{"id":"W2963269633","doi":"10.1002/jgt.22929","title":"A new graph parameter to measure linearity","year":2023,"lang":"en","type":"article","venue":"Journal of Graph Theory","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Combinatorics; Mathematics; Chordal graph; Indifference graph; Discrete mathematics; Interval graph; Pathwidth; Lexicographical order; Cograph; Split graph; Vertex (graph theory); Conjecture; Maximal independent set; Graph; 1-planar graph; Line 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":[0.003319409,0.0009247014,0.001063059,0.004856012,0.001371667,0.004212779,0.002364191,0.002202817,0.00654636],"category_scores_gemma":[0.02573594,0.0006063597,0.0006992329,0.003402902,0.006355761,0.01331139,0.003303498,0.003495738,0.0007905174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297153,"about_ca_system_score_gemma":0.0008826993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099627,"about_ca_topic_score_gemma":0.0008199497,"domain_scores_codex":[0.9948447,0.001860289,0.0002962815,0.00163861,0.0009938849,0.0003661966],"domain_scores_gemma":[0.9620128,0.02081923,0.004963411,0.007188285,0.003012504,0.002003772],"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":[0.0002276837,0.0001523234,0.006964946,0.0001500594,0.00006935219,0.0001298434,0.0007012932,0.01940529,0.01298613,0.930551,0.002363348,0.02629886],"study_design_scores_gemma":[0.00007521863,0.0003739177,0.005848289,0.0001673232,0.0000968647,0.0005974965,0.0008114096,0.1870044,0.02188641,0.760155,0.02269105,0.0002926866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2679662,0.001458379,0.677394,0.002605882,0.0005711835,0.0002584911,0.001035152,0.001958301,0.04675238],"genre_scores_gemma":[0.9176161,0.0002623682,0.07745989,0.0004100935,0.0004174458,0.0002700163,0.0003413729,0.0004289222,0.002793787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00654636,"threshold_uncertainty_score":0.02392262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0419654132220377,"score_gpt":0.3163577701094336,"score_spread":0.2743923568873959,"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."}}