{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":697,"total_is_capped":false,"direct_labels_cover":2,"predictions_cover":697,"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":"9a9e3edcaf70","filters":{"venue":"Frontiers in Genetics"}},"results":[{"id":"W2138237282","doi":"10.3389/fgene.2015.00002","title":"Non-coding RNA: what is functional and what is junk?","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":920,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Non-coding RNA; Noncoding DNA; Biology; RNA; Genome; Multicellular organism; Computational biology; Genetics; Gene; Long non-coding RNA; Evolutionary biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01665615549210843,"gpt":0.2600917899997028,"spread":0.2434356345075944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002515514,0.0001962698,0.0001820766,0.0001364202,0.00006136559,0.000268934,0.0001967697,0.0003014515,0.00002632721],"category_scores_gemma":[0.00002219305,0.0002195347,0.0000649404,0.000177793,0.0001115298,0.00003272909,0.0002492973,0.0002047374,0.00001200161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008189442,"about_ca_system_score_gemma":0.0001972401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001005583,"about_ca_topic_score_gemma":0.000009591005,"domain_scores_codex":[0.9984934,0.00004267176,0.000212539,0.0005132334,0.000348156,0.0003900529],"domain_scores_gemma":[0.9991746,0.000003983803,0.00005461742,0.0004005972,0.0001469476,0.000219266],"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":[0.0005523343,0.0001500487,0.002536028,0.00009655255,0.0003696726,0.000051126,0.00181365,0.001521112,0.3768848,0.0000319256,0.3548249,0.2611678],"study_design_scores_gemma":[0.002210641,0.000425947,0.0003993484,0.0001126004,0.00003924616,0.00003348709,0.004365312,0.007116785,0.816056,0.0009211722,0.1677917,0.0005277782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3655598,0.2214409,0.3992081,0.00283939,0.008657396,0.001061386,0.00003096009,0.00003055839,0.001171492],"genre_scores_gemma":[0.7671276,0.1930514,0.02837779,0.005377577,0.001071972,0.0001033064,0.0002116175,0.0001697108,0.004509084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4391711,"threshold_uncertainty_score":0.8952366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007610885","doi":"10.3389/fgene.2014.00429","title":"Molecular signatures and phylogenomic analysis of the genus Burkholderia: proposal for division of this genus into the emended genus Burkholderia containing pathogenic organisms and a new genus Paraburkholderia gen. nov. harboring environmental species","year":2014,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Burkholderia infections and melioidosis","field":"Medicine","cited_by":477,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Biology; Burkholderia; Clade; Phylogenetic tree; Genus; Phylogenetics; 16S ribosomal RNA; Burkholderia cepacia complex; Evolutionary biology; Genetics; Gene; Zoology; Bacteria","retraction":null,"screen_n_in":null,"score":{"opus":0.009604092866056626,"gpt":0.2203615803332292,"spread":0.2107574874671726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006193831,0.0004665965,0.001008071,0.0004241047,0.0002832282,0.00006130872,0.0003476467,0.0003210178,0.00006199675],"category_scores_gemma":[0.0001469114,0.0003474245,0.000346734,0.0006648013,0.0005285065,0.00006175301,0.0003195381,0.0003362328,6.318466e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473501,"about_ca_system_score_gemma":0.0001996503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001417324,"about_ca_topic_score_gemma":0.0000466911,"domain_scores_codex":[0.9972937,0.0001956049,0.0008529998,0.0006970161,0.0004459921,0.0005147149],"domain_scores_gemma":[0.998262,0.0001082217,0.0004922496,0.0008602844,0.00007965729,0.0001975749],"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":[0.0002318335,0.000166093,0.07719055,0.0001559793,0.001579695,0.000008118974,0.004585106,0.002028279,0.8852278,0.0001766601,0.0002715045,0.02837838],"study_design_scores_gemma":[0.008157146,0.00204242,0.4551046,0.0002508261,0.008935424,0.0000528456,0.003827378,0.03331053,0.4722852,0.0009381107,0.01392601,0.001169545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613683,0.01157145,0.02437063,0.0002635808,0.0007387388,0.001539998,0.00008102102,0.00002124412,0.00004499801],"genre_scores_gemma":[0.9757939,0.001574996,0.02201941,0.0001410385,0.0001763181,0.00007811017,0.00004290826,0.00007874399,0.00009457986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129426,"threshold_uncertainty_score":0.9998978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103013707","doi":"10.3389/fgene.2013.00131","title":"Micronuclei in genotoxicity assessment: from genetics to epigenetics and beyond","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":446,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Cancer Foundation; U.S. Department of Energy","keywords":"Micronucleus test; Micronucleus; Epigenetics; Genetics; Genotoxicity; Genome instability; Biology; Chromosome instability; Cytokinesis; DNA damage; Clastogen; Cell division; Gene; Chromosome; Cell; Cell biology; DNA; Chemistry; Toxicity","retraction":null,"screen_n_in":null,"score":{"opus":0.005295992445973187,"gpt":0.2368724494399501,"spread":0.2315764569939769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001965231,0.0003526285,0.0003828738,0.000223274,0.00007061513,0.0001008182,0.0003825202,0.0003259986,0.00004512204],"category_scores_gemma":[0.00002276013,0.000404785,0.00007401025,0.0002656291,0.0001227356,0.000006513828,0.00044814,0.0002272541,0.00001247547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110205,"about_ca_system_score_gemma":0.0001204331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002548344,"about_ca_topic_score_gemma":0.0007432243,"domain_scores_codex":[0.9976833,0.0001183663,0.0005304248,0.0007966256,0.0002497687,0.0006214859],"domain_scores_gemma":[0.9988847,0.000016209,0.00009122777,0.000645835,0.00008570694,0.0002763559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002624078,0.0001508548,0.5221882,0.00001625022,0.00004714612,0.000008454582,0.0002767318,0.00138917,0.4411607,0.000009488767,0.004274922,0.0304519],"study_design_scores_gemma":[0.001451852,0.0004681414,0.829174,0.00002414775,0.00003155849,0.000004302649,0.0007756937,0.004741809,0.1395619,0.001233946,0.021725,0.0008075622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758905,0.005440247,0.01631191,0.0002988897,0.0004753527,0.0009663429,0.0001071987,0.000009901394,0.0004996507],"genre_scores_gemma":[0.8272732,0.00250498,0.1686447,0.001027794,0.0001681961,0.00009805468,0.0001039486,0.00005513998,0.0001239165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3069859,"threshold_uncertainty_score":0.9998404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016581293","doi":"10.3389/fgene.2013.00132","title":"Cigarette smoking and DNA methylation","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":389,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hospital for Sick Children","funders":"Canadian Institutes of Health Research; University of Toronto; Université de Sherbrooke","keywords":"DNA methylation; Epigenetics; Epigenome; Biology; Genetics; Methylation; Context (archaeology); Gene; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.007504875229948939,"gpt":0.2253878593880463,"spread":0.2178829841580973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000164923,0.0001175012,0.0001105654,0.00007936761,0.00004401041,0.0000381368,0.0000899569,0.0001668771,0.00001105639],"category_scores_gemma":[0.00004370397,0.0001252815,0.00002841683,0.00008945398,0.00005440975,0.000004348919,0.00006796372,0.00007625523,0.000001687885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001419966,"about_ca_system_score_gemma":0.00001903831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191411,"about_ca_topic_score_gemma":0.000008883726,"domain_scores_codex":[0.9991775,0.00005329553,0.0001952674,0.0002683364,0.0001098827,0.00019568],"domain_scores_gemma":[0.9996029,0.000006546998,0.00005822782,0.0002149899,0.00005314395,0.00006424468],"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":[0.00001323246,0.00003094031,0.325721,0.00002021459,0.0000640454,0.00000114354,0.0001650607,0.0006641549,0.5171028,0.00003382982,0.003428286,0.1527553],"study_design_scores_gemma":[0.0007711151,0.0002021003,0.3211645,0.00001668359,0.00003620135,0.000001623822,0.0001905532,0.004409175,0.6392868,0.005668107,0.02782272,0.0004304223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95979,0.0125964,0.02607676,0.0001170435,0.0003864862,0.0002126785,0.000002763578,0.000006970472,0.0008109274],"genre_scores_gemma":[0.9848793,0.001771653,0.01283003,0.0001091608,0.000131144,0.00002368094,0.00004357748,0.00002122883,0.0001902919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1523249,"threshold_uncertainty_score":0.5108833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2959872456","doi":"10.3389/fgene.2019.00736","title":"Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":281,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Institute for Cancer Research","funders":"Center for Individualized Medicine, Mayo Clinic; Carl R. Woese Institute for Genomic Biology; Mayo Clinic","keywords":"Computer science; Workflow; Scalability; Pipeline (software); Software; Software deployment; Sample (material); Data mining; Software engineering; Database; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.007113183464522518,"gpt":0.213585716453636,"spread":0.2064725329891135,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107639,0.0001523752,0.0001589256,0.00004990521,0.00006319684,0.0000303458,0.0001211889,0.00009954769,0.000005157915],"category_scores_gemma":[0.00001594771,0.000159801,0.00003399535,0.00006836013,0.00007021875,0.000001479633,0.0001088102,0.00008400431,0.000002919638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001337594,"about_ca_system_score_gemma":0.00005478886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003596909,"about_ca_topic_score_gemma":0.000006029204,"domain_scores_codex":[0.9991099,0.00002800025,0.0002054271,0.0003135453,0.00009577836,0.0002473439],"domain_scores_gemma":[0.9996417,0.00001515015,0.0000638363,0.0001736696,0.00005191418,0.00005373196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005788115,0.00003654762,0.8915982,0.00004415686,0.00009147962,0.000002882246,0.0001012213,0.06937812,0.01592986,0.00004279463,0.0009705152,0.02174629],"study_design_scores_gemma":[0.002686595,0.0006093741,0.7375185,0.00007536071,0.00006705172,0.00003962894,0.000776394,0.2175604,0.01816393,0.001491391,0.01998659,0.001024772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98522,0.005086502,0.008379977,0.00003633671,0.0005507611,0.0002046845,0.00001448875,0.000002741632,0.0005045246],"genre_scores_gemma":[0.9517812,0.002185018,0.04568409,0.00006696652,0.00009619077,0.000007605009,0.00003690018,0.00001728841,0.0001247359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1540798,"threshold_uncertainty_score":0.6516497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899316675","doi":"10.3389/fgene.2018.00507","title":"Exploring the Impact of Single-Nucleotide Polymorphisms on Translation","year":2018,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":228,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Single-nucleotide polymorphism; Genetics; Gene; Biology; Human genome; Computational biology; Genome; Translation (biology); Genotype; Messenger RNA","retraction":null,"screen_n_in":null,"score":{"opus":0.1230423249093308,"gpt":0.3237734533692889,"spread":0.2007311284599581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001448317,0.0002427321,0.0004338852,0.0001188737,0.00004169369,0.00001563309,0.0003458574,0.0001624658,0.000004979546],"category_scores_gemma":[0.00001390472,0.0001670687,0.0003883707,0.0002033271,0.000123841,0.000002416446,0.00003080347,0.0001207923,0.0000035907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007100151,"about_ca_system_score_gemma":0.0001498855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324612,"about_ca_topic_score_gemma":0.000004814949,"domain_scores_codex":[0.9988762,0.0001071574,0.0003957983,0.0003064271,0.00011737,0.0001970471],"domain_scores_gemma":[0.9990705,0.0000117296,0.0002163562,0.0006234405,0.00004014383,0.00003779331],"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":[0.0000178588,0.00005544297,0.00006126182,0.0002131919,0.0001336511,3.946942e-7,0.00004849386,0.0001595721,0.0004328534,0.000002092017,0.003526832,0.9953483],"study_design_scores_gemma":[0.0001559967,0.0004511657,0.0002079861,0.0008734737,0.0001392685,0.000002948012,0.00002201299,0.00003697323,0.0009391124,0.0000259748,0.9968788,0.0002662751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004542912,0.9926301,0.001193374,0.00000744174,0.0007363698,0.0003840878,0.00006386805,0.000003761752,0.0004380407],"genre_scores_gemma":[0.002242658,0.9957061,0.001257016,0.000007708127,0.0004363999,0.0000795435,0.0001235399,0.0000488747,0.00009814651],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9950821,"threshold_uncertainty_score":0.6812863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1714206796","doi":"10.3389/fgene.2015.00293","title":"Efficacy of the porcine species in biomedical research","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":226,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"Ciência sem Fronteiras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Domestication; Biology; Transgenesis; Cloning (programming); Computational biology; Somatic cell; Genome editing; Somatic cell nuclear transfer; Biotechnology; Genome; Bioinformatics; Genetics; Reproductive technology; Computer science; Gene; Blastocyst","retraction":null,"screen_n_in":null,"score":{"opus":0.03479789215171608,"gpt":0.3534591695067187,"spread":0.3186612773550026,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005086709,0.00007935936,0.0001218689,0.0001257955,0.00001398033,0.00000538492,0.0003103355,0.0001172656,0.000002834702],"category_scores_gemma":[0.000265443,0.00006438091,0.00003666438,0.0003746114,0.0002042601,7.5089e-7,0.000190059,0.0001576113,9.416065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000288866,"about_ca_system_score_gemma":0.0001103721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001437746,"about_ca_topic_score_gemma":0.00003731851,"domain_scores_codex":[0.9990118,0.00007826222,0.0002194574,0.0001810643,0.0002638699,0.0002455995],"domain_scores_gemma":[0.9994817,0.00001056732,0.00002381573,0.0003543872,0.00006071916,0.00006878372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215767,0.0003395018,0.649746,0.00005310042,0.00003659011,0.0000112062,0.00104135,0.01096628,0.2340257,0.0000601644,0.09479463,0.008703912],"study_design_scores_gemma":[0.003327443,0.0004539669,0.4455909,0.00007502999,0.000009816299,0.000008518226,0.001572969,0.002173076,0.3525769,0.0004839929,0.1934467,0.0002806493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884885,0.004784943,0.004697183,0.0002305735,0.0007006187,0.0001873011,0.000005158947,0.000002464081,0.0009032838],"genre_scores_gemma":[0.9937913,0.0003346699,0.005170775,0.00001960606,0.0001546879,0.000005985137,0.00001108271,0.00001304089,0.0004988802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2041551,"threshold_uncertainty_score":0.2625377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3039150496","doi":"10.3389/fgene.2020.00654","title":"Gene Set Analysis: Challenges, Opportunities, and Future Research","year":2020,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":224,"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":"Set (abstract data type); Computer science; Strengths and weaknesses; Class (philosophy); Data set; Data mining; Data science; Computational biology; Biology; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1091931569587053,"gpt":0.3370184818457165,"spread":0.2278253248870112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006899025,0.0004250255,0.001265471,0.0004367537,0.00008639823,0.00006371486,0.0005373725,0.0009233312,0.000006660237],"category_scores_gemma":[0.0000135234,0.0004012747,0.0003052503,0.000523163,0.000176355,0.000002379945,0.0004786372,0.0006262664,0.000003783056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005535756,"about_ca_system_score_gemma":0.0003824644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002750049,"about_ca_topic_score_gemma":0.00002080945,"domain_scores_codex":[0.9976213,0.000310881,0.000651159,0.0006312876,0.0002616839,0.0005236758],"domain_scores_gemma":[0.9987347,0.0000153277,0.0002022441,0.0007210564,0.00007739841,0.0002492974],"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":[0.000008328325,0.00001320603,0.00001015862,0.001675549,0.0009793636,0.00002355189,0.0001109095,0.000005269701,4.205767e-7,0.00004976935,0.0220284,0.9750951],"study_design_scores_gemma":[0.0001481381,0.0001209077,0.000005924566,0.0001992376,0.0007393582,0.00001813865,0.0005253431,0.0002101381,0.000001967133,0.00008402472,0.9975418,0.0004049774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005085462,0.9970809,0.0005551291,0.0002080838,0.0005544202,0.0005006674,0.0002123458,0.000007635032,0.0008757915],"genre_scores_gemma":[0.000005616322,0.9894556,0.007075463,0.0000734202,0.001532759,0.00006275624,0.00148279,0.00006262875,0.0002489615],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9755135,"threshold_uncertainty_score":0.9998439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997919779","doi":"10.3389/fgene.2015.00143","title":"Telomeric repeat-containing RNA TERRA: a noncoding RNA connecting telomere biology to genome integrity","year":2015,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":223,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; European Commission","keywords":"Telomere; Biology; Heterochromatin; Telomerase; Genome instability; Genetics; Chromatin; Shelterin; Genome; RNA; Non-coding RNA; Homologous recombination; DNA; DNA damage; Gene; DNA-binding protein","retraction":null,"screen_n_in":null,"score":{"opus":0.09032682983166372,"gpt":0.3685172446319164,"spread":0.2781904148002526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00148243,0.001211047,0.005023978,0.001807424,0.0001937408,0.00008691018,0.0009202822,0.001191238,0.00006554067],"category_scores_gemma":[0.001139076,0.001096031,0.0006292146,0.001930387,0.0002228963,0.00008201473,0.0004992265,0.002366911,0.00009159475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634264,"about_ca_system_score_gemma":0.001402811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001293211,"about_ca_topic_score_gemma":0.0000322927,"domain_scores_codex":[0.9938058,0.000491591,0.00205096,0.001659149,0.0005274471,0.001465105],"domain_scores_gemma":[0.9964066,0.0002124795,0.000792365,0.001405558,0.0003152406,0.0008677535],"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":[0.00009193471,0.00009564126,0.001670944,0.004189971,0.0003268487,0.0002850255,0.001475779,0.00000785553,0.00006723107,0.00001239093,0.001782544,0.9899938],"study_design_scores_gemma":[0.001000917,0.0007835434,0.0001361266,0.008005059,0.0008543126,0.000341638,0.001810283,0.00009988405,0.00002537025,0.00008023506,0.9856324,0.001230245],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001912607,0.9839622,0.004447936,0.0001064854,0.003665159,0.002277576,0.0001105835,0.0002021071,0.00331528],"genre_scores_gemma":[0.00184572,0.9283542,0.06718539,0.0003587249,0.001201374,0.0001618968,0.0002941079,0.0002581151,0.0003404856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9887636,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913041247","doi":"10.3389/fgene.2018.00712","title":"RNA Dysregulation in Amyotrophic Lateral Sclerosis","year":2019,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":203,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fondation Brain Canada; ALS Society of Canada","keywords":"Amyotrophic lateral sclerosis; TARDBP; C9orf72; SOD1; Biology; RNA; RNA splicing; microRNA; Motor neuron; RNA-binding protein; Alternative splicing; Neuroscience; Gene; Disease; Messenger RNA; Genetics; Trinucleotide repeat expansion; Medicine; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.1057272638289891,"gpt":0.3480925288338683,"spread":0.2423652650048792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003874751,0.0005492328,0.002424964,0.001142572,0.00003161756,0.00005402029,0.0004192418,0.0007664501,0.0001056492],"category_scores_gemma":[0.00006006103,0.000472629,0.0003974693,0.00112504,0.0001340568,0.00007134789,0.0002116327,0.00118954,0.000160923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247132,"about_ca_system_score_gemma":0.0004748554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004204838,"about_ca_topic_score_gemma":0.00001177471,"domain_scores_codex":[0.9962604,0.0003085897,0.001105468,0.0008008062,0.0007139557,0.0008108023],"domain_scores_gemma":[0.9985409,0.0000457149,0.0002458426,0.0008963551,0.00007452576,0.0001966092],"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":[0.00004860529,0.0001131267,0.008289792,0.007294242,0.0001098692,0.0000594687,0.00006196545,0.00007487333,0.00001746707,0.000004923484,0.006766611,0.9771591],"study_design_scores_gemma":[0.001890024,0.0002813389,0.04984435,0.02770136,0.0004137509,0.00002194073,0.000009448653,0.002116247,0.000003127738,0.0001067674,0.9168938,0.0007178357],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003455025,0.9924179,0.0001137478,0.0001784564,0.001178911,0.002224526,0.00002509408,0.00003469354,0.0003716143],"genre_scores_gemma":[0.0007555386,0.9912041,0.005806788,0.0001353812,0.0002273677,0.0001290528,0.0002255017,0.0001520182,0.001364294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9764412,"threshold_uncertainty_score":0.9997725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909675353","doi":"10.3389/fgene.2018.00660","title":"Novel Resilience Phenotypes Using Feed Intake Data From a Natural Disease Challenge Model in Wean-to-Finish Pigs","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":193,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre de Développement du Porc du Québec; University of Alberta; University of Saskatchewan","funders":"Genome Prairie; Genome Alberta; University of Alberta; Genome Canada","keywords":"Heritability; Disease; Biology; Crossbreed; Animal science; Resilience (materials science); Psychological resilience; Medicine; Veterinary medicine; Internal medicine; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.02692922048684064,"gpt":0.2622763461242832,"spread":0.2353471256374426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001536127,0.0002748225,0.0002769369,0.000111139,0.0000392388,0.00003057896,0.001093063,0.0001823577,0.00001022688],"category_scores_gemma":[0.00008950537,0.0003009445,0.00004646114,0.0001788957,0.00009247422,0.00001071378,0.0006635693,0.0002250589,0.00001118959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004386627,"about_ca_system_score_gemma":0.0002391288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007166022,"about_ca_topic_score_gemma":0.000236635,"domain_scores_codex":[0.9979622,0.00005358227,0.0003622138,0.0009303681,0.0002374193,0.0004542123],"domain_scores_gemma":[0.9983569,0.00001462994,0.00008265137,0.001319182,0.00004376331,0.0001829155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001284993,0.0006722822,0.2023899,0.00009573645,0.0001154019,0.000006127057,0.001196222,0.653495,0.1262011,0.0003559233,0.004569897,0.009617502],"study_design_scores_gemma":[0.00337813,0.000341187,0.4151527,0.0002074269,0.00008223388,0.000002623939,0.0007967783,0.565847,0.002526724,0.006858244,0.003422008,0.001384909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8799537,0.00559601,0.1121658,0.0001082727,0.001077697,0.0004718365,0.0003465831,0.00001012939,0.0002699566],"genre_scores_gemma":[0.7058967,0.0001298479,0.2930958,0.0002284954,0.0001405247,0.000008347191,0.0002537466,0.0000333203,0.0002131734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2127628,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2937762029","doi":"10.3389/fgene.2019.00381","title":"To Embed or Not: Network Embedding as a Paradigm in Computational Biology","year":2019,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; Vector Institute; SickKids Foundation; University of Toronto","funders":"","keywords":"DECIPHER; Computer science; Embedding; Biological network; Systems biology; Graph; Variety (cybernetics); Theoretical computer science; Data science; Data mining; Machine learning; Artificial intelligence; Computational biology; Bioinformatics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02816589109015738,"gpt":0.3304873299488122,"spread":0.3023214388586549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004439219,0.0004813118,0.001271424,0.0002501604,0.00004060358,0.00004297145,0.0005845155,0.0008775374,0.00001708758],"category_scores_gemma":[0.00004913255,0.0004326063,0.0002354355,0.0004165297,0.00006502287,0.000002458883,0.0003263759,0.0003833117,0.00006235287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104693,"about_ca_system_score_gemma":0.0005541966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005453207,"about_ca_topic_score_gemma":0.00003711527,"domain_scores_codex":[0.9974571,0.0001812257,0.0009607922,0.0006057614,0.0001227715,0.0006723441],"domain_scores_gemma":[0.9989572,0.00005494469,0.0002893337,0.0005321159,0.00002893663,0.0001375243],"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":[0.0001320643,0.0000475964,0.0003973462,0.001704068,0.0002148792,0.00001406611,0.00009646366,0.08435506,0.000001422646,0.0002003057,0.03610545,0.8767313],"study_design_scores_gemma":[0.0004259027,0.0002316714,0.00001908975,0.00118256,0.00007872844,0.00002449111,0.00002134617,0.008098372,0.00000117465,0.0008664406,0.9884748,0.0005753759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009583098,0.9531061,0.04321868,0.00003241459,0.001916458,0.001190949,0.00007921914,0.000008177309,0.0003521685],"genre_scores_gemma":[0.0001387436,0.9421707,0.05481757,0.0006022721,0.0005908402,0.0001036073,0.0009612883,0.00007753525,0.0005373957],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9523694,"threshold_uncertainty_score":0.9998125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886685933","doi":"10.3389/fgene.2018.00318","title":"Genome-Wide Characterization of Selection Signatures and Runs of Homozygosity in Ugandan Goat Breeds","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":185,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Wageningen University and Research","keywords":"Runs of Homozygosity; Biology; Inbreeding; Genetics; Fixation index; Single-nucleotide polymorphism; Breed; Selection (genetic algorithm); Haplotype; Genetic diversity; Candidate gene; Genotyping; Genome; Evolutionary biology; Genetic variation; Genotype; Gene; Population; Genetic