{"id":"W2727470892","doi":"","title":"PRODUCTION OF POULTRY MEAT AND EGGS IN THE REPUBLIC OF CROATIA AND IN THE EUROPEAN UNION","year":2017,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Livestock; Poultry meat; Per capita; Production (economics); European union; Consumption (sociology); Agricultural science; Poultry farming; Agricultural economics; Business; Geography; Biology; Food science; Population; International trade; Economics","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":[0.0008029936,0.0002477166,0.0002051935,0.00133516,0.0002778338,0.0008435143,0.0002605275,0.0002474135,0.001482654],"category_scores_gemma":[0.000551704,0.0001553616,0.0003511806,0.001384843,0.0003942614,0.0003673315,0.0005793419,0.0003271305,0.0003311056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008330521,"about_ca_system_score_gemma":0.001155687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02565658,"about_ca_topic_score_gemma":0.03616961,"domain_scores_codex":[0.9994312,0.00008824844,0.00006810226,0.0001660339,0.0001229473,0.0001234307],"domain_scores_gemma":[0.99931,0.000054296,0.000381116,0.00002646287,0.0001315229,0.00009667702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003672017,0.000197532,0.9417496,0.0003876355,0.0001420964,0.0005735703,0.0007359656,0.0007108978,0.004107725,0.000639842,0.001153831,0.04923403],"study_design_scores_gemma":[0.000003366582,0.00005600824,0.9959671,0.00004837813,0.00001526718,0.0001829561,0.0005085791,0.00009297521,0.0003185204,0.00001057698,0.002791727,0.000004382723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926102,0.002669673,0.0001717158,0.0001168409,0.00002677111,0.00001237039,0.001232762,0.00001067536,0.003149076],"genre_scores_gemma":[0.995331,0.001298086,0.0005277073,0.00005382419,0.000009342803,0.000006411227,0.001179731,0.000007879779,0.001585978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02565658,"threshold_uncertainty_score":0.05101448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226473173024555,"score_gpt":0.1814274456607009,"score_spread":0.1691627139304554,"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."}}