{"id":"W3138877967","doi":"","title":"RRCLibrary: Financial Performance Data (Database instruction): Glossary","year":2018,"lang":"en","type":"article","venue":"","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glossary; Database; Interface (matter); Computer science; Finance; Accounting; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000818513,0.000111551,0.0001142695,0.0001792814,0.0004303094,0.000245878,0.0005320924,0.00005261321,0.001786469],"category_scores_gemma":[0.0008853572,0.00009806985,0.00002474228,0.000672537,0.0001330998,0.003423984,0.0007824601,0.0001385791,0.002302427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001094797,"about_ca_system_score_gemma":0.0001385317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004618574,"about_ca_topic_score_gemma":0.00008664134,"domain_scores_codex":[0.9986173,0.000006905733,0.0002948371,0.0003765623,0.0004128935,0.0002915203],"domain_scores_gemma":[0.9988494,0.00001570512,0.000145744,0.0007218337,0.0002521543,0.00001515834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001626998,0.0001261755,0.2336096,0.0002017125,0.00001357059,0.00001826377,0.00001615769,0.000005191468,0.0003441549,0.03583921,0.4488227,0.2808405],"study_design_scores_gemma":[0.000576418,0.00002419841,0.202697,0.0000439528,0.0000149328,0.00000702869,0.00002287651,0.04898496,0.0003166092,0.001115823,0.7459441,0.0002521233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888303,0.00001442874,0.0005404477,0.0008190403,0.0009023897,0.0001451286,0.000007739431,0.0002055536,0.108535],"genre_scores_gemma":[0.9882001,0.000009786842,0.001283391,0.001806064,0.005544921,0.000008025709,0.0003250707,0.00001750923,0.002805128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2971213,"threshold_uncertainty_score":0.999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006069435967925,"score_gpt":0.3142500034544618,"score_spread":0.2136430598576693,"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."}}