{"id":"W2058391474","doi":"10.1080/03610926.2012.763090","title":"Exponentiated Geometric Distribution: Another Generalization of Geometric Distribution","year":2013,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Generalization; Geometric distribution; Mathematics; Distribution (mathematics); Applied mathematics; Reliability (semiconductor); Basis (linear algebra); Geometric data analysis; Geometric modeling; Algorithm; Statistics; Probability distribution; Mathematical analysis; Geometry","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":[0.004486074,0.001137214,0.001182707,0.003079002,0.0006934035,0.00235692,0.002834198,0.00161785,0.005340687],"category_scores_gemma":[0.01867266,0.0004879588,0.001287897,0.002907408,0.002815112,0.004875084,0.002115305,0.002581862,0.001729274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405272,"about_ca_system_score_gemma":0.0009243437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007802374,"about_ca_topic_score_gemma":0.0005138108,"domain_scores_codex":[0.997025,0.0009018434,0.0001824748,0.0007649657,0.0008657313,0.000260093],"domain_scores_gemma":[0.9887446,0.004934101,0.001625391,0.001850821,0.00245619,0.0003888181],"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":[0.0002609561,0.00008720267,0.009460734,0.0002717072,0.0001316381,0.0009485583,0.0005219059,0.09920222,0.006351582,0.7452755,0.008704507,0.1287834],"study_design_scores_gemma":[0.00007620791,0.0003193425,0.004013695,0.0001084421,0.00006167334,0.002605702,0.000215569,0.507048,0.00240439,0.4449551,0.03805123,0.0001407251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01600656,0.0008377743,0.9780234,0.0005398109,0.0002254882,0.0000933085,0.0002615928,0.0003581358,0.003653865],"genre_scores_gemma":[0.7080355,0.003585303,0.2682179,0.001089498,0.001254579,0.0005987735,0.001379235,0.0003716987,0.01546742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005340687,"threshold_uncertainty_score":0.02372491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07217009899507218,"score_gpt":0.4213753159762115,"score_spread":0.3492052169811394,"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."}}