{"id":"W3124770514","doi":"","title":"Revealed Comparative Advantage and Competitiveness in Hungarian Agri-Food Sectors","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Comparative advantage; Revealed comparative advantage; Disadvantage; Consistency (knowledge bases); Agriculture; Index (typography); Economics; Comparative method; International trade; Econometrics; Biology; Mathematics; Ecology; Political science; Computer science","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":[0.0006861891,0.0001826461,0.0003547632,0.003475284,0.0004207659,0.001532672,0.0002300983,0.0002307691,0.00187332],"category_scores_gemma":[0.002314694,0.00009418352,0.0003095581,0.006271836,0.0008993513,0.0008380804,0.001100134,0.000244601,0.0001784739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199026,"about_ca_system_score_gemma":0.000592305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009345122,"about_ca_topic_score_gemma":0.0127562,"domain_scores_codex":[0.9996065,0.00006519554,0.00003193655,0.00006033099,0.00008476117,0.0001512972],"domain_scores_gemma":[0.9969675,0.0007376732,0.001634545,0.0001175618,0.0002844704,0.0002582067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001443996,0.00002767443,0.9852979,0.00003085452,0.00008922551,0.0001780368,0.0007158755,0.001766168,0.000420292,0.002871335,0.0001988364,0.008259436],"study_design_scores_gemma":[0.000002287335,0.0000294946,0.9980715,0.000006047177,0.00001311941,0.00004633643,0.0004503594,0.0006530111,0.0001137864,0.0003118302,0.0002974642,0.00000486074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998126,0.0001681064,0.00009387233,0.00001810347,9.822043e-7,0.000001809212,0.0002234339,0.000001771039,0.001365989],"genre_scores_gemma":[0.9995173,0.00006298713,0.00006045669,0.000002592461,0.000002433279,0.000001374755,0.0002845014,6.12822e-7,0.00006776093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009345122,"threshold_uncertainty_score":0.01858145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392661270969224,"score_gpt":0.2227064780148578,"score_spread":0.2087798653051656,"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."}}