{"id":"W635889775","doi":"","title":"Measuring and Managing Credit Risk","year":2004,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credit risk; Credit history; Credit reference; Credit derivative; Analytics; Actuarial science; Business; Credit crunch; Economics; Finance; Computer science; Data science","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"],"consensus_categories":[],"category_scores_codex":[0.001053163,0.0002891479,0.000872276,0.0003561199,0.0001774949,0.00002172736,0.0002445708,0.001013213,0.0007318089],"category_scores_gemma":[0.0002970262,0.0003217454,0.00008880498,0.00005711769,0.0006732523,0.00006232946,0.0002964846,0.0009141379,0.0002894919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612687,"about_ca_system_score_gemma":0.000144753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005466571,"about_ca_topic_score_gemma":0.0002331575,"domain_scores_codex":[0.9980529,0.00003435583,0.0006362338,0.0007266,0.00007704952,0.0004728526],"domain_scores_gemma":[0.9990354,0.0001117029,0.0003890703,0.0002583244,0.00001837144,0.0001871537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003401558,0.00003657628,0.01570652,0.0001746769,0.000173612,0.0004489653,0.0003542408,0.000003377319,3.436676e-8,0.9498302,0.001454228,0.03178354],"study_design_scores_gemma":[0.0009326655,0.0001537134,0.01409639,0.0000854251,0.00004230068,0.0001196347,0.000008690479,0.0001195353,3.748495e-7,0.8140132,0.1700905,0.0003375639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008873901,0.04502577,0.009436779,0.002443529,0.003030406,0.0003939847,0.00008945422,0.00009737895,0.9306088],"genre_scores_gemma":[0.174141,0.08758489,0.0006244659,0.004669237,0.001907911,0.0001154324,0.0001645575,0.0001519403,0.7306406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1999682,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099291500824572,"score_gpt":0.2051377312618613,"score_spread":0.1841448162536156,"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."}}