{"meta":{"query_hash":"dffa69ab51a5","filters":{"venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin"},"cohort_total":50,"direct_labels_cover":0,"predictions_cover":50,"exported":50,"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/dffa69ab51a5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Bulletin+-+International+Bull+Evaluation+Service%2FInterbull+bulletin"},"results":[{"id":"W1495895567","doi":"","title":"Genetic diversification of the Holstein breed in Canada and internationally","year":2005,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inbreeding; Breed; Selection (genetic algorithm); Diversification (marketing strategy); Biology; Population; Genetic variation; Dairy cattle; Livestock; Evolutionary biology; Biotechnology; Genetics; Demography; Ecology; Business; Computer science","score_opus":0.012181406262854615,"score_gpt":0.2284955893628247,"score_spread":0.2163141830999701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495895567","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":[0.98069257,0.0023679729,0.00027793265,0.0007456098,0.000024662917,0.000036609606,0.00095093896,0.000018958684,0.01488481],"genre_scores_gemma":[0.9934463,0.0009160538,0.0005112625,0.000102407466,0.000004769278,0.0000057202906,0.00055838434,0.00000816172,0.0044469703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992274,0.00005512087,0.000022002378,0.00017575275,0.0002558812,0.00026386758],"domain_scores_gemma":[0.99890137,0.00003831373,0.00009210948,0.000029635681,0.0006767608,0.00026179635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008484769,0.0002582136,0.00030309072,0.0031903049,0.0033749742,0.0014887042,0.00093084626,0.00031877117,0.0025861238],"category_scores_gemma":[0.0011030944,0.00012211216,0.0001945093,0.0055015646,0.0009396166,0.00032043448,0.0006724368,0.00046895305,0.00017079849],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043385185,0.000055313307,0.803243,0.00010774316,0.00015458683,0.0012362979,0.010746025,0.0006726473,0.007476369,0.005980844,0.0046561295,0.16523726],"study_design_scores_gemma":[0.00000910516,0.000025612126,0.9895968,0.00004790961,0.000018218789,0.00019918657,0.0025830881,0.00016281975,0.00014717509,0.00012768562,0.007067939,0.000014587935],"about_ca_topic_score_codex":0.9869954,"about_ca_topic_score_gemma":0.99632,"teacher_disagreement_score":0.02092997,"about_ca_system_score_codex":0.02092997,"about_ca_system_score_gemma":0.02226691,"threshold_uncertainty_score":0.15185827},"labels":[],"label_agreement":null},{"id":"W1498304624","doi":"","title":"Accounting for the effect of pregnancy in the Canadian test day model","year":2008,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pregnancy; Gestation; Fetus; Nutrient; Early pregnancy factor; Animal science; Obstetrics; Biology; Medicine; Ecology","score_opus":0.04417179874066016,"score_gpt":0.28040815939921093,"score_spread":0.23623636065855078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498304624","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":[0.6696981,0.0025721835,0.22155198,0.0041781687,0.0014569167,0.0009458154,0.03590044,0.0029650636,0.06073137],"genre_scores_gemma":[0.92043185,0.00063408475,0.04066911,0.0006640349,0.000088682325,0.0004032837,0.006567946,0.00049559533,0.030045453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99748224,0.0007329249,0.00009081753,0.00042022608,0.0006421409,0.00063168886],"domain_scores_gemma":[0.993923,0.0025419975,0.00050086365,0.0005372261,0.001960094,0.0005368619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039678877,0.0011636424,0.0011159702,0.0012272403,0.0016595521,0.0017810202,0.006213131,0.0011424152,0.010380659],"category_scores_gemma":[0.0111115705,0.00049631525,0.0015947548,0.0019087655,0.0009590481,0.0009548527,0.0013327422,0.002262231,0.0009318703],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023028746,0.00041691127,0.22277197,0.00032864365,0.0013691429,0.00064968603,0.00044090283,0.58143735,0.004080952,0.06416668,0.047765482,0.074269466],"study_design_scores_gemma":[0.00022886788,0.0003252937,0.09554555,0.00008823912,0.0007277173,0.00023669387,0.00027536423,0.8444082,0.001806322,0.007908127,0.048252176,0.00019732185],"about_ca_topic_score_codex":0.9102347,"about_ca_topic_score_gemma":0.8763166,"teacher_disagreement_score":0.08976531,"about_ca_system_score_codex":0.012453975,"about_ca_system_score_gemma":0.025135571,"threshold_uncertainty_score":0.18058789},"labels":[],"label_agreement":null},{"id":"W1499792105","doi":"","title":"Simultaneous and recursive random regression models for milk yield and somatic cell score in Canadian Holsteins","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lactation; Regression; Trait; Statistics; Regression analysis; Yield (engineering); Mathematics; Random effects model; Linear regression; Biology; Stepwise regression; Animal science; Internal medicine; Medicine; Genetics; Computer science; Pregnancy","score_opus":0.020300951115615095,"score_gpt":0.26784646536172757,"score_spread":0.24754551424611249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499792105","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":[0.9282393,0.0010704594,0.06124332,0.00059884886,0.000054575856,0.00014993976,0.004345382,0.00076887815,0.003529388],"genre_scores_gemma":[0.95983243,0.0005281666,0.018111877,0.00009540964,0.00002247513,0.00017934147,0.0044447044,0.00020758038,0.016578129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99703157,0.0008784979,0.000114521456,0.000971325,0.00031757107,0.00068638404],"domain_scores_gemma":[0.99526167,0.002691239,0.00052622025,0.00035338406,0.0009428884,0.00022464954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063387984,0.0016400331,0.0016481825,0.0017771409,0.0011195623,0.0017205571,0.004881596,0.001163848,0.0041563013],"category_scores_gemma":[0.008473994,0.0010475287,0.0030583804,0.0021556325,0.0014155289,0.00078019866,0.0010115048,0.0013186346,0.0006943948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012998185,0.00017457714,0.09332145,0.00020441107,0.0015380842,0.00078974705,0.0010251162,0.81121767,0.0035276213,0.02780485,0.004127756,0.054968856],"study_design_scores_gemma":[0.00015441218,0.00015781519,0.08779744,0.000054643904,0.000586975,0.0001239541,0.00023156374,0.9009327,0.0005250029,0.0056654774,0.0035893212,0.00018063928],"about_ca_topic_score_codex":0.9169061,"about_ca_topic_score_gemma":0.88809913,"teacher_disagreement_score":0.08309388,"about_ca_system_score_codex":0.012229663,"about_ca_system_score_gemma":0.0101324245,"threshold_uncertainty_score":0.16716641},"labels":[],"label_agreement":null},{"id":"W1508667046","doi":"","title":"Accuracy of international evaluations in predicting French estimated breeding values of foreign Holstein bulls","year":2006,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Udder; Standard deviation; Animal science; Biology; European union; Statistics; Mathematics; Economics","score_opus":0.026552891985033817,"score_gpt":0.3100935660991554,"score_spread":0.2835406741141216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508667046","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":[0.9959208,0.00030153833,0.0012182083,0.000024452678,0.0000071949385,0.000003981882,0.00023991903,0.000021038115,0.0022627437],"genre_scores_gemma":[0.9985898,0.0000761358,0.0005984223,0.000012731761,0.0000042889837,0.0000026433495,0.00030095037,0.000008166975,0.0004069343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915695,0.00044547,0.00004077842,0.00017484247,0.000096524775,0.00008555154],"domain_scores_gemma":[0.99822694,0.00084902125,0.0003432146,0.00016798849,0.00028636615,0.00012653813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021280593,0.0003287212,0.00020746174,0.0007684624,0.00017597748,0.0007997227,0.00014342033,0.0002108127,0.0010074227],"category_scores_gemma":[0.0026922827,0.00007779993,0.00032636357,0.00043310993,0.00023182563,0.00031474867,0.00027633278,0.00021194942,0.00025790313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016826589,0.00001547948,0.9775285,0.00001319214,0.00014154821,0.00007777587,0.0003411831,0.0009957656,0.0021774902,0.00013305864,0.00018489471,0.018222706],"study_design_scores_gemma":[0.000003090613,0.000081557264,0.99634886,0.000014116412,0.00006432708,0.00008800338,0.00023798988,0.0017153586,0.00066366984,0.00004414407,0.000730816,0.000008044716],"about_ca_topic_score_codex":0.022811001,"about_ca_topic_score_gemma":0.03605623,"teacher_disagreement_score":0.022811001,"about_ca_system_score_codex":0.00044775422,"about_ca_system_score_gemma":0.00022029884,"threshold_uncertainty_score":0.045356452},"labels":[],"label_agreement":null},{"id":"W1512636111","doi":"","title":"Genetic evaluation of female fertility in Canadian dairy breeds","year":2004,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trait; Fertility; Livestock; Biology; Dairy cattle; Genetic resources; Geography; Demography; Biotechnology; Animal science; Computer science; Ecology; Population","score_opus":0.028535668372856978,"score_gpt":0.2923130478435324,"score_spread":0.2637773794706754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512636111","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":[0.99020153,0.00059400214,0.0014041559,0.000113802256,0.000008541977,0.000047647318,0.0026477817,0.000043655848,0.0049389387],"genre_scores_gemma":[0.9909332,0.00049527705,0.0030663908,0.000044489316,0.000004372376,0.000024239478,0.002161247,0.000023335833,0.003247473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986481,0.00013510931,0.000034365996,0.00019274242,0.0008459035,0.00014369097],"domain_scores_gemma":[0.9988763,0.00012277998,0.00012133961,0.00005503349,0.0007042829,0.00012023182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019375309,0.0003002612,0.00030736424,0.0026957288,0.001408678,0.0005573002,0.0007809481,0.00019150213,0.0012532442],"category_scores_gemma":[0.0018683982,0.00015033256,0.00032944058,0.0025156203,0.0005092009,0.0001149177,0.0003668785,0.0002550716,0.00015388134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005141676,0.000083445026,0.8877403,0.0000566925,0.00025991947,0.0006741499,0.0015769567,0.001390472,0.02477883,0.0011723156,0.0021763071,0.07957634],"study_design_scores_gemma":[0.0000072440776,0.000045698216,0.99541664,0.0000067174624,0.000032356224,0.00013847192,0.00020445316,0.0005581736,0.0012864452,0.00004708983,0.0022457207,0.000011013649],"about_ca_topic_score_codex":0.9544694,"about_ca_topic_score_gemma":0.9785307,"teacher_disagreement_score":0.045530617,"about_ca_system_score_codex":0.011483262,"about_ca_system_score_gemma":0.0076474883,"threshold_uncertainty_score":0.09159744},"labels":[],"label_agreement":null},{"id":"W1513497539","doi":"","title":"The Canadian test day model using Legendre polynomials","year":2003,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legendre polynomials; Test (biology); Mathematics; Test plan; Statistics; Animal science; Biology; Ecology; Mathematical analysis","score_opus":0.0334014338163402,"score_gpt":0.2870575588356508,"score_spread":0.2536561250193106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513497539","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":[0.0634995,0.0006633989,0.9010802,0.0011284697,0.00042139494,0.00023299064,0.0030455277,0.0020499704,0.027878543],"genre_scores_gemma":[0.79062426,0.001208091,0.13024524,0.00035112168,0.00021261376,0.00035969657,0.004845093,0.0009747076,0.07117906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979954,0.0005435424,0.00005315032,0.0003125394,0.00062260474,0.00047277092],"domain_scores_gemma":[0.99613935,0.001174448,0.00029657455,0.00035523498,0.0018398224,0.00019466368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033808306,0.0012607967,0.0008257039,0.0016739483,0.00151849,0.0022886961,0.0031264443,0.0012139302,0.007703086],"category_scores_gemma":[0.010724636,0.00058722805,0.0016104699,0.0028305626,0.0013595121,0.001526393,0.0009613965,0.0021676414,0.002581503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029286765,0.00005078111,0.008235014,0.00008253097,0.00012915625,0.00020300322,0.000271617,0.78068304,0.0010009833,0.14229256,0.01897587,0.04778251],"study_design_scores_gemma":[0.000019564864,0.000022512517,0.0027818359,0.000011706616,0.00002643103,0.00004394901,0.0000507795,0.9742634,0.00029117404,0.013882402,0.0085442215,0.0000618947],"about_ca_topic_score_codex":0.6607219,"about_ca_topic_score_gemma":0.513765,"teacher_disagreement_score":0.3392781,"about_ca_system_score_codex":0.006114508,"about_ca_system_score_gemma":0.0086112805,"threshold_uncertainty_score":0.68255234},"labels":[],"label_agreement":null},{"id":"W1530157579","doi":"","title":"Multiple-lactation random regression test-day model for Polish Black and White cattle","year":2004,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agriculture; White (mutation); Animal