{"id":"W3189690132","doi":"","title":"Analyst Forecasts, Managerial Learning, and Corporate Investments","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Incentive; Earnings; Investment (military); Business; Investment decisions; Capital (architecture); Capital investment; Monetary economics; Finance; Economics; Industrial organization; Microeconomics; Behavioral economics","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":[0.003592228,0.0002083149,0.0002284681,0.0007432268,0.0002445919,0.001884638,0.0002108885,0.0006762262,0.002621755],"category_scores_gemma":[0.04276725,0.0001503624,0.0001650673,0.0006083797,0.0005275742,0.001594359,0.0005434984,0.0009751609,0.0002771209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401385,"about_ca_system_score_gemma":0.0005005613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890719,"about_ca_topic_score_gemma":0.004934201,"domain_scores_codex":[0.9989526,0.0004111143,0.00007714552,0.0001387744,0.0002819625,0.0001382455],"domain_scores_gemma":[0.8831993,0.07132941,0.03811773,0.002680612,0.002166202,0.002506692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003609882,0.0003963897,0.9408087,0.00005370692,0.0001768045,0.0001428238,0.001378265,0.008079358,0.000797333,0.002850783,0.001203249,0.04375158],"study_design_scores_gemma":[0.00002459106,0.00021596,0.9684286,0.00006068164,0.00007246569,0.0001481479,0.001368871,0.01112048,0.0007316794,0.01625693,0.001520674,0.00005096693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911752,0.0006921322,0.0008417037,0.0009983499,0.00001289649,0.000008555604,0.00008639527,0.00002078365,0.006164032],"genre_scores_gemma":[0.9991767,0.0001643368,0.000141501,0.00005144458,0.00002356396,0.000001328678,0.00003815511,0.000001718827,0.0004012287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003592228,"threshold_uncertainty_score":0.01899773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250534532129719,"score_gpt":0.2013369853486805,"score_spread":0.1888316400273833,"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."}}