{"meta":{"query_hash":"189d059f2e7d","filters":{"venue":"Genome Medicine"},"cohort_total":200,"direct_labels_cover":1,"predictions_cover":200,"exported":200,"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/189d059f2e7d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Genome+Medicine"},"results":[{"id":"W1835942292","doi":"10.1186/s13073-015-0188-5","title":"Explaining, not just predicting, drives interest in personal genomics","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"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":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Human Genome Research Institute; Canadian Institutes of Health Research; Cancer Research UK; National Institutes of Health; National Center for Research Resources","keywords":"Human genetics; Genomics; Personal genomics; Genome Biology; Computational biology; Computational genomics; Bioinformatics; Biology; Computer science; Data science; Medicine; Genetics; Genome; Gene","score_opus":0.06731854416570486,"score_gpt":0.30841754674319716,"score_spread":0.24109900257749228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835942292","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":[0.9912917,0.0022705272,0.00066223164,0.0014896636,0.0005820475,0.00015617488,0.000018753806,0.000016154983,0.0035127546],"genre_scores_gemma":[0.99550706,0.00015751792,0.0006896168,0.00086879375,0.0014658171,0.000035658377,0.000188768,0.000030020128,0.0010567605],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891883,0.000046875233,0.00027620784,0.00036183218,0.00013414514,0.0002621017],"domain_scores_gemma":[0.99938434,0.0000131189745,0.0000883387,0.00026832768,0.00009187396,0.00015400354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041649208,0.00015687395,0.00017810497,0.00010939411,0.000038953465,0.000008790326,0.00023228905,0.00011408416,0.00009323646],"category_scores_gemma":[0.0002478958,0.00014579167,0.000032705837,0.000120467164,0.00019977616,0.0000038804783,0.00013240309,0.00014528888,0.000025050518],"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":[0.00047998395,0.00014802156,0.049873903,0.00006882831,0.00018595452,0.00006653502,0.035713647,0.0008783581,0.87305146,0.00021232445,0.030921187,0.008399765],"study_design_scores_gemma":[0.009608073,0.0029099125,0.06156368,0.00017115055,0.000112479036,0.00026636376,0.039638996,0.001499759,0.045720708,0.00023892216,0.8372287,0.001041221],"about_ca_topic_score_codex":0.000050707335,"about_ca_topic_score_gemma":0.00026053755,"teacher_disagreement_score":0.82733077,"about_ca_system_score_codex":0.00017906199,"about_ca_system_score_gemma":0.0002643214,"threshold_uncertainty_score":0.59452116},"labels":[],"label_agreement":null},{"id":"W1906870688","doi":"10.1186/s13073-015-0215-6","title":"Pharmacological inhibition of DNA-PK stimulates Cas9-mediated genome editing","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":270,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Genome editing; Human genetics; Computational biology; DNA; CRISPR; Genome; Biology; Genetics; Medicine; Bioinformatics; Gene","score_opus":0.02076915456627666,"score_gpt":0.31437981954354527,"score_spread":0.2936106649772686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1906870688","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":[0.9892768,0.0037989926,0.0048684236,0.000355033,0.00033018048,0.00018055338,0.000025026764,0.000025285166,0.0011396912],"genre_scores_gemma":[0.9972007,0.00015512054,0.0003361133,0.0002124415,0.0014584996,0.000010645405,0.00046531917,0.000019160521,0.00014200175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898326,0.00003164925,0.00030453262,0.00024408796,0.0001889847,0.00024746402],"domain_scores_gemma":[0.9994211,0.000018647672,0.00008229771,0.00016168872,0.00012501278,0.00019125853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003408541,0.00015246167,0.00022370236,0.000069147,0.000027907472,0.0000032898408,0.000104754516,0.00011390402,0.000109244706],"category_scores_gemma":[0.00022329304,0.00012749332,0.000041605068,0.00013183824,0.00011708818,0.0000024990609,0.00008694948,0.00009330381,0.000013437671],"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":[0.000038189555,0.000028399178,0.00032713462,0.000024211557,0.000040686915,0.000013916698,0.00021563696,0.00204823,0.99630064,0.000004571172,0.00070875545,0.00024960813],"study_design_scores_gemma":[0.007123748,0.0031319978,0.015207008,0.00007666642,0.0002367994,0.0001204578,0.0013832347,0.0013643721,0.8771063,0.0001347015,0.09343833,0.00067639723],"about_ca_topic_score_codex":0.0000148956215,"about_ca_topic_score_gemma":0.0000034928134,"teacher_disagreement_score":0.11919437,"about_ca_system_score_codex":0.000020396214,"about_ca_system_score_gemma":0.000037198824,"threshold_uncertainty_score":0.51990265},"labels":[],"label_agreement":null},{"id":"W1963682547","doi":"10.1186/gm404","title":"A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of General Medical Sciences; National Institutes of Health","keywords":"ΔF508; Cystic fibrosis transmembrane conductance regulator; Biogenesis; Biology; Genetics; Gene; Cystic fibrosis; Cell biology; Mutant","score_opus":0.057350505276233386,"score_gpt":0.33326642575812976,"score_spread":0.2759159204818964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963682547","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":[0.6723472,0.017076539,0.29844427,0.0060676998,0.0006455862,0.0043511004,0.000058396472,0.00014756634,0.0008616566],"genre_scores_gemma":[0.9692417,0.0001020861,0.024101159,0.00032391923,0.0039533903,0.0005056334,0.000094821204,0.00006129971,0.0016160398],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980557,0.000046033692,0.00041941766,0.0002886785,0.0004285409,0.0007616576],"domain_scores_gemma":[0.99868435,0.00023587306,0.000153762,0.00048494525,0.00014771122,0.00029336364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009310166,0.00022254468,0.00039595773,0.00011367523,0.00025116836,0.000013098839,0.00017796426,0.00006342523,0.00017949243],"category_scores_gemma":[0.0005199026,0.00013788503,0.00010257389,0.0003008736,0.00017454977,0.00014116663,0.000089966714,0.00020937862,0.00004575888],"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":[0.0010867278,0.0001570378,0.0013237199,0.00028439556,0.0002149523,0.0000032664907,0.0013014047,0.019547954,0.9450464,0.0003214194,0.0015635815,0.02914911],"study_design_scores_gemma":[0.0057584243,0.0015133555,0.023877691,0.0007401234,0.0006375723,0.00020328425,0.001310087,0.89734566,0.00911703,0.0010132231,0.0579231,0.000560436],"about_ca_topic_score_codex":0.000082391656,"about_ca_topic_score_gemma":0.000014471907,"teacher_disagreement_score":0.9359294,"about_ca_system_score_codex":0.0002202627,"about_ca_system_score_gemma":0.00007884516,"threshold_uncertainty_score":0.5622788},"labels":[],"label_agreement":null},{"id":"W1964372737","doi":"10.1186/gm502","title":"Sequence analysis of T-cell repertoires in health and disease","year":2013,"lang":"en","type":"review","venue":"Genome Medicine","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency; Canadian Institutes of Health Research; Genome British Columbia; Genome Canada; U.S. Department of Defense","keywords":"T-cell receptor; Repertoire; Computational biology; Biology; DNA sequencing; Single cell sequencing; Immune system; T cell; Genetics; Phenotype; DNA; Gene; Exome sequencing","score_opus":0.04440885406394328,"score_gpt":0.3067346418602856,"score_spread":0.2623257877963423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964372737","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":[0.0010927138,0.99738216,0.0000078765115,0.00032688526,0.00025625923,0.00059712166,0.00008822669,0.000022761627,0.00022600236],"genre_scores_gemma":[0.0014741669,0.991049,0.000021235384,0.0002121013,0.000030743784,0.00006538264,0.0014526638,0.000024305451,0.005670382],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970856,0.00057531154,0.0012413276,0.00059086253,0.00004869569,0.00045826],"domain_scores_gemma":[0.9981593,0.00028228055,0.0007299,0.00065736985,0.000047010446,0.00012416902],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004602489,0.00040515786,0.0033292659,0.0011527133,0.000070891416,0.0000031249178,0.00036377774,0.00034596378,0.0011456582],"category_scores_gemma":[0.00016794426,0.0002717153,0.00024947748,0.00093874306,0.0007798018,0.000028957495,0.00015315998,0.00050477573,0.00011623183],"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":[0.00008233197,0.00042873385,0.00034945202,0.03435102,0.0043684696,0.000090103415,0.0017771466,0.000002502529,0.06911729,0.0003092301,0.0022116438,0.88691205],"study_design_scores_gemma":[0.00059219927,0.00028502586,0.000043413842,0.0025509347,0.0021753868,0.000023360615,0.00012363771,0.0000010524094,0.000012465685,0.000034074666,0.9939187,0.00023970168],"about_ca_topic_score_codex":0.0011747928,"about_ca_topic_score_gemma":0.000038679136,"teacher_disagreement_score":0.9917071,"about_ca_system_score_codex":0.000094955154,"about_ca_system_score_gemma":0.0004743066,"threshold_uncertainty_score":0.9999735},"labels":[],"label_agreement":null},{"id":"W1971733608","doi":"10.1186/gm501","title":"Genomics and the classification of mental illness: focus on broader categories","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bipolar Disorder and Treatment","field":"Medicine","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":"Dalhousie University","funders":"Canada Research Chairs; Canadian Institutes of Health Research; European Commission; Nova Scotia Health Research Foundation","keywords":"Schizophrenia (object-oriented programming); Nosology; Bipolar disorder; Mental illness; Human genetics; Psychiatry; Classification of mental disorders; Medicine; Etiology; Genomics; Clinical psychology; Psychology; Genetics; Mental health; Prevalence of mental disorders; Biology; Cognition","score_opus":0.015774032138669666,"score_gpt":0.24640040107621047,"score_spread":0.2306263689375408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971733608","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":[0.9103123,0.021622168,0.00013657211,0.04992031,0.00017216246,0.0014001773,0.000008750302,0.000029324545,0.016398227],"genre_scores_gemma":[0.9974124,0.0014078396,0.000048050388,0.00029898508,0.00012258055,0.00006621611,0.00004499878,0.0000132210835,0.00058572576],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99929076,0.00003110079,0.00021714105,0.00015374713,0.00017948593,0.00012778463],"domain_scores_gemma":[0.9994818,0.00005909228,0.00007595337,0.00025436393,0.000055665478,0.00007313727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013976199,0.00011712395,0.00027226063,0.00006213551,0.00007873858,0.000004874652,0.000054074513,0.000043631375,0.0003580344],"category_scores_gemma":[0.00002652816,0.00005907631,0.00003296761,0.00008934365,0.00048731873,0.00002731697,0.000021894088,0.00009091115,0.00004097761],"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":[0.0024659808,0.0012847023,0.091531344,0.00052340195,0.0017799402,0.000009469298,0.08113399,0.0000035646856,0.20351592,0.08495991,0.004452047,0.52833974],"study_design_scores_gemma":[0.012024535,0.000937237,0.9522704,0.000054767846,0.00037222705,0.00006805289,0.006637805,0.00013433683,0.0017192649,0.0053927386,0.020248635,0.0001399979],"about_ca_topic_score_codex":0.00052449346,"about_ca_topic_score_gemma":0.000027023108,"teacher_disagreement_score":0.86073905,"about_ca_system_score_codex":0.00004626702,"about_ca_system_score_gemma":0.000025571704,"threshold_uncertainty_score":0.39202255},"labels":[],"label_agreement":null},{"id":"W1975891365","doi":"10.1186/gm32","title":"Applications of metabolomics and proteomics to the mdx mouse model of Duchenne muscular dystrophy: lessons from downstream of the transcriptome","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Duchenne muscular dystrophy; Proteomics; Dystrophin; Muscular dystrophy; Metabolomics; Biology; Transcriptome; Computational biology; mdx mouse; Functional genomics; Systems biology; Genomics; Bioinformatics; Skeletal muscle; DNA microarray; Genetics; Genome; Anatomy; Gene; Gene expression","score_opus":0.009506752867966557,"score_gpt":0.23864024719776822,"score_spread":0.22913349432980165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975891365","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":[0.97771955,0.001501906,0.01717043,0.0028361052,0.000016431859,0.00048197334,0.00019874601,0.000002273974,0.000072607756],"genre_scores_gemma":[0.9978652,0.00041290672,0.0011871578,0.0003370661,0.000057898436,0.000032246993,0.00005803972,0.000006433473,0.000043047516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993613,0.00003482784,0.00023493527,0.00018078786,0.00008328222,0.000104913765],"domain_scores_gemma":[0.9992657,0.00000871817,0.00011471436,0.0004955519,0.000074429154,0.000040919396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011868759,0.00009953167,0.000225812,0.000026486148,0.00004205136,8.3758107e-7,0.0002675525,0.00007561428,0.000005206646],"category_scores_gemma":[0.000031027343,0.00005793166,0.00006471831,0.00009798124,0.00026799724,0.0000017075151,0.000040183008,0.00006688499,2.0013765e-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":[0.00009256233,0.000057340196,0.000058184734,0.00001572505,0.00005506447,1.7027038e-8,0.0003573659,0.0019231298,0.99565417,0.00049358426,0.000030628384,0.0012622286],"study_design_scores_gemma":[0.002109925,0.0008585399,0.019279845,0.000028831571,0.00035689367,0.0000015022296,0.0007863561,0.00070068095,0.9669022,0.005486595,0.0032617263,0.00022688796],"about_ca_topic_score_codex":0.000097803124,"about_ca_topic_score_gemma":0.000020926569,"teacher_disagreement_score":0.028751953,"about_ca_system_score_codex":0.0000027282688,"about_ca_system_score_gemma":0.000039015646,"threshold_uncertainty_score":0.23623843},"labels":[],"label_agreement":null},{"id":"W1980684575","doi":"10.1186/gm9","title":"ASHG 2008 Annual Meeting: from enormous cohorts to individual genomes","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Human genetics; Library science; Political science; Medicine; Biology; Genetics; Computer science","score_opus":0.008550018830225756,"score_gpt":0.24209959595141825,"score_spread":0.2335495771211925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980684575","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":[0.96363705,0.028383255,0.00044058022,0.002728449,0.0003223826,0.00038992084,0.00049782003,0.00004026212,0.003560247],"genre_scores_gemma":[0.98566395,0.0011236744,0.0010695555,0.006265263,0.0031284883,0.000017445014,0.0019118647,0.000027419695,0.0007923442],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833274,0.000052174753,0.0003357904,0.0005409896,0.00032772368,0.00041060298],"domain_scores_gemma":[0.9987886,0.0000127180165,0.000079768375,0.00048714614,0.00015102063,0.00048075453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020465268,0.00024843327,0.00029184227,0.000108098226,0.00011396084,0.000016390652,0.00032023087,0.00014076999,0.00021871779],"category_scores_gemma":[0.00011925434,0.00023077863,0.00007088866,0.00013830989,0.000103213184,0.0000034528357,0.000122023106,0.00008211484,0.00005295033],"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":[0.0005245821,0.0004197002,0.012003436,0.000026390506,0.00021656086,0.000102046324,0.0021744287,0.0001280455,0.8312892,0.000037509082,0.12675913,0.026318973],"study_design_scores_gemma":[0.0038490612,0.0034144414,0.3108176,0.000059139722,0.00025971397,0.000036319412,0.0011052678,0.0000037501684,0.024459444,0.0014713021,0.65367144,0.00085251644],"about_ca_topic_score_codex":0.000054347704,"about_ca_topic_score_gemma":0.000026859663,"teacher_disagreement_score":0.80682975,"about_ca_system_score_codex":0.000019746622,"about_ca_system_score_gemma":0.00008188859,"threshold_uncertainty_score":0.94108796},"labels":[],"label_agreement":null},{"id":"W2006789471","doi":"10.1186/gm386","title":"Moving metabolomics from a data-driven science to an integrative systems science","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolomics; Systems biology; Profiling (computer programming); Human genetics; Data science; Computational biology; Medicine; Bioinformatics; Library science; Computer science; Biology; Genetics","score_opus":0.031467534861325946,"score_gpt":0.3136286120592372,"score_spread":0.2821610771979113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006789471","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":[0.9791961,0.009277415,0.0077727516,0.00026618715,0.0012771204,0.00029777753,0.00013669339,0.000017386175,0.0017585807],"genre_scores_gemma":[0.99130607,0.00044340873,0.005941656,0.00040588502,0.0015463645,0.000018187327,0.00016758122,0.000016194512,0.00015468136],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.997842,0.000042749143,0.00027129648,0.0007525678,0.00045831903,0.00063307275],"domain_scores_gemma":[0.99793696,0.000018076871,0.000108969354,0.001225854,0.0002380818,0.0004720365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018179503,0.00020772936,0.00034595333,0.0002740783,0.00035084432,0.00005259536,0.0014661662,0.0000457554,0.000026124279],"category_scores_gemma":[0.0008456152,0.00014709082,0.000020150084,0.0008470407,0.0010248462,0.000050770603,0.0011724328,0.00010507476,0.00001800403],"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":[0.000017933691,0.000032820455,0.0012913626,0.0000034103987,0.00003431135,6.340434e-7,0.0008096416,0.000028196871,0.9955699,0.0012320124,0.00020876173,0.00077103334],"study_design_scores_gemma":[0.002759766,0.0028126282,0.14748886,0.00015336445,0.0005470596,0.00007498648,0.025466153,0.004331476,0.2881257,0.00028518247,0.525783,0.0021718522],"about_ca_topic_score_codex":0.00034315986,"about_ca_topic_score_gemma":0.000040181803,"teacher_disagreement_score":0.7074442,"about_ca_system_score_codex":0.000061332925,"about_ca_system_score_gemma":0.00021226417,"threshold_uncertainty_score":0.59981894},"labels":[],"label_agreement":null},{"id":"W2007988561","doi":"10.1186/s13073-015-0138-2","title":"Rare variant association studies: considerations, challenges and opportunities","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":254,"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 de Montréal; Montreal Heart Institute","funders":"Genome Canada; Canadian Institutes of Health Research; Fondation Institut de Cardiologie de Montréal; Institut de Cardiologie de Montréal; National Heart, Lung, and Blood Institute; Génome Québec","keywords":"Genetic architecture; Genetic association; Genome-wide association study; Heritability; Computational biology; Biology; Trait; Context (archaeology); Genotyping; Exome; Genetics; In silico; Human genetics; Missing heritability problem; Genetic variants; Phenotype; Exome sequencing; Evolutionary biology; Computer science; Single-nucleotide polymorphism; Genotype; Gene","score_opus":0.16039338106416978,"score_gpt":0.3212143113594064,"score_spread":0.16082093029523664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007988561","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":[0.44202253,0.38505825,0.00067633594,0.14897166,0.000954878,0.00041419736,0.00003212488,0.000044816807,0.0218252],"genre_scores_gemma":[0.93371063,0.05642817,0.00090300554,0.0034684048,0.00087971037,0.000035785084,0.00010718793,0.000014253873,0.00445287],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990903,0.00016694018,0.0002311455,0.00020714261,0.000113942835,0.00019049711],"domain_scores_gemma":[0.9991767,0.00012496526,0.00013509532,0.00015808402,0.00028172243,0.0001234502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013072627,0.00010449221,0.00023339067,0.000040614057,0.000083222665,0.000004205633,0.00004125526,0.000118346856,0.000020052647],"category_scores_gemma":[0.003163445,0.00008581343,0.000017899105,0.000016142605,0.000081498976,0.000002563371,0.00006324642,0.0000522893,0.0000043663226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016036771,0.00025116318,0.016094254,0.0002844541,0.0032051879,0.00017194603,0.041034583,0.00041528937,0.034359623,0.04438925,0.828371,0.03126287],"study_design_scores_gemma":[0.0041532647,0.0022465205,0.063307524,0.00006181788,0.00025390703,0.00026331894,0.036778837,0.00009183875,0.00020945967,0.040504623,0.8514662,0.0006627139],"about_ca_topic_score_codex":0.0000055372225,"about_ca_topic_score_gemma":0.000022084061,"teacher_disagreement_score":0.49168807,"about_ca_system_score_codex":0.0000489767,"about_ca_system_score_gemma":0.00009105921,"threshold_uncertainty_score":0.37871677},"labels":[],"label_agreement":null},{"id":"W2022033819","doi":"10.1186/gm109","title":"Coming of age of personalized medicine: challenges ahead","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vlaamse regering","keywords":"Personalized medicine; Human genetics; Personal genomics; Genomics; Medicine; Sampling (signal processing); Precision medicine; Genomic medicine; Computational biology; Data science; Medical physics; Bioinformatics; Computer science; Biology; Genetics; Genome; Pathology; Gene","score_opus":0.07236609730581829,"score_gpt":0.33677247883700595,"score_spread":0.2644063815311877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022033819","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15758768,0.14195432,0.0031821942,0.6191175,0.0008243256,0.0012292265,0.000012838856,0.00013655491,0.075955376],"genre_scores_gemma":[0.9911661,0.0055204127,0.00055661396,0.0011723085,0.0006732666,0.0000022826507,0.000084431835,0.00001411837,0.000810429],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99799114,0.00005596594,0.00067800574,0.00024080089,0.00081071566,0.00022338991],"domain_scores_gemma":[0.99881446,0.00012538607,0.00025618097,0.00034369068,0.00023693925,0.00022336672],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010084437,0.00017059462,0.00089786283,0.00028590803,0.000035165453,6.490673e-7,0.00012613746,0.00021125718,0.0006467191],"category_scores_gemma":[0.00025450386,0.00010772467,0.00008719955,0.00032087724,0.0027143417,0.000022632676,0.000019876341,0.0002688469,0.0000031046836],"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":[0.0005358482,0.00032489377,0.00014688192,0.0015314398,0.00019122596,0.00011165639,0.018105239,0.0000020089806,0.78419477,0.061989937,0.00075655896,0.13210952],"study_design_scores_gemma":[0.03718217,0.02070009,0.60569125,0.010185463,0.0017586071,0.00044195115,0.012210536,0.0005427603,0.0049139727,0.05671764,0.24886617,0.000789389],"about_ca_topic_score_codex":0.000054786142,"about_ca_topic_score_gemma":0.0000048125066,"teacher_disagreement_score":0.83357847,"about_ca_system_score_codex":0.000034320507,"about_ca_system_score_gemma":0.000071765986,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W2031896302","doi":"10.1186/gm367","title":"A gene expression signature of emphysema-related lung destruction and its reversal by the tripeptide GHK","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Division of Graduate Education; British Columbia Lung Association; European Respiratory Society; National Science Foundation","keywords":"COPD; Gene expression; Gene expression profiling; Lung; Chronic bronchitis; Pathology; Gene signature; Medicine; Gene; Actin cytoskeleton; Transforming growth factor beta; Signal transduction; Biology; Cell biology; Cytoskeleton; Cell; Internal medicine; Genetics","score_opus":0.013266271655346492,"score_gpt":0.27830045661132946,"score_spread":0.26503418495598297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031896302","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":[0.9195859,0.07621683,0.000064555716,0.0018999048,0.00027362985,0.00090659433,0.000041362244,0.00004063385,0.0009705848],"genre_scores_gemma":[0.99614173,0.000730229,0.00014582838,0.00016095041,0.00063292286,0.00003103766,0.00015737362,0.000039001134,0.0019609337],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979366,0.00015536869,0.0004182638,0.00032163912,0.00068373955,0.00048436198],"domain_scores_gemma":[0.9986895,0.00013438762,0.0001785806,0.00040509188,0.00017596499,0.00041651767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000597724,0.00023599021,0.00045227617,0.00016144408,0.0001367859,0.000004258092,0.0001505106,0.00017280407,0.0008062819],"category_scores_gemma":[0.0002606222,0.00014568094,0.00007441068,0.00044036144,0.00035589447,0.00016051545,0.00011655296,0.0004979526,0.000013415075],"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":[0.00042678273,0.00012928185,0.0107685,0.00053833827,0.00014071784,0.000023149254,0.0017736224,0.0000034360653,0.9766896,0.00006470971,0.005223957,0.0042179013],"study_design_scores_gemma":[0.014645644,0.0008703441,0.81395584,0.0014021707,0.0013474842,0.0013372847,0.004152082,0.0009373997,0.14867073,0.0003844932,0.011632681,0.0006638062],"about_ca_topic_score_codex":0.00004202709,"about_ca_topic_score_gemma":5.487643e-7,"teacher_disagreement_score":0.82801884,"about_ca_system_score_codex":0.00020305852,"about_ca_system_score_gemma":0.00010157381,"threshold_uncertainty_score":0.88282216},"labels":[],"label_agreement":null},{"id":"W2033501549","doi":"10.1186/gm425","title":"Harm, hype and evidence: ELSI research and policy guidance","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Alberta","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health; Ewing Marion Kauffman Foundation","keywords":"Anecdote; Speculation; Harm; Genetic discrimination; Genetic testing; Engineering ethics; Positive economics; Political science; Economics; Law and economics; Medicine; Law; Finance","score_opus":0.16056040722352863,"score_gpt":0.3675787066107254,"score_spread":0.20701829938719676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033501549","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":[0.9146354,0.008267574,0.0000026733799,0.07532394,0.000021676768,0.00035728555,0.0000018923008,0.000022610551,0.0013669212],"genre_scores_gemma":[0.9936598,0.0022378722,0.00015038159,0.00046722053,0.00076899707,0.00003470609,0.0000034533753,0.000001449515,0.0026761144],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99823654,0.00013900465,0.0001814611,0.00037885262,0.0005531206,0.00051102246],"domain_scores_gemma":[0.99868417,0.0005480703,0.000022794567,0.00009823636,0.00028162156,0.00036509466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001034416,0.00010821699,0.00017066821,0.000050871007,0.00024873126,0.00007281782,0.0002844828,0.0000774326,0.0016032575],"category_scores_gemma":[0.0009531932,0.000037509813,0.000010106323,0.0005951335,0.000749726,0.00009169538,0.00032485285,0.00024149244,0.00021564921],"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":[0.000008407336,0.000013761686,0.0032755048,0.000018718869,0.0000039283027,0.0000038692106,0.0001926399,8.159156e-8,0.9255848,0.00040530352,0.0012252294,0.06926779],"study_design_scores_gemma":[0.00015816817,0.001076272,0.97722733,0.00006656155,0.0000026738985,0.000024886303,0.00048520422,0.000019855186,0.0014549912,0.006448487,0.012930694,0.000104875675],"about_ca_topic_score_codex":0.0026977062,"about_ca_topic_score_gemma":0.00007378908,"teacher_disagreement_score":0.9739518,"about_ca_system_score_codex":0.000030802476,"about_ca_system_score_gemma":0.000021317546,"threshold_uncertainty_score":0.9993094},"labels":[],"label_agreement":null},{"id":"W2038743372","doi":"10.1186/gm392","title":"Designing a post-genomics knowledge ecosystem to translate pharmacogenomics into public health action","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Pharmacogenomics; Action (physics); Corporate governance; Order (exchange); Knowledge management; Knowledge translation; Public relations; Sociology of scientific knowledge; Business; Political science; Sociology; Computer science; Social science; Bioinformatics; Biology","score_opus":0.038996043020684726,"score_gpt":0.3645750948087091,"score_spread":0.3255790517880244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038743372","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":[0.7354978,0.018235344,0.24183074,0.002509402,0.0010062159,0.0004831507,0.000019152723,0.000041908865,0.0003763348],"genre_scores_gemma":[0.9925679,0.0006941473,0.0034701782,0.0008984171,0.0019882142,0.000034479923,0.00016526692,0.000053532945,0.00012784405],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985822,0.00007363085,0.00034738315,0.00029299574,0.000102749014,0.0006010715],"domain_scores_gemma":[0.9989637,0.000012067376,0.00006933418,0.00028056643,0.000085062806,0.0005892279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086141285,0.00021867803,0.0002561837,0.00015229268,0.000125467,0.000012269528,0.00019466138,0.00009002287,0.00004331033],"category_scores_gemma":[0.00003950713,0.00020932035,0.00006232285,0.00017184255,0.000023610673,0.0000068629447,0.000064475695,0.00011056326,0.00006128175],"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":[0.000027773505,0.000038620186,0.00015132662,0.00010305772,0.00007240887,5.3630066e-7,0.00493807,0.00025812,0.96613204,0.000009595155,0.00039937356,0.02786909],"study_design_scores_gemma":[0.0011599183,0.0007737803,0.0013571111,0.00003520547,0.00004958656,0.00007981571,0.0015727336,0.00014308104,0.16815457,0.000005311769,0.82624245,0.00042644152],"about_ca_topic_score_codex":0.000026482116,"about_ca_topic_score_gemma":0.00010816671,"teacher_disagreement_score":0.8258431,"about_ca_system_score_codex":0.00013141111,"about_ca_system_score_gemma":0.00013449325,"threshold_uncertainty_score":0.8535836},"labels":[],"label_agreement":null},{"id":"W2044917691","doi":"10.1186/gm230","title":"Strengthening the reporting of genetic risk prediction studies: the GRIPS statement","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":46,"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 Ottawa","funders":"National Center for Research Resources; Centers for Disease Control and Prevention; U.S. Department of Health and Human Services; National Institutes of Health; Erasmus Universitair Medisch Centrum Rotterdam; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Checklist; Statement (logic); Multidisciplinary approach; Transparency (behavior); Medicine; Public health; Data science; Documentation; Computer science; Psychology; Pathology; Political science","score_opus":0.6095285284748437,"score_gpt":0.44983069680245447,"score_spread":0.15969783167238927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044917691","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":[0.9315535,0.032203212,0.008926636,0.019157486,0.0016091713,0.0013360579,0.00014903587,0.000055082135,0.0050098533],"genre_scores_gemma":[0.992691,0.0023302329,0.0019257205,0.0018059621,0.0007499529,0.00012261549,0.000010716671,0.000024108753,0.00033968952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9873824,0.00034182618,0.011481291,0.0003527871,0.00014435558,0.00029730273],"domain_scores_gemma":[0.9839251,0.00090761366,0.014242421,0.00072705967,0.00012292732,0.0000748584],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0452165,0.00015450305,0.00081285415,0.00014062031,0.00034016022,0.000008098843,0.00031831715,0.000049641247,0.00045544052],"category_scores_gemma":[0.013239852,0.000100779514,0.00008039124,0.00020685261,0.00027668706,0.00009523025,0.00007561473,0.00020711138,0.00011398245],"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":[0.000049251306,0.00014319921,0.6500672,0.00085372827,0.0014236432,0.0000053737945,0.29321453,0.001381238,0.0000465533,0.018692723,0.030403048,0.0037194875],"study_design_scores_gemma":[0.0012653474,0.0005928805,0.8012551,0.00026022497,0.00013393821,0.000020884756,0.07543748,0.0030195888,0.000016910635,0.02988225,0.08782541,0.00028995523],"about_ca_topic_score_codex":0.0018144164,"about_ca_topic_score_gemma":0.000116795956,"teacher_disagreement_score":0.21777704,"about_ca_system_score_codex":0.00022606949,"about_ca_system_score_gemma":0.00005992201,"threshold_uncertainty_score":0.99507207},"labels":[],"label_agreement":null},{"id":"W2049443570","doi":"10.1186/gm375","title":"The future of deciphering personal genomes? The flies (and yeast and worms) still have it","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Systems biology; Human genetics; Biology; Evolutionary biology; Zoology; Computational biology; Data science; Genetics; Computer science; Gene","score_opus":0.014884168153317478,"score_gpt":0.2674643845634774,"score_spread":0.2525802164101599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049443570","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":[0.88348955,0.10683042,0.00038550372,0.0072482503,0.00032718884,0.00026929687,0.000022275733,0.0000043776613,0.0014231332],"genre_scores_gemma":[0.9732308,0.0233365,0.00021257781,0.00048243444,0.0016086212,0.000008178973,0.000023205841,0.000010135769,0.0010875958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902076,0.000029035229,0.00021788891,0.000119327255,0.00028044893,0.00033255445],"domain_scores_gemma":[0.99942756,0.000044074866,0.00006672097,0.00021004856,0.00007291758,0.000178683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311571,0.00012014843,0.00013698744,0.000021665795,0.00015373288,0.000015419386,0.00018951527,0.00008618242,0.000032832962],"category_scores_gemma":[0.00009625956,0.000056965957,0.000035607027,0.000051936684,0.0008810784,0.0000037574446,0.00022388689,0.00012307506,0.000002870615],"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":[0.00036309092,0.000095521274,0.032258723,0.0005078997,0.00056206546,0.000002877921,0.03267459,0.0000033845001,0.35410663,0.00029714807,0.011070141,0.5680579],"study_design_scores_gemma":[0.0005948835,0.0003500226,0.042261116,0.000025078863,0.000034789056,0.000039897837,0.014874618,0.00012915109,0.0017820625,0.00004316431,0.93973905,0.0001261398],"about_ca_topic_score_codex":0.000010053722,"about_ca_topic_score_gemma":0.000040017134,"teacher_disagreement_score":0.9286689,"about_ca_system_score_codex":0.0000071181894,"about_ca_system_score_gemma":0.0000312387,"threshold_uncertainty_score":0.324637},"labels":[],"label_agreement":null},{"id":"W2049624178","doi":"10.1186/gm433","title":"Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Ontario Institute for Cancer Research","keywords":"Human genetics; Computational biology; Gene expression; Systems biology; Gene; Proteomics; Gene expression profiling; Bioinformatics; Biology; Computer science; Genetics","score_opus":0.01464467969579701,"score_gpt":0.25243872921950944,"score_spread":0.23779404952371244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049624178","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":[0.9903854,0.00023521077,0.007507308,0.000535181,0.00012979246,0.0010119898,0.000035958816,0.0000116202355,0.00014752381],"genre_scores_gemma":[0.9953994,0.000021612572,0.0025613701,0.0002531391,0.00020595631,0.0004760812,0.0009166711,0.000015083869,0.00015068814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998665,0.000060086888,0.00042088464,0.00035412138,0.0003268143,0.00017310366],"domain_scores_gemma":[0.9993008,0.000010995253,0.00016596109,0.00024235269,0.00017610421,0.00010380017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025298705,0.00012635233,0.00014936592,0.00017915395,0.000037855418,0.00000908585,0.00019456443,0.000067547706,0.00011647343],"category_scores_gemma":[0.00010312539,0.000104897525,0.00002340211,0.00021637008,0.00006497716,0.000008345321,0.00006503377,0.000064596235,0.000015966523],"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":[0.000037136586,0.00008647922,0.01752916,0.00003114363,0.000007836479,2.9776947e-7,0.00023028582,0.0007156932,0.9771261,0.000010875741,0.0019094243,0.002315517],"study_design_scores_gemma":[0.0008108124,0.0005696933,0.4618995,0.00006585704,0.000011374663,0.0000019776576,0.00027658377,0.00017243669,0.5349572,0.000100480174,0.0010259104,0.00010819902],"about_ca_topic_score_codex":0.000018601873,"about_ca_topic_score_gemma":0.0000011824254,"teacher_disagreement_score":0.44437033,"about_ca_system_score_codex":0.000025978714,"about_ca_system_score_gemma":0.000072449904,"threshold_uncertainty_score":0.4277597},"labels":[],"label_agreement":null},{"id":"W2050820276","doi":"10.1186/gm485","title":"Metagenomics for pathogen detection in public health","year":2013,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":284,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"British Columbia Centre for Disease Control","keywords":"Metagenomics; Infectious disease (medical specialty); Computational biology; DNA sequencing; Identification (biology); Microbiome; Public health; Biology; Genome; Pathogen; Data science; Bioinformatics; Disease; Medicine; Genetics; Computer science; Gene; Ecology","score_opus":0.11702637683396537,"score_gpt":0.342374881960861,"score_spread":0.22534850512689564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050820276","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":[0.000035417546,0.99451494,0.0015214136,0.0005105076,0.0005812995,0.002037589,0.00008205808,0.000024783918,0.00069201353],"genre_scores_gemma":[0.000044969376,0.99631965,0.0005430827,0.0003123024,0.00030449821,0.00043790464,0.00030459918,0.00004585717,0.0016871297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982986,0.00010845228,0.0006690665,0.00040739964,0.00009040987,0.00042606957],"domain_scores_gemma":[0.99908274,0.00006558611,0.0003650927,0.00030157497,0.0000081921235,0.00017678893],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006277926,0.0002714535,0.001042912,0.00016590768,0.00009902492,0.000022096836,0.00026466837,0.00013873448,0.0032716633],"category_scores_gemma":[0.000051165927,0.00020124749,0.00017701548,0.0003192908,0.00008914666,0.000113260096,0.00011274997,0.00025647235,0.00070704136],"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":[6.4794506e-7,0.000022660613,2.547319e-7,0.0008450181,0.000020796173,0.0000010389316,0.00013488728,4.967116e-7,0.0014649488,0.0000031469178,0.00041720516,0.9970889],"study_design_scores_gemma":[0.00015045726,0.0001304073,0.00007869562,0.0003677289,0.00006631462,0.00003642486,0.000029519859,0.0000038557714,7.378257e-7,0.000012700799,0.998965,0.00015812156],"about_ca_topic_score_codex":0.00076206424,"about_ca_topic_score_gemma":0.0005853007,"teacher_disagreement_score":0.99854785,"about_ca_system_score_codex":0.000971058,"about_ca_system_score_gemma":0.00005548015,"threshold_uncertainty_score":0.9976395},"labels":[],"label_agreement":null},{"id":"W2055980828","doi":"10.1186/gm206","title":"The pharmacogenetics of imanitib","year":2010,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Pharmacogenetics; Imatinib mesylate; Medicine; Imatinib; Myeloid leukemia; Tyrosine kinase; Tyrosine-kinase inhibitor; Pharmacology; Bioinformatics; Computational biology; Drug; Candidate gene; Pharmacogenomics; Gene; Biology; Genetics; Cancer research; Internal medicine; Genotype; Cancer; Receptor","score_opus":0.01540278393439104,"score_gpt":0.29502425981610886,"score_spread":0.2796214758817178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055980828","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":[0.9675268,0.0028514937,0.00003662723,0.0043551913,0.000732028,0.00042110868,0.0000070903966,0.000037238267,0.02403245],"genre_scores_gemma":[0.994327,0.0007433696,0.00040827144,0.00042708995,0.00086065347,0.000015218295,0.000025962925,0.000023394394,0.0031690106],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989418,0.000016575697,0.0003059862,0.00015720168,0.00033417653,0.00024430268],"domain_scores_gemma":[0.99899065,0.0001380126,0.00010105468,0.0004917221,0.00012777976,0.00015076398],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029613223,0.00012865844,0.0002572059,0.000058347636,0.000086869004,0.000002653056,0.00015722896,0.00005159866,0.0010830933],"category_scores_gemma":[0.0001643897,0.000071008646,0.00005279116,0.00015257651,0.00043677734,0.000012774975,0.000043198954,0.00027782086,0.0000711123],"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":[0.00016059943,0.0001107797,0.008292252,0.000087576096,0.0002469657,0.00007990867,0.00068871235,0.000001203373,0.9487491,0.00079900183,0.002957283,0.037826587],"study_design_scores_gemma":[0.012325043,0.0011643721,0.13792904,0.00009181112,0.0007710665,0.00061250554,0.0004121114,0.00015825962,0.036872685,0.00044430196,0.8090169,0.00020191599],"about_ca_topic_score_codex":0.000057194964,"about_ca_topic_score_gemma":0.000028800001,"teacher_disagreement_score":0.91187644,"about_ca_system_score_codex":0.00007423006,"about_ca_system_score_gemma":0.00017880919,"threshold_uncertainty_score":0.99983007},"labels":[],"label_agreement":null},{"id":"W2064957473","doi":"10.1186/gm376","title":"Inferring novel gene-disease associations using Medical Subject Heading Over-representation Profiles","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"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 Toronto; Ontario Institute for Cancer Research; Child and Family Research Institute; University of British Columbia","funders":"National Institute of General Medical Sciences; Michael Smith Health Research BC; Canadian Institutes of Health Research; Government of Ontario; Ontario Institute for Cancer Research","keywords":"Disease; Similarity (geometry); MEDLINE; Computer science; Computational biology; Identification (biology); Health informatics; Informatics; Representation (politics); Subject (documents); Gene Annotation; Bioinformatics; Gene; Medicine; Artificial intelligence; Biology; Genetics; Genome; Pathology","score_opus":0.06901671946663247,"score_gpt":0.36249020228543427,"score_spread":0.2934734828188018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064957473","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":[0.96279943,0.0030643628,0.031637926,0.0009890964,0.00071782526,0.00015473124,0.000029899917,0.000048133785,0.000558596],"genre_scores_gemma":[0.9936135,0.00009354115,0.0025436697,0.00056595326,0.0025604477,0.00001604832,0.00038220736,0.000021556849,0.00020308785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853516,0.000079321675,0.00028603454,0.0002580995,0.0004313912,0.00040997294],"domain_scores_gemma":[0.99910504,0.00006738014,0.0001132402,0.00024372466,0.000058253885,0.00041235442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311639,0.0001531348,0.0002075572,0.00008487146,0.00014805133,0.000009540857,0.00016886431,0.00018153849,0.00012110647],"category_scores_gemma":[0.0022649292,0.00012790828,0.00006034444,0.00017396579,0.00019281649,0.000007703784,0.00012784432,0.00013486976,0.0000067692204],"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":[0.000045511893,0.00015084058,0.18749383,0.000039235023,0.0001176914,0.0000054941615,0.00047090172,0.00005422397,0.80386776,0.0001687455,0.0006831624,0.0069026365],"study_design_scores_gemma":[0.0050137443,0.0004607175,0.9016755,0.00021994981,0.00032686113,0.00012529701,0.00086803583,0.0036706633,0.02908508,0.00018265149,0.057449754,0.0009217104],"about_ca_topic_score_codex":0.00011409437,"about_ca_topic_score_gemma":0.000010698454,"teacher_disagreement_score":0.77478266,"about_ca_system_score_codex":0.00004939858,"about_ca_system_score_gemma":0.00012427752,"threshold_uncertainty_score":0.5215948},"labels":[],"label_agreement":null},{"id":"W2075829691","doi":"10.1186/gm194","title":"Stem cell banking: between traceability and identifiability","year":2010,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Stem Cell Network","keywords":"Stem cell; Traceability; Tissue bank; Context (archaeology); Business; Lagging; Harmonization; Regenerative medicine; Biobank; Biotechnology; Computer science; Medicine; Biology; Bioinformatics; Pathology","score_opus":0.025720435215581188,"score_gpt":0.2886872239625055,"score_spread":0.2629667887469243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075829691","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":[0.9671497,0.00054108026,0.0003858253,0.028180368,0.0004331542,0.00042082169,0.00000799042,0.00009323333,0.00278786],"genre_scores_gemma":[0.99732596,0.00003918205,0.0004033971,0.00031202027,0.0009505028,0.0000062935997,0.00005327856,0.000015764126,0.0008936312],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983954,0.000051628725,0.00042462442,0.00040395165,0.00048204427,0.00024233777],"domain_scores_gemma":[0.998734,0.00016004668,0.00009258637,0.0004717854,0.00013791499,0.0004036747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018054913,0.0001538979,0.00041869713,0.000099731034,0.00010966331,0.000009869909,0.00008996361,0.00029916034,0.00080651353],"category_scores_gemma":[0.00005716713,0.000103782935,0.000050384417,0.00022278665,0.0021745248,0.000044519213,0.00005751877,0.00075462915,0.00001740033],"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":[0.0001443346,0.00039673803,0.2361312,0.0020184156,0.00011059991,0.000038914903,0.005622115,4.8615226e-7,0.51872444,0.0024773974,0.0006242682,0.2337111],"study_design_scores_gemma":[0.0016838871,0.00033373016,0.9593931,0.0000448297,0.00017565713,0.000029274312,0.00020847844,0.00010314002,0.0011326013,0.007406266,0.029352779,0.0001362647],"about_ca_topic_score_codex":0.000054690296,"about_ca_topic_score_gemma":0.000017256365,"teacher_disagreement_score":0.7232619,"about_ca_system_score_codex":0.00003016159,"about_ca_system_score_gemma":0.000078545374,"threshold_uncertainty_score":0.8830757},"labels":[],"label_agreement":null},{"id":"W2077786918","doi":"10.1186/s13073-014-0104-4","title":"Stopping outbreaks with real-time genomic epidemiology","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Centre for Disease Control","funders":"","keywords":"Outbreak; Genomics; Epidemiology; Transmission (telecommunications); Public health; Data science; Molecular epidemiology; Genome; Human genetics; Medicine; Computational biology; Biology; Genetics; Computer science; Virology; Telecommunications; Gene; Pathology; Genotype","score_opus":0.012693181762310482,"score_gpt":0.25662904088670163,"score_spread":0.24393585912439114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077786918","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":[0.9733342,0.0006106901,0.00865959,0.0011546239,0.00015328317,0.00018117021,0.000005395355,0.00003141923,0.015869655],"genre_scores_gemma":[0.9889021,0.00040910195,0.004005862,0.0011100913,0.00140026,0.0000067052915,0.0002270315,0.000046419715,0.0038924161],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984942,0.00017445127,0.00035495052,0.00047568177,0.000092324786,0.00040839682],"domain_scores_gemma":[0.9989202,0.00007164237,0.00018001291,0.0006203172,0.00006415411,0.00014366691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008534338,0.00021093356,0.00042635994,0.00005325875,0.00007555561,0.0000039355623,0.0002660565,0.00014516359,0.00019016616],"category_scores_gemma":[0.0003130988,0.0001520534,0.000042486045,0.000069687056,0.0003571931,0.000002119257,0.00008365875,0.00009224348,0.00010224217],"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":[0.00013644643,0.000012839498,0.01999743,0.000024782106,0.000060951978,0.000004198172,0.000058573245,0.00004137794,0.9768436,0.00026599257,0.0012803449,0.0012734638],"study_design_scores_gemma":[0.0029087898,0.0029553706,0.6423541,0.00013828411,0.00013741538,0.0002079061,0.00017892352,0.00018814944,0.005080623,0.00050528446,0.34453657,0.00080859987],"about_ca_topic_score_codex":0.000058547,"about_ca_topic_score_gemma":0.00001647041,"teacher_disagreement_score":0.97176296,"about_ca_system_score_codex":0.000026486072,"about_ca_system_score_gemma":0.000042932712,"threshold_uncertainty_score":0.62005574},"labels":[],"label_agreement":null},{"id":"W2085252090","doi":"10.1186/gm522","title":"Genomics for clinical utility: the future is near","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":4,"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":"Centre hospitalier universitaire Sainte-Justine; Government of Alberta; University of Washington","keywords":"Pharmacogenomics; Genomics; Personal genomics; Human genetics; Computational biology; Genome Biology; Genome; Medicine; Data science; Bioinformatics; Biology; Genetics; Computer science; Gene","score_opus":0.10762057128686517,"score_gpt":0.42397305933208923,"score_spread":0.3163524880452241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085252090","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":[0.667338,0.012601927,0.0064318697,0.28866875,0.004243181,0.0030665712,0.000030321864,0.00015991478,0.017459456],"genre_scores_gemma":[0.8556921,0.006133074,0.0028299792,0.08862376,0.03438785,0.00013121129,0.0001355151,0.00009184109,0.011974706],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972073,0.00011867902,0.00066275964,0.00056398544,0.0007921137,0.00065518875],"domain_scores_gemma":[0.99722755,0.0006185881,0.00012933022,0.0010520541,0.00034008175,0.00063237787],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005750967,0.00022653371,0.00069875305,0.000105822284,0.00034743533,0.000017657518,0.00046069964,0.0001745457,0.00092360255],"category_scores_gemma":[0.0013276606,0.00011603641,0.00019267978,0.00041475557,0.0015196312,0.000040345334,0.00009157827,0.00054744625,0.00012400633],"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":[0.0014093437,0.00033952785,0.034428257,0.00048354702,0.0002904617,0.000036987003,0.010561627,0.000001104355,0.003938313,0.0013633193,0.26557443,0.6815731],"study_design_scores_gemma":[0.0039053264,0.0017073939,0.08898464,0.000050696235,0.00017693368,0.000066910834,0.001363474,0.0017110017,0.00004799948,0.00042922923,0.90144813,0.000108285065],"about_ca_topic_score_codex":0.00003740463,"about_ca_topic_score_gemma":0.000014475724,"teacher_disagreement_score":0.6814648,"about_ca_system_score_codex":0.000058734182,"about_ca_system_score_gemma":0.00034036898,"threshold_uncertainty_score":0.9999897},"labels":[],"label_agreement":null},{"id":"W2098318720","doi":"10.1186/gm326","title":"Drug repositioning for personalized medicine","year":2012,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":255,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Drug repositioning; Personalized medicine; Medicine; Drug discovery; Precision medicine; Pharmacogenomics; Clinical trial; Disease; Drug; Drug development; Bioinformatics; Computational biology; Pharmacology; Biology; Pathology","score_opus":0.0383589223628604,"score_gpt":0.3164869214553351,"score_spread":0.27812799909247465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098318720","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":[0.0000017924195,0.9870338,0.006888132,0.00030568833,0.0008691024,0.0010363404,0.000056725763,0.000018584897,0.003789857],"genre_scores_gemma":[0.000019043471,0.97355115,0.0008433039,0.0004939061,0.008307408,0.00022334179,0.0053854114,0.000087146684,0.011089311],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786115,0.000072587376,0.00092589436,0.00042794002,0.00019776003,0.00051465223],"domain_scores_gemma":[0.9983816,0.000068185494,0.00058301125,0.0006197992,0.000109801535,0.00023758017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010270278,0.0004965268,0.0014595735,0.00012738617,0.00016841073,0.000010202378,0.00037688258,0.00038167008,0.00023910959],"category_scores_gemma":[0.00008022733,0.00034078225,0.00033464344,0.00014241936,0.00031993396,0.0000029525934,0.00012219837,0.00023800474,0.000028201875],"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":[0.000042071075,0.000029356133,9.919602e-7,0.013447826,0.0006844399,0.0000037115888,0.00060662127,0.0000014558907,0.00024522597,0.0011272471,0.042003416,0.9418076],"study_design_scores_gemma":[0.0007667964,0.00024120214,6.6031754e-7,0.002718701,0.0013372736,0.0001398545,0.00008714356,0.000004860082,0.0000015872175,0.00008840886,0.99425465,0.0003588913],"about_ca_topic_score_codex":0.00001122834,"about_ca_topic_score_gemma":0.000004253197,"teacher_disagreement_score":0.9522512,"about_ca_system_score_codex":0.000052797335,"about_ca_system_score_gemma":0.0001194422,"threshold_uncertainty_score":0.9999044},"labels":[],"label_agreement":null},{"id":"W2098633524","doi":"10.1186/s13073-015-0128-4","title":"Development of cancer genetic services in the UK: A national consultation","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Wellcome Trust","keywords":"Genetic testing; Service delivery framework; Medicine; Workforce; Population; Human genetics; Consistency (knowledge bases); Service (business); Business; Genetics; Computer science; Political science; Biology; Gene; Environmental health; Marketing","score_opus":0.029169750756690607,"score_gpt":0.31959030634190994,"score_spread":0.29042055558521934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098633524","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":[0.9923746,0.0052769333,0.00040742438,0.00071683474,0.000111989044,0.00015749603,0.000006862261,0.0000028276022,0.0009450077],"genre_scores_gemma":[0.99508166,0.000086532564,0.003663109,0.0007224348,0.00021568387,0.00008516081,0.0000729342,0.000007220824,0.00006524237],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99928844,0.000028069348,0.00021083033,0.0001271499,0.00026027215,0.0000852196],"domain_scores_gemma":[0.9995548,0.000011639663,0.00007500469,0.00010525891,0.00022708361,0.000026205867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036021022,0.00006253299,0.000073556774,0.000049007227,0.0000219345,0.0000025091022,0.00015198003,0.000037734033,0.00003371367],"category_scores_gemma":[0.000050274528,0.00004405492,0.000008947367,0.00015047146,0.00006542572,0.0000011338255,0.000025579617,0.000032603384,0.000004269604],"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":[0.00020048187,0.00012169502,0.032738492,0.00016073906,0.00019163784,0.0000046604846,0.06383166,0.0073107616,0.86250657,0.0001697758,0.004474369,0.02828916],"study_design_scores_gemma":[0.0060568824,0.0003541272,0.49167565,0.0001224134,0.00006423913,0.000030762996,0.022733094,0.00033718915,0.04319056,0.00082365586,0.4342132,0.00039824395],"about_ca_topic_score_codex":0.00009846001,"about_ca_topic_score_gemma":0.0012348121,"teacher_disagreement_score":0.819316,"about_ca_system_score_codex":0.00006520386,"about_ca_system_score_gemma":0.00047153144,"threshold_uncertainty_score":0.17965075},"labels":[],"label_agreement":null},{"id":"W2104445336","doi":"10.1186/gm566","title":"Genetics and genomics of Parkinson’s disease","year":2014,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":182,"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 British Columbia","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"LRRK2; Neuroscience; Parkinson's disease; Neuroprotection; Disease; Neurochemistry; Parkinsonism; Medicine; Neurology; Lewy body; Alpha-synuclein; Neurodegeneration; Bioinformatics; Dementia with Lewy bodies; Biology; Autophagy; Dementia; Genetics; Pathology","score_opus":0.041268053248844444,"score_gpt":0.31702166757217576,"score_spread":0.27575361432333134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104445336","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":[0.0004915968,0.9969177,0.00012897239,0.00010191026,0.00024188177,0.0012666186,0.00019951875,0.000037585825,0.00061418465],"genre_scores_gemma":[0.0008778301,0.9961156,0.0005253187,0.00019129913,0.00073533296,0.000095715804,0.000656973,0.00011342596,0.00068849063],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99758613,0.000097247794,0.0008616076,0.0006676081,0.0004108622,0.00037655095],"domain_scores_gemma":[0.99754035,0.000096442294,0.00050498836,0.00084373105,0.000089129724,0.0009253249],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002836005,0.0006048142,0.0030923241,0.0003663469,0.000058314854,0.000006730025,0.00018112801,0.00021769365,0.00023408962],"category_scores_gemma":[0.0000958256,0.00041747847,0.00034629458,0.0002204594,0.00025448803,0.000015303967,0.00012765234,0.00023296435,0.00005511476],"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":[0.000075600125,0.00018325301,0.00020721587,0.041207742,0.00082610996,0.00029757482,0.00008555076,2.6182693e-7,0.000010979313,0.00012899771,0.00027246648,0.95670426],"study_design_scores_gemma":[0.0014242323,0.00044892004,0.001578994,0.0076530003,0.009222106,0.00009749959,0.000010369345,0.000011763768,7.414054e-7,0.00013109317,0.97914374,0.00027753288],"about_ca_topic_score_codex":0.000011647058,"about_ca_topic_score_gemma":0.000001261206,"teacher_disagreement_score":0.9788713,"about_ca_system_score_codex":0.0001611696,"about_ca_system_score_gemma":0.00042355707,"threshold_uncertainty_score":0.9998277},"labels":[],"label_agreement":null},{"id":"W2105435914","doi":"10.1186/gm28","title":"Gene-gene and gene-environment interactions: new insights into the prevention, detection and management of coronary artery disease","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Ontario Genomics Institute; Genome Canada; Heart and Stroke Foundation of Canada; Ontario Genomics; Pfizer","keywords":"Genome-wide association study; Gene; Computational biology; Genetic association; Genetics; Human genetics; Biology; Bioinformatics; Single-nucleotide polymorphism; Genotype","score_opus":0.010332442646283566,"score_gpt":0.24496258148446806,"score_spread":0.2346301388381845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105435914","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":[0.96737695,0.016904576,0.013259088,0.0020140747,0.000087866894,0.00027182302,0.0000018957594,0.0000042271095,0.00007951637],"genre_scores_gemma":[0.9786476,0.01837859,0.001438617,0.000416033,0.00021230707,0.000018197932,0.00007875611,0.000006525985,0.00080336485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99923706,0.00007003192,0.00025009827,0.00024811187,0.00008048258,0.00011421452],"domain_scores_gemma":[0.9995139,0.000011442145,0.00011302972,0.00023913973,0.000019189236,0.00010328454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016354647,0.00010989349,0.00013488186,0.000038872502,0.000102212005,0.0000033440108,0.0000689853,0.000044743694,0.00001657823],"category_scores_gemma":[0.000017114424,0.00007946216,0.00002974786,0.000044010445,0.000097591976,0.0000035606386,0.00006471935,0.00004617793,0.0000019308063],"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":[0.0001800803,0.00010974345,0.006146689,0.000038584563,0.00032538676,0.0000107514425,0.0008497773,0.00033173463,0.8669833,0.000055883454,0.00044484073,0.12452326],"study_design_scores_gemma":[0.0009285264,0.0007236964,0.97010165,0.000022925453,0.00019715818,0.000036288275,0.0003007496,0.00011160931,0.0053866375,0.003206169,0.018847916,0.00013666035],"about_ca_topic_score_codex":0.0000149923035,"about_ca_topic_score_gemma":0.000016155196,"teacher_disagreement_score":0.963955,"about_ca_system_score_codex":0.000018907878,"about_ca_system_score_gemma":0.0000142243125,"threshold_uncertainty_score":0.32403728},"labels":[],"label_agreement":null},{"id":"W2107751484","doi":"10.1186/gm62","title":"Copy number variations and cancer","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":403,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Copy-number variation; Biology; Genetics; Structural variation; Human genome; Genome; Single-nucleotide polymorphism; Genome instability; Genome-wide association study; Germline; Computational biology; Genomics; SNP; Human genetics; Cancer; SNP array; Gene; DNA; Genotype; DNA