{"id":"W3107894567","doi":"10.2139/ssrn.3571489","title":"Automatability and Capital Structure","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Capital structure; Business; Economics; Finance; Debt","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007735493,0.0002192223,0.0004490281,0.001798151,0.001290543,0.00418999,0.0006136287,0.001094098,0.0228023],"category_scores_gemma":[0.009808853,0.0002452408,0.0003833888,0.001398991,0.003904872,0.006198442,0.001461756,0.001293075,0.001299952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459749,"about_ca_system_score_gemma":0.0005281639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423775,"about_ca_topic_score_gemma":0.001371742,"domain_scores_codex":[0.9993278,0.0001878703,0.00005016976,0.0002087092,0.0001197612,0.0001058464],"domain_scores_gemma":[0.9904407,0.005959354,0.001251034,0.001099565,0.0006420445,0.0006072556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002706903,0.00001355939,0.0017466,0.00001686252,0.000008212008,0.00002948426,0.0001706159,0.001348394,0.0001815551,0.9921387,0.000421532,0.003897361],"study_design_scores_gemma":[0.000007535054,0.00000801081,0.0009717526,0.000004456434,0.000003516143,0.00003250705,0.000059568,0.001984282,0.0001279114,0.9954458,0.001350786,0.000003765607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056656,0.001198298,0.05923645,0.004577388,0.00009943046,0.00004701288,0.000665262,0.0002113359,0.2282992],"genre_scores_gemma":[0.9867907,0.0001509098,0.001606969,0.00006127729,0.0000513765,0.00001948301,0.00008961237,0.00001636573,0.01121332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0228023,"threshold_uncertainty_score":0.07628125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006871234422412898,"score_gpt":0.1826926685633145,"score_spread":0.1758214341409016,"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."}}