{"meta":{"query_hash":"dd2c7a5e0f38","filters":{"venue":"Cancer Epidemiology Biomarkers & Prevention"},"cohort_total":904,"direct_labels_cover":21,"predictions_cover":904,"exported":904,"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/dd2c7a5e0f38","api":"https://metacan.xera.ac/api/v1/cohort?venue=Cancer+Epidemiology+Biomarkers+%26+Prevention"},"results":[{"id":"W1854375358","doi":"10.1158/1055-9965.1814.13.11","title":"Occupational Exposure to Immunologically Active Agents and Risk for Lymphoma","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Occupational exposure and asthma","field":"Medicine","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 British Columbia","funders":"","keywords":"Lymphoma; Occupational exposure; Medicine; Environmental health; Immunology","score_opus":0.05445856878067847,"score_gpt":0.38436338789722624,"score_spread":0.3299048191165478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854375358","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":[0.9584914,0.0018847557,0.032608885,0.005215624,0.00040304346,0.001117295,0.0001248727,0.000052207706,0.000101927115],"genre_scores_gemma":[0.96818244,0.0007391929,0.027397487,0.0020689662,0.00027583927,0.00060890947,0.00038066224,0.00001886447,0.0003276246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985167,0.00018974922,0.0004458288,0.0004558621,0.000094656774,0.00029721475],"domain_scores_gemma":[0.9988825,0.0003649556,0.00025563975,0.00017050275,0.00017025172,0.00015620158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007539081,0.00017793431,0.0003851447,0.00011952403,0.0001548527,0.000004855728,0.00006920441,0.00022135957,0.00008363656],"category_scores_gemma":[0.0009865031,0.00015108459,0.00017251463,0.00013262032,0.00011921524,0.00009669669,0.000040900988,0.0000788,0.000018300554],"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":[0.0058705425,0.0002466658,0.71776104,0.0000478758,0.00084986753,0.000003876949,0.00012811563,0.00014799205,0.0015639624,0.0016091791,0.0039903414,0.2677805],"study_design_scores_gemma":[0.0035897838,0.0012185381,0.97500324,0.00014600238,0.00018183635,0.000016523098,0.000048878395,0.000035857352,0.00048697795,0.012985865,0.0061380644,0.00014844665],"about_ca_topic_score_codex":0.00016365353,"about_ca_topic_score_gemma":0.00008048562,"teacher_disagreement_score":0.26763207,"about_ca_system_score_codex":0.00024208997,"about_ca_system_score_gemma":0.00026028656,"threshold_uncertainty_score":0.6161051},"labels":[],"label_agreement":null},{"id":"W1871876868","doi":"10.1158/1055-9965.epi-14-1377","title":"Health Care Utilization, Lifestyle, and Emotional Factors and Mammography Practices in the Childhood Cancer Survivor Study","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":8,"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 Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Medicine; Breast cancer; Mammography; Breast cancer screening; Cancer screening; Cancer; Obstetrics; Gynecology; Internal medicine","score_opus":0.26896494659206804,"score_gpt":0.4803555724193805,"score_spread":0.21139062582731244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871876868","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":[0.90815204,0.07964533,0.00012630297,0.010552577,0.00030106364,0.0010987452,0.00002195693,0.000026709526,0.00007524651],"genre_scores_gemma":[0.99348086,0.0039003913,0.00031591218,0.0018468472,0.00014996192,0.0001778199,0.00009791148,0.00001210931,0.00001819886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969615,0.0014775629,0.0005202391,0.0004913912,0.00022121296,0.00032810366],"domain_scores_gemma":[0.9984442,0.00040572582,0.0005868091,0.00020664632,0.0001570417,0.00019957598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030617944,0.00020121297,0.00048178545,0.0001665297,0.00015694008,0.000016481925,0.00010113366,0.000121879464,0.000017515107],"category_scores_gemma":[0.0010087801,0.0001392753,0.00006631166,0.00039512842,0.00017218811,0.00022998029,0.000047475125,0.00022379657,6.2829236e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018759556,0.00011070102,0.9802763,0.000060686572,0.00017495836,0.0000033373044,0.0040672226,0.000008671796,0.0000013998232,0.00005918092,0.0026092236,0.012440728],"study_design_scores_gemma":[0.0014119893,0.00062211405,0.97903395,0.00030779518,0.0001317853,0.000022928472,0.016406873,0.000039062586,0.0000016194691,0.00039173913,0.0015132676,0.00011686818],"about_ca_topic_score_codex":0.01431726,"about_ca_topic_score_gemma":0.026079308,"teacher_disagreement_score":0.08532878,"about_ca_system_score_codex":0.00018472028,"about_ca_system_score_gemma":0.0004614156,"threshold_uncertainty_score":0.9922465},"labels":[],"label_agreement":null},{"id":"W1881225908","doi":"10.1158/1055-9965.epi-15-0436","title":"Secondhand Tobacco Smoke Exposure and Lung Adenocarcinoma <i>In Situ</i> /Minimally Invasive Adenocarcinoma (AIS/MIA)","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institute on Drug Abuse","keywords":"Medicine; Adenocarcinoma; Lung cancer; Incidence (geometry); Secondhand smoke; Logistic regression; Confidence interval; Environmental health; Passive smoking; Smoke; Tobacco smoke; Internal medicine; Cancer","score_opus":0.06618883685311214,"score_gpt":0.35167125947534034,"score_spread":0.2854824226222282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1881225908","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":[0.8469338,0.14381541,0.000042602933,0.0065201325,0.000643625,0.001131944,0.000023313149,0.00005847937,0.0008307133],"genre_scores_gemma":[0.99125195,0.0040691774,0.0011264222,0.0018863955,0.00031437998,0.00068852544,0.00017520874,0.000046969348,0.00044095592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966147,0.0006266385,0.00087922864,0.0010044817,0.00019417857,0.00068077305],"domain_scores_gemma":[0.99784964,0.00058208656,0.0003980883,0.0005056336,0.00015677413,0.0005077474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015337666,0.00042301553,0.0010292878,0.0002584889,0.00008763468,0.000018198916,0.0001455429,0.00042642278,0.00012957625],"category_scores_gemma":[0.0004958573,0.00037861985,0.00022977655,0.0002704461,0.00027337583,0.00024301445,0.00012492928,0.00030148105,0.000017791037],"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":[0.0010068029,0.000196912,0.97287,0.00021827419,0.0007570693,0.00014153428,0.00037314513,0.0000070088913,0.0005508728,0.00012931124,0.016906695,0.0068423804],"study_design_scores_gemma":[0.0072444337,0.0011337101,0.9852532,0.00087224063,0.00069473183,0.00011298732,0.00040941985,0.000048849368,0.0017171272,0.0015722478,0.00059971324,0.00034133805],"about_ca_topic_score_codex":0.0008751995,"about_ca_topic_score_gemma":0.0031581975,"teacher_disagreement_score":0.14431818,"about_ca_system_score_codex":0.0011305191,"about_ca_system_score_gemma":0.000682897,"threshold_uncertainty_score":0.99986655},"labels":[],"label_agreement":null},{"id":"W1901472791","doi":"10.1158/1055-9965.1989.13.12","title":"Utilization of Screening and Preventive Surgery Among Unaffected Carriers of a<i>BRCA1</i>or<i>BRCA2</i>Gene Mutation","year":2004,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":116,"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 Waterloo","funders":"","keywords":"Medicine; BRCA mutation; Breast cancer; Ovarian cancer; Genetic testing; Population; Oophorectomy; Oncology; Cancer; Intensive care medicine; Gynecology; Family medicine; Internal medicine; Surgery; Environmental health; Hysterectomy","score_opus":0.08833597939251545,"score_gpt":0.39629130839001153,"score_spread":0.3079553289974961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1901472791","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":[0.0037537164,0.9686192,0.025192449,0.000030369558,0.000657252,0.0014510268,0.0002504394,0.000023356532,0.000022179294],"genre_scores_gemma":[0.0053512594,0.9853933,0.0049547465,0.000022604605,0.00016455784,0.00055826467,0.0032718028,0.00009500347,0.00018846558],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99450064,0.0019149599,0.0019140559,0.0010283156,0.00017455468,0.0004674908],"domain_scores_gemma":[0.9953478,0.0006602971,0.0029560598,0.00058264664,0.0003154247,0.00013778133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023341314,0.0005736194,0.0020559977,0.00043119583,0.00010282505,0.0000071435306,0.00026343993,0.0010814589,0.00005376139],"category_scores_gemma":[0.0014934865,0.00053214084,0.00082234043,0.0006311417,0.0007932974,0.00002561006,0.0001607477,0.0002199415,7.461362e-7],"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":[0.00033384337,0.00008606153,0.0042109834,0.0132650575,0.003956178,0.0000041273292,0.0000875843,0.00029235822,0.00045423888,0.000037356043,0.0012799995,0.9759922],"study_design_scores_gemma":[0.010789182,0.0041896794,0.045403685,0.21849725,0.033533853,0.0006283805,0.0010678817,0.0007360079,0.057604183,0.0063252826,0.6125678,0.008656848],"about_ca_topic_score_codex":0.00027130524,"about_ca_topic_score_gemma":0.00035936479,"teacher_disagreement_score":0.96733534,"about_ca_system_score_codex":0.00025033904,"about_ca_system_score_gemma":0.0018056784,"threshold_uncertainty_score":0.999713},"labels":[],"label_agreement":null},{"id":"W1904230974","doi":"10.1158/1055-9965.epi-15-0363","title":"Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"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 de Québec; Institute of Cancer Research; Amgen (Canada); Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"Medical Research and Materiel Command; National Cancer Institute; Institute of Biomedical Sciences, Academia Sinica; Universitätsklinikum Hamburg-Eppendorf; Biomedical Research Council; Medical Research Council; Canadian Institutes of Health Research; U.S. Army; National Institutes of Health; Deutschen Konsortium für Translationale Krebsforschung; Ministero dello Sviluppo Economico; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Centers for Disease Control and Prevention; Institut National Du Cancer; National Health and Medical Research Council; Oulun Yliopisto; Deutsche Krebshilfe; Norges Forskningsråd; KWF Kankerbestrijding; Vetenskapsrådet; Karolinska Institutet; National Medical Research Council; Ministério da Ciência, Tecnologia e Inovação; Herlev Hospital; Ovarian Cancer Research Fund; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Robert Bosch Stiftung; Kementerian Sains, Teknologi dan Inovasi; King's College London; Academy of Finland; Stockholms Läns Landsting; Singapore Eye Research Institute; National Science Council; Agence Nationale de la Recherche; Fonds Wetenschappelijk Onderzoek; Cancerfonden; National Breast Cancer Foundation; European Commission; Kuopion Yliopistollinen Sairaala; Academia Sinica; National Research Foundation; National Institute for Health and Care Research; Rheinische Friedrich-Wilhelms-Universität Bonn; Breast Cancer Research Trust; Wellcome Trust; Fondation du cancer du sein du Québec; California Breast Cancer Research Program; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; European Social Fund; Agency for Science, Technology and Research; Lon V. Smith Foundation; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Cancer Council Tasmania; World Health Organization; Francis Crick Institute; Deutsche Gesetzliche Unfallversicherung; McGill University Health Centre; University of California, Irvine; David F. and Margaret T. Grohne Family Foundation; Deutsches Krebsforschungszentrum; Breast Cancer Research Foundation; McGill University; Helsingin ja Uudenmaan Sairaanhoitopiiri; Cancer Council Victoria; California Department of Public Health; Sundhed og Sygdom, Det Frie Forskningsråd; Itä-Suomen Yliopisto; Susan G. Komen for the Cure; Virginia Department of Health; Vanderbilt University; Cancer Research UK; Associazione Italiana per la Ricerca sul Cancro; Ministry of Public Health; Beckman Research Institute, City of Hope; University of Southern California; University of Cambridge; Instituto de Salud Carlos III; National Research Foundation of Korea; Ohio State University; U.S. Department of Health and Human Services; Mayo Clinic","keywords":"Locus (genetics); Breast cancer; Genetics; Biology; Medicine; Cancer; Oncology; Gene","score_opus":0.03070043389254382,"score_gpt":0.3120844339164638,"score_spread":0.28138400002391994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904230974","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":[0.9837268,0.006090291,0.0058729458,0.0025765377,0.00084863155,0.00045861537,0.00022865985,0.0000205554,0.00017698105],"genre_scores_gemma":[0.9966225,0.0006302018,0.00055497745,0.00025464548,0.00024288907,0.00020559513,0.00019863718,0.000029699908,0.00126083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961368,0.0018175951,0.0007689756,0.00059320225,0.00016954294,0.0005139071],"domain_scores_gemma":[0.9974957,0.0001621047,0.0012912763,0.00050999183,0.00040254847,0.00013837944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003213089,0.00027317056,0.0005449014,0.000072997485,0.00017338678,0.000007169332,0.00037208613,0.0003967382,0.000057338308],"category_scores_gemma":[0.0010442069,0.0001968171,0.00027022854,0.0002803487,0.00043001008,0.000011807632,0.00021259606,0.00022790427,0.000004307746],"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":[0.0001531295,0.00007200807,0.9699179,0.0000141100845,0.00092399743,4.2443378e-7,0.00007642302,0.002596712,0.005115552,0.00001682407,0.01694045,0.0041724797],"study_design_scores_gemma":[0.0015887045,0.00012873541,0.9914616,0.0001423247,0.00027135288,0.000011821756,0.00022908598,0.0004312412,0.0015578782,0.0026826062,0.0012236881,0.00027098798],"about_ca_topic_score_codex":0.0022090266,"about_ca_topic_score_gemma":0.012582758,"teacher_disagreement_score":0.021543683,"about_ca_system_score_codex":0.00020184742,"about_ca_system_score_gemma":0.00039260843,"threshold_uncertainty_score":0.8025968},"labels":[],"label_agreement":null},{"id":"W1907437151","doi":"10.1158/1055-9965.1604.13.10","title":"Overexpression of <i>m</i>-Calpain in Human Colorectal Adenocarcinomas","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Calpain Protease Function and Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"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 Saskatchewan; Saskatchewan Cancer Agency","funders":"","keywords":"Calpain; Calpastatin; Colorectal cancer; Immunohistochemistry; Western blot; Adenocarcinoma; Cancer research; Pathogenesis; Staining; Biology; Pathology; Cancer; Medicine; Internal medicine; Enzyme; Gene; Biochemistry","score_opus":0.0263745823871362,"score_gpt":0.3350546564945695,"score_spread":0.3086800741074333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907437151","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":[0.9879759,0.0030925372,0.0075569088,0.0004900971,0.00024738474,0.00041504495,0.000008107899,0.000014987371,0.00019902029],"genre_scores_gemma":[0.99785507,0.00016819093,0.0010542253,0.00015653319,0.00013674941,0.000112591595,0.00026138648,0.000015362344,0.00023990693],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983127,0.0004565566,0.0005216051,0.00039719048,0.00007154763,0.00024038664],"domain_scores_gemma":[0.9993489,0.000034835564,0.00028605084,0.00021262172,0.000050588093,0.00006703545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009919035,0.00014827326,0.0002571411,0.00010954699,0.00006165168,0.0000021656374,0.000107385924,0.0003282024,0.0000613194],"category_scores_gemma":[0.00020527231,0.00014145294,0.00016599211,0.00013349064,0.00018448134,0.000008105551,0.00006323001,0.000096835705,0.000002213233],"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":[0.0004081381,0.0001088039,0.1538881,0.000039253366,0.00007133482,7.038154e-7,0.00002365975,0.00093161815,0.8403144,0.00068203424,0.0011419473,0.0023900133],"study_design_scores_gemma":[0.0034868498,0.00068317703,0.6334848,0.00044439768,0.000040435356,0.000011272991,0.00007114541,0.00013428023,0.34370357,0.014806727,0.0028070135,0.0003263318],"about_ca_topic_score_codex":0.0002168471,"about_ca_topic_score_gemma":0.00024830236,"teacher_disagreement_score":0.49661082,"about_ca_system_score_codex":0.000093431416,"about_ca_system_score_gemma":0.00010375056,"threshold_uncertainty_score":0.57682836},"labels":[],"label_agreement":null},{"id":"W1912475398","doi":"10.1158/1055-9965.epi-15-0639","title":"Differential Inequality Trends Over Time in Survival Among U.S. Children with Acute Lymphoblastic Leukemia by Race/Ethnicity, Age at Diagnosis, and Sex","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","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":"Provincial Laboratory of Public Health; University of Alberta","funders":"National Cancer Institute","keywords":"Medicine; Confidence interval; Demography; Hazard ratio; Pacific islanders; Ethnic group; Epidemiology; Proportional hazards model; Internal medicine; Pediatrics; Population","score_opus":0.03951677352481838,"score_gpt":0.35220189848102096,"score_spread":0.3126851249562026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1912475398","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":[0.99465704,0.002001728,0.0010111469,0.0009105058,0.00021652758,0.0007941081,0.00013364725,0.000095330295,0.00017994407],"genre_scores_gemma":[0.9921239,0.0013010218,0.0002918567,0.00027619678,0.0002212797,0.00047499695,0.0013888426,0.000076059085,0.0038458246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99493927,0.0016488584,0.0009157967,0.0010845616,0.000466021,0.0009454944],"domain_scores_gemma":[0.997468,0.00092584983,0.0003355172,0.0005311914,0.00008405227,0.0006554052],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020757653,0.00050282513,0.0013268292,0.00035040465,0.00010610972,0.000018159562,0.00023909609,0.00056684,0.0005239226],"category_scores_gemma":[0.00059018173,0.00040284544,0.0001702223,0.00050817744,0.00095585675,0.00022000635,0.00040131906,0.00040540713,0.00002206474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021673122,0.00017746957,0.94807225,0.00004804235,0.0012939555,0.000080473175,0.0001253128,0.00001987032,0.001042892,0.000008815515,0.039747663,0.007215937],"study_design_scores_gemma":[0.011924402,0.0007019809,0.98116416,0.00030365834,0.0006171329,0.00009371572,0.000017667182,0.0037279874,0.00052613183,0.00022021121,0.00028851037,0.00041443584],"about_ca_topic_score_codex":0.00456131,"about_ca_topic_score_gemma":0.0022119465,"teacher_disagreement_score":0.03945915,"about_ca_system_score_codex":0.004641139,"about_ca_system_score_gemma":0.00069913064,"threshold_uncertainty_score":0.99984235},"labels":[],"label_agreement":null},{"id":"W1930304479","doi":"10.1158/1055-9965.epi-15-0137","title":"Coffee Consumption and Risk of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma by Sex: The Liver Cancer Pooling Project","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Coffee research and impacts","field":"Medicine","cited_by":63,"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":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Hazard ratio; Hepatocellular carcinoma; Caffeine; Internal medicine; Proportional hazards model; Confidence interval; Liver cancer; Gastroenterology; Lower risk; Cancer; Cohort study; Cohort; Oncology","score_opus":0.12274991908837617,"score_gpt":0.3844315301400327,"score_spread":0.2616816110516565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930304479","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":[0.8482891,0.14918599,0.00042479957,0.0008766117,0.000113236536,0.0010044696,0.00005182837,0.000019654839,0.00003436572],"genre_scores_gemma":[0.95766294,0.04144671,0.00023997102,0.00015249274,0.00010256271,0.00016200439,0.000057089732,0.00001820962,0.00015802665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974874,0.0011308006,0.00044036692,0.00037627714,0.00016251844,0.0004026142],"domain_scores_gemma":[0.99846125,0.0005564205,0.00032738486,0.000255121,0.00012852305,0.0002712862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027859812,0.00019354012,0.00051091204,0.00013232975,0.000101633625,0.000009350673,0.00007976896,0.00016907936,0.000038204525],"category_scores_gemma":[0.00087819074,0.00013402096,0.00009437038,0.00014713604,0.00051764114,0.000117040436,0.00007879085,0.00026422183,0.0000023700666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005270658,0.000038069018,0.939999,0.00025678275,0.00047533933,0.000006409314,0.00030819027,7.583229e-7,0.0016100263,0.00001312288,0.00920883,0.04755645],"study_design_scores_gemma":[0.002348285,0.0005797355,0.9795164,0.0003243488,0.0007096467,0.00006443597,0.00015107708,0.012636445,0.0014370371,0.0004929645,0.001587985,0.00015166203],"about_ca_topic_score_codex":0.0081900405,"about_ca_topic_score_gemma":0.00028738173,"teacher_disagreement_score":0.10937389,"about_ca_system_score_codex":0.00018187248,"about_ca_system_score_gemma":0.00032887605,"threshold_uncertainty_score":0.9984145},"labels":[],"label_agreement":null},{"id":"W1944072521","doi":"10.1158/1055-9965.epi-15-0038-t","title":"Associations of Coffee Drinking with Systemic Immune and Inflammatory Markers","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Coffee research and impacts","field":"Medicine","cited_by":84,"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":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Odds ratio; Confidence interval; Logistic regression; Immunology; Internal medicine; Proinflammatory cytokine; Immune system; Inflammation; Case-control study; Chemokine; Gastroenterology","score_opus":0.08962763972159284,"score_gpt":0.38627888890215006,"score_spread":0.29665124918055724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944072521","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":[0.9720908,0.023102427,0.00096346106,0.0017161678,0.00019611695,0.0007980961,0.000012581634,0.000048962203,0.0010714061],"genre_scores_gemma":[0.9974084,0.0010587956,0.0009108705,0.00008630981,0.00007429318,0.00006801082,0.00007124212,0.0000178591,0.00030423782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805194,0.0006088903,0.0005446581,0.00025359055,0.00017934486,0.00036158392],"domain_scores_gemma":[0.9983594,0.00043954948,0.0004333775,0.00023912449,0.00023008876,0.00029845888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031518976,0.00014284754,0.00057203945,0.00018547649,0.00005611762,0.000004587243,0.000068384965,0.00015536493,0.00003214565],"category_scores_gemma":[0.0012527464,0.00011377091,0.00009341935,0.00019748871,0.0002552888,0.00012914315,0.00005063498,0.00017287527,0.000004338403],"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":[0.0009949452,0.00004017342,0.9758642,0.00019298823,0.0008565623,0.0000070337555,0.00010777645,0.00001006003,0.0043867547,0.00014822443,0.0029192038,0.014472122],"study_design_scores_gemma":[0.002762726,0.0006647079,0.9923519,0.0013109159,0.00024881432,0.00008309428,0.0002291937,0.00034646245,0.00042436883,0.00094968366,0.00049976166,0.0001283655],"about_ca_topic_score_codex":0.00035271214,"about_ca_topic_score_gemma":0.00016812047,"teacher_disagreement_score":0.025317598,"about_ca_system_score_codex":0.00035284992,"about_ca_system_score_gemma":0.0005639987,"threshold_uncertainty_score":0.46394432},"labels":[],"label_agreement":null},{"id":"W1947010865","doi":"10.1158/1055-9965.epi-15-0094","title":"Association between Body Mass Index and Mortality for Colorectal Cancer Survivors: Overall and by Tumor Molecular Phenotype","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Cancer Care Ontario; Memorial University of Newfoundland; University Health Network","funders":"National Cancer Institute; Economic and Social Research Council; Medical Research Council; American Association for Cancer Research","keywords":"Microsatellite instability; Hazard ratio; Medicine; Colorectal cancer; Body mass index; Internal medicine; Oncology; Proportional hazards model; Cancer; Rectum; Confidence interval; Gastroenterology; Biology; Allele; Genetics; Microsatellite","score_opus":0.046028606506177364,"score_gpt":0.3618228134319223,"score_spread":0.31579420692574495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947010865","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":[0.9750891,0.010074411,0.011054548,0.0020151448,0.00056019804,0.0009162448,0.000116674106,0.0000854265,0.00008824907],"genre_scores_gemma":[0.9972392,0.00040972288,0.0006506207,0.000381565,0.00029874544,0.0005101281,0.00019256723,0.000028429504,0.0002890571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979761,0.0004390707,0.00046936853,0.0005575604,0.00016778009,0.00039007378],"domain_scores_gemma":[0.99853045,0.00041259528,0.00044109722,0.00013411757,0.00021245575,0.00026927495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022301709,0.00022391131,0.0006110379,0.00008973435,0.00009465434,0.000014089157,0.000052146483,0.00030881702,0.00001916483],"category_scores_gemma":[0.0009062441,0.00022010267,0.0001167256,0.00013973567,0.000111781774,0.00013312059,0.000039573926,0.00019402542,9.2786956e-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":[0.0023943763,0.000023539544,0.97885853,0.000100291014,0.00096661685,0.0000012412778,0.00003723072,0.000009884177,0.004430263,0.000023481249,0.0052444185,0.007910109],"study_design_scores_gemma":[0.0032260297,0.001389054,0.9786,0.00014376141,0.0009108549,0.000004673709,0.000048216905,0.003146603,0.0025242108,0.0066569005,0.0030635088,0.0002861483],"about_ca_topic_score_codex":0.0061076144,"about_ca_topic_score_gemma":0.0015083752,"teacher_disagreement_score":0.022150062,"about_ca_system_score_codex":0.00068308576,"about_ca_system_score_gemma":0.00018928171,"threshold_uncertainty_score":0.9232927},"labels":[],"label_agreement":null},{"id":"W1955514624","doi":"10.1158/1055-9965.epi-14-1381","title":"Nicotine Metabolite Ratio (3-Hydroxycotinine/Cotinine) in Plasma and Urine by Different Analytical Methods and Laboratories: Implications for Clinical Implementation","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":78,"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; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"National Institute on Drug Abuse","keywords":"Cotinine; Metabolite; Urine; Nicotine; CYP2A6; Chemistry; Urinary system; Proton NMR; Medicine; Internal medicine; Metabolism; Biochemistry; Stereochemistry","score_opus":0.2149758345412495,"score_gpt":0.5598852614721078,"score_spread":0.34490942693085835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955514624","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":[0.9655033,0.00377317,0.020676948,0.008404674,0.00041762518,0.0010540372,0.00010782957,0.000044245953,0.000018211887],"genre_scores_gemma":[0.9835943,0.0022138953,0.011268383,0.00046956626,0.00023329389,0.00069389417,0.0013257413,0.000030336761,0.00017058187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969728,0.00093016756,0.0011123517,0.00058639195,0.00008078076,0.00031750253],"domain_scores_gemma":[0.99790204,0.0010077104,0.00038696243,0.00022974986,0.00020132074,0.00027221895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004324622,0.00021509848,0.00072075694,0.00014558728,0.000066598426,0.000013159299,0.000057493275,0.00025070354,0.00002730035],"category_scores_gemma":[0.0014023413,0.00018641521,0.00009804762,0.00024396137,0.00020401676,0.00014122276,0.0000489352,0.00018409207,3.0177745e-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":[0.00034600982,0.0001251756,0.9401628,0.000042008614,0.00018122233,1.3429954e-7,0.00008390013,0.0000012307647,0.0011445845,0.0015361991,0.0048879986,0.051488727],"study_design_scores_gemma":[0.0053269747,0.0004577213,0.9835006,0.000052188596,0.00066646736,0.00000911865,0.00023944738,0.0019233357,0.0009932145,0.0024160591,0.004242812,0.0001720773],"about_ca_topic_score_codex":0.00011650877,"about_ca_topic_score_gemma":0.000113068694,"teacher_disagreement_score":0.051316652,"about_ca_system_score_codex":0.00014095944,"about_ca_system_score_gemma":0.00014849404,"threshold_uncertainty_score":0.7601792},"labels":[],"label_agreement":null},{"id":"W1964229346","doi":"10.1158/1055-9965.epi-04-0394","title":"A Basal Epithelial Phenotype Is More Frequent in Interval Breast Cancers Compared with Screen Detected Tumors","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":218,"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":"Breast cancer; Medicine; Cytokeratin; Basal (medicine); Tissue microarray; Immunohistochemistry; Odds ratio; Oncology; Internal medicine; Estrogen receptor; Cancer; Pathology; Population; Mammography; Phenotype; Confidence interval; Biology","score_opus":0.023803719269620036,"score_gpt":0.3168799983348942,"score_spread":0.29307627906527417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964229346","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":[0.9827226,0.0070811976,0.0018715078,0.0068501257,0.00027437284,0.0006557598,0.00035899077,0.000050781455,0.00013468233],"genre_scores_gemma":[0.99318314,0.0004604838,0.003467771,0.0014776734,0.00045828233,0.0003961446,0.00038228606,0.000047878562,0.0001263446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731696,0.00042636594,0.00061551237,0.00086627953,0.00012887816,0.00064597966],"domain_scores_gemma":[0.99890107,0.00006327869,0.00035136405,0.00041905663,0.000121710254,0.00014354849],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004974653,0.00041067234,0.0005881044,0.00012984773,0.000110421395,0.000008121149,0.00026576075,0.00024035867,0.00015105987],"category_scores_gemma":[0.00006367128,0.00035740377,0.00019004935,0.00022311223,0.00042806607,0.000020204214,0.00012400729,0.00017753626,0.000013494924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007918462,0.0002896844,0.89385545,0.00006741726,0.0024388335,0.00001539142,0.00054733746,0.0015256588,0.014631706,0.00003324482,0.011711699,0.06696513],"study_design_scores_gemma":[0.004708827,0.0003615939,0.9822336,0.00043749134,0.00020716898,0.000045109675,0.00030078721,0.0007728045,0.006799613,0.00024845265,0.0032681474,0.0006164452],"about_ca_topic_score_codex":0.0045853346,"about_ca_topic_score_gemma":0.019155083,"teacher_disagreement_score":0.088378124,"about_ca_system_score_codex":0.00061501615,"about_ca_system_score_gemma":0.00033034693,"threshold_uncertainty_score":0.99988776},"labels":[],"label_agreement":null},{"id":"W1964780622","doi":"10.1158/1055-9965.epi-10-0400","title":"Serum IGF-I, IGF-II, IGFBP-3, and IGF-I/IGFBP-3 Molar Ratio and Risk of Pancreatic Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":73,"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; Jewish General Hospital","funders":"National Institutes of Health","keywords":"Medicine; Internal medicine; Odds ratio; Quartile; Pancreatic cancer; Insulin-like growth factor; Gastroenterology; Confidence interval; Case-control study; Endocrinology; Cancer; Oncology; Growth factor; Receptor","score_opus":0.02504798463476975,"score_gpt":0.33317067849193865,"score_spread":0.3081226938571689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964780622","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":[0.9675231,0.025114147,0.00019458286,0.0036187824,0.00066760264,0.00259018,0.00016955803,0.00003878308,0.000083292645],"genre_scores_gemma":[0.9751729,0.021945875,0.00085097953,0.00053070055,0.00032443862,0.00090060284,0.00006284055,0.000041821713,0.00016983504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961269,0.0011020331,0.0011419948,0.0007972729,0.0002059219,0.00062588765],"domain_scores_gemma":[0.99745214,0.0009513149,0.0008085679,0.00037743384,0.0001754913,0.00023503498],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035843404,0.0004337305,0.0011181972,0.0002735838,0.0003426078,0.000023069078,0.00015803684,0.00051817775,0.0001400267],"category_scores_gemma":[0.0013563916,0.0003205887,0.00015485242,0.00040809085,0.0007419006,0.000315656,0.00012644395,0.000807357,5.3340466e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012597798,0.000116669326,0.95119643,0.00025285734,0.0008996379,0.0000071791005,0.0012750884,0.00000719127,0.0071893637,0.000114469956,0.0021535733,0.024189735],"study_design_scores_gemma":[0.019091079,0.0010312828,0.97189355,0.00048652565,0.0012701323,0.000031796506,0.0004039912,0.00253792,0.00094548176,0.0010465946,0.00092392066,0.000337705],"about_ca_topic_score_codex":0.009285932,"about_ca_topic_score_gemma":0.007681905,"teacher_disagreement_score":0.02385203,"about_ca_system_score_codex":0.00011052636,"about_ca_system_score_gemma":0.00039464643,"threshold_uncertainty_score":0.9999246},"labels":[],"label_agreement":null},{"id":"W1965262967","doi":"10.1158/1055-9965.epi-08-0608","title":"Trends in Colorectal Cancer Screening Utilization among Ethnic Groups in California: Are We Closing the Gap?","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":58,"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 Cancer Institute; Office of the President, University of California; Partenariat Canadien Contre Le Cancer; National Institutes of Health; University of California","keywords":"Closing (real estate); Ethnic group; Colorectal cancer; Colorectal cancer screening; Medicine; Environmental health; Demography; Gerontology; Geography; Cancer; Internal medicine; Political science; Sociology; Colonoscopy; Anthropology","score_opus":0.14995524165780028,"score_gpt":0.4120012997339449,"score_spread":0.2620460580761446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965262967","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":[0.9491855,0.029246466,0.005583083,0.0142295975,0.0006179714,0.0006884064,0.000015941881,0.00012594754,0.0003070698],"genre_scores_gemma":[0.9947556,0.0033176932,0.00035405307,0.00066419394,0.00029625738,0.0003402075,0.00009236068,0.000025345154,0.00015425713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99671125,0.0009919144,0.00085350475,0.0006541499,0.00018082354,0.00060835417],"domain_scores_gemma":[0.9987318,0.00033816812,0.0005034559,0.00023009717,0.00007603352,0.000120441335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002332014,0.00029324568,0.000668344,0.0006200147,0.00014931695,0.000010851966,0.00013458145,0.00042437032,0.00015361686],"category_scores_gemma":[0.0003445293,0.00024017265,0.0002550482,0.0015854822,0.00020499619,0.00018446692,0.000038507216,0.0006211121,0.0000026440216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028089804,0.000064004314,0.5902946,0.000027868298,0.00007696043,0.00001033594,0.00021256508,0.0009542532,0.0005876041,0.000020923668,0.0010193263,0.4039226],"study_design_scores_gemma":[0.0017895182,0.00053201173,0.9727207,0.0013160083,0.00013246725,0.000019444724,0.0003007726,0.020690827,0.0005243643,0.0013422576,0.00040457115,0.00022708187],"about_ca_topic_score_codex":0.0027052285,"about_ca_topic_score_gemma":0.029978693,"teacher_disagreement_score":0.4036955,"about_ca_system_score_codex":0.0008139215,"about_ca_system_score_gemma":0.00009939191,"threshold_uncertainty_score":0.9877217},"labels":[],"label_agreement":null},{"id":"W1965593385","doi":"10.1158/1055-9965.epi-09-0107","title":"Mammographic Density and Breast Cancer Risk: Evaluation of a Novel Method of Measuring Breast Tissue Volumes","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Mammography; Confidence interval; Odds ratio; Breast tissue; MAMMOGRAPHIC DENSITY; Cancer; Nuclear medicine; Gynecology; Radiology; Internal medicine","score_opus":0.060493795653574926,"score_gpt":0.3874170141471353,"score_spread":0.3269232184935604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965593385","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":[0.9485342,0.01310705,0.034416966,0.002549892,0.00023229446,0.00076751714,0.00015587409,0.00004406931,0.00019212064],"genre_scores_gemma":[0.98877937,0.0009625366,0.00994997,0.000100757534,0.00008906411,0.000047948597,0.000032533506,0.000013637067,0.00002419119],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99752253,0.00068524724,0.00071891444,0.00047071217,0.00028632456,0.00031625814],"domain_scores_gemma":[0.9980528,0.00021816674,0.00076340215,0.00027732475,0.00054363906,0.00014467923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052018114,0.00022035981,0.00074870366,0.00039840114,0.00006924912,0.000004821165,0.00008740222,0.00017156477,0.000051162777],"category_scores_gemma":[0.0002838144,0.00020032232,0.0002730497,0.0005230207,0.00029762034,0.00022618708,0.000028455823,0.00016308398,2.9387633e-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":[0.00038808052,0.00015346591,0.4825741,0.00010006341,0.00047727925,4.93066e-7,0.00003768935,0.000043018994,0.01362116,0.00006439533,0.00009280474,0.5024474],"study_design_scores_gemma":[0.002103074,0.00015442143,0.9836203,0.000994123,0.0016818071,0.0003992741,0.00005084055,0.0053015165,0.001916187,0.0035991934,0.00001946479,0.00015980336],"about_ca_topic_score_codex":0.0013105007,"about_ca_topic_score_gemma":0.00018393752,"teacher_disagreement_score":0.5022876,"about_ca_system_score_codex":0.00010205515,"about_ca_system_score_gemma":0.00017577104,"threshold_uncertainty_score":0.8168907},"labels":[],"label_agreement":null},{"id":"W1965684022","doi":"10.1158/1055-9965.epi-09-1074","title":"Association between Statins and Prostate Tumor Inflammatory Infiltrate in Men Undergoing Radical Prostatectomy","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","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":"University of Toronto","funders":"","keywords":"Medicine; Prostate cancer; Prostatectomy; Statin; Urology; Odds ratio; Prostate; Confidence interval; Internal medicine; Simvastatin; Prostate biopsy; Body mass index; Inflammation; Prostate-specific antigen; Oncology; Cancer; Gastroenterology","score_opus":0.013650383269627071,"score_gpt":0.3039522901241467,"score_spread":0.2903019068545196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965684022","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":[0.9924888,0.00253693,0.00039470653,0.0010574099,0.0024557696,0.0007254138,0.00006342928,0.000029555791,0.00024798454],"genre_scores_gemma":[0.98159,0.005514243,0.002954646,0.0005776561,0.0063118786,0.00067654817,0.00073674833,0.00007093267,0.0015673862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755955,0.00062421506,0.0006399829,0.0005665889,0.00009958169,0.00051007216],"domain_scores_gemma":[0.9988389,0.00023150616,0.00047728926,0.00023035581,0.0000724489,0.00014952575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025717758,0.00022775162,0.00039722287,0.00011685365,0.000097839744,0.000016238318,0.00012296884,0.00034181259,0.000029050569],"category_scores_gemma":[0.0009945302,0.00022997409,0.00009655211,0.00012058501,0.00020083232,0.000025933892,0.00008471346,0.00033321962,0.0000037345878],"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":[0.00019881122,0.000024472472,0.86622363,0.000075054,0.00025831026,2.407844e-7,0.00007608638,0.0000122647425,0.11376102,0.00012278673,0.010637599,0.008609711],"study_design_scores_gemma":[0.002742342,0.00015724523,0.8491295,0.00010070011,0.000111908135,0.0000062718614,0.00008598781,0.00008605092,0.0049292524,0.0038723038,0.13840455,0.0003738633],"about_ca_topic_score_codex":0.00021323658,"about_ca_topic_score_gemma":0.0026023786,"teacher_disagreement_score":0.12776695,"about_ca_system_score_codex":0.0001034953,"about_ca_system_score_gemma":0.00037044112,"threshold_uncertainty_score":0.93780714},"labels":[],"label_agreement":null},{"id":"W1966430792","doi":"10.1158/1055-9965.epi-09-0074","title":"Differences in Measured Mammographic Density in the Menstrual Cycle","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University Health Network","funders":"","keywords":"Mammography; Menstrual cycle; Medicine; Follicular phase; MAMMOGRAPHIC DENSITY; Breast cancer; Gynecology; Breast density; Luteal phase; Digital mammography; Obstetrics; Cancer; Internal medicine; Hormone","score_opus":0.05266721236851455,"score_gpt":0.3421446916765013,"score_spread":0.28947747930798673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966430792","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":[0.9835306,0.0038945351,0.00024715703,0.010729419,0.00018197793,0.00041279427,0.0000027499484,0.000033677403,0.00096713466],"genre_scores_gemma":[0.9976939,0.00033371078,0.00032885888,0.0014821264,0.00006127577,0.00004839591,0.000021686606,0.00000517381,0.000024865434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979744,0.0006769753,0.000474371,0.0003506845,0.00012936688,0.00039421598],"domain_scores_gemma":[0.99927247,0.00025703563,0.00014202387,0.0002283419,0.000031249645,0.000068886795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002263116,0.0001634897,0.00044490374,0.00034576372,0.00004917125,0.000009011601,0.00014286334,0.0001322803,0.000017513818],"category_scores_gemma":[0.0002412046,0.000114594994,0.00021431442,0.00068386405,0.00020995586,0.00014502827,0.00001221985,0.000245877,0.0000025388385],"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":[0.00027611683,0.00016307783,0.8928829,0.00001553984,0.00006813633,0.000021717004,0.00009952474,0.0000014643527,0.00024296303,0.00042763987,0.00037932282,0.10542164],"study_design_scores_gemma":[0.0009600452,0.00017361944,0.97095954,0.00029360052,0.000058499732,0.00006365459,0.0001596293,0.0001804324,0.00003652331,0.026935102,0.00007064346,0.00010873132],"about_ca_topic_score_codex":0.0002852013,"about_ca_topic_score_gemma":0.00062583917,"teacher_disagreement_score":0.105312906,"about_ca_system_score_codex":0.0000681116,"about_ca_system_score_gemma":0.00005421108,"threshold_uncertainty_score":0.46730483},"labels":[],"label_agreement":null},{"id":"W1966439729","doi":"10.1158/1055-9965.epi-06-0241","title":"No Association Between 25-Hydroxyvitamin D and Mammographic Density","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"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","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Quartile; MAMMOGRAPHIC DENSITY; Vitamin D and neurology; Body mass index; Menopause; Internal medicine; Cancer; Bone density; Mammography; Physiology; Demography; Endocrinology; Oncology; Osteoporosis; Confidence interval","score_opus":0.019695329625093506,"score_gpt":0.3060607422924595,"score_spread":0.286365412667366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966439729","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":[0.98637366,0.004257599,0.0015737908,0.0033714501,0.00037421152,0.0003907131,0.000022866612,0.00012385022,0.0035118342],"genre_scores_gemma":[0.99532086,0.00032615525,0.0012145834,0.00036385353,0.00043872194,0.000042652326,0.00023510047,0.000016961581,0.0020411324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826324,0.0003002612,0.00048493908,0.00042061126,0.00012013136,0.00041082778],"domain_scores_gemma":[0.9988225,0.00042168476,0.0003427952,0.00017577023,0.000113055714,0.00012418695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015700395,0.0001869288,0.0004984316,0.00024900943,0.00010554734,0.000013205332,0.00005538844,0.00024240382,0.000032391286],"category_scores_gemma":[0.00030062615,0.00017702414,0.00025893748,0.00031319837,0.00017008033,0.00020410608,0.00003282144,0.00017666475,0.000017759032],"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":[0.000042407308,0.00004922075,0.9613548,0.00006273023,0.00046635323,0.0000041585163,0.0000041136063,5.137319e-7,0.0005620545,0.00024363406,0.007400059,0.029809969],"study_design_scores_gemma":[0.00090064143,0.0001169218,0.9820927,0.00019569958,0.00045728407,0.00002181098,0.0000062934096,0.00007990987,0.00013247076,0.010784482,0.0050530992,0.00015869983],"about_ca_topic_score_codex":0.0005639004,"about_ca_topic_score_gemma":0.000101324345,"teacher_disagreement_score":0.029651267,"about_ca_system_score_codex":0.00017330739,"about_ca_system_score_gemma":0.000043582306,"threshold_uncertainty_score":0.7218835},"labels":[],"label_agreement":null},{"id":"W1967460900","doi":"10.1158/1055-9965.epi-06-0257","title":"Endometrial Cancer Risk Is Associated with Variants of the Mismatch Repair Genes <i>MLH1</i> and <i>MSH2</i>","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Coalition for Research in Women's Health; University of Toronto","funders":"","keywords":"Endometrial cancer; MLH1; MSH2; Colorectal cancer; Odds ratio; Allele; Internal medicine; Medicine; Oncology; Cancer; Single-nucleotide polymorphism; DNA mismatch repair; Gastroenterology; Genetics; Biology; Genotype; Gene","score_opus":0.030149721467506243,"score_gpt":0.3147083540518645,"score_spread":0.28455863258435826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967460900","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":[0.9646088,0.030027622,0.00025290909,0.0021006765,0.001275427,0.0011204241,0.00017621947,0.000077266064,0.0003606955],"genre_scores_gemma":[0.9915218,0.003981559,0.001682026,0.00079821295,0.00033056684,0.00031062317,0.000036971942,0.000044567838,0.0012937025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968446,0.00096820295,0.00082313555,0.0006374535,0.00026152493,0.00046511734],"domain_scores_gemma":[0.9972346,0.0009433146,0.0010160581,0.00047241728,0.00022923485,0.00010438686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018337654,0.00029996858,0.00083988655,0.00012551855,0.00015346202,0.0000050000717,0.00015779455,0.00036769224,0.0002510895],"category_scores_gemma":[0.0009992558,0.00020079468,0.00032197023,0.00061432336,0.0005776609,0.000062028645,0.00008990472,0.00027629838,0.0000014674451],"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":[0.001142924,0.00010549967,0.9586629,0.000082140876,0.0011667507,0.0000025494323,0.000048010344,0.000060787952,0.0064714267,0.000018274975,0.025485545,0.0067531513],"study_design_scores_gemma":[0.004285282,0.00045363858,0.97933125,0.00063319,0.0013636976,0.000021652788,0.00002792309,0.00036363603,0.0085158385,0.0020140859,0.0027452616,0.00024453827],"about_ca_topic_score_codex":0.0044378033,"about_ca_topic_score_gemma":0.0026294696,"teacher_disagreement_score":0.02691301,"about_ca_system_score_codex":0.00033130049,"about_ca_system_score_gemma":0.00037631736,"threshold_uncertainty_score":0.81881696},"labels":[],"label_agreement":null},{"id":"W1968710618","doi":"10.1158/1055-9965.epi-05-0136","title":"Positive and Negative Associations of Human Leukocyte Antigen Variants with the Onset and Prognosis of Adult Glioblastoma Multiforme","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","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":"Immunovaccine (Canada)","funders":"National Cancer Institute; University of California, San Francisco","keywords":"Glioblastoma; Haplotype; Human leukocyte antigen; Allele; Medicine; Glioma; Internal medicine; Oncology; Genotype; Hazard ratio; Logistic regression; Biology; Immunology; Gastroenterology; Gene; Antigen; Genetics; Cancer research","score_opus":0.02330802815628676,"score_gpt":0.31687006669636664,"score_spread":0.2935620385400799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968710618","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":[0.9837407,0.013277503,0.00020040055,0.0020046597,0.00007156844,0.0005343347,0.00011235474,0.000016111315,0.00004236954],"genre_scores_gemma":[0.9972765,0.001699676,0.00039996047,0.00017869912,0.000012425218,0.00008675233,0.00005836993,0.000012307045,0.00027530425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753344,0.0013967864,0.00050538394,0.00026701743,0.000027764505,0.00026960546],"domain_scores_gemma":[0.9976856,0.0012253013,0.0007272955,0.00016433353,0.00018182423,0.000015650556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091525796,0.00018022984,0.00050011795,0.0001148308,0.0002860444,0.0000035058908,0.00011845897,0.00024010961,0.00006278545],"category_scores_gemma":[0.00027152416,0.00012365983,0.0000902625,0.00014255256,0.0010845915,0.00014729415,0.00005089026,0.0001654596,0.0000024317553],"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":[0.0056100446,0.00033706144,0.52216053,0.00006177552,0.005762231,7.7273904e-7,0.0038618033,0.000008548843,0.39390376,0.0010522979,0.0016555362,0.065585665],"study_design_scores_gemma":[0.0019182081,0.00093086006,0.8567025,0.0002143007,0.00017496991,0.000021029711,0.00046905896,0.000018841314,0.13886486,0.0003095084,0.00024158102,0.00013429715],"about_ca_topic_score_codex":0.0008362031,"about_ca_topic_score_gemma":0.0009128806,"teacher_disagreement_score":0.33454198,"about_ca_system_score_codex":0.00005496348,"about_ca_system_score_gemma":0.000080570855,"threshold_uncertainty_score":0.50427014},"labels":[],"label_agreement":null},{"id":"W1969592309","doi":"10.1158/1055-9965.epi-07-0129","title":"<i>AURKA</i>F31I Polymorphism and Breast Cancer Risk in<i>BRCA1</i>and<i>BRCA2</i>Mutation Carriers: A Consortium of Investigators of Modifiers of BRCA1/2 Study","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Coalition for Research in Women's Health; Université Laval; Cancer Care Ontario; Centre hospitalier universitaire de Québec; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Research Resources; Medical Research Council; National Health and Medical Research Council; Leids Universitair Medisch Centrum; National Breast Cancer Foundation; National Cancer Institute; Cancer Research UK","keywords":"Breast cancer; Oncology; Hazard ratio; Medicine; Internal medicine; Cancer; BRCA mutation; Allele; Cancer research; Confidence interval; Biology; Genetics; Gene","score_opus":0.02284100311560871,"score_gpt":0.3302144946101334,"score_spread":0.3073734914945247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969592309","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":[0.9757132,0.021005968,0.001596075,0.00029143182,0.00037746257,0.00073693827,0.00022773078,0.0000086600785,0.00004254766],"genre_scores_gemma":[0.9952879,0.0029530325,0.0013106713,0.00012263746,0.00007577467,0.0001322483,0.000055924782,0.000029490848,0.000032296044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682295,0.0007034444,0.0012880743,0.00066481525,0.00014847869,0.0003722218],"domain_scores_gemma":[0.9977251,0.00022767698,0.0012693661,0.0003968815,0.00023388599,0.0001470706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028176354,0.00027329847,0.0006610188,0.0002850976,0.00006108401,0.0000029810437,0.00017757126,0.0003465117,0.000019136314],"category_scores_gemma":[0.00047902396,0.0002827374,0.00013410019,0.0003634583,0.001089033,0.000023158445,0.000114802046,0.00016605145,1.6334222e-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":[0.00075872213,0.00014227632,0.8919109,0.00014660506,0.0008654486,0.0000017635642,0.00078662817,0.0004073248,0.087121524,0.000073963405,0.0003519473,0.017432857],"study_design_scores_gemma":[0.002982038,0.00050792116,0.9345105,0.00022091538,0.0003939105,0.000021522015,0.0017646255,0.00024504628,0.057374597,0.0015225131,0.0001446985,0.00031169958],"about_ca_topic_score_codex":0.0042078584,"about_ca_topic_score_gemma":0.003157187,"teacher_disagreement_score":0.042599574,"about_ca_system_score_codex":0.0001409533,"about_ca_system_score_gemma":0.0004419867,"threshold_uncertainty_score":0.99996245},"labels":[],"label_agreement":null},{"id":"W1970799375","doi":"10.1158/1055-9965.epi-07-0369","title":"Use of Sun-Protective Clothing at Outdoor Leisure Settings from 1992 to 2002: Serial Cross-sectional Observation Survey","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Skin Protection and Aging","field":"Medicine","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":"Western University","funders":"","keywords":"Demography; Clothing; Population; Odds; Geography; Cross-sectional study; Confidence interval; Observational study; Psychology; Environmental health; Gerontology; Medicine; Logistic regression; Sociology","score_opus":0.21290836918518752,"score_gpt":0.3985120930505835,"score_spread":0.18560372386539598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970799375","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":[0.98148453,0.00052954734,0.013519406,0.0014897757,0.0015226047,0.0011614952,0.00016593488,0.00010735899,0.000019321074],"genre_scores_gemma":[0.98494196,0.0001158185,0.010185915,0.0011924985,0.0006146635,0.00029603476,0.0006625279,0.000047779093,0.0019428097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964429,0.0012088047,0.0010003457,0.00072814786,0.00022387727,0.00039592362],"domain_scores_gemma":[0.99745345,0.0010267197,0.00066095043,0.00032360226,0.00035255434,0.00018274259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027446665,0.00025593003,0.000662127,0.00019505608,0.00032534156,0.000010444517,0.00010630673,0.00041483197,0.0006323644],"category_scores_gemma":[0.0034123345,0.00025077022,0.00026850897,0.00038726057,0.0001911483,0.00029729013,0.00009424757,0.00030969418,0.00003671089],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028920483,0.00005725841,0.96028405,0.000040893046,0.00038322288,0.0000048816423,0.00015842139,0.0003081765,0.028003136,0.000011127118,0.0064608096,0.0013959502],"study_design_scores_gemma":[0.0013843811,0.00018961223,0.9888985,0.00024675322,0.00006028264,0.000034136625,0.000014200559,0.00065704377,0.0057594487,0.00028761846,0.002257463,0.00021052996],"about_ca_topic_score_codex":0.014737822,"about_ca_topic_score_gemma":0.0016052446,"teacher_disagreement_score":0.028614454,"about_ca_system_score_codex":0.0005821234,"about_ca_system_score_gemma":0.00018501563,"threshold_uncertainty_score":0.99999446},"labels":[],"label_agreement":null},{"id":"W1972368837","doi":"10.1158/1055-9965.epi-06-0447","title":"Childhood Cancer Research Network: a North American Pediatric Cancer Registry","year":2006,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":27,"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":"National Cancer Institute","keywords":"Childhood cancer; Medicine; Cancer; Epidemiology; Pediatric cancer; Incidence (geometry); Malignancy; Epidemiology of cancer; Clinical trial; Translational research; Cancer registry; Cancer incidence; Pediatrics; Gerontology; Demography; Breast cancer; Pathology; Internal medicine","score_opus":0.06839135716381874,"score_gpt":0.44129082420199556,"score_spread":0.37289946703817684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972368837","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":[0.04726645,0.19153818,0.00026444526,0.01742858,0.7359766,0.00414436,0.0022354354,0.00059756514,0.0005484241],"genre_scores_gemma":[0.0032611801,0.10577882,0.0010967981,0.0014269571,0.8711387,0.0046321806,0.00546974,0.00042357002,0.0067720735],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9807312,0.0060538864,0.003502996,0.0035522257,0.0023072164,0.0038524703],"domain_scores_gemma":[0.9844553,0.0064926436,0.0040845005,0.0022956545,0.001693593,0.0009782994],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.012201158,0.0015164734,0.0043496964,0.0009795285,0.00083100924,0.00006182207,0.0012667474,0.0024325054,0.0005573124],"category_scores_gemma":[0.006003143,0.0015274703,0.0014072782,0.0031875866,0.001789041,0.00024014253,0.0006252973,0.0056043724,0.0000786485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0008824023,0.00028990454,0.32360393,0.0010569382,0.0017350137,0.000027658354,0.00009670894,0.00017114745,0.0000024060844,0.00000768935,0.66253215,0.00959403],"study_design_scores_gemma":[0.0023335067,0.0005252428,0.39680034,0.0018923683,0.0020775993,0.000007336842,0.000057948637,0.000029147357,0.0000038997678,0.00056426396,0.5946107,0.001097636],"about_ca_topic_score_codex":0.11002543,"about_ca_topic_score_gemma":0.13327503,"teacher_disagreement_score":0.13516213,"about_ca_system_score_codex":0.0038786451,"about_ca_system_score_gemma":0.009966546,"threshold_uncertainty_score":0.9999453},"labels":[],"label_agreement":null},{"id":"W1973312779","doi":"10.1158/1055-9965.epi-11-0622","title":"A Framework for Cancer Survivorship Research and Translation to Policy","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","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":"Cancer Care Ontario; Ontario Institute for Cancer Research","funders":"","keywords":"Survivorship curve; Cancer survivorship; Cancer; Translation (biology); Medicine; Psychology; Gerontology; Political science; Internal medicine; Biology","score_opus":0.428297408734179,"score_gpt":0.5185026976967809,"score_spread":0.09020528896260194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973312779","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":[0.67123413,0.05983087,0.15747018,0.09741438,0.0037557525,0.006779324,0.0002218768,0.00029012145,0.0030033651],"genre_scores_gemma":[0.9596833,0.0034062117,0.027982492,0.0025736673,0.0012671559,0.0033755424,0.00007976797,0.000069999325,0.0015618474],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974249,0.0006057304,0.00048668456,0.0006521867,0.00015283986,0.0006776759],"domain_scores_gemma":[0.99777144,0.0010937789,0.00013045648,0.00034601742,0.00030739975,0.0003508914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034939875,0.00020426077,0.0005102056,0.0005658182,0.00017703304,0.000007614406,0.00012462425,0.00040411614,0.00025924796],"category_scores_gemma":[0.0009604538,0.00019115926,0.00016989278,0.00080564205,0.00026066037,0.00009354971,0.000041056395,0.0002987864,0.000008826962],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065136384,0.00018110345,0.50354195,0.00068854884,0.0006993595,0.0000034622265,0.005374266,0.0000023985156,0.0011411963,0.052639693,0.005054244,0.42416012],"study_design_scores_gemma":[0.0019585108,0.001887417,0.4690214,0.0017356998,0.00033752096,0.000013616567,0.0010345707,0.00017042298,0.0018220847,0.47711673,0.044368565,0.00053344434],"about_ca_topic_score_codex":0.019528177,"about_ca_topic_score_gemma":0.020970875,"teacher_disagreement_score":0.42447704,"about_ca_system_score_codex":0.0003143029,"about_ca_system_score_gemma":0.00035525297,"threshold_uncertainty_score":0.9968939},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W1973507522","doi":"10.1158/1055-9965.epi-05-0068","title":"Vitamin D and Calcium Intakes from Food or Supplements and Mammographic Breast Density","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":99,"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; Jewish General Hospital; McGill University; The Quebec Population Health Research Network; Hôpital Charles-Le Moyne; Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Vitamin D and neurology; Medicine; Calcium; Breast cancer; Bayesian multivariate linear regression; Vitamin; Confidence interval; Internal medicine; Physiology; Food frequency questionnaire; Endocrinology; Linear regression; Cancer; Mathematics","score_opus":0.048036008628572414,"score_gpt":0.3446031800535292,"score_spread":0.29656717142495675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973507522","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":[0.983565,0.006876761,0.0015125968,0.0071498463,0.00018639969,0.0003864069,0.00016219339,0.00006320893,0.000097604854],"genre_scores_gemma":[0.99373865,0.0009269581,0.0037573802,0.0009578638,0.00021104807,0.000054422148,0.00021266425,0.00001718326,0.00012384327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983984,0.00020918885,0.00043027883,0.0005102306,0.00008431044,0.0003675808],"domain_scores_gemma":[0.9990911,0.00026061488,0.00017101786,0.00019708736,0.00004758399,0.00023261392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061952684,0.00021880584,0.00047082372,0.00021376356,0.00009870459,0.000015307263,0.000059163194,0.00014758046,0.00013085977],"category_scores_gemma":[0.00009123584,0.00017619359,0.00013736532,0.00020445336,0.00038012338,0.00026255494,0.000061500636,0.00014273515,0.0000030035333],"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":[0.00064630935,0.00007546658,0.74006635,0.000047332505,0.0005817371,0.000005737852,0.00003917779,1.6469802e-7,0.00071832177,0.00007338473,0.0021833011,0.2555627],"study_design_scores_gemma":[0.0020162538,0.00030302777,0.9906031,0.00033216842,0.0003853838,0.00033143006,0.00011574779,0.00015515003,0.00033536457,0.0026017486,0.0026254875,0.00019516413],"about_ca_topic_score_codex":0.0003877817,"about_ca_topic_score_gemma":0.000930347,"teacher_disagreement_score":0.25536752,"about_ca_system_score_codex":0.000056403253,"about_ca_system_score_gemma":0.000047285735,"threshold_uncertainty_score":0.7184966},"labels":[],"label_agreement":null},{"id":"W1974159970","doi":"10.1158/1055-9965.epi-07-0495","title":"Prediagnostic C-Peptide and Risk of Prostate Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","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":true,"ca_institutions":"University of British Columbia; Jewish General Hospital; BC Cancer Agency","funders":"","keywords":"Prostate cancer; Medicine; Prospective cohort study; Cancer; Demography; Ethnic group; Norwegian; Cohort; Internal medicine; Gerontology; Oncology; Residence; Cohort study; Prostate-specific antigen; Odds ratio; Gynecology","score_opus":0.016967191649876145,"score_gpt":0.3248929969453627,"score_spread":0.3079258052954866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974159970","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":[0.88832694,0.100459896,0.0035367326,0.000356548,0.0062627285,0.00059022877,0.00017650396,0.000021314045,0.0002690808],"genre_scores_gemma":[0.68778694,0.2892058,0.0052079065,0.0006862498,0.012037593,0.000550441,0.00045456243,0.000090485795,0.003980058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979127,0.00037682595,0.0006260875,0.00054889714,0.00007948201,0.00045601587],"domain_scores_gemma":[0.9986494,0.00023086966,0.0005350586,0.0003123153,0.000119141434,0.00015317593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023166067,0.00022117015,0.00041283114,0.00009176324,0.00008490437,0.0000037061675,0.0001335916,0.00028079498,0.00004826208],"category_scores_gemma":[0.0008195679,0.00020839614,0.00017050254,0.00011857628,0.00037277376,0.000010259821,0.00009181671,0.0001289459,0.0000018148328],"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":[0.000698759,0.000051239294,0.8376172,0.00009208976,0.0006456221,1.3048259e-7,0.000078635,0.000075435135,0.039631788,0.00009385607,0.048255946,0.072759286],"study_design_scores_gemma":[0.001495394,0.0002720878,0.6996852,0.00016584901,0.00040934296,0.000007706191,0.000093849325,0.00004825039,0.010346198,0.0017697798,0.28538674,0.00031958145],"about_ca_topic_score_codex":0.001244144,"about_ca_topic_score_gemma":0.0029261382,"teacher_disagreement_score":0.23713079,"about_ca_system_score_codex":0.00004170028,"about_ca_system_score_gemma":0.00014959548,"threshold_uncertainty_score":0.84981483},"labels":[],"label_agreement":null},{"id":"W1974404744","doi":"10.1158/1055-9965.disp-11-b101","title":"Abstract B101: Cost comparison of high-risk targeted breast MRI vs. mammography in screening underserved women","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Breast cancer; Breast cancer screening; Biopsy; Breast MRI; Breast ultrasound; Population; Breast biopsy; Radiology; Obstetrics; Digital mammography; Breast imaging; Gynecology; Cancer; Internal medicine","score_opus":0.08584979219905622,"score_gpt":0.3423742023942118,"score_spread":0.2565244101951556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974404744","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":[0.9897152,0.003397439,0.0045958916,0.0008252631,0.00032338814,0.000750414,0.00007026248,0.00006225753,0.0002598893],"genre_scores_gemma":[0.9932072,0.00038671496,0.0056985905,0.00016502701,0.00006844528,0.00020730913,0.00017958564,0.00003168405,0.000055441782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99685824,0.0006298392,0.001180407,0.0005513914,0.00014050819,0.0006396125],"domain_scores_gemma":[0.9981051,0.00024454104,0.0008350654,0.00044251888,0.00011792903,0.00025481323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022610289,0.0002801112,0.0010586447,0.00044960214,0.00009077089,0.0000028634745,0.00017357428,0.0003751803,0.0010177635],"category_scores_gemma":[0.00011886899,0.00025654043,0.000309306,0.0005227128,0.00037170673,0.00012798123,0.000061277795,0.00040433274,0.000010191702],"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":[0.0026945649,0.00039542947,0.9344211,0.00012907457,0.0005462894,0.000008209042,0.00033037557,0.00003074462,0.0007088613,0.00014221335,0.0013205563,0.059272576],"study_design_scores_gemma":[0.002814421,0.000314326,0.99189794,0.0005139898,0.00020018317,0.000019712741,0.00096671894,0.00041232514,0.0003165018,0.0021726862,0.00015665543,0.0002145498],"about_ca_topic_score_codex":0.0065721646,"about_ca_topic_score_gemma":0.0011197893,"teacher_disagreement_score":0.059058025,"about_ca_system_score_codex":0.0002264514,"about_ca_system_score_gemma":0.00012961111,"threshold_uncertainty_score":0.9999887},"labels":[],"label_agreement":null},{"id":"W1975103646","doi":"10.1158/1055-9965.disp-10-a99","title":"Abstract A99: Passive smoking increases the risk of breast cancer among pre-and post-menopausal Mexican women","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Passive smoking; Tobacco smoke; Breast cancer; Incidence (geometry); Demography; Environmental health; Tobacco control; Population; Cancer; Gynecology; Public health; Internal medicine","score_opus":0.015585089860563785,"score_gpt":0.33053185173998,"score_spread":0.3149467618794162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975103646","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":[0.9920135,0.0034606247,0.00003571803,0.002613314,0.00068254786,0.0006759575,0.00037565557,0.000043308733,0.00009938276],"genre_scores_gemma":[0.995009,0.0034308261,0.000084942934,0.0004183035,0.00039927344,0.00042306117,0.000050880994,0.00003182477,0.0001518863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977503,0.00035547704,0.000712189,0.00050541875,0.00016121168,0.0005154054],"domain_scores_gemma":[0.99743026,0.0007613452,0.00092733296,0.00042806496,0.0001860518,0.00026691877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001736597,0.00028158264,0.0006973549,0.00012666512,0.00019452986,0.000009509358,0.00016504584,0.00030064327,0.0007681937],"category_scores_gemma":[0.0005553352,0.00018806255,0.00016971897,0.00017477557,0.0008932695,0.00012146229,0.000086012835,0.00060333655,0.0000012541761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009159466,0.00008624588,0.897561,0.00009744911,0.0012368546,0.0000026541575,0.00042547702,0.000010640381,0.014661279,0.00005052366,0.0006342264,0.084317684],"study_design_scores_gemma":[0.0010535534,0.00022068468,0.99522763,0.00028690172,0.0006446307,0.000027294742,0.00034375553,0.000076248885,0.00040444793,0.0007739912,0.00075205025,0.00018879252],"about_ca_topic_score_codex":0.060775332,"about_ca_topic_score_gemma":0.009894925,"teacher_disagreement_score":0.09766663,"about_ca_system_score_codex":0.00023125968,"about_ca_system_score_gemma":0.00031219813,"threshold_uncertainty_score":0.94547904},"labels":[],"label_agreement":null},{"id":"W1976673192","doi":"10.1158/1055-9965.epi-08-1094","title":"Body Mass Index Before and After Breast Cancer Diagnosis: Associations with All-Cause, Breast Cancer, and Cardiovascular Disease Mortality","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":263,"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 Population and Public Health","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Medicine; Breast cancer; Body mass index; Hazard ratio; National Death Index; Proportional hazards model; Cohort; Cancer; Weight change; Cohort study; Weight gain; Internal medicine; Gynecology; Oncology; Weight loss; Confidence interval; Obesity; Body