{"id":"W4253423488","doi":"10.1002/9780471462422.eoct967","title":"Overdispersion","year":2008,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Clinical Trials","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Overdispersion; Quasi-likelihood; Covariate; Econometrics; Statistics; Poisson distribution; Mathematics; Negative binomial distribution; Count data","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008647914,0.0004069816,0.004217342,0.0001649899,0.00002922945,0.000009577836,0.0004430351,0.001127681,0.01374364],"category_scores_gemma":[0.1530648,0.0002964129,0.001052326,0.0001640862,0.0003758103,0.00002548359,0.0001285353,0.0005755423,0.0002387505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001106655,"about_ca_system_score_gemma":0.0002587873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000613724,"about_ca_topic_score_gemma":0.000009876029,"domain_scores_codex":[0.9909615,0.003450007,0.004049714,0.0005906094,0.0006326343,0.000315549],"domain_scores_gemma":[0.952199,0.04339663,0.003161824,0.0008651259,0.00008653488,0.0002908439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006943873,0.0002273278,0.0002498633,0.0002052664,0.0001505424,0.00001916551,0.00001430124,5.268116e-9,8.583361e-7,0.03897205,0.8024533,0.1576378],"study_design_scores_gemma":[0.001044211,0.0001663945,0.0001095072,0.001008024,0.0002750908,0.000002749293,0.000005467145,0.000005290676,0.000004763695,0.2112913,0.7857747,0.0003124359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000008620868,0.0007060828,0.08555569,0.00005871235,0.002831312,0.0007516854,0.0004667557,0.0001502177,0.9094709],"genre_scores_gemma":[0.00000765799,0.04491302,0.6422272,0.00009339082,0.004474612,0.00002988701,0.00002256362,0.0004167339,0.3078149],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.601656,"threshold_uncertainty_score":0.9999488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3081513946820061,"score_gpt":0.5324664972897644,"score_spread":0.2243151026077582,"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."}}