{"id":"W2507592422","doi":"10.1177/0008068320020515","title":"Split Block Designs","year":2002,"lang":"en","type":"article","venue":"Calcutta Statistical Association Bulletin","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Block (permutation group theory); Mathematics; Class (philosophy); Arithmetic; Computer science; Mathematical optimization; Statistics; Algorithm; Combinatorics; Artificial intelligence","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004342746,0.0002411294,0.000470654,0.0001555279,0.0002514979,0.0004535675,0.0006166783,0.0002225917,0.05316995],"category_scores_gemma":[0.03064031,0.0002067821,0.0001407338,0.0006119025,0.000110538,0.00009797249,0.0001423469,0.0003195727,0.03213017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881563,"about_ca_system_score_gemma":0.00002140164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001653227,"about_ca_topic_score_gemma":0.000001199553,"domain_scores_codex":[0.9939104,0.001342578,0.0009985968,0.0007305144,0.002402297,0.0006155671],"domain_scores_gemma":[0.9877415,0.01058968,0.0004024449,0.000483101,0.0004284652,0.0003548317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002100683,0.0002065688,0.00234818,0.000002400036,0.00002955834,0.00003273237,0.0002096023,0.00003656605,0.001048154,0.03905117,0.9334267,0.02358731],"study_design_scores_gemma":[0.001000031,0.0002699039,0.01449042,0.00001105171,0.00004450359,0.00001576541,0.0002431523,0.01438641,0.001361144,0.02236245,0.9452142,0.0006009509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007561715,0.0004742598,0.7649153,0.02583951,0.001564664,0.0008960583,0.0005789714,0.000397876,0.1977716],"genre_scores_gemma":[0.4103024,0.00002404173,0.4609756,0.003302054,0.0004013657,0.0000753405,0.00002178831,0.00006310599,0.1248343],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4027407,"threshold_uncertainty_score":0.977525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1838751938998208,"score_gpt":0.4101778376903155,"score_spread":0.2263026437904947,"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."}}