{"id":"W7062607775","doi":"","title":"Training and Evaluating Graph Generative Models","year":2023,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Generative grammar; Metric (unit); Graph; Generative model; Simple (philosophy); Overhead (engineering)","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":[0.0002908618,0.0001776098,0.0002973647,0.0001871051,0.0002038179,0.00001166809,0.0003004684,0.0001525305,0.00005746763],"category_scores_gemma":[0.000008164144,0.0001739134,0.0001531395,0.0003242668,0.00005322179,0.00012573,0.00002656618,0.0002718446,0.00001097788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002447671,"about_ca_system_score_gemma":0.00002762849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244452,"about_ca_topic_score_gemma":0.0002662795,"domain_scores_codex":[0.9992137,0.00006016345,0.0001300243,0.0001857439,0.0002474988,0.000162853],"domain_scores_gemma":[0.9995038,0.00008204303,0.00008660377,0.0002080685,0.00007096698,0.00004851524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001522243,0.00001846071,0.00001123331,0.0007085839,0.001434209,0.00002718043,0.1458867,0.3040691,0.4463668,0.0007473549,0.001091596,0.09948653],"study_design_scores_gemma":[0.0009519202,0.0001243538,0.01272856,0.0005755363,0.001964523,0.000004728908,0.09229073,0.8735216,0.00142641,0.01503155,0.0004816126,0.0008984994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801456,0.002126993,0.008775975,0.0001089315,0.0004093099,0.0002389297,0.00004013874,0.0003112209,0.007842921],"genre_scores_gemma":[0.995178,0.0008921226,0.001091814,0.000005659913,0.00003895386,3.671424e-7,0.0001489564,0.00004074515,0.002603336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5694525,"threshold_uncertainty_score":0.7091981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159504943013603,"score_gpt":0.2541202575716057,"score_spread":0.2125252081414696,"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."}}