{"id":"W2809652621","doi":"10.5539/mas.v12n7p73","title":"Collaborative Strategy for Grey Wolf Optimization Algorithm","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Particle swarm optimization; Algorithm; Computer science; Set (abstract data type); Mathematical optimization; Metaheuristic; Feature (linguistics); Heuristics; Search algorithm; Mathematics","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":[0.0009252231,0.0008398872,0.001106315,0.0006674277,0.0004884872,0.0009529896,0.00126719,0.001416817,0.00295132],"category_scores_gemma":[0.001826445,0.0002814726,0.0007425489,0.0006708842,0.0007815753,0.0007953126,0.001074607,0.0007019957,0.000541671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006709152,"about_ca_system_score_gemma":0.001013334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058746,"about_ca_topic_score_gemma":0.001825172,"domain_scores_codex":[0.9994137,0.0001641881,0.00003609845,0.0001075488,0.0002099095,0.0000685095],"domain_scores_gemma":[0.9996154,0.0001807696,0.0000423691,0.00003459543,0.0001021382,0.00002462921],"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":[0.00007947029,0.00005454136,0.0007007282,0.0001283255,0.00009171957,0.0001984791,0.0001257924,0.8554589,0.004973885,0.04472905,0.002209009,0.09125011],"study_design_scores_gemma":[0.00002230115,0.0000549614,0.00008449703,0.000007424072,0.00001264048,0.00003392095,0.000009487946,0.9915847,0.0007166924,0.005692359,0.001774077,0.000006955021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01386161,0.0005124099,0.9753957,0.0001839234,0.00008431963,0.00009523817,0.00002573493,0.0002232783,0.009617816],"genre_scores_gemma":[0.7047715,0.0005872363,0.2841609,0.0002657122,0.00007324591,0.0004752441,0.0001270137,0.00008436939,0.009454761],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003058746,"threshold_uncertainty_score":0.009873152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769708592367006,"score_gpt":0.3130326774090816,"score_spread":0.2853355914854116,"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."}}