{"id":"W2102391083","doi":"10.1109/tsmcb.2005.856724","title":"Analysis of a master-slave architecture for distributed evolutionary computations","year":2006,"lang":"en","type":"letter","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Workstation; Computation; Architecture; Computer science; Mainstream; Distributed computing; Beagle; Master/slave; Parallel computing; Programming language; Operating system; Geography; Archaeology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002041094,0.0006781215,0.001075842,0.0009690161,0.0004396443,0.0002396893,0.0008773222,0.0007552042,0.0000202835],"category_scores_gemma":[0.000004192219,0.0006387115,0.00067056,0.001501282,0.0003248735,0.0001143158,0.00001940377,0.0009587614,0.00002136725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558669,"about_ca_system_score_gemma":0.0001475878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002835331,"about_ca_topic_score_gemma":0.00009725126,"domain_scores_codex":[0.9959204,0.0002209379,0.001235608,0.001206289,0.0007648551,0.000651929],"domain_scores_gemma":[0.99671,0.0007185796,0.000651811,0.001258852,0.0004846952,0.0001760439],"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":[0.00002029792,0.000693049,0.00006308008,0.0005691886,0.002969286,0.00002967969,0.0004415201,0.5363961,0.00003197727,0.004339492,0.4503853,0.004061029],"study_design_scores_gemma":[0.0008302557,0.0003467145,0.0008413921,0.0002516008,0.00233,0.00004182377,0.00004377151,0.5226232,0.00005396326,0.001805429,0.4698529,0.0009789646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002439609,0.0005079609,0.965954,0.02477489,0.000920662,0.001373118,0.005733103,0.000187289,0.0003049988],"genre_scores_gemma":[0.7346426,0.0009622994,0.1212279,0.0433106,0.005707338,0.007282665,0.01839177,0.0007460215,0.0677288],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8447261,"threshold_uncertainty_score":0.9996064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819287408171458,"score_gpt":0.2326094099789323,"score_spread":0.2144165358972177,"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."}}