{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00304282,0.00105395,0.0007038077,0.002364972,0.001079674,0.008084012,0.001421549,0.002018755,0.02332311],"category_scores_gemma":[0.01196069,0.0004986342,0.0003519388,0.00241957,0.001299745,0.007105984,0.002784292,0.002604027,0.01071501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562221,"about_ca_system_score_gemma":0.00217319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528421,"about_ca_topic_score_gemma":0.002634558,"domain_scores_codex":[0.9952207,0.0006146495,0.0001873531,0.0003821657,0.003406817,0.0001883233],"domain_scores_gemma":[0.9966925,0.000968754,0.000336023,0.0003936686,0.001353604,0.0002553701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002455935,0.00004844241,0.002716524,0.0002632847,0.00002545039,0.00005552122,0.0005103064,0.002016813,0.001358019,0.07741601,0.3235038,0.5920613],"study_design_scores_gemma":[0.00001139174,0.0000791529,0.004424848,0.0006931604,0.00002886304,0.0003040669,0.0008106873,0.005451065,0.002513115,0.0713237,0.914292,0.00006800897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01149616,0.0663418,0.1975666,0.05473701,0.006173422,0.0007266562,0.002653052,0.005202163,0.6551031],"genre_scores_gemma":[0.2165541,0.1055359,0.2558124,0.01347235,0.006535213,0.0007753671,0.003657515,0.00124063,0.3964165],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02332311,"threshold_uncertainty_score":0.07802361,"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."}}