{"id":"W4206869873","doi":"","title":"A semidefiinite programming relaxation for Vertex Separator Problem","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Separator (oil production); Computer science; Vertex (graph theory); Relaxation (psychology); Mathematical optimization; Mathematics; Theoretical computer science; Physics; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01393353,0.0006524126,0.0006878694,0.0003188153,0.001035349,0.002238732,0.002661868,0.0006237534,0.0001146662],"category_scores_gemma":[0.003327386,0.000735057,0.000459878,0.0009725959,0.0003894796,0.0007306617,0.001900623,0.0009324911,0.0002222309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031783,"about_ca_system_score_gemma":0.0009509999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000629923,"about_ca_topic_score_gemma":0.0007630515,"domain_scores_codex":[0.9872447,0.007920534,0.001239011,0.001755501,0.0008410217,0.0009992587],"domain_scores_gemma":[0.985032,0.003232945,0.001278661,0.002934855,0.006994499,0.0005271006],"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":[0.00001810171,0.00064928,0.0003961054,0.0006421445,0.0001048074,0.000002173201,0.01276983,0.003511654,0.0004599174,0.7586175,0.003714985,0.2191135],"study_design_scores_gemma":[0.001012314,0.000002996443,0.0003132931,0.00267278,0.00005245036,0.00001531607,0.00004694354,0.645454,0.003060454,0.01710087,0.329583,0.0006855523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001555522,0.000812754,0.9357113,0.02957499,0.0006252486,0.002664204,0.00005390594,0.000528162,0.02847388],"genre_scores_gemma":[0.07589965,0.0006124508,0.866092,0.0004030865,0.00007283595,0.001069414,0.0009181534,0.0001142065,0.05481824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7415166,"threshold_uncertainty_score":0.99951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454861409559402,"score_gpt":0.2585117703922431,"score_spread":0.2339631562966491,"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."}}