{"id":"W2995254166","doi":"10.1098/rsta.2019.0472","title":"Gradient and GENERIC time evolution towards reduced dynamics","year":2020,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Non-equilibrium thermodynamics; Mesoscopic physics; Time evolution; Thermodynamic state; Thermodynamic system; Thermodynamic equilibrium; Thermodynamic process; State variable; Fixed point","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":[],"consensus_categories":[],"category_scores_codex":[0.00006545344,0.0001421348,0.000217766,0.00001039679,0.0001163491,0.00002045448,0.0001524446,0.00004624455,0.00001310925],"category_scores_gemma":[0.00002938406,0.00009709401,0.0001259027,0.0002373089,0.0003775047,0.00006271461,0.00002546122,0.0001874267,0.000003553206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002828434,"about_ca_system_score_gemma":0.00001042836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001739266,"about_ca_topic_score_gemma":3.378876e-8,"domain_scores_codex":[0.99929,0.000008603189,0.0001556185,0.0001643181,0.0001976301,0.0001837931],"domain_scores_gemma":[0.9996459,0.000103013,0.00001719485,0.00007443836,0.00001154141,0.0001479264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001338731,0.0002214383,0.000004464937,0.001116498,0.0001986286,5.052819e-7,0.002627082,0.7986438,0.0257961,0.1670316,0.00004330234,0.004303258],"study_design_scores_gemma":[0.00009781089,0.00008383048,0.0001949017,0.00003010516,0.00005285825,0.000002150203,0.00003274779,0.9518951,0.0002050602,0.04728722,0.000004633176,0.0001136296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5257049,0.0001303519,0.4694925,0.003569796,0.00008084968,0.0001459255,0.0000232686,0.0001812044,0.0006712293],"genre_scores_gemma":[0.9970021,0.000007392531,0.002851066,0.00002208617,0.00008775925,0.000008770327,3.136352e-7,0.00001146307,0.000009003675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4712973,"threshold_uncertainty_score":0.3959379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301443874554001,"score_gpt":0.1910219008709702,"score_spread":0.1780074621254302,"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."}}