{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":52,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":52,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"c9fcf5abbd20","filters":{"venue":"Human Genomics"}},"results":[{"id":"W2074420089","doi":"10.1186/1479-7364-1-4-274","title":"The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs","year":2004,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":274,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Process Research Ortech (Canada)","funders":"National Human Genome Research Institute","keywords":"Biology; Single-nucleotide polymorphism; Genetics; Locus (genetics); Evolutionary biology; Population; Human genetics; Gene; Genotype; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.03019849982870071,"gpt":0.2557298241547206,"spread":0.2255313243260199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009515657,0.00008214052,0.00008421407,0.00002264048,0.0002436949,0.00002144126,0.0001173315,0.00008711205,0.000002927306],"category_scores_gemma":[0.0000133333,0.00007281592,0.00004650267,0.00004136019,0.00003918512,0.00000243035,0.00005440776,0.00005191117,0.000001086774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004856477,"about_ca_system_score_gemma":0.00003268431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003680738,"about_ca_topic_score_gemma":0.0003956555,"domain_scores_codex":[0.9994384,0.00002079378,0.0001919213,0.0001458878,0.00005868985,0.0001442939],"domain_scores_gemma":[0.9996825,0.000003152282,0.00009747818,0.0001595726,0.00003041308,0.00002688495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004992384,0.00003608113,0.1137072,0.00001780683,0.00002663901,0.000002345594,0.0001754269,0.05563707,0.8219231,0.007874168,0.00008846128,0.0004617442],"study_design_scores_gemma":[0.0005908344,0.0000669638,0.9865555,0.00001252949,0.00002019291,0.00001582026,0.0001214431,0.0003272905,0.00523234,0.005165185,0.001736028,0.0001558734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989852,0.0001597583,0.0004918161,0.00003075676,0.00009424737,0.00009695913,0.00007617219,0.000004210233,0.00006082603],"genre_scores_gemma":[0.9987209,0.0000310859,0.0005377775,0.00001552101,0.00009209718,9.433879e-7,0.0005525606,0.000006284417,0.00004282978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8728483,"threshold_uncertainty_score":0.2969347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168533552","doi":"10.1186/1479-7364-8-11","title":"Ranking non-synonymous single nucleotide polymorphisms based on disease concepts","year":2014,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":234,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Nutrition, Metabolism and Diabetes; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Medical Research Council; University of Bristol","keywords":"Exome sequencing; Context (archaeology); Biology; Computational biology; Human genetics; Exome; Disease; False positive paradox; Weighting; Genetics; Mutation; Computer science; Machine learning; Gene; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01041264230803345,"gpt":0.2362407205693048,"spread":0.2258280782612714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001197402,0.0002387908,0.0001741455,0.00005931752,0.0002453708,0.00006845222,0.0002863736,0.00009057501,0.00006775852],"category_scores_gemma":[0.00003124683,0.0002453347,0.0001636652,0.00003668386,0.0001084526,0.000002565089,0.0000900606,0.00007546717,0.00006864526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004104692,"about_ca_system_score_gemma":0.00008531133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001209382,"about_ca_topic_score_gemma":0.00001240771,"domain_scores_codex":[0.9987992,0.00005087092,0.0002184205,0.0004709949,0.0001227547,0.0003377329],"domain_scores_gemma":[0.9989538,0.00001527627,0.0001055986,0.0006107259,0.00005032472,0.0002642778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004199035,0.0004667047,0.002315815,0.00004090811,0.00005262591,0.00003734785,0.0000767064,0.004947194,0.9843743,0.00054417,0.003723073,0.003001266],"study_design_scores_gemma":[0.01143908,0.003819807,0.08543769,0.0002020613,0.0004416138,0.00002532778,0.0002046535,0.01934128,0.2440946,0.002336757,0.6284876,0.004169498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934911,0.0002036753,0.001255325,0.00008466962,0.0002688834,0.0002061742,0.00006935956,0.00002511119,0.004395759],"genre_scores_gemma":[0.995896,0.0000120501,0.0002844202,0.00204381,0.0007389343,0.00001602094,0.0004691542,0.00006789652,0.000471717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7402797,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105799757","doi":"10.1186/1479-7364-4-2-79","title":"Identifying positive selection candidate loci for high-altitude adaptation in Andean populations","year":2009,"lang":"en","type":"article","venue":"Human Genomics","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":219,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Fogarty International Center; National Heart, Lung, and Blood Institute; U.S. Public Health Service; Wenner-Gren Foundation; National Institutes of Health; National Science Foundation","keywords":"Biology; Genetics; Natural selection; Gene; Candidate gene; Single-nucleotide polymorphism; Human genetics; Adaptation (eye); Balancing selection; Phenotype; Population; Effects of high altitude on humans; Computational biology; Genotype; Evolutionary biology; Genetic variation","retraction":null,"screen_n_in":null,"score":{"opus":0.03109097144876503,"gpt":0.2997317069484756,"spread":0.2686407354997106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009035183,0.00009238513,0.00009093587,0.00006883151,0.0001713508,0.00003664869,0.00006817037,0.00008541811,0.000007400391],"category_scores_gemma":[0.000008656671,0.0001087012,0.00003540974,0.00005325645,0.00001275059,0.000007614355,0.00001331645,0.00005287363,0.000004235613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006041434,"about_ca_system_score_gemma":0.00003864798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001841626,"about_ca_topic_score_gemma":0.00486279,"domain_scores_codex":[0.9993736,0.00001989121,0.0001725594,0.0002184907,0.00004629798,0.0001691643],"domain_scores_gemma":[0.9997419,0.000002557833,0.00006337762,0.0001014003,0.00005496992,0.0000357803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009646655,0.0000942737,0.002979078,0.00001054692,0.00003016619,0.000001710562,0.0005510644,0.002957652,0.9793989,0.01124376,0.0006952649,0.001941107],"study_design_scores_gemma":[0.00459973,0.001563992,0.7701048,0.00003934962,0.0001282291,0.00002007585,0.0004242644,0.002578618,0.1918833,0.02070556,0.006948626,0.00100351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776383,0.0001102125,0.02164876,0.00006312958,0.00006085366,0.0002707298,0.0000263795,0.00001088295,0.0001707753],"genre_scores_gemma":[0.9939284,0.00002751482,0.004072859,0.0001830313,0.0002218759,0.00001491351,0.001302436,0.00001281911,0.0002361769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7875156,"threshold_uncertainty_score":0.4432708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137137328","doi":"10.1186/1479-7364-2-2-81","title":"Large-scale SNP analysis reveals clustered and continuous patterns of human genetic variation","year":2005,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute of Nursing Research; National Human Genome Research Institute; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Population stratification; Biology; Population; Genetic association; Evolutionary biology; Genetics; Population genetics; Human genetics; Ancestry-informative marker; Genetic variation; Single-nucleotide polymorphism; Allele frequency; Allele; Gene; Genotype; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.01393691039341714,"gpt":0.2691328554359451,"spread":0.255195945042528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003298183,0.0001284212,0.0003115959,0.00008678312,0.000132934,0.00001359537,0.0001266105,0.0001767894,0.0000643632],"category_scores_gemma":[0.00002164602,0.0001388635,0.0001094214,0.0000644784,0.00003377839,0.000002211116,0.0001077215,0.00005559794,0.000003647396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002492554,"about_ca_system_score_gemma":0.00001502545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006340264,"about_ca_topic_score_gemma":0.0009925214,"domain_scores_codex":[0.9988505,0.0001081019,0.0004384935,0.000311473,0.00006023342,0.000231177],"domain_scores_gemma":[0.9992257,0.00001233428,0.0002792652,0.0003374279,0.0000836126,0.00006160663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001433296,0.0001130648,0.5970244,0.0000198508,0.0005130587,4.834967e-7,0.0009771097,0.001457243,0.3987077,0.0001482283,0.0004366824,0.000587857],"study_design_scores_gemma":[0.0006152673,0.0002090713,0.9933338,0.000002841113,0.0003158236,0.000002637867,0.0001969298,0.0008061309,0.001792531,0.0002332843,0.002308797,0.0001828449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886611,0.0002999874,0.0104632,0.0000619474,0.00002487565,0.0001403618,0.00009158121,0.000006319237,0.000250651],"genre_scores_gemma":[0.9947484,0.0001165241,0.003508707,0.0001998343,0.0002193839,0.00001041914,0.0003875599,0.00001651011,0.0007927142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3969152,"threshold_uncertainty_score":0.5662689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116470416","doi":"10.1186/1479-7364-7-16","title":"Rank-based genome-wide analysis reveals the association of Ryanodine receptor-2 gene variants with childhood asthma among human populations","year":2013,"lang":"en","type":"article","venue":"Human Genomics","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Population Health Research Institute","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Biology; Genetics; Single-nucleotide polymorphism; Genome-wide association study; Genetic association; SNP; Imputation (statistics); Linkage disequilibrium; Population; Haplotype; Allele; Genotype; Gene; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01314763969761142,"gpt":0.2412974453691385,"spread":0.228149805671527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003362142,0.0002238645,0.0005217839,0.0002883877,0.0004508852,0.00005172491,0.0001881651,0.0001253881,0.001060067],"category_scores_gemma":[0.00006910386,0.0001564514,0.0002579789,0.0005233032,0.0001109522,0.00009516773,0.00003580442,0.0001823889,0.00005210526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420357,"about_ca_system_score_gemma":0.000113187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001451192,"about_ca_topic_score_gemma":0.0002198084,"domain_scores_codex":[0.998288,0.0001464328,0.0005683766,0.0003171146,0.0003770656,0.0003030403],"domain_scores_gemma":[0.9982231,0.00006283433,0.0005947613,0.0006137762,0.0003312039,0.0001743701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000298046,0.0003256474,0.9748849,0.00002564217,0.0008055503,0.00000321213,0.0003947891,0.002020071,0.02048329,0.00009735033,0.0007742985,0.0001554705],"study_design_scores_gemma":[0.001344221,0.0002198773,0.9956647,0.00002351217,0.001072444,8.190183e-7,0.000116118,0.0001330238,0.0005196383,0.00009084232,0.0006333073,0.0001815634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975308,0.0001365698,0.0004174939,0.0002510989,0.00003314466,0.0008357083,0.00006220576,0.00004936938,0.0006836733],"genre_scores_gemma":[0.9967658,0.000005815548,0.0007146819,0.0004307671,0.0002197329,0.00005835142,0.000736938,0.00004480038,0.001023143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077976,"threshold_uncertainty_score":0.9998531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2944929935","doi":"10.1186/s40246-019-0205-7","title":"Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University Health Network","funders":"National Institute on Aging; University of California, Irvine; National Center for Research Resources; University of Texas Health Science Center at San Antonio; University of California, Davis; Goddard Space Flight Center; Kaiser Foundation Research Institute; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Wake Forest School of Medicine; University of Alabama; University of Alabama at Birmingham; University of Minnesota; University of California, Los Angeles; National Institutes of Health; U.S. Department of Health and Human Services; Case Western Reserve University; National Heart, Lung, and Blood Institute; Northwestern University; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University","keywords":"Genome-wide association study; Diabetic nephropathy; Kidney disease; End-stage kidney disease; Type 2 diabetes; Diabetes mellitus; Biology; Genetics; Nephropathy; Disease; Genotype; Genetic association; Medicine; Internal medicine; Bioinformatics; Endocrinology; Single-nucleotide polymorphism; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03227125460448566,"gpt":0.2938081255080696,"spread":0.261536870903584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004254096,0.0002523015,0.0005460675,0.0002164276,0.0001101305,0.00006905626,0.0001836733,0.00007572024,0.0007038711],"category_scores_gemma":[0.000808989,0.0002668928,0.0001552449,0.000302594,0.00004364673,0.0001063093,0.00009328602,0.000173752,0.0001486214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267837,"about_ca_system_score_gemma":0.0006962555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009904953,"about_ca_topic_score_gemma":0.00006534012,"domain_scores_codex":[0.9981124,0.00004903325,0.0004518463,0.0004969832,0.0002967252,0.0005929799],"domain_scores_gemma":[0.9982839,0.000225121,0.0002397917,0.0005245491,0.0001803941,0.0005462413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001625397,0.001089952,0.9792305,0.0002083836,0.0002595386,0.000006829513,0.000707404,0.00009279014,0.01466382,0.00003169029,0.003507584,0.00003897669],"study_design_scores_gemma":[0.00558269,0.0004787356,0.9545293,0.0000331829,0.0004009544,4.657726e-8,0.0009312821,0.0004128787,0.0002526886,0.000114953,0.03692592,0.0003373895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995544,0.0002283306,0.00002750232,0.0004684298,0.000206714,0.002078487,0.0009893316,0.00007641836,0.0003807708],"genre_scores_gemma":[0.9901911,0.00001802864,0.00006904047,0.00153867,0.0001672755,0.0001213933,0.002776751,0.00006525656,0.005052482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03341834,"threshold_uncertainty_score":0.9999783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946192399","doi":"10.1186/s40246-019-0203-9","title":"Mutations