{"id":"W4246135378","doi":"10.1002/9781118445112.stat06634","title":"Design Effects","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Cancer Care Ontario","funders":"","keywords":"Relevance (law); Context (archaeology); Sample size determination; Cluster sampling; Sampling design; Sampling (signal processing); Sample (material); Computer science; Cluster (spacecraft); Management science; Statistics; Mathematics; Geography; Sociology; Engineering; Political science; Physics; Programming language","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":[0.08053956,0.002955888,0.003433575,0.002625018,0.00177788,0.003791679,0.003439897,0.005312107,0.1759923],"category_scores_gemma":[0.1879849,0.001361307,0.004733133,0.001524176,0.002917539,0.003551314,0.006209308,0.005515354,0.02494941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003581133,"about_ca_system_score_gemma":0.007220229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006671663,"about_ca_topic_score_gemma":0.0009272979,"domain_scores_codex":[0.8810185,0.07268561,0.01281829,0.01075666,0.0184842,0.004236808],"domain_scores_gemma":[0.8852851,0.07260697,0.007028197,0.01980755,0.01189662,0.003375576],"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":[0.04024347,0.002737374,0.005935059,0.01943095,0.002593825,0.0002330007,0.001392117,0.003072293,0.001981521,0.2634748,0.09204431,0.5668613],"study_design_scores_gemma":[0.0320097,0.01680195,0.01240907,0.01148069,0.004197535,0.0005428097,0.0004717337,0.004280267,0.008029252,0.2385172,0.670923,0.0003367856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02832397,0.01359485,0.3801641,0.01120021,0.02437794,0.2089638,0.02474978,0.004766228,0.3038591],"genre_scores_gemma":[0.2355148,0.002826781,0.2447118,0.01615549,0.002202716,0.4197085,0.004511864,0.001645252,0.07272284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1759923,"threshold_uncertainty_score":0.5887529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878789604205307,"score_gpt":0.4605545715467135,"score_spread":0.2726756111261828,"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."}}