{"id":"W4233857119","doi":"10.1002/0470013192.bsa168","title":"Design Effects","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Cancer Care Ontario","funders":"","keywords":"Relevance (law); Sample size determination; Context (archaeology); Sampling (signal processing); Sampling design; Sample (material); Cluster sampling; Computer science; Cluster (spacecraft); Management science; Statistics; Geography; Sociology; Mathematics; Engineering; Political science; Archaeology; Demography; Physics","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":[0.07011262,0.002379448,0.002660486,0.002102863,0.001487811,0.003677747,0.00300207,0.004619421,0.1437122],"category_scores_gemma":[0.1816802,0.001173353,0.003661105,0.001290306,0.002568877,0.003593835,0.005707663,0.004513922,0.0186062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003130523,"about_ca_system_score_gemma":0.005063504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000544672,"about_ca_topic_score_gemma":0.0007485645,"domain_scores_codex":[0.8981156,0.06187592,0.01015368,0.008885278,0.01742256,0.003546933],"domain_scores_gemma":[0.8774045,0.08063212,0.006977907,0.0206261,0.01099062,0.003368709],"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":[0.02509761,0.002247013,0.00796093,0.01378141,0.002073341,0.000223845,0.001442498,0.002571903,0.002416947,0.318248,0.06630678,0.5576297],"study_design_scores_gemma":[0.01808683,0.01432867,0.01713175,0.009341577,0.004237575,0.000704622,0.0005083288,0.003333601,0.009938236,0.2740628,0.6480122,0.0003139603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04267443,0.01507116,0.4071046,0.01313736,0.02174088,0.1096237,0.0191315,0.004201336,0.3673151],"genre_scores_gemma":[0.3955944,0.003511207,0.2485329,0.02031933,0.002502829,0.2333276,0.004404334,0.001663314,0.09014416],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1437122,"threshold_uncertainty_score":0.4807653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05205590885033837,"score_gpt":0.3962595389911793,"score_spread":0.3442036301408409,"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."}}