in ATP13A2 (PARK9) are associated with an amyotrophic lateral sclerosis-like phenotype, implicating this locus in further phenotypic expansion","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Amyotrophic lateral sclerosis; Biology; Genetics; Exome sequencing; Trinucleotide repeat expansion; Phenocopy; Hereditary spastic paraplegia; Genetic heterogeneity; SOD1; TARDBP; C9orf72; Phenotype; Pathology; Medicine; Disease; Gene; Allele","retraction":null,"screen_n_in":null,"score":{"opus":0.04126921220657549,"gpt":0.2810951532421205,"spread":0.239825941035545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004167086,0.0003205953,0.0005744463,0.0003523033,0.0001390392,0.00007739447,0.0002903189,0.0002438313,0.0007421284],"category_scores_gemma":[0.00004016282,0.000279758,0.00006662008,0.0005612305,0.0001286929,0.0002551887,0.0001212938,0.0007188473,0.0002818173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009333143,"about_ca_system_score_gemma":0.0001751329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009415171,"about_ca_topic_score_gemma":0.00294674,"domain_scores_codex":[0.99734,0.0001965231,0.0005802926,0.0006876896,0.0004350445,0.0007604652],"domain_scores_gemma":[0.9985973,0.00006907131,0.0002354024,0.0007071056,0.0001736014,0.0002175746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000765899,0.0009153678,0.6560453,0.0001035443,0.00010777,0.00007685976,0.006656604,0.001923848,0.3307776,0.000203582,0.00007393072,0.00234963],"study_design_scores_gemma":[0.004260426,0.0005905404,0.9908903,0.0004611803,0.00003223805,0.00000600114,0.0003451511,0.002449507,0.0002114061,0.0003461466,0.00005199156,0.0003551028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974936,0.0001035871,0.000008246409,0.0002994042,0.00005351829,0.001155269,0.00001965197,0.00009533391,0.0007714105],"genre_scores_gemma":[0.9979507,0.00002907119,0.0003916017,0.0003602441,0.00009618395,0.00008448736,0.0002430337,0.0001215381,0.0007231327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.334845,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1560206742","doi":"10.1186/s40246-015-0033-3","title":"Success stories in genomic medicine from resource-limited countries","year":2015,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Genome Canada","funders":"","keywords":"Pharmacogenomics; Pace; Genomic medicine; Personalized medicine; Resource (disambiguation); Genomics; Mainstream; Public health; Precision medicine; Health informatics; Stakeholder; Health care; Data science; Medicine; Bioinformatics; Biology; Genetics; Genome; Computational biology; Political science; Computer science; Public relations; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02571682467572223,"gpt":0.2699298305124952,"spread":0.244213005836773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095724,0.0002061211,0.000240496,0.00008682968,0.00009769989,0.00003970327,0.0003478156,0.0001463798,0.00005667017],"category_scores_gemma":[0.00005128812,0.0001996724,0.00004657985,0.00006148291,0.0002044803,0.000004244711,0.0001828961,0.00009273925,0.00002875721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043409,"about_ca_system_score_gemma":0.0001621635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007126514,"about_ca_topic_score_gemma":0.00107671,"domain_scores_codex":[0.998816,0.00005743689,0.0003189806,0.0003993143,0.0001272603,0.0002810733],"domain_scores_gemma":[0.9991444,0.00001500601,0.0001090399,0.0004557965,0.00009182866,0.0001839002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001563966,0.0003746531,0.2031926,0.00007591402,0.000388721,0.0002310723,0.01038733,0.0029438,0.6813025,0.003208608,0.09525241,0.001078377],"study_design_scores_gemma":[0.003157827,0.0004124474,0.05618687,0.0000274926,0.00006299569,0.00001448499,0.00293624,0.00006084681,0.007048934,0.001757782,0.9276927,0.0006413509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923305,0.004882378,0.00003478739,0.0001783499,0.0002105164,0.000159829,0.0001332507,0.00001648769,0.002053913],"genre_scores_gemma":[0.9962938,0.000216088,0.0001239438,0.0005773118,0.0008494538,0.00001356575,0.001351077,0.00004299796,0.0005316989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324403,"threshold_uncertainty_score":0.8142406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2788593170","doi":"10.1186/s40246-018-0139-5","title":"APPLaUD: access for patients and participants to individual level uninterpreted genomic data","year":2018,"lang":"en","type":"review","venue":"Human Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill Genome Centre; McGill University","funders":"Economic and Social Research Council; Medical Research Council; Canadian Institutes of Health Research; Genome Canada; Government of Canada; Wellcome Trust; McGill University","keywords":"Raw data; Genomic medicine; Data access; Genomic sequencing; Personalized medicine; Citizen journalism; Genomic information; Genomics; Data science; Biology; World Wide Web; Computer science; Genome; Bioinformatics; Computational biology; Genetics; Database; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.2908907570014765,"gpt":0.4203827912838748,"spread":0.1294920342823984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002346441,0.0004697656,0.0007436092,0.0001195418,0.0002164998,0.0002280754,0.001830709,0.0003273441,0.00001384791],"category_scores_gemma":[0.00008101209,0.0004450763,0.0001592418,0.0000556758,0.0001028519,0.000007212844,0.003119465,0.0000967454,0.00002775807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004805268,"about_ca_system_score_gemma":0.0003133634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109427,"about_ca_topic_score_gemma":0.00007083615,"domain_scores_codex":[0.9976686,0.00005805089,0.0005663464,0.001095431,0.00009677991,0.0005147819],"domain_scores_gemma":[0.9980633,0.00002439892,0.0003056808,0.001204017,0.0001025284,0.0003000206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003474258,0.000849524,0.0008563705,0.01407943,0.004044752,0.00001253491,0.0004443999,0.00000856138,0.0008545278,0.0001164986,0.164536,0.81385],"study_design_scores_gemma":[0.0004107992,0.0003134192,0.0003280727,0.0002839654,0.0007583858,0.000004841714,0.000009665182,0.000005325639,0.0000193959,0.00002840862,0.9972579,0.0005797582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07347741,0.8983873,0.0002138022,0.000004249647,0.0003851799,0.002395989,0.02505831,0.00001506341,0.00006276626],"genre_scores_gemma":[0.004139366,0.946981,0.0008971797,0.0003063855,0.000930558,0.0002762086,0.04599298,0.0002000828,0.000276237],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.832722,"threshold_uncertainty_score":0.9998001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981736362","doi":"10.1186/s40246-019-0226-2","title":"Size matters: how sample size affects the reproducibility and specificity of gene set analysis","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sample size determination; Reproducibility; False positive paradox; Sample (material); Set (abstract data type); Data set; Computer science; Statistics; Computational biology; False discovery rate; Data mining; Biology; Gene; Genetics; Artificial intelligence; Mathematics; Chemistry; Chromatography","retraction":null,"screen_n_in":null,"score":{"opus":0.02048667910047409,"gpt":0.2585244882334746,"spread":0.2380378091330005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004649675,0.0001026611,0.0001647804,0.00002217903,0.00006921616,0.0000306304,0.0001775394,0.00007076865,0.0001027967],"category_scores_gemma":[0.0001458116,0.00008058827,0.00009170133,0.0001067737,0.00008131201,0.000002650404,0.00009194881,0.00005409392,0.000002657034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001710585,"about_ca_system_score_gemma":0.00002447045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002748685,"about_ca_topic_score_gemma":0.00003963608,"domain_scores_codex":[0.9989634,0.0000853954,0.000136822,0.0006118863,0.00008385156,0.00011867],"domain_scores_gemma":[0.9982825,0.00006792135,0.000145136,0.001415854,0.00005048807,0.00003812485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003223022,0.00002107507,0.02047683,0.00001852368,0.0001043304,7.616685e-8,0.0001286193,0.00006738536,0.9769325,0.00002876754,0.001940441,0.0002492717],"study_design_scores_gemma":[0.000349731,0.0001085758,0.2844255,0.000002974407,0.0001256553,0.00000150916,0.0004218318,0.00005867498,0.6842253,0.0001780429,0.02993136,0.000170895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998261,0.000286257,0.0003625035,0.0005958475,0.00006166306,0.0002153768,0.00005986726,0.000005268202,0.0001522656],"genre_scores_gemma":[0.9979944,0.0001077119,0.0007570027,0.0002985683,0.000103812,0.000008082116,0.00006569506,0.00001087009,0.0006538767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2927072,"threshold_uncertainty_score":0.3286294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102266861","doi":"10.1186/1479-7364-2-5-274","title":"Human SNPs resulting in premature stop codons and protein truncation","year":2006,"lang":"en","type":"article","venue":"Human Genomics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Single-nucleotide polymorphism; dbSNP; Genetics; Biology; Minor allele frequency; Human genome; SNP genotyping; Gene; Population; Allele frequency; Allele; Genotype; Genome; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01106572154938583,"gpt":0.2364871973285691,"spread":0.2254214757791832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002406797,0.0001211911,0.0001109516,0.00004487434,0.0001517361,0.00003807156,0.0001076907,0.0001638272,0.0000100468],"category_scores_gemma":[0.00001659715,0.0001277044,0.0000277195,0.00003403845,0.00003693382,0.000003468964,0.0000588285,0.00008039892,0.000003368006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002256824,"about_ca_system_score_gemma":0.0000205703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009328968,"about_ca_topic_score_gemma":0.0003397164,"domain_scores_codex":[0.9992107,0.00005766506,0.0002136922,0.0002817104,0.00006046645,0.0001757361],"domain_scores_gemma":[0.9996111,0.000003352678,0.00009429015,0.0002363371,0.00002527446,0.00002959868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001431251,0.00002758061,0.0003367898,0.0000192546,0.000004558338,0.000001605493,0.00007510987,0.00002606107,0.9961809,0.002683205,0.0001735922,0.0004570134],"study_design_scores_gemma":[0.0007327237,0.0001595214,0.01328676,0.00004263526,0.000009938694,0.000008413649,0.0001100186,0.00002371465,0.9636965,0.005202202,0.01642008,0.0003074767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963531,0.0004058565,0.00014732,0.00005067113,0.00001995662,0.0003933425,0.00001047076,0.00001195554,0.002607289],"genre_scores_gemma":[0.9955712,0.000008220466,0.001667207,0.00003777755,0.0002126838,0.00004734243,0.000133903,0.00002381223,0.002297856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0324844,"threshold_uncertainty_score":0.5207635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2040579290","doi":"10.1186/1479-7364-1-5-375","title":"Human pharmacogenomics: The development of a science","year":2004,"lang":"en","type":"article","venue":"Human Genomics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Pharmacogenomics; Pharmacogenetics; Human genetics; Drug response; Drug; Personalized medicine; Drug discovery; Precision medicine; Biology; Computational biology; Medicine; Drug development; Bioinformatics; Pharmacology; Genetics; Gene; Genotype","retraction":null,"screen_n_in":null,"score":{"opus":0.05465964264885168,"gpt":0.3490147511544778,"spread":0.2943551085056261,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296137,0.0001215973,0.0001264033,0.0001641758,0.0008792586,0.0001360544,0.002171344,0.00001896677,0.000008988208],"category_scores_gemma":[0.00001434329,0.0001017652,0.00004778199,0.0004204813,0.0005178592,0.0002888771,0.0007527818,0.0001092725,0.00003107435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625748,"about_ca_system_score_gemma":0.0009973587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001072632,"about_ca_topic_score_gemma":0.00001632875,"domain_scores_codex":[0.99861,0.00003911466,0.0003868844,0.0003434426,0.0003525614,0.0002680322],"domain_scores_gemma":[0.9990957,0.00004046163,0.0001674824,0.0004972151,0.0001259518,0.0000732303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002231216,0.0001168077,0.00004868803,0.00001414016,0.00002637169,0.000002562753,0.01777624,0.07069828,0.3553333,0.544236,0.00002626614,0.01171905],"study_design_scores_gemma":[0.00227995,0.0001659918,0.03789654,0.0000485494,0.00002831013,0.0000476512,0.0007064838,0.01584293,0.6093517,0.3225766,0.01005414,0.00100112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7902756,0.00004054135,0.2075348,0.00009766838,0.0001618481,0.0001457556,0.000001308558,0.00003620471,0.001706256],"genre_scores_gemma":[0.8082512,7.517478e-7,0.1915203,0.0001326202,0.00004753449,0.000008066326,0.00000141372,0.000007844847,0.00003029372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2540184,"threshold_uncertainty_score":0.6762635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2395907205","doi":"10.1186/s40246-016-0063-5","title":"Human genome meeting 2016","year":2016,"lang":"en","type":"article","venue":"Human Genomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; Université de Sherbrooke; McGill University; University of British Columbia","funders":"Nestec; Danone","keywords":"Human genetics; Genome Biology; Human genome; Biology; Computational biology; Genome; Genetics; Personal