{"id":"W3014386945","doi":"10.1007/978-3-662-66491-9_4","title":"Generating Weakly Chordal Graphs from Arbitrary Graphs","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Algoma University; University of Windsor","funders":"","keywords":"Chordal graph; Combinatorics; Treewidth; Interval graph; Split graph; Mathematics; Pathwidth; Indifference graph; Outerplanar graph; Discrete mathematics; Graph; Computer science; 1-planar graph; Line 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004228002,0.0005501406,0.0006525531,0.0006325072,0.0007104117,0.001325293,0.001415784,0.0006183332,0.00703641],"category_scores_gemma":[0.003598492,0.0005227395,0.0008482085,0.0009030642,0.0009126024,0.001851335,0.003173482,0.001597579,0.001621037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185,"about_ca_system_score_gemma":0.000406451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003732188,"about_ca_topic_score_gemma":0.0008389381,"domain_scores_codex":[0.9995408,0.0001248474,0.00002273237,0.00008269076,0.0001656926,0.00006324051],"domain_scores_gemma":[0.9978771,0.001329849,0.00007570236,0.0004127231,0.0001999595,0.0001047215],"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":[0.0002248635,0.0001080559,0.0008309851,0.000449159,0.00002680688,0.0002672554,0.001034398,0.02467856,0.02388098,0.8096824,0.009775052,0.1290415],"study_design_scores_gemma":[0.00003281789,0.00003687074,0.0002092011,0.00002947696,0.00001698538,0.0001217304,0.0001464566,0.06177245,0.007487225,0.9217393,0.008396081,0.00001131302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1844794,0.0003571353,0.7364438,0.0007248035,0.0002213267,0.0003397703,0.0008887972,0.001563993,0.07498097],"genre_scores_gemma":[0.738562,0.000436286,0.2183698,0.0002304633,0.0001428033,0.00037535,0.002523122,0.001384082,0.03797608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00703641,"threshold_uncertainty_score":0.02353919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987532182523962,"score_gpt":0.2652933343195548,"score_spread":0.2454180124943152,"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."}}