{"id":"W2042888778","doi":"10.1007/s001840000073","title":"Comparison of test vs. control treatments using distance optimality criterion","year":2000,"lang":"en","type":"article","venue":"Metrika","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Optimality criterion; Optimal design; Mathematical optimization; Set (abstract data type); Optimal control; Expression (computer science); Statistics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00008329742,0.0001403001,0.0003797435,0.00007904631,0.00004036973,0.00001680365,0.00008608779,0.00005714245,0.0001055416],"category_scores_gemma":[0.00005462756,0.0001422134,0.00005411885,0.0003188133,0.0000220373,0.0001743597,0.000003952489,0.00006031429,0.00001317184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608433,"about_ca_system_score_gemma":0.00000581656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003273679,"about_ca_topic_score_gemma":0.000004251849,"domain_scores_codex":[0.9991169,0.00003064101,0.0003783988,0.0001405136,0.0001502593,0.0001832884],"domain_scores_gemma":[0.9995171,0.0001032705,0.00006688904,0.000220773,0.00004466651,0.00004729495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004858922,0.00008605618,0.04572793,0.00004891215,0.00005234581,0.000001645046,0.00008625248,0.9328032,0.008132053,0.00001531882,0.00002594841,0.01297173],"study_design_scores_gemma":[0.00150272,0.00007622029,0.008591977,0.00004921842,0.00006247144,0.000001929031,0.00001422788,0.9834108,0.004900352,0.00001404268,0.0012169,0.0001591158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3504645,0.002029745,0.6444002,0.00001212028,0.0001763629,0.0004272975,0.00008965041,0.0002268649,0.002173231],"genre_scores_gemma":[0.9902372,0.00002640153,0.009520317,0.000007260829,0.00004057958,0.00001299565,0.0000108937,0.00002660076,0.0001177909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6397727,"threshold_uncertainty_score":0.5799295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867736601017582,"score_gpt":0.2966239304629356,"score_spread":0.2779465644527598,"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."}}