{"id":"W3123146573","doi":"10.20955/wp.2011.028","title":"Government Policy Response to War-Expenditure Shocks","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Government expenditure; Government (linguistics); Economics; Monetary economics; Macroeconomics; Keynesian economics; Public finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00118402,0.0002482713,0.0006650093,0.0005672235,0.0004310702,0.002171564,0.0004195785,0.001461337,0.005891468],"category_scores_gemma":[0.007034541,0.0002820626,0.0003574551,0.0007647903,0.0005236639,0.0008400689,0.000776304,0.001727191,0.0008938581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866895,"about_ca_system_score_gemma":0.0009547167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005550462,"about_ca_topic_score_gemma":0.004364263,"domain_scores_codex":[0.9993345,0.0002118617,0.00002851228,0.0001238131,0.00008877708,0.0002126149],"domain_scores_gemma":[0.9984291,0.0006888831,0.0004557592,0.0001401276,0.0001756028,0.0001106082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001020434,0.0001546003,0.02933784,0.0001794415,0.0002427066,0.0004930744,0.0009076087,0.2585705,0.007386724,0.6338273,0.01943996,0.04843985],"study_design_scores_gemma":[0.0001587408,0.0001602648,0.06966587,0.00007657997,0.000104131,0.0002544387,0.002545364,0.4124136,0.004438385,0.4849788,0.02511228,0.00009158257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635899,0.0007515189,0.03559607,0.01438216,0.000227261,0.00008867103,0.001988876,0.0004512262,0.08292427],"genre_scores_gemma":[0.9928575,0.0002105677,0.0007978136,0.0002083321,0.00002321989,0.00001569335,0.0001642578,0.00002493229,0.005697714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005891468,"threshold_uncertainty_score":0.01970893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952858423347848,"score_gpt":0.2605214463841168,"score_spread":0.2109928621506384,"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."}}