{"id":"W4310150506","doi":"10.1016/j.engappai.2022.105521","title":"A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction","year":2022,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Benchmarking; Benchmark (surveying); Computer science; Metaheuristic; Heuristics; Field (mathematics); Industrial engineering; Algorithm; Data mining; Management science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002761095,0.0001259022,0.0003265496,0.000464752,0.0002787278,0.00002712543,0.0004795677,0.00001982354,0.000006551498],"category_scores_gemma":[0.000841527,0.0001341555,0.00003510974,0.002091593,0.00004261355,0.0001390659,0.0003765776,0.0002358065,0.000006262876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337293,"about_ca_system_score_gemma":0.00006211478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001415643,"about_ca_topic_score_gemma":5.782682e-7,"domain_scores_codex":[0.9977734,0.0003357961,0.0008319524,0.0003838305,0.0005078093,0.0001672092],"domain_scores_gemma":[0.9972504,0.001056991,0.0003134599,0.0005094571,0.0007946239,0.00007500368],"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":[0.00001164898,0.0003468469,6.522882e-7,0.0265531,0.00004188354,2.409031e-7,0.007492228,0.7162124,0.01043517,0.1849531,0.00008428207,0.0538685],"study_design_scores_gemma":[0.00004001123,0.0001197773,0.000005836631,0.01081289,0.00005110233,0.000004565947,0.0016721,0.9459805,0.03039077,0.01022192,0.0003834744,0.0003169825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001643143,0.003310442,0.9935811,0.0003241477,0.0000741555,0.002589178,0.000009712828,0.00007918241,0.00001566614],"genre_scores_gemma":[0.05876641,0.001393171,0.9363921,0.00002008787,0.0000165364,0.003373359,0.000009643411,0.00001803563,0.00001069592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2297682,"threshold_uncertainty_score":0.5470701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018654061451459,"score_gpt":0.4099597841997928,"score_spread":0.308094378054647,"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."}}