structure","retraction":null,"screen_n_in":null,"score":{"opus":0.004285504726185305,"gpt":0.2002928070439731,"spread":0.1960073023177878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048133,0.0001063959,0.000168312,0.0001030822,0.00002217627,0.000004470303,0.0001165428,0.0001720702,0.000005606316],"category_scores_gemma":[0.00002309441,0.0001152965,0.00002466868,0.0001598974,0.0001979076,0.000002789281,0.00005426628,0.00006982068,1.79745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001046722,"about_ca_system_score_gemma":0.00004574355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108084,"about_ca_topic_score_gemma":0.00006474419,"domain_scores_codex":[0.999264,0.00004997424,0.0002478212,0.0002087312,0.00008242599,0.0001470261],"domain_scores_gemma":[0.9996331,0.000004876995,0.0001047663,0.0001499837,0.00007383408,0.00003347503],"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":[0.00008286985,0.00005454666,0.4725678,0.00003038662,0.00001681746,8.822722e-8,0.0002976953,0.0002293491,0.5245177,0.00002878505,0.00005920614,0.002114838],"study_design_scores_gemma":[0.0003432671,0.0004139086,0.7749323,0.00001315667,0.0000101187,0.000001026252,0.00004657546,0.0001291306,0.2228852,0.0003921175,0.0007400327,0.0000931088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581087,0.0008639956,0.04044704,0.00001444905,0.0002236023,0.0001653783,0.00001983089,0.000002520911,0.0001544737],"genre_scores_gemma":[0.9729707,0.000302906,0.02644753,0.00003113315,0.00009942679,0.00000416876,0.00005046942,0.00001232136,0.00008133143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3023646,"threshold_uncertainty_score":0.4701654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046438238","doi":"10.3389/fgene.2020.00793","title":"Large-Scale Phenotyping of Livestock Welfare in Commercial Production Systems: A New Frontier in Animal Breeding","year":2020,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":166,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; National Institute of Food and Agriculture; Purdue University; U.S. Department of Agriculture","keywords":"Livestock; Animal welfare; Selection (genetic algorithm); Biotechnology; Production (economics); Biology; Selective breeding; Welfare; Genetic gain; Animal breeding; Computer science; Ecology; Genetics; Genetic variation; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.07877959132883414,"gpt":0.3410208087337696,"spread":0.2622412174049354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003409305,0.0006077898,0.002710267,0.0006653838,0.00007822204,0.00003135766,0.0004723886,0.0005040086,0.00001363843],"category_scores_gemma":[0.00008648718,0.000640088,0.0002912484,0.0009274633,0.00008897748,0.0001029587,0.0003833122,0.0008900608,0.000006731554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005321138,"about_ca_system_score_gemma":0.0001865706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003128314,"about_ca_topic_score_gemma":0.0002002072,"domain_scores_codex":[0.9964372,0.0003381327,0.001474689,0.0008159691,0.0003267786,0.0006072161],"domain_scores_gemma":[0.9989647,0.00002106439,0.0004847407,0.0003708953,0.00005410542,0.0001044638],"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":[0.0005321535,0.0003935159,0.08791198,0.02038638,0.0001934111,0.0002720122,0.01301273,0.00004753848,0.00001698682,0.00004833176,0.01241294,0.864772],"study_design_scores_gemma":[0.001155506,0.0008669018,0.03211332,0.01783195,0.0006371466,0.00005839419,0.0114343,0.0005676681,0.000001234504,0.00002051222,0.9340556,0.00125749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00254356,0.9917984,0.001023427,0.00009004412,0.002444304,0.001719311,0.0001178369,0.00003924267,0.0002238807],"genre_scores_gemma":[0.02644664,0.9682251,0.004224062,0.00000730272,0.0006763514,0.0001507963,0.00007034911,0.0001325074,0.00006691157],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9216427,"threshold_uncertainty_score":0.9996051,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2759661759","doi":"10.3389/fgene.2017.00138","title":"Epigenetic Regulation of Cellular Senescence and Aging","year":2017,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Cancer Foundation","keywords":"Epigenetics; DNA methylation; Heterochromatin; Biology; Senescence; Histone; Cellular senescence; Epigenesis; Cellular Aging; Ageing; Computational biology; Neuroscience; Chromatin; Cell biology; Phenotype; Genetics; Bioinformatics; DNA; Telomere; Gene; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.03818917827312063,"gpt":0.3198758699941911,"spread":0.2816866917210705,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003546049,0.0003279444,0.000825173,0.0002017121,0.00007184769,0.00003414729,0.0003486846,0.0005039623,0.00000220896],"category_scores_gemma":[0.00008197061,0.0003391652,0.0001725927,0.00009641952,0.0001820829,0.000002712238,0.0001975924,0.0001482215,0.000001000718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002562847,"about_ca_system_score_gemma":0.0001635563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007262859,"about_ca_topic_score_gemma":0.000008936029,"domain_scores_codex":[0.9982626,0.0001594599,0.0006196942,0.0005337833,0.0001679233,0.000256534],"domain_scores_gemma":[0.9984477,0.00001417393,0.0005781976,0.0008134461,0.00007007197,0.00007646162],"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":[0.000004025842,0.00002047649,0.001596785,0.002767162,0.00005671643,0.000002001082,0.00002831513,0.00003985043,0.005095403,0.000005305087,0.00008793007,0.990296],"study_design_scores_gemma":[0.0002191313,0.0001051797,0.0005424142,0.001862904,0.000234212,0.000002683476,0.00001135435,0.0001660455,0.01355388,0.0002830711,0.9825723,0.0004468063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005074816,0.9652224,0.03305396,0.000004127107,0.000572858,0.0004388374,0.00002434978,0.000003697228,0.0001723239],"genre_scores_gemma":[0.002742143,0.9866379,0.009793337,0.000002971855,0.0002041793,0.00002027244,0.0002007448,0.00005792241,0.0003405239],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9898492,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981123106","doi":"10.3389/fgene.2019.00999","title":"An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"University of Calgary; Alberta Innovates; Genome Canada; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Annotation; Metagenomics; Perl; Computer science; Gene Annotation; Genome; Pipeline (software); Contig; Visualization; Computational biology; Gene prediction; JavaScript; Genome project; Sequence assembly; Data mining; Biology; Gene; World Wide Web; Artificial intelligence; Genetics; Programming language; Transcriptome","retraction":null,"screen_n_in":null,"score":{"opus":0.007233862100876299,"gpt":0.2519627553992547,"spread":0.2447288932983784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000135413,0.00009642733,0.0001643935,0.00006289952,0.00001734475,0.00000827941,0.00008059162,0.00008360935,0.000001588721],"category_scores_gemma":[0.00001861794,0.00009867291,0.00002886892,0.00006017862,0.00004233699,9.21514e-7,0.00002437931,0.00002020279,2.361226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000077736,"about_ca_system_score_gemma":0.00002966229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006078463,"about_ca_topic_score_gemma":0.0000158405,"domain_scores_codex":[0.9993886,0.000031366,0.0002074091,0.000216328,0.00004282754,0.0001135007],"domain_scores_gemma":[0.9996168,0.00000551437,0.00008283111,0.0001639282,0.0001036889,0.00002726437],"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":[0.0001126677,0.00003764602,0.1511549,0.0000343749,0.00003944738,6.470651e-8,0.0001732419,0.001039195,0.8344485,0.00005475621,0.0004102162,0.012495],"study_design_scores_gemma":[0.004537939,0.001932376,0.1609877,0.00003188032,0.0001263225,0.000002882806,0.001761756,0.0988705,0.6512523,0.001017521,0.07879558,0.0006832512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759986,0.002494567,0.1207721,0.00001002635,0.0002714522,0.0003523904,0.00006538325,0.000001390075,0.00003413497],"genre_scores_gemma":[0.973364,0.0009627547,0.02513571,0.00004758787,0.00004244059,0.00001481575,0.0002737119,0.00001747745,0.0001414926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1831962,"threshold_uncertainty_score":0.4023765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2943053742","doi":"10.3389/fgene.2019.00260","title":"Sex Difference of Radiation Response in Occupational and Accidental Exposure","year":2019,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Cancer Foundation; U.S. Department of Energy","keywords":"Radiosensitivity; Ionizing radiation; Medicine; Population; Radiation exposure; Radiological weapon; Radiation sensitivity; Environmental health; Demography; Physiology; Radiation therapy; Nuclear medicine; Internal medicine; Irradiation; Surgery","retraction":null,"screen_n_in":null,"score":{"opus":0.0325411615422178,"gpt":0.3328812863771042,"spread":0.3003401248348864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000252218,0.0001560686,0.0008155026,0.0005172687,0.000008780224,0.00001012287,0.00008126397,0.0001750947,0.000008950417],"category_scores_gemma":[0.0001276493,0.0001479996,0.00007203115,0.0002316044,0.00003660945,0.00003172037,0.00002988182,0.0002055807,0.000002420708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150862,"about_ca_system_score_gemma":0.0003652139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005131379,"about_ca_topic_score_gemma":0.000001444908,"domain_scores_codex":[0.9988191,0.0001647557,0.000488276,0.0002182096,0.0001864362,0.0001232173],"domain_scores_gemma":[0.9994386,0.00009682745,0.0002023946,0.0002044047,0.00001580775,0.00004201141],"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":[0.00008964111,0.0000237321,0.2381269,0.001460308,0.00002360622,0.000004595797,0.0001624492,0.00001024244,0.000002262251,9.33002e-7,0.0004245336,0.7596709],"study_design_scores_gemma":[0.001952043,0.0002928698,0.7016091,0.006246336,0.0003612906,0.00004028545,0.0001479062,0.001873304,0.00004188018,0.00003278506,0.2870518,0.0003504608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02441389,0.9743528,0.0002623971,0.00001443214,0.0003365912,0.0005400184,0.00002391364,0.000004207766,0.00005169509],"genre_scores_gemma":[0.007559184,0.9902778,0.0015862,0.00002986683,0.00005803255,0.00001678822,0.0001159251,0.00001970453,0.0003364868],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7593204,"threshold_uncertainty_score":0.6035247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122980896","doi":"10.3389/fgene.2021.620859","title":"MeCP2: The Genetic Driver of Rett Syndrome Epigenetics","year":2021,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; University of Victoria","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ontario Rett Syndrome Association","keywords":"MECP2; Rett syndrome; Epigenetics; Biology; Chromatin; Genetics; DNA methylation; Neuroscience; Alternative splicing; Computational biology; Bioinformatics; Gene isoform; Gene; Phenotype; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.01533603506625677,"gpt":0.2582350462493514,"spread":0.2428990111830946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002265607,0.0006659928,0.001440216,0.0002076411,0.00008508714,0.00003794373,0.001154414,0.0006710609,0.00002198907],"category_scores_gemma":[0.00007447728,0.0005598877,0.0006028655,0.0005692873,0.0003344383,0.000001539807,0.0006390256,0.0003944207,0.000007882512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005078369,"about_ca_system_score_gemma":0.0006220177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003993128,"about_ca_topic_score_gemma":0.00002521114,"domain_scores_codex":[0.9966037,0.000376557,0.001131042,0.0009034034,0.0004000323,0.0005852749],"domain_scores_gemma":[0.9979327,0.00002982662,0.0004628692,0.001338289,0.0001142659,0.0001220763],"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":[0.00001238463,0.000245844,0.003064484,0.003930705,0.0008192581,0.0001182375,0.0001218946,0.0004220111,0.0003468387,0.00001287045,0.02264384,0.9682617],"study_design_scores_gemma":[0.0002806095,0.0001947747,0.001956198,0.001147921,0.0004129457,0.0001220229,0.0000837777,0.00001683594,0.0003128951,0.00005634827,0.9947531,0.0006626075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003754066,0.9925825,0.001047391,0.00001851001,0.001393877,0.0008812507,0.00008901512,0.00000654467,0.0002268619],"genre_scores_gemma":[0.0007680056,0.9844525,0.01347422,0.0000892349,0.00005585821,0.00009775112,0.0003223825,0.0001510973,0.0005889644],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9721092,"threshold_uncertainty_score":0.9996853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2942407227","doi":"10.3389/fgene.2019.00364","title":"Small Non-coding RNAs: New Class of Biomarkers and Potential Therapeutic Targets in Neurodegenerative Disease","year":2019,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute for Health and Care Research; Saskatchewan Arts Board","keywords":"Disease; Computational biology; Long non-coding RNA; Biology; Coding (social