{"meta":{"query_hash":"ef79a4b5ef01","filters":{"venue":"International Journal of Genomics"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ef79a4b5ef01","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Genomics"},"results":[{"id":"W1975351420","doi":"10.1155/2015/198560","title":"Phylogenomic and Molecular Demarcation of the Core Members of the Polyphyletic<i>Pasteurellaceae</i>Genera<i>Actinobacillus</i>,<i>Haemophilus</i>, and<i>Pasteurella</i>","year":2015,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biology; Polyphyly; Actinobacillus; Haemophilus; Phylogenetic tree; Pasteurella; Sensu; Evolutionary biology; Actinobacillus pleuropneumoniae; Clade; Zoology; Microbiology; Genetics; Genus; Gene; Serotype; Bacteria","score_opus":0.018938056286918147,"score_gpt":0.25510278771752287,"score_spread":0.23616473143060474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975351420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99141043,0.0054903207,0.00010815122,0.001272696,0.0011329227,0.00015490317,0.000072232,0.000002312337,0.0003560239],"genre_scores_gemma":[0.9988663,0.0005416979,0.00009701731,0.00024280012,0.00007282594,0.000001110329,0.000004225139,0.000013120938,0.00016090613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891126,0.00017744282,0.0004985588,0.00012726817,0.00014564359,0.00013981057],"domain_scores_gemma":[0.9984224,0.0000894489,0.0006061213,0.00020738835,0.00062282,0.00005181745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045127582,0.0001245887,0.00022587163,0.000120255994,0.00007081488,0.000018984065,0.00047127818,0.00010377956,0.000028452225],"category_scores_gemma":[0.0001512923,0.000081053324,0.00016409211,0.00011951809,0.0004316082,0.00005402563,0.00029777113,0.0002632776,0.0000029560574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025223196,0.000090897,0.010866693,0.000015520876,0.00033729043,0.0000027341318,0.00038911606,0.00068711495,0.9836973,0.0010764152,0.0015333474,0.0010513447],"study_design_scores_gemma":[0.004196713,0.0003247632,0.008723792,0.0001579486,0.00028793368,0.002241117,0.00079448044,0.00009665268,0.935129,0.0023419927,0.0454429,0.00026270447],"about_ca_topic_score_codex":0.00010576635,"about_ca_topic_score_gemma":0.000020307049,"teacher_disagreement_score":0.048568293,"about_ca_system_score_codex":0.00008789399,"about_ca_system_score_gemma":0.00028365568,"threshold_uncertainty_score":0.33052585},"labels":[],"label_agreement":null},{"id":"W2064202954","doi":"10.1155/2013/480534","title":"Integrated Analysis of Long Noncoding RNA and Coding RNA Expression in Esophageal Squamous Cell Carcinoma","year":2013,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Esophageal squamous cell carcinoma; Long non-coding RNA; Non-coding RNA; RNA; Cancer research; Coding (social sciences); Biology; Carcinoma; Genetics; Gene; Mathematics","score_opus":0.00960641937032335,"score_gpt":0.2630642268471032,"score_spread":0.2534578074767798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064202954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97171044,0.0008663965,0.02685374,0.0000601667,0.00018298619,0.00008407733,0.000014524541,0.0000011674088,0.00022648695],"genre_scores_gemma":[0.99786633,0.00031538977,0.001548401,0.00004489283,0.00010882419,0.0000025335546,0.000029932386,0.00001486135,0.00006881926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888885,0.00006184896,0.00046154106,0.00016219959,0.00027915294,0.00014641997],"domain_scores_gemma":[0.99892896,0.000030536637,0.00032143563,0.00011783594,0.00051745056,0.00008377707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027004088,0.000108054744,0.00021473346,0.0005408808,0.000020348349,0.000049132035,0.00033168044,0.00011254426,0.00005896265],"category_scores_gemma":[0.0000933027,0.000102709164,0.00013879829,0.00018019046,0.000040933945,0.000016727909,0.00015670236,0.00020725091,0.0000011547418