damage","score_opus":0.008173411182433884,"score_gpt":0.257472171987332,"score_spread":0.24929876080489813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107751484","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":[0.9670286,0.0034686197,0.0033842435,0.0069702207,0.00021863688,0.0001611206,0.00003868566,0.00001944392,0.01871044],"genre_scores_gemma":[0.9938902,0.0008573741,0.0003858207,0.0012970832,0.0006062486,0.000010060472,0.00008516151,0.0000057015495,0.0028623366],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995307,0.000014091298,0.0001195792,0.00015088008,0.00005874589,0.00012603427],"domain_scores_gemma":[0.99971926,0.000003842378,0.000034922337,0.0001367651,0.000044115914,0.00006108146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007505079,0.0000795194,0.00009187824,0.00001735671,0.00007844942,0.000006476229,0.000060284437,0.00004909667,0.00046699026],"category_scores_gemma":[0.000015414991,0.00006588125,0.000015352767,0.00004937303,0.000045569333,0.0000020417212,0.000020574924,0.000035133864,0.0000119790475],"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":[0.00010264176,0.00013812183,0.09411254,0.000044174707,0.00021089453,0.000010051978,0.002511462,0.0001402667,0.83827615,0.027448138,0.014264106,0.02274144],"study_design_scores_gemma":[0.0020628315,0.0006970199,0.38072327,0.00002979198,0.00011678651,0.00011574358,0.00041386383,0.00004262182,0.009895293,0.0030163894,0.6024475,0.0004388693],"about_ca_topic_score_codex":0.00006403786,"about_ca_topic_score_gemma":0.000011933175,"teacher_disagreement_score":0.8283809,"about_ca_system_score_codex":0.000009111981,"about_ca_system_score_gemma":0.000030700125,"threshold_uncertainty_score":0.5113216},"labels":[],"label_agreement":null},{"id":"W2108134720","doi":"10.1186/gm441","title":"Protein-protein interaction networks: probing disease mechanisms using model systems","year":2013,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":202,"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 Toronto","funders":"","keywords":"Proteomics; Protein–protein interaction; Computational biology; Systems biology; Disease; Human genetics; Protein Interaction Networks; Bioinformatics; Biology; Medicine; Genetics; Pathology; Gene","score_opus":0.043665718608677864,"score_gpt":0.2929679818395807,"score_spread":0.24930226323090288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108134720","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":[0.000036205878,0.7523728,0.24381343,0.000016693068,0.00045721882,0.003054728,0.000025425617,0.000023967372,0.00019953947],"genre_scores_gemma":[0.00096340425,0.9884893,0.0025894088,0.00007670052,0.0026316603,0.00091876596,0.0016104841,0.00016871358,0.0025516038],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974027,0.00012469821,0.0010570728,0.00060575077,0.00024824325,0.00056148326],"domain_scores_gemma":[0.9978818,0.000008463777,0.0008097624,0.0008289815,0.000121319594,0.00034962487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048266907,0.0006624504,0.0012247902,0.00015373866,0.00015755183,0.000072741495,0.00045512005,0.00050801534,0.00003623371],"category_scores_gemma":[0.000035314304,0.0004945128,0.00028236036,0.00017020348,0.0000911907,0.000011079456,0.00029049176,0.00045782825,0.00003315188],"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":[0.00016125853,0.00020812947,1.7375014e-7,0.074104704,0.0019853264,0.000057159355,0.00023102139,0.14234403,0.022830894,0.004898393,0.0027243223,0.7504546],"study_design_scores_gemma":[0.00043519455,0.00023998717,3.4379365e-8,0.018099595,0.0007897467,0.00006689535,0.00007365639,0.2421592,0.000009293599,0.00032716597,0.7368684,0.0009308462],"about_ca_topic_score_codex":0.000030732062,"about_ca_topic_score_gemma":0.0000013399059,"teacher_disagreement_score":0.74952376,"about_ca_system_score_codex":0.00014297152,"about_ca_system_score_gemma":0.00028464664,"threshold_uncertainty_score":0.9997507},"labels":[],"label_agreement":null},{"id":"W2108528044","doi":"10.1186/gm412","title":"Constructing narratives of heroism and villainy: case study of Myriad's BRACAnalysis® compared to Genentech's Herceptin®","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"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 Human Genome Research Institute; National Institutes of Health; University of Alberta; Ewing Marion Kauffman Foundation","keywords":"Lawsuit; Narrative; Intellectual property; HERO; Law; Copyright infringement; Medicine; Political science; Literature; Art","score_opus":0.01823981159026073,"score_gpt":0.2959979790097871,"score_spread":0.27775816741952636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108528044","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":[0.997087,0.0007610986,0.0007560806,0.00038283717,0.00007991874,0.0004932586,0.000009488811,0.0000050676713,0.00042526468],"genre_scores_gemma":[0.9974334,0.00002059994,0.0021652312,0.00008677821,0.00014734706,0.000039049362,0.000019705692,0.000014624833,0.000073253585],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.9989238,0.00008226753,0.00040885506,0.00029277877,0.0001509719,0.00014136391],"domain_scores_gemma":[0.99910367,0.000018251885,0.00018640872,0.00033908524,0.0002559818,0.00009662495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019942748,0.00013446288,0.00033645672,0.000112996786,0.000053711,0.0000045533484,0.000118476164,0.000052950854,0.00017463265],"category_scores_gemma":[0.00006698532,0.000115583454,0.000028390743,0.00021542243,0.00021860219,0.0000031435932,0.00011188745,0.000054933236,0.0000015674781],"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":[0.000029742669,0.00008538273,0.018925989,0.00004241964,0.00028976417,0.000022336455,0.016799543,0.00023161442,0.9560209,0.0000060415327,0.00031548348,0.007230764],"study_design_scores_gemma":[0.0042783087,0.003032852,0.016228048,0.00007219942,0.00024799458,0.00095740857,0.9317136,0.00013996172,0.041252665,0.00009412763,0.0015292852,0.00045357298],"about_ca_topic_score_codex":0.001118707,"about_ca_topic_score_gemma":0.00091369805,"teacher_disagreement_score":0.914914,"about_ca_system_score_codex":0.00003091897,"about_ca_system_score_gemma":0.000046921323,"threshold_uncertainty_score":0.47133565},"labels":[],"label_agreement":null},{"id":"W2109459651","doi":"10.1186/gm281","title":"Identification of cis-regulatory sequence variations in individual genome sequences","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Michael Smith Health Research BC","keywords":"Computational biology; Genetics; Biology; Gene; Genome; Regulatory sequence; Human genetics; Human genome; DNA sequencing; Identification (biology); DNA binding site; Transcription factor; Promoter; Gene expression","score_opus":0.03589612988467661,"score_gpt":0.27252973102605854,"score_spread":0.23663360114138193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109459651","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":[0.99238104,0.0025169852,0.00374106,0.0001658021,0.00022043496,0.0002696036,0.00004007926,0.0000118238895,0.0006531979],"genre_scores_gemma":[0.9985766,0.0002459494,0.00032059927,0.000050720104,0.00023328155,0.00002649844,0.00033383185,0.000014412144,0.00019812064],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99875206,0.00006123132,0.0004921088,0.00030118204,0.00022002768,0.00017342105],"domain_scores_gemma":[0.9991888,0.000008071076,0.00024917148,0.0003841554,0.00011313752,0.00005667749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005448428,0.00012005575,0.0001685514,0.00018040952,0.00003342632,0.000003383223,0.00023514833,0.00013789239,0.00013832084],"category_scores_gemma":[0.00006817211,0.000116584815,0.00003534129,0.0003031833,0.00022553718,0.000008675079,0.00005159804,0.000073471354,0.000008696196],"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":[0.000029442532,0.000029182986,0.0018118136,0.000019308356,0.00003996529,0.0000012113721,0.0012085324,0.0002619298,0.9946814,0.0003165923,0.00002617001,0.0015744327],"study_design_scores_gemma":[0.0011657685,0.0005365105,0.81295013,0.000058321468,0.00010144912,0.00003031275,0.00040238412,0.00017829282,0.18075578,0.0016976987,0.0018032019,0.00032014702],"about_ca_topic_score_codex":0.00013784519,"about_ca_topic_score_gemma":0.00009844563,"teacher_disagreement_score":0.8139256,"about_ca_system_score_codex":0.00004903627,"about_ca_system_score_gemma":0.00012354061,"threshold_uncertainty_score":0.47541907},"labels":[],"label_agreement":null},{"id":"W2110935876","doi":"10.1186/gm542","title":"Interrogating causal pathways linking genetic variants, small molecule metabolites, and circulating lipids","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill Genome Centre; McGill University; Memorial University of Newfoundland","funders":"National Eye Institute; Weill Cornell Medical College; National Institutes of Health; Helmholtz Zentrum München; National Institute for Health and Care Research; Bundesministerium für Bildung und Forschung; King's College London; Münchner Zentrum für Gesundheitswissenschaften; Weill Cornell Medicine - Qatar; Wellcome Trust; Qatar Foundation; Helsingin Yliopisto; Oak Foundation","keywords":"Mendelian randomization; Metabolome; Biology; Metabolite; Single-nucleotide polymorphism; Genetics; Metabolomics; Quantitative trait locus; Computational biology; Bioinformatics; Genotype; Biochemistry; Gene; Genetic variants","score_opus":0.016140009915234572,"score_gpt":0.226118166941261,"score_spread":0.20997815702602643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110935876","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":[0.96271724,0.013286516,0.020310342,0.00024156657,0.0003218653,0.00016850229,0.000007397355,0.000025456833,0.0029211044],"genre_scores_gemma":[0.98940164,0.00090191833,0.0072273538,0.00061360706,0.00158102,0.000016548849,0.000084151834,0.000038512197,0.00013524164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984425,0.000102531216,0.0003853979,0.00052148005,0.00014716342,0.00040097642],"domain_scores_gemma":[0.9992139,0.000037613863,0.00015654747,0.0003647671,0.000083401486,0.00014381373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006023363,0.00025452115,0.00039536753,0.00010536056,0.0001753209,0.000023855437,0.00018002212,0.00010849441,0.00003071862],"category_scores_gemma":[0.00043777723,0.00021713921,0.000054564334,0.00014677618,0.00013800236,0.0000027908143,0.00028450217,0.0001494319,0.0000038359058],"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":[0.000010127582,0.000014677637,0.0021451463,0.00005432658,0.00011291951,0.0000044030776,0.00042362252,0.000017447612,0.98865026,0.0010453678,0.000022543349,0.0074991565],"study_design_scores_gemma":[0.0191977,0.008210505,0.40368167,0.00091810094,0.002200586,0.0012653235,0.006513863,0.014105533,0.26598355,0.010030859,0.26229104,0.0056012734],"about_ca_topic_score_codex":0.0000431391,"about_ca_topic_score_gemma":0.000039102702,"teacher_disagreement_score":0.72266674,"about_ca_system_score_codex":0.000011761667,"about_ca_system_score_gemma":0.000024355599,"threshold_uncertainty_score":0.885468},"labels":[],"label_agreement":null},{"id":"W2111744339","doi":"10.1186/gm316","title":"Open science versus commercialization: a modern research conflict?","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Research Data Management Practices","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Alberta","funders":"Economic and Social Research Council; University of Edinburgh; Stem Cell Network","keywords":"Commercialization; Open science; Science policy; Open research; Open innovation; Exploratory research; Public relations; Dissemination; Political science; Engineering ethics; Business; Knowledge management; Sociology; Computer science; Marketing; Engineering; Social science; World Wide Web; Public administration","score_opus":0.5862541650389435,"score_gpt":0.5421073726736438,"score_spread":0.044146792365299614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111744339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00574698,0.004066182,0.52866226,0.055854194,0.0021258474,0.0017980919,0.0000054832954,0.00017177415,0.40156922],"genre_scores_gemma":[0.98241895,0.0012729293,0.009948576,0.0011330394,0.0008870547,0.00010054852,0.000026692021,0.00001748172,0.0041947328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956524,0.00036010906,0.00024583377,0.00057144964,0.0021652589,0.001004971],"domain_scores_gemma":[0.9963444,0.0005344872,0.00009022656,0.0020516478,0.0004922813,0.0004869605],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.018196866,0.000114131384,0.00018289975,0.0006266842,0.0007590538,0.0018917826,0.013997303,0.000029480376,0.00017042893],"category_scores_gemma":[0.0028464438,0.000092003604,0.000012141651,0.0031024686,0.0010215054,0.031709332,0.011274145,0.00030737766,0.00027214],"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":[0.00008575017,0.00015729667,0.0005914146,0.000033296226,0.000032253574,0.000018978344,0.006587237,0.000014238115,0.004511119,0.9537349,0.010966083,0.023267468],"study_design_scores_gemma":[0.0016270872,0.0003860059,0.010261531,0.000027829698,0.000008192996,0.000007626275,0.00057109544,0.0036104936,0.00015744226,0.0011219375,0.98204327,0.00017748741],"about_ca_topic_score_codex":0.000515631,"about_ca_topic_score_gemma":0.000016090815,"teacher_disagreement_score":0.976672,"about_ca_system_score_codex":0.00019577143,"about_ca_system_score_gemma":0.00028596199,"threshold_uncertainty_score":0.9991444},"labels":[],"label_agreement":null},{"id":"W2116385095","doi":"10.1186/gm472","title":"Pathprinting: An integrative approach to understand the functional basis of disease","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Human genetics; Computational biology; Disease; Systems biology; Basis (linear algebra); Medicine; Bioinformatics; Biology; Internal medicine; Genetics; Mathematics","score_opus":0.017656128388411182,"score_gpt":0.2294766712777885,"score_spread":0.21182054288937732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116385095","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":[0.9879391,0.0008073343,0.0072845793,0.0009630526,0.0000847639,0.00032430273,0.000026251817,0.00000473958,0.0025658645],"genre_scores_gemma":[0.997894,0.000047287722,0.00023849915,0.00075198704,0.00030241944,0.000030000085,0.00020974487,0.000011285153,0.0005147892],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993303,0.00003772334,0.00015143928,0.00022638911,0.00012178716,0.0001323542],"domain_scores_gemma":[0.99930817,0.000009621452,0.00005050929,0.0003165735,0.000116772826,0.00019837232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119418626,0.0001068353,0.00011411374,0.00003502729,0.00006719277,0.000008014012,0.00016529934,0.000029620078,0.00013114032],"category_scores_gemma":[0.00007758543,0.000059603444,0.00004709549,0.00007986844,0.00014062719,0.0000024560986,0.00007177283,0.000041938823,0.000007910259],"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":[0.0008142951,0.0010330084,0.01582072,0.00018165933,0.00046331986,0.0000056895165,0.0066143973,0.0019223286,0.931112,0.0061144,0.02213777,0.013780393],"study_design_scores_gemma":[0.002022366,0.0018449727,0.9174774,0.00006548095,0.00023588324,0.000017322705,0.038547315,0.00064306875,0.0071276743,0.0032453337,0.028108258,0.0006649168],"about_ca_topic_score_codex":0.000054955704,"about_ca_topic_score_gemma":0.0000057784205,"teacher_disagreement_score":0.92398435,"about_ca_system_score_codex":0.0000100865,"about_ca_system_score_gemma":0.00006039818,"threshold_uncertainty_score":0.24305579},"labels":[],"label_agreement":null},{"id":"W2116759214","doi":"10.1186/gm337","title":"Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Institute for Nanotechnology; Athabasca University; University of Alberta","funders":"Genome Alberta; University of Alberta; Ministry of Advanced Education, Government of Alberta; Genome Canada","keywords":"Metabolome; Human genetics; Cerebrospinal fluid; Computational biology; Human physiology; Medicine; Bioinformatics; Metabolomics; Computer science; Data science; Biology; Pathology; Genetics; Internal medicine","score_opus":0.03266310134391294,"score_gpt":0.29056311797339424,"score_spread":0.2579000166294813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116759214","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":[0.99088836,0.0072707576,0.00091701397,0.00031849075,0.0002189474,0.00019956661,0.00003817721,0.0000033527217,0.00014534158],"genre_scores_gemma":[0.99677086,0.0015010157,0.0008290132,0.00029021653,0.00020936738,0.0000103114135,0.00012121457,0.000011858613,0.00025614406],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992735,0.000035448524,0.00022093671,0.00016343378,0.00010756219,0.00019916822],"domain_scores_gemma":[0.99946004,0.000006540175,0.00015804044,0.00021484183,0.00010088785,0.000059653707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001682306,0.0001337569,0.00025807726,0.000049482278,0.00012281795,0.0000033190927,0.00011169462,0.000051380965,0.00004295682],"category_scores_gemma":[0.000044336175,0.00008429456,0.000040501996,0.00012123273,0.0002632382,0.0000061382016,0.00015490383,0.000062101506,0.00000267986],"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":[0.00002092525,0.00003138787,0.0059276232,0.000024640383,0.00010209225,1.0168759e-7,0.00029580962,2.534023e-7,0.99169457,0.0017397082,0.000037360736,0.00012553405],"study_design_scores_gemma":[0.0010439942,0.00029888147,0.8210135,0.00001404293,0.00010670548,0.000010161778,0.000398792,0.000009235212,0.12627932,0.000040404677,0.050641533,0.00014340277],"about_ca_topic_score_codex":0.000012673527,"about_ca_topic_score_gemma":0.0000045996785,"teacher_disagreement_score":0.8654152,"about_ca_system_score_codex":0.0000060054335,"about_ca_system_score_gemma":0.000009615841,"threshold_uncertainty_score":0.34374323},"labels":[],"label_agreement":null},{"id":"W2119394167","doi":"10.1186/gm239","title":"Methods for the de-identification of electronic health records for genomic research","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"CHEO Research Institute; Vanderbilt University","keywords":"Health Insurance Portability and Accountability Act; Identification (biology); Legislation; Internet privacy; Protected health information; Software portability; Health records; Health informatics; Confidentiality; Authorization; Business; Medicine; Data science; Computer science; Computer security; Public health; Political science; Health care; Health policy; Law; HRHIS; Biology; Nursing","score_opus":0.8064584626722242,"score_gpt":0.7128873125696918,"score_spread":0.09357115010253236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119394167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011267547,0.021213766,0.88267785,0.07603831,0.00049300265,0.0063419878,0.000020909321,0.000043794727,0.0019028562],"genre_scores_gemma":[0.80501664,0.017273007,0.15580232,0.0026454055,0.0020998607,0.001897156,0.00009293975,0.00014076532,0.015031891],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965479,0.0005370478,0.000995582,0.00041976944,0.0006119631,0.0008877873],"domain_scores_gemma":[0.97549653,0.021483151,0.00026199708,0.000986249,0.0015275163,0.0002445288],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08159805,0.00011248543,0.00047528217,0.00026720748,0.0002702421,0.0000052440123,0.0005609372,0.00019603793,0.00024706486],"category_scores_gemma":[0.029667126,0.000072190654,0.000129203,0.00044813837,0.0008109862,0.000021982049,0.00009518311,0.0012592883,0.00000998656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047422326,0.0005696519,0.0014735074,0.0046554995,0.00067044905,0.0000019057796,0.018144824,0.000006573664,0.22853185,0.17027844,0.0042317407,0.5666933],"study_design_scores_gemma":[0.006798619,0.018793024,0.07708625,0.00043213397,0.00034601934,0.000039755454,0.004643546,0.0055087623,0.01342909,0.7029547,0.16971295,0.00025516347],"about_ca_topic_score_codex":0.0004631516,"about_ca_topic_score_gemma":0.00019143547,"teacher_disagreement_score":0.7937491,"about_ca_system_score_codex":0.00048542325,"about_ca_system_score_gemma":0.0019191673,"threshold_uncertainty_score":0.9785064},"labels":[],"label_agreement":null},{"id":"W2119727850","doi":"10.1186/gm372","title":"De novo mutations in neurological and psychiatric disorders: effects, diagnosis and prevention","year":2012,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Human genetics; Disease; Medicine; Psychiatry; Bioinformatics; Genetics; Biology; Gene; Pathology","score_opus":0.01830195972658947,"score_gpt":0.3047598590064734,"score_spread":0.2864578992798839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119727850","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":[0.01995928,0.9791568,0.00005705612,0.000093597395,0.00010876429,0.00054138806,0.000018902247,0.0000045499382,0.000059692553],"genre_scores_gemma":[0.0069178217,0.99182296,0.00014727212,0.00009779116,0.00037143193,0.00021774546,0.00035862866,0.00002212969,0.000044212025],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990445,0.00013113696,0.00024431487,0.00031530258,0.00005201903,0.00021276213],"domain_scores_gemma":[0.9995431,0.00006509454,0.0000981327,0.0001562976,0.00000932877,0.00012807365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017516382,0.00020649405,0.00045336338,0.00011815607,0.00004551147,0.000008771661,0.0000849893,0.00020010489,0.000017085056],"category_scores_gemma":[0.000106373234,0.0001525913,0.00007385119,0.00011003654,0.000096540534,0.0000017184382,0.0000840695,0.000115815106,0.0000020165496],"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":[0.000008318678,0.000100076,0.0068570673,0.0043846816,0.000052110892,0.000011062133,0.000035767313,6.574099e-7,0.000014904098,0.00002429244,0.00004974727,0.9884613],"study_design_scores_gemma":[0.00043713202,0.0005771495,0.020571997,0.0004898948,0.00080406765,0.000114913775,0.000010740958,0.0000011398439,2.3905883e-7,0.00027640047,0.97649324,0.00022310205],"about_ca_topic_score_codex":0.000009996957,"about_ca_topic_score_gemma":0.000026387981,"teacher_disagreement_score":0.9882382,"about_ca_system_score_codex":0.0000066120942,"about_ca_system_score_gemma":0.000050582614,"threshold_uncertainty_score":0.62224925},"labels":[],"label_agreement":null},{"id":"W2120386191","doi":"10.1186/gm249","title":"The membrane-spanning 4-domains, subfamily A (MS4A) gene cluster contains a common variant associated with Alzheimer's disease","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"National Institute on Aging; Instituto de Salud Carlos III; University of California, San Diego; National Institute of Biomedical Imaging and Bioengineering; University of California, Los Angeles; Genentech; National Institutes of Health; Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas; Junta de Andalucía; Eisai; Northern California Institute for Research and Education; Alzheimer's Disease Neuroimaging Initiative; F. Hoffmann-La Roche; Medpace; GlaxoSmithKline; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Pfizer; Corporación Tecnológica de Andalucía; Elan; Novartis; Synarc; Dana Foundation; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Genome-wide association study; Odds ratio; Genetics; Biology; Genetic association; Imputation (statistics); Population; Meta-analysis; Subfamily; Gene; Medicine; Single-nucleotide polymorphism; Genotype; Internal medicine; Computer science; Missing data","score_opus":0.02553347686892772,"score_gpt":0.24699082643097475,"score_spread":0.22145734956204705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120386191","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":[0.98257035,0.007828904,0.0027971086,0.0026024948,0.00024837593,0.00056325085,0.000046406007,0.000034143843,0.003308938],"genre_scores_gemma":[0.9951544,0.0005529942,0.000388348,0.0023735266,0.00032352915,0.00007779271,0.0004316588,0.000039340746,0.0006584092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981084,0.00033205812,0.00041052655,0.00040645926,0.00020086751,0.0005416999],"domain_scores_gemma":[0.9986259,0.00012151824,0.00027389984,0.0005716282,0.00014348126,0.00026357683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011082557,0.00025288935,0.0003529506,0.00004301116,0.00037893694,0.000010635502,0.0003404813,0.00014997453,0.00004147922],"category_scores_gemma":[0.00041698178,0.00015611955,0.00007933953,0.00014096865,0.00034331568,0.0000031725547,0.00012259041,0.00015818945,0.00001032191],"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":[0.0077165104,0.0015514893,0.6809901,0.000088631175,0.0128828995,0.0010612134,0.011533937,0.001847534,0.23932432,0.003254011,0.030206073,0.00954329],"study_design_scores_gemma":[0.0043887626,0.0016909491,0.95818645,0.000058348378,0.00084424147,0.00005928634,0.00087820133,0.00051653455,0.0007352901,0.0005759434,0.03148743,0.0005785577],"about_ca_topic_score_codex":0.00018733839,"about_ca_topic_score_gemma":0.00035883288,"teacher_disagreement_score":0.27719635,"about_ca_system_score_codex":0.00003461542,"about_ca_system_score_gemma":0.0001221817,"threshold_uncertainty_score":0.63663703},"labels":[],"label_agreement":null},{"id":"W2120715664","doi":"10.1186/gm220","title":"Genome Medicine: past, present and future","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke","keywords":"Genomic medicine; Human genetics; Genome Biology; Personalized medicine; Genomics; Genome; Precision medicine; Data science; Translational bioinformatics; Section (typography); Computational biology; Engineering ethics; Medicine; Biology; Bioinformatics; Genetics; Computer science; Engineering; Gene","score_opus":0.012464057138177944,"score_gpt":0.22562882795057287,"score_spread":0.21316477081239493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120715664","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":[0.91899574,0.050845657,0.00020775337,0.0061186627,0.0006968975,0.00042954332,0.000039282146,0.000030210414,0.022636274],"genre_scores_gemma":[0.9777162,0.0045332857,0.00023178748,0.0011621825,0.014352853,0.000025298257,0.00033485846,0.00004012947,0.0016033675],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988592,0.000034460132,0.00025400228,0.00040925786,0.00015144826,0.00029158877],"domain_scores_gemma":[0.99912703,0.0000059796625,0.00008383189,0.0004212741,0.000081024125,0.00028085374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017804992,0.00021373697,0.0002504662,0.00007142876,0.000089639536,0.0000042876663,0.0002195793,0.00011368118,0.0006101471],"category_scores_gemma":[0.000012625254,0.00015046993,0.00004257602,0.00008183645,0.00030663633,0.0000024203325,0.00014115106,0.00007988823,0.000014993941],"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":[0.0005043964,0.00023477714,0.009851735,0.0002552183,0.00045023696,0.0002652103,0.0053077918,0.000005154396,0.94069695,0.00060370116,0.026158465,0.015666354],"study_design_scores_gemma":[0.0011251015,0.0008815126,0.1727701,0.000013809312,0.000086670385,0.00011012827,0.0010296204,0.0000025210109,0.00057076954,0.00027641194,0.82289594,0.00023741934],"about_ca_topic_score_codex":0.000060753464,"about_ca_topic_score_gemma":0.0000059026197,"teacher_disagreement_score":0.9401262,"about_ca_system_score_codex":0.000008796778,"about_ca_system_score_gemma":0.000032043794,"threshold_uncertainty_score":0.6680683},"labels":[],"label_agreement":null},{"id":"W2124334726","doi":"10.1186/gm22","title":"Commercialization, patenting and genomics: researcher perspectives","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Commercialization; Parallels; Enforcement; Genomics; Engineering ethics; Political science; Public relations; Biotechnology; Genome; Biology; Engineering; Law; Genetics","score_opus":0.05575754101693784,"score_gpt":0.3471015840559433,"score_spread":0.29134404303900546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124334726","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4119648,0.022454465,0.006665767,0.54141605,0.00019150505,0.00082207774,0.000005031361,0.00014607278,0.016334247],"genre_scores_gemma":[0.99363583,0.001578715,0.00060645345,0.0023212226,0.00073454663,0.0000021910148,0.000059709884,0.000011227156,0.0010501047],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990124,0.00003893321,0.00021698509,0.00021761307,0.00031581096,0.00019825739],"domain_scores_gemma":[0.9993547,0.000027065216,0.000050239836,0.00016096144,0.00019863172,0.00020840856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006512771,0.00009456608,0.00022249238,0.00015323031,0.00012837921,0.000009556779,0.000048596663,0.00011262416,0.00029720995],"category_scores_gemma":[0.00015987354,0.00006608161,0.000023579465,0.00023847754,0.000872341,0.00003373164,0.000024443505,0.00023121844,0.000007760243],"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":[0.00052682724,0.00054745865,0.0068501183,0.00043466827,0.00024553743,0.00014778614,0.07090716,0.000008670238,0.38381124,0.10142087,0.004824958,0.4302747],"study_design_scores_gemma":[0.0035270092,0.0012444439,0.88502383,0.00023297573,0.00012429718,0.000115771414,0.006601849,0.0010474471,0.00015165182,0.018783895,0.08293525,0.00021155842],"about_ca_topic_score_codex":0.000040071558,"about_ca_topic_score_gemma":0.0000029537503,"teacher_disagreement_score":0.8781737,"about_ca_system_score_codex":0.00006593642,"about_ca_system_score_gemma":0.000059002654,"threshold_uncertainty_score":0.32542405},"labels":[],"label_agreement":null},{"id":"W2128622895","doi":"10.1186/gm25","title":"Genomic medicine: considerations for health professionals and the public","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"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":"Canadian Institutes of Health Research; Genome Canada","keywords":"Genomic medicine; Human genetics; Personalized medicine; Public health; Genomics; Precision medicine; Genetic testing; Engineering ethics; Medicine; Data science; Ethical issues; Genomic information; Bioinformatics; Computer science; Computational biology; Genetics; Engineering; Biology; Genome; Pathology","score_opus":0.02949713839584573,"score_gpt":0.3436561998137644,"score_spread":0.31415906141791866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128622895","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039097384,0.036420316,0.0067723584,0.91423005,0.00051190215,0.0014425445,0.000030077923,0.000020564301,0.0014747821],"genre_scores_gemma":[0.94487244,0.0009646794,0.0014538186,0.05022283,0.0013277066,0.0001245524,0.00014708754,0.000013213118,0.00087369536],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902,0.00009211547,0.00029727377,0.00025928547,0.00011832354,0.00021301549],"domain_scores_gemma":[0.9992345,0.00011709529,0.00012092515,0.00029851176,0.00012985097,0.00009909582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009038957,0.00011647119,0.00021715816,0.000054463977,0.00031204263,0.0000089029045,0.00010812453,0.000057102498,0.00010301845],"category_scores_gemma":[0.0005943481,0.000068783265,0.000027939002,0.000076122255,0.00043373043,0.0000025114568,0.000031457603,0.000071267255,0.0000021812511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034369619,0.00009729824,0.00022602297,0.00009798084,0.00024569104,0.0000023537496,0.0053767604,0.00004555131,0.25051,0.05965659,0.6623435,0.021054545],"study_design_scores_gemma":[0.012427346,0.0020184284,0.012875999,0.00007428019,0.00008650078,0.00019613227,0.0017735675,0.00013883249,0.00090181566,0.038192477,0.93098545,0.00032916848],"about_ca_topic_score_codex":0.000007904265,"about_ca_topic_score_gemma":0.000029806997,"teacher_disagreement_score":0.905775,"about_ca_system_score_codex":0.000041448628,"about_ca_system_score_gemma":0.0003241883,"threshold_uncertainty_score":0.28049},"labels":[],"label_agreement":null},{"id":"W2129383830","doi":"10.1186/s13073-014-0122-2","title":"Comparison of DNA methylation profiles in human fetal and adult red blood cell progenitors","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal; Montreal Heart Institute","funders":"National Heart, Lung, and Blood Institute","keywords":"DNA methylation; Biology; Epigenetics; Methylation; Genetics; Enhancer; Differentially methylated regions; Fetal hemoglobin; Gene; Fetus; Gene expression","score_opus":0.02574879034849769,"score_gpt":0.3003837027288048,"score_spread":0.27463491238030713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129383830","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":[0.9875406,0.005075373,0.00001535981,0.0014018608,0.00009200014,0.0005939968,0.0000023674438,0.000028945165,0.005249482],"genre_scores_gemma":[0.9989774,0.00010202405,0.0003209974,0.000058957987,0.00013928083,0.000013318454,0.00009618637,0.000017791172,0.00027399434],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99869317,0.000053801683,0.0005089336,0.00021251345,0.00033248262,0.00019908558],"domain_scores_gemma":[0.9992982,0.000019276047,0.00015334936,0.00017276939,0.00016083193,0.00019556537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036770976,0.00014266504,0.0005026035,0.00022076667,0.00003303277,0.0000026406944,0.000058724225,0.00013848512,0.000040218103],"category_scores_gemma":[0.00013315181,0.000104118255,0.00002961276,0.0002984024,0.00018876178,0.00003391847,0.000031664436,0.00021364012,0.0000032687376],"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":[0.0002951399,0.0008763768,0.3635951,0.00071525143,0.0001088929,0.000059092356,0.014170307,0.000029297913,0.6154345,0.00011829619,0.0008530184,0.0037446895],"study_design_scores_gemma":[0.08079523,0.019583901,0.4348812,0.001817887,0.002651245,0.00025318656,0.07205535,0.002280574,0.3719202,0.0012899175,0.011206278,0.0012650194],"about_ca_topic_score_codex":0.00014845304,"about_ca_topic_score_gemma":0.000016514707,"teacher_disagreement_score":0.24351434,"about_ca_system_score_codex":0.000031809504,"about_ca_system_score_gemma":0.000060816536,"threshold_uncertainty_score":0.42458194},"labels":[],"label_agreement":null},{"id":"W2129447411","doi":"10.1186/s13073-015-0233-4","title":"HOTAIR and its surrogate DNA methylation signature indicate carboplatin resistance in ovarian cancer","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"National Cancer Institute; BC Cancer Agency; Seventh Framework Programme; Medical Research Council; Cancer Center, University of Kansas; Inger and John Fredriksen Foundation for Ovarian Cancer Research; Haukeland Universitetssjukehus; Universitair Medisch Centrum Groningen; RWTH Aachen University; Rijksuniversiteit Groningen; Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences; Max-Planck-Gesellschaft; University College London; University of Southern California; Chinese Academy of Sciences; University of New South Wales; Kreftforeningen; Directorate for Biological Sciences; National Institutes of Health; University College London Hospitals NHS Foundation Trust; European Commission; Helse Vest; KU Leuven; Universitetet i Bergen; National Institute for Health and Care Research; Norges Forskningsråd","keywords":"HOTAIR; Carboplatin; Ovarian cancer; DNA methylation; Oncology; Cancer research; Cancer stem cell; Cisplatin; Long non-coding RNA; Biology; Medicine; Internal medicine; Cancer; Chemotherapy; Genetics; Downregulation and upregulation; Gene expression","score_opus":0.02141474143185696,"score_gpt":0.29393485560561855,"score_spread":0.2725201141737616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129447411","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":[0.8820114,0.104227155,0.002096464,0.006580883,0.00041162048,0.0009407187,0.00005684953,0.000026908692,0.0036479787],"genre_scores_gemma":[0.9965907,0.0011137734,0.0002035056,0.00030064723,0.00031782122,0.00005935141,0.00014899201,0.000031932075,0.0012332818],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854213,0.00013022593,0.00023878473,0.00043696727,0.00032803207,0.00032385724],"domain_scores_gemma":[0.9991982,0.000012298355,0.00009242641,0.0003319483,0.0001476721,0.00021743239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006856215,0.00017043288,0.0002199334,0.00016393866,0.000041220643,0.0000090674785,0.00021152131,0.00023584245,0.000055568842],"category_scores_gemma":[0.000335958,0.0001552909,0.000022401753,0.0003462669,0.000075971286,0.0000053320337,0.00014688393,0.00026552225,0.0000047145218],"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":[0.00021154115,0.00001202007,0.0000630129,0.000034022858,0.000038936225,0.000028769842,0.00048059633,0.00016921223,0.9976044,0.0001294299,0.00067300873,0.00055500946],"study_design_scores_gemma":[0.01096253,0.0009852577,0.015038392,0.0002978401,0.00010553856,0.000029346724,0.0005529426,0.0004934683,0.8578341,0.0024593652,0.11036304,0.00087816647],"about_ca_topic_score_codex":0.00015120441,"about_ca_topic_score_gemma":0.0013451547,"teacher_disagreement_score":0.13977031,"about_ca_system_score_codex":0.00009404748,"about_ca_system_score_gemma":0.00021313281,"threshold_uncertainty_score":0.6332579},"labels":[],"label_agreement":null},{"id":"W2132098080","doi":"10.1186/gm460","title":"Novel approaches for the identification of biomarkers of aggressive prostate cancer","year":2013,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Prostate cancer; Identification (biology); Biomarker discovery; Computational biology; Epigenetics; Medicine; Bioinformatics; Proteomics; Disease; Omics; Biomarker; Cancer; Human genetics; Biology; Pathology; Internal medicine; Gene; Genetics","score_opus":0.09875800309770022,"score_gpt":0.36224489801040327,"score_spread":0.26348689491270305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132098080","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":[0.000006792002,0.96908444,0.027711954,0.0001681661,0.000032008422,0.002026847,0.000769584,0.000019218345,0.00018099423],"genre_scores_gemma":[0.000041752748,0.9870373,0.0044158488,0.0000046299,0.00016649712,0.006949931,0.00041717125,0.000041847918,0.00092503463],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985575,0.0000065223435,0.0008901111,0.00026901258,0.00013733932,0.00013948555],"domain_scores_gemma":[0.99572426,0.00019810542,0.0032992521,0.0005955996,0.00015042406,0.00003238439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023336557,0.00021293673,0.00078778405,0.00006303271,0.000054549448,0.0000035676849,0.0004451789,0.00013952429,0.000100435005],"category_scores_gemma":[0.000112429785,0.00012182138,0.00016678241,0.000189676,0.00030902956,0.000020438207,0.00005748573,0.00013494943,0.0000011515119],"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":[0.0000057012953,0.000028525976,6.4601886e-7,0.021469431,0.00027042703,4.9691767e-8,0.000121140336,0.000006107274,0.01584055,0.00042629044,0.00017754373,0.9616536],"study_design_scores_gemma":[0.0002472014,0.000020368854,0.0000013223855,0.005972756,0.0010523823,0.000005768995,0.00013399546,0.00008930715,0.004734916,0.00051849737,0.9870465,0.00017698186],"about_ca_topic_score_codex":0.00006400559,"about_ca_topic_score_gemma":0.0000013018571,"teacher_disagreement_score":0.986869,"about_ca_system_score_codex":0.00006117584,"about_ca_system_score_gemma":0.00009598638,"threshold_uncertainty_score":0.49677318},"labels":[],"label_agreement":null},{"id":"W2132284327","doi":"10.1186/s13073-014-0100-8","title":"YMAP: a pipeline for visualization of copy number variation and loss of heterozygosity in eukaryotic pathogens","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"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 Institute of Allergy and Infectious Diseases; European Commission; Broad Institute; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; Burroughs Wellcome Fund; University of Minnesota; Howard Hughes Medical Institute; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Loss of heterozygosity; Copy-number variation; Visualization; Variation (astronomy); Human genetics; Biology; Pipeline (software); Computational biology; Evolutionary biology; Genetics; Systems biology; Structural variation; Genome; Bioinformatics; Computer science; Allele; Gene; Data mining; Physics; Astronomy","score_opus":0.009594068967634428,"score_gpt":0.25970863272472794,"score_spread":0.2501145637570935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132284327","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":[0.962024,0.0005852899,0.0369004,0.00009858235,0.00006646167,0.00019411587,0.000023543878,8.8081873e-7,0.00010674741],"genre_scores_gemma":[0.9984919,0.00035544907,0.0008001984,0.00008028556,0.00013745243,0.0000096254635,0.00007663926,0.00000891866,0.00003957756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993872,0.00003441102,0.00026186282,0.0001600306,0.000060682978,0.00009579518],"domain_scores_gemma":[0.9995904,0.000026291495,0.000119217344,0.00012855943,0.000108738444,0.00002676794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155935,0.00007972485,0.00020762027,0.000034496617,0.000018013783,9.921429e-7,0.00005006698,0.000055768847,0.000006256836],"category_scores_gemma":[0.0001226635,0.000069887064,0.000023075921,0.00005942425,0.00008053255,4.5715134e-7,0.000038694907,0.000015715705,2.516574e-7],"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":[0.00008436551,0.000040210776,0.145575,0.00012380193,0.000024329387,1.5031199e-7,0.000548112,0.00007092559,0.8526621,0.0002581005,0.000029827122,0.0005830676],"study_design_scores_gemma":[0.0036300214,0.0011011987,0.9371881,0.000057123176,0.000095844654,0.000009149263,0.00010344239,0.0012655661,0.05197603,0.0014932255,0.0028763255,0.00020396718],"about_ca_topic_score_codex":0.00004095842,"about_ca_topic_score_gemma":0.00003070482,"teacher_disagreement_score":0.80068606,"about_ca_system_score_codex":0.00000481126,"about_ca_system_score_gemma":0.000011521724,"threshold_uncertainty_score":0.28499117},"labels":[],"label_agreement":null},{"id":"W2133592386","doi":"10.1186/gm503","title":"An ethics safe harbor for international genomics research?","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"Government of Canada; Canadian Institutes of Health Research; Fondation du cancer du sein du Québec; Génome Québec; Genome Canada","keywords":"Human genetics; Genomics; Genome Biology; Computational biology; Genomic medicine; Medicine; Engineering ethics; Data science; Bioinformatics; Biology; Computer science; Genetics; Genome; Engineering; Gene","score_opus":0.7592737449615201,"score_gpt":0.6698350765513404,"score_spread":0.08943866841017967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133592386","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1840807,0.0016744805,0.012621785,0.7449646,0.00286135,0.00508597,0.00007580957,0.00020513088,0.04843017],"genre_scores_gemma":[0.9190069,0.0034195764,0.026531788,0.015183704,0.009984268,0.0005829556,0.00033551242,0.00013881925,0.024816515],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99540496,0.0002383189,0.00072367385,0.0006246276,0.002296119,0.0007122823],"domain_scores_gemma":[0.97814476,0.013064614,0.00010476026,0.0011179167,0.0067298845,0.000838069],"candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.018065143,0.00017265705,0.0004234249,0.00042660994,0.0002726446,0.000048572463,0.00083402277,0.00061704067,0.0046486594],"category_scores_gemma":[0.06709845,0.00013284243,0.00008855173,0.00032294221,0.0012632044,0.00013126347,0.00021314312,0.0044024335,0.00069626595],"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":[0.0021315732,0.0016323513,0.0066548055,0.002179397,0.0008042556,0.00014222277,0.013311835,0.000041129202,0.6224609,0.23948859,0.07429389,0.036859035],"study_design_scores_gemma":[0.0071950546,0.0064938497,0.05083669,0.0005644217,0.00009068431,0.00003220611,0.0026801564,0.0032809975,0.0014289278,0.20546797,0.7215309,0.000398135],"about_ca_topic_score_codex":0.0003415588,"about_ca_topic_score_gemma":0.000078076264,"teacher_disagreement_score":0.73492616,"about_ca_system_score_codex":0.00037574506,"about_ca_system_score_gemma":0.0010355164,"threshold_uncertainty_score":0.99789447},"labels":[],"label_agreement":null},{"id":"W2134481741","doi":"10.1186/gm396","title":"Derivation of HLA types from shotgun sequence datasets","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Genome British Columbia","keywords":"Shotgun; Human genetics; Computational biology; Human leukocyte antigen; Sequence (biology); Shotgun proteomics; Shotgun sequencing; Computer science; Bioinformatics; Medicine; Biology; Genetics; Proteomics; DNA sequencing; Gene","score_opus":0.09469219004192392,"score_gpt":0.3683214661365018,"score_spread":0.2736292760945779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134481741","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":[0.9815356,0.009373729,0.00033800083,0.0022983286,0.00021130037,0.00035925658,0.00039096168,0.000038805236,0.005454024],"genre_scores_gemma":[0.99522495,0.00051558047,0.0007030956,0.00065483426,0.0009694675,0.000009247878,0.0015320531,0.00001872755,0.00037204102],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986953,0.000033821805,0.00030642273,0.0001756775,0.00046945637,0.0003193056],"domain_scores_gemma":[0.99903005,0.00009886108,0.00008037385,0.00044019357,0.000090689944,0.00025984505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044553445,0.00011917959,0.0003524335,0.0001534664,0.000042071944,0.0000032860094,0.00012756462,0.00007288186,0.0043751267],"category_scores_gemma":[0.00022240843,0.00008695955,0.00003418242,0.00028400583,0.00019760245,0.000112562186,0.0000648755,0.00017930643,0.00022860341],"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":[0.0003364715,0.00020670611,0.056875996,0.00018052674,0.00017159058,0.000030065907,0.0018028265,0.000001836216,0.90264773,0.0005018642,0.00796117,0.029283196],"study_design_scores_gemma":[0.0024625515,0.0004959168,0.3891574,0.00023969696,0.00023689034,0.000043836128,0.0003288277,0.00009598726,0.018517153,0.00025558672,0.58795977,0.0002063732],"about_ca_topic_score_codex":0.0010518065,"about_ca_topic_score_gemma":0.000024474619,"teacher_disagreement_score":0.8841306,"about_ca_system_score_codex":0.00006663889,"about_ca_system_score_gemma":0.000072884664,"threshold_uncertainty_score":0.996535},"labels":[],"label_agreement":null},{"id":"W2134974358","doi":"10.1186/gm77","title":"Linking genes to diseases: it's all in the data","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"Medical Research Council; South African Medical Research Council","keywords":"Computational biology; Human genetics; Gene; Disease; Gene prediction; Biological data; Identification (biology); Gene Annotation; Phenotype; Clinical phenotype; Systems biology; Human genome; Candidate gene; Genomics; Computational model; Bioinformatics; Annotation; Genome; Biology; Genetics; Computer science; Medicine; Artificial intelligence","score_opus":0.034558877343478345,"score_gpt":0.30070136816129517,"score_spread":0.2661424908178168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134974358","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":[0.6399743,0.07354735,0.04735201,0.20189032,0.0016109728,0.003209177,0.0003506976,0.00007275786,0.031992424],"genre_scores_gemma":[0.96004605,0.0008429488,0.0006147643,0.03540219,0.0014822187,0.0000072286093,0.0013684502,0.000008964872,0.00022717225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912465,0.000029223236,0.00023815058,0.00023245515,0.0001335469,0.0002419652],"domain_scores_gemma":[0.99896675,0.0000120535105,0.000044494544,0.00087051344,0.000019545261,0.000086659704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045434976,0.00011583657,0.00013158769,0.000039352024,0.000043521293,0.00001673255,0.0008181817,0.00006271695,0.000017499264],"category_scores_gemma":[0.000037371672,0.00007396204,0.0000207201,0.00011476597,0.00003704545,0.000003325145,0.00016855351,0.000084601495,0.000016704415],"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":[0.000281307,0.0003130008,0.002970498,0.00010479171,0.00016101183,0.00008931993,0.0072580585,0.0018362305,0.18546136,0.00085653877,0.2708298,0.5298381],"study_design_scores_gemma":[0.00057925086,0.0004451486,0.011794553,0.00003416611,0.000033315224,0.000018988172,0.00050436455,0.00045314195,0.000057137477,0.00048446344,0.9854218,0.00017368617],"about_ca_topic_score_codex":0.000010607835,"about_ca_topic_score_gemma":0.000037799862,"teacher_disagreement_score":0.714592,"about_ca_system_score_codex":0.0000075771704,"about_ca_system_score_gemma":0.000027642012,"threshold_uncertainty_score":0.30160844},"labels":[],"label_agreement":null},{"id":"W2135787796","doi":"10.1186/s13073-014-0107-1","title":"Complex host genetics influence the microbiome in inflammatory bowel disease","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":430,"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 Toronto; Mount Sinai Hospital","funders":"Army Research Office; National Institute of Dental and Craniofacial Research; Universitair Medisch Centrum Groningen; National Human Genome Research Institute; Department of Psychiatry, University of Toronto; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institute of Diabetes and Digestive and Kidney Diseases; Crohn's and Colitis Foundation of Canada; Broad Institute; Crohn's and Colitis Foundation; University of Minnesota; University of Toronto; Division of Biological Infrastructure; Massachusetts General Hospital; Crohn's and Colitis Foundation of America; National Institutes of Health; National Science Foundation","keywords":"Human genetics; Inflammatory bowel disease; Microbiome; Inflammatory Bowel Diseases; Host (biology); Computational biology; Disease; Biology; Medicine; Bioinformatics; Genetics; Evolutionary biology; Pathology; Gene","score_opus":0.009190186086397052,"score_gpt":0.25031925200189126,"score_spread":0.2411290659154942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135787796","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":[0.99340624,0.0025311313,0.00015906441,0.0031645368,0.000108195694,0.0002705953,0.000016622987,0.0000097126385,0.00033393071],"genre_scores_gemma":[0.9936481,0.00047274833,0.00010991051,0.004849044,0.00044333472,0.000013535154,0.00015971149,0.000020214418,0.00028341572],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99888074,0.00009557033,0.00029420384,0.00029682866,0.00009880198,0.00033385854],"domain_scores_gemma":[0.99913937,0.000016600894,0.000081575905,0.0005348208,0.00005952766,0.00016813181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038854385,0.00016264989,0.00014957732,0.000066525194,0.000096386815,0.0000107245205,0.00034009886,0.00007647949,0.000053789372],"category_scores_gemma":[0.000079405,0.00011411145,0.00003548523,0.00010417677,0.00031432806,0.0000018662624,0.00012899964,0.00012253571,0.000043871438],"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":[0.000038140184,0.000020442109,0.026591998,0.00005924026,0.000008431899,0.000003848144,0.00017159175,0.000086578024,0.97150713,0.000058328325,0.0012121456,0.00024215192],"study_design_scores_gemma":[0.0006931177,0.00013667374,0.7653856,0.000026549546,0.000011659177,0.000008776326,0.000038475817,0.000039623294,0.0010548163,0.000044311466,0.23242828,0.00013206332],"about_ca_topic_score_codex":0.000036965186,"about_ca_topic_score_gemma":0.000077168916,"teacher_disagreement_score":0.9704523,"about_ca_system_score_codex":0.000022989152,"about_ca_system_score_gemma":0.00008700322,"threshold_uncertainty_score":0.46533298},"labels":[],"label_agreement":null},{"id":"W2136128497","doi":"10.1186/gm519","title":"miR-638 regulates gene expression networks associated with emphysematous lung destruction","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Stichting Astma Bestrijding; Division of Graduate Education; British Columbia Lung Association; European Respiratory Society; National Science Foundation","keywords":"Human genetics; Gene; Gene expression; Systems biology; Computational biology; Lung; Biology; Bioinformatics; Medicine; Cell biology; Genetics; Internal medicine","score_opus":0.011604779673755755,"score_gpt":0.25593193962562544,"score_spread":0.24432715995186968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136128497","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":[0.9881593,0.005370383,0.0010852541,0.0015080045,0.00024473644,0.0016793114,0.000009773202,0.00023396932,0.0017092712],"genre_scores_gemma":[0.9944811,0.00015054387,0.00066654786,0.00027801696,0.001021768,0.00018567404,0.00055509986,0.000101629535,0.002559628],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968435,0.00014021789,0.0004984441,0.00066855224,0.0009510025,0.0008982488],"domain_scores_gemma":[0.99768287,0.00013442936,0.000223551,0.00073214684,0.00051591214,0.0007110646],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034686277,0.0003947527,0.00069918646,0.00028374456,0.00023000137,0.000027677506,0.00021329106,0.00020981659,0.0029511594],"category_scores_gemma":[0.00021283749,0.00027437703,0.000093535215,0.0007095898,0.00050055323,0.00022010018,0.00011723389,0.00048300283,0.00008581131],"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":[0.0016291197,0.0010134616,0.20325214,0.0013523124,0.0013916522,0.0013840371,0.0017910433,0.0017547382,0.74684733,0.00011359064,0.022169696,0.017300878],"study_design_scores_gemma":[0.0052728066,0.00057851884,0.9787895,0.0010753601,0.00033505444,0.0004246954,0.00058370805,0.008363225,0.0033904412,0.00029883182,0.0004787473,0.0004091078],"about_ca_topic_score_codex":0.00017923063,"about_ca_topic_score_gemma":0.000009552475,"teacher_disagreement_score":0.7755374,"about_ca_system_score_codex":0.0007109278,"about_ca_system_score_gemma":0.00018581543,"threshold_uncertainty_score":0.99997085},"labels":[],"label_agreement":null},{"id":"W2136501536","doi":"10.1186/gm414","title":"2012 highlights in translational 'omics","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacogenomics; Personalized medicine; Translational medicine; Proteomics; Omics; Human genetics; Genomics; Medicine; Translational research; Precision medicine; Public health; Computational biology; Data science; Translational bioinformatics; Personal genomics; Systems biology; Human genome; Bioinformatics; Genome; Biology; Genetics; Computer science; Pharmacology; Pathology","score_opus":0.007061422190712894,"score_gpt":0.21905387133718188,"score_spread":0.21199244914646898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136501536","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":[0.9875917,0.005010664,0.00024881476,0.003693182,0.00016157587,0.00020478426,0.000014465459,0.000005998886,0.003068825],"genre_scores_gemma":[0.9965626,0.00050454604,0.00021434511,0.00059078244,0.00048164115,0.00002251768,0.00038530902,0.000012379653,0.0012258544],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938047,0.000015472398,0.00017174895,0.00018467665,0.00007932675,0.0001683339],"domain_scores_gemma":[0.99967176,0.0000057092893,0.000029607507,0.00016176666,0.000040751456,0.00009039741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007048728,0.00009355542,0.000110236695,0.00005495544,0.000026987125,0.0000050219905,0.00011041504,0.0000638564,0.00051313936],"category_scores_gemma":[0.000012140736,0.00007336351,0.000031061176,0.00005763658,0.00005976044,0.0000030227275,0.000021353264,0.000037431353,0.00007247862],"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":[0.000055034783,0.00011987341,0.007345103,0.00003202211,0.0000466719,0.000017173015,0.00030156504,0.0002051381,0.97798234,0.0013032039,0.009400885,0.0031910127],"study_design_scores_gemma":[0.0024006637,0.00032040974,0.4799781,0.000020043446,0.000025651432,0.00003711331,0.00016316849,0.00012990246,0.0037964021,0.0019961274,0.5107544,0.0003779693],"about_ca_topic_score_codex":0.00006791706,"about_ca_topic_score_gemma":0.000045335633,"teacher_disagreement_score":0.97418594,"about_ca_system_score_codex":0.0000065691584,"about_ca_system_score_gemma":0.00003645158,"threshold_uncertainty_score":0.5618516},"labels":[],"label_agreement":null},{"id":"W2138730742","doi":"10.1186/gm259","title":"Systems medicine and integrated care to combat chronic noncommunicable diseases","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":248,"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":"Universität Rostock; European Commission; Université Joseph Fourier; Institut National de la Santé et de la Recherche Médicale; National University of Ireland, Maynooth; Directorate for Biological Sciences; University of Leicester; National Institute for Health and Care Research; Wellcome Trust; Centre National de la Recherche Scientifique; National University of Ireland; Université du Luxembourg","keywords":"Systems medicine; Medicine; Precision medicine; Disease; Healthcare system; Health care; Scale (ratio); Systems biology; Personalized medicine; Risk analysis (engineering); Knowledge management; Computer science; Bioinformatics; Pathology","score_opus":0.06733988274244064,"score_gpt":0.3104110724445373,"score_spread":0.24307118970209668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138730742","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24882239,0.36268178,0.0014495292,0.013493056,0.0025113216,0.0063548232,0.00014918034,0.0012131853,0.36332473],"genre_scores_gemma":[0.9926565,0.001890642,0.00017923412,0.001127782,0.00087684335,0.00013421122,0.00045777674,0.00006566084,0.002611317],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977249,0.00008958019,0.00057707814,0.00053671945,0.0005228645,0.00054889655],"domain_scores_gemma":[0.99759537,0.0000878684,0.00012632343,0.0011384567,0.00024360474,0.00080837583],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025309206,0.00041122246,0.0009513717,0.00045681518,0.00015586,0.000017431701,0.00036114975,0.00008518053,0.0025146136],"category_scores_gemma":[0.00018397857,0.00028576385,0.000058129375,0.0006091633,0.0006745951,0.00010340504,0.00028470808,0.0002612475,0.00011361528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007960376,0.0029396282,0.11065176,0.048238043,0.0070750974,0.006898475,0.16550633,0.00041766412,0.030141752,0.08160299,0.42617577,0.11239212],"study_design_scores_gemma":[0.02152996,0.013298389,0.24072325,0.008549265,0.004051371,0.00025087318,0.1193022,0.0006046848,0.000058805705,0.0004453638,0.58990777,0.0012780698],"about_ca_topic_score_codex":0.0027833227,"about_ca_topic_score_gemma":0.0001214381,"teacher_disagreement_score":0.74383414,"about_ca_system_score_codex":0.00056564005,"about_ca_system_score_gemma":0.00025564924,"threshold_uncertainty_score":0.99995947},"labels":[],"label_agreement":null},{"id":"W2138748203","doi":"10.1186/gm442","title":"The Human Genome Organisation: towards next-generation ethics","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Intellectual property; Confidentiality; Autonomy; Research ethics; Human rights; Informed consent; Law; Political science; Bioethics; Harmonization; Sociology; Engineering ethics; Medicine","score_opus":0.043837814799873406,"score_gpt":0.3243243370123589,"score_spread":0.2804865222124855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138748203","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":[0.9553839,0.008576603,0.021050293,0.010226487,0.0006275994,0.0004821029,0.0000039709903,0.000039110524,0.0036099479],"genre_scores_gemma":[0.9933908,0.0007449696,0.00025625748,0.00078094756,0.002366245,0.000038147464,0.00023916374,0.00002399314,0.0021594903],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991084,0.000041440522,0.00022234643,0.00021947386,0.0001890322,0.00021932035],"domain_scores_gemma":[0.99935544,0.00001343098,0.000046002675,0.00037321652,0.00012346958,0.00008845874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037504456,0.00013331846,0.00010533567,0.000026256763,0.00031372908,0.00003986018,0.00020611363,0.00012815159,0.0003401297],"category_scores_gemma":[0.00011054351,0.000091797214,0.00003223732,0.000071295566,0.00011427108,0.000003605752,0.00006843492,0.00016460635,0.00006318692],"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":[0.0000011693527,0.000005055963,0.000039349157,0.000008216059,0.00002106362,4.6909136e-7,0.00044020725,0.00013108997,0.99626744,0.00012607164,0.0011257713,0.001834099],"study_design_scores_gemma":[0.0012673321,0.00088354596,0.058181945,0.000015796948,0.00007137533,0.000050464132,0.0016263477,0.000500098,0.1742969,0.0005776463,0.761922,0.0006065129],"about_ca_topic_score_codex":0.000069270885,"about_ca_topic_score_gemma":0.000041232874,"teacher_disagreement_score":0.8219705,"about_ca_system_score_codex":0.000018894641,"about_ca_system_score_gemma":0.00004703543,"threshold_uncertainty_score":0.37433815},"labels":[],"label_agreement":null},{"id":"W2139248228","doi":"10.1186/gm530","title":"International ethics harmonization and the global alliance for genomics and health","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"Genome Canada","keywords":"Data