{"id":"W2423480771","doi":"10.1002/jgt.22053","title":"Minimum Power Dominating Sets of Random Cubic Graphs","year":2016,"lang":"en","type":"article","venue":"Journal of Graph Theory","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Cubic graph; Combinatorics; Heuristics; Random graph; Independent set; Dominating set; Discrete mathematics; Graph; Line graph; Mathematical optimization; Voltage graph; Vertex (graph theory)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005257805,0.0001948234,0.0004994951,0.001021999,0.0001093033,0.00003905526,0.001720653,0.00008240395,0.00008341706],"category_scores_gemma":[0.0009035298,0.0001163387,0.0005179386,0.0008757995,0.0004702632,0.0009854831,0.0002292273,0.0002905081,0.00001061426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003101151,"about_ca_system_score_gemma":0.0001048093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.265767e-7,"about_ca_topic_score_gemma":3.653564e-7,"domain_scores_codex":[0.9969112,0.0008229943,0.0008235409,0.0002417575,0.0007720955,0.0004283992],"domain_scores_gemma":[0.9951504,0.00256281,0.0008770788,0.0006163234,0.0005852861,0.0002081107],"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":[0.001287833,0.0001807646,0.001059674,0.00002745494,0.0002129615,0.0001240616,0.001027392,0.00001200536,0.1294646,0.7891721,0.0003802821,0.07705095],"study_design_scores_gemma":[0.003716051,0.0004786994,0.000908332,0.0002496713,0.0000169844,0.0002145595,0.0001451929,0.00002198967,0.03232275,0.9615219,0.0002328644,0.0001710019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5022993,0.001376215,0.4930522,0.0005388224,0.0006580493,0.0001658756,0.000005119018,0.00003160453,0.001872842],"genre_scores_gemma":[0.9877707,0.0001590729,0.01176379,0.00007425336,0.00003098945,0.000002809949,7.075271e-8,0.00001855253,0.0001797471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4854714,"threshold_uncertainty_score":0.4744153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229742065872121,"score_gpt":0.2818623216307887,"score_spread":0.2695649009720675,"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."}}