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013873365,0.000051372972,0.0023264461,0.000007868244,0.00016207024,0.00005757691,0.00013620932,0.0039021503,0.98959404,0.000009798469,0.00006403804,0.0035496687],"study_design_scores_gemma":[0.0009896172,0.00015853497,0.009925172,0.000025194347,0.000069719485,0.000041168958,0.00017407259,0.007080559,0.9813204,0.000030608884,0.00008737531,0.00009761766],"about_ca_topic_score_codex":0.00012326024,"about_ca_topic_score_gemma":0.000049442457,"teacher_disagreement_score":0.02615589,"about_ca_system_score_codex":0.00013307217,"about_ca_system_score_gemma":0.00013731293,"threshold_uncertainty_score":0.41883582},"labels":[],"label_agreement":null},{"id":"W2082362096","doi":"10.1155/2013/609748","title":"<i>DUSP1</i>Gene Polymorphisms Are Associated with Obesity-Related Metabolic Complications among Severely Obese Patients and Impact on Gene Methylation and Expression","year":2013,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de Chicoutimi; Université de Sherbrooke; Université Laval","funders":"Université de Sherbrooke; Canadian Institutes of Health Research; Université Laval; Heart and Stroke Foundation of Canada","keywords":"Methylation; DNA methylation; Single-nucleotide polymorphism; CpG site; Biology; Endocrinology; Promoter; Internal medicine; Gene; Locus (genetics); Allele; Gene expression; Genetics; Genotype; Medicine","score_opus":0.006659552481068692,"score_gpt":0.2325082689589347,"score_spread":0.225848716477866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082362096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974486,0.0012097824,0.0007980416,0.00013043323,0.00012125097,0.00016351891,0.000051631396,0.000003728282,0.00007300205],"genre_scores_gemma":[0.99777627,0.0009280161,0.0008994708,0.00008241785,0.00008554442,0.0000046967116,0.00016658193,0.000020972037,0.000036004712],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901813,0.000081704384,0.00035181173,0.00018137772,0.0002478669,0.00011913355],"domain_scores_gemma":[0.9984334,0.00004086402,0.00062435085,0.000111969326,0.0006655494,0.00012387398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018585267,0.00015194861,0.00017482114,0.00012868531,0.0000748856,0.00007638787,0.00015256899,0.00012062667,0.000009065852],"category_scores_gemma":[0.00010631686,0.00011833681,0.00006539821,0.000057082023,0.00006295828,0.00002994984,0.00006647381,0.0001237563,0.0000019531515],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001410964,0.00021956772,0.42156178,0.0000015765798,0.0003844771,0.0000023344155,0.00011709373,0.0018855678,0.5720836,0.000018939549,0.00006320199,0.0035207574],"study_design_scores_gemma":[0.000979581,0.00025500442,0.8136445,0.000032372925,0.0000346256,0.000008761214,0.000013337462,0.0002859413,0.18409763,0.00045366705,0.00007765003,0.00011689793],"about_ca_topic_score_codex":0.00003111315,"about_ca_topic_score_gemma":0.000010955264,"teacher_disagreement_score":0.39208275,"about_ca_system_score_codex":0.0000539649,"about_ca_system_score_gemma":0.00004472503,"threshold_uncertainty_score":0.4825635},"labels":[],"label_agreement":null},{"id":"W2169569956","doi":"10.1155/2015/196591","title":"Spaced Seed Data Structures for<i>De Novo</i>Assembly","year":2015,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Human Genome Research Institute; National Institutes of Health; Genome British Columbia; Genome Canada","keywords":"Sequence assembly; Bloom filter; Data structure; k-mer; Genome; Computer science; De Bruijn graph; De Bruijn sequence; Hybrid genome assembly; Scalability; Sequence (biology); Metagenomics; De novo transcriptome assembly; Reference genome; Algorithm; Computational biology; Biology; Theoretical computer science; Graph; Genetics; Transcriptome; Mathematics; Gene; Database; Programming