{"id":"W2050718596","doi":"10.1016/s0012-365x(03)00196-1","title":"MGDD with block size 4 and its application to sampling designs","year":2003,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Mathematics; Block size; Block (permutation group theory); Block design; Sampling (signal processing); Combinatorics; Discrete mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001644782,0.0006620435,0.00094139,0.001316009,0.0004484855,0.00085041,0.0006949225,0.001192718,0.002651995],"category_scores_gemma":[0.01099426,0.000423951,0.0006636084,0.001624763,0.0009106272,0.001060441,0.0007329772,0.0008782624,0.0003947229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037488,"about_ca_system_score_gemma":0.001072187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655282,"about_ca_topic_score_gemma":0.001774243,"domain_scores_codex":[0.9989085,0.0005310439,0.00006346935,0.0001142026,0.0003117957,0.00007107261],"domain_scores_gemma":[0.9931716,0.005189251,0.000381351,0.0007638952,0.0004093436,0.00008465154],"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":[0.0004928375,0.0001015714,0.001336399,0.0002410656,0.00006663739,0.000406594,0.0002779376,0.3186288,0.009356846,0.4913417,0.003242453,0.1745071],"study_design_scores_gemma":[0.00004602468,0.000100797,0.0002337275,0.0000362973,0.0000290502,0.0002270484,0.00001420061,0.7931798,0.003054664,0.1995296,0.003530037,0.0000187019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03191747,0.0006060839,0.9622906,0.0003430166,0.00005791707,0.00006069877,0.000120054,0.0004604955,0.004143623],"genre_scores_gemma":[0.4872094,0.001059032,0.5051598,0.0002567772,0.0002092099,0.0002538497,0.0002051629,0.0001137635,0.005533014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002651995,"threshold_uncertainty_score":0.008871794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791580345878081,"score_gpt":0.2278217770284312,"score_spread":0.2099059735696504,"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."}}