{"id":"W7025751514","doi":"","title":"Ztráty z úvěrů v České republice","year":2010,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Nonlinear Waves and Solitons","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Business cycle; Quarter (Canadian coin); Probability of default; Estimation; Credit risk; Distribution (mathematics); Credit cycle; Business sector","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":[0.0006982573,0.0008425392,0.001270788,0.002573143,0.001342898,0.004898902,0.0006358293,0.0006979938,0.04972701],"category_scores_gemma":[0.002178709,0.0004251994,0.0007931964,0.002631535,0.0009394948,0.001801041,0.002280473,0.002575352,0.01907631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078598,"about_ca_system_score_gemma":0.004033437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172923,"about_ca_topic_score_gemma":0.007653102,"domain_scores_codex":[0.9992892,0.00007028462,0.00006533066,0.0002212503,0.0002485915,0.0001053631],"domain_scores_gemma":[0.9994845,0.0000720928,0.0001206204,0.0001049125,0.0001403705,0.00007749741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001035086,0.000329161,0.03917971,0.003769826,0.0002971984,0.00168979,0.002073471,0.01344052,0.01166268,0.1440331,0.1111127,0.6713768],"study_design_scores_gemma":[0.00009005026,0.000226086,0.09608353,0.001034513,0.00009170845,0.0020186,0.001045181,0.004653391,0.005258339,0.01314829,0.8762217,0.0001286651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2513758,0.05591395,0.03959753,0.009732317,0.003551881,0.0006149348,0.0584939,0.004067559,0.5766522],"genre_scores_gemma":[0.7585208,0.02117977,0.01997177,0.0006416204,0.0004942263,0.0003970205,0.01808006,0.001249172,0.1794654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04972701,"threshold_uncertainty_score":0.1663534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004983620662181333,"score_gpt":0.2443028718787399,"score_spread":0.2393192512165586,"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."}}