{"id":"W4392978797","doi":"10.1007/978-3-031-56852-7_8","title":"Nature-Inspired Portfolio Diversification Using Ant Brood Clustering","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Diversification (marketing strategy); ANT; Brood; Cluster analysis; Portfolio; Ant colony; Artificial intelligence; Ant colony optimization algorithms; Ecology; Biology; Financial economics; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004231883,0.0004284387,0.000786448,0.0007885138,0.0005173662,0.0007158336,0.001045069,0.0008552554,0.001807293],"category_scores_gemma":[0.001112536,0.000330797,0.0006348636,0.0007341072,0.000365848,0.0006265362,0.0007976309,0.0006087321,0.0003613195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004449959,"about_ca_system_score_gemma":0.0003376822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528185,"about_ca_topic_score_gemma":0.001721742,"domain_scores_codex":[0.9998242,0.00004154957,0.000007081222,0.00004192515,0.00006015108,0.0000251168],"domain_scores_gemma":[0.9996336,0.0001471339,0.00004195283,0.00005182499,0.00008940868,0.0000361077],"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":[0.0001201093,0.0001005664,0.001490228,0.00006894899,0.0001264816,0.00009494131,0.0000959589,0.7884714,0.01175433,0.01752083,0.002897487,0.1772587],"study_design_scores_gemma":[0.000009003214,0.00002605164,0.0002129286,0.0000040037,0.000008034766,0.00003147226,0.000007209623,0.9952503,0.0005520192,0.003271234,0.0006229124,0.00000479161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1415048,0.001220813,0.8370765,0.0002642211,0.0002259477,0.00009663353,0.00006196772,0.0005635577,0.01898557],"genre_scores_gemma":[0.7544814,0.0003090816,0.2365873,0.0001096178,0.00006624427,0.00008527139,0.0001057087,0.0001288652,0.008126452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001807293,"threshold_uncertainty_score":0.006046057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09732104860517503,"score_gpt":0.3767115207542193,"score_spread":0.2793904721490442,"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."}}