{"id":"W1982700054","doi":"10.1016/s0378-3758(00)00213-5","title":"On the orthogonal designs of order 40","year":2001,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Centre International de Recherche sur le Cancer","keywords":"Mathematics; Orthogonal array; Order (exchange); Construct (python library); Combinatorics; Statistics; Taguchi methods; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.200203,0.004066789,0.008134856,0.003898937,0.002629607,0.004525866,0.004034217,0.003491417,0.0131844],"category_scores_gemma":[0.3452606,0.004876424,0.005363281,0.004808356,0.01343512,0.009732629,0.007350038,0.007273601,0.00159306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004396632,"about_ca_system_score_gemma":0.01293411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249419,"about_ca_topic_score_gemma":0.003704566,"domain_scores_codex":[0.7143412,0.2510571,0.007052253,0.01024989,0.01462525,0.002674401],"domain_scores_gemma":[0.4946816,0.4497072,0.01011369,0.0354032,0.008646892,0.001447347],"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":[0.001028992,0.0001256765,0.000630377,0.0004054427,0.0002942962,0.00006226554,0.0005515696,0.0212932,0.0004114212,0.907605,0.001768545,0.06582329],"study_design_scores_gemma":[0.0005201229,0.0003591723,0.0004369469,0.000172067,0.0001290148,0.00005131603,0.00004624739,0.0489127,0.0004232681,0.9439041,0.004976254,0.00006867231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00359011,0.0005431219,0.9923645,0.0003558657,0.000131293,0.0004838229,0.0001536784,0.0001234467,0.002254128],"genre_scores_gemma":[0.05723651,0.001225993,0.9333498,0.0005226536,0.0002379025,0.004848871,0.0003050036,0.0001523103,0.002120901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.200203,"threshold_uncertainty_score":0.9862921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2938740718791428,"score_gpt":0.4945985188595861,"score_spread":0.2007244469804433,"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."}}