{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002756372,0.0002339383,0.0003420314,0.0003435088,0.0002928861,0.00003975451,0.00059934,0.0001930147,0.0006217898],"category_scores_gemma":[0.00005399726,0.0002717645,0.0001172,0.0004373736,0.0006987906,0.0005834738,0.0007973841,0.000640708,0.00006391135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215784,"about_ca_system_score_gemma":0.00004403274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00919158,"about_ca_topic_score_gemma":0.01019884,"domain_scores_codex":[0.9986914,0.0000579232,0.0001893119,0.000418602,0.0002796522,0.00036308],"domain_scores_gemma":[0.9992736,0.00006386626,0.0001543682,0.000339133,0.0001213813,0.00004762781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002185623,0.001254501,0.8429329,0.0007719404,0.000488523,0.0008774296,0.008029732,0.00003836396,0.004485483,0.1027994,0.002035886,0.0341002],"study_design_scores_gemma":[0.002662071,0.0001265466,0.7863035,0.0003471337,0.0001349312,0.00003208221,0.01100015,0.006742691,0.00007115325,0.004603539,0.1873448,0.0006314357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989208,0.0001664858,0.00005533883,0.0009031593,0.0000849138,0.000163887,0.00004209513,0.00005273733,0.09961063],"genre_scores_gemma":[0.9975864,0.00007708617,0.0005763346,0.0004448631,0.0001538148,3.850993e-7,0.00004112609,0.0000185344,0.001101425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1853089,"threshold_uncertainty_score":0.9999735,"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."}}