{"id":"W4206508642","doi":"10.1007/978-981-16-6054-2_11","title":"Graph Neural Networks: Graph Generation","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Graph; Theoretical computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0001656346,0.0006105879,0.0004608899,0.000430592,0.0004362589,0.0002059056,0.001695153,0.0002917021,0.0008731014],"category_scores_gemma":[0.000004923627,0.0005966005,0.0004603042,0.0003201495,0.0001048186,0.0007608001,0.0008919191,0.001100818,0.00002767332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006662569,"about_ca_system_score_gemma":0.00002925157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108316,"about_ca_topic_score_gemma":0.00004956103,"domain_scores_codex":[0.9969954,0.00005567047,0.0005403064,0.001202334,0.0006563104,0.0005500025],"domain_scores_gemma":[0.9978477,0.0001023059,0.0003447194,0.001420132,0.000092221,0.0001928899],"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":[0.00000342329,0.000008035818,0.000003409564,0.00000334588,0.00003651427,0.00007859799,0.0000126764,0.08371297,0.000006761645,0.8668936,0.01903595,0.03020471],"study_design_scores_gemma":[0.0002625695,0.0002143201,0.00000815009,0.00001484412,0.00003439471,0.00009969759,0.000001238937,0.581481,0.000008919917,0.163184,0.2535581,0.001132748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000005767824,0.002185035,0.7234738,0.0004633396,0.003618528,0.0004666837,0.000007218513,0.0008231152,0.2689565],"genre_scores_gemma":[0.01499845,0.005112424,0.06213197,0.01310252,0.004576459,0.0002598697,0.0007283285,0.0004666002,0.8986234],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7037096,"threshold_uncertainty_score":0.9996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512400181365801,"score_gpt":0.2279135309878051,"score_spread":0.2027895291741471,"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."}}