{"id":"W4229736847","doi":"10.1002/9781118445112.stat06788","title":"Overdispersion","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Overdispersion; Quasi-likelihood; Covariate; Statistics; Econometrics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003981213,0.0009324597,0.00143855,0.0003941992,0.0001254621,0.0001099043,0.000728766,0.0007211941,0.01822588],"category_scores_gemma":[0.002522419,0.0008018374,0.0001144683,0.0002813033,0.0003805662,0.00004366998,0.0002588128,0.0009825511,0.0008372114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287052,"about_ca_system_score_gemma":0.0002415265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002582072,"about_ca_topic_score_gemma":0.0006624723,"domain_scores_codex":[0.9957467,0.000401565,0.0009587112,0.001044776,0.0009751702,0.0008730487],"domain_scores_gemma":[0.9952167,0.001985567,0.0008581903,0.001246896,0.0002355918,0.0004571021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001704866,0.0001725751,0.00001545636,0.0004261075,0.00006598399,0.00003471063,0.00001865887,7.160094e-8,0.00001075208,0.4346554,0.5135131,0.05107007],"study_design_scores_gemma":[0.0004764566,0.0002138459,0.00004334844,0.001057467,0.0001937028,0.000009737299,0.00002918235,0.0005795187,0.000005330919,0.5270213,0.4695683,0.0008017393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002127673,0.000245435,0.7864132,0.00005538187,0.0005636358,0.0004420067,0.0314642,0.0004355178,0.1803785],"genre_scores_gemma":[0.00002727138,0.001099902,0.8110535,0.0001995314,0.0005936347,0.00003001373,0.002559582,0.0008397973,0.1835967],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09236588,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07023591113378734,"score_gpt":0.3892901643372831,"score_spread":0.3190542532034958,"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."}}