{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002889032,0.001062359,0.001786826,0.001076563,0.000150048,0.0004523278,0.002391873,0.0007396235,0.01221215],"category_scores_gemma":[0.006904279,0.0008327859,0.0001374698,0.0008842817,0.0005277891,0.0001215109,0.0004611281,0.0008940961,0.006684809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645123,"about_ca_system_score_gemma":0.0004194685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844595,"about_ca_topic_score_gemma":0.0001235766,"domain_scores_codex":[0.9896767,0.002689518,0.001500608,0.00186738,0.003285379,0.0009804151],"domain_scores_gemma":[0.9876506,0.007626767,0.001437975,0.002231765,0.0004527998,0.0006000894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007095102,0.000236983,0.00001809422,0.00007840403,0.00007921993,0.00009594188,0.0000670236,0.00005814884,0.000589673,0.01043092,0.870494,0.1177806],"study_design_scores_gemma":[0.001137341,0.001082552,0.00009395788,0.0006287085,0.0001297008,0.00001776522,0.00008168129,0.008037884,0.000447738,0.06320775,0.9236503,0.001484646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002592655,0.001639657,0.8791702,0.00003869015,0.001386073,0.0009937875,0.00584005,0.0003523477,0.1105766],"genre_scores_gemma":[0.00005215882,0.0005075131,0.6382332,0.000313196,0.0003340217,0.00005287656,0.000745477,0.0006033405,0.3591582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2485816,"threshold_uncertainty_score":0.9994123,"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."}}