{"id":"W2949180570","doi":"10.24963/ijcai.2019/180","title":"Local Search with Efficient Automatic Configuration for Minimum Vertex Cover","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; Youth Innovation Promotion Association; Chinese Academy of Sciences","keywords":"Computer science; Vertex cover; Configurator; Solver; Cover (algebra); Local search (optimization); Vertex (graph theory); Parametric statistics; Theoretical computer science; Process (computing); Graph; Algorithm; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000392002,0.000103448,0.0001313857,0.0001121166,0.00007925825,0.0001025798,0.0005294585,0.00003717092,0.0001979625],"category_scores_gemma":[0.00002026405,0.000073781,0.00003865324,0.0003525112,0.00008911162,0.0002393498,0.00009585218,0.00009030363,0.0006108109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005755917,"about_ca_system_score_gemma":0.0001314255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003556633,"about_ca_topic_score_gemma":0.00000192167,"domain_scores_codex":[0.9986298,0.00005872421,0.0001341022,0.0003567333,0.0004561644,0.0003644656],"domain_scores_gemma":[0.9987839,0.0003967758,0.00002724468,0.0005192294,0.0001787626,0.00009402465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001429409,0.000159358,0.0001890059,0.0001403448,0.00003720662,0.000006726696,0.0005264264,0.05776892,0.00626048,0.89233,0.0009315111,0.04150706],"study_design_scores_gemma":[0.0008617465,0.0004461182,0.0003325673,0.00002042427,0.000001748866,0.000007197159,0.00007979523,0.982787,0.01253481,0.002294809,0.0005063952,0.0001274556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09463754,0.000009890763,0.8976046,0.000250218,0.00008591897,0.0007747086,0.000001849653,0.0001260177,0.006509203],"genre_scores_gemma":[0.9728032,3.685447e-7,0.02315975,0.0001575351,0.000006407212,0.00004080574,0.000003325928,0.00001044032,0.003818129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.925018,"threshold_uncertainty_score":0.7850943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497673071625207,"score_gpt":0.2824998663726041,"score_spread":0.2675231356563521,"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."}}