{"id":"W2039272346","doi":"10.1177/0954406214522206","title":"On a hybrid particle swarm optimization method and its application in mechanism design","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Shantou University","keywords":"Particle swarm optimization; Linkage (software); Four-bar linkage; Mechanism (biology); Multi-swarm optimization; Bar (unit); Optimal design; Function (biology); Process (computing); Computer science; Mathematical optimization; Mathematics; Algorithm; Physics; Artificial intelligence; Motion (physics); Chemistry","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":[0.003236186,0.0002274209,0.0004519407,0.0002944659,0.00006132858,0.00002820859,0.0006266608,0.0001161777,0.000003007931],"category_scores_gemma":[0.001800536,0.0001837733,0.0001062162,0.0008468783,0.00005553125,0.0004269441,0.00009374019,0.0004022416,7.177592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420068,"about_ca_system_score_gemma":0.00006079631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001207853,"about_ca_topic_score_gemma":1.239542e-7,"domain_scores_codex":[0.9977981,0.00001740661,0.0008632856,0.0002456498,0.0007393157,0.0003362461],"domain_scores_gemma":[0.9988133,0.0001964447,0.0003003333,0.0001476255,0.0003367742,0.0002054795],"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":[0.00001705178,0.00002758743,2.300526e-7,0.00005677426,0.000007649689,2.5465e-7,0.00001774622,0.554589,0.1271378,0.3177175,0.000001824036,0.0004265505],"study_design_scores_gemma":[0.000370554,0.0001801498,0.000002974295,0.0002059066,0.00002248961,0.00003152277,0.000009794925,0.6321021,0.3600229,0.006935738,0.000005506614,0.000110357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06332196,0.00003785724,0.9356694,0.00009916247,0.000522031,0.0002742189,0.000001928518,0.00004684573,0.00002663913],"genre_scores_gemma":[0.8292314,0.00005593334,0.1706214,0.00001899272,0.00003961724,0.00001058661,1.691796e-7,0.0000200936,0.000001752026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7659095,"threshold_uncertainty_score":0.7494059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131067019296955,"score_gpt":0.2232945047924895,"score_spread":0.2119838345995199,"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."}}