{"id":"W2027590663","doi":"10.1016/s0166-218x(99)00232-2","title":"On the orthogonal designs of order 24","year":2000,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Mathematics; Orthogonal array; Order (exchange); Construct (python library); Combinatorics; Mathematical optimization; Statistics; Computer science; Taguchi methods","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":["insufficient_payload"],"category_scores_codex":[0.00271546,0.0002091808,0.0003840142,0.00008584023,0.0001332394,0.0001049399,0.0009651067,0.00007793325,0.01133983],"category_scores_gemma":[0.0007812409,0.0001111028,0.0001350445,0.0007437167,0.0002621086,0.00006893662,0.00008306558,0.0001658595,0.00149096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000171808,"about_ca_system_score_gemma":0.00004466994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001692182,"about_ca_topic_score_gemma":6.984629e-7,"domain_scores_codex":[0.9970185,0.0001272629,0.0007796992,0.0003421688,0.001470909,0.0002614488],"domain_scores_gemma":[0.9946956,0.00389233,0.0002490415,0.0009877271,0.00009040179,0.00008488562],"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":[0.00008307853,0.0001861937,0.0000054663,0.00001044353,0.00002800814,0.000001897198,0.001889616,0.0006171949,0.03014492,0.9486987,0.004539127,0.01379537],"study_design_scores_gemma":[0.000367148,0.0001450887,0.00006928545,0.00003109936,0.00002646225,0.00000668764,0.002575597,0.008236345,0.06860112,0.9173654,0.002287761,0.0002880532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2439805,0.00004071292,0.1817645,0.0005534725,0.0001114831,0.0008895645,0.00003117454,0.00006453409,0.572564],"genre_scores_gemma":[0.5575139,0.000007827857,0.4375413,0.0007003741,0.00003018483,0.00008221354,0.000003019571,0.00004074916,0.004080398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5684836,"threshold_uncertainty_score":0.9992865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1677320821741374,"score_gpt":0.4070227853266725,"score_spread":0.2392907031525351,"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."}}