{"id":"W2133763020","doi":"10.1002/asmb.504","title":"Efficiency measure, modelling and estimation in combined array designs","year":2003,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Measure (data warehouse); Mathematics; Variance (accounting); Statistics; Parametric statistics; Minification; Computer science; Mathematical optimization; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03098538,0.001780431,0.002247049,0.002228574,0.0003721111,0.002001951,0.00221105,0.001972178,0.001780791],"category_scores_gemma":[0.08885927,0.001193062,0.001825506,0.001823307,0.002212346,0.002696857,0.002381224,0.001638431,0.0006138971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294262,"about_ca_system_score_gemma":0.001228034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006824733,"about_ca_topic_score_gemma":0.0005730434,"domain_scores_codex":[0.9674297,0.0237729,0.0009020338,0.002237614,0.005272902,0.0003848521],"domain_scores_gemma":[0.9048568,0.07937423,0.005449092,0.006616116,0.003434622,0.0002691451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004158232,0.0001821087,0.002894052,0.0003930323,0.0006136716,0.00009991771,0.0001965671,0.7189903,0.006391468,0.08695111,0.0006280798,0.1822439],"study_design_scores_gemma":[0.00005931378,0.0004846979,0.001563576,0.0000567681,0.0001119883,0.00006345507,0.00002442499,0.9356222,0.003975211,0.05614205,0.001853815,0.00004256956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004396284,0.0001043716,0.9950331,0.00002823996,0.000005095586,0.00002894601,0.00001040199,0.00005810267,0.0003353447],"genre_scores_gemma":[0.2652893,0.0002725527,0.731293,0.00008027316,0.0000621678,0.0008915515,0.0001693127,0.0001434032,0.001798498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03098538,"threshold_uncertainty_score":0.1638683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1822536033017244,"score_gpt":0.3617884531755646,"score_spread":0.1795348498738402,"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."}}