{"id":"W1983074911","doi":"10.5539/ijef.v4n12p76","title":"The Economic Competitiveness of Countries: A Principal Factors Approach","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Index (typography); Economics; Quality (philosophy); Yearbook; Competition (biology); Principal (computer security); Variables; Order (exchange); Government (linguistics); Comparability; Panel data; Principal component analysis; Econometrics; Statistics; Computer science; Mathematics; Market economy","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":[0.004965785,0.002061156,0.001467691,0.009672773,0.001669932,0.008496423,0.001254856,0.001163866,0.007758623],"category_scores_gemma":[0.008870659,0.0006710383,0.002185732,0.01360787,0.002497667,0.003099102,0.002767576,0.002181845,0.001427709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629367,"about_ca_system_score_gemma":0.005635393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008843137,"about_ca_topic_score_gemma":0.00470033,"domain_scores_codex":[0.9952168,0.002499934,0.0001993926,0.0005252514,0.001262975,0.0002955346],"domain_scores_gemma":[0.9968274,0.001877315,0.0004306359,0.0001540483,0.0005226001,0.0001879196],"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":[0.00014203,0.0004859312,0.06254948,0.001353817,0.001240066,0.0008870323,0.003496593,0.06588089,0.0006411479,0.6420772,0.01249495,0.2087507],"study_design_scores_gemma":[0.0001521053,0.0003937442,0.07964586,0.001077514,0.0006092662,0.0005151255,0.00853311,0.1330139,0.0007327723,0.6839235,0.09114763,0.0002555412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2096,0.01538115,0.5782433,0.006495698,0.001003485,0.002776575,0.003699179,0.000683956,0.1821166],"genre_scores_gemma":[0.7817496,0.009320706,0.1981512,0.0002753146,0.0006412512,0.001094831,0.001689511,0.0001561425,0.006921446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009672773,"threshold_uncertainty_score":0.02626187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851571434199718,"score_gpt":0.21786603276483,"score_spread":0.1993503184228329,"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."}}