{"id":"W7009136982","doi":"","title":"Determinants of the nonperforming loans level movement in the banking sector of Serbia","year":2014,"lang":"en","type":"article","venue":"SCIndeks","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Non-performing loan; Loan; Position (finance); Quarter (Canadian coin); Point (geometry); Capital (architecture); Unit root; Capital adequacy ratio; Statistical analysis; Term loan","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":[0.0004315136,0.0001336451,0.000182709,0.0006892449,0.0002692924,0.001211632,0.0001150945,0.0001663468,0.001582559],"category_scores_gemma":[0.001265275,0.00009787057,0.0001265802,0.0007218775,0.0003660341,0.0002967867,0.0003628746,0.0003237521,0.0003376909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491256,"about_ca_system_score_gemma":0.0004192966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008584418,"about_ca_topic_score_gemma":0.01037911,"domain_scores_codex":[0.9997012,0.00008424148,0.00003287935,0.00004430793,0.00004383636,0.00009347805],"domain_scores_gemma":[0.9985589,0.0002504876,0.000798009,0.00004992172,0.0001656505,0.000176914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009329704,0.00005799633,0.9853992,0.00002784391,0.00002825791,0.0003615888,0.0008532836,0.0008489585,0.0009563425,0.0007398081,0.0004571972,0.01017617],"study_design_scores_gemma":[0.000001715669,0.00002365974,0.9972379,0.00001852292,0.000006178443,0.0001017434,0.00126877,0.0004301408,0.0001094638,0.00008418038,0.0007153892,0.000002276389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988025,0.0001728091,0.00005647115,0.00006204503,0.00000239373,0.000001700359,0.00005531688,0.000001866291,0.0008448728],"genre_scores_gemma":[0.999568,0.0001179624,0.00002822784,0.000007544641,0.000002803721,9.030136e-7,0.00006246945,7.311662e-7,0.0002113135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008584418,"threshold_uncertainty_score":0.01706886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06243176136559404,"score_gpt":0.2229606887148279,"score_spread":0.1605289273492338,"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."}}