{"id":"W2094345793","doi":"10.1016/j.ejc.2007.04.010","title":"Latin squares and low discrepancy allocation of two-dimensional data","year":2007,"lang":"en","type":"article","venue":"European Journal of Combinatorics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Rectangle; Latin square; Combinatorics; Tile; Mathematics; Square (algebra); Space (punctuation); Discrete mathematics; Algorithm; Computer science; Geometry; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.005630055,0.001199447,0.002381153,0.001957086,0.001199046,0.003766748,0.003243305,0.002192222,0.004876225],"category_scores_gemma":[0.04530032,0.001002978,0.000796588,0.003612318,0.004147425,0.0046186,0.006375784,0.002890125,0.001375955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009461,"about_ca_system_score_gemma":0.001720582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193178,"about_ca_topic_score_gemma":0.001013284,"domain_scores_codex":[0.9931372,0.003875457,0.0003466091,0.0007870332,0.001229599,0.0006240291],"domain_scores_gemma":[0.9670984,0.0232579,0.001623907,0.005068185,0.001738392,0.001213095],"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":[0.001300809,0.0001673184,0.00148633,0.0002695933,0.00009760407,0.0001978488,0.0005152015,0.1995836,0.005756361,0.7105597,0.007379602,0.07268603],"study_design_scores_gemma":[0.00008980798,0.00007859456,0.0002307878,0.00003216526,0.00001313994,0.000130549,0.00007675672,0.3641691,0.001639803,0.6314836,0.002022302,0.000033489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09405539,0.0008377709,0.8961912,0.001664188,0.0001821637,0.00007667488,0.0002651847,0.0006143108,0.006113127],"genre_scores_gemma":[0.6443664,0.0008104227,0.3368969,0.0009499497,0.0004874573,0.0005928597,0.000949697,0.0005949457,0.01435128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005630055,"threshold_uncertainty_score":0.02977496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908495583218996,"score_gpt":0.2859633665509024,"score_spread":0.2568784107187124,"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."}}