{"id":"W2226908041","doi":"10.1080/13504851.2016.1167818","title":"Determinants of nonresident government debt ownership","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament","funders":"","keywords":"Business; Debt; Government (linguistics); Financial system; Government debt; Accounting; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001963993,0.0001936714,0.0002553937,0.00007969784,0.00004799713,0.0001033844,0.0003493655,0.00005289336,0.00007910927],"category_scores_gemma":[0.00003125585,0.0001582454,0.00008347416,0.00007624119,0.0001044725,0.0006165987,0.000209071,0.00005005659,0.0006738774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726878,"about_ca_system_score_gemma":0.000008718259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000683036,"about_ca_topic_score_gemma":0.00009950305,"domain_scores_codex":[0.9988084,0.00000158561,0.0003947374,0.000342058,0.0001134239,0.0003398327],"domain_scores_gemma":[0.9991831,0.000062191,0.0004196097,0.0003090057,0.00001255215,0.0000135389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004389499,0.0002012949,0.4152021,0.0004184143,0.0001211482,0.00002188311,0.00007383673,0.0002387804,0.166436,0.2784935,0.02376711,0.114587],"study_design_scores_gemma":[0.007111759,0.00006244795,0.5177819,0.0006173707,0.0001963595,0.00001455648,0.0003395239,0.0008950415,0.2465746,0.031773,0.191012,0.003621458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784847,0.000005184881,0.0006592256,0.001334427,0.0002399884,0.0001959018,0.000009526206,0.00004559357,0.01902539],"genre_scores_gemma":[0.9953804,0.000007344122,0.000144944,0.003914475,0.0002887688,0.00003208318,0.000002092297,0.00003936108,0.0001905228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2467205,"threshold_uncertainty_score":0.8661554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326893839309311,"score_gpt":0.1863562748277489,"score_spread":0.1730873364346558,"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."}}