weight","score_opus":0.03290122505806852,"score_gpt":0.3470828734244584,"score_spread":0.3141816483663899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976673192","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":[0.9239391,0.054838546,0.00038096134,0.017057557,0.00041908066,0.0011649453,0.002079259,0.00009672191,0.000023800836],"genre_scores_gemma":[0.96436685,0.031393863,0.00008539778,0.0014282977,0.00045609506,0.0019368076,0.000171703,0.000037544833,0.00012342964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731386,0.00032453984,0.0005670196,0.0009141268,0.00027270065,0.0006077279],"domain_scores_gemma":[0.99835443,0.00008427155,0.00031789765,0.0005004688,0.0001772399,0.00056566345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008505163,0.00040975132,0.00095048593,0.00014400619,0.00016106383,0.000023037106,0.00008630751,0.00028804687,0.00024660534],"category_scores_gemma":[0.000058534468,0.00033006666,0.00033633367,0.00025558722,0.00033048054,0.0002754671,0.00004148501,0.00029772506,0.000001173639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009856847,0.000105783976,0.93884987,0.000113000715,0.0064835567,0.00003259292,0.000056385004,0.000044199267,0.00001584227,0.00003143883,0.002110859,0.051170774],"study_design_scores_gemma":[0.0021684486,0.00012490255,0.98880816,0.00065078464,0.0052176723,0.000041886553,0.000044576962,0.00033441628,0.0000043703158,0.0009522514,0.0013122134,0.0003403262],"about_ca_topic_score_codex":0.008820111,"about_ca_topic_score_gemma":0.005694352,"teacher_disagreement_score":0.050830446,"about_ca_system_score_codex":0.00054631627,"about_ca_system_score_gemma":0.0003562938,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W1977286556","doi":"10.1158/1055-9965.epi-14-0566","title":"Evaluation of Human Papillomavirus Type Replacement Postvaccination Must Account for Diagnostic Artifacts: Masking of HPV52 by HPV16 in Anogenital Specimens","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":31,"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 HIV Treatment Network; Kingston Health Sciences Centre; McGill University; Université de Montréal; McGill University Health Centre","funders":"National Cancer Institute; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"Human papillomavirus; Masking (illustration); Virology; Medicine; Internal medicine","score_opus":0.14240423650615872,"score_gpt":0.4714111203512163,"score_spread":0.3290068838450576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977286556","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":[0.98604244,0.006770121,0.0022621714,0.001163981,0.0003464687,0.0022237636,0.000037739144,0.000017514692,0.001135822],"genre_scores_gemma":[0.9980228,0.00053347094,0.00036499157,0.000117926014,0.00012180941,0.00034591253,0.00038090692,0.000019737845,0.000092447524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707276,0.0008472035,0.00093678426,0.00041032708,0.00039855944,0.00033437624],"domain_scores_gemma":[0.9971219,0.0011636523,0.00047344732,0.00029461615,0.0008607795,0.00008561339],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008511265,0.00015479994,0.0005591589,0.00023053082,0.000052636417,0.0000031330349,0.000096385236,0.00018705102,0.0014270232],"category_scores_gemma":[0.004635968,0.00014565382,0.00014845336,0.00026415935,0.00010499779,0.000111279965,0.000041760522,0.0001264779,0.000003883154],"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":[0.0038315223,0.00070235314,0.5101746,0.0008882757,0.0007020676,7.0954786e-7,0.00022931356,0.00019659499,0.10021238,0.0008718627,0.0064041675,0.37578616],"study_design_scores_gemma":[0.006521515,0.0021217181,0.95460284,0.00033955078,0.00068720593,0.0000020483164,0.00013261096,0.00648641,0.018729337,0.009250122,0.0009370503,0.00018958238],"about_ca_topic_score_codex":0.00051046576,"about_ca_topic_score_gemma":0.00068573264,"teacher_disagreement_score":0.44442827,"about_ca_system_score_codex":0.0006806187,"about_ca_system_score_gemma":0.00021446773,"threshold_uncertainty_score":0.9994858},"labels":[],"label_agreement":null},{"id":"W1982352048","doi":"10.1158/1055-9965.epi-11-1081","title":"Light Exposure and Melatonin among Rotating Shift Nurses—Letter","year":2012,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Melatonin; Light pollution; Shift work; Circadian rhythm; Light intensity; Medicine; Physiology; Internal medicine; Physics; Optics","score_opus":0.043921712854335715,"score_gpt":0.3197955389973697,"score_spread":0.27587382614303396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982352048","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2181332,0.04170251,0.00045752985,0.7246547,0.010854549,0.0020791083,0.00010544318,0.000382611,0.0016303883],"genre_scores_gemma":[0.16352579,0.002003178,0.0010867859,0.8064196,0.014445422,0.0015087103,0.00028725385,0.00034801793,0.010375229],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99263173,0.0028121055,0.0011658416,0.0016287825,0.00026724362,0.00149428],"domain_scores_gemma":[0.9960473,0.0017165255,0.0012092197,0.00071665685,0.00003720296,0.00027308645],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001708536,0.0007594146,0.0011557505,0.00035846533,0.00034958773,0.00004606861,0.00041081166,0.0022042224,0.0005218646],"category_scores_gemma":[0.0009245675,0.0007215375,0.00044692334,0.00027585268,0.000577648,0.0004885753,0.00016710593,0.0021576036,0.00014072884],"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":[0.000042403764,0.000026369433,0.16874704,0.00024117209,0.00018851813,0.00012790071,0.00044844198,0.0000019466372,0.0019169773,0.00039314403,0.81471306,0.013153031],"study_design_scores_gemma":[0.0008381018,0.000103269274,0.11749933,0.0009003906,0.00043991307,0.00011805895,0.000017897917,0.00007777378,0.005674239,0.0025321199,0.8706977,0.0011012431],"about_ca_topic_score_codex":0.000104686165,"about_ca_topic_score_gemma":0.000039157687,"teacher_disagreement_score":0.081764944,"about_ca_system_score_codex":0.00020778208,"about_ca_system_score_gemma":0.000120571,"threshold_uncertainty_score":0.9995236},"labels":[],"label_agreement":null},{"id":"W1983522353","doi":"10.1158/1055-9965.epi-14-0431","title":"Sun Exposure and Melanoma Survival: A GEM Study","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"CARE Canada; Cancer Care Ontario; BC Cancer Agency; Women's College Hospital","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Sunburn; Medicine; Melanoma; Sun exposure; Population; Sunlight; Dermatology; Environmental health; Cancer research","score_opus":0.0474402183220256,"score_gpt":0.3501695936354707,"score_spread":0.30272937531344507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983522353","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":[0.98402333,0.0026096327,0.004322637,0.0039787986,0.0013756707,0.0012829086,0.0000025448423,0.00017272074,0.0022317714],"genre_scores_gemma":[0.99415225,0.00034365576,0.00065483944,0.0007014836,0.00026059858,0.00019551328,0.00002230928,0.00002438009,0.003644954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976374,0.00092318404,0.00048769487,0.00052847003,0.00011034388,0.0003129187],"domain_scores_gemma":[0.9989005,0.00030721552,0.00020810046,0.0003573936,0.000058014433,0.00016878665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022770257,0.00019850957,0.00054320815,0.00015346665,0.00011286244,0.000008200284,0.000071140355,0.00014696736,0.0002527024],"category_scores_gemma":[0.00040940027,0.00017308854,0.0001244917,0.00013783117,0.00010991369,0.00004973873,0.00007484242,0.00014736841,0.000030356767],"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":[0.00064906693,0.00026365084,0.8417464,0.00009995134,0.00082821574,0.000020904243,0.00014124165,0.0000042967094,0.0006232522,0.000536188,0.0048964377,0.15019041],"study_design_scores_gemma":[0.0032453658,0.0022068948,0.9433426,0.00011036668,0.00055289804,0.000094768046,0.00058893237,0.0006296958,0.00006188241,0.0018776216,0.047046557,0.00024239515],"about_ca_topic_score_codex":0.0002686365,"about_ca_topic_score_gemma":0.00061260513,"teacher_disagreement_score":0.14994802,"about_ca_system_score_codex":0.000100775535,"about_ca_system_score_gemma":0.000029966353,"threshold_uncertainty_score":0.7058346},"labels":[],"label_agreement":null},{"id":"W1983689010","doi":"10.1158/1055-9965.epi-06-1090","title":"GATA-3 Expression in Breast Cancer Has a Strong Association with Estrogen Receptor but Lacks Independent Prognostic Value","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metastasis and carcinoma case studies","field":"Medicine","cited_by":160,"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 Advancing Health Outcomes; Vancouver Coastal Health Research Institute; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Breast cancer; Estrogen receptor; Immunohistochemistry; Medicine; Oncology; Internal medicine; Tissue microarray; Tamoxifen; Progesterone receptor; Univariate analysis; Cancer; Lymph node; Multivariate analysis; Cancer research","score_opus":0.07595319379642763,"score_gpt":0.3403878375948105,"score_spread":0.2644346437983829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983689010","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":[0.9789008,0.012763021,0.0006536682,0.0058448175,0.0004423619,0.0010920672,0.00011801458,0.000059950213,0.00012531412],"genre_scores_gemma":[0.99213344,0.0033486239,0.0018903062,0.00035030738,0.0003146653,0.0010161494,0.00018629327,0.00003731411,0.00072291034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99667776,0.00094212405,0.00075147673,0.0006767461,0.00033078255,0.00062109175],"domain_scores_gemma":[0.9983422,0.0003390544,0.00064266444,0.00028921632,0.00020636877,0.00018045196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017163032,0.00031456148,0.00084822194,0.00018508907,0.000221708,0.0000074652094,0.00009967216,0.00029190638,0.0004362192],"category_scores_gemma":[0.00038889723,0.00024335823,0.00020543057,0.0002799535,0.00020976896,0.00016327445,0.00006952284,0.00035998685,0.000016710845],"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":[0.0011087076,0.000185998,0.9777449,0.000099106546,0.00062690093,0.000038961196,0.00015290579,0.000058107307,0.0043651564,0.000030938343,0.0111901555,0.004398199],"study_design_scores_gemma":[0.002905636,0.00025037065,0.9918779,0.0010123706,0.00039801502,0.0001189449,0.00026480577,0.00018143089,0.0014049943,0.00008699388,0.0012445335,0.00025398686],"about_ca_topic_score_codex":0.0011959615,"about_ca_topic_score_gemma":0.0003409273,"teacher_disagreement_score":0.014133055,"about_ca_system_score_codex":0.0010991751,"about_ca_system_score_gemma":0.0005045586,"threshold_uncertainty_score":0.99238604},"labels":[],"label_agreement":null},{"id":"W1984329062","doi":"10.1158/1055-9965.epi-14-0796","title":"Temporal Trends in Thyroid Cancer Incidence in California—Letter","year":2014,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario; University Health Network","funders":"","keywords":"Demography; Poisson regression; Confidence interval; Incidence (geometry); Poisson distribution; Medicine; Thyroid cancer; Percentile; Rate ratio; Statistics; Interquartile range; Geography; Cancer; Mathematics; Population; Internal medicine","score_opus":0.13630164561567937,"score_gpt":0.42061412721369335,"score_spread":0.284312481598014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984329062","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023924809,0.028135998,0.00054712105,0.94346374,0.0018265836,0.0009824716,0.00012082022,0.00011886398,0.00087960024],"genre_scores_gemma":[0.05556012,0.0025618784,0.0013447072,0.9273085,0.0058510276,0.0015591434,0.0020221188,0.00013425684,0.0036582204],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927159,0.0017217622,0.0019988054,0.0015951295,0.00046126693,0.0015071447],"domain_scores_gemma":[0.99696755,0.0005330195,0.0013612692,0.0008087928,0.00013542485,0.0001939252],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0035252138,0.00078807154,0.002188174,0.0012868865,0.00007852478,0.000016422262,0.000494121,0.0022857885,0.0013277336],"category_scores_gemma":[0.0005757856,0.000731453,0.00060625095,0.0009996864,0.00041187162,0.00021395725,0.00014387908,0.0029442047,0.000082677136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030632355,0.000020215613,0.42433724,0.00017533748,0.00013965894,0.00031819585,0.000027288355,0.00004219689,0.000043602282,0.000003188042,0.56176764,0.012819118],"study_design_scores_gemma":[0.0026334953,0.00032965787,0.26462963,0.0055996315,0.00037387447,0.00010383199,0.000022193231,0.00080529647,0.000034215245,0.0016800108,0.7228746,0.0009135842],"about_ca_topic_score_codex":0.021793285,"about_ca_topic_score_gemma":0.016295131,"teacher_disagreement_score":0.16110693,"about_ca_system_score_codex":0.0022027397,"about_ca_system_score_gemma":0.00053732574,"threshold_uncertainty_score":0.9995852},"labels":[],"label_agreement":null},{"id":"W1988329701","doi":"10.1158/1055-9965.epi-06-0290","title":"Influence of Patterns of Hormone Replacement Therapy Use and Mammographic Density on Breast Cancer Detection","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sunnybrook Health Science Centre; Western University; Cancer Care Ontario; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Breast Cancer Research Alliance; National Cancer Institute; Cancer Care Ontario","keywords":"Medicine; Confidence interval; Odds ratio; Breast cancer; Mammography; Cancer; Gynecology; Hormone replacement therapy (female-to-male); MAMMOGRAPHIC DENSITY; Logistic regression; Internal medicine; Retrospective cohort study; Breast cancer screening; Oncology; Obstetrics","score_opus":0.024890077772836677,"score_gpt":0.3057071441140577,"score_spread":0.280817066341221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988329701","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":[0.99440163,0.003725907,0.0006550013,0.0006267369,0.00007235791,0.000407087,0.00006302259,0.00002749336,0.000020743451],"genre_scores_gemma":[0.995783,0.0037206577,0.00011933873,0.00019716255,0.000042848515,0.00006489938,0.00002691737,0.00001249049,0.000032726326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856144,0.00020639802,0.0005432591,0.00034685814,0.00011525432,0.00022681475],"domain_scores_gemma":[0.9989041,0.00018078598,0.00046111818,0.00023562959,0.0001506999,0.000067655485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006359995,0.00016945352,0.00044026048,0.00028083115,0.000043590975,0.000004215881,0.000047736386,0.00011662252,0.000010053936],"category_scores_gemma":[0.00004788496,0.00014404,0.0001872165,0.0002652134,0.00024656,0.00019970545,0.000019503195,0.00010598314,2.717457e-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":[0.0028806238,0.00016403568,0.9254486,0.0000758503,0.00034373815,0.0000016424852,0.000010990618,0.00008353336,0.030622786,0.00007488138,0.00011290222,0.04018041],"study_design_scores_gemma":[0.0016528792,0.00047201366,0.9879834,0.00044935287,0.00013520863,0.00004736031,0.000012816235,0.00007152835,0.008179689,0.000814964,0.000070221045,0.00011058462],"about_ca_topic_score_codex":0.0052445144,"about_ca_topic_score_gemma":0.00037029004,"teacher_disagreement_score":0.06253478,"about_ca_system_score_codex":0.000061248276,"about_ca_system_score_gemma":0.00003624774,"threshold_uncertainty_score":0.79281723},"labels":[],"label_agreement":null},{"id":"W1988699876","doi":"10.1158/1055-9965.epi-08-0638","title":"A Prospective Study of Dietary Folate and Vitamin B and Colon Cancer According to Microsatellite Instability and <i>KRAS</i> Mutational Status","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":46,"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; Gary Bennett Family Fund; National Cancer Institute; Entertainment Industry Foundation","keywords":"KRAS; Microsatellite instability; Colorectal cancer; Internal medicine; Medicine; Gastroenterology; MLH1; Relative risk; Prospective cohort study; Oncology; Cancer; Biology; Confidence interval; Allele; DNA mismatch repair; Microsatellite; Genetics; Gene","score_opus":0.06139150129997923,"score_gpt":0.3714367624102741,"score_spread":0.3100452611102949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988699876","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":[0.9815811,0.0154589405,0.00007941028,0.0005061451,0.00027223717,0.0019993368,0.00005335941,0.000023532119,0.000025972877],"genre_scores_gemma":[0.99318784,0.0038208873,0.0021057397,0.00025879,0.000047320427,0.0004919299,0.000017193397,0.000019368365,0.00005090558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787056,0.0003935157,0.0005769499,0.0006887381,0.00012401224,0.0003462163],"domain_scores_gemma":[0.9986979,0.0004832274,0.00026128994,0.00017784181,0.00016465421,0.0002151054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078257604,0.00022827243,0.00066130975,0.00013424655,0.00014280103,0.0000040964615,0.000044777487,0.0001492697,0.000024762852],"category_scores_gemma":[0.00040947035,0.00020937448,0.00005296951,0.00022226875,0.00046100852,0.000095363415,0.0001203953,0.00016632622,4.0510946e-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":[0.002046155,0.0001705571,0.9476978,0.00016342892,0.00041574513,0.000006193121,0.0020657436,0.000013713229,0.025272274,0.0000044067824,0.000117845855,0.02202609],"study_design_scores_gemma":[0.0024464168,0.0020578464,0.9916615,0.00017763516,0.00024868653,0.00004068536,0.0008499469,0.00009487234,0.0014789702,0.00067003054,0.000099327845,0.00017410492],"about_ca_topic_score_codex":0.0020977857,"about_ca_topic_score_gemma":0.0016993113,"teacher_disagreement_score":0.04396363,"about_ca_system_score_codex":0.00028798264,"about_ca_system_score_gemma":0.0001985112,"threshold_uncertainty_score":0.85380435},"labels":[],"label_agreement":null},{"id":"W1993255028","doi":"10.1158/1055-9965.epi-06-0870","title":"Cardiovascular Risk Profile of Patients with HER2/neu-Positive Breast Cancer Treated with Anthracycline-Taxane–Containing Adjuvant Chemotherapy and/or Trastuzumab","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":111,"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":"Medicine; Ejection fraction; Internal medicine; Cardiorespiratory fitness; Breast cancer; Anthracycline; Cardiology; Trastuzumab; Taxane; Oncology; Chemotherapy; Body mass index; Cancer; Gastroenterology; Endocrinology; Heart failure","score_opus":0.016431193373763024,"score_gpt":0.30601961544402206,"score_spread":0.28958842207025903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993255028","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":[0.9863824,0.004211005,0.006860161,0.00039201792,0.00009099588,0.0017061456,0.00021191368,0.000064065265,0.00008125644],"genre_scores_gemma":[0.9943418,0.0026087156,0.001993598,0.00028269284,0.00016590681,0.00017904089,0.0002816841,0.00005810837,0.00008847398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974982,0.0004249267,0.00066036114,0.0006734531,0.000255481,0.00048754702],"domain_scores_gemma":[0.99813455,0.0002947928,0.0006833274,0.00035298802,0.00034391374,0.0001904088],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015735126,0.00036594618,0.0011796975,0.00016917208,0.00013468477,0.000004957595,0.00007334566,0.00030325938,0.00011653692],"category_scores_gemma":[0.00007756963,0.00025072516,0.00030282055,0.00035776081,0.00042331085,0.00016485841,0.000015763055,0.000276308,7.5147466e-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":[0.015703661,0.00022827068,0.699777,0.00013048656,0.0046589966,0.000012627541,0.0002721426,0.000033391734,0.0025899853,0.0000038123687,0.00006736288,0.27652225],"study_design_scores_gemma":[0.009919936,0.0017749114,0.95443434,0.0011762984,0.001432401,0.000059215385,0.00035343657,0.00010962071,0.030270008,0.000025692254,0.00014352333,0.0003006114],"about_ca_topic_score_codex":0.001928472,"about_ca_topic_score_gemma":0.0005914094,"teacher_disagreement_score":0.27622166,"about_ca_system_score_codex":0.0003938371,"about_ca_system_score_gemma":0.00023015583,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W1993836791","doi":"10.1158/1055-9965.epi-05-0896","title":"Common Genetic Variation at <i>PTEN</i> and Risk of Sporadic Breast and Prostate Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","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":"Immunovaccine (Canada)","funders":"Ministerio de Economía y Competitividad; University of Southern California","keywords":"PTEN; Single-nucleotide polymorphism; Breast cancer; Prostate cancer; Loss of heterozygosity; Linkage disequilibrium; Genetics; Biology; Haplotype; Oncology; Locus (genetics); Genetic association; Allele; Medicine; Genotype; Cancer; Gene","score_opus":0.010984273047792712,"score_gpt":0.2866421771829697,"score_spread":0.275657904135177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993836791","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":[0.9408522,0.056557957,0.0011349587,0.00043941868,0.00032152867,0.0003950355,0.00023304428,0.000016222088,0.000049633312],"genre_scores_gemma":[0.98079264,0.016525377,0.0014531908,0.00014111499,0.00026822402,0.00017432202,0.0002198511,0.00003141328,0.0003938472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787265,0.00053774635,0.000582401,0.000597734,0.000082905404,0.00032656323],"domain_scores_gemma":[0.9987648,0.00009249944,0.0006794891,0.00028845324,0.000089367284,0.00008538269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000902733,0.00023418614,0.00039071686,0.00006716859,0.00012411631,0.0000063029697,0.000106297935,0.00029237795,0.000040365194],"category_scores_gemma":[0.000060543494,0.00022839186,0.00009930618,0.000100003235,0.00038682364,0.000010690971,0.000114006696,0.00009948146,0.0000010997036],"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":[0.00043753692,0.000032236734,0.8558271,0.00008022217,0.0003077322,9.088701e-7,0.000025035572,0.00035764478,0.11946348,0.00002664569,0.003076235,0.020365227],"study_design_scores_gemma":[0.0011519672,0.00018393088,0.98103225,0.00013097192,0.0003129122,0.000039735096,0.00000926402,0.00069209695,0.010339296,0.0027817017,0.0030511012,0.00027478446],"about_ca_topic_score_codex":0.0037046855,"about_ca_topic_score_gemma":0.0021296558,"teacher_disagreement_score":0.12520514,"about_ca_system_score_codex":0.00009614256,"about_ca_system_score_gemma":0.00009023407,"threshold_uncertainty_score":0.93135494},"labels":[],"label_agreement":null},{"id":"W1994648461","doi":"10.1158/1055-9965.epi-15-0052","title":"Statin Use and Survival from Lung Cancer: A Population-Based Cohort Study","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"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":"Queen's University; Queen's University Belfast; Public Health Agency; National Institute for Health and Care Research","keywords":"Medicine; Lung cancer; Statin; Internal medicine; Cancer; Confounding; Population; Cohort; Proportional hazards model; Cancer registry; Oncology; Cohort study; Confidence interval; Environmental health","score_opus":0.047717636269562116,"score_gpt":0.36243182061278045,"score_spread":0.31471418434321835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994648461","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":[0.9683839,0.018632745,0.0031864778,0.00042122553,0.008080224,0.0010001137,0.00023886554,0.000033829678,0.000022619888],"genre_scores_gemma":[0.9864871,0.002185162,0.0019048824,0.00063639163,0.0053012897,0.0008829373,0.0019970047,0.00005414468,0.00055109576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969009,0.0012270157,0.00055861025,0.00079746026,0.00014385443,0.000372144],"domain_scores_gemma":[0.9986304,0.00018840216,0.00034910996,0.00042341987,0.00016988875,0.00023875746],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017108304,0.0002716577,0.0005274746,0.00007504437,0.00010271395,0.000021518788,0.00014590379,0.00024797852,0.00005590734],"category_scores_gemma":[0.00068758935,0.00026672377,0.00012432637,0.000111407535,0.000112495494,0.000022022592,0.000082404644,0.00011533994,0.0000015975758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047646795,0.00008713771,0.96382666,0.000013590173,0.0005631609,1.496163e-7,0.00005725521,0.00030894618,0.002044289,0.000015384943,0.029081345,0.003525636],"study_design_scores_gemma":[0.0022651064,0.0001615026,0.97129923,0.00004346362,0.00034153767,6.507092e-7,0.00013520572,0.00087446073,0.000121274046,0.00030005028,0.024151294,0.0003062159],"about_ca_topic_score_codex":0.02527421,"about_ca_topic_score_gemma":0.013867055,"teacher_disagreement_score":0.018103192,"about_ca_system_score_codex":0.00013585966,"about_ca_system_score_gemma":0.00033435432,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W1994800186","doi":"10.1158/1055-9965.disp12-a34","title":"Abstract A34: How important is comprehensive rearrangement testing for BRCA mutations in African American women with early-onset breast cancer?","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Genetic testing; Medicine; Breast cancer; Multiplex ligation-dependent probe amplification; BRCA mutation; Genetic counseling; Cancer; Oncology; Multiplex; Genetics; Gynecology; Internal medicine; Gene; Biology","score_opus":0.04847097147859136,"score_gpt":0.34917465749953297,"score_spread":0.3007036860209416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994800186","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":[0.98718524,0.0040847748,0.0011824222,0.005500876,0.0003384487,0.0009819588,0.0006584319,0.000027220562,0.000040608913],"genre_scores_gemma":[0.9868729,0.00043632073,0.0078670615,0.0008711934,0.00034722706,0.0031307307,0.00029859773,0.000054115786,0.00012186564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752676,0.00026851945,0.0005651538,0.00065140653,0.000114851035,0.0008733022],"domain_scores_gemma":[0.9981805,0.00024224607,0.0007339302,0.00038994884,0.00025064393,0.00020273741],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009461988,0.0003153543,0.00045605397,0.00014826863,0.0001579587,0.00001583156,0.000202907,0.00016939001,0.00006547434],"category_scores_gemma":[0.00017129636,0.00029953272,0.00011118772,0.0003973924,0.0004275181,0.000030242134,0.000063203275,0.00014648538,0.0000018406868],"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":[0.0008285099,0.0001222787,0.910734,0.00007534881,0.00069990184,0.0000012303511,0.0005651237,0.00012674108,0.04007573,0.000005807512,0.0075837695,0.039181583],"study_design_scores_gemma":[0.001127595,0.00041727853,0.9864624,0.000118280805,0.00010473887,0.000021146747,0.0012732401,0.00014178926,0.0021909727,0.0002745841,0.007453514,0.00041447248],"about_ca_topic_score_codex":0.0018213129,"about_ca_topic_score_gemma":0.0013607211,"teacher_disagreement_score":0.07572841,"about_ca_system_score_codex":0.00066960545,"about_ca_system_score_gemma":0.0003873735,"threshold_uncertainty_score":0.9999457},"labels":[],"label_agreement":null},{"id":"W1995152023","doi":"10.1158/1055-9965.epi-04-0596","title":"Centralized Blood Processing for the Selenium and Vitamin E Cancer Prevention Trial: Effects of Delayed Processing on Carotenoids, Tocopherols, Insulin-Like Growth Factor-I, Insulin-Like Growth Factor Binding Protein 3, Steroid Hormones, and Lymphocyte Viability","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"McGill University; Jewish General Hospital","funders":"","keywords":"Sex hormone-binding globulin; Testosterone (patch); IGFBP3; Endocrinology; Internal medicine; Prostate cancer; Insulin-like growth factor; Insulin; Vitamin E; Medicine; Hormone; Chemistry; Growth factor; Androgen; Cancer; Biochemistry; Antioxidant","score_opus":0.03135849920044109,"score_gpt":0.31907548664913116,"score_spread":0.28771698744869006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995152023","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":[0.9358289,0.046944734,0.00342798,0.0013613715,0.000632582,0.011500874,0.00012806099,0.00016737854,0.000008122663],"genre_scores_gemma":[0.9831883,0.009015896,0.002810925,0.00040373637,0.0004667753,0.0036409455,0.00015591222,0.0001289488,0.00018856429],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99375594,0.0011180548,0.002028757,0.001494824,0.00045646125,0.001145955],"domain_scores_gemma":[0.9955772,0.0011996253,0.0017361232,0.00050275156,0.00055651664,0.00042774688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002138185,0.0009054819,0.0017659833,0.00037778824,0.0005783214,0.000057832134,0.00031163587,0.0008398441,0.000019131498],"category_scores_gemma":[0.0013209947,0.00069081766,0.00045546636,0.00062018307,0.00057517627,0.00068375975,0.00013988855,0.0005759644,0.0000015171113],"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":[0.09720762,0.0025271426,0.096459694,0.011835416,0.004068224,0.000008965146,0.0023920173,0.0000177079,0.29741463,0.00011145657,0.00069159624,0.48726553],"study_design_scores_gemma":[0.22056639,0.016031733,0.4784256,0.009450511,0.0075559965,0.000079291276,0.00063888123,0.0069740536,0.25224504,0.002780133,0.0020677792,0.0031845814],"about_ca_topic_score_codex":0.0006467019,"about_ca_topic_score_gemma":0.00017248018,"teacher_disagreement_score":0.48408097,"about_ca_system_score_codex":0.00074741605,"about_ca_system_score_gemma":0.0008015305,"threshold_uncertainty_score":0.9995543},"labels":[],"label_agreement":null},{"id":"W1995435642","doi":"10.1158/1055-9965.epi-14-0893","title":"No Evidence of Gene–Calcium Interactions from Genome-Wide Analysis of Colorectal Cancer Risk","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","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":"University of Ottawa; Amgen (Canada); University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of Environmental Health Sciences; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; U.S. Public Health Service; National Institute on Aging; National Cancer Institute; National Institutes of Health","keywords":"Colorectal cancer; Genome-wide association study; Single-nucleotide polymorphism; Calcium; Logistic regression; SNP; Genetic association; Biology; Population; Genetics; Cancer; Internal medicine; Medicine; Gene; Oncology; Genotype; Environmental health","score_opus":0.07940240671523772,"score_gpt":0.42685965354636596,"score_spread":0.3474572468311282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995435642","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":[0.96127236,0.020694476,0.01515847,0.001357081,0.0005964395,0.0005096529,0.00017507191,0.000030774463,0.00020570113],"genre_scores_gemma":[0.98528516,0.008965219,0.004448468,0.00014355878,0.00018035961,0.00031419835,0.00014005511,0.000017965418,0.00050500844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99632883,0.0014819687,0.0010220662,0.0005590078,0.00022006671,0.00038803695],"domain_scores_gemma":[0.99355406,0.004265809,0.0010086581,0.00044954955,0.0005681389,0.00015379909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024915573,0.00021559326,0.0013021958,0.0004995987,0.000096694,0.0000024575672,0.00020353112,0.00017275066,0.0009095701],"category_scores_gemma":[0.0076289526,0.00018118083,0.00064289157,0.0007967734,0.00058789,0.00012369614,0.00011717891,0.00027347772,0.0000137925335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087636587,0.0001044793,0.91491693,0.00012995767,0.0119192,9.769525e-7,0.00012762663,0.00037543976,0.064095885,0.000006751412,0.0020912034,0.005355154],"study_design_scores_gemma":[0.000616816,0.0004000326,0.97885925,0.0005659376,0.00539006,6.291819e-7,0.000066165005,0.006897122,0.0059993747,0.0002845829,0.0007862992,0.00013374748],"about_ca_topic_score_codex":0.008120888,"about_ca_topic_score_gemma":0.003128084,"teacher_disagreement_score":0.063942276,"about_ca_system_score_codex":0.00035745488,"about_ca_system_score_gemma":0.00018920763,"threshold_uncertainty_score":0.99848413},"labels":[],"label_agreement":null},{"id":"W1996382773","doi":"10.1158/1055-9965.epi-05-0379","title":"Risk of Second Primary Cancer and Death Following a Diagnosis of Nonmelanoma Skin Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre; CancerCare Manitoba; University of Manitoba","funders":"","keywords":"Skin cancer; Cancer; Medicine; Dermatology; Primary cancer; Internal medicine","score_opus":0.03556971592491558,"score_gpt":0.3556360884662312,"score_spread":0.3200663725413156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996382773","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":[0.8457857,0.1498997,0.0001802176,0.002246212,0.0005684923,0.00073014473,0.00019225008,0.000025489939,0.00037184232],"genre_scores_gemma":[0.9438316,0.047535356,0.005602585,0.00057624065,0.000401596,0.0012924351,0.000034848563,0.000048476093,0.0006768543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970153,0.0004337259,0.0011484456,0.0006884867,0.00019671307,0.00051735376],"domain_scores_gemma":[0.99729127,0.00092088,0.0010883742,0.00040949692,0.00012417091,0.0001658147],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014519505,0.0003584383,0.0014710765,0.00023240561,0.00010958614,0.0000028270015,0.00014794817,0.00030046288,0.00062914804],"category_scores_gemma":[0.00031271102,0.00032287318,0.00047726784,0.00026117614,0.00027965536,0.00017127827,0.00014110286,0.00025717824,0.000002549886],"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":[0.0004886455,0.00011755251,0.8741745,0.00047320005,0.0030483936,0.000003888473,0.0002453983,0.000027081807,0.00094894436,0.000031020223,0.004308541,0.11613284],"study_design_scores_gemma":[0.0025936614,0.00026198925,0.98068947,0.0012417653,0.0015622473,0.0000088861025,0.000064533815,0.00009249476,0.0058715804,0.0005053112,0.00684259,0.0002654818],"about_ca_topic_score_codex":0.0030819606,"about_ca_topic_score_gemma":0.0048542935,"teacher_disagreement_score":0.11586736,"about_ca_system_score_codex":0.0005878437,"about_ca_system_score_gemma":0.0003263908,"threshold_uncertainty_score":0.99992234},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W1997130949","doi":"10.1158/1055-9965.epi-14-0199","title":"HPV Seroconversion Following Anal and Penile HPV Infection in HIV-Negative and HIV-Infected MSM","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Institute of Infection and Immunity","funders":"National Institutes of Health","keywords":"Seroconversion; Medicine; Men who have sex with men; Confidence interval; HPV infection; Anal cancer; Human immunodeficiency virus (HIV); Logistic regression; Internal medicine; Virology; Immunology; Gynecology; Syphilis; Cervical cancer; Cancer","score_opus":0.04158808148532355,"score_gpt":0.37957700283330403,"score_spread":0.3379889213479805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997130949","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":[0.9875248,0.0023918636,0.003300352,0.0027824752,0.00032213013,0.00076138123,0.0000069669113,0.00006508903,0.0028449278],"genre_scores_gemma":[0.9971731,0.0010052228,0.00061982666,0.00042014246,0.00016390019,0.00011870389,0.00009289322,0.000018323899,0.00038789818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761564,0.0008209634,0.00045036417,0.0005610421,0.00013075609,0.00042120958],"domain_scores_gemma":[0.9986557,0.0007089142,0.00014796766,0.00017737142,0.000085001884,0.00022505941],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019867818,0.00019956856,0.00056834583,0.00029283683,0.00013103335,0.000010496247,0.00004739172,0.00027159703,0.0010048518],"category_scores_gemma":[0.0010420072,0.00018155278,0.00013924477,0.00031990852,0.00021252091,0.00018986162,0.000094703384,0.00033794262,0.000014978652],"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":[0.0006959573,0.000047798596,0.91022015,0.00020412741,0.0001131903,0.0000042640163,0.00010539406,0.0000054640554,0.0005122876,0.00012455702,0.001473742,0.086493045],"study_design_scores_gemma":[0.0038413631,0.0003437027,0.9850864,0.00009289133,0.00014919565,0.000012903529,0.000053312007,0.0047485665,0.00029494608,0.003369031,0.0018410608,0.00016666754],"about_ca_topic_score_codex":0.0015238504,"about_ca_topic_score_gemma":0.0014123993,"teacher_disagreement_score":0.086326376,"about_ca_system_score_codex":0.00028270963,"about_ca_system_score_gemma":0.00009461533,"threshold_uncertainty_score":0.9999084},"labels":[],"label_agreement":null},{"id":"W1997536474","doi":"10.1158/1055-9965.epi-07-0086","title":"Dietary Iron and Heme Iron Intake and Risk of Breast Cancer: A Prospective Cohort Study","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":68,"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":"Breast cancer; Medicine; Prospective cohort study; Cohort study; Cohort; Physiology; Cancer; Heme; Internal medicine; Alcohol intake; Environmental health; Oncology; Alcohol; Chemistry; Biochemistry","score_opus":0.020142951586975256,"score_gpt":0.3415864437442605,"score_spread":0.32144349215728524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997536474","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":[0.9687408,0.028016197,0.0002608633,0.0006137598,0.00031841634,0.0017148622,0.000050674545,0.000034385605,0.00024999861],"genre_scores_gemma":[0.98426515,0.014415656,0.00062174833,0.00014948653,0.00013662083,0.00016468218,0.000032700067,0.000021521904,0.00019243006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978324,0.00043593944,0.0006421444,0.00059381826,0.00012669995,0.00036900383],"domain_scores_gemma":[0.99878937,0.00024295447,0.0004469676,0.00025846617,0.000091188034,0.00017103255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030241895,0.00023662852,0.00075051736,0.00015839488,0.000103893006,0.0000027760375,0.000057949826,0.00018580719,0.00009263005],"category_scores_gemma":[0.00022370975,0.00019979138,0.000100119614,0.00017458426,0.00045437642,0.000104519626,0.00006598225,0.0002127632,0.0000012891408],"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":[0.0018385013,0.00025990288,0.9118995,0.00019175118,0.0003969953,0.0000039503852,0.0003197187,0.0000026399593,0.00053319725,0.000029686824,0.00040214887,0.08412202],"study_design_scores_gemma":[0.0029648247,0.00044559472,0.9929468,0.000120505196,0.0014519905,0.000022929025,0.00091777346,0.000038644295,0.000060550916,0.00076267263,0.0000983306,0.00016939567],"about_ca_topic_score_codex":0.005686773,"about_ca_topic_score_gemma":0.0029499172,"teacher_disagreement_score":0.08395262,"about_ca_system_score_codex":0.00011128071,"about_ca_system_score_gemma":0.00007881012,"threshold_uncertainty_score":0.85967374},"labels":[],"label_agreement":null},{"id":"W1998320854","doi":"10.1158/1055-9965.epi-08-0369","title":"Calcium, Dairy Foods, Vitamin D, and Colorectal Cancer Risk: The Fukuoka Colorectal Cancer Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":69,"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":"","keywords":"Colorectal cancer; Vitamin D and neurology; Medicine; Calcium; Odds ratio; Confounding; Cancer; Physiology; Internal medicine; Vitamin; Sunlight; Confidence interval; Environmental health; Endocrinology; Oncology; Gastroenterology","score_opus":0.0744760032948132,"score_gpt":0.4003328837543387,"score_spread":0.3258568804595255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998320854","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":[0.9421128,0.04717762,0.00012503819,0.006122707,0.0011366267,0.0029335544,0.00012265035,0.000116277064,0.00015271612],"genre_scores_gemma":[0.9619647,0.031551123,0.00022491028,0.00036959094,0.00068080594,0.003967055,0.000038941977,0.000056290057,0.0011465667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99432474,0.0022910861,0.0008963331,0.0010615536,0.00039889436,0.0010274186],"domain_scores_gemma":[0.99682856,0.0015863869,0.00054707547,0.00041702407,0.0002954626,0.00032551825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030994334,0.000511467,0.0011897311,0.00021558214,0.0009985979,0.000011396868,0.00029023323,0.00033471445,0.00031456785],"category_scores_gemma":[0.0016809196,0.00033874574,0.00031329968,0.00053278985,0.001814685,0.00015942179,0.00035526644,0.0007885099,0.000015055928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011914092,0.0003510707,0.9371309,0.00010026394,0.002912402,0.000056977697,0.0014657257,0.000017090593,0.0026005243,0.000010287473,0.033254705,0.020908607],"study_design_scores_gemma":[0.0036386836,0.001367454,0.98894805,0.00023341893,0.00086056744,0.00009893936,0.001312987,0.00043347292,0.0009814171,0.00019851334,0.0015869617,0.00033956594],"about_ca_topic_score_codex":0.007118494,"about_ca_topic_score_gemma":0.008088126,"teacher_disagreement_score":0.051817086,"about_ca_system_score_codex":0.00071634335,"about_ca_system_score_gemma":0.00061279756,"threshold_uncertainty_score":0.9999065},"labels":[],"label_agreement":null},{"id":"W2001933461","doi":"10.1158/1055-9965.epi-11-0634","title":"Exercise Effects on Depressive Symptoms in Cancer Survivors: A Systematic Review and Meta-analysis","year":2012,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":274,"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 Cancer Institute","keywords":"Medicine; Meta-analysis; Randomized controlled trial; Physical therapy; PsycINFO; Confidence interval; Population; Depression (economics); Strictly standardized mean difference; CINAHL; MEDLINE; Psychological intervention; Psychiatry; Internal medicine","score_opus":0.1273310817816151,"score_gpt":0.4318300646331034,"score_spread":0.30449898285148835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001933461","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":[0.0000113217875,0.9895541,0.000056294488,0.00058527186,0.0006049217,0.008926137,0.00015359107,0.000065149456,0.000043232223],"genre_scores_gemma":[0.00012944329,0.9738563,0.000027890634,0.0013078839,0.00014219896,0.022917727,0.00043989552,0.00009646371,0.0010822032],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98928493,0.005651429,0.0025206036,0.0014072668,0.00029492003,0.0008408537],"domain_scores_gemma":[0.9933502,0.0025567107,0.0022818542,0.0012674729,0.00014407893,0.0003996785],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0044476027,0.0011160164,0.019068202,0.00095908815,0.00007843852,0.000012925878,0.00031409634,0.00096496136,0.00055689027],"category_scores_gemma":[0.0005975865,0.00075046887,0.00506863,0.0016027229,0.00016522277,0.00012669488,0.00012815793,0.00072561676,0.000029618097],"study_design_candidate":"systematic_review","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":[0.00003776104,0.000069600304,0.0006577343,0.7551513,0.17713797,0.000013542725,0.000037342277,6.252147e-7,5.6953816e-8,0.00002056184,0.00029426173,0.06657925],"study_design_scores_gemma":[0.0002447438,0.000074243006,0.00017910427,0.25094602,0.7350679,0.000014253362,0.000005168471,0.000002734952,6.19546e-7,0.000037440677,0.012967207,0.00046058086],"about_ca_topic_score_codex":0.004788302,"about_ca_topic_score_gemma":0.009059641,"teacher_disagreement_score":0.55792993,"about_ca_system_score_codex":0.00080541894,"about_ca_system_score_gemma":0.00030531336,"threshold_uncertainty_score":0.9994946},"labels":[],"label_agreement":null},{"id":"W2003652080","doi":"10.1158/1055-9965.epi-03-0164","title":"Genetic Variants of <b> <i>GPX1</i> </b> and <b> <i>SOD2</i> </b> and Breast Cancer Risk at the Ontario Site of the Breast Cancer Family Registry","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Cancer Institute; Cancer Care Ontario","keywords":"Breast cancer; GPX1; Oncology; Odds ratio; Internal medicine; Medicine; Allele; SOD2; Genotype; Carcinogenesis; Lung cancer; Cancer; Genetics; Biology; Glutathione peroxidase; Gene; Superoxide dismutase; Oxidative stress","score_opus":0.011965244063080605,"score_gpt":0.2616646734067965,"score_spread":0.2496994293437159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003652080","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":[0.9548582,0.039793536,0.00040259887,0.0028177504,0.0004219007,0.00041344966,0.0012380342,0.000006381657,0.000048159218],"genre_scores_gemma":[0.9742413,0.023937842,0.00019014397,0.0007412433,0.00013150119,0.00011947531,0.00003596375,0.00002690199,0.00057560584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979577,0.00043228772,0.0005830145,0.00055737275,0.00011386042,0.00035572992],"domain_scores_gemma":[0.9986501,0.00007255958,0.0005504085,0.00052338385,0.00010062715,0.00010296084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006064515,0.00027782415,0.00041611725,0.0000328214,0.0002448133,0.0000070554165,0.00021913859,0.00029332054,0.000067122295],"category_scores_gemma":[0.000027661907,0.0001848632,0.00021926561,0.00014188694,0.0008443664,0.0000110804185,0.00017629347,0.00018880898,5.796114e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006692883,0.000052746273,0.77404135,0.00007157053,0.00041854542,8.902303e-7,0.0001637658,0.0006166458,0.21522558,0.000027891734,0.002104352,0.006607362],"study_design_scores_gemma":[0.0014482178,0.00009074156,0.98879164,0.0002525082,0.00043049274,0.0001361248,0.00003427011,0.0000168727,0.006362679,0.0007766468,0.0014447698,0.00021504091],"about_ca_topic_score_codex":0.095733956,"about_ca_topic_score_gemma":0.11741054,"teacher_disagreement_score":0.21475026,"about_ca_system_score_codex":0.00011475494,"about_ca_system_score_gemma":0.00035232122,"threshold_uncertainty_score":0.9102876},"labels":[],"label_agreement":null},{"id":"W2003990617","doi":"10.1158/1055-9965.disp-11-a36","title":"Abstract A36: The relationship between modifiable environmental risk factors and colorectal cancer: A systematic review","year":2011,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","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":"Lakeridge Health; Ontario Tech University","funders":"","keywords":"Colorectal cancer; Incidence (geometry); Medicine; Cancer; Environmental health; Causes of cancer; Epidemiology; Risk factor; Demography; Gerontology; Internal medicine","score_opus":0.1727166341053387,"score_gpt":0.4047938548252747,"score_spread":0.232077220719936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003990617","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":[0.0008654876,0.9926857,0.00001741584,0.0003440573,0.0002893493,0.005028548,0.000653831,0.000037710146,0.00007790391],"genre_scores_gemma":[0.0018053005,0.9937526,0.0000692829,0.00011025794,0.00022372161,0.0028942006,0.00090468436,0.000047897116,0.00019206027],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9955231,0.0015569984,0.0016760017,0.00066102715,0.00015148589,0.00043139185],"domain_scores_gemma":[0.99279624,0.0046895104,0.0019240781,0.00037873985,0.000028645283,0.00018280729],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026643798,0.0005673641,0.0038943482,0.000102533355,0.00038911926,0.0000069350776,0.0001901457,0.0005067016,0.00022687341],"category_scores_gemma":[0.0015408252,0.00032640458,0.0009786005,0.00017855197,0.000401603,0.00007397196,0.00010980968,0.00065152114,0.00003460945],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036975853,0.000073549665,0.31665877,0.6515202,0.004067397,0.0000024213696,0.000022007074,1.2751168e-7,1.0339424e-7,0.0000992072,0.0076069543,0.019912284],"study_design_scores_gemma":[0.00045878085,0.00016450598,0.26185134,0.6117093,0.030586002,0.00003116628,0.00004543722,0.0000019783479,1.6934727e-7,0.0015104488,0.09317588,0.00046499213],"about_ca_topic_score_codex":0.0010110597,"about_ca_topic_score_gemma":0.00005118395,"teacher_disagreement_score":0.08556893,"about_ca_system_score_codex":0.0005718811,"about_ca_system_score_gemma":0.00016156732,"threshold_uncertainty_score":0.9999188},"labels":[],"label_agreement":null},{"id":"W2006139714","doi":"10.1158/1055-9965.epi-06-0258","title":"<i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers, Oral Contraceptive Use, and Breast Cancer Before Age 50","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":128,"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; Cancer Care Ontario; University of Toronto","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Odds ratio; Gynecology; Family history; Family planning; Confidence interval; BRCA mutation; Obstetrics; Population; Cancer; Logistic regression; Internal medicine; Environmental health; Research methodology","score_opus":0.0214601565749365,"score_gpt":0.31407059885727145,"score_spread":0.29261044228233496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006139714","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":[0.9582087,0.031336162,0.005004284,0.0033140196,0.0007585646,0.000742406,0.0004912102,0.000046904443,0.00009776353],"genre_scores_gemma":[0.9900091,0.0027963915,0.0035261693,0.0010831765,0.0005332626,0.00047508176,0.0007607899,0.00005158805,0.0007643957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753857,0.0005040733,0.00053884555,0.00085211976,0.00009626435,0.00047011918],"domain_scores_gemma":[0.99893856,0.0000974464,0.00036866922,0.00029212018,0.00017202126,0.00013116378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074097246,0.0003271345,0.0004115997,0.00009047578,0.00021747165,0.00003513453,0.000119820535,0.00042452017,0.00004346687],"category_scores_gemma":[0.00012404869,0.00032622617,0.00012296288,0.00014252577,0.0006686023,0.00004576109,0.00010306309,0.00015414893,0.0000018559454],"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":[0.00081262743,0.00008354168,0.79667836,0.000108839544,0.0012257675,0.000013557216,0.00017444359,0.00048008867,0.07813945,0.00070318585,0.0517192,0.06986095],"study_design_scores_gemma":[0.0021996275,0.0002301454,0.9561376,0.0001269769,0.0003322404,0.00012677655,0.00015886471,0.00027250405,0.0039944192,0.005664418,0.030223921,0.0005324835],"about_ca_topic_score_codex":0.0025089069,"about_ca_topic_score_gemma":0.010399122,"teacher_disagreement_score":0.15945928,"about_ca_system_score_codex":0.00022260612,"about_ca_system_score_gemma":0.00022008475,"threshold_uncertainty_score":0.999919},"labels":[],"label_agreement":null},{"id":"W2007308504","doi":"10.1158/1055-9965.epi-07-2694","title":"Prostate Cancer Risk in Relation to Insulin-like Growth Factor (IGF)-I and IGF-Binding Protein-3: A Prospective Multiethnic Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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 British Columbia; Jewish General Hospital; BC Cancer Agency","funders":"","keywords":"Insulin-like growth factor; Prostate cancer; Cancer; Oncology; Internal medicine; Prospective cohort study; Medicine; Endocrinology; Growth factor; Receptor","score_opus":0.04826357557810125,"score_gpt":0.34254018335271696,"score_spread":0.29427660777461573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007308504","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":[0.98612046,0.0045849658,0.00022525013,0.0013347236,0.00052426354,0.0069669085,0.00005296198,0.00013532338,0.000055146025],"genre_scores_gemma":[0.9915968,0.0031203998,0.0012557901,0.0002343881,0.00014620542,0.0026731913,0.000054549113,0.000066192224,0.0008524379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953204,0.0011415066,0.0012691255,0.0012107677,0.00026807186,0.0007901623],"domain_scores_gemma":[0.99798423,0.00035000642,0.00064809935,0.00038546624,0.00025551987,0.00037668337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016910582,0.0004992107,0.0010552106,0.0006250792,0.0003139227,0.000009839099,0.0001425463,0.00039656516,0.000050556664],"category_scores_gemma":[0.0016262098,0.00044442405,0.00018763087,0.0008756255,0.0002443591,0.0004011426,0.00012767545,0.00073471846,0.000027899161],"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":[0.002843811,0.0004524423,0.98150784,0.00010703306,0.0004897397,0.000031972224,0.0043928814,0.000011554381,0.0040819435,0.000014274475,0.0005107907,0.0055557005],"study_design_scores_gemma":[0.0054811514,0.0015925481,0.9893818,0.00047968095,0.0002146787,0.00001766862,0.0004726207,0.00018684342,0.0008335753,0.00076638366,0.00014150815,0.00043152826],"about_ca_topic_score_codex":0.0045996276,"about_ca_topic_score_gemma":0.001887336,"teacher_disagreement_score":0.007873956,"about_ca_system_score_codex":0.0010703962,"about_ca_system_score_gemma":0.0004019343,"threshold_uncertainty_score":0.99980074},"labels":[],"label_agreement":null},{"id":"W2007745645","doi":"10.1158/1055-9965.epi-14-1246","title":"Farm Characteristics, Allergy Symptoms, and Risk of Non-Hodgkin Lymphoid Neoplasms in the Agricultural Health Study","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Occupational and environmental lung diseases","field":"Medicine","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":"Ontario Institute for Cancer Research","funders":"National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Medicine; Allergy; Prospective cohort study; Hay fever; Asthma; Food allergy; Lymphoma; Cohort; Confidence interval; Cohort study; Internal medicine; Immunology","score_opus":0.03809160028387371,"score_gpt":0.3547979930888471,"score_spread":0.31670639280497337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007745645","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":[0.99340105,0.0041177776,0.00007287707,0.0013961523,0.00020230899,0.00069319556,0.00004532489,0.0000097659795,0.00006152651],"genre_scores_gemma":[0.99689466,0.0019344339,0.00021026436,0.00043281604,0.00009084364,0.000117935866,0.00022566835,0.00000684568,0.00008652998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981159,0.0007954944,0.00050417945,0.000261883,0.00012290018,0.00019962029],"domain_scores_gemma":[0.9991143,0.00021587037,0.00036145188,0.00015439844,0.00002700748,0.00012698681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015094816,0.00013502722,0.0004059059,0.000054936154,0.000049879793,0.0000023553418,0.00007256901,0.00006889628,0.000017865117],"category_scores_gemma":[0.0002182671,0.0000835674,0.00007473486,0.000099311066,0.00014323955,0.000043732896,0.000038688715,0.00009134238,0.000003771261],"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":[0.00055439485,0.00042026475,0.9735839,0.00003510284,0.00025519897,0.000002056406,0.00047083775,0.000011606149,0.00005499229,0.000015619968,0.0012360207,0.023360012],"study_design_scores_gemma":[0.0017814933,0.00094725855,0.99468094,0.00010603028,0.0001294744,0.000014729028,0.0014571563,0.0001665091,0.0000066082284,0.00019699163,0.00043543417,0.000077361445],"about_ca_topic_score_codex":0.0021126394,"about_ca_topic_score_gemma":0.00078055746,"teacher_disagreement_score":0.02328265,"about_ca_system_score_codex":0.00018645961,"about_ca_system_score_gemma":0.00009929671,"threshold_uncertainty_score":0.34077796},"labels":[],"label_agreement":null},{"id":"W2009476399","doi":"10.1158/1055-9965.epi-08-0482","title":"Whole-Genome Amplification Enables Accurate Genotyping for Microarray-Based High-Density Single Nucleotide Polymorphism Array","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"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; Cancer Care Ontario; Mount Sinai Hospital; Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Genotyping; Single-nucleotide polymorphism; Molecular Inversion Probe; SNP genotyping; Genotype; genomic DNA; Concordance; SNP array; Biology; Genetics; SNP; DNA microarray; Molecular biology; DNA; Gene","score_opus":0.05085712859020832,"score_gpt":0.2888591380767403,"score_spread":0.23800200948653197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009476399","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":[0.8028623,0.00417644,0.18907262,0.0021939797,0.00071341515,0.0006487009,0.00023607643,0.000047073223,0.000049401755],"genre_scores_gemma":[0.9786664,0.00039427503,0.0152160255,0.0008163259,0.0006121327,0.00030688048,0.0029097432,0.000042566648,0.0010356273],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977844,0.00035831847,0.00062435895,0.000669675,0.00006317079,0.00050012517],"domain_scores_gemma":[0.99866337,0.000103198734,0.0004931744,0.00044603692,0.00018347648,0.00011073976],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007650091,0.0002727197,0.00036742908,0.00009399069,0.00044984292,0.000013414272,0.0002334769,0.0003147602,0.000046520792],"category_scores_gemma":[0.00018731241,0.00028489632,0.0002660259,0.00010255516,0.00024659763,0.00001885638,0.00004466953,0.000084140775,0.000017075208],"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":[0.0003137384,0.000092670496,0.009648972,0.000050513205,0.00025259538,7.9557026e-7,0.000052804142,0.0004197757,0.985784,0.0001485627,0.0022050522,0.0010305323],"study_design_scores_gemma":[0.0035587803,0.0008619015,0.24714631,0.00013963299,0.00035022368,0.000055480883,0.00023051913,0.0002970093,0.60536546,0.0060399957,0.1346233,0.0013314205],"about_ca_topic_score_codex":0.00031303495,"about_ca_topic_score_gemma":0.00018349012,"teacher_disagreement_score":0.38041857,"about_ca_system_score_codex":0.00014304611,"about_ca_system_score_gemma":0.00023138389,"threshold_uncertainty_score":0.9999603},"labels":[],"label_agreement":null},{"id":"W2009846614","doi":"10.1158/1055-9965.epi-05-0466","title":"Levels of C-Peptide and Mammographic Breast Density","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":22,"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 de Québec; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; The Quebec Population Health Research Network; Hôpital Charles-Le Moyne; McGill University; Jewish General Hospital; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Breast cancer; Body mass index; Mammography; Medicine; MAMMOGRAPHIC DENSITY; C-peptide; Internal medicine; Endocrinology; Waist; Correlation; Waist–hip ratio; Insulin; Oncology; Cancer; Mathematics","score_opus":0.057837591763095136,"score_gpt":0.36954816553734954,"score_spread":0.3117105737742544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009846614","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":[0.98222363,0.009980921,0.0014149833,0.0054838583,0.00022849493,0.00034036746,0.00004876249,0.0000404444,0.000238552],"genre_scores_gemma":[0.9945205,0.0018062231,0.0024000113,0.00053645746,0.0001969575,0.000028924853,0.00002310092,0.0000148356985,0.0004730073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985791,0.00020014601,0.0005114449,0.00035104537,0.000080412494,0.00027789504],"domain_scores_gemma":[0.9990713,0.00016433015,0.0002874235,0.00023870217,0.00008409481,0.00015415186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095251616,0.00015912362,0.0005407392,0.00015569835,0.00005409105,0.0000020329692,0.00005441188,0.00018587997,0.00029952798],"category_scores_gemma":[0.00010557626,0.0001386795,0.0002013697,0.00016612928,0.00034022733,0.000089868874,0.000038682498,0.00014167148,0.0000048635043],"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":[0.00035946295,0.000053785705,0.82788026,0.00008441342,0.00033814993,0.0000016291608,0.000042133295,0.000003899232,0.0035278327,0.0002058832,0.0032748228,0.16422772],"study_design_scores_gemma":[0.001045425,0.00012077718,0.9914986,0.00024255371,0.00024765613,0.000094274976,0.00003196348,0.00015539478,0.00066866,0.0013718023,0.0044006286,0.00012226755],"about_ca_topic_score_codex":0.0006674887,"about_ca_topic_score_gemma":0.0008153214,"teacher_disagreement_score":0.16410546,"about_ca_system_score_codex":0.00010257678,"about_ca_system_score_gemma":0.000089408204,"threshold_uncertainty_score":0.5655186},"labels":[],"label_agreement":null},{"id":"W2011843284","doi":"10.1158/1055-9965.epi-09-0135","title":"Association of Area Socioeconomic Status and Breast, Cervical, and Colorectal Cancer Screening: A Systematic Review","year":2009,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":184,"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 for Work & Health","funders":"National Cancer Institute","keywords":"Socioeconomic status; Medicine; Logistic regression; Breast cancer; Cervical cancer; Demography; Cancer; Environmental health; Population; Internal medicine","score_opus":0.10874227903034567,"score_gpt":0.4239135293990216,"score_spread":0.31517125036867594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011843284","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":[0.00037586063,0.9941615,0.00007509499,0.0016874073,0.00018781266,0.0032360263,0.00018741367,0.000042008214,0.000046906498],"genre_scores_gemma":[0.00015620525,0.9969805,0.00046906213,0.00083364383,0.0001359998,0.00086050114,0.00027100285,0.00003769263,0.00025539726],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99464583,0.0015353985,0.0022029115,0.00079462427,0.00020434291,0.00061687385],"domain_scores_gemma":[0.9947618,0.0010785714,0.0033439118,0.00031001403,0.00020757502,0.0002980801],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0036317871,0.0005521306,0.0057777036,0.00020508977,0.000099194236,0.000012224405,0.00014503034,0.0007724149,0.00017443181],"category_scores_gemma":[0.000878336,0.00044881643,0.000731489,0.0002296655,0.00019618733,0.00014453365,0.00008947269,0.00045460532,0.000004919608],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010686684,0.000031893007,0.023599304,0.61868054,0.003601944,0.0000038887197,0.000024861823,4.193223e-7,0.000001005749,0.000022450513,0.0066075083,0.3473193],"study_design_scores_gemma":[0.0008548622,0.00031552714,0.014283682,0.92786777,0.026970474,0.0002125352,0.000042592394,0.000063103405,4.8559605e-7,0.00031311583,0.028555684,0.0005201405],"about_ca_topic_score_codex":0.0006341337,"about_ca_topic_score_gemma":0.00026258323,"teacher_disagreement_score":0.34679917,"about_ca_system_score_codex":0.001210501,"about_ca_system_score_gemma":0.0006381668,"threshold_uncertainty_score":0.99979633},"labels":[],"label_agreement":null},{"id":"W2013261349","doi":"10.1158/1055-9965.epi-06-0693","title":"Circulating Insulin and C-Peptide Levels and Risk of Breast Cancer among Predominately Premenopausal Women","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":75,"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 Cancer Institute","keywords":"Breast cancer; Medicine; Internal medicine; Oncology; Insulin; Endocrinology; Cancer; Gynecology","score_opus":0.04141305142509878,"score_gpt":0.35658213307358816,"score_spread":0.3151690816484894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013261349","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":[0.98601264,0.011190773,0.0012594395,0.00032752551,0.0002753462,0.00063750695,0.0001326797,0.00003802063,0.00012608503],"genre_scores_gemma":[0.9938849,0.0046344814,0.00086470804,0.00009663749,0.00018053899,0.00010814772,0.00001675123,0.000028810238,0.00018502102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976625,0.00029750305,0.0008437366,0.0005369462,0.00012364773,0.0005356559],"domain_scores_gemma":[0.99820334,0.00044451017,0.000728578,0.00022550613,0.00012149624,0.00027656052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003285459,0.0002475503,0.00073387846,0.00018141649,0.000109708526,0.000005538255,0.00006380002,0.00026283908,0.00018113981],"category_scores_gemma":[0.0003333354,0.00021902431,0.00009048509,0.0001960563,0.0005335907,0.00015580383,0.00007391758,0.0002550937,6.241469e-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":[0.00095597154,0.00004379111,0.86338294,0.00021613318,0.0007347888,0.000005949107,0.0005639761,0.000012897106,0.005637762,0.000022462345,0.00014991332,0.12827341],"study_design_scores_gemma":[0.0020784307,0.00024021843,0.9941924,0.00057068974,0.00038727614,0.00004912201,0.0002928586,0.0003950111,0.0005012052,0.00086383556,0.0002330239,0.00019589998],"about_ca_topic_score_codex":0.005509728,"about_ca_topic_score_gemma":0.0014705247,"teacher_disagreement_score":0.13080949,"about_ca_system_score_codex":0.00036745984,"about_ca_system_score_gemma":0.00013570083,"threshold_uncertainty_score":0.8931552},"labels":[],"label_agreement":null},{"id":"W2014811828","doi":"10.1158/1055-9965.epi-14-0267","title":"A Multiparametric Serum Marker Panel as a Complementary Test to Mammography for the Diagnosis of Node-Negative Early-Stage Breast Cancer and DCIS in Young Women","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"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","funders":"Centre Hospitalier Régional Universitaire de Montpellier; Ligue Contre le Cancer; Institut National de la Santé et de la Recherche Médicale","keywords":"Medicine; Breast cancer; Autoantibody; Oncology; Internal medicine; Mammography; Stage (stratigraphy); Cancer; Ductal carcinoma; Antibody; Immunology","score_opus":0.035339095782807715,"score_gpt":0.33767004505560816,"score_spread":0.30233094927280046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014811828","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":[0.98751503,0.0040275664,0.0010311328,0.004604717,0.00024013575,0.0013664974,0.0011704001,0.000011309458,0.00003319972],"genre_scores_gemma":[0.9888764,0.0030728965,0.0014091909,0.00080876815,0.00011683101,0.005531164,0.000056574758,0.000029205268,0.000098990175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978358,0.00036231935,0.0005235822,0.00065875554,0.00008818245,0.0005313415],"domain_scores_gemma":[0.9978285,0.001312834,0.00033323895,0.00029399904,0.00011873287,0.0001127132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236336,0.00028889958,0.00050055794,0.00018899792,0.00013930185,0.000007632487,0.00020662743,0.00015176991,0.00006206854],"category_scores_gemma":[0.0006283044,0.00023013714,0.000170546,0.00038206406,0.0003125735,0.000012617694,0.00018507786,0.00008408146,0.0000011905496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010119809,0.00011921329,0.96374893,0.000072235656,0.0008960689,3.3194613e-7,0.00027755342,0.00006239734,0.0007624005,0.000017175107,0.0011066594,0.031925082],"study_design_scores_gemma":[0.002171082,0.000336851,0.9936003,0.00013002697,0.00014602265,0.000005032385,0.00042971055,0.00018790689,0.0009169662,0.0004900509,0.001353149,0.00023289771],"about_ca_topic_score_codex":0.009660717,"about_ca_topic_score_gemma":0.0073662936,"teacher_disagreement_score":0.031692185,"about_ca_system_score_codex":0.00015442616,"about_ca_system_score_gemma":0.000055385222,"threshold_uncertainty_score":0.99693406},"labels":[],"label_agreement":null},{"id":"W2015179401","doi":"10.1158/1055-9965.epi-06-0923","title":"The Association between the Anti-inflammatory Protein CC10 and Smoking Status among Participants in a Chemoprevention Trial","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Research Studies","field":"Medicine","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 British Columbia; BC Cancer Agency","funders":"National Cancer Institute","keywords":"Medicine; Bronchoalveolar lavage; Internal medicine; Gastroenterology; Lung cancer; Cigarette smoking; Smoking cessation; Lung; Pathology","score_opus":0.07211029146092054,"score_gpt":0.42442204531863315,"score_spread":0.35231175385771263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015179401","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":[0.98416877,0.007299294,0.00023963409,0.004746989,0.0003877943,0.002959887,0.000005375218,0.00003404872,0.00015819298],"genre_scores_gemma":[0.9961938,0.0017964421,0.00007139921,0.00007300897,0.00046632107,0.0007549649,0.000022149652,0.000019850637,0.0006020666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958089,0.0013830361,0.00097299303,0.00043413948,0.00032785727,0.0010730542],"domain_scores_gemma":[0.99658567,0.0021861724,0.0006546435,0.00029699385,0.00012064735,0.0001558795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018676497,0.0001978556,0.00051945064,0.0001287483,0.00038466734,0.000020531172,0.00012578405,0.00025918888,0.000016849202],"category_scores_gemma":[0.004898201,0.00012552564,0.00016011682,0.00031282176,0.00041341103,0.00015217368,0.00011492167,0.0004909512,0.0000032858031],"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":[0.003277527,0.00003402231,0.9483637,0.00006480606,0.0007603259,0.000003741785,0.00017440552,0.0000014181744,0.00041555995,0.000062530155,0.00051376194,0.046328194],"study_design_scores_gemma":[0.0106934095,0.00020262612,0.9830368,0.00042120504,0.00025660527,6.7218775e-7,0.00023353616,0.0000781949,0.00053506636,0.0021354377,0.0022860956,0.000120358265],"about_ca_topic_score_codex":0.00070554164,"about_ca_topic_score_gemma":0.0028016928,"teacher_disagreement_score":0.046207834,"about_ca_system_score_codex":0.0013873662,"about_ca_system_score_gemma":0.00021986871,"threshold_uncertainty_score":0.6472938},"labels":[],"label_agreement":null},{"id":"W2015889452","doi":"10.1158/1055-9965.epi-07-0624","title":"Leukocyte Telomere Length Predicts Cancer Risk in Barrett's Esophagus","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institute on Aging","keywords":"Medicine; Hazard ratio; Internal medicine; Telomere; Gastroenterology; Confidence interval; Cohort; Cancer; Esophagus; Prospective cohort