{"meta":{"query_hash":"7a2b7426ac27","filters":{"venue":"Animal Research and One Health"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7a2b7426ac27","api":"https://metacan.xera.ac/api/v1/cohort?venue=Animal+Research+and+One+Health"},"results":[{"id":"W4385900010","doi":"10.1002/aro2.13","title":"Multi‐trait genomic predictions using GBLUP and Bayesian mixture prior model in beef cattle","year":2023,"lang":"en","type":"article","venue":"Animal Research and One Health","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Agricultural Science and Technology Innovation Program; University of California, Davis; Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences; Chinese Academy of Tropical Agricultural Sciences; Chinese Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Heritability; Trait; Best linear unbiased prediction; Genomic selection; Genetic correlation; Bayesian probability; Beef cattle; Statistics; Selection (genetic algorithm); Biology; Animal science; Mathematics; Genetic variation; Genetics; Machine learning; Single-nucleotide polymorphism; Computer science; Genotype","score_opus":0.0933304898414402,"score_gpt":0.3807345665459088,"score_spread":0.2874040767044686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385900010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63352615,0.0011653933,0.36283913,0.00042793443,0.000032154927,0.00003856399,0.00036809267,0.0005729599,0.0010295208],"genre_scores_gemma":[0.9497401,0.00022178712,0.048298217,0.00009579596,0.000023868843,0.000045003904,0.00067733077,0.000054458364,0.00084333617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998686,0.0007005425,0.000043683263,0.0002891447,0.0001785386,0.00010201211],"domain_scores_gemma":[0.9958918,0.0033472436,0.0002076636,0.00013517463,0.00033764026,0.000080421734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005253683,0.0009513756,0.0010248545,0.0014810319,0.00050088245,0.0010577757,0.0009313449,0.0009349038,0.0011870684],"category_scores_gemma":[0.0075041363,0.0005666299,0.0010671213,0.00077533454,0.00043804015,0.00088323024,0.00079117744,0.001045461,0.00023672236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064596237,0.00013241697,0.055993635,0.00009385901,0.00052785804,0.00015053913,0.00014126867,0.8438162,0.0038586103,0.0026124925,0.0008447344,0.09118248],"study_design_scores_gemma":[0.0000098960145,0.000016857528,0.004279231,0.000010055882,0.000029002409,0.000017842036,0.000008712289,0.9943057,0.00028343961,0.00094455684,0.00008286037,0.000011855166],"about_ca_topic_score_codex":0.022381574,"about_ca_topic_score_gemma":0.011807561,"teacher_disagreement_score":0.022381574,"about_ca_system_score_codex":0.0008163794,"about_ca_system_score_gemma":0.0009204881,"threshold_uncertainty_score":0.044502616},"labels":[],"label_agreement":null},{"id":"W4393319458","doi":"10.1002/aro2.58","title":"Developing a liquid capture chip to accelerate the genetic progress of cattle","year":2024,"lang":"en","type":"article","venue":"Animal Research and One Health","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Agricultural Science and Technology Innovation Program; Chinese Academy of Agricultural Sciences","keywords":"Chip; Nanotechnology; Computer science; Business; Biotechnology; Biology; Materials science; Telecommunications","score_opus":0.1071498866843668,"score_gpt":0.4151002576635967,"score_spread":0.3079503709792299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393319458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3693324,0.0035504783,0.6128678,0.0005437456,0.0003835985,0.000349044,0.0042472514,0.0035142414,0.005211474],"genre_scores_gemma":[0.4979614,0.0011571947,0.47895294,0.001556855,0.00010837946,0.0009240838,0.006099026,0.00030911027,0.012931059],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926645,0.00012440862,0.00003372596,0.0002118275,0.00025446466,0.00010917878],"domain_scores_gemma":[0.9995912,0.00017785068,0.00004398748,0.00005091748,0.00010125357,0.000034797788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082224223,0.00044504594,0.0004764791,0.00048061597,0.00021315728,0.0006712315,0.0006782609,0.00051156036,0.00287798],"category_scores_gemma":[0.0007365138,0.00039107777,0.0003659415,0.00034691524,0.00025717483,0.00028261277,0.0005407664,0.00048354798,0.001463795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008689238,0.000035891684,0.002000449,0.0001164964,0.000044224893,0.000023576376,0.000019673791,0.000680757,0.9764499,0.00024747552,0.0009377704,0.0193569],"study_design_scores_gemma":[0.000055469212,0.00053214986,0.03354432,0.000036317564,0.00014990463,0.0002804262,0.00006361487,0.031014943,0.91122293,0.0003859996,0.022631524,0.00008232761],"about_ca_topic_score_codex":0.0014268509,"about_ca_topic_score_gemma":0.0036708047,"teacher_disagreement_score":0.00287798,"about_ca_system_score_codex":0.00038839327,"about_ca_system_score_gemma":0.0003620982,"threshold_uncertainty_score":0.009627819},"labels":[],"label_agreement":null},{"id":"W4401963817","doi":"10.1002/aro2.77","title":"Partially