{"id":"W2546973305","doi":"10.14778/3007263.3007267","title":"GraphJet","year":2016,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Graph; Exploit; Theoretical computer science; Clique-width; Line graph; Voltage 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":[0.0006136853,0.001430846,0.000811318,0.00156863,0.001038474,0.003097087,0.003090845,0.001505439,0.1186349],"category_scores_gemma":[0.00330999,0.0009548031,0.001202151,0.00146956,0.0004184545,0.004579512,0.003702722,0.001879193,0.0964596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008633647,"about_ca_system_score_gemma":0.001317261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005194614,"about_ca_topic_score_gemma":0.009669951,"domain_scores_codex":[0.9991724,0.00009135281,0.00006563095,0.0002348515,0.0003399336,0.0000958396],"domain_scores_gemma":[0.9987173,0.0002106841,0.00005881018,0.0005993309,0.0002834186,0.0001303694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005328859,0.0001366515,0.001371157,0.0008308185,0.0001169822,0.0003744423,0.0002400972,0.004078311,0.009014096,0.03482161,0.6133787,0.3351042],"study_design_scores_gemma":[0.00009968495,0.0000859111,0.0005865994,0.00007071216,0.00003815639,0.000366856,0.00007292995,0.03492459,0.008412727,0.02277954,0.9324914,0.00007088906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.006090757,0.00173361,0.2947027,0.001929679,0.001744519,0.0007078323,0.03283552,0.5331148,0.1271406],"genre_scores_gemma":[0.07931865,0.003195814,0.3292057,0.003593829,0.0006156454,0.0009408201,0.2010683,0.08228715,0.2997741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1186349,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006945037593673362,"score_gpt":0.1942015750778655,"score_spread":0.1872565374841921,"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."}}