{"id":"W2027568724","doi":"10.1016/j.disc.2008.05.033","title":"Sweeping graphs with large clique number","year":2008,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Mathematics; Combinatorics; Clique; Enhanced Data Rates for GSM Evolution; Monotonic function; Clique number; Discrete mathematics; Upper and lower bounds; Clique-sum; Chordal graph; Graph; Computer science; 1-planar graph","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":[0.0007027324,0.0005309795,0.0009569205,0.001874795,0.001690159,0.002076303,0.001493771,0.001631556,0.01195532],"category_scores_gemma":[0.007140994,0.001023019,0.0007688312,0.002339169,0.001491396,0.003445796,0.001838078,0.001997263,0.0007313319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006830902,"about_ca_system_score_gemma":0.0004539482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009808925,"about_ca_topic_score_gemma":0.001903309,"domain_scores_codex":[0.999353,0.0001604089,0.00002329463,0.0001803595,0.0001480956,0.0001348022],"domain_scores_gemma":[0.9885344,0.008081029,0.0008179655,0.001145842,0.0004032373,0.001017484],"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":[0.0006849577,0.0002495409,0.005664793,0.0004050192,0.000167205,0.001161383,0.0007468775,0.06566279,0.02262551,0.8461702,0.0125385,0.04392309],"study_design_scores_gemma":[0.0001570869,0.00006706517,0.003125118,0.00003410627,0.00007121357,0.0007432778,0.0003487373,0.1669326,0.00475243,0.8172266,0.006509976,0.00003183665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736908,0.000582566,0.1758229,0.002004261,0.0001067338,0.0001768197,0.001305985,0.0008276636,0.04548237],"genre_scores_gemma":[0.9172217,0.0004928243,0.06239881,0.0003354849,0.0001572302,0.0001651026,0.001321347,0.0003255969,0.01758187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01195532,"threshold_uncertainty_score":0.03999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245550563354613,"score_gpt":0.2972137634861475,"score_spread":0.2726587071506862,"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."}}