{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001270792,0.0001117197,0.0001149063,0.00005739829,0.00007183212,0.00002657684,0.001375176,0.00002789134,0.000005593214],"category_scores_gemma":[0.00004104294,0.00005280023,0.0001070718,0.0004153,0.00008620361,0.0004296556,0.0005368768,0.00006220458,0.000009251295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751165,"about_ca_system_score_gemma":0.000007783081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002165058,"about_ca_topic_score_gemma":4.576678e-7,"domain_scores_codex":[0.9990023,0.000003686069,0.0001844942,0.0002588848,0.0003002628,0.0002503177],"domain_scores_gemma":[0.9994096,0.00004418859,0.0001711645,0.0002176061,0.0001020161,0.00005547066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001332902,0.0000679858,0.008830296,0.0000215225,0.00003033988,5.88333e-7,0.0001888085,0.000007053108,0.2449301,0.6714856,0.008027935,0.06639641],"study_design_scores_gemma":[0.0008428018,0.000148359,0.008774417,0.0002095142,0.00001223295,0.00002730149,0.00002031485,0.0002668115,0.6893929,0.2864514,0.01356909,0.0002848869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7553497,0.00109715,0.1230906,0.06280648,0.004206116,0.002636927,0.00001438138,0.001310947,0.04948776],"genre_scores_gemma":[0.9898244,0.00006108803,0.00931329,0.0002652331,0.00004214833,0.00002559076,2.24152e-8,0.000007289595,0.0004609141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4444628,"threshold_uncertainty_score":0.2555442,"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."}}