{"id":"W1516024852","doi":"","title":"DETERMINANTS OF CAPITAL FLOWS: A CROSS-COUNTRY ANALYSIS","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Capital flows; Economics; Arbitrage; Portfolio; Capital (architecture); Portfolio investment; Econometrics; Estimation; Financial economics; Monetary economics; Macroeconomics; Geography; Microeconomics","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":[0.001300568,0.0003164553,0.0004631644,0.001815371,0.0003933258,0.001506212,0.0002668567,0.0003415393,0.004531397],"category_scores_gemma":[0.002475855,0.0003020614,0.001164108,0.001687707,0.0004181026,0.0007359851,0.001182083,0.0008093952,0.0003578213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004737809,"about_ca_system_score_gemma":0.0003738389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013808,"about_ca_topic_score_gemma":0.006071401,"domain_scores_codex":[0.9995728,0.0001482896,0.00002020701,0.00008192767,0.00005712158,0.0001196221],"domain_scores_gemma":[0.9978077,0.001125112,0.0004272045,0.0002110079,0.0002369977,0.0001920212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003340091,0.0003425419,0.8675324,0.0001142798,0.002112595,0.001449954,0.0007736147,0.05557197,0.001989248,0.03332097,0.003234702,0.03322387],"study_design_scores_gemma":[0.00004486352,0.0002310695,0.9312346,0.00009218583,0.0009428078,0.0005102532,0.001112622,0.04984133,0.001245834,0.0079897,0.006695888,0.00005870119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859111,0.0009277392,0.004763832,0.0002762038,0.00002496132,0.00003269908,0.0008192546,0.00003137158,0.007212834],"genre_scores_gemma":[0.9961389,0.0005563428,0.0008720772,0.00004320026,0.00001933666,0.00001882185,0.0008145226,0.000007454073,0.001529366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013808,"threshold_uncertainty_score":0.02745521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003309192830013,"score_gpt":0.319683100662571,"score_spread":0.2896500087342709,"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."}}