{"id":"W144515280","doi":"","title":"Greedy Defining Sets in Latin Squares.","year":2008,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Latin square; Mathematics; Greedy algorithm; Least-squares function approximation; Combinatorics; Mathematical optimization; Statistics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009239528,0.0005075507,0.0005245591,0.001066045,0.001437361,0.002246098,0.000962488,0.0009796877,0.01113367],"category_scores_gemma":[0.004917332,0.0004441692,0.0005130693,0.001265676,0.002186371,0.003404706,0.002725228,0.002100379,0.002749932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106592,"about_ca_system_score_gemma":0.0006413577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007198125,"about_ca_topic_score_gemma":0.001594176,"domain_scores_codex":[0.9985642,0.0007056317,0.0000525835,0.0002162463,0.0003051694,0.0001561769],"domain_scores_gemma":[0.9980908,0.001050026,0.0001561838,0.0002953846,0.0002335572,0.0001740032],"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":[0.00001027537,0.0000083832,0.00006513068,0.00001667519,0.000002514737,0.00001871557,0.00007179293,0.000849208,0.0003252419,0.9893934,0.001932925,0.007305799],"study_design_scores_gemma":[0.000009034375,0.00001045544,0.0000636672,0.00001460069,0.000003291817,0.00007783569,0.00007481068,0.005818061,0.0004775933,0.9845523,0.008891395,0.000006954403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06762388,0.001476603,0.6950688,0.001899018,0.0005900055,0.0001269357,0.0003267191,0.0004732944,0.2324146],"genre_scores_gemma":[0.5942184,0.001305711,0.3083577,0.001840867,0.0004880642,0.0004418773,0.0006323078,0.0005208291,0.0921943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01113367,"threshold_uncertainty_score":0.03724581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178347906191565,"score_gpt":0.1994339256728513,"score_spread":0.1876504466109356,"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."}}