{"id":"W3120492858","doi":"10.3390/jrfm14010021","title":"Do the Determinants of Non-Performing Loans Have a Different Effect over Time? A Conditional Correlation Approach","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics; Loan; Correlation; Linkage (software); sort; Variety (cybernetics); Statistics; Mathematics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009519963,0.000117529,0.0003698345,0.0001581189,0.0001536583,0.00004689545,0.0001214551,0.00005827408,0.00005980401],"category_scores_gemma":[0.0001457369,0.00009178937,0.0001511837,0.0001598851,0.00007422999,0.0001372099,0.00007228515,0.0001593549,0.000004587469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006491591,"about_ca_system_score_gemma":0.00001625847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049362,"about_ca_topic_score_gemma":0.000006197722,"domain_scores_codex":[0.9988487,0.00004091772,0.0006772949,0.0001832597,0.0001094389,0.0001403439],"domain_scores_gemma":[0.9988466,0.0001215197,0.0007649701,0.0001710479,0.00006477314,0.00003108915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006349428,0.0002134292,0.9457528,0.000118537,0.00003549187,0.000008494251,0.0008470722,0.001263766,0.000005457457,0.01252036,0.00009938428,0.03907171],"study_design_scores_gemma":[0.0009083273,0.0001385884,0.9609192,0.00005670514,0.00005580435,0.00001890522,0.00005711481,0.02372068,0.00004383805,0.0130726,0.0009049644,0.0001033016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366048,0.0009870826,0.06105115,0.00001704562,0.0002292214,0.0001795032,0.00004022262,0.000002312744,0.0008886867],"genre_scores_gemma":[0.9988907,0.0003357615,0.0005446991,0.00001573142,0.0000942407,0.000005774925,0.000005269056,0.000008095816,0.00009972313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06228593,"threshold_uncertainty_score":0.3743062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007751042192193815,"score_gpt":0.2108275518092994,"score_spread":0.2030765096171056,"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."}}