{"id":"W3019924279","doi":"10.3390/met10050563","title":"Advanced Process Simulation of Low Pressure Die Cast A356 Aluminum Automotive Wheels—Part I, Process Characterization","year":2020,"lang":"en","type":"article","venue":"Metals","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Die casting; Die (integrated circuit); Shrinkage; Heat transfer; Process (computing); Porosity; Work (physics); Automotive industry; Mechanical engineering; Aluminium; Casting; Characterization (materials science); Boiling; Materials science; Foundry; Process engineering; Engineering; Metallurgy; Computer science; Composite material; Mechanics","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":[0.0002145771,0.0003855038,0.0005157239,0.0003607049,0.0004427168,0.0006110269,0.0006508233,0.0009483158,0.003099074],"category_scores_gemma":[0.0004383505,0.0002741733,0.0005521994,0.0003208652,0.0003276786,0.0002579356,0.0002227188,0.0004121755,0.0003035187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008335091,"about_ca_system_score_gemma":0.0009821057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133111,"about_ca_topic_score_gemma":0.01488834,"domain_scores_codex":[0.9999055,0.0000141965,0.000003718626,0.00001504007,0.00003744863,0.00002413396],"domain_scores_gemma":[0.9997545,0.0001327509,0.0000257373,0.00002037208,0.0000529886,0.00001366194],"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":[0.00004974176,0.00006807814,0.001310931,0.0000387366,0.000006838916,0.00006071632,0.0000283262,0.9900564,0.00587914,0.000439344,0.00008377557,0.00197794],"study_design_scores_gemma":[0.000008161612,0.00003584349,0.000572757,0.000001580545,0.000002147469,0.000005269714,0.00001517843,0.997116,0.002011788,0.00005078452,0.000177625,0.000002879777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96598,0.00009582569,0.02441292,0.00006029965,0.00001636152,0.0001021762,0.0008252049,0.0002685651,0.008238669],"genre_scores_gemma":[0.991522,0.0000596545,0.006001997,0.000007359273,0.000002016062,0.00008583165,0.0002869329,0.00002514449,0.002009167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02133111,"threshold_uncertainty_score":0.04241389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273482316822707,"score_gpt":0.2323767835603372,"score_spread":0.2196419603921101,"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."}}