{"id":"W4400660327","doi":"10.53893/austenit.v16i1.7572","title":"OPTIMALISASI DESIGN SAMBUNGAN ALUMINIUM EXTRUSION 2020 MENGGUNAKAN METODE FINITE ELEMENT ANALYSIS (FEA)","year":2024,"lang":"id","type":"article","venue":"Austenit.","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Finite element method; Aluminium; Extrusion; Structural engineering; Engineering; Materials science; Metallurgy","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":[0.0006713604,0.0008456201,0.0006266808,0.000706622,0.0004583507,0.001337027,0.0006689201,0.001088186,0.006534109],"category_scores_gemma":[0.0006839748,0.000544942,0.0008070932,0.0003627987,0.0003535166,0.0007168028,0.0005518931,0.0004504669,0.001825851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004757788,"about_ca_system_score_gemma":0.00101998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375569,"about_ca_topic_score_gemma":0.002611448,"domain_scores_codex":[0.9995308,0.00005767388,0.00002098958,0.00006262519,0.0002749591,0.00005294775],"domain_scores_gemma":[0.9997745,0.00005685958,0.00002820832,0.00002358384,0.0001042282,0.00001248063],"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":[0.0004404562,0.0001959503,0.004381882,0.0008383202,0.00007309229,0.000398241,0.0002915637,0.6746615,0.1405159,0.009201664,0.00397341,0.165028],"study_design_scores_gemma":[0.00004816373,0.0006247299,0.003685369,0.0001091932,0.00008869833,0.0002895637,0.0003404522,0.9041612,0.05693493,0.003652005,0.03000632,0.0000594118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1525902,0.001064891,0.7880148,0.0003127726,0.0001339373,0.0002332116,0.0005011351,0.001412799,0.05573614],"genre_scores_gemma":[0.7459382,0.00103009,0.2297171,0.00008773461,0.00002716982,0.0004064756,0.0008317124,0.0003271535,0.02163429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006534109,"threshold_uncertainty_score":0.02185875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508847598573909,"score_gpt":0.255890251249623,"score_spread":0.2308017752638839,"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."}}