{"id":"W4403826848","doi":"10.1109/jiot.2024.3486714","title":"Optimization of Financial Asset Allocation and Risk Management Strategies Combining Internet of Things and Clustering Algorithms","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Cluster analysis; Internet of Things; Asset allocation; Asset management; Trust management (information system); Risk management; Algorithm; Data mining; Finance; Computer security; Artificial intelligence; Business","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":[0.0009043601,0.001125722,0.0009667258,0.001215272,0.000568399,0.001043679,0.0009285675,0.001058721,0.0009229546],"category_scores_gemma":[0.001891385,0.0004401615,0.000999334,0.0008993153,0.0004070974,0.001112712,0.000809955,0.0005030689,0.0001786314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007136583,"about_ca_system_score_gemma":0.001061302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005756678,"about_ca_topic_score_gemma":0.003764632,"domain_scores_codex":[0.9994758,0.0001313488,0.00003802706,0.0001168688,0.0001604511,0.0000775263],"domain_scores_gemma":[0.9994745,0.000212495,0.00008842489,0.0000371021,0.0001554763,0.00003200952],"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":[0.0000518721,0.00007137333,0.002351433,0.00006151053,0.0001193087,0.00006428243,0.00005585045,0.9139122,0.001910499,0.003972723,0.0009721034,0.07645685],"study_design_scores_gemma":[0.000005603083,0.0000192217,0.0005197955,0.000005739929,0.00001595607,0.00002002423,0.00002498505,0.996358,0.0004721159,0.002221121,0.0003298919,0.000007548896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0623282,0.0005120164,0.9323029,0.0002404868,0.00006229587,0.00008705859,0.00007456878,0.000263131,0.004129301],"genre_scores_gemma":[0.8025755,0.000447306,0.1941881,0.0001293042,0.00005503493,0.000197926,0.0001965664,0.00005533559,0.002154927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005756678,"threshold_uncertainty_score":0.01144636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453191195429961,"score_gpt":0.3301314773085106,"score_spread":0.2848123577655144,"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."}}