{"id":"W2922299809","doi":"10.2139/ssrn.3337795","title":"Firm Performance and Managing Downside Business Risk","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University; University of Windsor","funders":"","keywords":"Downside risk; Business; Finance; Portfolio","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":[0.002389254,0.000268438,0.0002472633,0.001494202,0.0004604117,0.003477327,0.0002641046,0.001096511,0.003006392],"category_scores_gemma":[0.01325394,0.00008255154,0.000161823,0.001019778,0.0006006709,0.001725969,0.0009652421,0.0008250162,0.0004612883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008889469,"about_ca_system_score_gemma":0.000605027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009931671,"about_ca_topic_score_gemma":0.001799969,"domain_scores_codex":[0.9989221,0.0003164245,0.00008512349,0.00008766794,0.0003611339,0.0002274673],"domain_scores_gemma":[0.9852841,0.004955065,0.006029172,0.0003186802,0.001603753,0.001809318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005722588,0.0009015868,0.8446472,0.0001363743,0.0002703443,0.0007434911,0.001038631,0.01034898,0.003514535,0.01915895,0.004666956,0.1140008],"study_design_scores_gemma":[0.00002334566,0.0008105618,0.9606581,0.00008514002,0.0001201739,0.0002627306,0.001889257,0.01200558,0.001485087,0.01828716,0.004314973,0.00005795915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738435,0.001291821,0.001096935,0.001546592,0.0000486077,0.00001316028,0.0000689604,0.00002917874,0.02206111],"genre_scores_gemma":[0.9987686,0.0001479421,0.00008282229,0.00004109188,0.00004352827,0.000001542216,0.00002550616,0.00000278648,0.0008860306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003477327,"threshold_uncertainty_score":0.01263571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006095918464441171,"score_gpt":0.1951603055592639,"score_spread":0.1890643870948228,"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."}}