{"id":"W2020172162","doi":"10.1007/s00362-006-0328-5","title":"2 m 41 designs with minimum aberration or weak minimum aberration","year":2007,"lang":"en","type":"article","venue":"Statistical Papers","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Nankai University; National Natural Science Foundation of China","keywords":"Mathematics; Zhàng; Combinatorics; Discrete mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004066146,0.0003164362,0.0004237961,0.0002312557,0.0002810506,0.000314057,0.0004561749,0.0001683887,0.004849826],"category_scores_gemma":[0.004758219,0.0002031486,0.00006874556,0.0009030093,0.0004747173,0.000422848,0.00006244923,0.0002378506,0.0006924746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480741,"about_ca_system_score_gemma":0.000210352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003980178,"about_ca_topic_score_gemma":0.0002572598,"domain_scores_codex":[0.9950534,0.0005299331,0.0009614679,0.0008466537,0.001979133,0.0006293824],"domain_scores_gemma":[0.9923096,0.006205269,0.0002457087,0.0005399696,0.0002619886,0.0004374916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007733976,0.0007172558,0.002738456,0.00003253649,0.0001403339,0.0004760271,0.004040741,0.0003667192,0.5410917,0.1176755,0.06023729,0.2647494],"study_design_scores_gemma":[0.01865095,0.02721701,0.2824212,0.0003805316,0.0007375834,0.0007411949,0.08827372,0.06585222,0.1539351,0.1397847,0.213508,0.008497788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01461921,0.00003859483,0.8481829,0.0003523623,0.0005239967,0.000544934,0.00005066254,0.00009533395,0.135592],"genre_scores_gemma":[0.5642779,0.000003311927,0.426563,0.0004683584,0.0001236186,0.00002321572,0.00002833168,0.00003384053,0.008478472],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5496587,"threshold_uncertainty_score":0.9960599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321296103375603,"score_gpt":0.4336010623331525,"score_spread":0.3014714519955921,"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."}}