language; Combinatorics","score_opus":0.04572948246611166,"score_gpt":0.3164276191650766,"score_spread":0.270698136698965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169569956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98730546,0.0013280842,0.008824541,0.0008817796,0.0011775477,0.000064249994,0.00016885705,9.4574483e-7,0.00024851604],"genre_scores_gemma":[0.9816253,0.00031894262,0.01584087,0.0003903933,0.0016031347,0.0000011317684,0.00007084312,0.000016320815,0.00013302197],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993309,0.000017203969,0.00024771751,0.0001351886,0.00014575751,0.00012325695],"domain_scores_gemma":[0.99886453,0.00001666218,0.00021284385,0.00021171488,0.00060427154,0.000089991154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033612497,0.00009110528,0.00011819605,0.000044574652,0.000025750074,0.000042482003,0.00079838396,0.000059776157,0.0000014281205],"category_scores_gemma":[0.00021982641,0.000083486906,0.00006986157,0.000016720702,0.000032532185,0.0000024191575,0.00026518974,0.00005561738,9.759817e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007110099,0.00004937063,0.006982145,0.000004063305,0.0006915342,0.000014310466,0.00026297432,0.0028122577,0.97437906,0.00053968903,0.0107865585,0.0027670306],"study_design_scores_gemma":[0.00404427,0.0007138202,0.011130008,0.000012238621,0.00010218695,0.000853853,0.00062401773,0.0007706769,0.12299622,0.006599187,0.8518044,0.00034917516],"about_ca_topic_score_codex":0.000008528662,"about_ca_topic_score_gemma":0.000024360743,"teacher_disagreement_score":0.85138285,"about_ca_system_score_codex":0.00004489615,"about_ca_system_score_gemma":0.00038771203,"threshold_uncertainty_score":0.34044972},"labels":[],"label_agreement":null},{"id":"W2595990726","doi":"10.1155/2017/5149362","title":"Temporal Changes in Gene Expression Profile during Mature Adipocyte Dedifferentiation","year":2017,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"Adipocyte; MMP1; Downregulation and upregulation; Biology; Gene expression; Gene; Gene expression profiling; Cell biology; Adipose tissue; Extracellular matrix; Genetics; Endocrinology","score_opus":0.016160110498627926,"score_gpt":0.282792527279317,"score_spread":0.26663241678068905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595990726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963452,0.00043932325,0.0002203402,0.001302645,0.0011193082,0.0001172895,0.0000223373,0.0000069459484,0.00042659984],"genre_scores_gemma":[0.9943217,0.0005443443,0.0022403572,0.000088819164,0.002129303,0.0000042590505,0.00004030772,0.000014523228,0.00061637367],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990841,0.000017521696,0.00034787506,0.00009912103,0.000341575,0.00010979817],"domain_scores_gemma":[0.99871105,0.000011387785,0.0006629613,0.00016816078,0.00034994754,0.00009651884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014813618,0.00009798809,0.00019943425,0.00030431445,0.00007688097,0.00007699906,0.0002819202,0.00006951632,0.00012848005],"category_scores_gemma":[0.00016827988,0.000081360085,0.00008439559,0.00002331683,0.000032581833,0.00026827928,0.00005937564,0.00015546828,0.00000718129],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022455587,0.00029902742,0.32144883,0.000082752114,0.00027866295,0.00045894223,0.0010582121,0.00015566422,0.6646989,0.00013886706,0.000740736,0.008393869],"study_design_scores_gemma":[0.0027106635,0.000045823475,0.729144,0.00023205932,0.00006294381,0.00029114282,0.00006240636,0.00012750406,0.25981542,0.00016979102,0.0072432645,0.00009501249],"about_ca_topic_score_codex":0.000012609386,"about_ca_topic_score_gemma":0.000027954466,"teacher_disagreement_score":0.40769514,"about_ca_system_score_codex":0.00014059313,"about_ca_system_score_gemma":0.000131061,"threshold_uncertainty_score":0.3317768},"labels":[],"label_agreement":null},{"id":"W2801482436","doi":"10.1155/2018/5848046","title":"The Challenges and Opportunities in the Clinical Application of Noncoding RNAs: The Road Map