sharing; Interoperability; Knowledge management; Accountability; Medicine; Business; Computer science; Political science; World Wide Web","score_opus":0.4946824459755904,"score_gpt":0.5873204689212911,"score_spread":0.09263802294570067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139248228","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009176811,0.004396127,0.082518496,0.8983763,0.00042375273,0.00097443955,0.000017318473,0.000028061078,0.0040887217],"genre_scores_gemma":[0.8634036,0.04766157,0.015825178,0.06824089,0.002633414,0.00006497284,0.00012667254,0.00003281253,0.0020108905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860823,0.00009936924,0.000344099,0.0002636766,0.0004931379,0.00019150227],"domain_scores_gemma":[0.9953945,0.0036749174,0.00010875662,0.00023220284,0.00039517757,0.0001943949],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.010361982,0.00008734282,0.00027767834,0.000023272181,0.00016239079,0.000016979542,0.00014648018,0.00015536926,0.000025072235],"category_scores_gemma":[0.013989437,0.000053825228,0.000023066037,0.00009010494,0.00090757105,0.000022221187,0.00010669434,0.00073175126,0.00000332553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015951522,0.00008175475,0.02394197,0.0014754852,0.00023180952,0.0000036704898,0.005758411,0.000019360594,0.000481658,0.8949223,0.0023444626,0.06914393],"study_design_scores_gemma":[0.021073772,0.0017453153,0.10866504,0.0005491127,0.00011391073,0.00009545259,0.0006699863,0.013430249,0.000022245436,0.2951187,0.55832314,0.00019310975],"about_ca_topic_score_codex":0.00008064942,"about_ca_topic_score_gemma":0.000092604496,"teacher_disagreement_score":0.85422677,"about_ca_system_score_codex":0.00013039015,"about_ca_system_score_gemma":0.00023373304,"threshold_uncertainty_score":0.99431616},"labels":[],"label_agreement":null},{"id":"W2139866374","doi":"10.1186/gm549","title":"A genome scale overexpression screen to reveal drug activity in human cells","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"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 Toronto","funders":"National Human Genome Research Institute","keywords":"Human genome; Computational biology; Human genetics; ORFS; Drug; Drug discovery; Drug action; Drug resistance; Gene; Genome; Biology; Transcription factor; Genetics; Bioinformatics; Pharmacology","score_opus":0.005995815649893305,"score_gpt":0.2773962285039243,"score_spread":0.271400412854031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139866374","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":[0.988015,0.00027989745,0.008710072,0.00033976862,0.00008602768,0.00022574056,0.00000880466,0.000013696515,0.0023210093],"genre_scores_gemma":[0.9966971,0.00002587539,0.00053765834,0.00027562503,0.00072550867,0.000015053621,0.00005770945,0.000024661462,0.0016407507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989592,0.000046637957,0.00018738082,0.0003636391,0.00014883127,0.00029434328],"domain_scores_gemma":[0.99934703,0.000009193216,0.000036606983,0.0004078288,0.000026389422,0.00017292872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003566883,0.00016113423,0.00021697753,0.00009550591,0.000050378738,0.000005930405,0.000200325,0.00007983122,0.000058084283],"category_scores_gemma":[0.000028744847,0.00014392569,0.000036987392,0.00011712544,0.00004087216,0.0000020992686,0.00014732587,0.00010875377,0.000016344415],"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":[0.000029037681,0.000023675202,0.0004311576,0.000024592211,0.0000057176667,0.0000013222817,0.00022040897,0.00077226677,0.99708307,0.0000024695062,0.000531064,0.0008752266],"study_design_scores_gemma":[0.0012629919,0.0005090926,0.12361395,0.00009328355,0.000013015138,0.0000049762643,0.000073128904,0.000064700056,0.81090754,0.000034767832,0.06309625,0.00032632888],"about_ca_topic_score_codex":0.0001425025,"about_ca_topic_score_gemma":0.00009363775,"teacher_disagreement_score":0.18617554,"about_ca_system_score_codex":0.000022082397,"about_ca_system_score_gemma":0.0000114148825,"threshold_uncertainty_score":0.5869119},"labels":[],"label_agreement":null},{"id":"W2140405760","doi":"10.1186/gm496","title":"A robust prognostic signature for hormone-positive node-negative breast cancer","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"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":"Canadian Institutes of Health Research; National Cancer Institute; Stand Up To Cancer; Office of Science; U.S. Department of Energy","keywords":"Medicine; Breast cancer; Oncology; Internal medicine; Framingham Risk Score; Receiver operating characteristic; Random forest; Survival analysis; Gene signature; Disease; Bioinformatics; Cancer; Gene; Computer science; Machine learning; Biology; Gene expression","score_opus":0.011537361296494289,"score_gpt":0.2419314567432001,"score_spread":0.2303940954467058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140405760","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":[0.86279976,0.053331655,0.009153572,0.06029805,0.00096603524,0.0064767143,0.0031498778,0.00011712576,0.0037071817],"genre_scores_gemma":[0.99325144,0.00053307385,0.00073662517,0.0013841584,0.0013443573,0.0013695622,0.00044717392,0.000039848677,0.00089377246],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988992,0.000024907114,0.00017180498,0.00042877975,0.00013432252,0.00034094532],"domain_scores_gemma":[0.9991839,0.000049530616,0.00009109373,0.00021481108,0.00035113317,0.0001095349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006243071,0.00024511773,0.0002625175,0.000041280484,0.00012405087,0.0000094427605,0.00012954704,0.000113632486,0.00019749762],"category_scores_gemma":[0.00007212582,0.00017704221,0.00006508875,0.00011105845,0.00022330198,0.0000054745956,0.000074409494,0.00008445403,0.000019699077],"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":[0.0015084764,0.00046795263,0.020238722,0.00021610557,0.0029703677,0.00001932323,0.0033667565,0.0006240145,0.82098454,0.000092456336,0.1183033,0.03120798],"study_design_scores_gemma":[0.0063531175,0.001157078,0.975478,0.00016052944,0.00045732406,0.00007699548,0.0012299313,0.00006474127,0.0084230155,0.0003063927,0.005676268,0.0006166424],"about_ca_topic_score_codex":0.0006416325,"about_ca_topic_score_gemma":0.0001047594,"teacher_disagreement_score":0.95523924,"about_ca_system_score_codex":0.000063411906,"about_ca_system_score_gemma":0.000065362976,"threshold_uncertainty_score":0.7219572},"labels":[],"label_agreement":null},{"id":"W2140736855","doi":"10.1186/gm486","title":"BAIT: Organizing genomes and mapping rearrangements in single cells","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"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 British Columbia; BC Cancer Agency","funders":"National Institutes of Health; Canadian Institutes of Health Research; Terry Fox Foundation","keywords":"Sister chromatids; Genome; Computational biology; Software; Biology; Computer science; Reference genome; Genetics; Gene; Programming language","score_opus":0.009268064953422044,"score_gpt":0.19607092402243387,"score_spread":0.1868028590690118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140736855","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":[0.99403024,0.0028208308,0.0003006253,0.00049758476,0.00010541042,0.000219659,0.0000031680427,0.000007166042,0.0020153103],"genre_scores_gemma":[0.99642116,0.00070501957,0.0014112558,0.00042884456,0.00020905878,0.000012127784,0.000062242834,0.000023683433,0.0007266125],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918133,0.000020105685,0.0002200511,0.00026177653,0.00008009408,0.0002366407],"domain_scores_gemma":[0.9996032,0.0000064199553,0.000058992435,0.00021098745,0.000039275877,0.00008113159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014347107,0.00012847804,0.00015953276,0.00007656367,0.000042976484,0.000015978016,0.0001216214,0.00007249403,0.00016306223],"category_scores_gemma":[0.000020012742,0.00011557513,0.000015414167,0.00009848045,0.00006886451,0.0000031814127,0.00012513578,0.00006085733,0.000027076556],"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":[0.000002338973,0.000017719036,0.0032917997,0.000027038894,0.000015299616,0.0000026448026,0.0004056389,0.000013248961,0.993165,0.000006928098,0.0002763129,0.0027759965],"study_design_scores_gemma":[0.010611732,0.0026102425,0.5522155,0.00037430887,0.00010816448,0.00015956834,0.012010589,0.00206689,0.13496663,0.0021573857,0.2803323,0.0023866564],"about_ca_topic_score_codex":0.0000780138,"about_ca_topic_score_gemma":0.000030763626,"teacher_disagreement_score":0.8581984,"about_ca_system_score_codex":0.000024299741,"about_ca_system_score_gemma":0.000013873718,"threshold_uncertainty_score":0.4713017},"labels":[],"label_agreement":null},{"id":"W2144889117","doi":"10.1186/gm262","title":"Towards a data sharing Code of Conduct for international genomic research","year":2011,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Wellcome Trust","keywords":"Biobank; Data sharing; Context (archaeology); Genomics; Data science; Engineering ethics; Knowledge management; Computer science; Medicine; Bioinformatics; Biology; Engineering; Genetics; Genome","score_opus":0.958708070608172,"score_gpt":0.7003965024361307,"score_spread":0.25831156817204126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144889117","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":[0.5842754,0.0061934763,0.011117103,0.09017685,0.003906605,0.0054930244,0.0012216143,0.00018205338,0.29743382],"genre_scores_gemma":[0.9697581,0.0014378099,0.018688133,0.00063742325,0.0018934183,0.00006372659,0.00051022146,0.00005825837,0.0069528962],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99649996,0.00006679207,0.0007739889,0.00072951074,0.0014706696,0.0004590987],"domain_scores_gemma":[0.9926489,0.0024858785,0.00012971481,0.0020290748,0.0024037927,0.00030261817],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0187038,0.000121291894,0.00047016307,0.00039432096,0.000075094205,0.0000069492557,0.0022833003,0.00021054148,0.002567478],"category_scores_gemma":[0.03852342,0.00009269559,0.000057323992,0.00029524555,0.001080761,0.00007482247,0.0017448837,0.0012973372,0.000053341857],"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":[0.0093482165,0.0020426947,0.052934237,0.0058231563,0.002514904,0.00036631522,0.021695966,0.0000034350712,0.6035852,0.21800132,0.03506281,0.048621748],"study_design_scores_gemma":[0.024747804,0.0112690255,0.25115284,0.0031646807,0.00057218334,0.00018933324,0.006517313,0.004037544,0.015111689,0.36122626,0.32124138,0.0007699398],"about_ca_topic_score_codex":0.00049303065,"about_ca_topic_score_gemma":0.00012301454,"teacher_disagreement_score":0.5884735,"about_ca_system_score_codex":0.0001419768,"about_ca_system_score_gemma":0.00065123383,"threshold_uncertainty_score":0.9983443},"labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W2151903883","doi":"10.1186/gm16","title":"The cycle of genome-directed medicine","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children","funders":"","keywords":"Pace; Genome; Human genetics; Health care; Genomics; Human genome; Systems biology; Data science; Medicine; Computational biology; Computer science; Biology; Genetics; Political science; Geography; Gene","score_opus":0.005892209663735875,"score_gpt":0.23703514452346464,"score_spread":0.23114293485972875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151903883","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":[0.9276693,0.050795943,0.00023856403,0.007056973,0.00035348578,0.0003424619,0.000025950681,0.000035907906,0.013481455],"genre_scores_gemma":[0.9945348,0.0023260415,0.000065883774,0.00089555717,0.00089348276,0.000005353616,0.00018021473,0.000014018054,0.0010846672],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989404,0.000041020015,0.00033798284,0.00024432794,0.00018169358,0.00025459452],"domain_scores_gemma":[0.99909234,0.000023355638,0.00013286747,0.00048167235,0.00013863413,0.00013113287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985111,0.00015238843,0.00023530745,0.0000482139,0.00013062228,0.0000037249729,0.0003209539,0.00006837156,0.00009870079],"category_scores_gemma":[0.00018398148,0.00008896505,0.000059151145,0.00014619573,0.0003130925,0.0000012201809,0.000046978304,0.000062598185,0.0000072387284],"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":[0.0001204726,0.00005237403,0.00032969713,0.000015225584,0.000070888585,0.000011744375,0.00023582907,0.00006805553,0.98879343,0.00029223537,0.0037740972,0.0062359646],"study_design_scores_gemma":[0.003757662,0.0044051213,0.32331,0.00007595257,0.00021205554,0.0001012695,0.0010247666,0.00009326981,0.009187268,0.0031825562,0.65411985,0.00053024455],"about_ca_topic_score_codex":0.00003247071,"about_ca_topic_score_gemma":0.000015180254,"teacher_disagreement_score":0.97960615,"about_ca_system_score_codex":0.0000103763105,"about_ca_system_score_gemma":0.00004868814,"threshold_uncertainty_score":0.36278892},"labels":[],"label_agreement":null},{"id":"W2152314234","doi":"10.1186/s13073-014-0077-3","title":"Enhancer alterations in cancer: a source for a cell identity crisis","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"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 Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; National Cancer Institute; Ontario Institute for Cancer Research; National Institutes of Health; Prostate Cancer Canada; Princess Margaret Cancer Foundation; Movember Foundation","keywords":"Enhancer; Epigenetics; Biology; Carcinogenesis; Cell fate determination; Enhancer RNAs; Epigenomics; Cell; Genetics; Regulation of gene expression; Cell type; Cell biology; Cancer research; Cancer; Computational biology; Gene; Gene expression; Transcription factor; DNA methylation","score_opus":0.007220914704698078,"score_gpt":0.2639331178274433,"score_spread":0.2567122031227452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152314234","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":[0.8817112,0.0014811034,0.11461682,0.0010957136,0.00017288822,0.00022847955,0.00002027627,0.0000058265528,0.0006677057],"genre_scores_gemma":[0.9956603,0.0004069663,0.0010095437,0.000788159,0.0005964326,0.00011342149,0.00014985984,0.000018274863,0.0012570666],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929565,0.000020728408,0.00019558823,0.00023325311,0.00007007072,0.00018469115],"domain_scores_gemma":[0.99959064,0.000010156492,0.00006389689,0.00022518827,0.000054239103,0.00005587042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022659419,0.00009884607,0.00014368414,0.00004599283,0.00005556897,0.000009743396,0.00014720009,0.00006459142,0.000051578983],"category_scores_gemma":[0.000036330573,0.00009076394,0.000039367522,0.000070695794,0.000033479337,0.0000025020604,0.00004651068,0.00004532158,0.00000438391],"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":[0.000032293465,0.000055883833,0.00064548216,0.00007571517,0.00001793164,2.8241615e-7,0.0004786375,0.0011784604,0.99322164,0.0001530724,0.0027923796,0.0013482127],"study_design_scores_gemma":[0.010007235,0.0027315277,0.012433582,0.00011399136,0.0002035506,0.0000138631285,0.0018283883,0.022588346,0.11018956,0.0041454807,0.83454317,0.0012013166],"about_ca_topic_score_codex":0.00022671277,"about_ca_topic_score_gemma":0.0009865781,"teacher_disagreement_score":0.8830321,"about_ca_system_score_codex":0.000025249494,"about_ca_system_score_gemma":0.00003390838,"threshold_uncertainty_score":0.3701246},"labels":[],"label_agreement":null},{"id":"W2152885873","doi":"10.1186/gm351","title":"Genome-wide approaches to antidepressant treatment: working towards understanding and predicting response","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Treatment of Major Depression","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Medical Research Council; National Institute for Health and Care Research; South London and Maudsley NHS Foundation Trust","keywords":"Pharmacogenetics; Antidepressant; Pharmacogenomics; Context (archaeology); Serotonergic; Medicine; Drug response; Trait; Genome-wide association study; Bioinformatics; Psychiatry; Clinical psychology; Genetics; Genotype; Gene; Biology; Drug; Pharmacology; Anxiety; Internal medicine; Serotonin","score_opus":0.24556127439072872,"score_gpt":0.30141862128210656,"score_spread":0.055857346891377835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152885873","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":[0.970719,0.011339122,0.0025609436,0.00765749,0.00029364863,0.0011966069,0.000008409823,0.0002262029,0.0059985705],"genre_scores_gemma":[0.9949221,0.00038438907,0.0018001489,0.0003612256,0.0010368602,0.00007604601,0.000054407737,0.000078763645,0.0012860696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974703,0.0001682686,0.00046035662,0.0005525125,0.0005359541,0.0008126135],"domain_scores_gemma":[0.99807906,0.00033860153,0.00013951275,0.0005632182,0.000023639726,0.00085593935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011272115,0.0004216437,0.0007155693,0.00048191182,0.00026712575,0.000024296733,0.00011154154,0.00013785668,0.00013448978],"category_scores_gemma":[0.00043591607,0.00029315797,0.000078382334,0.0003859228,0.00017058486,0.00014681095,0.00014931809,0.00019445122,0.000030766343],"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":[0.003010732,0.00043099205,0.93366724,0.00013821805,0.00046843727,0.00019253339,0.016340142,0.000026626347,0.035059497,0.00015560015,0.000080223814,0.010429749],"study_design_scores_gemma":[0.0053107054,0.0017700159,0.96782875,0.00055380666,0.0006345192,0.00032094782,0.0039085294,0.000054007774,0.00094601716,0.00006755452,0.018289568,0.00031555907],"about_ca_topic_score_codex":0.000049006012,"about_ca_topic_score_gemma":0.000005256842,"teacher_disagreement_score":0.034161523,"about_ca_system_score_codex":0.00085221254,"about_ca_system_score_gemma":0.00006815813,"threshold_uncertainty_score":0.9999521},"labels":[],"label_agreement":null},{"id":"W2153442905","doi":"10.1186/s13073-014-0096-0","title":"Design, methods, and participant characteristics of the Impact of Personal Genomics (PGen) Study, a prospective cohort study of direct-to-consumer personal genomic testing customers","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"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":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Human Genome Research Institute; Canadian Institutes of Health Research; National Center for Research Resources; School of Public Health, University of Michigan; Johns Hopkins University; Brigham and Women's Hospital; University of Minnesota; National Institutes of Health","keywords":"Personal genomics; Genomics; Human genetics; Medicine; Cohort study; Genetics; Internal medicine; Biology; Genome","score_opus":0.039676428499552045,"score_gpt":0.3430130584539373,"score_spread":0.30333662995438526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153442905","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":[0.99636745,0.00055357104,0.0012058709,0.00002145145,0.00010338389,0.0016157469,0.000038856175,0.000004181189,0.00008949392],"genre_scores_gemma":[0.9975851,0.000023197736,0.0020524065,0.000022562865,0.00013855133,0.000100320205,0.000007858397,0.00003118095,0.000038809136],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981154,0.00040677626,0.00058294326,0.0004219203,0.00023342947,0.00023951226],"domain_scores_gemma":[0.99859244,0.00013687923,0.00044056546,0.00038696048,0.00034291827,0.00010025997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016931068,0.00021920454,0.0006161129,0.00009708792,0.000082321436,0.0000043666505,0.00022561871,0.00006109262,0.000019954356],"category_scores_gemma":[0.00071243406,0.00015172998,0.00006787228,0.00026889457,0.00031821424,0.000002945782,0.00018978248,0.00010935372,6.124419e-7],"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":[0.00016061933,0.00022939501,0.43526268,0.00002267736,0.0005544423,4.1115516e-7,0.011962611,0.00026833863,0.55001926,3.2509627e-7,0.000012622054,0.0015066348],"study_design_scores_gemma":[0.001338179,0.00406028,0.9777373,0.000021124137,0.0004924225,0.000010321706,0.0043119597,0.00074671605,0.011072134,0.000004808488,0.000045237182,0.00015951048],"about_ca_topic_score_codex":0.00036782448,"about_ca_topic_score_gemma":0.000021901355,"teacher_disagreement_score":0.5424746,"about_ca_system_score_codex":0.00011272967,"about_ca_system_score_gemma":0.00029854118,"threshold_uncertainty_score":0.6187369},"labels":[],"label_agreement":null},{"id":"W2153898423","doi":"10.1186/gm406","title":"MicroRNA paraffin-based studies in osteosarcoma reveal reproducible independent prognostic profiles at 14q32","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Clinical Research Institute","funders":"National Institutes of Health","keywords":"Osteosarcoma; microRNA; Proportional hazards model; Medicine; Oncology; Hazard ratio; Biomarker; Survival analysis; Confounding; Internal medicine; Bioinformatics; Cancer research; Pathology; Biology; Gene; Confidence interval; Genetics","score_opus":0.028891072974346704,"score_gpt":0.2865514679436615,"score_spread":0.2576603949693148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153898423","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":[0.98067325,0.015927952,0.00003119707,0.001779958,0.00017649413,0.0011538666,0.000009151293,0.000023145845,0.00022498338],"genre_scores_gemma":[0.9966416,0.0001217948,0.0005057178,0.00036317998,0.000457399,0.00027880486,0.00036613867,0.000032044452,0.0012333321],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981777,0.00010932756,0.00043341317,0.0006879097,0.00022809437,0.00036356683],"domain_scores_gemma":[0.9988256,0.0000313726,0.00016009652,0.00067535264,0.0001889567,0.00011861646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042914573,0.00023023666,0.00029627557,0.0001253437,0.00007143244,0.000008569919,0.0002083057,0.00011769733,0.00016711121],"category_scores_gemma":[0.000479849,0.00018801483,0.00005297853,0.0001859645,0.00025598172,0.0000049333817,0.00017380952,0.00009657168,0.00010370048],"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":[0.00007306453,0.00007504113,0.03319063,0.00017156027,0.00005504871,0.000018361512,0.00018022658,0.00010605963,0.9602135,0.0000038878925,0.005255447,0.0006571821],"study_design_scores_gemma":[0.0038545812,0.0010042639,0.556051,0.00036180732,0.000101701684,0.00007744277,0.00050469424,0.000079191894,0.4242018,0.00024404732,0.012899839,0.0006196095],"about_ca_topic_score_codex":0.00005107563,"about_ca_topic_score_gemma":0.000051883904,"teacher_disagreement_score":0.5360117,"about_ca_system_score_codex":0.00011605641,"about_ca_system_score_gemma":0.00008715184,"threshold_uncertainty_score":0.76670223},"labels":[],"label_agreement":null},{"id":"W2157177751","doi":"10.1186/s13073-014-0057-7","title":"A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Drug; Drug discovery; Computational biology; Pancreatic cancer; Classifier (UML); Cancer drugs; Cancer; Computer science; Bioinformatics; Biology; Medicine; Artificial intelligence; Pharmacology; Internal medicine","score_opus":0.05145719280003041,"score_gpt":0.3256831550931374,"score_spread":0.274225962293107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157177751","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02174352,0.0024434405,0.9734223,0.00097467314,0.00045486176,0.0007698019,0.000002500843,0.00011691459,0.00007197058],"genre_scores_gemma":[0.3417464,0.000012940496,0.65704674,0.0005273707,0.000422054,0.000059570073,0.0000075999437,0.00002753268,0.00014981935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99699825,0.0006836071,0.00055239303,0.00069865887,0.00067463494,0.00039243596],"domain_scores_gemma":[0.9982428,0.00069047156,0.00025698732,0.00041485755,0.00014443652,0.0002504688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035514357,0.0002814022,0.0006127905,0.00031698812,0.00025397187,0.00012166419,0.00059210486,0.000046999154,0.000008945013],"category_scores_gemma":[0.000582376,0.00022792548,0.00004213812,0.00063877966,0.000083695275,0.0003281003,0.00049517467,0.00024023089,0.000007810538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025311778,0.00008297124,0.00025005653,0.0031119431,0.00013931243,0.0000071270847,0.008648836,0.95205104,0.026285306,0.006253484,0.00014206773,0.0030025272],"study_design_scores_gemma":[0.0008153339,0.00009310557,0.0023547318,0.0011604137,0.00006124724,0.000050410643,0.000083028346,0.99386066,0.00023293351,0.0007145313,0.00029642796,0.00027715735],"about_ca_topic_score_codex":0.0007132998,"about_ca_topic_score_gemma":0.0000061750725,"teacher_disagreement_score":0.32000288,"about_ca_system_score_codex":0.00011414834,"about_ca_system_score_gemma":0.000069058864,"threshold_uncertainty_score":0.92945313},"labels":[],"label_agreement":null},{"id":"W2158402974","doi":"10.1186/gm79","title":"Lithium: a key to the genetics of bipolar disorder","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Bipolar disorder; Lithium (medication); Treatment of bipolar disorder; Homogeneous; Medicine; Genetic predisposition; Psychiatry; Human genetics; Bioinformatics; Gene; Genetics; Biology; Mania","score_opus":0.014474386773420445,"score_gpt":0.26788704953691994,"score_spread":0.2534126627634995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158402974","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":[0.4424018,0.39581832,0.0033444562,0.14023423,0.00034948654,0.0019504458,0.00003293247,0.00010459832,0.01576373],"genre_scores_gemma":[0.9916032,0.002254844,0.0007398946,0.0030533841,0.00035899846,0.000014009629,0.000036043974,0.000018382327,0.001921255],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988565,0.000029388715,0.0002973101,0.00021194501,0.00034948508,0.00025540424],"domain_scores_gemma":[0.9990697,0.000029299345,0.00005609464,0.000556713,0.00009891232,0.00018931775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020980592,0.0001640703,0.00034953846,0.00012148916,0.00006470315,0.000003054095,0.00014936128,0.00005595429,0.00028922025],"category_scores_gemma":[0.000057350713,0.000088904366,0.00006970203,0.00040623694,0.000091980306,0.000012670077,0.000030110996,0.00013554556,0.00008557915],"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":[0.0005072477,0.0016232758,0.18594387,0.00020285338,0.00057787227,0.000044826058,0.020473538,0.00008340862,0.05147344,0.0019165602,0.007148437,0.73000467],"study_design_scores_gemma":[0.001300595,0.0019252757,0.4562413,0.000044452114,0.00020726644,0.000036461435,0.00021912715,0.000015387684,0.00030184988,0.00017855593,0.5394584,0.00007130307],"about_ca_topic_score_codex":0.000107929256,"about_ca_topic_score_gemma":0.00007693773,"teacher_disagreement_score":0.7299334,"about_ca_system_score_codex":0.000030597992,"about_ca_system_score_gemma":0.000050168925,"threshold_uncertainty_score":0.36254147},"labels":[],"label_agreement":null},{"id":"W2159208695","doi":"10.1186/gm8","title":"Race and ancestry in biomedical research: exploring the challenges","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome Canada; Centre for Global Health Research; SickKids Foundation; University Health Network; University of Toronto; Hospital for Sick Children; University of British Columbia; University of Alberta","funders":"National Institute on Drug Abuse","keywords":"Race (biology); Terminology; Variety (cybernetics); Context (archaeology); Human genetic variation; Human genetics; Engineering ethics; Variation (astronomy); Medicine; Data science; Sociology; Biology; Computer science; Human genome; Genetics","score_opus":0.15829630189789295,"score_gpt":0.35783021171917995,"score_spread":0.199533909821287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159208695","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":[0.92202836,0.05445284,0.000040243907,0.021390574,0.00013196426,0.00013097224,0.0000012296732,0.000006079233,0.001817721],"genre_scores_gemma":[0.93975323,0.05829365,0.0001076558,0.0004338059,0.0010836405,0.000016007312,0.000010872414,0.000007816821,0.00029331443],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988961,0.00010459468,0.00016106984,0.0002991754,0.00023718871,0.0003018238],"domain_scores_gemma":[0.9994753,0.000035780085,0.000024134617,0.0003157597,0.00004478435,0.00010425967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012311456,0.000095051786,0.00013923635,0.000048015376,0.000113185866,0.0000069071302,0.00019431679,0.00008790446,0.000008578957],"category_scores_gemma":[0.00019063697,0.00006315682,0.00002072013,0.00012667297,0.00050271366,0.000002472531,0.000074660464,0.00021792931,0.00000312334],"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":[0.00010387217,0.00015054012,0.0013601555,0.000070730486,0.000046937377,0.0000407257,0.016265446,0.000016601778,0.8461155,0.00088886765,0.0047335797,0.13020703],"study_design_scores_gemma":[0.002520349,0.0028681422,0.34252107,0.00014010293,0.000018948895,0.00006450674,0.023187224,0.000047873342,0.0073745805,0.0029072147,0.61795855,0.0003914173],"about_ca_topic_score_codex":0.000010905733,"about_ca_topic_score_gemma":0.000020949596,"teacher_disagreement_score":0.83874094,"about_ca_system_score_codex":0.000012013038,"about_ca_system_score_gemma":0.000034190343,"threshold_uncertainty_score":0.25754604},"labels":[],"label_agreement":null},{"id":"W2165145892","doi":"10.1186/gm344","title":"Pharmacogene regulatory elements: from discovery to applications","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"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 Institute of General Medical Sciences; Canadian Institutes of Health Research; Liver Center, University of California, San Francisco; University of California, San Francisco; National Institutes of Health","keywords":"Computational biology; Chromatin immunoprecipitation; Enhancer; Pharmacogenomics; Chromatin; DNA sequencing; Biology; Massive parallel sequencing; Genetics; Gene; Promoter; Transcription factor","score_opus":0.008180176494371352,"score_gpt":0.2579438825776704,"score_spread":0.24976370608329906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165145892","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":[0.9731236,0.003945377,0.020247223,0.00049541396,0.00024613322,0.0003239017,0.00011221105,0.000011806038,0.0014943398],"genre_scores_gemma":[0.9910166,0.0002296886,0.0022559245,0.0018523269,0.0023354026,0.00010169471,0.00096646405,0.000026955342,0.0012149462],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913013,0.00001789105,0.00022677632,0.00023007848,0.00012175677,0.0002733808],"domain_scores_gemma":[0.99927396,0.0000058910227,0.00006505445,0.00041823383,0.00003382119,0.00020303906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705536,0.00013097879,0.00012972359,0.000037356123,0.000063201056,0.0000071755885,0.00020491618,0.000054450076,0.00014915016],"category_scores_gemma":[0.000012999823,0.00011679366,0.00003618811,0.00008091228,0.00004543103,0.000004223965,0.00013053347,0.000045583307,0.000075621785],"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":[0.000013616158,0.000044937122,0.0028991026,0.000006389631,0.00005675305,2.5995143e-7,0.00009749002,0.000027139517,0.9924628,0.000126155,0.0018731558,0.0023921882],"study_design_scores_gemma":[0.0009877365,0.00017734595,0.043710895,0.000011765324,0.0000932518,0.0000068228806,0.00028092522,0.00002681123,0.051126834,0.00017915481,0.90305114,0.00034730267],"about_ca_topic_score_codex":0.00001811473,"about_ca_topic_score_gemma":0.000006675154,"teacher_disagreement_score":0.941336,"about_ca_system_score_codex":0.000030234532,"about_ca_system_score_gemma":0.000022862081,"threshold_uncertainty_score":0.4762707},"labels":[],"label_agreement":null},{"id":"W2165240302","doi":"10.1186/gm470","title":"Pediatric high-grade astrocytomas: a distinct neuro-oncological paradigm","year":2013,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Children's Hospital; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Genome British Columbia; Fonds de Recherche du Québec - Santé; Genome Canada; McGill University","keywords":"Epigenome; Epigenetics; Histone; Biology; DNA methylation; Epigenomics; Genetics; Gene; Transcriptome; Cancer research; Computational biology; Gene expression","score_opus":0.06971515905401356,"score_gpt":0.33331652559131525,"score_spread":0.2636013665373017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165240302","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":[0.0010720221,0.99212295,0.000021231328,0.0014944554,0.00079377374,0.0034697496,0.000072678275,0.00020969281,0.00074346253],"genre_scores_gemma":[0.00081503886,0.9901452,0.00031066703,0.00038957375,0.0051303236,0.0014235813,0.001243914,0.00014278133,0.00039892702],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99555075,0.00023403091,0.001396967,0.0011250515,0.00079947774,0.000893743],"domain_scores_gemma":[0.99646026,0.0008417307,0.00066825165,0.0010519951,0.00008111705,0.00089662225],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029411569,0.0011061792,0.004952972,0.00066058215,0.00013547891,0.000028876202,0.000401462,0.0005349925,0.0026910605],"category_scores_gemma":[0.0003956341,0.0006176161,0.00071640307,0.0009579546,0.00023726102,0.000045300152,0.0001849448,0.0008689601,0.0019264711],"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":[0.000045329518,0.00211666,0.0013376989,0.02500119,0.0011939122,0.008370225,0.0000832723,5.2134277e-7,0.000009657779,0.0005039208,0.03019133,0.93114626],"study_design_scores_gemma":[0.0029650093,0.0024600031,0.003693925,0.0025645078,0.009844088,0.001563835,0.000010263537,0.0000012809503,3.3394934e-7,0.000052822845,0.9763999,0.00044405347],"about_ca_topic_score_codex":0.00008229776,"about_ca_topic_score_gemma":0.0000039218107,"teacher_disagreement_score":0.94620854,"about_ca_system_score_codex":0.00049362116,"about_ca_system_score_gemma":0.00034798958,"threshold_uncertainty_score":0.99962753},"labels":[],"label_agreement":null},{"id":"W2165366478","doi":"10.1186/s13073-014-0101-7","title":"A phylogeny-based sampling strategy and power calculator informs genome-wide associations study design for microbial pathogens","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":35,"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 de Montréal","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Medical Research Council; Directorate for Biological Sciences; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Wellcome Trust","keywords":"Biology; Computational biology; Genome; Mycobacterium tuberculosis; Genomics; Human genetics; Genetics; Evolutionary biology; Tuberculosis; Medicine; Gene","score_opus":0.053985700629319164,"score_gpt":0.3166304842814506,"score_spread":0.2626447836521314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165366478","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":[0.9592292,0.0003420885,0.03562465,0.0011673952,0.00011688692,0.0028444966,0.00015337112,0.00007199586,0.00044996312],"genre_scores_gemma":[0.9941585,0.000036928035,0.002793271,0.0016667066,0.00053815794,0.00024835675,0.00035841952,0.00004745546,0.00015221671],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99787855,0.0001033516,0.0005263638,0.00042837448,0.0004222461,0.0006411105],"domain_scores_gemma":[0.9976463,0.00091405027,0.0001530976,0.00039764273,0.00034657086,0.00054237584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015552545,0.00027868777,0.0006589403,0.00029667778,0.00024007882,0.000039720853,0.0001339695,0.0001267792,0.00023442555],"category_scores_gemma":[0.0020089252,0.00020914678,0.00009912452,0.0002852663,0.00012399653,0.000059862068,0.00004817378,0.00021398086,0.00002311717],"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":[0.0019661882,0.0017161699,0.33404186,0.00061733543,0.0010461111,0.00008419204,0.005600515,0.0007394056,0.64679766,0.00017994667,0.0021025683,0.005108026],"study_design_scores_gemma":[0.011183237,0.0077072927,0.9619864,0.000072979434,0.0004318605,0.000014527318,0.0009165115,0.00052578765,0.00048463608,0.00012897898,0.016198738,0.0003490187],"about_ca_topic_score_codex":0.000071312934,"about_ca_topic_score_gemma":0.00003158277,"teacher_disagreement_score":0.6463131,"about_ca_system_score_codex":0.00015312125,"about_ca_system_score_gemma":0.00026356644,"threshold_uncertainty_score":0.85287577},"labels":[],"label_agreement":null},{"id":"W2166424138","doi":"10.1186/gm341","title":"Serum metabolomic profile as a means to distinguish stage of colorectal cancer","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"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 Calgary","funders":"Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Alberta Cancer Foundation","keywords":"Metabolomics; Medicine; Colorectal cancer; Magnetic resonance imaging; Metabolome; Internal medicine; Metastasis; Stage (stratigraphy); Gastroenterology; Oncology; Cancer; Metabolite; Radiology; Bioinformatics; Biology","score_opus":0.013534401439246705,"score_gpt":0.28841691350220366,"score_spread":0.27488251206295694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166424138","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":[0.97951806,0.010880184,0.00023618048,0.00060460705,0.0005520396,0.00034641157,0.00020465281,0.000010797638,0.0076470533],"genre_scores_gemma":[0.99025184,0.0007798893,0.00096441316,0.00040634288,0.0008717783,0.000079673235,0.00006114158,0.000025044963,0.0065598674],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988339,0.00003866858,0.00027336017,0.00026150115,0.00017995412,0.00041263193],"domain_scores_gemma":[0.99931365,0.000013042233,0.00012335816,0.00024339493,0.00011510677,0.0001914563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000383957,0.00017987598,0.00038223894,0.000086917134,0.00006139982,0.0000030157375,0.00018132922,0.00006748224,0.00078078936],"category_scores_gemma":[0.0003363981,0.00013998077,0.00006217349,0.00021340714,0.00011464102,0.0000026568573,0.00017665236,0.00007233089,0.000020268553],"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":[0.00010545828,0.00005056802,0.012130596,0.00004365656,0.00017484625,9.3722383e-7,0.00046959115,0.0000066534994,0.98415434,0.0005519292,0.0015625682,0.00074886],"study_design_scores_gemma":[0.0009054563,0.00078331865,0.10084831,0.000018723471,0.00012411429,0.000007705163,0.0006892079,0.00000470886,0.36351177,0.000025796686,0.53280044,0.00028044818],"about_ca_topic_score_codex":0.0001909906,"about_ca_topic_score_gemma":0.00007317794,"teacher_disagreement_score":0.62064254,"about_ca_system_score_codex":0.000021450833,"about_ca_system_score_gemma":0.00005108656,"threshold_uncertainty_score":0.8549096},"labels":[],"label_agreement":null},{"id":"W2166466845","doi":"10.1186/gm325","title":"DNA methylation signatures for breast cancer classification and prognosis","year":2012,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; William Osler Health System","funders":"National Cancer Institute; Ministère du Développement Économique, de l’Innovation et de l’Exportation; McGill University; Canadian Institute for Advanced Research","keywords":"DNA methylation; Breast cancer; Biology; Methylation; Cancer; Epigenetics; Gene; Computational biology; Genetics; Gene expression","score_opus":0.07203070509389865,"score_gpt":0.3632102184836439,"score_spread":0.29117951338974524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166466845","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":[0.00015928995,0.9966862,0.001236028,0.00021122282,0.00027198676,0.001068399,0.00024429755,0.0000095659425,0.00011299892],"genre_scores_gemma":[0.003152808,0.99138397,0.0003274833,0.000036596583,0.0023253514,0.0005056583,0.0019482105,0.00005349857,0.00026640395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876064,0.000086324464,0.00038714628,0.00041011878,0.00012924848,0.00022653062],"domain_scores_gemma":[0.99913687,0.000044071407,0.00032842866,0.00024220817,0.00013611326,0.00011232641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045327973,0.0002788681,0.0005715193,0.000109257155,0.000080270576,0.000011700734,0.00011795243,0.00041359992,0.000039509665],"category_scores_gemma":[0.00004914527,0.00020604015,0.00011318572,0.000114712806,0.00008410058,0.0000031353395,0.00004358692,0.0001072174,0.0000020310092],"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":[0.000009930941,0.000016344193,0.000034280747,0.0027774223,0.000115024945,7.46779e-8,0.000028695276,7.7087094e-7,0.017878069,0.00004064716,0.00008439391,0.97901434],"study_design_scores_gemma":[0.00022835794,0.0001203677,0.0015135489,0.0005256888,0.00095199625,0.0000032125563,0.00000985805,0.0000057273337,0.00020208955,0.000041389176,0.9961637,0.0002340476],"about_ca_topic_score_codex":0.000008652575,"about_ca_topic_score_gemma":0.000007887054,"teacher_disagreement_score":0.9960793,"about_ca_system_score_codex":0.000032778895,"about_ca_system_score_gemma":0.00008113321,"threshold_uncertainty_score":0.84020734},"labels":[],"label_agreement":null},{"id":"W2167330816","doi":"10.1186/s13073-015-0142-6","title":"Activation of an endogenous retrovirus-associated long non-coding RNA in human adenocarcinoma","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of British Columbia; University of Toronto; Ontario Institute for Cancer Research; Simon Fraser University; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Biology; Endogenous retrovirus; Long non-coding RNA; RNA; Adenocarcinoma; Genome; Human genome; Gene; Genetics; Cancer research; Computational biology; Cancer","score_opus":0.04726044330872458,"score_gpt":0.30242771732631124,"score_spread":0.25516727401758665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167330816","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":[0.9906435,0.00063128147,0.005715737,0.000087365916,0.00009316583,0.00034478283,0.00000714332,0.000010890269,0.0024661038],"genre_scores_gemma":[0.9988484,0.000050209204,0.00007690364,0.000103007966,0.00025730373,0.000019404459,0.00041846055,0.000035923942,0.00019039125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998458,0.00012707703,0.00033577188,0.00035283278,0.00038803977,0.00033827877],"domain_scores_gemma":[0.9990358,0.000009057652,0.0001457115,0.00042798748,0.000201506,0.00017994955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007749175,0.00015407658,0.0002654405,0.00022647734,0.000048866987,0.0000064487754,0.0002729344,0.00020173007,0.000047308306],"category_scores_gemma":[0.00029147457,0.00015303804,0.000040299077,0.00032781804,0.000096034906,0.0000073542406,0.00011055379,0.00021004282,0.000003998392],"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":[0.000108517524,0.00007222899,0.0003436455,0.000019944666,0.000040124876,0.000033012606,0.0004958986,0.00020073264,0.9979404,0.000014006926,0.0000632634,0.00066820916],"study_design_scores_gemma":[0.0031333568,0.0020651221,0.00978035,0.0000717596,0.00002276713,0.000019740346,0.00044026977,0.00018258396,0.9837948,0.00008900015,0.00021812787,0.00018210297],"about_ca_topic_score_codex":0.0006886781,"about_ca_topic_score_gemma":0.00020046461,"teacher_disagreement_score":0.014145596,"about_ca_system_score_codex":0.00018039712,"about_ca_system_score_gemma":0.00016528548,"threshold_uncertainty_score":0.624071},"labels":[],"label_agreement":null},{"id":"W2168495270","doi":"10.1186/gm308","title":"Looking back at genomic medicine in 2011","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke","keywords":"Genomic medicine; Human genetics; Genome Biology; Computational biology; Computational genomics; Medicine; Genomics; Bioinformatics; Biology; Genetics; Genome; Gene","score_opus":0.013028960130523909,"score_gpt":0.23169406451394553,"score_spread":0.21866510438342163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168495270","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":[0.96542704,0.010927819,0.00018453764,0.0011617444,0.0004694529,0.00017468126,0.00000912744,0.00000906326,0.02163651],"genre_scores_gemma":[0.98765284,0.00055531034,0.00018328962,0.00075672095,0.0021227745,0.000015839138,0.0002476298,0.000026215335,0.008439403],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874264,0.000053718923,0.0003655221,0.0002474378,0.00013259369,0.0004580706],"domain_scores_gemma":[0.99933887,0.000014603675,0.00009775181,0.0003524912,0.00003638839,0.0001598785],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000461745,0.00018675411,0.00025303042,0.000103632025,0.000074211115,0.0000025453196,0.00019091797,0.00011179971,0.0041239853],"category_scores_gemma":[0.00003397889,0.00014941995,0.000036854017,0.00007906394,0.00016527437,0.0000056211775,0.00016632276,0.00008768271,0.00042642833],"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":[0.00006475906,0.00005131244,0.14639905,0.000047279987,0.000050511688,0.0000045094275,0.0019761557,0.000042803164,0.84434587,0.00038135774,0.0061798724,0.0004564983],"study_design_scores_gemma":[0.0028265615,0.00054041453,0.46966583,0.000055924993,0.00005848349,0.00016906095,0.0010914608,0.000011063068,0.009469954,0.00014466235,0.5155197,0.00044691682],"about_ca_topic_score_codex":0.00022697925,"about_ca_topic_score_gemma":0.000086492706,"teacher_disagreement_score":0.83487594,"about_ca_system_score_codex":0.00008554542,"about_ca_system_score_gemma":0.00002733601,"threshold_uncertainty_score":0.99678636},"labels":[],"label_agreement":null},{"id":"W2168654307","doi":"10.1186/gm385","title":"Exploiting the noise: improving biomarkers with ensembles of data analysis methodologies","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institutes of Health; Center for Translational Molecular Medicine; Government of Ontario; Ontario Institute for Cancer Research","keywords":"Biomarker; Medicine; Hazard ratio; Confidence interval; Biomarker discovery; Oncology; Personalized medicine; Bioinformatics; Internal medicine; Computer science; Proteomics; Biology","score_opus":0.146234176021666,"score_gpt":0.41281456280813345,"score_spread":0.26658038678646745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168654307","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":[0.8490038,0.02676477,0.10201021,0.0115926545,0.00026007695,0.0010680695,0.00011821856,0.00012587414,0.00905633],"genre_scores_gemma":[0.9710551,0.0001247311,0.027746012,0.00023728027,0.0002974493,0.000021030764,0.00027946182,0.000014219662,0.00022474548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989691,0.00007118616,0.00025442935,0.00020631574,0.00025486015,0.00024414144],"domain_scores_gemma":[0.9984683,0.000369359,0.00017543696,0.00080697075,0.000083804494,0.00009614445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009558059,0.00012325081,0.00039250535,0.00018847806,0.00009376602,0.000003924555,0.00018351532,0.000028937291,0.00015399088],"category_scores_gemma":[0.00025904813,0.000056399087,0.000044711862,0.00071362825,0.0002132241,0.0001357797,0.00009296031,0.00007305618,0.000002449782],"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":[0.00065994036,0.00030364012,0.57333237,0.00064370414,0.027969413,0.000046910518,0.020789081,0.00011149887,0.17177676,0.00066385424,0.0010367581,0.20266607],"study_design_scores_gemma":[0.0044316836,0.000983169,0.8970074,0.00023118308,0.042169705,0.00012209025,0.039845247,0.0004167033,0.0036850297,0.0000656406,0.010733028,0.00030914156],"about_ca_topic_score_codex":0.00074057706,"about_ca_topic_score_gemma":0.000043028194,"teacher_disagreement_score":0.323675,"about_ca_system_score_codex":0.00004735334,"about_ca_system_score_gemma":0.000066676155,"threshold_uncertainty_score":0.2299888},"labels":[],"label_agreement":null},{"id":"W2169090271","doi":"10.1186/s13073-015-0127-5","title":"Ploidy-Seq: inferring mutational chronology by sequencing polyploid tumor subpopulations","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"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 Center for Advancing Translational Sciences; University of Texas MD Anderson Cancer Center; National Cancer Institute; National Institutes of Health; Reseau canadien de recherche respiratoire; Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation; Damon Runyon Cancer Research Foundation; Burroughs Wellcome Fund; U.S. Department of Defense","keywords":"Indel; Ploidy; Biology; Polyploid; Single cell sequencing; Genetics; Genome; DNA sequencing; Computational biology; Copy-number variation; Whole genome sequencing; Human genome; Personal genomics; Chromothripsis; Evolutionary biology; Mutation; DNA; Gene; Exome sequencing; Genotype; Single-nucleotide polymorphism; Genome instability; DNA damage","score_opus":0.027420619363664443,"score_gpt":0.2687703335659072,"score_spread":0.24134971420224274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169090271","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":[0.98411494,0.005368455,0.004946287,0.0015373463,0.00045813777,0.0001781681,0.00007657181,0.000024987306,0.0032951206],"genre_scores_gemma":[0.9953578,0.00010817445,0.00048542122,0.0011193674,0.0011045441,0.000026779237,0.0010229518,0.000028981043,0.00074597495],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989684,0.000026294616,0.00027168446,0.00030339044,0.00015705464,0.00027318107],"domain_scores_gemma":[0.9992739,0.000023404988,0.000097216835,0.0002649498,0.00013007247,0.00021048773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019757356,0.00015256298,0.00018076296,0.00007179671,0.00007750372,0.000010770376,0.00015825519,0.0000801098,0.00011193229],"category_scores_gemma":[0.00034123726,0.00014764258,0.00003473067,0.00010366664,0.00014121701,0.0000040897653,0.00009448565,0.0000938108,0.000030638374],"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":[0.00007175004,0.00004403209,0.011529066,0.000021355036,0.00008846615,0.000018641682,0.00058076135,0.0029702694,0.96092725,0.00074988423,0.022239096,0.0007594508],"study_design_scores_gemma":[0.008109204,0.002836601,0.032122374,0.00007354362,0.00020161849,0.00056909985,0.0025203193,0.0011912711,0.047316927,0.0035834603,0.9001417,0.0013338699],"about_ca_topic_score_codex":0.0003733259,"about_ca_topic_score_gemma":0.00015870227,"teacher_disagreement_score":0.9136103,"about_ca_system_score_codex":0.00014632888,"about_ca_system_score_gemma":0.0003142873,"threshold_uncertainty_score":0.60206896},"labels":[],"label_agreement":null},{"id":"W2169478906","doi":"10.1186/gm88","title":"Bridging the gap between systems biology and medicine","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Systems biology; Systems medicine; Bridging (networking); Modelling biological systems; USable; Data science; Computer science; Key (lock); Translational medicine; Computational model; Management science; Engineering ethics; Computational biology; Medicine; Biology; Artificial intelligence; Pathology","score_opus":0.017266948128998705,"score_gpt":0.27128283107916623,"score_spread":0.2540158829501675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169478906","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":[0.66887796,0.12840056,0.0974803,0.066331506,0.001799213,0.0015770014,0.000064511434,0.00008987434,0.0353791],"genre_scores_gemma":[0.9922113,0.0009999181,0.00005586841,0.0020311712,0.004014508,0.0000049781474,0.00019403131,0.000009816047,0.00047840844],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.999031,0.000047606358,0.00033411937,0.00021604417,0.00009200787,0.00027919776],"domain_scores_gemma":[0.9993507,0.000025956098,0.00011751994,0.0003492045,0.000044190747,0.00011238841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006318255,0.00016282966,0.00027339085,0.000045781126,0.00014348829,0.000009344121,0.00021314262,0.00012317541,0.00001835781],"category_scores_gemma":[0.0000494157,0.000092289156,0.000024020783,0.000088950364,0.00032074002,0.0000019813758,0.000063924264,0.00013096284,0.0000056851095],"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":[0.00013889847,0.000040069506,0.008344118,0.00016993878,0.00052093854,0.000014158421,0.0028559547,0.00022859356,0.6215219,0.018616963,0.07494179,0.2726067],"study_design_scores_gemma":[0.0044931686,0.004973217,0.0631323,0.00024746504,0.00032220833,0.00031024546,0.0013541477,0.0020063464,0.0006287288,0.008191758,0.91348135,0.0008590338],"about_ca_topic_score_codex":0.00004604598,"about_ca_topic_score_gemma":0.0000028146794,"teacher_disagreement_score":0.8385396,"about_ca_system_score_codex":0.000008759401,"about_ca_system_score_gemma":0.000016778711,"threshold_uncertainty_score":0.37634426},"labels":[],"label_agreement":null},{"id":"W2170332118","doi":"10.1186/gm317","title":"Ethical, legal and social issues: out in the open","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Genomics; Human genetics; Open science; Precision medicine; Engineering ethics; Genomic medicine; Commercialization; Personalized medicine; Data science; Bioethics; Ethical issues; Intellectual property; Field (mathematics); Computer science; Political science; Law; Bioinformatics; Genome; Genetics; Biology; Engineering; Computational biology","score_opus":0.5945335112948665,"score_gpt":0.6379632684601725,"score_spread":0.04342975716530595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170332118","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13574477,0.0053889095,0.00006394544,0.77147686,0.00033941964,0.0011143294,0.0000037704035,0.000024225916,0.08584379],"genre_scores_gemma":[0.95198125,0.00078180805,0.00038830156,0.036845755,0.002497154,0.000039937975,0.000012667372,0.000018548404,0.007434584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975283,0.00032689355,0.00040964285,0.00024526188,0.0010208105,0.0004690934],"domain_scores_gemma":[0.99589324,0.003344495,0.00005298032,0.00038560768,0.0001294134,0.00019424314],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.016886072,0.00012000557,0.00041754695,0.00008586646,0.00014292306,0.000032893993,0.00052938843,0.00046298714,0.00068111415],"category_scores_gemma":[0.007559717,0.00006701799,0.000031144245,0.0001608072,0.00093467097,0.00007901069,0.00039492187,0.0037771105,0.00010769627],"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":[0.0013770977,0.0013256341,0.07636128,0.0016032571,0.00020024278,0.0004740914,0.23186241,2.6877595e-7,0.016112307,0.5994207,0.052827545,0.01843512],"study_design_scores_gemma":[0.004318424,0.0009819915,0.19126341,0.00029170097,0.000089874324,0.00008565293,0.008293954,0.0000054642355,0.000039809052,0.017089112,0.77736884,0.0001717442],"about_ca_topic_score_codex":0.0005017436,"about_ca_topic_score_gemma":0.00030048873,"teacher_disagreement_score":0.8162365,"about_ca_system_score_codex":0.0000537403,"about_ca_system_score_gemma":0.00016750926,"threshold_uncertainty_score":0.9985212},"labels":[],"label_agreement":null},{"id":"W2174339930","doi":"10.1186/s13073-015-0247-y","title":"Immunogenomics: a foundation for intelligent immune design","year":2015,"lang":"en","type":"editorial","venue":"Genome Medicine","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Simon Fraser University; BC Cancer Agency; University of British Columbia","funders":"","keywords":"Immune system; Foundation (evidence); Computer science; Systems biology; Function (biology); Data science; Computational biology; Medicine; Biology; Immunology","score_opus":0.032779047112216936,"score_gpt":0.28103438152093213,"score_spread":0.2482553344087152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174339930","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040113556,0.04068311,0.19711807,0.0003219237,0.7572161,0.0027285193,0.00022177321,0.000044606382,0.0012647661],"genre_scores_gemma":[0.0007837519,0.006995639,0.0070383823,0.00010908739,0.94593906,0.00044835327,0.031970754,0.00019452572,0.0065204604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978051,0.000058220652,0.0008684568,0.0004566322,0.00038034908,0.00043121548],"domain_scores_gemma":[0.9977353,0.000095662064,0.00048820398,0.00083483785,0.00072430837,0.00012166521],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016444125,0.00047002855,0.0006475993,0.00013709963,0.00012493526,0.000045733923,0.00064463157,0.0007330702,0.00005142842],"category_scores_gemma":[0.0011807061,0.00039276652,0.00017540573,0.00009777701,0.000101390644,0.000005973221,0.00022207908,0.00028695614,0.000055137152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005659406,0.0000405266,4.0288876e-7,0.00022028096,0.00035040325,7.5061604e-7,0.00037205953,0.00014237358,0.038903084,0.0000148396575,0.9542682,0.00512112],"study_design_scores_gemma":[0.0017688669,0.0019276432,0.0000024730687,0.00007172557,0.00017954833,0.0000075274725,0.0003226627,0.0001664856,0.0016814277,0.00023571077,0.9932131,0.00042280657],"about_ca_topic_score_codex":0.000036138263,"about_ca_topic_score_gemma":0.000004178028,"teacher_disagreement_score":0.19007969,"about_ca_system_score_codex":0.00014775984,"about_ca_system_score_gemma":0.00061248016,"threshold_uncertainty_score":0.9998524},"labels":[],"label_agreement":null},{"id":"W2188890094","doi":"10.1186/s13073-015-0248-x","title":"Profiling tissue-resident T cell repertoires by RNA sequencing","year":2015,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; Genome British Columbia; University of British Columbia","funders":"National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"T-cell receptor; Computational biology; RNA; Biology; DNA sequencing; Repertoire; Gene; Sequence analysis; RNA-Seq; T cell; Genetics; Immune system; Transcriptome; Gene expression","score_opus":0.027356554669141765,"score_gpt":0.2536051222842371,"score_spread":0.22624856761509532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188890094","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":[0.79939765,0.06658166,0.0023110984,0.0034529418,0.015133655,0.00062687614,0.000006881391,0.00034590383,0.11214335],"genre_scores_gemma":[0.8498939,0.00014947492,0.00005319651,0.0007439845,0.00019557486,0.000015124323,0.00031062763,0.000019429473,0.14861865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898297,0.00010751512,0.00032777162,0.00024995377,0.00006133355,0.0002704893],"domain_scores_gemma":[0.9994178,0.00004245256,0.00012296332,0.0002535847,0.00011646692,0.0000467741],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003702744,0.0001494942,0.0002322141,0.00010243522,0.000117464566,0.000007291613,0.00013385438,0.00012631234,0.002501792],"category_scores_gemma":[0.00014325153,0.00011586511,0.000029079472,0.0001025031,0.00011741285,0.00008972376,0.000044158598,0.0002650292,0.0017741085],"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":[0.00006782551,0.000014915906,0.000048983675,0.000011412057,0.000022515747,0.0000054519937,0.0010948948,0.000007954596,0.8705818,0.000022227421,0.12737961,0.0007423986],"study_design_scores_gemma":[0.00094726094,0.0003598571,0.000030485964,0.000021408474,0.000023773977,0.00005565029,0.0026432103,0.000004483543,0.54238695,0.000018553656,0.4534088,0.00009954841],"about_ca_topic_score_codex":0.0005129874,"about_ca_topic_score_gemma":0.0000043273612,"teacher_disagreement_score":0.32819486,"about_ca_system_score_codex":0.00019523388,"about_ca_system_score_gemma":0.000071710965,"threshold_uncertainty_score":0.9990031},"labels":[],"label_agreement":null},{"id":"W2352710988","doi":"10.1186/s13073-016-0311-2","title":"Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer","year":2016,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Acetylation; Ubiquitin; Biology; Histone; Genetics; Gene; Mutation; Cancer; Computational biology; Cancer