genomics; Genomics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.01282574438570427,"gpt":0.2470131399698772,"spread":0.2341873955841729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741803,0.0001921718,0.0001569344,0.00004877092,0.0002406337,0.00004164097,0.0003145416,0.0001347457,0.0001299434],"category_scores_gemma":[0.00003413506,0.0001603431,0.0001005824,0.00003099536,0.0001082583,0.000003138927,0.0002443378,0.00005332821,0.0001405056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008097901,"about_ca_system_score_gemma":0.00008514765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003669955,"about_ca_topic_score_gemma":0.000117751,"domain_scores_codex":[0.9988236,0.00002380649,0.000281978,0.0004221034,0.00008390682,0.0003645406],"domain_scores_gemma":[0.9991247,0.00001277712,0.0001196059,0.0005427305,0.00007118414,0.0001289777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001018052,0.0000280592,0.0006120638,0.000005832751,0.00003366534,0.000003180313,0.00003208476,0.00002223057,0.9922892,0.001266122,0.004602834,0.001094518],"study_design_scores_gemma":[0.001552156,0.0004136906,0.0105656,0.00003155017,0.00003972831,0.00001650669,0.00005022653,0.000002553683,0.1648396,0.001975948,0.8198032,0.0007092562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863389,0.0008623205,0.0005512889,0.0001282733,0.0001705886,0.0001613289,0.00009355666,0.00002376934,0.01166999],"genre_scores_gemma":[0.9919818,0.0004022903,0.0004417711,0.0004158853,0.0012324,0.00001987869,0.0001009232,0.00006356447,0.005341457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8274497,"threshold_uncertainty_score":0.6538602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129547335","doi":"10.1186/1479-7364-3-2-106","title":"Comparative genomics of aldehyde dehydrogenase 5a1 (succinate semialdehyde dehydrogenase) and accumulation of gamma-hydroxybutyrate associated with its deficiency","year":2009,"lang":"en","type":"review","venue":"Human Genomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Biology; Biochemistry; Aldehyde dehydrogenase; Succinate dehydrogenase; Enzyme","retraction":null,"screen_n_in":null,"score":{"opus":0.08895000993847206,"gpt":0.3542871516102308,"spread":0.2653371416717588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000531597,0.0008427451,0.00265377,0.0003327043,0.0002307213,0.0000384454,0.000489419,0.0005567851,0.00001374918],"category_scores_gemma":[0.00009332015,0.0007501126,0.0004083733,0.0003565402,0.0002723232,0.00001244391,0.0002928737,0.0003188983,0.000003701643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162266,"about_ca_system_score_gemma":0.000410202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001889812,"about_ca_topic_score_gemma":0.0001607926,"domain_scores_codex":[0.9966437,0.0002484749,0.001341077,0.000929856,0.0002632147,0.0005736439],"domain_scores_gemma":[0.9967708,0.00008930176,0.001968285,0.0006924,0.0003131393,0.0001660605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006777833,0.002605537,0.0003830376,0.01734771,0.0115027,0.0000887911,0.002212565,0.003008044,0.8986262,0.004763966,0.0009753288,0.05780833],"study_design_scores_gemma":[0.005728135,0.005269864,0.0006280592,0.004385432,0.009170767,0.0002123323,0.0003041263,0.0007069024,0.3005848,0.0007843007,0.6670326,0.00519266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3657835,0.6324668,0.00005286007,0.000002740873,0.00004361723,0.0007996051,0.0004306462,0.00001277559,0.0004074452],"genre_scores_gemma":[0.1780658,0.8198079,0.0003501875,0.00002113743,0.0001075865,0.00003460555,0.00132253,0.00008994074,0.0002003169],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6660573,"threshold_uncertainty_score":0.999495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3187960528","doi":"10.1186/s40246-021-00368-7","title":"Single-cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss-of-function variants regulating glial cells","year":2021,"lang":"en","type":"article","venue":"Human Genomics","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Genome Canada; SickKids Foundation; Hospital for Sick Children; McGill University","funders":"Mohammed Bin Rashid University of Medicine and Health Sciences; Al Jalila Foundation","keywords":"Transcriptome; Biology; Human genetics; Autism spectrum disorder; Loss function; Function (biology); Cell; Cell biology; Genetics; Autism; Computational biology; Gene; Phenotype; Gene expression; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.023672954942821,"gpt":0.2616954385916779,"spread":0.2380224836488569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002312599,0.0002461856,0.0003583932,0.0001826099,0.0002116434,0.0001023659,0.0004101782,0.0001545884,0.0006446562],"category_scores_gemma":[0.00007469347,0.0002942832,0.0001529838,0.000539429,0.0002773305,0.0001926524,0.0001452332,0.000301932,0.00002303874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672478,"about_ca_system_score_gemma":0.0002272489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001944106,"about_ca_topic_score_gemma":0.0001048937,"domain_scores_codex":[0.9974813,0.0002439288,0.000575163,0.0005865882,0.0004744827,0.0006384685],"domain_scores_gemma":[0.9989058,0.00008891529,0.0002828013,0.0005721919,0.0000268093,0.0001235242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000795111,0.0004357124,0.0005830976,0.0001113185,0.00001903743,0.00005548323,0.0008856111,0.0003345251,0.9895204,0.007854302,0.00004176436,0.00007926131],"study_design_scores_gemma":[0.001067233,0.0002237404,0.002916734,0.00002282227,0.00004184937,0.00002577272,0.00009205715,0.0006532612,0.9794878,0.01498559,0.000223379,0.0002597332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917939,0.0003311286,0.005597908,0.0003234768,0.0002521572,0.0002783918,0.0001160458,0.00005748443,0.001249466],"genre_scores_gemma":[0.9984744,0.000054878,0.0002442934,0.00005464271,0.00002747104,0.000005185559,0.00003439814,0.00007680913,0.001027906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01003254,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018024757","doi":"10.1186/1479-7364-2-4-252","title":"Mitochondrial DNA as a potential tool for early cancer detection","year":2005,"lang":"en","type":"article","venue":"Human Genomics","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Pyrogenesis (Canada); Ontario Genomics","funders":"","keywords":"Mitochondrial DNA; Mitochondrion; Biology; Carcinogenesis; Heteroplasmy; Somatic cell; Point mutation; DNA damage; Germline mutation; Cancer research; Cancer; Mutation; Genetics; DNA; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.01137545356497014,"gpt":0.259876378898485,"spread":0.2485009253335149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005565066,0.0001312214,0.000112885,0.00003888029,0.0001829602,0.00003460023,0.0001140646,0.0002084461,0.0002084254],"category_scores_gemma":[0.00002290469,0.0001424896,0.0001214207,0.00002511112,0.00003800175,0.000004271902,0.00004028536,0.00007102176,0.00007614909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003779217,"about_ca_system_score_gemma":0.00005981186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667813,"about_ca_topic_score_gemma":0.0003384136,"domain_scores_codex":[0.9991707,0.00002916117,0.0001918081,0.0003278059,0.00005809226,0.0002224646],"domain_scores_gemma":[0.9995665,0.000004190425,0.00007396971,0.000225004,0.00007312449,0.00005719027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000374154,0.00002608981,0.00003831356,0.000004659181,0.00003007664,7.02429e-7,0.00005599453,0.0001860824,0.9902981,0.0001092341,0.002876086,0.006000494],"study_design_scores_gemma":[0.001399559,0.0004700062,0.0003225825,0.00000178113,0.00003671919,0.00002112867,0.00001357435,0.00006887249,0.5248113,0.0001596076,0.4724813,0.000213585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807671,0.0001517081,0.0164972,0.00008627004,0.001562551,0.0003933289,0.00004400283,0.00002105346,0.0004767321],"genre_scores_gemma":[0.9778816,0.0000613888,0.002491716,0.0007432416,0.00949756,0.0001929349,0.0001755176,0.00004573703,0.008910298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4696052,"threshold_uncertainty_score":0.5810556,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143500357","doi":"10.1186/1479-7364-7-11","title":"Exome sequencing identifies nonsegregating nonsense ATM and PALB2variants in familial pancreatic cancer","year":2013,"lang":"en","type":"article","venue":"Human Genomics","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Institute for Cancer Research; Toronto General Hospital; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Cancer Institute; National Institutes of Health; Ministero dello Sviluppo Economico; W. Garfield Weston Foundation; Pancreatic Cancer Canada Foundation","keywords":"Exome sequencing; Germline; Proband; Genetics; PALB2; Biology; Exome; Nonsense; Allele; Germline mutation; Pancreatic cancer; Human genetics; Cancer; Mutation; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.06216768401602812,"gpt":0.3428165113011744,"spread":0.2806488272851463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003718743,0.0001642077,0.0005057367,0.0001615902,0.0001800975,0.0000525117,0.00007871463,0.0001262908,0.0004964769],"category_scores_gemma":[0.0001476377,0.0001490763,0.00003761335,0.0001143493,0.0002151625,0.00009910791,0.00008839731,0.0002847059,0.0001102973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401166,"about_ca_system_score_gemma":0.0003412975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007213199,"about_ca_topic_score_gemma":0.001394513,"domain_scores_codex":[0.9986221,0.0000891308,0.0003890463,0.0003059884,0.0001678599,0.0004259009],"domain_scores_gemma":[0.9992067,0.0001957727,0.00008490129,0.0002576179,0.00008949086,0.000165567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007710738,0.00006057621,0.814546,0.0002386604,0.0001210755,0.0001973839,0.00451612,0.00001056574,0.1770245,0.0001732474,0.0003654466,0.002669276],"study_design_scores_gemma":[0.002435629,0.0001836411,0.9875418,0.0002978655,0.0001429421,0.0001380085,0.002496789,0.004790807,0.0005793546,0.001087763,0.00008282335,0.0002226126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956558,0.0006645137,0.00002417491,0.0002495105,0.00006908907,0.000687906,0.000007571202,0.00002833777,0.002613077],"genre_scores_gemma":[0.9946095,0.0004735799,0.001360112,0.0002585763,0.0001807443,0.0001328607,0.00001254964,0.00002800517,0.002944052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1764452,"threshold_uncertainty_score":0.9993979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122916599","doi":"10.1186/1479-7364-2-6-403","title":"Strategies for the detection of copy number and other structural variants in the human genome","year":2006,"lang":"en","type":"review","venue":"Human Genomics","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Vetenskapsrådet; Medical Research Council; Ontario Genomics Institute; Health Canada; Howard Hughes Medical Institute","keywords":"Copy-number variation; Structural variation; Human genome; Human genetics; Biology; Genome; Genetics; Computational biology; Copy number analysis; Genomics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03235182277371566,"gpt":0.3060859604995481,"spread":0.2737341377258324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002314516,0.0002251494,0.000361224,0.00003205323,0.0002468639,0.00008264362,0.0003141336,0.0002001815,0.00001711296],"category_scores_gemma":[0.000002964305,0.0001405447,0.0001499172,0.00004347165,0.0001137094,0.00000369639,0.00006615535,0.0001171179,0.000001327132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002750561,"about_ca_system_score_gemma":0.00008689932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002262358,"about_ca_topic_score_gemma":0.0005535829,"domain_scores_codex":[0.9990339,0.00008805026,0.0004085711,0.000235571,0.00005706059,0.0001768943],"domain_scores_gemma":[0.9993191,0.00003182784,0.0002636438,0.0003397082,0.00003252965,0.00001314801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002927352,0.0008394715,0.002617199,0.05683791,0.006588832,0.00002285869,0.0172685,0.00167833,0.1839349,0.3752757,0.002223311,0.3524202],"study_design_scores_gemma":[0.0002940183,0.00009992717,0.0007669774,0.0000736884,0.0002774994,0.00005784437,0.0006690525,0.000005344642,0.00008178037,0.001651291,0.9957529,0.000269653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06403895,0.9325401,0.000394667,0.00000532714,0.0001127706,0.001245443,0.0005003797,0.000005411654,0.001157015],"genre_scores_gemma":[0.546689,0.4504816,0.0001739774,0.00007248395,0.0009457238,0.0002910994,0.0007035394,0.00009133342,0.0005511621],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9935296,"threshold_uncertainty_score":0.5731247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103079335","doi":"10.1186/1479-7364-4-2-91","title":"Cholinesterase inhibitors in Alzheimer's disease and Lewy body spectrum disorders: the emerging pharmacogenetic story","year":2009,"lang":"en","type":"review","venue":"Human Genomics","topic":"Cholinesterase and Neurodegenerative Diseases","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Health Sciences Centre; Centre for Addiction and Mental Health; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Pharmacogenetics; Human genetics; Disease; Lewy body; Medicine; Adverse effect; Pharmacodynamics; Endophenotype; Galantamine; Donepezil; Bioinformatics; Pharmacology; Dementia; Biology; Pharmacokinetics; Psychiatry; Internal