study; Adenocarcinoma; Oncology; Biology; Genetics","score_opus":0.04519035190196881,"score_gpt":0.3736608399599829,"score_spread":0.3284704880580141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015889452","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":[0.80724615,0.18355681,0.0021952256,0.0027458041,0.0022526635,0.0012653294,0.00004863211,0.00022871785,0.0004606636],"genre_scores_gemma":[0.97461826,0.019370606,0.0020544496,0.0014188446,0.0007938313,0.00026207665,0.00010900062,0.00006565729,0.0013072869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995212,0.00077183015,0.0014297882,0.0010608728,0.000282081,0.0012433841],"domain_scores_gemma":[0.9972029,0.00086486345,0.00067730586,0.00062503014,0.00015554512,0.00047439052],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004724272,0.0004756439,0.0011109642,0.00054636365,0.00019397182,0.00000838421,0.0002628723,0.00062418054,0.0006362702],"category_scores_gemma":[0.0013028894,0.00043647067,0.00035456728,0.0007626492,0.00045321873,0.00023988832,0.000081661645,0.00075007504,0.000051777854],"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":[0.0013544877,0.00013794051,0.8091496,0.00013986643,0.00045071053,0.000081596656,0.00017604181,0.000040939416,0.00055324216,0.000087840024,0.0059959437,0.18183176],"study_design_scores_gemma":[0.0032363767,0.0002653141,0.9864006,0.0007928286,0.00038254546,0.00004420509,0.00018984324,0.0006180154,0.0029305008,0.0012315837,0.003505007,0.000403158],"about_ca_topic_score_codex":0.004200773,"about_ca_topic_score_gemma":0.0050510312,"teacher_disagreement_score":0.18142861,"about_ca_system_score_codex":0.0009358215,"about_ca_system_score_gemma":0.00049420714,"threshold_uncertainty_score":0.9998087},"labels":[],"label_agreement":null},{"id":"W2017261045","doi":"10.1158/1055-9965.epi-09-0055","title":"Sam-Pointed Domain Containing Ets Transcription Factor in Luminal Breast Cancer Pathogenesis","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Cells and Metastasis","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute; U.S. Department of Defense","keywords":"Cancer research; Breast cancer; Biology; Carcinogenesis; Estrogen receptor; Transcription factor; ETS transcription factor family; Transfection; Cancer; Cell culture; Gene","score_opus":0.056208586611931524,"score_gpt":0.36832310150919234,"score_spread":0.31211451489726083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017261045","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":[0.95860636,0.019878833,0.0034877635,0.015357782,0.0011990587,0.0009834581,0.00019672417,0.00009917612,0.00019084982],"genre_scores_gemma":[0.9898074,0.0039989436,0.0025694922,0.0023562084,0.00050569983,0.0002554056,0.00016616477,0.000032429838,0.00030825587],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99677885,0.0006885779,0.0009488867,0.00072638126,0.00016714983,0.00069014577],"domain_scores_gemma":[0.99881107,0.00014177096,0.00037148508,0.00030573056,0.000117326046,0.0002526072],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014216207,0.0003459817,0.0009398656,0.00032168647,0.00009146806,0.0000080562995,0.00011668921,0.00032804615,0.00093663344],"category_scores_gemma":[0.00009640632,0.0003200229,0.0004077428,0.00041745824,0.00014193098,0.00017403993,0.000015671056,0.00029593057,0.000010045905],"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":[0.0040797186,0.00026426642,0.32138643,0.00014050971,0.0003867759,0.000043620446,0.00037923374,0.000025485322,0.16853508,0.000115799216,0.0018672684,0.5027758],"study_design_scores_gemma":[0.0038637174,0.0005121157,0.985626,0.0009772279,0.00033423712,0.000096688054,0.00027893131,0.000113539805,0.0015548856,0.0014322369,0.004874813,0.00033560142],"about_ca_topic_score_codex":0.0018976174,"about_ca_topic_score_gemma":0.0022359204,"teacher_disagreement_score":0.6642396,"about_ca_system_score_codex":0.00084752415,"about_ca_system_score_gemma":0.0003183763,"threshold_uncertainty_score":0.99997663},"labels":[],"label_agreement":null},{"id":"W2020009124","doi":"10.1158/1055-9965.epi-07-0458","title":"Association between Breast Density and Subsequent Breast Cancer Following Treatment for Ductal Carcinoma <i>In situ</i>","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Breast cancer; Ductal carcinoma; In situ; Oncology; Medicine; Internal medicine; Carcinoma in situ; Carcinoma; Cancer; Chemistry","score_opus":0.03593028315790305,"score_gpt":0.34719673905650167,"score_spread":0.31126645589859864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020009124","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":[0.9868849,0.0039414,0.0010729289,0.0063085845,0.00049783767,0.00089658436,0.0001302362,0.0000529808,0.00021453816],"genre_scores_gemma":[0.99780136,0.0002801293,0.0005226735,0.00025265882,0.00042254856,0.00015463379,0.00022453144,0.000025172072,0.00031628174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978715,0.0001440387,0.0006241482,0.00056314556,0.00012332892,0.0006738049],"domain_scores_gemma":[0.9986434,0.00054355134,0.00033204703,0.00016669375,0.000090380694,0.00022394255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021330277,0.00026923348,0.0006979227,0.00025659357,0.00011535396,0.000012648237,0.000057065376,0.00023696799,0.000010768553],"category_scores_gemma":[0.0000810824,0.00024508452,0.00044307564,0.00027564957,0.0000895837,0.0002403899,0.000024819543,0.00012424217,0.0000012740843],"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":[0.0006660791,0.00010429381,0.9102921,0.00006208063,0.001084802,0.000021740781,0.000054198892,0.0000015388847,0.002079726,0.00005011125,0.00024562623,0.0853377],"study_design_scores_gemma":[0.0031239826,0.00016760541,0.99282086,0.00030238752,0.00076695974,0.00015925473,0.000078253644,0.000049353344,0.00083414523,0.0012493817,0.00023579273,0.00021205396],"about_ca_topic_score_codex":0.0015369356,"about_ca_topic_score_gemma":0.0017948705,"teacher_disagreement_score":0.08512565,"about_ca_system_score_codex":0.001450825,"about_ca_system_score_gemma":0.0001241136,"threshold_uncertainty_score":0.9994257},"labels":[],"label_agreement":null},{"id":"W2021401697","doi":"10.1158/1055-9965.epi-06-0129","title":"Human Papillomavirus Infections with Multiple Types and Risk of Cervical Neoplasia","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":343,"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; Jewish General Hospital","funders":"Canadian Institutes of Health Research; U.S. Public Health Service; National Cancer Institute; Ludwig Institute for Cancer Research","keywords":"Odds ratio; Medicine; Cervical cancer; Confidence interval; Human papillomavirus; Natural history; Etiology; Squamous intraepithelial lesion; Papillomaviridae; HPV infection; Internal medicine; Relative risk; Cervical intraepithelial neoplasia; Gynecology; Cancer; Oncology","score_opus":0.036002405605628486,"score_gpt":0.371675176716905,"score_spread":0.33567277111127647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021401697","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":[0.986322,0.007643836,0.0012068728,0.0009003845,0.00009984709,0.00052088255,0.000030158739,0.000055376535,0.0032206795],"genre_scores_gemma":[0.9970056,0.0011432052,0.00084957987,0.000078047444,0.00017486661,0.00011301577,0.00006662728,0.000017883947,0.00055119867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984543,0.00036992048,0.00042025727,0.0003450957,0.00011422642,0.00029625508],"domain_scores_gemma":[0.9989295,0.00037976282,0.00020205324,0.0002175022,0.00014577586,0.00012539049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074836425,0.00014572364,0.00047028787,0.00013226889,0.00013891615,0.0000038044336,0.000052250092,0.0001806917,0.0007821672],"category_scores_gemma":[0.0002154245,0.0001107579,0.00011835546,0.00021959344,0.00041672445,0.00005795187,0.000042266976,0.00023587997,0.0000059713434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055384135,0.00015381866,0.97404605,0.00014679294,0.00036841928,0.0000027471144,0.000013031396,0.000028350232,0.00081540656,0.00046105785,0.0015760382,0.02183444],"study_design_scores_gemma":[0.0021627883,0.0006846927,0.9894614,0.00007523237,0.00036452617,0.000017919887,0.000019469466,0.00030010627,0.00042380995,0.0040898845,0.002292319,0.00010783],"about_ca_topic_score_codex":0.008012225,"about_ca_topic_score_gemma":0.010028685,"teacher_disagreement_score":0.02172661,"about_ca_system_score_codex":0.00009750948,"about_ca_system_score_gemma":0.000096970834,"threshold_uncertainty_score":0.9985935},"labels":[],"label_agreement":null},{"id":"W2024162173","doi":"10.1158/1055-9965.disp-10-a13","title":"Abstract A13: How do breast imaging centers communicate results: A national survey","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quarter (Canadian coin); Family medicine; Medicaid; Mammography; Descriptive statistics; Breast imaging; Breast cancer; Health care; Cancer","score_opus":0.17249565091183178,"score_gpt":0.43428646394497994,"score_spread":0.26179081303314816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024162173","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":[0.86487466,0.011073987,0.0016341911,0.1067096,0.003916886,0.0015006058,0.0012354986,0.00035702813,0.008697566],"genre_scores_gemma":[0.9933526,0.0005711769,0.0025984014,0.0018604731,0.00030647917,0.00007609116,0.0009556195,0.000025482537,0.0002536848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972095,0.00061887,0.00072648993,0.0005963407,0.00028503788,0.00056374876],"domain_scores_gemma":[0.99728984,0.0008473533,0.0005817203,0.00056095654,0.0004681078,0.00025201103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073984563,0.00026260485,0.0005237059,0.00017263035,0.0002011276,0.000029820447,0.00033229403,0.00023786351,0.00021411228],"category_scores_gemma":[0.002348812,0.00024111911,0.00026752218,0.00026911005,0.00042751007,0.0003196711,0.0001130339,0.0006672437,0.000031281787],"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":[0.0019537802,0.00007821911,0.8862227,0.000038959177,0.00032585618,0.000011723308,0.000038596292,0.000009674064,0.0049169054,0.00018256676,0.06979944,0.036421545],"study_design_scores_gemma":[0.0019165096,0.00004798664,0.98708594,0.00044544737,0.00007893348,0.0001635197,0.000085082895,0.0004378759,0.00008198821,0.0014339095,0.008001377,0.00022144707],"about_ca_topic_score_codex":0.0030869148,"about_ca_topic_score_gemma":0.003047325,"teacher_disagreement_score":0.12847796,"about_ca_system_score_codex":0.00031167656,"about_ca_system_score_gemma":0.0003560109,"threshold_uncertainty_score":0.9832552},"labels":[],"label_agreement":null},{"id":"W2026750259","doi":"10.1158/1055-9965.epi-08-0908","title":"Serum Folate and Cancer Mortality Among U.S. Adults: Findings from the Third National Health and Nutritional Examination Survey Linked Mortality File","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","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":"University of British Columbia","funders":"","keywords":"National Health and Nutrition Examination Survey; Medicine; Hazard ratio; Confidence interval; Confounding; Proportional hazards model; Cancer; National Death Index; Prospective cohort study; Demography; Cohort study; Internal medicine; Cohort; Gerontology; Population; Environmental health","score_opus":0.11335449323599382,"score_gpt":0.42335831746506025,"score_spread":0.3100038242290664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026750259","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":[0.97523165,0.014080385,0.00010031008,0.0077136373,0.00016366634,0.0008618939,0.0017587147,0.00003890152,0.000050867133],"genre_scores_gemma":[0.9833424,0.0096559655,0.0002318668,0.0022455114,0.00021885756,0.00018632812,0.0039098426,0.000012035298,0.00019716169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99653655,0.0014975293,0.00063372304,0.0006112211,0.0003178264,0.00040314472],"domain_scores_gemma":[0.9977262,0.0012546858,0.00028967406,0.00021004141,0.00028551123,0.00023390476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049902643,0.00020990727,0.00048637763,0.00009923593,0.000288918,0.000019738485,0.0001021651,0.00026812262,0.00045556208],"category_scores_gemma":[0.0013599709,0.00016223078,0.000102061116,0.0002499414,0.00036554865,0.00023369487,0.00005102216,0.00034354042,0.0000030582464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029049497,0.00009241812,0.95106286,0.00006989624,0.00039804445,0.0000017745654,0.00014197014,0.0000012725236,0.00009700509,0.00006467114,0.021185478,0.026594108],"study_design_scores_gemma":[0.0014907378,0.0003010064,0.99076116,0.00055351824,0.000063721614,0.0000040854543,0.000068967944,0.0016909208,0.000020260773,0.0045776446,0.0003241063,0.00014385823],"about_ca_topic_score_codex":0.012427624,"about_ca_topic_score_gemma":0.008567227,"teacher_disagreement_score":0.039698303,"about_ca_system_score_codex":0.00030420095,"about_ca_system_score_gemma":0.00040946348,"threshold_uncertainty_score":0.99414873},"labels":[],"label_agreement":null},{"id":"W2029186878","doi":"10.1158/1055-9965.epi-05-0066","title":"Increased Risk of Cancer among Siblings of Long-term Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":68,"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 Cancer Institute","keywords":"Medicine; Cancer; Wilms' tumor; Internal medicine; Incidence (geometry); Sarcoma; Epidemiology; Pediatrics; Leukemia; Oncology; Pathology","score_opus":0.04117639487127733,"score_gpt":0.381748186694285,"score_spread":0.3405717918230077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029186878","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":[0.9158568,0.0695462,0.00034710421,0.0070157927,0.0018928203,0.0039967448,0.0011172923,0.0001505314,0.00007671178],"genre_scores_gemma":[0.97592646,0.017065346,0.00045253724,0.0013524587,0.0023010809,0.002051168,0.00041329346,0.00016371203,0.0002739175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9874154,0.0042149,0.004215358,0.0019475282,0.0010258203,0.0011810136],"domain_scores_gemma":[0.98813605,0.0029274106,0.005512274,0.0021116731,0.0007951631,0.0005174155],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008676536,0.0009953954,0.0031108796,0.00043255906,0.00034454584,0.000021526746,0.0009267528,0.0006870176,0.0017871993],"category_scores_gemma":[0.0027478056,0.00079399196,0.0011900621,0.001270027,0.0010999554,0.0004307403,0.00034407276,0.0011007723,0.000008472076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011783361,0.0021651138,0.9484489,0.00024819525,0.00898491,0.000021001402,0.0044174427,0.00026102902,0.00044548567,0.000005061699,0.00249345,0.03133105],"study_design_scores_gemma":[0.0059450087,0.0004293129,0.9815654,0.003068222,0.004592646,0.000016175598,0.0008361093,0.00013092598,0.002041867,0.00022734072,0.00044140627,0.0007055792],"about_ca_topic_score_codex":0.54838717,"about_ca_topic_score_gemma":0.5706834,"teacher_disagreement_score":0.060069684,"about_ca_system_score_codex":0.0008137615,"about_ca_system_score_gemma":0.0018944729,"threshold_uncertainty_score":0.9994511},"labels":[],"label_agreement":null},{"id":"W2029647445","doi":"10.1158/1055-9965.epi-06-0661","title":"A NAD(P)H:Quinone Oxidoreductase 1 Polymorphism Is a Risk Factor for Human Colon Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Waterloo; CancerCare Manitoba","funders":"","keywords":"Colorectal cancer; Genotype; Carcinogen; Odds ratio; Internal medicine; Cancer; Medicine; Gastroenterology; Oncology; Population; Biology; Genetics; Gene","score_opus":0.039093863265191105,"score_gpt":0.3626329221491241,"score_spread":0.32353905888393303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029647445","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":[0.9673133,0.021103287,0.005653793,0.0014332229,0.0007177558,0.000995854,0.0026516162,0.000033530316,0.00009766453],"genre_scores_gemma":[0.9894983,0.0015660456,0.0028061261,0.000755204,0.0013614886,0.0009658686,0.0009968252,0.000058748963,0.0019913553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972179,0.00037647606,0.00070295384,0.00095669075,0.0000806486,0.0006653596],"domain_scores_gemma":[0.9984561,0.00009697255,0.0006797674,0.00046539435,0.00015734068,0.00014438167],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005712567,0.00037498286,0.0005217202,0.000088777924,0.00027199232,0.000012128312,0.00029284877,0.0004850197,0.0002927805],"category_scores_gemma":[0.00018961933,0.00037874785,0.00043365327,0.00009819163,0.00037384155,0.000011089122,0.000100644414,0.00015223278,0.0000066513417],"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":[0.00051793794,0.00012456637,0.05653804,0.00006389536,0.0005596632,7.3214056e-7,0.000038604212,0.00002818339,0.88746136,0.00011512489,0.04329492,0.011256936],"study_design_scores_gemma":[0.0034652664,0.00060455257,0.16813557,0.00013295247,0.0004024729,0.000006786217,0.000058417212,0.00010758352,0.7593731,0.020115968,0.046654496,0.00094278774],"about_ca_topic_score_codex":0.0018293441,"about_ca_topic_score_gemma":0.0014382389,"teacher_disagreement_score":0.12808824,"about_ca_system_score_codex":0.00015027559,"about_ca_system_score_gemma":0.00016122247,"threshold_uncertainty_score":0.9998664},"labels":[],"label_agreement":null},{"id":"W2029859690","doi":"10.1158/1055-9965.epi-10-1319","title":"Associations Between Physical Activity and Quality of Life in a Population-Based Sample of Kidney Cancer Survivors","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Quality of life (healthcare); Public health; Physical activity; Population; Cancer; Gerontology; Disease; Physical therapy; Internal medicine; Environmental health; Pathology","score_opus":0.15380871035881158,"score_gpt":0.41404085731904655,"score_spread":0.260232146960235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029859690","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":[0.9953883,0.0007901823,0.0013434651,0.0011108315,0.00023815586,0.0003929061,0.0006527522,0.000019782716,0.000063612744],"genre_scores_gemma":[0.99880373,0.00012544963,0.00039178337,0.00020467982,0.00008485051,0.00009855922,0.00025674253,0.000013508203,0.000020663787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976081,0.0010244515,0.0006675436,0.00033262625,0.00013431333,0.00023292286],"domain_scores_gemma":[0.99732566,0.0013258605,0.000779968,0.00023053378,0.00012861818,0.0002093822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017768285,0.0001514611,0.0009986216,0.0001579534,0.000034595196,0.0000010006892,0.00006783021,0.0002038185,0.00010144699],"category_scores_gemma":[0.002972946,0.00014702152,0.00021432001,0.00031437888,0.0001588141,0.00008131902,0.0000276489,0.00015356277,3.0253756e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004606206,0.00018027936,0.9895653,0.00025744666,0.00027294343,9.351219e-8,0.00036920173,0.000005412846,0.0005008259,0.00020093627,0.00007989227,0.0081070075],"study_design_scores_gemma":[0.0010242504,0.00009714703,0.99534935,0.00023420888,0.00018345723,4.0466098e-8,0.000046485933,0.00017426263,0.00068679056,0.0020599412,0.00002587245,0.00011818896],"about_ca_topic_score_codex":0.41050345,"about_ca_topic_score_gemma":0.08994888,"teacher_disagreement_score":0.32055458,"about_ca_system_score_codex":0.00022448429,"about_ca_system_score_gemma":0.00048515215,"threshold_uncertainty_score":0.9266572},"labels":[],"label_agreement":null},{"id":"W2032613104","doi":"10.1158/1055-9965.epi-13-0105","title":"Hormonal and Reproductive Risk Factors for Sporadic Microsatellite Stable and Unstable Endometrial Tumors","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","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":true,"ca_institutions":"University of Calgary; University of British Columbia; Alberta Health Services","funders":"National Cancer Institute; Canadian Institutes of Health Research; University of Calgary; Alberta Health Services","keywords":"Endometrial cancer; Microsatellite instability; Gynecology; Population; Medicine; Oncology; Estrogen; Obstetrics; Cancer; Internal medicine; Biology; Microsatellite; Genetics; Environmental health","score_opus":0.051140979618260154,"score_gpt":0.3354741226509502,"score_spread":0.2843331430326901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032613104","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":[0.96366036,0.030801238,0.0012023424,0.0009650321,0.0007911845,0.0023621842,0.00009403457,0.00005079614,0.000072828145],"genre_scores_gemma":[0.98186743,0.0052795545,0.010592632,0.0001642205,0.00034834608,0.0006219206,0.00014816727,0.000042971147,0.000934728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973911,0.00037180938,0.00064470386,0.00092212803,0.00010782237,0.00056241354],"domain_scores_gemma":[0.99746346,0.0013163493,0.00046994747,0.000317416,0.00018042776,0.00025240166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018389031,0.000298245,0.00077479996,0.00023006229,0.00017843391,0.000016948388,0.00007702136,0.00025727958,0.0002545522],"category_scores_gemma":[0.0025698745,0.00025126545,0.00015777475,0.0002495266,0.00052010856,0.00017684336,0.0000696586,0.00022405892,0.0000046545715],"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":[0.0013530084,0.000057329977,0.9409282,0.00015354199,0.0006340395,9.895994e-7,0.0001829905,0.000009461028,0.015368264,0.000053612486,0.006669906,0.034588624],"study_design_scores_gemma":[0.0034566626,0.0012483434,0.9607534,0.00016745599,0.000511603,0.000031014337,0.00031818554,0.00037278343,0.01124641,0.015189153,0.0063506733,0.00035435893],"about_ca_topic_score_codex":0.0021550127,"about_ca_topic_score_gemma":0.00006390403,"teacher_disagreement_score":0.034234267,"about_ca_system_score_codex":0.0002534578,"about_ca_system_score_gemma":0.00016889999,"threshold_uncertainty_score":0.999994},"labels":[],"label_agreement":null},{"id":"W2033097587","doi":"10.1158/1055-9965.epi-04-0319","title":"Risk of Prostate Cancer in a Randomized Clinical Trial of Calcium Supplementation","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Medicine; Hazard ratio; Prostate cancer; Vitamin D and neurology; Confidence interval; Internal medicine; Relative risk; Randomized controlled trial; Urology; Calcium; Randomization; Placebo; Cancer; Gastroenterology; Rate ratio; Gynecology; Pathology","score_opus":0.11103193090818952,"score_gpt":0.5098229335269978,"score_spread":0.3987910026188083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033097587","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":[0.9753374,0.011337828,0.0008996388,0.007567565,0.00059536163,0.004020685,0.00009853329,0.000016966735,0.00012604713],"genre_scores_gemma":[0.9604387,0.034213275,0.0029089325,0.000102348764,0.0003043288,0.0013816062,0.000077169825,0.00001550304,0.00055811176],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99171257,0.0049726707,0.0023537658,0.00039620863,0.00019944213,0.0003653694],"domain_scores_gemma":[0.9947901,0.003388381,0.0012655711,0.0002490296,0.00021482399,0.00009210921],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.017561547,0.00016601577,0.0017787107,0.0002607733,0.00003340904,0.0000010865822,0.00009316608,0.00019604644,0.00031331833],"category_scores_gemma":[0.00866511,0.00012631011,0.0005588282,0.00025887505,0.000803,0.0000841031,0.00006518904,0.0002671952,0.0000025852771],"study_design_candidate":"randomized_trial","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":[0.35780826,0.0003906417,0.54257417,0.0001797669,0.0014400728,0.0000011445921,0.00019855872,0.00005878168,0.0003756777,0.000036977373,0.003553604,0.09338233],"study_design_scores_gemma":[0.6046496,0.0008382657,0.38840473,0.0005749182,0.0007566717,9.512596e-7,0.00014596157,0.0017238017,0.0011689995,0.0011087442,0.00051509624,0.00011224546],"about_ca_topic_score_codex":0.0019415299,"about_ca_topic_score_gemma":0.0017262927,"teacher_disagreement_score":0.24684136,"about_ca_system_score_codex":0.00022665269,"about_ca_system_score_gemma":0.00034180257,"threshold_uncertainty_score":0.99968535},"labels":[],"label_agreement":null},{"id":"W2033381611","doi":"10.1158/1055-9965.epi-14-0327","title":"The Effect of Metformin on Mortality Following Cancer among Patients with Diabetes","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","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":"Mount Sinai Hospital; McMaster University; University of Toronto; Women's College Hospital","funders":"","keywords":"Metformin; Medicine; Cancer; Internal medicine; Observational study; Prostate cancer; Oncology; Meta-analysis; Diabetes mellitus; Confidence interval; Breast cancer; Endocrinology; Insulin","score_opus":0.025380826650755084,"score_gpt":0.36681921933587835,"score_spread":0.34143839268512327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033381611","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":[0.06933167,0.92731225,0.0000467162,0.0000066205816,0.0016083252,0.0015072795,0.00010584656,0.00001466428,0.00006663208],"genre_scores_gemma":[0.0017419497,0.99442226,0.000032928918,0.0000730311,0.00041164027,0.0022906198,0.0007932087,0.00008257172,0.00015181341],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941112,0.0028803684,0.0011586136,0.00092442555,0.00022362442,0.00070176326],"domain_scores_gemma":[0.9963794,0.00076652307,0.0017003161,0.0009212985,0.00009401882,0.00013847806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037274754,0.00069021,0.0024131802,0.00009598154,0.00019624295,0.000012516389,0.0005399555,0.0007241652,0.000026764179],"category_scores_gemma":[0.0006704894,0.00039488712,0.0013269269,0.00020462753,0.0004236838,0.000010932032,0.00012058053,0.00029351356,0.000003808844],"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":[0.000092491326,0.000022514867,0.11404997,0.0023893577,0.00360765,1.8442125e-7,0.0000023388661,0.0000069618077,0.0000033525048,0.000008276806,0.001796029,0.8780209],"study_design_scores_gemma":[0.0009961779,0.0009117069,0.010373129,0.006548508,0.0038725347,1.1869625e-7,0.0000014698746,0.000006331508,0.0003698961,0.00006238922,0.97631896,0.0005387679],"about_ca_topic_score_codex":0.00010421487,"about_ca_topic_score_gemma":0.00032939244,"teacher_disagreement_score":0.97452295,"about_ca_system_score_codex":0.00012580506,"about_ca_system_score_gemma":0.0002202872,"threshold_uncertainty_score":0.9998503},"labels":[],"label_agreement":null},{"id":"W2033465834","doi":"10.1158/1055-9965.epi-14-0062","title":"Gene–Environment Interaction Involving Recently Identified Colorectal Cancer Susceptibility Loci","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Ontario Institute for Cancer Research; Cancer Care Ontario","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; U.S. Public Health Service; National Institute on Aging; National Cancer Institute; National Institutes of Health","keywords":"Colorectal cancer; Genetics; Gene; Biology; Computational biology; Cancer research; Cancer","score_opus":0.0330492392648499,"score_gpt":0.3323164128273445,"score_spread":0.29926717356249455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033465834","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":[0.9672194,0.006637152,0.021450937,0.0023011374,0.0016185757,0.0005174356,0.00003160657,0.00003918153,0.0001845563],"genre_scores_gemma":[0.9848927,0.006937789,0.004578798,0.000815474,0.0007117588,0.00045838935,0.0007951729,0.00003945486,0.00077045657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949727,0.0023590454,0.00090814504,0.0010164555,0.00010921394,0.0006344202],"domain_scores_gemma":[0.9982071,0.00032115384,0.00071557285,0.00047598864,0.000110929606,0.00016924842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038999845,0.00032219166,0.00052795286,0.00008553095,0.0002391461,0.000012131149,0.00026961457,0.00060770434,0.00037972405],"category_scores_gemma":[0.0015328764,0.00032588796,0.00031949856,0.00010694725,0.00026988392,0.000016759028,0.00019285771,0.00023340873,0.000046558114],"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":[0.00026778269,0.000107343454,0.72390974,0.000031922034,0.0005430141,3.3315908e-7,0.000044941527,0.0015590846,0.21823628,0.000052356798,0.019771637,0.035475593],"study_design_scores_gemma":[0.0013315779,0.00049968745,0.92601806,0.000075779586,0.0002517601,0.00000972599,0.00015925728,0.0035752892,0.028098563,0.0059821876,0.0333141,0.00068403775],"about_ca_topic_score_codex":0.0005934377,"about_ca_topic_score_gemma":0.0017419667,"teacher_disagreement_score":0.20210832,"about_ca_system_score_codex":0.00037169622,"about_ca_system_score_gemma":0.000112637324,"threshold_uncertainty_score":0.9999193},"labels":[],"label_agreement":null},{"id":"W2033874499","doi":"10.1158/1055-9965.epi-14-1086","title":"Opportunities for Translational Epidemiology: The Important Role of Observational Studies to Advance Precision Oncology","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","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":"Princess Margaret Cancer Centre","funders":"National Institutes of Health","keywords":"Observational study; Translational research; Precision oncology; Multidisciplinary approach; Medicine; Medical physics; Precision medicine; Clinical trial; Data science; Computer science; Internal medicine; Pathology; Sociology","score_opus":0.3084099242088422,"score_gpt":0.45580157280748806,"score_spread":0.14739164859864584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033874499","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":[0.53401184,0.2929158,0.08557568,0.07881042,0.0037435137,0.0034191557,0.0010163786,0.00003939745,0.00046781622],"genre_scores_gemma":[0.7873311,0.046332296,0.13559525,0.017431393,0.0029053786,0.0050549596,0.0033704706,0.0001300693,0.0018490957],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99737614,0.0006385994,0.0010690443,0.00047713556,0.0000857716,0.00035331133],"domain_scores_gemma":[0.9962185,0.0021149055,0.00064579095,0.00033963908,0.00052520604,0.00015593675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005086959,0.0002045098,0.00056255853,0.00006599349,0.000109551045,0.0000023332695,0.00026600444,0.00024813687,0.0000101039905],"category_scores_gemma":[0.0064214924,0.00016182277,0.00023978388,0.00009232059,0.00034298768,0.000011200404,0.000107543485,0.00007965732,0.0000012493025],"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":[0.006448014,0.0003346228,0.36007476,0.00015120521,0.0027312862,0.0000018655646,0.0008230168,0.014252859,0.03282967,0.042586695,0.27905646,0.26070958],"study_design_scores_gemma":[0.0016760927,0.0018774262,0.03814998,0.00012236655,0.00023918405,0.0000125391025,0.0017797439,0.001285983,0.0045564845,0.19473995,0.7551613,0.00039897676],"about_ca_topic_score_codex":0.00003908205,"about_ca_topic_score_gemma":0.00044749904,"teacher_disagreement_score":0.47610483,"about_ca_system_score_codex":0.000112407404,"about_ca_system_score_gemma":0.000692203,"threshold_uncertainty_score":0.768759},"labels":[],"label_agreement":null},{"id":"W2034348943","doi":"10.1158/1055-9965.epi-07-0048","title":"Physical Inactivity in Adult Survivors of Childhood Acute Lymphoblastic Leukemia: A Report from the Childhood Cancer Survivor Study","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"University of Alberta; American Lebanese Syrian Associated Charities; University of Rochester; National Cancer Institute; University of California, Los Angeles; U.S. Department of Health and Human Services; Children's Cancer Research Fund; University of Minnesota","keywords":"Medicine; Behavioral Risk Factor Surveillance System; Confidence interval; Odds ratio; Population; Young adult; Childhood cancer; Cancer; Pediatrics; Gerontology; Demography; Internal medicine; Environmental health","score_opus":0.03245571973342649,"score_gpt":0.3737217176144621,"score_spread":0.3412659978810356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034348943","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":[0.9860651,0.0032507442,0.0013785888,0.0044718585,0.0016735088,0.0027365715,0.00014142158,0.00012424155,0.00015797162],"genre_scores_gemma":[0.99573195,0.0007920321,0.00032424284,0.0012708277,0.0010446883,0.00045545268,0.00019778583,0.00008421551,0.00009882557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9917184,0.0025205694,0.002500124,0.0015073887,0.0006939502,0.00105954],"domain_scores_gemma":[0.99168557,0.004474822,0.0018006798,0.0013770533,0.00033583166,0.0003260636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006982282,0.000664065,0.0023113217,0.00029350424,0.00018358041,0.00001089847,0.0005117051,0.00046484437,0.00010619729],"category_scores_gemma":[0.0032780555,0.0005288882,0.0006714316,0.0010819556,0.0005715632,0.00025237168,0.0002444056,0.0008926903,0.0000110653355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016717727,0.0027448395,0.96906066,0.000079771075,0.0031365887,0.00011941993,0.0047700237,0.000050658127,0.0006114263,0.000048679136,0.0010823641,0.016623773],"study_design_scores_gemma":[0.005405127,0.00062174344,0.98613364,0.0008723026,0.0012768214,0.00006187419,0.002347547,0.0001490374,0.00087406643,0.0016780925,0.00012309734,0.0004566651],"about_ca_topic_score_codex":0.123303376,"about_ca_topic_score_gemma":0.1774652,"teacher_disagreement_score":0.054161828,"about_ca_system_score_codex":0.0015200736,"about_ca_system_score_gemma":0.0014074919,"threshold_uncertainty_score":0.9997163},"labels":[],"label_agreement":null},{"id":"W2034814896","doi":"10.1158/1055-9965.epi-05-0864","title":"Increased Risk for Cervical Disease Progression of French Women Infected with the Human Papillomavirus Type 16 E6-350G Variant","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thunder Bay Regional Health Sciences Centre","funders":"","keywords":"Odds ratio; Confidence interval; Persistence (discontinuity); Squamous intraepithelial lesion; Medicine; Internal medicine; Cervical cancer; Human papillomavirus; Clearance; Lesion; HPV infection; Oncology; Cancer; Cervical intraepithelial neoplasia; Pathology","score_opus":0.038346820004710847,"score_gpt":0.38858975086805936,"score_spread":0.3502429308633485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034814896","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":[0.98149014,0.007864564,0.0034255811,0.0031894082,0.0001751282,0.002548733,0.000116355586,0.00008644559,0.0011036531],"genre_scores_gemma":[0.99673873,0.00029343774,0.000514848,0.0002805545,0.00034599734,0.0008831914,0.00045469942,0.000031970187,0.0004565709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724084,0.0008788974,0.00057992246,0.0004895954,0.00023754401,0.00057322043],"domain_scores_gemma":[0.997741,0.00074578635,0.0004097912,0.00045112037,0.00037204777,0.0002802509],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021292418,0.00022540125,0.00060155796,0.00012162048,0.0002212011,0.000007610688,0.00016934118,0.0001961838,0.0014114815],"category_scores_gemma":[0.0005480464,0.00013384878,0.00019684772,0.00037356734,0.00047256087,0.00006059581,0.00006892159,0.00027325185,0.000005254882],"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":[0.007952676,0.0005305844,0.9270739,0.0005590451,0.0006191842,0.0000101568985,0.000047295827,0.00001604314,0.0015768571,0.0007410865,0.013591908,0.047281288],"study_design_scores_gemma":[0.0038178249,0.0013191825,0.97596866,0.00017324065,0.00044069122,0.000004229999,0.000025807452,0.00035519712,0.00025799475,0.011158416,0.0063166865,0.00016206516],"about_ca_topic_score_codex":0.0034236736,"about_ca_topic_score_gemma":0.0010849764,"teacher_disagreement_score":0.04889479,"about_ca_system_score_codex":0.0004102403,"about_ca_system_score_gemma":0.00041639307,"threshold_uncertainty_score":0.99950135},"labels":[],"label_agreement":null},{"id":"W2035692001","doi":"10.1158/1055-9965.epi-07-0134","title":"Plasma Antibodies against <i>Chlamydia trachomatis</i>, Human Papillomavirus, and Human Herpesvirus Type 8 in Relation to Prostate Cancer: A Prospective Study","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":79,"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 Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Johns Hopkins Bloomberg School of Public Health; National Cancer Institute; National Institutes of Health; Canadian Prostate Cancer Research Initiative; Johns Hopkins University","keywords":"Serostatus; Chlamydia trachomatis; Medicine; Prostate cancer; Gonorrhea; Odds ratio; Prostate-specific antigen; Cancer; Internal medicine; Syphilis; Gynecology; Oncology; Immunology; Virus; Viral load","score_opus":0.03480903691879223,"score_gpt":0.38002996811854284,"score_spread":0.3452209311997506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035692001","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":[0.98750967,0.0070927213,0.000050434515,0.0007364907,0.0003747218,0.0030389419,0.000019271742,0.000109835295,0.0010679396],"genre_scores_gemma":[0.9963163,0.0014044999,0.00032735412,0.00063654565,0.00012223814,0.0004254243,0.00008347937,0.00004803572,0.0006361339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99683285,0.0004511308,0.0010278618,0.00082196173,0.0001884035,0.00067780225],"domain_scores_gemma":[0.9987225,0.0001569825,0.00047889593,0.00027229646,0.00014656433,0.00022278771],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002585964,0.00035766762,0.0008594751,0.0003911886,0.0003015894,0.000015336265,0.00009864759,0.00032257813,0.00005052349],"category_scores_gemma":[0.0002807076,0.00034403722,0.000117842326,0.0006347209,0.00018980188,0.00020692108,0.000059661423,0.00038881652,0.000008057794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013263641,0.00036362818,0.95567644,0.00008020798,0.00047304953,0.000026770485,0.0019316234,0.00006144107,0.0054016183,0.0001550505,0.0012210399,0.03328276],"study_design_scores_gemma":[0.0057263076,0.0007407347,0.98860115,0.0005382012,0.00023422498,0.0000030411838,0.0013061141,0.00004957938,0.00020727726,0.0017584114,0.00049694953,0.00033799803],"about_ca_topic_score_codex":0.004472371,"about_ca_topic_score_gemma":0.027258743,"teacher_disagreement_score":0.03294476,"about_ca_system_score_codex":0.00090958935,"about_ca_system_score_gemma":0.00014353487,"threshold_uncertainty_score":0.9999012},"labels":[],"label_agreement":null},{"id":"W2038824147","doi":"10.1158/1055-9965.epi-09-0462","title":"Pediatric Germ Cell Tumors and Maternal Vitamin Supplementation: a Children's Oncology Group Study","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":10,"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":"National Cancer Institute","keywords":"Medicine; Germ cell tumors; Pregnancy; Odds ratio; Seminoma; Confidence interval; Obstetrics; Pediatrics; Gynecology; Internal medicine; Chemotherapy; Biology","score_opus":0.024342997819934497,"score_gpt":0.37140485812044066,"score_spread":0.3470618603005062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038824147","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":[0.99027854,0.0065139458,0.00026468656,0.0012663598,0.00018939773,0.0013113593,0.000030686504,0.000059159887,0.00008583452],"genre_scores_gemma":[0.9957584,0.0009270947,0.0018884325,0.00053739065,0.00024043146,0.00017615894,0.0003007244,0.0000148282015,0.00015654504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799013,0.000507975,0.0005404177,0.0005094839,0.00010592766,0.0003460605],"domain_scores_gemma":[0.9990103,0.00015101541,0.00037189358,0.00020571599,0.000039101164,0.00022197576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006070696,0.00022161755,0.00049046485,0.00014753685,0.00010466346,0.000007389045,0.00006382205,0.00011480923,0.00022388014],"category_scores_gemma":[0.000082481616,0.00018878317,0.00014017141,0.00014104447,0.000063906366,0.000084328574,0.00003261578,0.000109881235,0.000013520042],"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":[0.00038612456,0.0010898066,0.9489432,0.000031581676,0.00027384373,0.000072526505,0.00005129976,0.0000014137976,0.00008094107,0.000029414052,0.0014322129,0.04760764],"study_design_scores_gemma":[0.00556701,0.0031869465,0.9886385,0.00003620766,0.0012897523,0.000080324506,0.000089619425,0.000033681066,0.00003019119,0.00082116784,0.00008376696,0.00014278607],"about_ca_topic_score_codex":0.00029116013,"about_ca_topic_score_gemma":0.000056957946,"teacher_disagreement_score":0.047464855,"about_ca_system_score_codex":0.0002093316,"about_ca_system_score_gemma":0.00010929731,"threshold_uncertainty_score":0.7698355},"labels":[],"label_agreement":null},{"id":"W2039245161","doi":"10.1158/1055-9965.disp-10-b76","title":"Abstract B76: The effect of ethnicity on esophageal cancer survival in British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","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":"Simon Fraser University; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Ethnic group; Medicine; Esophageal cancer; Cancer; Disease; Internal medicine; Proportional hazards model; Oncology; Population; Cancer registry; Multivariate analysis; Stage (stratigraphy); Demography; Environmental health; Biology","score_opus":0.03685240580793856,"score_gpt":0.3771580772013589,"score_spread":0.34030567139342033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039245161","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":[0.9830736,0.011532801,0.0000052073087,0.002605752,0.0012046994,0.0011992311,0.00011403318,0.000019596528,0.0002450706],"genre_scores_gemma":[0.99706566,0.0008938448,0.000043592707,0.00034252263,0.00022398678,0.00060345203,0.00006958712,0.000023252634,0.00073411636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972187,0.0008015039,0.000608842,0.00049198215,0.00030358095,0.0005753792],"domain_scores_gemma":[0.9974752,0.0015306859,0.0002939154,0.00040021265,0.00008471399,0.0002152795],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00280437,0.00018129752,0.0007302077,0.00005462405,0.0001177762,0.000011376941,0.00019864527,0.00022682133,0.0010981429],"category_scores_gemma":[0.0008630087,0.00017362034,0.00021010218,0.00024729728,0.0003400499,0.00005397207,0.00004609263,0.0007525852,0.0000035699125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062473246,0.000078406345,0.9068269,0.00017187232,0.0003579198,0.000108932836,0.000009561238,0.000018152872,0.00035412578,0.00000649445,0.00607886,0.085364036],"study_design_scores_gemma":[0.0026317034,0.00065844797,0.99433863,0.00035609593,0.00011065135,0.0000127088215,0.000012964241,0.00003823909,0.0010363221,0.0002520441,0.0004415432,0.00011062388],"about_ca_topic_score_codex":0.97209,"about_ca_topic_score_gemma":0.9976215,"teacher_disagreement_score":0.08751175,"about_ca_system_score_codex":0.0006536759,"about_ca_system_score_gemma":0.0011372594,"threshold_uncertainty_score":0.999815},"labels":[],"label_agreement":null},{"id":"W2040063892","doi":"10.1158/1055-9965.epi-08-0546","title":"Reproductive and Hormonal Factors, and Ovarian Cancer Risk for <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers: Results from the International <i>BRCA1/2</i> Carrier Cohort Study","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":141,"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 de Québec; Université Laval","funders":"Cancer Research UK","keywords":"Ovarian cancer; Hazard ratio; Medicine; Oncology; Gynecology; BRCA mutation; Population; Confidence interval; Cancer; Obstetrics; Proportional hazards model; Cohort; Internal medicine; Environmental health","score_opus":0.026427378894477056,"score_gpt":0.329091000216641,"score_spread":0.30266362132216396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040063892","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":[0.9660875,0.020836003,0.0019859043,0.006572541,0.000983757,0.001722888,0.0017382773,0.00002494897,0.000048144324],"genre_scores_gemma":[0.98925143,0.005415473,0.0015977802,0.0010293582,0.0008490529,0.0005680089,0.0011114394,0.000029316423,0.00014812515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686724,0.0006005389,0.00065273815,0.0013960188,0.00014930867,0.00033417242],"domain_scores_gemma":[0.99817437,0.0003923082,0.0005807304,0.0004987193,0.00022853582,0.00012533876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022943306,0.0003366992,0.00039705398,0.000058344704,0.00038305204,0.000046381407,0.00022159828,0.0002795758,0.000010673052],"category_scores_gemma":[0.0014333016,0.00027215877,0.00010594261,0.00010985531,0.00038502336,0.000039632854,0.00012272241,0.0001965315,2.2701755e-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":[0.0016303919,0.00007444021,0.9288957,0.000007816401,0.0021517766,0.0000012080305,0.0012220666,0.00010538257,0.010608335,0.000048866703,0.019341879,0.03591212],"study_design_scores_gemma":[0.0031329663,0.00051868055,0.97323674,0.000041321102,0.00059896626,0.0000094457555,0.0011388408,0.00029017817,0.003279075,0.0044074478,0.012985615,0.00036073755],"about_ca_topic_score_codex":0.0022981516,"about_ca_topic_score_gemma":0.0022419947,"teacher_disagreement_score":0.044341005,"about_ca_system_score_codex":0.00017489726,"about_ca_system_score_gemma":0.00021363117,"threshold_uncertainty_score":0.99997306},"labels":[],"label_agreement":null},{"id":"W2042132903","doi":"10.1158/1055-9965.epi-14-0897","title":"Red Meat Intake, NAT2, and Risk of Colorectal Cancer: A Pooled Analysis of 11 Studies","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"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; University Health Network; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Human Genome Research Institute; National Institutes of Health","keywords":"Red meat; Colorectal cancer; Medicine; Pooled analysis; Oncology; Cancer; Internal medicine; Physiology; Food science; Biology; Pathology; Meta-analysis","score_opus":0.030209063464777218,"score_gpt":0.3562228318885898,"score_spread":0.3260137684238126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042132903","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":[0.97743064,0.01932778,0.0023503806,0.00031085155,0.00019370137,0.00024562696,0.00010701135,0.0000062016857,0.000027805032],"genre_scores_gemma":[0.9792501,0.01893523,0.0013886351,0.00007053325,0.000055396682,0.00009454549,0.00011989145,0.000010682132,0.00007499581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978364,0.0008091196,0.0005991883,0.0004534978,0.000078284924,0.00022348258],"domain_scores_gemma":[0.9986173,0.00018698104,0.0006810148,0.0002543588,0.00019581917,0.000064528846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015003947,0.00017767084,0.00076101255,0.00017107817,0.00006328261,0.0000018323794,0.000115909585,0.00018781844,0.000022670585],"category_scores_gemma":[0.0005199778,0.00015917294,0.00033837845,0.00028363243,0.00034637086,0.0000045697575,0.00012308282,0.00006434244,1.4180897e-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":[0.0003231914,0.000046582314,0.82184434,0.00006930704,0.009852741,1.6618938e-7,0.000048649385,0.0004946805,0.15320031,0.00006740227,0.00086580176,0.013186846],"study_design_scores_gemma":[0.00076602877,0.00040154788,0.9150975,0.000064911335,0.0049008825,0.0000012157468,0.00010903627,0.0018163958,0.07517153,0.000489728,0.0009969659,0.00018426844],"about_ca_topic_score_codex":0.0011723533,"about_ca_topic_score_gemma":0.012148755,"teacher_disagreement_score":0.09325317,"about_ca_system_score_codex":0.000041806365,"about_ca_system_score_gemma":0.00006238016,"threshold_uncertainty_score":0.67792904},"labels":[],"label_agreement":null},{"id":"W2042140765","doi":"10.1158/1055-9965.epi-08-1141","title":"Screening for HIV-Associated Anal Cancer: Correlation of HPV Genotypes, p16, and E6 Transcripts with Anal Pathology","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Toronto General Hospital; McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Odds ratio; Anal cancer; Histology; Interquartile range; Confidence interval; Medicine; Genotype; Internal medicine; Gastroenterology; Papillomaviridae; HPV infection; Cancer; Pathology; Biology; Cervical cancer; Genetics","score_opus":0.07859283200618274,"score_gpt":0.40068143297303443,"score_spread":0.3220886009668517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042140765","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":[0.69622695,0.06267841,0.2114518,0.023364324,0.000585617,0.0035367704,0.00039801557,0.00015558802,0.0016025272],"genre_scores_gemma":[0.9925147,0.0020850354,0.0035683587,0.00075337314,0.00015687248,0.00016278996,0.00041759817,0.000020219597,0.00032101665],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99793816,0.00037355843,0.00057843875,0.0004848726,0.00015224458,0.0004727042],"domain_scores_gemma":[0.99871796,0.00033004637,0.00032223665,0.00017385502,0.00027695694,0.00017892955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014294048,0.00019594698,0.00071858463,0.00019679678,0.0001221296,0.000004244803,0.000080750775,0.00030442548,0.00053621456],"category_scores_gemma":[0.0002842475,0.00016452547,0.00016974397,0.00029903642,0.00027402365,0.00009425384,0.00001358665,0.00023983847,6.34196e-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":[0.006663161,0.0001282921,0.48281908,0.00017199533,0.00059427175,0.0000069850653,0.00012294383,0.00014999906,0.0019347277,0.0003352747,0.0027119145,0.50436133],"study_design_scores_gemma":[0.004624956,0.0016085415,0.98409224,0.00013935316,0.00052537746,0.000016391103,0.000049490107,0.005825417,0.0002592368,0.001859219,0.00083837844,0.00016139672],"about_ca_topic_score_codex":0.00044540706,"about_ca_topic_score_gemma":0.0011026695,"teacher_disagreement_score":0.5042,"about_ca_system_score_codex":0.00019900693,"about_ca_system_score_gemma":0.0002428798,"threshold_uncertainty_score":0.67091537},"labels":[],"label_agreement":null},{"id":"W2043285167","doi":"10.1158/1055-9965.epi-14-1248","title":"Folate Pathway Gene Polymorphisms and Risk of Childhood Brain Tumors: Results from an Australian Case–Control Study","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","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":"University of Queensland; DNA Genotek; International Business Machines Corporation","keywords":"MTRR; Methylenetetrahydrofolate reductase; Medicine; Genotype; Internal medicine; Case-control study; Logistic regression; Confidence interval; Odds ratio; Oncology; Genetics; Gene; Biology","score_opus":0.07158356591439995,"score_gpt":0.38347547716881536,"score_spread":0.3118919112544154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043285167","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":[0.99033344,0.0041214665,0.00019161901,0.00303524,0.00020356679,0.0012979625,0.00073110725,0.00004691055,0.000038697566],"genre_scores_gemma":[0.9975825,0.0002563204,0.0009498765,0.00018765031,0.00025944586,0.00007980235,0.00022028206,0.000029325045,0.00043478695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949037,0.0026637837,0.0010014453,0.00074877834,0.00019824812,0.000484084],"domain_scores_gemma":[0.99747705,0.00071108906,0.00053706404,0.00060488726,0.00016670302,0.0005032277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059668976,0.00026350227,0.00084589614,0.00022279317,0.000099264726,0.000008405063,0.00013268669,0.00027032598,0.00006412177],"category_scores_gemma":[0.0020090758,0.00021635821,0.00015681912,0.00022397561,0.00024877305,0.00018065047,0.00006633278,0.0003257394,0.000008435409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004120041,0.0008247579,0.90906435,0.000017704384,0.0026447007,0.0005859375,0.0013212197,0.000016069722,0.00473392,0.000009236918,0.0026342368,0.074027844],"study_design_scores_gemma":[0.012896427,0.004368278,0.9770476,0.00014897517,0.00070332544,0.0002659171,0.00088458613,0.00062471913,0.00093500345,0.0017505918,0.0001604435,0.0002141152],"about_ca_topic_score_codex":0.01677066,"about_ca_topic_score_gemma":0.002424122,"teacher_disagreement_score":0.07381373,"about_ca_system_score_codex":0.00013093256,"about_ca_system_score_gemma":0.00028105712,"threshold_uncertainty_score":0.98977673},"labels":[],"label_agreement":null},{"id":"W2044787392","doi":"10.1158/1055-9965.epi-14-0064","title":"A Review of the Application of Inflammatory Biomarkers in Epidemiologic Cancer Research","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":172,"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 Cancer Foundation; Lunenfeld-Tanenbaum Research Institute; Alberta Health Services","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Inflammation; Cancer; Chemokine; Immune system; Angiogenesis; Cancer biomarkers; Immunology; Medicine; Biomarker; Bioinformatics; Biology; Cancer research; Internal medicine; Genetics","score_opus":0.17194083992438267,"score_gpt":0.5076413329991091,"score_spread":0.3357004930747264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044787392","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":[0.00016182331,0.9886492,0.00014836027,0.0015360226,0.0007719602,0.008338499,0.000108239416,0.000050154667,0.00023574359],"genre_scores_gemma":[0.00014711177,0.98969245,0.0007104303,0.00059513084,0.00024152649,0.008171951,0.00026215994,0.000104991326,0.00007422001],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97499186,0.016182758,0.005697035,0.0014825066,0.00057174836,0.0010741204],"domain_scores_gemma":[0.9863473,0.005076075,0.005327144,0.002220509,0.00076772325,0.00026125813],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.032068957,0.00082115864,0.0062040826,0.0010780513,0.00013154151,0.0000032441374,0.0012077349,0.0015395825,0.00021117282],"category_scores_gemma":[0.010250619,0.0005663594,0.0025972133,0.0024568518,0.0021800755,0.00009602479,0.0005282074,0.0012538466,0.000022048744],"study_design_candidate":"systematic_review","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":[0.00021909273,0.00014356294,0.05537888,0.32498047,0.0024104833,0.0000024400506,0.000010361023,0.0000011859916,0.000026304608,0.00029232868,0.016368559,0.6001663],"study_design_scores_gemma":[0.00063283247,0.000100343954,0.010641834,0.4228303,0.0031275195,0.000017609045,0.000011510451,0.000056097615,0.000021431666,0.0014104908,0.5607517,0.00039836645],"about_ca_topic_score_codex":0.00048503315,"about_ca_topic_score_gemma":0.0001891733,"teacher_disagreement_score":0.599768,"about_ca_system_score_codex":0.001466717,"about_ca_system_score_gemma":0.0026069172,"threshold_uncertainty_score":0.99975663},"labels":[],"label_agreement":null},{"id":"W2045438979","doi":"10.1158/1055-9965.epi-14-1128","title":"Population Distribution of Lifetime Risk of Ovarian Cancer in the United States","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":98,"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; University of British Columbia","funders":"National Center for Research Resources; National Institute of Environmental Health Sciences; National Cancer Institute; Cancer Research UK; National Institute on Aging; Francis Crick Institute","keywords":"Ovarian cancer; Tubal ligation; Medicine; Population; Gynecology; Risk factor; Relative risk; Family history; Obstetrics; Endometriosis; Confidence interval; Cancer; Demography; Family planning; Internal medicine; Environmental health","score_opus":0.06173626028478753,"score_gpt":0.38064059357464436,"score_spread":0.31890433328985685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045438979","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":[0.98099935,0.008020558,0.0013711718,0.0081101,0.00035284788,0.0007856689,0.00029711542,0.00001627672,0.000046938298],"genre_scores_gemma":[0.9927475,0.004529032,0.00037602917,0.00019739564,0.00008303034,0.00024836708,0.0017789076,0.000010328285,0.000029413879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755204,0.0010994207,0.0007248674,0.00026157367,0.0001448884,0.00021720788],"domain_scores_gemma":[0.9983502,0.00043338936,0.00067898753,0.00028604956,0.00017216959,0.00007920768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025224017,0.00014402924,0.0005122524,0.00013878485,0.000031424956,0.0000019957179,0.00008714672,0.00015263475,0.000072446215],"category_scores_gemma":[0.00052344875,0.00009986426,0.0001477276,0.0004994503,0.00012953616,0.00006216791,0.000020017962,0.00012540314,0.000001769641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066291925,0.00025150643,0.9792581,0.000071316856,0.00047730762,0.0000018260165,0.00024400567,0.0015419085,0.000022389982,0.0005497316,0.0043342016,0.012584738],"study_design_scores_gemma":[0.0024046104,0.0003341254,0.98648524,0.00042812637,0.0005695812,0.000002875925,0.00019194103,0.0022708194,0.00015874236,0.0056203455,0.0014534225,0.00008017954],"about_ca_topic_score_codex":0.03276917,"about_ca_topic_score_gemma":0.0010544208,"teacher_disagreement_score":0.03171475,"about_ca_system_score_codex":0.00039468927,"about_ca_system_score_gemma":0.00016073337,"threshold_uncertainty_score":0.9736717},"labels":[],"label_agreement":null},{"id":"W2046694560","doi":"10.1158/1055-9965.epi-06-0881","title":"Interleukin-10 Gene (<i>IL10</i>) Polymorphisms and Human Papillomavirus Clearance among Immunosuppressed Adolescents","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Immunovaccine (Canada)","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Interleukin 10; Haplotype; Biology; Immunology; Single-nucleotide polymorphism; HPV infection; Promoter; Genotype; Internal medicine; Gene; Medicine; Oncology; Cytokine; Cervical cancer; Genetics; Cancer; Gene expression","score_opus":0.0540056696064592,"score_gpt":0.40194057105505965,"score_spread":0.34793490144860045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046694560","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":[0.9695711,0.02341252,0.0016790665,0.0012115268,0.00055641006,0.0009678135,0.000016370794,0.00012592472,0.0024592606],"genre_scores_gemma":[0.9941576,0.001291473,0.00047738044,0.0011445531,0.0004158528,0.00009600278,0.00009801852,0.00004856766,0.002270527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681085,0.0004114978,0.0008943926,0.0007651503,0.00024218937,0.0008759091],"domain_scores_gemma":[0.99838305,0.00021074963,0.00029660497,0.0004998868,0.0001794615,0.00043024606],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026780572,0.00031618954,0.00075048546,0.00024856647,0.00023483105,0.0000149582265,0.00021382235,0.00038842234,0.0021993003],"category_scores_gemma":[0.00027078963,0.00028958797,0.00026807043,0.00027616022,0.00076050434,0.00015800558,0.00016589455,0.00047746435,0.000042394113],"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":[0.0045643165,0.00020732897,0.8231678,0.00028830863,0.00045607926,0.000047043428,0.00007051522,0.0000011406106,0.0377995,0.0001644232,0.0042285994,0.12900496],"study_design_scores_gemma":[0.0032742396,0.00046849946,0.98352945,0.00040459822,0.00016559154,0.000027617505,0.00003871628,0.000053360436,0.007149232,0.0012574368,0.003366043,0.00026523467],"about_ca_topic_score_codex":0.0012894975,"about_ca_topic_score_gemma":0.000657912,"teacher_disagreement_score":0.16036163,"about_ca_system_score_codex":0.00034068042,"about_ca_system_score_gemma":0.00009352921,"threshold_uncertainty_score":0.99995565},"labels":[],"label_agreement":null},{"id":"W2046872239","doi":"10.1158/1055-9965.epi-06-0651","title":"Mammographic Density, Hormone Therapy, and Risk of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Hormone therapy; MAMMOGRAPHIC DENSITY; Medicine; Oncology; Mammography; Internal medicine; Gynecology; Cancer","score_opus":0.024137413655490353,"score_gpt":0.3078660605177537,"score_spread":0.2837286468622634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046872239","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":[0.93692696,0.05920303,0.00058724463,0.0022615474,0.00018085571,0.0003550858,0.00008549805,0.000054435754,0.00034535924],"genre_scores_gemma":[0.9731806,0.025343155,0.00082972867,0.00018632926,0.00017008354,0.000069634436,0.00005216107,0.000019477671,0.00014881857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983781,0.00028115558,0.00050952454,0.00039316984,0.000102525424,0.00033553064],"domain_scores_gemma":[0.99896127,0.0001833894,0.0004082803,0.00022413032,0.0001137063,0.00010922594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093106116,0.00020441279,0.00055021787,0.00028525476,0.00007692939,0.0000062322224,0.000070137496,0.00015363203,0.00004706877],"category_scores_gemma":[0.000038339902,0.00016868555,0.0003110631,0.00039310806,0.0005303443,0.00015002722,0.00003478289,0.00015332372,0.0000011663311],"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":[0.0007020999,0.00011596868,0.8221686,0.0000468528,0.0007413735,0.000003400153,0.0000089203695,0.0000034549303,0.0027467918,0.00021100433,0.0025986095,0.17065296],"study_design_scores_gemma":[0.0015389635,0.00015140612,0.98632276,0.00023389059,0.00040677388,0.00013195102,0.00001780035,0.00010830301,0.00030807927,0.010177741,0.0004529236,0.0001493802],"about_ca_topic_score_codex":0.004719614,"about_ca_topic_score_gemma":0.0003467056,"teacher_disagreement_score":0.17050359,"about_ca_system_score_codex":0.00004233158,"about_ca_system_score_gemma":0.00006230298,"threshold_uncertainty_score":0.7134676},"labels":[],"label_agreement":null},{"id":"W2047733926","doi":"10.1158/1055-9965.epi-06-0964","title":"Concordance of Pharmacogenetic Polymorphisms in Tumor and Germ Line DNA in Adult Patients with Acute Myeloid Leukemia","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Myeloid Leukemia Research","field":"Medicine","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":"Immunovaccine (Canada)","funders":"","keywords":"Buccal swab; Genotype; Myeloid leukemia; Biology; Genotyping; Cancer research; Bone marrow; XRCC1; Molecular biology; Immunology; Genetics; Single-nucleotide polymorphism; Gene","score_opus":0.023116566097873277,"score_gpt":0.3503680302357269,"score_spread":0.3272514641378536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047733926","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":[0.9936185,0.0029604067,0.0009323951,0.0009999044,0.0001554292,0.0011773007,0.000025335017,0.000022207443,0.00010853745],"genre_scores_gemma":[0.993666,0.0016397383,0.00315285,0.0010218101,0.00007720876,0.00012635392,0.00010682596,0.000036504003,0.0001727063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99703586,0.0004008821,0.0010514299,0.0006112296,0.00020402021,0.0006965637],"domain_scores_gemma":[0.9983268,0.00049539376,0.0004675734,0.00029196622,0.00019952674,0.00021878492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021481244,0.00027170876,0.0008244927,0.000500819,0.00003319955,0.0000022670713,0.00014991594,0.0002040239,0.00007043871],"category_scores_gemma":[0.00040143335,0.00023122353,0.00008549802,0.00060535985,0.00052466244,0.00011581989,0.00008422751,0.00041375915,0.0000038783346],"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":[0.0058130077,0.00013196582,0.9356057,0.00012637318,0.00027782246,0.000101776124,0.00009007797,0.000012217509,0.023034712,0.000024798343,0.0003739164,0.0344076],"study_design_scores_gemma":[0.010403735,0.00068687554,0.9748455,0.00072828773,0.00014732368,0.00003970719,0.000041940522,0.0006911307,0.011847824,0.00024088558,0.00011835249,0.00020838826],"about_ca_topic_score_codex":0.0011419271,"about_ca_topic_score_gemma":0.0014896415,"teacher_disagreement_score":0.03923982,"about_ca_system_score_codex":0.0011715794,"about_ca_system_score_gemma":0.0006213848,"threshold_uncertainty_score":0.94290215},"labels":[],"label_agreement":null},{"id":"W2048218196","doi":"10.1158/1055-9965.epi-06-0254","title":"Maternal Supplement, Micronutrient, and Cured Meat Intake during Pregnancy and Risk of Medulloblastoma during Childhood: A Children's Oncology Group Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":45,"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":"National Cancer Institute","keywords":"Medicine; Micronutrient; Odds ratio; Pregnancy; Confidence interval; Case-control study; Quartile; Medulloblastoma; Micronutrient deficiency; Vitamin; Gestation; Pediatrics; Internal medicine; Biology; Pathology","score_opus":0.017245743183303044,"score_gpt":0.3328628186158453,"score_spread":0.3156170754325423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048218196","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":[0.9834097,0.014122192,0.00004176931,0.0004567225,0.00013578533,0.00170064,0.00006201402,0.000039848597,0.000031335385],"genre_scores_gemma":[0.9907495,0.0078665335,0.0006854278,0.000011626035,0.0001417203,0.00018284871,0.00009460455,0.000030080639,0.00023766496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686563,0.00088047166,0.0008651232,0.0006866011,0.00014270374,0.0005594465],"domain_scores_gemma":[0.9988131,0.0001639763,0.000499531,0.00029131776,0.00007187702,0.00016020416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000836069,0.0002803058,0.0007833935,0.00033179813,0.00019276222,0.000008150332,0.00011081805,0.00022865218,0.00010513542],"category_scores_gemma":[0.00013190022,0.0002429484,0.00013614631,0.00019528127,0.00033769186,0.00012860424,0.00020203178,0.00030772793,0.000002079277],"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":[0.0011481429,0.00068632816,0.9772697,0.00023978681,0.0013558187,0.00003221579,0.00018232531,0.000001554769,0.012517219,0.00002579289,0.00018233315,0.0063587963],"study_design_scores_gemma":[0.008337432,0.0014592964,0.98303354,0.0006983473,0.0005995043,0.00024194048,0.00016901034,0.0000193135,0.004819958,0.00037374525,0.000067261964,0.00018068157],"about_ca_topic_score_codex":0.0037887436,"about_ca_topic_score_gemma":0.00310888,"teacher_disagreement_score":0.0076972614,"about_ca_system_score_codex":0.00017433558,"about_ca_system_score_gemma":0.00006333727,"threshold_uncertainty_score":0.99071485},"labels":[],"label_agreement":null},{"id":"W2049880283","doi":"10.1158/1055-9965.epi-14-1076","title":"The Association of Age and Race and the Risk of Large Bowel Polyps","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Sunnybrook Health Science Centre","funders":"Fogarty International Center; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Medicine; Relative risk; Internal medicine; Confidence interval; Incidence (geometry); Gastroenterology; Adenoma; Colorectal cancer; Randomization; Placebo; Cancer; Randomized controlled trial; Pathology","score_opus":0.015578513771853849,"score_gpt":0.3205590455838023,"score_spread":0.30498053181194845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049880283","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":[0.9694783,0.018149018,0.0050107623,0.006127323,0.00035787423,0.00043595707,0.000009859911,0.000020094438,0.0004108292],"genre_scores_gemma":[0.9930468,0.005834628,0.00026387206,0.00014157737,0.000084279505,0.000048241407,0.0000057943284,0.000006318266,0.00056848786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978794,0.0013163978,0.00038058296,0.00017403609,0.00008485693,0.00016473143],"domain_scores_gemma":[0.99669516,0.0023446095,0.00067839696,0.00016777763,0.00007522035,0.000038834005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007088178,0.000083685816,0.00035848707,0.000039375936,0.00015116339,0.0000031308584,0.00004385918,0.00013193698,0.000005813185],"category_scores_gemma":[0.0030535753,0.000048152604,0.000112413174,0.000097986944,0.00028853,0.000032472082,0.000037866204,0.00014426102,3.4188616e-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":[0.0064171124,0.000022680993,0.9050996,0.00008177081,0.000651558,1.9438924e-7,0.00023377645,0.000004897987,0.0006053842,0.00160866,0.0020115771,0.08326284],"study_design_scores_gemma":[0.0028632176,0.00044607202,0.98154914,0.00010934572,0.0004194593,0.0000041758494,0.00009521766,0.0028866967,0.00038523108,0.0067683156,0.004421504,0.00005159851],"about_ca_topic_score_codex":0.000672918,"about_ca_topic_score_gemma":0.000922353,"teacher_disagreement_score":0.08321124,"about_ca_system_score_codex":0.000061949315,"about_ca_system_score_gemma":0.000028608605,"threshold_uncertainty_score":0.36556354},"labels":[],"label_agreement":null},{"id":"W2050710543","doi":"10.1158/1055-9965.epi-08-0503","title":"Fertility Drug Use and Mammographic Breast Density in a Mammography Screening Cohort of Premenopausal Women","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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":"Institute of Population and Public Health","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Obstetrics; Fertility; Gynecology; Odds ratio; Body mass index; Mammography; Cancer; Internal