{"id":"W4400680796","doi":"10.1109/cefc61729.2024.10586063","title":"Mesh Error Estimation Using Graph Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial neural network; Estimation; Graph; Theoretical computer science; Artificial intelligence; Algorithm; 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":[0.0001087104,0.00007889394,0.00007817774,0.0001055789,0.00004238163,0.0001098187,0.00002553707,0.00009201173,0.0000806189],"category_scores_gemma":[0.000005141686,0.00006661587,0.00005566352,0.0002960983,0.00000497255,0.0001631784,0.000006086261,0.0001278644,0.00002881935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003583432,"about_ca_system_score_gemma":0.000003706594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004668182,"about_ca_topic_score_gemma":0.000004656484,"domain_scores_codex":[0.9995498,0.00001260611,0.000146597,0.00009110028,0.00007985998,0.0001200168],"domain_scores_gemma":[0.9998515,0.00002277559,0.000006493105,0.00007621967,0.0000110858,0.0000319116],"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":[0.000001507108,8.83237e-7,0.000007006692,0.00002003371,0.00001256689,0.000004564076,0.00002518334,0.9642783,0.0006141358,0.0002218731,0.001738859,0.03307511],"study_design_scores_gemma":[0.00005046179,0.00001133416,0.00002150309,0.00003251824,0.000009722407,0.00002400494,0.0000177019,0.9981954,0.0006089045,0.00005982654,0.0008867143,0.00008191309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.20025,0.0004112943,0.7910111,0.000009925038,0.004262254,0.0001238691,0.000001009762,0.001108723,0.002821802],"genre_scores_gemma":[0.9990699,0.000002475659,0.0004143062,0.000008943493,0.0003472505,0.000004107665,0.000002390742,0.00002051413,0.0001301669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7988198,"threshold_uncertainty_score":0.2716516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162838175913973,"score_gpt":0.2689607012784612,"score_spread":0.2373323195193214,"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."}}