medicine; Cognition; Genotype; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.05371899502416816,"gpt":0.3605834181388709,"spread":0.3068644231147027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001860097,0.0006779757,0.001182979,0.0003649154,0.0002652235,0.00008400463,0.0002255858,0.0001163948,0.00005063024],"category_scores_gemma":[0.0000245421,0.0005032361,0.000409922,0.0002342355,0.0001537593,0.00008214788,0.000123724,0.0006931907,0.00002567695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197112,"about_ca_system_score_gemma":0.0003556818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000090897,"about_ca_topic_score_gemma":0.00003888715,"domain_scores_codex":[0.9976097,0.0002890743,0.0006914044,0.0007529439,0.0002199968,0.0004368302],"domain_scores_gemma":[0.9986001,0.00009536698,0.000267696,0.000622645,0.00002198261,0.0003922285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002089575,0.001211313,0.00117078,0.006586424,0.0007892455,0.0009527757,0.0007168502,0.00004826081,0.0001164316,0.00009188371,0.003580826,0.9845263],"study_design_scores_gemma":[0.001325694,0.00009964585,0.00161373,0.002996592,0.005219138,0.00005870103,0.00002900537,0.00004104838,0.00001339218,0.00005918253,0.9878899,0.0006539449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04657048,0.950861,0.000001301859,0.0004251941,0.0002050159,0.001740235,0.0000862298,0.00004367857,0.00006687795],"genre_scores_gemma":[0.008995284,0.9876668,0.000005810277,0.0009231285,0.001588028,0.0001270773,0.000463846,0.0001258447,0.0001041965],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9843091,"threshold_uncertainty_score":0.9997419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146733850","doi":"10.1186/1479-7364-1-1-30","title":"Reconstructing the genomic architecture of mammalian ancestors using multispecies comparative maps","year":2003,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Genome; Biology; Comparative genomics; Evolutionary biology; Human genetics; Evolution of mammals; Genomics; Genetics; Computational biology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.05669637577702996,"gpt":0.2812618538106314,"spread":0.2245654780336014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617292,0.0001757393,0.0002112033,0.00003407563,0.0003190061,0.00001963704,0.000216748,0.00007130458,0.00001268765],"category_scores_gemma":[0.00001639764,0.0001448966,0.00009360665,0.00004918507,0.0003113877,6.31526e-7,0.00009273089,0.00009693274,0.000002000088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002572803,"about_ca_system_score_gemma":0.00007478602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004138851,"about_ca_topic_score_gemma":0.0001362748,"domain_scores_codex":[0.9990919,0.0000838929,0.000274446,0.0002621298,0.0000596744,0.00022799],"domain_scores_gemma":[0.9993819,0.00001639367,0.0001647762,0.0003299662,0.00006838232,0.0000385684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001454632,0.0000157846,0.012462,0.00001195274,0.00009825238,5.142377e-7,0.001354669,0.00354077,0.980692,0.001451677,0.0001042784,0.0002535996],"study_design_scores_gemma":[0.001717484,0.0004734894,0.02000351,0.00002961601,0.0001659562,0.0001723732,0.0101838,0.0002136471,0.7129908,0.003196026,0.2497376,0.001115758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947395,0.002183445,0.0001831471,0.00001133527,0.0001887951,0.0001983269,0.00004586258,0.000002132574,0.002447417],"genre_scores_gemma":[0.9940106,0.00007805429,0.005493091,0.00004814531,0.0001831858,0.000005555791,0.00001401214,0.00002046947,0.0001468326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2677012,"threshold_uncertainty_score":0.590871,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2751911121","doi":"10.1186/s40246-017-0116-4","title":"Falling giants and the rise of gene editing: ethics, private interests and the public good","year":2017,"lang":"en","type":"article","venue":"Human Genomics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; McGill Genome Centre; Dalhousie University","funders":"","keywords":"Public relations; Redress; Sociology; Environmental ethics; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.02681758067214565,"gpt":0.3143944507798537,"spread":0.2875768701077081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006608178,0.00009524128,0.0001272203,0.00001296037,0.0003769273,0.0001118293,0.0002980991,0.00008899769,0.000001862395],"category_scores_gemma":[0.0002123214,0.00006169592,0.00003868419,0.000007207485,0.000636839,0.000003122377,0.000295324,0.0001571566,4.709374e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003359632,"about_ca_system_score_gemma":0.00001612502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002194442,"about_ca_topic_score_gemma":0.0001019742,"domain_scores_codex":[0.9994434,0.00004683161,0.0001574033,0.0001625106,0.00005609111,0.0001337865],"domain_scores_gemma":[0.9993066,0.00003125115,0.0001244372,0.0004586031,0.00004174646,0.00003733625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000347277,0.00004794659,0.01133718,0.0001986021,0.0004464044,0.000004634578,0.00531593,0.0001954072,0.9350203,0.03762209,0.0003230822,0.009141113],"study_design_scores_gemma":[0.02775371,0.0004354367,0.09721664,0.0001671747,0.0003858455,0.0001882354,0.002118174,0.007014415,0.7359942,0.01044433,0.1169531,0.00132873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993696,0.003231378,0.001585181,0.0008228119,0.000123431,0.000151828,0.000007570081,0.000003530839,0.0003782887],"genre_scores_gemma":[0.9980397,0.001108446,0.000398274,0.00006449362,0.0002811039,0.000005824425,0.00000640548,0.00001434025,0.00008142675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1990261,"threshold_uncertainty_score":0.2899058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2112095604","doi":"10.1186/1479-7364-2-5-287","title":"Functional nsSNPs from carcinogenesis-related genes expressed in breast tissue: Potential breast cancer risk alleles and their distribution across human populations","year":2006,"lang":"en","type":"article","venue":"Human Genomics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Breast cancer; Biology; Allele; Genetics; Carcinogenesis; Genetic predisposition; Population; Single-nucleotide polymorphism; Minor allele frequency; Allele frequency; Cancer; Bioinformatics; Gene; Genotype; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01211232625659989,"gpt":0.2566325634459998,"spread":0.2445202371893999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001061895,0.0002422329,0.0001837322,0.00004109616,0.0005106735,0.00007343559,0.000148996,0.0002327511,0.0001168283],"category_scores_gemma":[0.00000234854,0.0002550892,0.00006768167,0.00008873823,0.0001612858,0.0000121657,0.0001315378,0.0001225837,0.000004508038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995979,"about_ca_system_score_gemma":0.00007922481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006228939,"about_ca_topic_score_gemma":0.009546782,"domain_scores_codex":[0.9986146,0.0000782877,0.0003728014,0.0005307971,0.0001019949,0.0003015049],"domain_scores_gemma":[0.9993265,0.000006392977,0.0001741535,0.0003206797,0.0001132824,0.00005905358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005099637,0.00008364966,0.1165637,0.000006443078,0.00007053652,0.0000019449,0.0001401072,0.01631863,0.862695,0.0001225335,0.001185081,0.002761404],"study_design_scores_gemma":[0.001080339,0.00002024996,0.9540851,0.000008523038,0.00004445153,0.00002827656,0.0002005699,0.0002873861,0.04039508,0.00143163,0.002100017,0.0003183817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845278,0.002540386,0.00141314,0.0001214431,0.0001976481,0.0002059546,0.01094639,0.00002319372,0.00002406599],"genre_scores_gemma":[0.9865438,0.0002145784,0.0001095696,0.00002191386,0.0006987231,0.00007230564,0.01214191,0.0000431206,0.0001540455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8375214,"threshold_uncertainty_score":0.9999901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132591667","doi":"10.1186/1479-7364-6-15","title":"Identification of functional DNA variants in the constitutive promoter region of MDM2","year":2012,"lang":"en","type":"article","venue":"Human Genomics","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Promoter; Genetics; Gene; Single-nucleotide polymorphism; dbSNP; Exon; Haplotype; Molecular biology; Allele; Gene expression; Genotype","retraction":null,"screen_n_in":null,"score":{"opus":0.04393652724564997,"gpt":0.2673541684134506,"spread":0.2234176411678006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934772,0.00005681041,0.0001176254,0.00007840538,0.00002718373,0.000002884916,0.00005462879,0.00005870519,0.00003466319],"category_scores_gemma":[0.00002943731,0.00004694681,0.00004043265,0.00008730958,0.0001199146,0.00004315048,0.00001533649,0.00009968633,0.00001185085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008926356,"about_ca_system_score_gemma":0.0000813348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001543439,"about_ca_topic_score_gemma":0.000008623672,"domain_scores_codex":[0.9993821,0.00003845269,0.000267605,0.00008899851,0.0001234837,0.00009930132],"domain_scores_gemma":[0.9994985,0.00001591196,0.0001602119,0.0002352857,0.00006718904,0.00002288855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001158494,0.0003328116,0.00314439,0.00007085245,0.00005729671,0.000007096755,0.004155683,0.00003762552,0.968953,0.02205615,0.0005646239,0.0005046836],"study_design_scores_gemma":[0.004005941,0.000338605,0.7522386,0.0002125446,0.0003696332,0.0004448457,0.001109116,0.0002700265,0.2337088,0.002555516,0.004491439,0.0002549189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943304,0.000205582,0.001906063,0.00007193819,0.000162564,0.0003854827,0.000008957708,0.00000561581,0.002923361],"genre_scores_gemma":[0.9996448,0.00001172316,0.00005388065,0.0000583607,0.0000905948,0.00001091002,0.00003550632,0.000007705259,0.00008650363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7490942,"threshold_uncertainty_score":0.1914435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391449379","doi":"10.1186/s40246-024-00580-1","title":"Wastewater-based epidemiology applied at the building-level reveals distinct virome profiles based on the age of the contributing individuals","year":2024,"lang":"en","type":"article","venue":"Human Genomics","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Generalitat de Catalunya; Fundació la Marató de TV3; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Human virome; Wastewater; Biology; Sewage; Population; Virology; Environmental health; Metagenomics; Medicine; Genetics; Environmental science; Environmental engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.09314244643604455,"gpt":0.3414793038876465,"spread":0.248336857451602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004937169,0.0002518127,0.0006548112,0.00008511297,0.0004943699,0.00002631515,0.0005292652,0.0001384778,0.0002518946],"category_scores_gemma":[0.001924825,0.0001135443,0.000271696,0.0001398876,0.0008241651,0.00001354307,0.0003324859,0.0006384992,0.00004539277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495903,"about_ca_system_score_gemma":0.0001103533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004707284,"about_ca_topic_score_gemma":0.00003628557,"domain_scores_codex":[0.9967366,0.001028461,0.0007638354,0.0004310774,0.0002334389,0.000806596],"domain_scores_gemma":[0.9969717,0.001842451,0.0002275265,0.0008077634,0.00004653296,0.0001040872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007818121,0.0002147929,0.1528649,0.0007242773,0.0004206802,0.00009084357,0.0003671797,0.001183377,0.8008393,0.01958774,0.02135383,0.001571301],"study_design_scores_gemma":[0.003551112,0.001855445,0.9083338,0.001261301,0.0003470803,0.0000941188,0.0002495258,0.007458112,0.02998971,0.009602022,0.03676978,0.0004879477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838355,0.0002675694,0.0006673736,0.01277107,0.0001388736,0.001262374,0.0005047139,0.00004342826,0.000509145],"genre_scores_gemma":[0.9942548,0.000008886184,0.0004040726,0.004075293,0.0002537587,0.0001629878,0.0002322215,0.00004110413,0.0005669078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7708496,"threshold_uncertainty_score":0.4630201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2803549644","doi":"10.1186/s40246-018-0148-4","title":"Large-scale discovery of previously undetected microRNAs specific to human liver","year":2018,"lang":"en","type":"letter","venue":"Human Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; Occupational Cancer Research Centre; BC Cancer Agency","funders":"Canadian Institutes of Health Research; University of British Columbia; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Biology; microRNA; Transcriptome; Computational biology; Human genetics; Gene; RNA; Small RNA; Gene expression profiling; Gene expression; Regulation of gene expression; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01624959249759618,"gpt":0.244006726592723,"spread":0.2277571340951268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001572787,0.000438743,0.0004276506,0.0001601723,0.000166178,0.00008381609,0.0006432938,0.0008398022,0.0001792538],"category_scores_gemma":[0.00001003951,0.0004920965,0.0002841709,0.00008648719,0.0001774199,0.000006095326,0.0004314965,0.0003492267,0.0001097456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543318,"about_ca_system_score_gemma":0.0001088011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001548239,"about_ca_topic_score_gemma":0.000118033,"domain_scores_codex":[0.9977673,0.0001035279,0.0005561714,0.0008342313,0.0002063591,0.0005324493],"domain_scores_gemma":[0.9980329,0.000007791227,0.0003907455,0.001284033,0.0001955685,0.0000889182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002152979,0.00003621902,0.00003289543,0.0001138934,0.00007372433,0.000009604853,0.0001169487,0.000003775699,0.5542312,0.000007372738,0.4453349,0.00001793925],"study_design_scores_gemma":[0.0003772057,0.0002519973,0.001351736,0.00006683079,0.00008347539,0.00001051476,0.00001831094,0.000001616534,0.1895625,0.00007595276,0.8076898,0.0005100276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940091,0.001364466,0.001051121,0.001178171,0.0002709957,0.0008469357,0.0006466874,0.00002652682,0.0006059926],"genre_scores_gemma":[0.688749,0.0009025182,0.006386133,0.1554907,0.048112,0.0002443034,0.04838726,0.001449718,0.05027838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3646687,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292608015","doi":"10.1186/s40246-022-00408-w","title":"SCP2 variant is associated with alterations in lipid metabolism, brainstem neurodegeneration, and