medicine; Population","score_opus":0.05329208715814382,"score_gpt":0.3236973738544376,"score_spread":0.27040528669629377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050710543","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":[0.9944875,0.0035301775,0.00057137245,0.0004279417,0.00014797942,0.0007375378,0.000037485002,0.000042366064,0.000017612314],"genre_scores_gemma":[0.9963657,0.0020137844,0.0011275673,0.00016712167,0.00003157863,0.0001477436,0.000051023115,0.000018448698,0.00007702421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974934,0.0005394711,0.0007670223,0.00057131576,0.00014432223,0.00048449673],"domain_scores_gemma":[0.99870104,0.00027495078,0.00034336463,0.00033399882,0.00011379523,0.00023283498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020012863,0.00022939815,0.0008322782,0.00038960658,0.00008888145,0.0000034533457,0.00007418605,0.0002015919,0.000080073434],"category_scores_gemma":[0.00020587546,0.0002127011,0.00017496868,0.0004872546,0.0006567487,0.00019423234,0.00006417887,0.00025910168,5.685591e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019301289,0.00012760318,0.98911947,0.000121889934,0.00047731303,0.0000132106115,0.00023881886,0.0000037864029,0.0010367816,0.0000115875255,0.00036822585,0.0065511838],"study_design_scores_gemma":[0.001586165,0.00015593898,0.9966565,0.00030073576,0.0001384563,0.000061546816,0.00008611322,0.000119801676,0.00011786754,0.0004873029,0.0001246817,0.0001649095],"about_ca_topic_score_codex":0.00862181,"about_ca_topic_score_gemma":0.0022546398,"teacher_disagreement_score":0.00753701,"about_ca_system_score_codex":0.0001747441,"about_ca_system_score_gemma":0.00011239174,"threshold_uncertainty_score":0.9979799},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2050942680","doi":"10.1158/1055-9965.epi-08-0679","title":"Trends in Area-Socioeconomic and Race-Ethnic Disparities in Breast Cancer Incidence, Stage at Diagnosis, Screening, Mortality, and Survival among Women Ages 50 Years and Over (1987-2005)","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":227,"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 Institute on Minority Health and Health Disparities; U.S. Public Health Service","keywords":"Socioeconomic status; Demography; Ethnic group; Medicine; Breast cancer; Epidemiology; Health equity; Incidence (geometry); Mortality rate; Cancer; Gerontology; Population; Public health; Environmental health; Pathology; Internal medicine","score_opus":0.09830847684407132,"score_gpt":0.40810612539342855,"score_spread":0.3097976485493572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050942680","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":[0.95509654,0.040965125,0.000017811373,0.0032590288,0.00015226126,0.00032619532,0.000091197086,0.00003007183,0.0000617541],"genre_scores_gemma":[0.9622511,0.035566434,0.0001304784,0.0009993342,0.000089552304,0.00027983257,0.000056961373,0.00001824831,0.00060805376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971776,0.00046164743,0.00071566494,0.0007559973,0.00013901263,0.0007500662],"domain_scores_gemma":[0.9987754,0.0003459433,0.00033896486,0.00022686373,0.000023289076,0.00028949394],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024497826,0.00030838436,0.00091400876,0.00039130906,0.000083907216,0.000020052426,0.00009778148,0.0003237397,0.00044141422],"category_scores_gemma":[0.0001040405,0.0003128194,0.00010321468,0.00020500776,0.00053862453,0.00043939106,0.00013502946,0.00031743708,6.83657e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005271978,0.00003336627,0.95651436,0.000055977445,0.00016458503,0.000030462015,0.00031802582,0.00004057628,0.00006462257,0.00003970447,0.0016587705,0.04055233],"study_design_scores_gemma":[0.002004322,0.00013603175,0.9947658,0.0007796508,0.00010289492,0.000021003449,0.0003123542,0.00047748833,0.000006426554,0.0007656945,0.00033968934,0.0002886527],"about_ca_topic_score_codex":0.02304008,"about_ca_topic_score_gemma":0.06731758,"teacher_disagreement_score":0.044277504,"about_ca_system_score_codex":0.00085551373,"about_ca_system_score_gemma":0.00007866029,"threshold_uncertainty_score":0.9999324},"labels":[],"label_agreement":null},{"id":"W2051880983","doi":"10.1158/1055-9965.epi-04-0230","title":"Modifiable Risk Factors Associated with Clearance of Type-Specific Cervical Human Papillomavirus Infections in a Cohort of University Students","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hôpital Notre-Dame; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"McGill University","keywords":"Human papillomavirus; Cohort; Medicine; Risk factor; Internal medicine; Virology","score_opus":0.08728495388261091,"score_gpt":0.3937309581002801,"score_spread":0.30644600421766915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051880983","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":[0.99665076,0.0014060875,0.00019274482,0.00015466455,0.000074575975,0.0005554973,0.000033746128,0.000024940837,0.000906978],"genre_scores_gemma":[0.99753886,0.001834175,0.00009712404,0.000019204925,0.000033433735,0.0000125093275,0.00007271607,0.000013887479,0.00037805573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978027,0.0008082584,0.0004949837,0.00034915557,0.00022932868,0.00031561576],"domain_scores_gemma":[0.9986361,0.0004078094,0.00033997573,0.00024984404,0.00024675103,0.00011949784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016016591,0.00014321704,0.00065568817,0.000235474,0.000081515245,0.0000018921584,0.00014780367,0.00021952955,0.00091129343],"category_scores_gemma":[0.00028777428,0.00012585155,0.00014177331,0.0006562444,0.00033589234,0.00009052968,0.000059528087,0.00032301206,0.0000033490376],"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":[0.0015479301,0.0005973634,0.992839,0.000055871747,0.00054715044,0.0000018077286,0.00006635568,0.0006372117,0.00039817079,0.000097830874,0.00040663916,0.0028047164],"study_design_scores_gemma":[0.0028562217,0.0006018843,0.99426633,0.00017230627,0.00017375116,6.8477635e-7,0.00008570868,0.000416874,0.00027654693,0.00021321808,0.0008328238,0.000103674145],"about_ca_topic_score_codex":0.0036990412,"about_ca_topic_score_gemma":0.0025706394,"teacher_disagreement_score":0.0027010422,"about_ca_system_score_codex":0.0005907449,"about_ca_system_score_gemma":0.00013795852,"threshold_uncertainty_score":0.9978024},"labels":[],"label_agreement":null},{"id":"W2053416605","doi":"10.1158/1055-9965.epi-09-0429","title":"Surveillance Methods for Identifying, Characterizing, and Monitoring Tobacco Products: Potential Reduced Exposure Products as an Example","year":2009,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":24,"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 Cancer Institute; U.S. Public Health Service","keywords":"Variety (cybernetics); Product (mathematics); Tobacco product; Risk analysis (engineering); Strengths and weaknesses; Business; Packaging and labeling; Reliability (semiconductor); Environmental health; Data science; Computer science; Medicine; Marketing","score_opus":0.26812515676593435,"score_gpt":0.5068687031666752,"score_spread":0.23874354640074086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053416605","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":[0.017021561,0.9724526,0.0015427902,0.0005571699,0.004148154,0.0040594502,0.000023286064,0.0001857417,0.000009239716],"genre_scores_gemma":[0.0009471233,0.9716503,0.020291183,0.00007114127,0.0025709057,0.0015889489,0.0021118806,0.000119993965,0.000648515],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930718,0.002578482,0.0015713631,0.0018822653,0.00018045891,0.00071565155],"domain_scores_gemma":[0.99639094,0.00036749116,0.0016464678,0.00095542293,0.00041332128,0.00022637333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007165035,0.0007057411,0.0026961113,0.00037194596,0.00025866483,0.00005001569,0.00025206344,0.0009556457,0.000031419382],"category_scores_gemma":[0.001703849,0.0006367491,0.00046727524,0.00043947774,0.00016478618,0.0003403906,0.000071250855,0.0005183073,0.0000022100985],"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":[0.00019136925,0.000117285716,0.007200373,0.007107767,0.0005602445,0.000004686121,0.000070804854,9.5862276e-8,0.0015379334,0.000017731436,0.00049731205,0.9826944],"study_design_scores_gemma":[0.0021182082,0.0015727017,0.18846825,0.025104322,0.0074874633,0.0004984528,0.000098099255,0.0000075548596,0.0013997298,0.0011224947,0.7705874,0.0015353775],"about_ca_topic_score_codex":0.00025072013,"about_ca_topic_score_gemma":0.0000068317154,"teacher_disagreement_score":0.98115903,"about_ca_system_score_codex":0.00045144904,"about_ca_system_score_gemma":0.0006095698,"threshold_uncertainty_score":0.9996084},"labels":[],"label_agreement":null},{"id":"W2053468856","doi":"10.1158/1055-9965.epi-05-0158","title":"Low-Fat, High Fruit and Vegetable Diets and Weight Loss Do Not Affect Biomarkers of Cellular Proliferation in Barrett Esophagus","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institutes of Health","keywords":"Barrett's esophagus; Gastroenterology; Medicine; Esophagus; Internal medicine; Confidence interval; Biomarker; Relative risk; Adenocarcinoma; Randomized controlled trial; Cancer; Biology; Biochemistry","score_opus":0.027490985465722487,"score_gpt":0.34297546299188103,"score_spread":0.31548447752615855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053468856","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":[0.7777201,0.21586743,0.00040861245,0.0043980298,0.00018590501,0.0013232991,0.000025982246,0.000030594372,0.000040036888],"genre_scores_gemma":[0.9902275,0.007068857,0.0015619487,0.00024691585,0.00020930616,0.0003587366,0.00010899174,0.000027223485,0.00019048461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972311,0.00065656437,0.0006896283,0.00067820126,0.00019607562,0.0005483841],"domain_scores_gemma":[0.9986809,0.00037886674,0.0002788561,0.00030372862,0.000083438215,0.000274239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016707237,0.00029069424,0.0007690278,0.00029463918,0.000088642526,0.000009619906,0.00008133345,0.0002751067,0.00014100272],"category_scores_gemma":[0.0002663047,0.0002478825,0.0001282382,0.00025086588,0.0003917014,0.00022675405,0.00007253297,0.00021578684,0.0000065455774],"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":[0.0023692162,0.0002300268,0.952578,0.0005413167,0.00074835366,0.000057958012,0.00008783184,0.000018203284,0.0033116,0.00028555552,0.0006216502,0.03915031],"study_design_scores_gemma":[0.0061851856,0.00092945265,0.92586726,0.0007801299,0.00029371944,0.00003120366,0.000016790766,0.0009728791,0.06262156,0.0019622296,0.00011687177,0.00022273808],"about_ca_topic_score_codex":0.0004485173,"about_ca_topic_score_gemma":0.00034290136,"teacher_disagreement_score":0.21250743,"about_ca_system_score_codex":0.00037443175,"about_ca_system_score_gemma":0.00015817954,"threshold_uncertainty_score":0.9999973},"labels":[],"label_agreement":null},{"id":"W2055008713","doi":"10.1158/1055-9965.epi-06-0746","title":"Synchronized Seasonal Variations of Mammographic Breast Density and Plasma 25-Hydroxyvitamin D","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Jewish General Hospital; McGill University; Université Laval; The Quebec Population Health Research Network; Centre hospitalier universitaire de Québec","funders":"","keywords":"Breast cancer; Vitamin D and neurology; Medicine; Breast density; Mammography; Bayesian multivariate linear regression; Internal medicine; vitamin D deficiency; Endocrinology; Linear regression; Gynecology; Mathematics; Cancer; Statistics","score_opus":0.020090763100562178,"score_gpt":0.31844240625138,"score_spread":0.2983516431508178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055008713","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":[0.97110724,0.0031068013,0.022228131,0.0020436188,0.0002975091,0.00039735794,0.000039453276,0.00006562695,0.00071424845],"genre_scores_gemma":[0.994736,0.0002883415,0.0044117584,0.00019650141,0.00010610456,0.000021822385,0.000102117236,0.00001530276,0.00012201263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983003,0.00019947335,0.00058515754,0.00039340756,0.00012203462,0.0003996093],"domain_scores_gemma":[0.9985789,0.00053228217,0.00032863553,0.00021527315,0.00012764742,0.00021726039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021397343,0.0001885291,0.0005212394,0.00035709978,0.000090655856,0.000005515538,0.00006979647,0.00018308921,0.000060516424],"category_scores_gemma":[0.0002211475,0.00017555765,0.00028096416,0.00047274027,0.0004892126,0.00017563527,0.00004139943,0.00015846026,0.0000024742592],"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":[0.00038799216,0.00014535557,0.85945714,0.00012843493,0.0007012719,0.00001112359,0.000027196535,0.0000012920266,0.0023914468,0.001727579,0.00046077702,0.13456039],"study_design_scores_gemma":[0.0017269697,0.00014131745,0.99098796,0.00038850377,0.00040183024,0.00053301145,0.00004166254,0.0008409169,0.00035095194,0.004231092,0.00020867029,0.00014713168],"about_ca_topic_score_codex":0.00014425686,"about_ca_topic_score_gemma":0.00011803828,"teacher_disagreement_score":0.13441326,"about_ca_system_score_codex":0.00007782218,"about_ca_system_score_gemma":0.000103228085,"threshold_uncertainty_score":0.71590334},"labels":[],"label_agreement":null},{"id":"W2055303609","doi":"10.1158/1055-9965.epi-05-0121","title":"A Phase I Study of Indole-3-Carbinol in Women: Tolerability and Effects","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","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":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Endocrinology; Internal medicine; Placebo; Medroxyprogesterone; Luteinizing hormone; Medicine; Follicular phase; Hormone; Chemistry; Medroxyprogesterone acetate","score_opus":0.025667324664687637,"score_gpt":0.36123297308823654,"score_spread":0.3355656484235489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055303609","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":[0.99285525,0.0056895963,0.00030567954,0.00024321403,0.00012261217,0.0007305966,0.000010759739,0.000006831115,0.000035447785],"genre_scores_gemma":[0.9983247,0.0004229466,0.00045581014,0.0002526711,0.000120492674,0.00034498188,0.00003251199,0.000012056866,0.00003386083],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978477,0.00068432366,0.000563051,0.0005409564,0.000047118338,0.00031687942],"domain_scores_gemma":[0.9991993,0.00011188984,0.00026539608,0.00028672564,0.000047232912,0.00008950654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010582856,0.00017977878,0.00045651747,0.00007140522,0.00003340364,0.00000256696,0.00013225593,0.00019467514,0.000013087081],"category_scores_gemma":[0.00033098273,0.00017803532,0.00007137237,0.00008297968,0.00019509323,0.000007825953,0.00010652424,0.00010774803,8.841945e-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":[0.0017597936,0.0023923903,0.3898341,0.0001472996,0.00038821684,0.0000012432422,0.00070261874,0.000057694906,0.5088423,0.0000128199,0.0005740572,0.09528748],"study_design_scores_gemma":[0.022179928,0.0060640117,0.63914937,0.00022022695,0.0001234347,0.0000059600898,0.0013200911,0.00033031838,0.3242508,0.0031553202,0.0024953913,0.00070516096],"about_ca_topic_score_codex":0.000079513375,"about_ca_topic_score_gemma":0.00026429273,"teacher_disagreement_score":0.24931526,"about_ca_system_score_codex":0.00008304513,"about_ca_system_score_gemma":0.000051362793,"threshold_uncertainty_score":0.7260069},"labels":[],"label_agreement":null},{"id":"W2057388033","doi":"10.1158/1055-9965.disp-10-b77","title":"Abstract B77: Ethnicity and hematopoietic stem cell transplantation (HSCT) outcomes in British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","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 British Columbia; BC Cancer Agency","funders":"","keywords":"Medicine; Hematopoietic stem cell transplantation; Myeloid leukemia; Internal medicine; Hazard ratio; Proportional hazards model; Transplantation; Univariate analysis; Graft-versus-host disease; Leukemia; Cancer; Oncology; Multivariate analysis; Immunology; Confidence interval","score_opus":0.025322975977424705,"score_gpt":0.306206989633858,"score_spread":0.2808840136564333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057388033","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":[0.9948236,0.001268932,0.00039284493,0.0014371503,0.00075071823,0.0008506066,0.00006854753,0.000050639126,0.00035701547],"genre_scores_gemma":[0.9961868,0.0013340458,0.00093783584,0.00053289713,0.000054667402,0.00015564225,0.00015221689,0.000029181389,0.0006167156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975875,0.000282335,0.00091813673,0.0005608478,0.00018441926,0.00046674808],"domain_scores_gemma":[0.998404,0.0007588741,0.00029444395,0.0002575846,0.00006624628,0.0002188416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014497725,0.00019089693,0.0007578304,0.00007565917,0.00009517098,0.00002179214,0.00009798889,0.00036468406,0.0003099443],"category_scores_gemma":[0.00007328082,0.00026323984,0.00011369851,0.00015469424,0.00016254261,0.000120680226,0.000011725089,0.00046489597,0.000004404088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000797594,0.00009194923,0.98043764,0.0010531629,0.00009641288,0.00010694823,0.00016073998,0.000003643616,0.0056037693,0.0000130451,0.00088676525,0.011466142],"study_design_scores_gemma":[0.0022341816,0.000050851344,0.9947817,0.0005261105,0.00019687258,0.00020957648,0.00019472634,0.000070946924,0.00086982246,0.00042853333,0.00020524378,0.00023146268],"about_ca_topic_score_codex":0.70072407,"about_ca_topic_score_gemma":0.9848865,"teacher_disagreement_score":0.28416243,"about_ca_system_score_codex":0.00019022005,"about_ca_system_score_gemma":0.0005318326,"threshold_uncertainty_score":0.999982},"labels":[],"label_agreement":null},{"id":"W2058265485","doi":"10.1158/1055-9965.epi-06-0345","title":"Body Size, Mammographic Density, and Breast Cancer Risk","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":285,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Cancer Care Ontario; Women's College Hospital; BC Cancer Agency; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Body mass index; MAMMOGRAPHIC DENSITY; Confidence interval; Risk factor; Risk factors for breast cancer; Gynecology; Cancer; Logistic regression; Obstetrics; Mammography; Internal medicine; Oncology","score_opus":0.013284479076142755,"score_gpt":0.3075320363838768,"score_spread":0.294247557307734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058265485","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":[0.970529,0.018970216,0.0008905401,0.00727074,0.0005198172,0.000486932,0.00009494918,0.00015117353,0.0010866353],"genre_scores_gemma":[0.9936009,0.003575842,0.0009978262,0.0006385618,0.00038527205,0.00011776768,0.00006459617,0.000027835647,0.00059141725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793595,0.0003234086,0.00052671914,0.0005868201,0.00011668572,0.0005104061],"domain_scores_gemma":[0.99873924,0.00035993135,0.0003406148,0.00026471404,0.000106502266,0.00018900013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010070701,0.00026700814,0.00056543987,0.00024552614,0.00015674235,0.000016939957,0.00008214072,0.00019826498,0.00014206293],"category_scores_gemma":[0.000118796575,0.00023415347,0.00033560806,0.000436839,0.0004983552,0.0002204203,0.000054956756,0.00023342908,0.0000058020705],"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":[0.00040159049,0.00010548202,0.91815954,0.00008135638,0.000499915,0.000012956655,0.0000062182585,0.0000034396262,0.00085771474,0.0003171786,0.007598582,0.07195602],"study_design_scores_gemma":[0.0012642964,0.00008423273,0.97766936,0.00036174638,0.0006205326,0.00033589706,0.000016751112,0.00018395063,0.00012394364,0.017928049,0.0011878328,0.00022339415],"about_ca_topic_score_codex":0.0034265025,"about_ca_topic_score_gemma":0.000566649,"teacher_disagreement_score":0.07173263,"about_ca_system_score_codex":0.00008742589,"about_ca_system_score_gemma":0.00008327265,"threshold_uncertainty_score":0.95485014},"labels":[],"label_agreement":null},{"id":"W2058951377","doi":"10.1158/1055-9965.epi-06-0127","title":"Cancer after Total Joint Arthroplasty: A Meta-analysis","year":2006,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada); Institute for Clinical Evaluative Sciences","funders":"","keywords":"Joint arthroplasty; Cancer; Medicine; Meta-analysis; Joint (building); Arthroplasty; Oncology; Internal medicine; Surgery; Engineering","score_opus":0.17405781618776148,"score_gpt":0.4281560724062217,"score_spread":0.25409825621846027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058951377","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":[0.00007504627,0.99199975,0.0014061984,0.0014905334,0.0017665373,0.002372708,0.0005621147,0.00019066311,0.00013645027],"genre_scores_gemma":[0.00010761804,0.9775608,0.0019364837,0.0005532699,0.0007732946,0.005963596,0.0011397868,0.0001591074,0.011806042],"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","domain_scores_codex":[0.991624,0.0018411428,0.003126953,0.0018862069,0.00037485815,0.0011468687],"domain_scores_gemma":[0.9951195,0.00084185245,0.0021597233,0.0012913046,0.0001823423,0.00040527582],"candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0020418882,0.0013382696,0.012878111,0.0012328881,0.00013618101,0.000021619237,0.0001833527,0.0012852037,0.0070811957],"category_scores_gemma":[0.00037467526,0.0009673553,0.015417675,0.0014511768,0.00054305274,0.00017480913,0.00021597467,0.00084272743,0.0003126828],"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":[0.00015182115,0.00020274807,0.005239334,0.007218145,0.5999053,0.00009841369,0.000017833612,0.000040557847,7.667017e-7,0.00003743881,0.024460947,0.3626267],"study_design_scores_gemma":[0.00041901236,0.00009519756,0.0048122597,0.0012734943,0.49118197,0.00008108715,0.000003920675,0.000019123065,4.303542e-7,0.000095687945,0.50148666,0.0005311259],"about_ca_topic_score_codex":0.0012928568,"about_ca_topic_score_gemma":0.0023645405,"teacher_disagreement_score":0.47702575,"about_ca_system_score_codex":0.0009307755,"about_ca_system_score_gemma":0.0008941636,"threshold_uncertainty_score":0.9999368},"labels":[],"label_agreement":null},{"id":"W2067971776","doi":"10.1158/1055-9965.epi-14-0146","title":"Prognostic Role of Platelet to Lymphocyte Ratio in Solid Tumors: A Systematic Review and Meta-Analysis","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":715,"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":"Swiss Cancer Research Foundation; American Association for Cancer Research","keywords":"Internal medicine; Medicine; Meta-analysis; Confidence interval; Gastroenterology; Hepatocellular carcinoma; Biomarker; Oncology; Lymphocyte; Disease","score_opus":0.08690363059275764,"score_gpt":0.42326035623513325,"score_spread":0.3363567256423756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067971776","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":[0.000033159376,0.9868305,0.00028272485,0.00037001158,0.00007154053,0.01220629,0.00011994933,0.00005358889,0.00003223907],"genre_scores_gemma":[0.00020471418,0.9844629,0.0012037563,0.00081209495,0.00004399435,0.012598213,0.00043911918,0.00007886855,0.00015633515],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9873586,0.005372166,0.0050294087,0.0012971145,0.00028690812,0.0006557598],"domain_scores_gemma":[0.99285316,0.0018401279,0.0034513324,0.0012101873,0.0002547227,0.0003904734],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.008194826,0.0009165924,0.020240303,0.0013728667,0.00005835275,0.0000109494395,0.00039151244,0.000655284,0.000283864],"category_scores_gemma":[0.00469849,0.00067164237,0.0043254006,0.0017204239,0.0002520766,0.00009152513,0.00019649007,0.00030278158,0.00003404254],"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":[0.00006789088,0.00008187566,0.0010427464,0.7805136,0.20800078,0.00001615453,0.000019221066,0.0000021436877,0.0000010206467,0.00003848595,0.00033730117,0.009878811],"study_design_scores_gemma":[0.00032429746,0.00012750734,0.0003499389,0.19355042,0.8000651,0.000056713616,0.000010588919,0.000082956634,0.000003272507,0.00014725461,0.0048209955,0.0004609696],"about_ca_topic_score_codex":0.000086811495,"about_ca_topic_score_gemma":0.0000820645,"teacher_disagreement_score":0.5920643,"about_ca_system_score_codex":0.0005728123,"about_ca_system_score_gemma":0.0006781717,"threshold_uncertainty_score":0.99957347},"labels":[],"label_agreement":null},{"id":"W2069179576","doi":"10.1158/1055-9965.epi-08-0241","title":"Factorial Validity and Invariance of a Survey Measuring Psychosocial Correlates of Colorectal Cancer Screening in Ontario, Canada—A Replication Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":24,"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 for Clinical Evaluative Sciences; Health Sciences Centre; Sunnybrook Health Science Centre; Cancer Care Ontario; York University; University of Toronto","funders":"","keywords":"Measurement invariance; Psychosocial; Psychology; Confirmatory factor analysis; Construct validity; Clinical psychology; Psychometrics; Structural equation modeling; Statistics; Psychiatry; Mathematics","score_opus":0.181037379306647,"score_gpt":0.3625973922828303,"score_spread":0.18156001297618327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069179576","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":[0.9958544,0.0011989484,0.00089304824,0.00012950778,0.0009778544,0.0008621289,0.000025381358,0.000018934705,0.000039798593],"genre_scores_gemma":[0.9989792,0.00023591603,0.00038357897,0.000022085314,0.000082636034,0.00018660002,0.00004227655,0.000013971728,0.000053709304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997201,0.0009254707,0.00085437763,0.00055349024,0.0002106468,0.00025501646],"domain_scores_gemma":[0.9981511,0.0006040545,0.0006879286,0.00023553283,0.00022882363,0.00009253427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026486274,0.00017950311,0.0007516635,0.0001401195,0.00009714237,0.0000016263401,0.00008093431,0.00019610276,0.000051083192],"category_scores_gemma":[0.001215536,0.0001836282,0.000089085086,0.00033559656,0.00016958537,0.000088542896,0.00004147448,0.00030146702,9.001534e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008874414,0.00012115879,0.9855378,0.000038618648,0.00024439758,0.0000027106046,0.0005301895,0.00007972065,0.00088998064,0.0000020349505,0.000398703,0.0032802564],"study_design_scores_gemma":[0.0023086327,0.0010291978,0.99457365,0.0002702553,0.000112937676,0.000011318733,0.00008353268,0.0003397489,0.0009975865,0.0000931706,0.000043502012,0.00013649162],"about_ca_topic_score_codex":0.9818714,"about_ca_topic_score_gemma":0.99502164,"teacher_disagreement_score":0.013150249,"about_ca_system_score_codex":0.0006881862,"about_ca_system_score_gemma":0.001356172,"threshold_uncertainty_score":0.7488141},"labels":[],"label_agreement":null},{"id":"W2070419199","doi":"10.1158/1055-9965.epi-08-0169","title":"Cyclin D1 Pro241Pro (CCND1-G870A) Polymorphism Is Associated with Increased Cancer Risk in Human Populations: A Meta-Analysis","year":2008,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":68,"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; University of Toronto; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"","keywords":"Odds ratio; Meta-analysis; Medicine; Internal medicine; Confidence interval; Colorectal cancer; Breast cancer; Oncology; Allele; Cancer; Gastroenterology; Genetics; Biology; Gene","score_opus":0.25277981590595194,"score_gpt":0.4518804463218826,"score_spread":0.19910063041593068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070419199","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":[0.00087862136,0.990747,0.0007231566,0.000623062,0.0004022299,0.0051357043,0.001194408,0.00020049681,0.00009533306],"genre_scores_gemma":[0.00095921283,0.9821244,0.0010791662,0.0005442418,0.00020161676,0.007354629,0.0063882708,0.00023079128,0.0011176902],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9861909,0.0062220753,0.003559631,0.0022949402,0.0005537103,0.0011787519],"domain_scores_gemma":[0.9917617,0.0008630548,0.005061871,0.0015549844,0.0003245389,0.00043388322],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0035228932,0.0014106397,0.010854485,0.0022974738,0.00033316144,0.00001674814,0.00043924595,0.0021241903,0.0015831892],"category_scores_gemma":[0.0015100315,0.0011105016,0.006600075,0.004060164,0.0005219116,0.0001601027,0.00012516661,0.0017591136,0.000023240178],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051432167,0.0009685335,0.048341922,0.0032232704,0.7892084,0.00031069916,0.00015654914,0.0002263803,0.000023547593,0.00006088902,0.014500626,0.14246483],"study_design_scores_gemma":[0.0036715483,0.00043137532,0.018910622,0.008955076,0.8513879,0.000120887315,0.000012281617,0.00032458597,0.000008131451,0.00058587256,0.1139908,0.0016009047],"about_ca_topic_score_codex":0.02232804,"about_ca_topic_score_gemma":0.019167587,"teacher_disagreement_score":0.14086393,"about_ca_system_score_codex":0.0032225384,"about_ca_system_score_gemma":0.0019833895,"threshold_uncertainty_score":0.9998644},"labels":[],"label_agreement":null},{"id":"W2071923947","doi":"10.1158/1055-9965.epi-06-0477","title":"Obesity, Diabetes, and Risk of Prostate Cancer: Results from the Prostate Cancer Prevention Trial","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":351,"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; Jewish General Hospital","funders":"National Cancer Institute","keywords":"Prostate cancer; Medicine; Body mass index; Cancer; Internal medicine; Obesity; Oncology; Odds ratio; Prostate; Prostate biopsy; Confidence interval; Gynecology","score_opus":0.042161447824823825,"score_gpt":0.366606532982372,"score_spread":0.32444508515754816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071923947","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":[0.89345974,0.09227298,0.000033616987,0.008336748,0.0008341998,0.0036146056,0.0012695,0.00006342919,0.000115198156],"genre_scores_gemma":[0.87362957,0.11475659,0.00052359205,0.00018525406,0.0009994588,0.0024319545,0.0014902375,0.000058812126,0.005924511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952418,0.0015439205,0.0012737578,0.00090190215,0.00030598277,0.0007325883],"domain_scores_gemma":[0.99681175,0.0010500553,0.0011797491,0.0005296151,0.0002620214,0.00016683068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030757107,0.00037931907,0.00093095633,0.00013848928,0.00028861157,0.00001929172,0.00018911314,0.00030836326,0.00013294234],"category_scores_gemma":[0.00048955524,0.00025340027,0.00032873361,0.0003848049,0.00070873677,0.00019051875,0.00013782973,0.00041247092,0.000004631603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03581151,0.00030805526,0.87887293,0.00014895608,0.0016355345,0.0000041338185,0.00023206157,0.00005432298,0.0011555803,0.000035503454,0.0143690165,0.0673724],"study_design_scores_gemma":[0.059778992,0.0011860457,0.91025937,0.001565051,0.0019226169,0.0000016999822,0.00011666618,0.0005275296,0.0037015562,0.014983083,0.0056163836,0.000341012],"about_ca_topic_score_codex":0.02615633,"about_ca_topic_score_gemma":0.006354106,"teacher_disagreement_score":0.06703138,"about_ca_system_score_codex":0.00043912375,"about_ca_system_score_gemma":0.0006401745,"threshold_uncertainty_score":0.99999183},"labels":[],"label_agreement":null},{"id":"W2072144889","doi":"10.1158/1055-9965.epi-04-0561","title":"Circulating Levels of Insulin-like Growth Factors, their Binding Proteins, and Breast Cancer Risk","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":182,"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 Cancer Institute","keywords":"Breast cancer; Medicine; Confidence interval; Internal medicine; Relative risk; Prospective cohort study; Oncology; Logistic regression; Insulin-like growth factor-binding protein; Case-control study; Cancer; Risk factor; Insulin-like growth factor; Nested case-control study; Gynecology; Endocrinology; Growth factor; Receptor","score_opus":0.05330913239366329,"score_gpt":0.32729159579922096,"score_spread":0.27398246340555765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072144889","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":[0.9787706,0.015688712,0.0011977882,0.0022729537,0.00045577192,0.0010088021,0.00041139813,0.00010119297,0.000092792856],"genre_scores_gemma":[0.9914921,0.005257909,0.0021312018,0.0003199255,0.0003638931,0.00015099515,0.00010487522,0.000055082215,0.00012399917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964958,0.0006857385,0.0012297223,0.00074221607,0.00018849492,0.00065806863],"domain_scores_gemma":[0.9975406,0.00049462775,0.0010684676,0.0003629458,0.00023524968,0.0002980863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001791673,0.0004473415,0.0010698297,0.00034577184,0.00022364731,0.000008861172,0.00015749731,0.00046246726,0.00022573599],"category_scores_gemma":[0.0005779343,0.0003578757,0.00033067245,0.00041525604,0.00036526463,0.00034882576,0.00010281207,0.00046395775,0.000005790029],"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":[0.0003045633,0.00011198516,0.90318257,0.00024611084,0.0008377329,0.0000024298622,0.00038511478,0.000009979873,0.021111919,0.00008667229,0.0006876666,0.07303327],"study_design_scores_gemma":[0.0018887063,0.00020008326,0.9877981,0.00070850074,0.00042233782,0.00004943381,0.00022051405,0.0006589418,0.00617618,0.0009104559,0.000617273,0.00034947295],"about_ca_topic_score_codex":0.0015830696,"about_ca_topic_score_gemma":0.00016594779,"teacher_disagreement_score":0.08461555,"about_ca_system_score_codex":0.0003571454,"about_ca_system_score_gemma":0.000255688,"threshold_uncertainty_score":0.99988735},"labels":[],"label_agreement":null},{"id":"W2075784715","doi":"10.1158/1055-9965.epi-08-0878","title":"The Association of Tumor Microsatellite Instability Phenotype with Family History of Colorectal Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","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":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Cancer Institute; University of California, Irvine; Cancer Research UK","keywords":"Microsatellite instability; Colorectal cancer; Family history; Medicine; Oncology; Internal medicine; Cancer; Population; Biology; Microsatellite; Genetics; Gene; Allele","score_opus":0.031257728191191735,"score_gpt":0.3171907633517066,"score_spread":0.2859330351605149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075784715","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":[0.9532871,0.04184537,0.000155119,0.0017342595,0.0011724214,0.0008271181,0.000025591686,0.000030881878,0.00092212827],"genre_scores_gemma":[0.9941621,0.0024038898,0.0018579555,0.0005057612,0.000078658566,0.00013774999,0.00002405697,0.00001783907,0.00081199425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752754,0.0006026817,0.0008478203,0.00040108786,0.00023346623,0.00038739873],"domain_scores_gemma":[0.9972284,0.00076349586,0.0011626596,0.0003164236,0.0004392616,0.0000897807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021764708,0.00021084196,0.0006925442,0.00007822632,0.000057026384,0.0000017825953,0.00015859312,0.00021175308,0.00009177171],"category_scores_gemma":[0.000746451,0.0001483999,0.0002124369,0.00022747986,0.00048789885,0.00005662754,0.000026072034,0.0002270629,0.0000017617168],"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":[0.004979816,0.00016262852,0.7797824,0.00014171266,0.00062180986,0.0000010454197,0.00025330533,0.000048468784,0.16292259,0.00009567806,0.0077902735,0.04320024],"study_design_scores_gemma":[0.0012868732,0.0011158595,0.973331,0.00026515743,0.0003477546,0.0000027828983,0.00006022374,0.00011296722,0.011104971,0.0010834337,0.011140415,0.00014857529],"about_ca_topic_score_codex":0.00066651264,"about_ca_topic_score_gemma":0.000875529,"teacher_disagreement_score":0.19354856,"about_ca_system_score_codex":0.0029247003,"about_ca_system_score_gemma":0.0011522876,"threshold_uncertainty_score":0.76479894},"labels":[],"label_agreement":null},{"id":"W2076347442","doi":"10.1158/1055-9965.epi-14-0744","title":"Personal Navigation Increases Colorectal Cancer Screening Uptake","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":62,"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; Health Sciences Centre; Group Health Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Colorectal cancer; Colonoscopy; Randomized controlled trial; Randomization; Confidence interval; Psychological intervention; Intervention (counseling); Cancer; Cancer screening; Internal medicine; Physical therapy; Nursing","score_opus":0.05037992079115527,"score_gpt":0.36065088746185886,"score_spread":0.3102709666707036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076347442","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":[0.96221465,0.007095809,0.025376424,0.002827554,0.0010046817,0.00059841166,0.000022947248,0.0002874683,0.00057202764],"genre_scores_gemma":[0.99217135,0.0004393855,0.0041304813,0.00082255196,0.0010477179,0.0005591118,0.00025461166,0.00004090323,0.0005338726],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972158,0.0006826793,0.00064618385,0.0007067109,0.00021897108,0.00052966154],"domain_scores_gemma":[0.99843,0.0004764154,0.00042613054,0.00020403406,0.000195055,0.00026835754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020064185,0.00029915522,0.0006405651,0.00019534455,0.00027272743,0.000013182471,0.00010112085,0.00034679874,0.0004563884],"category_scores_gemma":[0.00077229406,0.00028357256,0.00035888766,0.00036601434,0.00024185536,0.00018155226,0.000053240165,0.00034801388,0.00002120354],"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":[0.0074294647,0.00010953762,0.46654838,0.00015057813,0.0007191014,0.000004847438,0.000120808516,0.00010867768,0.0066794464,0.00012432844,0.005665928,0.5123389],"study_design_scores_gemma":[0.0027291935,0.0019468468,0.94539875,0.0011973188,0.0005969824,0.00011939457,0.00012561987,0.03099541,0.0027009186,0.0012193883,0.012540973,0.0004291947],"about_ca_topic_score_codex":0.003297146,"about_ca_topic_score_gemma":0.00078783365,"teacher_disagreement_score":0.5119097,"about_ca_system_score_codex":0.0004001774,"about_ca_system_score_gemma":0.0002028619,"threshold_uncertainty_score":0.9999616},"labels":[],"label_agreement":null},{"id":"W2077454706","doi":"10.1158/1055-9965.epi-05-0065","title":"The Relationship Between Student Smoking in the School Environment and Smoking Onset in Elementary School Students","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario; Canadian Cancer Society; University of Toronto; University of Waterloo","funders":"","keywords":"Odds ratio; Confidence interval; Logistic regression; Odds; Medicine; Smoke; Psychology; Demography; Environmental health; Medical education; Internal medicine; Geography; Sociology","score_opus":0.09160228539121791,"score_gpt":0.42182177018573114,"score_spread":0.33021948479451324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077454706","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":[0.9866573,0.003540556,0.00015527899,0.008399187,0.00015812054,0.0010274035,0.000004646331,0.000017667635,0.000039804534],"genre_scores_gemma":[0.9971234,0.0010310096,0.00012007833,0.0008483435,0.00019607686,0.00046223734,0.000096649994,0.000015031845,0.0001071477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966195,0.0014089609,0.0008297494,0.0004102394,0.00034130624,0.00039020422],"domain_scores_gemma":[0.99774164,0.0015213143,0.0002816582,0.00034463764,0.0000138608675,0.00009689267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073335976,0.00018460565,0.00030299855,0.00017346123,0.00025696214,0.00002667548,0.00023549519,0.00018793973,0.00008767013],"category_scores_gemma":[0.0005798043,0.00012868605,0.00008444423,0.00019245395,0.00014800475,0.00015543967,0.00009223848,0.0005778736,0.0000042451616],"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":[0.000088215005,0.00009411135,0.9853463,0.000013084541,0.00011075328,0.000003441941,0.00025324072,0.000025723284,0.000010716166,0.00006320542,0.00059170194,0.013399459],"study_design_scores_gemma":[0.001844003,0.00008733152,0.9937984,0.0003052172,0.00024330686,0.000007440199,0.0009929236,0.00001509087,0.000010781919,0.0016451196,0.00093147287,0.00011892006],"about_ca_topic_score_codex":0.0003337952,"about_ca_topic_score_gemma":0.00046044914,"teacher_disagreement_score":0.01328054,"about_ca_system_score_codex":0.0010150685,"about_ca_system_score_gemma":0.000067150686,"threshold_uncertainty_score":0.5247665},"labels":[],"label_agreement":null},{"id":"W2077796933","doi":"10.1158/1055-9965.epi-07-2524","title":"Height, Body Mass Index, and Ovarian Cancer: A Pooled Analysis of 12 Cohort Studies","year":2008,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":152,"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 Cancer Institute","keywords":"Medicine; Body mass index; Confidence interval; Relative risk; Multivariate analysis; Cohort study; Ovarian cancer; Anthropometry; Prospective cohort study; Internal medicine; Population; Proportional hazards model; Gynecology; Multivariate statistics; Demography; Cancer; Obstetrics; Oncology; Statistics","score_opus":0.10792406471002941,"score_gpt":0.4377777055323646,"score_spread":0.3298536408223352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077796933","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":[0.00023858335,0.9950808,0.0001839894,0.00095213513,0.00076178455,0.0023099044,0.00028690026,0.000051889958,0.00013398453],"genre_scores_gemma":[0.0005824863,0.99363387,0.0008258854,0.00020015522,0.0002839716,0.0030298345,0.0007959986,0.00006693404,0.0005808658],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943655,0.001286781,0.002145457,0.0013579683,0.00024281481,0.00060146325],"domain_scores_gemma":[0.9954324,0.0011833606,0.002093882,0.00079024315,0.00022422757,0.00027588493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012701529,0.0008089807,0.007807488,0.0010635906,0.00014425273,0.0000060343655,0.00017992215,0.00081029884,0.0003237526],"category_scores_gemma":[0.0003220077,0.000611576,0.0019584089,0.0011514114,0.00057888223,0.00008173146,0.00010726937,0.00037973167,0.0000042778847],"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":[0.00015173685,0.00015861173,0.3160695,0.005173804,0.18592155,0.00003880901,0.000030655516,0.0000051809443,7.0725287e-7,0.00009101114,0.0049227164,0.48743573],"study_design_scores_gemma":[0.0022533692,0.00040645644,0.25012442,0.02225959,0.24585573,0.000060853712,0.000033913475,0.000128298,0.0000025837087,0.00040299253,0.4777808,0.0006910194],"about_ca_topic_score_codex":0.0014113347,"about_ca_topic_score_gemma":0.0006955442,"teacher_disagreement_score":0.4867447,"about_ca_system_score_codex":0.0012722922,"about_ca_system_score_gemma":0.000913538,"threshold_uncertainty_score":0.99963355},"labels":[],"label_agreement":null},{"id":"W2079947869","doi":"10.1158/1055-9965.epi-08-0040","title":"The Ratio of Specific Polychlorinated Biphenyls as a Surrogate Biomarker of Cytochrome P4501A2 Activity—A Pharmaco-Metabonomic Study in Humans","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agency for Toxic Substances and Disease Registry; National Institute of Environmental Health Sciences; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Chemistry; Biomarker; Cytochrome; Chromatography; Environmental chemistry; Biochemistry; Enzyme","score_opus":0.07609623795245418,"score_gpt":0.36540284272816925,"score_spread":0.28930660477571507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079947869","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":[0.99536544,0.002021638,0.00021523754,0.00039939713,0.0005019432,0.0011510127,0.000041102117,0.000027943752,0.00027629995],"genre_scores_gemma":[0.99768937,0.0017545004,0.00010907583,0.00003079906,0.000028858156,0.00007896015,0.0000026148764,0.000028697825,0.0002771146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956203,0.0017307852,0.0011983204,0.00060694106,0.00022959254,0.00061404525],"domain_scores_gemma":[0.9975492,0.0007355447,0.0009918392,0.00059088005,0.0000073990877,0.00012513968],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003329806,0.00029876817,0.00073659536,0.00016843612,0.00019287327,0.0000041581993,0.00051697646,0.00013162543,0.0015984458],"category_scores_gemma":[0.0002793322,0.00023892295,0.00021698551,0.0007264425,0.0010362027,0.00032228522,0.0001933488,0.00021302215,0.00007381141],"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":[0.00082295435,0.00037660857,0.6039863,0.000006367985,0.00031625986,0.0000100247335,0.00037930414,0.0000673474,0.34881738,0.000011030054,0.00029185342,0.044914562],"study_design_scores_gemma":[0.0017610221,0.00024518522,0.97307587,0.000034500103,0.000058532612,0.000010715074,0.00019009743,0.00030587197,0.023390478,0.00049223204,0.00023291905,0.00020261],"about_ca_topic_score_codex":0.006405489,"about_ca_topic_score_gemma":0.0035347485,"teacher_disagreement_score":0.3690895,"about_ca_system_score_codex":0.0009137949,"about_ca_system_score_gemma":0.0001809987,"threshold_uncertainty_score":0.99931425},"labels":[],"label_agreement":null},{"id":"W2080798991","doi":"10.1158/1055-9965.disp12-ed01-02","title":"Abstract ED01-02: Employing a community partnership approach to recruit African American men to a cancer prevention trial.","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer prevention; Prostate cancer; Population; Gerontology; Cancer; Health equity; Demography; General partnership; Family medicine; Public health; Environmental health; Internal medicine; Political science; Nursing","score_opus":0.7372411709864444,"score_gpt":0.6342620585611188,"score_spread":0.10297911242532554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080798991","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":[0.92168826,0.0040493603,0.008927595,0.03374881,0.0013795239,0.008667077,0.000045268083,0.00033133247,0.021162786],"genre_scores_gemma":[0.97453153,0.0010839521,0.010090098,0.0033210428,0.0011560842,0.005200734,0.00012744905,0.00008793811,0.004401154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98972094,0.005406752,0.0017168822,0.00089878746,0.0006644302,0.0015922139],"domain_scores_gemma":[0.986744,0.009325365,0.0007708565,0.0012947503,0.0004280315,0.001436984],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.036629777,0.00043677664,0.0013972925,0.00043371087,0.00041505144,0.000023573735,0.0006262711,0.0006393037,0.00036304913],"category_scores_gemma":[0.024670856,0.0004012179,0.00053891126,0.0011058787,0.0006160671,0.0002328925,0.00040480864,0.0025130187,0.00011920175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0726005,0.0050895787,0.46725118,0.0015036981,0.0034272957,0.0000050241765,0.00597808,0.00013852582,0.0043598376,0.002656116,0.085005604,0.35198456],"study_design_scores_gemma":[0.016845198,0.0042741075,0.92130566,0.0028880485,0.0009671505,0.000013241395,0.004967863,0.0001588958,0.0006427331,0.019372953,0.027401648,0.0011625201],"about_ca_topic_score_codex":0.0072804377,"about_ca_topic_score_gemma":0.0026506358,"teacher_disagreement_score":0.45405447,"about_ca_system_score_codex":0.0013786996,"about_ca_system_score_gemma":0.0008324136,"threshold_uncertainty_score":0.99984396},"labels":[],"label_agreement":null},{"id":"W2082527986","doi":"10.1158/1055-9965.epi-14-0804","title":"<i>UGT1A</i> and <i>UGT2B</i> Genetic Variation Alters Nicotine and Nitrosamine Glucuronidation in European and African American Smokers","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","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":"Centre for Addiction and Mental Health; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; National Center for Research Resources; National Institute of General Medical Sciences; National Institute on Drug Abuse; U.S. Public Health Service","keywords":"Glucuronidation; Cotinine; UGT2B7; Glucuronosyltransferase; Nicotine; Chemistry; Nitrosamine; Carcinogen; Genetics; Internal medicine; Biology; Medicine; Biochemistry; Enzyme; Microsome","score_opus":0.02836430199873703,"score_gpt":0.3239324328410012,"score_spread":0.2955681308422642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082527986","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":[0.9905955,0.0011193675,0.0048547476,0.0026052974,0.00017691399,0.00039975584,0.000004912293,0.000046308534,0.00019720139],"genre_scores_gemma":[0.9956959,0.0016071991,0.0016326859,0.0007051951,0.00011529384,0.000053836473,0.00011410006,0.000026383292,0.000049409446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976491,0.0009275589,0.00050631975,0.00053473224,0.000094690775,0.00028762288],"domain_scores_gemma":[0.9989944,0.00026367515,0.000361121,0.00019159725,0.000044504995,0.00014470032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017804381,0.00019830179,0.00041926745,0.00020111744,0.00008253396,0.000013617959,0.000044117158,0.00009337421,0.000012345489],"category_scores_gemma":[0.00032079575,0.00019329402,0.000040805196,0.00022023832,0.00035167765,0.00011429381,0.00004656855,0.00016009127,7.6852257e-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":[0.00018366608,0.00004501397,0.8571405,0.000053957312,0.00005156686,0.0000013060909,0.00018032681,0.00000936161,0.005645245,0.000074997115,0.00013273073,0.13648134],"study_design_scores_gemma":[0.0017762621,0.00045325686,0.99410284,0.00015034075,0.0002421757,0.000027127604,0.00010732019,0.0015915253,0.00017401388,0.0005829281,0.0006200222,0.00017218919],"about_ca_topic_score_codex":0.0008544526,"about_ca_topic_score_gemma":0.00018638643,"teacher_disagreement_score":0.13696235,"about_ca_system_score_codex":0.00011333644,"about_ca_system_score_gemma":0.00002840704,"threshold_uncertainty_score":0.7882302},"labels":[],"label_agreement":null},{"id":"W2082639268","doi":"10.1158/1055-9965.epi-05-0105","title":"Genetic Polymorphisms of Glutathione<i>S</i>-Transferases and the Risk of Adult Brain Tumors: A Meta-analysis","year":2005,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; Juravinski Cancer Centre","funders":"","keywords":"Glioma; Odds ratio; GSTP1; Confidence interval; Meta-analysis; Oncology; Internal medicine; Medicine; Genotype; Subgroup analysis; Astrocytoma; Bioinformatics; Biology; Genetics; Cancer research; Gene","score_opus":0.05766478841641063,"score_gpt":0.35789574040474786,"score_spread":0.3002309519883372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082639268","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":[0.0015688252,0.9895448,0.0056653577,0.00073385437,0.00012359298,0.0012484959,0.0010883064,0.000011730202,0.000015008766],"genre_scores_gemma":[0.0064974762,0.99016225,0.0014545094,0.00030976077,0.00017573638,0.0006105613,0.0005242118,0.00006070283,0.00020480777],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99124366,0.004726564,0.002382137,0.0009909864,0.00018513203,0.0004715253],"domain_scores_gemma":[0.9957214,0.0012576538,0.0017546979,0.00095110567,0.00017200355,0.00014311049],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025314365,0.0007341031,0.005190843,0.00033015417,0.0001229984,0.00000767166,0.0005064279,0.0007415536,0.00017223299],"category_scores_gemma":[0.00053992093,0.00046335784,0.006539352,0.00054936256,0.0012403692,0.000008511204,0.00010230551,0.0003237796,0.0000022944791],"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":[0.0010411238,0.00024954788,0.0014672417,0.0039750333,0.5531787,0.0000048740544,0.00012557535,0.00029498618,0.000376123,0.0009939729,0.0015524639,0.4367403],"study_design_scores_gemma":[0.0025652105,0.0005984573,0.0010655061,0.0010953373,0.8696503,0.000081139086,0.000035913727,0.000103340186,0.00030033413,0.0011892186,0.12225063,0.001064585],"about_ca_topic_score_codex":0.0012687744,"about_ca_topic_score_gemma":0.0008035093,"teacher_disagreement_score":0.43567574,"about_ca_system_score_codex":0.000027564229,"about_ca_system_score_gemma":0.0002976818,"threshold_uncertainty_score":0.9997818},"labels":[],"label_agreement":null},{"id":"W2083042563","doi":"10.1158/1055-9965.epi-07-0155","title":"Prognostic Relevance of Carbohydrate Antigen 19-9 Levels in Patients with Advanced Biliary Tract Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","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":"Immunovaccine (Canada)","funders":"","keywords":"Medicine; Hazard ratio; Biliary tract cancer; Internal medicine; Gastroenterology; Confidence interval; Subgroup analysis; Stent; Biliary tract; Cancer; Chemotherapy; Clinical significance; Oncology; Gemcitabine","score_opus":0.057236220343056664,"score_gpt":0.4075409486087674,"score_spread":0.35030472826571074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083042563","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":[0.9876074,0.0075530885,0.0015851056,0.00090254896,0.00025443154,0.0017432198,0.000035788016,0.000033689805,0.00028472522],"genre_scores_gemma":[0.99123,0.0018120974,0.0059349285,0.00026583776,0.00006702871,0.00026355812,0.00008412816,0.00003027529,0.00031215217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698836,0.00047849453,0.0010039837,0.0005707535,0.00023312111,0.0007252983],"domain_scores_gemma":[0.99724513,0.0013831558,0.0005308512,0.0003577498,0.0002569924,0.0002260883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029192164,0.00024995152,0.0010455966,0.00032332205,0.00006278366,0.0000016117439,0.00013987251,0.00030446023,0.00017149374],"category_scores_gemma":[0.0015765482,0.00019568224,0.00012484132,0.00055883976,0.00047201815,0.00013635693,0.000038321403,0.00033206548,0.0000050007725],"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":[0.0027599474,0.00045970804,0.95609444,0.00022894242,0.00036720993,0.000020866484,0.00009518468,0.000040060902,0.0013139959,0.00003014439,0.00024582277,0.038343657],"study_design_scores_gemma":[0.0043765297,0.0009864744,0.9915116,0.0010591495,0.00023286809,0.0000035184926,0.000047239773,0.00023769306,0.0003667198,0.00067264016,0.00032200094,0.00018355915],"about_ca_topic_score_codex":0.0008716216,"about_ca_topic_score_gemma":0.00096728024,"teacher_disagreement_score":0.038160097,"about_ca_system_score_codex":0.00047894983,"about_ca_system_score_gemma":0.00066243747,"threshold_uncertainty_score":0.797969},"labels":[],"label_agreement":null},{"id":"W2085682959","doi":"10.1158/1055-9965.epi-07-0509","title":"Is Mammography Adequate for Screening Women with Inherited BRCA Mutations and Low Breast Density?","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Women's College Hospital; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Breast Cancer Research Alliance","keywords":"Mammography; Medicine; Breast cancer; Breast density; Ductal carcinoma; Magnetic resonance imaging; Breast MRI; BRCA mutation; Breast imaging; Breast cancer screening; Radiology; BI-RADS; Gynecology; Cancer; Oncology; Internal medicine","score_opus":0.04458829893259182,"score_gpt":0.3223167917201098,"score_spread":0.277728492787518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085682959","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":[0.95555675,0.0022755526,0.036993455,0.0040626037,0.00010762213,0.0007099712,0.000073149306,0.00009760857,0.00012328108],"genre_scores_gemma":[0.9878801,0.00023280228,0.00965615,0.0012555647,0.00009313106,0.00039818097,0.00014867575,0.000028687029,0.0003066716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845797,0.00012525349,0.00037470442,0.00047055626,0.00008975452,0.0004817432],"domain_scores_gemma":[0.99895734,0.00024465926,0.00021924109,0.00019146086,0.00014561367,0.0002416876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055199384,0.00021121866,0.0004550967,0.00032456056,0.00022281508,0.000009620064,0.000056831763,0.00012046948,0.000039077568],"category_scores_gemma":[0.00006411624,0.00018191895,0.00017617081,0.00047711906,0.00054819003,0.00026328157,0.00002145756,0.00011997491,0.0000016901917],"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":[0.0020095324,0.000102277365,0.84686977,0.00013072227,0.0013049825,0.00002033406,0.00036358795,0.000004749007,0.00026470836,0.00007396382,0.0018096368,0.14704576],"study_design_scores_gemma":[0.002412469,0.00045143874,0.9918013,0.00047208485,0.00024564203,0.0011341635,0.00028759037,0.0005742283,0.00007299465,0.0018279906,0.00049805915,0.00022201803],"about_ca_topic_score_codex":0.000105614665,"about_ca_topic_score_gemma":0.000018771047,"teacher_disagreement_score":0.14682375,"about_ca_system_score_codex":0.000056623165,"about_ca_system_score_gemma":0.00007952407,"threshold_uncertainty_score":0.74184394},"labels":[],"label_agreement":null},{"id":"W2087314737","doi":"10.1158/1055-9965.epi-08-0263","title":"Urinary Lead Exposure and Breast Cancer Risk in a Population-Based Case-Control Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":36,"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 Population and Public Health","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Population; Odds ratio; Quartile; Cancer; Case-control study; Confidence interval; Relative risk; Gynecology; Cancer registry; Risk factor; Internal medicine; Oncology; Environmental health","score_opus":0.0319058642369602,"score_gpt":0.316981593410923,"score_spread":0.28507572917396284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087314737","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":[0.9954194,0.0020644814,0.00055414677,0.00073151034,0.0002244144,0.0008396432,0.00008376499,0.000039521277,0.000043159736],"genre_scores_gemma":[0.99845964,0.0002740098,0.00036558628,0.00034785134,0.00006911798,0.00034484532,0.0000091939,0.00001651154,0.000113270835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961393,0.0020608387,0.0006237636,0.00063636346,0.00012510778,0.00041464847],"domain_scores_gemma":[0.9988283,0.0004589403,0.0003013711,0.00026397256,0.000011188754,0.00013625389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022240174,0.00023064642,0.00046864053,0.00009007667,0.00026258282,0.0000041291432,0.00011096459,0.0001890815,0.00080207735],"category_scores_gemma":[0.00018428612,0.00020780324,0.00010937243,0.00026602592,0.00022920413,0.00022161704,0.000056108704,0.00023335963,0.000019374527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002903928,0.00030281203,0.9710372,0.000009656803,0.00009195941,0.00019353998,0.00012964712,0.001182253,0.000096242584,0.0000015658936,0.00022327098,0.026441438],"study_design_scores_gemma":[0.0018776177,0.0002641688,0.9938158,0.00003197281,0.00009369828,0.0002563559,0.00005164225,0.0029604428,0.000008631691,0.00038275713,0.00004512675,0.00021182135],"about_ca_topic_score_codex":0.034599107,"about_ca_topic_score_gemma":0.019737441,"teacher_disagreement_score":0.026229618,"about_ca_system_score_codex":0.00033702012,"about_ca_system_score_gemma":0.000043903055,"threshold_uncertainty_score":0.9981498},"labels":[],"label_agreement":null},{"id":"W2087670482","doi":"10.1158/1055-9965.epi-05-0848","title":"Reproducibility of Plasma Steroid Hormones, Prolactin, and Insulin-like Growth Factor Levels among Premenopausal Women over a 2- to 3-Year Period","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":129,"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 Cancer Institute","keywords":"Luteal phase; Estrone; Internal medicine; Endocrinology; Estrone sulfate; Follicular phase; Prolactin; Menstrual cycle; Dehydroepiandrosterone sulfate; Hormone; Estrogen; Testosterone (patch); Androstenedione; Chemistry; Androgen; Medicine","score_opus":0.037200104701712304,"score_gpt":0.3137631474001157,"score_spread":0.27656304269840337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087670482","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":[0.992861,0.0029140122,0.00032880064,0.0011343061,0.0004973777,0.0018700372,0.00010054611,0.00010875491,0.00018518488],"genre_scores_gemma":[0.9965061,0.0002446117,0.0016152569,0.00029563828,0.000250689,0.00037761623,0.00008203155,0.000055483135,0.0005726049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948181,0.00069507246,0.0015053806,0.0018756504,0.00028208655,0.00082371855],"domain_scores_gemma":[0.99717414,0.0002705922,0.0007022811,0.0011580073,0.00030393578,0.00039101104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003556545,0.0004646222,0.0012343251,0.00033392897,0.00013102946,0.00001405634,0.00018538773,0.00044316144,0.00017893768],"category_scores_gemma":[0.0018655673,0.00041440735,0.0001948343,0.00045456926,0.00043428247,0.0003412005,0.00017424802,0.00035637707,0.000010121636],"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":[0.0037485734,0.00031125004,0.941118,0.00036174932,0.00046868582,0.0000065237705,0.0006139676,0.0000023183088,0.043279305,0.00006711088,0.0033941409,0.006628362],"study_design_scores_gemma":[0.0027474042,0.0014805627,0.98583984,0.0002011694,0.00018088843,0.000015512682,0.00017283967,0.00006264209,0.0065486566,0.0013537732,0.0010347064,0.0003620003],"about_ca_topic_score_codex":0.0009203916,"about_ca_topic_score_gemma":0.00015288973,"teacher_disagreement_score":0.04472183,"about_ca_system_score_codex":0.00051134353,"about_ca_system_score_gemma":0.00024489203,"threshold_uncertainty_score":0.9998308},"labels":[],"label_agreement":null},{"id":"W2088633528","doi":"10.1158/1055-9965.epi-13-1179","title":"Prospective Examination of Objectively Assessed Physical Activity and Sedentary Time after Breast Cancer Treatment: <i>Sitting</i> on the Crest of the Teachable Moment","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":114,"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; Athabasca University; University of Ottawa; University of Toronto","funders":"","keywords":"Medicine; Overweight; Waist; Breast cancer; Body mass index; Sitting; Physical therapy; Cancer; Obesity; Teachable moment; Internal medicine; Psychology","score_opus":0.021830027420337652,"score_gpt":0.3168402234294546,"score_spread":0.295010196009117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088633528","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":[0.99343085,0.00056641194,0.0001269478,0.0040618475,0.00024099713,0.000930815,0.000088227986,0.000016259779,0.00053761946],"genre_scores_gemma":[0.99817806,0.0001670641,0.00001630347,0.00022839011,0.00017666364,0.0005996066,0.00001033841,0.000016701384,0.0006068907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788606,0.0011123783,0.0002501513,0.000382347,0.00015732643,0.000211722],"domain_scores_gemma":[0.9984259,0.0006585811,0.00042289583,0.0003145844,0.00012396582,0.000054051667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009782444,0.00020043063,0.0005044508,0.000055995806,0.00009263683,0.0000034748282,0.000082201215,0.00010934262,0.00007882581],"category_scores_gemma":[0.00009524414,0.00011548413,0.0002139053,0.00018422942,0.00034748612,0.00007823232,0.000047716676,0.00014485179,0.0000013142849],"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":[0.0027258983,0.0009388327,0.8570962,0.00023288518,0.0011328695,7.079946e-7,0.0018060447,0.000024818257,0.02841119,0.00040018602,0.00044149,0.106788896],"study_design_scores_gemma":[0.0010339691,0.00047292607,0.9810387,0.00045794796,0.00040446038,0.0000044312715,0.00017211716,0.0007551645,0.014864424,0.0005545462,0.0001426426,0.00009868886],"about_ca_topic_score_codex":0.0032462652,"about_ca_topic_score_gemma":0.0008445487,"teacher_disagreement_score":0.1239425,"about_ca_system_score_codex":0.00045019118,"about_ca_system_score_gemma":0.000115767645,"threshold_uncertainty_score":0.49074036},"labels":[],"label_agreement":null},{"id":"W2089346723","doi":"10.1158/1055-9965.epi-14-1009","title":"Tobacco and Alcohol in Relation to Male Breast Cancer: An Analysis of the Male Breast Cancer Pooling Project Consortium","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Male Breast Health Studies","field":"Medicine","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 of Ottawa","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; World Health Organization","keywords":"Breast cancer; Medicine; Cancer; Male breast cancer; Oncology; Pooling; Gynecology; Internal medicine; Demography; Sociology","score_opus":0.053215246831734335,"score_gpt":0.4001984868458502,"score_spread":0.34698324001411585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089346723","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":[0.97619885,0.003756171,0.00031687735,0.01757202,0.00040262038,0.0013461483,0.00023086346,0.000030124771,0.00014631242],"genre_scores_gemma":[0.9950017,0.001672964,0.0005500346,0.0013719061,0.00022795972,0.00065744086,0.00005030456,0.000024194065,0.0004435209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964048,0.0011549193,0.0010340859,0.0007132176,0.00016144197,0.00053151324],"domain_scores_gemma":[0.99807686,0.0003446576,0.0006835771,0.00048214817,0.00023443351,0.00017830548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026654867,0.0002697993,0.0010616,0.00052444637,0.00014819406,0.0000052796204,0.00015158397,0.00024608418,0.00034578753],"category_scores_gemma":[0.0003086586,0.00020885616,0.00021635197,0.0011741276,0.0002760777,0.00014733114,0.00011139551,0.00023925664,0.000001809193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090720097,0.00007611989,0.9608006,0.00021328061,0.000738525,0.00000107498,0.0002378173,0.00071944733,0.0007412387,0.00009522583,0.0008001151,0.034669384],"study_design_scores_gemma":[0.0011149361,0.00007625229,0.988523,0.0007572723,0.0015837699,0.000076999284,0.00018098357,0.007093317,0.000025859432,0.00008258356,0.00030089036,0.00018412695],"about_ca_topic_score_codex":0.028521793,"about_ca_topic_score_gemma":0.02855954,"teacher_disagreement_score":0.034485254,"about_ca_system_score_codex":0.00050999725,"about_ca_system_score_gemma":0.00036313495,"threshold_uncertainty_score":0.98916674},"labels":[],"label_agreement":null},{"id":"W2091407825","doi":"10.1158/1055-9965.epi-10-0674","title":"Nicotine Metabolite Ratio Predicts Smoking Topography and Carcinogen Biomarker Level","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":106,"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 Cancer Institute; National Institute on Drug Abuse; Canadian Institutes of Health Research","keywords":"Cotinine; Nicotine; Quartile; Biomarker; Carcinogen; Metabolite; Chemistry; Medicine; Internal medicine; Physiology; Toxicology; Confidence interval; Biochemistry; Biology","score_opus":0.21892545901802002,"score_gpt":0.38014438929277233,"score_spread":0.16121893027475231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091407825","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":[0.9793777,0.010842347,0.006269243,0.0008949717,0.0010499337,0.00072045176,0.000038313367,0.0001425992,0.00066442747],"genre_scores_gemma":[0.99524516,0.0012517181,0.0019737973,0.00054679095,0.00015960616,0.00020688426,0.00024231891,0.00003346847,0.00034025448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759096,0.00048975804,0.0006869713,0.0006193199,0.00016062876,0.00045236535],"domain_scores_gemma":[0.9987606,0.00014372607,0.00035903804,0.0003818624,0.00013979565,0.00021501584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018775235,0.00027559334,0.0005763024,0.00032630708,0.00014971007,0.000007896397,0.00010119726,0.00034868708,0.00037636526],"category_scores_gemma":[0.00024281174,0.0002445241,0.00024699798,0.0003315196,0.0003040076,0.00020204515,0.00006106414,0.00021014483,0.0000024495666],"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":[0.00034369974,0.00008761258,0.9474255,0.000070307644,0.0005962439,0.0000037644518,0.0002730234,3.124486e-7,0.004329384,0.0004250824,0.0013087826,0.045136295],"study_design_scores_gemma":[0.0016095019,0.00016141693,0.98811775,0.00018831794,0.001136226,0.000042465203,0.00010164046,0.00011670116,0.004811382,0.002270559,0.0012250073,0.00021900794],"about_ca_topic_score_codex":0.00065521774,"about_ca_topic_score_gemma":0.000052779273,"teacher_disagreement_score":0.04491729,"about_ca_system_score_codex":0.000099758065,"about_ca_system_score_gemma":0.00009944955,"threshold_uncertainty_score":0.99714035},"labels":[],"label_agreement":null},{"id":"W2092465912","doi":"10.1158/1055-9965.epi-14-1008","title":"Colorectal Cancer Screening in First Nations People Living in Manitoba","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; BC Cancer Agency; CancerCare Manitoba; Manitoba Health","funders":"Canadian Institutes of Health Research","keywords":"Colonoscopy; Medicine; Residence; Fecal occult blood; Colorectal cancer; Sigmoidoscopy; Demography; Relative risk; Confidence interval; Colorectal cancer screening; Cancer; Rural area; Gerontology; Environmental health; Internal