{"id":"W2931536202","doi":"","title":"Metal and Machine Industry in Serbia","year":2018,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; European commission; Incentive; Quarter (Canadian coin); Commission; Business; Economics; Economic policy; Economy; Market economy; European union; Geography; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004304896,0.000307509,0.0002453241,0.003037686,0.0007681242,0.002563553,0.0002706231,0.0004216838,0.004073707],"category_scores_gemma":[0.000356536,0.0002185707,0.0002022256,0.003164757,0.0005366341,0.0009071826,0.0007185428,0.0004687142,0.0009740753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311384,"about_ca_system_score_gemma":0.002144852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01701487,"about_ca_topic_score_gemma":0.01853937,"domain_scores_codex":[0.9996794,0.0000452985,0.00003371905,0.00005919809,0.0000679661,0.000114363],"domain_scores_gemma":[0.9997171,0.00002773425,0.0001219143,0.000009656308,0.00008006029,0.00004353018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007703323,0.0003667361,0.4442931,0.003935917,0.0002021432,0.005240345,0.008084605,0.004531047,0.008796118,0.1258502,0.05287424,0.3450553],"study_design_scores_gemma":[0.00001400578,0.0002129817,0.6809039,0.001130658,0.00007304822,0.001121195,0.007139752,0.0008114496,0.001282904,0.001932306,0.3053504,0.00002742858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7899638,0.06527094,0.001127194,0.00400538,0.0006581998,0.00003487826,0.00400679,0.0001171791,0.1348156],"genre_scores_gemma":[0.9614425,0.0210759,0.0005232921,0.0002477785,0.00007749839,0.00000935364,0.001277653,0.00001343302,0.01533263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01701487,"threshold_uncertainty_score":0.03383166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098317839216079,"score_gpt":0.1962101826180318,"score_spread":0.175227004225871,"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."}}