for miRNAs and piRNAs in Cancer Diagnostics and Prognostics","year":2018,"lang":"en","type":"review","venue":"International Journal of Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Cure Brain Cancer Foundation; Canadian Cancer Society","keywords":"microRNA; Piwi-interacting RNA; Biology; Computational biology; Long non-coding RNA; Non-coding RNA; Small nucleolar RNA; RNA; Gene; Genetics; Bioinformatics; RNA interference","score_opus":0.12906872857699414,"score_gpt":0.4079464775721172,"score_spread":0.2788777489951231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801482436","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015899625,0.9820858,0.00013004134,0.0010930382,0.00024656198,0.00047687846,0.000056208966,4.356898e-7,0.000011397597],"genre_scores_gemma":[0.010867317,0.98809344,0.0001687342,0.0000595161,0.00072297856,0.00004857341,0.000019416595,0.000014046505,0.0000059669833],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878037,0.00015390474,0.00070919574,0.00013708713,0.0001320421,0.00008737823],"domain_scores_gemma":[0.9981382,0.0006338179,0.0008227732,0.00012963037,0.00024608325,0.000029514527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013455538,0.00012686121,0.00028356045,0.000058928727,0.000040884614,0.000045703364,0.00036379803,0.00013500049,2.1515817e-7],"category_scores_gemma":[0.00035985504,0.00007079747,0.000093592374,0.000016928745,0.00025108486,0.0000065398935,0.00011617885,0.00015077759,5.866253e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006940622,0.000046288158,0.0002723462,0.00044431924,0.00021605103,0.000002867016,0.00022032077,0.0000037127008,0.00003768727,0.0008887869,0.00020785701,0.99759036],"study_design_scores_gemma":[0.00041337893,0.00014705841,0.0030326024,0.0011807174,0.00019179599,0.000103432496,0.0003030618,0.000108384986,0.000018575722,0.000647065,0.99374795,0.0001059854],"about_ca_topic_score_codex":0.000007188234,"about_ca_topic_score_gemma":0.00014820813,"teacher_disagreement_score":0.9974844,"about_ca_system_score_codex":0.00003683229,"about_ca_system_score_gemma":0.00022034763,"threshold_uncertainty_score":0.28870368},"labels":[],"label_agreement":null},{"id":"W2809939688","doi":"10.1155/2018/6972397","title":"Expanding the miRNA Transcriptome of Human Kidney and Renal Cell Carcinoma","year":2018,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Transcriptome; Biology; microRNA; Clear cell renal cell carcinoma; Kidney cancer; Computational biology; Cancer; Renal cell carcinoma; Gene; Kidney; Cancer research; Genetics; Gene expression; Pathology; Medicine","score_opus":0.010833290085392196,"score_gpt":0.2643875052911844,"score_spread":0.2535542152057922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809939688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977175,0.0004081544,0.0009336145,0.00023753456,0.0002831979,0.000038591817,0.000020681635,7.039994e-7,0.00036001697],"genre_scores_gemma":[0.9985457,0.000049341485,0.00040181828,0.00013905713,0.00076719647,4.4932816e-7,0.000011922765,0.000008659055,0.000075836295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994382,0.0000258311,0.00025917802,0.00007510205,0.00013615451,0.00006550872],"domain_scores_gemma":[0.9993072,0.0000061794344,0.00025133096,0.000087738634,0.0002892438,0.000058311532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017123065,0.00006164542,0.00007288867,0.000055982997,0.000039536288,0.000020120873,0.00025621726,0.000041638614,0.000022954886],"category_scores_gemma":[0.000022995884,0.000048292648,0.00007504258,0.000019643441,0.000116856296,0.000006082071,0.00004490375,0.00005022905,7.319345e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010870287,0.000023186536,0.0024265728,0.0000045043103,0.00006215009,0.000002450749,0.00021931673,0.000008042108,0.995787,0.00004655599,0.0009845207,0.0003269839],"study_design_scores_gemma":[0.0006566273,0.00022332038,0.015142897,0.000015895528,0.000027847165,0.00008471912,0.00007276284,0.000021959488,0.9757839,0.00021661152,0.0076947897,0.000058683898],"about_ca_topic_score_codex":0.0000059851277,"about_ca_topic_score_gemma":0.0000031900588,"teacher_disagreement_score":0.020003127,"about_ca_system_score_codex":0.000026400303,"about_ca_system_score_gemma":0.0000837764,"threshold_uncertainty_score":0.1969317},"labels":[],"label_agreement":null},{"id":"W2889932967","doi":"10.1155/2018/5121540","title":"Common