{"id":"W3134515015","doi":"10.3390/jrfm14030094","title":"The Impact of Israeli and Saudi Arabian Geopolitical Risks on the Lebanese Financial Market","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; State (computer science); Proxy (statistics); Political science; Economy; Development economics; Political economy; Economics; Politics; Law","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":[0.0008038113,0.0001658091,0.0001864253,0.0007041999,0.0004321274,0.003764235,0.0002174675,0.000443051,0.0033419],"category_scores_gemma":[0.002332523,0.00007929479,0.0002356028,0.0005661808,0.0007052238,0.001306022,0.0008609306,0.0005985042,0.000286798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382345,"about_ca_system_score_gemma":0.0009315264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175476,"about_ca_topic_score_gemma":0.0087782,"domain_scores_codex":[0.999694,0.00009681541,0.0000159514,0.00002849969,0.00006028013,0.0001044303],"domain_scores_gemma":[0.9983377,0.000533005,0.0006030385,0.00004459386,0.0002260682,0.0002554891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00072448,0.0002653615,0.9305974,0.00006050922,0.0001795324,0.001921952,0.00149452,0.005695716,0.001749973,0.03097373,0.001828734,0.02450797],"study_design_scores_gemma":[0.0000534033,0.0001882024,0.9520622,0.00006746979,0.00009927789,0.0002956996,0.01132186,0.01966051,0.00158155,0.008629424,0.005990047,0.00005032867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952179,0.0002765169,0.00007677916,0.0006311863,0.000008376278,0.000002599006,0.00006368756,0.000002754787,0.003720219],"genre_scores_gemma":[0.9994434,0.0001228806,0.00001014104,0.00001734683,0.000009126363,5.94945e-7,0.00003414579,9.507974e-7,0.0003613931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01175476,"threshold_uncertainty_score":0.02337265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808181637917242,"score_gpt":0.2429225105543723,"score_spread":0.2248406941751999,"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."}}