sciences); Bioinformatics; Medicine; Genetics; RNA; Gene; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.02434998415552406,"gpt":0.2675249836273705,"spread":0.2431749994718465,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001428797,0.0004075966,0.000819395,0.0002883158,0.00002136501,0.00002409196,0.0003019788,0.0003752002,0.000004230685],"category_scores_gemma":[0.00003354274,0.0004111298,0.0002371167,0.0002108997,0.0001097034,0.000003626979,0.0001817256,0.0001663484,0.000001226247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006585217,"about_ca_system_score_gemma":0.0005661447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007049903,"about_ca_topic_score_gemma":0.00001170952,"domain_scores_codex":[0.9980882,0.0002128453,0.0005948358,0.0006500588,0.0001387314,0.0003152603],"domain_scores_gemma":[0.9989606,0.0000111205,0.0003285255,0.0005011202,0.00004057496,0.0001580685],"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":[0.0002263269,0.0001550211,0.002099689,0.009287134,0.0006033593,0.00003315943,0.00008795155,0.001118925,0.007435175,0.000009728698,0.004081856,0.9748617],"study_design_scores_gemma":[0.003395265,0.0004062204,0.005959954,0.006094244,0.002285534,0.00002003531,0.0001085306,0.006690698,0.005510917,0.0003017358,0.9669062,0.002320651],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00125032,0.9791169,0.01777883,0.00001182159,0.0007373161,0.0009811323,0.00008710758,0.000003622191,0.0000329876],"genre_scores_gemma":[0.002942397,0.9918507,0.004314348,0.00003074245,0.0001645805,0.00002707469,0.000453409,0.00007644453,0.0001402709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.972541,"threshold_uncertainty_score":0.9998341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102831907","doi":"10.3389/fgene.2014.00286","title":"Multifunctional roles of the mammalian CCR4–NOT complex in physiological phenomena","year":2014,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre; McGill University","funders":"Japan Society for the Promotion of Science; Okinawa Institute of Science and Technology Graduate University","keywords":"Protein subunit; Biology; Computational biology; CCR4; Evolutionary biology; Genetics; Gene; Receptor","retraction":null,"screen_n_in":null,"score":{"opus":0.04615690705396341,"gpt":0.2858908395909803,"spread":0.2397339325370169,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002827273,0.0003413884,0.0009163675,0.00009918358,0.00003852759,0.00001023039,0.0006453979,0.0004916841,0.00002306173],"category_scores_gemma":[0.00007259388,0.0002457539,0.000354931,0.0001859562,0.0002271443,0.000001011347,0.0003076066,0.0003163805,0.000004953406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004588377,"about_ca_system_score_gemma":0.0001485318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004424048,"about_ca_topic_score_gemma":0.00002636458,"domain_scores_codex":[0.9979954,0.0004077535,0.0006236443,0.0004730304,0.0001809445,0.000319236],"domain_scores_gemma":[0.9990219,0.00001736225,0.0003080466,0.0005625821,0.00003672054,0.00005340559],"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":[0.00006927386,0.0002536085,0.001717592,0.004377633,0.0001504049,0.000002779625,0.00006671331,0.0003329839,0.002365757,0.00008349081,0.01262967,0.9779501],"study_design_scores_gemma":[0.0003594418,0.000119143,0.0007635184,0.0006161275,0.00005184793,0.000004029468,0.00002423921,0.0001185635,0.0007325628,0.0001048132,0.9968051,0.000300671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002119929,0.9953138,0.000452272,0.00002242319,0.0006972667,0.0007531097,0.0001711384,0.000005162358,0.0004649262],"genre_scores_gemma":[0.004232075,0.9902256,0.00408275,0.0001429217,0.000473381,0.0001101806,0.0003641079,0.00004628176,0.0003226823],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9841754,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947902519","doi":"10.3389/fgene.2019.00462","title":"LncRRIsearch: A Web Server for lncRNA-RNA Interaction Prediction Integrated With Tissue-Specific Expression and Subcellular Localization Data","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; Waseda University; Ministry of Education, Culture, Sports, Science and Technology; Research Organization of Information and Systems","keywords":"Computational biology; Web server; RNA; Subcellular localization; Computer science; Function (biology); Long non-coding RNA; Identification (biology); Biology; Interaction network; Cell biology; The Internet; Genetics; Gene; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.02052738367802843,"gpt":0.2691058511698503,"spread":0.2485784674918218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279631,0.0001779404,0.0001650787,0.0001620636,0.00005998082,0.00005932428,0.0002903527,0.0003135285,0.00001977812],"category_scores_gemma":[0.00003375358,0.0001697347,0.00002321064,0.0002097981,0.00006155353,0.00001918924,0.0002200408,0.0002403014,0.00000328531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007728123,"about_ca_system_score_gemma":0.0001195263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009638511,"about_ca_topic_score_gemma":0.00003818813,"domain_scores_codex":[0.9984785,0.0001016861,0.0002296811,0.0006478711,0.0002556661,0.0002866389],"domain_scores_gemma":[0.9989551,0.000008582644,0.00007703388,0.0007264662,0.000141967,0.00009090353],"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":[0.0009858233,0.00005675389,0.002808152,0.00008710726,0.00004980516,0.000003539566,0.00006918729,0.004778638,0.9587277,0.000004925653,0.01826524,0.01416309],"study_design_scores_gemma":[0.001979882,0.0007487991,0.0001486328,0.0001170498,0.00002037003,0.000009542013,0.0003379724,0.1237764,0.6627386,0.00004418668,0.209859,0.0002196807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3392925,0.003532278,0.6552604,0.00004358096,0.0005859077,0.001058632,0.0001337187,0.00001635891,0.00007660097],"genre_scores_gemma":[0.9716526,0.004320348,0.01994452,0.00005440375,0.0001659229,0.00007592177,0.003139426,0.00008072283,0.0005660845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6353159,"threshold_uncertainty_score":0.6921579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2399670039","doi":"10.3389/fgene.2016.00070","title":"The Use of DREADDs to Deconstruct Behavior","year":2016,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Computer science; Neuroscience; Communication; Biology; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1969151482480906,"gpt":0.3998236010478499,"spread":0.2029084527997594,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002210949,0.0003127693,0.0008314471,0.0003619527,0.0001029557,0.00009603518,0.001304065,0.0002492987,0.00003295832],"category_scores_gemma":[0.0006451691,0.0001938022,0.0002615938,0.0005967602,0.0004414022,0.00003165175,0.0003781598,0.000306689,0.00005353871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540575,"about_ca_system_score_gemma":0.0003450729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003504798,"about_ca_topic_score_gemma":0.000007220127,"domain_scores_codex":[0.9973119,0.0003882951,0.0006823639,0.0005269876,0.0005144121,0.0005759773],"domain_scores_gemma":[0.998076,0.0005758413,0.0001932996,0.0009048505,0.00005836154,0.0001916897],"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":[0.000006415542,0.00002347098,0.0003355035,0.0002768809,0.000008522321,0.000007476297,0.00001912737,0.000001661152,0.0001476476,0.00002019298,0.007936172,0.991217],"study_design_scores_gemma":[0.00008659456,0.00006117369,0.00002116167,0.001007587,0.00005165585,0.000008867253,0.000004176627,0.00001159889,0.003458963,0.0000408057,0.9950165,0.0002309373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003267959,0.9948326,0.0005547961,0.000008788547,0.00227037,0.001458248,0.0003314932,0.00001178523,0.0002050872],"genre_scores_gemma":[0.00001561289,0.9930906,0.005520431,0.00002280404,0.00007649834,0.0002253576,0.000003254092,0.00006185186,0.0009836315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.990986,"threshold_uncertainty_score":0.7903024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790370540","doi":"10.3389/fgene.2018.00083","title":"Adjusting for Batch Effects in DNA Methylation Microarray Data, a Lesson Learned","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; BC Children's Hospital","keywords":"Computer science; DNA methylation; Confounding; Sample (material); Sample size determination; Process (computing); Computational biology; Data mining; Biology; Statistics; Genetics; Mathematics; Gene; Chemistry; Chromatography","retraction":null,"screen_n_in":null,"score":{"opus":0.03346328224768329,"gpt":0.3161218921411407,"spread":0.2826586098934574,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003388308,0.0001204399,0.000137071,0.0001075633,0.00004910878,0.00001917225,0.0003101168,0.0001806095,0.000002850892],"category_scores_gemma":[0.0001718591,0.0001293785,0.00002838218,0.0001691176,0.00005871473,0.000005039617,0.0001053465,0.00007114871,0.000002030808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413024,"about_ca_system_score_gemma":0.00007450028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008317656,"about_ca_topic_score_gemma":0.00009995141,"domain_scores_codex":[0.998889,0.00008663273,0.0002245192,0.0004747113,0.00008886783,0.000236277],"domain_scores_gemma":[0.9992539,0.00001372636,0.00009062991,0.0005365064,0.00006206067,0.00004311984],"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":[0.0001334193,0.00004191955,0.01657283,0.00004986525,0.00001261711,3.774995e-7,0.0001967527,0.0001290893,0.8659991,0.000007486804,0.02555816,0.09129839],"study_design_scores_gemma":[0.001666126,0.0002681283,0.01872949,0.00005732806,0.00002027157,9.254145e-7,0.0003481546,0.01250316,0.821749,0.0004689499,0.1439117,0.0002767167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6660491,0.003699261,0.3276117,0.0002589379,0.001392079,0.0006161251,0.00002251622,0.00001125697,0.0003389528],"genre_scores_gemma":[0.9243826,0.0003869673,0.07366918,0.0001673518,0.0004440322,0.00007161289,0.0003727698,0.0000296486,0.0004758085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583335,"threshold_uncertainty_score":0.52759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2944658903","doi":"10.3389/fgene.2019.00452","title":"Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Diamantina Institute, University of Queensland; Université Laval; L'Oreal USA","keywords":"Feature selection; Biomarker discovery; Computer science; Machine learning; Profiling (computer programming); Artificial intelligence; Context (archaeology); Data mining; Software; Biomarker; Categorical variable; Feature (linguistics); Omics; Bioinformatics; Proteomics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01053283672566128,"gpt":0.2558195365858338,"spread":0.2452866998601726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156103,0.0001329925,0.0001552481,0.0001115,0.00003106974,0.00002783957,0.0002863762,0.000221306,0.000007358987],"category_scores_gemma":[0.00002569504,0.0001331359,0.00003697628,0.0001779877,0.00002233115,0.0000115062,0.0001437279,0.00008933111,0.00000277293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004798487,"about_ca_system_score_gemma":0.0001148691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005837086,"about_ca_topic_score_gemma":0.00009539908,"domain_scores_codex":[0.9989014,0.00004990163,0.0002002637,0.0004847902,0.0001201575,0.0002435056],"domain_scores_gemma":[0.9992938,0.000005560133,0.0000800358,0.0005462334,0.00003594849,0.00003840563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003381661,0.0002469981,0.2837464,0.000103829,0.00005233095,5.201023e-7,0.00009321851,0.00291633,0.4735153,0.0000237487,0.2277151,0.0112481],"study_design_scores_gemma":[0.005131012,0.0002770654,0.2524693,0.00008988573,0.00004103152,0.000006478415,0.0006086385,0.508453,0.0877311,0.0006019911,0.1438954,0.0006951345],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470765,0.001382475,0.0492996,0.0002365563,0.001287984,0.0004998473,0.0001569897,0.00000905846,0.00005096826],"genre_scores_gemma":[0.9379676,0.000290723,0.05664758,0.0002725115,0.0001378712,0.00005679252,0.00216939,0.00003608827,0.00242143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055366,"threshold_uncertainty_score":0.5429124,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1821330255","doi":"10.3389/fgene.2015.00302","title":"Epigenetic marks: regulators of livestock phenotypes and conceivable sources of missing variation in livestock improvement programs","year":2015,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":126,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ste. Anne's Hospital; McGill University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Epigenetics; Epigenome; Biology; Livestock; DNA methylation; Genetics; Evolutionary biology; Histone; Phenotype; Chromatin; Computational biology; Gene; Gene expression; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02134639361846644,"gpt":0.2795056462161434,"spread":0.2581592525976769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005853354,0.000361488,0.00111755,0.0002704751,0.00002349809,0.00002121438,0.0002601454,0.0005338921,0.000001789291],"category_scores_gemma":[0.00008744637,0.0003612756,0.000134512,0.0002879909,0.0001891271,0.000004327454,0.0001623355,0.0001557252,2.230332e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006577803,"about_ca_system_score_gemma":0.0003760966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000518606,"about_ca_topic_score_gemma":0.00002293742,"domain_scores_codex":[0.9976674,0.0002293009,0.001029129,0.000529945,0.0002437436,0.0003004513],"domain_scores_gemma":[0.9985193,0.00002253817,0.0007585657,0.0004616252,0.0001385492,0.00009939698],"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":[0.00002692158,0.0001311995,0.005802896,0.003773969,0.0001052437,0.000001363152,0.0003154655,0.0002822111,0.001606321,0.000007109364,0.00003741658,0.9879099],"study_design_scores_gemma":[0.004390026,0.007462104,0.01295186,0.01718864,0.001984031,0.00001524285,0.0009380166,0.002478019,0.02786148,0.007315336,0.9139764,0.003438899],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06014792,0.9357054,0.002699421,0.000003331249,0.000270749,0.001058945,0.00002169212,0.000003536569,0.00008902248],"genre_scores_gemma":[0.007098399,0.9617587,0.03071336,0.000003089735,0.00009356579,0.00006000941,0.0001338071,0.00005916968,0.00007992901],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.984471,"threshold_uncertainty_score":0.9998839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2902751959","doi":"10.3389/fgene.2018.00595","title":"The