{"id":"W4252970442","doi":"10.1002/9781118445112.stat07335","title":"Nested Experimental Designs","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nested set model; Differential (mechanical device); Subclass; Pollution; Environmental science; Computer science; Engineering; Data mining; Biology; Ecology","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":[0.08162384,0.00287988,0.004635956,0.001528274,0.001911957,0.00290595,0.004427241,0.003420959,0.03344818],"category_scores_gemma":[0.1790261,0.001548644,0.002945984,0.001537198,0.004081769,0.002674735,0.003448465,0.004894789,0.003570545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172494,"about_ca_system_score_gemma":0.004088586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000882294,"about_ca_topic_score_gemma":0.001367512,"domain_scores_codex":[0.8782899,0.09216996,0.005263096,0.01166287,0.01083333,0.001780907],"domain_scores_gemma":[0.8120962,0.1427033,0.01383937,0.02032552,0.008687052,0.002348445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03198481,0.007750098,0.0102662,0.0116175,0.004244205,0.0005777681,0.004606852,0.02765936,0.008803025,0.5682447,0.02761215,0.2966334],"study_design_scores_gemma":[0.0209148,0.03437302,0.006913803,0.003505616,0.002606444,0.0005552167,0.000698557,0.09259053,0.01195084,0.6995901,0.1257102,0.0005909446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0284293,0.001429341,0.9147516,0.0009114115,0.003042305,0.03129834,0.003120068,0.001038684,0.01597896],"genre_scores_gemma":[0.1323384,0.0007564549,0.7442591,0.001387248,0.0005379271,0.1132481,0.001159934,0.0001898018,0.006122808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08162384,"threshold_uncertainty_score":0.4316733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2917906105608165,"score_gpt":0.4902830274164149,"score_spread":0.1984924168555985,"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."}}