{"id":"W4327778995","doi":"10.51202/0947-7527-2023-10-048-1","title":"Canada Beef sieht Chancen im EU-Raum","year":2023,"lang":"de","type":"article","venue":"Lebensmittel Zeitung","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; European union; Humanities; Art; Business; International trade","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":[0.0008245544,0.0003211826,0.0002369674,0.0008912575,0.004818575,0.003623525,0.0004860043,0.001140301,0.05939153],"category_scores_gemma":[0.001518645,0.0002012454,0.0002611017,0.001404617,0.0008907684,0.0006946874,0.001744975,0.001613709,0.005081196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01815419,"about_ca_system_score_gemma":0.03532092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8928227,"about_ca_topic_score_gemma":0.9592124,"domain_scores_codex":[0.9985398,0.00007479743,0.00001874927,0.0001591576,0.0006798785,0.0005275367],"domain_scores_gemma":[0.9985268,0.00006604486,0.00004490089,0.00004075026,0.0007175144,0.0006039502],"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":[0.0006790553,0.0001432211,0.03027592,0.0003073746,0.00007960872,0.0007744782,0.001650752,0.0008501255,0.00564967,0.1323137,0.582491,0.2447851],"study_design_scores_gemma":[0.0000150423,0.00003214639,0.01353314,0.00007299712,0.00000980346,0.00004931777,0.0008375086,0.000123893,0.0005938281,0.0009895155,0.9837276,0.00001514239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05931346,0.007318834,0.001644421,0.05557387,0.002718534,0.0001410494,0.006190075,0.000433526,0.8666662],"genre_scores_gemma":[0.2129591,0.004029865,0.001944911,0.008253723,0.0001424886,0.00003348984,0.002010614,0.0001568528,0.770469],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1071773,"threshold_uncertainty_score":0.2156168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685097159239632,"score_gpt":0.2023372656347356,"score_spread":0.1854862940423393,"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."}}