Multiples Fates of the Flavivirus RNA Genome During Pathogenesis","year":2018,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Institut national de la recherche scientifique; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; Armand-Frappier Foundation; McGill University","keywords":"Flavivirus; RNA; Virology; Biology; Dengue fever; Viral replication; Viral life cycle; Viral evolution; Interferon; Gene; Computational biology; Genetics; Virus","retraction":null,"screen_n_in":null,"score":{"opus":0.01837675331689236,"gpt":0.2781747484751493,"spread":0.2597979951582569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225951,0.0003602013,0.001185899,0.0001026208,0.0001612827,0.00002772198,0.0006623441,0.0002412051,0.0000146233],"category_scores_gemma":[0.0001464902,0.0001926958,0.0007535501,0.0002968661,0.0002699771,0.00001044952,0.0002074293,0.0002438425,0.000009892367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600663,"about_ca_system_score_gemma":0.0002916454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001010856,"about_ca_topic_score_gemma":0.00001642486,"domain_scores_codex":[0.9979618,0.0001910156,0.0007400374,0.000374724,0.0003331481,0.0003992867],"domain_scores_gemma":[0.9981554,0.00007959347,0.000419388,0.001151129,0.00009163551,0.0001028684],"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":[0.00007604616,0.00009936564,0.004021736,0.009080518,0.000645908,0.0000208165,0.000117786,0.000008401231,0.00009446595,0.000009446496,0.001591784,0.9842337],"study_design_scores_gemma":[0.0005857199,0.00005150965,0.00640198,0.003373626,0.002021898,0.0000101051,0.0001826279,0.0001019219,0.00006455236,0.00003025592,0.9869208,0.0002549575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00214899,0.9949405,0.00006253284,0.00003054095,0.001194849,0.001299583,0.0001435122,0.00001331498,0.0001662412],"genre_scores_gemma":[0.0006633041,0.9970011,0.0007379612,0.00003019644,0.0005107861,0.0001295059,0.00002166399,0.00007394805,0.0008315157],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9853291,"threshold_uncertainty_score":0.7857908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170938141","doi":"10.3389/fgene.2012.00260","title":"Control of porcine reproductive and respiratory syndrome (PRRS) through genetic improvements in disease resistance and tolerance","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Food and Agriculture; Government of Canada; Genome Canada; U.S. Department of Agriculture","keywords":"Biology; Disease; Genomics; Genetics; Plant disease resistance; Resistance (ecology); Disease control; Genome; Medicine; Biotechnology; Gene; Internal medicine; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01389942907097964,"gpt":0.2183598654198697,"spread":0.2044604363488901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001573054,0.0001045546,0.0002035737,0.00001771589,0.00005848326,0.000006267646,0.0000635488,0.00004054265,0.000004220471],"category_scores_gemma":[0.00006167831,0.00005502115,0.0000170104,0.0001863147,0.0001784821,0.00007707874,0.0000558719,0.00006810671,3.666567e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002814758,"about_ca_system_score_gemma":0.000004585709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005435003,"about_ca_topic_score_gemma":0.0001277338,"domain_scores_codex":[0.999155,0.00005950428,0.0002242347,0.0002511169,0.00009544356,0.0002147032],"domain_scores_gemma":[0.999737,0.00002784698,0.00008143231,0.00006971061,0.00003037715,0.00005368196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008836154,0.00006626658,0.9907074,0.00002028641,0.00001000454,0.000003114399,0.0001997254,0.00001021664,0.005376303,0.00002772459,0.0001722842,0.003318305],"study_design_scores_gemma":[0.0003110458,0.00011443,0.9951741,0.00002817177,0.00001318963,8.364987e-7,0.0002178303,0.0000201332,0.0003147752,0.0007223476,0.00297726,0.000105904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958104,0.04114557,0.0000760883,0.0001343181,0.0001592156,0.0002824588,0.00003169854,0.000006729714,0.00005998683],"genre_scores_gemma":[0.9973068,0.0006797358,0.001755448,0.0001145083,0.00006529757,0.00002707065,9.894205e-7,0.000001291975,0.00004883932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04046584,"threshold_uncertainty_score":0.2243697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996973085","doi":"10.3389/fgene.2013.00290","title":"Genetic interaction networks: better understand to better predict","year":2013,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Multicellular organism; Biology; In silico; Gene; Computational biology; Robustness (evolution); Genome; Function (biology); Caenorhabditis elegans; Genetics; Model organism; Phenotype; Epistasis; Biological network; Systems biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01679216468991866,"gpt":0.2603267439324231,"spread":0.2435345792425044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001795388,0.0006321846,0.001009381,0.0002661869,0.00006768437,0.0001295218,0.0006227694,0.0009285827,0.00003379238],"category_scores_gemma":[0.00001467046,0.0005902014,0.0003444765,0.0002626511,0.00008608022,0.00000587782,0.0003653393,0.0005121641,0.00006015638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580949,"about_ca_system_score_gemma":0.0001266604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005654394,"about_ca_topic_score_gemma":0.00001856791,"domain_scores_codex":[0.9973592,0.0001309272,0.0009761801,0.0006625843,0.0001949814,0.0006761396],"domain_scores_gemma":[0.9985065,0.00001649565,0.0003210252,0.0008692644,0.00005535447,0.0002313266],"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":[0.000009439274,0.00002262791,0.0001993723,0.0007020535,0.0001948373,0.000003875675,0.00003249927,0.001252153,0.000002124179,0.000001033656,0.1820749,0.8155051],"study_design_scores_gemma":[0.0002361572,0.0001784766,0.00003362674,0.001046869,0.0002201952,0.00002390882,0.000055282,0.002619438,0.000004192969,0.000104598,0.994818,0.0006593114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001836886,0.8354663,0.1600724,0.00003701353,0.002581793,0.001229004,0.00003824157,0.00001306353,0.0003784788],"genre_scores_gemma":[0.00006278183,0.9555888,0.04092233,0.0007514043,0.001562694,0.0001649382,0.0003861656,0.0001277466,0.0004331689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8148457,"threshold_uncertainty_score":0.9996549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2923370700","doi":"10.3389/fgene.2019.00256","title":"A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Survivability; Breast cancer; Radiation therapy; Medicine; Oncology; Classifier (UML); Cancer; Internal medicine; Machine learning; Bioinformatics; Computational biology; Computer science; Biology; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01590750525600524,"gpt":0.245132257863413,"spread":0.2292247526074078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726794,0.0001422489,0.0001842314,0.00004798776,0.00005968981,0.00001843228,0.0001845962,0.000112616,0.000004162523],"category_scores_gemma":[0.000003461205,0.0001077169,0.0001125619,0.00008920264,0.0000506885,0.000002191512,0.0000447665,0.0000367851,3.764549e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004318343,"about_ca_system_score_gemma":0.00004242184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002630828,"about_ca_topic_score_gemma":0.000009460385,"domain_scores_codex":[0.9991839,0.00002965312,0.0002659188,0.0002026056,0.00007855675,0.00023937],"domain_scores_gemma":[0.9995252,0.000007360818,0.0001346386,0.0002580479,0.0000411254,0.00003365499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007967642,0.0003703749,0.4248278,0.0003248926,0.001436336,9.02279e-7,0.001897429,0.1530656,0.2076471,0.00006174378,0.004735656,0.2048353],"study_design_scores_gemma":[0.004865184,0.001027726,0.01060139,0.00005767096,0.00021058,0.00002428488,0.001633363,0.8152097,0.07486816,0.0002509998,0.09051949,0.0007314514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6881665,0.0416934,0.2664822,0.0001155466,0.001278815,0.001441341,0.000160516,0.000009696905,0.0006519381],"genre_scores_gemma":[0.9135798,0.01036108,0.07465501,0.00006776115,0.000220998,0.0001004369,0.0002415106,0.00003931457,0.0007340698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6621441,"threshold_uncertainty_score":0.4392567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041018134","doi":"10.3389/fgene.2020.00606","title":"Methodologies for Transcript Profiling Using Long-Read Technologies","year":2020,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":120,"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":"Canada Foundation for Innovation; Compute Canada; Genome Canada","keywords":"Computational biology; Nanopore sequencing; Transcriptome; RNA-Seq; Biology; DNA sequencing; De novo transcriptome assembly; RNA; Genomics; Deep sequencing; Profiling (computer programming); Gene; Genome; Computer science; Genetics; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.1491405313929264,"gpt":0.3972978139506833,"spread":0.2481572825577569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002210721,0.0003724102,0.0009435387,0.0001527494,0.00006672851,0.00003457417,0.0005784578,0.0007162642,0.000001192752],"category_scores_gemma":[0.0001755393,0.0003434393,0.0003709581,0.0002565429,0.0001464847,0.000002257136,0.0001050726,0.0002286762,7.30886e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007760777,"about_ca_system_score_gemma":0.0003337908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000183606,"about_ca_topic_score_gemma":0.000003428124,"domain_scores_codex":[0.9982974,0.0001161935,0.000501485,0.000647705,0.00009269927,0.0003445248],"domain_scores_gemma":[0.9991287,0.00002119665,0.0002219506,0.0005313556,0.00006045313,0.00003632511],"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":[0.00001472012,0.00001338893,0.00004607252,0.002590568,0.0001469451,0.000002280289,0.00001249604,0.00009498056,0.0005316054,0.00001655857,0.001250674,0.9952797],"study_design_scores_gemma":[0.0001733585,0.0001022772,0.00000104537,0.0005260126,0.0003476129,0.000008456575,0.0001885474,0.0002620922,0.002836488,0.0002478136,0.9949049,0.0004013826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001383746,0.6598632,0.3385434,0.00002290383,0.0005549294,0.0008343456,0.0001104697,0.00002948499,0.00002744422],"genre_scores_gemma":[0.000005570516,0.6742014,0.325052,0.00001293022,0.0001253028,0.0002718352,0.000192835,0.00005361815,0.00008451809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9948784,"threshold_uncertainty_score":0.9999018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913030342","doi":"10.3389/fgene.2019.00013","title":"deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"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; China Scholarship Council","keywords":"Computer science; Convolutional neural network; Deep learning; Artificial intelligence; Classifier (UML); Artificial neural network; Mutation; Machine learning; Gene; Computational biology; Genetics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.008630931940213957,"gpt":0.2291721307479415,"spread":0.2205411988077275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008312881,0.0002005614,0.0001962711,0.00008535347,0.000111372,0.00002085617,0.0001805159,0.0001446082,0.00002001144],"category_scores_gemma":[0.00001317475,0.0002147569,0.00008645315,0.0001056248,0.00009546267,0.000001310018,0.00008326863,0.0001052005,0.000001977506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006232609,"about_ca_system_score_gemma":0.00008094557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002047594,"about_ca_topic_score_gemma":0.00004926835,"domain_scores_codex":[0.9988198,0.00006187602,0.0002534666,0.0003745539,0.0001509796,0.0003393536],"domain_scores_gemma":[0.9994715,0.0000191453,0.0001044515,0.0002715089,0.00006809842,0.00006531586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001964888,0.00002076815,0.4649093,0.000008894727,0.00003746515,8.415892e-7,0.00003448831,0.5244491,0.008983794,0.00000256009,0.00007443075,0.001458841],"study_design_scores_gemma":[0.0006973481,0.0001163492,0.1053371,0.00001729118,0.00003952994,0.000001906302,0.0001361043,0.8906971,0.001991465,0.00005234151,0.0006840738,0.0002294798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519671,0.006621327,0.03941115,0.00003660645,0.001471486,0.0003291055,0.00003083842,0.000005148368,0.0001272736],"genre_scores_gemma":[0.9797812,0.0004415977,0.01909019,0.0002496154,0.0002627885,0.00002936734,0.000054319,0.00003299378,0.00005795278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366248,"threshold_uncertainty_score":0.8757533,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911861738","doi":"10.3389/fgene.2019.00006","title":"Ciphers and Executioners: How 3′-Untranslated Regions Determine the Fate of Messenger RNAs","year":2019,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Untranslated region; Translation (biology); Biology; Three prime untranslated region; microRNA; Computational biology; Messenger RNA; RNA-binding protein; Effector; Translational regulation; Translational efficiency; Genetics; Cell biology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03753851181715443,"gpt":0.3056107516867517,"spread":0.2680722398695973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163919,0.0002710673,0.0006744186,0.0001182444,0.00004785238,0.00003107262,0.0003819051,0.0003759161,0.00000231755],"category_scores_gemma":[0.00005094004,0.0001939549,0.0002000802,0.000200991,0.0002434722,0.00000256289,0.0001162983,0.0002640458,9.981381e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739728,"about_ca_system_score_gemma":0.0001846648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008055355,"about_ca_topic_score_gemma":0.00001573585,"domain_scores_codex":[0.9986283,0.0001849734,0.0003139605,0.0003740683,0.0001666136,0.0003320631],"domain_scores_gemma":[0.9990819,0.00002435541,0.0001804324,0.0005784587,0.00005654461,0.00007835407],"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":[0.00005036764,0.00004790968,0.0003365811,0.005768753,0.0006316973,0.0000218832,0.0001134703,0.00004366805,0.00519001,0.00001897933,0.02320487,0.9645718],"study_design_scores_gemma":[0.0003341533,0.0001167823,0.00003288614,0.001006344,0.0002391528,0.00001934871,0.0001255926,0.0002071717,0.0005346762,0.00001638334,0.9970986,0.0002688768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001974504,0.9954983,0.001365655,0.00008277815,0.0002635831,0.0006499146,0.00004096613,0.000003634365,0.0001206539],"genre_scores_gemma":[0.0007297157,0.9954616,0.001697724,0.00002108662,0.00008081668,0.0000325243,0.0001157078,0.0000443198,0.001816464],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9738938,"threshold_uncertainty_score":0.7909253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890441230","doi":"10.3389/fgene.2018.00362","title":"Role of Microbes in the Development of Alzheimer’s Disease: State of the Art – An International Symposium Presented at the 2017 IAGG Congress in San Francisco","year":2018,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Gerontology; Disease; State (computer science); Environmental ethics; Neuroscience; Library science; Biology; History; Political science; Medicine; Computer science; Philosophy; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.03747696779476613,"gpt":0.3440790111624384,"spread":0.3066020433676723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004750816,0.0002840312,0.0008375212,0.0002101122,0.00004363174,0.00001133934,0.0008618433,0.00009919098,0.00002363771],"category_scores_gemma":[0.00005097739,0.0001473266,0.0001997786,0.0003156444,0.0005405042,0.00003718899,0.0002981798,0.0002542546,0.000004162453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426154,"about_ca_system_score_gemma":0.000841654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002854273,"about_ca_topic_score_gemma":0.0003361003,"domain_scores_codex":[0.9972665,0.000453736,0.0009212989,0.0003175529,0.0007343303,0.0003066348],"domain_scores_gemma":[0.9983368,0.0000762219,0.000481739,0.0008505085,0.0001476998,0.0001070447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001527055,0.005061512,0.5271731,0.007411955,0.02032934,0.000113893,0.005762724,0.0001347905,0.0000643134,0.000008250202,0.02604532,0.4063677],"study_design_scores_gemma":[0.004404312,0.0004020175,0.2585343,0.02071686,0.004579904,0.00001928379,0.0008716476,0.0006164541,0.001997163,0.0002064842,0.7070119,0.0006395795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02128402,0.9754693,0.00000692634,0.00007279203,0.0003525708,0.002124692,0.0004654924,0.000002500021,0.000221733],"genre_scores_gemma":[0.01319173,0.9850782,0.0008479574,0.0000187988,0.0000508898,0.0002125781,0.0004633863,0.00004052615,0.000095936],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6809666,"threshold_uncertainty_score":0.6007802,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045222827","doi":"10.3389/fgene.2020.00743","title":"Cross-Species Insights Into Genomic Adaptations to Hypoxia","year":2020,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute","keywords":"Biology; Hypoxia (environmental); Evolutionary biology; Adaptation (eye); Phenotype; Ecological niche; Gene; Model organism; Computational biology; Ecology; Genetics; Habitat; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.02627625611897279,"gpt":0.2954118304762498,"spread":0.269135574357277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007435833,0.0004866375,0.001000059,0.0002461958,0.0001089917,0.00009425501,0.0007489101,0.0005404417,0.00001916838],"category_scores_gemma":[0.0000742351,0.0004861086,0.0003257156,0.0003791292,0.0001180196,0.000003033636,0.0003830459,0.0002924614,0.0001331176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117712,"about_ca_system_score_gemma":0.0004970053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007186806,"about_ca_topic_score_gemma":0.0001020164,"domain_scores_codex":[0.9978787,0.0001080357,0.0006529397,0.0007932608,0.0001852814,0.0003817261],"domain_scores_gemma":[0.998842,0.00001111448,0.0001634266,0.0006548177,0.00007256451,0.000256099],"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":[0.00003328257,0.00008951515,0.0005783633,0.001977319,0.0004588194,0.00005849792,0.0006221784,0.0002736913,0.003053455,0.00009032853,0.04159186,0.9511727],"study_design_scores_gemma":[0.0001748105,0.0001504149,0.0003470239,0.00028795,0.0001373761,0.000004927138,0.00003440588,0.00000939661,0.0001979123,0.0000585091,0.9980602,0.0005370589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000892649,0.9902624,0.006137921,0.00003090383,0.001153677,0.0007287603,0.00006637222,0.00001748399,0.0007097925],"genre_scores_gemma":[0.0001681914,0.9702257,0.02626215,0.0002157911,0.0007485388,0.0001354681,0.0005120126,0.0001033783,0.001628801],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9564683,"threshold_uncertainty_score":0.9997591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990267923","doi":"10.3389/fgene.2015.00094","title":"DDR-mediated crosstalk between DNA-damaged cells and their microenvironment","year":2015,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"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 de l’Université de Montréal","funders":"Institut Du Cancer de Montréal; Institute of Cancer Research; Terry Fox Research Institute","keywords":"Crosstalk; Cell biology; DNA damage; DNA; Tumor microenvironment; Biology; Computational biology; Chemistry; Genetics; Physics; Immune system; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.01824745508856616,"gpt":0.2540680040132928,"spread":0.2358205489247266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004175158,0.0006377508,0.001269481,0.0001521201,0.00005196119,0.00004980401,0.0005089459,0.0008591361,0.000005940769],"category_scores_gemma":[0.00003111146,0.0005699665,0.000237217,0.0001392728,0.000218762,0.00000237035,0.000521764,0.0003324751,0.00001761651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126916,"about_ca_system_score_gemma":0.0002155057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002361508,"about_ca_topic_score_gemma":0.000003875386,"domain_scores_codex":[0.9975941,0.0002738466,0.0006063834,0.000825518,0.0001826164,0.0005175041],"domain_scores_gemma":[0.9986,0.00001883488,0.0002803178,0.0008248047,0.00003094482,0.0002450841],"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":[0.00001831248,0.0001032049,0.0005787962,0.00264412,0.0005303187,0.00002537481,0.0001505399,0.000008115343,0.01068943,7.068521e-7,0.02695798,0.9582931],"study_design_scores_gemma":[0.0003472353,0.0001895157,0.00001675947,0.0004074714,0.000193505,0.000009135326,0.00006952219,0.000008835797,0.01112919,0.00005016848,0.9870085,0.0005702214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004929563,0.9914293,0.001283585,0.000005569573,0.0007139712,0.0008948604,0.0006141,0.00001745862,0.0001116075],"genre_scores_gemma":[0.0001501367,0.9892217,0.007975988,0.00003930579,0.0002836053,0.00006598108,0.001287648,0.0001398553,0.0008357979],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9600505,"threshold_uncertainty_score":0.9996752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086675645","doi":"10.3389/fgene.2012.00007","title":"Induction of Phase 2 Antioxidant Enzymes by Broccoli Sulforaphane: Perspectives in Maintaining the Antioxidant Activity of Vitamins A, C, and E","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Monsanto (Canada)","funders":"","keywords":"Sulforaphane; Glucoraphanin; Antioxidant; Cruciferous vegetables; Enzyme; Myrosinase; Biochemistry; Glucosinolate; Chemistry; Metabolic pathway; Biology; Brassica; Botany","retraction":null,"screen_n_in":null,"score":{"opus":0.01124709017319969,"gpt":0.2643788437056211,"spread":0.2531317535324215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002721921,0.0001509058,0.0002455093,0.00009536358,0.00003172285,0.000006436677,0.0001460208,0.0001324735,0.000002002238],"category_scores_gemma":[0.00006457962,0.0001357651,0.00005261569,0.0001424354,0.0003627604,0.00001059479,0.00009255807,0.0001237276,8.439525e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002657293,"about_ca_system_score_gemma":0.00003595682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003384429,"about_ca_topic_score_gemma":0.00001864117,"domain_scores_codex":[0.9990254,0.0001041843,0.0002595905,0.000237075,0.0001025684,0.0002711681],"domain_scores_gemma":[0.9994675,0.00001563716,0.0001793281,0.0002323794,0.00005479727,0.00005038757],"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":[0.0001387641,0.0003466326,0.1078991,0.00002695113,0.00004080866,2.818679e-7,0.00120085,0.00002295858,0.8859555,0.0000360882,0.0004502881,0.003881766],"study_design_scores_gemma":[0.0010367,0.0001923425,0.1011378,0.00002235222,0.00001734451,0.000002712534,0.005307858,0.00009314233,0.8914414,0.0001013793,0.0005005072,0.0001463924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801338,0.01512995,0.004132758,0.00003697287,0.0002008982,0.00023197,0.00006761471,0.000002147144,0.00006387445],"genre_scores_gemma":[0.9940875,0.003365173,0.002389309,0.00001311452,0.00008503095,0.0000110653,0.0000121621,0.00001534834,0.00002130176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01395368,"threshold_uncertainty_score":0.553634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2895869463","doi":"10.3389/fgene.2018.00440","title":"Sequence Determinants for Nuclear Retention and Cytoplasmic Export of mRNAs and lncRNAs","year":2018,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Nuclear export signal; RNA splicing; Biology; Spliceosome; RNA; Long non-coding RNA; Intron; Cytoplasm; Cell biology; Cell nucleus; Computational biology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.04507087167790842,"gpt":0.3294506433186332,"spread":0.2843797716407248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050668,0.0001938038,0.0005636619,0.0001082425,0.00005336868,0.0000200026,0.0001782505,0.0003172756,8.921003e-7],"category_scores_gemma":[0.00006015095,0.0001813085,0.0001018668,0.00006109462,0.0002075683,0.000002697925,0.0001436669,0.0000929684,3.230007e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001439388,"about_ca_system_score_gemma":0.00007474882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002489321,"about_ca_topic_score_gemma":0.000004092441,"domain_scores_codex":[0.9988621,0.00005330464,0.0003581253,0.000390593,0.00008988009,0.0002459887],"domain_scores_gemma":[0.9994084,0.000009245509,0.0001884103,0.0002732832,0.00004082796,0.0000798662],"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":[0.00005448249,0.00001753003,0.001542431,0.006438442,0.00008565323,0.000009084562,0.00002810615,3.13811e-7,0.004068546,0.000005799522,0.002244692,0.9855049],"study_design_scores_gemma":[0.0005173546,0.000753558,0.0001760375,0.002485713,0.0001760932,0.00008608378,0.00007872855,0.0005303727,0.001618659,0.0001097814,0.9930632,0.0004043997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09603521,0.9027339,0.000456821,0.000002224366,0.0001802407,0.000508365,0.00005511511,0.000002445131,0.00002567673],"genre_scores_gemma":[0.0008094965,0.9868599,0.01170725,0.000008024192,0.00009351622,0.00002317293,0.00006922383,0.00004174201,0.0003876512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9908185,"threshold_uncertainty_score":0.7393547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097596314","doi":"10.3389/fgene.2012.00152","title":"Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta; University of Guelph","funders":"Beef Cattle Research Council; Agriculture and Agri-Food Canada; Mitacs; University of Guelph","keywords":"Crossbreed; Linkage disequilibrium; Beef cattle; Biology; Linkage (software); Disequilibrium; Genetics; Animal