{"id":"W4392928725","doi":"10.14733/cadaps.2024.878-903","title":"A Component-Based Approach to Automated Flexible Material Handling: Interactive Compliant Gripper Design Relative to Mold Surfaces","year":2024,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Component (thermodynamics); Mold; Computer science; Engineering drawing; Mechanical engineering; Engineering; Materials science; Composite material","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":[0.0003633196,0.0007152638,0.0005683296,0.0006417438,0.0005231118,0.001110572,0.00132021,0.0008985839,0.005737494],"category_scores_gemma":[0.0007758744,0.0005513587,0.0008178743,0.0004403319,0.0007272124,0.0006569148,0.001185894,0.0006326097,0.0009079492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934134,"about_ca_system_score_gemma":0.0005676454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00142231,"about_ca_topic_score_gemma":0.002126069,"domain_scores_codex":[0.9997012,0.00005353923,0.00001304395,0.00005984011,0.0001504237,0.00002201852],"domain_scores_gemma":[0.9997992,0.00008580931,0.00001745586,0.00005001563,0.00003639179,0.00001128109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001398044,0.00009501934,0.0003744729,0.000238332,0.00005151741,0.0003613252,0.0005056947,0.585097,0.09834307,0.05890344,0.001550249,0.2543401],"study_design_scores_gemma":[0.00001673423,0.0001297681,0.0001877624,0.00001914772,0.00001809555,0.0001251085,0.00003938859,0.9725761,0.01086517,0.008160607,0.007841085,0.00002094559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006107123,0.00005424274,0.9893249,0.00002588962,0.00001418874,0.00004859835,0.00001126547,0.0005338491,0.003879962],"genre_scores_gemma":[0.2578396,0.0002239109,0.7346608,0.00004209999,0.00001732975,0.0001337543,0.00006350443,0.0003082216,0.006710806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005737494,"threshold_uncertainty_score":0.01919377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589115302849792,"score_gpt":0.2923325402855601,"score_spread":0.2464413872570622,"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."}}