research","score_opus":0.01069728242424654,"score_gpt":0.2517058590485124,"score_spread":0.24100857662426586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352710988","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":[0.92904097,0.0010484705,0.06705029,0.0021725835,0.00007909368,0.00018240526,0.00004012506,0.0000039024685,0.00038218108],"genre_scores_gemma":[0.99806684,0.0004618167,0.00090708036,0.00014989,0.0001041011,0.000013721894,0.00009610515,0.0000065479303,0.00019388771],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99949783,0.000008752767,0.00020535431,0.000113954266,0.00007180785,0.000102305916],"domain_scores_gemma":[0.9996972,0.000013377212,0.00009535723,0.000099971076,0.00005907969,0.000034979435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015928895,0.00007004545,0.00010088536,0.000056431945,0.000020859376,0.0000021148592,0.00004987475,0.00006658883,0.000055538323],"category_scores_gemma":[0.000027717268,0.00004805132,0.000013076618,0.000058603884,0.00008148602,0.0000042986426,0.00003305809,0.000026272963,0.000001172222],"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":[0.000010683705,0.000011644391,0.0014851965,0.000016271366,0.000013333032,1.8438477e-7,0.00021198361,0.000052741496,0.9900855,0.002103431,0.000040930332,0.005968129],"study_design_scores_gemma":[0.014536398,0.0020261572,0.48375225,0.0006946907,0.0002009723,0.000033856337,0.0014678971,0.0033292624,0.4448421,0.033294335,0.014786174,0.0010359004],"about_ca_topic_score_codex":0.000049455735,"about_ca_topic_score_gemma":0.00023759408,"teacher_disagreement_score":0.5452434,"about_ca_system_score_codex":0.000018075643,"about_ca_system_score_gemma":0.000022337585,"threshold_uncertainty_score":0.19594759},"labels":[],"label_agreement":null},{"id":"W2463282260","doi":"10.1186/s13073-016-0327-7","title":"Capturing the diversity of the human gut microbiota through culture-enriched molecular profiling","year":2016,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Regional Laboratory Medicine Program; Population Health Research Institute; McMaster University","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Canada","keywords":"Profiling (computer programming); Computational biology; Human genetics; Biology; Diversity (politics); Microbiome; Proteomics; Bioinformatics; Evolutionary biology; Genetics; Computer science; Gene; Sociology; Anthropology","score_opus":0.016315987429537805,"score_gpt":0.2598713971599795,"score_spread":0.24355540973044168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463282260","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":[0.99182314,0.0023734216,0.0009044413,0.0034110325,0.00016878743,0.00031296175,0.000017976428,0.0000074197965,0.0009808136],"genre_scores_gemma":[0.9972958,0.00019099769,0.0001788705,0.0010080416,0.00023166138,0.000003364378,0.000021872036,0.00001252664,0.0010568398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990884,0.00007798871,0.00021028482,0.00025427766,0.0001217447,0.00024732683],"domain_scores_gemma":[0.9991897,0.000007802472,0.0001383603,0.00053924,0.000083870036,0.000041043182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023952013,0.00014013181,0.00016789026,0.000014832721,0.00031790353,0.0000031333423,0.0004782294,0.000100823454,0.00003387022],"category_scores_gemma":[0.000047263857,0.000059018395,0.000086656866,0.0000933381,0.00033684293,0.0000024645192,0.0005295364,0.00009987967,0.000004802966],"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":[0.000010062879,0.000015126032,0.002443205,0.00003058094,0.000041734198,0.0000012039823,0.0007193305,0.000001451869,0.9956569,0.0003249806,0.00069139287,0.00006404903],"study_design_scores_gemma":[0.002069798,0.00032388966,0.06894125,0.00012268164,0.00012936305,0.000040250143,0.0006277393,4.0793697e-7,0.886424,0.0007122961,0.04033027,0.00027805808],"about_ca_topic_score_codex":0.00012561606,"about_ca_topic_score_gemma":0.000025177631,"teacher_disagreement_score":0.10923289,"about_ca_system_score_codex":0.000026160018,"about_ca_system_score_gemma":0.000040337924,"threshold_uncertainty_score":0.2445089},"labels":[],"label_agreement":null},{"id":"W2533366359","doi":"10.1186/s13073-016-0362-4","title":"Integrating precision cancer medicine into healthcare—policy, practice, and research challenges","year":2016,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Precision medicine; Health care; Systems medicine; Personalized medicine; Public health; Citizen journalism; Medicine; Data science; Political science; Computer science; Systems biology; Bioinformatics","score_opus":0.05900241703056179,"score_gpt":0.4220044114834452,"score_spread":0.3630019944528834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533366359","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14764233,0.2895463,0.0016453348,0.551521,0.00065866555,0.0006563958,0.00003103066,0.000024534824,0.008274369],"genre_scores_gemma":[0.7317817,0.2610332,0.00049049436,0.0017792671,0.0041770698,0.0000711226,0.000020468502,0.000031577172,0.00061504514],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982196,0.00017750557,0.000327441,0.00051838206,0.00036774387,0.00038931865],"domain_scores_gemma":[0.9982026,0.0004804631,0.0001152943,0.00044631455,0.00049092167,0.00026440457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017109882,0.00017581029,0.00026307252,0.00020336908,0.00016163157,0.000008532826,0.00021445489,0.00014281827,0.000057006535],"category_scores_gemma":[0.004926516,0.000103975275,0.00002122049,0.00018562817,0.00055117294,0.0000068797,0.00026740227,0.00016782072,0.00000780264],"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":[0.0002491099,0.00003086409,0.0003722963,0.0001006631,0.00005681502,0.000010490095,0.0032023783,0.0000011607378,0.5846011,0.004476012,0.006554782,0.40034434],"study_design_scores_gemma":[0.001732594,0.0024608648,0.002621214,0.00049960916,0.000026219192,0.00004158811,0.0026309937,0.000005999511,0.0029996396,0.0041581388,0.98262024,0.0002028771],"about_ca_topic_score_codex":0.0027824356,"about_ca_topic_score_gemma":0.0013752927,"teacher_disagreement_score":0.97606546,"about_ca_system_score_codex":0.0001237168,"about_ca_system_score_gemma":0.00026986955,"threshold_uncertainty_score":0.5897856},"labels":[],"label_agreement":null},{"id":"W2538407824","doi":"10.1186/s13073-016-0364-2","title":"Molecular profiling of advanced solid tumors and patient outcomes with genotype-matched clinical trials: the Princess Margaret IMPACT/COMPACT trial","year":2016,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":285,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Markham Stouffville Hospital; McMaster University; Grand River Hospital; University Health Network; University of Toronto; Hamilton Health Sciences; Princess Margaret Cancer Centre","funders":"University of Toronto; Ontario Ministry of Health and Long-Term Care; Princess Margaret Cancer Foundation; Cancer Care Ontario","keywords":"Profiling (computer programming); Genotype; Medicine; Clinical trial; Human genetics; Bioinformatics; Computational biology; Internal medicine; Oncology; Medical physics; Biology; Genetics; Computer science; Gene","score_opus":0.03158108628493941,"score_gpt":0.3682015252279748,"score_spread":0.3366204389430354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538407824","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":[0.99269164,0.0027614494,0.0013692045,0.0017884498,0.0002364123,0.0009729393,0.000062800085,0.000006967642,0.00011012526],"genre_scores_gemma":[0.99815416,0.00074946455,0.0002894484,0.00041559318,0.00028048668,0.000028866718,0.000031743115,0.000028162362,0.000022052822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802685,0.0002504159,0.0008690567,0.00036518343,0.00022159507,0.00026691833],"domain_scores_gemma":[0.99825865,0.00041065147,0.0005258219,0.0005088172,0.00013423766,0.00016181298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430686,0.00022616252,0.0007764,0.000041815674,0.00004946071,0.000008850588,0.00020847537,0.00009204874,0.000025137748],"category_scores_gemma":[0.001848259,0.00009659638,0.00014661397,0.000075060736,0.00035744626,0.00000359453,0.00009472061,0.00009324858,0.0000011210492],"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":[0.030522317,0.00023761818,0.040634777,0.000055178672,0.0008906072,0.000029444673,0.0003929868,0.0004477033,0.88604385,0.00019092557,0.00036454108,0.04019003],"study_design_scores_gemma":[0.2425734,0.054204572,0.24784984,0.0007166298,0.001333172,0.000123909,0.0024866532,0.00009085927,0.41470948,0.0013941125,0.032469742,0.0020476314],"about_ca_topic_score_codex":0.000035844485,"about_ca_topic_score_gemma":0.000015258386,"teacher_disagreement_score":0.4713344,"about_ca_system_score_codex":0.000024578116,"about_ca_system_score_gemma":0.00020458315,"threshold_uncertainty_score":0.3939086},"labels":[],"label_agreement":null},{"id":"W2538540958","doi":"10.1186/s13073-016-0359-z","title":"Identification of a RAI1-associated disease network through integration of exome sequencing, transcriptomics, and 3D genomics","year":2016,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"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 Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Baylor-Hopkins Center for Mendelian Genomics; Simons Foundation Autism Research Initiative; Johns Hopkins University; National Science Foundation; Damon Runyon Cancer Research Foundation; Howard Hughes Medical Institute; Cancer Prevention and Research Institute of Texas; Simons Foundation","keywords":"Exome sequencing; Identification (biology); Genomics; Computational biology; Human genetics; Exome; Disease; Transcriptome; Medicine; Systems biology; DNA sequencing; Bioinformatics; Biology; Genetics; Genome; Gene; Internal medicine; Mutation","score_opus":0.014107678767996634,"score_gpt":0.22664791204752893,"score_spread":0.2125402332795323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538540958","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":[0.97782296,0.0019178704,0.01932033,0.00038232142,0.00013145088,0.00016838584,0.00012078625,0.0000061528003,0.00012972218],"genre_scores_gemma":[0.99747086,0.0012635656,0.00033256208,0.00007331835,0.00019316783,0.000010910196,0.00016128372,0.000013007958,0.00048134127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990747,0.000048816073,0.00044845036,0.00019434014,0.000093218674,0.00014046067],"domain_scores_gemma":[0.999305,0.000015213603,0.00026251108,0.00022687961,0.00013640245,0.0000539652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028809442,0.00010909702,0.00019638868,0.000031874733,0.000042694566,0.0000031737798,0.00010181806,0.00007064354,0.000033915814],"category_scores_gemma":[0.000101450394,0.00007834426,0.00004215969,0.00007302555,0.00019259307,0.000008218642,0.000028535464,0.0000285127,9.746402e-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":[0.00007063257,0.000020105528,0.0033225445,0.00003417539,0.0000601495,4.436254e-7,0.0008090095,0.00005594163,0.9940134,0.000916143,0.000080860686,0.0006165622],"study_design_scores_gemma":[0.008553127,0.0020485984,0.27824947,0.0006566973,0.00086045335,0.00003170302,0.0029951178,0.00042985863,0.67046624,0.015903627,0.018736657,0.0010684486],"about_ca_topic_score_codex":0.00004868493,"about_ca_topic_score_gemma":0.000028015489,"teacher_disagreement_score":0.3235472,"about_ca_system_score_codex":0.00004284059,"about_ca_system_score_gemma":0.000085231964,"threshold_uncertainty_score":0.3194786},"labels":[],"label_agreement":null},{"id":"W2545245164","doi":"10.1186/s13073-016-0369-x","title":"Approaches to modernize the combination drug development paradigm","year":2016,"lang":"en","type":"review","venue":"Genome Medicine","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Government of Ontario","keywords":"Precision medicine; Paradigm shift; Exploit; Drug development; Informatics; Medicine; Regulatory science; Transformative learning; Computer science; Drug discovery; Flexibility (engineering); Risk analysis (engineering); Computational biology; Data science; Bioinformatics; Drug; Biology; Psychology; Engineering; Pharmacology","score_opus":0.2797227624177357,"score_gpt":0.36757413963859303,"score_spread":0.08785137722085734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545245164","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":[0.000015746142,0.9723279,0.00065062527,0.010842491,0.00029870626,0.004130296,0.0000096281765,0.00007820963,0.011646421],"genre_scores_gemma":[0.00003998818,0.9245333,0.00016921986,0.00045344525,0.0012161031,0.0007829063,0.0002656964,0.00012737265,0.07241197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962487,0.00028502027,0.00091465,0.0006957503,0.001210224,0.0006456244],"domain_scores_gemma":[0.9976291,0.00046108768,0.00023619615,0.0011433852,0.00008533706,0.00044489466],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020584846,0.00057417137,0.0021120661,0.00051700656,0.00017905151,0.000021548085,0.00064392,0.00020456889,0.003671679],"category_scores_gemma":[0.00017391198,0.00026366234,0.0002481487,0.0006313994,0.00025210352,0.000030618092,0.00022292932,0.0006471327,0.0013042266],"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":[0.00003990092,0.00007229934,0.0000017121574,0.004880152,0.00037314877,0.000026980835,0.0015238554,2.0256539e-7,0.000016929564,0.00041533652,0.0025972922,0.99005216],"study_design_scores_gemma":[0.0010423943,0.00018490275,0.000035943332,0.00935142,0.00038207154,0.00013840114,0.000058415295,0.0000032530586,0.0000050328554,0.0001566062,0.98835886,0.00028269205],"about_ca_topic_score_codex":0.000016343638,"about_ca_topic_score_gemma":0.00000654355,"teacher_disagreement_score":0.9897695,"about_ca_system_score_codex":0.0008398559,"about_ca_system_score_gemma":0.00082137913,"threshold_uncertainty_score":0.9999816},"labels":[],"label_agreement":null},{"id":"W2599490367","doi":"10.1186/s13073-017-0421-5","title":"Ethnic and diet-related differences in the healthy infant microbiome","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hamilton Health Sciences; University of British Columbia; Hospital for Sick Children; BC Children's Hospital; Child and Family Research Institute; SickKids Foundation; University of Toronto; Population Health Research Institute; University of Alberta; University of Manitoba; Impact; McMaster University","funders":"Canadian Institutes of Health Research; Indian Council of Medical Research; McMaster University; Heart and Stroke Foundation of Canada","keywords":"Breastfeeding; Ethnic group; Microbiome; Gut flora; Clinical nutrition; Medicine; Pregnancy; Birth weight; Demography; Physiology; Biology; Immunology; Pediatrics; Internal medicine; Bioinformatics; Genetics","score_opus":0.032645558064171847,"score_gpt":0.3157137020887952,"score_spread":0.2830681440246233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599490367","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":[0.9783923,0.01023432,0.000008503048,0.010237625,0.00015826251,0.00022079448,0.0000082265615,0.0000037485079,0.0007362431],"genre_scores_gemma":[0.9937415,0.003793477,0.000024476185,0.0019059975,0.00017386126,0.000008690803,0.00005425037,0.000007761115,0.00028999845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99916124,0.00006681305,0.0002117214,0.0002449036,0.00006222712,0.00025308816],"domain_scores_gemma":[0.9993167,0.000013832577,0.00011201474,0.0004699614,0.000020215142,0.000067299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049430877,0.0001158333,0.00018818313,0.000044525605,0.00022662334,0.000015429694,0.00032433277,0.000109350214,0.000027932347],"category_scores_gemma":[0.000061503415,0.00006912088,0.000020372077,0.000046411824,0.0003299103,0.0000022877616,0.00010058133,0.00014960967,0.000007206264],"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":[0.00013453826,0.000042030188,0.02432189,0.00007071388,0.000023693581,0.000010659148,0.0021305312,1.3324953e-7,0.97057396,0.00008777192,0.0009336019,0.0016704823],"study_design_scores_gemma":[0.0011807871,0.0009333742,0.97833395,0.000034268196,0.000011104061,0.000040271985,0.00031143703,0.0000020284308,0.00021953555,0.00007411803,0.018757313,0.000101810954],"about_ca_topic_score_codex":0.00037018716,"about_ca_topic_score_gemma":0.0003986709,"teacher_disagreement_score":0.97035444,"about_ca_system_score_codex":0.000008300564,"about_ca_system_score_gemma":0.000043429754,"threshold_uncertainty_score":0.28186676},"labels":[],"label_agreement":null},{"id":"W2606495925","doi":"10.1186/s13073-017-0424-2","title":"Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":3730,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Prostate Cancer Foundation; Foundation Medicine; U.S. Department of Defense","keywords":"Microsatellite instability; Exome sequencing; Germline; Exome; Biology; Somatic cell; Germline mutation; PMS2; Cancer; Computational biology; Cancer research; Medicine; Oncology; Genetics; Gene; Mutation; Microsatellite; Allele","score_opus":0.030987939456910342,"score_gpt":0.33415935941470787,"score_spread":0.3031714199577975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606495925","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":[0.9792672,0.008650744,0.000016762617,0.0051331846,0.00012374419,0.00027541557,0.000109780005,0.000008664066,0.0064145],"genre_scores_gemma":[0.99607295,0.00041366034,0.000030894313,0.00036302052,0.0005188393,0.000023846906,0.000080624006,0.00001262637,0.002483524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868256,0.00003332742,0.0005020588,0.00019178413,0.000420395,0.00016990073],"domain_scores_gemma":[0.9983778,0.00007338512,0.0005688439,0.0007127429,0.00020282945,0.00006437182],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060131354,0.00013142398,0.0006481502,0.00028873768,0.00019131368,0.000006824958,0.00032059624,0.00003544738,0.008092034],"category_scores_gemma":[0.00005462842,0.00007651476,0.00018519453,0.00034181704,0.00056165614,0.000034222572,0.00004159011,0.000093024064,0.0000014467198],"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":[0.0010515138,0.00010747368,0.6141447,0.00030152206,0.0096959965,0.000035477427,0.006275127,0.00011620056,0.35059553,0.00024198828,0.0018722526,0.01556223],"study_design_scores_gemma":[0.0022811461,0.00034042457,0.9880122,0.00013558807,0.0025572537,0.000008643936,0.00073467137,0.00008326238,0.00088116585,0.000084980165,0.0047917953,0.00008888008],"about_ca_topic_score_codex":0.002945069,"about_ca_topic_score_gemma":0.00015373461,"teacher_disagreement_score":0.3738675,"about_ca_system_score_codex":0.000037557125,"about_ca_system_score_gemma":0.00008359781,"threshold_uncertainty_score":0.9928147},"labels":[],"label_agreement":null},{"id":"W2618126900","doi":"10.1186/s13073-017-0441-1","title":"Genome annotation for clinical genomic diagnostics: strengths and weaknesses","year":2017,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"National Human Genome Research Institute; National Institutes of Health; Wellcome Trust; Wellcome","keywords":"Annotation; Genome; Computational biology; Genome project; Exome; Pseudogene; Exome sequencing; Identification (biology); Human genome; DNA sequencing; Genomics; Gene Annotation; Human genetics; Genetics; Biology; Gene; Mutation","score_opus":0.08694905064875766,"score_gpt":0.43967042167710774,"score_spread":0.3527213710283501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618126900","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":[0.0015250962,0.9952643,0.0001293824,0.00006867836,0.0007161509,0.0012488374,0.0008098718,0.00001237423,0.00022533597],"genre_scores_gemma":[0.00042793222,0.98784465,0.00019910933,0.00011009326,0.004227497,0.00021543795,0.0061833067,0.00009900606,0.0006929852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976216,0.000101629776,0.00092494185,0.00085750694,0.00011969518,0.00037465416],"domain_scores_gemma":[0.99767107,0.00032399804,0.0007081161,0.000862333,0.00015260538,0.00028190293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005753365,0.00049928285,0.0015443531,0.000119274504,0.00024510355,0.00004919705,0.0005132247,0.00046360763,0.00003762379],"category_scores_gemma":[0.0017011185,0.0003872197,0.00037680284,0.000040266274,0.0003776374,0.0000034322068,0.000251677,0.00017177631,0.000019416444],"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":[0.000042234307,0.0000776492,0.00007633861,0.0065679853,0.0004985439,0.00002772848,0.000033638207,8.7450604e-7,0.00014672996,0.000029910954,0.0014558401,0.99104255],"study_design_scores_gemma":[0.0007188143,0.0005706635,0.0013841289,0.00077172933,0.0011951259,0.00005475814,0.000027371143,0.0000011258419,6.531267e-7,0.000046675723,0.99480546,0.0004235152],"about_ca_topic_score_codex":0.000010340375,"about_ca_topic_score_gemma":0.00001419374,"teacher_disagreement_score":0.9933496,"about_ca_system_score_codex":0.00002584805,"about_ca_system_score_gemma":0.00038067042,"threshold_uncertainty_score":0.99985796},"labels":[],"label_agreement":null},{"id":"W2620529798","doi":"10.1186/s13073-017-0436-y","title":"A pharmacogenetic signature of high response to Copaxone in late-phase clinical-trial cohorts of multiple sclerosis","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Teva Pharmaceutical Industries","keywords":"Medicine; Single-nucleotide polymorphism; Multiple sclerosis; SNP; Clinical trial; Cohort; Placebo; Internal medicine; Oncology; Glatiramer acetate; Immunology; Genetics; Biology; Pathology; Gene; Genotype","score_opus":0.19799024058261616,"score_gpt":0.44490888470471834,"score_spread":0.24691864412210218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620529798","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":[0.98805046,0.0013896314,0.000043327193,0.006792392,0.0005369679,0.00286834,0.0001175073,0.000023396646,0.00017797867],"genre_scores_gemma":[0.9956992,0.0018629623,0.0008281331,0.00036402897,0.0005980856,0.00012541196,0.000028824734,0.0000407858,0.00045254864],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959132,0.0004223564,0.0015189488,0.00059222116,0.0010151298,0.0005381453],"domain_scores_gemma":[0.9957375,0.0012840306,0.0005936247,0.0013555463,0.0005114969,0.0005178023],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004298304,0.00029373274,0.0017491112,0.00053907494,0.00013291556,0.000008281827,0.00053513906,0.00018672075,0.00039640983],"category_scores_gemma":[0.015946208,0.0002261419,0.00017141175,0.0003813986,0.0009845302,0.000057602472,0.00040461964,0.00050259125,0.000019880767],"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":[0.17937443,0.001229788,0.025665674,0.00023045231,0.00026305008,0.000096427655,0.0010194447,0.000044830827,0.77682656,0.0000011590859,0.0021151889,0.013132971],"study_design_scores_gemma":[0.19806524,0.0083568,0.7698342,0.0011237294,0.0002035602,0.000002314768,0.0001292482,0.00016873346,0.018419582,0.000011177704,0.0034908813,0.00019454471],"about_ca_topic_score_codex":0.00055919035,"about_ca_topic_score_gemma":0.000102259626,"teacher_disagreement_score":0.758407,"about_ca_system_score_codex":0.00009500673,"about_ca_system_score_gemma":0.00022455896,"threshold_uncertainty_score":0.9923429},"labels":[],"label_agreement":null},{"id":"W2674532415","doi":"10.1186/s13073-017-0446-9","title":"ISOWN: accurate somatic mutation identification in the absence of normal tissue controls","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"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 Toronto; Ontario Institute for Cancer Research","funders":"Ontario Ministry of Research, Innovation and Science; Ontario Institute for Cancer Research","keywords":"Somatic cell; Computational biology; Exome sequencing; Human genetics; Germline; Germline mutation; Biology; Identification (biology); Exome; Genome; DNA sequencing; Genomics; Genetics; Mutation; Bioinformatics; Gene","score_opus":0.014429414650543496,"score_gpt":0.2955641733997002,"score_spread":0.2811347587491567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2674532415","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":[0.99276114,0.0012432658,0.0026915383,0.001673922,0.00018781713,0.00027548382,0.000017468543,0.0000017048394,0.0011476489],"genre_scores_gemma":[0.9988428,0.00036836136,0.00004897209,0.00022587314,0.00027230187,0.000023677647,0.000085349886,0.0000056148942,0.000127088],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99939054,0.0000252242,0.00024417922,0.00013120707,0.00010451205,0.00010430969],"domain_scores_gemma":[0.9991646,0.000032227887,0.00023904264,0.0004797052,0.00006148079,0.00002298965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038497534,0.00006732205,0.00011437832,0.000027600683,0.00008074553,0.00001977121,0.00031720937,0.0000417153,0.000019112664],"category_scores_gemma":[0.00041480444,0.000048833208,0.00001770646,0.000029601599,0.00013016694,0.000004633007,0.00003865213,0.000040394407,0.0000074093914],"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":[0.000032356576,0.000024549934,0.002200121,0.000031543477,0.00001204124,0.0000062996087,0.0005936595,0.00016127032,0.99243826,0.00022587237,0.0002112987,0.00406273],"study_design_scores_gemma":[0.0027905821,0.00067852257,0.883942,0.000068979774,0.000051731946,0.000035907637,0.0009006798,0.000494664,0.09411776,0.0012675648,0.015428573,0.0002230526],"about_ca_topic_score_codex":0.00015413262,"about_ca_topic_score_gemma":0.00016659772,"teacher_disagreement_score":0.8983205,"about_ca_system_score_codex":0.000008199773,"about_ca_system_score_gemma":0.000033335407,"threshold_uncertainty_score":0.19913605},"labels":[],"label_agreement":null},{"id":"W2732144023","doi":"10.1186/s13073-017-0454-9","title":"Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","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":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Prostate Cancer Canada; Canadian Institutes of Health Research; Government of Ontario; National Cancer Institute; Ontario Institute for Cancer Research; Movember Foundation","keywords":"Mass spectrometry; Human genetics; Proteomics; Computational biology; Cancer cell lines; Cancer; Medicine; Bioinformatics; Biology; Chemistry; Genetics; Chromatography; Internal medicine; Cancer cell; Gene","score_opus":0.03076311847363516,"score_gpt":0.330034622204843,"score_spread":0.2992715037312078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732144023","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":[0.9845495,0.0011245484,0.0072187968,0.00074979087,0.00003193475,0.0008276274,0.00003591232,0.000091047754,0.005370832],"genre_scores_gemma":[0.99053484,0.00016080143,0.006990501,0.0000447153,0.00029448912,0.00069924555,0.00001179849,0.000032013853,0.0012315755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988622,0.000011370926,0.00029734478,0.000378586,0.0001689966,0.0002814797],"domain_scores_gemma":[0.9988163,0.00002667452,0.00028476017,0.00073219865,0.00006250397,0.00007757358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107212065,0.00018198344,0.00030868768,0.00004346222,0.0002683181,0.00002347819,0.000465135,0.00006839223,0.0005646044],"category_scores_gemma":[0.000055556782,0.00016039606,0.00002259939,0.00009306081,0.000086824606,0.00007444666,0.00011661915,0.00027410575,0.000005485695],"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":[0.000018228,0.000096519754,0.0028633848,0.000050832135,0.000013405362,0.000013030348,0.00023489722,0.0000044194685,0.99556696,0.000016310252,0.00003428416,0.0010877382],"study_design_scores_gemma":[0.0058440347,0.0005033575,0.014028627,0.0004126446,0.000090215726,0.0000102084,0.0048305104,0.00042553936,0.9593865,0.0044082804,0.009184948,0.0008750987],"about_ca_topic_score_codex":0.0023517022,"about_ca_topic_score_gemma":0.00021406995,"teacher_disagreement_score":0.036180414,"about_ca_system_score_codex":0.00016501563,"about_ca_system_score_gemma":0.000024340161,"threshold_uncertainty_score":0.65407616},"labels":[],"label_agreement":null},{"id":"W2756992211","doi":"10.1186/s13073-017-0475-4","title":"Key challenges in bringing CRISPR-mediated somatic cell therapy into the clinic","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Simon Fraser University","funders":"Economic and Social Research Council; University of Tasmania","keywords":"CRISPR; Genome editing; Somatic cell; Cas9; Human genetics; Medicine; Computational biology; Palindrome; Genome; Biology; Bioinformatics; Genetics; Gene","score_opus":0.031445118044267424,"score_gpt":0.3332337283286593,"score_spread":0.30178861028439186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756992211","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":[0.9218113,0.06608297,0.00083223893,0.0047670538,0.0003729055,0.00026026394,0.0000012356895,0.00001656555,0.005855462],"genre_scores_gemma":[0.9706823,0.027986532,0.000120042365,0.00021402695,0.00048560376,0.00002229063,0.000018141098,0.000024445977,0.00044659228],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990577,0.000035442787,0.00024585307,0.000275628,0.00012633165,0.00025900643],"domain_scores_gemma":[0.998981,0.000034651497,0.00009448695,0.0007930925,0.00002892503,0.00006784655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005343761,0.00015723018,0.00019448224,0.00005115383,0.00014778663,0.000016980033,0.00047027698,0.000089849535,0.00006969181],"category_scores_gemma":[0.00017588893,0.000107222884,0.000045407975,0.000034825935,0.00011971589,0.0000028266127,0.00011893253,0.00013605345,0.000029733952],"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":[0.0000524128,0.00006608982,0.0059792865,0.00011876124,0.000060553277,0.00002019272,0.006647227,0.00012633692,0.95244324,0.000010419223,0.0003683599,0.034107108],"study_design_scores_gemma":[0.009169357,0.0017749396,0.52761334,0.00031546623,0.00007100041,0.00004623963,0.006409997,0.0013571251,0.1276027,0.0005341508,0.32395062,0.0011550713],"about_ca_topic_score_codex":0.000076582444,"about_ca_topic_score_gemma":0.00012686543,"teacher_disagreement_score":0.82484055,"about_ca_system_score_codex":0.000010320044,"about_ca_system_score_gemma":0.000024145438,"threshold_uncertainty_score":0.43724224},"labels":[],"label_agreement":null},{"id":"W2757101956","doi":"10.1186/s13073-017-0476-3","title":"Creating a data resource: what will it take to build a medical information commons?","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Simon Fraser University; Concordia University","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Data sharing; Commons; Government (linguistics); Open data; Knowledge management; Stakeholder; Business; Big data; Resource (disambiguation); Public relations; Computer science; Political science; Medicine; World Wide Web","score_opus":0.4798930460612094,"score_gpt":0.5753062527730594,"score_spread":0.09541320671184994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757101956","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05612262,0.0013032734,0.0024492836,0.83213395,0.0007106792,0.0014069958,0.00006001702,0.00014221633,0.10567098],"genre_scores_gemma":[0.8862138,0.0044196853,0.004623053,0.087697774,0.005637023,0.0000938274,0.0015346194,0.000093909446,0.009686327],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939571,0.00011830704,0.00111572,0.0005436371,0.0036325187,0.00063268654],"domain_scores_gemma":[0.9881544,0.0042653056,0.00035817362,0.0051541897,0.00059764885,0.0014702802],"candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013909252,0.00023663974,0.00070179807,0.00026678352,0.0006718184,0.00024920976,0.0027459278,0.0005024706,0.0025268216],"category_scores_gemma":[0.16558345,0.00017529169,0.000058473775,0.00023181103,0.0010205808,0.0013176574,0.0026640496,0.0024833728,0.0005263674],"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":[0.0031689643,0.0007375515,0.03762643,0.0037198258,0.00084934465,0.0016757902,0.030498298,0.000017660428,0.0020412835,0.014912947,0.25943157,0.6453203],"study_design_scores_gemma":[0.004048784,0.001163826,0.030458141,0.004972657,0.00012248618,0.0001563312,0.004120852,0.000929038,0.000021247844,0.00135777,0.9524052,0.00024366798],"about_ca_topic_score_codex":0.0005265903,"about_ca_topic_score_gemma":0.0006939761,"teacher_disagreement_score":0.8300912,"about_ca_system_score_codex":0.0001349116,"about_ca_system_score_gemma":0.00065658917,"threshold_uncertainty_score":0.99981797},"labels":[],"label_agreement":null},{"id":"W2768978184","doi":"10.1186/s13073-017-0495-0","title":"Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"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":"U.S. National Library of Medicine; National Human Genome Research Institute; British Heart Foundation; National Institute of General Medical Sciences; National Institute for Health and Care Research; National Institutes of Health; National Institute of Mental Health; Vetenskapsrådet; Edward Mallinckrodt, Jr. Foundation; Banting Research Foundation; Hjärt-Lungfonden; Paul and Daisy Soros Fellowships for New Americans","keywords":"Warfarin; Imputation (statistics); Medicine; Human genetics; Cohort; Computational biology; Gene; Internal medicine; Bioinformatics; Oncology; Biology; Genetics; Statistics; Atrial fibrillation; Mathematics; Missing data","score_opus":0.028454988278564044,"score_gpt":0.2922611071330072,"score_spread":0.26380611885444316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768978184","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":[0.93799883,0.0007940993,0.05943798,0.00041074082,0.00022792046,0.0003918052,0.00012509496,0.000005061659,0.00060844823],"genre_scores_gemma":[0.9900659,0.0005509046,0.008306246,0.000030865336,0.00036019087,0.00005024503,0.00039501156,0.000012829995,0.00022784677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999063,0.000040741616,0.00039031234,0.00024612198,0.00009881802,0.00016100859],"domain_scores_gemma":[0.9986518,0.000030331747,0.00061535643,0.00046242395,0.00018734753,0.000052712843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004426279,0.000101256635,0.00028798645,0.000048138114,0.000115038725,0.0000026783448,0.00019371804,0.00010470904,0.000012516781],"category_scores_gemma":[0.00033932432,0.0000828698,0.00006515449,0.000033535878,0.00025244127,0.0000029529303,0.000052575022,0.000037390204,4.825303e-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":[0.00007457084,0.000029625375,0.023420427,0.000021225393,0.000045793113,1.11109145e-7,0.00014701906,0.0000820572,0.9701964,0.00001369553,0.0007578708,0.0052111857],"study_design_scores_gemma":[0.0012645422,0.0012721784,0.8731063,0.000017546216,0.00005854938,0.0000024007688,0.0003332568,0.00020747526,0.115032226,0.00029808658,0.008313127,0.000094328556],"about_ca_topic_score_codex":0.00009667599,"about_ca_topic_score_gemma":0.000006151182,"teacher_disagreement_score":0.8551642,"about_ca_system_score_codex":0.000014647855,"about_ca_system_score_gemma":0.00003567083,"threshold_uncertainty_score":0.33793324},"labels":[],"label_agreement":null},{"id":"W2769257088","doi":"10.1186/s13073-017-0488-z","title":"Impact of IQ on the diagnostic yield of chromosomal microarray in a community sample of adults with schizophrenia","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Humber River Regional Hospital; Toronto Rehabilitation Institute; Ontario Genomics; Hospital for Sick Children; University Health Network; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Department of Psychiatry, University of Toronto; Hospital for Sick Children; University of Toronto; University Health Network","keywords":"Schizophrenia (object-oriented programming); Copy-number variation; Medicine; Odds ratio; Psychiatry; Intelligence quotient; Intellectual disability; Genome-wide association study; Population; Etiology; Microarray; Genetics; Internal medicine; Genotype; Cognition; Biology; Single-nucleotide polymorphism; Genome; Gene","score_opus":0.015377340155555806,"score_gpt":0.25004032440390267,"score_spread":0.23466298424834686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769257088","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":[0.9986566,0.0002742017,0.000046628258,0.00016498649,0.000027121732,0.00017948337,0.00015916924,0.0000012300412,0.0004906049],"genre_scores_gemma":[0.9995831,0.00010351446,0.00011925636,0.000020977228,0.000070671515,0.000010423415,0.00006497024,0.0000089010655,0.000018169309],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99932337,0.00007155475,0.00027039868,0.000102978964,0.00010149993,0.00013019553],"domain_scores_gemma":[0.9985801,0.00022147437,0.00030550905,0.0007638027,0.00009618151,0.00003292533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002770897,0.000113403374,0.00025226962,0.00004283974,0.000097998694,0.000003047612,0.00039528948,0.000058254493,0.000093798226],"category_scores_gemma":[0.0008195122,0.000065359825,0.000056805475,0.00004592309,0.00038839274,0.0000028411066,0.00009365875,0.00011893907,5.5775587e-7],"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":[0.0011459861,0.00031368472,0.24683367,0.00015916706,0.00018417103,0.0000023459997,0.0030200924,0.00017518863,0.7474267,0.00022918746,0.00006862737,0.00044118855],"study_design_scores_gemma":[0.0017436284,0.003778477,0.9187496,0.00034177303,0.000031063362,0.000008446581,0.0008935192,0.0000047113135,0.07421516,0.00009464637,0.0000463952,0.00009262224],"about_ca_topic_score_codex":0.0060319956,"about_ca_topic_score_gemma":0.00097053597,"teacher_disagreement_score":0.6732115,"about_ca_system_score_codex":0.000011867267,"about_ca_system_score_gemma":0.000087593144,"threshold_uncertainty_score":0.91186136},"labels":[],"label_agreement":null},{"id":"W2778612823","doi":"10.1186/s13073-017-0505-2","title":"B3GALNT2 mutations associated with non-syndromic autosomal recessive intellectual disability reveal a lack of genotype–phenotype associations in the muscular dystrophy-dystroglycanopathies","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"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":"Radboud Universitair Medisch Centrum; Swansea University; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Radboud Universiteit; ZonMw; Prinses Beatrix Spierfonds; Rare Disease Foundation","keywords":"Muscular dystrophy; Phenotype; Compound heterozygosity; Genetics; Exome sequencing; Congenital muscular dystrophy; Haploinsufficiency; Medicine; Muscle biopsy; Limb-girdle muscular dystrophy; Intellectual disability; Genetic heterogeneity; Facioscapulohumeral muscular dystrophy; Biology; Pathology; Gene; Biopsy","score_opus":0.022946528060487328,"score_gpt":0.28568778156667973,"score_spread":0.26274125350619243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778612823","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":[0.99690336,0.00024437968,0.00019270845,0.0010470096,0.00008666344,0.0003508117,0.00007164837,0.000007311174,0.0010961143],"genre_scores_gemma":[0.9989777,0.00003846548,0.00007546494,0.00014082724,0.00013684627,0.000047631573,0.00047040952,0.000015530944,0.00009712662],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867415,0.00021270181,0.00032680194,0.00032545245,0.000194117,0.0002667847],"domain_scores_gemma":[0.9986804,0.00012726258,0.0003512921,0.00065133756,0.00014080609,0.00004891097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005085471,0.00017822553,0.00033312562,0.000040667688,0.00033598588,0.0000127114545,0.0004690007,0.0001577315,0.000047401663],"category_scores_gemma":[0.0017582829,0.00012128282,0.000069071335,0.00013171944,0.0010461163,0.000009531977,0.000085276864,0.00020916364,0.00000455148],"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":[0.0014801897,0.0012974142,0.18796216,0.00016696179,0.0010941643,0.000044587283,0.015436968,0.0009801915,0.787642,0.00036166253,0.001114235,0.0024194722],"study_design_scores_gemma":[0.001856884,0.001251427,0.99380946,0.00005132757,0.000118284785,0.000005108754,0.0010941335,0.000058895614,0.0009351241,0.00044206675,0.00019816692,0.00017914863],"about_ca_topic_score_codex":0.00033328027,"about_ca_topic_score_gemma":0.00075260055,"teacher_disagreement_score":0.8058473,"about_ca_system_score_codex":0.000042985044,"about_ca_system_score_gemma":0.00012510542,"threshold_uncertainty_score":0.494577},"labels":[],"label_agreement":null},{"id":"W2892902767","doi":"10.1186/s13073-018-0584-8","title":"Advanced model systems and tools for basic and translational human immunology","year":2018,"lang":"en","type":"review","venue":"Genome Medicine","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Bill and Melinda Gates Foundation","keywords":"Immune system; Human genetics; Systems biology; Computational biology; Immunity; Acquired immune system; Biology; Human biology; Human disease; Translational research; Immunology; Computer science; Data science; Neuroscience; Cognitive science; Psychology; Genetics; Biotechnology; Gene","score_opus":0.06135972921065166,"score_gpt":0.307493454755318,"score_spread":0.2461337255446663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892902767","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":[0.00076297595,0.99515104,0.00054523436,0.0001285241,0.0010518533,0.001575209,0.00021739575,0.00006579494,0.00050194346],"genre_scores_gemma":[0.0015768806,0.98996276,0.00010050056,0.000051605584,0.0002749625,0.0003597216,0.002335859,0.000064955224,0.0052727577],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975497,0.0002197048,0.0008970099,0.00074202934,0.00003874566,0.00055281323],"domain_scores_gemma":[0.9985107,0.0005166161,0.0003957259,0.0004295273,0.0001077071,0.000039722534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044848988,0.0005618511,0.0022668813,0.0003080477,0.00037537396,0.000020588224,0.00031125697,0.0009503996,0.00015978146],"category_scores_gemma":[0.00006878887,0.00041156643,0.00015349107,0.000108339635,0.0013139383,0.00010735989,0.00010260899,0.0004884214,0.0000700394],"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":[0.00020680277,0.00012754429,0.000002161716,0.014189877,0.0026238475,0.000009464589,0.0009223912,0.000003917766,0.23509039,0.009829979,0.0017040849,0.7352895],"study_design_scores_gemma":[0.0025743705,0.0007871378,0.000004638847,0.0018424997,0.00092315016,0.0004618208,0.0001088233,0.00000619424,0.000029163124,0.00036815382,0.9924945,0.00039950493],"about_ca_topic_score_codex":0.000020510084,"about_ca_topic_score_gemma":0.0000062335184,"teacher_disagreement_score":0.9907905,"about_ca_system_score_codex":0.000033758686,"about_ca_system_score_gemma":0.00012370323,"threshold_uncertainty_score":0.99983364},"labels":[],"label_agreement":null},{"id":"W2899227888","doi":"10.1186/s13073-018-0590-x","title":"Landscape of genomic alterations in high-grade serous ovarian cancer from exceptional long- and short-term survivors","year":2018,"lang":"en","type":"article","venue":"Genome Medicine","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Ministry of Advanced Education; Terry Fox Research Institute; University of Toronto; Canada Research Chairs; Ontario Ministry of Research and Innovation; Princess Margaret Cancer Foundation","keywords":"Debulking; Medicine; Ovarian cancer; Oncology; Serous fluid; Internal medicine; Exome; Cancer; Exome sequencing; Mutation; Biology; Gene; Genetics","score_opus":0.031221294757560282,"score_gpt":0.31068250621393645,"score_spread":0.27946121145637615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899227888","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":[0.98999965,0.0029330994,0.0007748505,0.00472824,0.00049048074,0.0003596776,0.00015909497,0.00003002936,0.00052488537],"genre_scores_gemma":[0.9947011,0.0008493881,0.0005570657,0.0008024135,0.002407781,0.00006041093,0.0003451465,0.000028792858,0.00024791263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985808,0.000055710454,0.00047799517,0.00035132145,0.0002949287,0.00023925964],"domain_scores_gemma":[0.9991484,0.00007700197,0.00009688405,0.00039466028,0.00012328815,0.00015975414],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023533097,0.00017913745,0.00046568975,0.00026043685,0.00006084165,0.000006320158,0.000118547745,0.000095596326,0.0050019682],"category_scores_gemma":[0.000023027296,0.00015221298,0.00003162191,0.0002348358,0.0003810469,0.000060685383,0.00004451215,0.00016977284,0.000020937148],"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":[0.0005240768,0.00014785139,0.64038014,0.000078311874,0.00017753734,0.000047248388,0.0045956406,0.000033957414,0.35041183,0.00018101034,0.0008363561,0.0025860472],"study_design_scores_gemma":[0.0040812665,0.0004048387,0.9920129,0.00023811994,0.00008408092,0.00003418326,0.00015355974,0.00010651841,0.0012831416,0.0005322574,0.00092909863,0.00013999484],"about_ca_topic_score_codex":0.0031315575,"about_ca_topic_score_gemma":0.003900318,"teacher_disagreement_score":0.3516328,"about_ca_system_score_codex":0.00013214997,"about_ca_system_score_gemma":0.0001254899,"threshold_uncertainty_score":0.9959076},"labels":[],"label_agreement":null},{"id":"W2901277654","doi":"10.1186/s13073-018-0591-9","title":"Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers","year":2018,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"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":"Banting and Best Diabetes Centre, University of Toronto; Ministry of Science and ICT, South Korea; Bundesministerium für Bildung und Forschung; Einstein Stiftung Berlin; Berlin Center for Machine Learning; Deutsche Forschungsgemeinschaft","keywords":"KRAS; Neuroblastoma RAS viral oncogene homolog; Computational biology; Biology; Cancer; Context (archaeology); Mutation; Germline mutation; Bioinformatics; Genetics; Gene; Cancer research","score_opus":0.005197700657635298,"score_gpt":0.26845926129929026,"score_spread":0.26326156064165496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901277654","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":[0.96793467,0.0029443586,0.027350193,0.00033351342,0.00024187179,0.00024026833,0.000059942548,0.000010671732,0.0008845176],"genre_scores_gemma":[0.99631333,0.00015332086,0.0010580886,0.0008047755,0.00047636326,0.0000324679,0.00050771225,0.000015585993,0.00063835003],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991088,0.000028273393,0.00017584072,0.00032812165,0.00015957528,0.00019937137],"domain_scores_gemma":[0.99941653,0.000029652845,0.000090307956,0.00018858815,0.00017230645,0.00010263042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018918865,0.00012130504,0.00018512092,0.00006876238,0.00012453496,0.0000132766,0.00007823471,0.00007162529,0.00008163562],"category_scores_gemma":[0.00010189861,0.00011554907,0.000041077445,0.00019837095,0.00018991187,0.000003029819,0.000057960988,0.00004807905,0.000011453651],"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":[0.0002968001,0.000062993524,0.0071764234,0.00015363972,0.0013707647,0.000051626612,0.0012442962,0.017114868,0.95941675,0.00046950422,0.0038689496,0.008773397],"study_design_scores_gemma":[0.016708426,0.011138704,0.53541017,0.0001981929,0.004384107,0.00030438812,0.0019022368,0.015943184,0.20877843,0.006862418,0.19536169,0.0030080823],"about_ca_topic_score_codex":0.00027134453,"about_ca_topic_score_gemma":0.0001716445,"teacher_disagreement_score":0.7506383,"about_ca_system_score_codex":0.00009620763,"about_ca_system_score_gemma":0.00008061997,"threshold_uncertainty_score":0.47119543},"labels":[],"label_agreement":null},{"id":"W2905231927","doi":"10.1186/s13073-019-0620-3","title":"BAP1 haploinsufficiency predicts a distinct immunogenic class of malignant peritoneal mesothelioma","year":2019,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; Mount Sinai Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; BC Cancer Foundation; Mitacs; Terry Fox Research Institute","keywords":"Haploinsufficiency; Peritoneal mesothelioma; Mesothelioma; Medicine; Human genetics; Cancer research; Immunology; Computational biology; Pathology; Oncology; Biology; Genetics; Phenotype","score_opus":0.009358087289234499,"score_gpt":0.2350689151297723,"score_spread":0.2257108278405378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905231927","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":[0.9847223,0.0038067966,0.00003911059,0.00092891685,0.00024002223,0.00051848334,0.00008730184,0.000046057343,0.009610999],"genre_scores_gemma":[0.99556196,0.00014256802,0.00010690018,0.0003238673,0.00026433356,0.00001763573,0.0002316991,0.000029120092,0.0033219354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982615,0.000027829861,0.00045260842,0.00032558906,0.0006414774,0.00029096715],"domain_scores_gemma":[0.999116,0.000048155118,0.00013613094,0.00043600038,0.000049465736,0.00021424492],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018241574,0.00020164797,0.00047159786,0.00014762186,0.000047952395,0.000002915599,0.00015447546,0.000064771084,0.0037832865],"category_scores_gemma":[0.000057078945,0.00014039574,0.00012355353,0.00024424566,0.00028762955,0.000048193106,0.000078050485,0.00010848201,0.00035349443],"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":[0.0007588505,0.0006604245,0.62927693,0.00048678246,0.00015628446,0.00006576458,0.00052760023,0.000027370425,0.3659598,0.0003086952,0.00035955716,0.0014119422],"study_design_scores_gemma":[0.002372517,0.0020894967,0.984215,0.0002449685,0.00021513029,0.00010630196,0.00029897614,0.00028705434,0.00091356575,0.000053957167,0.009060992,0.00014202092],"about_ca_topic_score_codex":0.00007311737,"about_ca_topic_score_gemma":0.0000016503355,"teacher_disagreement_score":0.36504623,"about_ca_system_score_codex":0.00009930609,"about_ca_system_score_gemma":0.000088244116,"threshold_uncertainty_score":0.9971274},"labels":[],"label_agreement":null},{"id":"W2925811623","doi":"10.1186/s13073-019-0619-9","title":"Predispositional genome sequencing in healthy adults: design, participant characteristics, and early outcomes of the PeopleSeq Consortium","year":2019,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","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":"McGill University","funders":"Canadian Institutes of Health Research; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Invitae; Cullen Foundation; Broad Institute; National Human Genome Research Institute; Illumina; National Heart, Lung, and Blood Institute; U.S. Department of Defense","keywords":"Personal genomics; Medicine; Whole genome sequencing; DNA sequencing; Family medicine; Genomic sequencing; Genetic testing; Health care; Cohort; Genome; Genetics; Biology; Internal medicine; Gene","score_opus":0.018284301281744256,"score_gpt":0.24602001790165026,"score_spread":0.227735716619906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925811623","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":[0.9966456,0.0020768878,0.00007161836,0.00047434142,0.00015799765,0.0004437353,0.00008575,0.0000033899328,0.00004064192],"genre_scores_gemma":[0.99887633,0.00025022123,0.0000788752,0.00048841554,0.0001097656,0.00002048458,0.000072752744,0.000013989354,0.000089189016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989073,0.000066321016,0.00039256134,0.00026333943,0.00013691717,0.00023355233],"domain_scores_gemma":[0.9993574,0.000031234722,0.00015826439,0.00028414288,0.00007199104,0.000096987525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025337294,0.0001329177,0.00030116306,0.000047706264,0.00004017828,0.000005192956,0.00015205347,0.00006466795,0.000041741765],"category_scores_gemma":[0.000099842095,0.00008846722,0.00004512914,0.00006758618,0.00014683895,0.0000029929722,0.00009971936,0.000072084775,0.0000034591653],"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":[0.0006961902,0.00005263226,0.6411659,0.00016149327,0.00007659395,0.000008260914,0.0012235293,0.00009752432,0.35633206,0.00007795055,0.0000140858065,0.00009374788],"study_design_scores_gemma":[0.0011320469,0.0006853688,0.9967437,0.000050000646,0.00003296602,0.000013792956,0.00040474904,0.000042926597,0.00047796668,0.000035876332,0.0002728175,0.000107826614],"about_ca_topic_score_codex":0.000134054,"about_ca_topic_score_gemma":0.000032738262,"teacher_disagreement_score":0.3558541,"about_ca_system_score_codex":0.00002970004,"about_ca_system_score_gemma":0.00019607207,"threshold_uncertainty_score":0.36075884},"labels":[],"label_agreement":null},{"id":"W2947266655","doi":"10.1186/s13073-019-0642-x","title":"Discovery and characterization of actionable tumor antigens","year":2019,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":46,"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 de Montréal; Institute for Research in Immunology and Cancer","funders":"Terry Fox Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Major histocompatibility complex; Antigen; Computational biology; Biology; Human genetics; Melanoma; Cancer research; Immunology; Genetics; Gene","score_opus":0.029648983028233395,"score_gpt":0.2853094478224947,"score_spread":0.2556604647942613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947266655","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":[0.0025750508,0.99541867,0.000046530695,0.00003303536,0.001030177,0.0005453774,0.00011931873,0.000018441688,0.00021338386],"genre_scores_gemma":[0.00024636372,0.9768973,0.0000027899928,0.00005205657,0.00007846659,0.000020557525,0.0014374983,0.00003415424,0.021230808],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986606,0.00022975654,0.00057359535,0.00027506053,0.000036644888,0.000224298],"domain_scores_gemma":[0.99892896,0.00016300923,0.00050149515,0.0003559648,0.000041621457,0.000008919562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026204356,0.00028593498,0.0016104425,0.0002781568,0.00007377575,0.000006223087,0.00017790258,0.00023947045,0.00063076895],"category_scores_gemma":[0.000041994936,0.00019542905,0.00013595149,0.00017579157,0.0002946883,0.000107448795,0.00006276694,0.00026675564,0.00017979805],"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":[0.00021146999,0.00006756592,0.000009096204,0.012344557,0.0009473076,0.0000045646493,0.00032202515,1.7623703e-8,0.45407233,0.00016600816,0.0001276012,0.53172743],"study_design_scores_gemma":[0.0004901554,0.00032537637,0.00032615318,0.00383658,0.00043489572,0.00019614818,0.000032623484,2.3168408e-8,0.00043747618,0.0000029509854,0.99374294,0.00017469977],"about_ca_topic_score_codex":0.000023228487,"about_ca_topic_score_gemma":2.3259084e-7,"teacher_disagreement_score":0.9936153,"about_ca_system_score_codex":0.00003237531,"about_ca_system_score_gemma":0.00015772032,"threshold_uncertainty_score":0.7969365},"labels":[],"label_agreement":null},{"id":"W2947485117","doi":"10.1186/s13073-019-0634-x","title":"Designing circulating tumor DNA-based interventional clinical trials in oncology","year":2019,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Genentech; Astellas Pharma; Regeneron Pharmaceuticals; Symphogen; Bristol-Myers Squibb; AstraZeneca; American Society of Clinical Oncology; GlaxoSmithKline; Celgene; Amgen; Pfizer; Agios Pharmaceuticals; Conquer Cancer Foundation","keywords":"Circulating tumor DNA; Medicine; Clinical trial; Minimal residual disease; Oncology; Snapshot (computer storage); Clinical Oncology; Precision oncology; Bioinformatics; Internal medicine; Computational biology; Medical physics; Cancer; Computer science; Biology","score_opus":0.295144265686941,"score_gpt":0.5026001751229876,"score_spread":0.20745590943604658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947485117","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":[0.00019887576,0.9936225,0.002862471,0.000105483174,0.0014062914,0.0010494497,0.00008040743,0.000007639466,0.00066692],"genre_scores_gemma":[0.00058812613,0.9924223,0.0008919612,0.00061385013,0.0032931762,0.00013563619,0.0018151556,0.000074615666,0.00016517038],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99429494,0.0016026743,0.0028332663,0.00072823116,0.00017842649,0.00036243393],"domain_scores_gemma":[0.9960244,0.0018640578,0.0013596222,0.0005163179,0.0000819754,0.00015360831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009339792,0.00039166142,0.0033585667,0.00024557122,0.000034422443,0.000013650219,0.0003860646,0.0005101973,0.00021699032],"category_scores_gemma":[0.006927795,0.00031829657,0.00094010937,0.00017768811,0.0001487656,0.0000013518317,0.00017022694,0.00046217602,0.000052274267],"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":[0.000100426994,0.00025035272,0.00022421975,0.00673756,0.00040950373,0.0001411963,0.000025065043,0.00010107199,0.0008283014,0.000055684,0.0022861136,0.9888405],"study_design_scores_gemma":[0.001789568,0.0011623893,0.00006200013,0.0044766935,0.0005956052,0.00004471549,0.000020744303,0.000020227806,0.000008485778,0.000025533283,0.99148,0.00031402468],"about_ca_topic_score_codex":0.000020229565,"about_ca_topic_score_gemma":0.000034939218,"teacher_disagreement_score":0.9891939,"about_ca_system_score_codex":0.00018928018,"about_ca_system_score_gemma":0.0015441122,"threshold_uncertainty_score":0.9999269},"labels":[],"label_agreement":null},{"id":"W2947624441","doi":"10.1186/s13073-019-0646-6","title":"Points-to-consider on the return of results in epigenetic research","year":2019,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University","funders":"Space Operations Mission Directorate; University College London Hospitals NHS Foundation Trust; Bundesministerium für Bildung und Forschung; University College London; Canadian Institutes of Health Research; National Institute for Health and Care Research; Genome Canada; Department of Health and Social Care; Government of Canada; McGill University","keywords":"Workgroup; Epigenetics; Bioethics; Epigenome; Epigenomics; Medicine; Genetics; Biology; Computer science; DNA methylation","score_opus":0.18756574348104804,"score_gpt":0.4352222109314636,"score_spread":0.24765646745041558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947624441","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":[0.001204421,0.9903628,0.00001957608,0.0014643468,0.00022568318,0.001331394,0.000056193974,0.000002541012,0.0053330027],"genre_scores_gemma":[0.0031932348,0.9941245,0.00007715935,0.00013883041,0.00051734893,0.00006700509,0.00029006044,0.000050862884,0.0015410216],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968592,0.00076897204,0.0008826435,0.0006210176,0.00048336512,0.00038478806],"domain_scores_gemma":[0.99768054,0.00048377737,0.00025810086,0.001270239,0.00020679421,0.0001005201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039632726,0.0002811383,0.0009009412,0.00039377026,0.000046320165,0.0000071125196,0.0005239908,0.00035209963,0.00005903329],"category_scores_gemma":[0.0020983303,0.00016849431,0.00014534334,0.0005779788,0.00019329376,6.5913235e-7,0.00021859977,0.00047613922,0.00010346266],"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":[0.0003340407,0.00019085394,0.000056228393,0.007944881,0.00032941691,0.000028113276,0.00085428066,0.0000701647,0.023850426,0.0004264395,0.0071479757,0.9587672],"study_design_scores_gemma":[0.00035379443,0.0009961263,0.00012988523,0.003003905,0.00006063761,0.0000015517095,0.000044142467,0.000001006405,0.0008289503,0.0001818292,0.9942279,0.00017031198],"about_ca_topic_score_codex":0.000048764785,"about_ca_topic_score_gemma":0.00004693134,"teacher_disagreement_score":0.98707986,"about_ca_system_score_codex":0.000053060197,"about_ca_system_score_gemma":0.00027536385,"threshold_uncertainty_score":0.6870998},"labels":[],"label_agreement":null},{"id":"W2948656458","doi":"10.1186/s13073-021-00917-8","title":"Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"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 Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Eye Institute; National Institute on Aging; National Institute of Environmental Health Sciences; Gillings School of Public Health; National Human Genome Research Institute; University of Western Australia; Ontario Institute for Cancer Research; Hollywood Private Hospital Research Foundation; American Sleep Medicine Foundation; Philips Respironics; American Thoracic Society; Broad Institute; University of Pittsburgh; University of Texas Health Science Center at Houston; Bayer Corporation; National Cancer Institute; University of Toronto; University of Washington; ResMed; ResMed Foundation; National Heart, Lung, and Blood Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Genetic architecture; Genome-wide association study; Sleep apnea; Genetic association; Genetics; Craniofacial; Obstructive sleep apnea; Phenotype; Medicine; Sleep disordered breathing; Candidate gene; Biology; Bioinformatics; Single-nucleotide polymorphism; Genotype; Gene; Internal