{"id":"W6909826459","doi":"10.3886/e111685","title":"Data and Code for: Ambiguity, Nominal Bond Yields, and Real Bond Yields","year":2020,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bond; Yield (engineering); Nominal interest rate; Inflation (cosmology); Knightian uncertainty; Bond valuation; Real interest rate","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":[0.001134266,0.002438836,0.001131592,0.003012444,0.0005176172,0.002195819,0.002579817,0.003057119,0.06779994],"category_scores_gemma":[0.007071234,0.0007407781,0.001268224,0.006120373,0.0005442662,0.001661978,0.002139915,0.002100091,0.1079136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332852,"about_ca_system_score_gemma":0.001486671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806315,"about_ca_topic_score_gemma":0.02598417,"domain_scores_codex":[0.9991291,0.0001203638,0.0001294509,0.0002529893,0.0002234199,0.0001446426],"domain_scores_gemma":[0.9975845,0.0006366778,0.0003742611,0.0006702578,0.0005155896,0.0002186518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006792654,0.00003128328,0.001222393,0.0005754888,0.00002722489,0.00003509912,0.00002734101,0.0008749711,0.0001422076,0.0005900639,0.9936007,0.002805349],"study_design_scores_gemma":[0.0003977089,0.00003106612,0.006317297,0.0003446458,0.00002687928,0.0001086658,0.0001138879,0.002025443,0.0005855294,0.003057385,0.9869273,0.00006412595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001294922,0.00003665431,0.00006787964,0.00006628534,0.00001975412,0.000007134764,0.999007,0.0003683118,0.0002974873],"genre_scores_gemma":[0.0005362502,0.00005244559,0.0004031074,0.00005156744,0.000006663862,0.00006017338,0.9984358,0.0000899908,0.0003638776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06779994,"threshold_uncertainty_score":0.2268134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265512791441314,"score_gpt":0.3475447131637585,"score_spread":0.2209934340196271,"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."}}