{"id":"W2891893062","doi":"10.1111/1911-3846.12597","title":"An Empirical Analysis of Analysts' Capital Expenditure Forecasts: Evidence from Corporate Investment Efficiency*","year":2020,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"KPMG","keywords":"Capital expenditure; Investment (military); Capital investment; Capital (architecture); Business; Investment decisions; Economics; Operating expense; Finance; Industrial organization; Monetary economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004209097,0.0003311078,0.0003384784,0.001404739,0.0001673072,0.00131399,0.0003674786,0.0005360163,0.002051923],"category_scores_gemma":[0.05149117,0.0001856002,0.0002357352,0.001893957,0.0005362452,0.001316328,0.0005017328,0.0006110027,0.000334343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224732,"about_ca_system_score_gemma":0.0003175699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166917,"about_ca_topic_score_gemma":0.00205951,"domain_scores_codex":[0.9980666,0.00084908,0.0001987868,0.0002232717,0.0005115417,0.0001507853],"domain_scores_gemma":[0.761024,0.1624451,0.06527083,0.004559927,0.004981817,0.001718206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003038836,0.0001255302,0.9829351,0.00003248406,0.0001841376,0.0001368136,0.0002722375,0.004244724,0.0006448351,0.0006193835,0.0004123339,0.01008861],"study_design_scores_gemma":[0.00002267771,0.0001571381,0.9818944,0.00002196932,0.00008003836,0.0001157826,0.000299481,0.01521772,0.001029567,0.0006651139,0.0004757547,0.00002029444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977143,0.0001055135,0.0003817479,0.000124648,0.000003276789,0.000006165993,0.0002037347,0.000008467534,0.00145212],"genre_scores_gemma":[0.9995435,0.00004512919,0.0000941677,0.000008135965,0.000009062382,0.000001809661,0.0001924294,0.000001722978,0.0001040114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004209097,"threshold_uncertainty_score":0.02226013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213100332716695,"score_gpt":0.3366281435705041,"score_spread":0.2153181102988346,"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."}}