medicine","score_opus":0.026831643602857336,"score_gpt":0.32189763657074477,"score_spread":0.29506599296788744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948656458","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":[0.9824103,0.0070477263,0.00086645473,0.00665401,0.00012469885,0.00027847078,0.00002634943,0.000010371078,0.0025816192],"genre_scores_gemma":[0.9956087,0.00045537567,0.0013029167,0.0007010484,0.00030827377,0.000044245564,0.0008383301,0.000011199154,0.0007299008],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99848926,0.00031895508,0.0004311206,0.00027012723,0.0001905807,0.00029993],"domain_scores_gemma":[0.99911183,0.00009545397,0.00024512783,0.000323907,0.0001829796,0.0000406852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011144411,0.00012664775,0.0003235872,0.00006069507,0.000064656466,0.0000072132566,0.00019812716,0.00015966984,0.000059514732],"category_scores_gemma":[0.0011274246,0.00009173467,0.00008021696,0.00032837034,0.000058761096,0.0000023954053,0.00006422999,0.00011929391,0.0000051812417],"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":[0.00002621881,0.0002728294,0.07527529,0.00004729761,0.00031600197,0.000014294551,0.001924101,0.00094964943,0.9122663,0.000042468248,0.00083193515,0.008033592],"study_design_scores_gemma":[0.0017021751,0.00060117646,0.91065663,0.00002484481,0.0001919161,0.000023812978,0.0034028,0.0001908437,0.0020497227,0.0006085194,0.0802911,0.00025642585],"about_ca_topic_score_codex":0.00015369256,"about_ca_topic_score_gemma":0.00022718379,"teacher_disagreement_score":0.9102166,"about_ca_system_score_codex":0.00004467011,"about_ca_system_score_gemma":0.00007507833,"threshold_uncertainty_score":0.37408313},"labels":[],"label_agreement":null},{"id":"W2953114169","doi":"10.1186/s13073-017-0426-0","title":"Integrated genomic analysis of mitochondrial RNA processing in human cancers","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"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":"Medical Research Council; European Commission; King's College London; York University; National Institute for Health and Care Research; New York University Abu Dhabi","keywords":"Biology; Mitochondrial DNA; RNA methylation; RNA; Carcinogenesis; Genetics; RNA editing; Gene; Methylation; Mitochondrion; Human mitochondrial genetics; MT-RNR1; DNA methylation; Gene expression; Methyltransferase","score_opus":0.021319208846786692,"score_gpt":0.297219339032239,"score_spread":0.27590013018545234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953114169","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":[0.99201,0.0007506321,0.0021289766,0.00019169357,0.0005142245,0.00014955389,0.000018114264,0.0000055765745,0.004231242],"genre_scores_gemma":[0.997337,0.00008647067,0.00038114825,0.00014329476,0.00062428997,0.000012977487,0.00029574314,0.000012180458,0.0011069183],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990374,0.000047723228,0.00032727912,0.0003102585,0.00009656196,0.00018076647],"domain_scores_gemma":[0.99908704,0.0000038468675,0.00025358362,0.00050627766,0.00008506605,0.00006417379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724743,0.00012594367,0.0003648915,0.00025188975,0.00012337521,0.000009927601,0.0002969367,0.00012692201,0.00027006355],"category_scores_gemma":[0.00014627357,0.00010550279,0.00007702544,0.00017824722,0.00025309823,0.0000032514063,0.00006480054,0.00010025535,0.000002260542],"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":[0.00011930046,0.000013433315,0.0052089286,0.0000119324395,0.00009999108,0.0000055516175,0.00021524038,0.00021731092,0.99236757,0.00001943308,0.00021637058,0.0015049331],"study_design_scores_gemma":[0.016750121,0.0037123945,0.5761988,0.00027014752,0.0030061712,0.000033668224,0.0019387527,0.0018986384,0.20478107,0.00029090667,0.18955208,0.0015672388],"about_ca_topic_score_codex":0.0009749936,"about_ca_topic_score_gemma":0.0021584951,"teacher_disagreement_score":0.7875865,"about_ca_system_score_codex":0.000040564126,"about_ca_system_score_gemma":0.00010305928,"threshold_uncertainty_score":0.43022788},"labels":[],"label_agreement":null},{"id":"W2969815104","doi":"10.1186/s13073-019-0665-3","title":"Identifying chemogenetic interactions from CRISPR screens with drugZ","year":2019,"lang":"en","type":"article","venue":"Genome Medicine","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":235,"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 Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; Cancer Prevention and Research Institute of Texas","keywords":"CRISPR; Computational biology; Gene; Drug resistance; Drug discovery; Biology; Bioinformatics; Genetics","score_opus":0.03123001022705107,"score_gpt":0.3184032611629535,"score_spread":0.2871732509359024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969815104","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":[0.96130806,0.0023822216,0.0033960347,0.008767251,0.0007182974,0.00067539886,0.000026097816,0.00014377681,0.022582866],"genre_scores_gemma":[0.9860369,0.00018980069,0.0027332294,0.0035250806,0.0012445023,0.000042959582,0.00018994407,0.00005499117,0.005982604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984486,0.00003053166,0.0003363821,0.0004235222,0.00046533952,0.00029562204],"domain_scores_gemma":[0.9985633,0.000089499044,0.00013003277,0.0008485379,0.00015019809,0.00021843919],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014965903,0.000210551,0.00044639895,0.00020211248,0.00006650682,0.00001076198,0.00017030608,0.000054799802,0.0106225675],"category_scores_gemma":[0.00003453374,0.00015673359,0.00006016853,0.00032540804,0.000146345,0.00008506019,0.000047907746,0.0003026208,0.0008661768],"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":[0.00066904665,0.00012482356,0.04004413,0.00012958676,0.0004384802,0.00010528201,0.0034119992,0.00003483573,0.9454869,0.00009648936,0.0066114888,0.0028469076],"study_design_scores_gemma":[0.024734395,0.0022717088,0.65778154,0.0030078539,0.00088569004,0.0006599142,0.006603915,0.00020198207,0.03643154,0.0013482196,0.26526585,0.00080735324],"about_ca_topic_score_codex":0.0005059911,"about_ca_topic_score_gemma":0.00009050088,"teacher_disagreement_score":0.9090554,"about_ca_system_score_codex":0.0001809407,"about_ca_system_score_gemma":0.00008550727,"threshold_uncertainty_score":0.9999118},"labels":[],"label_agreement":null},{"id":"W2981145485","doi":"10.1186/s13073-019-0669-z","title":"Long non-coding RNAs identify a subset of luminal muscle-invasive bladder cancer patients with favorable prognosis","year":2019,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"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 British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; Decipher Biosciences (Canada)","funders":"Universiteit Leiden","keywords":"Bladder cancer; Oncology; Cystectomy; Gene expression profiling; Medicine; Internal medicine; Long non-coding RNA; Subtyping; Prostate cancer; Bioinformatics; Cancer research; Biology; Gene expression; Gene; Cancer; RNA; Genetics","score_opus":0.008305396525023958,"score_gpt":0.2634340044580439,"score_spread":0.25512860793301995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981145485","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":[0.9926156,0.0012167863,0.004118788,0.00017229983,0.00026740236,0.0009241677,0.00004615365,0.0000089182395,0.00062987895],"genre_scores_gemma":[0.9977116,0.0004490864,0.00010795397,0.00014865866,0.00025633612,0.000092492315,0.0003190862,0.000051667033,0.0008631133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981531,0.0000466314,0.0002957246,0.0005094435,0.0005521817,0.0004429456],"domain_scores_gemma":[0.9987969,0.000014794769,0.00018210267,0.00042684504,0.00042982347,0.00014952708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023136984,0.00022074116,0.00032334265,0.0001453794,0.000056672303,0.000011672359,0.0002917459,0.00014748579,0.0004818511],"category_scores_gemma":[0.00006147552,0.0001782988,0.00006826562,0.00030981287,0.00015012547,0.000007830871,0.00015054882,0.00018557993,0.00002297531],"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":[0.00020746121,0.00009924427,0.013076069,0.00021783644,0.00027884557,0.000012883116,0.0002484254,0.00014038922,0.9842422,0.000004174158,0.00048191554,0.0009905689],"study_design_scores_gemma":[0.0055145742,0.0033034112,0.13945656,0.00054844527,0.000206661,0.000009819636,0.0003819641,0.00004797401,0.84623027,0.000011644993,0.0038251143,0.0004635885],"about_ca_topic_score_codex":0.00029915295,"about_ca_topic_score_gemma":0.00022451785,"teacher_disagreement_score":0.13801195,"about_ca_system_score_codex":0.00006586022,"about_ca_system_score_gemma":0.00025146484,"threshold_uncertainty_score":0.72708136},"labels":[],"label_agreement":null},{"id":"W2989891169","doi":"10.1186/s13073-019-0687-x","title":"Standard operating procedure for curation and clinical interpretation of variants in cancer","year":2019,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"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 Health Network; Canada's Michael Smith Genome Sciences Centre","funders":"National Cancer Institute; National Center for Advancing Translational Sciences; National Human Genome Research Institute","keywords":"Data curation; Interpretation (philosophy); Computer science; Guideline; Data science; Knowledge management; Bioinformatics; Medicine; Biology; Pathology","score_opus":0.049932975794202784,"score_gpt":0.4149008715303446,"score_spread":0.3649678957361418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989891169","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":[0.0008949859,0.99544865,0.0019147445,0.000057259873,0.00034970045,0.0010373797,0.00022772343,0.0000014262705,0.00006814836],"genre_scores_gemma":[0.0022559785,0.99600434,0.000276651,0.00008243728,0.00059126865,0.000100126206,0.00059167464,0.000024952953,0.00007257012],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882746,0.00004135651,0.00063704746,0.0003153041,0.000066254994,0.00011255915],"domain_scores_gemma":[0.9993121,0.00008728384,0.00029800355,0.00016368026,0.000100306606,0.000038608603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004212205,0.0001552082,0.0007950507,0.00006220469,0.000015124104,0.000006172844,0.00009043292,0.00020806887,0.000009225676],"category_scores_gemma":[0.00048895745,0.0001220988,0.00007864018,0.00006328589,0.000055837798,0.0000024370172,0.00005178438,0.00009635669,3.9314276e-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":[0.00009008878,0.00002526716,0.0002559677,0.011929438,0.00014045383,7.469036e-7,0.00013679622,0.00003720673,0.0003607783,0.000057753692,0.00037586497,0.9865896],"study_design_scores_gemma":[0.0016098926,0.001679057,0.00030401925,0.007699009,0.0006279999,0.000007921248,0.000058271355,0.00032505984,0.0000118269045,0.0000367085,0.98736954,0.00027070226],"about_ca_topic_score_codex":0.000026368994,"about_ca_topic_score_gemma":0.00012561759,"teacher_disagreement_score":0.9869937,"about_ca_system_score_codex":0.00003743884,"about_ca_system_score_gemma":0.00044085464,"threshold_uncertainty_score":0.4979045},"labels":[],"label_agreement":null},{"id":"W2993172114","doi":"10.1186/s13073-019-0686-y","title":"Text-mining clinically relevant cancer biomarkers for curation into the CIViC database","year":2019,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Human Genome Research Institute; National Institutes of Health; National Cancer Institute; Compute Canada","keywords":"Data curation; Medicine; Computational biology; Data science; Bioinformatics; Computer science; Biology","score_opus":0.1005962690517609,"score_gpt":0.4202753033606965,"score_spread":0.31967903430893563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993172114","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":[0.000044831275,0.9931151,0.0028804755,0.0014060831,0.0011867011,0.0010071554,0.00013095191,0.000024166102,0.0002045272],"genre_scores_gemma":[0.000045297762,0.9910636,0.0016132534,0.0006476353,0.0021711707,0.0003855748,0.0026027511,0.00006053807,0.001410199],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975528,0.0001811403,0.0009077097,0.0007357325,0.00024049268,0.00038211947],"domain_scores_gemma":[0.9979106,0.00045108172,0.00054097886,0.0008688961,0.00010450254,0.0001238976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014029358,0.00040477817,0.0010989412,0.0000922872,0.00014607757,0.000016279322,0.0006690114,0.00051165285,0.000071044895],"category_scores_gemma":[0.0015012245,0.00021757874,0.00030335947,0.00020941136,0.0004856424,0.000002898599,0.00023706378,0.00026547143,0.000025619169],"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":[0.000044914028,0.000015672507,0.0000047439917,0.0038753678,0.00036600567,0.0000023780253,0.00014481011,3.602429e-7,0.0005730676,0.000009431411,0.012541302,0.98242193],"study_design_scores_gemma":[0.0004964497,0.00062814937,0.000006549999,0.0032362605,0.0008440854,0.000014676978,0.0001852977,0.000015427746,0.0000050056624,0.000015318788,0.99427426,0.00027854345],"about_ca_topic_score_codex":0.000051620595,"about_ca_topic_score_gemma":0.000056124944,"teacher_disagreement_score":0.9821434,"about_ca_system_score_codex":0.000047935664,"about_ca_system_score_gemma":0.00048829784,"threshold_uncertainty_score":0.8872603},"labels":[],"label_agreement":null},{"id":"W3004781275","doi":"10.1186/s13073-019-0703-1","title":"Molecular profiling for precision cancer therapies","year":2020,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":901,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Precision medicine; Profiling (computer programming); Druggability; Medicine; Molecular diagnostics; Cancer Medicine; Personalized medicine; Computational biology; Genomics; Epigenetics; Bioinformatics; Circulating tumor cell; Cancer; Pathology; Biology; Computer science; Internal medicine; Genome; Metastasis; Gene; Genetics","score_opus":0.03643974730067113,"score_gpt":0.3482084839260615,"score_spread":0.3117687366253904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004781275","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":[0.000034581837,0.99407834,0.0029229154,0.00034794034,0.0005512152,0.0014708522,0.00036183355,0.000012974235,0.00021934362],"genre_scores_gemma":[0.00002768833,0.99351466,0.00076083356,0.00050085806,0.0027459394,0.000679875,0.0014688873,0.00010806731,0.00019321262],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845207,0.000040842733,0.0004646265,0.0006092394,0.00014656439,0.00028666615],"domain_scores_gemma":[0.99901354,0.00006463927,0.0002514018,0.00042375078,0.00010512187,0.00014155188],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018082741,0.00039126613,0.0010531156,0.000068784575,0.000060368726,0.000015291025,0.00036008266,0.00027718206,0.0000388249],"category_scores_gemma":[0.0002362748,0.00029629935,0.00031140682,0.00013004588,0.0000810512,9.39118e-7,0.00014402016,0.00014419261,0.0000081799335],"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":[0.000033582313,0.00001434005,0.0000018677483,0.0041124513,0.00035246043,0.000008369716,0.000048742142,0.000013772443,0.0044378033,0.00011441615,0.002065774,0.9887964],"study_design_scores_gemma":[0.0004072262,0.00043402147,6.353447e-7,0.0013021954,0.0005685056,0.0000090265785,0.00001672498,0.0000051003963,0.00028861154,0.000068252484,0.9965878,0.00031186422],"about_ca_topic_score_codex":0.00001292629,"about_ca_topic_score_gemma":0.000006257458,"teacher_disagreement_score":0.99452204,"about_ca_system_score_codex":0.000058231984,"about_ca_system_score_gemma":0.0004039943,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W3009067006","doi":"10.1186/s13073-020-0716-9","title":"Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age","year":2020,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Medical Research Council; Wellcome Trust; Biotechnology and Biological Sciences Research Council; Uppsala Universitet; World Health Organization","keywords":"Epigenome; DNA methylation; Meta-analysis; Human genetics; Computational biology; Biology; Gestational age; Genetics; Bioinformatics; Medicine; Pregnancy; Gene; Internal medicine","score_opus":0.04232468330241483,"score_gpt":0.3246173906453712,"score_spread":0.28229270734295636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009067006","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":[0.009941736,0.9879431,0.0006670394,0.00024206618,0.000043757256,0.000784828,0.00021932038,0.000007730793,0.00015040456],"genre_scores_gemma":[0.010462175,0.98122054,0.00056857546,0.000070954484,0.0001019892,0.00006874933,0.007116112,0.0000508292,0.0003400687],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99714714,0.0003187698,0.001241067,0.0007338811,0.0003262947,0.00023284416],"domain_scores_gemma":[0.99858695,0.0001235137,0.0005710477,0.0004498575,0.000099112876,0.0001695153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077190215,0.00040928822,0.0025868586,0.00072450505,0.000044018296,0.000015518774,0.00024853833,0.0003217061,0.00013217895],"category_scores_gemma":[0.0003580336,0.00033241513,0.0006240691,0.0013069112,0.00010648369,0.000004285105,0.00014557276,0.00019454859,0.0000061657684],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001036646,0.00043774833,0.0036485936,0.005864426,0.57647985,0.00016236182,0.004449449,0.0024901251,0.04990992,0.0004725052,0.00014828074,0.35583305],"study_design_scores_gemma":[0.0009509062,0.00079456327,0.023559256,0.00021049187,0.49244994,0.0000057384364,0.00006344389,0.000007532845,0.00060022535,0.00049860944,0.47987106,0.0009882435],"about_ca_topic_score_codex":0.0001088846,"about_ca_topic_score_gemma":0.00012375812,"teacher_disagreement_score":0.47972277,"about_ca_system_score_codex":0.000022889028,"about_ca_system_score_gemma":0.00010029648,"threshold_uncertainty_score":0.9999128},"labels":[],"label_agreement":null},{"id":"W3011567635","doi":"10.1186/s13073-020-0711-1","title":"A proactive genotype-to-patient-phenotype map for cystathionine beta-synthase","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Human Genome Research Institute; National Institutes of Health; Všeobecná Fakultní Nemocnice v Praze; Canadian Institutes of Health Research; Agentura Pro Zdravotnický Výzkum České Republiky; Verily Life Sciences; Univerzita Karlova v Praze; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; American Heart Association","keywords":"Missense mutation; Homocystinuria; Cystathionine beta synthase; Genetics; Phenotype; Biology; Homocysteine; Gene; Computational biology; Bioinformatics; Amino acid; Biochemistry","score_opus":0.05784580736619374,"score_gpt":0.3174733890300847,"score_spread":0.259627581663891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011567635","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":[0.70490503,0.00545048,0.015734866,0.25115922,0.00070742524,0.009693474,0.00032468568,0.00041157994,0.011613261],"genre_scores_gemma":[0.9751133,0.000062153114,0.005735864,0.013261391,0.0020447369,0.00038984296,0.0004369509,0.000106621555,0.0028491747],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976753,0.00004195742,0.00043958818,0.00059651746,0.0006322455,0.0006143672],"domain_scores_gemma":[0.99804664,0.000118247684,0.000080218706,0.0003900337,0.00042591436,0.0009389646],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027746355,0.0002752443,0.0006407749,0.00022050575,0.00013344042,0.000012189672,0.00019303843,0.0001071479,0.0012685027],"category_scores_gemma":[0.00059693673,0.00020105147,0.00011173371,0.000591822,0.00013524096,0.00006394385,0.00011157187,0.0003184605,0.0007231666],"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":[0.014452926,0.00083349727,0.00073775667,0.0019964264,0.0015242146,0.00080000196,0.04070545,0.000058828107,0.7349884,0.0010022996,0.090790264,0.112109914],"study_design_scores_gemma":[0.008402107,0.02133763,0.0060998173,0.00017605691,0.0005591721,0.00005246863,0.0022168977,0.00086931104,0.009842327,0.00012258826,0.94983435,0.00048725307],"about_ca_topic_score_codex":0.000048969934,"about_ca_topic_score_gemma":0.000006432974,"teacher_disagreement_score":0.85904413,"about_ca_system_score_codex":0.00012556494,"about_ca_system_score_gemma":0.00021069376,"threshold_uncertainty_score":0.99964446},"labels":[],"label_agreement":null},{"id":"W3017394567","doi":"10.1186/s13073-020-00740-7","title":"Widespread and tissue-specific expression of endogenous retroelements in human somatic tissues","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Common Fund; National Human Genome Research Institute; National Institute on Drug Abuse; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; NIH Office of the Director; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health","keywords":"Biology; Somatic cell; Transcriptome; Cell type; Germline; Genetics; Cell biology; Gene expression; Gene; Cell","score_opus":0.05923260331120436,"score_gpt":0.2478429670356886,"score_spread":0.18861036372448423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017394567","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":[0.9944847,0.002044418,0.000006358316,0.0025240432,0.000029661398,0.00018867143,0.000013393784,0.000015495223,0.00069321657],"genre_scores_gemma":[0.999275,0.00018257792,0.000109393106,0.00010735618,0.00022652914,0.0000066439366,0.000052918487,7.527789e-7,0.000038814494],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99923444,0.000036395108,0.00026494,0.0001803037,0.00015281289,0.00013110513],"domain_scores_gemma":[0.99972206,0.00005544275,0.00007449528,0.000038946193,0.000019960213,0.0000890875],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000089716064,0.000082821025,0.00020598773,0.000011527685,0.000063520856,0.0000050637996,0.0001132336,0.000033248056,0.0012087337],"category_scores_gemma":[0.000025963822,0.00003239211,0.000012387225,0.00019396814,0.00005687852,0.000025328813,0.000058101024,0.0000491705,0.00000783193],"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":[0.0000058470614,0.000023112389,0.004819352,0.00001649325,0.0000021487451,0.000006045274,0.001369872,0.0000010523164,0.98559815,0.00004012137,0.000044842793,0.008072974],"study_design_scores_gemma":[0.0017869717,0.0038154412,0.50637037,0.00033352064,0.000035645528,0.000022940238,0.0026832207,0.000037038186,0.4219361,0.0028459937,0.05975166,0.00038113949],"about_ca_topic_score_codex":0.000107265354,"about_ca_topic_score_gemma":0.000056080462,"teacher_disagreement_score":0.56366205,"about_ca_system_score_codex":0.0000078501935,"about_ca_system_score_gemma":0.0000019031032,"threshold_uncertainty_score":0.9997043},"labels":[],"label_agreement":null},{"id":"W3017474983","doi":"10.1186/s13073-020-00730-9","title":"Centromeric cohesion failure invokes a conserved choreography of chromosomal mis-segregations in pancreatic neuroendocrine tumor","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canada Research Chairs; Ontario Ministry of Research and Innovation; Princess Margaret Cancer Foundation; Cancer Research Society; University of Toronto; Memorial Sloan-Kettering Cancer Center; American Society of Clinical Oncology; Ontario Institute for Cancer Research; Conquer Cancer Foundation","keywords":"Cohesion (chemistry); Choreography; Biology; Centromere; Pancreas; Cancer research; Internal medicine; Medicine; Endocrinology; Genetics; Chromosome; Chemistry; Gene; Art","score_opus":0.02692334209723073,"score_gpt":0.2811877603725109,"score_spread":0.2542644182752802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017474983","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":[0.95911515,0.002660466,0.00003101372,0.036193777,0.000068172136,0.0012875502,0.000031222982,0.00010997755,0.00050267857],"genre_scores_gemma":[0.99604684,0.0004191931,0.0006816298,0.002275767,0.00026533497,0.000053736472,0.00010943435,0.000056127734,0.00009194355],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99694103,0.00018428496,0.0008420432,0.0005808733,0.0007833801,0.00066838134],"domain_scores_gemma":[0.99819154,0.0002696178,0.0002483708,0.00047202807,0.00018235458,0.00063610164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000108477136,0.00033960812,0.0010749869,0.0005586351,0.000059564038,0.0000081936705,0.00029158732,0.00000812311,0.0007686688],"category_scores_gemma":[0.0014867481,0.00027036516,0.00013937087,0.0020600983,0.0005773848,0.000120448734,0.000090734284,0.0005047761,0.00003363778],"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":[0.001075393,0.00035763436,0.25036952,0.0015417117,0.00010718332,0.013279724,0.0005201749,0.000038068196,0.73112893,0.00009321808,0.0011273301,0.00036110776],"study_design_scores_gemma":[0.03958377,0.018823547,0.7909136,0.0022203075,0.00079607277,0.00934966,0.0053120363,0.0020409115,0.06346934,0.00035464784,0.0660052,0.0011309027],"about_ca_topic_score_codex":0.00018515736,"about_ca_topic_score_gemma":0.000055459604,"teacher_disagreement_score":0.6676596,"about_ca_system_score_codex":0.000055179677,"about_ca_system_score_gemma":0.00015898576,"threshold_uncertainty_score":0.99997485},"labels":[],"label_agreement":null},{"id":"W3026662395","doi":"10.1186/s13073-020-00743-4","title":"MHC-I genotype and tumor mutational burden predict response to immunotherapy","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Center for Advancing Translational Sciences; U.S. National Library of Medicine; Entertainment Industry Foundation; National Cancer Institute; National Institutes of Health; Mark Foundation For Cancer Research; Starr Foundation; Memorial Sloan-Kettering Cancer Center; Geoffrey Beene Cancer Research Center; Cancer Research Institute; Canadian Institute for Advanced Research; Stand Up To Cancer; American Association for Cancer Research","keywords":"Medicine; Immunotherapy; Oncology; Major histocompatibility complex; Immune system; MHC class I; Internal medicine; Immunology; Genotype; Immune checkpoint; Antigen; Biology; Genetics; Gene","score_opus":0.0189961633285255,"score_gpt":0.2735283902991051,"score_spread":0.2545322269705796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026662395","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":[0.8743077,0.007583814,0.0005806231,0.1156836,0.000174412,0.0007156758,0.000030436104,0.00010314377,0.00082062895],"genre_scores_gemma":[0.96483386,0.0002865199,0.0007208429,0.031608075,0.0013284592,0.00003868322,0.00005308807,0.00004604495,0.0010844542],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985243,0.00007164054,0.0003671697,0.00036540878,0.00040473996,0.0002667392],"domain_scores_gemma":[0.99910074,0.000115831856,0.00007264034,0.00023756856,0.00009964514,0.0003735984],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004976639,0.00020110223,0.00039122242,0.00014503473,0.000088412446,0.000011604502,0.00011977067,0.000053514814,0.0018431597],"category_scores_gemma":[0.00023119182,0.0001552075,0.000056748435,0.00041516015,0.00018796019,0.000040899216,0.000037234542,0.00015816081,0.00006882149],"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":[0.044016704,0.000029387817,0.00093719835,0.000084331914,0.0002639277,0.00022755937,0.00951937,0.00001182008,0.9231398,0.000019720268,0.0041623805,0.017587801],"study_design_scores_gemma":[0.012655419,0.0068443664,0.30080828,0.00017135555,0.000120839635,0.00043817546,0.0013079023,0.00016147559,0.0015971564,0.00005471058,0.67551494,0.0003253799],"about_ca_topic_score_codex":0.00008340296,"about_ca_topic_score_gemma":0.0000021134726,"teacher_disagreement_score":0.92154264,"about_ca_system_score_codex":0.00008596817,"about_ca_system_score_gemma":0.00017044386,"threshold_uncertainty_score":0.9990693},"labels":[],"label_agreement":null},{"id":"W3030434160","doi":"10.1186/s13073-020-00748-z","title":"The Medical Genome Initiative: moving whole-genome sequencing for rare disease diagnosis to the clinic","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Whole genome sequencing; Human genetics; Translational bioinformatics; Medicine; Genome; DNA sequencing; Personal genomics; Disease; Medical genetics; Clinical Practice; Rare disease; Computational biology; Genomics; Genetics; Biology; Family medicine; Gene; Internal medicine","score_opus":0.03764518325383559,"score_gpt":0.2948966313029485,"score_spread":0.25725144804911293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030434160","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":[0.68460166,0.058553673,0.0069040135,0.24342127,0.00091062865,0.0030794386,0.0017244959,0.00007328515,0.0007315204],"genre_scores_gemma":[0.96086407,0.002601631,0.000097786164,0.030483209,0.003995057,0.0005189908,0.0010063042,0.00006353398,0.00036944658],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978172,0.00012545325,0.0005192293,0.00060491345,0.00040180722,0.00053140736],"domain_scores_gemma":[0.99793184,0.0002246258,0.00014803367,0.000578929,0.00017693391,0.0009396149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073553255,0.0002838072,0.0003059191,0.000036542726,0.0005797533,0.000046434918,0.0009151605,0.00010794536,0.00022736756],"category_scores_gemma":[0.0025770187,0.000164465,0.00019443843,0.00020934615,0.00025276444,0.000004897611,0.00041276458,0.00018330156,0.000082569495],"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":[0.0077733602,0.000743408,0.021695087,0.0020352728,0.0037988136,0.0018237355,0.024041552,0.0056041596,0.75085825,0.0009969611,0.12402496,0.056604456],"study_design_scores_gemma":[0.0010531852,0.0007496066,0.013572792,0.000040290604,0.00014756825,0.000013628604,0.0017351531,0.00015900219,0.00015271652,0.00011922845,0.98192585,0.00033099414],"about_ca_topic_score_codex":0.000010043794,"about_ca_topic_score_gemma":0.00003315056,"teacher_disagreement_score":0.85790086,"about_ca_system_score_codex":0.00004944612,"about_ca_system_score_gemma":0.00047156404,"threshold_uncertainty_score":0.67066884},"labels":[],"label_agreement":null},{"id":"W3043391491","doi":"10.1186/s13073-020-00763-0","title":"Characterisation of the transcriptome and proteome of SARS-CoV-2 reveals a cell passage induced in-frame deletion of the furin-like cleavage site from the spike glycoprotein","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":513,"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":"Medical Research Council; U.S. Food and Drug Administration; Biotechnology and Biological Sciences Research Council; Public Health England; University of Melbourne; Hamilton Health Sciences Foundation; National Institute for Health and Care Research; National Institute for Health Research Health Protection Research Unit","keywords":"Furin; Proteome; Cleavage (geology); Transcriptome; Glycoprotein; Computational biology; Biology; Cell; Open reading frame; Cell biology; Bioinformatics; Genetics; Gene; Peptide sequence; Biochemistry; Gene expression; Enzyme","score_opus":0.05282139358500089,"score_gpt":0.29613077974175817,"score_spread":0.2433093861567573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043391491","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":[0.9844095,0.000783622,0.000062414736,0.0118156755,0.0001010191,0.0025321124,0.000054929216,0.000013887555,0.00022684818],"genre_scores_gemma":[0.9838786,0.00003028084,0.000033877306,0.01571255,0.0002255809,0.00006853967,0.000009216796,0.00002861803,0.000012709318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974334,0.00030760703,0.00079387665,0.00034564946,0.0008451056,0.0002743562],"domain_scores_gemma":[0.9985493,0.00014976943,0.0004298928,0.00068526575,0.00014767912,0.000038091956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008928231,0.00021901356,0.0006527073,0.000106335574,0.00005903565,0.000006315296,0.00042500667,0.00015654051,0.000017426075],"category_scores_gemma":[0.00035608152,0.00011124203,0.0001261457,0.00084641407,0.00036712585,0.00006516794,0.00013712324,0.0005713704,0.000004648267],"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":[0.0006084287,0.00008634739,0.031396598,0.0005214631,0.000033202,0.000006280463,0.010113402,1.3508979e-7,0.95646596,0.000010864618,0.00005368686,0.00070363365],"study_design_scores_gemma":[0.0024992635,0.00058086676,0.3943055,0.00041906527,0.00008673356,0.0000043967043,0.00047287825,0.00004098529,0.5992425,0.000107889806,0.002163317,0.00007661401],"about_ca_topic_score_codex":0.0014692432,"about_ca_topic_score_gemma":0.000080735765,"teacher_disagreement_score":0.3629089,"about_ca_system_score_codex":0.00005945039,"about_ca_system_score_gemma":0.00014585089,"threshold_uncertainty_score":0.45363182},"labels":[],"label_agreement":null},{"id":"W3082735129","doi":"10.1186/s13073-020-00772-z","title":"Systems genetics analysis identifies calcium-signaling defects as novel cause of congenital heart disease","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","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":"Hospital for Sick Children","funders":"H. Lundbeck A/S; Novo Nordisk Fonden; Eva og Henry Frænkels Mindefond; A.P. Møller og Hustru Chastine Mc-Kinney Møllers Fond til almene Formaal; Novo Nordisk; Lundbeckfonden; Højteknologifonden; Fonds Wetenschappelijk Onderzoek; Kong Christian den Tiendes Fond; Aase og Ejnar Danielsens Fond; Fonden til Lægevidenskabens Fremme; Oda og Hans Svenningsens Fond; King's College London; Wellcome Trust; Børnehjertefonden; Villum Fonden; Universitaire Ziekenhuizen Leuven, KU Leuven; Hjerteforeningen; Arvid Nilssons Fond; British Heart Foundation; Dagmar Marshalls Fond","keywords":"Zebrafish; Human genetics; Genetics; Biology; Gene; Exome sequencing; Disease; Heart disease; Genetic architecture; Mutation; Allele; Bioinformatics; Phenotype; Medicine; Internal medicine","score_opus":0.043789971721207264,"score_gpt":0.31887236434067795,"score_spread":0.2750823926194707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082735129","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":[0.98038137,0.01583802,0.002480298,0.00043675842,0.00013665683,0.00040100102,0.00011627972,0.000017528402,0.00019208764],"genre_scores_gemma":[0.99807465,0.00010423343,0.000049821763,0.00040006536,0.00057622313,0.000024299574,0.00027765275,0.000033043623,0.0004600022],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809116,0.00009472094,0.00043712248,0.00049782917,0.0005170061,0.00036217825],"domain_scores_gemma":[0.9985034,0.000052093186,0.00009247616,0.00047855396,0.00031288175,0.0005606246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002647679,0.00021572686,0.00045737892,0.00017728243,0.00007484016,0.00002422339,0.00026242333,0.000099635705,0.00012513062],"category_scores_gemma":[0.00043871853,0.00019492811,0.00019029554,0.00066708104,0.0002634699,0.0000045363104,0.00021988657,0.00013142853,0.000041239524],"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":[0.00017178812,0.0000412975,0.012409969,0.0002021746,0.0007630414,0.00004120279,0.00022778272,0.0010399887,0.98483783,0.000015719314,0.00021713374,0.00003206522],"study_design_scores_gemma":[0.009970804,0.00808191,0.16419362,0.0002652545,0.011701152,0.0002081083,0.0039336686,0.012361967,0.7434704,0.0000872513,0.0429148,0.0028111036],"about_ca_topic_score_codex":0.00014574721,"about_ca_topic_score_gemma":0.000022333623,"teacher_disagreement_score":0.24136747,"about_ca_system_score_codex":0.00001976607,"about_ca_system_score_gemma":0.00015920898,"threshold_uncertainty_score":0.7948938},"labels":[],"label_agreement":null},{"id":"W3087812448","doi":"10.1186/s13073-020-00780-z","title":"Small-molecule MMP2/MMP9 inhibitor SB-3CT modulates tumor immune surveillance by regulating PD-L1","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SKiN Health","funders":"Project 211; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China; China Postdoctoral Science Foundation; Natural Science Foundation of Shanghai","keywords":"Immune system; Immune checkpoint; Immunotherapy; PD-L1; Cancer research; Tumor microenvironment; Medicine; Cancer immunotherapy; Cancer; Blockade; MMP2; Melanoma; Immunology; Metastasis; Internal medicine; Receptor","score_opus":0.020278783874511562,"score_gpt":0.23887841343820163,"score_spread":0.21859962956369006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087812448","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":[0.93054974,0.030404417,0.00042581873,0.034065083,0.0004982415,0.00082597777,0.00004641236,0.00026626955,0.0029180332],"genre_scores_gemma":[0.98837674,0.00040481045,0.00034530176,0.007666706,0.0015337724,0.000029656261,0.00030376014,0.000086648484,0.0012526051],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99739045,0.00009072065,0.00082141935,0.000624634,0.0004975119,0.00057529303],"domain_scores_gemma":[0.9986011,0.00009735667,0.0002733171,0.0005203827,0.00013980146,0.00036807233],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005489463,0.000396851,0.00086402276,0.000103730454,0.00015304014,0.000019920979,0.00025048156,0.00011175365,0.0011526897],"category_scores_gemma":[0.00028054233,0.0003163285,0.0001787422,0.0006610649,0.0003084441,0.000058422615,0.0000900306,0.00035344824,0.00006460233],"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":[0.0019475252,0.00006380098,0.0027773227,0.0002560036,0.00023338018,0.00010048587,0.0012349618,0.000007816187,0.9815378,0.0000069860143,0.0076780706,0.004155857],"study_design_scores_gemma":[0.049932964,0.011430416,0.19752033,0.002187381,0.0006278483,0.0007858011,0.00457056,0.0044258493,0.29615653,0.000085688574,0.42941976,0.0028568716],"about_ca_topic_score_codex":0.00030560925,"about_ca_topic_score_gemma":0.000012779815,"teacher_disagreement_score":0.68538123,"about_ca_system_score_codex":0.00014713575,"about_ca_system_score_gemma":0.00011098191,"threshold_uncertainty_score":0.9999289},"labels":[],"label_agreement":null},{"id":"W3088576814","doi":"10.1186/s13073-020-00778-7","title":"Mitochondrial DNA copy number can influence mortality and cardiovascular disease via methylation of nuclear DNA CpGs","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"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 Center for Advancing Translational Sciences; National Human Genome Research Institute; Johns Hopkins University; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Aging; U.S. Department of Health and Human Services; National Institutes of Health; Canadian Institutes of Health Research; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; University of Texas Health Science Center at Houston","keywords":"DNA methylation; Nuclear DNA; Mitochondrial DNA; Human genetics; DNA; Biology; Computational biology; Genetics; Medicine; Bioinformatics; Gene","score_opus":0.020166507364462374,"score_gpt":0.25353876931955555,"score_spread":0.23337226195509317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088576814","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":[0.994579,0.0010621953,0.0023972155,0.00088841276,0.00035827773,0.00026317756,0.000036246132,0.000015372902,0.00040008195],"genre_scores_gemma":[0.9968219,0.0002711619,0.00023952428,0.0012659935,0.0011683812,0.0000088956185,0.00015843066,0.000019273832,0.000046455647],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883425,0.00012150357,0.0002707846,0.0004076528,0.00021144774,0.00015435638],"domain_scores_gemma":[0.9991573,0.000010777152,0.000080138576,0.00037719132,0.000097595905,0.00027697935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014443646,0.00014828632,0.0003057198,0.00002268151,0.000050221766,0.0000043827417,0.00011154382,0.00010860555,0.00024631908],"category_scores_gemma":[0.00028570983,0.000131754,0.000109702065,0.00010952633,0.00021005828,0.0000040898362,0.00007648966,0.00008464092,0.000013064085],"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":[0.00027129703,0.000013791215,0.00581658,0.00006418809,0.00021502112,0.000013065917,0.00033828677,0.00015213752,0.992178,0.000055806497,0.0005293912,0.0003524013],"study_design_scores_gemma":[0.012670409,0.0029304377,0.19514199,0.00009636222,0.0024145634,0.00012511038,0.0006613709,0.00041566664,0.14140141,0.0008069549,0.6417825,0.00155321],"about_ca_topic_score_codex":0.00013713814,"about_ca_topic_score_gemma":0.000011039278,"teacher_disagreement_score":0.8507766,"about_ca_system_score_codex":0.000006875986,"about_ca_system_score_gemma":0.00004171952,"threshold_uncertainty_score":0.5372772},"labels":[],"label_agreement":null},{"id":"W3089563003","doi":"10.1186/s13073-020-00781-y","title":"Identification of new driver and passenger mutations within APOBEC-induced hotspot mutations in bladder cancer","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":64,"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":"Institute of Cancer Research; Institut National Du Cancer; Centre National de la Recherche Scientifique; China Scholarship Council; Fondation ARC pour la Recherche sur le Cancer; Agence Nationale de la Recherche","keywords":"APOBEC; Biology; Genetics; Gene; Genome","score_opus":0.04640789014985915,"score_gpt":0.31978104900751136,"score_spread":0.27337315885765223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089563003","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":[0.9754303,0.0015798704,0.0003681879,0.021264507,0.00015177955,0.0006334184,0.000030147561,0.000033780565,0.00050798384],"genre_scores_gemma":[0.99735063,0.00022135301,0.00017901364,0.0012019449,0.00032756414,0.00005359622,0.00007008658,0.000023146165,0.0005726477],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879694,0.000028978186,0.00047049444,0.0002905033,0.0002604608,0.00015263772],"domain_scores_gemma":[0.9993058,0.00003857879,0.00014663157,0.00016608664,0.00010503336,0.00023790773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001008519,0.00014492424,0.000347112,0.00015546425,0.000041417497,0.000005411533,0.000057580695,0.00006309863,0.0005561455],"category_scores_gemma":[0.00010831484,0.00011854121,0.00003195408,0.0004815095,0.0001074786,0.000076681885,0.0000172367,0.00014521743,0.000017649008],"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":[0.0003293463,0.00020608574,0.045215506,0.00024450902,0.0004439282,0.00007351274,0.064439625,0.00020683125,0.8762494,0.00027443617,0.0012114019,0.011105466],"study_design_scores_gemma":[0.010151936,0.00089488697,0.960442,0.00020958284,0.0008048372,0.000028105565,0.0041168053,0.00079117744,0.020198144,0.00064204365,0.0014596616,0.00026080752],"about_ca_topic_score_codex":0.0010554733,"about_ca_topic_score_gemma":0.00022370917,"teacher_disagreement_score":0.9152265,"about_ca_system_score_codex":0.000066453824,"about_ca_system_score_gemma":0.00024816682,"threshold_uncertainty_score":0.6089403},"labels":[],"label_agreement":null},{"id":"W3093139741","doi":"10.1186/s13073-020-00785-8","title":"Cord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":89,"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 Institutes of Health; National Institute of Child Health and Human Development; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Intellectual and Developmental Disabilities Research Center; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Autism Speaks","keywords":"Autism spectrum disorder; DNA methylation; Autism; Human genetics; Cord blood; Gene; Neurodevelopmental disorder; Epigenetics; Medicine; Bioinformatics; Genetics; Biology; Psychiatry; Gene expression","score_opus":0.03214117140597411,"score_gpt":0.276478552244351,"score_spread":0.24433738083837686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093139741","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":[0.972346,0.00053871295,0.00021347738,0.025636345,0.000053641,0.00072841847,0.000010306734,0.00006609089,0.00040698252],"genre_scores_gemma":[0.99847233,0.0004269723,0.00024079332,0.00060431886,0.000051588828,0.000030106881,0.0000113115875,0.00005000901,0.00011254827],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99748874,0.00018159264,0.00046703697,0.00071021257,0.0006340759,0.00051833154],"domain_scores_gemma":[0.9991578,0.00019442079,0.00015031488,0.00026531695,0.000008401431,0.0002237361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020520756,0.00026704266,0.00046962334,0.00030819612,0.00009019205,0.000021554995,0.00030160422,0.00007305759,0.00021888834],"category_scores_gemma":[0.00016431161,0.00021059628,0.00002410192,0.0011638246,0.00041933963,0.0001734119,0.00018000057,0.00029455405,0.000015819103],"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":[0.0005220057,0.0001619222,0.0899484,0.000119027376,0.000026388825,0.00040906804,0.007767711,0.0000501579,0.8959359,0.0021430373,0.0000066080743,0.00290978],"study_design_scores_gemma":[0.004542544,0.0022227503,0.96636105,0.000050845683,0.000033575565,0.000035282705,0.00012810367,0.00026243308,0.024187203,0.0014671858,0.00044029526,0.00026875717],"about_ca_topic_score_codex":0.00025099094,"about_ca_topic_score_gemma":0.00024793725,"teacher_disagreement_score":0.87641263,"about_ca_system_score_codex":0.00003303398,"about_ca_system_score_gemma":0.00008379042,"threshold_uncertainty_score":0.85878664},"labels":[],"label_agreement":null},{"id":"W3097231076","doi":"10.1186/s13073-020-00790-x","title":"The landscape of host genetic factors involved in immune response to common viral infections","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Cancer Institute; Medical Research Council; National Institutes of Health; National Institute of General Medical Sciences; Amgen","keywords":"Biology; Human leukocyte antigen; Virology; Immunology; Immune system; Antibody; Virus; Antigen; Genetics","score_opus":0.014930155484821758,"score_gpt":0.2618779068561734,"score_spread":0.24694775137135164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097231076","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":[0.98951244,0.0018565035,0.00039519975,0.007755165,0.0001019471,0.00019962834,0.000012952602,0.000005623351,0.00016052321],"genre_scores_gemma":[0.99856997,0.00034156308,0.00011049788,0.0006571387,0.0001451812,0.000017541777,0.000051749445,0.000011259731,0.000095090734],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99889797,0.00023699758,0.0003830069,0.00019002266,0.00008192076,0.00021006506],"domain_scores_gemma":[0.9993631,0.00013071185,0.000103129285,0.00025280696,0.000051708877,0.00009849801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004871125,0.000108039894,0.00024161435,0.000051748582,0.00007888581,0.000003029909,0.00019064428,0.00008964887,0.000025383228],"category_scores_gemma":[0.0009655373,0.00007456121,0.000048417183,0.00021720093,0.000094766794,8.9977846e-7,0.00010708506,0.00009385123,0.000007274233],"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":[0.000248127,0.000025510793,0.32223886,0.0000064727315,0.000036902016,0.0000012158127,0.0007540361,0.0005112442,0.67497104,0.000009527089,0.0007493369,0.0004477045],"study_design_scores_gemma":[0.0005794771,0.0015139108,0.9662794,0.0000062531058,0.0000129811615,0.0000011078147,0.0007333839,0.000059982387,0.0018165625,0.000026661874,0.028886199,0.000084084335],"about_ca_topic_score_codex":0.0001449675,"about_ca_topic_score_gemma":0.00018648201,"teacher_disagreement_score":0.6731545,"about_ca_system_score_codex":0.000013935159,"about_ca_system_score_gemma":0.00004773735,"threshold_uncertainty_score":0.30405182},"labels":[],"label_agreement":null},{"id":"W3110376154","doi":"10.1186/s13073-020-00810-w","title":"DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies","year":2020,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"University of Colorado School of Medicine, Anschutz Medical Campus; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; College of Engineering, Michigan State University; Norwegian Institute of Public Health; Faculty of Medicine and Health, University of Sydney; Medical Research Council; Anschutz Medical Campus, University of Colorado; School of Medicine, Emory University; Klinisk Institut, Syddansk Universitet; National Institutes of Health; Centre National de la Recherche Scientifique; Universitat de Barcelona; Turun Yliopisto; U.S. Department of Health and Human Services; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Jewish Health; Karolinska Institutet; ZonMw; Institut National de la Santé et de la Recherche Médicale; Commonwealth Scientific and Industrial Research Organisation; Cranfield University; North Carolina State University; Università degli Studi di Milano; Curtin University of Technology; Helsingin Yliopisto; European Commission; Directorate for Biological Sciences; Imperial College London; Oulun Yliopisto; Medizinischen Hochschule Hannover; Universitair Medisch Centrum Groningen; Michigan State University; Joint Programming Initiative A healthy diet for a healthy life; Université Grenoble Alpes; Universitat de Girona; Universitat Rovira i Virgili; University of Memphis; University of Southern California; Wellcome Trust; University of Southampton; Institut d'Investigació Sanitària Pere Virgili; School of Public Health, Imperial College London; Syddansk Universitet; Emory University; Agence Nationale de la Recherche; Rijksuniversiteit Groningen","keywords":"Epigenome; DNA methylation; Human genetics; Meta-analysis; Genetics; Body mass index; Index (typography); Biology; Computational biology; Methylation; Association (psychology); Epigenetics; Bioinformatics; Medicine; DNA; Psychology; Computer science; Internal medicine; Gene; World Wide Web; Endocrinology","score_opus":0.12684386606033415,"score_gpt":0.3979427760493749,"score_spread":0.27109890998904074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110376154","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":[0.00081762776,0.9940052,0.003550611,0.0004976945,0.00017926964,0.0006556675,0.00020288442,0.000010390696,0.00008067197],"genre_scores_gemma":[0.0053107096,0.99170107,0.0007533623,0.00020853091,0.0007141722,0.00006762349,0.00083849125,0.000051881467,0.0003541333],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99707687,0.0004213279,0.0010796526,0.0007162827,0.0004563282,0.00024956636],"domain_scores_gemma":[0.99758565,0.0004232562,0.0010417786,0.0004473934,0.00031870167,0.0001832052],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009327657,0.00047889125,0.002635123,0.00023602725,0.000065130036,0.000013611314,0.00024438303,0.0003682664,0.000053734773],"category_scores_gemma":[0.002656695,0.0003438859,0.00039797794,0.00042039182,0.000078462064,0.0000042807483,0.00017522946,0.00019870418,0.000010176107],"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":[0.00014625235,0.0001388161,0.007154995,0.015145346,0.07059386,0.000026201844,0.0013513471,0.00016902451,0.33760428,0.000027145243,0.0016007221,0.566042],"study_design_scores_gemma":[0.00028982045,0.00040840474,0.0013262196,0.00043720313,0.012713159,2.0671204e-7,0.00009731623,0.0000025465197,0.0027051503,0.00021812365,0.9814309,0.00037098187],"about_ca_topic_score_codex":0.000054924214,"about_ca_topic_score_gemma":0.000015939328,"teacher_disagreement_score":0.97983015,"about_ca_system_score_codex":0.00010151799,"about_ca_system_score_gemma":0.00012843523,"threshold_uncertainty_score":0.9999013},"labels":[],"label_agreement":null},{"id":"W3116003568","doi":"10.1186/s13073-020-00818-2","title":"Statistical power in COVID-19 case-control host genomic study design","year":2020,"lang":"en","type":"article","venue":"Genome Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","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":"McGill University; Lunenfeld-Tanenbaum Research Institute; University of Waterloo; Sinai Health System; Hospital for Sick Children; Jewish General Hospital; SickKids Foundation; Ontario Power Generation; University of Toronto","funders":"University of Toronto; Innovation, Science and Economic Development Canada; Genome Canada","keywords":"Coronavirus disease 2019 (COVID-19); Human genetics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Genome Biology; Computational biology; Host (biology); Statistical power; Genomic medicine; Biology; Medicine; Bioinformatics; Computer science; Virology; Genomics; Genetics; Infectious disease (medical specialty); Statistics; Mathematics; Genome; Internal medicine; Outbreak; Gene","score_opus":0.08373371022361077,"score_gpt":0.37689580523265465,"score_spread":0.2931620950090439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116003568","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":[0.9120959,0.0030141957,0.06171047,0.017387303,0.00017266395,0.004217929,0.00006306805,0.00017330161,0.001165155],"genre_scores_gemma":[0.83049726,0.000006875745,0.00032648258,0.168548,0.00044287523,0.000106056024,0.0000062266845,0.00005074198,0.000015470747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966519,0.00042214358,0.000697848,0.00074769976,0.0007664205,0.000713978],"domain_scores_gemma":[0.9977726,0.00097117317,0.00008289854,0.0005034526,0.00010859954,0.0005612947],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016161489,0.00033238585,0.0009168018,0.00036640523,0.00011023975,0.000023688443,0.00027257676,0.00012134514,0.0009057681],"category_scores_gemma":[0.003038538,0.00025999095,0.000060533428,0.00071037165,0.0003021351,0.000059558122,0.00010336751,0.00066422776,0.00042556698],"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":[0.013016937,0.0019988294,0.33665985,0.00072418124,0.00084472535,0.27772588,0.04442956,0.00006111418,0.31309646,0.0002646434,0.007304728,0.003873073],"study_design_scores_gemma":[0.1633185,0.049746927,0.46915448,0.00025108256,0.001743161,0.010401249,0.04544456,0.006827179,0.0010048791,0.0005223577,0.24946994,0.0021156846],"about_ca_topic_score_codex":0.0008039903,"about_ca_topic_score_gemma":0.000095820506,"teacher_disagreement_score":0.3120916,"about_ca_system_score_codex":0.00047543235,"about_ca_system_score_gemma":0.00087655394,"threshold_uncertainty_score":0.9999852},"labels":[],"label_agreement":null},{"id":"W3120883989","doi":"10.1186/s13073-020-00811-9","title":"Analysis of an Ebola virus disease survivor whose host and viral markers were predictive of death indicates the effectiveness of medical countermeasures and supportive care","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":18,"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":"U.S. Food and Drug Administration; Hamilton Health Sciences Foundation; Public Health England; National Institute for Health Research Health Protection Research Unit; National Institute for Health and Care Research; Medical Research Council; University of St Andrews; University of Liverpool; Wellcome Trust","keywords":"Ebola virus; Outbreak; Disease; Virus; Medicine; Monoclonal antibody; Antibody; Virology; Immunology; Biology; Bioinformatics; Internal medicine","score_opus":0.013755765020020336,"score_gpt":0.31913530709029314,"score_spread":0.3053795420702728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120883989","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":[0.99026084,0.007983761,0.00015931083,0.00033712405,0.00004695498,0.00045585627,0.00043539022,0.0000095745745,0.00031116535],"genre_scores_gemma":[0.9981077,0.0014330283,0.000008829076,0.00005222233,0.00006291488,0.000026690686,0.00026884046,0.000015637486,0.000024144167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972861,0.0006385594,0.0004640691,0.00035348974,0.0010385291,0.0002192999],"domain_scores_gemma":[0.997822,0.00061178027,0.00018483431,0.00034746696,0.0006314814,0.00040242763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018396484,0.00018082508,0.00089347025,0.000407044,0.00008098056,0.0000071089926,0.00012823702,0.00011179589,0.0002728512],"category_scores_gemma":[0.0009022036,0.00011136483,0.00012131226,0.00069455215,0.001231825,0.00006737435,0.00014788866,0.00025867604,2.468659e-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":[0.0053379564,0.0004794402,0.89551747,0.0024473355,0.0042120335,0.0002716452,0.0042048213,0.000020562677,0.083083875,0.00016590403,0.000012322266,0.004246622],"study_design_scores_gemma":[0.0020468994,0.0015783409,0.9805248,0.00046597005,0.0028595205,0.00002511032,0.0046826294,0.0006896558,0.0069639897,0.000028395623,0.00004901718,0.00008567617],"about_ca_topic_score_codex":0.0020461618,"about_ca_topic_score_gemma":0.0004413521,"teacher_disagreement_score":0.08500731,"about_ca_system_score_codex":0.000051875802,"about_ca_system_score_gemma":0.00039179332,"threshold_uncertainty_score":0.4541326},"labels":[],"label_agreement":null},{"id":"W3121074038","doi":"10.1186/s13073-020-00820-8","title":"Clinical laboratory test-wide association scan of polygenic scores identifies biomarkers of complex disease","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"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 British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; American Heart Association; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Vanderbilt University Medical Center; Division of Materials Research; Vanderbilt University; National Institute on Minority Health and Health Disparities; National Center for Research Resources; Georgia Clinical and Translational Science Alliance; National Center for Advancing Translational Sciences; National Human Genome Research Institute; National Institute of General Medical Sciences; Massachusetts General Hospital; National Institute of Mental Health","keywords":"Biobank; Medicine; Heritability; Population; Disease; Biomarker; Internal medicine; Bioinformatics; Genetics; Biology; Environmental health","score_opus":0.022051171533439565,"score_gpt":0.3143928985952057,"score_spread":0.29234172706176614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121074038","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":[0.9905333,0.0055161286,0.0003674667,0.002626379,0.00026250424,0.00010107398,0.00018143606,0.0000055487703,0.0004061432],"genre_scores_gemma":[0.99560547,0.0015088272,0.000496311,0.00068290485,0.00027115498,0.000004920894,0.0005131625,0.000012080815,0.00090517476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837774,0.0002693357,0.0007079631,0.00027015648,0.00017947773,0.00019534265],"domain_scores_gemma":[0.9981577,0.00039830292,0.00049601594,0.0003552703,0.00046852257,0.00012419648],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0010546463,0.00010806159,0.00039260942,0.000052733987,0.00004072296,0.0000023208217,0.00013907554,0.000133885,0.00015419946],"category_scores_gemma":[0.009072736,0.000099201825,0.000119969416,0.0002032384,0.00021617624,0.0000019088961,0.00009375792,0.0000632306,0.0000043270866],"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":[0.000029103106,0.00006891373,0.76819366,0.000032616248,0.00018615396,0.0000020640978,0.000026540236,0.000012742985,0.22298206,0.000007258581,0.008221076,0.00023781208],"study_design_scores_gemma":[0.00065128325,0.0001882506,0.98791444,0.000022076656,0.00011741828,5.7378054e-7,0.00015608553,0.000019136543,0.0024813826,0.000119307566,0.008243562,0.00008649977],"about_ca_topic_score_codex":0.000042700358,"about_ca_topic_score_gemma":0.000066099485,"teacher_disagreement_score":0.22050068,"about_ca_system_score_codex":0.000031063577,"about_ca_system_score_gemma":0.00027982896,"threshold_uncertainty_score":0.99927425},"labels":[],"label_agreement":null},{"id":"W3126228408","doi":"10.1186/s13073-020-00816-4","title":"A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"FP7 Health; Fundación Científica Asociación Española Contra el Cáncer; Division of Cancer Epidemiology and Genetics, National Cancer Institute; Instituto de Salud Carlos III; Stand Up To Cancer; National Cancer Institute; National Institutes of Health; Associazione Angela Serra per la Ricerca sul Cancro; University of Cambridge; Department for Employment and Learning, Northern Ireland; Ministerio de Ciencia, Innovación y Universidades; World Health Organization","keywords":"Genome-wide association study; Human genetics; Pancreatic cancer; Computational biology; Systems biology; Medicine; Bioinformatics; Cancer; Biology; Internal medicine; Genetics; Single-nucleotide