{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07952749,0.001025915,0.002160034,0.005505163,0.001427113,0.003585706,0.003044595,0.001089789,0.01152628],"category_scores_gemma":[0.2200651,0.0005955946,0.001661542,0.006471959,0.004407861,0.003107331,0.004178593,0.002563112,0.002352788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227103,"about_ca_system_score_gemma":0.002095992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125602,"about_ca_topic_score_gemma":0.002188333,"domain_scores_codex":[0.8598139,0.06705327,0.01459244,0.02078103,0.03601031,0.00174898],"domain_scores_gemma":[0.6151199,0.2751891,0.0386789,0.05386471,0.01559862,0.001548739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001078404,0.0003525761,0.1124381,0.005958762,0.002497672,0.002882308,0.01225226,0.006724459,0.00777175,0.2057632,0.07253999,0.5697404],"study_design_scores_gemma":[0.000121604,0.000624355,0.1061815,0.005058403,0.001496997,0.009341978,0.004777724,0.02038171,0.0241979,0.5053734,0.3219218,0.0005225876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1377783,0.02297633,0.7379243,0.008564512,0.004915292,0.002776534,0.01169081,0.00327438,0.07009963],"genre_scores_gemma":[0.785863,0.008201701,0.1594365,0.01341083,0.001490052,0.002889347,0.005236583,0.0020819,0.02139004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07952749,"threshold_uncertainty_score":0.4205866,"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."}}