breeding; Geography; Animal science; Biology; Agricultural science; Veterinary medicine; Forestry; Medicine; Genetics; Archaeology","score_opus":0.022085207502383374,"score_gpt":0.2855950672978279,"score_spread":0.26350985979544456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530157579","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":[0.63534266,0.002185807,0.34583944,0.0018388489,0.00033942796,0.0003536566,0.0073441346,0.0014163571,0.005339539],"genre_scores_gemma":[0.9312092,0.0006494312,0.02866845,0.00016822745,0.000118370124,0.0006090149,0.0064952075,0.00035782985,0.031724334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99805033,0.0010033309,0.00006900433,0.0004299355,0.00012958194,0.00031782704],"domain_scores_gemma":[0.9954104,0.0033162863,0.00038487848,0.00029097736,0.00038731677,0.000210262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008736154,0.0013682037,0.0020204815,0.0010685205,0.0005948761,0.0014801606,0.0036657578,0.0015932658,0.011091088],"category_scores_gemma":[0.008925056,0.00090315635,0.0017950578,0.001142474,0.0006086674,0.00097496953,0.0009561632,0.0021096908,0.0024790238],"study_design_candidate":"observational","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":[0.006370525,0.00085490226,0.106665924,0.00045700354,0.0028694535,0.0015208238,0.00051128987,0.7095292,0.003156771,0.019639261,0.01030168,0.13812315],"study_design_scores_gemma":[0.00017150825,0.00024358786,0.018936384,0.00003538345,0.00025681822,0.0001631653,0.00007149276,0.97378266,0.00025076783,0.003823108,0.0022337642,0.0000313765],"about_ca_topic_score_codex":0.022339476,"about_ca_topic_score_gemma":0.018338297,"teacher_disagreement_score":0.022339476,"about_ca_system_score_codex":0.0010299988,"about_ca_system_score_gemma":0.001349901,"threshold_uncertainty_score":0.046201706},"labels":[],"label_agreement":null},{"id":"W1546258692","doi":"","title":"Canadian implementation of genomic evaluations","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breed; Genomic information; Genomic selection; Biology; Biotechnology; Geography; Genetics; Genome; Gene; Genotype","score_opus":0.016753262617948995,"score_gpt":0.3162653774104917,"score_spread":0.2995121147925427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546258692","genre_codex":"other","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":[0.10354227,0.007117227,0.017308658,0.08000809,0.0037716022,0.0043428703,0.029354611,0.0042279596,0.75032675],"genre_scores_gemma":[0.44010028,0.006694274,0.053890347,0.028901137,0.00042326367,0.0014319473,0.01811062,0.0011858774,0.44926226],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9630983,0.0038284087,0.001444581,0.0023904406,0.022446305,0.006791983],"domain_scores_gemma":[0.8587984,0.004660377,0.0020696642,0.0038569672,0.11874105,0.011873589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022011641,0.00076280546,0.0005942525,0.0057971207,0.009348323,0.0064457413,0.0037337383,0.0017138436,0.01177685],"category_scores_gemma":[0.035460815,0.0009083876,0.0006217269,0.005313357,0.0026114488,0.0012405644,0.0039076917,0.003523651,0.0017808912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004197911,0.00035659297,0.042876046,0.00053486857,0.00011435388,0.00077232794,0.0061455327,0.0016612541,0.004547877,0.054913938,0.607329,0.28032842],"study_design_scores_gemma":[0.0000566766,0.00010665341,0.120996736,0.00024464485,0.000047580146,0.00011256963,0.002072608,0.00070443103,0.0015823155,0.0011473126,0.87278426,0.00014430578],"about_ca_topic_score_codex":0.9921624,"about_ca_topic_score_gemma":0.9951757,"teacher_disagreement_score":0.12081117,"about_ca_system_score_codex":0.12081117,"about_ca_system_score_gemma":0.4283159,"threshold_uncertainty_score":0.8765505},"labels":[],"label_agreement":null},{"id":"W1554883658","doi":"","title":"Pro$: A New Profit-Based Genetic Selection Index in Canada","year":2015,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Network; Canadian Dairy Commission","funders":"","keywords":"Sire; Profitability index; Profit (economics); Herd; Breed; Agricultural science; Revenue; Net profit; Business; Economics; Statistics; Mathematics; Animal science; Finance; Biology; Microeconomics","score_opus":0.029530394277481702,"score_gpt":0.2683414396074057,"score_spread":0.238811045329924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554883658","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7705478,0.0032139285,0.047614526,0.0020933188,0.00029000652,0.0006139341,0.08583637,0.0015274131,0.08826263],"genre_scores_gemma":[0.8831418,0.0016639839,0.04140321,0.00036549493,0.00004522914,0.0003592644,0.041727245,0.00026004075,0.031033624],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988507,0.00009271502,0.000054867116,0.0001341306,0.0007213381,0.00014616837],"domain_scores_gemma":[0.99777955,0.000110303474,0.00018655662,0.000058821617,0.001635036,0.00022982774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010950847,0.0004906193,0.00038519013,0.0028000148,0.000821317,0.0009662542,0.00084252347,0.00019794927,0.0026229776],"category_scores_gemma":[0.0022982091,0.00017212341,0.00037423315,0.004204515,0.00038955445,0.00036678935,0.0006763651,0.0005101546,0.00041632482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057642243,0.00010980556,0.4937398,0.00020057941,0.00025153518,0.0002678665,0.0006056001,0.009963121,0.0038327354,0.009644852,0.066159315,0.41464838],"study_design_scores_gemma":[0.000038484603,0.00011309765,0.9219432,0.000050772072,0.000044959943,0.00015776655,0.00023539699,0.016002377,0.0010005826,0.0011083646,0.059235077,0.00006992874],"about_ca_topic_score_codex":0.9596691,"about_ca_topic_score_gemma":0.96338505,"teacher_disagreement_score":0.040330887,"about_ca_system_score_codex":0.016928049,"about_ca_system_score_gemma":0.022451004,"threshold_uncertainty_score":0.122822165},"labels":[],"label_agreement":null},{"id":"W1567790691","doi":"","title":"GMACE Reliability Approximation","year":2013,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Sire; Reliability (semiconductor); Statistics; Estimation; Mathematics; Variance (accounting); Econometrics; Animal science; Economics; Physics; Biology","score_opus":0.016034598399256996,"score_gpt":0.2655651822625305,"score_spread":0.2495305838632735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567790691","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":[0.03063552,0.00047134573,0.9570137,0.00027863315,0.000119734315,0.00010246871,0.0019183763,0.0016323369,0.007827904],"genre_scores_gemma":[0.64753294,0.0005630911,0.33261698,0.00041400682,0.00019382783,0.0005127971,0.008119178,0.0013035411,0.008743645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99361914,0.002707837,0.00033328676,0.0017840313,0.0011380772,0.000417542],"domain_scores_gemma":[0.9749648,0.013258064,0.0013371565,0.0058175507,0.004364526,0.00025796387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0091990335,0.0015392407,0.001430859,0.0024216324,0.00068723195,0.0022317434,0.0027772458,0.0011101015,0.009183232],"category_scores_gemma":[0.063659,0.0007191467,0.0020964833,0.002481573,0.0010702091,0.0022137286,0.0024758878,0.002775791,0.00480581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000440839,0.00007697895,0.03271805,0.0003934309,0.0006125138,0.0004211388,0.0010515671,0.6690945,0.0025488136,0.055599187,0.018819649,0.21822333],"study_design_scores_gemma":[0.000023029015,0.000075654905,0.012349508,0.00015130657,0.00007414252,0.00035872115,0.00021717882,0.9217232,0.0021896234,0.048599925,0.014168728,0.00006907403],"about_ca_topic_score_codex":0.011858523,"about_ca_topic_score_gemma":0.006353881,"teacher_disagreement_score":0.011858523,"about_ca_system_score_codex":0.0012785522,"about_ca_system_score_gemma":0.0013791162,"threshold_uncertainty_score":0.04864973},"labels":[],"label_agreement":null},{"id":"W1568183257","doi":"","title":"Accuracy of MACE evaluation for composite type traits compared to prediction based on linear traits","year":2004,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Brown Swiss; Trait; Breed; Mace; Biology; Linear regression; Statistics; Animal science; Mathematics; Computer science; Internal medicine; Medicine","score_opus":0.06664068173324204,"score_gpt":0.32240703198783977,"score_spread":0.2557663502545977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568183257","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":[0.919031,0.002334462,0.046077006,0.00032544986,0.00023535962,0.00008489802,0.006331328,0.004089596,0.021490952],"genre_scores_gemma":[0.9807402,0.00020335286,0.009710832,0.00006915863,0.000030613857,0.000022152033,0.00410244,0.00023128165,0.0048898794],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957415,0.0014726162,0.00024465364,0.0012375613,0.0010712479,0.00023243221],"domain_scores_gemma":[0.97276706,0.017629633,0.0017018548,0.0022572547,0.005010236,0.0006339206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0100685395,0.00091219257,0.0008118628,0.0024801053,0.00031095685,0.0019134416,0.00074113323,0.00061532727,0.0047096796],"category_scores_gemma":[0.025187572,0.00022289506,0.000799512,0.0008665931,0.00044164935,0.001358024,0.00088463293,0.00056214834,0.0033250866],"study_design_candidate":"simulation_or_modeling","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":[0.0024781222,0.0001515475,0.8272881,0.00017452828,0.00087790017,0.00015141776,0.00032457968,0.014903059,0.007074847,0.00060745823,0.0059573282,0.14001107],"study_design_scores_gemma":[0.00006454285,0.0006987127,0.8359575,0.00010228347,0.00029672642,0.00041743016,0.00036900176,0.14380223,0.008680404,0.0010785093,0.008420154,0.00011245303],"about_ca_topic_score_codex":0.009181978,"about_ca_topic_score_gemma":0.011034251,"teacher_disagreement_score":0.0100685395,"about_ca_system_score_codex":0.0005165285,"about_ca_system_score_gemma":0.00035421984,"threshold_uncertainty_score":0.053248167},"labels":[],"label_agreement":null},{"id":"W1570450173","doi":"","title":"Use of MACE Results as Input for Genomic Models","year":2011,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mace; SNP; Computer science; Statistics; Biology; Genotype; Mathematics; Genetics; Medicine; Single-nucleotide polymorphism; Gene; Internal medicine","score_opus":0.10173215072103522,"score_gpt":0.29727148635721024,"score_spread":0.195539335636175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570450173","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":[0.031585958,0.00020815176,0.9263241,0.0009736827,0.00023002648,0.00019306247,0.007931562,0.01843115,0.014122174],"genre_scores_gemma":[0.3758127,0.00034028286,0.59980536,0.0002885925,0.0001322871,0.00048607308,0.013082517,0.0042952574,0.0057569146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99447376,0.00303952,0.00038616304,0.0008108808,0.001157828,0.00013183129],"domain_scores_gemma":[0.9462743,0.034681723,0.002195248,0.008550726,0.007979172,0.00031881945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013438581,0.0011533529,0.00091008947,0.0027448314,0.0005244004,0.0036018246,0.0014080917,0.0007718186,0.015502731],"category_scores_gemma":[0.08144099,0.0007320396,0.0013125383,0.0015568185,0.00052237464,0.0026263164,0.0021863116,0.0016572848,0.004725152],"study_design_candidate":"simulation_or_modeling","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":[0.0013073671,0.00025656796,0.044415627,0.0007959331,0.0006334105,0.0010229232,0.0016606216,0.37041715,0.0060525998,0.09285901,0.062068883,0.41850996],"study_design_scores_gemma":[0.00010840578,0.00018491075,0.011326261,0.00021855341,0.00012835454,0.0003031157,0.00036300416,0.848291,0.009832752,0.05854293,0.07055684,0.00014382652],"about_ca_topic_score_codex":0.0033784278,"about_ca_topic_score_gemma":0.0023312278,"teacher_disagreement_score":0.015502731,"about_ca_system_score_codex":0.0013035069,"about_ca_system_score_gemma":0.0011002702,"threshold_uncertainty_score":0.07107085},"labels":[],"label_agreement":null},{"id":"W1576845736","doi":"","title":"International Genomic Cooperation - North American Perspective","year":2010,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genomic selection; Genomic information; Estimation; Genomics; SNP; Biotechnology; Geography; Biology; Genotype; Genome; Genetics; Single-nucleotide