polymorphism; Genotype; Gene","score_opus":0.019255739623637327,"score_gpt":0.3286423198979745,"score_spread":0.3093865802743372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126228408","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":[0.9869769,0.0014903335,0.0018247209,0.0078103314,0.00031018388,0.0002941274,0.000054304415,0.000012602648,0.0012264453],"genre_scores_gemma":[0.9854181,0.0004857368,0.004603982,0.006270086,0.0006508536,0.00010251259,0.00020691226,0.000022780501,0.0022390445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983102,0.0002002957,0.00036301106,0.0005754844,0.0001764499,0.00037458018],"domain_scores_gemma":[0.9987498,0.00005136964,0.000092944385,0.0006027305,0.00029165353,0.0002114801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035811056,0.00019211392,0.0003492859,0.000049994444,0.00009485381,0.000006268973,0.00015894361,0.0001347308,0.00068191346],"category_scores_gemma":[0.0005911772,0.00016169516,0.00007630139,0.00015901103,0.00006581084,8.744911e-7,0.00011480742,0.00010880782,0.0000436553],"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":[0.00005528742,0.0001215865,0.09655245,0.000027388482,0.00014323095,0.000016930995,0.00020758387,0.00260648,0.8907849,0.000016091042,0.0034078187,0.006060227],"study_design_scores_gemma":[0.0008513285,0.0009806453,0.9676146,0.000026095833,0.00006471405,0.000012214705,0.000299737,0.00011354376,0.0025134033,0.000050849518,0.027266191,0.00020669644],"about_ca_topic_score_codex":0.00026908456,"about_ca_topic_score_gemma":0.0006414196,"teacher_disagreement_score":0.8882715,"about_ca_system_score_codex":0.00009166144,"about_ca_system_score_gemma":0.00023190181,"threshold_uncertainty_score":0.7466474},"labels":[],"label_agreement":null},{"id":"W3128672366","doi":"10.1186/s13073-021-00838-6","title":"Improved prediction of fracture risk leveraging a genome-wide polygenic risk score","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill Genome Centre; McGill University Health Centre; University of Manitoba; McGill University; Jewish General Hospital","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Skånes universitetssjukhus; King's College London; Oxford University Hospitals NHS Foundation Trust; NIHR Oxford Biomedical Research Centre; Wellcome Trust; Sahlgrenska Universitetssjukhuset; Australian Catholic University; Lunds Universitet; Novo Nordisk Fonden; Peking University; National Institute for Health and Care Research; University of Oxford; Canadian Institutes of Health Research; Compute Canada; McGill University","keywords":"Medicine; Confidence interval; Odds ratio; Osteoporosis; Polygenic risk score; Osteoporotic fracture; Demography; Odds; Internal medicine; Risk assessment; Statistics; Physical therapy; Bone mineral; Single-nucleotide polymorphism; Logistic regression; Genetics; Biology; Computer science; Mathematics","score_opus":0.011245840184032553,"score_gpt":0.2336112779811237,"score_spread":0.22236543779709114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128672366","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":[0.95568687,0.0105483895,0.03183266,0.00088775525,0.0002610547,0.0001747517,0.00015749632,0.0000145587055,0.0004364531],"genre_scores_gemma":[0.99097675,0.004521734,0.0013307527,0.00076162384,0.000753073,0.000016041493,0.0008599772,0.000025304971,0.00075475406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983607,0.0002339453,0.00049540575,0.0004486722,0.00013714506,0.00032411946],"domain_scores_gemma":[0.99863815,0.000065230095,0.00042218814,0.00052481587,0.00023110479,0.00011847917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589258,0.00018781344,0.0003708991,0.00006752576,0.00013451802,0.0000041614944,0.00015941843,0.00023592934,0.00021432442],"category_scores_gemma":[0.0012809943,0.00016225333,0.00012517978,0.00018257351,0.000116140145,0.0000025331342,0.00010788476,0.00023670132,0.000005793293],"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":[0.000045622448,0.00005316419,0.51938814,0.00003039157,0.00034851156,0.00000438472,0.00047103537,0.0011095516,0.47535604,0.000002421742,0.0013403024,0.0018504525],"study_design_scores_gemma":[0.0013069581,0.00044383222,0.9553351,0.000016505088,0.00022215335,0.00002644575,0.00048934965,0.00032160376,0.004682873,0.00025351474,0.03673826,0.0001634196],"about_ca_topic_score_codex":0.00021950567,"about_ca_topic_score_gemma":0.000058421498,"teacher_disagreement_score":0.47067317,"about_ca_system_score_codex":0.00003496897,"about_ca_system_score_gemma":0.00014239887,"threshold_uncertainty_score":0.6616499},"labels":[],"label_agreement":null},{"id":"W3134318926","doi":"10.1186/s13073-021-00859-1","title":"SARS-CoV-2 vaccine ChAdOx1 nCoV-19 infection of human cell lines reveals low levels of viral backbone gene transcription alongside very high levels of SARS-CoV-2 S glycoprotein gene transcription","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"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":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; U.S. Food and Drug Administration; Hamilton Health Sciences Foundation","keywords":"Biology; Virology; Gene; Transcriptome; Cell culture; Viral replication; Proteome; Glycoprotein; Viral vector; Transcription (linguistics); Polyadenylation; Gene expression; Genetics; Virus; Recombinant DNA","score_opus":0.050123443414038536,"score_gpt":0.3194673449097172,"score_spread":0.26934390149567866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134318926","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":[0.98685145,0.0069644176,0.0041117477,0.00042103505,0.00029362485,0.00082947704,0.0004366378,0.000024700104,0.0000668997],"genre_scores_gemma":[0.99572366,0.0013301703,0.0006563216,0.00036345504,0.0006913567,0.000048867078,0.0008286381,0.000093049006,0.00026446988],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99604243,0.00043435785,0.0014555344,0.00080002134,0.00070883683,0.00055881735],"domain_scores_gemma":[0.99748856,0.00002672246,0.00056989345,0.0009821085,0.0008269059,0.00010578977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011933871,0.0004874657,0.0010958661,0.00039253436,0.00010446926,0.000009785682,0.00036541352,0.00042717933,0.00014177887],"category_scores_gemma":[0.00010309026,0.0004781987,0.00033010918,0.00062245346,0.0002808142,0.000028734996,0.00007778477,0.00028864213,0.0000065643485],"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":[0.0019503939,0.00043675987,0.00023571636,0.0009032364,0.00025734043,0.000029210409,0.00037735837,0.00011162537,0.9938873,0.000009823422,0.00017969662,0.0016215083],"study_design_scores_gemma":[0.005736786,0.0061252224,0.010000422,0.00018480836,0.00016585425,0.000049294173,0.000034858243,0.000017856128,0.9767621,0.00025595122,0.00029877332,0.00036804928],"about_ca_topic_score_codex":0.0009395912,"about_ca_topic_score_gemma":0.0009221337,"teacher_disagreement_score":0.017125206,"about_ca_system_score_codex":0.0000904415,"about_ca_system_score_gemma":0.0002640717,"threshold_uncertainty_score":0.99976695},"labels":[],"label_agreement":null},{"id":"W3143009662","doi":"10.1186/s13073-021-00860-8","title":"Emergence and evolution of antimicrobial resistance genes and mutations in Neisseria gonorrhoeae","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":56,"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 Institute of Allergy and Infectious Diseases; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Institute of Genetics; Japan Agency for Medical Research and Development","keywords":"Neisseria gonorrhoeae; Biology; Genetics; Genome; Lineage (genetic); Phylogenetic tree; Horizontal gene transfer; Phylogenetics; Antibiotic resistance; Allele; Gene; Neisseria; Virology; Bacteria","score_opus":0.015462446724829727,"score_gpt":0.2829622325999218,"score_spread":0.2674997858750921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143009662","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":[0.9587611,0.038882915,0.00023360798,0.0011116113,0.0002000363,0.00012170377,0.000010815613,0.000008645829,0.0006695647],"genre_scores_gemma":[0.9965853,0.001745325,0.00013736398,0.000011499967,0.000031387688,0.000008299636,0.000036393107,0.000005396355,0.0014390365],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992536,0.00012117763,0.00021636105,0.0002497197,0.0000129389055,0.00014623189],"domain_scores_gemma":[0.9995479,0.0000694303,0.000049701852,0.0001738714,0.00014472057,0.000014353477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025889027,0.00007008843,0.00018012071,0.00015952818,0.000075919146,0.0000022224822,0.000044184795,0.000060547856,0.00034040964],"category_scores_gemma":[0.0002787444,0.0000647433,0.000010907271,0.00036022172,0.00042783428,0.00005569551,0.00004425424,0.00012876623,0.000010775948],"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":[0.000038688275,0.000040041992,0.02939949,0.000057314177,0.000025944668,0.0000020301366,0.0005006599,0.000007444453,0.9682807,0.00051752815,0.00011456092,0.0010156304],"study_design_scores_gemma":[0.0011032565,0.00009600366,0.9244985,0.000076213975,0.000027590884,0.00015800436,0.0013441372,0.000002443699,0.06441656,0.00046122837,0.007711372,0.000104665734],"about_ca_topic_score_codex":0.00022415414,"about_ca_topic_score_gemma":0.00040880684,"teacher_disagreement_score":0.9038641,"about_ca_system_score_codex":0.000024932171,"about_ca_system_score_gemma":0.00007396867,"threshold_uncertainty_score":0.37272468},"labels":[],"label_agreement":null},{"id":"W3154328670","doi":"10.1186/s13073-021-00870-6","title":"Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunny Hill Health Centre for Children; BC Children's Hospital; B.C. Women's Hospital & Health Centre; University of British Columbia","funders":"Common Fund; National Institute of Environmental Health Sciences; National Cancer Institute; NIH Office of the Director; National Institute on Drug Abuse; National Institutes of Health; National Institute of Mental Health; National Heart, Lung, and Blood Institute; Ministero della Salute; Hunan Provincial Science and Technology Department; National Natural Science Foundation of China; Regione Lombardia; National Human Genome Research Institute; Wellcome Trust; National Institute of Neurological Disorders and Stroke; National Institute for Health and Care Research; Deutsche Forschungsgemeinschaft; University of Washington; Simons Foundation Autism Research Initiative; Howard Hughes Medical Institute","keywords":"Human genetics; Gene; Genetics; Biology; Medicine; Bioinformatics; Computational biology","score_opus":0.008379799618154765,"score_gpt":0.23610746913819783,"score_spread":0.22772766952004306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154328670","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":[0.99235195,0.006113707,0.000069735026,0.0005378704,0.00012083362,0.000102895865,0.0000941196,0.000004166664,0.0006047332],"genre_scores_gemma":[0.99625826,0.0011824465,0.00037877308,0.00027802621,0.00008326182,0.000013677356,0.0015186133,0.000014543292,0.00027238918],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999217,0.000031600375,0.0002569968,0.00025083637,0.00009117611,0.0001523961],"domain_scores_gemma":[0.99959815,0.000007993926,0.00005819345,0.00020329736,0.000069185095,0.00006320847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005880908,0.000101112346,0.00015255663,0.000056504385,0.00003489447,0.0000041896024,0.00011001265,0.000047949074,0.000100462916],"category_scores_gemma":[0.000088577835,0.000093448965,0.000041443902,0.00013868233,0.00008034628,0.0000017621237,0.00008424833,0.000037910308,0.0000029168862],"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":[0.00005603792,0.000087416855,0.016508626,0.000049644117,0.000033025986,0.000081410304,0.00046297547,0.00020747668,0.9767813,0.000011841109,0.00034760014,0.0053726565],"study_design_scores_gemma":[0.004698699,0.0005909162,0.85547566,0.00009530227,0.00006984181,0.00015242846,0.0029800322,0.00007214931,0.05174033,0.00029236788,0.083262265,0.00057000516],"about_ca_topic_score_codex":0.00004123525,"about_ca_topic_score_gemma":0.00027374923,"teacher_disagreement_score":0.92504096,"about_ca_system_score_codex":0.000010105837,"about_ca_system_score_gemma":0.0001305764,"threshold_uncertainty_score":0.3810738},"labels":[],"label_agreement":null},{"id":"W3155675633","doi":"10.1186/s13073-021-00864-4","title":"Finding associations in a heterogeneous setting: statistical test for aberration enrichment","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gene expression and cancer classification","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":"Canadian Institute for Advanced Research; Vector Institute; Hospital for Sick Children; University of Toronto","funders":"National Institute on Aging; National Institutes of Health; Canadian Institutes of Health Research; Hospital for Sick Children; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Statistical power; Statistical hypothesis testing; Multiple comparisons problem; Human genetics; Biomarker; Computational biology; Bioinformatics; Medicine; Computer science; Statistics; Gene; Biology; Genetics; Mathematics","score_opus":0.02301266702751673,"score_gpt":0.31167792184701204,"score_spread":0.2886652548194953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155675633","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":[0.7536543,0.0061583,0.21513349,0.017445035,0.0012026965,0.001409634,0.00044579883,0.000049408933,0.004501333],"genre_scores_gemma":[0.9943613,0.000087125554,0.0015956063,0.00059086626,0.00033347312,0.00009967604,0.0017483677,0.0000107339465,0.0011728673],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992525,0.000035714143,0.00021067461,0.00024555667,0.000105350824,0.00015019152],"domain_scores_gemma":[0.99958843,0.0000482318,0.000068471614,0.00015519209,0.00008703439,0.00005262722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019269479,0.00007414394,0.00010292149,0.000041630425,0.0000598874,0.000008354439,0.000053485837,0.000067224166,0.00007271137],"category_scores_gemma":[0.0005551511,0.00007023102,0.000022578644,0.000102688384,0.000020880845,0.0000014422882,0.000024224271,0.000043462533,0.0000032719663],"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":[0.0000105295685,0.00005671041,0.0034281614,0.000013246336,0.0000114011755,0.0000028463526,0.00017514495,0.00011402474,0.990307,0.000107793596,0.0036425076,0.0021306672],"study_design_scores_gemma":[0.0056054057,0.0011840006,0.21112765,0.00009146011,0.000096661155,0.000044556873,0.0013049429,0.001358916,0.33076224,0.0014259438,0.44639444,0.00060377206],"about_ca_topic_score_codex":0.00000394607,"about_ca_topic_score_gemma":0.000038014918,"teacher_disagreement_score":0.6595447,"about_ca_system_score_codex":0.000051921917,"about_ca_system_score_gemma":0.00009116599,"threshold_uncertainty_score":0.2863938},"labels":[],"label_agreement":null},{"id":"W3156723047","doi":"10.1186/s13073-021-00858-2","title":"A community-driven resource for genomic epidemiology and antimicrobial resistance prediction of Neisseria gonorrhoeae at Pathogenwatch","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada","funders":"National Institute of Allergy and Infectious Diseases; European Centre for Disease Prevention and Control; Conselleria de Sanitat Universal i Salut Pública; Wellcome Trust; Wellcome; World Health Organization; National Institute for Health and Care Research; Li Ka Shing Foundation; U.S. Department of Veterans Affairs; National Institutes of Health; National Science Foundation","keywords":"Neisseria gonorrhoeae; Antibiotic resistance; Men who have sex with men; Public health; Gonorrhea; Genomics; Medicine; Molecular epidemiology; Azithromycin; Biology; Genetics; Genome; Virology; Genotype; Antibiotics; Syphilis","score_opus":0.05317493685720472,"score_gpt":0.3076978842285473,"score_spread":0.2545229473713426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156723047","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":[0.9822053,0.01097443,0.00081219786,0.0037226786,0.00036480586,0.0005359861,0.00032716594,0.00004198342,0.0010154541],"genre_scores_gemma":[0.98610735,0.0009292081,0.00072784134,0.00026193523,0.00020501988,0.000071225855,0.0013901928,0.000034694996,0.01027254],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714535,0.0014007487,0.0005893272,0.0004313799,0.000017682407,0.00041550174],"domain_scores_gemma":[0.9976257,0.0010948585,0.00021935171,0.0007245868,0.0002908501,0.000044651923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042895,0.00017583945,0.00062175293,0.00015907447,0.0005035911,0.0000025850584,0.00019647073,0.00022496757,0.00029230063],"category_scores_gemma":[0.0020069603,0.00015901629,0.00007694679,0.0002273456,0.0009121887,0.000042056123,0.00023728094,0.00048828445,0.000029838022],"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":[0.0004826849,0.00010485837,0.012914566,0.00020494912,0.00018797662,0.0000012003122,0.0011410613,0.000025078685,0.97854847,0.0002313608,0.005528602,0.000629214],"study_design_scores_gemma":[0.003808364,0.0008848961,0.39137402,0.00013607969,0.00016526651,0.0005478058,0.000984057,0.000006853165,0.05478969,0.00054864795,0.546542,0.00021232899],"about_ca_topic_score_codex":0.00012928933,"about_ca_topic_score_gemma":0.00018439925,"teacher_disagreement_score":0.92375875,"about_ca_system_score_codex":0.00013771499,"about_ca_system_score_gemma":0.000092728405,"threshold_uncertainty_score":0.6484496},"labels":[],"label_agreement":null},{"id":"W3164102793","doi":"10.1186/s13073-021-00903-0","title":"Demonstrating trustworthiness when collecting and sharing genomic data: public views across 22 countries","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Ontario Institute for Cancer Research","funders":"Universiteit Hasselt; Wellcome Trust; Wellcome","keywords":"Transparency (behavior); Data sharing; Biobank; Public health; Trustworthiness; Open data; Data collection; Public trust; Openness to experience; Internet privacy; Medicine; Data science; Public relations; Computer science; Political science; World Wide Web; Psychology; Bioinformatics; Sociology; Biology; Social psychology; Computer security","score_opus":0.6349424481360764,"score_gpt":0.5630315779920775,"score_spread":0.07191087014399888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164102793","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":[0.9091546,0.027412733,0.0014544699,0.05095183,0.0006356822,0.00076621125,0.00006271211,0.00021656492,0.009345227],"genre_scores_gemma":[0.9671028,0.0073570036,0.006089019,0.005811842,0.0026711805,0.000041041636,0.0003219898,0.00012952356,0.010475587],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956442,0.0001356927,0.0010822586,0.0011591995,0.0011369473,0.00084167975],"domain_scores_gemma":[0.9920992,0.0043764953,0.0002511221,0.0017531964,0.0009317926,0.000588141],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010661339,0.00027508358,0.00089548324,0.00011752311,0.00065695675,0.00018070432,0.0006451191,0.0003246459,0.0010581148],"category_scores_gemma":[0.025141243,0.0002266255,0.00005238501,0.00061617524,0.0009045167,0.00024796627,0.0020381901,0.0020499132,0.000041292053],"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":[0.00045321175,0.00035233703,0.8603919,0.006229712,0.0010703347,0.0031033845,0.024331573,0.000012325144,0.0504906,0.012994656,0.0036990358,0.036870897],"study_design_scores_gemma":[0.026750652,0.0021537533,0.33303103,0.007151321,0.0012095553,0.005994811,0.048932914,0.009785425,0.00095935765,0.04735179,0.51426667,0.0024127366],"about_ca_topic_score_codex":0.00019572423,"about_ca_topic_score_gemma":0.002139247,"teacher_disagreement_score":0.5273609,"about_ca_system_score_codex":0.00017982241,"about_ca_system_score_gemma":0.0011091522,"threshold_uncertainty_score":0.99985504},"labels":[],"label_agreement":null},{"id":"W3164854033","doi":"10.1186/s13073-021-00911-0","title":"Advancing precision public health using human genomics: examples from the field and future research opportunities","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"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 Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Public health; Population health; Precision medicine; Data science; Health policy; Biostatistics; Genomics; Leverage (statistics); Health services research; Medicine; Computer science; Biology; Artificial intelligence; Genome","score_opus":0.20398589936859113,"score_gpt":0.40389343328860916,"score_spread":0.19990753392001803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164854033","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":[0.8832541,0.03364804,0.001871755,0.08030189,0.00018759242,0.00013339144,0.000020586232,0.0000053665653,0.00057728705],"genre_scores_gemma":[0.94687414,0.027703606,0.005698478,0.01191939,0.0059388094,0.000018043947,0.0008012459,0.000033731,0.0010125469],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836606,0.0005145836,0.00027695802,0.0003083204,0.00014369612,0.0003903735],"domain_scores_gemma":[0.9989272,0.0002798754,0.00009586428,0.0003705434,0.00018394351,0.00014260272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002213942,0.00009844349,0.00020618446,0.000040759205,0.0005497538,0.000019144505,0.00015023584,0.00011324458,0.00015042143],"category_scores_gemma":[0.000754842,0.00007043199,0.000027200276,0.0000917943,0.00013295938,0.0000028553993,0.00022892485,0.00017193038,8.563092e-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":[0.0000314902,0.00007200652,0.024375316,0.000050209517,0.00024635508,0.00002064646,0.0058621448,0.000045359142,0.8042014,0.0011589009,0.054576702,0.10935942],"study_design_scores_gemma":[0.00037782785,0.00033517004,0.051028527,0.000022144037,0.00001050495,0.00001978088,0.014104423,0.000042822012,0.00043324602,0.0014250091,0.93208975,0.000110820736],"about_ca_topic_score_codex":0.0003496059,"about_ca_topic_score_gemma":0.0004182617,"teacher_disagreement_score":0.87751305,"about_ca_system_score_codex":0.00004412514,"about_ca_system_score_gemma":0.00030903818,"threshold_uncertainty_score":0.4228317},"labels":[],"label_agreement":null},{"id":"W3176120484","doi":"10.1186/s13073-021-00920-z","title":"Systems pharmacogenomics identifies novel targets and clinically actionable therapeutics for medulloblastoma","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Hedgehog Signaling Pathway Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Diamantina Institute, University of Queensland; Cure Brain Cancer Foundation; Brain Tumour Research; University of Melbourne; National Breast Cancer Foundation; Hospital for Sick Children; University of Queensland; National Cancer Institute; National Institutes of Health; Children's Hospital Foundation","keywords":"Pharmacogenomics; Medulloblastoma; Medicine; Human genetics; Computational biology; Bioinformatics; Systems biology; Precision medicine; Natural Product Research; Biology; Pharmacology; Genetics; Cancer research; Pathology; Gene","score_opus":0.04341371923095596,"score_gpt":0.3227083926431898,"score_spread":0.27929467341223385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176120484","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":[0.89358425,0.056971475,0.044251937,0.0018308453,0.0019677535,0.0005813119,0.00015888919,0.00003617899,0.0006173666],"genre_scores_gemma":[0.98765707,0.0037658273,0.0014452972,0.001388207,0.0017596446,0.00007636768,0.00026161066,0.00004400189,0.0036019443],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988556,0.000033129094,0.00035859668,0.00038100523,0.00012544118,0.00024621695],"domain_scores_gemma":[0.9992037,0.00007361389,0.00010762991,0.00022349496,0.00030276366,0.00008882282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043690045,0.00016026845,0.0002687418,0.00003288551,0.00014731163,0.000019218112,0.000109393026,0.000103152786,0.000013401903],"category_scores_gemma":[0.00019534757,0.00014093581,0.00005553107,0.00006684531,0.00016141128,0.0000027842848,0.00010432919,0.00007323613,0.000003686451],"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":[0.00007677787,0.00004173248,0.000282184,0.00009423888,0.00030228953,0.0000046081504,0.00020406077,0.000074373536,0.99769586,0.000049455834,0.0007524549,0.00042195863],"study_design_scores_gemma":[0.0037865823,0.00078782154,0.00163604,0.00006342365,0.00031039075,0.00013983471,0.0020717273,0.00041695006,0.22133085,0.000097206386,0.7689313,0.00042781557],"about_ca_topic_score_codex":0.000006602676,"about_ca_topic_score_gemma":0.000006790153,"teacher_disagreement_score":0.77636504,"about_ca_system_score_codex":0.000016416689,"about_ca_system_score_gemma":0.00009748759,"threshold_uncertainty_score":0.57471955},"labels":[],"label_agreement":null},{"id":"W3180133480","doi":"10.1186/s13073-021-00928-5","title":"An international policy on returning genomic research results","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institutes of Health; Duke-NUS Medical School; Genentech; Wellcome Trust","keywords":"Pace; Alliance; Genomics; Medicine; Science policy; Genomic medicine; Political science; Computational biology; Biology; Public administration; Genetics; Genome","score_opus":0.04060741727547137,"score_gpt":0.3835100571401762,"score_spread":0.3429026398647049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180133480","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":[0.9672905,0.0011313445,0.000028526196,0.0039175954,0.0003039378,0.0000846013,0.00008792235,0.000009984378,0.027145568],"genre_scores_gemma":[0.98988086,0.0009434462,0.00015796168,0.0011383487,0.003628369,0.000007799756,0.0016198108,0.000022444347,0.002600989],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986775,0.00011515731,0.00021909819,0.00045244535,0.00025845837,0.00027735927],"domain_scores_gemma":[0.998911,0.000020460573,0.0000478772,0.0005635088,0.0002744902,0.00018266463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005290142,0.00010815034,0.00011735716,0.00014756108,0.00012416406,0.000024007359,0.0003223852,0.0000814115,0.00010916794],"category_scores_gemma":[0.0005965649,0.000093838826,0.00004161167,0.00015763378,0.0001159928,0.0000025257398,0.00013742966,0.00014610987,0.000043847693],"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":[0.00025547558,0.000079350815,0.000690699,0.000006933944,0.000042419826,0.000115901275,0.00021925868,0.00013960878,0.9934744,0.00057572074,0.002119002,0.002281207],"study_design_scores_gemma":[0.002444211,0.0014112091,0.08694881,0.000049547292,0.000013273678,0.00013923369,0.0010106422,0.00007343459,0.03497103,0.0005421949,0.87209964,0.0002967697],"about_ca_topic_score_codex":0.00006703381,"about_ca_topic_score_gemma":0.000024262154,"teacher_disagreement_score":0.95850337,"about_ca_system_score_codex":0.000052983436,"about_ca_system_score_gemma":0.00035435913,"threshold_uncertainty_score":0.38266364},"labels":[],"label_agreement":null},{"id":"W3180211998","doi":"10.1186/s13073-021-00929-4","title":"Haplotype-resolved germline and somatic alterations in renal medullary carcinomas","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chromatin Remodeling and Cancer","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 Institute of General Medical Sciences; National Cancer Institute; Dalhousie University; Children’s Oncology Group; Broad Institute; Nationwide Children's Hospital; Pharmaceutical Research and Manufacturers of America Foundation","keywords":"Germline; Haplotype; Genetics; SMARCB1; Biology; Germline mutation; Locus (genetics); Allele; Loss of heterozygosity; Somatic cell; Mutation; Gene","score_opus":0.013639081175067288,"score_gpt":0.2564216776354201,"score_spread":0.24278259646035283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180211998","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":[0.976823,0.018226147,0.0021462718,0.0016847788,0.00009570493,0.00008112172,0.000006867976,0.000008838374,0.0009272915],"genre_scores_gemma":[0.99581873,0.00072503556,0.0009912341,0.0006108479,0.00046550087,0.000012685035,0.00027360418,0.000014439922,0.0010878886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992422,0.0000406738,0.00022261353,0.00024378486,0.00009967699,0.00015104444],"domain_scores_gemma":[0.9995868,0.000011517026,0.000035439418,0.000237372,0.00005659202,0.00007228566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014057869,0.000099888064,0.00015954542,0.000038769955,0.000044810717,0.0000071121017,0.000057271787,0.000064545915,0.00009379672],"category_scores_gemma":[0.00008868098,0.000087042536,0.000023202503,0.000092856186,0.00006620852,0.0000018250732,0.000057017704,0.00007245476,0.0000034750815],"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":[0.000019926216,0.00002495939,0.0009725908,0.000044417393,0.000019014797,0.000033397686,0.00030221386,0.0002829435,0.99634254,0.000029410972,0.0003866044,0.0015419711],"study_design_scores_gemma":[0.026333978,0.003002995,0.23790577,0.0017257201,0.0005897855,0.002151798,0.004167155,0.039451025,0.46249756,0.0042622746,0.21495889,0.0029530372],"about_ca_topic_score_codex":0.000048085425,"about_ca_topic_score_gemma":0.00022354283,"teacher_disagreement_score":0.533845,"about_ca_system_score_codex":0.000014490377,"about_ca_system_score_gemma":0.00009387055,"threshold_uncertainty_score":0.35494915},"labels":[],"label_agreement":null},{"id":"W3189211482","doi":"10.1186/s13073-021-00932-9","title":"Genome-wide sequencing as a first-tier screening test for short tandem repeat expansions","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":53,"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; BC Cancer Agency; BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; BC Children's Hospital; Michael Smith Health Research BC; Genome British Columbia; Rare Disease Foundation; BC Children’s Hospital Foundation; Children's Hospital Foundation","keywords":"Genetics; Microsatellite; Trinucleotide repeat expansion; Biology; Penetrance; Spinocerebellar ataxia; Locus (genetics); Proband; Human genetics; Computational biology; Mutation; Gene; Phenotype; Allele","score_opus":0.06704613396577919,"score_gpt":0.29681072691921057,"score_spread":0.22976459295343138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189211482","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":[0.9756515,0.0014244112,0.013373588,0.0048144846,0.00044197726,0.0008502545,0.00009130076,0.00015683548,0.0031956749],"genre_scores_gemma":[0.9859079,0.00028709663,0.001795729,0.006952292,0.00067506166,0.00018378823,0.00007486953,0.00007801206,0.0040452145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99699485,0.0001261283,0.000527547,0.0010981283,0.0005903931,0.0006629432],"domain_scores_gemma":[0.9971072,0.0013421797,0.000102593855,0.0007761015,0.00025142526,0.00042047456],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002862562,0.00033898404,0.00045886388,0.00016332533,0.000592615,0.00004642915,0.00037365512,0.00007221759,0.00071355543],"category_scores_gemma":[0.009901116,0.00030111978,0.0001414831,0.00062549725,0.0002616602,0.00010081631,0.00019822527,0.00020183407,0.00005282308],"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":[0.000016860744,0.000055948487,0.0051034163,0.000040234685,0.000011829623,0.00031830568,0.00075676176,0.00074802944,0.99202543,0.000052768137,0.00043632078,0.00043411198],"study_design_scores_gemma":[0.0016597714,0.0008326704,0.04286058,0.00018751525,0.00021458013,0.0003100849,0.0016965717,0.0006780939,0.8931005,0.0005919527,0.05717404,0.00069363794],"about_ca_topic_score_codex":0.000015687163,"about_ca_topic_score_gemma":0.00003688099,"teacher_disagreement_score":0.098924905,"about_ca_system_score_codex":0.00012630841,"about_ca_system_score_gemma":0.00030120942,"threshold_uncertainty_score":0.9999441},"labels":[],"label_agreement":null},{"id":"W3199114996","doi":"10.1186/s13073-021-00961-4","title":"Correction to: Genome-wide sequencing as a first-tier screening test for short tandem repeat expansions","year":2021,"lang":"en","type":"erratum","venue":"Genome Medicine","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's & Women's Health Centre of British Columbia; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency; BC Children's Hospital","funders":"Genome British Columbia; Compute Canada; BC Children's Hospital; Children's Hospital Foundation","keywords":"Human genetics; Computational biology; Computer science; Test (biology); Tandem repeat; Whole genome sequencing; Genome; Genetics; Biology; Bioinformatics; Gene","score_opus":0.023217819637692688,"score_gpt":0.26609496821324385,"score_spread":0.24287714857555118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199114996","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16986845,0.3326203,0.09618982,0.016656231,0.21098188,0.012855054,0.001999715,0.00023726419,0.1585913],"genre_scores_gemma":[0.1973984,0.025155237,0.0064623756,0.008594548,0.035533454,0.0013292044,0.0139797395,0.00059139007,0.7109557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969992,0.00004609543,0.0006803822,0.0012324789,0.00034005468,0.0007017809],"domain_scores_gemma":[0.9978806,0.00017839212,0.00019558094,0.0009098912,0.00050836155,0.0003271819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004658955,0.00061895273,0.0008575799,0.00019151058,0.0005028235,0.000035737125,0.00040608368,0.0005102762,0.000104495],"category_scores_gemma":[0.0022511573,0.00058067596,0.00028397175,0.00027372877,0.00013537989,0.0000012794955,0.00041182555,0.00044605005,0.000011184084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058702764,0.000040599138,0.0014359175,0.00015026226,0.00048858946,0.000040329192,0.00078437896,0.0004671121,0.261306,0.0000017870506,0.7333781,0.0018482422],"study_design_scores_gemma":[0.00049747486,0.0014895129,0.005514459,0.00039384465,0.00030788447,0.00009048677,0.0011740833,0.000063020976,0.0016347237,0.000023877576,0.98814636,0.000664284],"about_ca_topic_score_codex":0.0001755258,"about_ca_topic_score_gemma":0.0007918941,"teacher_disagreement_score":0.55236435,"about_ca_system_score_codex":0.00017233432,"about_ca_system_score_gemma":0.0004888258,"threshold_uncertainty_score":0.9996645},"labels":[],"label_agreement":null},{"id":"W3207128141","doi":"10.1186/s13073-021-00970-3","title":"Integrative epigenomic and high-throughput functional enhancer profiling reveals determinants of enhancer heterogeneity in gastric cancer","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Cancer Science Institute of Singapore, National University of Singapore; National Research Foundation; Ministry of Education - Singapore; National Medical Research Council; National Research Foundation Singapore; Genome Institute of Singapore; Agency for Science, Technology and Research; Medical Research Council; Duke-NUS Medical School","keywords":"Enhancer; Epigenomics; Biology; Histone; Genetics; Computational biology; Single-nucleotide polymorphism; Chromatin immunoprecipitation; Chromatin; Functional genomics; Gene; Transcription factor; Gene expression; Genomics; Genome; DNA methylation; Promoter","score_opus":0.012813762696548953,"score_gpt":0.27365460948257264,"score_spread":0.2608408467860237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207128141","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":[0.9866583,0.010663387,0.0019870033,0.000093573035,0.0002459442,0.00017822697,0.00006738525,0.000003258708,0.00010295098],"genre_scores_gemma":[0.99321014,0.0043464093,0.0013962018,0.00011785319,0.0002884458,0.000046916237,0.00016039591,0.000020779704,0.00041287244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869823,0.000062811014,0.00042888048,0.00044024244,0.00012216304,0.00024765386],"domain_scores_gemma":[0.999319,0.000018992667,0.00017838257,0.00025747844,0.0001554757,0.000070671296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002210161,0.00018992722,0.00037218112,0.000065118445,0.00004360518,0.0000053069684,0.0001003204,0.000113204835,0.00010968768],"category_scores_gemma":[0.000071309245,0.00016199632,0.00004456083,0.00015715793,0.00011920734,0.0000042667934,0.0001323913,0.000107322536,0.0000017500868],"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":[0.000053921704,0.00003655473,0.029080464,0.00008214465,0.000048316077,0.00000821244,0.00018078649,0.00016743672,0.96812135,0.000022763705,0.000028138806,0.0021699201],"study_design_scores_gemma":[0.0015507517,0.00037893528,0.188405,0.00018253733,0.0000564203,0.00005038485,0.0005009291,0.00030351995,0.8075908,0.00032708733,0.00036610154,0.0002875509],"about_ca_topic_score_codex":0.00012304386,"about_ca_topic_score_gemma":0.0010426686,"teacher_disagreement_score":0.16053057,"about_ca_system_score_codex":0.00006553045,"about_ca_system_score_gemma":0.00017697766,"threshold_uncertainty_score":0.6606018},"labels":[],"label_agreement":null},{"id":"W3210167380","doi":"10.1186/s13073-021-00986-9","title":"A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Genomics; Université de Montréal; McGill University; Institut National de Santé Publique du Québec; Compute Canada; McGill Genome Centre","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Genome Canada; McGill University","keywords":"Transmission (telecommunications); Pandemic; Context (archaeology); Lineage (genetic); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Phylogenetic tree; Evolutionary biology; Phylogeography; Phylogenetics; Coronavirus disease 2019 (COVID-19); Genome; Biology; Geography; Founder effect; Genetics; Medicine; Infectious disease (medical specialty); Haplotype; Gene; Computer science; Genotype","score_opus":0.05046885515895317,"score_gpt":0.3266888692355523,"score_spread":0.27622001407659913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210167380","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":[0.9818735,0.0028292614,0.0002060817,0.010964283,0.00021162591,0.00030711782,0.000010511554,0.000016745616,0.0035808615],"genre_scores_gemma":[0.98931813,0.000044000153,0.00033105988,0.009545293,0.00033797318,0.000020251546,0.000015123866,0.000031720112,0.00035644858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99790776,0.00008124723,0.000664746,0.0003668967,0.00061956747,0.00035975754],"domain_scores_gemma":[0.99871033,0.00017600859,0.00011021792,0.00051902677,0.00041897545,0.00006543023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003823094,0.00018365828,0.00071134866,0.00021898675,0.000034326193,0.000002828627,0.00016565406,0.00009747608,0.00016562572],"category_scores_gemma":[0.0004596131,0.00015106196,0.00008062798,0.0009823465,0.00022192068,0.000034503082,0.00004741567,0.00035118742,0.000008582636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036085,0.00018312206,0.044743896,0.00041287052,0.00008851197,0.00019946153,0.0015098465,9.4505396e-7,0.94660336,0.000028802688,0.002278016,0.0035903263],"study_design_scores_gemma":[0.004046702,0.0003773127,0.047338475,0.00057399116,0.00013051738,0.00020634527,0.0008383414,0.000035415447,0.6663704,0.0000841797,0.27983046,0.00016789988],"about_ca_topic_score_codex":0.8405376,"about_ca_topic_score_gemma":0.66580814,"teacher_disagreement_score":0.280233,"about_ca_system_score_codex":0.0002989924,"about_ca_system_score_gemma":0.0037211964,"threshold_uncertainty_score":0.6601243},"labels":[],"label_agreement":null},{"id":"W3213394313","doi":"10.1186/s13073-021-00996-7","title":"Functional screen of inflammatory bowel disease genes reveals key epithelial functions","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"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 de Montréal; Montreal Heart Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Canada Research Chairs; National Institutes of Health; Université de Montréal; Genome Canada; McGill University; McGill University Health Centre; Canada Foundation for Innovation; Canadian Institutes of Health Research; Compute Canada; Institut de Cardiologie de Montréal; Broad Institute","keywords":"ORFS; Biology; Gene; Genetics; Transcriptome; Open reading frame; Gene expression; Computational biology","score_opus":0.010692428665209405,"score_gpt":0.22573437377221836,"score_spread":0.21504194510700897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213394313","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":[0.99004036,0.0046343515,0.0016253889,0.0006698935,0.00055924465,0.00021387373,0.00032048763,0.000024636816,0.0019117318],"genre_scores_gemma":[0.9851934,0.0003364906,0.00018281328,0.00072065357,0.0025089781,0.000045788107,0.0015946255,0.000041885236,0.009375386],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984989,0.00010909404,0.0004085272,0.00039878374,0.0003187755,0.00026593046],"domain_scores_gemma":[0.99855685,0.00001614775,0.00013596301,0.00057807995,0.00036899935,0.0003439792],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025906018,0.00019622895,0.00020041112,0.00007774594,0.00010785128,0.000006047813,0.00014865493,0.00009819423,0.0010508714],"category_scores_gemma":[0.00029669443,0.00018290158,0.00013713143,0.00010556627,0.00025860406,0.0000059988492,0.0001365263,0.00007590184,0.000066869594],"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":[0.00054865924,0.00007747805,0.036123276,0.00014134859,0.00017426339,0.00025853384,0.00006635245,0.00042895795,0.95281994,0.0003001041,0.008525529,0.00053556974],"study_design_scores_gemma":[0.001542126,0.00010035013,0.9235811,0.00005246476,0.00017504366,0.000026112632,0.00022907145,0.000017903178,0.006555039,0.00028108325,0.06716884,0.00027082258],"about_ca_topic_score_codex":0.000004238013,"about_ca_topic_score_gemma":0.00002302367,"teacher_disagreement_score":0.94626486,"about_ca_system_score_codex":0.00002170391,"about_ca_system_score_gemma":0.00045944977,"threshold_uncertainty_score":0.9998623},"labels":[],"label_agreement":null},{"id":"W3215814807","doi":"10.1186/s13073-021-00998-5","title":"A functionally impaired missense variant identified in French Canadian families implicates FANCI as a candidate ovarian cancer-predisposing gene","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; University of Toronto; University Health Network; Jewish General Hospital; McGill Genome Centre; Université de Montréal; Université Laval; Centre Hospitalier de l’Université de Montréal; McGill University; McGill University Health Centre","funders":"National Human Genome Research Institute; National Cancer Institute; Cancer Research UK; National Institutes of Health; Université de Montréal; Canadian Institutes of Health Research; European Commission","keywords":"Ovarian cancer; Cancer; Missense mutation; Genetics; Population; Gene; PALB2; Exome sequencing; Candidate gene; Biology; CHEK2; Medicine; Internal medicine; Oncology; Mutation; Germline mutation","score_opus":0.01092014742555423,"score_gpt":0.26412371580016675,"score_spread":0.2532035683746125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215814807","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":[0.9753418,0.013432467,0.0007506297,0.0070362696,0.0009136151,0.0003125271,0.00026421386,0.000020315087,0.0019281439],"genre_scores_gemma":[0.99218416,0.0010260022,0.0005895788,0.0021137802,0.0008473869,0.00014003665,0.0013037949,0.000040217485,0.0017550382],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99814385,0.0000787936,0.00040828472,0.00064589846,0.00021851012,0.0005046592],"domain_scores_gemma":[0.9987645,0.000020247513,0.00009356555,0.0005517941,0.00027273866,0.00029714822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875425,0.00023767586,0.00028008453,0.00021733873,0.00016153794,0.00003170531,0.00021759945,0.00017234003,0.00058380346],"category_scores_gemma":[0.00020007759,0.00023793623,0.00006118944,0.00049998105,0.00013330877,0.000006737805,0.00008649637,0.00015206324,0.000018867608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053610373,0.00002934922,0.0028771618,0.000034272398,0.00017932082,0.00055561395,0.0010349379,0.0006660381,0.9880205,0.000047628513,0.0035017075,0.0029998943],"study_design_scores_gemma":[0.00671819,0.0005438965,0.56674105,0.00027716265,0.00035241307,0.0029303778,0.0031021193,0.0004613141,0.18036708,0.00161336,0.23541868,0.0014743216],"about_ca_topic_score_codex":0.20315348,"about_ca_topic_score_gemma":0.46310192,"teacher_disagreement_score":0.80765337,"about_ca_system_score_codex":0.0004339726,"about_ca_system_score_gemma":0.0028329755,"threshold_uncertainty_score":0.97027576},"labels":[],"label_agreement":null},{"id":"W4225886114","doi":"10.1186/s13073-021-01000-y","title":"Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"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 British Columbia","funders":"Genome Institute of Singapore","keywords":"Computational biology; In silico; Transcriptome; clone (Java method); Precision medicine; Repurposing; Drug repositioning; Precision oncology; Genetic heterogeneity; Tumor heterogeneity; Computer science; Bioinformatics; Biology; Gene; Cancer; Drug; Gene expression; Genetics; Phenotype; Pharmacology","score_opus":0.031030382513699616,"score_gpt":0.257925320735246,"score_spread":0.22689493822154638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225886114","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":[0.93442214,0.06261979,0.0014898076,0.0002555568,0.0004891213,0.00016126725,0.000033768272,0.000011613399,0.0005169228],"genre_scores_gemma":[0.9957845,0.0018860293,0.00040597795,0.0007621243,0.0008415884,0.000010920819,0.00015688837,0.000038200487,0.00011376695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985498,0.00009340947,0.00036562848,0.0004824187,0.00015718825,0.0003515599],"domain_scores_gemma":[0.9992821,0.00005190929,0.000074809046,0.00040221654,0.00009284243,0.00009609597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024595734,0.00021112623,0.00028119455,0.00007368021,0.000069726775,0.000021243959,0.00016081166,0.00015541425,0.00007875466],"category_scores_gemma":[0.000061931096,0.00020432088,0.000083080704,0.00016270936,0.00014396352,0.000003703848,0.0000662078,0.00018420671,0.0000020236203],"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":[0.00006161512,0.00009717743,0.0065905997,0.00004465021,0.000026321984,0.000026562007,0.00046421724,0.0020536205,0.98992217,0.000027157412,0.000054155884,0.00063178374],"study_design_scores_gemma":[0.004396299,0.0009286798,0.016132772,0.00012286293,0.00010258909,0.00009763251,0.0019688457,0.0006867967,0.8988181,0.00042144125,0.07558762,0.0007364058],"about_ca_topic_score_codex":0.00007919363,"about_ca_topic_score_gemma":0.00034460914,"teacher_disagreement_score":0.09110409,"about_ca_system_score_codex":0.000088039546,"about_ca_system_score_gemma":0.00012263362,"threshold_uncertainty_score":0.83319634},"labels":[],"label_agreement":null},{"id":"W4226064126","doi":"10.1186/s13073-022-01040-y","title":"Inter-species geographic signatures for tracing horizontal gene transfer and long-term persistence of carbapenem resistance","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"inVentiv Health Clinical","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Broad Institute","keywords":"Horizontal gene transfer; Plasmid; Genome; Biology; Genetics; Gene; Bacterial genome size; Bacterial conjugation; Computational biology","score_opus":0.013464503101537604,"score_gpt":0.2294633837631522,"score_spread":0.2159988806616146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226064126","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":[0.97949547,0.015303147,0.0040562544,0.00025029745,0.00020629553,0.0003342627,0.00012073199,0.000007929633,0.00022562627],"genre_scores_gemma":[0.99751806,0.0006665518,0.00033344224,0.00010190876,0.00022815625,0.000028085666,0.0002137006,0.000024113491,0.00088597],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99884796,0.000049196788,0.00029025393,0.00039363967,0.00018179038,0.00023717256],"domain_scores_gemma":[0.9994762,0.000027205262,0.0000742066,0.00028522158,0.00007176031,0.0000654243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026459625,0.00016844622,0.00028300885,0.000081136655,0.00016156171,0.000007214694,0.00025131294,0.000066519984,0.0000820819],"category_scores_gemma":[0.000035016565,0.00015383298,0.00009425763,0.00010556431,0.00035246875,0.0000039380056,0.00008294946,0.00010884401,1.03394434e-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":[0.0004643063,0.000029212033,0.01450124,0.00016797459,0.00008441778,0.000009008443,0.0004010324,0.000007380992,0.98386765,0.00007544243,0.00008726111,0.00030506993],"study_design_scores_gemma":[0.004686939,0.0048698355,0.76183546,0.00023977121,0.0003658717,0.00011162744,0.0041109943,0.000014143489,0.20018029,0.00011762227,0.022556577,0.00091085944],"about_ca_topic_score_codex":0.0000064322203,"about_ca_topic_score_gemma":0.0000989698,"teacher_disagreement_score":0.78368735,"about_ca_system_score_codex":0.000022149412,"about_ca_system_score_gemma":0.000032979333,"threshold_uncertainty_score":0.62731266},"labels":[],"label_agreement":null},{"id":"W4253057787","doi":"10.1186/preaccept-8096551512514564","title":"A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Computational Drug Discovery Methods","field":"Computer Science","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":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Drug; Drug discovery; Computational biology; Pancreatic cancer; Classifier (UML); Cancer drugs; Cancer; Breast cancer; Bioinformatics; Computer science; Medicine; Biology; Pharmacology; Artificial intelligence; Internal medicine","score_opus":0.05145719280003041,"score_gpt":0.3256831550931374,"score_spread":0.274225962293107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253057787","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02174352,0.0024434405,0.9734223,0.00097467314,0.00045486176,0.0007698019,0.000002500843,0.00011691459,0.00007197058],"genre_scores_gemma":[0.3417464,0.000012940496,0.65704674,0.0005273707,0.000422054,0.000059570073,0.0000075999437,0.00002753268,0.00014981935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99699825,0.0006836071,0.00055239303,0.00069865887,0.00067463494,0.00039243596],"domain_scores_gemma":[0.9982428,0.00069047156,0.00025698732,0.00041485755,0.00014443652,0.0002504688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035514357,0.0002814022,0.0006127905,0.00031698812,0.00025397187,0.00012166419,0.00059210486,0.000046999154,0.000008945013],"category_scores_gemma":[0.000582376,0.00022792548,0.00004213812,0.00063877966,0.000083695275,0.0003281003,0.00049517467,0.00024023089,0.000007810538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025311778,0.00008297124,0.00025005653,0.0031119431,0.00013931243,0.0000071270847,0.008648836,0.95205104,0.026285306,0.006253484,0.00014206773,0.0030025272],"study_design_scores_gemma":[0.0008153339,0.00009310557,0.0023547318,0.0011604137,0.00006124724,0.000050410643,0.000083028346,0.99386066,0.00023293351,0.0007145313,0.00029642796,0.00027715735],"about_ca_topic_score_codex":0.0007132998,"about_ca_topic_score_gemma":0.0000061750725,"teacher_disagreement_score":0.32000288,"about_ca_system_score_codex":0.00011414834,"about_ca_system_score_gemma":0.000069058864,"threshold_uncertainty_score":0.92945313},"labels":[],"label_agreement":null},{"id":"W4280499817","doi":"10.1186/s13073-022-01052-8","title":"Breast cancer risks associated with missense variants in breast cancer susceptibility genes","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Horizon 2020; European Commission; Cancer Research UK; Wellcome Trust; Wellcome","keywords":"Breast cancer; Missense mutation; Human genetics; Cancer; Medicine; Gene; Oncology; Bioinformatics; Genetics; Internal medicine; Biology; Mutation","score_opus":0.019761765711752387,"score_gpt":0.2936565059812981,"score_spread":0.27389474026954574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280499817","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":[0.9870412,0.0052289846,0.000050908417,0.005279253,0.0003991125,0.00034311862,0.0014167543,0.000020829673,0.0002198934],"genre_scores_gemma":[0.9964165,0.0007028593,0.000043968466,0.00086767395,0.0005480484,0.00034279772,0.00034674114,0.000046431953,0.00068497716],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810976,0.00019371913,0.00031492338,0.00061796827,0.00035405287,0.0004095857],"domain_scores_gemma":[0.9990401,0.00002018343,0.00016650467,0.00047023207,0.00018718214,0.00011578313],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052758004,0.00023179055,0.00029454744,0.00010513719,0.000187457,0.00000790473,0.0002797041,0.000091800764,0.0027622557],"category_scores_gemma":[0.000023736335,0.00019990503,0.00004227452,0.0005127347,0.00020823015,0.000004494662,0.00017035037,0.0002412284,0.0000025624263],"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":[0.0011698445,0.00039487632,0.36792466,0.000054803175,0.0005252634,0.00012343336,0.0012040322,0.0184104,0.58966714,0.000010947491,0.0057709897,0.014743606],"study_design_scores_gemma":[0.0027345093,0.00023927416,0.989172,0.000047062833,0.00009951025,0.00034400224,0.0007880729,0.00015765212,0.0009720928,0.000024432042,0.0050553284,0.0003660621],"about_ca_topic_score_codex":0.0047296863,"about_ca_topic_score_gemma":0.005451171,"teacher_disagreement_score":0.62124735,"about_ca_system_score_codex":0.00065659604,"about_ca_system_score_gemma":0.0006058197,"threshold_uncertainty_score":0.99814934},"labels":[],"label_agreement":null},{"id":"W4281291801","doi":"10.1186/s13073-022-01053-7","title":"Gut microbiota predicts body fat change following a low-energy diet: a PREVIEW intervention study","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"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":"Health Research Council of New Zealand; Terveyden ja hyvinvoinnin laitos; Otto A. Malm Lahjoitusrahasto; Steno Diabetes Center Copenhagen; Seventh Framework Programme; McGill University; Helsingin Yliopisto","keywords":"Clinical nutrition; Gut flora; Intervention (counseling); Medicine; Physiology; Gerontology; Bioinformatics; Biology; Internal medicine; Immunology; Nursing","score_opus":0.02078764182333323,"score_gpt":0.28813605205474413,"score_spread":0.26734841023141087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281291801","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":[0.95742124,0.03891941,0.00021330368,0.00093710615,0.0009721567,0.0011358617,0.000053102223,0.00003275221,0.00031506675],"genre_scores_gemma":[0.9937937,0.0009211085,0.000024498924,0.0016241045,0.0008404649,0.0003412584,0.0008036775,0.00003964999,0.0016115116],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818844,0.00025544077,0.0004379898,0.00052991376,0.00019917182,0.00038905995],"domain_scores_gemma":[0.9991678,0.0000066227167,0.00016149228,0.0004942952,0.000039985105,0.00012981478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057638704,0.00022943775,0.0003686834,0.00010971452,0.00026913814,0.000009866098,0.00034021112,0.00006322538,0.00036892082],"category_scores_gemma":[0.00003013038,0.00020557315,0.00017054736,0.00022560902,0.000043609805,0.0000045175802,0.00048774597,0.00016539489,0.000010087267],"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":[0.00016577244,0.00062207144,0.0015336111,0.00021894128,0.00020478734,0.000046810706,0.0012390562,0.0000022406457,0.98839116,0.000012911301,0.004093288,0.0034693684],"study_design_scores_gemma":[0.008271229,0.01861685,0.07660142,0.00041650492,0.00045071729,0.000115043076,0.0030934217,0.000020597874,0.0009981224,0.000029134555,0.89063686,0.00075010007],"about_ca_topic_score_codex":0.0002776915,"about_ca_topic_score_gemma":0.000121508136,"teacher_disagreement_score":0.987393,"about_ca_system_score_codex":0.00007765896,"about_ca_system_score_gemma":0.000038914044,"threshold_uncertainty_score":0.8383029},"labels":[],"label_agreement":null},{"id":"W4282546381","doi":"10.1186/s13073-022-01064-4","title":"Gain and loss of TASK3 channel function and its regulation by novel variation cause KCNK9 imprinting syndrome","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital","funders":"Center for Individualized Medicine, Mayo Clinic; Deutsche Forschungsgemeinschaft","keywords":"Loss function; Phenotype; Imprinting (psychology); Biology; Genetics; Genomic imprinting; Intellectual disability; Bioinformatics; Neuroscience; Gene; Computational biology; DNA methylation; Gene expression","score_opus":0.010608952852647662,"score_gpt":0.2157817611501218,"score_spread":0.20517280829747414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282546381","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":[0.9889483,0.0024126903,0.0078654755,0.00035200332,0.00015041664,0.00018794337,0.000020900641,0.000006602698,0.000055696037],"genre_scores_gemma":[0.9990542,0.00014462891,0.00010632487,0.000101893595,0.00008880926,0.000017986466,0.0001634551,0.000016010441,0.0003067264],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99912155,0.000036690475,0.0002448041,0.00028632834,0.0001538779,0.00015676882],"domain_scores_gemma":[0.99957055,0.000010792676,0.00016348924,0.00014677714,0.000051057366,0.000057343244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043729364,0.000109720815,0.0001579238,0.00006594925,0.0001275277,0.0000052002742,0.000061043225,0.000053284093,0.000054946362],"category_scores_gemma":[0.00006137099,0.00010935049,0.000017510762,0.00010627245,0.000042232117,0.000004142054,0.00019048578,0.000070802926,4.5116815e-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":[0.00001298182,0.000022615819,0.0012665498,0.000048877842,0.000042923955,6.407982e-7,0.00022070015,0.00020207277,0.99747276,0.00005443392,0.000036861707,0.0006186076],"study_design_scores_gemma":[0.004692869,0.0033672948,0.9582456,0.000058894126,0.00023053741,0.0011921993,0.0013172226,0.006389108,0.017123643,0.0004240014,0.006416724,0.0005419014],"about_ca_topic_score_codex":0.000039841896,"about_ca_topic_score_gemma":0.0000013111259,"teacher_disagreement_score":0.98034906,"about_ca_system_score_codex":0.000013426194,"about_ca_system_score_gemma":0.00001567196,"threshold_uncertainty_score":0.44591835},"labels":[],"label_agreement":null},{"id":"W4282933005","doi":"10.1186/s13073-022-01063-5","title":"Antiprogestins reduce epigenetic field cancerization in breast tissue of young healthy women","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"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":"Medical Research Council; Canadian Institutes of Health Research; H2020 European Research Council; Cancerfonden; Radiumhemmets Forskningsfonder; Vetenskapsrådet; University College London; National Institute for Health and Care Research; European Commission; University College London Hospitals NHS Foundation Trust; Karolinska Institutet; Manchester Biomedical Research Centre; Horizon 2020 Framework Programme; Genome British Columbia","keywords":"Breast cancer; Medicine; Population; Oncology; Internal medicine; Cancer; DNA methylation; Cancer research; Biology","score_opus":0.005382624092876045,"score_gpt":0.25412536948567604,"score_spread":0.2487427453928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282933005","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":[0.993025,0.0047264853,0.00012977881,0.0010579014,0.0002201112,0.0002280716,0.000015278152,0.0000062162107,0.00059117156],"genre_scores_gemma":[0.9984563,0.0005732577,0.000038957074,0.00029338314,0.0001676017,0.00006301476,0.00013209016,0.000014544131,0.0002608441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990862,0.00008258717,0.0002581526,0.00021332067,0.00013759235,0.00022213178],"domain_scores_gemma":[0.99960256,0.000009276319,0.00009543236,0.00019403968,0.000026342168,0.00007232688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027724472,0.000092100476,0.0001717316,0.00007867951,0.00006203436,0.0000013333382,0.0001306833,0.00006148099,0.00015542998],"category_scores_gemma":[0.00003183451,0.000086265514,0.000016285496,0.00024665834,0.000049880226,0.0000012149727,0.00008196922,0.0001359255,0.0000014216555],"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":[0.00021088355,0.00005933888,0.015201564,0.00004621911,0.000018056455,0.000013531296,0.00060169754,0.000428885,0.9785432,0.000014320464,0.00019827079,0.0046639843],"study_design_scores_gemma":[0.013135349,0.032208864,0.2749564,0.00018888211,0.00013346563,0.0014800479,0.005652877,0.0004633129,0.5927471,0.00023932786,0.07732439,0.0014699795],"about_ca_topic_score_codex":0.00021926255,"about_ca_topic_score_gemma":0.000009992729,"teacher_disagreement_score":0.38579616,"about_ca_system_score_codex":0.00005506585,"about_ca_system_score_gemma":0.00008976582,"threshold_uncertainty_score":0.35178056},"labels":[],"label_agreement":null},{"id":"W4285728547","doi":"10.1186/s13073-022-01077-z","title":"Adipose