{"id":"W2278772721","doi":"10.4271/2007-01-0423","title":"Damage-Based Finite Element Simulation of Void Nucleation in Al-Mg Alloy Sheet","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nucleation; Finite element method; Void (composites); Alloy; Materials science; Metallurgy; Composite material; Structural engineering; Thermodynamics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000271377,0.0002941604,0.0004312817,0.0003830228,0.0003798233,0.000315804,0.0007689972,0.0009893323,0.001825255],"category_scores_gemma":[0.0007849138,0.0002900743,0.000337753,0.0003253195,0.0005000992,0.0002606003,0.0003069704,0.0003148876,0.0001759874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00078016,"about_ca_system_score_gemma":0.0004877848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286945,"about_ca_topic_score_gemma":0.01011238,"domain_scores_codex":[0.9999145,0.00001874052,0.000004879646,0.00001105529,0.00003138566,0.00001943376],"domain_scores_gemma":[0.9996019,0.0002274132,0.00004194606,0.00003146964,0.00005725675,0.00004003873],"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":[0.00004267864,0.00002957563,0.001194945,0.0000209078,0.000007835005,0.00007925665,0.00005963904,0.9930401,0.003345392,0.0007383021,0.0001231575,0.001318154],"study_design_scores_gemma":[0.00000347108,0.00001159811,0.0002724441,0.000002109722,0.000001324862,0.000006390957,0.00001185499,0.9988604,0.0006767265,0.00007677489,0.0000747033,0.000002171981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966377,0.0001205472,0.02262511,0.000140951,0.00002445257,0.0000508446,0.0003214054,0.0002800387,0.01005968],"genre_scores_gemma":[0.9933908,0.00004060229,0.005038423,0.00002104042,0.000002500844,0.00002728221,0.0001127651,0.00002425611,0.001342285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286945,"threshold_uncertainty_score":0.02558905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323475192521572,"score_gpt":0.266842924703967,"score_spread":0.2536081727787513,"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."}}