{"id":"W1558147845","doi":"","title":"Database of corporate bonds from Argentina","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Business, Education, Mathematics Research","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banco Bilbao Vizcaya Argentaria; Egg Farmers of Canada","keywords":"Bond; Default; Business; Stock (firearms); Corporate bond; Database; Accounting; Financial economics; Economics; Finance; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002108463,0.0007788359,0.001214868,0.001571704,0.0002753351,0.0005429565,0.001558576,0.0005595106,0.008481783],"category_scores_gemma":[0.0006342747,0.0008518583,0.0003326113,0.0008279738,0.0006928317,0.001288929,0.001657894,0.00113777,0.002498772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519593,"about_ca_system_score_gemma":0.001193074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725123,"about_ca_topic_score_gemma":0.0008209951,"domain_scores_codex":[0.9953668,0.00004923063,0.001633551,0.001229307,0.0008869335,0.0008342481],"domain_scores_gemma":[0.9930044,0.0003524534,0.003161822,0.00215892,0.001233578,0.00008884939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008147231,0.0008246159,0.8833574,0.003450441,0.0003669572,0.00005504939,0.0001632272,0.00006529773,0.000694382,0.01433353,0.09609613,0.00051152],"study_design_scores_gemma":[0.004992224,0.00004441826,0.6495668,0.006450958,0.001795035,0.00005313322,0.001602452,0.01531038,0.002839939,0.1114013,0.1991987,0.006744687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397906,0.001309394,0.001466014,0.0004644023,0.00507566,0.001041653,0.0004484756,0.0002381961,0.0501656],"genre_scores_gemma":[0.9718681,0.0003165852,0.009640618,0.0008360352,0.008059279,0.000204435,0.004472841,0.0003425107,0.004259583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337906,"threshold_uncertainty_score":0.9993932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06765502463959869,"score_gpt":0.2896509027984138,"score_spread":0.2219958781588151,"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."}}