methylome integrative-omic analyses reveal genetic and dietary metabolic health drivers and insulin resistance classifiers","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Vetenskapsrådet; Agence Nationale de la Recherche; National Institute for Health and Care Research; Biotechnology and Biological Sciences Research Council; Joint Programming Initiative A healthy diet for a healthy life; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Epigenetics; DNA methylation; Insulin resistance; Biology; Epigenome; Adipose tissue; Body mass index; Methylation; Metabolic syndrome; Bioinformatics; Metabolomics; Genetics; Phenotype; Endocrinology; Internal medicine; Medicine; Obesity; Gene; Gene expression","score_opus":0.032242434399842014,"score_gpt":0.3161876950520858,"score_spread":0.2839452606522438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285728547","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":[0.73772323,0.25869694,0.0007592854,0.0021107898,0.00011872878,0.00022979484,0.000049021615,0.000009007361,0.00030319882],"genre_scores_gemma":[0.9674087,0.028001694,0.0023374422,0.0008798302,0.00020121418,0.000034107044,0.00022596371,0.000024556992,0.000886487],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983404,0.00031632316,0.00036433394,0.0004966663,0.00021709093,0.00026515228],"domain_scores_gemma":[0.9992358,0.00003284121,0.00018340728,0.00029391312,0.000050863568,0.00020319544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005683917,0.00020538535,0.00037668162,0.00015638617,0.0002988147,0.000010225701,0.0001414968,0.000056468332,0.00004322518],"category_scores_gemma":[0.00009120501,0.00017561717,0.000044747758,0.00023409739,0.00026146823,0.0000037999316,0.00018453764,0.00018717404,7.814407e-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":[0.00018180216,0.00003915203,0.0031872455,0.00005907774,0.00023016047,0.000011250945,0.0017309485,0.00016521211,0.9626642,0.000075844495,0.00083633495,0.030818766],"study_design_scores_gemma":[0.0039525162,0.0032508543,0.51817137,0.000049574704,0.00037485466,0.00003201537,0.0045077046,0.00020990675,0.018100005,0.0017301973,0.44880453,0.0008164778],"about_ca_topic_score_codex":0.00012996739,"about_ca_topic_score_gemma":0.000115571675,"teacher_disagreement_score":0.9445642,"about_ca_system_score_codex":0.0000398623,"about_ca_system_score_gemma":0.00010729973,"threshold_uncertainty_score":0.71614605},"labels":[],"label_agreement":null},{"id":"W4290986010","doi":"10.1186/s13073-022-01085-z","title":"REViewer: haplotype-resolved visualization of read alignments in and around tandem repeats","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Human Genome Research Institute","keywords":"Tandem repeat; Haplotype; Visualization; Genome; Computational biology; Reference genome; Computer science; Genetics; Concordance; Biology; Genotype; Artificial intelligence","score_opus":0.04608918944738547,"score_gpt":0.30777910219596005,"score_spread":0.26168991274857456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290986010","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":[0.995091,0.0029387078,0.00015807696,0.0003402698,0.00032244303,0.00043827854,0.00001699382,0.000019211415,0.00067502045],"genre_scores_gemma":[0.99714744,0.0010048585,0.000017950446,0.0011961275,0.00007912877,0.000050352715,0.000016967255,0.000017432803,0.00046975515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825406,0.0003621768,0.00036682485,0.000390299,0.00046020304,0.00016644532],"domain_scores_gemma":[0.99936396,0.00009219683,0.00015473516,0.00025999808,0.000055828707,0.00007326421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036175418,0.00011530778,0.00025797964,0.00014880415,0.00009871921,0.0000044316316,0.0001591754,0.00001399568,0.0003498363],"category_scores_gemma":[0.001267396,0.00010407873,0.000019256537,0.00044713062,0.00014051462,0.00003488397,0.00015238313,0.00007023461,0.0000032260004],"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":[0.000033936427,0.000121571196,0.01534001,0.00006465658,0.0000039514175,0.000030410518,0.001000635,0.00021513645,0.9806908,0.00037472177,0.00046024992,0.0016639224],"study_design_scores_gemma":[0.010569125,0.0052206116,0.37130824,0.00048980163,0.00022505634,0.00010599883,0.0029042566,0.0020744677,0.47905135,0.004060063,0.122743204,0.0012478309],"about_ca_topic_score_codex":0.000024087387,"about_ca_topic_score_gemma":0.000004697139,"teacher_disagreement_score":0.5016395,"about_ca_system_score_codex":0.00004855287,"about_ca_system_score_gemma":0.000031693602,"threshold_uncertainty_score":0.42442074},"labels":[],"label_agreement":null},{"id":"W4291020646","doi":"10.1186/s13073-022-01094-y","title":"Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"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":"Medical Research Council; National Institutes of Health; Rare Disease Foundation; University of Michigan; Helene Morgan Babcock and Alfred Babcock Memorial Scholarship Trust; Penn Skin Biology and Diseases Resource-based Center, University of Pennsylvania; A. Alfred Taubman Medical Research Institute; Dermatology Foundation; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Foundation for the National Institutes of Health","keywords":"Biobank; Phenome; Population; Medicine; Disease; Rare disease; Bioinformatics; Genetics; Biology; Phenotype; Pathology; Environmental health","score_opus":0.009828966978785015,"score_gpt":0.22855356305741206,"score_spread":0.21872459607862704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291020646","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":[0.9870852,0.007563547,0.0014341756,0.0024906443,0.00028556955,0.0006347379,0.00017535432,0.0000068451363,0.00032390916],"genre_scores_gemma":[0.9941976,0.00022289422,0.00008649181,0.0030340557,0.0005095654,0.0003720901,0.00092182396,0.00001776274,0.0006376866],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99890846,0.0000898468,0.0002347209,0.00029510367,0.00020073114,0.00027113588],"domain_scores_gemma":[0.99940914,0.000049237136,0.0001191969,0.00029464974,0.00004960652,0.00007819578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018803,0.0001238522,0.00014406683,0.00006825103,0.00020723547,0.000010412549,0.00029819773,0.000032660664,0.00014306481],"category_scores_gemma":[0.00024196794,0.00009713894,0.0000774979,0.0001550837,0.000030406032,0.000001174043,0.000104443054,0.000076469725,0.0000028897086],"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":[0.001180223,0.0006364161,0.16628367,0.0003599207,0.00036804445,0.00014409573,0.0064531644,0.006396753,0.77257645,0.00027368122,0.03716174,0.008165835],"study_design_scores_gemma":[0.0036327878,0.0007695128,0.586372,0.000022312484,0.00013269765,0.000009374942,0.0046834913,0.00015300271,0.0006430757,0.0012382487,0.40184885,0.000494611],"about_ca_topic_score_codex":0.000018825167,"about_ca_topic_score_gemma":0.000019083824,"teacher_disagreement_score":0.7719334,"about_ca_system_score_codex":0.0000818974,"about_ca_system_score_gemma":0.000091971524,"threshold_uncertainty_score":0.39612108},"labels":[],"label_agreement":null},{"id":"W4304975999","doi":"10.1186/s13073-022-01118-7","title":"Mendelian gene identification through mouse embryo viability screening","year":2022,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; SickKids Foundation; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"Medical Research Council; Cancer Research UK; National Institutes of Health; National Institute for Health and Care Research; Department of Health and Social Care; Wellcome Trust","keywords":"Gene; Biology; Phenotype; Genetics; Loss function; Disease; Lethal allele; Human genetics; Genome; Mendelian inheritance; OMIM : Online Mendelian Inheritance in Man; Computational biology; Medicine; Pathology","score_opus":0.01646012864950215,"score_gpt":0.25781279809110774,"score_spread":0.2413526694416056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304975999","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":[0.98909473,0.003477114,0.005228287,0.0009041563,0.00025201595,0.00027058038,0.00020648258,0.000022362658,0.0005442698],"genre_scores_gemma":[0.99435544,0.00016337466,0.00053606974,0.0009181224,0.00042620391,0.00004622293,0.0017909363,0.000024931327,0.0017386917],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987845,0.000082785475,0.000285041,0.00041191292,0.00021784137,0.00021795629],"domain_scores_gemma":[0.9992202,0.000006169956,0.000107055304,0.0005118092,0.00006566036,0.000089106405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039183587,0.00013101246,0.0001474058,0.000042105552,0.0003036955,0.000009265473,0.0002702049,0.00003826155,0.0004598298],"category_scores_gemma":[0.000056657773,0.00012232648,0.00006724297,0.0001265243,0.00009010401,0.0000027330968,0.00024067736,0.00008881059,0.00001189229],"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":[0.00005817441,0.00006248914,0.000543625,0.000013881784,0.000040710092,0.000007426348,0.00023522906,0.0007846787,0.9955245,0.00003578259,0.0017500423,0.0009434339],"study_design_scores_gemma":[0.0032920854,0.0014377782,0.03691703,0.000008462006,0.00020605823,0.00017508949,0.0055520483,0.0004205573,0.17096616,0.0012126666,0.77884424,0.00096779654],"about_ca_topic_score_codex":0.00007904892,"about_ca_topic_score_gemma":0.000007279306,"teacher_disagreement_score":0.8245584,"about_ca_system_score_codex":0.00003248889,"about_ca_system_score_gemma":0.00005117386,"threshold_uncertainty_score":0.5034814},"labels":[],"label_agreement":null},{"id":"W4318067851","doi":"10.1186/s13073-022-01152-5","title":"Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry","year":2023,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"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; Centre hospitalier universitaire de Québec; University of British Columbia; Queen's University; Canadian Centre for Applied Research in Cancer Control; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Servicio Gallego de Salud; Instituto de Salud Carlos III; European Research Council; World Cancer Research Fund; Medical Research Council; Center for Agroforestry, University of Missouri; Manchester Biomedical Research Centre; Division of Cancer Prevention, National Cancer Institute; National Institutes of Health; Hellenic Health Foundation; National University Health System; Dr. Ralph and Marian Falk Medical Research Trust; Xunta de Galicia; Mutuelle Générale de l'Education Nationale; Institut Gustave-Roussy; National Institute for Health and Care Research; University of Queensland; Centers for Disease Control and Prevention; Memorial Sloan-Kettering Cancer Center; Centre International de Recherche sur le Cancer; Kreftforeningen; Institut National Du Cancer; National Health and Medical Research Council; Ministry of Education, Science and Technology; Academia Sinica; Deutsche Krebshilfe; Cancer Institute NSW; Medizinischen Hochschule Hannover; Instituto Mexicano del Seguro Social; KWF Kankerbestrijding; Karolinska Institutet; Associazione Italiana per la Ricerca sul Cancro; Yayasan Sime Darby; Ministry of Public Health; Syöpäsäätiö; Vetenskapsrådet; National Medical Research Council; Norges Forskningsråd; Stockholms Läns Landsting; University of Westminster; Ligue Contre le Cancer; California Department of Public Health; National Research Foundation of Korea; Korea Health Industry Development Institute; Japan Agency for Medical Research and Development; Deutsche Gesetzliche Unfallversicherung; Gentofte Hospital; University of Southern California; Alexander von Humboldt-Stiftung; Cancerfonden; American Cancer Society; Russian Foundation for Basic Research; Kuopion Yliopistollinen Sairaala; University of Canberra; University of Crete; Institut National de la Santé et de la Recherche Médicale; Wellcome Trust; Agence Nationale de la Recherche; Australian National University; Canadian Institutes of Health Research; European Commission; University College London; Engineering and Physical Sciences Research Council; Stavros Niarchos Foundation; Fondation de France; National Research Foundation; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Breast Cancer Campaign; NSW Health Pathology; Freistaat Sachsen; National Center for Chronic Disease Prevention and Health Promotion; University of Technology Sydney; Western Sydney Local Health District; National Cancer Institute; European Regional Development Fund; Ministerio de Sanidad, Servicios Sociales e Igualdad; University of Cambridge; Government of Canada; National Breast Cancer Foundation; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; National Institute of Environmental Health Sciences; Swedish Cancer Foundation; University of California; Institute of Biomedical Sciences, Academia Sinica; David F. and Margaret T. Grohne Family Foundation; Lon V. Smith Foundation; Itä-Suomen Yliopisto; Genome Canada; Consejo Nacional de Ciencia y Tecnología; Sundhed og Sygdom, Det Frie Forskningsråd; Hunter Medical Research Institute; Deutsches Krebsforschungszentrum; Avon Foundation for Women; Oak Foundation; Breast Cancer Research Trust; Fondation du cancer du sein du Québec; Programme Grants for Applied Research; Robert Bosch Stiftung; Fogarty International Center; National University of Singapore; Cancer Research UK; World Health Organization; National Research Foundation Singapore; Breast Cancer Research Foundation; University of Sydney; University of California, San Francisco; U.S. Department of Health and Human Services; Ministerio de Economía y Competitividad; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Ovarian Cancer Research Fund; Taiwan Biobank; Instituto de Seguriidad y Servicios Sociales de los Trabadores del Estado; Fonds Wetenschappelijk Onderzoek","keywords":"Human genetics; Breast cancer; Computational biology; Genome Biology; Gene; Medicine; Biology; Cancer; Bioinformatics; Genetics; Oncology; Evolutionary biology; Genomics; Genome","score_opus":0.1005274028005872,"score_gpt":0.39104083634602627,"score_spread":0.29051343354543907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318067851","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":[0.003396442,0.9931631,0.00055210333,0.00078118657,0.00029814887,0.0008397104,0.00080594,0.000034598033,0.00012878126],"genre_scores_gemma":[0.0012438277,0.98924965,0.00066602905,0.000096884396,0.0012511782,0.00018343053,0.004741476,0.000074453004,0.0024930688],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980295,0.00015656363,0.0006108588,0.0005737044,0.00023085604,0.00039852926],"domain_scores_gemma":[0.9985923,0.000052587835,0.00065255,0.0004066322,0.00014767564,0.00014823324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003622598,0.00036073488,0.0010009967,0.00023628157,0.00012498285,0.000012592403,0.00024379525,0.0003873369,0.00006510675],"category_scores_gemma":[0.00015088804,0.00025405397,0.00009701559,0.0007812676,0.000100833095,0.0000059567897,0.00008070498,0.00025577273,0.000029234092],"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":[0.00007804141,0.00022773552,0.23050691,0.0032838348,0.0025120315,0.00011171663,0.00054018246,0.0045046713,0.00038685196,0.000097760094,0.012101082,0.74564916],"study_design_scores_gemma":[0.001897779,0.00043447816,0.7090764,0.004743446,0.0019370345,0.0001650837,0.0001846589,0.000015962143,0.0000014983325,0.00014587842,0.28043693,0.0009608809],"about_ca_topic_score_codex":0.0013727207,"about_ca_topic_score_gemma":0.0060899183,"teacher_disagreement_score":0.74468833,"about_ca_system_score_codex":0.00020380208,"about_ca_system_score_gemma":0.00067037815,"threshold_uncertainty_score":0.9999912},"labels":[],"label_agreement":null},{"id":"W4362611986","doi":"10.1186/s13073-023-01173-8","title":"Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":77,"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 Center for Advancing Translational Sciences; National Institutes of Health; National Human Genome Research Institute; Mohammed Bin Rashid University of Medicine and Health Sciences; Universiteit Gent; Shahid Beheshti University of Medical Sciences; Necmettin Erbakan Üniversitesi; Universidad de La Sabana; Institute of Genetics; Agence Nationale de la Recherche; Assistance publique-Hôpitaux de Paris; Queen Mary University of London; Sveučilište Josipa Jurja Strossmayera u Osijeku; Mansoura University; Universidad de Córdoba; Tokyo Medical and Dental University; Universitat Autònoma de Barcelona; Hospices Civils de Lyon; Universidade de São Paulo; Università degli Studi di Pavia; Marmara Üniversitesi; Universidad de Antioquia; Université Libanaise; Sahlgrenska Akademin; Gazi Üniversitesi; Fondazione IRCCS Policlinico San Matteo; Universidad Complutense de Madrid; Institut National de la Santé et de la Recherche Médicale; Assistance Publique - Hôpitaux de Paris; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Center for Research Resources; National and Kapodistrian University of Athens; Karolinska Institutet; Univerzita Karlova v Praze; Karadeniz Teknik Üniversitesi; Istanbul Üniversitesi-Cerrahpasa; Northwell Health; Sorbonne Université; Fundació Institut de Recerca Hospital Universitari Vall d’Hebron; Instituto Tecnológico y de Energías Renovables; Instituto de Salud Carlos III; Universitat de Barcelona; Göteborgs Universitet; Barcelona Institute of Science and Technology; Universitair Ziekenhuis Gent; Howard Hughes Medical Institute; Novo Nordisk Fonden; Sveučilište u Zagrebu; National Institute of Allergy and Infectious Diseases","keywords":"Coronavirus disease 2019 (COVID-19); Gene; Human genetics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Loss function; Immunity; Biology; Medicine; Genetics; Computational biology; Bioinformatics; Virology; Immune system; Phenotype; Internal medicine; Infectious disease (medical specialty); Disease","score_opus":0.11184163624184344,"score_gpt":0.3974789806407518,"score_spread":0.28563734439890837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362611986","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":[0.9853613,0.001935997,0.000855665,0.009786714,0.00029392904,0.000966796,0.00015458929,0.00032355255,0.000321452],"genre_scores_gemma":[0.9950326,0.001827585,0.00004261751,0.0010409463,0.0002829405,0.00003105316,0.0004949198,0.000043317483,0.0012040403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969206,0.0002506764,0.00079846923,0.0004141494,0.001124771,0.00049134175],"domain_scores_gemma":[0.9930027,0.0041074622,0.00050118257,0.00064205925,0.0011508093,0.000595761],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019571714,0.00025890322,0.0011341634,0.00050357735,0.00017604005,0.000003960113,0.00023585712,0.00017752686,0.00061508676],"category_scores_gemma":[0.0901248,0.00017784092,0.00009331885,0.0025853303,0.000796857,0.000056811015,0.00024406887,0.00046317268,0.000023267903],"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":[0.0064818654,0.00049067655,0.95450455,0.003379546,0.0026686569,0.00058714877,0.0026639749,0.0012017651,0.02257449,0.000045774745,0.003397031,0.0020044944],"study_design_scores_gemma":[0.0064434162,0.004078097,0.98308694,0.0009774092,0.000619979,0.0000043934374,0.0009659598,0.00064128166,0.000078784455,0.00016937473,0.0027726071,0.00016178319],"about_ca_topic_score_codex":0.0005420003,"about_ca_topic_score_gemma":0.000054700584,"teacher_disagreement_score":0.08816762,"about_ca_system_score_codex":0.00023596518,"about_ca_system_score_gemma":0.0010343402,"threshold_uncertainty_score":0.9175395},"labels":[],"label_agreement":null},{"id":"W4383187643","doi":"10.1186/s13073-023-01200-8","title":"Phylogenomic insights into evolutionary trajectories of multidrug resistant S. pneumoniae CC271 over a period of 14 years in China","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Chinese Academy of Sciences","keywords":"Phylogenetic tree; Biology; Streptococcus pneumoniae; Multiple drug resistance; Genetics; Population; clone (Java method); Multilocus sequence typing; China; Evolutionary biology; Phylogenetics; Gene; Drug resistance; Genotype; Demography; Geography; Antibiotics","score_opus":0.010848036403623638,"score_gpt":0.2617295564075089,"score_spread":0.25088152000388525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383187643","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":[0.9957249,0.001548839,0.000006324438,0.0011262362,0.0003368738,0.00038273507,0.000019856501,0.000060837505,0.00079338375],"genre_scores_gemma":[0.99872935,0.0004254828,0.00003181655,0.00009029221,0.00022190838,0.000030102607,0.000050158094,0.000030353083,0.00039055294],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983156,0.00007481299,0.0006561987,0.00029309845,0.0003897562,0.0002705465],"domain_scores_gemma":[0.9991402,0.00006774244,0.00017446047,0.00039200607,0.00009192485,0.0001336764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002675496,0.00019048768,0.00065583107,0.0008470604,0.000063961386,0.0000017691926,0.00012683809,0.00012069066,0.00011417419],"category_scores_gemma":[0.00019419368,0.00015230694,0.000112619644,0.0012012268,0.00045313823,0.000049481674,0.00006312402,0.00024923525,0.000023708493],"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":[0.00014352081,0.00016122355,0.054251507,0.00030668697,0.00008007577,0.00016513864,0.012620068,0.00008533199,0.93160826,0.00010578908,0.00015836142,0.00031406368],"study_design_scores_gemma":[0.0023091014,0.00077282207,0.98469734,0.00027577163,0.00007610036,0.000026619146,0.00083248375,0.00013654614,0.00082488987,0.00025215236,0.009665288,0.00013088666],"about_ca_topic_score_codex":0.00046060528,"about_ca_topic_score_gemma":0.00018268079,"teacher_disagreement_score":0.93078333,"about_ca_system_score_codex":0.00016705322,"about_ca_system_score_gemma":0.00022259247,"threshold_uncertainty_score":0.62108964},"labels":[],"label_agreement":null},{"id":"W4386527000","doi":"10.1186/s13073-023-01219-x","title":"Transcriptional immunogenomic analysis reveals distinct immunological clusters in paediatric nervous system tumours","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; SickKids Foundation; University Health Network; University of Toronto; BC Cancer Agency; Princess Margaret Cancer Centre; Hospital for Sick Children; University of British Columbia","funders":"NHLBI Division of Intramural Research; Stanford Cancer Institute; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; Deutsche Krebshilfe; Terry Fox Research Institute; University of Toronto; Parker Institute for Cancer Immunotherapy","keywords":"Human genetics; Medicine; Central nervous system; Nervous system; Systems biology; Computational biology; Immunology; Biology; Bioinformatics; Neuroscience; Genetics; Internal medicine; Gene","score_opus":0.03392925098274058,"score_gpt":0.2945778025462837,"score_spread":0.2606485515635431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386527000","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":[0.9840443,0.0077168494,0.00021083113,0.0034858258,0.00032850265,0.0009177754,0.000042623167,0.0002874004,0.0029658775],"genre_scores_gemma":[0.991218,0.0011440765,0.000054887038,0.0001783439,0.0007103657,0.000117234,0.00072152365,0.000051692245,0.005803888],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99631184,0.0003183172,0.0009326281,0.0006503894,0.000918204,0.0008685988],"domain_scores_gemma":[0.9984533,0.00030804233,0.00013397343,0.0006833014,0.00012903595,0.0002923322],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018640286,0.00033245186,0.0012133077,0.0022847825,0.0001230889,0.000017131842,0.00037429252,0.00018960661,0.003262633],"category_scores_gemma":[0.00017631687,0.00025528084,0.00038069036,0.0056506307,0.00031288015,0.000059553004,0.000104804334,0.0006294805,0.00041759695],"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":[0.0028473423,0.00029048993,0.18471092,0.00078720285,0.0023430772,0.0032478396,0.0030045065,0.0012218734,0.784351,0.0003238928,0.0007208953,0.016150951],"study_design_scores_gemma":[0.0042292476,0.0006750245,0.98671687,0.00011015617,0.00091097935,0.00019357016,0.002171696,0.0015365268,0.000030924533,0.000042319483,0.0031254552,0.00025725484],"about_ca_topic_score_codex":0.00034095152,"about_ca_topic_score_gemma":0.00004855779,"teacher_disagreement_score":0.80200595,"about_ca_system_score_codex":0.00087562064,"about_ca_system_score_gemma":0.00013251424,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W4386834909","doi":"10.1186/s13073-023-01221-3","title":"Identification of novel genetic risk factors of dilated cardiomyopathy: from canine to human","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Cardiovascular Conditions and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Saint John Regional Hospital","funders":"ZonMw; National Institute for Health and Care Research","keywords":"Dilated cardiomyopathy; Candidate gene; Cardiomyopathy; Etiology; Transcriptome; Medicine; Heart failure; Human genetics; Genome-wide association study; Heart disease; Phenotype; Disease; Bioinformatics; Cardiology; Internal medicine; Gene; Biology; Genetics; Gene expression; Single-nucleotide polymorphism","score_opus":0.025500203840446697,"score_gpt":0.2798659755690831,"score_spread":0.2543657717286364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386834909","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":[0.99638486,0.0005483482,0.0015643405,0.000111480746,0.00016121869,0.0004673487,0.00054458535,0.000050386556,0.00016740299],"genre_scores_gemma":[0.9980534,0.00010406012,0.0001184509,0.000013805019,0.00015741009,0.000021887407,0.0012007452,0.000025128973,0.00030511525],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986254,0.00002846498,0.00052181067,0.00026130112,0.00040716538,0.0001558619],"domain_scores_gemma":[0.9988676,0.000040306895,0.00018016677,0.00058693625,0.00018862993,0.00013637533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022251753,0.00013743604,0.0005716255,0.00039969353,0.000052924825,0.000002197456,0.00008195993,0.00005319112,0.00018583177],"category_scores_gemma":[0.000124847,0.00010888656,0.00017202874,0.0007927758,0.000081210565,0.000017330527,0.000040778235,0.000068064706,0.000030841024],"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":[0.000037290156,0.00015136281,0.1627784,0.00007332312,0.0016266857,0.00008387342,0.0020434314,0.0008869667,0.83069587,0.000017361137,0.00018814461,0.0014172719],"study_design_scores_gemma":[0.0023633519,0.0003084427,0.986761,0.00007636937,0.0011402968,0.000010847496,0.00036284054,0.00008237978,0.008522607,0.00003398788,0.00026059555,0.00007729682],"about_ca_topic_score_codex":0.0038088018,"about_ca_topic_score_gemma":0.000050253708,"teacher_disagreement_score":0.8239826,"about_ca_system_score_codex":0.00006011293,"about_ca_system_score_gemma":0.000034640387,"threshold_uncertainty_score":0.57577944},"labels":[],"label_agreement":null},{"id":"W4386864391","doi":"10.1186/s13073-023-01229-9","title":"Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome","year":2023,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research","funders":"Science Fund for Distinguished Young Scholars of Zhejiang Province; Medical Research Council; National Natural Science Foundation of China; Cancer Research UK","keywords":"Proteome; Genome-wide association study; Biology; Proteomics; Mendelian randomization; Computational biology; Bioinformatics; Cancer research; Genetics; Medicine; Gene; Single-nucleotide polymorphism; Genotype","score_opus":0.029078579299543904,"score_gpt":0.3276899001290278,"score_spread":0.29861132082948394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386864391","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":[0.03311455,0.9589717,0.0025442634,0.00021126881,0.00010092249,0.0040187836,0.0009911509,0.000017398124,0.00002998359],"genre_scores_gemma":[0.006326881,0.9788066,0.0017455531,0.00002685993,0.0005642717,0.004356205,0.0057521877,0.00013710251,0.0022843194],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.998031,0.000097393255,0.00086206925,0.0005740071,0.00012866182,0.00030682996],"domain_scores_gemma":[0.9984691,0.000055847926,0.0009878231,0.00023488943,0.00016777944,0.00008456997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096215773,0.0003330747,0.0010650865,0.00013497773,0.00012897134,0.00000763832,0.00021995763,0.00027915146,0.0000085272195],"category_scores_gemma":[0.0002822204,0.0002370747,0.00010892146,0.00020833562,0.00024649032,0.000002280691,0.0000821108,0.00013280717,0.0000010324801],"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":[0.000060485796,0.000081303304,0.00008276159,0.011212304,0.0015264496,9.56127e-7,0.0002629316,0.000009995937,0.9536366,0.00003272707,0.0012849309,0.031808592],"study_design_scores_gemma":[0.0035645263,0.0023956639,0.0007579072,0.005669011,0.00182571,0.0000349293,0.00058016647,0.00011611397,0.0031869188,0.00006702664,0.9805147,0.001287302],"about_ca_topic_score_codex":0.00014061322,"about_ca_topic_score_gemma":0.00015283733,"teacher_disagreement_score":0.9792298,"about_ca_system_score_codex":0.00006192595,"about_ca_system_score_gemma":0.00016871888,"threshold_uncertainty_score":0.96676254},"labels":[],"label_agreement":null},{"id":"W4387424342","doi":"10.1186/s13073-023-01228-w","title":"Genomic architecture of autism spectrum disorder in Qatar: The BARAKA-Qatar Study","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":21,"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 Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Qatar National Research Fund; Hospital for Sick Children; Fonds National de la Recherche Luxembourg; University of Toronto; Simons Foundation Autism Research Initiative","keywords":"Human genetics; Autism spectrum disorder; Genomic medicine; Autism; Architecture; Genetics; Computational biology; Molecular medicine; Biology; Medicine; Bioinformatics; Psychiatry; Gene; Geography","score_opus":0.03020375308186458,"score_gpt":0.30255062486734036,"score_spread":0.2723468717854758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387424342","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":[0.9168275,0.00057612016,0.000104285915,0.07862966,0.00023549375,0.0015649294,0.000030621748,0.0001293587,0.0019020446],"genre_scores_gemma":[0.997811,0.00034343722,0.0000086880445,0.00032891138,0.000115955,0.00008850796,0.000012130807,0.000055822817,0.0012355451],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99640304,0.00044637485,0.00058040995,0.0007348471,0.0009609346,0.0008744078],"domain_scores_gemma":[0.9981563,0.0005042829,0.00013088388,0.0010760069,0.000004788883,0.00012772752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160711,0.00028420132,0.000494611,0.000729533,0.00020620375,0.000017442779,0.001327696,0.00006349601,0.00085013395],"category_scores_gemma":[0.00039452492,0.00016540404,0.000066008986,0.0027281395,0.0006329518,0.000061263614,0.0005913155,0.00069859956,0.00042568232],"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":[0.00090890186,0.0025987953,0.30987138,0.00044272948,0.0001843419,0.0023942897,0.13816708,0.010112071,0.47202018,0.04245544,0.0013035013,0.01954128],"study_design_scores_gemma":[0.0032568416,0.0012056258,0.9436892,0.000042681742,0.000028849061,0.00004189081,0.0026504663,0.00064944284,0.00079952995,0.037062693,0.010244711,0.00032802726],"about_ca_topic_score_codex":0.0016660108,"about_ca_topic_score_gemma":0.0015204888,"teacher_disagreement_score":0.63381785,"about_ca_system_score_codex":0.00006944345,"about_ca_system_score_gemma":0.00010593157,"threshold_uncertainty_score":0.9308371},"labels":[],"label_agreement":null},{"id":"W4387874656","doi":"10.1186/s13073-023-01246-8","title":"Beyond gene-disease validity: capturing structured data on inheritance, allelic requirement, disease-relevant variant classes, and disease mechanism for inherited cardiac conditions","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"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 Ottawa; Montreal Heart Institute; Agricultural Research Institute of Ontario; University Health Network; Toronto General Hospital; Hamilton Health Sciences; University of Toronto; McMaster University; Université de Montréal; Population Health Research Institute","funders":"National Human Genome Research Institute; NIHR Imperial Biomedical Research Centre; National Heart, Lung, and Blood Institute; Hartstichting; Canada Research Chairs; British Heart Foundation; Wellcome Trust; Sir Jules Thorn Charitable Trust; Medical Research Council; American Heart Association","keywords":"Mechanism (biology); Genetics; Disease; Allele; Computational biology; Inheritance (genetic algorithm); Gene; Human genetics; Biology; Medicine","score_opus":0.045331867752062334,"score_gpt":0.29353183473207833,"score_spread":0.248199966980016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387874656","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":[0.9641625,0.0071941,0.0009610089,0.0044784085,0.001098824,0.0016792468,0.02024054,0.0001082207,0.00007711101],"genre_scores_gemma":[0.9596153,0.0030619348,0.00023057926,0.0016221976,0.001319914,0.00023132772,0.033410303,0.0000852678,0.0004231704],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99769294,0.0000879659,0.0003906452,0.0010159158,0.000306566,0.00050598435],"domain_scores_gemma":[0.99720114,0.00004404848,0.00013868968,0.0012825353,0.00014433551,0.0011892191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002872971,0.00036251324,0.0003531922,0.00014558558,0.00031905778,0.00004340709,0.00042344493,0.00008709974,0.000036030702],"category_scores_gemma":[0.00055724056,0.00032200807,0.00011476756,0.00017909742,0.00017096626,0.000013317553,0.00039462888,0.00009296151,0.000008742663],"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":[0.0033298074,0.00047205234,0.005150591,0.0016408873,0.0014203106,0.0016137678,0.00031802355,0.0007537242,0.8940078,0.016092822,0.07408741,0.0011128163],"study_design_scores_gemma":[0.015292225,0.0022290854,0.5520509,0.0007145307,0.0052024587,0.000043524404,0.0013856163,0.008598059,0.0024281181,0.13366663,0.27407357,0.004315245],"about_ca_topic_score_codex":0.000018342827,"about_ca_topic_score_gemma":0.000017581335,"teacher_disagreement_score":0.8915797,"about_ca_system_score_codex":0.0000358044,"about_ca_system_score_gemma":0.0003256211,"threshold_uncertainty_score":0.99992317},"labels":[],"label_agreement":null},{"id":"W4388021725","doi":"10.1186/s13073-023-01243-x","title":"Bacterial genome-wide association study substantiates papGII of Escherichia coli as a major risk factor for urosepsis","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universität Zürich; Eidgenössische Technische Hochschule Zürich; École Polytechnique Fédérale de Lausanne; Universität Basel; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Escherichia coli; Medicine; Whole genome sequencing; Staphylococcus aureus; Urine; Virulence; Biology; Microbiology; Genome; Internal medicine; Bacteria; Genetics; Gene","score_opus":0.0270107753122165,"score_gpt":0.2911224694882415,"score_spread":0.264111694176025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388021725","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":[0.99212825,0.0001676926,0.00023179468,0.0021491095,0.0008478311,0.0031025514,0.0002259268,0.00024870006,0.0008981593],"genre_scores_gemma":[0.99277353,0.0002513436,0.00019316316,0.00027269323,0.00074273144,0.00026708073,0.00027167978,0.00007043897,0.0051573636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975123,0.00013880954,0.00076784973,0.00044598035,0.00064090494,0.0004941895],"domain_scores_gemma":[0.9976768,0.0007342332,0.0005729144,0.00051229884,0.0003194177,0.00018434123],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012561635,0.00028808796,0.00077320135,0.0005396884,0.00018567685,0.000016231335,0.0001673532,0.0001171676,0.0017613955],"category_scores_gemma":[0.0021368416,0.00024636812,0.00015747463,0.0011056392,0.00006504036,0.00009170729,0.000093235365,0.00022560128,0.00020980414],"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":[0.0016417933,0.0037796271,0.8519401,0.00058738294,0.0031617961,0.000102623475,0.00891368,0.000055058328,0.12587878,0.000031658703,0.0028153546,0.001092171],"study_design_scores_gemma":[0.00657796,0.0090602925,0.9428965,0.000040865307,0.0012817706,0.000001750392,0.0018620252,0.000031928885,0.00043104836,0.00008272133,0.037535597,0.0001975672],"about_ca_topic_score_codex":0.00032252754,"about_ca_topic_score_gemma":0.00007300016,"teacher_disagreement_score":0.12544774,"about_ca_system_score_codex":0.00039683277,"about_ca_system_score_gemma":0.00009689631,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W4388704591","doi":"10.1186/s13073-023-01244-w","title":"The role of admixture in the rare variant contribution to inflammatory bowel disease","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Inflammatory bowel disease; Exome sequencing; Haplotype; Disease; Genome-wide association study; 1000 Genomes Project; Exome; Medicine; Allele frequency; Genetics; Odds ratio; Genetic association; Founder effect; Population; Crohn's disease; Cohort; Ancestry-informative marker; Allele; Biology; Genotype; Single-nucleotide polymorphism; Pathology; Gene; Phenotype; Environmental health","score_opus":0.005481884913771316,"score_gpt":0.2435277909390233,"score_spread":0.23804590602525197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388704591","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":[0.98175985,0.0038010038,0.00026336923,0.013381472,0.0001250311,0.00033811326,0.00003282171,0.0000067017213,0.00029165807],"genre_scores_gemma":[0.9979046,0.000499886,0.000014100566,0.0007973071,0.00029196488,0.000060543796,0.0002177571,0.0000058102028,0.00020803016],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991479,0.00016387197,0.00022788819,0.00014273553,0.000108291715,0.00020932526],"domain_scores_gemma":[0.99940956,0.00008169158,0.00007217994,0.00030035886,0.000070856535,0.000065383145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101142,0.00007358224,0.000107362335,0.00003692678,0.00008887077,0.0000028687182,0.00021784042,0.000064044434,0.000009744531],"category_scores_gemma":[0.00105475,0.00003991496,0.000034440134,0.00017385629,0.00006900056,7.320467e-7,0.00006588419,0.000065843094,0.000013947741],"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":[0.00069897494,0.00012452087,0.41169444,0.000066563865,0.00025096323,0.00007710823,0.0040470026,0.0041223885,0.5147399,0.010211051,0.042949412,0.01101769],"study_design_scores_gemma":[0.00034432363,0.00013568977,0.79542446,0.000009972157,0.000016337352,0.000002648131,0.00077478617,0.00013001505,0.00017398401,0.0016087356,0.2013216,0.000057419795],"about_ca_topic_score_codex":0.000017620343,"about_ca_topic_score_gemma":0.000053832115,"teacher_disagreement_score":0.5145659,"about_ca_system_score_codex":0.000011352271,"about_ca_system_score_gemma":0.00005513522,"threshold_uncertainty_score":0.1627685},"labels":[],"label_agreement":null},{"id":"W4389137487","doi":"10.1186/s13073-023-01258-4","title":"Evaluating the association of biallelic OGDHL variants with significant phenotypic heterogeneity","year":2023,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"University College London Hospitals Biomedical Research Centre; Medical Research Council; Brain Research UK; Deutsche Forschungsgemeinschaft; Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg; University College London; National Institute for Health and Care Research; Great Ormond Street Hospital Charity; Michael J. Fox Foundation for Parkinson's Research; Muscular Dystrophy UK; Wellcome Trust; Oklahoma Medical Research Foundation; Eberhard Karls Universität Tübingen; Muscular Dystrophy Association","keywords":"Genetics; Biology; Phenotype; Zebrafish; Human genetics; Genetic heterogeneity; Allele; Allelic heterogeneity; Mendelian inheritance; Gene; CRISPR; Computational biology; Genotype","score_opus":0.03588300085501495,"score_gpt":0.31270702582083176,"score_spread":0.2768240249658168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389137487","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":[0.99799997,0.000527878,0.00012625984,0.00066031615,0.00011614758,0.00020414246,0.000027169568,0.0000111035,0.0003270383],"genre_scores_gemma":[0.9984105,0.00019391745,0.00007248098,0.00021460639,0.00034922475,0.000018733816,0.00020030538,0.000015156519,0.00052505237],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990719,0.000083429935,0.00019911272,0.00021150912,0.00023986802,0.00019420547],"domain_scores_gemma":[0.99933094,0.000035706853,0.00016402877,0.00028966158,0.00012693975,0.000052729618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007355909,0.00009867802,0.00014922276,0.000039131977,0.000088848494,0.000005462927,0.00016742386,0.00005309869,0.000032881788],"category_scores_gemma":[0.0002150353,0.000058019374,0.000040108236,0.00019240167,0.00006319813,0.0000011535417,0.000064502536,0.000046615893,0.000013768315],"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":[0.0001206524,0.000030379859,0.012456026,0.000031928877,0.00015962838,0.0000051687152,0.00021909404,0.0010566204,0.98365885,0.00003439597,0.0005720941,0.0016551664],"study_design_scores_gemma":[0.003329606,0.0033375404,0.9583693,0.000063442654,0.00035313147,0.000015461545,0.00081701396,0.0009955862,0.021278504,0.00031821695,0.010718139,0.00040402307],"about_ca_topic_score_codex":0.0000385331,"about_ca_topic_score_gemma":0.000034525216,"teacher_disagreement_score":0.96238035,"about_ca_system_score_codex":0.000018259687,"about_ca_system_score_gemma":0.00008653002,"threshold_uncertainty_score":0.23659614},"labels":[],"label_agreement":null},{"id":"W4391486154","doi":"10.1186/s13073-024-01294-8","title":"Biological basis of extensive pleiotropy between blood traits and cancer risk","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"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 Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Departament de Salut, Generalitat de Catalunya; European Regional Development Fund; Instituto de Salud Carlos III; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Centro de Investigación Biomédica en Red de Cáncer; National Cancer Institute; National Institutes of Health; Generalitat de Catalunya; Grifols; Centres de Recerca de Catalunya","keywords":"Biology; Genome-wide association study; Carcinogenesis; Quantitative trait locus; Pleiotropy; Genetics; Genetic association; Cancer; Expression quantitative trait loci; Gene; Human genetics; Computational biology; Single-nucleotide polymorphism; Phenotype; Genotype","score_opus":0.0221468390711602,"score_gpt":0.2895344597851206,"score_spread":0.2673876207139604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391486154","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":[0.9599395,0.037103187,0.0010628972,0.0013425392,0.00008411804,0.0001038289,0.0001494033,0.00000943582,0.00020512723],"genre_scores_gemma":[0.98452115,0.0136198355,0.00061407837,0.00018205137,0.00074261316,0.000015160431,0.0000817957,0.000010666477,0.00021267633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99909484,0.00009493183,0.00025711054,0.00030303685,0.00006346972,0.000186612],"domain_scores_gemma":[0.99959356,0.000083877116,0.000077455996,0.000099792844,0.00006810591,0.000077215685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459044,0.00011530591,0.00028809832,0.000050779083,0.00004096659,0.0000025588288,0.0000803021,0.00015678717,0.000093700226],"category_scores_gemma":[0.0003007208,0.000079955586,0.000049072954,0.00009680297,0.00020561289,8.9244475e-7,0.00005799703,0.00009457774,0.000002746715],"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":[0.00002402526,0.000024749144,0.2506969,0.00006323715,0.0006639251,0.0000074667746,0.0003734129,0.000029615745,0.70367354,0.00012832115,0.0023055142,0.04200931],"study_design_scores_gemma":[0.00048587334,0.0008160624,0.96880656,0.000032656717,0.00026198543,0.000011658842,0.00014208668,0.00002690162,0.0031696928,0.0004623314,0.025654653,0.00012955177],"about_ca_topic_score_codex":0.00013788356,"about_ca_topic_score_gemma":0.000014519889,"teacher_disagreement_score":0.71810967,"about_ca_system_score_codex":0.000006570465,"about_ca_system_score_gemma":0.00003761727,"threshold_uncertainty_score":0.3260494},"labels":[],"label_agreement":null},{"id":"W4391539455","doi":"10.1186/s13073-024-01298-4","title":"Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; BC Cancer Agency; Princess Margaret Cancer Centre; University of British Columbia; University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Human Genome Research Institute; World Health Organization","keywords":"Polygenic risk score; Risk stratification; Lung cancer; Medicine; Human genetics; Oncology; Internal medicine; Risk assessment; Bioinformatics; Statistics; Biology; Genetics; Mathematics; Computer science; Gene; Single-nucleotide polymorphism","score_opus":0.03460594415763018,"score_gpt":0.33830150459851727,"score_spread":0.3036955604408871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391539455","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":[0.9875592,0.009036278,0.001501092,0.00021087955,0.00018687802,0.00019036613,0.0010926038,0.000006888395,0.00021580463],"genre_scores_gemma":[0.9955813,0.0031755222,0.00014047847,0.000034833865,0.00035491126,0.000019874007,0.0004867489,0.00001511112,0.00019121723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987928,0.000141869,0.0004130078,0.0002898487,0.00016591881,0.00019653777],"domain_scores_gemma":[0.9991592,0.00007144336,0.00028707043,0.00030672643,0.00010972891,0.0000658051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007062723,0.0001433932,0.0002769447,0.000102341146,0.00004432005,0.000003423186,0.00017177124,0.00014930047,0.00017349895],"category_scores_gemma":[0.00031264103,0.00010287948,0.00013025552,0.00018199667,0.00013266818,0.0000017449753,0.00003798241,0.00014404993,0.0000026660537],"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":[0.00014360754,0.000101555066,0.61048967,0.00012414245,0.0016542068,0.0000012566938,0.001173182,0.014537364,0.3380164,0.000113013004,0.0071069323,0.026538689],"study_design_scores_gemma":[0.0004335396,0.0009845487,0.9951295,0.000055621796,0.00026485798,0.0000019270908,0.00009869504,0.0008320445,0.0015830878,0.00020192993,0.00030434324,0.000109876564],"about_ca_topic_score_codex":0.0016903026,"about_ca_topic_score_gemma":0.00013829756,"teacher_disagreement_score":0.38463986,"about_ca_system_score_codex":0.000050807434,"about_ca_system_score_gemma":0.00022952067,"threshold_uncertainty_score":0.41953036},"labels":[],"label_agreement":null},{"id":"W4391948073","doi":"10.1186/s13073-024-01289-5","title":"Detection of a historic reservoir of bedaquiline/clofazimine resistance-associated variants in Mycobacterium tuberculosis","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases; Economic and Social Research Council; Biotechnology and Biological Sciences Research Council; Wellcome Trust; Academy of Medical Sciences; University College London","keywords":"Bedaquiline; Clofazimine; Mycobacterium tuberculosis; Tuberculosis; Mycobacterium tuberculosis complex; Medicine; Human genetics; Microbiology; Mycobacterium Infections; Biology; Mycobacterium; Immunology; Genetics; Pathology","score_opus":0.028026618505823674,"score_gpt":0.30722344106984667,"score_spread":0.279196822564023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391948073","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":[0.96344185,0.021334363,0.00012278151,0.010443768,0.00054490997,0.00049097475,0.00004941888,0.00006787413,0.0035040828],"genre_scores_gemma":[0.9945392,0.0026377798,0.00014953758,0.00015553084,0.00034186724,0.000038377475,0.000117779244,0.00003700224,0.0019829115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971768,0.0002626366,0.0010911531,0.00044979024,0.00051753444,0.0005020821],"domain_scores_gemma":[0.998391,0.00047407727,0.00016209338,0.00047340675,0.00028258847,0.00021685912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989187,0.00021849026,0.0010749938,0.0009831978,0.00002734819,0.0000025253999,0.00015688826,0.0002295452,0.00037294405],"category_scores_gemma":[0.0031479774,0.00016971394,0.00014153635,0.0016698939,0.00026680442,0.00007684498,0.00006765675,0.00046722143,0.00001852899],"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":[0.0012701725,0.00028826305,0.009081529,0.0022055996,0.00040090227,0.00024117877,0.0012303796,0.000013365582,0.97853947,0.00013126129,0.004217836,0.0023800437],"study_design_scores_gemma":[0.0053529413,0.003746398,0.92288345,0.0038553048,0.0005767971,0.000096938114,0.00039827992,0.0015808755,0.008069954,0.0009324328,0.05214042,0.00036619673],"about_ca_topic_score_codex":0.0014001149,"about_ca_topic_score_gemma":0.0010987034,"teacher_disagreement_score":0.97046953,"about_ca_system_score_codex":0.0006003757,"about_ca_system_score_gemma":0.00019579446,"threshold_uncertainty_score":0.6920734},"labels":[],"label_agreement":null},{"id":"W4398193606","doi":"10.1186/s13073-024-01326-3","title":"Analysis of admixed Greenlandic siblings shows that the mean genotypic values for metabolic phenotypes differ between Inuit and Europeans","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Copenhagen Graduate School for Nanoscience and Nanotechnology; Novo Nordisk; Novo Nordisk Fonden; Københavns Universitet; Danmarks Frie Forskningsfond; Villum Fonden","keywords":"Phenotype; Genotype; Human genetics; Genetics; Biology; Genotype-phenotype distinction; Evolutionary biology; Gene","score_opus":0.029087341390997744,"score_gpt":0.2877341535431323,"score_spread":0.2586468121521346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398193606","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":[0.96222335,0.025199134,0.0103449505,0.0015460895,0.000110384564,0.00024711943,0.00018644637,0.000012589169,0.00012994165],"genre_scores_gemma":[0.99599135,0.0015394309,0.00030318313,0.0003299922,0.0005734712,0.000020490485,0.000361008,0.000021883152,0.00085919845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988746,0.00013872654,0.00031092388,0.00033512755,0.00011584095,0.00022475286],"domain_scores_gemma":[0.9992616,0.00019667443,0.00010550306,0.0002943284,0.000070946575,0.00007094668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096666644,0.00015546606,0.0004608711,0.00019851234,0.00008854813,0.000010300589,0.0001903514,0.000094306844,0.000058648428],"category_scores_gemma":[0.00019046813,0.000093289345,0.00014121844,0.00034894017,0.00019043185,0.0000021856667,0.000088533925,0.00007754649,0.0000020556977],"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":[0.00013797899,0.000058442296,0.6307738,0.00029370515,0.01626525,0.0000041225076,0.012285318,0.00043999797,0.2692358,0.0011284634,0.0036484625,0.06572867],"study_design_scores_gemma":[0.00043999887,0.00035313753,0.95534277,0.000015707048,0.0043383623,0.0000022906922,0.00041821052,0.0007945938,0.00085846824,0.0008699162,0.03638911,0.00017745602],"about_ca_topic_score_codex":0.00006835165,"about_ca_topic_score_gemma":0.0001794574,"teacher_disagreement_score":0.32456896,"about_ca_system_score_codex":0.000008325478,"about_ca_system_score_gemma":0.000035392826,"threshold_uncertainty_score":0.3804229},"labels":[],"label_agreement":null},{"id":"W4399054684","doi":"10.1186/s13073-024-01322-7","title":"Metabolome-wide Mendelian randomization for age at menarche and age at natural menopause","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Hypothalamic control of reproductive hormones","field":"Medicine","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":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; Wellcome Trust","keywords":"Menarche; Mendelian randomization; Metabolome; Human genetics; Menopause; Medicine; Confounding; Mendelian inheritance; Bioinformatics; Physiology; Computational biology; Biology; Genetics; Internal medicine; Metabolomics; Gene; Genotype","score_opus":0.02179337571205887,"score_gpt":0.28233585208163114,"score_spread":0.2605424763695723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399054684","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":[0.76992226,0.16989161,0.0024779195,0.049111865,0.0014788094,0.0039037887,0.000052427476,0.00037984515,0.0027814594],"genre_scores_gemma":[0.94659454,0.0018518595,0.0014681617,0.0012201683,0.0015087378,0.00020678644,0.0004865499,0.00009241639,0.0465708],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976551,0.00009392384,0.0005206118,0.0008010807,0.00045890332,0.00047041173],"domain_scores_gemma":[0.9984726,0.00055643695,0.00009172036,0.0004909665,0.00013388213,0.00025443712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013263877,0.00035082363,0.0009850127,0.0003876723,0.00016343348,0.000022940254,0.000112651,0.0001035316,0.00029972184],"category_scores_gemma":[0.0010436298,0.00023753423,0.00011032743,0.00029454016,0.0003419909,0.00011027878,0.0001457836,0.00024064971,0.000053441294],"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":[0.0036956053,0.0000420076,0.00041404372,0.00061144424,0.0008884371,0.000710427,0.0038447648,0.0000063628822,0.96984357,0.00033768025,0.008312079,0.011293566],"study_design_scores_gemma":[0.033198636,0.0013047196,0.018539699,0.0002933006,0.002593322,0.0006640204,0.00034576445,0.00080347597,0.006578211,0.0010849099,0.93407327,0.0005207006],"about_ca_topic_score_codex":0.00002912378,"about_ca_topic_score_gemma":0.000045256318,"teacher_disagreement_score":0.96326536,"about_ca_system_score_codex":0.00037903807,"about_ca_system_score_gemma":0.00005463512,"threshold_uncertainty_score":0.9686365},"labels":[],"label_agreement":null},{"id":"W4399149820","doi":"10.1186/s13073-024-01339-y","title":"Variant-specific pathophysiological mechanisms of AFF3 differently influence transcriptome profiles","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Hospital Foundation","funders":"National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; Université de Lausanne; Wellcome Trust; National Science Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Zebrafish; Missense mutation; Biology; Phenotype; Genetics; Loss function; Heterozygote advantage; Transcriptome; Gene; Allele; Gene expression","score_opus":0.018198119841946324,"score_gpt":0.2790688858454174,"score_spread":0.2608707660034711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399149820","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":[0.9655449,0.013549543,0.018923236,0.0006902081,0.00018332835,0.00036944923,0.00005282281,0.000030813062,0.0006557467],"genre_scores_gemma":[0.99776495,0.0010781608,0.00018923005,0.00008179001,0.00020297748,0.000048790433,0.00014151559,0.000022615437,0.00046996382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998708,0.000084773215,0.0002385723,0.00044901017,0.00024856383,0.0002710665],"domain_scores_gemma":[0.9994307,0.000032393935,0.00002922985,0.00031552496,0.00010319415,0.00008895033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022682882,0.00016643999,0.00024909104,0.000105196785,0.000037890706,0.00000904308,0.00026790696,0.00011626267,0.0004722744],"category_scores_gemma":[0.00008706559,0.000120711054,0.0000747923,0.00022486095,0.00024394842,0.000003331355,0.000083679595,0.0001462408,0.000027922208],"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":[0.00008409921,0.000044082928,0.000027072883,0.00012387648,0.000050839317,0.000038529666,0.00021597471,0.000008106984,0.9918798,0.003631606,0.0001806473,0.0037153347],"study_design_scores_gemma":[0.0036350945,0.010098939,0.09180627,0.00059530995,0.00013588277,0.00016369061,0.0020413855,0.0003204492,0.75592077,0.034700565,0.09933631,0.0012453478],"about_ca_topic_score_codex":0.0000139390295,"about_ca_topic_score_gemma":0.0000023750836,"teacher_disagreement_score":0.23595908,"about_ca_system_score_codex":0.000014548487,"about_ca_system_score_gemma":0.000046895544,"threshold_uncertainty_score":0.51710737},"labels":[],"label_agreement":null},{"id":"W4399155791","doi":"10.1186/s13073-024-01348-x","title":"Variability of polygenic prediction for body mass index in Africa","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"H2020 European Institute of Innovation and Technology; National Human Genome Research Institute; Versus Arthritis; Medical Research Council; National Institute for Health and Care Research; Programma Operativo Nazionale Ricerca e Competitività; National Institute for Health Care Management Foundation; Wellcome Trust","keywords":"Body mass index; Genome-wide association study; Biobank; Demography; Linkage disequilibrium; Genetic association; Medicine; Geography; Biology; Genetics; Allele; Genotype; Haplotype; Single-nucleotide polymorphism; Internal medicine","score_opus":0.013436128721222807,"score_gpt":0.266520508816328,"score_spread":0.2530843800951052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399155791","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":[0.88768244,0.0049425103,0.101522274,0.001710275,0.0006380353,0.0005130148,0.00013413963,0.000018939882,0.0028383515],"genre_scores_gemma":[0.99789506,0.00018907178,0.0006590835,0.00005015863,0.00038052571,0.000055784003,0.0001794727,0.000010529579,0.00058029377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990844,0.000072278046,0.00032954564,0.000256279,0.00006606936,0.00019138909],"domain_scores_gemma":[0.99958897,0.000072048075,0.000050158054,0.00019678351,0.000052381012,0.000039664574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108424,0.000083314,0.00018897961,0.00007910918,0.000018563542,0.0000017537294,0.00008713563,0.00014226169,0.000041566735],"category_scores_gemma":[0.00040966435,0.00006922701,0.000053557764,0.00014197148,0.000070164555,0.0000012285008,0.00002583292,0.000062644875,0.0000018463907],"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":[0.0000930535,0.00006069129,0.22388329,0.00018545215,0.00014216581,0.0000013786998,0.00028903098,0.0004603458,0.7688479,0.00043578973,0.0039441986,0.0016567294],"study_design_scores_gemma":[0.0011511595,0.0010980151,0.8814522,0.000047897425,0.00008160746,0.0000064539245,0.00021449958,0.0057525076,0.0009410108,0.007222865,0.10186264,0.00016914519],"about_ca_topic_score_codex":0.000029016004,"about_ca_topic_score_gemma":0.000010865835,"teacher_disagreement_score":0.76790684,"about_ca_system_score_codex":0.000030203979,"about_ca_system_score_gemma":0.00006989612,"threshold_uncertainty_score":0.28229955},"labels":[],"label_agreement":null},{"id":"W4401167185","doi":"10.1186/s13073-024-01364-x","title":"Meta-analysis identifies common gut microbiota associated with multiple sclerosis","year":2024,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"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 British Columbia","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Sun Yat-sen University","keywords":"Gut flora; Multiple sclerosis; Human genetics; Medicine; Bioinformatics; Computational