{"id":"W4404141415","doi":"10.3390/jrfm17110498","title":"A Double Optimum New Solution Method Based on EVA and Knapsack","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knapsack problem; Mathematics; Mathematical optimization; Computer science","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":[0.0009325596,0.001443557,0.001748282,0.001724245,0.0007043496,0.001495158,0.001290551,0.001735039,0.005357756],"category_scores_gemma":[0.001590825,0.0007408787,0.001747954,0.001606202,0.0006088821,0.001235611,0.001697263,0.001642379,0.001133866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378469,"about_ca_system_score_gemma":0.001440801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003189181,"about_ca_topic_score_gemma":0.002913554,"domain_scores_codex":[0.9991803,0.000213342,0.0000523313,0.0001496812,0.0003217448,0.0000827458],"domain_scores_gemma":[0.9996118,0.0001665331,0.00004944691,0.00003104059,0.0001167359,0.00002444365],"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":[0.00006780148,0.00007907648,0.0003452807,0.0002582616,0.0001177512,0.0001071981,0.0000893574,0.8042057,0.003287627,0.03148529,0.003019121,0.1569375],"study_design_scores_gemma":[0.0000179313,0.00006705119,0.00009198856,0.00003332635,0.00002386169,0.00007588061,0.00001978139,0.9872925,0.0006537661,0.005820028,0.005886897,0.00001694035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002374321,0.0002811324,0.9908739,0.00006706422,0.000140336,0.00005125645,0.00002453838,0.0001559254,0.006031445],"genre_scores_gemma":[0.1362052,0.0007164833,0.8491182,0.000204181,0.0001388024,0.000601315,0.0001959138,0.0002155849,0.01260421],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005357756,"threshold_uncertainty_score":0.01792341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128556103503824,"score_gpt":0.2753307997106704,"score_spread":0.2640452386756321,"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."}}