polymorphism; Engineering","score_opus":0.012312699906761702,"score_gpt":0.27893345525292274,"score_spread":0.26662075534616103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576845736","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010165037,0.10287934,0.0022066552,0.23783998,0.007042986,0.000051342387,0.0010803639,0.00019906828,0.6385352],"genre_scores_gemma":[0.3567114,0.15588193,0.010740724,0.13437843,0.005022455,0.00027110107,0.0021245552,0.00019088984,0.33467856],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973194,0.00079748634,0.00008335099,0.00036129451,0.0005241516,0.00091430655],"domain_scores_gemma":[0.9969441,0.0006335904,0.00030535154,0.00016456934,0.000867045,0.0010852673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046315114,0.00054793555,0.0002847687,0.0017332211,0.0029172227,0.005195031,0.0010999804,0.0030921472,0.020966364],"category_scores_gemma":[0.0024105932,0.00018826625,0.00018552445,0.004624298,0.002433633,0.0034890368,0.003529652,0.0031723618,0.0018407002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064520864,0.00015332519,0.00570648,0.00038317122,0.000024484736,0.0004656996,0.0031891237,0.00029806801,0.0005121674,0.35717598,0.4414198,0.19060723],"study_design_scores_gemma":[0.000003957667,0.000013493624,0.006325218,0.00022348903,0.0000051935604,0.00013140785,0.0019485365,0.000031834385,0.000051442148,0.0060669156,0.9851913,0.000007354162],"about_ca_topic_score_codex":0.07080797,"about_ca_topic_score_gemma":0.07767966,"teacher_disagreement_score":0.929192,"about_ca_system_score_codex":0.005258724,"about_ca_system_score_gemma":0.015948588,"threshold_uncertainty_score":0.14079165},"labels":[],"label_agreement":null},{"id":"W1586046891","doi":"","title":"GMACE without variance estimation","year":2014,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Variance (accounting); Consistency (knowledge bases); Estimation; Biology; Computer science; Econometrics; Statistics; Mathematics; Business; Economics; Artificial intelligence","score_opus":0.015263720606734447,"score_gpt":0.28160075459461836,"score_spread":0.26633703398788394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586046891","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031670516,0.00051494275,0.9580338,0.00031296274,0.00038641464,0.00023662968,0.008318489,0.021910325,0.007119464],"genre_scores_gemma":[0.044123176,0.0004909565,0.90627664,0.0006143708,0.00022850637,0.001067765,0.016540842,0.015765088,0.014892679],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946227,0.0024210853,0.00033083145,0.0014308024,0.00084962964,0.0003449811],"domain_scores_gemma":[0.9858584,0.008897636,0.00046082473,0.0030476714,0.0015731232,0.00016236346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009639036,0.0029959634,0.0025226756,0.002784858,0.0011431283,0.0037065956,0.0039489614,0.0023510419,0.08881512],"category_scores_gemma":[0.04480917,0.001639037,0.0043402263,0.003389809,0.0010436206,0.0028816632,0.003692062,0.0045166826,0.03519628],"study_design_candidate":"simulation_or_modeling","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":[0.00090590725,0.00033136283,0.009098272,0.00208937,0.0022674296,0.0009061275,0.00066821557,0.083972625,0.005553484,0.1000322,0.17073546,0.6234395],"study_design_scores_gemma":[0.00039410382,0.00026679575,0.007010032,0.00045869584,0.0006106491,0.00063289946,0.0003853296,0.37223676,0.0096626645,0.1669697,0.44114208,0.000230282],"about_ca_topic_score_codex":0.007968841,"about_ca_topic_score_gemma":0.011706154,"teacher_disagreement_score":0.08881512,"about_ca_system_score_codex":0.0009718835,"about_ca_system_score_gemma":0.0034715913,"threshold_uncertainty_score":0.29711616},"labels":[],"label_agreement":null},{"id":"W1588720288","doi":"","title":"Establishment of a single national selection index for Canada","year":2001,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Index (typography); Best linear unbiased prediction; Index selection; Ranking (information retrieval); Biology; Genetic gain; Statistics; Biotechnology; Demography; Animal science; Genetic variation; Mathematics; Genetics; Computer science","score_opus":0.022679626503396805,"score_gpt":0.2727845260397402,"score_spread":0.2501048995363434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588720288","genre_codex":"other","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":[0.34381554,0.005682513,0.14472121,0.0066783545,0.0012831573,0.0077075614,0.079116695,0.005291941,0.40570298],"genre_scores_gemma":[0.5065425,0.0035854178,0.3143402,0.0014666392,0.00013343783,0.0033652536,0.053163253,0.0008947155,0.1165086],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974546,0.00018409474,0.00011468767,0.00026205045,0.0016300047,0.0003545625],"domain_scores_gemma":[0.98769647,0.00016230604,0.00026523758,0.00021258098,0.010816066,0.00084725115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032000334,0.0005430513,0.0006015486,0.004411464,0.0022544672,0.0012559509,0.0015238777,0.00024456534,0.0046713017],"category_scores_gemma":[0.003715261,0.00026303058,0.00045324294,0.0047919573,0.000403231,0.0004377588,0.0010566743,0.00085386826,0.001120063],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003261156,0.00023886061,0.13728459,0.00022797109,0.0001322632,0.00015205002,0.0007563039,0.0031023957,0.0055277077,0.014417007,0.11066483,0.72716993],"study_design_scores_gemma":[0.00009839692,0.00031628466,0.56917864,0.00024146929,0.00010197264,0.00024412606,0.00060583744,0.016592162,0.004754944,0.001094777,0.40662304,0.00014838885],"about_ca_topic_score_codex":0.96806484,"about_ca_topic_score_gemma":0.978357,"teacher_disagreement_score":0.031935155,"about_ca_system_score_codex":0.026403202,"about_ca_system_score_gemma":0.06784873,"threshold_uncertainty_score":0.19156957},"labels":[],"label_agreement":null},{"id":"W1594093967","doi":"","title":"Genetic and genomic analysis of superovulatory response in Canadian Holsteins","year":2015,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Heritability; Biology; Embryo; Animal science; Selection (genetic algorithm); Andrology; Genetics; Medicine","score_opus":0.024399487034723423,"score_gpt":0.27752454291306283,"score_spread":0.2531250558783394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594093967","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":[0.997168,0.00014086587,0.00042237906,0.000023316456,0.0000021118478,0.00001913257,0.0013887631,0.000008400947,0.0008269576],"genre_scores_gemma":[0.9945152,0.00017235195,0.0013106138,0.0000297057,0.0000026636003,0.000019151166,0.0022737673,0.000012077821,0.0016644798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990429,0.00007649268,0.000026534832,0.00022960862,0.00040961997,0.00021483471],"domain_scores_gemma":[0.99899083,0.00015630649,0.00019973305,0.00005781615,0.0004359822,0.00015938192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078092207,0.0003001882,0.00042325142,0.002219677,0.0012230066,0.0006188331,0.00063485384,0.00023990223,0.0014849917],"category_scores_gemma":[0.0012117085,0.00013027222,0.00046941056,0.0038518219,0.0004591676,0.00011008275,0.00036919522,0.00037949975,0.00012566888],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004644342,0.00010440909,0.93973625,0.000056916393,0.00027982923,0.0004447743,0.0022718029,0.00091622357,0.024588272,0.0003960608,0.0005839505,0.0301571],"study_design_scores_gemma":[0.0000013008852,0.0000191758,0.9990552,0.000003041457,0.00001261936,0.000023840807,0.00017446559,0.00018958913,0.00016848116,0.0000087218405,0.00033986615,0.0000035494743],"about_ca_topic_score_codex":0.92305666,"about_ca_topic_score_gemma":0.9651428,"teacher_disagreement_score":0.07694334,"about_ca_system_score_codex":0.006886715,"about_ca_system_score_gemma":0.0061682845,"threshold_uncertainty_score":0.1547929},"labels":[],"label_agreement":null},{"id":"W1603707930","doi":"","title":"Robust GMACE for young bulls - methodology","year":2012,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Statistics; Mathematics; Range (aeronautics); Mace; Variance (accounting); Best linear unbiased prediction; Econometrics; Selection (genetic algorithm); Computer science","score_opus":0.10691321170298616,"score_gpt":0.338946676945169,"score_spread":0.23203346524218282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603707930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005486724,0.0002552273,0.9906583,0.00003485406,0.00002716638,0.00010711343,0.0006900331,0.0016672084,0.0010733886],"genre_scores_gemma":[0.0670979,0.0002613823,0.9223944,0.00011988347,0.000063660525,0.00056902575,0.004471745,0.0018117063,0.0032101916],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99801135,0.0006310128,0.000100319456,0.0006983219,0.00041711572,0.00014191864],"domain_scores_gemma":[0.9972722,0.0013056486,0.00026156136,0.00058256224,0.00052331464,0.00005466184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062898872,0.0012829395,0.001503414,0.0020711836,0.00046293088,0.0013574623,0.0029551506,0.00076105417,0.0111433985],"category_scores_gemma":[0.011693721,0.0007508687,0.0024133252,0.0013671806,0.0004697906,0.00097636675,0.002805156,0.0018529015,0.0028696395],"study_design_candidate":"theoretical_or_conceptual","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":[0.00033794495,0.00010407943,0.01597322,0.0009958938,0.0015164634,0.00033541836,0.00035769987,0.19103156,0.014014204,0.045790855,0.013828093,0.7157145],"study_design_scores_gemma":[0.00008926873,0.0002845959,0.023178983,0.00023784752,0.0003999101,0.0006915988,0.00022552219,0.8304052,0.017743045,0.064547434,0.062023878,0.00017282073],"about_ca_topic_score_codex":0.004328318,"about_ca_topic_score_gemma":0.0041619297,"teacher_disagreement_score":0.0111433985,"about_ca_system_score_codex":0.0007644155,"about_ca_system_score_gemma":0.0012258552,"threshold_uncertainty_score":0.037278354},"labels":[],"label_agreement":null},{"id":"W1604025699","doi":"","title":"GMACE pilot #4: Adjusting the national reliability input data","year":2014,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Reliability (semiconductor); Standardization; Consistency (knowledge bases); Predictability; Statistics; Trait; Econometrics; National standard; Computer science; Mathematics; Reliability engineering; Biology; Engineering; Food science; Artificial intelligence","score_opus":0.06583547744049167,"score_gpt":0.3230196397613228,"score_spread":0.25718416232083113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604025699","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":[0.39698282,0.00028425135,0.5462767,0.00094208133,0.0003629987,0.004459817,0.011596391,0.0077769463,0.031318016],"genre_scores_gemma":[0.4999767,0.00012744383,0.46902573,0.00038184735,0.000055269156,0.0040206485,0.014209843,0.002939606,0.009262818],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9891423,0.0060031703,0.00056157215,0.0012332974,0.0025243496,0.0005352507],"domain_scores_gemma":[0.9543663,0.019181006,0.0018712928,0.009143401,0.014988355,0.00044964725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031266678,0.0012369025,0.00078541663,0.0014402776,0.00076446135,0.001830575,0.0018743834,0.00056806614,0.007058329],"category_scores_gemma":[0.07348315,0.0006891231,0.0013342522,0.0018719692,0.00063748856,0.0017834685,0.0030137415,0.0023049365,0.0023318024],"study_design_candidate":"simulation_or_modeling","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":[0.0035230522,0.0018951416,0.16396819,0.001267664,0.0007917333,0.00030466644,0.0036950652,0.1339299,0.02718818,0.014904701,0.052059233,0.5964725],"study_design_scores_gemma":[0.0012070993,0.004692155,0.4167908,0.0005884621,0.00060590863,0.0003781702,0.0024389867,0.29119447,0.11191899,0.014707078,0.15507872,0.00039908578],"about_ca_topic_score_codex":0.014015187,"about_ca_topic_score_gemma":0.011895642,"teacher_disagreement_score":0.031266678,"about_ca_system_score_codex":0.0013815745,"about_ca_system_score_gemma":0.0025687572,"threshold_uncertainty_score":0.16535598},"labels":[],"label_agreement":null},{"id":"W1605044531","doi":"","title":"GMACE variance estimation","year":2013,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Statistics; Variance (accounting); Estimation; Covariance; Mathematics; Econometrics; Mace; Economics","score_opus":0.015547481849346874,"score_gpt":0.2719633528796789,"score_spread":0.256415871030332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605044531","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015917094,0.00028470292,0.96609026,0.00010722256,0.0001621364,0.00035936525,0.0065562874,0.004757067,0.0057658367],"genre_scores_gemma":[0.12332456,0.00027202952,0.8362843,0.00019917123,0.00008996909,0.0013839036,0.01948259,0.0041058687,0.01485765],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961695,0.0011588449,0.0002552466,0.001325169,0.00090708345,0.0001842539],"domain_scores_gemma":[0.99136215,0.0039725127,0.00048970553,0.0018892635,0.0022092457,0.00007707977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006049678,0.0016143741,0.0014109974,0.0027578177,0.0007651049,0.002386453,0.0023727494,0.001078153,0.029338412],"category_scores_gemma":[0.028896539,0.0007633116,0.0024707983,0.0025682417,0.00054749806,0.0015004491,0.0018968135,0.0021453225,0.00890602],"study_design_candidate":"simulation_or_modeling","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":[0.00034887888,0.00018682977,0.038817815,0.0009666786,0.0013012611,0.00038144362,0.0010053208,0.0923796,0.012603099,0.04338585,0.050006267,0.75861704],"study_design_scores_gemma":[0.00013231703,0.0002713917,0.07706897,0.0004392788,0.00055945554,0.00070752413,0.0006556524,0.5647213,0.030258209,0.059993405,0.2648726,0.00031994045],"about_ca_topic_score_codex":0.0062998733,"about_ca_topic_score_gemma":0.007866574,"teacher_disagreement_score":0.029338412,"about_ca_system_score_codex":0.00083729025,"about_ca_system_score_gemma":0.0012549853,"threshold_uncertainty_score":0.098146796},"labels":[],"label_agreement":null},{"id":"W1705810466","doi":"","title":"Optimum