{"id":"W2767476272","doi":"10.1007/s13571-017-0144-z","title":"Characterizations of Proportional Hazard and Reversed Hazard Rate Models Based on Symmetric and Asymmetric Kullback-Leibler Divergences","year":2017,"lang":"en","type":"article","venue":"Sankhya B","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Divergence (linguistics); Mathematics; Kullback–Leibler divergence; Hazard; Hazard ratio; Probability density function; Function (biology); Statistics; Applied mathematics; Statistical physics; Confidence interval; Physics; Chemistry","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":[0.01807905,0.001906264,0.00245234,0.002651603,0.000828717,0.004202886,0.00530277,0.002661143,0.005212094],"category_scores_gemma":[0.05868359,0.001220311,0.002685622,0.00178585,0.004666728,0.008211037,0.003431991,0.006168445,0.0007926762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003209861,"about_ca_system_score_gemma":0.00353565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342299,"about_ca_topic_score_gemma":0.001394831,"domain_scores_codex":[0.9925282,0.003620837,0.0004329127,0.001314316,0.001447597,0.0006560795],"domain_scores_gemma":[0.9580514,0.03020258,0.004600999,0.002494372,0.00352397,0.001126648],"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":[0.0001119609,0.00007815078,0.002443612,0.0001422749,0.00009278388,0.000197339,0.0003380716,0.07567032,0.0007696618,0.9047359,0.001573379,0.01384656],"study_design_scores_gemma":[0.00003632534,0.00008278855,0.0008179786,0.0000391876,0.00005595342,0.0003229593,0.00007149879,0.4520654,0.0003465324,0.5448906,0.001199677,0.00007103601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03598479,0.001107287,0.9569229,0.001311095,0.0001129037,0.00009611408,0.0003895085,0.0002098898,0.003865372],"genre_scores_gemma":[0.8492039,0.002908099,0.1289359,0.0009729157,0.0006418024,0.0007669723,0.001330186,0.0003412672,0.01489901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01807905,"threshold_uncertainty_score":0.09561229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0967947247820803,"score_gpt":0.3485630269790898,"score_spread":0.2517683021970095,"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."}}