{"id":"W3122430887","doi":"","title":"Diversification Gains in the Market for Provincial Bonds","year":2016,"lang":"en","type":"article","venue":"Quarterly journal of finance and accounting","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Bond; Portfolio; Bond market; Debt; Revenue; Equity (law); Financial economics; Economics; Business; Finance","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":[0.0006439682,0.0002423382,0.0003618223,0.001330566,0.0008765858,0.002502157,0.0004669718,0.0003344399,0.004805721],"category_scores_gemma":[0.004395497,0.00009060286,0.0003331584,0.001612973,0.0007386893,0.0007085716,0.0006408692,0.0004741756,0.0002102013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01097004,"about_ca_system_score_gemma":0.00461045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5378757,"about_ca_topic_score_gemma":0.4960891,"domain_scores_codex":[0.9993497,0.00004752673,0.00001966029,0.00006446024,0.0003101687,0.0002084971],"domain_scores_gemma":[0.9974548,0.0002815596,0.000910758,0.0001874706,0.0006970468,0.0004684408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001491067,0.0002978266,0.7507721,0.0002415015,0.0003795777,0.0006065163,0.001118399,0.05417054,0.01133783,0.08068709,0.007292842,0.09160486],"study_design_scores_gemma":[0.00008508623,0.0002174834,0.9189109,0.00006527441,0.000133465,0.0002854876,0.001253207,0.03888369,0.002974148,0.02278947,0.01433582,0.00006599051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974207,0.0006594174,0.0008226486,0.0002474292,0.000006915177,0.0000331037,0.001278574,0.00003436035,0.0227105],"genre_scores_gemma":[0.9980129,0.0001243661,0.0001764848,0.00001106717,0.000004748116,0.000002659976,0.0003986688,0.000001956335,0.001267146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5378757,"threshold_uncertainty_score":0.9296918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04659228567081301,"score_gpt":0.2319164830949359,"score_spread":0.1853241974241229,"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."}}