use of MACE information to predict composite type traits","year":2007,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mace; Breed; Udder; Biology; Statistics; Animal science; Mathematics; Medicine; Internal medicine","score_opus":0.045905063930268115,"score_gpt":0.28041464172227265,"score_spread":0.23450957779200454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1705810466","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":[0.5453964,0.0031578876,0.4014746,0.0008931618,0.00024324648,0.00034325375,0.022996042,0.007348624,0.018146826],"genre_scores_gemma":[0.80069435,0.0004311186,0.1702162,0.00020529775,0.000117162366,0.0001683003,0.02342002,0.00043205667,0.004315594],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715626,0.00090759154,0.00017827465,0.0008576767,0.0005769385,0.00032318517],"domain_scores_gemma":[0.9893015,0.0051334095,0.0006205398,0.0013127773,0.0032010002,0.00043079094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064692213,0.0014116237,0.0017609458,0.0066824076,0.00055589306,0.002816699,0.0013120901,0.0010174516,0.00476718],"category_scores_gemma":[0.016210452,0.00054759876,0.0018187758,0.0025859529,0.0003363765,0.001917353,0.0013955688,0.0010835851,0.0030595514],"study_design_candidate":"simulation_or_modeling","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":[0.001953712,0.00031490065,0.40498286,0.0002194149,0.0010473686,0.0003617802,0.0003212616,0.05229013,0.006733207,0.0025344023,0.013036763,0.51620424],"study_design_scores_gemma":[0.00012106487,0.00036888753,0.21156901,0.00025448567,0.00052171346,0.00044865318,0.00027717205,0.75724864,0.008162322,0.0051353867,0.015722763,0.00016985802],"about_ca_topic_score_codex":0.015619326,"about_ca_topic_score_gemma":0.013247664,"teacher_disagreement_score":0.015619326,"about_ca_system_score_codex":0.00071405154,"about_ca_system_score_gemma":0.0014480499,"threshold_uncertainty_score":0.034212887},"labels":[],"label_agreement":null},{"id":"W1714284771","doi":"","title":"Reliability of genomic evaluation of Holstein cattle in Canada","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Artificial insemination; SNP; Biology; Single-nucleotide polymorphism; Dairy cattle; Biotechnology; Reliability (semiconductor); Genotype; Agricultural science; Genetics; Gene","score_opus":0.018701155015119545,"score_gpt":0.2704133236995445,"score_spread":0.251712168684425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1714284771","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":[0.97334135,0.001888015,0.003000599,0.00047798382,0.000050261,0.00008175829,0.00839898,0.00017999309,0.012581103],"genre_scores_gemma":[0.98826015,0.00050307106,0.0025762683,0.00019328792,0.0000072820635,0.00002569667,0.0047967755,0.000037930273,0.0035995257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944226,0.0006405298,0.00018841706,0.0014241883,0.0025760243,0.00074832607],"domain_scores_gemma":[0.9856031,0.0012003643,0.0008767254,0.00066141924,0.010876387,0.0007820289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00386501,0.00037409386,0.00057181664,0.003164959,0.0022205135,0.0019355163,0.0015619417,0.00038267148,0.0013123582],"category_scores_gemma":[0.008538565,0.0002749046,0.00033037976,0.0043648765,0.0011092172,0.00027235397,0.0009280266,0.00048307094,0.00040578147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006144636,0.00003776825,0.94032675,0.000081054415,0.0002852797,0.0001980057,0.0018569727,0.0012216129,0.006811895,0.0009993429,0.003323199,0.044243652],"study_design_scores_gemma":[0.000008805423,0.000023311866,0.9929864,0.00002485263,0.000051104456,0.000049729366,0.00044244246,0.0011379574,0.0014348937,0.000067667745,0.0037591974,0.00001358087],"about_ca_topic_score_codex":0.979627,"about_ca_topic_score_gemma":0.98809344,"teacher_disagreement_score":0.023838334,"about_ca_system_score_codex":0.023838334,"about_ca_system_score_gemma":0.016899751,"threshold_uncertainty_score":0.17296004},"labels":[],"label_agreement":null},{"id":"W1725080074","doi":"","title":"International dairy sire evaluation based on multiple-trait BLUP analysis of daughter performance records","year":2001,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sire; Ice calving; Breed; Daughter; Herd; Biology; Trait; Animal science; Heritability; Lactation; Geography; Demography; Pregnancy; Genetics","score_opus":0.025952348627269282,"score_gpt":0.29044251448828934,"score_spread":0.26449016586102003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1725080074","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":[0.89055127,0.00039166614,0.10103302,0.00006452733,0.000017206099,0.00004747088,0.00092293724,0.00047008097,0.0065019294],"genre_scores_gemma":[0.96321374,0.00014440916,0.033027098,0.000019739926,0.000009484209,0.00003332709,0.002069886,0.000091168615,0.0013911461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985057,0.000875187,0.000058255308,0.00025314896,0.00020301595,0.00010473912],"domain_scores_gemma":[0.9977208,0.0011050972,0.0003986086,0.00034795885,0.00032810448,0.00009944442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048815566,0.00068350433,0.00049093296,0.0015678365,0.00019907148,0.0005996644,0.00035919657,0.00023613042,0.0015693001],"category_scores_gemma":[0.0066378675,0.00020163262,0.000514962,0.0009188539,0.00020410854,0.000457249,0.00053117366,0.00028258693,0.00066957634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010451558,0.00008718245,0.82770276,0.00006843558,0.0007790291,0.00023164046,0.00034232053,0.039395235,0.008354938,0.001825773,0.0017067436,0.11846081],"study_design_scores_gemma":[0.000044220877,0.00038801922,0.67857337,0.000040019215,0.0003337049,0.00044903273,0.0001769878,0.3111089,0.0043223538,0.0014224991,0.003098778,0.000042157284],"about_ca_topic_score_codex":0.002590001,"about_ca_topic_score_gemma":0.004884182,"teacher_disagreement_score":0.0048815566,"about_ca_system_score_codex":0.0003246224,"about_ca_system_score_gemma":0.00015968001,"threshold_uncertainty_score":0.02581644},"labels":[],"label_agreement":null},{"id":"W1737138984","doi":"","title":"GMACE Weighting Factors","year":2013,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","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":"Canadian Dairy Commission","funders":"","keywords":"Weighting; Statistics; Reliability (semiconductor); Variance (accounting); Econometrics; A-weighting; Variance components; Mathematics; Computer science; Economics; Accounting","score_opus":0.0204751582555278,"score_gpt":0.26655654448729416,"score_spread":0.24608138623176634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1737138984","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009322242,0.0002135729,0.9793555,0.00017216864,0.00015857002,0.00021946615,0.0009820471,0.0010171348,0.008559263],"genre_scores_gemma":[0.182024,0.00047837384,0.79904824,0.00035358925,0.00017269433,0.0011084024,0.00442678,0.0021580143,0.010229878],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.993501,0.0024737243,0.0004630572,0.001085281,0.0020961177,0.00038069763],"domain_scores_gemma":[0.9853135,0.0052809175,0.0007745456,0.0036656777,0.0047730296,0.00019242254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011091391,0.001975194,0.0010267607,0.002517877,0.00076880486,0.002680161,0.0020438693,0.0012877795,0.015074243],"category_scores_gemma":[0.052552395,0.0007889429,0.0017722608,0.0029094021,0.0009031352,0.0033800015,0.0029805722,0.002831035,0.0051328107],"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":[0.0003825895,0.00015450688,0.011890461,0.0006083429,0.00040884514,0.00014136155,0.0007922442,0.15420361,0.010285362,0.11790586,0.02310761,0.6801193],"study_design_scores_gemma":[0.0001096082,0.00036375306,0.019090395,0.00061413925,0.0002991813,0.00039861596,0.00067490287,0.5581895,0.025680637,0.21816035,0.17611587,0.0003030521],"about_ca_topic_score_codex":0.004827705,"about_ca_topic_score_gemma":0.003391369,"teacher_disagreement_score":0.015074243,"about_ca_system_score_codex":0.0011988671,"about_ca_system_score_gemma":0.0013617896,"threshold_uncertainty_score":0.058657587},"labels":[],"label_agreement":null},{"id":"W1808669345","doi":"","title":"Challenges and opportunities for global dairy cattle breeding - A Canadian perspective","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breed; Genomic selection; Biotechnology; Selection (genetic algorithm); Biology; Livestock; Agricultural science; Business; Animal science; Genetics; Computer science; Genotype; Single-nucleotide polymorphism","score_opus":0.07438941896657539,"score_gpt":0.3132796756059857,"score_spread":0.2388902566394103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1808669345","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0104224775,0.09099798,0.0023275195,0.7368455,0.004662332,0.00007776473,0.0024940877,0.00033106175,0.15184124],"genre_scores_gemma":[0.3044466,0.3340417,0.021038767,0.21631537,0.0023360779,0.00012180603,0.0038645123,0.00037469485,0.117460504],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99535215,0.0004972666,0.00014862076,0.00050952274,0.0016674565,0.0018249095],"domain_scores_gemma":[0.9893087,0.00081046,0.0002971589,0.00018359601,0.0049761287,0.004423924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007354026,0.0013269325,0.0010669515,0.0033162816,0.008836369,0.009929572,0.0032664104,0.0047085,0.025548957],"category_scores_gemma":[0.005469399,0.00037610112,0.00085233274,0.0057880455,0.005369588,0.005112618,0.0042849984,0.0063624103,0.0021205957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027771015,0.0002416654,0.015088097,0.0017636783,0.00014513925,0.00171653,0.005515893,0.0015061366,0.0035760377,0.16907217,0.54189605,0.25920096],"study_design_scores_gemma":[0.000029947758,0.000065623986,0.01676892,0.0007337887,0.00008756906,0.00036071325,0.009066099,0.0005110716,0.0003048859,0.01164501,0.96033204,0.00009435679],"about_ca_topic_score_codex":0.95693,"about_ca_topic_score_gemma":0.97267693,"teacher_disagreement_score":0.06101557,"about_ca_system_score_codex":0.06101557,"about_ca_system_score_gemma":0.17466177,"threshold_uncertainty_score":0.44270098},"labels":[],"label_agreement":null},{"id":"W1817539169","doi":"","title":"Including production in female fertility evaluations","year":2008,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","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":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fertility; Selection (genetic algorithm); Heritability; Biology; Dairy cattle; Production (economics); Reproduction; Herd; Profitability index; Biotechnology; Demography; Animal science; Economics; Population; Ecology; Genetics","score_opus":0.06227525747906536,"score_gpt":0.3288754587755794,"score_spread":0.266600201296514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1817539169","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":[0.5566985,0.03078613,0.13105182,0.00071758864,0.0022019634,0.006230637,0.09196141,0.0021662824,0.17818575],"genre_scores_gemma":[0.82912743,0.006918062,0.096166946,0.0006567496,0.0006381391,0.003565311,0.031515546,0.0005191088,0.030892754],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9956981,0.0015946884,0.00067971804,0.00064903515,0.0011103465,0.0002680213],"domain_scores_gemma":[0.9932134,0.002047692,0.0015295831,0.00088808715,0.002111924,0.00020933925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053753285,0.0015386048,0.0010083325,0.0027526258,0.00043741593,0.0012357103,0.0010523825,0.00055890327,0.013983349],"category_scores_gemma":[0.007645794,0.0002591296,0.0015336389,0.0020911898,0.00035737857,0.0008989842,0.0011784335,0.00062401063,0.00459375],"study_design_candidate":"observational","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":[0.0015528282,0.0004865786,0.3392002,0.0044873753,0.0011508586,0.0010017402,0.0013850458,0.0023801073,0.010365509,0.003653285,0.023258733,0.6110778],"study_design_scores_gemma":[0.00012679595,0.002168435,0.59784496,0.0017715408,0.0022997528,0.002351595,0.0012095558,0.005725875,0.017513083,0.0048116264,0.36398795,0.00018881283],"about_ca_topic_score_codex":0.0020722256,"about_ca_topic_score_gemma":0.004334567,"teacher_disagreement_score":0.013983349,"about_ca_system_score_codex":0.00056790677,"about_ca_system_score_gemma":0.00068970653,"threshold_uncertainty_score":0.046778917},"labels":[],"label_agreement":null},{"id":"W1839801220","doi":"","title":"Index