{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007102365,0.000082864,0.0001447968,0.0001561069,0.0002756811,0.00003639419,0.0005034473,0.00003007492,0.000004661643],"category_scores_gemma":[0.00004506973,0.00007361245,0.00003562055,0.000218525,0.0002643674,0.0004384092,0.0003214346,0.0001022057,7.659929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001420562,"about_ca_system_score_gemma":0.00001067103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302968,"about_ca_topic_score_gemma":0.0006215193,"domain_scores_codex":[0.999301,0.0001730648,0.00009258869,0.0001787216,0.0001411503,0.0001134964],"domain_scores_gemma":[0.9992981,0.00005043894,0.0002947402,0.0002490553,0.0001011224,0.000006563588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001392425,0.0003109578,0.9192438,0.0003989513,0.00004336944,0.0001132553,0.05053968,0.0002524804,0.0004443196,0.02021787,0.0002950226,0.008001086],"study_design_scores_gemma":[0.0005574317,0.00000715786,0.8273988,0.0001415109,0.00003332017,0.000002713782,0.1707132,0.0002553838,0.00001129829,0.00006281881,0.0007508926,0.00006549656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899756,0.000017738,0.00005356624,0.001670946,0.00005223362,0.0001327228,0.00000177053,0.000008230616,0.008087236],"genre_scores_gemma":[0.9997764,0.00002479133,0.00004602213,0.00002430022,0.00003342437,6.882561e-12,0.000004368319,0.000002544948,0.00008816575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1201735,"threshold_uncertainty_score":0.4993121,"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."}}