{"id":"W3124562095","doi":"10.20944/preprints201611.0070.v1","title":"Grouped Bees Algorithm: A Grouped Version of the Bees Algorithm","year":2016,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Bees algorithm; Algorithm; Benchmark (surveying); Honey Bees; Computer science; Set (abstract data type); Implementation; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366005,0.0009442169,0.001210457,0.000958226,0.0006362324,0.001045314,0.001971159,0.001502243,0.005731281],"category_scores_gemma":[0.001538959,0.0003642595,0.001099563,0.001313133,0.0004192537,0.001259556,0.001000077,0.00116509,0.002053938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000370932,"about_ca_system_score_gemma":0.0009645108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720992,"about_ca_topic_score_gemma":0.00281878,"domain_scores_codex":[0.9995223,0.00012835,0.00002978775,0.00008706139,0.0001896827,0.00004277429],"domain_scores_gemma":[0.9996007,0.00009180735,0.00004788896,0.0001027223,0.0001304796,0.00002643005],"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":[0.000276236,0.0001855637,0.001511875,0.0004429492,0.0003425359,0.0002140493,0.0002280583,0.3464495,0.02170895,0.04515596,0.0246128,0.5588715],"study_design_scores_gemma":[0.0001725893,0.0002186248,0.0007486844,0.00006514572,0.00009439092,0.0002574299,0.00005912671,0.898898,0.006750152,0.03195355,0.06072415,0.0000581986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01005053,0.0008944023,0.9782008,0.0002996676,0.0002092657,0.0002723024,0.0001743864,0.001078232,0.008820551],"genre_scores_gemma":[0.1300457,0.0008919747,0.8550126,0.000367649,0.0001553737,0.0005838855,0.0006579803,0.0003270694,0.01195776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005731281,"threshold_uncertainty_score":0.01917309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07965608506299912,"score_gpt":0.3376734934505163,"score_spread":0.2580174083875172,"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."}}