{"id":"W3122146548","doi":"10.4271/2021-01-0842","title":"Multi-Material Topology Optimization Considering Draw Direction Constraints","year":2021,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Motors (Canada); Queen's University","funders":"","keywords":"Topology optimization; Topology (electrical circuits); Computer science; Mathematical optimization; Mathematics; Engineering; Structural engineering; Finite element method; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721243,0.0006651924,0.0006962366,0.0007453309,0.0003815639,0.0012943,0.0007394771,0.001075061,0.005349895],"category_scores_gemma":[0.001469422,0.0003801608,0.0004790415,0.0006083559,0.0005164394,0.001058533,0.001059232,0.0006552,0.0008390601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005330706,"about_ca_system_score_gemma":0.0006528184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015941,"about_ca_topic_score_gemma":0.00202737,"domain_scores_codex":[0.9997427,0.00007932264,0.000006483816,0.00003959082,0.0001048395,0.00002713861],"domain_scores_gemma":[0.9995849,0.0002252852,0.00004696536,0.00004318556,0.00006849143,0.00003120493],"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":[0.00003132626,0.00003029881,0.0002545298,0.00005444085,0.000009270203,0.00009927249,0.00002433287,0.9506714,0.003655068,0.01727149,0.0008155095,0.02708309],"study_design_scores_gemma":[0.000005181087,0.00003056988,0.00009639744,0.000006048253,0.000004027741,0.00002852624,0.00001458563,0.9921511,0.000968105,0.005380216,0.001310843,0.000004326191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04831138,0.0002246521,0.9234039,0.0001598961,0.00005179084,0.00004799518,0.0000808183,0.0003109369,0.02740874],"genre_scores_gemma":[0.6881301,0.0004037716,0.2936421,0.00009751463,0.00004020699,0.0001828731,0.0002035409,0.0003631494,0.01693672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005349895,"threshold_uncertainty_score":0.01789719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009735635095265562,"score_gpt":0.2311442614603832,"score_spread":0.2214086263651176,"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."}}