{"id":"W2731138409","doi":"","title":"A new family of facet defining inequalities for the maximum edge-weighted clique problem","year":2015,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Clique; Mathematics; Enhanced Data Rates for GSM Evolution; Clique problem; Facet (psychology); Combinatorics; Cutting-plane method; Polynomial; Discrete mathematics; Mathematical optimization; Computer science; Graph; Artificial intelligence; Chordal graph; Integer programming; 1-planar graph","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":[0.002119073,0.001355017,0.0008760117,0.001550523,0.001003114,0.002686133,0.001682213,0.001092292,0.00531029],"category_scores_gemma":[0.007006572,0.0005842831,0.00154391,0.001992687,0.001299244,0.004904454,0.001833055,0.005468024,0.0006654033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483371,"about_ca_system_score_gemma":0.001247734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002474642,"about_ca_topic_score_gemma":0.002895623,"domain_scores_codex":[0.997596,0.0005609585,0.0001258297,0.000418328,0.001002262,0.0002966736],"domain_scores_gemma":[0.9972957,0.001557111,0.0003227061,0.0002115779,0.0004397598,0.0001732522],"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":[0.0001234781,0.0001646289,0.001831868,0.0003881583,0.000101517,0.0003353313,0.0004267738,0.09428998,0.0105021,0.7320567,0.01682606,0.1429535],"study_design_scores_gemma":[0.0000471937,0.0001778531,0.001284827,0.0001819245,0.00006429455,0.0007314443,0.0002648476,0.5357656,0.006352935,0.3989297,0.05611251,0.00008677692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005982325,0.0003255471,0.9813545,0.0003025498,0.00009303033,0.0001183299,0.0003384555,0.0001177834,0.01136757],"genre_scores_gemma":[0.2010646,0.001931909,0.7833402,0.000711384,0.0004085444,0.0006604256,0.001778056,0.0003773291,0.009727557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00531029,"threshold_uncertainty_score":0.01776469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173730701773475,"score_gpt":0.2576060825338063,"score_spread":0.2258687755160716,"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."}}