{"id":"W4388303769","doi":"10.1111/jmcb.13110","title":"Geopolitical Risk and Investment","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; Investment (military); Index (typography); Capital (architecture); Economics; Quarter (Canadian coin); Sample (material); Monetary economics; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004614538,0.0001574249,0.0002178911,0.001096293,0.0001304278,0.001487784,0.0001524962,0.0003792674,0.002812527],"category_scores_gemma":[0.005602216,0.0001108739,0.000142691,0.00185094,0.0004436452,0.0006143429,0.0004412954,0.0004466156,0.0003818328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812434,"about_ca_system_score_gemma":0.0001784421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101604,"about_ca_topic_score_gemma":0.00197357,"domain_scores_codex":[0.9997173,0.00007130341,0.00003240224,0.00004416681,0.00009488195,0.0000399494],"domain_scores_gemma":[0.9908856,0.002465954,0.005507836,0.0002971014,0.0004593498,0.0003842646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749637,0.00007695994,0.9613822,0.00005270094,0.0001552577,0.000229116,0.0001641378,0.008024352,0.0009188679,0.01117001,0.001194311,0.01645719],"study_design_scores_gemma":[0.00000765955,0.00007004465,0.9741242,0.00002786747,0.00004088256,0.0002115627,0.0003264209,0.01319345,0.0008471031,0.007662909,0.00346711,0.00002075017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986203,0.0007554491,0.001323957,0.0005138126,0.00001848249,0.00001213406,0.0006777933,0.00002880768,0.01046655],"genre_scores_gemma":[0.9991522,0.0001786398,0.00007779444,0.00001082772,0.00001481089,0.00000177564,0.0001496236,0.000001728223,0.0004127127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002812527,"threshold_uncertainty_score":0.009408891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024412249154248,"score_gpt":0.2273930001801433,"score_spread":0.2029807510258953,"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."}}