for mastitis resistance and use of BHBA for evaluation of health traits in Canadian Holsteins.","year":2014,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Commission; University of Guelph","funders":"","keywords":"Udder; Mastitis; Animal science; Lactation; California mastitis test; Heritability; Ketosis; Medicine; Veterinary medicine; Biology; Ice calving; Endocrinology; Genetics; Pregnancy","score_opus":0.03760450262839669,"score_gpt":0.3045351348213262,"score_spread":0.2669306321929295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1839801220","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":[0.9714921,0.0013272624,0.002046446,0.00025770898,0.00003749273,0.00023378339,0.013660812,0.00021058682,0.010733708],"genre_scores_gemma":[0.97316283,0.0006089931,0.0076140477,0.00009982129,0.000008968654,0.00011099852,0.008649234,0.000041157637,0.009703935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991966,0.00007949865,0.000029885265,0.00012878123,0.00042794275,0.00013728354],"domain_scores_gemma":[0.99895203,0.00006605905,0.00023892957,0.000049824634,0.00041674767,0.00027635155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418133,0.0006293335,0.00032118414,0.0019177364,0.0009842681,0.00057392207,0.0009797175,0.00029729615,0.0026052014],"category_scores_gemma":[0.0014004316,0.00018297274,0.00038629165,0.0016381238,0.00029829072,0.00014504275,0.00035962692,0.0003843069,0.00044028298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055725046,0.00019841523,0.9362495,0.00008403264,0.00017791425,0.00023422611,0.0004163448,0.00053827505,0.008428262,0.00028162566,0.004714769,0.048119552],"study_design_scores_gemma":[0.000007342067,0.0000768242,0.99745864,0.000009175107,0.000028826586,0.0000612221,0.00006877558,0.00044210505,0.000291765,0.000017334469,0.0015315535,0.000006573044],"about_ca_topic_score_codex":0.9157322,"about_ca_topic_score_gemma":0.9588031,"teacher_disagreement_score":0.084267795,"about_ca_system_score_codex":0.010170013,"about_ca_system_score_gemma":0.0062706484,"threshold_uncertainty_score":0.16952807},"labels":[],"label_agreement":null},{"id":"W1934412241","doi":"","title":"Genetic analysis of herd life in Canadian dairy cattle on a lactation basis using the Survival Kit","year":2003,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Culling; Longevity; Herd; Biology; Lactation; Animal science; Selection (genetic algorithm); Trait; Milk production; Pregnancy; Genetics","score_opus":0.031826716670107856,"score_gpt":0.2941981518735896,"score_spread":0.2623714352034818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934412241","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":[0.99758077,0.00008237401,0.0003491345,0.000027292264,0.0000032681965,0.000014226934,0.0011198319,0.00001217066,0.00081098557],"genre_scores_gemma":[0.9931237,0.00011089642,0.0016429038,0.000035670233,0.0000024881597,0.000028407154,0.0019034569,0.000019690913,0.0031328364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995437,0.00006031662,0.000014478141,0.000109956396,0.00014497878,0.00012643177],"domain_scores_gemma":[0.9990313,0.00012792727,0.0001606034,0.000046465553,0.0004048147,0.00022882098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066276937,0.00025840275,0.00023699221,0.0020131855,0.0012848771,0.0004244134,0.0005413038,0.0002096475,0.0017564956],"category_scores_gemma":[0.0010526959,0.0001606665,0.00035938394,0.0022524076,0.00041419567,0.0001087367,0.00027096237,0.0003305231,0.000223508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006740632,0.00011433366,0.9323389,0.000035995214,0.00019523758,0.0003719062,0.0018532772,0.00069042435,0.039805286,0.0004208125,0.0009882146,0.022511574],"study_design_scores_gemma":[0.0000023791315,0.000029024,0.99879175,0.000002406058,0.000010249115,0.000039272654,0.00013968984,0.00027999838,0.00022100593,0.000010680725,0.00046772146,0.0000059543695],"about_ca_topic_score_codex":0.91560745,"about_ca_topic_score_gemma":0.9672193,"teacher_disagreement_score":0.08439255,"about_ca_system_score_codex":0.008088185,"about_ca_system_score_gemma":0.0042291027,"threshold_uncertainty_score":0.16977906},"labels":[],"label_agreement":null},{"id":"W1954930259","doi":"","title":"Predicting MACE breeding values on a phantom country scale","year":2008,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematical proof; Mace; Scale (ratio); Sire; Econometrics; Computer science; Mathematics; Geography; Biology; Medicine","score_opus":0.024520701154246944,"score_gpt":0.27672258876373723,"score_spread":0.2522018876094903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1954930259","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":[0.6530695,0.0011697572,0.3208746,0.0002489467,0.00011224309,0.00013491334,0.007351492,0.0015195516,0.015518831],"genre_scores_gemma":[0.8713488,0.00021670737,0.12094594,0.000047450456,0.000026706464,0.0000849537,0.0053415378,0.00019838887,0.0017895111],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765354,0.0012178526,0.00009624159,0.0004572458,0.00041478602,0.00016037548],"domain_scores_gemma":[0.98270214,0.010308184,0.0024126584,0.0025703516,0.0016579466,0.00034870874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00463731,0.00061146263,0.00059012824,0.004014491,0.0002866534,0.001944483,0.00076055207,0.0006892997,0.0043524853],"category_scores_gemma":[0.016187144,0.00030816084,0.0008372395,0.0022915036,0.000503367,0.0017325858,0.0012564642,0.0007726531,0.0014886333],"study_design_candidate":"simulation_or_modeling","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":[0.0005910997,0.00017142633,0.57208127,0.00038022856,0.00065804925,0.0006784762,0.0004431794,0.14240773,0.008399014,0.014404019,0.007334475,0.25245112],"study_design_scores_gemma":[0.00005260336,0.0008428289,0.49658695,0.000187001,0.0001740038,0.001113875,0.0007311909,0.44885904,0.012895715,0.014945215,0.023466237,0.00014540524],"about_ca_topic_score_codex":0.0017399928,"about_ca_topic_score_gemma":0.0019920347,"teacher_disagreement_score":0.00463731,"about_ca_system_score_codex":0.0005652611,"about_ca_system_score_gemma":0.00035707752,"threshold_uncertainty_score":0.024524748},"labels":[],"label_agreement":null},{"id":"W2097440609","doi":"","title":"Genetic analysis of MUN and lactose and their relationships with economically important traits in Canadian Holstein cattle","year":2006,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lactose; Urea nitrogen; Animal science; Herd; Holstein Cattle; Biology; Food science; Dairy cattle; Biochemistry","score_opus":0.020659773592145964,"score_gpt":0.222563204006103,"score_spread":0.20190343041395703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097440609","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":[0.9985335,0.0002102411,0.000110776804,0.000048028498,0.0000024054084,0.0000081564585,0.0003712272,0.000006334392,0.0007094494],"genre_scores_gemma":[0.9978004,0.00017727407,0.00046011485,0.000026155256,0.0000034993811,0.000007039545,0.00044340504,0.000008481179,0.0010736015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989102,0.00011820566,0.000037518686,0.00026007812,0.00040073248,0.00027334486],"domain_scores_gemma":[0.9987502,0.00022557634,0.00024205378,0.000048633057,0.0003344368,0.00039912184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009444814,0.00050959835,0.0003847884,0.0029737288,0.0017057054,0.0007555395,0.00092229526,0.00045197684,0.0014011273],"category_scores_gemma":[0.0011532716,0.00026698216,0.00043445753,0.00302426,0.0009328972,0.00014946538,0.0003585684,0.000544727,0.00013247064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008085197,0.00019139175,0.96278965,0.000037598456,0.0004432161,0.0006700697,0.0011097334,0.0007204536,0.018220026,0.00038509135,0.00051920797,0.014104997],"study_design_scores_gemma":[0.000004003252,0.0000305524,0.9991062,0.000004114858,0.000027819522,0.00007697805,0.00013824593,0.0002503239,0.0001315027,0.000015622685,0.00020848731,0.0000062011145],"about_ca_topic_score_codex":0.909622,"about_ca_topic_score_gemma":0.9529353,"teacher_disagreement_score":0.09037799,"about_ca_system_score_codex":0.0116669405,"about_ca_system_score_gemma":0.0057243514,"threshold_uncertainty_score":0.18182045},"labels":[],"label_agreement":null},{"id":"W2103413860","doi":"","title":"Trends in sire variance estimates by birth year","year":2000,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sire; Variance (accounting); Econometrics; Trait; Statistics; Variance components; Estimation; Mathematics; Economics; Biology; Animal science; Computer science","score_opus":0.03457038731822029,"score_gpt":0.3413189695364152,"score_spread":0.3067485822181949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103413860","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":[0.9565037,0.002700926,0.009580057,0.00038960934,0.000082046136,0.000042119376,0.020771218,0.00048111705,0.009449201],"genre_scores_gemma":[0.9694838,0.001461216,0.007975934,0.000075836855,0.000043554763,0.000052037227,0.0169896,0.00011075631,0.0038072793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981487,0.00065077463,0.00019552604,0.00038041468,0.00043415892,0.00019046628],"domain_scores_gemma":[0.98362374,0.007055845,0.002941719,0.001383143,0.004684001,0.00031153808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004669176,0.0001944915,0.00030442487,0.0033942228,0.0002840813,0.0006499608,0.0004227472,0.00024989567,0.0032974978],"category_scores_gemma":[0.015089415,0.00018096527,0.0003660633,0.0028086076,0.00026763664,0.0004242437,0.00036800298,0.00075924466,0.0007417582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034416423,0.000039689974,0.9380773,0.00011837141,0.00031348778,0.000060614246,0.0011049856,0.0011202025,0.002637191,0.000990267,0.004267398,0.05092621],"study_design_scores_gemma":[0.0000021255642,0.000082095416,0.9951734,0.00001359376,0.000031391446,0.00011465521,0.00023169229,0.00046272727,0.0007919517,0.00010205895,0.0029789994,0.00001527289],"about_ca_topic_score_codex":0.014637683,"about_ca_topic_score_gemma":0.023668805,"teacher_disagreement_score":0.014637683,"about_ca_system_score_codex":0.0004992925,"about_ca_system_score_gemma":0.0003629861,"threshold_uncertainty_score":0.029104948},"labels":[],"label_agreement":null},{"id":"W2120142067","doi":"","title":"Managing genetic recessives in Canadian Holsteins","year":2008,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breed; Biology; Pedigree chart; Population; Animal science; Genetics; Demography","score_opus":0.02221524663851933,"score_gpt":0.269091456340511,"score_spread":0.2468762097019917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120142067","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":[0.87346494,0.007902492,0.013526836,0.010313182,0.00046983187,0.000577173,0.0033319104,0.0012268617,0.08918673],"genre_scores_gemma":[0.90297216,0.006590317,0.019580804,0.0019388278,0.00009976876,0.000091913476,0.0031070348,0.00027888955,0.06534031],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975152,0.00019325,0.00007666352,0.00040721573,0.0012027378,0.0006050134],"domain_scores_gemma":[0.9970476,0.00023665008,0.00037221584,0.00015994855,0.0014732033,0.00071036303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027376425,0.0007217237,0.00040834784,0.0031126596,0.0061287703,0.0015515663,0.0025372414,0.00072707975,0.003953225],"category_scores_gemma":[0.0037079328,0.000252136,0.0002870675,0.0026175065,0.0013420959,0.00056900445,0.0015742142,0.0007371458,0.00063163193],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007109667,0.00042758792,0.23216543,0.00033054227,0.000125367,0.008300471,0.010010097,0.0024313936,0.033789217,0.010992053,0.06441812,0.6362988],"study_design_scores_gemma":[0.00013708067,0.00040596726,0.49660888,0.00047390698,0.000381427,0.0066342186,0.012475695,0.005353474,0.016555754,0.0033784036,0.45731091,0.00028421014],"about_ca_topic_score_codex":0.96367913,"about_ca_topic_score_gemma":0.9874056,"teacher_disagreement_score":0.036320865,"about_ca_system_score_codex":0.026365662,"about_ca_system_score_gemma":0.055670056,"threshold_uncertainty_score":0.19129717},"labels":[],"label_agreement":null},{"id":"W2121540949","doi":"","title":"Genetic and genomic evaluation of mastitis resistance in Canada.","year":2013,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Commission; Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Mastitis; Udder; Metritis; Lameness; Veterinary medicine; Milk fever; Animal science; California mastitis test; Milking; Biology; Herd; Medicine; Lactation; Ice