testicular defects","year":2022,"lang":"en","type":"article","venue":"Human Genomics","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; University of California, San Diego; USC Norris Comprehensive Cancer Center; School of Pharmacy, University of Southern California; Broad Institute; University of Southern California","keywords":"Biology; Peroxisome; Endocrinology; Internal medicine; Beta oxidation; Neurodegeneration; Peroxisomal disorder; Mutation; Fatty acid metabolism; Biochemistry; Metabolism; Gene; Medicine; Disease","retraction":null,"screen_n_in":null,"score":{"opus":0.01024029586230171,"gpt":0.2135552783351609,"spread":0.2033149824728592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916799,0.0001649703,0.0001630284,0.0000876905,0.0003914346,0.00006216027,0.0001273086,0.0000709649,0.00004041213],"category_scores_gemma":[0.00004907962,0.0001710626,0.00002989386,0.0001570243,0.00004803137,0.000007907493,0.0001515574,0.0001744327,0.000001591913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000667524,"about_ca_system_score_gemma":0.0001283079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001564971,"about_ca_topic_score_gemma":0.0000960749,"domain_scores_codex":[0.9988894,0.0001690123,0.0002046049,0.0003954997,0.0001213314,0.0002201327],"domain_scores_gemma":[0.9995187,0.00001175909,0.00009620728,0.0002410931,0.00005987201,0.00007236407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003269603,0.0001119991,0.002911811,0.000004658227,0.00006632906,0.00001241582,0.0003900015,0.003721038,0.9917967,0.0003145443,0.0005791077,0.0000587546],"study_design_scores_gemma":[0.004226632,0.001040774,0.01394147,0.00001753628,0.0001316452,0.0002027402,0.000363253,0.002529237,0.9264186,0.0001655108,0.04984705,0.001115527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987898,0.0003601728,0.0001738654,0.0000851244,0.00009178632,0.0002656144,0.00007441729,0.00001761773,0.0001416396],"genre_scores_gemma":[0.9979599,0.00002887995,0.0002290144,0.0008874055,0.0001372377,0.00009067872,0.0004335908,0.00004057572,0.0001927353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06537801,"threshold_uncertainty_score":0.6975731,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387408736","doi":"10.1186/s40246-023-00540-1","title":"Epigenomic signature of major congenital heart defects in newborns with Down syndrome","year":2023,"lang":"en","type":"article","venue":"Human Genomics","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Genome Center, University of California, Davis; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Environmental Health Sciences; Alex's Lemonade Stand Foundation for Childhood Cancer; Canadian Institutes of Health Research; University of California, Davis; National Institutes of Health; California Department of Public Health","keywords":"Epigenomics; Human genetics; Medicine; Signature (topology); Bioinformatics; Biology; Genetics; DNA methylation; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03303479907389073,"gpt":0.3018112215497136,"spread":0.2687764224758228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003361097,0.0001879145,0.0004999475,0.0003988794,0.00006954749,0.00002179863,0.0001761409,0.0001487786,0.001249862],"category_scores_gemma":[0.00007907452,0.000161286,0.0001109362,0.0006245758,0.0002547543,0.00006269333,0.0001018648,0.000407623,0.0009655046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911005,"about_ca_system_score_gemma":0.0002361096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001683402,"about_ca_topic_score_gemma":0.0002569172,"domain_scores_codex":[0.9984528,0.00005646678,0.0003610376,0.0003643263,0.0002814998,0.0004838427],"domain_scores_gemma":[0.999153,0.00008748624,0.00004095667,0.0004535587,0.00009350003,0.0001715441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001686366,0.001291662,0.3153841,0.001389092,0.0006422074,0.000680534,0.007874927,0.0002405916,0.6515056,0.0008856193,0.01733152,0.00108771],"study_design_scores_gemma":[0.004157121,0.004117616,0.9648724,0.0002036829,0.0001203937,0.0007308049,0.001567805,0.0001694634,0.01430465,0.001017496,0.008227817,0.0005108049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934449,0.0001761434,0.000006092875,0.0001686879,0.00003714312,0.0007441883,0.00004063486,0.00006472338,0.00531751],"genre_scores_gemma":[0.9963281,0.00002442512,0.0000923758,0.00009652018,0.00003607754,0.00002988798,0.0001205415,0.00004918831,0.003222891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6494882,"threshold_uncertainty_score":0.9998124,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2504461544","doi":"10.1186/s40246-016-0069-z","title":"Identification of protein complexes from multi-relationship protein interaction networks","year":2016,"lang":"en","type":"article","venue":"Human Genomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Human genetics; Identification (biology); Computational biology; Protein–protein interaction; Biology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.0255381589805958,"gpt":0.2620545801371784,"spread":0.2365164211565826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759641,0.0001201444,0.0001188749,0.0000359936,0.0001000755,0.00002593175,0.0001768558,0.0001502036,0.00002973155],"category_scores_gemma":[0.00002372352,0.000100739,0.00006334436,0.00003361057,0.00008126699,0.000009372567,0.00008039565,0.00007286778,0.0000233096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003351487,"about_ca_system_score_gemma":0.00002452321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002629528,"about_ca_topic_score_gemma":0.00008966503,"domain_scores_codex":[0.9990903,0.00004148991,0.0004594203,0.0002003607,0.000060804,0.0001476254],"domain_scores_gemma":[0.9991728,0.00001150274,0.0003375353,0.0003608049,0.00007379366,0.00004358189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003903552,0.00003972161,0.0007938141,0.000009172015,0.00003363164,1.120541e-7,0.00006238914,0.0003349508,0.994247,0.001231808,0.0001695629,0.00303886],"study_design_scores_gemma":[0.0027722,0.0003258615,0.02947829,0.0001923512,0.00005985405,0.000004176783,0.000229387,0.01365425,0.9335892,0.006633664,0.01228096,0.0007797684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8317069,0.0001515662,0.1674764,0.0000371988,0.00007952013,0.0003951779,0.00004875928,0.00001008304,0.00009435095],"genre_scores_gemma":[0.9967704,0.00001217395,0.001769074,0.00002261115,0.0002369069,0.00004303064,0.0002566433,0.00002042142,0.0008687224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657073,"threshold_uncertainty_score":0.4108017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981764893","doi":"10.1186/s40246-019-0221-7","title":"A semi-supervised machine learning framework for microRNA classification","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Machine learning; Artificial intelligence; Computer science; Identification (biology); Pipeline (software); Supervised learning; Semi-supervised learning; Labeled data; microRNA; Computational biology; Biology; Gene; Artificial neural network; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.02069720979332611,"gpt":0.267788721063082,"spread":0.2470915112697559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001197924,0.0001259989,0.0001082568,0.00003375532,0.0001109959,0.00003309828,0.0001567077,0.0001734134,0.00008806398],"category_scores_gemma":[0.0000349627,0.0001416891,0.00009067111,0.00003442693,0.00002498374,0.000002974767,0.00005541069,0.00009285405,0.00006745917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004488051,"about_ca_system_score_gemma":0.00004125264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000332809,"about_ca_topic_score_gemma":0.000004819863,"domain_scores_codex":[0.9992323,0.00003111849,0.0001795529,0.0003206586,0.00005463735,0.0001817273],"domain_scores_gemma":[0.9994142,0.00001336341,0.0001092396,0.0003426016,0.00006661002,0.00005395561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000581359,0.00002652793,0.003961802,0.00003968882,0.00003169155,1.12057e-7,0.00006038424,0.0002695626,0.9931582,0.001521039,0.0003001684,0.0005726884],"study_design_scores_gemma":[0.002740061,0.0005998381,0.03275713,0.0000620775,0.0001103718,0.00001273911,0.0002519873,0.0179626,0.5118445,0.004806853,0.4278231,0.001028749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834242,0.0005651558,0.01499028,0.00005703179,0.0001020895,0.0004611523,0.00003463,0.00002231918,0.0003431773],"genre_scores_gemma":[0.9901568,0.00003876846,0.006879142,0.0001424823,0.0002801805,0.00003254833,0.001423261,0.00004762118,0.0009992308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4813137,"threshold_uncertainty_score":0.5777913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3156286581","doi":"10.1186/s40246-021-00320-9","title":"Targeted exome sequencing identifies mutational landscape in a cohort of 1500 Chinese patients with non-small cell lung carcinoma (NSCLC)","year":2021,"lang":"en","type":"article","venue":"Human Genomics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Victoria Park","funders":"Jiangxi Provincial Department of Science and Technology","keywords":"Oncology; Lung cancer; Internal medicine; Context (archaeology); Human genetics; Exome sequencing; Medicine; Carcinoma; Targeted therapy; Exome; Epidemiology; Incidence (geometry); Cohort; Bioinformatics; Biology; Cancer; Gene; Mutation; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.007989930306953521,"gpt":0.2499262124073366,"spread":0.2419362821003831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005318768,0.0001393112,0.0002662713,0.0001279174,0.00007062089,0.00001868646,0.00005029167,0.00004598517,0.0001540598],"category_scores_gemma":[0.000009548127,0.0001168823,0.0000500741,0.0001836897,0.00003072609,0.0000622878,0.00002903737,0.0000926073,0.000005629783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930597,"about_ca_system_score_gemma":0.0005166117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123376,"about_ca_topic_score_gemma":0.0004426492,"domain_scores_codex":[0.9991179,0.00001769355,0.0002846709,0.0002436202,0.0001681316,0.0001679634],"domain_scores_gemma":[0.9993601,0.00002447043,0.0001147816,0.00020206,0.0002325508,0.00006601953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004885981,0.0002050228,0.9886882,0.0001494837,0.0001181806,0.0001149629,0.003566411,0.0003873616,0.006614645,0.00001809391,0.00006129873,0.00002744077],"study_design_scores_gemma":[0.003913997,0.00009890852,0.9926173,0.00006596088,0.000207314,0.00001020603,0.0005859851,0.0003281278,0.001992658,0.00004771368,0.00001414638,0.0001176584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961778,0.0003366675,0.00005058089,0.00001693506,0.00007072909,0.000450735,0.00007222775,0.00001254575,0.002811781],"genre_scores_gemma":[0.9968554,0.000007730399,0.0009187698,0.00005868193,0.00004884449,0.00003888725,0.001302632,0.00002735367,0.0007417156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004621987,"threshold_uncertainty_score":0.476632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170721198","doi":"10.1186/1479-7364-3-2-157","title":"LIPE C-60G influences the effects of physical activity on body fat and plasma lipid concentrations: the Quebec Family Study","year":2009,"lang":"en","type":"article","venue":"Human Genomics","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"","keywords":"Internal medicine; Endocrinology; Body mass index; Lipoprotein lipase; Obesity; Biology; Abdominal obesity; High-density lipoprotein; Cholesterol; Metabolic syndrome; Adipose tissue; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01004823253832276,"gpt":0.2597579291586433,"spread":0.2497096966203206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008434366,0.0001004853,0.0001121935,0.00001198817,0.0001809605,0.00003313277,0.0001397545,0.00004186129,5.534911e-7],"category_scores_gemma":[0.00002765412,0.00006182679,0.00004014347,0.0000316446,0.0001135806,0.000004580495,0.00003280912,0.0000780726,0.000001088447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006764455,"about_ca_system_score_gemma":0.00001893923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009657694,"about_ca_topic_score_gemma":0.0001437356,"domain_scores_codex":[0.999442,0.0001124387,0.00008642695,0.0001721375,0.00008269482,0.0001042889],"domain_scores_gemma":[0.9995757,0.0000510201,0.00006989522,0.0002525482,0.00002715567,0.00002368496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007065099,0.00038128,0.0004937017,0.00001059398,0.00002482671,4.089947e-7,0.00055289,0.00001534787,0.9898468,0.0006792003,0.0002002408,0.007724115],"study_design_scores_gemma":[0.001192263,0.001855918,0.5946299,0.00001412268,0.00007232619,9.469845e-7,0.0003931942,0.00008710381,0.3968416,0.0002271759,0.004532438,0.0001529753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989835,0.0002889388,0.00001020937,0.00006955934,0.00006555228,0.0004506096,0.000007056418,0.000004559889,0.000119995],"genre_scores_gemma":[0.9991835,0.0001524619,0.000005633883,0.0001853594,0.0004009595,0.00001647124,0.00001042013,0.000005301504,0.00003988588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5941362,"threshold_uncertainty_score":0.2521223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4383550839","doi":"10.1186/s40246-023-00505-4","title":"Monitoring SARS-CoV-2 variants in wastewater of Dhaka City, Bangladesh: approach to complement public health surveillance systems","year":2023,"lang":"en","type":"article","venue":"Human Genomics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; Fogarty International Center; International Centre for Diarrhoeal Disease Research, Bangladesh; Emory University; National Institutes of Health; UNICEF","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Public health; 2019-20 coronavirus outbreak; Human genetics; Complement (music); Sars virus; Virology; Wastewater; Environmental health; Medicine; Biology; Environmental science; Infectious disease (medical specialty); Environmental