medicine; Pathology","score_opus":0.041479809366421025,"score_gpt":0.33803034850439917,"score_spread":0.29655053913797813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092465912","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":[0.9817297,0.0035563987,0.008593829,0.003461388,0.0008821034,0.00073476793,0.0000056163813,0.00011668835,0.00091952743],"genre_scores_gemma":[0.99547404,0.0010533708,0.0016661887,0.00027082145,0.00031274493,0.0009851962,0.00003205343,0.000029123537,0.00017646693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741614,0.000640463,0.0006972466,0.0005916989,0.0001344917,0.00051998306],"domain_scores_gemma":[0.99769235,0.0016315259,0.0002749834,0.00019568064,0.000079839134,0.00012563918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002300726,0.0002267972,0.0006019204,0.00066306605,0.00017946938,0.000008981484,0.000108727494,0.0002946725,0.00019582859],"category_scores_gemma":[0.0022550647,0.00023575242,0.00017985834,0.0009492659,0.00009569594,0.00016669903,0.00006678711,0.0003640655,0.000009515091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011821706,0.00007406053,0.9586212,0.000110149806,0.00008856228,0.0000024525687,0.00022506998,0.0009022601,0.00022936559,0.000075425065,0.00043546257,0.038053818],"study_design_scores_gemma":[0.0014108884,0.00042602632,0.9755957,0.0018284136,0.000070265225,0.00001701431,0.00020875296,0.018549645,0.00016583696,0.00038577343,0.0011247605,0.00021691031],"about_ca_topic_score_codex":0.019054458,"about_ca_topic_score_gemma":0.5517798,"teacher_disagreement_score":0.53272533,"about_ca_system_score_codex":0.0006624094,"about_ca_system_score_gemma":0.00014415996,"threshold_uncertainty_score":0.9874777},"labels":[],"label_agreement":null},{"id":"W2092650587","doi":"10.1158/1055-9965.epi-07-0319","title":"Insulin-like Growth Factors and Ovarian Cancer Risk: A Nested Case-Control Study in Three Cohorts","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":43,"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 Institute of Environmental Health Sciences","keywords":"Medicine; Nested case-control study; Quartile; Ovarian cancer; Prospective cohort study; Case-control study; Nurses' Health Study; Internal medicine; Relative risk; Oncology; Cancer; Cohort study; Confidence interval; Risk factor; Gynecology; Obstetrics","score_opus":0.04155833328010189,"score_gpt":0.3406898905417121,"score_spread":0.2991315572616102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092650587","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":[0.98014134,0.011799423,0.0028383615,0.0007812177,0.0011967077,0.0029532036,0.000068510824,0.00012953648,0.000091708505],"genre_scores_gemma":[0.99679583,0.0014940404,0.00039718003,0.0005873012,0.00024477375,0.0003074354,0.00004687967,0.00006321082,0.00006335699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994903,0.0011309125,0.0016103031,0.0011018207,0.00023125566,0.0010226599],"domain_scores_gemma":[0.9966706,0.001408366,0.0007404621,0.00049247564,0.00020329503,0.00048482514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00573309,0.0005829476,0.0014667369,0.00066612207,0.00024432718,0.000014023434,0.00015159156,0.000601977,0.00014636657],"category_scores_gemma":[0.0012962534,0.00048399105,0.00026561876,0.0007601168,0.0003066298,0.0002806023,0.0000816569,0.00074034766,0.0000058519295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018136433,0.000423784,0.9767855,0.00007742882,0.0011669424,0.0006068367,0.0005999717,0.0000049349146,0.00022419733,0.000047901685,0.00040033017,0.01784855],"study_design_scores_gemma":[0.007950783,0.0008490283,0.9866615,0.0001959813,0.0010780352,0.00019252625,0.0006993371,0.00037041475,0.00007327937,0.0013669643,0.0001342176,0.00042796315],"about_ca_topic_score_codex":0.024277855,"about_ca_topic_score_gemma":0.035635184,"teacher_disagreement_score":0.017420586,"about_ca_system_score_codex":0.0005397293,"about_ca_system_score_gemma":0.0002507143,"threshold_uncertainty_score":0.99976116},"labels":[],"label_agreement":null},{"id":"W2093293314","doi":"10.1158/1055-9965.epi-06-0092","title":"Genetic Ancestry and Risk Factors for Breast Cancer among Latinas in the San Francisco Bay Area","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; U.S. Department of Defense","keywords":"Genetic genealogy; Breast cancer; Demography; Odds ratio; Ancestry-informative marker; Medicine; Body mass index; Population; Overweight; Logistic regression; Population stratification; Cancer; Gerontology; Internal medicine; Allele; Allele frequency; Genetics; Biology; Genotype; Single-nucleotide polymorphism; Environmental health","score_opus":0.030549692605024967,"score_gpt":0.3280167740363018,"score_spread":0.2974670814312768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093293314","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":[0.9740486,0.016830532,0.0067840377,0.00069584453,0.0004629751,0.00074757304,0.00033897115,0.00001375954,0.00007772031],"genre_scores_gemma":[0.99331516,0.0027135296,0.0019213393,0.00020653094,0.00045414444,0.0010039588,0.00019890105,0.00003019716,0.00015622782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776673,0.0005518319,0.00052336534,0.00064679194,0.00007982693,0.0004314483],"domain_scores_gemma":[0.99885654,0.0002670624,0.0003933521,0.00035528757,0.0000752313,0.00005249468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009738885,0.00025900026,0.00030155902,0.00007623108,0.0001844463,0.000014916614,0.00023319319,0.00033097324,0.000056713652],"category_scores_gemma":[0.00016088689,0.00020510922,0.00013761944,0.0001681608,0.0003781896,0.000014021315,0.000050549468,0.0001534237,5.6441735e-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":[0.000113013586,0.000035467005,0.976712,0.000031478154,0.0001509873,5.446481e-7,0.00007312348,0.0017707495,0.002826356,0.000021050513,0.006467622,0.011797645],"study_design_scores_gemma":[0.0007293671,0.00009020754,0.9915468,0.00005918542,0.00012251527,0.000007983083,0.0001541797,0.0008073801,0.00083741336,0.0023428116,0.003059539,0.00024259364],"about_ca_topic_score_codex":0.0028851354,"about_ca_topic_score_gemma":0.015733778,"teacher_disagreement_score":0.019266585,"about_ca_system_score_codex":0.00013197925,"about_ca_system_score_gemma":0.00016223866,"threshold_uncertainty_score":0.8779818},"labels":[],"label_agreement":null},{"id":"W2093422022","doi":"10.1158/1055-9965.disp-10-b73","title":"Abstract B73: Complementary and alternative medicine and the development of self in chronic diseases: A prospective, multicenter observational survey in the Munshiganj district of Bangladesh","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Psychological Association","funders":"","keywords":"Traditional medicine; Medicinal plants; Medicine; Ocimum gratissimum; Ocimum; Achyranthes aspera; Nigella sativa; Alternative medicine","score_opus":0.1177469686807379,"score_gpt":0.389753310596461,"score_spread":0.2720063419157231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093422022","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":[0.9944146,0.0016914334,0.00009486057,0.0024100975,0.0001527458,0.0011772651,0.000029367064,0.000004075351,0.000025516054],"genre_scores_gemma":[0.998643,0.00048664626,0.00033022687,0.00019958784,0.00006602948,0.00012788482,0.00013691855,0.000005221856,0.0000045225993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982136,0.00059326086,0.00068216515,0.00023139948,0.00013713476,0.00014246693],"domain_scores_gemma":[0.9975976,0.0018055124,0.0003716962,0.00012491977,0.00006093551,0.000039352035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037401484,0.00011482539,0.0003979181,0.000103059065,0.000045561283,0.0000013487736,0.000080375925,0.00005646722,0.00005795861],"category_scores_gemma":[0.0008211012,0.00006199955,0.00003185502,0.00016072771,0.00047102055,0.000052517622,0.000031377658,0.00025236458,1.401873e-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":[0.0015034953,0.000106419844,0.9890739,0.000213991,0.00014545216,0.0000023083282,0.0013627051,0.0000016685648,0.0028638744,0.00019043018,0.000118686716,0.004417092],"study_design_scores_gemma":[0.005141422,0.00014798876,0.9924663,0.0004417362,0.000070912676,0.000005976145,0.00021690971,0.00059054006,0.00014068752,0.00063290226,0.00009507343,0.000049583934],"about_ca_topic_score_codex":0.0025994445,"about_ca_topic_score_gemma":0.010354176,"teacher_disagreement_score":0.0077547315,"about_ca_system_score_codex":0.00008711877,"about_ca_system_score_gemma":0.00012357734,"threshold_uncertainty_score":0.57778734},"labels":[],"label_agreement":null},{"id":"W2094222084","doi":"10.1158/1055-9965.epi-08-0065","title":"Polymorphisms in<i>RAD51, XRCC2</i>, and<i>XRCC3</i>Are Not Related to Breast Cancer Risk","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"York University","funders":"National Cancer Institute","keywords":"XRCC3; Breast cancer; Genotype; Genotyping; Concordance; Medicine; Oncology; Cohort; Internal medicine; Cancer; Gene; Genetics; Biology; Single-nucleotide polymorphism","score_opus":0.02676035925867401,"score_gpt":0.32678228638669043,"score_spread":0.30002192712801645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094222084","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":[0.9685719,0.01934223,0.0008681068,0.009087203,0.0010665515,0.00061739475,0.00028136495,0.00004401173,0.000121217796],"genre_scores_gemma":[0.97844905,0.014796317,0.0019648918,0.002399189,0.00026552356,0.0006835883,0.00013804066,0.000058389247,0.0012450112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967273,0.00075342087,0.0007641439,0.0010317508,0.000119650205,0.00060376915],"domain_scores_gemma":[0.99855095,0.00010634544,0.00047258672,0.0005242404,0.00012637039,0.00021949207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010891096,0.00034337217,0.00049519126,0.00020448904,0.00022366346,0.0000066507564,0.00026524917,0.00048820107,0.0001583561],"category_scores_gemma":[0.0003200867,0.00035487927,0.0001795066,0.00040274695,0.00037711562,0.00001897775,0.00018337209,0.00025880814,0.000021668375],"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":[0.0006025404,0.00007813564,0.919788,0.000021541995,0.00042260767,0.000009867102,0.00017354627,0.00091974647,0.031783216,0.00004302547,0.02293908,0.023218663],"study_design_scores_gemma":[0.0013304976,0.00013410977,0.9808128,0.0001475289,0.0000913713,0.00013203152,0.00005677046,0.00018692618,0.0055903215,0.0007908863,0.010255149,0.00047164678],"about_ca_topic_score_codex":0.0013121737,"about_ca_topic_score_gemma":0.0018974917,"teacher_disagreement_score":0.06102473,"about_ca_system_score_codex":0.00032791588,"about_ca_system_score_gemma":0.00034199012,"threshold_uncertainty_score":0.9998903},"labels":[],"label_agreement":null},{"id":"W2094963640","doi":"10.1158/1055-9965.epi-04-0430","title":"Serum Insulin-Like Growth Factor-I Levels and Prostatic Intraepithelial Neoplasia: A Clue to the Relationship Between IGF-I Physiology and Prostate Cancer Risk","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"University of Toronto; McGill University; University Health Network; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"High-grade prostatic intraepithelial neoplasia; Intraepithelial neoplasia; Prostate cancer; Medicine; Prostate; Prostate biopsy; Rectal examination; Urology; Odds ratio; Internal medicine; Quartile; Risk factor; Biopsy; Prostate-specific antigen; Confidence interval; Cancer","score_opus":0.059335369693348225,"score_gpt":0.34789538811127274,"score_spread":0.2885600184179245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094963640","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":[0.96481645,0.0082331,0.00059487106,0.023282932,0.00048613516,0.0020431464,0.00042296678,0.000096215794,0.000024182344],"genre_scores_gemma":[0.9917344,0.0027388602,0.00149598,0.0022519892,0.0006954559,0.0005632322,0.000094256975,0.000054287106,0.0003715406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99587524,0.0012344759,0.0010380772,0.0009107375,0.00017182984,0.00076966133],"domain_scores_gemma":[0.9964794,0.0019722488,0.0005689932,0.00039355748,0.00017027982,0.00041551565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016221858,0.0004623987,0.00090602605,0.0002567633,0.00044167897,0.000020152707,0.00016754381,0.00044604242,0.00006662102],"category_scores_gemma":[0.0019924515,0.00033456867,0.00016001267,0.0004238892,0.00047408813,0.00029402017,0.000152291,0.0007167738,0.000031192536],"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":[0.0005951283,0.000044944645,0.9460324,0.00016754342,0.00046550523,0.000001914341,0.0012666212,0.000011884225,0.00071471045,0.00014791517,0.0024747064,0.048076693],"study_design_scores_gemma":[0.0021929548,0.00053613726,0.98706305,0.00024535938,0.00050605636,0.000022410453,0.00012824943,0.00019322406,0.00038504915,0.0049959393,0.0033971188,0.0003344743],"about_ca_topic_score_codex":0.0007630014,"about_ca_topic_score_gemma":0.00066188903,"teacher_disagreement_score":0.047742218,"about_ca_system_score_codex":0.0002797905,"about_ca_system_score_gemma":0.0002970856,"threshold_uncertainty_score":0.99991065},"labels":[],"label_agreement":null},{"id":"W2096421312","doi":"10.1158/1055-9965.epi-12-0947","title":"Non-Hodgkin Lymphoma and Circulating Markers of Inflammation and Adiposity in a Nested Case–Control Study: The Multiethnic Cohort","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":47,"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 Health Services","funders":"National Cancer Institute","keywords":"Medicine; Adipokine; Adiponectin; Internal medicine; Leptin; Body mass index; Nested case-control study; Cohort; Phlebotomy; Follicular lymphoma; Immunology; Oncology; Lymphoma; Obesity; Insulin resistance","score_opus":0.02819125749750843,"score_gpt":0.33154236134077175,"score_spread":0.3033511038432633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096421312","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":[0.9893141,0.0040878826,0.00025512927,0.0011450844,0.00017221681,0.00493274,0.000007958315,0.00003834771,0.000046560293],"genre_scores_gemma":[0.99752,0.0001932896,0.00072819507,0.0001522253,0.00006285318,0.0012833459,0.000014282696,0.000025657018,0.000020092313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961744,0.001593874,0.0011147851,0.0005696185,0.00014893858,0.00039838004],"domain_scores_gemma":[0.99753505,0.001098446,0.00063263834,0.0004037542,0.00017029936,0.00015981785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004635138,0.0002823188,0.0007282607,0.00024177978,0.0001560528,0.000012779111,0.00009827618,0.000265146,0.00006375107],"category_scores_gemma":[0.0009300503,0.00022487473,0.00013569287,0.00030313886,0.00047588637,0.00022974481,0.00009416174,0.00016069616,0.0000023895693],"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":[0.0007310432,0.00009889635,0.8902997,0.00020631445,0.0012958894,0.00005570082,0.00033224403,0.000010577596,0.0022343567,0.000006198764,0.00012124199,0.10460784],"study_design_scores_gemma":[0.0045239218,0.00025977095,0.9736614,0.00035113026,0.00097014126,0.00025635073,0.00077346124,0.01854835,0.00010087444,0.00036098043,0.0000075455846,0.0001860718],"about_ca_topic_score_codex":0.0021201463,"about_ca_topic_score_gemma":0.0009818886,"teacher_disagreement_score":0.10442177,"about_ca_system_score_codex":0.00022152992,"about_ca_system_score_gemma":0.00012089223,"threshold_uncertainty_score":0.9170126},"labels":[],"label_agreement":null},{"id":"W2096818426","doi":"10.1158/1055-9965.epi-14-0885","title":"Telomere Length and Mortality Following a Diagnosis of Ovarian Cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","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":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Telomere; Ovarian cancer; Quartile; Hazard ratio; Oncology; Internal medicine; Medicine; Proportional hazards model; Cancer; Population; Confidence interval; Biology; Genetics; DNA","score_opus":0.0636645148383993,"score_gpt":0.38691197440986036,"score_spread":0.32324745957146106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096818426","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":[0.97701395,0.017009227,0.0011069569,0.0030985218,0.0008445403,0.00053234573,0.00002177702,0.000068817135,0.00030388063],"genre_scores_gemma":[0.99115765,0.00523586,0.0019427633,0.0008088561,0.00023695157,0.00033640445,0.00003930892,0.000027342225,0.00021487367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973447,0.00065428775,0.00078504503,0.00061053067,0.00015521643,0.0004502736],"domain_scores_gemma":[0.99819326,0.00064405764,0.00042831458,0.00042013082,0.00008552042,0.00022870525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020780708,0.0002598053,0.00094570837,0.00016192943,0.00011104736,0.0000046759696,0.000117287505,0.0002790859,0.00021642535],"category_scores_gemma":[0.0010110382,0.00022985446,0.00031387148,0.00026211576,0.00030290152,0.00013227893,0.00006057137,0.0001948293,0.000003853116],"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":[0.00015545975,0.000080212885,0.88502914,0.0002589436,0.0007641806,0.000004054073,0.00009965876,0.0000036247725,0.0018327106,0.00042509657,0.00142496,0.10992195],"study_design_scores_gemma":[0.0015303019,0.00019405335,0.9878603,0.0007827479,0.0007002849,0.000007988839,0.00007068449,0.00043149327,0.001781826,0.0028342234,0.0035784116,0.00022766071],"about_ca_topic_score_codex":0.0029054033,"about_ca_topic_score_gemma":0.00086624693,"teacher_disagreement_score":0.10969429,"about_ca_system_score_codex":0.00012214831,"about_ca_system_score_gemma":0.0001457637,"threshold_uncertainty_score":0.9373193},"labels":[],"label_agreement":null},{"id":"W2097037017","doi":"10.1158/1055-9965.epi-08-1090","title":"Performance of Prediction Models for BRCA Mutation Carriage in Three Racial/Ethnic Groups: Findings from the Northern California Breast Cancer Family Registry","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institutes of Health","keywords":"Ethnic group; Breast cancer; Confidence interval; Medicine; Demography; Carriage; Population; Cancer; Oncology; Internal medicine; Pathology; Environmental health","score_opus":0.036739539791406546,"score_gpt":0.32452290265175016,"score_spread":0.2877833628603436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097037017","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":[0.9623753,0.0139857065,0.018759694,0.0018720189,0.0006200526,0.0009064478,0.0014279875,0.000020635658,0.0000321972],"genre_scores_gemma":[0.993521,0.0026172136,0.0010211775,0.0005055507,0.00043668266,0.0006851604,0.001141315,0.000028787374,0.000043156648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779624,0.0002941617,0.000781164,0.0006285379,0.00012292105,0.00037699315],"domain_scores_gemma":[0.9986215,0.00015440567,0.0005033265,0.00046229822,0.00020274268,0.00005569684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012203627,0.00024986683,0.00036206635,0.00007640239,0.00013605841,0.0000066837624,0.0003213606,0.00041270806,0.000016594711],"category_scores_gemma":[0.00015701435,0.00021988622,0.0002118113,0.0002354062,0.00020336616,0.00003395186,0.000043754833,0.00016251317,0.0000013900269],"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":[0.0029025858,0.00014601546,0.69627374,0.00010852095,0.00066656515,9.657551e-7,0.0005343458,0.043741673,0.10284054,0.00008768082,0.006403146,0.14629419],"study_design_scores_gemma":[0.0017533317,0.00028466928,0.9539337,0.00029203354,0.00019366879,0.0000062977433,0.00016114845,0.030024936,0.002969196,0.009606215,0.00048256238,0.00029223622],"about_ca_topic_score_codex":0.0009258444,"about_ca_topic_score_gemma":0.008406312,"teacher_disagreement_score":0.25765994,"about_ca_system_score_codex":0.00037726254,"about_ca_system_score_gemma":0.00038683577,"threshold_uncertainty_score":0.89667},"labels":[],"label_agreement":null},{"id":"W2097048367","doi":"10.1158/1055-9965.340.13.3","title":"The Role of Tomato Products and Lycopene in the Prevention of Prostate Cancer: A Meta-Analysis of Observational Studies","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":425,"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; Royal Victoria Hospital","funders":"","keywords":"Medicine; Prostate cancer; Lycopene; Confidence interval; Relative risk; Cohort study; Quartile; Poisson regression; Cancer prevention; Cancer; Cohort; Internal medicine; Environmental health; Oncology; Food science; Carotenoid; Population; Biology","score_opus":0.2278269465449106,"score_gpt":0.44296490334291605,"score_spread":0.21513795679800546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097048367","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":[0.88246614,0.10836825,0.00009922392,0.00811828,0.00004661936,0.0008242039,0.00004520854,0.000004560162,0.000027546797],"genre_scores_gemma":[0.99021536,0.008506806,0.0007095323,0.00007116994,0.000017458327,0.00031076593,0.00004231266,0.0000055671853,0.000121031015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977084,0.0008612855,0.00081858493,0.0002781008,0.00016616772,0.00016749512],"domain_scores_gemma":[0.9975949,0.0008310762,0.0009829222,0.00025624008,0.00031425722,0.000020604068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032383201,0.00013631546,0.0011035115,0.00015856176,0.000069679416,0.0000018209311,0.00011145341,0.00007398823,0.000017375965],"category_scores_gemma":[0.00085599,0.00007621158,0.00039230342,0.00075863785,0.00057490886,0.00012755013,0.000044580112,0.00009719421,1.2080424e-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":[0.0015633007,0.00048518073,0.8173775,0.0006332559,0.1331992,0.0000013141909,0.0022546942,0.00091049075,0.019652257,0.008614026,0.0001757456,0.015133059],"study_design_scores_gemma":[0.0008678237,0.00026879497,0.91503024,0.0002287197,0.04229352,0.0000025387487,0.0016358022,0.00014323609,0.020585177,0.018659504,0.0001957872,0.00008886476],"about_ca_topic_score_codex":0.00070054317,"about_ca_topic_score_gemma":0.0024009757,"teacher_disagreement_score":0.107749246,"about_ca_system_score_codex":0.000062377156,"about_ca_system_score_gemma":0.00018728741,"threshold_uncertainty_score":0.3107818},"labels":[],"label_agreement":null},{"id":"W2097394922","doi":"10.1158/1055-9965.epi-14-0292","title":"Characterization of Transfusion-Derived Iron Deposition in Childhood Cancer Survivors","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":41,"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":"National Center for Advancing Translational Sciences; Sigma Theta Tau International","keywords":"Medicine; Pancreatic cancer; Cohort; Internal medicine; Cancer; Gastroenterology; Liver cancer","score_opus":0.015223772277357677,"score_gpt":0.29687867942912455,"score_spread":0.2816549071517669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097394922","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":[0.98562455,0.0022411465,0.0066042375,0.0039938246,0.0006038025,0.00069522625,0.000012953758,0.000042938627,0.00018134632],"genre_scores_gemma":[0.9882565,0.010192115,0.0003682186,0.000492707,0.00009195377,0.00015899322,0.00033479818,0.000024404133,0.00008029047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978229,0.0006415638,0.00074233965,0.00038282873,0.000098431316,0.00031197388],"domain_scores_gemma":[0.9991697,0.00012138011,0.00034219644,0.00020130356,0.00006936953,0.00009605699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010032884,0.00018448893,0.0005577369,0.00020640422,0.000059258924,0.0000020107836,0.000069089845,0.00038104696,0.00019677503],"category_scores_gemma":[0.00016357454,0.00016460221,0.00017807266,0.0002998071,0.00013798663,0.000100278725,0.000016161976,0.00019882928,0.0000042618767],"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":[0.00051027467,0.000291153,0.47298178,0.00026952132,0.00017503594,0.0000015212073,0.00038356878,0.00009666877,0.3992186,0.00008969908,0.000058404203,0.12592378],"study_design_scores_gemma":[0.00228615,0.00025785965,0.9804921,0.0010134876,0.00020623973,0.000007585318,0.000081656064,0.001818317,0.012894427,0.00049478415,0.00026589612,0.0001814922],"about_ca_topic_score_codex":0.0026432262,"about_ca_topic_score_gemma":0.0020512883,"teacher_disagreement_score":0.50751036,"about_ca_system_score_codex":0.00013614714,"about_ca_system_score_gemma":0.000104590916,"threshold_uncertainty_score":0.67122835},"labels":[],"label_agreement":null},{"id":"W2097591523","doi":"10.1158/1055-9965.epi-09-1023","title":"Assessment of Automated Image Analysis of Breast Cancer Tissue Microarrays for Epidemiologic Studies","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":64,"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 Cancer Institute; National Institutes of Health; Cancer Research UK","keywords":"Tissue microarray; Breast cancer; Medicine; DNA microarray; Pathology; Cancer; Oncology; Computational biology; Internal medicine; Biology; Genetics; Gene expression; Gene","score_opus":0.12960050648887747,"score_gpt":0.5566568023448623,"score_spread":0.4270562958559848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097591523","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":[0.9424465,0.021211633,0.011816785,0.016776403,0.0021088459,0.0035181665,0.0015089256,0.00028436308,0.00032839103],"genre_scores_gemma":[0.93842125,0.006332562,0.052141443,0.00041596804,0.00025218044,0.0016201846,0.00036418386,0.00004952372,0.00040269998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953892,0.0010783087,0.0017858178,0.0008101429,0.00023307119,0.00070343283],"domain_scores_gemma":[0.9939308,0.0026792053,0.0013114477,0.0007336014,0.0011379811,0.00020696307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00798572,0.00033737146,0.0024461276,0.0007248297,0.00009970207,0.0000032142495,0.0003035212,0.0004547952,0.0008635874],"category_scores_gemma":[0.002609215,0.0002735168,0.0007455953,0.0011548953,0.0011638292,0.00009749388,0.00011910776,0.00040966284,0.000002298075],"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":[0.00044914888,0.00020391631,0.58828336,0.0010646756,0.011434224,0.0000025651907,0.00006479429,0.00014204433,0.36461335,0.00041328053,0.016411899,0.01691675],"study_design_scores_gemma":[0.0014695721,0.0004944147,0.9664069,0.00049632567,0.0046699774,0.000011162969,0.00014450363,0.015049383,0.008432455,0.0010654427,0.001515915,0.00024396961],"about_ca_topic_score_codex":0.0015106444,"about_ca_topic_score_gemma":0.0014489136,"teacher_disagreement_score":0.37812355,"about_ca_system_score_codex":0.00035887517,"about_ca_system_score_gemma":0.0007170114,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W2097856118","doi":"10.1158/1055-9965.epi-05-0097","title":"Etiologic and Other Factors Predicting Nevus-Associated Cutaneous Malignant Melanoma","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":81,"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; Lunenfeld-Tanenbaum Research Institute; Health Sciences Centre; Mount Sinai Hospital; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"National Cancer Institute; University of Sydney; Purdue University","keywords":"Melanoma; Medicine; Lentigo maligna melanoma; Sunburn; Dermatology; Nevus; Odds ratio; Superficial spreading melanoma; Confidence interval; Lentigo; Trunk; Melanocytic nevus; Pathology; Internal medicine; Biology; Cancer research","score_opus":0.05325124761324484,"score_gpt":0.3351575764190949,"score_spread":0.28190632880585004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097856118","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":[0.9881677,0.0038287395,0.0007554081,0.003913045,0.0006334874,0.00077985827,0.000019704497,0.00027116342,0.0016309102],"genre_scores_gemma":[0.992237,0.00065335556,0.00089001993,0.0019641924,0.0002482269,0.00009045597,0.00006114627,0.000032597527,0.0038230356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977403,0.00049635815,0.0006275146,0.000551559,0.000106456304,0.00047777256],"domain_scores_gemma":[0.99876595,0.00035717158,0.00038703377,0.000247443,0.00005302867,0.00018939207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094701146,0.0002635382,0.0005602303,0.00017095766,0.00017075505,0.000009261154,0.00008039024,0.0003215691,0.00061589625],"category_scores_gemma":[0.00055321766,0.00021625267,0.00018691675,0.00014885695,0.00017111316,0.00006223011,0.00006800513,0.00021464628,0.000030821437],"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":[0.00045001568,0.00016315501,0.92825395,0.000070474875,0.0010891911,0.000038443024,0.00019895748,0.000048209095,0.002971597,0.00025660673,0.0050356495,0.06142378],"study_design_scores_gemma":[0.0038736956,0.0020348146,0.8365156,0.00081755826,0.0013798971,0.0011908808,0.00090173876,0.007970612,0.0013727918,0.0025023874,0.1405866,0.00085340353],"about_ca_topic_score_codex":0.00030084004,"about_ca_topic_score_gemma":0.00055669993,"teacher_disagreement_score":0.13555095,"about_ca_system_score_codex":0.000356256,"about_ca_system_score_gemma":0.000048954065,"threshold_uncertainty_score":0.8818528},"labels":[],"label_agreement":null},{"id":"W2098553570","doi":"10.1158/1055-9965.epi-13-0635-t","title":"Lymphocyte Telomere Length Is Long in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers Regardless of Cancer-Affected Status","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":23,"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; National Institute for Health and Care Research; Cancer Research UK","keywords":"Telomere; Ovarian cancer; Mutation; Cancer; Germline mutation; Genetics; BRCA mutation; Biology; Breast cancer; Cancer research; DNA; Gene","score_opus":0.02768064590126612,"score_gpt":0.3489422781192368,"score_spread":0.32126163221797066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098553570","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":[0.9607385,0.03477647,0.000897851,0.0017377298,0.0006608152,0.00085188437,0.000052285654,0.00007620471,0.00020829284],"genre_scores_gemma":[0.98453426,0.012520629,0.0009456992,0.0012341228,0.00014615116,0.00020458626,0.00012995783,0.00004534194,0.00023925699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961964,0.0009531075,0.0010611957,0.00083508424,0.00021583098,0.000738383],"domain_scores_gemma":[0.9978012,0.00055275334,0.0006842534,0.00045467922,0.00019059631,0.00031650887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016714882,0.00036912665,0.0011236701,0.00037380643,0.0001011725,0.0000076132605,0.00013479192,0.0004071258,0.00011287365],"category_scores_gemma":[0.0007877666,0.0003505346,0.0001944265,0.00057214504,0.00052858895,0.00019182084,0.00005779424,0.00026914902,0.0000041233707],"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":[0.00091168616,0.00009081131,0.7472346,0.0006165199,0.00043365176,0.000012695249,0.00059101795,0.000042070023,0.006288333,0.00010544853,0.0013723602,0.24230082],"study_design_scores_gemma":[0.00555958,0.00038878233,0.97637266,0.0013736365,0.00039015178,0.000033721906,0.00031524265,0.0020643948,0.00953815,0.0009026369,0.0026646396,0.0003964133],"about_ca_topic_score_codex":0.0054862923,"about_ca_topic_score_gemma":0.0037315427,"teacher_disagreement_score":0.24190442,"about_ca_system_score_codex":0.00057450787,"about_ca_system_score_gemma":0.00044437114,"threshold_uncertainty_score":0.9998947},"labels":[],"label_agreement":null},{"id":"W2098589489","doi":"10.1158/1055-9965.epi-09-1097","title":"Use of Folic Acid–Containing Supplements after a Diagnosis of Colorectal Cancer in the Colon Cancer Family Registry","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":19,"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 Diabetes and Digestive and Kidney Diseases; National Cancer Institute; U.S. Public Health Service","keywords":"Medicine; Colorectal cancer; Odds ratio; Internal medicine; Cancer; Logistic regression; Confidence interval; Gastroenterology; Oncology; Gynecology","score_opus":0.09072128455668052,"score_gpt":0.4210997712976876,"score_spread":0.3303784867410071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098589489","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":[0.98755354,0.007338,0.000020369203,0.0033186355,0.00046687174,0.0010204714,0.00021079843,0.000011124581,0.000060209146],"genre_scores_gemma":[0.9900973,0.005952512,0.00041978064,0.00053661334,0.00010494527,0.002678239,0.00006935218,0.000021493455,0.00011976072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973535,0.00066713785,0.00082428264,0.00041704063,0.00023081912,0.00050720444],"domain_scores_gemma":[0.99808145,0.0008022941,0.00045686928,0.00037854927,0.000185355,0.00009548119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020192517,0.00020535538,0.00067647285,0.00022866236,0.00004991188,0.0000056001236,0.00022427324,0.00033622666,0.00059189135],"category_scores_gemma":[0.00071346795,0.00015091326,0.00023737132,0.00041593701,0.00045088134,0.0001446659,0.00008282962,0.00047948177,0.000001943522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022056333,0.00018101398,0.9052159,0.00017935829,0.0004749706,0.000014106089,0.00033288685,0.0000053326476,0.06876922,0.000044494904,0.004433807,0.018143276],"study_design_scores_gemma":[0.0015401113,0.0004986362,0.98389435,0.00062195223,0.00025327763,0.0000063820194,0.00024946063,0.00016508116,0.009661332,0.0002606897,0.0027151443,0.00013356442],"about_ca_topic_score_codex":0.01720552,"about_ca_topic_score_gemma":0.02725722,"teacher_disagreement_score":0.07867847,"about_ca_system_score_codex":0.00019000433,"about_ca_system_score_gemma":0.00043552648,"threshold_uncertainty_score":0.9904928},"labels":[],"label_agreement":null},{"id":"W2098901841","doi":"10.1158/1055-9965.epi-09-1229","title":"Urinary 6-Sulphatoxymelatonin Levels and Risk of Breast Cancer in Premenopausal Women: The ORDET Cohort","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":69,"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":"National Cancer Institute; U.S. Department of Defense","keywords":"Medicine; Breast cancer; Odds ratio; Internal medicine; Confidence interval; Gynecology; Cancer; Quartile; Prospective cohort study; Oncology; Case-control study; Urine; Subclinical infection; Obstetrics","score_opus":0.03146361373006902,"score_gpt":0.3277512023977021,"score_spread":0.2962875886676331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098901841","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":[0.99195576,0.0037394804,0.00007253375,0.0020564906,0.0010301751,0.00070068013,0.00024816018,0.000034457942,0.0001622382],"genre_scores_gemma":[0.99494404,0.0036091667,0.00010719876,0.00035350825,0.00013019958,0.00051692175,0.0000031547515,0.00002430132,0.0003114896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966436,0.0012331535,0.0006906204,0.00069354445,0.00013486555,0.00060418923],"domain_scores_gemma":[0.9978041,0.0010111679,0.00055862794,0.00042744755,0.0000431053,0.00015553892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032324456,0.00024365576,0.0004972051,0.00015139434,0.00016721069,0.0000092767705,0.0002701413,0.00026886107,0.00061992876],"category_scores_gemma":[0.0007420663,0.00018748232,0.00008544346,0.0003665716,0.00082509924,0.00021290607,0.000120807395,0.0005571002,0.000007415371],"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":[0.00022451078,0.0000830232,0.9190504,0.00003502621,0.000098926874,0.000005872234,0.0002997473,0.000030425736,0.06133758,0.0020719103,0.00031841293,0.01644419],"study_design_scores_gemma":[0.0007921123,0.0000886191,0.98286,0.00009087961,0.000069150774,0.000104570456,0.000054338652,0.0004903747,0.010654938,0.0032912795,0.0013053454,0.00019835144],"about_ca_topic_score_codex":0.0005710858,"about_ca_topic_score_gemma":0.00050485,"teacher_disagreement_score":0.06380966,"about_ca_system_score_codex":0.0001358385,"about_ca_system_score_gemma":0.00021095652,"threshold_uncertainty_score":0.7645307},"labels":[],"label_agreement":null},{"id":"W2100385616","doi":"10.1158/1055-9965.epi-08-0875","title":"CpG Island Tumor Suppressor Promoter Methylation in Non-BRCA-Associated Early Mammary Carcinogenesis","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"CpG site; Suppressor; Carcinogenesis; Methylation; DNA methylation; Cancer research; Biology; Tumor suppressor gene; Cancer; Genetics; Gene; Gene expression","score_opus":0.02453237871002979,"score_gpt":0.32328122403954035,"score_spread":0.29874884532951057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100385616","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":[0.97214997,0.008430904,0.016898613,0.0012108422,0.0003537786,0.00062047,0.000026312602,0.000023060442,0.00028602802],"genre_scores_gemma":[0.9964905,0.0007289923,0.0012271934,0.00033021587,0.00016957201,0.0001768745,0.0004892026,0.000024231289,0.0003632307],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99711883,0.00088490546,0.0006966797,0.0006951084,0.00011052875,0.0004939452],"domain_scores_gemma":[0.99888396,0.00008250795,0.00040243464,0.00040687845,0.000118054144,0.00010613812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018000248,0.00027232894,0.00041653117,0.00017043065,0.000087681256,0.000015575986,0.00022479251,0.00042459325,0.000035184232],"category_scores_gemma":[0.00043385962,0.00027450905,0.00020946421,0.00023351745,0.00006809952,0.000023119208,0.000060705002,0.00014204187,0.0000057737398],"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":[0.0002890983,0.000167524,0.37233466,0.00002435464,0.00021527545,0.0000058960645,0.00007323476,0.00026009107,0.6031625,0.00006484304,0.0010870325,0.022315439],"study_design_scores_gemma":[0.0011986211,0.0005071107,0.88024044,0.00007267787,0.00006526441,0.0000015734528,0.000008436488,0.0009575032,0.107106894,0.008765121,0.00075026706,0.00032610339],"about_ca_topic_score_codex":0.0002500545,"about_ca_topic_score_gemma":0.00066666486,"teacher_disagreement_score":0.5079058,"about_ca_system_score_codex":0.00010856634,"about_ca_system_score_gemma":0.000103851875,"threshold_uncertainty_score":0.99997073},"labels":[],"label_agreement":null},{"id":"W2100475177","doi":"10.1158/1055-9965.epi-06-0307","title":"Racial/Ethnic Differences in Postmenopausal Endogenous Hormones: The Multiethnic Cohort Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":83,"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":"National Cancer Institute; Ministerio de Economía y Competitividad","keywords":"Ethnic group; Hormone; Cohort; Medicine; Endogeny; Demography; Cohort study; Gerontology; Internal medicine; Sociology; Anthropology","score_opus":0.11628501306386275,"score_gpt":0.3860558917402885,"score_spread":0.26977087867642574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100475177","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":[0.9634156,0.031013329,0.00019084447,0.0014373754,0.0008044996,0.0027431697,0.000013097722,0.00007440313,0.00030766288],"genre_scores_gemma":[0.99553055,0.0021486436,0.00008525685,0.00032858836,0.00034459154,0.0009385617,0.00008184514,0.000028866833,0.00051311497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964584,0.0011361168,0.0009517954,0.000657842,0.00020092237,0.0005948942],"domain_scores_gemma":[0.9983145,0.0006448764,0.00039447422,0.0004795137,0.0000708913,0.00009575139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025712627,0.00031041692,0.00086583436,0.00018336553,0.00015039489,0.0000076140936,0.00020304207,0.00023794494,0.00016442001],"category_scores_gemma":[0.00023519975,0.00020856614,0.00021145609,0.0004219386,0.00031409317,0.00008682157,0.000066077504,0.00037707703,0.000018144256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058185216,0.00051589345,0.9783822,0.000023378081,0.00038503998,0.000022340917,0.00035990594,0.000012758929,0.0015525412,0.0000312597,0.0010535951,0.017079258],"study_design_scores_gemma":[0.0020576147,0.0009279263,0.99400264,0.000087737164,0.000416239,0.00002103891,0.0005266433,0.00012659038,0.000047167367,0.001201758,0.0003770667,0.00020759994],"about_ca_topic_score_codex":0.016062146,"about_ca_topic_score_gemma":0.017582191,"teacher_disagreement_score":0.03211491,"about_ca_system_score_codex":0.00044888564,"about_ca_system_score_gemma":0.00019125445,"threshold_uncertainty_score":0.99048996},"labels":[],"label_agreement":null},{"id":"W2100583514","doi":"10.1158/1055-9965.epi-10-0211","title":"Urinary Biomarkers of Oxidative Status in a Clinical Model of Oxidative Assault","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":68,"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 Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Down Syndrome Research Foundation; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Allantoin; Medicine; Urinary system; Urine; Biomarker; Internal medicine; Oxidative phosphorylation; Oncology; Chemistry; Biochemistry","score_opus":0.10302586477874542,"score_gpt":0.4350306100593809,"score_spread":0.33200474528063545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100583514","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":[0.98302454,0.001155821,0.012207256,0.0010185956,0.0004954715,0.0008897019,0.00015069656,0.000032219858,0.001025676],"genre_scores_gemma":[0.9679028,0.0014391087,0.029912008,0.00013605061,0.000080337864,0.00009411288,0.00015292192,0.000027784306,0.0002549022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952831,0.0014181698,0.0017890035,0.0007141333,0.00022963881,0.0005659035],"domain_scores_gemma":[0.9957979,0.0016600379,0.001444814,0.0005068637,0.0003654503,0.00022497958],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044760606,0.0003182338,0.0014057013,0.000419151,0.00005074383,0.000001955503,0.00020154401,0.0007017762,0.0002132223],"category_scores_gemma":[0.0030681002,0.00028806954,0.0005069484,0.00046315405,0.0015202306,0.00028371587,0.0001238097,0.00083493104,0.0000050658678],"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":[0.0040873685,0.0012305895,0.82929254,0.00024313202,0.0012084553,0.000008984749,0.0002242018,0.00006754185,0.1358977,0.0014954057,0.00094380893,0.025300302],"study_design_scores_gemma":[0.0041025593,0.0010662486,0.95492786,0.0007630027,0.00035775176,0.000011339859,0.00042109986,0.007948392,0.021719037,0.008222631,0.00015672181,0.00030337856],"about_ca_topic_score_codex":0.00065309287,"about_ca_topic_score_gemma":0.0006532226,"teacher_disagreement_score":0.12563533,"about_ca_system_score_codex":0.0001170668,"about_ca_system_score_gemma":0.00062195,"threshold_uncertainty_score":0.99995714},"labels":[],"label_agreement":null},{"id":"W2100631939","doi":"10.1158/1055-9965.epi-07-2777","title":"Polycyclic Aromatic Hydrocarbon Exposure, Urinary Mutagenicity, and DNA Adducts in Rubber Manufacturing Workers","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"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 Nursing Research; National Cancer Institute; Institute of Genetics; U.S. Public Health Service; European Commission","keywords":"Carcinogen; Urinary system; DNA adduct; Urine; Adduct; Curing (chemistry); Urothelial Cell; Chemistry; DNA; Peripheral blood mononuclear cell; Natural rubber; Toxicology; Molecular biology; Biochemistry; Medicine; Internal medicine; Biology; Organic chemistry; Urothelium; In vitro; Polymer chemistry","score_opus":0.036494894849063965,"score_gpt":0.3136366723454811,"score_spread":0.2771417774964171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100631939","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":[0.98517007,0.012919843,0.00035151868,0.0005706066,0.00030783407,0.0004254872,0.000005465194,0.00002109171,0.000228066],"genre_scores_gemma":[0.99574333,0.0019827245,0.00096135086,0.00036372995,0.00016750532,0.00015116562,0.000115028284,0.000028676588,0.00048650353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976629,0.0004966568,0.00056066015,0.0006831926,0.00009436133,0.0005022318],"domain_scores_gemma":[0.99918234,0.00007371792,0.00022811026,0.00036919335,0.0000065244712,0.00014010984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007541374,0.00028055816,0.00040382432,0.00014159652,0.00013357021,0.0000060408197,0.0001567402,0.00032673564,0.000018571764],"category_scores_gemma":[0.000074970325,0.00028547668,0.00016684407,0.00009217088,0.00024643564,0.000013203457,0.00015549149,0.0001727509,0.0000052353303],"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":[0.00043610507,0.00019813843,0.8296091,0.00006246908,0.00038926207,0.000050428807,0.000105057596,0.00007162815,0.1588444,0.000009219394,0.0014719039,0.008752281],"study_design_scores_gemma":[0.0012799195,0.00040600967,0.94019896,0.000098129894,0.00006565453,0.00018766787,0.00009254825,0.00011370834,0.05442678,0.0013165014,0.0014173278,0.00039681984],"about_ca_topic_score_codex":0.0003734395,"about_ca_topic_score_gemma":0.00045529424,"teacher_disagreement_score":0.11058983,"about_ca_system_score_codex":0.00009432926,"about_ca_system_score_gemma":0.00010651348,"threshold_uncertainty_score":0.99995977},"labels":[],"label_agreement":null},{"id":"W2100680183","doi":"10.1158/1055-9965.epi-06-0470","title":"Effects of Parity on Pregnancy Hormonal Profiles Across Ethnic Groups with a Diverse Incidence of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Center for Research Resources; National Cancer Institute","keywords":"Pregnancy; Medicine; Breast cancer; Prolactin; Obstetrics; Human chorionic gonadotropin; Gynecology; Hormone; Gestational age; Cancer; Endocrinology; Internal medicine; Biology","score_opus":0.036674450487595184,"score_gpt":0.37422212576958674,"score_spread":0.3375476752819916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100680183","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":[0.9760571,0.02102213,0.0006598273,0.000562714,0.00030542794,0.0010923328,0.00020445624,0.000037812275,0.000058215148],"genre_scores_gemma":[0.99569285,0.0030296703,0.0003869997,0.00009571983,0.00014829116,0.00040249332,0.00006549643,0.000024277891,0.00015419596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977793,0.00033663784,0.0006808445,0.00052027125,0.00022587944,0.0004570517],"domain_scores_gemma":[0.99812555,0.0004493343,0.00081958406,0.00030768462,0.00018747694,0.00011038282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006164576,0.00027374414,0.000853562,0.00010242979,0.00007324909,0.000002097035,0.00013471131,0.0002638282,0.000115695795],"category_scores_gemma":[0.00011052059,0.00020633943,0.00026014767,0.0003327962,0.0006171555,0.00012260863,0.000061606406,0.00024340235,0.000002034947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033292992,0.0003906453,0.92765415,0.0011567073,0.00050859543,0.000014468653,0.00014580898,0.000085263644,0.010373705,0.00020223825,0.0012728766,0.054866243],"study_design_scores_gemma":[0.0024268238,0.0007268713,0.9832905,0.004467366,0.00040132343,0.000017496466,0.000057955433,0.000093837756,0.007576854,0.0007126663,0.00003942416,0.0001889177],"about_ca_topic_score_codex":0.011012698,"about_ca_topic_score_gemma":0.0027483688,"teacher_disagreement_score":0.055636313,"about_ca_system_score_codex":0.00029315837,"about_ca_system_score_gemma":0.00024752493,"threshold_uncertainty_score":0.99557304},"labels":[],"label_agreement":null},{"id":"W2100693338","doi":"10.1158/1055-9965.epi-06-0566","title":"Epistatic Relationship between the Cancer Susceptibility Genes <i>CHEK2</i> and <i>p27</i>","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Coalition for Research in Women's Health; University of Toronto","funders":"","keywords":"CHEK2; Missense mutation; Genotype; Prostate cancer; Allele; Odds ratio; Colorectal cancer; Genetics; Epistasis; Cancer; Oncology; Biology; Gene; Internal medicine; Cancer research; Medicine; Mutation","score_opus":0.06685577771171652,"score_gpt":0.3889438370856789,"score_spread":0.3220880593739624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100693338","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":[0.9066813,0.053193916,0.03251,0.005758184,0.00080965424,0.0006995757,0.00007894939,0.000037682763,0.00023071321],"genre_scores_gemma":[0.9915384,0.0021276602,0.0033695537,0.0011588242,0.00070290524,0.00026472067,0.0002277996,0.000034919485,0.0005752224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970916,0.00076516566,0.0007319608,0.0007799392,0.00011411955,0.00051723566],"domain_scores_gemma":[0.9977971,0.0009273893,0.0003991809,0.0006085091,0.00013154223,0.00013630958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004835065,0.0002591295,0.0003131983,0.00006905276,0.0003508585,0.000014162252,0.00029814275,0.00036179542,0.00005214294],"category_scores_gemma":[0.00086453167,0.00021404387,0.00016252672,0.00023269595,0.00069390057,0.000014597465,0.00015103293,0.00021759156,0.0000070403207],"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":[0.00011473139,0.000018022674,0.94125706,0.00004575839,0.000261056,4.9096275e-7,0.000056469467,0.0000583264,0.010473279,0.00019221123,0.0088606095,0.038661964],"study_design_scores_gemma":[0.00054868776,0.000097575794,0.95887,0.000049032988,0.00020528949,0.0000068868476,0.00011775611,0.000030648524,0.007839795,0.008232533,0.023717372,0.00028444603],"about_ca_topic_score_codex":0.00034946797,"about_ca_topic_score_gemma":0.002520445,"teacher_disagreement_score":0.08485708,"about_ca_system_score_codex":0.00022178332,"about_ca_system_score_gemma":0.00026764142,"threshold_uncertainty_score":0.8728456},"labels":[],"label_agreement":null},{"id":"W2100779089","doi":"10.1158/1055-9965.epi-13-1255","title":"Determinants of Human Papillomavirus Coinfections among Montreal University Students: The Influence of Behavioral and Biologic Factors","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Centre Hospitalier de l’Université de Montréal; Queen's University","funders":"Canadian Institutes of Health Research; Centre National de la Recherche Scientifique","keywords":"Coinfection; Logistic regression; Medicine; Demography; Cohort; Oncology; Immunology; Internal medicine; Human immunodeficiency virus (HIV)","score_opus":0.06657281463999117,"score_gpt":0.42349866060531155,"score_spread":0.3569258459653204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100779089","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":[0.99872607,0.00051495514,0.000042530006,0.00006195376,0.000058835558,0.00038338266,0.000017673558,0.000015560077,0.00017903028],"genre_scores_gemma":[0.99905926,0.00069062866,0.000023809504,0.000022263632,0.000022144062,0.00001024469,0.000016246991,0.000006012169,0.00014937074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842274,0.00062375853,0.00037183226,0.0002538871,0.00010993083,0.00021785247],"domain_scores_gemma":[0.99884456,0.00039471124,0.0002878719,0.00023313734,0.00014055333,0.00009916937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010447608,0.000117594784,0.0004624462,0.00010439976,0.00015111026,0.0000020452837,0.00015132986,0.00015412612,0.00012489494],"category_scores_gemma":[0.00016031245,0.00008092259,0.00013665756,0.00016582182,0.0009679155,0.000069621965,0.00009095403,0.00015230765,6.2579403e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019079255,0.000106735235,0.9870198,0.00007365072,0.0000931259,9.413953e-7,0.00009844689,0.000006837051,0.0013970118,0.0000640599,0.000046179768,0.01090247],"study_design_scores_gemma":[0.0009534254,0.0007728332,0.9965676,0.000080348575,0.00021945508,0.0000018957646,0.00019193454,0.00004372996,0.00045427808,0.00055814674,0.00008823111,0.00006809371],"about_ca_topic_score_codex":0.0147526525,"about_ca_topic_score_gemma":0.010491927,"teacher_disagreement_score":0.010834376,"about_ca_system_score_codex":0.00008671279,"about_ca_system_score_gemma":0.000053389645,"threshold_uncertainty_score":0.9918082},"labels":[],"label_agreement":null},{"id":"W2100889109","doi":"10.1158/1055-9965.epi-11-0945-t","title":"Coffee, Tea, and Sugar-Sweetened Carbonated Soft Drink Intake and Pancreatic Cancer Risk: A Pooled Analysis of 14 Cohort Studies","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Coffee research and impacts","field":"Medicine","cited_by":90,"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","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Pancreatic cancer; Prospective cohort study; Relative risk; Body mass index; Internal medicine; Confidence interval; Cancer; Cohort study; Proportional hazards model; Gastroenterology","score_opus":0.06423851424819772,"score_gpt":0.4097541520596933,"score_spread":0.3455156378114956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100889109","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":[0.830014,0.16761291,0.00017965927,0.001184435,0.00016516123,0.0006903604,0.00004779048,0.00003231523,0.00007334763],"genre_scores_gemma":[0.9358378,0.06282009,0.00034900717,0.00019164552,0.00010018957,0.00023693602,0.00009121484,0.000019666053,0.00035341934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99687886,0.0010679027,0.0007272426,0.00045768125,0.00018728833,0.00068104593],"domain_scores_gemma":[0.99714905,0.0013217763,0.00051079266,0.0003170861,0.00025005985,0.00045123856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003475117,0.00027164823,0.0015146972,0.00051738386,0.00011326769,0.0000049424793,0.0000683356,0.00021506764,0.00015496704],"category_scores_gemma":[0.0029976938,0.00021130068,0.00023483588,0.00071959576,0.0006151261,0.000143716,0.00010420592,0.00024124651,0.0000011874366],"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":[0.0007940498,0.000074297444,0.92566574,0.00023935725,0.028366888,0.0000021184262,0.00023266426,0.000006945495,0.0026746748,0.000013415579,0.0014628038,0.040467065],"study_design_scores_gemma":[0.0015491475,0.00028682878,0.9779696,0.0003747638,0.016632242,0.0000081141225,0.0001952349,0.0017839905,0.00034613715,0.0003116434,0.00036304808,0.00017923533],"about_ca_topic_score_codex":0.0044967127,"about_ca_topic_score_gemma":0.0022491948,"teacher_disagreement_score":0.105823815,"about_ca_system_score_codex":0.0002757243,"about_ca_system_score_gemma":0.00017248711,"threshold_uncertainty_score":0.86165917},"labels":[],"label_agreement":null},{"id":"W2100968336","doi":"10.1158/1055-9965.epi-05-0314","title":"A Randomized Controlled Trial of Financial Incentives for Smoking Cessation","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":258,"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 Health Economics","funders":"National Cancer Institute; U.S. Department of Veterans Affairs","keywords":"Smoking cessation; Medicine; Incentive; Veterans Affairs; Cotinine; Randomized controlled trial; Physical therapy; Demography; Nicotine; Internal medicine","score_opus":0.0501349782346945,"score_gpt":0.3830316745540822,"score_spread":0.33289669631938773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100968336","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":[0.9570309,0.001539523,0.03169647,0.0009945028,0.0017066341,0.0066689556,0.000011255235,0.00004959248,0.00030218295],"genre_scores_gemma":[0.9945056,0.00018834001,0.0007755049,0.000099460914,0.0005220074,0.0031579193,0.00029705276,0.000015174144,0.00043898073],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99708825,0.0009447805,0.0012685761,0.00031325128,0.00014077511,0.00024438655],"domain_scores_gemma":[0.99694014,0.001532249,0.001112984,0.0001619067,0.00021525357,0.000037448477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055181896,0.00016767158,0.0015907551,0.00018819109,0.000083118975,0.0000039039255,0.00005801043,0.00028968515,0.00007400306],"category_scores_gemma":[0.0025054084,0.00013341973,0.00082251895,0.00013651409,0.00023463099,0.00009058628,0.000012011563,0.000095987314,2.5959017e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.91636825,0.00023332005,0.07184287,0.00007803752,0.00033177485,3.6882466e-7,0.000030191472,0.000016204978,0.0006963289,0.0023824235,0.0011132931,0.0069069364],"study_design_scores_gemma":[0.88407725,0.00027889508,0.0951058,0.00023859409,0.0015975536,0.0000012826058,0.000013586274,0.00040888105,0.0007933645,0.017190136,0.00018650238,0.000108157845],"about_ca_topic_score_codex":0.00027094822,"about_ca_topic_score_gemma":0.00003268909,"teacher_disagreement_score":0.037474673,"about_ca_system_score_codex":0.00014860595,"about_ca_system_score_gemma":0.00019600452,"threshold_uncertainty_score":0.5440699},"labels":[],"label_agreement":null},{"id":"W2101083042","doi":"10.1158/1055-9965.epi-08-0926","title":"Global DNA Hypomethylation (LINE-1) in the Normal Colon and Lifestyle Characteristics and Dietary and Genetic Factors","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":146,"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 Cancer Institute; National Institutes of Health","keywords":"DNA methylation; Genetics; Line (geometry); DNA; Biology; Gene; Gene expression; Mathematics","score_opus":0.03142614354151036,"score_gpt":0.3335783087140117,"score_spread":0.3021521651725013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101083042","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":[0.97588897,0.021314163,0.0012335512,0.0010944279,0.00012604153,0.00028131602,0.000021240188,0.0000061189226,0.000034188106],"genre_scores_gemma":[0.98906213,0.00942587,0.00083399465,0.00032734376,0.00012500692,0.000020467742,0.00017912977,0.0000063565244,0.000019707382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984585,0.0005191216,0.0003621681,0.00037447983,0.000055601053,0.00023012812],"domain_scores_gemma":[0.99943936,0.00011567781,0.00018563685,0.00015616075,0.000032029333,0.00007113131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008146222,0.00016622605,0.00021808074,0.000045636625,0.0000968324,0.000014844771,0.000072017014,0.00023763372,0.0000027858378],"category_scores_gemma":[0.00028596362,0.00013566173,0.000041061092,0.00009412702,0.00014872318,0.000010752851,0.000043769647,0.000073372146,2.3307236e-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":[0.00011329874,0.000030293984,0.9076222,0.000016856575,0.00003875468,0.0000014112767,0.000059042675,0.000017964629,0.028691292,0.00004024136,0.00006744192,0.0633012],"study_design_scores_gemma":[0.00039917938,0.00045639684,0.9939792,0.000021725107,0.000048697788,0.0000069307016,0.00003424543,0.0004058471,0.00075444684,0.0031158607,0.0006341246,0.00014330629],"about_ca_topic_score_codex":0.00009046808,"about_ca_topic_score_gemma":0.00027573307,"teacher_disagreement_score":0.08635704,"about_ca_system_score_codex":0.000021416867,"about_ca_system_score_gemma":0.000030201478,"threshold_uncertainty_score":0.55321246},"labels":[],"label_agreement":null},{"id":"W2101580583","doi":"10.1158/1055-9965.epi-13-0965","title":"Association between Allergies and Risk of Pancreatic Cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Mast cells and histamine","field":"Immunology and Microbiology","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Jewish General Hospital; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Cancer Care Ontario; Toronto General Hospital; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; Asociación Cáncer de Páncreas","keywords":"Medicine; Allergy; Pancreatic cancer; Hay fever; Population; Cancer; Internal medicine; Confounding; Skin cancer; Asthma; Case-control study; Immunology; Environmental health","score_opus":0.021646759362409052,"score_gpt":0.29451431748571705,"score_spread":0.272867558123308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101580583","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":[0.9541408,0.04064083,0.002114912,0.0013650276,0.00080864824,0.00026715756,0.00010121638,0.000046569487,0.00051485386],"genre_scores_gemma":[0.97122,0.021093367,0.00051979895,0.00009094845,0.00012683212,0.000114912815,0.00018854374,0.000017525,0.0066280593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972404,0.0015078265,0.00056371116,0.00033550363,0.00002621299,0.00032630004],"domain_scores_gemma":[0.99749,0.0013380351,0.00087699876,0.00018746259,0.00007836823,0.000029127194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002242765,0.00016587401,0.00061983865,0.00009260342,0.0001327297,0.0000026104567,0.000106952495,0.00039137894,0.0006467579],"category_scores_gemma":[0.0007111816,0.00014743627,0.00012529739,0.00008344314,0.00023403607,0.00006178947,0.00005352664,0.00018264343,0.000021287442],"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":[0.00008403081,0.000020973726,0.9396372,0.00006802794,0.0022103535,4.9708532e-8,0.000075705,0.000011544568,0.005940607,0.0002822794,0.008500271,0.04316899],"study_design_scores_gemma":[0.0010913388,0.00015200503,0.93639404,0.00013600843,0.0009941624,8.6394334e-7,0.000036451485,0.000048271395,0.0023826626,0.0039097993,0.05468169,0.00017270945],"about_ca_topic_score_codex":0.002788905,"about_ca_topic_score_gemma":0.00093759305,"teacher_disagreement_score":0.046181418,"about_ca_system_score_codex":0.000106227875,"about_ca_system_score_gemma":0.000038041522,"threshold_uncertainty_score":0.70815456},"labels":[],"label_agreement":null},{"id":"W2101699753","doi":"10.1158/1055-9965.epi-05-0569","title":"Physical Activity in Relation to Mammographic Density in the Dutch Prospect-European Prospective Investigation into Cancer and Nutrition Cohort","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":40,"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 Cancer Foundation","funders":"","keywords":"MAMMOGRAPHIC DENSITY; European Prospective Investigation into Cancer and Nutrition; Physical activity; Breast cancer; Prospective cohort study; Medicine; Relation (database); Cohort; Gerontology; Mammography; Cancer; Demography; Environmental health; Internal medicine; Physical therapy; Sociology; Computer science","score_opus":0.019660742296146175,"score_gpt":0.3201113149490997,"score_spread":0.30045057265295355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101699753","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":[0.9892934,0.0008294298,0.0003732042,0.0071386537,0.000096926036,0.0018548089,0.000004637616,0.000040177587,0.00036876992],"genre_scores_gemma":[0.99825084,0.00014726355,0.00040259527,0.00027161068,0.00018457897,0.00063693465,0.00005605029,0.000014002664,0.0000361346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980978,0.00067232916,0.00032211212,0.00050973415,0.00012660373,0.00027145058],"domain_scores_gemma":[0.9993468,0.0001823683,0.00017186215,0.00017119941,0.000060823913,0.000066934386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017100038,0.00017656344,0.00035138222,0.00034691647,0.000082992534,0.0000157357,0.00006369274,0.00008806474,0.0000022994666],"category_scores_gemma":[0.00013839024,0.00014452005,0.00010813204,0.0009005171,0.0002443662,0.00030947253,0.000027457878,0.00026096628,0.0000019069602],"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":[0.00044577022,0.00028141358,0.97319645,0.000086896594,0.000053348835,0.00000825986,0.00030005418,0.000015122707,0.0033515121,0.0005990443,0.0003000095,0.021362098],"study_design_scores_gemma":[0.00101271,0.00014651721,0.9682813,0.0005161685,0.00008694419,0.000017288277,0.00006713911,0.0004638721,0.00050394016,0.028732844,0.00003643592,0.00013484154],"about_ca_topic_score_codex":0.003331986,"about_ca_topic_score_gemma":0.0039793584,"teacher_disagreement_score":0.028133798,"about_ca_system_score_codex":0.00027613947,"about_ca_system_score_gemma":0.000049193895,"threshold_uncertainty_score":0.5893357},"labels":[],"label_agreement":null},{"id":"W2101725481","doi":"10.1158/1055-9965.epi-07-0658","title":"The Effect of Difluoromethylornithine on Decreasing Prostate Size and Polyamines in Men: Results of a Year-Long Phase IIb Randomized Placebo-Controlled Chemoprevention Trial","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Medicine; Placebo; Prostate; Putrescine; Prostate cancer; Prostate-specific antigen; Urology; Ornithine decarboxylase; Polyamine; Prostate biopsy; Ornithine; Internal medicine; Randomized controlled trial; Gastroenterology; Endocrinology; Pathology; Chemistry; Cancer; Arginine; Biochemistry; Enzyme","score_opus":0.01566791082582933,"score_gpt":0.34114136164996384,"score_spread":0.3254734508241345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101725481","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":[0.98724425,0.008757692,0.00037381862,0.00042710156,0.00015902419,0.0028521195,0.000034889257,0.000007219306,0.00014385952],"genre_scores_gemma":[0.99310416,0.0045919935,0.0004197974,0.000019025078,0.00011286067,0.0010124594,0.0001240272,0.000014784929,0.0006008868],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9958312,0.002367356,0.0010817613,0.0003828959,0.000092316935,0.00024448428],"domain_scores_gemma":[0.9962171,0.0025163896,0.000843255,0.00031143893,0.000053485626,0.000058335783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058483668,0.00020390115,0.00095023983,0.000082279315,0.00010089662,0.0000031826037,0.00013074889,0.00017627506,0.0000038309154],"category_scores_gemma":[0.006585862,0.00013465475,0.00030814088,0.0001495683,0.0005077592,0.000008294732,0.0000531388,0.000094442075,3.8611614e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.89355564,0.0001454599,0.0016918918,0.000035427216,0.00039402072,5.866628e-7,0.00003773321,0.000009109032,0.08950936,0.000057376143,0.00022450057,0.0143389115],"study_design_scores_gemma":[0.8915057,0.001333182,0.009583666,0.000118963486,0.0002651751,0.0000057164375,0.000018667439,0.00021879826,0.095956005,0.00059269177,0.00024264459,0.00015876943],"about_ca_topic_score_codex":0.0001498618,"about_ca_topic_score_gemma":0.000059409664,"teacher_disagreement_score":0.014180142,"about_ca_system_score_codex":0.00001854097,"about_ca_system_score_gemma":0.00006495154,"threshold_uncertainty_score":0.7884368},"labels":[],"label_agreement":null},{"id":"W2101776944","doi":"10.1158/1055-9965.epi-07-0632","title":"Association of Vitamin D–Related Information from a Telephone Interview with 25-Hydroxyvitamin D","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":32,"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; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Office of Dietary Supplements","keywords":"Vitamin D and neurology; Medicine; Animal science; Vitamin; Body mass index; Breast cancer; Internal medicine; Sunlight; Endocrinology; Demography; Cancer; Biology","score_opus":0.041338177141243534,"score_gpt":0.337348177550577,"score_spread":0.29601000040933345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101776944","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":[0.9751925,0.006311652,0.005239192,0.010648883,0.00039660942,0.0011681493,0.000072971,0.000112940754,0.000857111],"genre_scores_gemma":[0.9867196,0.0063863704,0.00356997,0.00045136033,0.00007931325,0.00028022766,0.00053765636,0.000021157359,0.0019543073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701947,0.0008955972,0.0010311033,0.00031608922,0.00031185153,0.0004258841],"domain_scores_gemma":[0.99744767,0.0007841356,0.0009381723,0.00031772754,0.000386671,0.00012561072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002247323,0.00022910014,0.00085667684,0.0002734162,0.00011788396,0.00000305597,0.0001245848,0.00032148612,0.00028939696],"category_scores_gemma":[0.0018420077,0.00018118124,0.00021482943,0.00046331887,0.00032249396,0.00037791164,0.00008088669,0.00030205064,0.000057924248],"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":[0.0002373828,0.00020064667,0.9095684,0.0003206156,0.0035859281,0.00001303491,0.00076754607,0.000012888987,0.0027753287,0.000029823568,0.04273465,0.0397537],"study_design_scores_gemma":[0.0034274738,0.0005885551,0.9865899,0.0010225711,0.0004038834,0.000027034464,0.00021554824,0.00047474593,0.0010899637,0.0005037933,0.005479425,0.00017710864],"about_ca_topic_score_codex":0.00053673825,"about_ca_topic_score_gemma":0.00018517979,"teacher_disagreement_score":0.07702144,"about_ca_system_score_codex":0.00062829215,"about_ca_system_score_gemma":0.00021119176,"threshold_uncertainty_score":0.73883563},"labels":[],"label_agreement":null},{"id":"W2101944874","doi":"10.1158/1055-9965.epi-14-0299","title":"Effects of Physical Activity on Melatonin Levels in Previously Sedentary Men and Women","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","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":"Canadian Sleep & Circadian Network","funders":"National Cancer Institute","keywords":"Melatonin; Medicine; Body mass index; Morning; Aerobic exercise; Randomized controlled trial; Internal medicine; Young adult; Creatinine; Physiology; Endocrinology; Physical