{"id":"W1986090503","doi":"10.1016/j.stamet.2011.06.003","title":"An extension of the generalized exponential distribution","year":2011,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Mathematics; Exponential family; Natural exponential family; Bathtub; Exponential function; Extension (predicate logic); Hazard; Exponential distribution; Generalized integer gamma distribution; Shape parameter; Distribution (mathematics); Gamma distribution; Class (philosophy); Applied mathematics; Flexibility (engineering); Statistics; Mathematical analysis; Computer science","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":[0.0007464516,0.0001118784,0.0002587749,0.00002024042,0.000120997,0.000005559824,0.0002194932,0.00009924481,0.001740249],"category_scores_gemma":[0.00589973,0.00007834635,0.00005887682,0.0001722043,0.0004269021,0.00003981729,0.00005080903,0.0001282853,0.00002088976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317468,"about_ca_system_score_gemma":0.00003608081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005594029,"about_ca_topic_score_gemma":0.000007688035,"domain_scores_codex":[0.9977412,0.001181706,0.0004545985,0.0002393933,0.0001845639,0.0001985948],"domain_scores_gemma":[0.9972196,0.001858176,0.0001728694,0.0004585703,0.0001822239,0.0001085919],"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":[0.00005815232,0.0001993109,0.00008502195,0.00001627047,0.00001078772,0.000001058257,0.0001018716,8.089877e-7,0.005888766,0.9879678,0.001364016,0.004306176],"study_design_scores_gemma":[0.0003056038,0.00007914306,0.07077131,0.00000632665,0.00007845477,0.00001156185,0.00005307227,0.002526236,0.009388247,0.9165067,0.000177149,0.00009620319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02957912,0.000004401412,0.9681428,0.0001030963,0.0001901486,0.0002219412,0.0012188,0.00005104874,0.0004886558],"genre_scores_gemma":[0.512295,0.000001182212,0.4874443,0.00005214053,0.00002050694,0.00002780244,0.0001314134,0.000007464982,0.0000202495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4827159,"threshold_uncertainty_score":0.9991723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4581731734034218,"score_gpt":0.4709212398957283,"score_spread":0.01274806649230648,"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."}}