DNA Variants Accurately Rank an Individual of Extreme Height","year":2018,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Johnson and Johnson Pharmaceutical Research and Development; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Biogen Idec; Genentech; Takeda Pharmaceutical Company; IXICO; Servier; Eisai; Elan; Pfizer; Biogen; BioClinica; Synarc; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; Merck; Alzheimer's Association; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Rank (graph theory); Genetics; Computational biology; Evolutionary biology; DNA; Biology; Statistics; Mathematics; Combinatorics","score_opus":0.056322528787270364,"score_gpt":0.32606937104362843,"score_spread":0.2697468422563581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889932967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994616,0.0001701079,0.0032511412,0.00033446468,0.00083992386,0.000035496985,0.000057332953,0.0000013486989,0.0006942122],"genre_scores_gemma":[0.99317634,0.0002085228,0.004926291,0.00032785177,0.001210562,6.0810214e-7,0.00005801167,0.000010435139,0.00008135872],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989947,0.00009527338,0.00050828356,0.000111120615,0.00017152824,0.00011911479],"domain_scores_gemma":[0.9985617,0.000026338746,0.0005868582,0.0001365963,0.0006238424,0.00006470132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055478624,0.000085194995,0.00017525196,0.00007918045,0.000033306955,0.000017480079,0.0005295739,0.00011589199,0.000059154107],"category_scores_gemma":[0.00015113103,0.00007767705,0.0000961748,0.000032521697,0.000088443754,0.0000093188755,0.00009794139,0.00007838944,0.0000054267653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088839815,0.00047932213,0.10584282,0.0000054220586,0.0015920127,0.00002263102,0.0009099275,0.000522645,0.85223156,0.0016205047,0.006655836,0.029228901],"study_design_scores_gemma":[0.0034221434,0.0027821304,0.76854354,0.00003721976,0.00014229237,0.00059749436,0.0005709149,0.0007247188,0.14912038,0.0043030228,0.06933757,0.00041860592],"about_ca_topic_score_codex":0.000015022867,"about_ca_topic_score_gemma":0.00005127688,"teacher_disagreement_score":0.70311123,"about_ca_system_score_codex":0.000028442546,"about_ca_system_score_gemma":0.00014466478,"threshold_uncertainty_score":0.31675783},"labels":[],"label_agreement":null},{"id":"W2952010388","doi":"10.1155/2018/6591634","title":"Detecting Differentially Variable MicroRNAs via Model-Based Clustering","year":2018,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Cluster analysis; microRNA; Variable (mathematics); Computer science; Computational biology; Data mining; Artificial intelligence; Biology; Mathematics; Genetics; Gene","score_opus":0.009132133704630967,"score_gpt":0.24954795326409715,"score_spread":0.24041581955946617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952010388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50729066,0.000050804054,0.49192682,0.000048570415,0.00048928853,0.000027916643,0.0000068230775,0.0000023889536,0.00015671541],"genre_scores_gemma":[0.96191597,0.000014351646,0.03637928,0.00022647752,0.0013665273,8.6639255e-7,0.000018169634,0.000021402802,0.00005695871],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921286,0.000025114901,0.00033773857,0.00012877495,0.00017228299,0.00012323004],"domain_scores_gemma":[0.99884295,0.000008721475,0.00033284552,0.000131443,0.00061781314,0.00