engineering; Genetics; Outbreak; Gene; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.2366422725718907,"gpt":0.3617880972173534,"spread":0.1251458246454627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133027,0.0001810921,0.0005073513,0.0004900221,0.0001249055,0.00005702265,0.0001714566,0.00006610437,0.000003347896],"category_scores_gemma":[0.00006355817,0.0001846847,0.00005559993,0.0006064613,0.00002933292,0.00005001638,0.0001545459,0.0001975842,0.0000475302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004328855,"about_ca_system_score_gemma":0.0001130355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000942026,"about_ca_topic_score_gemma":0.0001070931,"domain_scores_codex":[0.9980056,0.0001165615,0.0006766361,0.0003743828,0.0002794513,0.0005473863],"domain_scores_gemma":[0.999181,0.00005136814,0.0001828834,0.0003999819,0.00009625302,0.00008851387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004314856,0.0002970699,0.1688699,0.0007779702,0.00009173242,0.00002529474,0.004692601,0.000182721,0.8225642,0.0004109026,0.001006787,0.001037683],"study_design_scores_gemma":[0.009015002,0.001293614,0.6161338,0.001038704,0.00003602543,0.0002835743,0.007956549,0.01775998,0.3159126,0.000138673,0.02911468,0.001316793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964541,0.00009523395,0.0001797821,0.0002146993,0.0004522402,0.0007518558,0.00001983453,0.0001559672,0.001676295],"genre_scores_gemma":[0.9985272,0.00000766564,0.0007608123,0.0002299801,0.0002819831,0.00004929199,0.00003605273,0.00004622715,0.0000608437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5066516,"threshold_uncertainty_score":0.7531225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135699769","doi":"10.1186/1479-7364-6-3","title":"Mitochondrial and nuclear genomics and the emergence of personalized medicine","year":2012,"lang":"en","type":"review","venue":"Human Genomics","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Northern Ontario Academic Medicine Association","funders":"","keywords":"Human genetics; Genomics; Disease; Personalized medicine; Genome; Biology; Computational biology; Precision medicine; Mitochondrion; Mitochondrial disease; Mitochondrial DNA; Bioinformatics; Genetics; Medicine; Pathology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.0472569522350452,"gpt":0.302882281877988,"spread":0.2556253296429428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002864678,0.000294506,0.0009140541,0.00005540046,0.0001492664,0.00001142098,0.0002286256,0.0003694694,0.0002759267],"category_scores_gemma":[0.00005112807,0.0001972725,0.0001727957,0.00004159009,0.000924732,0.000001970091,0.0002251445,0.0001932671,0.000009688285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001005896,"about_ca_system_score_gemma":0.00005935234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893067,"about_ca_topic_score_gemma":0.00001446886,"domain_scores_codex":[0.9986197,0.0002332501,0.0004969681,0.0003731365,0.00007604816,0.0002009277],"domain_scores_gemma":[0.9990352,0.00004129327,0.0003683064,0.0004147136,0.00004434757,0.0000961698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001796377,0.0001892167,0.00002062267,0.01304154,0.002396339,0.00001174213,0.008156363,0.000001590406,0.1277438,0.09431114,0.03991874,0.7124125],"study_design_scores_gemma":[0.001037561,0.0001203864,0.000001324283,0.0001161852,0.0006322612,0.00009409286,0.0001080517,0.000001251684,0.00001009756,0.00006446225,0.9976218,0.0001925214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009160627,0.9964772,0.00006122119,0.00002765679,0.0008021069,0.0005365071,0.00004689106,0.000005259499,0.001127048],"genre_scores_gemma":[0.00004565534,0.9964422,0.0003738968,0.0001095473,0.001880231,0.00002091089,0.0002029102,0.00005285395,0.0008718193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9577031,"threshold_uncertainty_score":0.8044541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220792293","doi":"10.1186/s40246-022-00381-4","title":"Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease","year":2022,"lang":"en","type":"article","venue":"Human Genomics","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canadian Institutes of Health Research; Université Laval","keywords":"Mendelian randomization; Biology; Enhancer; Genome-wide association study; Genetics; Candidate gene; Gene; Expression quantitative trait loci; Druggability; Bioinformatics; Gene expression; Single-nucleotide polymorphism","retraction":null,"screen_n_in":null,"score":{"opus":0.01136387588478799,"gpt":0.2277210358659166,"spread":0.2163571599811286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003446969,0.0001249653,0.0002933101,0.00005668739,0.0002133207,0.00001459603,0.0001334809,0.00004353607,0.0008097542],"category_scores_gemma":[0.0000055598,0.0001289587,0.0001603289,0.00007341491,0.00008487827,0.00006961454,0.0002055817,0.000122413,0.00001093764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006839048,"about_ca_system_score_gemma":0.00004097657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001988693,"about_ca_topic_score_gemma":0.00001305098,"domain_scores_codex":[0.9988996,0.0002960406,0.0002920498,0.000261772,0.00004679083,0.0002037916],"domain_scores_gemma":[0.9995642,0.00002228722,0.0001024178,0.0002592074,0.0000258929,0.00002605029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00251431,0.001040232,0.1102668,0.0002247842,0.002308301,0.00004384881,0.003686161,0.02034371,0.8399927,0.0006705667,0.002279417,0.01662919],"study_design_scores_gemma":[0.02451894,0.0003558713,0.9103132,0.0001474723,0.0009954924,0.00005004094,0.00183101,0.0003308919,0.008681905,0.002736462,0.04893461,0.001104124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742543,0.02487328,0.000140597,0.00001165343,0.000239612,0.000367797,0.00005229009,0.00001592711,0.00004461269],"genre_scores_gemma":[0.9985026,0.0007004958,0.00001880077,0.00006020029,0.00003623192,0.0001135136,0.0003097723,0.00002194533,0.0002364636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8313108,"threshold_uncertainty_score":0.8866242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135775382","doi":"10.1186/1479-7364-8-9","title":"Changing genetic paradigms: creating next-generation genetic databases as tools to understand the emerging complexities of genotype/phenotype relationships","year":2014,"lang":"en","type":"article","venue":"Human Genomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital","funders":"Jewish General Hospital","keywords":"Biology; Phenotype; Genotype; Epigenetics; Genetics; Human genetics; Genotype-phenotype distinction; Computational biology; Genomics; Gene; Genome","retraction":null,"screen_n_in":null,"score":{"opus":0.1203736489985455,"gpt":0.2930645059040325,"spread":0.172690856905487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127783,0.0001985299,0.000190382,0.00009607195,0.0006227143,0.000112596,0.0002703748,0.00006979764,0.00003809038],"category_scores_gemma":[0.0002463893,0.0001938148,0.00006855493,0.0001190814,0.0001061935,0.000008859534,0.0002042086,0.0001029147,0.00001845019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006169809,"about_ca_system_score_gemma":0.00009977404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151836,"about_ca_topic_score_gemma":0.0005457167,"domain_scores_codex":[0.9986761,0.0001055037,0.0004019081,0.0003588102,0.0001381458,0.0003195935],"domain_scores_gemma":[0.9989123,0.0001127583,0.0001835063,0.0006012274,0.00009785004,0.00009237065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007798667,0.00006519243,0.00241687,0.00007428764,0.0001480547,0.000002125048,0.005599264,0.06898624,0.8608177,0.05281152,0.001444077,0.007556728],"study_design_scores_gemma":[0.005421812,0.003800863,0.1245766,0.0003598749,0.001205599,0.0001529232,0.0387735,0.05267479,0.385339,0.02425568,0.3581583,0.005281126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610582,0.001264071,0.03512746,0.00009445025,0.0001587017,0.000348363,0.00007068906,0.00001220695,0.001865879],"genre_scores_gemma":[0.9902377,0.0002027073,0.007494364,0.0004787632,0.0009996103,0.00002005736,0.0003719266,0.00004925573,0.0001456089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4754787,"threshold_uncertainty_score":0.7903537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946375608","doi":"10.1186/s40246-019-0208-4","title":"Statement on bioinformatics and capturing the benefits of genome sequencing for society","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Dalhousie University","funders":"","keywords":"Translational bioinformatics; Genomic medicine; Human genetics; Personal genomics; Genome Biology; Big data; Key (lock); Data science; Genome; Genomics; Bioinformatics; Computational biology; Biology; Computer science; Genetics; Data mining; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.02001198873886178,"gpt":0.2420476929527783,"spread":0.2220357042139165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001779708,0.0001023034,0.0001095464,0.000013757,0.00009430799,0.00002453761,0.0001218985,0.00005599813,0.000004599246],"category_scores_gemma":[0.000008643749,0.00008485468,0.00006902164,0.00001587305,0.00004290074,0.000002111381,0.0001027729,0.00004353902,0.000002502831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000570672,"about_ca_system_score_gemma":0.00006433281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000144463,"about_ca_topic_score_gemma":0.00002379054,"domain_scores_codex":[0.9994119,0.000004860477,0.0002247706,0.0001454941,0.00005554337,0.0001574599],"domain_scores_gemma":[0.9995041,0.00002634129,0.0001268234,0.0002614951,0.00004913673,0.00003209747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001066315,0.00005082729,0.001373336,0.0004002225,0.0002643509,1.723759e-7,0.004281656,0.0620294,0.9181628,0.008826373,0.001528225,0.002975984],"study_design_scores_gemma":[0.008400286,0.005170744,0.0176662,0.0001594889,0.0003179111,0.00002522994,0.01095143,0.01834197,0.5887356,0.002507893,0.3456745,0.002048684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997791,0.0005848827,0.0004944063,0.00004641867,0.00007765797,0.0004089983,0.0001662155,0.000002984067,0.0004274158],"genre_scores_gemma":[0.996345,0.0006056622,0.002142649,0.0004556116,0.0001334114,0.00001578834,0.0001286246,0.00002078141,0.0001524875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3441463,"threshold_uncertainty_score":0.3460274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955114132","doi":"10.1186/s40246-019-0213-7","title":"A novel knowledge-derived data potentizing method revealed unique liver cancer-associated genetic variants","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McMaster University","keywords":"Indel; Biology; Human genetics; Exome sequencing; Computational biology; Genetics; Exome; Precision medicine; Personalized medicine; Genomics; Gene; Genome; Cancer; Cancer genome sequencing; Single-nucleotide polymorphism; Genotype; Mutation","retraction":null,"screen_n_in":null,"score":{"opus":0.03795240898092028,"gpt":0.3076440624534584,"spread":0.2696916534725382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002818222,0.0002566283,0.0002750727,0.00005990253,0.000177561,0.00006714183,0.0007868312,0.000215214,0.0001183057],"category_scores_gemma":[0.00004122986,0.0002747722,0.00009903315,0.00008252149,0.00004173493,0.000006786875,0.0007819433,0.0001257003,0.00006271291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000080143,"about_ca_system_score_gemma":0.0003164182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002913597,"about_ca_topic_score_gemma":0.0005117444,"domain_scores_codex":[0.9983351,0.0001052998,0.0003161549,0.0007638214,0.0000875499,0.0003920897],"domain_scores_gemma":[0.9983825,0.00001698421,0.0001946257,0.001114591,0.0001482668,0.0001430511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003676472,0.0001944199,0.001146819,0.00004302469,0.0002316769,0.00001098487,0.0001245303,0.0003125435,0.995187,0.00005997335,0.001196874,0.001455411],"study_design_scores_gemma":[0.01638463,0.001565198,0.5846255,0.0004422862,0.001763694,0.0004092765,0.001020519,0.0474556,0.1490025,0.0009320537,0.1902329,0.00616591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906426,0.003076149,0.004081379,0.00002455075,0.0002989432,0.0004428482,0.0006334316,0.00002502718,0.0007750717],"genre_scores_gemma":[0.9837548,0.0008842906,0.01063283,0.0002785868,0.000315588,0.0000217994,0.001714504,0.00009071767,0.002306942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8461845,"threshold_uncertainty_score":0.9999704,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399357679","doi":"10.1186/s40246-024-00624-6","title":"Deep learning-based pathway-centric approach to characterize recurrent hepatocellular carcinoma after liver transplantation","year":2024,"lang":"en","type":"article","venue":"Human Genomics","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network","funders":"Terry Fox Research Institute; University of Toronto; Canadian Liver Foundation; Toronto General and Western Hospital Foundation","keywords":"Hepatocellular carcinoma; Transcriptome; Gene signature; Biology; Cancer research; Liver transplantation; Gene expression profiling; PI3K/AKT/mTOR pathway; Gene; Gene expression; KEGG; Signal transduction; Transplantation; Medicine; Internal medicine; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.02945213296506092,"gpt":0.2342727274896004,"spread":0.2048205945245395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001356389,0.0002074658,0.0002418502,0.0001974971,0.00008972368,0.00008470524,0.00008389972,0.00009448385,0.0002668388],"category_scores_gemma":[0.000003533556,0.0001950191,0.0001504442,0.000195684,0.00002864763,0.00005048919,0.00001834779,0.0002729864,0.0001764204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546845,"about_ca_system_score_gemma":0.00009199248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002693997,"about_ca_topic_score_gemma":0.000005103189,"domain_scores_codex":[0.9987326,0.00004759417,0.0002670275,0.0004506526,0.0002076349,0.0002944695],"domain_scores_gemma":[0.9995064,0.00001358216,0.00003697301,0.0002034296,0.00005378438,0.0001858365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008106022,0.005375932,0.3109688,0.03006122,0.001038573,0.005935869,0.06984962,0.00197321,0.1123444,0.003356055,0.002011123,0.4489791],"study_design_scores_gemma":[0.004441818,0.00315474,0.434455,0.0009154717,0.001534885,0.0002462313,0.000424828,0.3166352,0.02123182,0.00004367688,0.215171,0.001745381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878297,0.003629023,0.00654084,0.00009168149,0.0002047418,0.0006752288,0.00002938548,0.0001252923,0.0008740408],"genre_scores_gemma":[0.997301,0.0003293086,0.0006081982,0.0003794185,0.000329085,0.0002655313,0.0005051296,0.00006232786,0.0002199727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4472338,"threshold_uncertainty_score":0.7952647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381052406","doi":"10.1186/s40246-023-00499-z","title":"Comprehensive