{"id":"W2114499446","doi":"10.1109/sis.2005.1501613","title":"Information exchange in multiple cooperating swarms","year":2005,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information exchange; Computer science; Information sharing; Particle swarm optimization; Information quality; Best practice; Order (exchange); Distributed computing; Quality (philosophy); Information system; Algorithm; Engineering; World Wide Web","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":[0.0004592026,0.00005927138,0.00007132607,0.000207151,0.00005497368,0.0002090453,0.0003768812,0.0000292439,0.0002755836],"category_scores_gemma":[0.0003504417,0.00005171338,0.00001228993,0.000533364,0.00001183192,0.001858455,0.0001712324,0.00009058134,0.0006029382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004846397,"about_ca_system_score_gemma":0.00004413064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005059873,"about_ca_topic_score_gemma":0.00005341377,"domain_scores_codex":[0.9991574,0.00004853246,0.0002369445,0.00009480533,0.0002688688,0.0001934167],"domain_scores_gemma":[0.999472,0.00008583452,0.0000324605,0.0002350418,0.0001138682,0.00006085627],"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":[0.000003019975,0.00007319621,0.001675851,0.00001951704,0.000003626315,0.000002540643,0.003465696,0.05832201,0.00007027596,0.01224256,0.003172937,0.9209487],"study_design_scores_gemma":[0.0003626623,0.00001087235,0.0008461022,0.000003224512,1.560854e-7,0.000002317336,0.00003401583,0.9841698,0.000590982,0.00001921094,0.01389359,0.00006708074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002094409,0.00001916544,0.9825714,0.001399121,0.00006789234,0.0001640661,6.412405e-7,0.00010064,0.01358271],"genre_scores_gemma":[0.319688,0.00001770475,0.6782406,0.0008352581,0.00005002974,0.00002821078,0.000006493987,0.000003415334,0.00113035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9258478,"threshold_uncertainty_score":0.7749752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754064860515005,"score_gpt":0.2737121685243097,"score_spread":0.2461715199191597,"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."}}