006619923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019028214,0.00009991339,0.000096724856,0.00009192942,0.000047835703,0.000051486822,0.00037123705,0.000078344725,0.000028962266],"category_scores_gemma":[0.00006223896,0.00010189783,0.00010393883,0.000030052823,0.000047949994,0.000008517396,0.00010163776,0.00007500463,0.00000539482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028478145,0.00003728009,0.00020403256,0.000004151002,0.00012191488,0.0000034481354,0.000025440911,0.029606026,0.9661032,0.000011466548,0.00012554189,0.0034727212],"study_design_scores_gemma":[0.0010620396,0.00018166499,0.000631126,0.00004108642,0.000039782943,0.00015029685,0.0000099559675,0.15963627,0.831848,0.00051020156,0.005715625,0.00017393036],"about_ca_topic_score_codex":0.000003972273,"about_ca_topic_score_gemma":0.0000131099205,"teacher_disagreement_score":0.45554754,"about_ca_system_score_codex":0.00009976698,"about_ca_system_score_gemma":0.00020650175,"threshold_uncertainty_score":0.41552728},"labels":[],"label_agreement":null},{"id":"W3007234954","doi":"10.1155/2020/9354204","title":"Comparative Genomics of <i>Actinobacillus pleuropneumoniae</i> Serotype 8 Reveals the Importance of Prophages in the Genetic Variability of the Species","year":2020,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal de Viçosa","keywords":"Prophage; Actinobacillus pleuropneumoniae; Serotype; Biology; Genetics; Genomics; Microbiology; Comparative genomics; Virology; Genome; Gene; Bacteriophage; Escherichia coli","score_opus":0.03867864570632831,"score_gpt":0.28960837651732313,"score_spread":0.2509297308109948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007234954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964076,0.0008081147,0.0001063589,0.001722346,0.00026520927,0.00022857051,0.00014819797,0.0000010412184,0.0003125326],"genre_scores_gemma":[0.9993438,0.00029018117,0.00007481288,0.00018615222,0.0000636738,0.0000017125207,0.000002925797,0.000004699193,0.000032028314],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99854404,0.0004503524,0.0006992663,0.000093816474,0.00011072044,0.00010179969],"domain_scores_gemma":[0.99815565,0.0003595953,0.00076756306,0.00019338288,0.0005099478,0.000013874633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599124,0.000085544234,0.00026639394,0.000045467288,0.000046861285,0.000011050828,0.0008572079,0.000049477887,0.000103730286],"category_scores_gemma":[0.0002453868,0.000045294117,0.00016971752,0.00014701457,0.00038683,0.000041435516,0.00014821529,0.00031490825,0.0000034596142],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037695208,0.00017966774,0.10637553,0.00002347749,0.00027171915,0.000003971992,0.0026129421,0.0012705959,0.8876058,0.0006985555,0.0004803805,0.000100412006],"study_design_scores_gemma":[0.0014968483,0.00044723466,0.6335883,0.000072768955,0.00011752061,0.0003222202,0.0022478416,0.00007785904,0.35163814,0.0015672954,0.00828181,0.00014218749],"about_ca_topic_score_codex":0.000030479372,"about_ca_topic_score_gemma":0.000026759373,"teacher_disagreement_score":0.53596765,"about_ca_system_score_codex":0.00006623476,"about_ca_system_score_gemma":0.00026811403,"threshold_uncertainty_score":0.18470404},"labels":[],"label_agreement":null},{"id":"W3196842166","doi":"10.1155/2021/9709290","title":"Modulation of the Wound Healing through Noncoding RNA Interplay and GSK-3β/NF-κB Signaling Interaction","year":2021,"lang":"en","type":"review","venue":"International Journal of Genomics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Sydney; York University","keywords":"GSK-3; Inflammation; NF-κB; Signal transduction; Wound healing; GSK3B; Glycogen synthase; Kinase; Long non-coding RNA; Cell biology; NFKB1; Gene expression; Cancer research; Gene; Biology; Bioinformatics; Medicine; RNA; Phosphorylation; Immunology; Transcription