{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1508972,0.0012124,0.002752564,0.004357373,0.0009379042,0.003026646,0.002785964,0.001422742,0.00989143],"category_scores_gemma":[0.3652376,0.0005741789,0.002328899,0.005890212,0.004120126,0.003092645,0.003611251,0.002845952,0.001649495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256106,"about_ca_system_score_gemma":0.002418911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007672448,"about_ca_topic_score_gemma":0.001244573,"domain_scores_codex":[0.7485189,0.150636,0.02981506,0.02402066,0.04524574,0.001763639],"domain_scores_gemma":[0.4469547,0.4253211,0.04632059,0.06642744,0.01363703,0.001339167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002176674,0.0003551645,0.06537336,0.008530834,0.004972673,0.003083586,0.006970506,0.007824101,0.00317288,0.1916942,0.06223297,0.643613],"study_design_scores_gemma":[0.0003378417,0.001278,0.07720499,0.007783865,0.003211913,0.01048523,0.002564443,0.02923481,0.0143686,0.6033267,0.2496787,0.0005248868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07100938,0.03474896,0.8139116,0.01151887,0.006263899,0.004817499,0.008833493,0.002227021,0.04666924],"genre_scores_gemma":[0.7318779,0.01244557,0.2036651,0.01978105,0.002803031,0.006414326,0.00363242,0.001449144,0.01793143],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1508972,"threshold_uncertainty_score":0.7980301,"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."}}