{"id":"W2411403232","doi":"10.1007/s00158-016-1495-1","title":"An evaluation of constraint aggregation strategies for wing box mass minimization","year":2016,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Constraint (computer-aided design); Mathematical optimization; Minification; Computer science; Work (physics); Function (biology); Optimal design; Mathematics; Algorithm; 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":[0.001868344,0.0008502768,0.0008521021,0.0007588196,0.0004868688,0.0009031193,0.0006345565,0.0008963669,0.002811059],"category_scores_gemma":[0.003550586,0.0002308855,0.0004802457,0.0008709614,0.0002689199,0.0007370138,0.0006260157,0.0004627921,0.0002095797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005468787,"about_ca_system_score_gemma":0.0008450231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003498432,"about_ca_topic_score_gemma":0.004662677,"domain_scores_codex":[0.9995491,0.0002077751,0.0000203881,0.00003220489,0.0001434825,0.00004703594],"domain_scores_gemma":[0.998551,0.0009529824,0.00007939304,0.00008455731,0.0002803102,0.00005173866],"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":[0.000315796,0.0002509894,0.0009865215,0.0001939372,0.0001004969,0.00006001777,0.00005945129,0.878635,0.00319021,0.009706107,0.0009726608,0.1055287],"study_design_scores_gemma":[0.00001663745,0.0001340841,0.0002492312,0.00001352167,0.00001813622,0.0000100166,0.00002111458,0.9973659,0.0009645008,0.0008358262,0.0003674958,0.000003604021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3142705,0.002400948,0.6471775,0.0004195816,0.000161668,0.0004239768,0.0002447328,0.0003052242,0.03459597],"genre_scores_gemma":[0.8220858,0.0005896891,0.1742221,0.00009056155,0.00003546668,0.0001683162,0.0001292398,0.0001015526,0.002577183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003498432,"threshold_uncertainty_score":0.009880841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504027369504021,"score_gpt":0.3142377028888736,"score_spread":0.2891974291938334,"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."}}