{"id":"W1982041911","doi":"10.1109/sisy.2014.6923613","title":"Modelling multiple REIT indices using TAR models based on aggregation functions","year":2014,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; tar (computing); Econometrics; Multivariate analysis; Computer science; Series (stratigraphy); Statistics; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002467065,0.00118345,0.00113766,0.001523089,0.0002719572,0.001715435,0.001199666,0.001052705,0.001199645],"category_scores_gemma":[0.005432348,0.0004271419,0.001851924,0.001412172,0.0004368825,0.001672605,0.0008154969,0.001327183,0.0002532165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007915832,"about_ca_system_score_gemma":0.0005909287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01292753,"about_ca_topic_score_gemma":0.006889635,"domain_scores_codex":[0.9991981,0.0003408958,0.000060883,0.0001697173,0.0001051044,0.000125376],"domain_scores_gemma":[0.9964448,0.002186944,0.0007453746,0.0002118236,0.0003331199,0.00007806458],"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":[0.00006016759,0.00003529155,0.004744928,0.00003066733,0.00007807798,0.00006276896,0.00004995161,0.9798958,0.0003418224,0.006085988,0.0001631843,0.008451282],"study_design_scores_gemma":[0.000001392035,0.000008880986,0.0004370623,0.000002790132,0.000007946877,0.000005822943,0.00000714967,0.998315,0.00005511866,0.001089824,0.00006497769,0.000004101581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4919676,0.0007522851,0.5014099,0.0003353878,0.00007151566,0.0001142854,0.0008037501,0.0004656558,0.004079671],"genre_scores_gemma":[0.9748949,0.0003106688,0.02234052,0.0000298029,0.00004393306,0.00008664784,0.0005055131,0.00003634996,0.001751621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292753,"threshold_uncertainty_score":0.02570456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2922563362149901,"score_gpt":0.3939281307337711,"score_spread":0.101671794518781,"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."}}