calving; Pregnancy; Genetics; Pathology; Surgery","score_opus":0.014604623139085837,"score_gpt":0.23936630645914758,"score_spread":0.22476168332006174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121540949","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":[0.93337685,0.0029507822,0.005936582,0.0012510709,0.00009545419,0.00033551012,0.032594986,0.00027306817,0.02318563],"genre_scores_gemma":[0.9459979,0.0014212062,0.009105713,0.00048302993,0.000013483545,0.00011323794,0.014931175,0.00008167058,0.027852641],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990038,0.00008045583,0.00003106858,0.00017899853,0.00049969484,0.00020598045],"domain_scores_gemma":[0.9985843,0.00008550519,0.000105725885,0.00004078713,0.0009410376,0.0002427058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008430728,0.00045970385,0.0004148651,0.0022383651,0.002268333,0.0007914064,0.00059132697,0.00031838723,0.003289063],"category_scores_gemma":[0.0009860214,0.00021271184,0.0005080192,0.003904022,0.00040115815,0.00012155082,0.000434222,0.00047563913,0.00043174098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021325815,0.00079487124,0.6511138,0.0002562309,0.0006075834,0.0032116238,0.004123287,0.0030417976,0.12348313,0.00518035,0.018690469,0.1873643],"study_design_scores_gemma":[0.000057167734,0.00023255635,0.96054935,0.000037154052,0.00013326661,0.00051667955,0.000842081,0.0024365957,0.0037934233,0.00015149119,0.031212242,0.000037966023],"about_ca_topic_score_codex":0.9800724,"about_ca_topic_score_gemma":0.9875299,"teacher_disagreement_score":0.01992762,"about_ca_system_score_codex":0.01722003,"about_ca_system_score_gemma":0.018944232,"threshold_uncertainty_score":0.124940634},"labels":[],"label_agreement":null},{"id":"W2131643522","doi":"","title":"Experiences in validating genomic evaluations","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genomic information; Biology; Genomic selection; Statistics; Animal science; Genetics; Mathematics; Genome; Gene","score_opus":0.026809829754699675,"score_gpt":0.31292611247962054,"score_spread":0.28611628272492085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131643522","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78305644,0.0022497566,0.16613938,0.00542249,0.00043027021,0.0013597087,0.0019134523,0.0010008401,0.03842765],"genre_scores_gemma":[0.756485,0.0011410528,0.23213555,0.0013963463,0.00007148143,0.00028533977,0.002337034,0.0003329924,0.005815158],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.96126854,0.020396419,0.0016628533,0.0030203953,0.011909165,0.001742562],"domain_scores_gemma":[0.8664621,0.03810677,0.0025636347,0.012883568,0.076934494,0.0030494547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06772308,0.0007419378,0.00042927454,0.0017108936,0.0020686847,0.0030465226,0.002805367,0.0012190551,0.0013916476],"category_scores_gemma":[0.075865366,0.0003026945,0.0005449441,0.002197599,0.0029812865,0.001374006,0.0026308917,0.0014354152,0.00047373844],"study_design_candidate":"not_applicable","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":[0.0008068849,0.0011157934,0.30382204,0.0007032988,0.0003368259,0.0024608083,0.03816412,0.025984848,0.03872756,0.010699252,0.009784019,0.5673946],"study_design_scores_gemma":[0.00028162837,0.0035543814,0.4387352,0.0019103221,0.0008051916,0.0032632286,0.041024093,0.034524053,0.146827,0.009788528,0.31879726,0.0004889986],"about_ca_topic_score_codex":0.28620747,"about_ca_topic_score_gemma":0.2971478,"teacher_disagreement_score":0.28620747,"about_ca_system_score_codex":0.009677549,"about_ca_system_score_gemma":0.0121254055,"threshold_uncertainty_score":0.5690831},"labels":[],"label_agreement":null},{"id":"W2135426476","doi":"","title":"Development of Genetic Evaluations for Metabolic Disease Traits for Canadian Dairy Cattle","year":2015,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heritability; Lactation; Sire; Biology; Dairy cattle; Animal science; Genetic correlation; Ice calving; Bivariate analysis; Veterinary medicine; Medicine; Genetic variation; Genetics; Pregnancy; Statistics; Mathematics","score_opus":0.05188232449499356,"score_gpt":0.31906142376732255,"score_spread":0.26717909927232897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135426476","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":[0.96976376,0.0009526492,0.018220028,0.00017943245,0.000019467208,0.0002765174,0.0041900696,0.00023635577,0.006161771],"genre_scores_gemma":[0.90201014,0.000939674,0.087200545,0.000098096185,0.000018093162,0.00019644597,0.0052098623,0.00010575769,0.004221323],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979627,0.0005040005,0.00007776366,0.00040032965,0.0007678716,0.00028727058],"domain_scores_gemma":[0.9978229,0.00049293076,0.00024380849,0.000090203896,0.0010953437,0.00025487973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035816042,0.0011748647,0.0006705026,0.0039090244,0.001431372,0.0010178927,0.0011077932,0.0003465163,0.0017415556],"category_scores_gemma":[0.0038372504,0.00030601514,0.00092569,0.0027222135,0.00043710542,0.00029478816,0.00080032146,0.0004911904,0.00020291013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016086197,0.0003257269,0.6589903,0.0003431632,0.0010710385,0.00078640936,0.0019701594,0.029213527,0.059654385,0.0025826446,0.0021932125,0.2412609],"study_design_scores_gemma":[0.000072369265,0.0003726486,0.964513,0.000085196894,0.00042585816,0.00019363697,0.0006336397,0.02218433,0.004398965,0.00033726633,0.0067035146,0.00007958357],"about_ca_topic_score_codex":0.8530659,"about_ca_topic_score_gemma":0.9233011,"teacher_disagreement_score":0.14693409,"about_ca_system_score_codex":0.011178795,"about_ca_system_score_gemma":0.009405323,"threshold_uncertainty_score":0.2955988},"labels":[],"label_agreement":null},{"id":"W2135696121","doi":"","title":"Implementation of reproductive performance genetic evaluations in Canada","year":2007,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trait; Fertility; Daughter; Biology; Demography; Evolutionary biology; Computer science; Population","score_opus":0.015884352984461683,"score_gpt":0.3013290048049364,"score_spread":0.28544465182047474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135696121","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5682765,0.0029038852,0.041417874,0.008460817,0.00067679427,0.007868449,0.030026184,0.0031946748,0.33717477],"genre_scores_gemma":[0.78445506,0.0024575172,0.103422396,0.002270083,0.00007373813,0.0020913922,0.013634766,0.00038434297,0.09121071],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.992743,0.0010867183,0.0002202368,0.00072736293,0.0042328313,0.0009898982],"domain_scores_gemma":[0.98038155,0.00062398746,0.00042186855,0.0007191445,0.016059266,0.001794112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008432037,0.00053998124,0.00034582196,0.0021214474,0.003104711,0.0016401581,0.0025746075,0.00041291458,0.0049188873],"category_scores_gemma":[0.0065328777,0.00038607774,0.00049534114,0.0022203878,0.000723367,0.00047508086,0.0011791779,0.0008498463,0.0009674347],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010983858,0.001259595,0.22480738,0.00034398423,0.00017643259,0.0010409559,0.004888575,0.007820098,0.019466031,0.014727879,0.08508146,0.6392892],"study_design_scores_gemma":[0.00022071105,0.00087772415,0.74367166,0.0002480305,0.00009398369,0.0002313202,0.0021748566,0.0093601225,0.007909569,0.00080082176,0.23422809,0.00018311224],"about_ca_topic_score_codex":0.98979235,"about_ca_topic_score_gemma":0.993185,"teacher_disagreement_score":0.058584332,"about_ca_system_score_codex":0.058584332,"about_ca_system_score_gemma":0.12893017,"threshold_uncertainty_score":0.42506105},"labels":[],"label_agreement":null},{"id":"W2150505604","doi":"","title":"De-regressing MACE versus domestic EBV for genomics","year":2015,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Mace; Trait; Biology; Regression; Animal science; Statistics; Mathematics; Internal medicine; Medicine; Computer science","score_opus":0.0605493218713211,"score_gpt":0.33966720714868515,"score_spread":0.27911788527736403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150505604","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":[0.78693646,0.0014827095,0.19605318,0.00011792399,0.000104613246,0.00012682988,0.0061907396,0.0011403831,0.007847099],"genre_scores_gemma":[0.8792811,0.00032822115,0.10453273,0.000100967074,0.000013289267,0.00014436491,0.008215606,0.00050337246,0.0068803583],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981653,0.0005865317,0.00008649462,0.00062102795,0.0004239793,0.00011672894],"domain_scores_gemma":[0.99528164,0.002016364,0.00045661113,0.0011914431,0.0009797197,0.00007429389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047185617,0.0006217204,0.0005273203,0.0006293728,0.0005068683,0.00090791984,0.0006546096,0.0002988478,0.0023857027],"category_scores_gemma":[0.009880429,0.00019848374,0.00064668566,0.00077765126,0.00042998308,0.00040451947,0.00061213237,0.00068668206,0.00060879794],"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":[0.0013328475,0.00020077596,0.4455619,0.0004976891,0.0018598062,0.0004214439,0.0017056763,0.023900893,0.16883844,0.008507855,0.0037329316,0.34343973],"study_design_scores_gemma":[0.000025818083,0.00033571146,0.86846596,0.00008337645,0.00044850857,0.00057093974,0.0005108201,0.03597716,0.060731698,0.0013267646,0.03140939,0.0001138565],"about_ca_topic_score_codex":0.046951067,"about_ca_topic_score_gemma":0.15594184,"teacher_disagreement_score":0.046951067,"about_ca_system_score_codex":0.0014132559,"about_ca_system_score_gemma":0.0009778995,"threshold_uncertainty_score":0.09335554},"labels":[],"label_agreement":null},{"id":"W2153120804","doi":"","title":"Jersey Mace for conformation","year":2000,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mace; Table (database); Biology; Geography; Computer science; Medicine; Database; Internal medicine","score_opus":0.04924658432482622,"score_gpt":0.3059001699754006,"score_spread":0.2566535856505744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153120804","genre_codex":"dataset","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":[0.0034749766,0.0005053981,0.033619415,0.001308614,0.00066791323,0.0005364247,0.6589652,0.04830183,0.2526203],"genre_scores_gemma":[0.010820347,0.000664979,0.071710385,0.0008833121,0.00027277545,0.0008709593,0.65619254,0.02099046,0.23759428],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99812526,0.00022750837,0.00021737009,0.00040584215,0.0008663202,0.00015762306],"domain_scores_gemma":[0.9931918,0.0009411917,0.00044376738,0.0029981795,0.0019393511,0.0004856981],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037270149,0.0007504502,0.0011186252,0.0043455497,0.0009923072,0.0025952898,0.002992789,0.0007281799,0.48347542],"category_scores_gemma":[0.010056255,0.0011914513,0.0007081051,0.0047163498,0.00022315365,0.0030750043,0.0022925877,0.0015947553,0.31012306],"study_design_candidate":"observational","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":[0.00013443049,0.00005356989,0.0018343456,0.00018958788,0.000022846503,0.00007584141,0.00012998348,0.00014505532,0.0012890095,0.0052094623,0.91122085,0.07969504],"study_design_scores_gemma":[0.000027130702,0.000011688015,0.0022816556,0.00004236873,0.000012900824,0.00009221883,0.000018962242,0.0003030893,0.00056980195,0.0015566366,0.9950659,0.000017586448],"about_ca_topic_score_codex":0.008510088,"about_ca_topic_score_gemma":0.025836125,"teacher_disagreement_score":0.48347542,"about_ca_system_score_codex":0.0009859857,"about_ca_system_score_gemma":0.0018227545,"threshold_uncertainty_score":0.73675966},"labels":[],"label_agreement":null},{"id":"W2171855901","doi":"","title":"How is the AI industry using the genomic tools in practice","year":2010,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rogers Communications (Canada)","funders":"","keywords":"Genomic selection; Artificial insemination; Genotyping; Progeny testing; Biology; Selection (genetic algorithm); Genomic information; Biotechnology; Genetics; Genotype; Genome; Computer science; Single-nucleotide polymorphism; Artificial intelligence; Gene; Pregnancy","score_opus":0.03550540171858847,"score_gpt":0.32097610191933773,"score_spread":0.28547070020074927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171855901","genre_codex":"commentary","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":[0.004501705,0.018932603,0.024809908,0.9130419,0.0067554433,0.00013269295,0.00017659816,0.00078979396,0.030859457],"genre_scores_gemma":[0.16326967,0.07634674,0.17565545,0.53273743,0.016996713,0.00069761643,0.00083170785,0.0019688956,0.03149568],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.93701017,0.03186832,0.002737971,0.007503725,0.016491108,0.004388678],"domain_scores_gemma":[0.8234662,0.05604254,0.008328996,0.024532694,0.058506288,0.029123303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09903649,0.0015608966,0.001618052,0.005214206,0.0068007386,0.034796216,0.0058310865,0.017403506,0.018983653],"category_scores_gemma":[0.12011505,0.0012311349,0.0019451234,0.0051266006,0.024932984,0.04074572,0.009820912,0.018144758,0.020794414],"study_design_candidate":"observational","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":[0.00024370194,0.000858276,0.017000536,0.001631453,0.0002503504,0.00078536547,0.0063027306,0.0016437125,0.002226018,0.12042399,0.2911983,0.5574355],"study_design_scores_gemma":[0.0000937095,0.000478486,0.0067156577,0.0042142705,0.000095671465,0.00071908144,0.01056355,0.0010708945,0.0012345149,0.16885307,0.8057461,0.0002149172],"about_ca_topic_score_codex":0.010921096,"about_ca_topic_score_gemma":0.0067912736,"teacher_disagreement_score":0.09903649,"about_ca_system_score_codex":0.0073289475,"about_ca_system_score_gemma":0.02339378,"threshold_uncertainty_score":0.5237613},"labels":[],"label_agreement":null},{"id":"W2550840722","doi":"","title":"Genetic