{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000968242,0.0003476975,0.0006695059,0.0005335417,0.00004938532,0.00003256616,0.000783602,0.0002212069,0.002188464],"category_scores_gemma":[0.001797661,0.0003144775,0.00003444621,0.0007237783,0.001106223,0.000070533,0.0001504657,0.0003669777,0.00003648877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283247,"about_ca_system_score_gemma":0.0003944717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002791017,"about_ca_topic_score_gemma":0.0001526547,"domain_scores_codex":[0.9972393,0.0001614759,0.0005819314,0.0005661009,0.0008910382,0.0005601789],"domain_scores_gemma":[0.9972104,0.001576459,0.0004244822,0.0005113585,0.00009574837,0.0001815007],"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":[0.0000127143,0.0006035291,0.0006664664,0.0004342738,0.000006010634,0.0001461469,0.000339921,5.993696e-7,0.0001591878,0.4187574,0.1335912,0.4452825],"study_design_scores_gemma":[0.001207579,0.0008958789,0.004106775,0.002253749,0.0003100399,0.00001563274,0.00005894026,0.0006232084,0.0007372513,0.9450248,0.04286789,0.001898197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002042365,0.00008224739,0.765766,0.00000537676,0.0005133146,0.000546904,0.0002621706,0.00006177241,0.2327417],"genre_scores_gemma":[0.0001380035,0.0003022109,0.9536943,0.000009824682,0.0001175191,0.00004839665,0.000005049154,0.0001696624,0.04551498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5262675,"threshold_uncertainty_score":0.9999307,"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."}}