{"id":"W2977385318","doi":"10.1103/physreve.100.042101","title":"Thermodynamic uncertainty relation in thermal transport","year":2019,"lang":"en","type":"article","venue":"Physical review. E","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Indian Institute of Science Education and Research Pune; Canada Research Chairs","keywords":"Relation (database); Thermodynamics; Thermal; Environmental science; Statistical physics; Physics; Computer science; Data mining","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":[0.002618427,0.0004119182,0.0009912796,0.0009271451,0.0013755,0.002123832,0.001336946,0.001347947,0.001843016],"category_scores_gemma":[0.008377458,0.0003798532,0.0008674866,0.0005895419,0.00453589,0.004313717,0.001980532,0.001734281,0.000239701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787788,"about_ca_system_score_gemma":0.001122189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707893,"about_ca_topic_score_gemma":0.0006727047,"domain_scores_codex":[0.9986357,0.0004389779,0.00007009453,0.000185873,0.0004494072,0.0002198712],"domain_scores_gemma":[0.9960496,0.002389309,0.0003820156,0.0005443235,0.0004483456,0.0001864532],"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":[0.0000174009,0.00001229588,0.0002079911,0.00003424557,0.000009613723,0.00006788394,0.00009343671,0.02185284,0.001318098,0.9741833,0.0002037704,0.001999029],"study_design_scores_gemma":[0.00000717861,0.00002353684,0.0002030466,0.00001389686,0.000005337296,0.0000414403,0.00002365874,0.1675826,0.0006172791,0.8309268,0.0005372328,0.00001798229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3501218,0.004718729,0.5892675,0.003345638,0.0004415764,0.00008364889,0.000252293,0.0002305296,0.05153824],"genre_scores_gemma":[0.9844087,0.0005805914,0.01275328,0.0001827576,0.0001726814,0.00007146394,0.00005417199,0.00005544447,0.001721042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002618427,"threshold_uncertainty_score":0.01384777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011068840929517,"score_gpt":0.2854330325472839,"score_spread":0.2794219637063544,"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."}}