{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380885,0.0008286281,0.0009466878,0.00686967,0.0005604225,0.001800841,0.0009555825,0.0005347637,0.02479035],"category_scores_gemma":[0.008563928,0.0003610219,0.000281747,0.0111403,0.0001574696,0.0007784205,0.0007545326,0.0007615892,0.01390962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049275,"about_ca_system_score_gemma":0.001456297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180325,"about_ca_topic_score_gemma":0.007050176,"domain_scores_codex":[0.9975739,0.0003518485,0.0004700537,0.0003543063,0.001085286,0.0001645422],"domain_scores_gemma":[0.9939027,0.0008473232,0.001595733,0.000911122,0.002313467,0.0004296663],"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":[0.0007935135,0.0002733642,0.06878032,0.001270957,0.000108048,0.0006306869,0.0004802554,0.002737733,0.002301435,0.007814814,0.7858064,0.1290025],"study_design_scores_gemma":[0.0001754431,0.00009776277,0.1225572,0.0002405635,0.00005273775,0.0006148167,0.0001949243,0.002705703,0.001255022,0.001656872,0.870393,0.00005586006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03148714,0.002026022,0.002052295,0.0002462773,0.0001419706,0.0002979785,0.9387335,0.001177829,0.02383711],"genre_scores_gemma":[0.02808344,0.001337035,0.002800748,0.00003360491,0.00009763729,0.0006319479,0.9623494,0.0001769059,0.004489326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02479035,"threshold_uncertainty_score":0.082932,"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."}}