{"id":"W3122002529","doi":"10.2139/ssrn.946047","title":"Investment Shocks and Asset Prices","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Monetary economics; Economics; Asset (computer security); Investment (military); Business; Financial economics; Econometrics; Computer science","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":[0.000564357,0.0002234807,0.0003384737,0.0004976348,0.0002339194,0.002792444,0.000221014,0.001350635,0.01035585],"category_scores_gemma":[0.005444979,0.0003201411,0.0002903177,0.0009041654,0.0004837094,0.00180171,0.0006081153,0.001735563,0.001409654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007581424,"about_ca_system_score_gemma":0.0003061964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128179,"about_ca_topic_score_gemma":0.002205053,"domain_scores_codex":[0.9998817,0.00003244252,0.00001160473,0.00001833371,0.00002156146,0.00003433872],"domain_scores_gemma":[0.9977457,0.001135335,0.0006862798,0.0001000974,0.0001171104,0.000215371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002985976,0.001026127,0.4310687,0.0003062592,0.0006371568,0.003831131,0.001126783,0.07746901,0.005529169,0.3566933,0.02328267,0.09604381],"study_design_scores_gemma":[0.0003098632,0.0003310825,0.444926,0.0001214856,0.0002953114,0.0008675746,0.001219385,0.08898506,0.002086122,0.442432,0.01832147,0.0001046906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648089,0.002851681,0.003099165,0.007617145,0.0002151356,0.0000125269,0.0008013223,0.00007261259,0.02052154],"genre_scores_gemma":[0.9912633,0.001359288,0.0001666253,0.0001482001,0.0001139417,0.000003911137,0.0002973374,0.0000110809,0.00663645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035585,"threshold_uncertainty_score":0.03464383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.061465961960724,"score_gpt":0.2109747051386806,"score_spread":0.1495087431779566,"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."}}