{"id":"W1579357699","doi":"10.1007/978-3-540-30551-4_77","title":"Sweeping Graphs with Large Clique Number","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Regina","funders":"","keywords":"Computer science; Clique; Clique problem; Theoretical computer science; Combinatorics; Graph; Chordal graph; Mathematics; 1-planar graph","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001417003,0.0007123715,0.0006496715,0.001055464,0.000475011,0.000585294,0.005022633,0.000365085,0.00007053364],"category_scores_gemma":[0.00008184317,0.0006005174,0.0001707556,0.001593287,0.001311889,0.001141099,0.001936319,0.001714051,0.0001379935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659146,"about_ca_system_score_gemma":0.001121111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001685492,"about_ca_topic_score_gemma":0.0001209167,"domain_scores_codex":[0.9941052,0.00006494636,0.0005056027,0.002227039,0.001666573,0.001430661],"domain_scores_gemma":[0.9962307,0.000518651,0.000280337,0.002230155,0.0004089925,0.0003311918],"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":[0.00001942161,0.00004734192,0.0002690826,0.00005274413,0.00002074146,0.0004468569,0.0006638622,0.01889919,0.00005253838,0.8588738,0.000004607239,0.1206498],"study_design_scores_gemma":[0.0005884274,0.0002234066,0.0001228619,0.0007021426,0.000005340792,0.0002226159,2.012957e-7,0.02538894,0.001051759,0.9699575,0.0008453386,0.0008915262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000160809,0.0002050129,0.9886688,0.0005639013,0.0006245876,0.0005503562,0.000006157226,0.000295206,0.008925178],"genre_scores_gemma":[0.3260294,0.0000724955,0.6709855,0.002036007,0.0002632222,0.00002791478,0.000005974011,0.00009524907,0.0004842411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3258686,"threshold_uncertainty_score":0.9996446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501995590418707,"score_gpt":0.279937042215901,"score_spread":0.264917086311714,"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."}}