{"id":"W2797195899","doi":"10.5937/industrija46-15594","title":"The level of production specialization: Serbia and the new EU member states","year":2018,"lang":"en","type":"article","venue":"Industrija","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Per capita; Diversification (marketing strategy); Production (economics); Member states; Index (typography); Manufacturing; Business; Economic geography; Revealed comparative advantage; Czech; Manufacturing sector; Serbian; Industrial production; Economics; International trade; International economics; European union; Comparative advantage; Macroeconomics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005741349,0.00004118693,0.00005393462,0.00001638616,0.0005574042,0.00005751189,0.0001202316,0.00005102891,0.0001010347],"category_scores_gemma":[0.0002992683,0.00002238128,0.00001306348,0.0002679675,0.0008269153,0.00009131199,0.00002322306,0.00005701608,0.00001715842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818693,"about_ca_system_score_gemma":0.0002542421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003226266,"about_ca_topic_score_gemma":0.003444297,"domain_scores_codex":[0.9993969,0.0001022675,0.0001072573,0.00007362069,0.0002078998,0.00011204],"domain_scores_gemma":[0.9995926,0.000114063,0.00006938416,0.00007795481,0.0001113335,0.00003463958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004351142,0.000006078516,0.003317456,0.000001383518,0.00002198671,1.264603e-7,0.02572473,0.000002259288,0.00001210438,0.181669,0.7589502,0.0302512],"study_design_scores_gemma":[0.0001624929,0.000006738043,0.009194436,0.00000823641,0.000005057506,5.686568e-7,0.001308972,0.000003172451,0.0004804285,0.01269418,0.9760996,0.00003609666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2915302,0.0004730317,0.0001051475,0.4669101,0.002735768,0.0008782774,0.000005792351,0.00005025258,0.2373114],"genre_scores_gemma":[0.8203492,0.0007822994,0.00006149567,0.0004666671,0.005210168,0.000005404179,0.000003123513,0.000006475869,0.1731152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5288189,"threshold_uncertainty_score":0.487717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825491049472257,"score_gpt":0.3634760013252699,"score_spread":0.1809268963780442,"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."}}