factor; Genetics","score_opus":0.04033837703600158,"score_gpt":0.3839127374638042,"score_spread":0.34357436042780265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196842166","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062932707,0.9435663,0.047047213,0.00010809327,0.0025106817,0.0002581834,0.00004748439,0.0000022588808,0.0001665014],"genre_scores_gemma":[0.031705286,0.9652228,0.0017877349,0.00006763703,0.0010137417,0.0000046860673,0.000075850665,0.00004990693,0.00007236374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806625,0.00019406549,0.0009071325,0.0002510427,0.00043029556,0.00015119748],"domain_scores_gemma":[0.99775153,0.00006700304,0.0012553087,0.0002199148,0.00065440946,0.000051812396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047192795,0.00022026931,0.00054795475,0.0001608157,0.000057451507,0.00009853518,0.0005600111,0.00027317234,0.00002060511],"category_scores_gemma":[0.0002270827,0.00017995911,0.000521921,0.000109306115,0.000057905836,0.000019985735,0.00038858762,0.00055914046,9.311725e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017963292,0.00010257836,0.0000045913016,0.001024,0.0028603117,0.000050929124,0.00037999655,0.006713738,0.29056698,0.00033481696,0.0002912633,0.69749117],"study_design_scores_gemma":[0.00065202574,0.00019792252,0.0000018862772,0.009039412,0.0003968952,0.0016441969,0.0002140399,0.0006060908,0.079915814,0.00020975005,0.90678114,0.00034080973],"about_ca_topic_score_codex":0.000020000993,"about_ca_topic_score_gemma":0.000011667953,"teacher_disagreement_score":0.9064899,"about_ca_system_score_codex":0.0003504633,"about_ca_system_score_gemma":0.0006160108,"threshold_uncertainty_score":0.73385197},"labels":[],"label_agreement":null},{"id":"W4408134248","doi":"10.1155/ijog/9281891","title":"Frequency of Genetic Testing Among Patients With Epithelial Ovarian, Fallopian Tube, and Peritoneal Cancers: A Strategy to Improve Compliance","year":2025,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"NYU Grossman School of Medicine; York University","keywords":"Fallopian tube; Medicine; Gynecology; Genetic testing; Ovarian cancer; Compliance (psychology); Oncology; Epithelial ovarian cancer; Internal medicine; Obstetrics; Cancer; Psychology","score_opus":0.011575461862189914,"score_gpt":0.26822609436337047,"score_spread":0.25665063250118053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408134248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923919,0.00022687203,0.0062733656,0.00009984486,0.00047116482,0.00012171293,0.00010042851,0.0000014494897,0.00031325556],"genre_scores_gemma":[0.97375834,0.00003367439,0.025755282,0.000146201,0.00022879979,0.000005306111,0.000008531739,0.000011179507,0.000052686835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992101,0.000018029315,0.00035141295,0.000158471,0.00015852354,0.00010346862],"domain_scores_gemma":[0.99865115,0.000016257773,0.00025749882,0.00010934104,0.00091230206,0.000053429474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079303885,0.00009848722,0.00012776918,0.000094659015,0.00003040547,0.000034592642,0.00028387352,0.000052843894,0.000004831031],"category_scores_gemma":[0.000076212986,0.00009263358,0.000034554017,0.000075415854,0.00008528897,0.00000958796,0.00007570194,0.00008476668,2.8522888e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037992132,0.000082743354,0.61448234,0.00003020554,0.00057516113,0.000011053155,0.00020242241,0.014713779,0.33028725,0.00013101677,0.00012945829,0.038974643],"study_design_scores_gemma":[0.0021027857,0.00087463524,0.9531804,0.00018139262,0.000055384153,0.000031935775,0.00013425872,0.0005348088,0.04140794,0.00043828425,0.0008565767,0.0002016278],"about_ca_topic_score_codex":0.00015509104,"about_ca_topic_score_gemma":0.00017120519,"teacher_disagreement_score":0.33869803,"about_ca_system_score_codex":0.00019229543,"about_ca_system_score_gemma":0.0006384694,"threshold_uncertainty_score":0.3777488},"labels":[],"label_agreement":null}]}