{"id":"W4404416786","doi":"10.1007/s11740-024-01317-8","title":"Optimal vacuum port placement in vacuum-assisted composite manufacturing for leakage detection and localization: a hierarchical optimization approach","year":2024,"lang":"en","type":"article","venue":"Production Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leakage (economics); Composite number; Port (circuit theory); Computer science; Mechanical engineering; Materials science; Manufacturing engineering; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002193532,0.0002235883,0.0001767404,0.0004306023,0.00008130651,0.0001007591,0.00007258717,0.0001183492,0.000004870914],"category_scores_gemma":[0.00003305019,0.0002417204,0.00004172831,0.000230115,0.00002441354,0.0002246893,0.0000470674,0.0003002549,9.90437e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001610995,"about_ca_system_score_gemma":0.000006380382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001983044,"about_ca_topic_score_gemma":6.541995e-7,"domain_scores_codex":[0.9989378,0.0000105548,0.0002672809,0.0004015621,0.0001146862,0.0002680616],"domain_scores_gemma":[0.9997275,0.00003922485,0.00001959218,0.0001536841,0.0000196199,0.00004041348],"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":[0.00001198594,0.00001434985,0.00001529931,0.0006291329,0.00004133508,0.000002906524,0.0001558933,0.9856697,0.005033198,0.0000587451,0.00002930293,0.008338105],"study_design_scores_gemma":[0.0001525731,0.00002368652,0.0006385475,0.0001076361,0.00001901007,0.00005305211,0.00005464971,0.8698374,0.1278504,0.00002101073,0.001013626,0.0002284807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1865531,0.0003245211,0.8102395,0.00006222016,0.0005670021,0.0003625585,0.000004631148,0.001835281,0.00005120987],"genre_scores_gemma":[0.9194262,0.00008108949,0.07993934,0.000002664903,0.0001919165,0.000193065,0.000051379,0.00006238584,0.00005195874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7328731,"threshold_uncertainty_score":0.9857072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085535397228571,"score_gpt":0.2074314542444663,"score_spread":0.1965761002721806,"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."}}