science; Haplotype; Genotype; Gene; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.007631714095522533,"gpt":0.2292901594849685,"spread":0.2216584453894459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001709136,0.0001829228,0.0001860449,0.0000767036,0.00003516482,0.00001906633,0.0001877316,0.0002223479,0.000009713819],"category_scores_gemma":[0.00003326555,0.0001963578,0.00003691909,0.0001121881,0.0001600961,0.000005522183,0.0001425435,0.0001361462,0.000003764454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001830807,"about_ca_system_score_gemma":0.00005332338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001365211,"about_ca_topic_score_gemma":0.00002954515,"domain_scores_codex":[0.9988165,0.0000607178,0.0002430372,0.000304317,0.0001016193,0.0004738083],"domain_scores_gemma":[0.9994612,0.000007365577,0.00004910194,0.0003169546,0.00001829311,0.0001470689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005466924,0.0001270774,0.9788276,0.0000334924,0.00001912706,7.070734e-7,0.0006168369,0.0001999715,0.009714125,0.0001662756,0.004708366,0.005531727],"study_design_scores_gemma":[0.0007826313,0.0001353952,0.9709498,0.00001458871,0.00001231055,0.000007145893,0.0001513581,0.00005992985,0.007832491,0.0007475167,0.01902356,0.000283281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964662,0.02968496,0.003557179,0.00007469387,0.0009245321,0.0002282481,0.00002919911,0.000008033117,0.0008311141],"genre_scores_gemma":[0.9501596,0.0005897199,0.04811093,0.0001507697,0.0003614292,0.00002246056,0.00005982261,0.00003061474,0.0005146479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04455375,"threshold_uncertainty_score":0.8007239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094592218","doi":"10.3389/fgene.2012.00311","title":"MicroRNA dysregulation in multiple sclerosis","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; McGill University Health Centre; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Killam Trusts; Multiple Sclerosis Society of Canada","keywords":"Multiple sclerosis; microRNA; Experimental autoimmune encephalomyelitis; Immune system; Central nervous system; Inflammation; Biology; Disease; Immunology; Neuroscience; Medicine; Gene; Pathology; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01387747813454302,"gpt":0.2051545398434704,"spread":0.1912770617089274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000892458,0.000133272,0.0001227084,0.0001279577,0.000026022,0.00002530246,0.0001575221,0.0001725211,0.00002367236],"category_scores_gemma":[0.00004366273,0.0001537303,0.00004620798,0.0001672535,0.00006154942,0.000006021516,0.00006780909,0.00006388247,0.00001787909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006059921,"about_ca_system_score_gemma":0.00003742252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004262925,"about_ca_topic_score_gemma":0.0000790737,"domain_scores_codex":[0.9990313,0.00005787013,0.0002606408,0.0003013766,0.00009775115,0.0002510444],"domain_scores_gemma":[0.9995106,0.000004590883,0.00006462366,0.0003106316,0.0000487152,0.00006079044],"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":[0.00002093419,0.00005278312,0.3649455,0.00001151797,0.000009846877,5.458889e-7,0.00004074089,0.002303786,0.6131326,0.000002020455,0.00998396,0.009495792],"study_design_scores_gemma":[0.0008947694,0.00003697052,0.8146505,0.00002572028,0.000005578661,0.000001115347,0.00007276779,0.008532546,0.1716327,0.0003074482,0.003623538,0.0002163612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894722,0.002455194,0.00710132,0.00008676632,0.0003123692,0.0004132194,0.000007559364,0.000008176215,0.0001432258],"genre_scores_gemma":[0.9735242,0.0002216397,0.02574935,0.00008852551,0.00009242453,0.00005360273,0.0001198243,0.00002551749,0.0001249483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4497051,"threshold_uncertainty_score":0.6268942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1555378511","doi":"10.3389/fgene.2015.00230","title":"DNA methylation and single nucleotide variants in the brain-derived neurotrophic factor (BDNF) and oxytocin receptor (OXTR) genes are associated with anxiety/depression in older women","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke; Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Réseau québécois de recherche sur le vieillissement","keywords":"Oxytocin receptor; Oxytocin; Single-nucleotide polymorphism; Gene; DNA methylation; Anxiety; Genetics; Brain-derived neurotrophic factor; Psychology; Neurotrophic factors; Depression (economics); Epigenetics; Tropomyosin receptor kinase B; Biology; Receptor; Neuroscience; Psychiatry; Gene expression; Genotype","retraction":null,"screen_n_in":null,"score":{"opus":0.01599158364524656,"gpt":0.2296823473580001,"spread":0.2136907637127535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004738487,0.0002025528,0.0002308726,0.0001277522,0.00004602809,0.00005419798,0.000137387,0.0002255909,0.000001956358],"category_scores_gemma":[0.0002220259,0.0001674884,0.00001816081,0.0002340826,0.00008853886,0.00001160168,0.0000814313,0.0001528495,2.637109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006777827,"about_ca_system_score_gemma":0.00005013584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001667584,"about_ca_topic_score_gemma":0.0001670042,"domain_scores_codex":[0.9983909,0.0003907645,0.0002827121,0.0004272214,0.0001985383,0.0003098775],"domain_scores_gemma":[0.9994004,0.00003476048,0.0001585516,0.0002465351,0.00006566487,0.00009410701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129973,0.0001041797,0.6308832,0.00001221527,0.00001598503,0.00000422093,0.001535393,0.0005139366,0.3603342,4.762574e-7,0.0001583506,0.006324831],"study_design_scores_gemma":[0.002324661,0.0003831047,0.9387773,0.000054509,0.000009924778,0.000001660876,0.001160314,0.001293312,0.05417707,0.0002308943,0.001297473,0.0002897501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992452,0.005512562,0.00111769,0.0002003821,0.000178332,0.000464165,0.00001857534,0.000006264656,0.00005007809],"genre_scores_gemma":[0.9960635,0.001537967,0.001988136,0.0001842385,0.00006649289,0.00003921213,0.00005645253,0.00003256622,0.0000313981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078941,"threshold_uncertainty_score":0.6829979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984650538","doi":"10.3389/fgene.2014.00152","title":"Bioinformatics for precision medicine in oncology: principles and application to the SHIVA clinical trial","year":2014,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"FP7 Health; Institut National Du Cancer; Institute of Cancer Research; Direction Générale de l’offre de Soins; Agence Nationale de la Recherche; European Commission","keywords":"Workflow; Precision medicine; Traceability; Computer science; Personalized medicine; Context (archaeology); Profiling (computer programming); Clinical trial; Data science; Bioinformatics; Medicine; Medical physics; Data mining; Computational biology; Software engineering; Biology; Pathology; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.05652419110916653,"gpt":0.4034279627125305,"spread":0.3469037716033639,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534312,0.0002568067,0.0009983549,0.0001390847,0.0000428116,0.00001987817,0.0004417834,0.0005855486,5.691775e-7],"category_scores_gemma":[0.001052832,0.00018424,0.0001447792,0.0001469966,0.000133972,0.000001194969,0.0002569431,0.0002158817,0.000002031428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008238682,"about_ca_system_score_gemma":0.0003125947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006200818,"about_ca_topic_score_gemma":0.0001780181,"domain_scores_codex":[0.997853,0.0001462931,0.001224293,0.0004231858,0.0001080488,0.0002451515],"domain_scores_gemma":[0.9985615,0.0003116225,0.0003889372,0.0005864156,0.00004967883,0.0001018542],"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":[0.0005387394,0.00004163548,0.0001004261,0.0006022779,0.00002994632,2.319922e-7,0.00004356519,0.0001204831,6.482414e-7,0.00003211441,0.01927054,0.9792194],"study_design_scores_gemma":[0.004617922,0.0012922,0.00003466025,0.0004759354,0.0001396014,0.000002391668,0.00003359752,0.001398638,0.000002321886,0.0001252285,0.9916697,0.0002077964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001671587,0.894677,0.09915515,0.0002137321,0.001727988,0.003800949,0.00007150381,0.000003234175,0.0001832665],"genre_scores_gemma":[0.00002796505,0.9656998,0.031599,0.0002958961,0.001352603,0.0005845095,0.0003455777,0.0000354136,0.00005924509],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9790116,"threshold_uncertainty_score":0.751309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905394489","doi":"10.3389/fgene.2018.00709","title":"Translational Control in Stem Cells","year":2019,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Stem cell; Translation (biology); Cell biology; Embryonic stem cell; Biology; Somatic cell; Translational regulation; Cellular differentiation; Messenger RNA; Proteome; Protein biosynthesis; Regenerative medicine; Cell cycle; Cell; Molecular biology; Genetics; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.02594959848801777,"gpt":0.2997411537482366,"spread":0.2737915552602189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002654026,0.0002690425,0.0007925266,0.0002241482,0.00001668069,0.00002174824,0.000372287,0.000475089,0.000006879154],"category_scores_gemma":[0.000006683227,0.0002571348,0.0002315982,0.0001738442,0.00004694636,0.000001534058,0.00004509814,0.0003128969,0.00001763663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000491362,"about_ca_system_score_gemma":0.0003828378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004588263,"about_ca_topic_score_gemma":0.00002068306,"domain_scores_codex":[0.9982927,0.000193287,0.0004658293,0.0004479154,0.0001958858,0.000404385],"domain_scores_gemma":[0.9993979,0.00001995111,0.00009959463,0.0003782413,0.00002715553,0.00007720201],"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":[0.0000295425,0.00004472193,0.001610524,0.002554899,0.00009777995,0.00001937337,0.00001162661,0.0003709654,0.000456162,0.000004003561,0.005570988,0.9892294],"study_design_scores_gemma":[0.0007229543,0.00007550584,0.00003994414,0.0007698474,0.00005223545,0.000003599677,0.00001328688,0.0006451493,0.0000956784,0.00001013958,0.9972758,0.0002958436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003830922,0.9931315,0.004798124,0.000008893559,0.0005416533,0.0008310179,0.00009350931,0.000002957973,0.0002092551],"genre_scores_gemma":[0.0001411816,0.9956466,0.001602178,0.00003950164,0.000146365,0.00005483619,0.0001310975,0.00004877961,0.002189442],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917048,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2896429764","doi":"10.3389/fgene.2018.00470","title":"eIF4E-Dependent Translational Control: A Central Mechanism for Regulation of Pain Plasticity","year":2018,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Institutes of Health; National Institute of Neurological Disorders and Stroke; Réseau québécois de recherche sur la douleur","keywords":"EIF4E; Translation (biology); Neuroscience; Translational regulation; PI3K/AKT/mTOR pathway; Neuroplasticity; Nociception; MAPK/ERK pathway; Biology; Cell biology; Messenger RNA; Signal transduction; Gene; Receptor; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01910288161943581,"gpt":0.2607937806076273,"spread":0.2416908989881914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004091302,0.0002706589,0.0006126929,0.0001639504,0.00004544578,0.00001172974,0.0001638722,0.0005731719,0.00001245841],"category_scores_gemma":[0.0001344544,0.0002682027,0.0003287925,0.0001059984,0.00007250522,0.000002701779,0.00001894644,0.00008731207,8.527568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004828002,"about_ca_system_score_gemma":0.0002079466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001139821,"about_ca_topic_score_gemma":0.00001218054,"domain_scores_codex":[0.9982722,0.0002182954,0.0006348558,0.0004048956,0.0002020778,0.0002676667],"domain_scores_gemma":[0.9991699,0.00003894035,0.0003419813,0.0001978704,0.0001869322,0.00006441928],"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":[0.0007621073,0.0003715761,0.0005403148,0.01027413,0.001029315,9.895999e-7,0.00013663,0.004549593,0.001025629,0.001882464,0.03463191,0.9447953],"study_design_scores_gemma":[0.002157789,0.0005679107,0.0001083615,0.0009896273,0.0004948445,0.00000319692,0.0000318044,0.03020048,0.001416717,0.002421233,0.9610147,0.0005933705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00003525018,0.3770794,0.6205044,0.00001001407,0.001341432,0.0007687578,0.0002336041,0.000005754514,0.00002134176],"genre_scores_gemma":[0.003133249,0.9756668,0.01698212,0.00005989286,0.00163893,0.0001773074,0.001895866,0.00008636397,0.0003594885],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9442019,"threshold_uncertainty_score":0.999977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802617351","doi":"10.3389/fgene.2018.00138","title":"Molecular Identification of Shark Meat From Local Markets in Southern Brazil Based on DNA Barcoding: Evidence for Mislabeling and Trade of Endangered Species","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal do Rio Grande do Sul; Fundação Grupo Boticário de Proteção à Natureza; McGill University","keywords":"DNA barcoding; Overfishing; Endangered species; Biology; Threatened