{"id":"W1570263271","doi":"","title":"THE BASEL COMMITTEE PROPOSAL ON RISK-WEIGHTS AND EXTERNAL RATINGS: WHAT DO WE LEARN FROM BOND SPREADS?","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Issuer; Credit rating; Bond; Maturity (psychological); Credit risk; Basel III; Business; Risk-weighted asset; Bond credit rating; Basel II; Loan; Eurobond; Actuarial science; Collateral; Financial system; Economics; Capital requirement; Finance; Credit reference","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002966736,0.0004636711,0.0008218228,0.0004785125,0.0008895858,0.0015333,0.0008149686,0.0005932741,0.000125825],"category_scores_gemma":[0.0009676325,0.0004484323,0.0002587299,0.0001543777,0.0006137543,0.00033077,0.0007095978,0.002713678,0.0001045125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006579419,"about_ca_system_score_gemma":0.0002941845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006959647,"about_ca_topic_score_gemma":0.001040179,"domain_scores_codex":[0.9960662,0.0002314043,0.001260829,0.001415816,0.0001502781,0.0008755221],"domain_scores_gemma":[0.9958826,0.001559906,0.0007860676,0.00144862,0.00007945815,0.000243319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002699233,0.0003283443,0.1718091,0.00007258258,0.0001845125,0.00002890321,0.001525364,0.001647156,0.000007648177,0.1357331,0.001043692,0.6873497],"study_design_scores_gemma":[0.001324286,0.0002235669,0.1387943,0.0007427234,0.00001597912,0.000006435017,0.001219592,0.01035731,0.00005912541,0.480358,0.3659119,0.0009868519],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.931789,0.02288791,0.00007097422,0.002505898,0.00221927,0.001533595,0.0008444594,0.0000465759,0.03810234],"genre_scores_gemma":[0.4846544,0.507306,0.002329912,0.00005720296,0.00102925,0.0003811966,0.00008811777,0.0001489304,0.004005023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6863628,"threshold_uncertainty_score":0.9997967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274539843152209,"score_gpt":0.2716902912570193,"score_spread":0.2442363069417984,"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."}}