{"id":"W4406127213","doi":"10.18280/jesa.570614","title":"Structural Design Optimization for Unmanned Aircraft Propeller Blades Using the Multi-Objective Colonial Competitive Algorithm","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qassim University","keywords":"Propeller; Optimization algorithm; Colonialism; Computer science; Engineering; Aerospace engineering; Marine engineering; Mathematical optimization; Mathematics; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041538,0.0003441576,0.0003225816,0.0002746885,0.0005249171,0.0004926582,0.0002821792,0.0001401149,0.0001028075],"category_scores_gemma":[0.0001301426,0.000261204,0.0001473172,0.0004438829,0.0001856283,0.0005546267,0.00004589994,0.0004493352,0.00001266931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004945028,"about_ca_system_score_gemma":0.0001117629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006106279,"about_ca_topic_score_gemma":0.000003036637,"domain_scores_codex":[0.998299,0.0002105648,0.0005449054,0.0002470697,0.0002376144,0.0004608304],"domain_scores_gemma":[0.9990401,0.0003476091,0.0001027895,0.0001589853,0.0002447763,0.0001057643],"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":[0.00001054649,0.000007495029,0.00001512894,0.0001402588,0.0003017329,0.00003929836,0.001656628,0.9842526,0.0003637511,0.0003548125,0.0002685041,0.01258923],"study_design_scores_gemma":[0.0005022289,0.00009518809,0.0009483241,0.0003106606,0.0001222405,0.001013399,0.00025068,0.9954294,0.0005561475,0.0002533301,0.0002075364,0.0003108732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004980481,0.001896893,0.9888324,0.00008327662,0.00234271,0.0008320964,0.00004579992,0.000904528,0.00008182722],"genre_scores_gemma":[0.2319028,0.0001258708,0.7669741,0.00002188418,0.0005606284,0.00005312106,0.00001016077,0.0001796606,0.0001718484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2269223,"threshold_uncertainty_score":0.999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373826538616965,"score_gpt":0.261892332830144,"score_spread":0.2381540674439744,"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."}}