{"id":"W3127021724","doi":"10.1093/af/vfaa053","title":"Impact of COVID-19 on animal production in the Czech Republic","year":2021,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerstvo Zemědělství; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Czech; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Recession; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Production (economics); Geography; Development economics; Political science; Economics; Biology; Medicine; Virology; Outbreak; Macroeconomics","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":[0.001193146,0.0002335383,0.0002591429,0.001013469,0.0004519194,0.002424253,0.0004092664,0.0005083382,0.003563873],"category_scores_gemma":[0.002534952,0.0001355965,0.0003922113,0.001022378,0.0008360206,0.0007350161,0.002129695,0.001005507,0.0002684752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004700959,"about_ca_system_score_gemma":0.004056019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05680903,"about_ca_topic_score_gemma":0.04211236,"domain_scores_codex":[0.9991243,0.000131006,0.00005746369,0.00007999574,0.0002209314,0.0003863476],"domain_scores_gemma":[0.9987425,0.0001904786,0.0004226943,0.0000469616,0.0002476118,0.0003497298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002089998,0.0004366734,0.6230593,0.001290518,0.0006837647,0.008518707,0.001153066,0.07543283,0.01164157,0.1430355,0.04079343,0.09186468],"study_design_scores_gemma":[0.00005288884,0.000294726,0.9162871,0.0004458645,0.0001039781,0.000899507,0.003125919,0.01004653,0.001752449,0.009031254,0.05784728,0.0001124317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203885,0.00747194,0.00106918,0.007712622,0.0001835757,0.00007907322,0.005957838,0.00007388514,0.05706336],"genre_scores_gemma":[0.9954712,0.001411874,0.0001627457,0.0003898744,0.00002088641,0.000008221177,0.0009007877,0.00001020978,0.001624278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05680903,"threshold_uncertainty_score":0.1129568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06069453035213255,"score_gpt":0.3020471014889716,"score_spread":0.2413525711368391,"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."}}