{"id":"W1606822383","doi":"","title":"A Study on Prevention of Non-Performing Assets of Chinese State-Owned Commercial Banks","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; State owned; Non-performing asset; China; Finance; Government (linguistics); Assets under management; Return on assets; Fixed asset; Economics; Market economy; Production (economics)","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":[0.0008008394,0.0000902161,0.0001630252,0.0002068579,0.000232984,0.00005836233,0.0003512011,0.00002812812,0.0000151956],"category_scores_gemma":[0.0001768362,0.00008325166,0.00003816769,0.001213797,0.0001850399,0.0007626963,0.00005587102,0.00007804251,0.00001393587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443534,"about_ca_system_score_gemma":0.0005145058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0466536,"about_ca_topic_score_gemma":0.09292787,"domain_scores_codex":[0.9989172,0.00000802804,0.0002100964,0.0001767677,0.0004391379,0.0002487554],"domain_scores_gemma":[0.999262,0.00001009909,0.0002802372,0.0001224751,0.0002789998,0.00004612891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003861302,0.0001704007,0.9675047,0.00002750056,0.000006992618,0.00001155806,0.002191126,0.00001231447,0.00044767,0.00163086,0.0008852881,0.02707297],"study_design_scores_gemma":[0.0004709171,0.00007384077,0.9958282,0.0000274056,0.000008704076,1.57711e-7,0.0009420387,0.0001718574,0.00007198755,0.001076161,0.001198838,0.0001299595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642386,0.000004778482,0.00001672064,0.0001043378,0.0003245579,0.0002323132,0.000008996362,0.000007164159,0.03506257],"genre_scores_gemma":[0.9995344,2.306501e-7,0.00001078006,0.0001559334,0.0002118069,0.000005725095,0.000002717534,0.000005768137,0.00007269956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04627427,"threshold_uncertainty_score":0.9596948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379247003137036,"score_gpt":0.2869246923696657,"score_spread":0.2489999920559621,"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."}}