{"id":"W4319225046","doi":"10.1007/s11005-023-01640-8","title":"Recurrence times, waiting times and universal entropy production estimators","year":2023,"lang":"en","type":"article","venue":"Letters in Mathematical Physics","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Estimator; Entropy production; Complex system; Mathematics; Statistical physics; Production (economics); Statistics; Applied mathematics; Computer science; Physics; Artificial intelligence; Economics","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":[0.007837272,0.0008090837,0.001306775,0.002272159,0.001005455,0.003361549,0.002688186,0.002198395,0.004001918],"category_scores_gemma":[0.06737339,0.001139002,0.0007966407,0.001453765,0.005100958,0.01063675,0.002403553,0.002619701,0.0004762884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352177,"about_ca_system_score_gemma":0.00102731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007278902,"about_ca_topic_score_gemma":0.0005586449,"domain_scores_codex":[0.9983842,0.0007083185,0.00009721809,0.0003261332,0.0002149102,0.0002691198],"domain_scores_gemma":[0.9459932,0.04268641,0.004961338,0.003176513,0.001418394,0.001764088],"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":[0.00007866739,0.00003079578,0.001284933,0.00007219338,0.00002349382,0.0001082869,0.0002375833,0.01656852,0.001408042,0.9748745,0.0008034208,0.00450954],"study_design_scores_gemma":[0.00002027518,0.00002846976,0.001032053,0.00002652067,0.00002140469,0.0001276362,0.00005190382,0.2151424,0.000972327,0.7819424,0.0005833758,0.00005125511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.263548,0.003027825,0.720319,0.002228556,0.0002837587,0.00005162065,0.0002251253,0.0005642867,0.009751771],"genre_scores_gemma":[0.9550893,0.001217508,0.03501088,0.000307507,0.0006788021,0.0001329644,0.0002127576,0.0003138577,0.007036361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007837272,"threshold_uncertainty_score":0.04144794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009389708236616468,"score_gpt":0.2459403646542767,"score_spread":0.2365506564176602,"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."}}