{"id":"W2012377985","doi":"10.5430/air.v1n2p99","title":"A hybrid agent based virtual organization for studying knowledge evolution in social systems","year":2012,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Macro; Evolutionary algorithm; Artificial intelligence; Process (computing); Social system; Genetic algorithm; Multi-agent system; Cultural algorithm; Swarm intelligence; Machine learning; Particle swarm optimization; Meta-optimization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009524825,0.0005127718,0.0006139767,0.001308765,0.0009531712,0.002141132,0.001349206,0.0009663154,0.001972785],"category_scores_gemma":[0.002168452,0.000257403,0.0009734242,0.0009102325,0.00137415,0.001767049,0.00172704,0.0007995668,0.0002137143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256569,"about_ca_system_score_gemma":0.0009722455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002911756,"about_ca_topic_score_gemma":0.001714625,"domain_scores_codex":[0.999252,0.0004516661,0.00002700718,0.0001078293,0.000109653,0.00005166588],"domain_scores_gemma":[0.9990225,0.0005455606,0.0001156339,0.0001422057,0.00007077396,0.0001034159],"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":[0.00007534887,0.0001500834,0.002924039,0.0001351125,0.0002255271,0.0003357124,0.0005654575,0.5872219,0.004151685,0.3711779,0.000839375,0.03219792],"study_design_scores_gemma":[0.00002179296,0.00005845016,0.0003984014,0.00001735661,0.00002361611,0.00005596422,0.0001084257,0.9410686,0.0004542547,0.05415289,0.00362573,0.00001463097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06051672,0.0006649981,0.9251231,0.0004447693,0.00009033891,0.0002315934,0.000117585,0.0001528874,0.01265808],"genre_scores_gemma":[0.6311559,0.0005504038,0.3623784,0.0001057768,0.000051424,0.0006665587,0.0001250132,0.00003734855,0.004929226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002911756,"threshold_uncertainty_score":0.009117126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2515909848228119,"score_gpt":0.4318724132390408,"score_spread":0.1802814284162289,"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."}}