genetic screening of early-onset dementia patients in an Austrian cohort-suggesting new disease-contributing genes","year":2023,"lang":"en","type":"article","venue":"Human Genomics","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Medizinische Universität Wien; Universität Wien; Alzheimer Society","keywords":"Genetics; Penetrance; PSEN1; Biology; C9orf72; Human genetics; TREM2; Genetic testing; Disease; Exome sequencing; Dementia; Frontotemporal dementia; Gene; Medical genetics; Bioinformatics; Allele; Medicine; Phenotype; Alzheimer's disease; Trinucleotide repeat expansion; Pathology; Amyloid precursor protein","retraction":null,"screen_n_in":null,"score":{"opus":0.06947825075465013,"gpt":0.3329741411660949,"spread":0.2634958904114447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001365998,0.0002093644,0.000361892,0.0002784771,0.0001998452,0.00003820322,0.0001446126,0.0000629093,0.00006142299],"category_scores_gemma":[0.00005324849,0.0002185615,0.00009392091,0.0003047229,0.00007565796,0.00008629176,0.0001649554,0.0001481559,0.00005063292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012341,"about_ca_system_score_gemma":0.0002429524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006459336,"about_ca_topic_score_gemma":0.00007222043,"domain_scores_codex":[0.9980413,0.00009680031,0.0004647161,0.0003920109,0.000364776,0.000640453],"domain_scores_gemma":[0.998567,0.00007633513,0.000161264,0.0003685867,0.0001844741,0.0006423658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002645116,0.0001913838,0.9932299,0.00005530741,0.001230214,0.0002488172,0.0001566206,0.0002730408,0.000197481,0.000004689458,0.00007631875,0.00407167],"study_design_scores_gemma":[0.003581809,0.0003167519,0.993932,0.0001086905,0.0005180738,0.000002102292,0.0001216948,0.0009884054,0.0001360301,0.00009294797,0.00003899918,0.0001624741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969888,0.001741568,0.00002468008,0.00002109278,0.0000371804,0.0009257177,0.0001659958,0.00006895503,0.000025975],"genre_scores_gemma":[0.9976472,0.0000932773,0.0007070779,0.00002736394,0.0001088363,0.00002455613,0.001321058,0.00004772088,0.00002296475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003909196,"threshold_uncertainty_score":0.891268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306377224","doi":"10.1186/s40246-022-00418-8","title":"Analysis on in vitro effect of lithium on telomere length in lymphoblastoid cell lines from bipolar disorder patients with different clinical response to long-term lithium treatment","year":2022,"lang":"en","type":"article","venue":"Human Genomics","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Regione Autonoma della Sardegna","keywords":"Lithium (medication); Telomere; Bipolar disorder; Internal medicine; In vivo; In vitro; Biology; Medicine; Oncology; Endocrinology; Genetics; DNA","retraction":null,"screen_n_in":null,"score":{"opus":0.01367459457428236,"gpt":0.2783657664182766,"spread":0.2646911718439943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004776142,0.0004496153,0.001264679,0.001056734,0.0001372268,0.00001800539,0.0002476653,0.0001189846,0.0001085607],"category_scores_gemma":[0.00007525255,0.0003369,0.000282716,0.000709776,0.00008520615,0.00002921349,0.0001312837,0.000390009,0.00001434723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009438095,"about_ca_system_score_gemma":0.0001098713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005417587,"about_ca_topic_score_gemma":0.0006740678,"domain_scores_codex":[0.9965305,0.0008457098,0.0008858765,0.0008164753,0.0004960443,0.0004254337],"domain_scores_gemma":[0.9977942,0.0007934236,0.0002587483,0.0008725966,0.00004903232,0.0002320768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04401453,0.004546686,0.9318586,0.00004722974,0.000288244,0.000103005,0.001555305,0.0006403461,0.008637814,0.000001023067,0.000008772186,0.008298438],"study_design_scores_gemma":[0.009784353,0.01355748,0.9607378,0.00006872365,0.0004132077,8.63522e-7,0.0001032029,0.0001052111,0.01444204,0.000001234305,0.0004778621,0.0003080219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978875,0.0003217268,0.000004789876,0.0001083151,0.0001380975,0.001147373,0.0003383809,0.00002915732,0.00002465043],"genre_scores_gemma":[0.9985607,0.00008922476,0.00004556476,0.0002073356,0.000079424,0.0001238808,0.0005370909,0.00006288134,0.0002939084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03423018,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964063862","doi":"10.1186/s40246-019-0217-3","title":"Helicobacter pylori infection, serum pepsinogens as markers of atrophic gastritis, and leukocyte telomere length: a population-based study","year":2019,"lang":"en","type":"article","venue":"Human Genomics","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"School of Medicine, New York University; Tel Aviv University; York University; Rutgers, The State University of New Jersey; Planning and Budgeting Committee of the Council for Higher Education of Israel; Materials and Energy Research Center; United States Agency for International Development","keywords":"Helicobacter pylori; Atrophic gastritis; Internal medicine; Gastritis; Medicine; Gastroenterology; Population; Antibody; Immunology; Serology","retraction":null,"screen_n_in":null,"score":{"opus":0.01583486131260779,"gpt":0.260132975674625,"spread":0.2442981143620172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002140243,0.0002702794,0.0005117594,0.0002871595,0.0001573616,0.00003707577,0.00009417591,0.0001203188,0.0004606254],"category_scores_gemma":[0.00003738955,0.0002770042,0.0001108409,0.0002084412,0.00006534097,0.00009825276,0.00005429252,0.0002358998,0.00007401394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921215,"about_ca_system_score_gemma":0.0001543428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137958,"about_ca_topic_score_gemma":0.0003231715,"domain_scores_codex":[0.9983301,0.00007769198,0.000510163,0.0004628692,0.0002818157,0.0003373875],"domain_scores_gemma":[0.9988707,0.0000575846,0.0002033539,0.0005261106,0.0001592819,0.000182919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003052027,0.0002752898,0.9850194,0.0002012348,0.0001208974,0.00002507873,0.0003994044,0.00004808245,0.01200091,0.00006366183,0.00004645696,0.001494388],"study_design_scores_gemma":[0.002957929,0.001382104,0.9926232,0.00008328268,0.000159895,0.00006270604,0.0004409852,0.00009528771,0.001133277,0.00004372562,0.0007589782,0.0002586383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998036,0.0002125506,0.000006341578,0.00007701256,0.0002194669,0.00099379,0.00002894358,0.00007319345,0.0003527449],"genre_scores_gemma":[0.998722,0.00008803737,0.0001902213,0.0001953376,0.0001657134,0.00001396467,0.00008802267,0.00005642471,0.0004802767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086764,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4404904682","doi":"10.1186/s40246-024-00699-1","title":"The associations of candidate gene polymorphisms with aspirin resistance in patients with ischemic disease: a meta-analysis","year":2024,"lang":"en","type":"review","venue":"Human Genomics","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Human genetics; Aspirin; Disease; Meta-analysis; Candidate gene; Gene; Bioinformatics; Genetics; Medicine; Biology; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.04724155169843578,"gpt":0.3017303533205292,"spread":0.2544888016220934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002873584,0.0003923708,0.002665512,0.0002600755,0.0001304774,0.00004423397,0.0002262115,0.0001015355,0.0000432919],"category_scores_gemma":[0.000009090282,0.0002015319,0.002315531,0.0007652825,0.0001345714,0.00002971093,0.00004540208,0.0002819134,0.000009995264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446266,"about_ca_system_score_gemma":0.0005060037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002933174,"about_ca_topic_score_gemma":0.0004463042,"domain_scores_codex":[0.9980857,0.0001380579,0.0005987248,0.0004497918,0.0004711226,0.0002565836],"domain_scores_gemma":[0.9983494,0.00005128642,0.0004362701,0.0009245832,0.0001115666,0.0001269524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0004998575,0.0003728854,0.003484194,0.005772186,0.9783131,0.0001930831,0.0001627105,0.00003398563,7.009344e-7,0.000399808,0.0006375798,0.0101299],"study_design_scores_gemma":[0.0005736498,0.00005027873,0.003858408,0.0004971116,0.6746041,0.000001120071,0.000005321125,4.969807e-7,7.989121e-7,0.00001650688,0.3201372,0.0002549399],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004420444,0.9932566,0.00001332297,0.00001879208,0.00001465359,0.0009148117,0.001162608,0.00001966314,0.0001791574],"genre_scores_gemma":[0.005178461,0.9899715,0.00009237085,0.00003421376,0.00005439038,0.0001969734,0.002632394,0.00009701557,0.001742734],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3194997,"threshold_uncertainty_score":0.8218233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402552245","doi":"10.1186/s40246-024-00651-3","title":"Integrated multiomics revealed adenosine signaling predict immunotherapy response and regulate tumor ecosystem of melanoma","year":2024,"lang":"en","type":"article","venue":"Human Genomics","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SKiN Health","funders":"China Postdoctoral Science Foundation; Central South University; National Natural Science Foundation of China; National Key Research and Development Program of China; Gastroenterological Society of Australia","keywords":"Human genetics; Immunotherapy; Melanoma; Adenosine; Biology; Cancer research; Tumor immunology; Immunology; Medicine; Immune system; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01007155556289328,"gpt":0.2400021923847822,"spread":0.2299306368218889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004860805,0.0002073876,0.0002486236,0.0001166885,0.00009169204,0.00005442444,0.000168104,0.0001307403,0.00003543563],"category_scores_gemma":[0.00002716079,0.0001953421,0.00008896604,0.00009923283,0.00006801936,0.000006262236,0.00007527124,0.0001216746,0.000004102758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003875645,"about_ca_system_score_gemma":0.0001143241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001985169,"about_ca_topic_score_gemma":0.000005566051,"domain_scores_codex":[0.9987764,0.0001286081,0.0004359845,0.0003691788,0.0000863955,0.00020344],"domain_scores_gemma":[0.9993936,0.00004478125,0.0001163814,0.0003018516,0.00008141295,0.00006198994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006830473,0.00002263461,0.000331403,0.0001039015,0.0001600725,0.00002570723,0.0002733466,0.0003605579,0.9964157,0.0001152904,0.001243649,0.000264743],"study_design_scores_gemma":[0.002169876,0.001158298,0.002936661,0.0004761131,0.0001341516,0.00033939,0.0004649283,0.006751621,0.9145843,0.000257753,0.06999799,0.0007288717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844916,0.0138712,0.001046906,0.0000383797,0.0001216507,0.0002193346,0.0001160981,0.00003607147,0.00005873546],"genre_scores_gemma":[0.9974389,0.0002347118,0.001061841,0.00005329181,0.0002495367,0.00001178289,0.0001631044,0.00006035885,0.0007264867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0818313,"threshold_uncertainty_score":0.7965819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200602081","doi":"10.1186/s40246-021-00371-y","title":"Driving mosaicism: somatic variants in reference population databases and effect on variant interpretation in rare genetic disease","year":2021,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Alberta Children's Hospital Research Institute; Genome Canada; Canadian Institutes of Health Research; Institute of Genetics; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Alberta Children's Hospital Foundation","keywords":"Human genetics; Genetics; Biology; Somatic cell; Population; Disease; Computational biology; Bioinformatics; Gene; Medicine; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.01210611448540622,"gpt":0.2603155355770476,"spread":0.2482094210916413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001013384,0.0001440847,0.0001513789,0.00007716032,0.00006025684,0.0000438608,0.00008246951,0.00005487233,0.00001483188],"category_scores_gemma":[0.0001085597,0.000151804,0.00002857747,0.00005788004,0.0000187185,0.000006898025,0.0001149903,0.00007512546,0.000003633447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004425622,"about_ca_system_score_gemma":0.00006201943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000709857,"about_ca_topic_score_gemma":0.0006491743,"domain_scores_codex":[0.9989991,0.0001255521,0.0002415756,0.0003993915,0.00006547262,0.0001689204],"domain_scores_gemma":[0.9994944,0.00002497191,0.00006555527,0.0003082048,0.00002106708,0.00008576285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004983166,0.0005218338,0.5583647,0.0004389355,0.00007101503,0.001077943,0.0005155171,0.008624309,0.4189774,0.001393533,0.00007792555,0.009438572],"study_design_scores_gemma":[0.0006900567,0.000117562,0.9937213,0.0001286543,0.00002566645,0.00001854482,0.00005329963,0.003049837,0.001381606,0.0005031663,0.00009319653,0.0002171083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986621,0.0007435389,0.0001758463,0.00001650037,0.0000570133,0.0001938759,0.00006202798,0.000005189533,0.0000839678],"genre_scores_gemma":[0.9978014,0.0001474986,0.0003315157,0.0001070712,0.00004805533,0.00002291295,0.001484392,0.00002049262,0.00003666315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4353566,"threshold_uncertainty_score":0.6190388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384923561","doi":"10.1186/s40246-023-00514-3","title":"Characterizing