{"id":"W2126829018","doi":"10.1016/j.disc.2005.03.020","title":"Rebuilding convex sets in graphs","year":2005,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Combinatorics; Mathematics; Convex hull; Neighbourhood (mathematics); Convex set; Vertex (graph theory); Wheel graph; Discrete mathematics; Independent set; Chordal graph; Distance; Graph; Graph power; Regular polygon; Line graph; Geometry; Convex optimization","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":[0.0008940899,0.0009213348,0.001352296,0.001843358,0.00163729,0.002780704,0.002153508,0.00129825,0.01093813],"category_scores_gemma":[0.006008062,0.001222437,0.001402842,0.001510135,0.002992115,0.005081881,0.004671823,0.00487629,0.00229404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157523,"about_ca_system_score_gemma":0.0005677128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199729,"about_ca_topic_score_gemma":0.003042207,"domain_scores_codex":[0.9989672,0.0003430563,0.00004605336,0.0002023062,0.0002995528,0.0001419224],"domain_scores_gemma":[0.9959158,0.001698702,0.0001794309,0.00155915,0.0003299629,0.0003170004],"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":[0.0001061964,0.00007050382,0.0003353693,0.0001956334,0.00004851334,0.0001901964,0.000577413,0.03518436,0.00816243,0.8833156,0.007152816,0.06466097],"study_design_scores_gemma":[0.00001268676,0.00002144732,0.0001572483,0.00003211096,0.00001732184,0.00009452268,0.0002399036,0.03918834,0.003227843,0.9452567,0.0117374,0.00001441057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1578722,0.001085372,0.7828807,0.002650203,0.0006525217,0.0001241645,0.0003815002,0.001495083,0.05285833],"genre_scores_gemma":[0.5776268,0.001557359,0.3710082,0.0008674503,0.000291492,0.0001358624,0.0008255436,0.002018026,0.04566935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01093813,"threshold_uncertainty_score":0.03659171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638036816679087,"score_gpt":0.320545643663371,"score_spread":0.2941652754965801,"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."}}