{"id":"W4319589234","doi":"10.1115/imece2022-95195","title":"Uncertainty Quantification in Material Properties of Additively Manufactured Materials for Application in Topology Optimization","year":2022,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Randomness; Materials science; Digital image correlation; Modulus; Elastic modulus; Material properties; Fusion; Random field; Young's modulus; Composite material; Algorithm; Computer science; Mathematics; Statistics","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":[0.001945709,0.0007833843,0.0005829041,0.001790966,0.0002612434,0.0009302536,0.0004962715,0.0006228924,0.0004107468],"category_scores_gemma":[0.006805878,0.0002824135,0.0005629041,0.0008017076,0.0004779133,0.0009478642,0.0004723622,0.0004657384,0.0000995493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006371633,"about_ca_system_score_gemma":0.0003533179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128857,"about_ca_topic_score_gemma":0.00112901,"domain_scores_codex":[0.9989601,0.0002823788,0.00005273213,0.000157315,0.0005071729,0.00004017074],"domain_scores_gemma":[0.9959906,0.00269733,0.0005118038,0.0003628372,0.0003949499,0.00004253885],"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":[0.00007133558,0.00004258439,0.00515419,0.00008262991,0.00007528592,0.00007699032,0.00003769733,0.9112101,0.02404507,0.002603393,0.0001630866,0.05643762],"study_design_scores_gemma":[0.000001377924,0.00002292835,0.002009311,0.000006180535,0.000007307007,0.00002911838,0.000006563015,0.9863089,0.009998107,0.001425589,0.0001740996,0.00001050361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2682431,0.0005272669,0.728995,0.000118116,0.00001938243,0.00003048226,0.000182301,0.0005381468,0.001346064],"genre_scores_gemma":[0.9413286,0.0001031306,0.05813354,0.00001296261,0.000008978018,0.00002379783,0.000157723,0.00004035828,0.0001909284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001945709,"threshold_uncertainty_score":0.01028997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910220828133496,"score_gpt":0.2235203581337436,"score_spread":0.2044181498524087,"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."}}