substituting alfalfa hay with hemp forage promotes the health and well‐being of goats via altering ruminal and plasma metabolites and metabolic pathways","year":2024,"lang":"en","type":"article","venue":"Animal Research and One Health","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"High-end Foreign Experts Recruitment Plan of China; Agricultural Science and Technology Innovation Program; Chinese Academy of Agricultural Sciences; Lanzhou University","keywords":"Forage; Hay; Alfalfa hay; Metabolic pathway; Agronomy; Biology; Chemistry; Metabolism; Rumen; Biochemistry","score_opus":0.07662824636211513,"score_gpt":0.32202932532898204,"score_spread":0.24540107896686691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401963817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999297,0.0002950063,0.00021092242,0.000018503122,0.000004131803,0.000004207393,0.00007232868,0.000004528611,0.000093330185],"genre_scores_gemma":[0.9978854,0.00030783346,0.0009864576,0.000041245956,0.0000046842224,0.000014754785,0.00016885603,0.000006630541,0.00058423076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999206,0.000017028704,0.000004296806,0.00002454316,0.000012024584,0.000021524347],"domain_scores_gemma":[0.99990594,0.0000138336745,0.000023806535,0.000009195558,0.000012719299,0.00003444395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015274766,0.00023741562,0.00029499875,0.00025275553,0.00019727039,0.00027274818,0.00014438716,0.00018161073,0.00065032294],"category_scores_gemma":[0.00010697832,0.000108652544,0.00023743689,0.00016501194,0.00025056224,0.00022091978,0.00015809441,0.0003248122,0.00008141274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016813077,0.00009509123,0.0024829817,0.00006306076,0.000033215478,0.00004063758,0.000034714743,0.000031467764,0.9940684,0.000023006109,0.000016546865,0.0014295768],"study_design_scores_gemma":[0.00010050946,0.0056267306,0.24091972,0.000041473482,0.00031880214,0.00031638244,0.00051109015,0.0016179372,0.74738693,0.00018045385,0.0029510625,0.000028898261],"about_ca_topic_score_codex":0.0015714914,"about_ca_topic_score_gemma":0.0030046701,"teacher_disagreement_score":0.0015714914,"about_ca_system_score_codex":0.00021287214,"about_ca_system_score_gemma":0.00026102702,"threshold_uncertainty_score":0.0031246543},"labels":[],"label_agreement":null},{"id":"W4410779663","doi":"10.1002/aro2.70014","title":"Emergence of <i>Staphylococcus aureus</i> Resistance to Antimicrobial Peptides Nisin, NZ2114 and Bacitracin Involves Multiple Phenotypic Changes","year":2025,"lang":"en","type":"article","venue":"Animal Research and One Health","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Nisin; Bacitracin; Staphylococcus aureus; Microbiology; Antimicrobial; Staphylococcus; Lipid II; Phenotype; Biology; Bacteria; Antibiotics; Genetics; Peptidoglycan","score_opus":0.050892678640377005,"score_gpt":0.33469528002651233,"score_spread":0.28380260138613533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410779663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971251,0.00016987452,0.0014121928,0.00006546361,0.000009687215,0.000024267667,0.00034561133,0.000046418798,0.0008013793],"genre_scores_gemma":[0.9955356,0.00011699372,0.0016158419,0.000051992145,0.000003787355,0.000023206248,0.000780779,0.00002838775,0.0018433608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997347,0.000027091335,0.00003291917,0.000049874132,0.00010780737,0.000047624733],"domain_scores_gemma":[0.99982363,0.000025642692,0.000063524705,0.000022479011,0.000029486986,0.00003534418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001094638,0.000392067,0.00025853116,0.00016717974,0.00009982993,0.00029887658,0.00026393821,0.00026074346,0.0010598772],"category_scores_gemma":[0.00018117212,0.00012443723,0.00032851315,0.00012281949,0.00019099575,0.00013268137,0.00037335063,0.00055773096,0.00038912575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018570634,0.000010555921,0.00019001082,0.0000058343608,0.0000018313707,0.00002280566,0.0000041190715,0.000009177845,0.99948764,0.000011249338,0.000006744112,0.00023150454],"study_design_scores_gemma":[0.000004328022,0.00029220976,0.015973765,0.000004975331,0.000009948077,0.0004938167,0.00008491965,0.0005212352,0.9818636,0.000024698395,0.00071853574,0.000007910072],"about_ca_topic_score_codex":0.0012825064,"about_ca_topic_score_gemma":0.0012828422,"teacher_disagreement_score":0.0012825064,"about_ca_system_score_codex":0.0002695722,"about_ca_system_score_gemma":0.00020113491,"threshold_uncertainty_score":0.0035457015},"labels":[],"label_agreement":null}]}