the polygenic architecture of complex traits in populations of East Asian and European descent","year":2023,"lang":"en","type":"article","venue":"Human Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute on Deafness and Other Communication Disorders; National Institute on Drug Abuse; National Center for Advancing Translational Sciences; National Institute of Mental Health; One Mind","keywords":"Biology; Biobank; Single-nucleotide polymorphism; Genetic architecture; Genetics; Quantitative trait locus; Genome-wide association study; Phenotype; Trait; Demography; Genotype; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.05461168938142022,"gpt":0.279466812065003,"spread":0.2248551226835828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000253179,0.00006171415,0.0001121616,0.00004666379,0.0000578375,0.000003401723,0.0001005133,0.00003912468,0.000004719969],"category_scores_gemma":[0.00002664846,0.00005256059,0.00003599896,0.00006539949,0.00006682347,6.105523e-7,0.00008127763,0.00004999421,0.000001472476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006237779,"about_ca_system_score_gemma":0.00001399877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001781338,"about_ca_topic_score_gemma":0.0002219404,"domain_scores_codex":[0.9993895,0.0001123835,0.000230025,0.0001171379,0.00002917627,0.0001217904],"domain_scores_gemma":[0.9997135,0.000005964668,0.0001139124,0.0001279953,0.00001766134,0.00002096495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000007617712,0.00002089868,0.04563008,0.00001422273,0.00002297457,4.32905e-7,0.00124599,0.0005277479,0.9469892,0.0002649956,0.0001394206,0.005136376],"study_design_scores_gemma":[0.0001603478,0.00004475909,0.9969499,0.000004680949,0.000007349208,0.000002740662,0.000321064,0.00008313313,0.0007011702,0.0002041071,0.001469568,0.00005118074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987417,0.00007373908,0.0001289148,0.0003810704,0.0000199056,0.00009528647,0.00003795595,0.000003082649,0.0005182922],"genre_scores_gemma":[0.999167,0.00003335143,0.0004465431,0.00006881186,0.00005068364,0.000002338339,0.0001667017,0.00001088027,0.00005367466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9513198,"threshold_uncertainty_score":0.2143359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389887683","doi":"10.1186/s40246-023-00560-x","title":"The Human Genome Organisation (HUGO) and a vision for Ecogenomics: the Ecological Genome Project","year":2023,"lang":"en","type":"review","venue":"Human Genomics","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Fondation Brocher","keywords":"Human genetics; Genome; Human genome; Biology; Genome Biology; Evolutionary biology; Ecology; Computational biology; Genomics; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.1413890124875977,"gpt":0.4285968361255119,"spread":0.2872078236379141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001895439,0.0005240946,0.001375007,0.0001851357,0.001806206,0.0003461068,0.0005337298,0.0004024329,0.0001265215],"category_scores_gemma":[0.0001454136,0.0002840376,0.0004865528,0.0002012228,0.0002663264,0.00004436799,0.0003195173,0.0005388355,0.0002250134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007358597,"about_ca_system_score_gemma":0.001400005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000039988,"about_ca_topic_score_gemma":0.00009207806,"domain_scores_codex":[0.9969544,0.0002371376,0.001137303,0.0007269714,0.0002303881,0.0007137535],"domain_scores_gemma":[0.9974566,0.0006703974,0.0005955582,0.0009052656,0.0001107912,0.0002614256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001174208,0.0007448881,0.00001200203,0.04555191,0.00190397,0.0000608081,0.002663701,0.000004062636,0.000101877,0.03460699,0.006186558,0.9080458],"study_design_scores_gemma":[0.0005282738,0.0007086928,0.0004854386,0.0003645585,0.001153685,0.0000610324,0.0003649339,0.00002263063,3.593823e-8,0.001353437,0.9946431,0.0003141817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004817776,0.9824935,0.00002732588,0.0004709452,0.0002883236,0.01009962,0.0005334326,0.0001665584,0.001102548],"genre_scores_gemma":[0.0001525979,0.9920349,0.0001219889,0.0003846815,0.001692622,0.0007049719,0.002537332,0.0002038444,0.002167069],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9884565,"threshold_uncertainty_score":0.9999612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402784943","doi":"10.1186/s40246-024-00670-0","title":"Study of adiponectin gene (rs1501299) polymorphism and serum adiponectin level in patients with primary knee osteoarthritis","year":2024,"lang":"en","type":"article","venue":"Human Genomics","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Alexandria University; Science and Technology Development Fund","keywords":"Adiponectin; Medicine; Internal medicine; Osteoarthritis; WOMAC; Body mass index; Single-nucleotide polymorphism; Genotype; Visual analogue scale; Knee pain; Oncology; Physical therapy; Pathology; Obesity; Biology; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01842033796964445,"gpt":0.2391276381130041,"spread":0.2207073001433596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001725214,0.0002235349,0.0004458683,0.0003327643,0.00008111283,0.00003030016,0.00006954254,0.00006945113,0.00006495036],"category_scores_gemma":[0.00002464118,0.0002013311,0.00004387378,0.000212514,0.00007935212,0.0001285638,0.00006060893,0.0001613213,0.000009360909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009674149,"about_ca_system_score_gemma":0.0001737569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504667,"about_ca_topic_score_gemma":0.000370171,"domain_scores_codex":[0.9985957,0.00004977761,0.0004597991,0.0003790347,0.0002601577,0.0002555107],"domain_scores_gemma":[0.9993019,0.00003993677,0.00009957569,0.0003155227,0.00009641948,0.0001467018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001120462,0.00200185,0.8949348,0.000654964,0.0005329966,0.0002612238,0.01172386,0.00004596958,0.004842685,0.0004672646,0.0001732682,0.08324066],"study_design_scores_gemma":[0.006311386,0.001711789,0.989062,0.0001565885,0.0003496672,0.00002827217,0.0004374774,0.000009106848,0.0003079888,0.00004722267,0.001368237,0.0002102723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946577,0.003141658,0.000008098823,0.0000255186,0.000148062,0.001081023,0.00009461718,0.00006026743,0.0007830592],"genre_scores_gemma":[0.9984578,0.00003658155,0.0002227025,0.00008708103,0.0001783311,0.00004324661,0.0001342608,0.00005766962,0.0007822579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09412719,"threshold_uncertainty_score":0.8210045,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403208474","doi":"10.1186/s40246-024-00679-5","title":"Leveraging large-scale datasets and single cell omics data to develop a polygenic score for cisplatin-induced ototoxicity","year":2024,"lang":"en","type":"article","venue":"Human Genomics","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Research Institute in Oncology and Hematology; Children's Hospital Research Institute of Manitoba; Sunnybrook Hospital; CancerCare Manitoba; Research Manitoba; University of Manitoba","funders":"Canadian Institutes of Health Research; Children's Hospital Research Institute of Manitoba; Research Manitoba; CancerCare Manitoba Foundation; Health Sciences Centre Research Foundation","keywords":"Genome-wide association study; Biology; Ototoxicity; Cohort; Human genetics; Single-nucleotide polymorphism; Hearing loss; Computational biology; Genetic association; Cisplatin; Oncology; Bioinformatics; Genetics; Medicine; Internal medicine; Gene; Genotype; Audiology; Chemotherapy","retraction":null,"screen_n_in":null,"score":{"opus":0.1830574980394769,"gpt":0.3332120689475547,"spread":0.1501545709080778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006362228,0.0003195112,0.0002881154,0.0002091002,0.0005224471,0.0005447335,0.001027122,0.0001297857,0.00002711334],"category_scores_gemma":[0.0004005146,0.0003694527,0.0000357412,0.0004229349,0.00006482343,0.0002378374,0.001796118,0.0003105179,0.0001116153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197345,"about_ca_system_score_gemma":0.0003366674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002472238,"about_ca_topic_score_gemma":0.0001845515,"domain_scores_codex":[0.9971052,0.00006785419,0.0004871033,0.001342668,0.000239495,0.0007576505],"domain_scores_gemma":[0.997977,0.0002429529,0.00009088692,0.001341068,0.00005369059,0.000294402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002117498,0.00007438818,0.0001490693,0.0001584688,0.000007220846,0.00002098909,0.002140941,0.00005347117,0.9924458,0.0001707682,0.003309665,0.001448031],"study_design_scores_gemma":[0.0009586777,0.0002596572,0.00165681,0.0001012254,0.00007996325,0.00006668078,0.0003613082,0.03262557,0.7987818,0.0004768537,0.1636082,0.001023317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874824,0.0001444376,0.00721738,0.0001230467,0.0004035329,0.0009882513,0.003231501,0.0001625945,0.0002468468],"genre_scores_gemma":[0.9823693,0.00002671249,0.01492681,0.001235967,0.0002866175,0.00002777043,0.0007129489,0.0001293921,0.0002845089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1936641,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412391450","doi":"10.1186/s40246-025-00784-z","title":"Communicating clearly about data sharing in genomics","year":2025,"lang":"en","type":"review","venue":"Human Genomics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Genomics; Terry Fox Research Institute; McGill Genome Centre","funders":"","keywords":"Human genetics; Genome Biology; Genomics; Biology; Computational biology; Data sharing; Computational genomics; Genetics; Data science; Evolutionary biology; Computer science; Genome; Medicine; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.8462312081828606,"gpt":0.663518878151511,"spread":0.1827123300313496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science","research_integrity"],"category_scores_codex":[0.008817019,0.0004772108,0.002590485,0.000533253,0.0002621867,0.0001934362,0.006652061,0.001401599,0.0001276603],"category_scores_gemma":[0.006653936,0.000478663,0.0003303903,0.0004470435,0.0003386367,0.00008025196,0.01158799,0.009199816,0.0002546857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324436,"about_ca_system_score_gemma":0.003199956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002523793,"about_ca_topic_score_gemma":0.001312141,"domain_scores_codex":[0.9948801,0.0002830186,0.002201089,0.001431739,0.0005120159,0.0006920072],"domain_scores_gemma":[0.9819514,0.007444935,0.0005580438,0.009606141,0.0001921223,0.0002474142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002149223,0.0001786314,0.0001794504,0.09603706,0.0003409472,0.0001090319,0.0003754148,0.000001821078,0.000005587992,0.01715964,0.0006496017,0.8849413],"study_design_scores_gemma":[0.0004554063,0.00005740877,0.00004639547,0.0454255,0.0004734056,0.00001785831,0.00005423428,0.0001071123,2.627183e-7,0.002932925,0.950069,0.000360484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000115506,0.9749125,0.00001510799,0.0001050506,0.0001461537,0.001433436,0.0001966389,0.00006472719,0.02301094],"genre_scores_gemma":[0.00001295147,0.9871085,0.00480687,0.0002953873,0.0003877153,0.00005794499,0.002212499,0.0001593503,0.004958834],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9494194,"threshold_uncertainty_score":0.9998948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126189439","doi":"10.1186/s40246-021-00310-x","title":"The Human Genome Organisation (HUGO) and the 2020 COVID-19 pandemic","year":2021,"lang":"en","type":"letter","venue":"Human Genomics","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Dalhousie University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Human genetics; Genomics; Genome; Human genome; Genomic medicine; Bioethics; Biology; Political science; Virology; Computational biology; Genetics; Medicine; Gene; Infectious disease (medical specialty)","retraction":null,"screen_n_in":null,"score":{"opus":0.06127649106612694,"gpt":0.3159035065689949,"spread":0.2546270155028679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001212846,0.0002675148,0.0004342521,0.00005579702,0.001298976,0.0001732511,0.0002516357,0.001035486,0.0004423998],"category_scores_gemma":[0.0001044862,0.0001485224,0.0001373359,0.00009729594,0.002301427,0.0000185824,0.0001853377,0.002307598,0.00002227128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962644,"about_ca_system_score_gemma":0.0004909042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001225022,"about_ca_topic_score_gemma":0.000155438,"domain_scores_codex":[0.9980567,0.0002614001,0.0004911888,0.0004308855,0.0004535545,0.0003062557],"domain_scores_gemma":[0.9984111,0.0004074829,0.0002952614,0.0006343988,0.0001006234,0.0001511682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009621033,0.00004471478,0.0003994291,0.001159278,0.0007717236,0.0003378426,0.007892084,0.00000675969,0.01658267,0.01458698,0.9554394,0.002682951],"study_design_scores_gemma":[0.001671039,0.00004575844,0.001750807,0.00002531107,0.0002825823,0.0001901058,0.0002163609,0.0000422337,0.000005059061,0.01349995,0.9820827,0.0001881206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01433563,0.004306836,0.0001670501,0.978987,0.000363282,0.000838929,0.00003266971,0.00006595216,0.0009026595],"genre_scores_gemma":[0.03868722,0.004366014,0.00007412335,0.9258611,0.01312486,0.00005027921,0.004023895,0.0001272014,0.01368533],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05312591,"threshold_uncertainty_score":0.9999941,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}