{"id":"W4248970741","doi":"10.1016/b978-008044910-4.00431-4","title":"Experimental Design","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Statistic; Variables; Econometrics; Statistics; Outcome (game theory); Set (abstract data type); Population; Sample size determination; Statistical hypothesis testing; Test statistic; Sample (material); Range (aeronautics); Computer science; Mathematics; Engineering; Demography","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":[0.008759355,0.002751299,0.002611215,0.001416746,0.00144798,0.002024819,0.002605179,0.003683187,0.212054],"category_scores_gemma":[0.01335909,0.001663678,0.0009397384,0.001068932,0.002550329,0.001176388,0.002190134,0.003303436,0.03735639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105826,"about_ca_system_score_gemma":0.003964312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007375358,"about_ca_topic_score_gemma":0.001138427,"domain_scores_codex":[0.9914801,0.002345724,0.0007708648,0.003145913,0.001389836,0.0008675824],"domain_scores_gemma":[0.9926232,0.002333207,0.0005852989,0.002886305,0.001010494,0.0005615163],"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":[0.06804576,0.0194193,0.002488737,0.008453174,0.0006195415,0.0005913452,0.001645576,0.006281173,0.110752,0.1266604,0.1269685,0.5280746],"study_design_scores_gemma":[0.0431378,0.04936083,0.007116058,0.002168413,0.001389047,0.0005898412,0.0003258328,0.01278716,0.05379449,0.1057529,0.7231624,0.0004151882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08245133,0.00284529,0.4536604,0.002392248,0.009424226,0.1772851,0.0189214,0.01354566,0.2394743],"genre_scores_gemma":[0.1054742,0.00185939,0.2299114,0.00416265,0.001084996,0.4413843,0.00556221,0.002078321,0.2084826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.212054,"threshold_uncertainty_score":0.7093912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503782306007474,"score_gpt":0.2288874561440209,"score_spread":0.1738496330839462,"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."}}