therapy","score_opus":0.036188719273761626,"score_gpt":0.3366864415661356,"score_spread":0.300497722292374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101944874","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":[0.99731237,0.00064629584,0.0002898284,0.00043527887,0.00021356416,0.0006022023,0.000006408802,0.0000307591,0.00046327847],"genre_scores_gemma":[0.9988644,0.00023814217,0.000051997726,0.00031269703,0.000078914396,0.00023250267,0.0000014125545,0.000016580534,0.00020332087],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99672264,0.0018127913,0.00028906873,0.0006019808,0.000101590034,0.0004719439],"domain_scores_gemma":[0.99670213,0.002648749,0.00027839132,0.00022081356,0.000010660446,0.00013924237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013449478,0.00019761118,0.000558181,0.0001508391,0.000057892525,0.0000040782643,0.00012639751,0.00015501483,0.000019245601],"category_scores_gemma":[0.0011664316,0.00018211387,0.00010286573,0.00018889693,0.00027349358,0.0001502452,0.0000635497,0.00020809835,0.0000091303655],"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":[0.0009097307,0.00072876876,0.15945326,0.000657044,0.00013449126,0.000016020473,0.0022582056,0.0001225348,0.5423355,0.012597435,0.0006312101,0.28015578],"study_design_scores_gemma":[0.0014091006,0.00040931467,0.70997846,0.0002853057,0.000029588551,0.0000055030614,0.000018221248,0.002156128,0.27944648,0.0057889093,0.00028874644,0.00018421898],"about_ca_topic_score_codex":0.00009030537,"about_ca_topic_score_gemma":0.000014577581,"teacher_disagreement_score":0.5505252,"about_ca_system_score_codex":0.00020720455,"about_ca_system_score_gemma":0.000049811246,"threshold_uncertainty_score":0.7426388},"labels":[],"label_agreement":null},{"id":"W2102060103","doi":"10.1158/1055-9965.epi-08-0958","title":"Physical Activity and Ovarian Cancer Risk: the European Prospective Investigation into Cancer and Nutrition","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","cited_by":162,"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 Cancer Foundation","funders":"National Institute for Health and Care Research; British Heart Foundation; Cancer Research UK; Wellcome Trust","keywords":"Medicine; Breast cancer; Quartile; Body mass index; Hazard ratio; Confidence interval; Metabolic equivalent; Prospective cohort study; European Prospective Investigation into Cancer and Nutrition; Menarche; Proportional hazards model; Cancer; Gynecology; Obstetrics; Demography; Internal medicine; Oncology; Physical activity; Physical therapy","score_opus":0.05226391020083286,"score_gpt":0.3862859930632622,"score_spread":0.33402208286242935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102060103","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":[0.9536426,0.0039321464,0.0005424068,0.04051666,0.0001438048,0.0009809184,0.000020067773,0.000056767247,0.00016462636],"genre_scores_gemma":[0.99090546,0.0067022187,0.00031581993,0.00088138756,0.0008036733,0.0002706896,0.000017226635,0.000013989405,0.00008953095],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976369,0.0012365113,0.00022298394,0.000515496,0.000096126176,0.00029196357],"domain_scores_gemma":[0.9989052,0.0003233499,0.0003265548,0.00018326218,0.00007360602,0.000188018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011697427,0.00019749232,0.0004745027,0.00005768841,0.00033999135,0.0000109617185,0.000056089008,0.00011254572,0.000010665954],"category_scores_gemma":[0.00022837367,0.00014354326,0.00009181566,0.00019169567,0.00043227547,0.00024717022,0.000035989044,0.0004199389,0.000002211282],"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":[0.0012131035,0.0006389946,0.2915929,0.00025944563,0.00037066604,0.000002450582,0.0013119518,0.0000062127287,0.022566745,0.0014059083,0.0018637873,0.67876786],"study_design_scores_gemma":[0.0013099745,0.00047336615,0.93144786,0.00040618636,0.00030275295,0.000004852991,0.00004590655,0.0014685167,0.0015235202,0.06256688,0.0003109501,0.00013923043],"about_ca_topic_score_codex":0.0045777005,"about_ca_topic_score_gemma":0.0012414303,"teacher_disagreement_score":0.6786286,"about_ca_system_score_codex":0.0002860867,"about_ca_system_score_gemma":0.00013269491,"threshold_uncertainty_score":0.6920144},"labels":[],"label_agreement":null},{"id":"W2102370119","doi":"10.1158/1055-9965.epi-14-0427","title":"Known and Novel Sources of Variability in the Nicotine Metabolite Ratio in a Large Sample of Treatment-Seeking Smokers","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":122,"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 Brain Institute; Centre for Addiction and Mental Health","funders":"National Cancer Institute; National Institute on Drug Abuse; Canadian Institutes of Health Research","keywords":"Cotinine; Nicotine; CYP2A6; Metabolite; Smoking cessation; Internal medicine; Medicine; Chemistry; Endocrinology; Metabolism","score_opus":0.05865074104127157,"score_gpt":0.36983577740366297,"score_spread":0.3111850363623914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102370119","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":[0.9741506,0.0008137729,0.023795027,0.0006062677,0.00010887541,0.00044644074,0.00002300466,0.0000077752065,0.000048213224],"genre_scores_gemma":[0.99876094,0.0002150031,0.0006905176,0.00009871784,0.00003693352,0.00009642057,0.000081437436,0.0000067751917,0.000013246196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974853,0.0013308071,0.00064225163,0.00026714453,0.00007344286,0.00020108632],"domain_scores_gemma":[0.99760896,0.0017289148,0.00035040142,0.00023765415,0.000044942677,0.000029137853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075493613,0.0001193491,0.00051857554,0.00014924089,0.00002832805,0.0000018562243,0.00006125864,0.0001394418,0.000032215674],"category_scores_gemma":[0.0016213816,0.00008416546,0.00010053456,0.00023731211,0.00015335061,0.00006013751,0.00001782165,0.00009470957,7.0076915e-8],"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":[0.00018650557,0.00023791568,0.97686815,0.0000746779,0.00007382623,1.08987855e-7,0.00057144277,0.000016462765,0.004381414,0.00133283,0.000007968989,0.016248688],"study_design_scores_gemma":[0.0023537455,0.00020521763,0.991044,0.00015175827,0.00023556041,0.000002866611,0.0002250738,0.0020410318,0.0010435092,0.002341889,0.0002932716,0.00006208444],"about_ca_topic_score_codex":0.002708368,"about_ca_topic_score_gemma":0.00070843776,"teacher_disagreement_score":0.024610326,"about_ca_system_score_codex":0.00011951653,"about_ca_system_score_gemma":0.00006966476,"threshold_uncertainty_score":0.40942603},"labels":[],"label_agreement":null},{"id":"W2102416184","doi":"10.1158/1055-9965.epi-08-0756","title":"Physical Activity and Postmenopausal Breast Cancer: Proposed Biologic Mechanisms and Areas for Future Research","year":2009,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":230,"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 Cancer Foundation","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Oncology; Cancer; Internal medicine; Body mass index; Overweight; Insulin resistance; Risk factor; Adiponectin; Biomarker; Endocrinology; Obesity; Biology","score_opus":0.1681893514623889,"score_gpt":0.5033220299025535,"score_spread":0.3351326784401646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102416184","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":[0.0033414974,0.9864007,0.00024334088,0.003930668,0.00065704866,0.004642946,0.000689425,0.00007476705,0.000019567979],"genre_scores_gemma":[0.0012199196,0.99439925,0.00060557364,0.0001428906,0.0015803397,0.0013206496,0.00038962314,0.00006590605,0.00027584322],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955099,0.0014537568,0.0006050169,0.0013817751,0.00018514301,0.0008643991],"domain_scores_gemma":[0.997437,0.0009198915,0.0006368545,0.000429906,0.00021419248,0.00036216385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024260601,0.0006538044,0.0030558996,0.00034717136,0.0002934361,0.000019676207,0.00016524078,0.0010505173,0.00004379681],"category_scores_gemma":[0.00019191539,0.00045753692,0.0005063749,0.00036493342,0.000547108,0.00010607681,0.00012338617,0.00087278977,0.0000026120188],"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":[0.0008491105,0.00018313313,0.00045769793,0.0062739886,0.0009443723,0.0000059068198,0.00002616622,6.49611e-8,0.000112438494,0.00054142607,0.001968117,0.98863757],"study_design_scores_gemma":[0.004141294,0.005306877,0.059140462,0.027967347,0.008375871,0.000632658,0.00013377066,0.00019433514,0.000038049628,0.024494052,0.86790043,0.0016748599],"about_ca_topic_score_codex":0.0006695797,"about_ca_topic_score_gemma":0.00024264248,"teacher_disagreement_score":0.98696274,"about_ca_system_score_codex":0.0007413932,"about_ca_system_score_gemma":0.00084150815,"threshold_uncertainty_score":0.9997876},"labels":[],"label_agreement":null},{"id":"W2102423239","doi":"10.1158/1055-9965.epi-11-1123-t","title":"Association of the 15q25 and 5p15 Lung Cancer Susceptibility Regions with Gene Expression in Lung Tumor Tissue","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomic variations and chromosomal abnormalities","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":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Lung cancer; Locus (genetics); Genome-wide association study; Biology; Adenocarcinoma; Genotype; Gene; Lung cancer susceptibility; Genetics; Lung; Allele; Oncology; Bioinformatics; Cancer; Pathology; Internal medicine; Medicine; Single-nucleotide polymorphism","score_opus":0.015397575141451613,"score_gpt":0.30507441739002317,"score_spread":0.28967684224857154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102423239","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":[0.9843632,0.012365391,0.0014065359,0.0010837844,0.0003003539,0.0003849226,0.000039143844,0.0000057637653,0.000050929484],"genre_scores_gemma":[0.99679947,0.00087092374,0.0010845436,0.000121622856,0.00015312397,0.00017895497,0.000054696757,0.000011457809,0.0007252098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984055,0.00059709157,0.0003643001,0.00026892513,0.00006617648,0.00029800282],"domain_scores_gemma":[0.9991289,0.000070277,0.0004220893,0.00025351634,0.000069785434,0.000055473392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011078732,0.00013330729,0.00022439126,0.00003504154,0.00009464274,0.000003412631,0.00010691444,0.00017241099,0.00004486517],"category_scores_gemma":[0.0001649173,0.00009753787,0.000064711225,0.00009914315,0.00010723995,0.000017854634,0.00009142824,0.000089050154,2.639196e-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":[0.000072340685,0.000040211653,0.8695245,0.000056578847,0.000112156406,8.200926e-8,0.00010774403,0.00006425915,0.12750301,0.00005037777,0.0022036463,0.0002650951],"study_design_scores_gemma":[0.0005864485,0.000048028476,0.91303545,0.00013818144,0.000114094866,0.0000046206965,0.00011364585,0.00008842571,0.08412825,0.00021074142,0.0013856927,0.00014639957],"about_ca_topic_score_codex":0.00044801753,"about_ca_topic_score_gemma":0.0013600875,"teacher_disagreement_score":0.043510962,"about_ca_system_score_codex":0.00016363783,"about_ca_system_score_gemma":0.00010629559,"threshold_uncertainty_score":0.3977479},"labels":[],"label_agreement":null},{"id":"W2102932132","doi":"10.1158/1055-9965.epi-12-0692","title":"A Pooled Analysis of Smoking and Colorectal Cancer: Timing of Exposure and Interactions with Environmental Factors","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":67,"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 Cancer Institute; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institute on Aging","keywords":"Medicine; Colorectal cancer; Relative risk; Confidence interval; Absolute risk reduction; Body mass index; Internal medicine; Cancer; Smoking cessation; Case-control study; Oncology; Demography; Pathology","score_opus":0.04224471405347877,"score_gpt":0.3410046473000716,"score_spread":0.2987599332465928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102932132","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":[0.9861556,0.012288917,0.0009677729,0.00012291034,0.00015877093,0.00022006655,0.000031035648,0.000016709444,0.00003820142],"genre_scores_gemma":[0.99844146,0.00076675013,0.0005562907,0.000025806492,0.000043065284,0.000062175044,0.000059496397,0.000010179434,0.0000347954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892557,0.00019056392,0.00037148414,0.0002324704,0.000081885686,0.0001980247],"domain_scores_gemma":[0.9990683,0.0002997045,0.00040230315,0.000097058255,0.000025425968,0.00010719625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050380215,0.0001357258,0.00055877474,0.00028901626,0.00006180697,0.0000017009706,0.000024769539,0.000106611325,0.00011107612],"category_scores_gemma":[0.00007540312,0.000110710076,0.000125756,0.00027937186,0.0002280595,0.00012552587,0.00003104832,0.00012097628,5.9005863e-8],"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":[0.0018214893,0.00005282482,0.959832,0.00005487149,0.0038241562,2.5973532e-7,0.00048430485,0.00004030571,0.014270988,0.00000559718,0.000020101848,0.019593066],"study_design_scores_gemma":[0.00064691063,0.00075211324,0.98457366,0.00018831034,0.005359273,0.000012590381,0.0005777641,0.0011558043,0.0065687145,0.000014780211,0.000054175594,0.00009588982],"about_ca_topic_score_codex":0.0009781925,"about_ca_topic_score_gemma":0.000642227,"teacher_disagreement_score":0.02474164,"about_ca_system_score_codex":0.00014268645,"about_ca_system_score_gemma":0.000032746855,"threshold_uncertainty_score":0.4514626},"labels":[],"label_agreement":null},{"id":"W2103129429","doi":"10.1158/1055-9965.epi-08-1223","title":"Genetic Variants and Prostate Cancer Risk: Candidate Replication and Exploration of Viral Restriction Genes","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; V Foundation for Cancer Research; U.S. Department of Veterans Affairs","keywords":"Prostate cancer; Candidate gene; Biology; Population stratification; Cancer; Population; Disease; Genetic association; Genome-wide association study; Family history; Genetics; Oncology; Single-nucleotide polymorphism; Gene; Medicine; Internal medicine; Genotype","score_opus":0.058803022280181895,"score_gpt":0.3948959696089704,"score_spread":0.33609294732878847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103129429","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":[0.93935245,0.052644223,0.0013998044,0.0052570025,0.00015950552,0.0010594538,0.00004460465,0.00003653779,0.000046436766],"genre_scores_gemma":[0.82389295,0.17351809,0.0016360666,0.000110556866,0.00011072662,0.00026654958,0.00011892084,0.000012089716,0.00033407222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818623,0.00039726755,0.0004943557,0.0005453659,0.000103998194,0.00027277757],"domain_scores_gemma":[0.99893427,0.000093304574,0.0004182394,0.0002948347,0.00013201742,0.00012735666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089813187,0.00016323621,0.00037273535,0.00017418721,0.000131063,0.000007321899,0.000041470976,0.00015678261,0.000022321403],"category_scores_gemma":[0.0001858121,0.00013478944,0.00005752071,0.00019517481,0.00018568993,0.00025168207,0.000023620803,0.00012404223,9.775767e-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":[0.0013074841,0.00006145987,0.617116,0.00009242872,0.00022596761,0.0000027630647,0.00015317276,0.000024670366,0.016596572,0.00008271461,0.0006140283,0.36372277],"study_design_scores_gemma":[0.0019071648,0.0007007979,0.98199016,0.00024534896,0.00031914611,0.0000099880845,0.00005533947,0.0013210967,0.0028861794,0.010051014,0.00039305704,0.00012068449],"about_ca_topic_score_codex":0.001274342,"about_ca_topic_score_gemma":0.00014679546,"teacher_disagreement_score":0.3648742,"about_ca_system_score_codex":0.00016213843,"about_ca_system_score_gemma":0.00015709567,"threshold_uncertainty_score":0.5496554},"labels":[],"label_agreement":null},{"id":"W2103486910","doi":"10.1158/1055-9965.epi-06-0986","title":"Longitudinal Study of Insulin-like Growth Factor, Insulin-like Growth Factor Binding Protein-3, and their Polymorphisms: Risk of Neoplastic Progression in Barrett's Esophagus","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institutes of Health","keywords":"Hazard ratio; Internal medicine; Insulin-like growth factor; Endocrinology; Risk factor; Adenocarcinoma; Genotype; Gastroenterology; Insulin-like growth factor-binding protein; Barrett's esophagus; Medicine; Biology; Confidence interval; Growth factor; Receptor; Cancer; Genetics; Gene","score_opus":0.05175282512075763,"score_gpt":0.3672988771264879,"score_spread":0.31554605200573027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103486910","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":[0.92017287,0.07530474,0.00081081025,0.00017988017,0.00034845102,0.003031404,0.00009820516,0.00004445325,0.000009219036],"genre_scores_gemma":[0.9965235,0.0020194065,0.0008584855,0.000024870393,0.00009524392,0.00032472963,0.0000660862,0.000044753622,0.00004293763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995249,0.001227908,0.001443427,0.0008915067,0.00037345872,0.0008147378],"domain_scores_gemma":[0.99674755,0.0011413939,0.0010502862,0.00039706615,0.00027036222,0.00039330852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024663787,0.00048434574,0.0012917438,0.00075909164,0.00013507664,0.0000072405164,0.00020217446,0.00034408123,0.00008485003],"category_scores_gemma":[0.0012517262,0.00036100784,0.00023353111,0.00071580854,0.00044496398,0.00020792485,0.00016181394,0.0005416645,0.0000030378544],"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":[0.0051271254,0.001355398,0.96448946,0.00044332814,0.0012177668,0.00008880659,0.0006385246,0.0000016047032,0.0013593214,0.000030366837,0.000028989547,0.025219329],"study_design_scores_gemma":[0.007569828,0.0049164933,0.9760771,0.001042844,0.00024322906,0.000021892123,0.00036808537,0.00007067236,0.008550948,0.0009061907,0.000002657079,0.00023010433],"about_ca_topic_score_codex":0.003071808,"about_ca_topic_score_gemma":0.0013454122,"teacher_disagreement_score":0.076350644,"about_ca_system_score_codex":0.00057401304,"about_ca_system_score_gemma":0.00032114133,"threshold_uncertainty_score":0.9998842},"labels":[],"label_agreement":null},{"id":"W2103847060","doi":"10.1158/1055-9965.epi-04-0688","title":"Genetic Polymorphisms of <i>SULT1A1</i> and <i>SULT1E1</i> and the Risk and Survival of Breast Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":"inVentiv Health Clinical","funders":"","keywords":"Breast cancer; Haplotype; Odds ratio; Genotype; Single-nucleotide polymorphism; Hazard ratio; Internal medicine; Oncology; Medicine; Proportional hazards model; Cancer; Confidence interval; Gastroenterology; Gynecology; Biology; Genetics; Gene","score_opus":0.014663613663922164,"score_gpt":0.29661702892315644,"score_spread":0.2819534152592343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103847060","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":[0.8674742,0.12862563,0.0018955296,0.0014553781,0.00012695031,0.00027074543,0.000103543774,0.000003734843,0.000044310204],"genre_scores_gemma":[0.9179633,0.080067255,0.0015328159,0.000113523,0.00015947949,0.000053057774,0.000019957502,0.000013868149,0.00007669741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819547,0.00065456727,0.00051453296,0.0003707254,0.00006708897,0.00019760913],"domain_scores_gemma":[0.99890375,0.00020337701,0.0005051254,0.00022595361,0.000089220935,0.000072598166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001403442,0.0001652343,0.00037362505,0.00004165408,0.000079477875,0.000004091432,0.00008835083,0.00019605304,0.000012921571],"category_scores_gemma":[0.00016009348,0.0001235843,0.00008619335,0.00007129532,0.0008144395,0.0000072132602,0.000104600105,0.00007820003,1.6101278e-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":[0.0007547145,0.000032293374,0.70694673,0.000059870006,0.00034498237,1.1000862e-7,0.00007838013,0.00014365985,0.16373435,0.00017931429,0.00018581175,0.12753977],"study_design_scores_gemma":[0.0028903414,0.00015305879,0.9594637,0.00007995033,0.00030330152,0.0000090815265,0.00004613695,0.0007282432,0.031296752,0.0025385737,0.0022833564,0.00020746842],"about_ca_topic_score_codex":0.0007802653,"about_ca_topic_score_gemma":0.00060513796,"teacher_disagreement_score":0.25251698,"about_ca_system_score_codex":0.000010802044,"about_ca_system_score_gemma":0.000049265356,"threshold_uncertainty_score":0.5039621},"labels":[],"label_agreement":null},{"id":"W2103866599","doi":"10.1158/1055-9965.epi-14-0102","title":"Occupational Exposure to Extremely Low-Frequency Magnetic Fields and Brain Tumor Risks in the INTEROCC Study","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum; University of Ottawa; Montreal General Hospital; Institut National de la Recherche Scientifique; Institute of Population and Public Health","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research; World Health Organization","keywords":"Percentile; Medicine; Glioma; Confidence interval; Meningioma; Odds ratio; Brain tumor; Demography; Internal medicine; Pathology; Statistics","score_opus":0.03583019703352568,"score_gpt":0.3511780737310561,"score_spread":0.3153478766975304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103866599","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":[0.98934764,0.002993879,0.0025948808,0.003990957,0.000184895,0.0007403159,0.0000051012967,0.000009497018,0.00013281906],"genre_scores_gemma":[0.9933443,0.00009278087,0.00060041336,0.0052819354,0.0001862069,0.00034948427,0.00005181745,0.000008035254,0.000085005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970634,0.0016254332,0.0003910014,0.00052488403,0.000071366565,0.0003239209],"domain_scores_gemma":[0.99909616,0.00039142428,0.00011344802,0.00028905805,0.000038220034,0.00007167238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022453147,0.0001852755,0.00025044996,0.000056947498,0.00007512686,0.00001136771,0.00024864034,0.00021373098,0.000052349023],"category_scores_gemma":[0.0012016584,0.00012767909,0.00008052343,0.00011943903,0.000102051265,0.000004900366,0.00009155788,0.0001698784,0.000004064611],"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":[0.0005810809,0.00028011066,0.8252565,0.000037311638,0.00006996619,0.0000052516302,0.0001339204,0.00003241293,0.10064328,0.00026632377,0.0078013395,0.06489246],"study_design_scores_gemma":[0.0009502502,0.012617895,0.9814288,0.00005643009,0.000028587132,0.000012654475,0.00009098427,0.000120483506,0.00038758013,0.0034160977,0.00067467836,0.00021556379],"about_ca_topic_score_codex":0.00034864366,"about_ca_topic_score_gemma":0.0017930928,"teacher_disagreement_score":0.15617226,"about_ca_system_score_codex":0.000016544353,"about_ca_system_score_gemma":0.000035916608,"threshold_uncertainty_score":0.5206602},"labels":[],"label_agreement":null},{"id":"W2103889929","doi":"10.1158/1055-9965.epi-08-0486","title":"Genetic Variation in the Chromosome 17q23 Amplicon and Breast Cancer Risk","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"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 Cancer Foundation","funders":"National Cancer Institute; Cancer Research UK; Mayo Clinic","keywords":"Breast cancer; Odds ratio; Amplicon; Oncology; Context (archaeology); Internal medicine; Cancer; Confidence interval; Biology; Medicine; Bioinformatics; Genetics; Gene; Polymerase chain reaction","score_opus":0.016276334779418904,"score_gpt":0.29279864014763746,"score_spread":0.27652230536821854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103889929","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":[0.9836415,0.009578105,0.0019689936,0.0040383157,0.00022737862,0.00036008217,0.00008642624,0.000011424518,0.00008774785],"genre_scores_gemma":[0.9895387,0.008061829,0.00067181856,0.001003077,0.00035480675,0.00017320654,0.00007252243,0.000009934056,0.00011407371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981025,0.0006986701,0.00040975938,0.00042347334,0.000058183745,0.0003074497],"domain_scores_gemma":[0.9992968,0.0000635577,0.00026610037,0.00027800587,0.00004533698,0.000050233597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096023426,0.00017567194,0.00021326235,0.000058989855,0.00014279809,0.000015613687,0.00017255114,0.00021429069,0.000055800592],"category_scores_gemma":[0.000072695846,0.00014024881,0.000088425164,0.00011524647,0.00009599131,0.000012303053,0.000035471687,0.000116635965,0.000003097851],"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":[0.00028321933,0.00015240599,0.8741609,0.00003185844,0.0002948685,0.0000025652375,0.0004741907,0.0007179371,0.048322406,0.0010996024,0.0029118701,0.07154821],"study_design_scores_gemma":[0.0005332379,0.00014118447,0.9898698,0.00003208977,0.00007571936,0.000038146958,0.00007635632,0.00023649783,0.00021443224,0.0068830154,0.0017314358,0.00016813484],"about_ca_topic_score_codex":0.00093701325,"about_ca_topic_score_gemma":0.00070842874,"teacher_disagreement_score":0.11570888,"about_ca_system_score_codex":0.000056761328,"about_ca_system_score_gemma":0.00008235861,"threshold_uncertainty_score":0.571918},"labels":[],"label_agreement":null},{"id":"W2103966836","doi":"10.1158/1055-9965.epi-12-0485","title":"The Role of Obesity in Cancer Survival and Recurrence","year":2012,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":287,"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 Cancer Institute","keywords":"Obesity; Psychological intervention; Cancer; Medicine; Disease; Gerontology; Environmental health; Internal medicine; Psychiatry","score_opus":0.18278434900668386,"score_gpt":0.463252801880291,"score_spread":0.2804684528736071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103966836","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":[0.000664104,0.996442,0.000017771525,0.00021758163,0.0013224401,0.0010829691,0.0000686993,0.000014452331,0.00016993815],"genre_scores_gemma":[0.001125163,0.9976948,0.00006109033,0.00001974213,0.0002858045,0.0005083204,0.000075520256,0.00002868279,0.00020090057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966288,0.0011431681,0.0011277398,0.00048856577,0.00011526072,0.00049643224],"domain_scores_gemma":[0.99729097,0.0011011224,0.0009952994,0.0003971683,0.00006454297,0.00015091948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029315015,0.00035015598,0.002108428,0.00015080745,0.00008246355,0.0000039153397,0.0001729599,0.00051256915,0.00009297869],"category_scores_gemma":[0.00029010844,0.0002278142,0.0004415933,0.00029945275,0.00042654073,0.00006516045,0.000101455764,0.00048720374,0.0000036431077],"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":[0.00007329084,0.000043558477,0.15291557,0.0026951567,0.0003721781,5.28227e-7,0.000022167922,1.0268623e-7,0.0000010490322,0.00019575919,0.00023409366,0.84344655],"study_design_scores_gemma":[0.00033204572,0.000070300244,0.06910878,0.011460624,0.0014872359,0.000008873718,0.00003963946,0.000009722457,0.0000019280797,0.00094558316,0.9163227,0.00021254053],"about_ca_topic_score_codex":0.003827359,"about_ca_topic_score_gemma":0.0035308176,"teacher_disagreement_score":0.91608864,"about_ca_system_score_codex":0.00043620905,"about_ca_system_score_gemma":0.0005426778,"threshold_uncertainty_score":0.92899936},"labels":[],"label_agreement":null},{"id":"W2104751558","doi":"10.1158/1055-9965.epi-09-0087","title":"Energy Intake and Risk of Postmenopausal Breast Cancer: An Expanded Analysis in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","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":"Public Health Ontario; University of Toronto","funders":"National Institutes of Health","keywords":"Medicine; Breast cancer; Relative risk; Quartile; Body mass index; Cohort; Confidence interval; Internal medicine; Cancer; Prostate cancer; Cohort study; Oncology; Gynecology; Obstetrics","score_opus":0.024719628738963297,"score_gpt":0.3487352193779679,"score_spread":0.32401559063900465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104751558","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":[0.9663489,0.02770132,0.00032188816,0.004266369,0.0001474976,0.00090438523,0.00024086036,0.000017391205,0.000051394774],"genre_scores_gemma":[0.95839155,0.03941312,0.0005331617,0.00066674204,0.00024941377,0.00049389596,0.00021358473,0.000010056433,0.000028488936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974791,0.000894625,0.00065482536,0.00046263903,0.00014453175,0.00036432734],"domain_scores_gemma":[0.9988036,0.0003314901,0.00045281937,0.00017389172,0.00010665726,0.00013150738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020507672,0.00021911976,0.0008369854,0.00021253394,0.000157597,0.000007937921,0.000075482596,0.00017787414,0.00006122223],"category_scores_gemma":[0.00010903956,0.00015869073,0.00013573772,0.0005211001,0.00026162044,0.00013013755,0.000032716445,0.00016645585,5.154885e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.022309983,0.00024666367,0.9399514,0.000031627256,0.0026973842,0.0000034115726,0.00014631536,0.000023087416,0.00025219162,0.000170245,0.0013369907,0.03283068],"study_design_scores_gemma":[0.011530515,0.0010025322,0.9820064,0.00016808687,0.0026895662,0.000018638137,0.00024566884,0.0009304379,0.000026783135,0.0010029855,0.00022580406,0.000152624],"about_ca_topic_score_codex":0.01948103,"about_ca_topic_score_gemma":0.00818011,"teacher_disagreement_score":0.04205494,"about_ca_system_score_codex":0.0001381528,"about_ca_system_score_gemma":0.0000905104,"threshold_uncertainty_score":0.9870483},"labels":[],"label_agreement":null},{"id":"W2105116675","doi":"10.1158/1055-9965.265.14.1","title":"Common <i>BRCA2</i> Variants and Modification of Breast and Ovarian Cancer Risk in <i>BRCA1</i> Mutation Carriers","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Université Laval","funders":"","keywords":"Ovarian cancer; Breast cancer; Genotype; Penetrance; Allele; Genetics; Biology; Oncology; Population; Internal medicine; Cancer; Medicine; Gene; Phenotype","score_opus":0.022250512221179797,"score_gpt":0.33221736190502793,"score_spread":0.30996684968384813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105116675","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":[0.9685941,0.02330403,0.004425531,0.0025774685,0.0002882253,0.00049214833,0.00019769146,0.000014101296,0.00010670801],"genre_scores_gemma":[0.98690134,0.008459819,0.003567891,0.0003065863,0.00017522323,0.0002769141,0.00020267049,0.000025099132,0.000084425614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773693,0.000644477,0.00064266036,0.00060808583,0.00007808267,0.00028977168],"domain_scores_gemma":[0.99887115,0.0000993429,0.00052831596,0.00030941493,0.000096872136,0.00009493007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013261919,0.000208642,0.00034668137,0.0001320786,0.0000961316,0.000007653628,0.00012311955,0.0003229127,0.000027916927],"category_scores_gemma":[0.00015613151,0.00022316008,0.00006982772,0.00018621699,0.0003319864,0.00002914153,0.00007114916,0.00014098876,9.195622e-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":[0.0006160344,0.00009354005,0.60866034,0.00009625227,0.0005200884,9.770774e-7,0.00036652142,0.0035211479,0.07151033,0.00029573133,0.0021974267,0.31212163],"study_design_scores_gemma":[0.002475705,0.00014143989,0.97424513,0.00015749052,0.00020390493,0.00004328297,0.00019053862,0.0053091347,0.011348687,0.003018011,0.0025006204,0.00036608175],"about_ca_topic_score_codex":0.0016882947,"about_ca_topic_score_gemma":0.0044299443,"teacher_disagreement_score":0.3655848,"about_ca_system_score_codex":0.00017858991,"about_ca_system_score_gemma":0.00019747531,"threshold_uncertainty_score":0.9100204},"labels":[],"label_agreement":null},{"id":"W2105259646","doi":"10.1158/1055-9965.epi-05-0218","title":"Fruits and Vegetables and Ovarian Cancer Risk in a Pooled Analysis of 12 Cohort Studies","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","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","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Quartile; Medicine; Relative risk; Confidence interval; Ovarian cancer; Cancer; Proportional hazards model; Prospective cohort study; Cohort study; Internal medicine","score_opus":0.052609549905049666,"score_gpt":0.38936891274382185,"score_spread":0.33675936283877217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105259646","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":[0.79234314,0.20109165,0.000096463795,0.00566202,0.00012581453,0.0005441994,0.000048275077,0.000015097378,0.00007336036],"genre_scores_gemma":[0.8762679,0.12102835,0.0016433483,0.00034347476,0.00008025089,0.00045181066,0.000035304543,0.000011726301,0.00013781202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979692,0.0004331282,0.00067925645,0.0005429327,0.00008601696,0.0002894645],"domain_scores_gemma":[0.9986385,0.00051817205,0.00042207626,0.00022998605,0.00007908479,0.00011219119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499687,0.00020742955,0.0011927736,0.00040616706,0.000060231523,0.0000033887343,0.000040833336,0.0001593781,0.000113489856],"category_scores_gemma":[0.0002949633,0.00016949154,0.00016497723,0.0004181438,0.0002534415,0.00009181954,0.000048277238,0.00011556706,7.1696746e-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":[0.00025701,0.00012100668,0.88919955,0.00009565232,0.020153485,0.000003519953,0.00022433104,0.00014918059,0.000089042944,0.00012823333,0.00050960766,0.089069396],"study_design_scores_gemma":[0.0022807296,0.00013781119,0.9791442,0.00044566847,0.014741695,0.0000029235298,0.000098845536,0.0014258985,0.00014753733,0.0007102587,0.00073485135,0.00012959144],"about_ca_topic_score_codex":0.0036894074,"about_ca_topic_score_gemma":0.016461663,"teacher_disagreement_score":0.08994466,"about_ca_system_score_codex":0.000319629,"about_ca_system_score_gemma":0.00009886748,"threshold_uncertainty_score":0.9185994},"labels":[],"label_agreement":null},{"id":"W2105881701","doi":"10.1158/1055-9965.epi-13-0808","title":"Sedentary Behavior and Prostate Cancer Risk in the NIH–AARP Diet and Health Study","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":28,"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; Alberta Health Services","funders":"National Institutes of Health; Alberta Health Services","keywords":"Prostate cancer; Medicine; Overweight; Body mass index; Sitting; Proportional hazards model; Confidence interval; Prostate; Cancer; Prospective cohort study; Oncology; Internal medicine; Gynecology","score_opus":0.06344834221245903,"score_gpt":0.4147856343099748,"score_spread":0.35133729209751574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105881701","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":[0.93843484,0.035365608,0.000028305274,0.024150949,0.00022553635,0.0017025648,0.00003784738,0.000017149403,0.000037223075],"genre_scores_gemma":[0.9710889,0.02420485,0.00025648,0.0029748857,0.00016689315,0.0011654373,0.000050662493,0.00001157241,0.00008031077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977938,0.00096096174,0.00044389474,0.00040174308,0.0000954505,0.0003041785],"domain_scores_gemma":[0.9991604,0.00031331697,0.00023281988,0.00016249901,0.000035090314,0.000095857635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003316123,0.00015608045,0.00046424774,0.00006464441,0.00021176913,0.000005667903,0.00005260947,0.00006976885,0.000027084345],"category_scores_gemma":[0.00012191511,0.00010681873,0.00005948946,0.00011463141,0.00018873789,0.00005088968,0.000057517984,0.00019362902,0.0000010593527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005352992,0.0002829254,0.95047665,0.00008107024,0.00014628048,0.0000033885365,0.0003462034,9.840215e-7,0.0000074926566,0.000039039915,0.010749645,0.037331015],"study_design_scores_gemma":[0.0027493255,0.0015116495,0.9886867,0.00019388384,0.00022808247,0.000009702706,0.001110092,0.000052378124,0.0000010539967,0.0018540147,0.0035060304,0.000097080745],"about_ca_topic_score_codex":0.009989919,"about_ca_topic_score_gemma":0.009190728,"teacher_disagreement_score":0.03821005,"about_ca_system_score_codex":0.00011984927,"about_ca_system_score_gemma":0.000047034988,"threshold_uncertainty_score":0.99660265},"labels":[],"label_agreement":null},{"id":"W2105916116","doi":"10.1158/1055-9965.epi-05-0312","title":"Genetic Polymorphisms of <i>Flavin Monooxygenase 3</i> in Sulindac-Induced Regression of Colorectal Adenomas in Familial Adenomatous Polyposis","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Sulindac; Familial adenomatous polyposis; Genotype; Gastroenterology; Internal medicine; Genotyping; Medicine; Flavin-containing monooxygenase; Colorectal cancer; Biology; Genetics; Gene; Monooxygenase; Nonsteroidal; Cytochrome P450; Cancer; Metabolism","score_opus":0.03057059954521288,"score_gpt":0.3381209897317383,"score_spread":0.3075503901865254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105916116","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":[0.98465025,0.01295039,0.000061486404,0.0007868681,0.0004632404,0.000986339,0.000014331963,0.000024274408,0.00006280229],"genre_scores_gemma":[0.99631834,0.00083698035,0.00223038,0.00014603608,0.00018376637,0.00017066898,0.00003353611,0.000032093372,0.000048221547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99637914,0.00091272336,0.001511933,0.0005001063,0.00017932765,0.00051674835],"domain_scores_gemma":[0.99827766,0.00042137963,0.0007268656,0.00033586405,0.00006921832,0.00016902048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016132139,0.00029907128,0.0011455001,0.00054400903,0.00003025269,0.0000012976726,0.00015506792,0.00049890025,0.00008872907],"category_scores_gemma":[0.00049097894,0.00026102219,0.00027410395,0.00043295557,0.00021246918,0.00009362637,0.000057887184,0.0002875502,0.000007518436],"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":[0.0024187977,0.00029404517,0.72181386,0.00019408924,0.000111742644,0.000039763585,0.00027952154,0.00006668471,0.24375843,0.00002141456,0.0003146981,0.030686932],"study_design_scores_gemma":[0.004152691,0.00065828086,0.9071135,0.0011640106,0.000111752066,0.000028043754,0.00007004527,0.0015716563,0.08469832,0.00017591484,0.0000553128,0.00020046193],"about_ca_topic_score_codex":0.0014088354,"about_ca_topic_score_gemma":0.001460495,"teacher_disagreement_score":0.18529962,"about_ca_system_score_codex":0.00038757487,"about_ca_system_score_gemma":0.00035503262,"threshold_uncertainty_score":0.9999842},"labels":[],"label_agreement":null},{"id":"W2105962895","doi":"10.1158/1055-9965.epi-06-0340","title":"Effect of the Women's Health Initiative Study Publication on Hormone Replacement Therapy Use among Women Who Have Undergone <i>BRCA1/2</i> Testing","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Hôtel-Dieu de Québec; Hôpital du Saint-Sacrement","funders":"","keywords":"Medicine; Hormone replacement therapy (female-to-male); Women's Health Initiative; Breast cancer; Gynecology; Confidence interval; Hormone therapy; Population; Demography; Internal medicine; Obstetrics; Family medicine; Cancer; Observational study; Environmental health; Testosterone (patch)","score_opus":0.055995734157116825,"score_gpt":0.3740739984894256,"score_spread":0.31807826433230874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105962895","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":[0.9925586,0.0015757678,0.0024179853,0.00085997226,0.00033589918,0.0020409077,0.000022817481,0.00002288454,0.00016518499],"genre_scores_gemma":[0.995606,0.00046719032,0.00027547832,0.0016273013,0.00015214889,0.0012173791,0.00008502539,0.000036858568,0.0005325997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949703,0.0026070103,0.00089489756,0.00071543606,0.00019052472,0.00062182226],"domain_scores_gemma":[0.9968226,0.00085581327,0.001191602,0.00075668003,0.00024087503,0.00013241966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009543205,0.00028829605,0.0004689512,0.00012991182,0.00024337141,0.000013256289,0.00029593604,0.00021386996,0.000024228508],"category_scores_gemma":[0.002020394,0.0002229791,0.00012995771,0.0003838644,0.0003066177,0.000024856525,0.00012889413,0.000199078,0.0000017508772],"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":[0.0046751513,0.00045029615,0.8974053,0.000055231427,0.0013775368,5.6667074e-7,0.0016362146,0.00036535005,0.014048182,0.000027257825,0.010573116,0.069385745],"study_design_scores_gemma":[0.004258916,0.00998483,0.96119714,0.00011481989,0.00003976535,0.0000025427087,0.0011899101,0.0001449613,0.02013283,0.000270095,0.0023604147,0.00030378436],"about_ca_topic_score_codex":0.00021294042,"about_ca_topic_score_gemma":0.00024919974,"teacher_disagreement_score":0.06908196,"about_ca_system_score_codex":0.0012323677,"about_ca_system_score_gemma":0.00035903195,"threshold_uncertainty_score":0.9092823},"labels":[],"label_agreement":null},{"id":"W2105980005","doi":"10.1158/1055-9965.epi-08-0713","title":"Sampling Strategies for Tissue Microarrays to Evaluate Biomarkers in Ovarian Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"HER2/EGFR in Cancer Research","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":"Women's College Hospital","funders":"National Cancer Institute","keywords":"Tissue microarray; Immunohistochemistry; Ovarian cancer; Cancer; Sampling (signal processing); Pathology; DNA microarray; Medicine; Biology; Oncology; Cancer research; Internal medicine; Gene expression; Gene; Computer science; Genetics","score_opus":0.18471134206552095,"score_gpt":0.5129714561115281,"score_spread":0.3282601140460071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105980005","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":[0.49087238,0.075989656,0.18414499,0.21985747,0.0055361046,0.018815411,0.00035826376,0.00050151325,0.0039242217],"genre_scores_gemma":[0.893752,0.0043582865,0.08362607,0.00915886,0.0014155717,0.00538007,0.0003871944,0.00015934599,0.0017626128],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9953862,0.00076568703,0.0011637688,0.0011356617,0.0002700813,0.0012786221],"domain_scores_gemma":[0.99777704,0.0006221771,0.0002987145,0.0005887637,0.00028692017,0.0004263793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0055711684,0.000412,0.0010102886,0.0006204989,0.00015633558,0.000029161634,0.0003247891,0.00045580132,0.00058418285],"category_scores_gemma":[0.0010827394,0.00039812937,0.0002706156,0.0007940899,0.00019894962,0.0001988756,0.000059164693,0.00036300137,0.000033201304],"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":[0.006352814,0.0003113674,0.083988406,0.0006894276,0.0013217417,0.000025850175,0.0006579036,0.0010991713,0.29397416,0.001575926,0.058847196,0.55115604],"study_design_scores_gemma":[0.013004325,0.004014009,0.7472987,0.0057872757,0.0008798278,0.00006220382,0.0012418703,0.003253568,0.01925872,0.06036375,0.14313072,0.0017049874],"about_ca_topic_score_codex":0.0025141998,"about_ca_topic_score_gemma":0.002315417,"teacher_disagreement_score":0.66331035,"about_ca_system_score_codex":0.0011348553,"about_ca_system_score_gemma":0.0014170735,"threshold_uncertainty_score":0.99984705},"labels":[],"label_agreement":null},{"id":"W2106883129","doi":"10.1158/1055-9965.epi-12-1037","title":"Single-Nucleotide Polymorphisms in <i>Aldo-Keto</i> and <i>Carbonyl Reductase</i> Genes Are Not Associated with Acute Cardiotoxicity after Daunorubicin Chemotherapy","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":23,"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; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Cardiotoxicity; Anthracycline; Daunorubicin; Single-nucleotide polymorphism; Pharmacogenetics; Myeloid leukemia; Pharmacology; Medicine; Cancer research; Leukemia; Biology; Internal medicine; Oncology; Chemotherapy; Breast cancer; Cancer; Genetics; Genotype; Gene","score_opus":0.0341524919937571,"score_gpt":0.30287684671197745,"score_spread":0.26872435471822037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106883129","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":[0.98068017,0.012012117,0.00031767724,0.005104931,0.00046932505,0.0010682589,0.00006122389,0.00010663713,0.00017967456],"genre_scores_gemma":[0.99001914,0.00255652,0.0009262148,0.005221497,0.00049948005,0.00030798608,0.00015798821,0.000073587296,0.00023757355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967835,0.000780454,0.0007027569,0.0006820448,0.00022148127,0.00082977844],"domain_scores_gemma":[0.998362,0.00028734506,0.00052497006,0.0004223674,0.000094613664,0.00030871306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00197912,0.00044014657,0.0011339416,0.00021754934,0.000098317636,0.000012233402,0.00009640432,0.0005265546,0.000054425233],"category_scores_gemma":[0.0001655623,0.0003930363,0.00028156926,0.0004076114,0.00041181437,0.00031366927,0.000041386105,0.00037391772,0.0000035063567],"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":[0.0021087774,0.00028212953,0.53877383,0.000047195725,0.0014336682,0.000027679882,0.00022647397,0.0000031684913,0.4411726,0.000011516269,0.00079943554,0.015113499],"study_design_scores_gemma":[0.004073505,0.00031370888,0.7189329,0.000873037,0.00062172057,0.00013433587,0.00009266366,0.00004422766,0.27305725,0.00021995424,0.0011871128,0.00044956917],"about_ca_topic_score_codex":0.0002810732,"about_ca_topic_score_gemma":0.0002980806,"teacher_disagreement_score":0.18015905,"about_ca_system_score_codex":0.000625701,"about_ca_system_score_gemma":0.000119072196,"threshold_uncertainty_score":0.9998522},"labels":[],"label_agreement":null},{"id":"W2107354201","doi":"10.1158/1055-9965.epi-11-1196","title":"Differences in Natural History between Breast Cancers in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers and Effects of MRI Screening-MRISC, MARIBS, and Canadian Studies Combined","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Institute for Health and Care Research; Canadian Breast Cancer Research Alliance; Royal Marsden NHS Foundation Trust; Cancer Research UK; Breast Cancer Alliance","keywords":"Natural history; Medicine; Oncology; Breast cancer; Internal medicine; Mutation; Gynecology; Genetics; Cancer; Biology; Gene","score_opus":0.02785963121578441,"score_gpt":0.30847684716659857,"score_spread":0.2806172159508142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107354201","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":[0.7951744,0.2031403,0.00009326198,0.0006597147,0.00050469517,0.00037391056,0.000029287135,0.0000048575193,0.000019527673],"genre_scores_gemma":[0.99168605,0.0069352477,0.000694149,0.00025343517,0.00009645881,0.00015885825,0.0001008814,0.000016250351,0.000058664995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981719,0.00047325666,0.00044458112,0.00043123183,0.00006246496,0.00041653728],"domain_scores_gemma":[0.9990991,0.00027552372,0.00024887818,0.0001525116,0.00005725026,0.00016675203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097192137,0.00021856492,0.00047240604,0.00022306637,0.0000610637,0.0000035005933,0.00008442563,0.0002465935,0.000003454342],"category_scores_gemma":[0.00024702447,0.0002210312,0.000043525204,0.00012573993,0.0006110439,0.00003157932,0.0000757657,0.00014954248,1.06070175e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013411624,0.000010097498,0.98107153,0.00018200785,0.0005065976,0.0000014066661,0.0005800459,0.000011380166,0.0022121852,0.000042629166,0.0012634908,0.013984529],"study_design_scores_gemma":[0.0014136384,0.00013692128,0.99502945,0.00023602766,0.00010614217,0.00001243478,0.0005400359,0.00010162908,0.000992376,0.0003691077,0.000822606,0.00023964199],"about_ca_topic_score_codex":0.02522776,"about_ca_topic_score_gemma":0.11914552,"teacher_disagreement_score":0.19651161,"about_ca_system_score_codex":0.0007195214,"about_ca_system_score_gemma":0.00028404838,"threshold_uncertainty_score":0.98126334},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2107677612","doi":"10.1158/1055-9965.epi-10-0307","title":"Trends in Kaposi's Sarcoma Survival Disparities in the United States: 1980 through 2004","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Viral-associated cancers and disorders","field":"Medicine","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":"Université de Montréal","funders":"","keywords":"Medicine; Sarcoma; Epidemiology; Incidence (geometry); Survival analysis; Demography; Hazard ratio; Relative survival; Cancer; Proportional hazards model; Survival rate; Internal medicine; Cancer registry; Pathology; Confidence interval","score_opus":0.054249928311270366,"score_gpt":0.3780697279870078,"score_spread":0.32381979967573743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107677612","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":[0.953152,0.006623121,0.00028123448,0.036261078,0.0011179358,0.00050934707,0.000037761234,0.00006159952,0.0019558964],"genre_scores_gemma":[0.9896117,0.0029151498,0.00032769845,0.0049153925,0.00015018023,0.0003063028,0.0010568089,0.000029598192,0.00068717025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996951,0.0010471595,0.0007233872,0.00046238516,0.00016223114,0.00065382896],"domain_scores_gemma":[0.99865514,0.0005536821,0.00027220126,0.00038601996,0.000055285327,0.000077654324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026426525,0.00025819548,0.00061695214,0.00039254516,0.0000963141,0.000011115426,0.00022072662,0.00038946746,0.000254948],"category_scores_gemma":[0.00042127536,0.00019509504,0.0002210814,0.0010737521,0.0003668712,0.00015479574,0.00003508829,0.0007106189,0.00000750758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008153626,0.00028061616,0.9543732,0.00005360942,0.00020207682,0.000018870922,0.00071515073,0.00012697582,0.00026238742,0.002713783,0.025092598,0.015345368],"study_design_scores_gemma":[0.0053545902,0.0002759791,0.94941866,0.00022541767,0.00013650034,0.0000094098195,0.0012398104,0.0009007653,0.000032205808,0.022448607,0.019688629,0.00026940004],"about_ca_topic_score_codex":0.025378497,"about_ca_topic_score_gemma":0.041514926,"teacher_disagreement_score":0.036459673,"about_ca_system_score_codex":0.00027601552,"about_ca_system_score_gemma":0.00013769208,"threshold_uncertainty_score":0.9811116},"labels":[],"label_agreement":null},{"id":"W2108184788","doi":"10.1158/1055-9965.epi-04-0490","title":"The Association of Measured Breast Tissue Characteristics with Mammographic Density and Other Risk Factors for Breast Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":339,"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; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Breast tissue; Biopsy; Medicine; Autopsy; Breast biopsy; Mammography; Breast density; MAMMOGRAPHIC DENSITY; Risk factors for breast cancer; Mammary gland; Cancer; Pathology; Oncology; Internal medicine","score_opus":0.020830567460555626,"score_gpt":0.3082804293373084,"score_spread":0.2874498618767528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108184788","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":[0.9874846,0.0027737748,0.0018971355,0.005989709,0.00024493967,0.000771806,0.000740785,0.000044709643,0.000052546897],"genre_scores_gemma":[0.9976952,0.0010044301,0.00051890063,0.00019433314,0.00020513854,0.00011028131,0.000043100157,0.00002339792,0.00020522987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984848,0.0002671858,0.00045142943,0.00031257176,0.00013401695,0.00035000124],"domain_scores_gemma":[0.9980516,0.00062480505,0.000771468,0.00018816759,0.0002497607,0.00011419553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014396355,0.00019435721,0.00047638154,0.00011412017,0.00018163126,0.000012948243,0.000072083065,0.0001540101,0.000018248249],"category_scores_gemma":[0.00021488761,0.00012653122,0.00017857896,0.00021796636,0.0002749606,0.0001352776,0.000016118884,0.00013719975,4.921704e-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":[0.00085412373,0.00005302078,0.80308926,0.000055751705,0.00097091764,2.0964498e-7,0.000041893265,0.0000019787758,0.00035481082,0.00006694479,0.00052928086,0.19398181],"study_design_scores_gemma":[0.0010706505,0.00011854152,0.9936289,0.00027039275,0.0007495452,0.000046581914,0.00005455706,0.0001674412,0.00026918607,0.0004183785,0.0030705645,0.00013522273],"about_ca_topic_score_codex":0.00042646774,"about_ca_topic_score_gemma":0.00087248744,"teacher_disagreement_score":0.19384658,"about_ca_system_score_codex":0.00015445106,"about_ca_system_score_gemma":0.0000826008,"threshold_uncertainty_score":0.5159793},"labels":[],"label_agreement":null},{"id":"W2108355221","doi":"10.1158/1055-9965.928.13.6","title":"Variation in Estradiol, Estradiol Precursors, and Estrogen-related Products in Nipple Aspirate Fluid from Normal Premenopausal Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":51,"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":"National Cancer Institute; National Institutes of Health; National Center for Research Resources; Breast Cancer Research Foundation","keywords":"Estrogen; Variation (astronomy); Endocrinology; Medicine; Internal medicine; Chemistry; Gynecology","score_opus":0.03764979711022368,"score_gpt":0.3191740053451661,"score_spread":0.2815242082349424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108355221","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":[0.98443675,0.011038948,0.00029971782,0.002282277,0.0005401845,0.0012355348,0.000040221737,0.000062741936,0.00006361684],"genre_scores_gemma":[0.99504447,0.0018309895,0.001972849,0.00018682607,0.00017914585,0.00042090664,0.00025920855,0.000033747536,0.0000718811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969702,0.00041587377,0.0010035904,0.00082722463,0.00012766162,0.0006554879],"domain_scores_gemma":[0.99895066,0.00013741742,0.0003453347,0.0003177472,0.0000490242,0.00019984397],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015759098,0.00031037224,0.00074190344,0.00027893035,0.000055670705,0.000010316141,0.00010544358,0.00038332614,0.00013693326],"category_scores_gemma":[0.0003495111,0.00030540724,0.00006877202,0.0004601943,0.00018181467,0.00029684464,0.000037410555,0.0003784108,0.000007971384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015392918,0.0003214743,0.9516793,0.00013495178,0.00043581388,0.00003777761,0.0015432384,0.0009732161,0.025236698,0.00052315457,0.0001647912,0.0174103],"study_design_scores_gemma":[0.005575954,0.0007012273,0.9815861,0.000510224,0.00012403118,0.000039613325,0.00008821921,0.00051845715,0.0008492428,0.009159794,0.0005495044,0.00029761234],"about_ca_topic_score_codex":0.008068785,"about_ca_topic_score_gemma":0.0012709583,"teacher_disagreement_score":0.029906828,"about_ca_system_score_codex":0.0012439577,"about_ca_system_score_gemma":0.0005023198,"threshold_uncertainty_score":0.9999398},"labels":[],"label_agreement":null},{"id":"W2108457914","doi":"10.1158/1055-9965.epi-07-0470","title":"A Rapid Outcomes Ascertainment System Improves the Quality of Prognostic and Pharmacogenetic Outcomes from Observational Studies","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Treatments and Mutations","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":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Cancer Institute and Hospital, Chinese Academy of Medical Sciences; Massachusetts General Hospital","keywords":"Observational study; Medicine; Data quality; Quality assurance; Exact test; Clinical trial; Data collection; Intensive care medicine; Oncology; Internal medicine; Statistics; Pathology","score_opus":0.26249248259935504,"score_gpt":0.4849340158107057,"score_spread":0.22244153321135068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108457914","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":[0.9310423,0.054970425,0.00024429517,0.011875029,0.00050777505,0.001195273,0.00007583165,0.000040925803,0.000048145575],"genre_scores_gemma":[0.9923295,0.0036965278,0.0018321967,0.000918976,0.00006537109,0.00073064526,0.00011818814,0.000013553729,0.00029506473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781376,0.00061772176,0.0008313502,0.00035667125,0.00016402843,0.00021645632],"domain_scores_gemma":[0.99686086,0.0021311778,0.0005258406,0.0002464827,0.0001579996,0.00007764507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018955,0.0002036672,0.0007805466,0.000055267737,0.00019220701,0.0000022761412,0.00007466225,0.00008261959,0.000037726684],"category_scores_gemma":[0.00068499683,0.000119424985,0.00022396406,0.000097797296,0.0004055134,0.00006190478,0.00004863756,0.00008098978,0.0000021944688],"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":[0.00017358953,0.00010882976,0.97870606,0.0002083465,0.005276975,0.000002705629,0.0004307462,0.000005900901,0.0009423092,0.0002132681,0.0010464184,0.012884859],"study_design_scores_gemma":[0.0021556688,0.00014021194,0.9942308,0.00019618485,0.0012935833,0.0000069469406,0.0006180736,0.0001224851,0.00017977854,0.0006457996,0.00030669518,0.00010375949],"about_ca_topic_score_codex":0.00058715715,"about_ca_topic_score_gemma":0.0000717665,"teacher_disagreement_score":0.061287176,"about_ca_system_score_codex":0.000257437,"about_ca_system_score_gemma":0.00019614348,"threshold_uncertainty_score":0.48700094},"labels":[],"label_agreement":null},{"id":"W2108891940","doi":"10.1158/1055-9965.epi-14-0533","title":"Family History of Colorectal Cancer Is Not Associated with Colorectal Cancer Survival Regardless of Microsatellite Instability Status","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","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":"University of Toronto; Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Colorectal cancer; Microsatellite instability; Family history; Medicine; Oncology; Internal medicine; Cancer; Hazard ratio; Proportional hazards model; Population; Confidence interval; Allele; Biology; Genetics; Microsatellite","score_opus":0.07089954084751511,"score_gpt":0.3416305917688151,"score_spread":0.2707310509213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108891940","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":[0.9744956,0.018590853,0.0002786849,0.0006337228,0.003290272,0.0013109796,0.0004624794,0.00007580021,0.0008616414],"genre_scores_gemma":[0.9930584,0.003599725,0.0010498787,0.0005781607,0.0001434824,0.00061270053,0.0001589719,0.000080467114,0.0007182337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99436384,0.0015900714,0.0015561485,0.0010700457,0.00048512232,0.0009347646],"domain_scores_gemma":[0.9951408,0.0013546037,0.0017579737,0.00050910277,0.0009178703,0.00031965825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027718663,0.00054544705,0.00197791,0.00024432817,0.0000717216,0.0000035057833,0.00028438176,0.0006730305,0.00073715986],"category_scores_gemma":[0.0012833561,0.00047997336,0.0004586041,0.00046611053,0.001786291,0.00011250449,0.00011690739,0.00047535432,0.0000027813196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071898485,0.00028114734,0.797927,0.000435261,0.0016186178,0.0000016325627,0.0005779376,0.00009839981,0.17223401,0.000029936928,0.0040380326,0.015568134],"study_design_scores_gemma":[0.0038242056,0.001497003,0.9304761,0.0010444631,0.0008406481,0.000003246235,0.00010062854,0.00065306656,0.05522671,0.00021780432,0.0056604957,0.00045561252],"about_ca_topic_score_codex":0.010376948,"about_ca_topic_score_gemma":0.008912453,"teacher_disagreement_score":0.13254908,"about_ca_system_score_codex":0.0042695613,"about_ca_system_score_gemma":0.002616637,"threshold_uncertainty_score":0.9997652},"labels":[],"label_agreement":null},{"id":"W2109204441","doi":"10.1158/1055-9965.epi-14-1426","title":"Inherited Genetic Variants Associated with Occurrence of Multiple Primary Melanoma","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; BC Cancer Agency; CARE Canada; Cancer Care Ontario","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Melanoma; Genetics; Biology; Primary (astronomy); Medicine","score_opus":0.0737916263574329,"score_gpt":0.32885381751648485,"score_spread":0.25506219115905193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109204441","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":[0.985056,0.0031130929,0.007986552,0.00091938674,0.0007394497,0.0009641916,0.000039576036,0.00012033325,0.0010614496],"genre_scores_gemma":[0.99429715,0.00020131667,0.0036857491,0.00051041506,0.00006256536,0.00011989421,0.00024199749,0.000018096298,0.00086282176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981108,0.00049951265,0.0005552201,0.0003798298,0.00015815772,0.00029648506],"domain_scores_gemma":[0.9985918,0.00025059708,0.0004742714,0.00028966548,0.00020251158,0.00019119491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010135113,0.00017833636,0.0005474615,0.00015629732,0.000040038223,0.0000029320474,0.00009164882,0.00017440587,0.000107027365],"category_scores_gemma":[0.00093209016,0.00014991777,0.00010825925,0.00030447918,0.00018096017,0.000052948137,0.00004877255,0.00013057556,0.000012764904],"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":[0.0023147431,0.00038236062,0.9339602,0.00014962266,0.0014314121,0.00006413379,0.00014081672,0.00009957378,0.00287441,0.000026743632,0.015784834,0.042771142],"study_design_scores_gemma":[0.0041446984,0.001277182,0.9870243,0.0004844327,0.0004812234,0.00010651073,0.00008403265,0.0017658578,0.0002634494,0.00056303164,0.0035893936,0.00021586873],"about_ca_topic_score_codex":0.0002550728,"about_ca_topic_score_gemma":0.0002611416,"teacher_disagreement_score":0.05306411,"about_ca_system_score_codex":0.00031387273,"about_ca_system_score_gemma":0.00023315378,"threshold_uncertainty_score":0.6113469},"labels":[],"label_agreement":null},{"id":"W2109553229","doi":"10.1158/1055-9965.epi-10-0055","title":"Increased Cancer Predisposition in Family Members of Colorectal Cancer Patients Harboring the p.V600E <i>BRAF</i> Mutation: a Population-Based Study","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Memorial University of Newfoundland; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Microsatellite instability; Colorectal cancer; Medicine; Cancer; Internal medicine; Germline mutation; MUTYH; Oncology; Family history; Population; V600E; Mutation; Carcinogenesis; Cancer research; Genetics; Biology; Microsatellite; Gene; Allele","score_opus":0.026259444810035077,"score_gpt":0.3490882937278352,"score_spread":0.3228288489178001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109553229","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":[0.991677,0.0015279128,0.000061621206,0.0010303314,0.0024727848,0.0030050576,0.000096998374,0.000057263424,0.00007102266],"genre_scores_gemma":[0.995443,0.00009809282,0.0006191264,0.0005246872,0.00019759293,0.0028203323,0.00022291641,0.000045901514,0.00002836551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964404,0.0008523897,0.0011604136,0.0006886855,0.0003733607,0.00048472616],"domain_scores_gemma":[0.99755615,0.0007741501,0.00078579015,0.00039105627,0.0003401462,0.00015271881],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001643661,0.00034575394,0.0007401985,0.00027314006,0.00014487129,0.000008989541,0.0002323097,0.00033188908,0.00044744904],"category_scores_gemma":[0.0007112299,0.0002804246,0.00022813499,0.0006378362,0.00022434,0.00013595262,0.00005719931,0.0005135555,0.0000019982729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017336656,0.000561923,0.97284895,0.000113641545,0.00034332715,0.0000030856645,0.00026677226,0.0013336054,0.015299802,0.000009238701,0.00039693728,0.0070890216],"study_design_scores_gemma":[0.0042713825,0.00067366107,0.9870023,0.00037812066,0.00045615825,0.0000013894745,0.00014600306,0.0034673635,0.0031019913,0.00018138319,0.00007743197,0.00024282152],"about_ca_topic_score_codex":0.023133911,"about_ca_topic_score_gemma":0.029483296,"teacher_disagreement_score":0.014153314,"about_ca_system_score_codex":0.0007193727,"about_ca_system_score_gemma":0.0006300101,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W2109740164","doi":"10.1158/1055-9965.epi-04-0202","title":"Macrophage Scavenger Receptor 1 <i>999C&amp;gt;T</i> (R293X) Mutation and Risk of Prostate Cancer","year":2005,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"GDF15 and Related Biomarkers","field":"Medicine","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":"Montreal General Hospital; Centre Hospitalier Universitaire Sainte-Justine; McGill University and Génome Québec Innovation Centre; McGill University; Université de Montréal; McGill University Health Centre","funders":"National Cancer Institute; McGill University","keywords":"Prostate cancer; Scavenger receptor; Macrophage; Scavenger; Cancer research; Mutation; Chemistry; Internal medicine; Cancer; Medicine; Biochemistry; Radical; Gene; Cholesterol","score_opus":0.06138262272863407,"score_gpt":0.40560653554979753,"score_spread":0.3442239128211635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109740164","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":[0.0024620763,0.9916254,0.00007770328,0.0006678796,0.0015145148,0.0028801847,0.00048539258,0.00009819016,0.00018861146],"genre_scores_gemma":[0.00009223696,0.98917496,0.0032242239,0.00012330261,0.0004989335,0.00086367544,0.001429809,0.00012809731,0.004464761],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99315006,0.0023160207,0.0022967504,0.0012287751,0.00024522003,0.0007631894],"domain_scores_gemma":[0.9950519,0.0007946184,0.002931044,0.00062616076,0.00023255406,0.00036368292],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0032453686,0.00083688373,0.0034349074,0.0005329093,0.00016737016,0.000009959755,0.00020272729,0.001728077,0.00084414135],"category_scores_gemma":[0.00068897207,0.0006387444,0.0011649337,0.0006252901,0.0007258399,0.00013925845,0.00011252877,0.0009200046,0.00007093032],"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":[0.000412533,0.000112733476,0.00486018,0.010333262,0.0048155165,0.000011063282,0.00007611968,0.000004168922,0.00004217714,0.000008749095,0.015200339,0.96412313],"study_design_scores_gemma":[0.0017223044,0.00021601519,0.0030910613,0.030093025,0.011119308,0.00014193941,0.00002365607,0.00003416452,0.00001704983,0.00014945115,0.95278835,0.00060369645],"about_ca_topic_score_codex":0.0004610524,"about_ca_topic_score_gemma":0.00017613146,"teacher_disagreement_score":0.96351945,"about_ca_system_score_codex":0.0005889232,"about_ca_system_score_gemma":0.0006745945,"threshold_uncertainty_score":0.9996064},"labels":[],"label_agreement":null},{"id":"W2109765314","doi":"10.1158/1055-9965.epi-083-3","title":"p53 Codon 72 Polymorphism and Cervical Neoplasia","year":2004,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"McGill University","funders":"Centre International de Recherche sur le Cancer","keywords":"Odds ratio; Confidence interval; Meta-analysis; Cervical cancer; Genotype; Oncology; Internal medicine; Biology; Publication bias; Cancer; Genetics; Medicine; Gene","score_opus":0.16797065017234244,"score_gpt":0.4811541985201529,"score_spread":0.3131835483478105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109765314","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":[0.000013587831,0.9924405,0.0003336772,0.0024095876,0.0007991561,0.0018879245,0.00006986305,0.00011009416,0.0019356011],"genre_scores_gemma":[0.00006941546,0.9943342,0.00061612617,0.00055796176,0.00081928633,0.00070095237,0.00071169157,0.00010228636,0.0020880548],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946479,0.0012285616,0.001474502,0.0012864661,0.00028826538,0.0010742563],"domain_scores_gemma":[0.9969656,0.00096432876,0.00058074703,0.00066531135,0.000145043,0.0006790076],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022596796,0.0006959594,0.00361043,0.00043996054,0.00018269275,0.000017793405,0.0002733791,0.0014451895,0.0037981218],"category_scores_gemma":[0.00064521044,0.0005520733,0.0010856038,0.0005028944,0.0006325025,0.00009018904,0.0002785141,0.0011528296,0.00015024925],"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":[0.00027448262,0.00008976477,0.0009714578,0.024219373,0.0011514018,0.00003976231,0.000012676582,1.8475428e-7,9.0638366e-7,0.0005625437,0.0044546193,0.9682228],"study_design_scores_gemma":[0.0018492101,0.00047064983,0.009965294,0.017725624,0.0032515747,0.00037504476,0.000010333938,0.000015573756,0.0000014124536,0.003494725,0.96230054,0.00054002006],"about_ca_topic_score_codex":0.0007019479,"about_ca_topic_score_gemma":0.00020618534,"teacher_disagreement_score":0.9676828,"about_ca_system_score_codex":0.0011361747,"about_ca_system_score_gemma":0.0016314939,"threshold_uncertainty_score":0.99985117},"labels":[],"label_agreement":null},{"id":"W2109832697","doi":"10.1158/1055-9965.epi-14-0017","title":"The Potential for Markers of Epithelial–Mesenchymal Transition to Improve Colorectal Cancer Outcomes: A Systematic Review","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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":"Immunovaccine (Canada)","funders":"","keywords":"Colorectal cancer; Epithelial–mesenchymal transition; Oncology; Medicine; Metastasis; Internal