009289067,0.0008052975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680195,"threshold_uncertainty_score":0.008159578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07785389359924089,"score_gpt":0.3327787999826219,"score_spread":0.2549249063833811,"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."}}