species; Fishery; Population; Zoology; Ecology; Fishing","retraction":null,"screen_n_in":null,"score":{"opus":0.02922731965955843,"gpt":0.2819481756652522,"spread":0.2527208560056937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003415694,0.0001215109,0.0001783938,0.0001512889,0.00003087902,0.00001698848,0.0002133483,0.0001355465,0.00000840421],"category_scores_gemma":[0.0002476946,0.0001378747,0.0000562564,0.000146623,0.0002692832,0.000004697538,0.00002670311,0.00004922376,7.930453e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001835643,"about_ca_system_score_gemma":0.00004878518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009992041,"about_ca_topic_score_gemma":0.00003572428,"domain_scores_codex":[0.9987339,0.00009164751,0.00049905,0.0003707093,0.0001623001,0.0001423795],"domain_scores_gemma":[0.99921,0.00004531348,0.0002136697,0.0003956657,0.00009940106,0.0000359316],"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":[0.0003407743,0.00007723599,0.01577837,0.00006384648,0.00002099435,2.400353e-7,0.0003971927,0.0003247689,0.979121,0.00003359151,0.0006848659,0.00315711],"study_design_scores_gemma":[0.0006650226,0.0001055515,0.03011895,0.0001022859,0.00002138841,1.973374e-7,0.0005544316,0.02495925,0.9425495,0.00009737674,0.0006960778,0.0001299554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332297,0.001438849,0.1644145,0.0001752685,0.0002588574,0.0002968757,0.0001424358,0.000003623254,0.00003987542],"genre_scores_gemma":[0.9903347,0.0001821869,0.009125097,0.00007198383,0.00004606193,0.00002193651,0.0001143973,0.00001952036,0.00008404525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1571051,"threshold_uncertainty_score":0.5622368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3131575142","doi":"10.3389/fgene.2020.613636","title":"Impacts of Epigenetic Processes on the Health and Productivity of Livestock","year":2021,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Epigenome; Epigenetics; Biology; Livestock; Productivity; DNA methylation; Biotechnology; Genetics; Ecology; Gene","retraction":null,"screen_n_in":null,"score":{"opus":0.03322848457925211,"gpt":0.3202848913794689,"spread":0.2870564068002168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428774,0.0002819877,0.0009730671,0.0001216777,0.00003746172,0.00001113273,0.00023786,0.0002494543,0.000001540093],"category_scores_gemma":[0.0005575254,0.0002125665,0.0001297553,0.0003366117,0.000180918,0.000001242738,0.0001330053,0.0001699477,1.772816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002451319,"about_ca_system_score_gemma":0.001124114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010416,"about_ca_topic_score_gemma":0.00002602753,"domain_scores_codex":[0.9981412,0.000368233,0.0006191356,0.0004522807,0.0001876029,0.0002315826],"domain_scores_gemma":[0.9985005,0.00006167369,0.0006048333,0.0006071684,0.0001414649,0.00008437841],"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":[0.00002521,0.0002367024,0.004101137,0.02179431,0.0002225195,0.00000111507,0.0002796845,0.00005846716,0.0003794164,0.00002559373,0.0009317387,0.9719441],"study_design_scores_gemma":[0.0003351314,0.002424488,0.0004489147,0.009224673,0.0002421836,0.00000641307,0.0002488072,0.00001133399,0.03163165,0.0003217718,0.9544762,0.0006284725],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01130773,0.9867962,0.000774066,0.0000359169,0.0002168824,0.0007649076,0.00005695142,0.000001784163,0.00004554652],"genre_scores_gemma":[0.003654412,0.9932087,0.002795685,0.0000168027,0.00009812896,0.00003576994,0.0001080935,0.00004037199,0.00004204993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9713156,"threshold_uncertainty_score":0.866821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3133644862","doi":"10.3389/fgene.2020.592769","title":"Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project","year":2021,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; Iowa State University; University of Wisconsin-Madison; U.S. Department of Agriculture","keywords":"Genomic selection; Gene–environment interaction; Environmental data; Predictive modelling; Covariate; Biology; Computer science; Set (abstract data type); Best linear unbiased prediction; Genotype; Selection (genetic algorithm); Machine learning; Genetics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01749052804151231,"gpt":0.2357883243430892,"spread":0.2182977963015769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003411284,0.000140029,0.0001930094,0.00005011138,0.00006817068,0.00002051783,0.0002380057,0.0001631092,0.000003378487],"category_scores_gemma":[0.0001324496,0.0001267813,0.00007450956,0.0001386,0.00005590845,0.000007520415,0.0001489957,0.00009608302,6.973502e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001931444,"about_ca_system_score_gemma":0.0002000303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001781676,"about_ca_topic_score_gemma":0.00005241409,"domain_scores_codex":[0.9988455,0.00006134525,0.000486389,0.0002676843,0.0001231972,0.0002159281],"domain_scores_gemma":[0.999138,0.00002939766,0.0001109533,0.0005075932,0.0001552273,0.00005882526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002096535,0.0006362816,0.1070069,0.001382814,0.0005321513,5.548073e-7,0.02796482,0.52239,0.1643507,0.001877846,0.02733415,0.1444273],"study_design_scores_gemma":[0.004069865,0.005361362,0.2983045,0.0001820258,0.000338275,0.00001728901,0.01344723,0.2311736,0.3564182,0.07714889,0.01202109,0.001517654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4682965,0.0003365842,0.5295076,0.00008662978,0.0005905272,0.0008315434,0.0001029957,0.000004661101,0.0002429526],"genre_scores_gemma":[0.7704286,0.00002608974,0.228958,0.0002957461,0.00006224567,0.0001073812,0.00006201857,0.00000988123,0.00005003822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.302132,"threshold_uncertainty_score":0.5169989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165512466","doi":"10.3389/fgene.2013.00040","title":"Epigenetics in radiation biology: a new research frontier","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Genome instability; Epigenetics; DNA methylation; Biology; Germline; Genome; Genetics; Offspring; Bystander effect; Transgenerational epigenetics; DNA damage; Gene; DNA; Gene expression; Immunology; Pregnancy","retraction":null,"screen_n_in":null,"score":{"opus":0.02658717896454075,"gpt":0.3256714217072111,"spread":0.2990842427426703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006437221,0.0002016209,0.0002332173,0.0004392485,0.00005918914,0.00005234627,0.000355993,0.0004259626,0.00004488981],"category_scores_gemma":[0.0002082002,0.0002206404,0.00006060394,0.0004946116,0.0001347539,0.000006930305,0.000149556,0.0002859709,0.00003518425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008834981,"about_ca_system_score_gemma":0.0002128198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003454411,"about_ca_topic_score_gemma":0.0002082823,"domain_scores_codex":[0.9978396,0.000306734,0.0004628523,0.000548295,0.0002202832,0.0006222168],"domain_scores_gemma":[0.9990708,0.00002314864,0.00007893921,0.000526871,0.0001354917,0.0001647014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003267432,0.00009680084,0.6579495,0.00001188955,0.00002314834,0.000001780528,0.0002567185,0.001701922,0.1254664,0.00004597277,0.02860606,0.1858071],"study_design_scores_gemma":[0.002782788,0.0007946384,0.4111682,0.00003785533,0.00001452166,0.000001363602,0.0005105244,0.007100216,0.2576882,0.03830823,0.2807414,0.0008520016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248801,0.03391637,0.03732062,0.0003748369,0.0009713281,0.0007642416,0.000007687763,0.000009990441,0.001754827],"genre_scores_gemma":[0.9367098,0.01192318,0.04893856,0.0001063141,0.0004839632,0.00008994239,0.0001568119,0.00005374486,0.001537679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2521354,"threshold_uncertainty_score":0.8997454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126468077","doi":"10.3389/fgene.2014.00086","title":"Elucidating the interactions between the human gut microbiota and its host through metabolic modeling","year":2014,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Knut och Alice Wallenbergs Stiftelse; Fondation Chalmers; Torsten Söderbergs Stiftelse","keywords":"Gut flora; Microbiome; Biology; Host (biology); Computational biology; Gut microbiome; Human health; Human microbiome; Gut bacteria; Immune system; Bioinformatics; Ecology; Genetics; Immunology; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.04863369570064481,"gpt":0.3530207261172714,"spread":0.3043870304166266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004155326,0.0004069558,0.0008532451,0.00007438933,0.0004156485,0.00008396658,0.0006526954,0.0003625139,0.000003675602],"category_scores_gemma":[0.00004382772,0.0002610048,0.0002324389,0.0001697124,0.0001118737,0.000003878565,0.0003786933,0.0006298292,0.000006005965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003175396,"about_ca_system_score_gemma":0.0001402549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002710712,"about_ca_topic_score_gemma":0.00004682994,"domain_scores_codex":[0.9979405,0.0003519729,0.0006635107,0.0005328886,0.00008744862,0.0004236095],"domain_scores_gemma":[0.9988646,0.00003348797,0.0003115474,0.000676766,0.00005733478,0.00005627653],"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":[0.00001768912,0.0001814076,0.001682195,0.01382171,0.002767742,0.000005414201,0.002057218,0.0004538327,0.02790649,0.0004452681,0.05708634,0.8935747],"study_design_scores_gemma":[0.0001329558,0.0000299816,0.000068376,0.0006922593,0.0004510441,0.00001871455,0.00008616107,0.0001689411,0.000130298,0.00003727526,0.9978765,0.0003075004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002009314,0.9908199,0.005410444,0.0001162378,0.0006092143,0.0007650889,0.0000956743,0.000007815859,0.0001663492],"genre_scores_gemma":[0.00308359,0.9927813,0.002348971,0.000201612,0.0008655611,0.00004774393,0.0003386237,0.00007449977,0.0002580526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9407902,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220790896","doi":"10.3389/fgene.2022.823309","title":"Using Indigenous Standards to Implement the CARE Principles: Setting Expectations through Tribal Research Codes","year":2022,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"York University; Udall Foundation","keywords":"Indigenous; Context (archaeology); Sovereignty; Data sharing; Corporate governance; Political science; Interoperability; Research ethics; Data Protection Act 1998; Best practice; Public relations; Data governance; Public administration; Engineering ethics; Law; Business; Computer science; Medicine; Data quality; Engineering; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.53665555010077,"gpt":0.6152019281548486,"spread":0.0785463780540786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007419673,0.0001311584,0.0002743978,0.0002752129,0.001300551,0.00006371551,0.0006095059,0.0001187834,0.00008823994],"category_scores_gemma":[0.004801275,0.0001134736,0.00008089102,0.001148296,0.0002440136,0.00002357361,0.001104114,0.002579386,0.000002408877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002844319,"about_ca_system_score_gemma":0.003614753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001902592,"about_ca_topic_score_gemma":0.0005065131,"domain_scores_codex":[0.9938105,0.0007891817,0.000594994,0.0004654739,0.003527122,0.0008127117],"domain_scores_gemma":[0.9963154,0.001620922,0.00007692684,0.0007694838,0.001054058,0.0001631977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009531977,0.0004861307,0.3567611,0.0005438833,0.0002801316,0.0002739362,0.5626832,0.03011723,0.0009782392,0.003112727,0.01998478,0.02382544],"study_design_scores_gemma":[0.002183685,0.002445272,0.00812475,0.0001933625,0.0000697569,0.00002476622,0.8585222,0.003416582,0.002902502,0.01162433,0.11015,0.0003428154],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623447,0.006864567,0.01944528,0.004195406,0.0009309698,0.003104064,0.0005536326,0.00003778271,0.002523616],"genre_scores_gemma":[0.8638418,0.000425293,0.1342931,0.0004617234,0.0002196827,0.0003042518,0.00004383758,0.00004952731,0.0003608231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3486363,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077476403","doi":"10.3389/fgene.2012.00175","title":"Updating Our View of Organelle Genome Nucleotide Landscape","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Genome; Computational biology; Biology; Organelle; Single-nucleotide polymorphism; Evolutionary biology; Genetics; Gene; Genotype","retraction":null,"screen_n_in":null,"score":{"opus":0.009158449072839452,"gpt":0.2256954842043066,"spread":0.2165370351314671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002845642,0.000127621,0.0001866132,0.00005384285,0.00003056917,0.000006902143,0.0002093666,0.0001318299,0.00002742409],"category_scores_gemma":[0.00004427541,0.0001284446,0.00005687819,0.00009946816,0.00001855324,0.000003130342,0.00009274531,0.00005622248,0.000009638912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008181737,"about_ca_system_score_gemma":0.0000271246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002062594,"about_ca_topic_score_gemma":0.000001069579,"domain_scores_codex":[0.9990984,0.0000711414,0.0002496699,0.0001727002,0.0001084742,0.0002995672],"domain_scores_gemma":[0.9994822,0.000003351361,0.00009868227,0.0003056644,0.00003235144,0.00007777307],"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":[0.000024777,0.0000643629,0.1483435,0.00004530737,0.00003801041,9.018763e-7,0.0001564226,0.00007979394,0.8395902,0.00002487943,0.001893236,0.009738645],"study_design_scores_gemma":[0.0003735638,0.000125932,0.01486931,0.00002773047,0.00002466266,0.000006116913,0.001300449,0.00003959424,0.9436864,0.0001443154,0.03912716,0.0002747779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629897,0.02051567,0.01395531,0.00005758361,0.0007210098,0.0002145953,0.00001420041,0.000007900573,0.001524012],"genre_scores_gemma":[0.930282,0.001659631,0.06746233,0.00006065713,0.0002555054,0.000009321236,0.00002447206,0.0000290996,0.0002169812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1334742,"threshold_uncertainty_score":0.5237821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}