{"id":"W2763728129","doi":"","title":"Decision Horizon and Idiosyncratic Risk","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cash flow; Volatility (finance); Systematic risk; Economics; Time horizon; Horizon; Stock (firearms); Financial economics; Investment (military); Cash; Microeconomics; Econometrics; Monetary economics; Actuarial science; Finance; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001285378,0.0001128422,0.000271171,0.0002194539,0.0001378627,0.00009722548,0.0001333316,0.00006462699,0.0002155888],"category_scores_gemma":[0.00005127446,0.0001033551,0.0001373516,0.0001669858,0.00002210491,0.0002393709,0.00003138215,0.0007425688,0.0009309137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781361,"about_ca_system_score_gemma":0.00008720566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271075,"about_ca_topic_score_gemma":0.0003044668,"domain_scores_codex":[0.9984749,0.00001533503,0.0003652275,0.0002265066,0.00004491864,0.0008731403],"domain_scores_gemma":[0.9994284,0.0000407867,0.0002826751,0.0001616444,0.00001618696,0.00007029075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000162338,0.00002121363,0.06312116,0.000002148788,0.0001339963,7.057896e-7,0.00005695713,0.00002186648,0.00001587522,0.9295028,0.00006050639,0.00704656],"study_design_scores_gemma":[0.0005540329,0.0003837766,0.005788509,0.000007122745,0.0000249805,0.00005171739,0.0002691328,0.001979668,0.00001071204,0.988076,0.002695158,0.000159141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057061,0.09050387,0.001575153,0.0001387102,0.0002456945,0.00007035456,0.00000507715,0.00001042777,0.001744601],"genre_scores_gemma":[0.8641645,0.132679,0.0001353454,0.00003259269,0.0001037409,0.000001135518,0.000001792637,0.00001361925,0.002868233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05857328,"threshold_uncertainty_score":0.999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005574158388281009,"score_gpt":0.1868654227462933,"score_spread":0.1812912643580123,"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."}}