{"id":"W2921280920","doi":"10.1016/j.dam.2019.02.026","title":"Preface: Tenth International Colloquium on Graphs and Optimization (GO X), 2016","year":2019,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Combinatorics; Discrete 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001912119,0.002380199,0.001831539,0.00399869,0.001843362,0.004870044,0.001470433,0.001770198,0.1402796],"category_scores_gemma":[0.007461442,0.0004846139,0.001226007,0.003173309,0.0008071809,0.003019096,0.003232199,0.004023902,0.07699511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003501811,"about_ca_system_score_gemma":0.002313868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022751,"about_ca_topic_score_gemma":0.00582634,"domain_scores_codex":[0.9988208,0.0002263915,0.00008122686,0.0002881281,0.0004562249,0.0001271895],"domain_scores_gemma":[0.9955294,0.0007141439,0.0002248294,0.0004057395,0.002041041,0.001085059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004008115,0.00002048893,0.00008829033,0.000174349,0.000008141753,0.00002178927,0.00001717363,0.0003511635,0.0001313565,0.002656585,0.9672442,0.02924635],"study_design_scores_gemma":[0.00002063051,0.0000781569,0.001033264,0.0005489847,0.0000213338,0.00007934909,0.00007192067,0.001007277,0.0002970302,0.01135001,0.9854684,0.00002361326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001015297,0.05342608,0.00993562,0.03864925,0.8284637,0.0001244794,0.002768482,0.0005130001,0.06510423],"genre_scores_gemma":[0.01684861,0.04907533,0.004891424,0.008439296,0.3227687,0.0002367201,0.005387062,0.001845287,0.5905076],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1402796,"threshold_uncertainty_score":0.469282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006231262015789569,"score_gpt":0.2145865321000022,"score_spread":0.2083552700842126,"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."}}