medicine; Disease; Cancer; Meta-analysis; Risk stratification; Circulating tumor cell; Bioinformatics; Biology","score_opus":0.04430967349598725,"score_gpt":0.4041702283449417,"score_spread":0.35986055484895446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109832697","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":[0.00008562399,0.9659922,0.004483675,0.0027381303,0.004042265,0.022014862,0.0005580232,0.000061935054,0.000023293955],"genre_scores_gemma":[0.00012929359,0.97047794,0.0012327017,0.0010595322,0.0004018874,0.025678802,0.00030144578,0.00013875651,0.0005796337],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9906691,0.0029153645,0.003868328,0.0011998622,0.00040528717,0.00094209716],"domain_scores_gemma":[0.99163175,0.0035867826,0.0029652063,0.0009639609,0.0005131927,0.00033910834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007237693,0.00094698457,0.0077404757,0.0002808535,0.00022443804,0.000012914927,0.00060792675,0.00089384214,0.00012558604],"category_scores_gemma":[0.0044823093,0.00059111085,0.0033706692,0.0004983971,0.00041077938,0.000054594504,0.00010755833,0.0004892889,0.000019646888],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007204309,0.00005868492,0.000030437295,0.7590233,0.004884462,0.0000016853969,0.000021049887,0.0000061769456,0.000070851,0.000022330036,0.0066950596,0.22846553],"study_design_scores_gemma":[0.0016084649,0.0021559352,0.00023142234,0.8423012,0.042421933,0.000060595376,0.000039103583,0.00023001306,0.00004248255,0.0004449418,0.10950509,0.00095881656],"about_ca_topic_score_codex":0.00018936579,"about_ca_topic_score_gemma":0.0002037453,"teacher_disagreement_score":0.22750671,"about_ca_system_score_codex":0.001164605,"about_ca_system_score_gemma":0.001316596,"threshold_uncertainty_score":0.99965405},"labels":[],"label_agreement":null},{"id":"W2109835208","doi":"10.1158/1055-9965.epi-08-0088","title":"No Reduction in C-Reactive Protein following a 12-Month Randomized Controlled Trial of Exercise in Men and Women","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":73,"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 Cancer Institute; Canadian Institutes of Health Research; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Aerobic exercise; Medicine; C-reactive protein; Body mass index; Randomized controlled trial; Internal medicine; Nephelometry; Systemic inflammation; Physical therapy; Inflammation; Gastroenterology; Immunology","score_opus":0.02351183849337261,"score_gpt":0.31917878961709906,"score_spread":0.29566695112372643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109835208","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":[0.9818257,0.0078060757,0.00009829946,0.00029475693,0.00039132405,0.008714152,0.0000024731294,0.000022490927,0.00084472325],"genre_scores_gemma":[0.9875369,0.0027259146,0.00057346624,0.000019330684,0.00015915273,0.0071062697,0.00003772815,0.000015530472,0.0018257247],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99645275,0.0014513404,0.0013102978,0.00035732394,0.00012477483,0.00030354343],"domain_scores_gemma":[0.9985051,0.00046363016,0.00066013914,0.00018147766,0.00007816046,0.000111481706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004591046,0.00019435312,0.0023530547,0.00036020152,0.000041714437,0.0000016823161,0.000049525068,0.00018741068,0.000046404628],"category_scores_gemma":[0.003498971,0.00015470263,0.00035801376,0.00019222933,0.00026214682,0.00018001394,0.000017211836,0.00011892625,0.0000013517538],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97741085,0.00030852854,0.013529281,0.0001363194,0.00061180315,0.00000934247,0.00087313296,0.000010602817,0.0030364986,0.00004724272,0.00015036754,0.0038760488],"study_design_scores_gemma":[0.9526824,0.00023845724,0.04199228,0.0011316374,0.0004567035,0.00000592783,0.00027026946,0.00050723826,0.00019897317,0.0022839739,0.00008897179,0.00014318555],"about_ca_topic_score_codex":0.00076658244,"about_ca_topic_score_gemma":0.00003760834,"teacher_disagreement_score":0.028463,"about_ca_system_score_codex":0.00020845998,"about_ca_system_score_gemma":0.00029094642,"threshold_uncertainty_score":0.630859},"labels":[],"label_agreement":null},{"id":"W2110717939","doi":"10.1158/1055-9965.epi-06-0189","title":"Interleukin-1β and Interleukin-1 Receptor Antagonist Gene Polymorphisms and Gastric Cancer: A Meta-analysis","year":2006,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":236,"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 Cancer Institute","keywords":"Odds ratio; Meta-analysis; Cancer; Interleukin 1 receptor antagonist; Internal medicine; Oncology; Medicine; Confidence interval; Publication bias; Gastroenterology; Receptor antagonist; Antagonist; Receptor","score_opus":0.10983261953886106,"score_gpt":0.3827246982773831,"score_spread":0.27289207873852206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110717939","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":[0.0010071568,0.99494576,0.0006132831,0.00063029485,0.0011354801,0.001141733,0.00039404424,0.00009214348,0.00004008432],"genre_scores_gemma":[0.00038674564,0.9869469,0.00037934486,0.00015539824,0.00013153518,0.0013483607,0.0032666947,0.000069873895,0.0073151407],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99037343,0.004996772,0.0023148598,0.0014204987,0.000057907535,0.0008365042],"domain_scores_gemma":[0.9956761,0.0011840968,0.0022574887,0.0006881571,0.00011109122,0.000083093604],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027753443,0.0009955517,0.00594817,0.0012450521,0.00033909862,0.000038218655,0.00041584173,0.0014856856,0.0020255577],"category_scores_gemma":[0.00020093018,0.00078341854,0.002688756,0.00079899165,0.00083336374,0.0002125247,0.00029443912,0.00071104144,0.00008399164],"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":[0.00038859074,0.00008630983,0.0008172384,0.0018155221,0.30732748,0.000007473298,0.0000629799,0.0000016370818,0.0016039973,0.00014024223,0.015960842,0.6717877],"study_design_scores_gemma":[0.0005490636,0.0001708972,0.0005082465,0.00068053574,0.2226765,0.00013420013,0.000013124933,0.0000040441714,0.0003084405,0.00014479576,0.77414197,0.0006681781],"about_ca_topic_score_codex":0.0016061581,"about_ca_topic_score_gemma":0.0006279311,"teacher_disagreement_score":0.75818115,"about_ca_system_score_codex":0.00044156017,"about_ca_system_score_gemma":0.00034823868,"threshold_uncertainty_score":0.9998106},"labels":[],"label_agreement":null},{"id":"W2110764715","doi":"10.1158/1055-9965.epi-12-0484","title":"Do Breast Implants Adversely Affect Prognosis among Those Subsequently Diagnosed with Breast Cancer? Findings from an Extended Follow-Up of a Canadian Cohort","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Implant and Reconstruction","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":true,"ca_institutions":"Public Health Agency of Canada; Health Canada","funders":"Public Health Agency; Cancer Care Ontario","keywords":"Breast cancer; Medicine; Breast implant; Cohort; Proportional hazards model; Stage (stratigraphy); Implant; Cancer; Cohort study; Oncology; Internal medicine; Gynecology; Surgery","score_opus":0.04354541120487441,"score_gpt":0.3330711178123462,"score_spread":0.2895257066074718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110764715","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":[0.9923834,0.0021307427,0.00007149678,0.00067814917,0.001586428,0.0015287012,0.0014569664,0.00008526273,0.000078808196],"genre_scores_gemma":[0.9963487,0.00068987836,0.00057963014,0.00012843267,0.00043168402,0.0005915224,0.0010767947,0.000053676507,0.00009969003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966539,0.0006838948,0.0007367045,0.0006907258,0.00021175206,0.0010229866],"domain_scores_gemma":[0.9976404,0.00025330472,0.00059026387,0.00039351571,0.00019579884,0.00092676847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014405439,0.0004349162,0.001036563,0.00066778867,0.00018343572,0.000010984937,0.0001755768,0.0005168189,0.00055593095],"category_scores_gemma":[0.00003779695,0.0003458268,0.0002839479,0.00058998656,0.00046602412,0.00056691,0.000029359984,0.00030792903,0.000008943447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020113743,0.00014453258,0.90121907,0.000088602705,0.0017652765,0.000019945113,0.00019845388,0.0000019502802,0.0008595776,0.000022962224,0.0014145774,0.09225369],"study_design_scores_gemma":[0.0033166746,0.00018644531,0.98807997,0.0014738577,0.0016383193,0.0039341114,0.0002709115,0.00006124307,0.000525418,0.000077895835,0.000064791675,0.00037033958],"about_ca_topic_score_codex":0.37140918,"about_ca_topic_score_gemma":0.31357613,"teacher_disagreement_score":0.091883354,"about_ca_system_score_codex":0.00057071936,"about_ca_system_score_gemma":0.0006639085,"threshold_uncertainty_score":0.9998994},"labels":[],"label_agreement":null},{"id":"W2110830128","doi":"10.1158/1055-9965.epi-08-0928","title":"Predisposing Factors Associated with Compliance to Biennial Breast Screening among Centers with and without Nurses","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario; York University; University of Toronto","funders":"Health Research Board; Cancer Care Ontario","keywords":"Medicine; Odds ratio; Breast cancer; Confidence interval; Logistic regression; Breast cancer screening; Mammography; Family medicine; Cohort; Cancer; Demography; Cancer screening; Obstetrics; Internal medicine","score_opus":0.13618213324819958,"score_gpt":0.3991328944514923,"score_spread":0.26295076120329275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110830128","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":[0.9809179,0.0009857079,0.01426258,0.0025185305,0.0001620231,0.0008254874,0.00003093755,0.00013001265,0.00016684318],"genre_scores_gemma":[0.99414325,0.00004256081,0.0042354595,0.0011252417,0.00010314224,0.000043506177,0.00011350198,0.00002527619,0.00016808497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977371,0.00026700477,0.0004456313,0.0006789965,0.00022591978,0.0006453384],"domain_scores_gemma":[0.998685,0.00013762961,0.00037619358,0.00024009155,0.00017325844,0.00038780706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006891148,0.0003359141,0.00070569036,0.00015679012,0.00022038593,0.0000220009,0.000117418465,0.00017778904,0.000025516156],"category_scores_gemma":[0.000217718,0.00024897416,0.00009487417,0.00038788022,0.00034026365,0.00030566115,0.00002764772,0.00023670548,0.0000010376757],"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":[0.0023589667,0.000048884285,0.97432697,0.000021194914,0.00040813605,0.000008328446,0.00016817659,0.00013837198,0.0005731609,0.000015618794,0.00056752935,0.021364681],"study_design_scores_gemma":[0.0019561981,0.0012412848,0.9897968,0.0047505195,0.00038205434,0.000062204024,0.00033520628,0.00089061895,0.00013395636,0.00007661622,0.00008499112,0.0002895327],"about_ca_topic_score_codex":0.000605183,"about_ca_topic_score_gemma":0.00086215686,"teacher_disagreement_score":0.021075148,"about_ca_system_score_codex":0.00027458314,"about_ca_system_score_gemma":0.000099958124,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W2110843424","doi":"10.1158/1055-9965.epi-09-0944","title":"Alcohol and Tobacco Use Prediagnosis and Postdiagnosis, and Survival in a Cohort of Patients with Early Stage Cancers of the Oral Cavity, Pharynx, and Larynx","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario","funders":"National Cancer Institute; Sylvester Comprehensive Cancer Center, University of Miami Health Systems; Yale Cancer Center","keywords":"Medicine; Relative risk; Head and neck cancer; Survivorship curve; Confidence interval; Larynx; Cancer; Stage (stratigraphy); Surgery; Cohort; Cohort study; Smoking cessation; Head and neck; Internal medicine; Pathology","score_opus":0.04194211007689028,"score_gpt":0.343870735655473,"score_spread":0.3019286255785827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110843424","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":[0.9875738,0.009618912,0.0000043254595,0.0016071433,0.000095641946,0.00096270104,0.000108551394,0.000008062174,0.000020835123],"genre_scores_gemma":[0.98549783,0.013816714,0.00021971071,0.0003166566,0.000015657046,0.000077655684,0.00001583205,0.000009672207,0.000030267469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847376,0.00034320028,0.0004345112,0.0003872575,0.00011580795,0.00024544695],"domain_scores_gemma":[0.9989125,0.00045976875,0.00027272885,0.00016604213,0.00008777491,0.00010114902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007516649,0.00018336861,0.00074538414,0.000093413764,0.000060385737,0.0000045432885,0.000044206132,0.00012444999,0.0000068319323],"category_scores_gemma":[0.0003043436,0.00012770738,0.00004190013,0.00016547096,0.0005140431,0.00016670024,0.00007267201,0.00012937566,2.7739752e-8],"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":[0.00091642316,0.00008532266,0.9835765,0.00011616311,0.00027734027,0.000001745373,0.0002197482,0.0000011753134,0.00013525468,0.000026254738,0.00028581213,0.014358254],"study_design_scores_gemma":[0.003426246,0.00091200415,0.9941374,0.00067064125,0.00027648328,0.000002089407,0.00005862796,0.000020522517,0.00017515989,0.00009713239,0.00010851728,0.000115192015],"about_ca_topic_score_codex":0.0063247816,"about_ca_topic_score_gemma":0.0051474916,"teacher_disagreement_score":0.014243063,"about_ca_system_score_codex":0.00008916935,"about_ca_system_score_gemma":0.0000911794,"threshold_uncertainty_score":0.956122},"labels":[],"label_agreement":null},{"id":"W2110847887","doi":"10.1158/1055-9965.epi-05-0484","title":"Dairy Products and Ovarian Cancer: A Pooled Analysis of 12 Cohort Studies","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"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 Cancer Institute","keywords":"Medicine; Ovarian cancer; Relative risk; Lactose; Cohort study; Cohort; Confidence interval; Population; Cancer; Internal medicine; Gynecology; Environmental health; Food science; Biology","score_opus":0.034837782805756334,"score_gpt":0.3628900456714251,"score_spread":0.32805226286566874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110847887","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":[0.84753186,0.14824305,0.0007125456,0.001960275,0.000558026,0.000582021,0.000055442342,0.000018220158,0.00033852976],"genre_scores_gemma":[0.9806903,0.016380547,0.00056264293,0.00016415816,0.00022792487,0.0001948988,0.00035472194,0.000015907432,0.0014089246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977197,0.00062482373,0.00067010743,0.0006053223,0.000070289716,0.0003097335],"domain_scores_gemma":[0.99884933,0.000075769334,0.0005254644,0.00028773613,0.00019979807,0.00006188215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015804524,0.0001926473,0.0006822562,0.0001798019,0.000095306634,0.0000027496706,0.00009502367,0.00027730374,0.000015086522],"category_scores_gemma":[0.00024113317,0.00016239293,0.00017216016,0.00034384915,0.00031824657,0.0000066487655,0.00006795419,0.000074262476,7.562273e-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":[0.00019816955,0.00006091724,0.94420046,0.00018693817,0.013848013,0.000001138115,0.000035130306,0.00033447688,0.029394384,0.0003198551,0.007398347,0.0040221508],"study_design_scores_gemma":[0.000623337,0.00017040332,0.98593783,0.00016208009,0.004015755,0.000003533417,0.00007638248,0.0001427759,0.003909427,0.00069055497,0.004052583,0.00021534506],"about_ca_topic_score_codex":0.0016393169,"about_ca_topic_score_gemma":0.0017632876,"teacher_disagreement_score":0.1331584,"about_ca_system_score_codex":0.00006589738,"about_ca_system_score_gemma":0.00016372588,"threshold_uncertainty_score":0.6622191},"labels":[],"label_agreement":null},{"id":"W2111014150","doi":"10.1158/1055-9965.epi-130-3","title":"Association between Insulin-Like Growth Factor-I","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"LMC Diabetes & Endocrinology (Canada)","funders":"","keywords":"Endocrinology; Internal medicine; Body mass index; Waist–hip ratio; Insulin; Anthropometry; Waist; Obesity; Medicine; Insulin-like growth factor; Risk factor; Population; Growth factor","score_opus":0.05597710728402235,"score_gpt":0.3463907602329068,"score_spread":0.2904136529488845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111014150","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":[0.9680157,0.006894015,0.0053191246,0.01575426,0.0017174148,0.0009883546,0.000068488975,0.0003193238,0.00092336116],"genre_scores_gemma":[0.99048483,0.002609233,0.0023196007,0.0020751946,0.0007694465,0.00013940157,0.00045348261,0.000057163077,0.001091622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99646,0.0005258185,0.0011385325,0.00074049865,0.0003048851,0.0008302711],"domain_scores_gemma":[0.9976156,0.00055352325,0.0007603245,0.0003948922,0.0002940948,0.00038157788],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016658326,0.00039812218,0.000986006,0.00031328225,0.00019269531,0.0000121768635,0.00019383826,0.0007884691,0.00022428256],"category_scores_gemma":[0.001578697,0.00036778828,0.0004885108,0.00049323356,0.00014327695,0.00031687279,0.00007326026,0.0005336087,0.00020079699],"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":[0.00022207864,0.00012762337,0.9772255,0.000093856535,0.0015998615,0.0000071360255,0.00011920422,0.0000041020144,0.0014532016,0.0003400548,0.009085407,0.009721966],"study_design_scores_gemma":[0.0034158896,0.0004736411,0.96946234,0.00024495792,0.00068597676,0.0000083808,0.000037668848,0.000010742967,0.0022550507,0.015311535,0.0077369767,0.00035681616],"about_ca_topic_score_codex":0.0007229837,"about_ca_topic_score_gemma":0.00006731988,"teacher_disagreement_score":0.0224692,"about_ca_system_score_codex":0.0016871388,"about_ca_system_score_gemma":0.00037912902,"threshold_uncertainty_score":0.9998774},"labels":[],"label_agreement":null},{"id":"W2111248090","doi":"10.1158/1055-9965.epi-08-0508","title":"Comparison of Predictors for High-Grade Cervical Intraepithelial Neoplasia in Women with Abnormal Smears","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Mary's Hospital Centre","funders":"Cancer Research UK","keywords":"Colposcopy; Medicine; Cytology; Cervical intraepithelial neoplasia; Biopsy; Gynecology; Population; Internal medicine; Cervical cancer; Pathology; Cancer","score_opus":0.08010006782365295,"score_gpt":0.408527380484332,"score_spread":0.32842731266067904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111248090","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":[0.9911377,0.0022910205,0.002366176,0.0025009303,0.00027031743,0.0011498019,0.00004134317,0.000041268257,0.00020143125],"genre_scores_gemma":[0.99565566,0.00068991055,0.0021925282,0.00027259337,0.0002476246,0.0006826456,0.000091893824,0.000028973465,0.0001381523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973081,0.00037633118,0.00088650116,0.00048025016,0.00023846401,0.00071040296],"domain_scores_gemma":[0.9984036,0.00062173384,0.00026818938,0.0002693735,0.00016608126,0.00027103725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012901361,0.00021602718,0.00103352,0.00024988517,0.00008264208,0.0000022194715,0.00015822069,0.00030356707,0.0007679565],"category_scores_gemma":[0.00032372077,0.00017367599,0.00013468915,0.00037020445,0.0005434818,0.000091376736,0.000048268066,0.00034955397,0.000003932635],"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":[0.014990627,0.0004212415,0.9423792,0.00038251223,0.00040020136,0.000008857441,0.00048821274,0.00008836246,0.00046463398,0.00018901912,0.00301424,0.037172895],"study_design_scores_gemma":[0.005893289,0.0024351003,0.98671407,0.00013579035,0.00009044537,0.000022137525,0.00017372654,0.00074838806,0.0010823287,0.0011461553,0.0013985342,0.00016003413],"about_ca_topic_score_codex":0.00067564164,"about_ca_topic_score_gemma":0.0006569684,"teacher_disagreement_score":0.044334874,"about_ca_system_score_codex":0.00048246214,"about_ca_system_score_gemma":0.00046541975,"threshold_uncertainty_score":0.84085846},"labels":[],"label_agreement":null},{"id":"W2111392737","doi":"10.1158/1055-9965.epi-038-3","title":"Dietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies","year":2004,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":217,"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 Cancer Institute","keywords":"Medicine; Lung cancer; Relative risk; Confidence interval; Multivitamin; Cohort; Carotenoid; Cohort study; Internal medicine; Risk factor; Cancer; Zeaxanthin; Cancer prevention; Lower risk; beta-Carotene; Lutein; Vitamin; Food science; Biology","score_opus":0.08791256424351467,"score_gpt":0.45769316230748225,"score_spread":0.36978059806396757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111392737","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":[0.026084963,0.971508,0.00014122018,0.00010468137,0.00019859523,0.001450224,0.00047809197,0.000013985778,0.000020239651],"genre_scores_gemma":[0.006916465,0.99184126,0.00031883197,0.000014350793,0.000054990767,0.00042453667,0.00027289288,0.000026801314,0.0001298453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99515766,0.001962789,0.0016584435,0.00072704384,0.00014794331,0.0003461175],"domain_scores_gemma":[0.9958929,0.0012141004,0.0022412916,0.00038164,0.00018011696,0.0000899863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025243675,0.00045248153,0.0060880557,0.0010119136,0.000049115275,0.0000012867432,0.00012752945,0.00056717364,0.00006662773],"category_scores_gemma":[0.00086577085,0.0003560369,0.0011916192,0.0012541577,0.0006918751,0.00008728249,0.00011236078,0.00045933158,2.9113946e-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":[0.00022061063,0.00010092548,0.537407,0.023200406,0.09571061,0.000006305602,0.00013744437,0.000053088555,0.000009320058,0.0000122711845,0.00006584112,0.34307623],"study_design_scores_gemma":[0.0011007437,0.0002533931,0.6976971,0.06874214,0.22912046,0.000006615547,0.00014393442,0.00023134002,0.000016463613,0.0003184067,0.0019420484,0.00042734132],"about_ca_topic_score_codex":0.0045854715,"about_ca_topic_score_gemma":0.0034079496,"teacher_disagreement_score":0.34264886,"about_ca_system_score_codex":0.0005618616,"about_ca_system_score_gemma":0.00053054903,"threshold_uncertainty_score":0.99988914},"labels":[],"label_agreement":null},{"id":"W2111459346","doi":"10.1158/1055-9965.epi-14-1217","title":"Human Papillomavirus 16 E6 Antibodies in Individuals without Diagnosed Cancer: A Pooled Analysis","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Head and Neck Cancer Studies","field":"Medicine","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":"Ontario Institute for Cancer Research","funders":"National Institutes of Health; Cancer Research UK; World Health Organization","keywords":"Human papillomavirus; Medicine; Cancer; Antibody; Oncology; Virology; Internal medicine; Immunology","score_opus":0.10397887069649722,"score_gpt":0.43463656769216774,"score_spread":0.3306576969956705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111459346","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":[0.9298712,0.061695613,0.00020576878,0.005726015,0.00055452995,0.0008613314,0.00005372996,0.00012222472,0.00090959546],"genre_scores_gemma":[0.98860264,0.006572039,0.0006593147,0.0016065738,0.00027593138,0.0009021636,0.00018873482,0.00003567921,0.0011569011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99595225,0.0010424874,0.0011478831,0.00083755003,0.00025110712,0.00076874095],"domain_scores_gemma":[0.9981577,0.0002984344,0.0005396317,0.00046582991,0.00019581808,0.00034263523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030947768,0.00039810737,0.0020039044,0.00071842555,0.00015511528,0.000009970159,0.00018144115,0.00034301955,0.0002646709],"category_scores_gemma":[0.00078870344,0.00034212187,0.00045975283,0.0011266822,0.00038243993,0.00016064536,0.00011572801,0.00031489265,0.000018696815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023200194,0.00017262428,0.96167123,0.0000836163,0.005457238,0.00001877534,0.0004928045,0.000047070702,0.0006315975,0.000074226016,0.017250832,0.013867968],"study_design_scores_gemma":[0.004508986,0.00036278626,0.98339194,0.00064585934,0.0036758918,0.0000041523213,0.00043692088,0.00014085624,0.00027940748,0.0018865477,0.004307104,0.00035952387],"about_ca_topic_score_codex":0.010196123,"about_ca_topic_score_gemma":0.020068638,"teacher_disagreement_score":0.05873147,"about_ca_system_score_codex":0.00097018084,"about_ca_system_score_gemma":0.00040027048,"threshold_uncertainty_score":0.9999031},"labels":[],"label_agreement":null},{"id":"W2111520654","doi":"10.1158/1055-9965.epi-05-0465","title":"Prevalence and Clustering Patterns of Human Papillomavirus Genotypes in Multiple Infections","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Clade; Genotype; Biology; Phylogenetic tree; Odds ratio; Confidence interval; Virology; Genetics; Internal medicine; Gene; Medicine","score_opus":0.09467295348817009,"score_gpt":0.4209038828472169,"score_spread":0.32623092935904685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111520654","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":[0.9856567,0.010856108,0.001190829,0.001190003,0.00009603702,0.0005056946,0.000014526558,0.000027438009,0.00046268795],"genre_scores_gemma":[0.9946627,0.004087826,0.00043371308,0.00017644139,0.00013490987,0.00013564918,0.000019189463,0.000012260578,0.00033731275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985318,0.0002809671,0.0004963609,0.00031959862,0.00008401984,0.00028720565],"domain_scores_gemma":[0.9992169,0.00028701773,0.00013099151,0.00018991643,0.00006758191,0.0001075829],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096484605,0.00011682961,0.0003719766,0.00017889283,0.00006672799,0.0000026298835,0.00006331508,0.00014246996,0.0009231643],"category_scores_gemma":[0.00029530423,0.00010823953,0.000091276226,0.00012651106,0.00015142065,0.00009031234,0.00007807429,0.00019002143,0.000004187232],"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":[0.00019548304,0.00009936377,0.8942897,0.0004738982,0.00007551962,0.0000012421614,0.000071703005,0.00003049958,0.0030488775,0.000047249916,0.000082419596,0.10158409],"study_design_scores_gemma":[0.0014896137,0.00027317455,0.99487096,0.0002423859,0.000061406885,0.0000071242875,0.000022734785,0.0012555952,0.00073316396,0.00043263327,0.0005198759,0.00009134321],"about_ca_topic_score_codex":0.0016664556,"about_ca_topic_score_gemma":0.008351809,"teacher_disagreement_score":0.10149275,"about_ca_system_score_codex":0.00018044964,"about_ca_system_score_gemma":0.000056394507,"threshold_uncertainty_score":0.9999901},"labels":[],"label_agreement":null},{"id":"W2111574921","doi":"10.1158/1055-9965.epi-09-0555","title":"Cardiovascular Risk Factors in Adult Survivors of Pediatric Cancer—A Report from the Childhood Cancer Survivor Study","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":293,"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 Cancer Institute","keywords":"Medicine; Dyslipidemia; Odds ratio; Cancer; Body mass index; Confidence interval; Diabetes mellitus; Internal medicine; Population; Metabolic syndrome; Risk factor; Pediatrics; Disease; Obesity; Endocrinology","score_opus":0.04186125316463172,"score_gpt":0.35873927882578754,"score_spread":0.3168780256611558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111574921","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":[0.9628287,0.025018118,0.00018629307,0.003038678,0.005463612,0.0028662693,0.00043039676,0.00011635472,0.000051594387],"genre_scores_gemma":[0.9847109,0.011248646,0.00030390348,0.00040940524,0.0018981767,0.0010104568,0.00023050515,0.000096348274,0.00009165859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99020284,0.0038700968,0.0026660897,0.0015870756,0.0007831495,0.00089074275],"domain_scores_gemma":[0.9924536,0.0026951325,0.0020126519,0.0020436267,0.00046724072,0.00032778247],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009708003,0.00067555555,0.0023512705,0.00033075345,0.00023000226,0.000013235868,0.00063408184,0.000611996,0.00046815685],"category_scores_gemma":[0.0052128667,0.00051807344,0.0012629837,0.0010930512,0.0004255388,0.00020686419,0.00020436852,0.0014541869,0.0000067753067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035748936,0.0007550898,0.9827205,0.00010467319,0.0047658673,0.000025568228,0.0024500354,0.00019256401,0.00009809233,0.000009526924,0.002052954,0.006467629],"study_design_scores_gemma":[0.003317653,0.0002070538,0.98920447,0.0002715518,0.0030354387,0.000009133991,0.001669062,0.00006182885,0.00022768014,0.0005017644,0.0010156936,0.00047867728],"about_ca_topic_score_codex":0.5686839,"about_ca_topic_score_gemma":0.4391432,"teacher_disagreement_score":0.1295407,"about_ca_system_score_codex":0.00035094525,"about_ca_system_score_gemma":0.0010905114,"threshold_uncertainty_score":0.9997271},"labels":[],"label_agreement":null},{"id":"W2112290983","doi":"10.1158/1055-9965.epi-08-0630","title":"Genetic and Epigenetic Alterations of Familial Pancreatic Cancers","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; Rolfe Pancreatic Cancer Foundation","keywords":"Pancreatic cancer; Epigenetics; Adenocarcinoma; Cancer research; Biology; DNA methylation; Pancreatic disease; Pathology; Pancreatic Intraepithelial Neoplasia; Pancreas; Medicine; Gene; Cancer; Genetics; Endocrinology; Pancreatic ductal adenocarcinoma; Gene expression","score_opus":0.08961628433248807,"score_gpt":0.4014925212477618,"score_spread":0.3118762369152737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112290983","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":[0.97344404,0.019617874,0.004118352,0.0013479933,0.00019881532,0.0006986034,0.000013496532,0.000025853924,0.0005349788],"genre_scores_gemma":[0.9653465,0.020082654,0.01247889,0.00031839107,0.00015803646,0.00026821633,0.000033350774,0.00001730729,0.0012966554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791104,0.00053831696,0.0006781141,0.00037903598,0.00012241678,0.00037108953],"domain_scores_gemma":[0.9985656,0.0005850728,0.00024120479,0.00028224027,0.00012747772,0.00019836293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006984488,0.00016549774,0.00080227223,0.00016244517,0.00015273174,0.0000012792192,0.000075483425,0.00020608591,0.0002737423],"category_scores_gemma":[0.000553207,0.00014563484,0.00013353722,0.00017769654,0.0008920998,0.000044629825,0.000039923474,0.0001511079,0.00000969932],"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":[0.00033518576,0.000060508977,0.9854586,0.00013567017,0.00055386417,0.000015138872,0.00016201285,0.000021493139,0.0032542925,0.00009355972,0.002451422,0.0074582486],"study_design_scores_gemma":[0.0015215604,0.0005822789,0.99233925,0.00020634936,0.00049617054,0.00013851938,0.000057304493,0.0021369178,0.00029239693,0.0016760011,0.0004359823,0.00011727108],"about_ca_topic_score_codex":0.0012797433,"about_ca_topic_score_gemma":0.00023411744,"teacher_disagreement_score":0.008360538,"about_ca_system_score_codex":0.00021507948,"about_ca_system_score_gemma":0.0007355322,"threshold_uncertainty_score":0.59388167},"labels":[],"label_agreement":null},{"id":"W2112352881","doi":"10.1158/1055-9965.epi-13-1163","title":"A Multicenter Randomized Trial of the Effects of Exercise Dose and Type on Psychosocial Distress in Breast Cancer Patients Undergoing Chemotherapy","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":59,"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 Ottawa; Ottawa Hospital; Alberta Health Services","funders":"","keywords":"Medicine; Aerobic exercise; Breast cancer; Depression (economics); Psychosocial; Internal medicine; Physical therapy; Randomized controlled trial; Clinical endpoint; Anxiety; Confidence interval; Cancer; Distress; Clinical trial; Repeated measures design; Psychiatry; Clinical psychology","score_opus":0.012693817478673198,"score_gpt":0.3274629302982706,"score_spread":0.3147691128195974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112352881","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":[0.9921582,0.0019104991,0.000034375025,0.0017387165,0.0022540144,0.0018298526,0.00001529266,0.00000808388,0.000050991403],"genre_scores_gemma":[0.9954632,0.0037424022,0.00002397729,0.00031432265,0.00010981911,0.00025875587,0.00001595151,0.000015308595,0.000056290777],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9978683,0.0010127882,0.00054145843,0.00027275446,0.000117580916,0.00018710489],"domain_scores_gemma":[0.99804395,0.0011340255,0.00047834739,0.00020519957,0.000085821805,0.00005263192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000976841,0.00015348046,0.0008359814,0.00007512053,0.000029894136,0.0000017269103,0.00007914901,0.00016347715,0.00003178394],"category_scores_gemma":[0.00058784307,0.000103472245,0.00024367968,0.00016191442,0.00027449976,0.00003243174,0.00002478626,0.000120236065,2.923147e-7],"study_design_candidate":"randomized_trial","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":[0.5612505,0.00029991358,0.38955387,0.0006247068,0.00022542568,1.2709253e-7,0.00031667665,0.000002050181,0.00021969873,0.00003683094,0.0003150131,0.04715518],"study_design_scores_gemma":[0.46019706,0.00039429968,0.5348586,0.003234931,0.0002609079,2.1830456e-7,0.00002216312,0.000117240445,0.00023798828,0.00054962834,0.00003994264,0.00008702651],"about_ca_topic_score_codex":0.0013640553,"about_ca_topic_score_gemma":0.0010340925,"teacher_disagreement_score":0.14530471,"about_ca_system_score_codex":0.00011219203,"about_ca_system_score_gemma":0.0000728697,"threshold_uncertainty_score":0.42194757},"labels":[],"label_agreement":null},{"id":"W2112387917","doi":"10.1158/1055-9965.epi-06-0082","title":"Obesity, Adipokines, and Prostate Cancer in a Prospective Population-Based Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Medicine; Adipokine; Prostate cancer; Adiponectin; Body mass index; Internal medicine; Odds ratio; Confidence interval; Obesity; Leptin; Oncology; Prospective cohort study; Population; Cancer; Gynecology; Insulin resistance","score_opus":0.020537083817894694,"score_gpt":0.33873888527240475,"score_spread":0.31820180145451005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112387917","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":[0.9797139,0.015745623,0.00015854118,0.0013913652,0.00030553606,0.002430973,0.000036715097,0.00008117264,0.0001361766],"genre_scores_gemma":[0.9964183,0.00034359586,0.00038047382,0.00022981147,0.00029180374,0.0012073995,0.00021380444,0.00002476491,0.0008900631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977586,0.00045674507,0.00072986423,0.00056309067,0.00013387908,0.0003577988],"domain_scores_gemma":[0.9989988,0.00017945486,0.00034055335,0.00023051015,0.00013561962,0.00011505933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009662567,0.00024253059,0.0006133291,0.00027450616,0.00010066707,0.000008319907,0.00006012585,0.00013499516,0.00013526093],"category_scores_gemma":[0.00027681264,0.00021427454,0.00010572213,0.0003681022,0.000099804405,0.00015156744,0.000026130123,0.0001256583,0.0000030630233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006076764,0.0004922949,0.98735523,0.00012638477,0.00017856092,0.000008979656,0.00008473214,0.0003523153,0.00011345491,0.00021969937,0.00049156364,0.00996909],"study_design_scores_gemma":[0.0036269373,0.00015610625,0.98927176,0.00030147843,0.00043837738,0.000002958795,0.0000664486,0.00075819367,0.00004192334,0.0046468973,0.0004924492,0.00019645922],"about_ca_topic_score_codex":0.011406495,"about_ca_topic_score_gemma":0.01253714,"teacher_disagreement_score":0.016704386,"about_ca_system_score_codex":0.0002950198,"about_ca_system_score_gemma":0.0002643378,"threshold_uncertainty_score":0.9951766},"labels":[],"label_agreement":null},{"id":"W2112466112","doi":"10.1158/1055-9965.epi-04-0862","title":"Associations between Plasma Insulin-Like Growth Factor Proteins and C-Peptide and Quality of Life in Patients with Metastatic Colorectal Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"McGill University; Jewish General Hospital","funders":"National Cancer Institute","keywords":"Medicine; Internal medicine; Quality of life (healthcare); Colorectal cancer; Body mass index; Oncology; Nausea; Appetite; Cancer; Cohort; Chemotherapy; Endocrinology","score_opus":0.05800661949954542,"score_gpt":0.33962345998528887,"score_spread":0.2816168404857434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112466112","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":[0.99379635,0.0026533478,0.00016453266,0.0014779491,0.00009335984,0.0013574089,0.00038528928,0.000032194697,0.00003958891],"genre_scores_gemma":[0.9957159,0.0007536455,0.0026299972,0.00027674812,0.000075322045,0.00019968495,0.00027451947,0.000026702197,0.000047488724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968996,0.0007472242,0.0012188654,0.00051163475,0.00020788523,0.00041480572],"domain_scores_gemma":[0.99781257,0.0007106429,0.00085285865,0.00015520431,0.00021025958,0.0002584436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011986239,0.00028367256,0.0011686134,0.00025597244,0.000085678344,0.000005728632,0.00007611199,0.00023351223,0.000038379254],"category_scores_gemma":[0.0012286671,0.00023391261,0.0001020984,0.000318292,0.0003087856,0.00026981597,0.000054276454,0.00028422425,0.0000016676931],"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":[0.0009824757,0.0001977419,0.98965997,0.00015080234,0.000776926,3.3721747e-7,0.00025384483,0.0000030025428,0.00028772673,0.000057996036,0.00022209398,0.007407089],"study_design_scores_gemma":[0.005729904,0.000602844,0.99216866,0.00020961552,0.00027261995,3.769691e-7,0.000040408355,0.000060833037,0.0003602922,0.00023945015,0.00009082905,0.0002241522],"about_ca_topic_score_codex":0.002754027,"about_ca_topic_score_gemma":0.002273949,"teacher_disagreement_score":0.007182937,"about_ca_system_score_codex":0.00031916494,"about_ca_system_score_gemma":0.00027184316,"threshold_uncertainty_score":0.9538679},"labels":[],"label_agreement":null},{"id":"W2112486895","doi":"10.1158/1055-9965.epi-04-0866","title":"Celecoxib Treatment Alters the Gene Expression Profile of Normal Colonic Mucosa","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":37,"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 Cancer Institute; National Institutes of Health","keywords":"Celecoxib; Colorectal cancer; Medicine; Placebo; Clinical trial; Gene expression; Internal medicine; Biomarker; Oncology; Gastroenterology; Cancer; Gene; Pathology; Biology","score_opus":0.028182302389841592,"score_gpt":0.32989605548782275,"score_spread":0.30171375309798115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112486895","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":[0.98767406,0.0077772373,0.0007132198,0.001416302,0.00075681985,0.001237701,0.000017898796,0.000045798006,0.00036097624],"genre_scores_gemma":[0.99494714,0.000630603,0.0017431874,0.00021324583,0.00049725745,0.0006328802,0.00022233883,0.000023688131,0.0010896467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978675,0.000667897,0.0006186595,0.00033213018,0.00011210267,0.00040168178],"domain_scores_gemma":[0.9986452,0.0003979996,0.0004490524,0.00035062147,0.000068600515,0.0000885324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012111359,0.00020946466,0.00052036083,0.000090370944,0.00012097303,0.0000022039003,0.0000930455,0.00020597488,0.00025492557],"category_scores_gemma":[0.00011270627,0.00013131902,0.000280998,0.00013356189,0.00023377709,0.000059707967,0.000029991574,0.00011306421,0.00001929407],"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":[0.0022266428,0.00046332664,0.5941444,0.0002836263,0.0005887495,0.000028136938,0.00015676269,0.00012351794,0.33141732,0.00022124208,0.041757204,0.02858908],"study_design_scores_gemma":[0.0040102284,0.0013249,0.51897466,0.00038441017,0.0005100822,0.000040357503,0.000044869776,0.0009966184,0.46278527,0.0007315519,0.009956465,0.00024061702],"about_ca_topic_score_codex":0.00053238356,"about_ca_topic_score_gemma":0.00016123701,"teacher_disagreement_score":0.13136794,"about_ca_system_score_codex":0.0002858773,"about_ca_system_score_gemma":0.00021406924,"threshold_uncertainty_score":0.53550345},"labels":[],"label_agreement":null},{"id":"W2112575569","doi":"10.1158/1055-9965.epi-05-0027","title":"Statins and Cancer Development","year":2005,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","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":"University of Toronto","funders":"","keywords":"Pravastatin; HMG-CoA reductase; Reductase; Mevalonate pathway; Statin; Hydroxymethylglutaryl-CoA reductase; Cholesterol synthesis; Lovastatin; Cancer; Cholesterol; Atorvastatin; Coenzyme A; Cancer research; Pharmacology; Medicine; Enzyme; Chemistry; Internal medicine; Biochemistry","score_opus":0.08436201003499254,"score_gpt":0.4200574833282387,"score_spread":0.33569547329324617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112575569","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":[0.000047072663,0.9892783,0.00076648867,0.00018565849,0.008474859,0.00091861153,0.0001673726,0.000030125919,0.00013150506],"genre_scores_gemma":[0.0000017722213,0.9777633,0.0029983749,0.00034651146,0.011882422,0.001595845,0.0013386405,0.00008424098,0.0039888904],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959846,0.0008806511,0.0011937752,0.001170058,0.00010666288,0.0006642569],"domain_scores_gemma":[0.99819547,0.00011866831,0.0008886538,0.00047537228,0.000086316926,0.00023550495],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013743266,0.00064767466,0.0017166776,0.00016439808,0.0001656754,0.000014035763,0.00030037956,0.0009131624,0.00018328021],"category_scores_gemma":[0.00019844018,0.0005765926,0.00048830424,0.00014596856,0.00026376065,0.00000959893,0.00022328524,0.00028411378,0.000018009885],"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":[0.000036417237,0.000029768424,0.00023656277,0.001612008,0.0010528408,7.75165e-8,0.000020579851,0.0000023099026,0.00003850668,0.000030940766,0.074038185,0.9229018],"study_design_scores_gemma":[0.00044178995,0.000051674997,0.0003391054,0.0027099529,0.00080537767,0.000015806261,0.000010456397,0.0000028797463,0.000010445961,0.000058058173,0.9949523,0.00060214294],"about_ca_topic_score_codex":0.00015991517,"about_ca_topic_score_gemma":0.0010592637,"teacher_disagreement_score":0.9222997,"about_ca_system_score_codex":0.00022229108,"about_ca_system_score_gemma":0.0013233108,"threshold_uncertainty_score":0.99966854},"labels":[],"label_agreement":null},{"id":"W2112686636","doi":"10.1158/1055-9965.epi-09-1059","title":"Screen-Film Mammographic Density and Breast Cancer Risk: A Comparison of the Volumetric Standard Mammogram Form and the Interactive Threshold Measurement Methods","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Women's College Hospital; Cancer Research UK","keywords":"Breast cancer; Confidence interval; Mammography; Odds ratio; Medicine; MAMMOGRAPHIC DENSITY; Logistic regression; Cancer; Nuclear medicine; Gynecology; Internal medicine","score_opus":0.03621884533242385,"score_gpt":0.3809540350450167,"score_spread":0.3447351897125928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112686636","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":[0.96051675,0.01923417,0.011531916,0.0060720067,0.0008694162,0.0013918218,0.00009061225,0.000042546562,0.00025074993],"genre_scores_gemma":[0.9944613,0.0013418295,0.0036887561,0.00023731346,0.000085474414,0.00013728523,0.000007411469,0.000017649834,0.000022982942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733466,0.0009039009,0.0006663558,0.00046285987,0.00026364432,0.0003685613],"domain_scores_gemma":[0.9976105,0.00070686615,0.0007727745,0.00041707093,0.0003408844,0.00015192064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063539166,0.00025985832,0.00083174784,0.00028080732,0.00025744393,0.000022643606,0.00017318994,0.00017552175,0.000029337989],"category_scores_gemma":[0.00077177025,0.00014809561,0.00041568396,0.0007413132,0.0017431747,0.00018820947,0.000147158,0.00065822294,2.0420907e-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":[0.0020188813,0.00006337837,0.6911609,0.000059888356,0.00092272,3.3736296e-7,0.0001067646,0.0000016143715,0.00051333813,0.00024620583,0.00049296295,0.304413],"study_design_scores_gemma":[0.0026876128,0.0001364621,0.98416114,0.00042575138,0.0011939412,0.00009635792,0.00023178033,0.0023065223,0.0006787407,0.007474284,0.00045533667,0.00015207958],"about_ca_topic_score_codex":0.0021794264,"about_ca_topic_score_gemma":0.0027969806,"teacher_disagreement_score":0.30426094,"about_ca_system_score_codex":0.00008752428,"about_ca_system_score_gemma":0.00011974674,"threshold_uncertainty_score":0.64228},"labels":[],"label_agreement":null},{"id":"W2112705736","doi":"10.1158/1055-9965.epi-06-0195","title":"p53 Alterations and Protein Accumulation in Benign Breast Tissue and Breast Cancer Risk: A Cohort Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related Molecular Pathways","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":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Medicine; Breast disease; Odds ratio; Oncology; Internal medicine; Case-control study; Carcinogenesis; Cancer; Cohort; Confidence interval; Breast biopsy; Pathology; Mammography","score_opus":0.028222145767161342,"score_gpt":0.3610324123401168,"score_spread":0.3328102665729554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112705736","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":[0.9826098,0.006997057,0.0025016323,0.0035294967,0.00020451241,0.0038313894,0.00015476842,0.000068687266,0.00010262705],"genre_scores_gemma":[0.99616694,0.0006499217,0.00081833865,0.00009425824,0.00021740576,0.0014755263,0.00020925971,0.000036165628,0.00033220375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99703336,0.00091310247,0.0007561335,0.0007690415,0.0001413347,0.00038704943],"domain_scores_gemma":[0.9989177,0.00013241968,0.00039544175,0.00030608114,0.00011684459,0.00013150931],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016508244,0.00027502936,0.0006077526,0.00027350226,0.0001539508,0.000015223177,0.000057057478,0.0002702652,0.0001272418],"category_scores_gemma":[0.00012633325,0.00026895033,0.00007105643,0.00032611834,0.00017902105,0.00017611853,0.000055910095,0.0003041677,0.0000034450948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004352102,0.00024047842,0.9644564,0.00005928079,0.00029733262,0.000012947852,0.00008776906,0.0002932489,0.006619337,0.00012667554,0.0005166182,0.026854748],"study_design_scores_gemma":[0.0030813206,0.00020554439,0.99085075,0.00040390147,0.00044230584,0.000118169155,0.000052566676,0.0025804257,0.0001611214,0.0015876737,0.00028693132,0.00022931679],"about_ca_topic_score_codex":0.015740247,"about_ca_topic_score_gemma":0.018657321,"teacher_disagreement_score":0.02662543,"about_ca_system_score_codex":0.00042941078,"about_ca_system_score_gemma":0.00020696032,"threshold_uncertainty_score":0.9999763},"labels":[],"label_agreement":null},{"id":"W2112751286","doi":"10.1158/1055-9965.epi-14-1270","title":"Network-Based Integration of GWAS and Gene Expression Identifies a <i>HOX</i> -Centric Network Associated with Serous Ovarian Cancer Risk","year":2015,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"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; Women's College Hospital; Princess Margaret Cancer Centre; Simon Fraser University; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Cancer Institute; Cancer Research UK; Francis Crick Institute","keywords":"Hox gene; Genome-wide association study; Ovarian cancer; Cancer; Serous fluid; Oncology; Gene; Medicine; Biology; Internal medicine; Genetics; Gene expression; Single-nucleotide polymorphism; Genotype","score_opus":0.04533348376457255,"score_gpt":0.33480170763787237,"score_spread":0.28946822387329985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112751286","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":[0.0006685134,0.97109336,0.025803631,0.000051067553,0.00088263623,0.0012161719,0.00022351506,0.000024329998,0.00003677013],"genre_scores_gemma":[0.0010107349,0.9899283,0.0037392168,0.00015476333,0.00077548117,0.0005048272,0.0035707352,0.000073909236,0.00024200603],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952074,0.0017832117,0.0014218828,0.00076236814,0.00015570015,0.000669435],"domain_scores_gemma":[0.995717,0.00025096347,0.0030260761,0.00055772864,0.00026065978,0.00018756314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033801754,0.00062082533,0.0018207338,0.00010818272,0.00018590565,0.000022612487,0.00030948527,0.0012564247,0.0000212958],"category_scores_gemma":[0.0002471196,0.00047957487,0.00038899298,0.00039405847,0.00030074318,0.000016507802,0.00017867266,0.0004111441,0.0000015465928],"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":[0.00064775255,0.00011144079,0.0067149494,0.002260979,0.0031596639,0.0000032895955,0.000039011375,0.007261496,0.00013723815,0.000029529441,0.069737576,0.9098971],"study_design_scores_gemma":[0.0070863236,0.0020804186,0.0029976172,0.06580906,0.013798291,0.000058331196,0.00006569354,0.0068734926,0.00036405085,0.007314131,0.8897144,0.0038381391],"about_ca_topic_score_codex":0.00019482005,"about_ca_topic_score_gemma":0.00077766663,"teacher_disagreement_score":0.9060589,"about_ca_system_score_codex":0.0001841465,"about_ca_system_score_gemma":0.000733195,"threshold_uncertainty_score":0.9997656},"labels":[],"label_agreement":null},{"id":"W2112838811","doi":"10.1158/1055-9965.epi-13-1081","title":"The Surgeon General Report on Smoking and Health 50 Years Later: Breast Cancer and the Cost of Increasing Caution","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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":"University of Ottawa","funders":"","keywords":"Medicine; Breast cancer; Surgeon general; Cohort; Disease; Public health; Causality (physics); Family medicine; Passive smoking; Meaning (existential); Epidemiology; Cancer; Environmental health; Pathology; Psychology; Internal medicine","score_opus":0.09019748466717076,"score_gpt":0.4385384032917871,"score_spread":0.34834091862461636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112838811","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":[0.0047171516,0.9880306,0.00007502328,0.004390653,0.0010175474,0.0016368498,0.000083460414,0.000022142103,0.000026586653],"genre_scores_gemma":[0.0053105378,0.9930471,0.000040120667,0.00039142548,0.00042822078,0.00035821763,0.00019043314,0.00004075851,0.00019314159],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99549884,0.0019267452,0.0013996174,0.0005907495,0.0001598987,0.00042413233],"domain_scores_gemma":[0.995998,0.0012351965,0.002087311,0.00046256284,0.00006758092,0.00014933075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00975894,0.00034933162,0.002161568,0.00013461601,0.0002566787,0.000014560084,0.00010420937,0.000364641,0.000019270921],"category_scores_gemma":[0.00028296802,0.00019500084,0.00042821583,0.00016269936,0.00072160014,0.000040067593,0.000078751604,0.0004508045,5.290217e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042814933,0.0000122172105,0.04656731,0.0021481111,0.0008579267,0.0000035343528,0.00002884982,0.0000016240664,3.8060207e-7,0.00019539156,0.0022786788,0.9474778],"study_design_scores_gemma":[0.0012389643,0.00009288467,0.30256164,0.016475284,0.0015871873,0.0006255005,0.000013883066,0.00006930666,2.958912e-7,0.00026669676,0.676853,0.00021537494],"about_ca_topic_score_codex":0.01889398,"about_ca_topic_score_gemma":0.001556608,"teacher_disagreement_score":0.94726247,"about_ca_system_score_codex":0.00057470374,"about_ca_system_score_gemma":0.0005908618,"threshold_uncertainty_score":0.9876393},"labels":[],"label_agreement":null},{"id":"W2113547910","doi":"10.1158/1055-9965.epi-09-0836","title":"Plasma Levels of Acid-Labile Subunit, Free Insulin-Like Growth Factor-I, and Prostate Cancer Risk: A Prospective Study","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","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":false,"ca_institutions":"McGill University Health Centre","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; U.S. Public Health Service","keywords":"IGFBP3; Prostate cancer; Quartile; Relative risk; Internal medicine; Prospective cohort study; Medicine; Endocrinology; Insulin-like growth factor; Oncology; Cancer; Confidence interval; Growth factor; Receptor","score_opus":0.03505232122284857,"score_gpt":0.3330280546838031,"score_spread":0.2979757334609545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113547910","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":[0.98888314,0.0049527586,0.00011512179,0.00092208013,0.0013426483,0.0029858083,0.0005175748,0.000121477395,0.00015940837],"genre_scores_gemma":[0.9948219,0.002199609,0.0013724542,0.00018396987,0.00022495937,0.0007797182,0.000047380123,0.00006727644,0.0003027031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99584097,0.0008151094,0.0013048961,0.0010346108,0.00028741496,0.0007170021],"domain_scores_gemma":[0.99676144,0.00049609365,0.0010635918,0.0007574948,0.0005431571,0.00037820078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001921074,0.0005329442,0.0012991994,0.00038077906,0.00023041581,0.000012457394,0.00029800314,0.00051448453,0.00030421122],"category_scores_gemma":[0.0022037907,0.00044603006,0.00026859896,0.00055048906,0.0006918361,0.00033763208,0.00022249941,0.00097378524,0.000008082778],"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":[0.001561802,0.00055834564,0.95261973,0.00018063272,0.0013302296,0.000008600817,0.001476238,8.902348e-7,0.021190163,0.000081939244,0.0014765534,0.019514853],"study_design_scores_gemma":[0.006740864,0.0016845933,0.97690666,0.00017691257,0.0007114834,0.00001742989,0.0005063561,0.00013579322,0.008542918,0.003807193,0.00036862033,0.0004011512],"about_ca_topic_score_codex":0.003105031,"about_ca_topic_score_gemma":0.0026154567,"teacher_disagreement_score":0.024286933,"about_ca_system_score_codex":0.00021240766,"about_ca_system_score_gemma":0.00044414113,"threshold_uncertainty_score":0.99979913},"labels":[],"label_agreement":null},{"id":"W2113569868","doi":"10.1158/1055-9965.epi-13-0476","title":"An Assessment of the Shared Allelic Architecture between Type II Diabetes and Prostate Cancer","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research; Cancer Research UK","keywords":"Prostate cancer; Allele; Type 2 diabetes; Medicine; Single-nucleotide polymorphism; Oncology; Cancer; Internal medicine; Genotype; Glycemic; Prostate; Diabetes mellitus; Genetics; Biology; Endocrinology; Gene","score_opus":0.023381455075841315,"score_gpt":0.3602534695745364,"score_spread":0.3368720144986951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113569868","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":[0.85095805,0.14711592,0.00012256354,0.00070097233,0.00040020284,0.0005793194,0.00006937349,0.000010818019,0.00004276037],"genre_scores_gemma":[0.9692149,0.027286917,0.0012495301,0.0008148088,0.00037998255,0.00051370123,0.0002388699,0.000028644843,0.000272634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794644,0.000653735,0.00042957804,0.0004986489,0.00008907256,0.00038253522],"domain_scores_gemma":[0.9988801,0.000051091636,0.0003658876,0.0004466562,0.00013983426,0.00011643167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070938194,0.00021491364,0.0003919638,0.000043551954,0.00014275411,0.000009681486,0.00027077395,0.00024282023,0.00023220739],"category_scores_gemma":[0.000107401545,0.00015426126,0.0001303085,0.00012278899,0.0002863727,0.00001603631,0.00015705268,0.00014018331,9.280963e-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":[0.000024280293,0.000034185945,0.67180645,0.00007312641,0.00043573856,3.2816693e-8,0.00006198954,0.0000830856,0.07459767,0.000023750217,0.0054832725,0.24737643],"study_design_scores_gemma":[0.00062203244,0.00033225873,0.9483268,0.00012436497,0.0001725064,3.7878834e-7,0.00003291752,0.00018536586,0.012860551,0.0029054612,0.034179717,0.00025759664],"about_ca_topic_score_codex":0.00024172633,"about_ca_topic_score_gemma":0.0001742126,"teacher_disagreement_score":0.2765204,"about_ca_system_score_codex":0.000033433065,"about_ca_system_score_gemma":0.00017648564,"threshold_uncertainty_score":0.6290592},"labels":[],"label_agreement":null},{"id":"W2113627743","doi":"10.1158/1055-9965.epi-06-0792","title":"Reproducibility of Serum Sex Steroid Assays in Men by RIA and Mass Spectrometry","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":189,"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","funders":"National Cancer Institute; National Institutes of Health; Université Laval","keywords":"Estrone; Chemistry; Chromatography; Steroid; Androsterone; Androstenedione; Dihydrotestosterone; Testosterone (patch); Glucuronide; Etiocholanolone; Mass spectrometry; Gas chromatography–mass spectrometry; Coefficient of variation; Androgen; Endocrinology; Metabolite; Hormone; Biochemistry; Medicine","score_opus":0.04184885910640477,"score_gpt":0.3697461311366942,"score_spread":0.3278972720302894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113627743","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":[0.9566821,0.03469232,0.001337634,0.0045880447,0.00022175458,0.0005666937,0.000019843195,0.00002456465,0.0018670446],"genre_scores_gemma":[0.9943759,0.0019367548,0.0021712084,0.00009649166,0.00014872552,0.000023578994,0.000019480907,0.000011406227,0.0012164642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971872,0.00045301215,0.00074404123,0.0011597566,0.000099991244,0.00035600972],"domain_scores_gemma":[0.9986185,0.0003227926,0.00028394605,0.00061042135,0.000077590696,0.000086756685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013030948,0.00016267087,0.00071925303,0.00015683006,0.000042220046,0.0000010284784,0.000057245183,0.00016036184,0.00005364168],"category_scores_gemma":[0.001726862,0.00012968169,0.000105043735,0.00026930848,0.00038799047,0.000060510247,0.00006205515,0.00019053974,0.0000016415684],"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":[0.00053975545,0.00010494022,0.9048279,0.00013876325,0.00036865976,0.000004035081,0.00011810757,4.599593e-7,0.06933399,0.000034325934,0.0020656174,0.02246347],"study_design_scores_gemma":[0.00095654605,0.00029560667,0.97346365,0.00011370906,0.00009562733,0.00000846657,0.00041388886,0.000019739386,0.017553736,0.0064523807,0.0005163435,0.00011032712],"about_ca_topic_score_codex":0.00022616392,"about_ca_topic_score_gemma":0.00010385312,"teacher_disagreement_score":0.068635754,"about_ca_system_score_codex":0.00018683523,"about_ca_system_score_gemma":0.000043987406,"threshold_uncertainty_score":0.5288266},"labels":[],"label_agreement":null},{"id":"W2113816732","doi":"10.1158/1055-9965.epi-08-0137","title":"The Performance of Human Papillomavirus High-Risk DNA Testing in the Screening and Diagnostic Settings","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"University of British Columbia","funders":"National Cancer Institute","keywords":"Papanicolaou stain; Receiver operating characteristic; Medicine; Papanicolaou Test; Internal medicine; Cervical intraepithelial neoplasia; Cervical cancer; Human papillomavirus; Oncology; Gastroenterology; Cancer","score_opus":0.09441738144186072,"score_gpt":0.38502643118286817,"score_spread":0.29060904974100743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113816732","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":[0.9841622,0.012060083,0.000067971596,0.0027684753,0.000075491684,0.00053743774,0.0000050565845,0.000017675946,0.00030558254],"genre_scores_gemma":[0.99140495,0.0073048915,0.00047740235,0.00037998144,0.00014375051,0.00017593011,0.000016123424,0.000012429152,0.00008451407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977134,0.0008381548,0.000570723,0.0003000719,0.00017581345,0.00040186555],"domain_scores_gemma":[0.9933248,0.0059268405,0.00028652803,0.0002782707,0.000109832254,0.00007369935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041623833,0.00013739958,0.0003730346,0.000081031874,0.0005071884,0.0000048778816,0.00016899256,0.000113977156,0.000059938204],"category_scores_gemma":[0.003908988,0.0000818021,0.00008522361,0.00032864918,0.0006830113,0.00006895778,0.00007589849,0.00039131573,0.000001925924],"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":[0.00020832167,0.0000274847,0.8512531,0.000098811426,0.00007369249,0.000005876635,0.00014046201,0.000009230189,0.0005092052,0.00006604477,0.0008059577,0.14680183],"study_design_scores_gemma":[0.0011418991,0.0005000993,0.9953685,0.00022048746,0.00008453626,0.000032789798,0.00012435,0.00074617064,0.00033753025,0.0009024921,0.0004588831,0.00008227333],"about_ca_topic_score_codex":0.0020258317,"about_ca_topic_score_gemma":0.00044878965,"teacher_disagreement_score":0.14671956,"about_ca_system_score_codex":0.00006991046,"about_ca_system_score_gemma":0.00008444731,"threshold_uncertainty_score":0.46797064},"labels":[],"label_agreement":null},{"id":"W2113882443","doi":"10.1158/1055-9965.epi-08-1045","title":"Physical Activity and Health Outcomes Three Months After Completing a Physical Activity Behavior Change Intervention: Persistent and Delayed Effects","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":129,"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":"Medicine; Physical therapy; Quality of life (healthcare); Physical activity; Body mass index; Breast cancer; Randomized controlled trial; Internal medicine; Cancer","score_opus":0.09458806018455464,"score_gpt":0.4161604381327768,"score_spread":0.3215723779482222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113882443","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":[0.98038983,0.0059352955,0.0008033212,0.010688045,0.00037302932,0.0016961079,0.00002407837,0.0000742608,0.000016043829],"genre_scores_gemma":[0.99726325,0.00023026956,0.00013010291,0.00085941836,0.000312205,0.00110849,0.000026873902,0.00001918187,0.000050202107],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99792117,0.00059469684,0.0002353361,0.0006499074,0.0001424352,0.00045646465],"domain_scores_gemma":[0.9988071,0.00031363705,0.00029565286,0.00026632161,0.000050868544,0.00026642135],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078171305,0.00031214042,0.00097068143,0.00009223119,0.00014376015,0.000011992074,0.00005900118,0.00014688903,0.0000128521815],"category_scores_gemma":[0.00008111051,0.00026908205,0.0005007987,0.00011880868,0.00020507569,0.00018480196,0.0000762811,0.0003000803,0.0000018036579],"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":[0.0009798491,0.00068494776,0.40358403,0.00028019154,0.00030954563,0.000009823204,0.0005272769,1.9605449e-7,0.0004670984,0.000034301444,0.00010520639,0.5930175],"study_design_scores_gemma":[0.0016465873,0.0015634894,0.9934377,0.00048663263,0.0005505274,0.000019564903,0.000088536064,0.0014639787,0.000102795704,0.00035429007,0.00006931031,0.00021658742],"about_ca_topic_score_codex":0.0031473134,"about_ca_topic_score_gemma":0.0033587078,"teacher_disagreement_score":0.592801,"about_ca_system_score_codex":0.00031570223,"about_ca_system_score_gemma":0.00004490237,"threshold_uncertainty_score":0.99997616},"labels":[],"label_agreement":null},{"id":"W2114216938","doi":"10.1158/1055-9965.438.13.3","title":"Insulin-Like Growth Factor (IGF)-1, IGF-Binding Protein-3, and Pancreatic Cancer in Male Smokers","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","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; Jewish General Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Pancreatic cancer; Internal medicine; Odds ratio; Confounding; Confidence interval; Gastroenterology; Cohort; Cancer; Case-control study; Cohort study; Risk factor; Logistic regression; Insulin-like growth factor; Prospective cohort study; Endocrinology; Growth factor; Receptor","score_opus":0.044152861320355466,"score_gpt":0.3314872300911157,"score_spread":0.28733436877076024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114216938","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":[0.97451925,0.01668876,0.00038786375,0.0054531037,0.00070415525,0.0017714137,0.00005409082,0.00011489689,0.00030648426],"genre_scores_gemma":[0.98882025,0.0063762907,0.001653615,0.0010447705,0.00020672717,0.0007780577,0.00010106438,0.00006890493,0.00095028785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961442,0.00048320356,0.001195424,0.0009914442,0.00022349054,0.0009622393],"domain_scores_gemma":[0.99824977,0.00028043057,0.0005092958,0.00038937203,0.00016643495,0.00040466912],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011713045,0.0005204368,0.0011569681,0.0005181374,0.00017183504,0.000015847332,0.00018277878,0.00056942867,0.00033642614],"category_scores_gemma":[0.00093040214,0.00047238165,0.0002674084,0.0005959585,0.00039551637,0.00037503242,0.00010187234,0.0005765595,0.000033892527],"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":[0.0010729232,0.00022177222,0.9570409,0.0005175281,0.00067303,0.00005893211,0.00039975444,0.000014102528,0.027851848,0.0004043459,0.0010183139,0.010726559],"study_design_scores_gemma":[0.007324584,0.00069056643,0.9758528,0.0021817714,0.00041650757,0.00007637471,0.00028681784,0.00010631859,0.0061231353,0.0053570895,0.00088829244,0.0006957408],"about_ca_topic_score_codex":0.003702413,"about_ca_topic_score_gemma":0.00084192865,"teacher_disagreement_score":0.021728713,"about_ca_system_score_codex":0.0011497018,"about_ca_system_score_gemma":0.0005856992,"threshold_uncertainty_score":0.9997728},"labels":[],"label_agreement":null},{"id":"W2114262826","doi":"10.1158/1055-9965.epi-14-1062","title":"Development and Validation of a Melanoma Risk Score Based on Pooled Data from 16 Case–Control Studies","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"National Cancer Institute; Medical Research Council; Cancer Research UK","keywords":"Medicine; Confidence interval; Odds ratio; Imputation (statistics); Logistic regression; Statistics; Missing data; Receiver operating characteristic; Family history; Odds; Sunburn; Risk assessment; Demography; Internal medicine; Computer science; Mathematics; Dermatology","score_opus":0.1640874951957774,"score_gpt":0.38680189629201067,"score_spread":0.22271440109623328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114262826","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":[0.9736783,0.00724973,0.015358516,0.0017502289,0.0006936468,0.0009175202,0.00011653496,0.000061034836,0.00017448755],"genre_scores_gemma":[0.99097633,0.0003115516,0.007426125,0.0005181789,0.00011125794,0.00010166259,0.00034694266,0.000015528964,0.00019242779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978505,0.0006876831,0.0006154689,0.00051887374,0.00013326922,0.00019424567],"domain_scores_gemma":[0.998139,0.00059261295,0.0004946931,0.0005082666,0.00012359183,0.0001418218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002456424,0.00018134383,0.0005579492,0.0001703036,0.00007883839,0.0000040491345,0.000087486136,0.00012321294,0.000071166396],"category_scores_gemma":[0.0014629051,0.00015125054,0.00006243819,0.0001106659,0.00012097315,0.00006591191,0.000084422565,0.000110104156,0.000010536949],"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":[0.007440948,0.0004366942,0.58166414,0.0003619179,0.008864078,0.0003758853,0.00058481167,0.00031359599,0.00077247806,0.00010239205,0.027183518,0.37189952],"study_design_scores_gemma":[0.06300293,0.0066295327,0.6596832,0.0055752494,0.021923328,0.0013658641,0.009798305,0.11638372,0.016870065,0.015367941,0.081008665,0.0023911814],"about_ca_topic_score_codex":0.00049643905,"about_ca_topic_score_gemma":0.00092661363,"teacher_disagreement_score":0.36950833,"about_ca_system_score_codex":0.0003073184,"about_ca_system_score_gemma":0.00015683299,"threshold_uncertainty_score":0.61678183},"labels":[],"label_agreement":null},{"id":"W2114345365","doi":"10.1158/1055-9965.epi-05-0723","title":"<i>CYP2A6</i>Genotype, Phenotype, and the Use of Nicotine Metabolites as Biomarkers during<i>Ad libitum</i>Smoking","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":63,"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; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Cotinine; CYP2A6; Nicotine; Genotype; Smoking cessation; Chemistry; Pharmacology; Medicine; Internal