{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004175384,0.001846295,0.001054082,0.001523957,0.0005302641,0.00210462,0.002165197,0.002435589,0.003619872],"category_scores_gemma":[0.01829967,0.0007743993,0.001151899,0.0009196438,0.001130106,0.003228758,0.001511091,0.002606504,0.001077154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00283293,"about_ca_system_score_gemma":0.0009400742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00674247,"about_ca_topic_score_gemma":0.01098814,"domain_scores_codex":[0.9978997,0.001008348,0.00007561431,0.000543811,0.0003595555,0.0001128794],"domain_scores_gemma":[0.9915463,0.00655508,0.0003374436,0.0008247431,0.0005096255,0.0002267692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007966014,0.00007851463,0.002053011,0.0001175489,0.00008238375,0.00004768087,0.00005179655,0.9172623,0.001123346,0.007124411,0.00289123,0.06908824],"study_design_scores_gemma":[0.000005037294,0.00003006792,0.0002073976,0.00001576343,0.000007985454,0.00001566341,0.00001092757,0.9930865,0.0008900373,0.005200694,0.0005239054,0.000005847601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1576191,0.002726594,0.8190816,0.001728414,0.0003376596,0.0003435663,0.001400564,0.005288395,0.01147415],"genre_scores_gemma":[0.7179009,0.0009801887,0.2698843,0.0006896345,0.0001328788,0.000327354,0.004488389,0.0008776268,0.004718609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00674247,"threshold_uncertainty_score":0.02208179,"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."}}