{"id":"W3136906901","doi":"10.1088/1367-2630/ac395e","title":"Fully differentiable optimization protocols for non-equilibrium steady states","year":2021,"lang":"en","type":"preprint","venue":"New Journal of Physics","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto","funders":"Air Force Office of Scientific Research","keywords":"Differentiable function; Ordinary differential equation; Quantum; Observable; Applied mathematics; Inverse; Computer science; Steady state (chemistry); Limit (mathematics); Mathematical optimization; Mathematics; Differential equation; Statistical physics; Physics; Mathematical analysis; Quantum mechanics","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":[0.004047533,0.0008091188,0.001082469,0.0009083452,0.000704449,0.001640725,0.00151582,0.001394648,0.004600488],"category_scores_gemma":[0.01024572,0.0005703258,0.0006413137,0.0005843546,0.00261419,0.002498384,0.003023577,0.002013591,0.0004459633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002475838,"about_ca_system_score_gemma":0.001611828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509643,"about_ca_topic_score_gemma":0.001525574,"domain_scores_codex":[0.9985536,0.0006950593,0.00008048739,0.000238786,0.0002823893,0.0001497032],"domain_scores_gemma":[0.9939136,0.004673682,0.0003833685,0.0004492422,0.0004355968,0.0001445307],"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":[0.0001208244,0.0001013417,0.0002103868,0.00008712946,0.00003648503,0.00006399965,0.0002117061,0.6325332,0.003177181,0.3452561,0.0009298818,0.01727184],"study_design_scores_gemma":[0.00001401612,0.00002033849,0.00002481652,0.000007563568,0.000003241876,0.000005210797,0.00000962068,0.9545308,0.0007348998,0.04430731,0.0003351872,0.000006949515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04585002,0.0002316023,0.9441726,0.0005388577,0.0000315641,0.0001148628,0.00007432566,0.0003719453,0.008614371],"genre_scores_gemma":[0.8016087,0.0001922073,0.1910528,0.000241094,0.00002771117,0.0004106767,0.0001061517,0.0002287184,0.006131948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004600488,"threshold_uncertainty_score":0.02140564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877903411295537,"score_gpt":0.2978912751265335,"score_spread":0.2791122410135781,"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."}}