{"id":"W2997721321","doi":"10.5539/ass.v16n1p41","title":"Impact of Political Instability on Foreign Direct Investment in Lebanon","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"International Development and Aid","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Economics; Openness to experience; Politics; Political risk; Monetary economics; Multicollinearity; Inflation (cosmology); Causality (physics); Macroeconomics; Regression analysis; Political science; Psychology; Mathematics; Statistics; Social psychology","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":[0.0004353715,0.0001653243,0.000150339,0.0006933077,0.0003884593,0.00136778,0.0001424005,0.0001830375,0.00277699],"category_scores_gemma":[0.0007341708,0.00006605303,0.0001695337,0.0006851148,0.0003970798,0.0003526769,0.0006739711,0.0004102834,0.0001895736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855092,"about_ca_system_score_gemma":0.001102959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03812357,"about_ca_topic_score_gemma":0.04236259,"domain_scores_codex":[0.9997478,0.00006752952,0.00001005703,0.00002596371,0.00003320553,0.0001154842],"domain_scores_gemma":[0.9994237,0.00009862737,0.0002698039,0.00001267306,0.00007317519,0.0001219941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001335735,0.00009070447,0.9760002,0.0000420792,0.00006408143,0.001021236,0.0007326007,0.001540047,0.0007312082,0.003125723,0.001062881,0.01545566],"study_design_scores_gemma":[0.000008462361,0.00005131641,0.9912766,0.00004635256,0.00002447878,0.00009292086,0.002466906,0.001985735,0.0002853478,0.0003941664,0.003358379,0.000009366622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949049,0.0004748888,0.00003248834,0.0005660736,0.00001129279,0.000002305866,0.0001158253,0.000002903648,0.003889358],"genre_scores_gemma":[0.9988976,0.0002176694,0.00001368652,0.00003079895,0.00001121209,0.000001348617,0.00008081013,9.757904e-7,0.0007459445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03812357,"threshold_uncertainty_score":0.07580334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032500435776634,"score_gpt":0.3420272189276959,"score_spread":0.3217022145699296,"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."}}