biology; Biology; Immunology; Genetics","score_opus":0.15796125793606447,"score_gpt":0.34230620728023725,"score_spread":0.18434494934417278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401167185","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":[0.00025452606,0.9974764,0.00003280836,0.0002309833,0.00019695419,0.00071478885,0.00087421294,0.000039236365,0.00018007359],"genre_scores_gemma":[0.0015502524,0.97777414,0.000051991043,0.0003172338,0.00033786634,0.000101105485,0.010665239,0.00011408037,0.009088067],"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","domain_scores_codex":[0.99696475,0.00029664303,0.00094486756,0.0010235956,0.00024089334,0.00052924163],"domain_scores_gemma":[0.9980671,0.000063557956,0.0005241551,0.001020634,0.00013658179,0.00018798691],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007194266,0.00075367786,0.0043681934,0.0004933333,0.00014506684,0.00005296327,0.0005393121,0.00055964704,0.0003605947],"category_scores_gemma":[0.00006241953,0.0004443706,0.0019213015,0.0011675087,0.00026118502,0.000002520045,0.00024962262,0.00045579273,0.00012613955],"study_design_candidate":"meta_analysis","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":[0.000032415268,0.00020860531,0.000027121174,0.014527328,0.8905502,0.00007809532,0.00028239933,0.00000765424,0.05385331,0.000008276898,0.030274112,0.010150479],"study_design_scores_gemma":[0.000184259,0.00016201337,0.00008301966,0.00063530135,0.4121202,0.00001789618,0.000018395422,4.151821e-7,0.000014835046,0.0000014753133,0.5864298,0.00033240093],"about_ca_topic_score_codex":0.00019318385,"about_ca_topic_score_gemma":0.0013796869,"teacher_disagreement_score":0.5561557,"about_ca_system_score_codex":0.000093680865,"about_ca_system_score_gemma":0.00022650085,"threshold_uncertainty_score":0.9998008},"labels":[],"label_agreement":null},{"id":"W4402348265","doi":"10.1186/s13073-024-01380-x","title":"Evaluating metagenomics and targeted approaches for diagnosis and surveillance of viruses","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute for Health and Care Research","keywords":"Metagenomics; Nanopore sequencing; Illumina dye sequencing; Computational biology; Workflow; Deep sequencing; DNA sequencing; Minion; Biology; Sequence assembly; Genome; Transcriptome; Bioinformatics; Computer science; Genetics; Gene","score_opus":0.11082156010920002,"score_gpt":0.3325387943933779,"score_spread":0.2217172342841779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402348265","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":[0.9916402,0.006471448,0.00061934616,0.0005682028,0.00012578825,0.00024233235,0.000046484303,0.000014240299,0.00027196694],"genre_scores_gemma":[0.99673176,0.00057843904,0.0022726944,0.000099020515,0.00006903157,0.000038752823,0.000011385778,0.000010080726,0.0001888094],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99950117,0.000018566936,0.00014858536,0.00018417106,0.000051120416,0.00009637284],"domain_scores_gemma":[0.99968934,0.0001594459,0.000034539797,0.000073131436,0.000004499445,0.000039054168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032827765,0.00007137607,0.00014233957,0.000027024802,0.00004792374,0.000011468623,0.000042212156,0.000021486072,0.00048041317],"category_scores_gemma":[0.0000618748,0.000054023483,0.000018094246,0.000076638025,0.00016663971,0.000061777566,0.00005934121,0.000040828338,0.000004856853],"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":[0.000017086764,0.00001696448,0.004738585,0.00014067609,0.00005319993,0.0000012110315,0.0015565767,0.000079310645,0.9164941,0.00006437791,0.00035799446,0.076479964],"study_design_scores_gemma":[0.0014753626,0.0014855019,0.70643014,0.0002037499,0.00033035502,0.00007547826,0.0013033864,0.014464161,0.020687373,0.0010332938,0.25193787,0.0005733173],"about_ca_topic_score_codex":0.0001624034,"about_ca_topic_score_gemma":0.0000630221,"teacher_disagreement_score":0.89580667,"about_ca_system_score_codex":0.000022635097,"about_ca_system_score_gemma":0.000003627992,"threshold_uncertainty_score":0.52601874},"labels":[],"label_agreement":null},{"id":"W4403384574","doi":"10.1186/s13073-024-01383-8","title":"A validated heart-specific model for splice-disrupting variants in childhood heart disease","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Congenital heart defects research","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":"SickKids Foundation; University of Toronto; University Health Network; London Health Sciences Centre; McMaster Children's Hospital; Children's Hospital of Eastern Ontario; Ted Rogers Centre for Heart Research; Kingston Health Sciences Centre; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Wellcome Trust; Hospital for Sick Children; European Bioinformatics Institute; National Heart Foundation of Australia","keywords":"splice; Proband; RNA splicing; Alternative splicing; Genetics; Exon; Medicine; Gene; Exon skipping; Biology; Computational biology; Bioinformatics; Mutation; RNA","score_opus":0.030885953326447172,"score_gpt":0.3276038221570244,"score_spread":0.2967178688305772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403384574","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":[0.9606665,0.026961042,0.0064240303,0.0039278604,0.00023487143,0.0011784122,0.00014222044,0.000057987774,0.00040712164],"genre_scores_gemma":[0.9961309,0.00023025413,0.0005930685,0.0005017591,0.0007014488,0.00013224946,0.00034961916,0.000056350935,0.0013043905],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983423,0.000053751413,0.00028430906,0.00060361595,0.00022706737,0.0004889652],"domain_scores_gemma":[0.99918354,0.000050473438,0.000015406036,0.00041836518,0.00006882022,0.00026337354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005211416,0.00018775242,0.00023523002,0.00018459967,0.00007095633,0.000026234942,0.000158823,0.00009134923,0.00008178599],"category_scores_gemma":[0.00016557299,0.00016497588,0.00007750051,0.00030515404,0.00008262452,0.000006539319,0.00012873812,0.00017397942,0.000052990414],"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":[0.00024603386,0.00011289745,0.0005033139,0.00026892876,0.000044699842,0.00005606943,0.00051205495,0.000498088,0.9900196,0.00008048943,0.0049724453,0.0026853522],"study_design_scores_gemma":[0.011611483,0.004176137,0.11126765,0.0014684784,0.00024374755,0.0004180236,0.000713852,0.2548802,0.014035782,0.0045473324,0.59413093,0.0025063867],"about_ca_topic_score_codex":0.000016829237,"about_ca_topic_score_gemma":0.000018455325,"teacher_disagreement_score":0.97598386,"about_ca_system_score_codex":0.000040811214,"about_ca_system_score_gemma":0.00019095647,"threshold_uncertainty_score":0.6727521},"labels":[],"label_agreement":null},{"id":"W4404164312","doi":"10.1186/s13073-024-01403-7","title":"Exploring multi-omics and clinical characteristics linked to accelerated biological aging in Asian women of reproductive age: insights from the S-PRESTO study","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Precursory Research for Embryonic Science and Technology; National Research Foundation Singapore; National Medical Research Council; Medical Research Council; National University Health System; National Research Foundation","keywords":"Omics; Human genetics; Reproductive medicine; Reproductive biology; Healthy aging; Gerontology; Medicine; Bioinformatics; Proteomics; Systems biology; Computational biology; Biology; Physiology; Genetics; Pregnancy","score_opus":0.19106340244493553,"score_gpt":0.36625310916789167,"score_spread":0.17518970672295614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404164312","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":[0.9954251,0.0028835877,0.00040774126,0.0004813616,0.0003370273,0.00041974557,0.000010879693,0.000009599782,0.000024933499],"genre_scores_gemma":[0.99691105,0.001693914,0.00034248646,0.00008711766,0.0007907105,0.000042973123,0.000092546616,0.000014650758,0.000024525632],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863595,0.00018208801,0.00045361998,0.0004893114,0.000090691385,0.00014836757],"domain_scores_gemma":[0.99938464,0.00008424592,0.000062693965,0.0003297053,0.00005745209,0.00008125359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069197314,0.00012589057,0.00026821575,0.00006383243,0.000035895828,0.000015906924,0.00014346659,0.00007770052,0.000004614267],"category_scores_gemma":[0.00062007003,0.000081171136,0.000022738432,0.00018834099,0.00010970832,0.0000041990997,0.00017435184,0.00017526544,0.0000016681836],"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":[0.00013526477,0.00016221665,0.08750346,0.000014174021,0.0001249739,0.000042209325,0.014974403,0.000014404973,0.8665082,0.0000089761725,0.0000042441,0.03050748],"study_design_scores_gemma":[0.0005925961,0.0009738733,0.9894577,0.000039437986,0.000021134187,5.0670275e-7,0.0031576024,0.00006532587,0.0026078979,0.00006512141,0.002910471,0.000108293454],"about_ca_topic_score_codex":0.00008699281,"about_ca_topic_score_gemma":0.000062372805,"teacher_disagreement_score":0.9019543,"about_ca_system_score_codex":0.000020391393,"about_ca_system_score_gemma":0.000027450742,"threshold_uncertainty_score":0.3310063},"labels":[],"label_agreement":null},{"id":"W4404613285","doi":"10.1186/s13073-024-01401-9","title":"Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pancreas Centre (Canada); Vancouver Coastal Health Research Institute; Vancouver Coastal Health; Dalhousie University; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"BC Cancer Foundation; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"In silico; Biology; Suppressor; Gene; Computational biology; Genetics; Loss function; Mutation; Cancer research; Phenotype","score_opus":0.013981389029259437,"score_gpt":0.24357612773310197,"score_spread":0.22959473870384253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404613285","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":[0.95783985,0.034483593,0.0058607846,0.0008977634,0.00044617063,0.0001668951,0.00006936544,0.000006479472,0.00022908185],"genre_scores_gemma":[0.99703145,0.00072395254,0.00018041048,0.00037811795,0.0006581285,0.000038636797,0.00003654711,0.000014413859,0.00093831454],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999236,0.000025834343,0.00022052036,0.00023136925,0.00013426776,0.00015199972],"domain_scores_gemma":[0.9996805,0.000029077994,0.00003855074,0.00015548908,0.000054024233,0.000042350315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017708741,0.000099037585,0.0001359075,0.000033031538,0.000045105473,0.00000810855,0.00008507658,0.000067152345,0.000072039344],"category_scores_gemma":[0.00004145158,0.000071064715,0.000037153455,0.0001460713,0.00005986634,0.000002263503,0.0000770891,0.00008594858,5.852137e-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":[0.000007808127,0.00001500332,0.0023319812,0.000059979473,0.000028353215,3.9319957e-7,0.0005118627,0.05965665,0.935923,0.000009156142,0.0006589255,0.0007969016],"study_design_scores_gemma":[0.0033363162,0.00046007094,0.72694856,0.0007318835,0.0001973086,0.000038451533,0.0020487648,0.050991878,0.15292369,0.0003402355,0.06114785,0.00083498436],"about_ca_topic_score_codex":0.0005163027,"about_ca_topic_score_gemma":0.0002542615,"teacher_disagreement_score":0.7829993,"about_ca_system_score_codex":0.00006438039,"about_ca_system_score_gemma":0.00009671,"threshold_uncertainty_score":0.2897935},"labels":[],"label_agreement":null},{"id":"W4405529411","doi":"10.1186/s13073-024-01411-7","title":"Structural variant allelic heterogeneity in MECP2 duplication syndrome provides insight into clinical severity and variability of disease expression","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Human Genome Research Institute; National Institutes of Health; Johns Hopkins University; National Heart, Lung, and Blood Institute; Intellectual and Developmental Disabilities Research Center; Baylor-Hopkins Center for Mendelian Genomics; International Rett Syndrome Foundation","keywords":"Gene duplication; Biology; Tandem exon duplication; Structural variation; Genetics; Copy-number variation; Segmental duplication; Breakpoint; MECP2; Comparative genomic hybridization; Genomics; Phenotype; Genome; Computational biology; Gene; Gene family; Chromosomal translocation","score_opus":0.015499341405865974,"score_gpt":0.2887185917355886,"score_spread":0.27321925032972266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405529411","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":[0.99535865,0.0031649326,0.0003834739,0.00058407744,0.00014794705,0.00029306553,0.000012153049,0.000008457056,0.000047250604],"genre_scores_gemma":[0.9983423,0.0009106799,0.0004029792,0.00012928162,0.000032736363,0.000021255662,0.00012865977,0.000012116687,0.000020022264],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987421,0.00012669717,0.00039686597,0.0004786923,0.00012487706,0.00013075431],"domain_scores_gemma":[0.99947995,0.000025136935,0.000052009673,0.0002805278,0.000032442436,0.00012993945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043324206,0.00013357027,0.0001985023,0.00005220817,0.000032552114,0.000007721101,0.000115528404,0.00008465613,0.000019190851],"category_scores_gemma":[0.00014999525,0.00010413457,0.000038797687,0.0001007754,0.00021595688,0.000005008614,0.0001673996,0.00009344276,0.00000102619],"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":[0.0001905804,0.00008416255,0.0535483,0.00047136846,0.00004191408,0.000028909717,0.0004295144,0.00003039013,0.9398679,0.00006570155,0.000043631626,0.005197634],"study_design_scores_gemma":[0.00045441143,0.00029197638,0.99188787,0.00006502036,0.000022256967,0.000017695307,0.000021473945,0.00044229152,0.0035566606,0.0009939595,0.0021104186,0.00013594318],"about_ca_topic_score_codex":0.000034946213,"about_ca_topic_score_gemma":0.000032568856,"teacher_disagreement_score":0.9383396,"about_ca_system_score_codex":0.000013621066,"about_ca_system_score_gemma":0.00007977614,"threshold_uncertainty_score":0.42464846},"labels":[],"label_agreement":null},{"id":"W4405541073","doi":"10.1186/s13073-024-01413-5","title":"Patterns of genomic instability in &gt; 2000 patients with ovarian cancer across six clinical trials evaluating olaparib","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; AstraZeneca","keywords":"Olaparib; Medicine; Oncology; Ovarian cancer; Interquartile range; Internal medicine; Cancer; PALB2; Cancer research; Gastroenterology; Germline mutation; Genetics; Mutation; Poly ADP ribose polymerase; Gene; Biology; Polymerase","score_opus":0.16688680550916507,"score_gpt":0.4903623368881579,"score_spread":0.3234755313789928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405541073","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":[0.9883881,0.0049007195,0.000269922,0.0026807804,0.0013358116,0.001585482,0.00037850396,0.00006439924,0.0003962677],"genre_scores_gemma":[0.99634707,0.00050684763,0.00029823266,0.0008270757,0.0012408646,0.00017775873,0.00016640798,0.000057340076,0.00037838198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995093,0.0007131098,0.0022548924,0.0006918698,0.00077692483,0.00047021275],"domain_scores_gemma":[0.997306,0.00096831686,0.0004162505,0.0007772552,0.0002926833,0.000239508],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009787404,0.00029074773,0.0015220672,0.00020624316,0.00004278453,0.000013751594,0.00021516158,0.0001785738,0.0029446096],"category_scores_gemma":[0.0012491748,0.0001975253,0.00015950197,0.00047855763,0.00028300186,0.000094049414,0.000079699705,0.0005770447,0.00002706544],"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":[0.0029176567,0.00039333128,0.8996192,0.00077415636,0.00038764847,0.000040409548,0.007456652,0.00010206587,0.014164509,0.000023108592,0.00029820393,0.073823065],"study_design_scores_gemma":[0.018388754,0.0019307452,0.9683513,0.0019163169,0.00025810683,0.0000071213735,0.0003207373,0.00033463034,0.00016819462,0.000116097246,0.007991254,0.00021672336],"about_ca_topic_score_codex":0.00084318506,"about_ca_topic_score_gemma":0.00040921787,"teacher_disagreement_score":0.07360634,"about_ca_system_score_codex":0.0009267925,"about_ca_system_score_gemma":0.0011398165,"threshold_uncertainty_score":0.9979668},"labels":[],"label_agreement":null},{"id":"W4405919899","doi":"10.1186/s13073-024-01423-3","title":"Interpretation and classification of FBN1 variants associated with Marfan syndrome: consensus recommendations from the Clinical Genome Resource’s FBN1 variant curation expert panel","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"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 Toronto; University of Ottawa; Children's Hospital of Eastern Ontario","funders":"National Human Genome Research Institute","keywords":"Human genetics; Computational biology; Marfan syndrome; Genome; Consensus conference; Genetics; Medicine; Bioinformatics; Biology; Gene; Internal medicine","score_opus":0.06982582029529497,"score_gpt":0.35768440574660737,"score_spread":0.2878585854513124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405919899","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":[0.9618762,0.006001522,0.013739245,0.016609006,0.00017556129,0.0006606952,0.00018192806,0.00002642235,0.0007294252],"genre_scores_gemma":[0.9965595,0.0005509066,0.00019229596,0.00020811833,0.00013655359,0.00004377173,0.0020283894,0.000023883595,0.00025655393],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99833894,0.00044176032,0.00043682157,0.00041723228,0.00020847189,0.00015680247],"domain_scores_gemma":[0.998783,0.0005007658,0.00014420878,0.00032954634,0.0001741912,0.00006830812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009425155,0.00013637605,0.0002180837,0.000071518676,0.00009656889,0.000025278041,0.00015170164,0.000121214536,0.00014647233],"category_scores_gemma":[0.0010381339,0.000093552124,0.000034398447,0.00022937996,0.00031844756,0.000007698589,0.00006864347,0.00018128242,0.000005843805],"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":[0.001140803,0.00032027368,0.0054056607,0.0000871763,0.0018312491,0.00007724588,0.012013899,0.000039857074,0.9025185,0.0008038032,0.0063373735,0.06942414],"study_design_scores_gemma":[0.002416193,0.0022361786,0.9461384,0.00043958292,0.00022997572,0.0001019236,0.004972269,0.0076617096,0.00029465387,0.0008297447,0.03431524,0.00036412265],"about_ca_topic_score_codex":0.00015543893,"about_ca_topic_score_gemma":0.00023521078,"teacher_disagreement_score":0.9407328,"about_ca_system_score_codex":0.00003637699,"about_ca_system_score_gemma":0.00011459828,"threshold_uncertainty_score":0.3814945},"labels":[],"label_agreement":null},{"id":"W4406490194","doi":"10.1186/s13073-025-01432-w","title":"Meta-analyses of mouse and human prostate single-cell transcriptomes reveal widespread epithelial plasticity in tissue regression, regeneration, and cancer","year":2025,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"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":"York University; Stand Up To Cancer; National Cancer Institute; Prostate Cancer Foundation; National Institutes of Health; National Science Foundation","keywords":"Prostate cancer; Prostate; Transcriptome; Biology; Cell type; Hyperplasia; Cell; Regeneration (biology); Cancer research; Cancer; Endocrinology; Cell biology; Gene expression; Gene; Genetics","score_opus":0.1070692905945255,"score_gpt":0.36197909243098825,"score_spread":0.2549098018364627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406490194","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":[0.011743161,0.98672277,0.00015977895,0.00009181939,0.00013169425,0.00067937694,0.00036511422,0.000008046335,0.000098221506],"genre_scores_gemma":[0.004500864,0.988399,0.00019737295,0.00007034015,0.0002447809,0.00010172273,0.0005414318,0.000042718224,0.005901716],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764884,0.00024516403,0.0009868867,0.00066714967,0.00019523753,0.00025670743],"domain_scores_gemma":[0.99900484,0.00007599754,0.00037661652,0.00030662643,0.00012348469,0.00011243538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028777274,0.0005058681,0.0021687169,0.00026512198,0.00008170289,0.000015029161,0.00019561121,0.00033568693,0.00003698975],"category_scores_gemma":[0.00009243217,0.00033372617,0.00019012252,0.00022448278,0.0003174543,0.0000056175886,0.00006006344,0.00021869362,4.0792324e-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":[0.000050980576,0.00009632289,0.000035871377,0.010862213,0.000888388,0.00000706743,0.0001623098,0.000009335633,0.95008224,0.000004733008,0.0003212059,0.03747934],"study_design_scores_gemma":[0.002134589,0.0011576801,0.000029978139,0.00538044,0.017421195,0.000019441175,0.000041575393,0.0000022777047,0.23616432,0.00003653156,0.73684853,0.0007634243],"about_ca_topic_score_codex":0.0005284896,"about_ca_topic_score_gemma":0.0003629019,"teacher_disagreement_score":0.7365273,"about_ca_system_score_codex":0.00002860568,"about_ca_system_score_gemma":0.00016421845,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W4406842929","doi":"10.1186/s13073-025-01430-y","title":"A new method for detecting mixed Mycobacterium tuberculosis infection and reconstructing constituent strains provides insights into transmission","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Mycobacterium tuberculosis; Transmission (telecommunications); Whole genome sequencing; Biology; Computational biology; Strain (injury); Population; Sequence (biology); Genetics; Tuberculosis; Genome; Computer science; Medicine; Gene","score_opus":0.028586550478129854,"score_gpt":0.35171177205417387,"score_spread":0.323125221576044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406842929","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":[0.5452614,0.005217866,0.42623484,0.019613843,0.00051882997,0.0016192336,0.0000029579373,0.00013359053,0.0013974394],"genre_scores_gemma":[0.8604582,0.0022665302,0.1338498,0.0018146149,0.0008805788,0.00015638559,0.00007484029,0.00003564236,0.00046343886],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800295,0.00022038796,0.0006210503,0.00054067746,0.00016881674,0.00044612237],"domain_scores_gemma":[0.9983244,0.0007263478,0.00011443826,0.0002364287,0.00017486796,0.00042354653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011389819,0.00025122095,0.0007384105,0.00052746315,0.0002826796,0.000016066779,0.00006412515,0.00020182061,0.000075660224],"category_scores_gemma":[0.002271124,0.00018505497,0.00010754862,0.00041699276,0.00019216118,0.0000971018,0.00004975225,0.0003650355,0.0000022275506],"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":[0.0003136798,0.000026544245,0.008162485,0.0011659206,0.00027153196,0.000008217473,0.0012470769,0.0000079898555,0.4007785,0.00045699163,0.0005370791,0.587024],"study_design_scores_gemma":[0.033364024,0.008857638,0.32176912,0.0076783695,0.003417929,0.0015032311,0.0057744784,0.026745614,0.08181054,0.025514534,0.48197734,0.0015871992],"about_ca_topic_score_codex":0.0017786236,"about_ca_topic_score_gemma":0.0002900802,"teacher_disagreement_score":0.58543676,"about_ca_system_score_codex":0.00017796809,"about_ca_system_score_gemma":0.00031702663,"threshold_uncertainty_score":0.7546323},"labels":[],"label_agreement":null},{"id":"W4406993196","doi":"10.1186/s13073-025-01428-6","title":"Intricate interplay of CRISPR-Cas systems, anti-CRISPR proteins, and antimicrobial resistance genes in a globally successful multi-drug resistant Klebsiella pneumoniae clone","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"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 Institute of Allergy and Infectious Diseases","keywords":"CRISPR; Klebsiella pneumoniae; Biology; Drug resistance; Computational biology; Gene; clone (Java method); Human genetics; Antimicrobial; Multi drug resistant; Antibiotic resistance; Antimicrobial drug; Genetics; Microbiology; Escherichia coli; Bacteria","score_opus":0.00516529554435117,"score_gpt":0.2874739684190762,"score_spread":0.282308672874725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406993196","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":[0.89828485,0.0661703,0.032591175,0.0012737302,0.0003960055,0.00081784074,0.00006995362,0.000023424629,0.00037270592],"genre_scores_gemma":[0.9933688,0.0042436253,0.0009725655,0.00011786986,0.00014444253,0.000033367683,0.000058196132,0.000025079189,0.0010360621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981381,0.00008782813,0.0006768498,0.0005538443,0.00017322037,0.00037009857],"domain_scores_gemma":[0.9991076,0.000024531751,0.00015310541,0.0004818481,0.00014023687,0.00009269282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050014583,0.00028411616,0.0005412983,0.00024495565,0.000056406545,0.000021332477,0.00034435684,0.00014199404,0.000004824878],"category_scores_gemma":[0.0001300155,0.0002559492,0.0000506856,0.00039118496,0.00020230794,0.000006033924,0.00022961223,0.00014970289,0.0000011816932],"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":[0.0002128701,0.00006917269,0.0067530526,0.0009347638,0.0000758415,0.00003337944,0.00022378596,0.00027641177,0.99017596,0.00005863676,0.00087801344,0.00030813826],"study_design_scores_gemma":[0.0070858933,0.0005045364,0.07541301,0.0024115306,0.00020748637,0.000065875465,0.001302711,0.00069864356,0.8460817,0.000035394263,0.06522553,0.00096770463],"about_ca_topic_score_codex":0.00047033746,"about_ca_topic_score_gemma":0.0006476624,"teacher_disagreement_score":0.14409424,"about_ca_system_score_codex":0.00004309373,"about_ca_system_score_gemma":0.000088885536,"threshold_uncertainty_score":0.9999893},"labels":[],"label_agreement":null},{"id":"W4407241288","doi":"10.1186/s13073-025-01433-9","title":"Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; Concordia University; McGill University","funders":"Wilhelmina Kinderziekenhuis; University of Sussex","keywords":"Human genetics; Pathophysiology; Flow cytometry; Computational biology; Medicine; Systems biology; Bioinformatics; Biology; Pathology; Genetics; Immunology; Gene","score_opus":0.019571737156857553,"score_gpt":0.2681848002934704,"score_spread":0.24861306313661286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407241288","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":[0.9609785,0.0006179537,0.036120288,0.0012151055,0.000119972596,0.0004819972,0.00007706006,0.00003631491,0.00035278883],"genre_scores_gemma":[0.99420553,0.000023140996,0.0032259875,0.0023147329,0.000050825016,0.00005243657,0.00002750968,0.000020924144,0.000078920675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99774605,0.00038351206,0.00042987757,0.00067776686,0.00036196588,0.00040081117],"domain_scores_gemma":[0.9987177,0.0004817819,0.00017683531,0.00045321975,0.00008033603,0.000090125024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003429576,0.00023967882,0.00046065953,0.0006432549,0.0000788588,0.000010526337,0.0004183762,0.000035767414,0.00012574923],"category_scores_gemma":[0.00079808483,0.00018840832,0.00003515587,0.0016478921,0.00047812544,0.00005209067,0.00008243288,0.00016815618,0.000004712685],"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":[0.00006781256,0.000080319674,0.030598035,0.00007430742,0.0000067722303,0.00007180844,0.00015501348,0.009833861,0.9576553,0.000107060936,0.000035263,0.0013144445],"study_design_scores_gemma":[0.0022328899,0.0002589535,0.12734708,0.00023973733,0.00004349967,0.0000015077449,0.00018501791,0.006116097,0.8625821,0.000641528,0.00014681043,0.00020479113],"about_ca_topic_score_codex":0.00006597116,"about_ca_topic_score_gemma":0.0000047220415,"teacher_disagreement_score":0.09674905,"about_ca_system_score_codex":0.000031983778,"about_ca_system_score_gemma":0.00018230782,"threshold_uncertainty_score":0.76830685},"labels":[],"label_agreement":null},{"id":"W4407876100","doi":"10.1186/s13073-025-01436-6","title":"Correction: Intricate interplay of CRISPR-Cas systems, anti-CRISPR proteins, and antimicrobial resistance genes in a globally successful multi-drug resistant Klebsiella pneumoniae clone","year":2025,"lang":"en","type":"erratum","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"CRISPR; Klebsiella pneumoniae; Computational biology; Biology; clone (Java method); Gene; Drug resistance; Human genetics; Antimicrobial; Genetics; Microbiology; Escherichia coli","score_opus":0.005427191960173876,"score_gpt":0.27961353031249203,"score_spread":0.27418633835231815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407876100","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064588726,0.7865657,0.0653311,0.0037459193,0.06140806,0.005873283,0.0013166757,0.00017543379,0.010995082],"genre_scores_gemma":[0.65212893,0.08567933,0.0013043907,0.000328542,0.004411599,0.00023007924,0.0023914028,0.00022248308,0.25330326],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967251,0.00016129426,0.0011551309,0.0010479585,0.00035472962,0.0005557926],"domain_scores_gemma":[0.99823076,0.00003822841,0.00044853354,0.00082070945,0.00030746878,0.00015430893],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006166332,0.0006399946,0.0012131301,0.00046042685,0.000091272515,0.000041430732,0.0005963486,0.0005832675,0.000015804068],"category_scores_gemma":[0.0002662848,0.00060193567,0.000116034054,0.0005362478,0.0002849575,0.0000071769673,0.00039086453,0.00062521297,0.0000018591419],"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":[0.00049848674,0.00016450173,0.0010769118,0.0056487652,0.00033393854,0.00015791834,0.00042826036,0.0003922918,0.5917425,0.000012126207,0.39885175,0.0006925576],"study_design_scores_gemma":[0.0038311458,0.00060953863,0.0078839855,0.007480174,0.00040045884,0.00014947655,0.0007730787,0.0006562838,0.046430305,0.0000061331743,0.9303745,0.001404903],"about_ca_topic_score_codex":0.0009957106,"about_ca_topic_score_gemma":0.0019048705,"teacher_disagreement_score":0.70088637,"about_ca_system_score_codex":0.000112230715,"about_ca_system_score_gemma":0.0003376796,"threshold_uncertainty_score":0.9996432},"labels":[],"label_agreement":null},{"id":"W4408118805","doi":"10.1186/s13073-025-01440-w","title":"Non-coding cis-regulatory variants in HK1 cause congenital hyperinsulinism with variable disease severity","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"Wellcome Trust; Wellcome","keywords":"Hyperinsulinism; Congenital hyperinsulinism; Proband; Medicine; Cohort; Hyperinsulinemic hypoglycemia; Hyperinsulinemia; Disease; Hypoglycemia; Internal medicine; Genetics; Bioinformatics; Biology; Insulin; Mutation; Gene; Insulin resistance","score_opus":0.01187150807788435,"score_gpt":0.26373264041284905,"score_spread":0.2518611323349647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408118805","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":[0.9681287,0.0011996548,0.0020316176,0.0031542226,0.0006323082,0.0008874331,0.000038284903,0.000082603816,0.023845198],"genre_scores_gemma":[0.9927198,0.00012579812,0.00040757365,0.0029338035,0.0002830207,0.00008045677,0.00010159506,0.000029661293,0.0033182532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978448,0.00003741214,0.000565998,0.00055554556,0.00042677327,0.0005694496],"domain_scores_gemma":[0.9985506,0.00011682299,0.00006224659,0.00057814637,0.00020306149,0.0004891416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031303777,0.0003236198,0.0007612631,0.0003152477,0.00012623922,0.000015617448,0.000172193,0.0001467625,0.0005269833],"category_scores_gemma":[0.00024494057,0.00024288548,0.00006579198,0.00057862495,0.0003081893,0.00010101303,0.000084252606,0.0004017947,0.00002764644],"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":[0.03427215,0.003996742,0.8491193,0.0037903944,0.0028342924,0.011897427,0.0062519945,0.00017138242,0.053472433,0.019510088,0.003023757,0.011660028],"study_design_scores_gemma":[0.030999416,0.0014621713,0.9435292,0.0017317984,0.0013165642,0.000119368495,0.00063092227,0.0019175179,0.00008052856,0.0011586519,0.016439628,0.0006142367],"about_ca_topic_score_codex":0.00020043083,"about_ca_topic_score_gemma":0.000022672022,"teacher_disagreement_score":0.09440988,"about_ca_system_score_codex":0.00016336782,"about_ca_system_score_gemma":0.00046332553,"threshold_uncertainty_score":0.99045825},"labels":[],"label_agreement":null},{"id":"W4408533172","doi":"10.1186/s13073-025-01447-3","title":"Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Respiratory viral infections research","field":"Medicine","cited_by":14,"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 British Columbia; St. Joseph's Hospital; McMaster University; University of Waterloo","funders":"Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Pathogen; Biology; Rhinovirus; Antibiotics; Immune system; Etiology; Virology; Immunology; Medicine; Microbiology; Virus; Pathology","score_opus":0.027037667964081025,"score_gpt":0.3424216412101402,"score_spread":0.31538397324605916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408533172","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":[0.973335,0.023635698,0.0002150761,0.0008723303,0.00018648272,0.0009696701,0.000033377753,0.000061905674,0.00069040275],"genre_scores_gemma":[0.9956096,0.0018491534,0.0002995626,0.0010516463,0.00031646196,0.00005959904,0.000013611612,0.00002916778,0.0007712275],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99786735,0.0004018735,0.00059118035,0.00045814848,0.00036461,0.00031681883],"domain_scores_gemma":[0.99869305,0.00028923652,0.0001273008,0.00039017986,0.00030831108,0.00019189667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019366952,0.00023567626,0.0006277277,0.0013535214,0.00023415285,0.000012769958,0.00007271118,0.00019824842,0.000087764376],"category_scores_gemma":[0.0008464248,0.00018891397,0.00006813511,0.0010646778,0.00032414158,0.00011906334,0.00010815884,0.00045963813,0.0000041074163],"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":[0.001193137,0.00004452496,0.12903547,0.00048683592,0.00019046583,0.000053906908,0.00031624926,0.0000012066172,0.86748624,0.00018647371,0.00028399468,0.00072147674],"study_design_scores_gemma":[0.0034807094,0.0022170367,0.96844685,0.00021070593,0.0010127824,0.000066199726,0.000104883584,0.000021380632,0.017054908,0.00019069553,0.006998465,0.00019535942],"about_ca_topic_score_codex":0.000056366585,"about_ca_topic_score_gemma":0.000006540206,"teacher_disagreement_score":0.8504313,"about_ca_system_score_codex":0.00010651596,"about_ca_system_score_gemma":0.00024477654,"threshold_uncertainty_score":0.7703688},"labels":[],"label_agreement":null},{"id":"W4409408387","doi":"10.1186/s13073-025-01451-7","title":"Epigenetic timing effects on child developmental outcomes: a longitudinal meta-regression of findings from the Pregnancy And Childhood Epigenetics Consortium","year":2025,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"dNaM; Epigenetics; Meta-analysis; Medicine; DNA methylation; Allostatic load; Psychopathology; Clinical psychology; Demography; Biology; Genetics; Internal medicine; Gerontology","score_opus":0.04441725198628317,"score_gpt":0.32016615958953243,"score_spread":0.27574890760324927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409408387","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":[0.0049145683,0.9925846,0.00032852415,0.00012967167,0.00030451347,0.0012392682,0.00013551748,0.000009133116,0.00035420767],"genre_scores_gemma":[0.010197701,0.9875744,0.00059329986,0.0001155473,0.0002480365,0.00014512286,0.0008156051,0.000054725984,0.00025553346],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973119,0.0002895934,0.0009041636,0.00080016215,0.00035728872,0.0003369219],"domain_scores_gemma":[0.9980655,0.00061223377,0.0004873674,0.00063791435,0.00007406386,0.00012293685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037037634,0.00073356973,0.002025842,0.00016237759,0.0002006757,0.000016290525,0.0004436786,0.00040112186,0.000046974586],"category_scores_gemma":[0.0006343542,0.0003795838,0.00043236258,0.00022877392,0.0002170061,0.0000021562755,0.00033017778,0.0003187561,0.000004882327],"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":[0.000028404027,0.00018183902,0.003978583,0.009066715,0.006431118,0.000019742405,0.00048148673,0.000011132999,0.0020029105,0.00002637254,0.00012265569,0.97764903],"study_design_scores_gemma":[0.0036962698,0.0025750569,0.084764555,0.092631325,0.02909424,0.00003651942,0.00012935953,0.0000025157485,0.013655111,0.00028812277,0.77095795,0.0021689616],"about_ca_topic_score_codex":0.000026872936,"about_ca_topic_score_gemma":0.000015073451,"teacher_disagreement_score":0.9754801,"about_ca_system_score_codex":0.000032820037,"about_ca_system_score_gemma":0.0002074675,"threshold_uncertainty_score":0.9998656},"labels":[],"label_agreement":null},{"id":"W4410122355","doi":"10.1186/s13073-025-01480-2","title":"Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID platform","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Chan Zuckerberg Initiative; National Institute of Allergy and Infectious Diseases; McMaster University","keywords":"Resistome; Metagenomics; Antibiotic resistance; Workflow; Computational biology; Biodefense; Genome; Bioinformatics; Biology; Gene; Computer science; Genetics; Microbiology; Antibiotics; Database; Mobile genetic elements","score_opus":0.006083127524444403,"score_gpt":0.23015438212441583,"score_spread":0.22407125459997143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410122355","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":[0.98251134,0.0022452443,0.0130951125,0.0006767424,0.000117671414,0.00039303376,0.000025113479,0.000007937291,0.0009278115],"genre_scores_gemma":[0.99650645,0.0002806048,0.0004881958,0.00048451012,0.00017626969,0.0000053682124,0.00004796605,0.000016474423,0.0019941528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919283,0.00003438071,0.00021080197,0.00029203136,0.00009608493,0.0001738451],"domain_scores_gemma":[0.9992926,0.000048656068,0.0001333374,0.0003932175,0.00009592734,0.000036248628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023741923,0.00014625824,0.00022119365,0.000039912018,0.00013262455,0.000018041032,0.0003080625,0.000088140965,0.000009469436],"category_scores_gemma":[0.000066822664,0.00009141623,0.000021700263,0.00014655292,0.0004140706,0.0000030138006,0.00012988817,0.00006878271,6.4262866e-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":[0.0008804718,0.000017891456,0.0009936094,0.000102582846,0.000057255034,0.000006681247,0.000056637633,0.00013995713,0.9952734,0.000023869445,0.00033343947,0.0021141886],"study_design_scores_gemma":[0.0033816698,0.0009301193,0.010917002,0.00032915844,0.00020934237,0.00003626235,0.00068227487,0.00012943437,0.66483426,0.000044098928,0.31813982,0.00036651685],"about_ca_topic_score_codex":0.00004269591,"about_ca_topic_score_gemma":0.0004899029,"teacher_disagreement_score":0.33043912,"about_ca_system_score_codex":0.000014643411,"about_ca_system_score_gemma":0.00007620181,"threshold_uncertainty_score":0.37278458},"labels":[],"label_agreement":null},{"id":"W4410188821","doi":"10.1186/s13073-025-01481-1","title":"Early-life and concurrent predictors of the healthy adolescent microbiome in a cohort study","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences","keywords":"Microbiome; Metagenomics; Firmicutes; Biology; Cohort study; Longitudinal study; Alpha diversity; Diversity (politics); Demography; Medicine; Ecology; Bioinformatics; Biodiversity; Genetics; Internal medicine; Pathology","score_opus":0.008175589064204772,"score_gpt":0.2732474921171009,"score_spread":0.26507190305289613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410188821","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":[0.9923483,0.004722413,0.000023745777,0.0014618952,0.00037014266,0.00093430927,0.000014297252,0.0000033891818,0.0001215025],"genre_scores_gemma":[0.9980838,0.00045324652,0.00000429942,0.0011261451,0.0000936096,0.000016133668,0.000019388597,0.000006553649,0.0001968813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999027,0.000095794065,0.00034048507,0.00026407116,0.00008073094,0.0001919113],"domain_scores_gemma":[0.99950665,0.0000075042303,0.0000846122,0.00028352896,0.00004446322,0.00007320965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036608038,0.00011209541,0.00024941616,0.000064415355,0.00004641022,0.0000024585047,0.00015396874,0.000065012384,0.000008716318],"category_scores_gemma":[0.00004811844,0.00007535634,0.000025266245,0.00018999164,0.00017597804,8.434523e-7,0.00014531509,0.00011755208,6.79581e-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":[0.000050792045,0.00014860218,0.7486336,0.00010995978,0.000036441135,5.4456086e-7,0.00032204317,8.7864737e-7,0.2496419,0.000010107982,0.00091059424,0.00013454175],"study_design_scores_gemma":[0.0017938648,0.00054044166,0.9878565,0.00007590904,0.000026303589,0.000001954913,0.00027877008,8.488404e-7,0.00054390647,0.0000022870042,0.008823772,0.00005543942],"about_ca_topic_score_codex":0.00020298446,"about_ca_topic_score_gemma":0.00016773364,"teacher_disagreement_score":0.24909799,"about_ca_system_score_codex":0.000028630802,"about_ca_system_score_gemma":0.00017452097,"threshold_uncertainty_score":0.30729425},"labels":[],"label_agreement":null},{"id":"W4411901119","doi":"10.1186/s13073-025-01494-w","title":"Clinical applications of and molecular insights from RNA sequencing in a rare disease cohort","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Children's Hospital of Eastern Ontario; Mental Health Research Canada; Ted Rogers Centre for Heart Research; University of Toronto; SickKids Foundation; Hospital for Sick Children; Mount Sinai Hospital; Provincial Health Services Authority","funders":"Sickkids Research Institute; Hospital for Sick Children","keywords":"Genetics; Biology; Computational biology; RNA; DNA sequencing; splice; Gene; Alternative splicing; RNA splicing; Genetic testing; Intron; Gene isoform","score_opus":0.008933979026745581,"score_gpt":0.28479634974900503,"score_spread":0.27586237072225944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411901119","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":[0.97485226,0.021988822,0.0017969243,0.00021558057,0.00004177521,0.000288029,0.000041330408,0.0000036567762,0.00077161856],"genre_scores_gemma":[0.99746215,0.0011781611,0.00018066949,0.00062554545,0.0000995367,0.00004351854,0.0003229447,0.000007140635,0.000080355225],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99920076,0.0000402357,0.00030888867,0.00029387124,0.000065426335,0.00009081815],"domain_scores_gemma":[0.9994517,0.000020279096,0.00006025041,0.00030556557,0.000051168125,0.0001110312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095109026,0.00008962121,0.0001992874,0.0000701651,0.000024175459,0.0000029180862,0.00011520475,0.00006243431,0.000010384756],"category_scores_gemma":[0.00008680436,0.00007631653,0.000040944215,0.00011146606,0.00015021881,0.0000011510886,0.00009175205,0.00005475543,8.326384e-7],"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":[0.00021315887,0.00012893847,0.27193335,0.00015914884,0.00022840298,0.000087152024,0.00015163829,0.00012995698,0.7181456,0.0011323637,0.00029481243,0.0073954645],"study_design_scores_gemma":[0.0027086495,0.00020416483,0.9485592,0.0002064835,0.00030282402,0.0000024878748,0.0005368304,0.0003122633,0.005688493,0.0071144872,0.034045104,0.00031896142],"about_ca_topic_score_codex":0.00010748363,"about_ca_topic_score_gemma":0.000030769083,"teacher_disagreement_score":0.7124571,"about_ca_system_score_codex":0.000015315376,"about_ca_system_score_gemma":0.0001746575,"threshold_uncertainty_score":0.31120977},"labels":[],"label_agreement":null},{"id":"W4414614684","doi":"10.1186/s13073-025-01529-2","title":"Adult genomic medicine: lessons from a multisite study of 2700 patients","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"King Saud bin Abdulaziz University for Health Science; King Khalid University; King Salman Center for Disability Research; University of Jeddah; Umm Al-Qura University; Imam Abdulrahman Bin Faisal University; Ministry of National Guard Health Affairs; Memorial University of Newfoundland; King Khaled Eye Specialist Hospital; Faculty of Medicine, Memorial University of Newfoundland; King Abdulaziz University; King Saud University; King Faisal Specialist Hospital and Research Centre","keywords":"Human genetics; Genomics; Precision medicine; Genomic medicine; Genome Biology; Systems biology; MEDLINE; Personalized medicine","score_opus":0.007405557295848124,"score_gpt":0.2741184832435521,"score_spread":0.26671292594770396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414614684","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":[0.99410313,0.0031343533,0.00011190036,0.0005984477,0.00039430312,0.0004548837,0.00010169831,0.00000952149,0.0010917593],"genre_scores_gemma":[0.997156,0.0004286599,0.000060336923,0.0006851084,0.0003227703,0.000026292884,0.00066603627,0.00001952078,0.0006352728],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862796,0.00006658616,0.00045950475,0.00045057916,0.00018125222,0.00021411433],"domain_scores_gemma":[0.9988889,0.000026188358,0.00015649236,0.0005672138,0.0002505676,0.00011061848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187986,0.00020638775,0.0003802897,0.00012801857,0.00007682752,0.0000036096449,0.00033106684,0.00009006964,0.00011535357],"category_scores_gemma":[0.0001736898,0.0001593662,0.00005595986,0.00015685246,0.00016086102,0.0000018544791,0.00018992781,0.000074957796,0.0000066903644],"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":[0.00058932137,0.0015197909,0.34585354,0.00010724197,0.0007942556,0.000025497528,0.0029463423,0.000084408355,0.6298057,0.000100344136,0.009712391,0.008461161],"study_design_scores_gemma":[0.008919273,0.0020796352,0.9676397,0.00012724915,0.00034626698,0.0000012068497,0.0038914112,0.000025544448,0.0015612333,0.00022112594,0.014918088,0.00026926375],"about_ca_topic_score_codex":0.0013261252,"about_ca_topic_score_gemma":0.00034252752,"teacher_disagreement_score":0.62824446,"about_ca_system_score_codex":0.000021259708,"about_ca_system_score_gemma":0.000051473475,"threshold_uncertainty_score":0.64987653},"labels":[],"label_agreement":null},{"id":"W4415206185","doi":"10.1186/s13073-025-01547-0","title":"A human YEATS4 variant confers resistance to TST and IGRA conversion despite Mycobacterium tuberculosis exposure","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Agence Nationale de la Recherche","keywords":"Mycobacterium tuberculosis; Phenotype; Human genetics; Tuberculosis; Chromosome; Transmission (telecommunications)","score_opus":0.00654179356964448,"score_gpt":0.22836399885250847,"score_spread":0.22182220528286398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415206185","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":[0.9297115,0.05328008,0.00033905974,0.005928585,0.00096361747,0.00044365966,0.000025870151,0.00008714801,0.009220485],"genre_scores_gemma":[0.9835135,0.00027605754,0.000015723894,0.0019037488,0.000009219849,0.000025179173,0.00011615714,0.000011966357,0.014128446],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872565,0.000112412185,0.0003463602,0.00038872176,0.000045448145,0.0003813823],"domain_scores_gemma":[0.9994063,0.00005356707,0.000069979345,0.00037347843,0.00007866597,0.000018001303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342306,0.00021743718,0.00039338632,0.00024135463,0.00039253122,0.000012962229,0.00022556272,0.0001707555,0.00062935875],"category_scores_gemma":[0.00006920102,0.00018354398,0.00004774364,0.00031232173,0.00039588806,0.000050384853,0.00011828513,0.00023076277,0.00011681908],"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":[0.00017627949,0.000060530612,0.0006694007,0.00012174657,0.00016398373,0.0000142493145,0.002949905,0.0000017744482,0.9894453,0.0027228796,0.0021340598,0.0015398468],"study_design_scores_gemma":[0.0054106875,0.00068672927,0.23337053,0.0005507416,0.00026043775,0.000032480068,0.004535958,7.949561e-7,0.012655971,0.0003455865,0.7416704,0.0004796505],"about_ca_topic_score_codex":0.00020612979,"about_ca_topic_score_gemma":0.000017586315,"teacher_disagreement_score":0.97678936,"about_ca_system_score_codex":0.000046537385,"about_ca_system_score_gemma":0.000044108885,"threshold_uncertainty_score":0.74847066},"labels":[],"label_agreement":null},{"id":"W4415497302","doi":"10.1186/s13073-025-01563-0","title":"Whole-genome sequencing reveals individual and cohort level insights into chromosome 9p syndromes","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Human Genome Research Institute; National Institute of Mental Health; National Institutes of Health; Washington University in St. Louis; Simons Foundation","keywords":"Human genetics; Cohort; Chromosome; Genomics; Cohort study; Genome Biology; Disease","score_opus":0.021259794557251587,"score_gpt":0.24931046696464823,"score_spread":0.22805067240739665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415497302","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":[0.9830948,0.011392277,0.00086305744,0.0012411724,0.0002472177,0.00033674293,0.000080924925,0.000025181293,0.0027185893],"genre_scores_gemma":[0.9895144,0.00076486764,0.0005323067,0.0010256667,0.00041288545,0.00005199299,0.0009009343,0.000022748858,0.006774164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99842966,0.000073557625,0.00045071606,0.0005147395,0.00020171604,0.00032962504],"domain_scores_gemma":[0.99916923,0.000023934466,0.00011458103,0.00044303897,0.00011379088,0.00013539664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036272753,0.00027050302,0.00038923894,0.00019132457,0.0002566838,0.00003220442,0.0002955026,0.00018393234,0.000083366496],"category_scores_gemma":[0.00008754083,0.00023266999,0.000052385752,0.00022491491,0.0002649884,0.000010655305,0.000297168,0.00014096514,0.000016469483],"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":[0.000019854599,0.000024776467,0.0102328295,0.00016072797,0.00035862153,0.000021289192,0.0017929146,0.000036720245,0.98517025,0.0011475489,0.00061272795,0.00042172935],"study_design_scores_gemma":[0.0035795486,0.0011086337,0.6649432,0.0003199971,0.0005712225,0.00032309527,0.004311609,0.000027016264,0.016830299,0.006904758,0.29991168,0.0011689286],"about_ca_topic_score_codex":0.00012078766,"about_ca_topic_score_gemma":0.000057228484,"teacher_disagreement_score":0.96834,"about_ca_system_score_codex":0.00008213712,"about_ca_system_score_gemma":0.00019012495,"threshold_uncertainty_score":0.9488007},"labels":[],"label_agreement":null},{"id":"W4416850554","doi":"10.1186/s13073-025-01551-4","title":"Typhi Mykrobe: fast and accurate lineage identification and antimicrobial resistance genotyping directly from sequence reads for the typhoid fever agent Salmonella Typhi","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Health and Medical Research Council; Australian Research Council; Centers for Disease Control and Prevention; Bill and Melinda Gates Foundation; International Centre for Diarrhoeal Disease Research, Bangladesh; University of Oxford; National Institute for Health Research Health Protection Research Unit; University of Warwick; National Institutes of Health; U.S. Department of Health and Human Services; Indian Council of Medical Research; Marie Curie; Department of Health and Social Care; NIHR Oxford Biomedical Research Centre; Wellcome Trust; National Institute for Health and Care Research","keywords":"Salmonella typhi; Genotyping; Typhoid fever; Genome; Identification (biology); Lineage (genetic); Whole genome sequencing","score_opus":0.03717164378493771,"score_gpt":0.2753872556556512,"score_spread":0.2382156118707135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416850554","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":[0.9709744,0.010347732,0.0012920717,0.015928727,0.0004820262,0.00050719286,0.00013766797,0.000048723858,0.00028149676],"genre_scores_gemma":[0.9914293,0.003167338,0.0001806477,0.0018307677,0.00058130216,0.000032665906,0.00020614087,0.0000022510826,0.0025695465],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987206,0.00010713279,0.0003650382,0.00046384626,0.00008234361,0.0002610441],"domain_scores_gemma":[0.99867994,0.00088139455,0.00015544386,0.00013097424,0.0000852207,0.00006702257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063809595,0.00017223164,0.00029395218,0.00001986851,0.000350287,0.000040129777,0.00023796453,0.00010891289,0.00006030152],"category_scores_gemma":[0.00024080693,0.000066147084,0.00003838595,0.00024423134,0.00027168565,0.00005617903,0.00009115338,0.000120367054,0.000006969328],"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":[0.000108312706,0.000011671048,0.0021704412,0.00002692341,0.000042967218,0.0000025357624,0.00023207744,0.0000032461444,0.97638774,0.0002448831,0.0022819217,0.018487293],"study_design_scores_gemma":[0.0008424369,0.00013240769,0.8129071,0.00023039304,0.00025052176,0.0000131353245,0.00076658995,0.00047668544,0.013596489,0.0024474626,0.16791598,0.00042079284],"about_ca_topic_score_codex":0.00030449123,"about_ca_topic_score_gemma":0.00055455946,"teacher_disagreement_score":0.96279126,"about_ca_system_score_codex":0.000029202694,"about_ca_system_score_gemma":0.000011180466,"threshold_uncertainty_score":0.26973996},"labels":[],"label_agreement":null},{"id":"W4417360235","doi":"10.1186/s13073-025-01583-w","title":"Delineation and monitoring of the T cell repertoire of adoptive cell transfer product during the treatment of advanced melanoma","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canada Foundation for Innovation; Princess Margaret Cancer Foundation","keywords":"Repertoire; Peripheral blood mononuclear cell; Adoptive cell transfer; Melanoma; Immunotherapy; T cell; Cancer immunotherapy","score_opus":0.015885862884638263,"score_gpt":0.2818221286523561,"score_spread":0.26593626576771784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417360235","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":[0.9841308,0.012216785,0.000038861697,0.0011037249,0.00012600422,0.0010509056,0.00000707154,0.0000069863377,0.0013188891],"genre_scores_gemma":[0.9869722,0.0033958526,0.000105131985,0.000011496426,0.00015656918,0.000029107177,0.000004649684,0.000013331917,0.009311625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988609,0.00006377231,0.00039540487,0.00020947469,0.00031901806,0.00015140894],"domain_scores_gemma":[0.9990649,0.00009831404,0.00007945814,0.0004956466,0.00022301266,0.000038653532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002233826,0.00013057512,0.00040137497,0.00011652903,0.000058962774,0.0000011803727,0.000107156484,0.000037548318,0.00009777271],"category_scores_gemma":[0.000034092987,0.00006512165,0.00007684934,0.00037068478,0.00027314818,0.000018808276,0.000021871821,0.00010160806,2.1198724e-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":[0.000702016,0.00017955819,0.02484687,0.00050487404,0.00008187119,0.0000025104614,0.0053857113,0.00006646421,0.9471573,0.0000040102104,0.00000311651,0.021065647],"study_design_scores_gemma":[0.0035383012,0.0010611723,0.12386825,0.00023061395,0.00017112299,0.0000044571934,0.0021475712,0.000021098389,0.86725736,0.0000058613105,0.0016542497,0.000039925464],"about_ca_topic_score_codex":0.00011284086,"about_ca_topic_score_gemma":0.0000062705085,"teacher_disagreement_score":0.099021375,"about_ca_system_score_codex":0.000103554106,"about_ca_system_score_gemma":0.000086153035,"threshold_uncertainty_score":0.26555836},"labels":[],"label_agreement":null},{"id":"W4417420457","doi":"10.1186/s13073-025-01561-2","title":"Genetic liability to psoriasis predicts severe disease outcomes","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Nexus Clinical Research (Canada); Memorial University of Newfoundland; University Health Network","funders":"Janssen Biotech; Faculty of Medicine and Health, University of Sydney; Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet; Medical School, University of Michigan; National Institutes of Health; King's College London; Business Finland; Norges Forskningsråd; Genentech; King's Health Partners; National Institute for Health and Care Research; Maze Therapeutics; British Association of Dermatologists; Wellcome Trust; Sanofi; Norges Teknisk-Naturvitenskapelige Universitet; Eesti Teadusagentuur; European Federation of Pharmaceutical Industries and Associations; School of Public Health, University of Michigan; Novartis Pharma; European Commission; Norwegian Institute of Public Health; Celgene; Pfizer; Biogen; Helse Midt-Norge; GlaxoSmithKline; Bristol-Myers Squibb; AstraZeneca","keywords":"Psoriasis; Disease; Epidemiology; Human genetics; Risk stratification; Genetic predisposition; Liability; Severity of illness","score_opus":0.012679283905301408,"score_gpt":0.25149439015395936,"score_spread":0.23881510624865795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417420457","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":[0.9730165,0.010004383,0.0003447296,0.0077130822,0.002885153,0.00077594776,0.00015336178,0.00016769234,0.0049391524],"genre_scores_gemma":[0.97015595,0.00015513295,0.00015660639,0.0018732917,0.00014752778,0.0001396816,0.00015281656,0.000015402831,0.027203556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984985,0.00016360758,0.00036844137,0.0004922254,0.00006393682,0.00041331365],"domain_scores_gemma":[0.99887824,0.0001988358,0.000055403198,0.00067130366,0.000076661,0.00011954711],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023196403,0.0002724437,0.0004883159,0.00022378206,0.00017734208,0.000005759292,0.0003029805,0.00013912095,0.0016408269],"category_scores_gemma":[0.00037481278,0.00019577058,0.000110559085,0.00035843308,0.0001586032,0.000029368612,0.00012357181,0.00011211955,0.0007612653],"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":[0.0011646515,0.0005377413,0.80887187,0.0002143561,0.0015799784,0.000074930846,0.0016336599,0.00006245587,0.02351254,0.00067725574,0.02483451,0.13683605],"study_design_scores_gemma":[0.002421612,0.00017172171,0.8804695,0.000050459545,0.0004704268,0.0000044734225,0.00009756069,6.7745e-7,0.0002866684,0.00049286475,0.11537052,0.00016353263],"about_ca_topic_score_codex":0.00008887574,"about_ca_topic_score_gemma":0.000026618816,"teacher_disagreement_score":0.13667251,"about_ca_system_score_codex":0.00009349665,"about_ca_system_score_gemma":0.00010719186,"threshold_uncertainty_score":0.9992718},"labels":[],"label_agreement":null},{"id":"W7117579289","doi":"10.1186/s13073-025-01574-x","title":"Single-cell RNA-seq analysis of longitudinal CD4+ T cell samples reveals cell-type-specific changes during early stages of type 1 diabetes","year":2025,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"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 Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; European Research Council; Biocenter Finland; Canadian Institutes of Health Research; Jane ja Aatos Erkon Säätiö; China Scholarship Council; National Institutes of Health; Novo Nordisk; Academy of Finland; Novo Nordisk Fonden; Turun Yliopisto; European Foundation for the Study of Diabetes; Eunice Kennedy Shriver National Institute of Child Health and Human Development; European Commission","keywords":"Type 1 diabetes; Immune system; Human genetics; Diabetes mellitus; Gene; Transcription factor; Transcription (linguistics); T cell; Autoimmunity","score_opus":0.015470046524570511,"score_gpt":0.23035815108015617,"score_spread":0.21488810455558566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117579289","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":[0.96989065,0.027107285,0.000025204768,0.00016478071,0.00015687248,0.00013246282,0.000068561734,0.0000095606265,0.0024446081],"genre_scores_gemma":[0.9937311,0.0028638362,0.000110091954,0.00007110218,0.00009744392,0.000004359517,0.00031580485,0.000019264644,0.0027870217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865437,0.00005674204,0.00038360353,0.00037012788,0.00019560191,0.0003395417],"domain_scores_gemma":[0.9989452,0.000048998874,0.00028632986,0.00040366253,0.00024603234,0.00006980978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024711282,0.00020517602,0.0005733913,0.0003295266,0.00005462411,0.000008604391,0.0002524613,0.00013700443,0.00015386828],"category_scores_gemma":[0.00006226445,0.00018247603,0.0001265919,0.00094862725,0.00015737297,0.000003363606,0.000115611685,0.00008357634,0.0000025081308],"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":[0.000037807422,0.0001381577,0.12586193,0.00022209188,0.00041227628,0.000001019532,0.00013594722,0.000106983636,0.87238777,0.000004934922,0.00042007858,0.0002710146],"study_design_scores_gemma":[0.001182804,0.0010412985,0.17847271,0.00008644517,0.00096775097,5.7654063e-8,0.00052774383,0.0000061110295,0.8118426,0.00003158818,0.0055861957,0.00025464306],"about_ca_topic_score_codex":0.000055839795,"about_ca_topic_score_gemma":0.000028361377,"teacher_disagreement_score":0.060545117,"about_ca_system_score_codex":0.000020654228,"about_ca_system_score_gemma":0.00003373998,"threshold_uncertainty_score":0.74411565},"labels":[],"label_agreement":null}]}