Evaluation for Resistance to Metabolic Diseases in Canadian Dairy Breeds","year":2016,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Commission; University of Guelph","funders":"","keywords":"Ketosis; Animal science; Biology; Lactation; Genetic correlation; Brown Swiss; Dairy cattle; Genetics; Genetic variation; Endocrinology; Gene; Pregnancy","score_opus":0.019008970647737232,"score_gpt":0.2867035465171694,"score_spread":0.2676945758694322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550840722","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":[0.9813043,0.0002384984,0.009317936,0.0001098562,0.000011269171,0.00014452352,0.0055847154,0.00026048569,0.0030285474],"genre_scores_gemma":[0.9688191,0.00026601303,0.019403515,0.000050062466,0.0000064178594,0.00010479226,0.0061201733,0.00007639775,0.0051535154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989699,0.00018613743,0.00004025224,0.00027939607,0.0003637831,0.00016050886],"domain_scores_gemma":[0.9991823,0.0002108835,0.00011820651,0.000053310145,0.00032449135,0.00011094672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019851055,0.0013583221,0.000634997,0.0024513705,0.0011989413,0.0006809468,0.0011846257,0.00034899797,0.002407222],"category_scores_gemma":[0.0019203365,0.00029309187,0.0014842461,0.0023266731,0.0004023036,0.00013365914,0.00050131546,0.00044493456,0.0002274928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013278751,0.0003058702,0.8232213,0.00016179551,0.0016285959,0.0010233069,0.0010228665,0.056045257,0.032143302,0.0023892464,0.003673988,0.077056564],"study_design_scores_gemma":[0.00008684218,0.0003590721,0.9135515,0.000037286398,0.00067099556,0.00033938503,0.00029852413,0.07407419,0.003192193,0.00028245454,0.0070186206,0.000088911496],"about_ca_topic_score_codex":0.9101552,"about_ca_topic_score_gemma":0.93849266,"teacher_disagreement_score":0.08984482,"about_ca_system_score_codex":0.013102699,"about_ca_system_score_gemma":0.0104570845,"threshold_uncertainty_score":0.1807478},"labels":[],"label_agreement":null},{"id":"W2564897539","doi":"","title":"Defining a Parameter Space for GMACE","year":2016,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Trait; Statistics; Biology; Residual; Genomic information; Econometrics; Mathematics; Genetics; Computer science; Genome; Gene","score_opus":0.020750509143528013,"score_gpt":0.29130091075535935,"score_spread":0.27055040161183136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564897539","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09031916,0.0003433761,0.9050844,0.0006269715,0.00003108721,0.00013285542,0.00037066697,0.0005996032,0.0024919696],"genre_scores_gemma":[0.7323373,0.00018506257,0.2638114,0.00026836657,0.00005215153,0.00060641445,0.0014833352,0.00021796221,0.0010380184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9932231,0.0042532617,0.00035924272,0.0012845115,0.0005659945,0.00031400687],"domain_scores_gemma":[0.9642679,0.028146401,0.0020065121,0.0034678266,0.001688112,0.00042314557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015369901,0.0017386765,0.001313027,0.0017075366,0.0008147171,0.0032631815,0.002158272,0.001606755,0.002308389],"category_scores_gemma":[0.053005606,0.0009004535,0.0019158771,0.0009904555,0.002210183,0.0031690234,0.005115755,0.004008793,0.0004910476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047452672,0.00019229954,0.028017262,0.00025492758,0.0003831172,0.00022173347,0.00052701717,0.82578874,0.003802856,0.05431909,0.0014979775,0.08452045],"study_design_scores_gemma":[0.00006780875,0.00018398433,0.0050075226,0.00010973077,0.000066267974,0.00012522924,0.00019520866,0.9525279,0.0023437543,0.036198374,0.0030834938,0.00009066487],"about_ca_topic_score_codex":0.0029766806,"about_ca_topic_score_gemma":0.0016281975,"teacher_disagreement_score":0.015369901,"about_ca_system_score_codex":0.0010974392,"about_ca_system_score_gemma":0.0013865854,"threshold_uncertainty_score":0.08128482},"labels":[],"label_agreement":null},{"id":"W2572600270","doi":"","title":"Parentage Analysis Services for Dairy Cattle in Canada","year":2016,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Commission; Canadian Dairy Network","funders":"","keywords":"Sire; SNP; Imputation (statistics); Biology; Genotype; SNP genotyping; Genetics; Single-nucleotide polymorphism; Statistics; Animal science; Mathematics; Missing data; Gene","score_opus":0.014916515131952413,"score_gpt":0.26525209184650683,"score_spread":0.2503355767145544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572600270","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05019202,0.014391151,0.02560112,0.01566391,0.0026356706,0.0017978984,0.15251514,0.02400148,0.71320164],"genre_scores_gemma":[0.15670685,0.01246884,0.07237576,0.008446045,0.00053553935,0.0009984979,0.1253111,0.0027223271,0.62043494],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828714,0.00008927294,0.00006253032,0.00022663285,0.0011153751,0.0002191945],"domain_scores_gemma":[0.9932365,0.0003531892,0.0002971903,0.00028993294,0.0049161008,0.00090714154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018351059,0.0005386372,0.000398462,0.002389568,0.002424242,0.0017496921,0.0017226827,0.00062188046,0.11400487],"category_scores_gemma":[0.0038122642,0.00035958714,0.00033143058,0.0028453954,0.00039720707,0.00048297792,0.0009665935,0.0007769028,0.022228468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028562773,0.000072602845,0.03109698,0.00017423928,0.00002656511,0.00042338026,0.00051853526,0.00024268111,0.002934394,0.0026792951,0.6106315,0.35091418],"study_design_scores_gemma":[0.00006983946,0.000060272654,0.08110896,0.00022300618,0.000032461954,0.00037967096,0.0005482139,0.0010782661,0.0012036106,0.00075785123,0.91448545,0.000052391864],"about_ca_topic_score_codex":0.911752,"about_ca_topic_score_gemma":0.94201785,"teacher_disagreement_score":0.11400487,"about_ca_system_score_codex":0.01556418,"about_ca_system_score_gemma":0.04243146,"threshold_uncertainty_score":0.3813843},"labels":[],"label_agreement":null},{"id":"W2761730640","doi":"","title":"Options for incorporating feed intake into national selection indexes","year":2017,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","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":"University of Guelph","funders":"","keywords":"Residual feed intake; Selection (genetic algorithm); Context (archaeology); Feed conversion ratio; Biotechnology; Biology; Statistics; Genomic selection; Production (economics); Index selection; Animal science; Mathematics; Body weight; Computer science; Genotype","score_opus":0.035716067157141436,"score_gpt":0.32573322466598065,"score_spread":0.2900171575088392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761730640","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.532949,0.00029486694,0.4436444,0.00043689428,0.000064335334,0.00029820946,0.0015126162,0.0018882294,0.0189115],"genre_scores_gemma":[0.8161278,0.00013959482,0.18078683,0.00009860333,0.000013491564,0.00021932986,0.0010469352,0.00012915263,0.0014382296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867284,0.00068947324,0.00011350176,0.00019453032,0.00023578116,0.000093827526],"domain_scores_gemma":[0.9962846,0.0019399619,0.00035952317,0.0007621441,0.00056098355,0.00009283204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049759243,0.000601988,0.00069227774,0.0006528647,0.0003339021,0.0015157481,0.0013724399,0.0005580412,0.001910146],"category_scores_gemma":[0.011518091,0.0003995171,0.00072753057,0.0010303736,0.0002878598,0.0012822389,0.00086460455,0.0006609717,0.00029783093],"study_design_candidate":"theoretical_or_conceptual","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":[0.0003002409,0.000259387,0.051413484,0.00008108852,0.0002927602,0.00007980616,0.00019399177,0.84421563,0.0026616228,0.013959558,0.0007482099,0.08579414],"study_design_scores_gemma":[0.00006706132,0.0003120026,0.01589672,0.000053539017,0.00011123872,0.000056184443,0.00010162885,0.9622634,0.0033048352,0.012452731,0.0053106016,0.0000700974],"about_ca_topic_score_codex":0.0056694723,"about_ca_topic_score_gemma":0.008883896,"teacher_disagreement_score":0.0056694723,"about_ca_system_score_codex":0.0010280415,"about_ca_system_score_gemma":0.00074033946,"threshold_uncertainty_score":0.02631557},"labels":[],"label_agreement":null},{"id":"W2798697050","doi":"","title":"Effect of number of bulls on sire variance estimation","year":2002,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sire; Estimation; Variance (accounting); Statistics; Variance components; Econometrics; Mathematics; Biology; Animal science; Economics","score_opus":0.014731252305090805,"score_gpt":0.2930083376490298,"score_spread":0.27827708534393897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798697050","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":[0.7575175,0.003654756,0.22351949,0.00061756023,0.0005805382,0.0006578592,0.0016272151,0.0018861432,0.009938849],"genre_scores_gemma":[0.9030972,0.00034037733,0.088520765,0.00038107167,0.000057615493,0.00041919845,0.0009922407,0.0008331034,0.0053583942],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8735518,0.104692206,0.004132216,0.0108284755,0.0050099404,0.0017853138],"domain_scores_gemma":[0.5654115,0.40279874,0.0064410316,0.016179198,0.007617045,0.00155245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.086722635,0.0011726198,0.002092459,0.0013320588,0.0010423651,0.0018525452,0.0017697664,0.0016039677,0.0057850685],"category_scores_gemma":[0.20427898,0.0009350507,0.0016387718,0.0018865417,0.0012723004,0.00199276,0.0016763111,0.0019165967,0.0010783153],"study_design_candidate":"simulation_or_modeling","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":[0.024770105,0.001751311,0.49480632,0.0012624713,0.004930396,0.00093338423,0.004112189,0.05702718,0.0266372,0.005112093,0.008594365,0.37006295],"study_design_scores_gemma":[0.0004645527,0.00499954,0.82514375,0.00032416917,0.0034435948,0.0011270065,0.0009947058,0.11130769,0.034378536,0.0033362813,0.014135741,0.00034442174],"about_ca_topic_score_codex":0.009116596,"about_ca_topic_score_gemma":0.012882307,"teacher_disagreement_score":0.086722635,"about_ca_system_score_codex":0.0012780696,"about_ca_system_score_gemma":0.0009393525,"threshold_uncertainty_score":0.4586386},"labels":[],"label_agreement":null},{"id":"W2916620889","doi":"","title":"Mendelian Sampling variance tests with genomic preselection","year":2019,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Dairy Commission","funders":"","keywords":"Mendelian inheritance; Variance (accounting); Biology; Statistics; Test (biology); Computer science; Genetics; Mathematics; Accounting; Gene","score_opus":0.02062663231016244,"score_gpt":0.27805035264849376,"score_spread":0.25742372033833133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916620889","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":[0.14758433,0.00059095595,0.83498305,0.00032233898,0.00055286137,0.0010516524,0.0030631432,0.0031896106,0.008661963],"genre_scores_gemma":[0.54379225,0.00016637263,0.44334504,0.0003659784,0.00018396294,0.0028923694,0.003940476,0.0013996004,0.003913967],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9287361,0.04364828,0.0038676502,0.009355025,0.012693843,0.0016991578],"domain_scores_gemma":[0.8077278,0.1580681,0.007222906,0.016746946,0.0091106,0.00112357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039703093,0.0012290172,0.0021554756,0.0036088459,0.0014088309,0.0020922937,0.0033644454,0.0014959516,0.00941106],"category_scores_gemma":[0.16846846,0.00062930165,0.002650657,0.0032257836,0.0022711977,0.0017248137,0.0018081227,0.0031838377,0.0013180715],"study_design_candidate":"simulation_or_modeling","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":[0.006379609,0.00080261216,0.22699092,0.001511461,0.006649566,0.002488254,0.0026435042,0.02327148,0.01850419,0.07182093,0.025020678,0.61391675],"study_design_scores_gemma":[0.0016239798,0.005076142,0.37188777,0.0006176392,0.0017943251,0.003966673,0.0013459523,0.39063266,0.052695923,0.08544605,0.08422306,0.0006898831],"about_ca_topic_score_codex":0.006338417,"about_ca_topic_score_gemma":0.0040106894,"teacher_disagreement_score":0.039703093,"about_ca_system_score_codex":0.0015341245,"about_ca_system_score_gemma":0.0022785293,"threshold_uncertainty_score":0.2099725},"labels":[],"label_agreement":null},{"id":"W2918486065","doi":"","title":"Implementation