{"id":"W4409648117","doi":"10.23977/jnca.2025.100107","title":"A Nature-inspired Fully Enhanced Hybrid Algorithm Based on Intra-group Competition Mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Network Computing and Applications","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Group (periodic table); Competition (biology); Computer science; Algorithm; Artificial intelligence; Chemistry; Biology; Ecology; Physics","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":[0.0002848376,0.0005223199,0.0007613621,0.0004464973,0.0004422923,0.0007073268,0.001445153,0.0007440222,0.001782405],"category_scores_gemma":[0.0004322079,0.0002194979,0.0006011394,0.0004463651,0.0003729943,0.0005082972,0.0006615039,0.0004122059,0.0003256609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004735933,"about_ca_system_score_gemma":0.0006885382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010837,"about_ca_topic_score_gemma":0.00241393,"domain_scores_codex":[0.999799,0.00003467726,0.000008993427,0.00004516018,0.00008064828,0.00003157235],"domain_scores_gemma":[0.9998668,0.00003622769,0.00002069725,0.00001618251,0.00004240757,0.00001757349],"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":[0.000229708,0.0001259137,0.001945842,0.000133722,0.0001842282,0.0002527552,0.0001776524,0.691985,0.03644442,0.02226689,0.004785276,0.2414686],"study_design_scores_gemma":[0.00002652432,0.00005309517,0.0002117893,0.000003707936,0.00001542112,0.00008165088,0.000006598201,0.9953857,0.00126229,0.001074233,0.001867246,0.00001174994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05629258,0.0006412583,0.9298273,0.000194445,0.000151956,0.00009592661,0.0000472664,0.0008266856,0.01192262],"genre_scores_gemma":[0.7025877,0.0003080764,0.2852818,0.0002324225,0.00005134385,0.0003127738,0.0001613661,0.0001172585,0.01094723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003010837,"threshold_uncertainty_score":0.005986631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006311926803255178,"score_gpt":0.2730461447773535,"score_spread":0.2667342179740984,"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."}}