{"id":"W4249396061","doi":"10.3233/fi-2009-156","title":"Swarm Intelligence","year":2009,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Arthritis Network; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Swarm behaviour; Swarm intelligence; Computer science; Artificial intelligence; Machine learning; Particle swarm optimization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001170439,0.001157677,0.001217272,0.002065142,0.0008567411,0.004818914,0.001383805,0.001818944,0.05724274],"category_scores_gemma":[0.003984251,0.0004012023,0.0007866413,0.002574284,0.001081209,0.003478126,0.001850119,0.001492918,0.01811987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009694466,"about_ca_system_score_gemma":0.001254859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007286064,"about_ca_topic_score_gemma":0.0007109732,"domain_scores_codex":[0.9985563,0.0003473601,0.0001538035,0.0002230169,0.0006526486,0.00006687922],"domain_scores_gemma":[0.9986797,0.0005375216,0.00009725122,0.0002768018,0.0003269358,0.00008180671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005266106,0.00003954391,0.0005209546,0.001327624,0.0001149518,0.0001777954,0.000293759,0.006277374,0.00123222,0.1618166,0.3402381,0.4879083],"study_design_scores_gemma":[0.000009212983,0.0000276197,0.0002723958,0.0002619652,0.00001520851,0.0002366647,0.00008412691,0.002687179,0.0003385405,0.05427253,0.9417754,0.00001924494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005112168,0.17419,0.2062113,0.0225906,0.02712536,0.0004106181,0.003883515,0.003570894,0.5569056],"genre_scores_gemma":[0.1352272,0.1975005,0.1461768,0.00653667,0.01714023,0.0008454663,0.01218885,0.001416874,0.4829674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05724274,"threshold_uncertainty_score":0.1914961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349837988432514,"score_gpt":0.2480180889297211,"score_spread":0.234519709045396,"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."}}