{"id":"W2293644487","doi":"10.1109/icmla.2015.102","title":"Population Migration Using Dominance in Multi-population Cultural Algorithms","year":2015,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Dominance (genetics); Population; Computer science; Benchmark (surveying); Evolutionary algorithm; Artificial intelligence; Algorithm; Mathematical optimization; Machine learning; Mathematics; Demography; Biology; Geography","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":[0.001709936,0.000716202,0.0006316126,0.0008566774,0.001073114,0.001547737,0.001419817,0.001087845,0.001633089],"category_scores_gemma":[0.005631261,0.0002722584,0.0006798497,0.0005850103,0.000889201,0.002007863,0.001781495,0.0009556481,0.0004229421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007006627,"about_ca_system_score_gemma":0.0008308697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398117,"about_ca_topic_score_gemma":0.001337482,"domain_scores_codex":[0.9988349,0.0005095376,0.0000635865,0.000140811,0.0003645424,0.00008652986],"domain_scores_gemma":[0.9982958,0.0007876646,0.0001624107,0.0002655894,0.0003861223,0.0001023286],"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":[0.0001178626,0.0002419092,0.003820379,0.0002485257,0.0002037168,0.0004400051,0.001078073,0.4360107,0.02553875,0.1704864,0.002551266,0.3592623],"study_design_scores_gemma":[0.00005630706,0.0001980518,0.0004472399,0.00004809726,0.00006039138,0.0003856486,0.0001291263,0.9375696,0.008664528,0.03759567,0.0148043,0.00004097008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03471723,0.0005276076,0.9549706,0.0002572324,0.0001018847,0.0001093468,0.00001858429,0.0002156425,0.00908187],"genre_scores_gemma":[0.5291635,0.0006514681,0.4616947,0.0003886636,0.0001154531,0.0003269526,0.00007428418,0.000118754,0.007466217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001709936,"threshold_uncertainty_score":0.009043097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517675912599123,"score_gpt":0.3840975725180516,"score_spread":0.2323299812581393,"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."}}