of genomic evaluation for digital dermatitis in Canada","year":2018,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hoof; Population; Heritability; Medicine; Biology; Veterinary medicine; Genetics; Environmental health; Anatomy","score_opus":0.06565962095498364,"score_gpt":0.37389101191465324,"score_spread":0.3082313909596696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918486065","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":[0.7900923,0.0017146524,0.05879123,0.007671351,0.0003744268,0.012528721,0.035935327,0.003303429,0.089588664],"genre_scores_gemma":[0.7789333,0.0020941603,0.16059192,0.0021858152,0.00006499937,0.002922815,0.025121914,0.00032409647,0.027761007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952468,0.00077770115,0.00018374229,0.0005564189,0.0023988942,0.0008364125],"domain_scores_gemma":[0.9861413,0.00070866157,0.0004698451,0.0007126218,0.010735279,0.0012321752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007705518,0.00043244925,0.00031749517,0.0020631058,0.00218058,0.0015998869,0.0016552141,0.00032706038,0.0035190315],"category_scores_gemma":[0.0078191515,0.00027469054,0.00043812074,0.00218476,0.0006903332,0.00039820964,0.0014299095,0.00061425293,0.00068379723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084943406,0.0009375114,0.48456225,0.00037330092,0.00015001597,0.00084838073,0.004999112,0.0052671037,0.01773222,0.00412625,0.05089486,0.42925966],"study_design_scores_gemma":[0.000095125375,0.00064704445,0.89644235,0.00026582318,0.000087746506,0.00016926782,0.0025603164,0.0073547345,0.0056840414,0.000506998,0.08611085,0.000075544755],"about_ca_topic_score_codex":0.95909756,"about_ca_topic_score_gemma":0.97020197,"teacher_disagreement_score":0.040902436,"about_ca_system_score_codex":0.031374905,"about_ca_system_score_gemma":0.07983321,"threshold_uncertainty_score":0.22764188},"labels":[],"label_agreement":null},{"id":"W2980825957","doi":"","title":"The Effect of Synchronized Breeding on Genetic Evaluations of Fertility Traits in Dairy Cattle","year":2019,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"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 Guelph","funders":"","keywords":"Herd; Artificial insemination; Biology; Ice calving; Animal science; Population; Insemination; Genetic correlation; Dairy cattle; Ovulation; Statistics; Demography; Mathematics; Genetic variation; Hormone; Genetics; Endocrinology; Lactation; Pregnancy","score_opus":0.022234309772846586,"score_gpt":0.28682038067019194,"score_spread":0.26458607089734537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980825957","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":[0.99849296,0.000040110466,0.001337858,0.0000071026543,0.0000015188663,0.000004461677,0.000036269284,0.00000693084,0.00007285183],"genre_scores_gemma":[0.99882,0.000022902963,0.0010088444,0.0000051192587,0.0000014929109,0.0000062309896,0.00009860099,0.0000034891204,0.000033247114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996783,0.0021103271,0.00015619192,0.00054469146,0.00026788836,0.00013801422],"domain_scores_gemma":[0.9853695,0.010554888,0.0022269527,0.0011254811,0.0004825143,0.00024069514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005266715,0.00034274685,0.00036297867,0.00052776706,0.0002093794,0.0005313673,0.00043947014,0.00042401775,0.00042968497],"category_scores_gemma":[0.016156472,0.00028800147,0.0007042734,0.0004354024,0.0006181588,0.0004841155,0.00047487466,0.00024803705,0.00005123727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011637724,0.00012740314,0.7702789,0.000070445305,0.0007308522,0.00032815113,0.0003302806,0.19621636,0.014362515,0.0005747827,0.00009801502,0.015718594],"study_design_scores_gemma":[0.00011748468,0.0018338725,0.78522754,0.000027594006,0.0003793049,0.00022541563,0.00020296399,0.20514522,0.005624119,0.00084339106,0.0003272074,0.00004586275],"about_ca_topic_score_codex":0.0045600836,"about_ca_topic_score_gemma":0.0048651104,"teacher_disagreement_score":0.005266715,"about_ca_system_score_codex":0.00069223583,"about_ca_system_score_gemma":0.00047207106,"threshold_uncertainty_score":0.02785337},"labels":[],"label_agreement":null},{"id":"W2981900870","doi":"","title":"Comparing the use of dry matter intake and residual feed intake to improve feed efficiency in Holstein cattle.","year":2019,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Residual feed intake; Dry matter; Feed conversion ratio; Animal science; Dairy cattle; Residual; Biotechnology; Selection (genetic algorithm); Biology; Agronomy; Mathematics; Body weight; Computer science","score_opus":0.030222867441926645,"score_gpt":0.26797227197140894,"score_spread":0.2377494045294823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981900870","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":[0.99819934,0.00030012577,0.0008842888,0.00002103816,0.0000017671334,0.000015422467,0.000106412095,0.0000061697433,0.00046535596],"genre_scores_gemma":[0.9973381,0.00017157792,0.0018276859,0.000013321879,0.0000010917477,0.000010199258,0.00016462746,0.0000027367703,0.00047075024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943525,0.00018402208,0.000021607499,0.00009419136,0.00020145753,0.00006345699],"domain_scores_gemma":[0.9993024,0.00033446314,0.00017110357,0.00003699764,0.000089170644,0.00006589255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011631609,0.00025854717,0.00023368509,0.00038777766,0.00018476501,0.0004905131,0.00040661282,0.00019706585,0.00021635563],"category_scores_gemma":[0.001090457,0.000088666675,0.00035174683,0.00042816394,0.00025531318,0.00018241479,0.00020280395,0.00020343375,0.0000325531],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01005715,0.0013539817,0.6590309,0.0005280879,0.0020714297,0.00020684085,0.0005823811,0.0873682,0.12857865,0.0021875403,0.0002781806,0.10775672],"study_design_scores_gemma":[0.000076403594,0.0067103175,0.9336051,0.000021444588,0.0005456011,0.00008143419,0.0002255992,0.03417944,0.022683632,0.0003666781,0.0014765043,0.000027899167],"about_ca_topic_score_codex":0.10935961,"about_ca_topic_score_gemma":0.2114328,"teacher_disagreement_score":0.10935961,"about_ca_system_score_codex":0.0038704409,"about_ca_system_score_gemma":0.001574994,"threshold_uncertainty_score":0.21744615},"labels":[],"label_agreement":null},{"id":"W3201086905","doi":"","title":"Genomic evaluation for feed efficiency in Canadian Holsteins","year":2021,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","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":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Heritability; Residual feed intake; Animal science; Lactation; Dry matter; Biology; Feed conversion ratio; Body weight; Statistics; Mathematics; Genetics","score_opus":0.024345933760300104,"score_gpt":0.29158022913199155,"score_spread":0.26723429537169147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201086905","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":[0.91736305,0.0008594665,0.03059854,0.00025796628,0.0000373739,0.00027866638,0.03953006,0.00082548725,0.010249364],"genre_scores_gemma":[0.9233041,0.00052565616,0.03431313,0.00013894023,0.000011262538,0.0001988413,0.034155913,0.00017579543,0.007176425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985411,0.00018907494,0.00005321302,0.00032685115,0.0006413267,0.00024834907],"domain_scores_gemma":[0.99869376,0.00022019724,0.0001967425,0.000110390436,0.00063584093,0.00014298942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023814463,0.0011320922,0.0005890101,0.0024173683,0.0010278191,0.0009685414,0.0011488326,0.0003928639,0.0033489352],"category_scores_gemma":[0.00333718,0.00021559166,0.0009734228,0.003145236,0.0004886411,0.00019217655,0.0005924338,0.0003958751,0.00038612675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015485715,0.00020605129,0.7710363,0.00023251656,0.00090478687,0.0007026905,0.00071084476,0.04345471,0.016825471,0.00402798,0.009175363,0.15117462],"study_design_scores_gemma":[0.00006247024,0.00020323586,0.9467351,0.00006673657,0.0003080813,0.00018965792,0.00023125575,0.03242332,0.0038809963,0.0006589365,0.015171099,0.00006901747],"about_ca_topic_score_codex":0.85638905,"about_ca_topic_score_gemma":0.8730974,"teacher_disagreement_score":0.14361095,"about_ca_system_score_codex":0.012874639,"about_ca_system_score_gemma":0.008207244,"threshold_uncertainty_score":0.28891337},"labels":[],"label_agreement":null},{"id":"W3201340411","doi":"","title":"Genomic Evaluation for Resistance to Fertility Disorders in Canadian Dairy Breeds","year":2021,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heritability; Fertility; Biology; Trait; Lactation; Ice calving; Genetic correlation; Genetics; Dairy cattle; Metritis; Animal science; Veterinary medicine; Demography; Genetic variation; Pregnancy; Gene; Medicine; Population","score_opus":0.01999720314921405,"score_gpt":0.29034092145024065,"score_spread":0.2703437183010266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201340411","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":[0.9719204,0.0002778824,0.009399852,0.00012605032,0.000010072016,0.00021830344,0.011271875,0.0003148523,0.006460673],"genre_scores_gemma":[0.962482,0.00027246517,0.019302914,0.000065120614,0.000005425737,0.00011439012,0.012585133,0.00007426772,0.005098334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991609,0.00010466661,0.000028915849,0.00018759294,0.00037415946,0.00014380315],"domain_scores_gemma":[0.9990771,0.00017457026,0.00015114411,0.000056319328,0.00043036795,0.00011042912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014546065,0.000871281,0.00039979484,0.0021995625,0.0009848657,0.00067672227,0.0007646865,0.00026998142,0.0022452776],"category_scores_gemma":[0.0019365897,0.00018538389,0.00086309575,0.0022976473,0.00041475493,0.00013142709,0.0005124217,0.00029289132,0.00021650277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014467653,0.00022937478,0.7722579,0.0002209044,0.0006487335,0.0009388648,0.0014003806,0.038082708,0.04668038,0.0023577379,0.0062655453,0.12947065],"study_design_scores_gemma":[0.000049547984,0.000212328,0.9603251,0.000024760871,0.00026777724,0.00020413112,0.00031812044,0.02270426,0.005567985,0.00023063332,0.010041551,0.00005373235],"about_ca_topic_score_codex":0.84955007,"about_ca_topic_score_gemma":0.9121554,"teacher_disagreement_score":0.15044993,"about_ca_system_score_codex":0.012657487,"about_ca_system_score_gemma":0.00789845,"threshold_uncertainty_score":0.3026719},"labels":[],"label_agreement":null},{"id":"W3201564234","doi":"","title":"Implementation of Feed Saved evaluations in the U.S.","year":2021,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residual feed intake; Feed conversion ratio; Herd; Animal science; Agricultural science; Population; Dairy cattle; Manure; Animal feed; Biotechnology; Culling; Biology; Body weight; Agronomy; Medicine; Environmental health","score_opus":0.026562771264580225,"score_gpt":0.3372873501706331,"score_spread":0.3107245789060529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201564234","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":[0.5824571,0.0027551288,0.038284592,0.023104338,0.0012896626,0.0038729503,0.046719443,0.0028109725,0.29870576],"genre_scores_gemma":[0.8230459,0.0018229055,0.1029896,0.011916063,0.0001753719,0.0027823437,0.025929252,0.0002734907,0.031065214],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99434537,0.0022835983,0.00040086635,0.0005535452,0.0019810316,0.00043551368],"domain_scores_gemma":[0.987472,0.0017214023,0.001349613,0.0010676114,0.0070883594,0.0013009864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012455124,0.00035724725,0.00024200082,0.0016313918,0.0008350123,0.0010716935,0.001112539,0.0005249763,0.004546923],"category_scores_gemma":[0.011319313,0.00026215834,0.00031612813,0.0016150761,0.00038977904,0.0005774042,0.0013467842,0.00074969145,0.0010561092],"study_design_candidate":"observational","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":[0.0008167042,0.0012199935,0.29672378,0.00020476544,0.00012917178,0.00017257586,0.0010052908,0.003627701,0.004120375,0.0061799437,0.13088901,0.5549108],"study_design_scores_gemma":[0.00013274171,0.0019174922,0.6995032,0.0005547493,0.00006658327,0.00011911936,0.001597287,0.00914681,0.0042782137,0.0013900304,0.28122458,0.00006916397],"about_ca_topic_score_codex":0.1526908,"about_ca_topic_score_gemma":0.20476192,"teacher_disagreement_score":0.1526908,"about_ca_system_score_codex":0.0051626004,"about_ca_system_score_gemma":0.009839147,"threshold_uncertainty_score":0.30360407},"labels":[],"label_agreement":null}]}