{"id":"W4389482199","doi":"10.1007/978-3-031-49190-0_13","title":"Parameterized Algorithms for Cluster Vertex Deletion on Degree-4 Graphs and General Graphs","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Parameterized complexity; Combinatorics; Vertex (graph theory); Feedback vertex set; Computer science; Degree (music); Neighbourhood (mathematics); Discrete mathematics; Graph; Pathwidth; Mathematics; Algorithm; Line graph; Physics","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":[0.001640744,0.00185665,0.002410874,0.001420532,0.00221023,0.003807224,0.007908365,0.002058788,0.01533236],"category_scores_gemma":[0.007928447,0.001527109,0.002265198,0.005200361,0.001735964,0.009265115,0.005501841,0.003793774,0.003403793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004728367,"about_ca_system_score_gemma":0.003562922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00407463,"about_ca_topic_score_gemma":0.008442309,"domain_scores_codex":[0.9979228,0.0004034059,0.0001144307,0.0006657463,0.0004796666,0.0004139994],"domain_scores_gemma":[0.9925774,0.00292086,0.0004646332,0.003133326,0.0005261415,0.0003775341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001278904,0.0006149244,0.002267679,0.0009786618,0.0002262204,0.0002060658,0.0007899167,0.3011041,0.01337809,0.2256147,0.0472824,0.4062583],"study_design_scores_gemma":[0.0002538011,0.00009448473,0.000754317,0.00007086433,0.0001187138,0.0002535277,0.0003726459,0.5793605,0.009159933,0.3931269,0.016378,0.00005635837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08474698,0.0007541917,0.8870751,0.000929889,0.000191369,0.0004987059,0.001406892,0.004822,0.01957484],"genre_scores_gemma":[0.2223732,0.0007171993,0.7463583,0.0003275689,0.0001550461,0.0005486165,0.004768363,0.002102976,0.02264886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01533236,"threshold_uncertainty_score":0.05129188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257799256211758,"score_gpt":0.306041183137869,"score_spread":0.2534631905757515,"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."}}