{"id":"W1988200236","doi":"10.1007/s00362-005-0270-y","title":"Renyi's entropy for residual lifetime distribution","year":2006,"lang":"en","type":"article","venue":"Statistical Papers","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rényi entropy; Residual; Residual entropy; Statistical physics; Mathematics; Measure (data warehouse); Entropy (arrow of time); Statistics; Computer science; Principle of maximum entropy; Physics; Algorithm; Data mining; Configuration entropy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001783709,0.0001601916,0.0002045779,0.0000205802,0.0002388709,0.00005318773,0.0001087068,0.00008394988,0.001244786],"category_scores_gemma":[0.0022181,0.000150177,0.00006125712,0.0001208974,0.0001945518,0.00003204082,0.00001971411,0.00009982972,0.0001560388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012049,"about_ca_system_score_gemma":0.0000462501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002754321,"about_ca_topic_score_gemma":0.00001494344,"domain_scores_codex":[0.9986091,0.00004989506,0.0004305269,0.0002987393,0.0002680268,0.0003437096],"domain_scores_gemma":[0.9974273,0.001994591,0.00009197836,0.0002093666,0.0001379285,0.000138782],"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":[0.00002835683,0.0001095679,0.0000217513,0.00002864726,0.000008489309,0.000001357344,0.000004204847,0.000004785578,0.0003771512,0.798757,0.1994669,0.001191807],"study_design_scores_gemma":[0.0007910182,0.00007165698,0.01055196,0.00001313677,0.0000874382,0.000004042645,0.00002777583,0.002706852,0.0002894459,0.8992381,0.08597131,0.0002472593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006555883,0.0000084576,0.974492,0.001426998,0.00007061777,0.0004938676,0.01159514,0.0001864559,0.01107089],"genre_scores_gemma":[0.8110844,0.000002821935,0.174817,0.000200714,0.00032853,0.0003907679,0.01041165,0.00003852052,0.002725541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8104289,"threshold_uncertainty_score":0.9996682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027615127799888,"score_gpt":0.3387338489326748,"score_spread":0.3111187211327868,"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."}}