{"id":"W3146552081","doi":"10.2495/op070091","title":"Genetic algorithms and finite element coupling for mechanical optimization","year":2007,"lang":"en","type":"article","venue":"WIT transactions on the built environment","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Finite element method; Genetic algorithm; Computer science; Software; Mechanical engineering; Mathematical optimization; Engineering; Structural engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248041,0.001423712,0.001097288,0.001078327,0.0005043825,0.001045344,0.001049185,0.001703523,0.004284077],"category_scores_gemma":[0.003386482,0.000585691,0.0008650969,0.001410961,0.001286614,0.0007218224,0.001009236,0.001889491,0.00123955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010401,"about_ca_system_score_gemma":0.001016851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753397,"about_ca_topic_score_gemma":0.003713597,"domain_scores_codex":[0.9992392,0.0003986419,0.00003168628,0.00006389186,0.000233483,0.00003310732],"domain_scores_gemma":[0.998668,0.001035123,0.00007086472,0.0000804983,0.0001225038,0.00002309925],"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":[0.00001695851,0.00002612976,0.0001690404,0.00007098099,0.00004632311,0.00003217791,0.00003926059,0.9178007,0.0006815576,0.0464724,0.0008808998,0.03376364],"study_design_scores_gemma":[0.000007941916,0.00001106103,0.00003556633,0.00001133495,0.000005202911,0.00001033707,0.000006537317,0.976238,0.0002348686,0.02084332,0.002590455,0.000005438847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001101273,0.0004363975,0.9951154,0.000124914,0.00004904984,0.00002712675,0.0000143747,0.0002107386,0.002920713],"genre_scores_gemma":[0.1661076,0.001726918,0.8211225,0.000226323,0.0001850763,0.0007408321,0.000173076,0.0003509983,0.009366554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004753397,"threshold_uncertainty_score":0.0143317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405198399284761,"score_gpt":0.2023007276098163,"score_spread":0.1882487436169687,"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."}}