{"id":"W7043201028","doi":"","title":"The state of financial knowledge in the European Union","year":2024,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Inflation (cosmology); Obstacle; State (computer science); Financial risk; Financial literacy; Financial market; Quarter (Canadian coin)","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":[0.006259589,0.0001713075,0.0005356001,0.002597389,0.0008324113,0.00382665,0.000713058,0.001536002,0.004196109],"category_scores_gemma":[0.01216665,0.0001601682,0.0003277095,0.004235292,0.001813091,0.002634579,0.001789734,0.0007810966,0.0004486306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133498,"about_ca_system_score_gemma":0.002025293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008692664,"about_ca_topic_score_gemma":0.003427834,"domain_scores_codex":[0.996311,0.001141411,0.0004657862,0.0005957433,0.0009291311,0.0005569135],"domain_scores_gemma":[0.9894108,0.003997298,0.002964953,0.0004626577,0.001599922,0.00156427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003205278,0.0002650675,0.2221636,0.001628535,0.0002508183,0.0008577685,0.007801716,0.0009187807,0.0004069705,0.03201331,0.026507,0.706866],"study_design_scores_gemma":[0.00003291703,0.0002408855,0.7935748,0.005376374,0.00008017599,0.001345038,0.007510151,0.0004360621,0.0003729168,0.005317037,0.1856454,0.00006826351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6276965,0.1563042,0.0009775731,0.02662244,0.0007440034,0.00003568105,0.002105369,0.00008761633,0.1854266],"genre_scores_gemma":[0.9721753,0.02028248,0.0005942382,0.002986586,0.0001804629,0.00001940506,0.0006905611,0.000009766482,0.003061144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008692664,"threshold_uncertainty_score":0.0331043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009962538571657416,"score_gpt":0.2229032772740372,"score_spread":0.2129407387023798,"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."}}