medicine; Metabolism; Biochemistry; Gene; Pathology","score_opus":0.05116828803561132,"score_gpt":0.33121958951900743,"score_spread":0.28005130148339613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114345365","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":[0.9771984,0.018074118,0.0004956057,0.0026132604,0.0005460354,0.0007701069,0.000016516171,0.00008660661,0.00019930265],"genre_scores_gemma":[0.9951271,0.0019278006,0.0010670191,0.00051351637,0.00016799233,0.00013035249,0.00016599565,0.000039429335,0.0008608313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717015,0.0007725973,0.0009164247,0.00052045187,0.0002076751,0.00041272514],"domain_scores_gemma":[0.9978347,0.00077896897,0.0006679177,0.0004507345,0.00017342053,0.0000942622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017661541,0.00028151882,0.0007525258,0.00019846522,0.00017960009,0.000015791504,0.0001176218,0.00028726456,0.00011555913],"category_scores_gemma":[0.00070394215,0.00020485587,0.00029167428,0.00038019338,0.0007402128,0.00020565327,0.00007584376,0.00022733162,0.0000022476402],"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":[0.0024063087,0.00013582964,0.96004635,0.00016918707,0.00078582164,0.0000033375104,0.000074998534,0.000027741187,0.021740418,0.0018310724,0.0022954359,0.010483523],"study_design_scores_gemma":[0.0046451003,0.00009232442,0.9741635,0.00031294406,0.0014579269,0.000033783315,0.000046918067,0.00012318934,0.011180037,0.0035075836,0.0042238594,0.00021288605],"about_ca_topic_score_codex":0.0021785514,"about_ca_topic_score_gemma":0.00013083324,"teacher_disagreement_score":0.017928613,"about_ca_system_score_codex":0.00010853193,"about_ca_system_score_gemma":0.00010790342,"threshold_uncertainty_score":0.835378},"labels":[],"label_agreement":null},{"id":"W2114687869","doi":"10.1158/1055-9965.epi-14-0056","title":"The Use of Metformin in Patients with Prostate Cancer and the Risk of Death","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"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 Health Centre; McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; Jewish General Hospital; McGill University","keywords":"Medicine; Metformin; Prostate cancer; Cancer; Internal medicine; Relative risk; Cohort; Confidence interval; Cohort study; Odds ratio; Type 2 diabetes; Oncology; Diabetes mellitus; Gynecology; Endocrinology; Insulin","score_opus":0.0205800999674389,"score_gpt":0.28372478879817414,"score_spread":0.2631446888307352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114687869","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":[0.8599286,0.13898101,0.00033750062,0.00009884417,0.00015369835,0.0004481396,0.00003849832,0.0000020936677,0.000011575372],"genre_scores_gemma":[0.84071666,0.15799099,0.0005747033,0.00018936937,0.000057774756,0.00029286603,0.000045376044,0.000015631353,0.00011662204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801844,0.0009610898,0.00044823182,0.00026505272,0.000073330826,0.00023382617],"domain_scores_gemma":[0.9986242,0.00032697877,0.0005868607,0.00030911286,0.00011675047,0.000036114085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020210354,0.00013594315,0.00034526156,0.00003212744,0.00007060653,0.000004068642,0.00013205416,0.00011152292,0.000005585173],"category_scores_gemma":[0.0005823,0.000070579335,0.00009073831,0.00008608608,0.0005347645,0.00001015092,0.000057827914,0.000082029386,1.4069005e-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":[0.0019056202,0.000023491584,0.76404727,0.00002784194,0.000312807,1.6130922e-8,0.000037350994,0.00013775208,0.00011835784,0.0002519364,0.00049676717,0.23264079],"study_design_scores_gemma":[0.0043190382,0.00026774526,0.92739266,0.000116531985,0.0002441649,2.2300615e-7,0.000024461247,0.00035859962,0.002667244,0.0023169839,0.06214143,0.00015090902],"about_ca_topic_score_codex":0.0009014803,"about_ca_topic_score_gemma":0.0014026978,"teacher_disagreement_score":0.23248988,"about_ca_system_score_codex":0.000017232791,"about_ca_system_score_gemma":0.000066340166,"threshold_uncertainty_score":0.2878142},"labels":[],"label_agreement":null},{"id":"W2115190089","doi":"10.1158/1055-9965.epi-05-0971","title":"Loss of Heterozygosity at the<i>BRCA1</i>and<i>BRCA2</i>Loci Detected in Ductal Lavage Fluid from<i>BRCA</i>Gene Mutation Carriers and Controls","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Institute of Cancer Research","funders":"Royal Marsden NHS Foundation Trust","keywords":"Loss of heterozygosity; Mutation; Cancer research; Gene; Biology; Allele; Genetics","score_opus":0.013017790525130666,"score_gpt":0.28745470938897316,"score_spread":0.27443691886384247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115190089","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":[0.9652456,0.03060838,0.0020264613,0.0009564978,0.0003389599,0.00056189956,0.00019942588,0.000016172908,0.00004661039],"genre_scores_gemma":[0.99539375,0.0018642191,0.0010996535,0.00029673765,0.00020532997,0.00023044096,0.00074807054,0.000028459202,0.00013332278],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972914,0.0007961205,0.0007260488,0.00070926466,0.00010478405,0.00037237865],"domain_scores_gemma":[0.99874485,0.00024450323,0.0004420449,0.00038962573,0.00010483772,0.000074147254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028488,0.00026712104,0.00042817573,0.00009264882,0.0001479527,0.000009216148,0.0001641548,0.00036192304,0.0000327929],"category_scores_gemma":[0.00028930884,0.00024340962,0.00012257813,0.0001821552,0.0007402454,0.000017599188,0.00015623932,0.00013225104,0.0000015741315],"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":[0.0006903595,0.000043228127,0.30937302,0.00003548867,0.00040466932,0.000006418634,0.00010806057,0.00046173143,0.6820665,0.00004226137,0.0024061557,0.004362129],"study_design_scores_gemma":[0.0041946797,0.00030225224,0.66381323,0.00008359784,0.0002622439,0.00008016322,0.0001203021,0.0006699579,0.32155913,0.004600113,0.003811119,0.00050323294],"about_ca_topic_score_codex":0.002566042,"about_ca_topic_score_gemma":0.008003171,"teacher_disagreement_score":0.36050737,"about_ca_system_score_codex":0.00023106688,"about_ca_system_score_gemma":0.00014114183,"threshold_uncertainty_score":0.9925956},"labels":[],"label_agreement":null},{"id":"W2115369621","doi":"10.1158/1055-9965.epi-08-1101","title":"HER-2/neu Overexpression as a Predictor for the Transition from <i>In situ</i> to Invasive Breast Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institutes of Health","keywords":"Ductal carcinoma; Progesterone receptor; Breast cancer; Estrogen receptor; Oncology; Pathology; Immunohistochemistry; Medicine; Internal medicine; Univariate analysis; Cancer; Biology; Multivariate analysis","score_opus":0.06706633794037227,"score_gpt":0.42468656363259105,"score_spread":0.3576202256922188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115369621","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":[0.762265,0.017548185,0.009128156,0.20146422,0.0014054043,0.0068541775,0.0007566132,0.00015165999,0.00042653087],"genre_scores_gemma":[0.97388554,0.004183535,0.001677133,0.015116153,0.0013231348,0.002945218,0.00027553187,0.000051785373,0.0005419867],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99663085,0.0006956102,0.00077033276,0.0008574136,0.00029115475,0.00075462356],"domain_scores_gemma":[0.99721164,0.0014963812,0.00023508884,0.0005422038,0.00019101467,0.00032365674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018212853,0.0003107274,0.0006802579,0.00019109757,0.00016266556,0.000014243464,0.0002897556,0.00037978307,0.00066426856],"category_scores_gemma":[0.0007137045,0.00023338791,0.00031650515,0.00040229698,0.00016034684,0.00016177865,0.00004438401,0.00039244205,0.000027994654],"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":[0.018971834,0.0006389376,0.10705288,0.000403681,0.0010334456,0.000033319295,0.001671594,0.0008128058,0.3237166,0.00026000777,0.21854766,0.3268572],"study_design_scores_gemma":[0.006142048,0.001262156,0.9430333,0.00565189,0.000432038,0.000036153266,0.0003534039,0.0013147778,0.011402327,0.016857928,0.013038165,0.00047583497],"about_ca_topic_score_codex":0.0037071607,"about_ca_topic_score_gemma":0.0024943938,"teacher_disagreement_score":0.8359804,"about_ca_system_score_codex":0.0009167632,"about_ca_system_score_gemma":0.0007115186,"threshold_uncertainty_score":0.9517283},"labels":[],"label_agreement":null},{"id":"W2115469426","doi":"10.1158/1055-9965.epi-11-0455","title":"Assessment of Hepatocyte Growth Factor in Ovarian Cancer Mortality","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Liver physiology and pathology","field":"Medicine","cited_by":32,"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 Health Services","funders":"National Health and Medical Research Council; Cancer Research UK; National Cancer Institute; Fred C. and Katherine B. Andersen Foundation; Ovarian Cancer Research Fund","keywords":"Ovarian cancer; Hepatocyte growth factor; Oncology; Medicine; Hepatocyte; Cancer; Internal medicine; Biology; Cancer research; Genetics","score_opus":0.16450609465902247,"score_gpt":0.42906228613777725,"score_spread":0.26455619147875475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115469426","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":[0.9927856,0.0021685073,0.0015244591,0.00047893304,0.00093833747,0.000622237,0.000045894692,0.00003030065,0.0014057619],"genre_scores_gemma":[0.9946538,0.0013822195,0.002818804,0.0005389861,0.000095468145,0.00029443117,0.000065171356,0.000015401061,0.00013567093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715984,0.0010972897,0.0007764967,0.0004985794,0.000074525444,0.0003932566],"domain_scores_gemma":[0.9987952,0.00018629554,0.00045746527,0.00034138383,0.00010925685,0.0001103595],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012786478,0.00020383694,0.0008298282,0.0001775548,0.000038788356,5.805849e-7,0.00013363145,0.0003945016,0.0012808124],"category_scores_gemma":[0.00016915858,0.00017726274,0.00021866488,0.00020694992,0.00036216166,0.00009794813,0.000059870577,0.00028880857,0.0000055994874],"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":[0.00036110956,0.00022391428,0.984914,0.00015925632,0.0005860102,0.000017553019,0.00017913322,0.0000014343804,0.0094955,0.0020720067,0.00027288447,0.0017171967],"study_design_scores_gemma":[0.0013696206,0.00029166508,0.98377883,0.00021319048,0.00021877917,0.000007787963,0.000026630014,0.00014404846,0.002407764,0.011351625,0.000048131227,0.0001418968],"about_ca_topic_score_codex":0.005329152,"about_ca_topic_score_gemma":0.0010020443,"teacher_disagreement_score":0.009279619,"about_ca_system_score_codex":0.00020428826,"about_ca_system_score_gemma":0.00034725416,"threshold_uncertainty_score":0.9996322},"labels":[],"label_agreement":null},{"id":"W2115831525","doi":"10.1158/1055-9965.epi-11-0715","title":"Case–Control Study of the Metabolic Syndrome and Metabolic Risk Factors for Endometrial Cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Alberta; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Metabolic syndrome; Endometrial cancer; Medicine; Dyslipidemia; Internal medicine; Waist; Endocrinology; Body mass index; Population; Diabetes mellitus; Cancer; Gastroenterology","score_opus":0.10341520427326797,"score_gpt":0.36817503259236556,"score_spread":0.2647598283190976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115831525","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":[0.94958544,0.044452876,0.0003655358,0.00017327369,0.0014755856,0.0035160289,0.0003662309,0.000031262454,0.00003378991],"genre_scores_gemma":[0.9944822,0.0033453975,0.000392911,0.00013201399,0.00018048934,0.0012843981,0.0000092684695,0.00003048801,0.00014284207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666053,0.0012688384,0.0008981681,0.0005756492,0.00015829486,0.0004385192],"domain_scores_gemma":[0.99682873,0.0015944834,0.00082126993,0.00042335087,0.00013895863,0.00019322679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017712069,0.00031571244,0.0014250122,0.00029420323,0.00019971354,0.0000035423989,0.00015304731,0.00021071456,0.00036312564],"category_scores_gemma":[0.0018882676,0.00019009564,0.0005084358,0.00065875007,0.0002259245,0.00009684123,0.00006639258,0.00019614976,0.0000010167267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025878055,0.0005397732,0.94574875,0.00005495852,0.006480926,0.000019001853,0.0003985012,0.000004239805,0.000099825695,0.00011571697,0.00006757696,0.0438829],"study_design_scores_gemma":[0.016881743,0.0014997614,0.9697036,0.000064693435,0.008470569,0.000116860916,0.00038831795,0.000040994837,0.0006889426,0.0015437646,0.00042711647,0.00017362773],"about_ca_topic_score_codex":0.01105147,"about_ca_topic_score_gemma":0.0013008246,"teacher_disagreement_score":0.044896774,"about_ca_system_score_codex":0.00009073905,"about_ca_system_score_gemma":0.000120995704,"threshold_uncertainty_score":0.995534},"labels":[],"label_agreement":null},{"id":"W2116328417","doi":"10.1158/1055-9965.epi-08-0817","title":"Racial Variation in Sex Steroid Hormones and the Insulin-Like Growth Factor Axis in Umbilical Cord Blood of Male Neonates","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Birth, Development, and Health","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; Jewish General Hospital","funders":"National Cancer Institute","keywords":"Sex hormone-binding globulin; Endocrinology; Internal medicine; Testosterone (patch); Insulin-like growth factor; Umbilical cord; Hormone; Birth weight; Androgen; Cord blood; Dihydrotestosterone; Medicine; Biology; Growth factor; Pregnancy; Immunology; Receptor","score_opus":0.035540499694988376,"score_gpt":0.3429270863457198,"score_spread":0.3073865866507314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116328417","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":[0.9832761,0.007522989,0.00039612877,0.0076131583,0.00020894069,0.00081897,0.0000075772755,0.000016678665,0.00013943446],"genre_scores_gemma":[0.95957214,0.03788046,0.0011547074,0.0011803294,0.00006911528,0.00006754206,0.000031381816,0.000007870612,0.000036427246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754715,0.00085045025,0.0008472097,0.00035686343,0.00009488599,0.00030342408],"domain_scores_gemma":[0.99887884,0.0004948954,0.0003354627,0.00015224172,0.00005855766,0.000079996316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022867767,0.00015645166,0.00064108486,0.00018563474,0.00004834002,0.0000029552866,0.00007748284,0.0002330297,0.000048583785],"category_scores_gemma":[0.00054250384,0.000117293275,0.00007856545,0.00023892065,0.00022049663,0.00008594944,0.000026122532,0.00023936355,0.0000013435797],"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":[0.004438463,0.00026248247,0.9276641,0.00016381849,0.0001370229,0.000006569533,0.001396782,0.0000011887394,0.00256893,0.004635314,0.00020604674,0.05851927],"study_design_scores_gemma":[0.0058430685,0.00046442,0.9502745,0.00016839949,0.00006129777,0.000021849513,0.00007126964,0.00027854586,0.00016281154,0.042517725,0.00003906831,0.00009700918],"about_ca_topic_score_codex":0.0010063088,"about_ca_topic_score_gemma":0.0010114461,"teacher_disagreement_score":0.05842226,"about_ca_system_score_codex":0.00012273695,"about_ca_system_score_gemma":0.00018721733,"threshold_uncertainty_score":0.47830808},"labels":[],"label_agreement":null},{"id":"W2116485341","doi":"10.1158/1055-9965.epi-05-0793","title":"Risk of Colorectal Cancer in Monoallelic and Biallelic Carriers of <i>MYH</i> Mutations: A Population-Based Case-Family Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute","keywords":"MUTYH; Colorectal cancer; Hazard ratio; Medicine; Oncology; Confidence interval; Internal medicine; Population; Germline mutation; Cancer; Genetics; Mutation; Gene; Biology; Environmental health","score_opus":0.03059067672371274,"score_gpt":0.35265443165651317,"score_spread":0.32206375493280043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116485341","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":[0.9863719,0.010690615,0.0002693513,0.00033929717,0.00037882585,0.0017474095,0.000118087046,0.000027406099,0.00005716093],"genre_scores_gemma":[0.9965604,0.00049506035,0.0020585132,0.000070093076,0.000055572502,0.0006244885,0.00007326015,0.00002508366,0.00003754158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681354,0.00094578764,0.0012200986,0.00052832894,0.00017066448,0.0003215576],"domain_scores_gemma":[0.99781364,0.00082879514,0.0008111566,0.00025366634,0.0002008937,0.00009184471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478355,0.00024944663,0.0008676109,0.0003847494,0.00006878406,0.0000025449076,0.000081516286,0.0002499621,0.00009061803],"category_scores_gemma":[0.00060003507,0.00023976056,0.00017428525,0.00050060666,0.00029189454,0.000054574954,0.000034038563,0.00019997433,4.4183332e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009421244,0.0002687197,0.98030907,0.00014664744,0.00035384396,0.000021814472,0.00018849445,0.0057909666,0.0041813045,0.000009963707,0.00025928687,0.007527749],"study_design_scores_gemma":[0.0034341018,0.00076183677,0.9881297,0.00024195273,0.000545095,0.000020863496,0.00051956665,0.004175941,0.00085804344,0.0010960662,0.000035672478,0.00018117466],"about_ca_topic_score_codex":0.06758094,"about_ca_topic_score_gemma":0.042067572,"teacher_disagreement_score":0.025513364,"about_ca_system_score_codex":0.0003521071,"about_ca_system_score_gemma":0.000394573,"threshold_uncertainty_score":0.9777152},"labels":[],"label_agreement":null},{"id":"W2116617052","doi":"10.1158/1055-9965.epi-11-0459","title":"Stage at Diagnosis and Comorbidity Influence Breast Cancer Survival in First Nations Women in Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; Cancer Care Ontario; University of Toronto","funders":"Cancer Care Ontario","keywords":"Comorbidity; Breast cancer; Stage (stratigraphy); Medicine; Cancer; Demography; Cancer survival; Oncology; Gerontology; Internal medicine; Sociology; Biology","score_opus":0.14961119126505135,"score_gpt":0.3647921494252786,"score_spread":0.21518095816022725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116617052","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":[0.9938785,0.0025279925,0.0000126768455,0.0020279086,0.00037177562,0.0004929718,0.00008598647,0.000017017335,0.0005852056],"genre_scores_gemma":[0.9946778,0.0028153253,0.00016466645,0.00071405317,0.000033015403,0.00092418166,0.000034803892,0.00001250231,0.00062365277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977739,0.00031369444,0.0006129033,0.0005024798,0.00015505691,0.00064195995],"domain_scores_gemma":[0.9987659,0.00043241878,0.00024213873,0.00022428647,0.00008579825,0.00024947626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014950713,0.00020764154,0.0005684413,0.0001488727,0.00013438845,0.0000036690453,0.00012281486,0.00017298771,0.0017104587],"category_scores_gemma":[0.00042078737,0.00020574147,0.00005605014,0.00033561978,0.00018272671,0.00020049272,0.00010019693,0.00027901743,0.0000019590404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005642987,0.000050860905,0.99566954,0.00007668557,0.00009743992,0.00004209819,0.00055804785,0.00009670469,0.000020349622,0.000059200815,0.0012937072,0.0014710706],"study_design_scores_gemma":[0.0011716029,0.00007138062,0.99438393,0.0006809363,0.000038587263,0.000015078085,0.000269035,0.000069808186,0.000026157308,0.00029495065,0.002791507,0.00018702199],"about_ca_topic_score_codex":0.9958399,"about_ca_topic_score_gemma":0.999903,"teacher_disagreement_score":0.005313672,"about_ca_system_score_codex":0.006746391,"about_ca_system_score_gemma":0.0014327187,"threshold_uncertainty_score":0.99920213},"labels":[],"label_agreement":null},{"id":"W2116706913","doi":"10.1158/1055-9965.epi-10-0536","title":"Baseline Plasma Total Homocysteine and Adenoma Recurrence: Results from a Double Blind Randomized Clinical Trial of Aspirin and Folate Supplementation","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Colorectal adenoma; Aspirin; Medicine; Internal medicine; Placebo; Gastroenterology; Confidence interval; Population; Homocysteine; Adenoma; Quartile; Methylenetetrahydrofolate reductase; Randomized controlled trial; Endocrinology; Colorectal cancer; Cancer; Chemistry; Pathology; Genotype; Biochemistry","score_opus":0.13468412865789384,"score_gpt":0.4718012410802552,"score_spread":0.3371171124223613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116706913","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":[0.9902651,0.0020063217,0.00035348648,0.0037208288,0.0009934811,0.002393118,0.00014803155,0.000021186564,0.00009849861],"genre_scores_gemma":[0.99006134,0.0029845575,0.0043732207,0.00006563979,0.0005467383,0.00023064573,0.0011829307,0.000016530385,0.00053840416],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.995311,0.0017288807,0.001816444,0.00065420824,0.00017355962,0.0003158859],"domain_scores_gemma":[0.99461305,0.0040174085,0.00066440355,0.00031978596,0.00016220713,0.00022311455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013562017,0.0002031864,0.0011770171,0.00019157142,0.00007212913,0.000009886942,0.00007807981,0.00041435036,0.0001908218],"category_scores_gemma":[0.0041071144,0.00016067445,0.00024486482,0.00015951402,0.0006812444,0.00013190738,0.00008999902,0.00046144013,0.000004522624],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8758719,0.00023092874,0.014511313,0.000074505966,0.000688902,0.000006475557,0.00007483134,4.733147e-7,0.0036464608,0.00007315675,0.0013048844,0.103516184],"study_design_scores_gemma":[0.9658939,0.0022404029,0.022108728,0.00025386232,0.00071876816,0.000023895418,0.000052700354,0.0053191953,0.0012403565,0.0013864248,0.00058620103,0.00017555036],"about_ca_topic_score_codex":0.001309588,"about_ca_topic_score_gemma":0.00069000677,"teacher_disagreement_score":0.10334063,"about_ca_system_score_codex":0.000029495452,"about_ca_system_score_gemma":0.0001948918,"threshold_uncertainty_score":0.6552114},"labels":[],"label_agreement":null},{"id":"W2117100909","doi":"10.1158/1055-9965.epi-09-0504","title":"Moderator Effects in a Randomized Controlled Trial of Exercise Training in Lymphoma Patients","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":61,"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":"Medicine; Aerobic exercise; Overweight; Physical therapy; Moderation; Body mass index; Quality of life (healthcare); Randomized controlled trial; Disease; Marital status; Internal medicine; Psychology; Population; Nursing","score_opus":0.02515398186607164,"score_gpt":0.33760082691146615,"score_spread":0.3124468450453945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117100909","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":[0.9799116,0.009960621,0.00054896204,0.00073484634,0.0012920479,0.007173611,0.0000033399701,0.000027182952,0.00034777305],"genre_scores_gemma":[0.9962798,0.0010527906,0.0002481128,0.00032809307,0.00008189453,0.0018577395,0.00004531766,0.000013793661,0.000092500784],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9955079,0.0020518487,0.0014978691,0.0004082006,0.00014857261,0.00038558446],"domain_scores_gemma":[0.9974653,0.0015436221,0.00058026996,0.00022318195,0.00008495587,0.00010264506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004603817,0.00023463828,0.0032826706,0.00039698725,0.000021722677,0.0000026240443,0.00008261196,0.00029605837,0.000032455337],"category_scores_gemma":[0.0023727363,0.00019024989,0.0006830102,0.00029854712,0.00012607267,0.00008159614,0.000013407097,0.00012584678,0.0000011890909],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8658808,0.00040335642,0.01825851,0.00012056552,0.00019451341,0.000006356173,0.00079725304,0.000019947507,0.00007144414,0.00015442459,0.00010970362,0.11398316],"study_design_scores_gemma":[0.94895834,0.000641807,0.03839864,0.0018433193,0.0003484476,8.004231e-7,0.0000989544,0.0015167408,0.00007603118,0.007947091,0.00001824851,0.00015158043],"about_ca_topic_score_codex":0.0005995255,"about_ca_topic_score_gemma":0.0006303597,"teacher_disagreement_score":0.11383158,"about_ca_system_score_codex":0.00028753345,"about_ca_system_score_gemma":0.0003207534,"threshold_uncertainty_score":0.7758165},"labels":[],"label_agreement":null},{"id":"W2117236384","doi":"10.1158/1055-9965.epi-07-0589","title":"<i>CYP17</i>Genetic Variation and Risk of Breast and Prostate Cancer from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3)","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","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":"inVentiv Health Clinical","funders":"National Cancer Institute; National Institutes of Health","keywords":"Breast cancer; Prostate cancer; Single-nucleotide polymorphism; Medicine; Oncology; Odds ratio; Internal medicine; Cancer; Prostate; Haplotype; Linkage disequilibrium; Gynecology; Genotype; Biology; Genetics; Gene","score_opus":0.014754670877776127,"score_gpt":0.3079677931445567,"score_spread":0.29321312226678053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117236384","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":[0.9494603,0.04182276,0.0015662628,0.0038182598,0.0006197272,0.00084496633,0.0018225468,0.000014180908,0.00003096787],"genre_scores_gemma":[0.911224,0.08503317,0.0014194561,0.00075797277,0.0004714017,0.0005030155,0.00030191086,0.000028684277,0.00026035734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968922,0.0007360944,0.00089179,0.0008312507,0.00014709064,0.0005015392],"domain_scores_gemma":[0.9978521,0.0003712464,0.0010226237,0.00022692757,0.00036835085,0.00015876869],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027556207,0.00032323145,0.0005337441,0.000074854106,0.00028886244,0.000014838457,0.00014206242,0.00039719173,0.000047942365],"category_scores_gemma":[0.00039682357,0.00026320384,0.00010017064,0.00015994543,0.00080960453,0.000027608072,0.00015528618,0.00020063481,6.499552e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039457204,0.00003360562,0.94867104,0.000036867696,0.0012034171,4.5304515e-7,0.00017661488,0.00039048228,0.01058891,0.000036200578,0.0025443826,0.035923477],"study_design_scores_gemma":[0.0011277548,0.00007474135,0.99242127,0.00012568917,0.0004883979,0.000025018933,0.000066180255,0.0006109756,0.0002851534,0.0019171243,0.002580185,0.00027751696],"about_ca_topic_score_codex":0.020907264,"about_ca_topic_score_gemma":0.015387143,"teacher_disagreement_score":0.043750245,"about_ca_system_score_codex":0.00012597858,"about_ca_system_score_gemma":0.0003619358,"threshold_uncertainty_score":0.999982},"labels":[],"label_agreement":null},{"id":"W2117342082","doi":"10.1158/1055-9965.epi-08-1202","title":"Heritable Variation of<i>ERBB2</i>and Breast Cancer Risk","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"HER2/EGFR in Cancer Research","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":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institute on Drug Abuse","keywords":"Breast cancer; Linkage disequilibrium; Haplotype; Biology; Single-nucleotide polymorphism; Odds ratio; Genetics; Oncology; Internal medicine; Locus (genetics); Cancer; Allele; Genotype; Gene; Medicine","score_opus":0.05187997438453702,"score_gpt":0.41210538428016175,"score_spread":0.36022540989562474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117342082","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":[0.84927875,0.08282567,0.009798415,0.05150698,0.001616072,0.0025168841,0.0003320987,0.00022069711,0.001904435],"genre_scores_gemma":[0.96833754,0.024140343,0.004540037,0.001081803,0.0004659449,0.00023540568,0.000056070927,0.000032790507,0.0011100961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971774,0.0007832252,0.0007312938,0.00056779425,0.00020726396,0.00053302967],"domain_scores_gemma":[0.99834377,0.00033260207,0.0004711867,0.00039017262,0.00023272661,0.0002295689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028597726,0.00021929397,0.0006953698,0.00018299134,0.00011400932,0.000006480824,0.00012400559,0.0003023761,0.0006859181],"category_scores_gemma":[0.00049708877,0.0001983004,0.00017835443,0.0003635998,0.00024692572,0.00014956319,0.000043440064,0.00032654332,0.00001071467],"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":[0.0011859165,0.00016010691,0.6796813,0.0002464822,0.00054150197,0.000004698289,0.00015668343,0.00005006552,0.010313029,0.00045651494,0.01071832,0.2964854],"study_design_scores_gemma":[0.0015191805,0.00036401738,0.9831015,0.0006288237,0.0003297759,0.000041059793,0.000030718013,0.0011104664,0.00049146445,0.008130441,0.004075657,0.00017689285],"about_ca_topic_score_codex":0.0033228495,"about_ca_topic_score_gemma":0.00024568656,"teacher_disagreement_score":0.30342022,"about_ca_system_score_codex":0.0003910773,"about_ca_system_score_gemma":0.00040060325,"threshold_uncertainty_score":0.80864555},"labels":[],"label_agreement":null},{"id":"W2117514775","doi":"10.1158/1055-9965.epi-06-0361","title":"Haplotype-Based Association Studies of <i>IGFBP1</i> and <i>IGFBP3</i> with Prostate and Breast Cancer Risk: The Multiethnic Cohort","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","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":"Immunovaccine (Canada)","funders":"National Cancer Institute; U.S. Department of Defense","keywords":"IGFBP3; Linkage disequilibrium; Single-nucleotide polymorphism; Prostate cancer; Haplotype; Breast cancer; Genetics; Biology; Oncology; Genetic association; Genotype; Case-control study; Internal medicine; Medicine; Cancer; Gene","score_opus":0.02421101940201315,"score_gpt":0.32215877870297205,"score_spread":0.2979477593009589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117514775","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":[0.93086165,0.05693098,0.00017374389,0.010564229,0.0002175334,0.0010476019,0.00009834935,0.00004886811,0.000057032616],"genre_scores_gemma":[0.9730807,0.02453748,0.00057772134,0.0008642488,0.00013404517,0.0003466857,0.00006461791,0.000030710416,0.00036380155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773,0.00061020587,0.00065194047,0.00045616252,0.00017826908,0.0003733812],"domain_scores_gemma":[0.9974514,0.0010316686,0.0009006703,0.00022878316,0.00030342757,0.00008401594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021804194,0.0002587567,0.0007103927,0.00009415901,0.00018479906,0.000005974351,0.00006126115,0.00020712604,0.000011108814],"category_scores_gemma":[0.00037130347,0.00016262988,0.00010783026,0.00024476895,0.0005423203,0.00012013832,0.000038406914,0.0002450854,0.0000010714039],"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":[0.001193519,0.00007015972,0.98191005,0.00022049483,0.001084011,0.0000015247555,0.00009404462,0.000030971518,0.0008865125,0.00002119301,0.0079810815,0.006506427],"study_design_scores_gemma":[0.0024083506,0.00030143422,0.99241084,0.0003768156,0.0012405335,0.000010890977,0.00012002174,0.00035661864,0.00067086564,0.00061878836,0.0013117992,0.00017307125],"about_ca_topic_score_codex":0.0027274222,"about_ca_topic_score_gemma":0.0011807111,"teacher_disagreement_score":0.042219028,"about_ca_system_score_codex":0.00024236628,"about_ca_system_score_gemma":0.00016110444,"threshold_uncertainty_score":0.66318536},"labels":[],"label_agreement":null},{"id":"W2117800515","doi":"10.1158/1055-9965.epi-07-0710","title":"Cyclooxygenase-2 Inhibitors in Colorectal Cancer Prevention: Counterpoint","year":2008,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":70,"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; Ontario Clinical Oncology Group","funders":"Cancer Research UK","keywords":"Aspirin; Medicine; Colorectal cancer; Internal medicine; Placebo; Proton-pump inhibitor; Cyclooxygenase; Esophagus; Gastroenterology; Cancer; Pathology","score_opus":0.0704618023590877,"score_gpt":0.41619137854132116,"score_spread":0.34572957618223343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117800515","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":[0.0038280264,0.9870164,0.000056516103,0.00031383042,0.0042602187,0.0040827338,0.000068447494,0.00013865234,0.00023518519],"genre_scores_gemma":[0.00021558306,0.99130934,0.00025990422,0.00020686733,0.0017342488,0.004559837,0.00075160526,0.00014578029,0.0008168039],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99205106,0.0025807035,0.0026266105,0.0013605146,0.00030841518,0.0010727167],"domain_scores_gemma":[0.9961921,0.0010583426,0.0016857951,0.0005290326,0.00013610453,0.00039863828],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0023838812,0.0010078398,0.004589419,0.0007814226,0.00015346061,0.00000898153,0.00028404428,0.0016684873,0.0005578628],"category_scores_gemma":[0.00080159405,0.0008517496,0.0018694606,0.0007458256,0.00044436913,0.00016519714,0.00013066141,0.0011016726,0.00013521087],"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":[0.00042097725,0.00026448845,0.013895248,0.015153561,0.0017449954,0.00025275373,0.00007294136,0.0000038593653,0.000016286327,0.000031596657,0.0360468,0.9320965],"study_design_scores_gemma":[0.0021796294,0.00049624447,0.005930113,0.0768431,0.0019070106,0.00042594783,0.00001785774,0.0000641948,0.00003523068,0.00025572727,0.9109198,0.0009251457],"about_ca_topic_score_codex":0.0004697324,"about_ca_topic_score_gemma":0.0012483549,"teacher_disagreement_score":0.93117136,"about_ca_system_score_codex":0.002273266,"about_ca_system_score_gemma":0.0029867725,"threshold_uncertainty_score":0.99962753},"labels":[],"label_agreement":null},{"id":"W2117849129","doi":"10.1158/1055-9965.epi-14-1052","title":"Changing Inequalities in Cervical Cancer: Modeling the Impact of Vaccine Uptake, Vaccine Herd Effects, and Cervical Cancer Screening in the Post-Vaccination Era","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":20,"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; The Quebec Population Health Research Network","funders":"Canadian Institutes of Health Research","keywords":"Vaccination; Cervical cancer; Medicine; Herd; Cancer; Herd immunity; Immunology; Internal medicine; Veterinary medicine","score_opus":0.06695592056611466,"score_gpt":0.41295932283331577,"score_spread":0.3460034022672011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117849129","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":[0.94643813,0.028968018,0.0037658876,0.018935591,0.00020955596,0.0014419736,0.000025806838,0.00003206176,0.00018294508],"genre_scores_gemma":[0.9923825,0.004702791,0.00024511255,0.0012698051,0.00047001673,0.0007713462,0.000087487424,0.000036068366,0.000034866116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995186,0.001969519,0.0011007395,0.000602864,0.00030660225,0.000834279],"domain_scores_gemma":[0.99702215,0.0018141222,0.00031378656,0.00042418204,0.00027348672,0.00015224109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00633449,0.00034691577,0.0010115429,0.0005079028,0.000160662,0.000017848006,0.00030481422,0.00031202278,0.0006362625],"category_scores_gemma":[0.0010152688,0.00020971338,0.00028747876,0.00094815495,0.00007002696,0.0001873243,0.00015721208,0.00078067277,0.0000010191425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002502311,0.00008972595,0.707644,0.0007497052,0.00031118936,0.0000036978456,0.0011476178,0.0037899266,0.00025504085,0.00031382564,0.00025442513,0.28293854],"study_design_scores_gemma":[0.0035419723,0.00042024945,0.84263206,0.0005519849,0.00013982136,0.000010049015,0.0004587605,0.1498046,0.000053203057,0.00214469,0.00006376265,0.0001788331],"about_ca_topic_score_codex":0.027779501,"about_ca_topic_score_gemma":0.016092388,"teacher_disagreement_score":0.2827597,"about_ca_system_score_codex":0.00043668938,"about_ca_system_score_gemma":0.000245723,"threshold_uncertainty_score":0.9786946},"labels":[],"label_agreement":null},{"id":"W2117999693","doi":"10.1158/1055-9965.epi-14-0549","title":"Methods for Sample Acquisition and Processing of Serial Blood and Tumor Biopsies for Multicenter Diffuse Large B-cell Lymphoma Clinical Trials","year":2014,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","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":"Simon Fraser University; Princess Margaret Cancer Centre; Jewish General Hospital; Quebec - Clinical Research Organization in Cancer; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Clinical trial; Bioinformatics; Cancer; Lymphoma; Oncology; Computational biology; Pathology; Internal medicine; Biology","score_opus":0.0630404605185866,"score_gpt":0.4691238837957276,"score_spread":0.40608342327714103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117999693","genre_codex":"methods","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07656839,0.07788394,0.49591675,0.0002828317,0.33752993,0.0044166762,0.0073675876,0.000027902419,0.0000059987437],"genre_scores_gemma":[0.014758502,0.0374638,0.36697,0.00071948825,0.5608072,0.0033125482,0.01547004,0.00026010664,0.00023831047],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99471647,0.001977012,0.001780188,0.001006751,0.00006985792,0.0004497107],"domain_scores_gemma":[0.9868206,0.010271454,0.002061487,0.00032299408,0.00037613313,0.00014734386],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013911557,0.0003946127,0.0015515077,0.000090816255,0.00014364668,0.000026614454,0.00017596254,0.0012923281,0.000004198995],"category_scores_gemma":[0.024546308,0.00037158406,0.000537293,0.000040163173,0.00030659753,0.0000093099425,0.00017417273,0.000113643335,1.0756748e-7],"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":[0.01575255,0.0018874778,0.005955521,0.004994202,0.002655057,5.323266e-7,0.000086809036,0.0000066850844,0.058312222,0.000077263525,0.7221266,0.18814509],"study_design_scores_gemma":[0.050381497,0.0030317977,0.0009703864,0.0007292868,0.004176345,0.0000030757774,0.000075853844,0.0021762904,0.016633548,0.0048951018,0.91594374,0.0009830781],"about_ca_topic_score_codex":0.000058185167,"about_ca_topic_score_gemma":0.00009751283,"teacher_disagreement_score":0.22327727,"about_ca_system_score_codex":0.000037775026,"about_ca_system_score_gemma":0.00039642391,"threshold_uncertainty_score":0.99987364},"labels":[],"label_agreement":null},{"id":"W2118216564","doi":"10.1158/1055-9965.epi-14-0398","title":"Downregulation of microRNAs 145-3p and 145-5p Is a Long-term Predictor of Postmenopausal Breast Cancer Risk: The ORDET Prospective Study","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"MicroRNA in disease regulation","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":"Population Health Research Institute; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Breast cancer; Prospective cohort study; microRNA; Cancer; Oncology; Medicine; Metastasis; Internal medicine; Downregulation and upregulation; Cohort; Proportional hazards model; Cohort study; Bioinformatics; Biology; Gene; Genetics","score_opus":0.01300188773443201,"score_gpt":0.31327735366096077,"score_spread":0.30027546592652876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118216564","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":[0.988843,0.006933483,0.0019481329,0.00044598433,0.00019703677,0.0013083664,0.00029548677,0.000012317145,0.000016194464],"genre_scores_gemma":[0.9981799,0.00080747216,0.00022989398,0.00007238321,0.00021045188,0.00024015238,0.0001509002,0.000026319489,0.000082511455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972147,0.0010898317,0.0006968692,0.00060216285,0.00012311016,0.00027334312],"domain_scores_gemma":[0.9979892,0.00011859326,0.0010323831,0.00049947936,0.0002794828,0.00008085643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014719125,0.0002498655,0.00042436342,0.00008486106,0.00011334634,0.0000064283354,0.00020364187,0.00024013505,0.00007821048],"category_scores_gemma":[0.00021663714,0.00019585706,0.00013883445,0.00015964301,0.00044282727,0.000017581327,0.00013796793,0.00010336334,8.7423547e-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":[0.00079437555,0.00017275289,0.7686775,0.00007867637,0.0008035847,1.5068458e-7,0.00013833838,0.00004537749,0.22101228,0.000023437946,0.00062582025,0.007627724],"study_design_scores_gemma":[0.0014463654,0.0005454666,0.97935635,0.000119078984,0.00045584195,0.000008567859,0.000049418162,0.00019900319,0.016843848,0.00072802074,0.00007277491,0.00017529078],"about_ca_topic_score_codex":0.00043695417,"about_ca_topic_score_gemma":0.0005275944,"teacher_disagreement_score":0.21067885,"about_ca_system_score_codex":0.000074449265,"about_ca_system_score_gemma":0.00012562072,"threshold_uncertainty_score":0.798682},"labels":[],"label_agreement":null},{"id":"W2118255598","doi":"10.1158/1055-9965.epi-05-0303","title":"A Prospective Study of the Insulin-Like Growth Factor Axis in Relation with Prostate Cancer in the SU.VI.MAX Trial","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":19,"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 de Québec; Université Laval","funders":"","keywords":"Quartile; Medicine; Prostate cancer; Internal medicine; Confidence interval; Odds ratio; Insulin-like growth factor; Conditional logistic regression; Cancer; Prostate; Logistic regression; Case-control study; Oncology; Gynecology; Growth factor; Receptor","score_opus":0.03876806838904784,"score_gpt":0.3382506733651202,"score_spread":0.2994826049760724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118255598","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":[0.9856915,0.0028717818,0.000030458737,0.0045279297,0.0004618234,0.006214173,0.000022257353,0.000027559889,0.00015253185],"genre_scores_gemma":[0.9968552,0.0006434097,0.00010428825,0.00044640998,0.0001878601,0.0015522487,0.000020517602,0.000029478962,0.00016060796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956416,0.0017105913,0.0012212173,0.000625918,0.00031950412,0.0004811854],"domain_scores_gemma":[0.9980629,0.00048604683,0.0007304109,0.00047669542,0.00017137299,0.000072571456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022000885,0.00032108353,0.00077456445,0.00028413083,0.00010952247,0.000007918131,0.000262861,0.0002639907,0.00005593255],"category_scores_gemma":[0.00059258204,0.00017981292,0.00017815699,0.0010807802,0.0002610794,0.00026734918,0.00005851992,0.00061494485,0.0000031073128],"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":[0.026499176,0.0011073204,0.95991176,0.00005366658,0.00030451352,0.0000042580227,0.0053567663,0.000076102464,0.00023395056,0.00006764233,0.00037237504,0.0060124863],"study_design_scores_gemma":[0.034385413,0.0020240408,0.9604139,0.00031588666,0.00020622018,0.000005348595,0.0012105615,0.00019004397,0.00016501916,0.00067226024,0.00022724023,0.00018407188],"about_ca_topic_score_codex":0.003495156,"about_ca_topic_score_gemma":0.009117682,"teacher_disagreement_score":0.011163695,"about_ca_system_score_codex":0.00064426154,"about_ca_system_score_gemma":0.00038410164,"threshold_uncertainty_score":0.7332558},"labels":[],"label_agreement":null},{"id":"W2118496272","doi":"10.1158/1055-9965.epi-11-0888","title":"Common Variants at the 19p13.1 and <i>ZNF365</i> Loci Are Associated with ER Subtypes of Breast Cancer and Ovarian Cancer Risk in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"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; ZonMw; National Institute for Health and Care Research; Cancer Research UK","keywords":"Ovarian cancer; Cancer; Breast cancer; Mutation; BRCA2 Protein; Medicine; Genetics; Oncology; Biology; Internal medicine; Cancer research; Germline mutation; Gene","score_opus":0.016211718908956795,"score_gpt":0.2972331650898412,"score_spread":0.2810214461808844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118496272","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":[0.9330128,0.063140914,0.0002136491,0.0022394052,0.0002942068,0.0005167247,0.0005297728,0.000011087191,0.000041481595],"genre_scores_gemma":[0.986525,0.01177204,0.00018337539,0.0006316613,0.0001407608,0.00038059938,0.00017655623,0.000037119626,0.00015291141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974679,0.000883422,0.0005013411,0.0005672981,0.00011269504,0.0004673606],"domain_scores_gemma":[0.9984732,0.00022543698,0.0007660711,0.00027121932,0.0001235101,0.00014051209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016961499,0.0002894247,0.0004586898,0.000077614386,0.00021826822,0.000011027896,0.000112622096,0.0003605705,0.000039251667],"category_scores_gemma":[0.00018008566,0.00022841342,0.00006146837,0.00023153792,0.00075052615,0.000038006707,0.00014043746,0.00020018709,3.5886734e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055543194,0.000043912893,0.9742267,0.000056231907,0.0007630767,9.599918e-7,0.00030542642,0.00020341831,0.006754039,0.000020601456,0.002497548,0.014572659],"study_design_scores_gemma":[0.0018005345,0.000089800116,0.9928042,0.00020916313,0.0003730845,0.000035193625,0.00027820648,0.00021328131,0.0025272723,0.00029149305,0.0010934501,0.0002843015],"about_ca_topic_score_codex":0.0035749744,"about_ca_topic_score_gemma":0.027520563,"teacher_disagreement_score":0.05351222,"about_ca_system_score_codex":0.00028594624,"about_ca_system_score_gemma":0.00018344437,"threshold_uncertainty_score":0.99022466},"labels":[],"label_agreement":null},{"id":"W2118583448","doi":"10.1158/1055-9965.epi-10-0686","title":"Associations of Cumulative Sun Exposure and Phenotypic Characteristics with Histologic Solar Elastosis","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Skin Protection and Aging","field":"Medicine","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":"University of Toronto","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; U.S. Public Health Service; National Center for Atmospheric Research","keywords":"Quartile; Medicine; Confidence interval; Sun exposure; Odds ratio; Sunlight; Population; Melanoma; Dermatology; Pathology; Internal medicine; Environmental health","score_opus":0.048874396678798664,"score_gpt":0.3463628070819105,"score_spread":0.2974884104031118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118583448","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":[0.99058205,0.0009560028,0.0051391004,0.002253416,0.00044494699,0.00040961956,0.000020777816,0.000047563586,0.00014652185],"genre_scores_gemma":[0.99291694,0.00014658786,0.00611933,0.0002859349,0.00009667574,0.000070437854,0.00006756892,0.000012565756,0.000283975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988053,0.00024804746,0.00041745204,0.00026789377,0.00006880205,0.00019251018],"domain_scores_gemma":[0.9987765,0.0003269961,0.00051468116,0.00016222423,0.00013934549,0.00008025739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092423736,0.00012882642,0.0004495645,0.000107387714,0.00010445432,0.000002335593,0.000041624313,0.00021173606,0.00013906763],"category_scores_gemma":[0.00085099216,0.00010320671,0.00007908871,0.00013531152,0.0003048005,0.00006737496,0.000020921236,0.00028281275,0.000002515161],"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":[0.00022951946,0.00006458309,0.95886576,0.000047884536,0.00033662556,0.0000015751777,0.00016851735,0.0000015046452,0.014213848,0.0003280989,0.00026888776,0.025473204],"study_design_scores_gemma":[0.00090512406,0.00026498543,0.9949713,0.00013482428,0.00026633148,0.000021473777,0.000048412643,0.00027602425,0.00070469116,0.0015124808,0.000790517,0.000103830746],"about_ca_topic_score_codex":0.00013566478,"about_ca_topic_score_gemma":0.00014636073,"teacher_disagreement_score":0.03610555,"about_ca_system_score_codex":0.00007361158,"about_ca_system_score_gemma":0.00008373178,"threshold_uncertainty_score":0.42086476},"labels":[],"label_agreement":null},{"id":"W2118702854","doi":"10.1158/1055-9965.epi-13-0577","title":"C-Reactive Protein and Colorectal Cancer Mortality in U.S. Adults","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Colorectal cancer; Medicine; Internal medicine; Hazard ratio; National Health and Nutrition Examination Survey; Confidence interval; Cancer; Incidence (geometry); C-reactive protein; Gastroenterology; Oncology; Proportional hazards model; Inflammation; Population","score_opus":0.03275994333701139,"score_gpt":0.3617276227853613,"score_spread":0.3289676794483499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118702854","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":[0.9892911,0.005179926,0.00019984889,0.0025168764,0.0003823888,0.0017912715,0.00002348498,0.00009015949,0.0005249731],"genre_scores_gemma":[0.99541414,0.00030691214,0.0012249015,0.00045821027,0.00019823028,0.0022070184,0.00006839083,0.000032020893,0.0000901916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672693,0.0010685307,0.00073988934,0.00077836594,0.00014725915,0.0005390417],"domain_scores_gemma":[0.99865234,0.000293758,0.0003977843,0.0002882514,0.00011702329,0.00025082918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024135564,0.00030023942,0.00071206404,0.00020939122,0.000086508866,0.000006008546,0.0001087195,0.00037034345,0.00019241625],"category_scores_gemma":[0.0010101015,0.00027986997,0.0001791055,0.00025003494,0.00048333692,0.00016189816,0.00008410397,0.00027014158,0.000009426922],"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":[0.0023914976,0.00013119711,0.9573099,0.0003965188,0.00049478747,0.00001003064,0.0000864704,0.000002049673,0.0041622687,0.00027057654,0.0006001384,0.034144573],"study_design_scores_gemma":[0.00264711,0.00020886518,0.9859212,0.0015748679,0.00023533504,0.000008575707,0.000055112974,0.0015631645,0.0030620208,0.0038199513,0.00063620775,0.00026759767],"about_ca_topic_score_codex":0.0012156966,"about_ca_topic_score_gemma":0.0015148774,"teacher_disagreement_score":0.033876974,"about_ca_system_score_codex":0.00042897995,"about_ca_system_score_gemma":0.00021351287,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W2118709131","doi":"10.1158/1055-9965.epi-09-0211","title":"The Association of Lifestyle and Dietary Factors with the Risk for Serrated Polyps of the Colorectum","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":169,"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 Cancer Institute","keywords":"Hyperplastic Polyp; Medicine; Internal medicine; Gastroenterology; Colorectal cancer; Family history; Aspirin; Adenoma; Cancer; Colonoscopy","score_opus":0.026383620956214198,"score_gpt":0.31758143499269365,"score_spread":0.29119781403647943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118709131","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":[0.98433256,0.0035671198,0.00074037135,0.010107857,0.0003060179,0.0008341628,0.000019167328,0.000020020028,0.00007272534],"genre_scores_gemma":[0.9985501,0.00056147535,0.00013924607,0.00018857063,0.000065629654,0.00007058295,0.000011674326,0.000007075533,0.0004056409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985755,0.00061923865,0.00033029652,0.00018322197,0.00010286104,0.00018884946],"domain_scores_gemma":[0.9972635,0.001561872,0.0007906968,0.00019468472,0.00015472571,0.000034555553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019876072,0.00011130242,0.0002984847,0.00003124348,0.00026079436,0.0000032432097,0.000083080246,0.00013779092,0.0000033282295],"category_scores_gemma":[0.0010740532,0.00004941625,0.00015721221,0.00022191026,0.00019408054,0.000036588524,0.00001635286,0.00016089568,8.9224656e-8],"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":[0.0063880463,0.000034822577,0.95850265,0.0000344377,0.00066130096,5.866017e-8,0.00023215202,0.000053307303,0.0021185016,0.000054126787,0.0047243806,0.027196195],"study_design_scores_gemma":[0.00081087236,0.0019092924,0.9905393,0.00010338985,0.00047443106,0.0000024328165,0.00020838428,0.000833685,0.0028547181,0.0010584702,0.001149096,0.00005592028],"about_ca_topic_score_codex":0.0005012596,"about_ca_topic_score_gemma":0.0014567875,"teacher_disagreement_score":0.032036636,"about_ca_system_score_codex":0.00012750876,"about_ca_system_score_gemma":0.00010628097,"threshold_uncertainty_score":0.20151362},"labels":[],"label_agreement":null},{"id":"W2119037301","doi":"10.1158/1055-9965.epi-08-0411","title":"International Lung Cancer Consortium: Pooled Analysis of Sequence Variants in DNA Repair and Cell Cycle Pathways","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","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":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute","keywords":"XRCC3; ERCC1; XRCC1; Heterozygote advantage; Odds ratio; Lung cancer; DNA repair; Internal medicine; Lung cancer susceptibility; Biology; Confidence interval; Cancer; Gastroenterology; Genetics; Nucleotide excision repair; Medicine; Oncology; Genotype; Gene; Single-nucleotide polymorphism","score_opus":0.031459888237966555,"score_gpt":0.32622958198211616,"score_spread":0.29476969374414963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119037301","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":[0.9904631,0.006236148,0.0020531048,0.00023462113,0.000354192,0.00025647425,0.00009621146,0.000023317525,0.0002828478],"genre_scores_gemma":[0.9903984,0.006161926,0.0025213454,0.00022237904,0.00005611185,0.0001421942,0.00022433519,0.00001489914,0.0002584144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792725,0.00046938,0.00062231964,0.0006113369,0.00009022441,0.00027950195],"domain_scores_gemma":[0.99901974,0.00007944667,0.00041413103,0.00031154935,0.00009576081,0.00007939008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009969447,0.00017622598,0.00044367736,0.00022901833,0.000050064566,0.0000021707067,0.00017897389,0.00026497617,0.00012618561],"category_scores_gemma":[0.00022711967,0.00018299792,0.0002510564,0.0002897076,0.00021618049,0.000014233528,0.000117276766,0.00008734086,6.995771e-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":[0.00019976137,0.000074876014,0.50050205,0.000034227938,0.0019436065,0.000009009698,0.00006445652,0.0006044123,0.49435043,0.000084399675,0.0007204794,0.0014122507],"study_design_scores_gemma":[0.0019070979,0.00020779531,0.8477704,0.00014587789,0.0015074861,0.000021433281,0.00008415893,0.04254254,0.103613146,0.00090666243,0.0007795699,0.0005138232],"about_ca_topic_score_codex":0.0006028772,"about_ca_topic_score_gemma":0.0005233719,"teacher_disagreement_score":0.3907373,"about_ca_system_score_codex":0.000096941716,"about_ca_system_score_gemma":0.00015998015,"threshold_uncertainty_score":0.7462439},"labels":[],"label_agreement":null},{"id":"W2119116315","doi":"10.1158/1055-9965.epi-10-0084","title":"Effect of Differing Levels of Tobacco-Specific Nitrosamines in Cigarette Smoke on the Levels of Biomarkers in Smokers","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":55,"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 Waterloo; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institute on Drug Abuse","keywords":"Cotinine; Metabolite; Nicotine; Tobacco smoke; Carcinogen; Urine; Environmental health; Medicine; Physiology; Sidestream smoke; Population; Toxicology; Cigarette smoke; Tobacco product; Chemistry; Internal medicine; Biology","score_opus":0.08463736423259141,"score_gpt":0.3811144622779949,"score_spread":0.29647709804540345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119116315","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":[0.99656385,0.0005590343,0.00011747463,0.0009633878,0.00077308214,0.00086677546,0.00004668379,0.000015733773,0.000094004776],"genre_scores_gemma":[0.99946374,0.00013284814,0.00008379299,0.00006110911,0.0000500478,0.00013625315,0.00002821291,0.000023966772,0.000020034646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968314,0.001015573,0.001174838,0.00041536632,0.00022112852,0.00034164847],"domain_scores_gemma":[0.9967759,0.0018350197,0.0007302704,0.00051344675,0.00008883361,0.000056534103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005201759,0.00025547456,0.00091751054,0.00048128667,0.000031350934,0.0000021326855,0.0002037046,0.00038461274,0.00019876534],"category_scores_gemma":[0.0011281215,0.00018583963,0.00027761984,0.00052624044,0.00043518178,0.00007702027,0.00004482014,0.00040639212,3.330877e-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":[0.0009745225,0.00009399618,0.79372215,0.00016184383,0.00018365055,0.0000023588832,0.000094367955,0.0000090116,0.15067442,0.00012261071,0.000092381655,0.05386867],"study_design_scores_gemma":[0.0019375003,0.00044532822,0.86246955,0.0009239013,0.00012589472,0.0000034401698,0.000082920655,0.00005212461,0.13351144,0.00031334718,0.000018560635,0.00011599405],"about_ca_topic_score_codex":0.0005618701,"about_ca_topic_score_gemma":0.0002435183,"teacher_disagreement_score":0.06874738,"about_ca_system_score_codex":0.00015340526,"about_ca_system_score_gemma":0.00007831293,"threshold_uncertainty_score":0.757832},"labels":[],"label_agreement":null},{"id":"W2119286095","doi":"10.1158/1055-9965.epi-03-0448","title":"Increased Rates of Chromosome Breakage in BRCA1 Carriers Are Normalized by Oral Selenium Supplementation","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Chromosome; Gene; Genetics; Selenium; Cancer; Andrology; Biology; DNA damage; Internal medicine; Molecular biology; Endocrinology; Medicine; Physiology; Cancer research; DNA; Chemistry","score_opus":0.02139977618596476,"score_gpt":0.33908493186275074,"score_spread":0.31768515567678596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119286095","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":[0.99221647,0.0042629736,0.001637877,0.0008333426,0.00022384823,0.0005369182,0.0001908693,0.000022020104,0.00007568534],"genre_scores_gemma":[0.9924514,0.00092085777,0.003672652,0.0004584021,0.00010871035,0.00023425379,0.0017781163,0.000028857894,0.00034669292],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997275,0.0009292624,0.0007474171,0.0005350067,0.00009478686,0.0004185355],"domain_scores_gemma":[0.9988889,0.000067753135,0.00054793333,0.0003083322,0.00008151176,0.00010557319],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014761288,0.0002339033,0.00044668547,0.00011003916,0.000048131493,0.0000042944935,0.00020008958,0.00032643683,0.00025184584],"category_scores_gemma":[0.00024174475,0.0002465791,0.00017867278,0.00016754043,0.00014863531,0.000022946284,0.00007614682,0.00009937208,0.0000050465055],"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":[0.0005015654,0.00009981861,0.16296175,0.000050493403,0.00024069301,7.150076e-7,0.000033146916,0.00006520252,0.81480646,0.000031274667,0.01689037,0.0043185307],"study_design_scores_gemma":[0.0036538218,0.00032747863,0.060857236,0.000109741064,0.000095773954,0.000007173433,0.0001734585,0.0005531829,0.923661,0.0004040221,0.009794506,0.00036262078],"about_ca_topic_score_codex":0.00087196246,"about_ca_topic_score_gemma":0.0022746252,"teacher_disagreement_score":0.10885454,"about_ca_system_score_codex":0.00014201891,"about_ca_system_score_gemma":0.00012039379,"threshold_uncertainty_score":0.9999986},"labels":[],"label_agreement":null},{"id":"W2119796757","doi":"10.1158/1055-9965.epi-10-1224","title":"Inherited Variants in Mitochondrial Biogenesis Genes May Influence Epithelial Ovarian Cancer Risk","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Coalition for Research in Women's Health; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute","keywords":"Single-nucleotide polymorphism; Mitochondrial DNA; Biology; Mitochondrial biogenesis; Genetics; SNP; Gene; Mitochondrion; Genotype","score_opus":0.04446434081154395,"score_gpt":0.3191944926173397,"score_spread":0.27473015180579574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119796757","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":[0.97504514,0.008969595,0.009176475,0.0004483623,0.004988199,0.0007833453,0.0002462097,0.000050978986,0.0002916716],"genre_scores_gemma":[0.9239937,0.03072924,0.03301916,0.0026133098,0.0035147404,0.0023294024,0.0008916964,0.00017336548,0.0027354024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99538517,0.0019279094,0.0008904794,0.0010529725,0.00009393602,0.0006495404],"domain_scores_gemma":[0.9984654,0.00009230432,0.0005513149,0.00057384913,0.0001360451,0.00018104506],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011435784,0.00037450006,0.00053558225,0.00022593707,0.0001455528,0.000008075545,0.00035359684,0.0008046966,0.0007468088],"category_scores_gemma":[0.00070169754,0.00036675663,0.0002675646,0.00033232814,0.00030152078,0.000022253394,0.00013783922,0.00022567755,0.000043548844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019377449,0.00011720423,0.5498852,0.00002230346,0.0003491897,0.00000949269,0.00009652322,0.00012370036,0.42491084,0.000113010145,0.0025622414,0.01987253],"study_design_scores_gemma":[0.0039219675,0.0005809355,0.9018722,0.00014272358,0.0002602001,0.000033963744,0.00007052456,0.0001675652,0.057644468,0.0028713422,0.031588912,0.00084516837],"about_ca_topic_score_codex":0.007671488,"about_ca_topic_score_gemma":0.0063918433,"teacher_disagreement_score":0.3672664,"about_ca_system_score_codex":0.00008500251,"about_ca_system_score_gemma":0.00025670562,"threshold_uncertainty_score":0.99987847},"labels":[],"label_agreement":null},{"id":"W2119811461","doi":"10.1158/1055-9965.epi-10-0517","title":"Association of the Variants<i>CASP8</i>D302H and<i>CASP10</i>V410I with Breast and Ovarian Cancer Risk in<i>BRCA1</i>and<i>BRCA2</i>Mutation Carriers","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Université Laval; Centre hospitalier universitaire de Québec","funders":"National Cancer Institute; Instituto de Salud Carlos III; National Institutes of Health; Deutsche Krebshilfe; Sahlgrenska Universitetssjukhuset; Cancer Care Ontario; Akademiska Sjukhuset; Cancerfonden; Canadian Institutes of Health Research; Associazione Italiana per la Ricerca sul Cancro; Uppsala Universitet; Fox Chase Cancer Center; Lunds Universitet; National Breast Cancer Foundation; Ministerio de Ciencia e Innovación; National Institute for Health and Care Research; National Health and Medical Research Council; Cancer Research UK; Canadian Breast Cancer Research Alliance; Royal Marsden NHS Foundation Trust; Medical Research Council; Mayo Clinic; Breast Cancer Research Foundation; Deutsches Krebsforschungszentrum; Université Laval","keywords":"Breast cancer; Ovarian cancer; Oncology; Internal medicine; Allele; Hazard ratio; Medicine; Population; Cancer; Minor allele frequency; Case-control study; Bioinformatics; Allele frequency; Genetics; Biology; Confidence interval; Gene","score_opus":0.008648803637466389,"score_gpt":0.2817510814130067,"score_spread":0.2731022777755403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119811461","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":[0.9877053,0.0053920513,0.0009458177,0.0043425625,0.00074563303,0.0005926709,0.0001781632,0.000013481969,0.0000843177],"genre_scores_gemma":[0.9933093,0.0033697214,0.0021145612,0.00043011765,0.00018210374,0.00027819764,0.000058279475,0.00003249585,0.00022522997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997612,0.00069353933,0.00053127075,0.0006715691,0.00013073716,0.00036089803],"domain_scores_gemma":[0.9983922,0.00019195749,0.0007710833,0.0003709536,0.00016984665,0.000103947845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018910434,0.00025591484,0.00036413092,0.00009302123,0.00018514154,0.000015521355,0.00015865098,0.00045519162,0.00002950325],"category_scores_gemma":[0.0005042225,0.00020624482,0.00007893462,0.00024924314,0.00047309775,0.000031441654,0.0001250215,0.0003418801,3.8164453e-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":[0.00031741278,0.00003197317,0.92542917,0.00005730389,0.0006183398,8.535436e-7,0.000260145,0.00014795225,0.046656337,0.00015951133,0.00096092414,0.025360106],"study_design_scores_gemma":[0.001988465,0.00012070394,0.988065,0.00011582137,0.00032414313,0.0000646018,0.00014001445,0.00045988255,0.0040052687,0.0022090862,0.002228462,0.00027854],"about_ca_topic_score_codex":0.0019174404,"about_ca_topic_score_gemma":0.014693098,"teacher_disagreement_score":0.06263587,"about_ca_system_score_codex":0.00016063846,"about_ca_system_score_gemma":0.00034861613,"threshold_uncertainty_score":0.8410419},"labels":[],"label_agreement":null},{"id":"W2120350369","doi":"10.1158/1055-9965.epi-10-0015","title":"Occupational Exposure to Silica and Lung Cancer: Pooled Analysis of Two Case-Control Studies in Montreal, Canada","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Occupational and environmental lung diseases","field":"Medicine","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":"Université de Montréal; McGill University; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"National Cancer Institute; Cancer Research Institute; Canadian Institutes of Health Research; Health Canada; American Association for Cancer Research","keywords":"Odds ratio; Lung cancer; Confidence interval; Confounding; Population; Medicine; Environmental health; Occupational exposure; Cancer; Carcinogen; Case-control study; Toxicology; Demography; Internal medicine; Biology","score_opus":0.02952622946829853,"score_gpt":0.38495849466631804,"score_spread":0.3554322651980195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120350369","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":[0.9813528,0.015363042,0.000069031135,0.0021081867,0.00026968028,0.00045288558,0.00035866888,0.00000828455,0.000017392053],"genre_scores_gemma":[0.9977149,0.0004809777,0.00033062146,0.00086858886,0.00008086637,0.000284009,0.00011967708,0.0000075634607,0.000112846596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985704,0.00020817893,0.00052725256,0.00035762324,0.00011944438,0.00021711705],"domain_scores_gemma":[0.99883014,0.000558438,0.00020698427,0.00017128307,0.00006736234,0.00016579375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005194188,0.00015362249,0.0006334681,0.00022637552,0.000057811143,0.0000013202604,0.000046259363,0.00008061943,0.00024727706],"category_scores_gemma":[0.00036976996,0.00013301404,0.00012446812,0.0003279785,0.00015940871,0.000052762356,0.00003031727,0.00010871414,4.209976e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007947833,0.00006782024,0.9814843,0.000076282435,0.00414213,0.000040166407,0.00005157075,0.0016166825,0.0023753573,0.000026043457,0.0023440274,0.006980867],"study_design_scores_gemma":[0.001321415,0.00007889019,0.9904859,0.00009407402,0.0043306444,0.000016996975,0.00008585309,0.0032173255,0.000057866433,0.00015165599,0.00004823915,0.00011112726],"about_ca_topic_score_codex":0.4125075,"about_ca_topic_score_gemma":0.92721,"teacher_disagreement_score":0.51470244,"about_ca_system_score_codex":0.0002797201,"about_ca_system_score_gemma":0.00025979185,"threshold_uncertainty_score":0.5914047},"labels":[],"label_agreement":null},{"id":"W2120707752","doi":"10.1158/1055-9965.epi-11-0472","title":"Prognostic Significance of Cytoplasmic p27 Expression in Human Melanoma","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"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; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Melanoma; Tissue microarray; Medicine; Cancer research; Biomarker; Pathology; Oncology; Proportional hazards model; Cytoplasm; Cancer; Internal medicine; Immunohistochemistry; Biology","score_opus":0.06269212030114905,"score_gpt":0.324242944876315,"score_spread":0.26155082457516593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120707752","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":[0.99003154,0.003631596,0.0042006397,0.00004784243,0.0003398343,0.0005147128,0.00001674106,0.00001564261,0.0012014415],"genre_scores_gemma":[0.99547905,0.0002894697,0.0033024799,0.00006942838,0.000092388385,0.00028146242,0.00014821398,0.000020088612,0.00031741604],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978499,0.0005989128,0.0006246613,0.0005166535,0.000061224884,0.00034869392],"domain_scores_gemma":[0.99904627,0.0000619825,0.00039255767,0.00036506055,0.000054012617,0.00008012245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096361997,0.00019276133,0.00035820852,0.00010528871,0.000050675513,0.000001551774,0.00023592597,0.00031427862,0.0001250839],"category_scores_gemma":[0.0002438612,0.00018253886,0.0001470406,0.00010640385,0.00019432651,0.0000087820845,0.000091651025,0.00010226847,0.0000054666225],"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":[0.00017905919,0.000087283326,0.4380376,0.00004867795,0.00005279387,0.000002655749,0.000047723614,0.0000054927696,0.5586342,0.00015536761,0.00092634594,0.0018227714],"study_design_scores_gemma":[0.000803359,0.00060976425,0.45182782,0.00020932624,0.000041325307,0.0000063310454,0.000056706886,0.000025358615,0.5409155,0.004144925,0.0011173903,0.00024219995],"about_ca_topic_score_codex":0.00018567883,"about_ca_topic_score_gemma":0.0003045777,"teacher_disagreement_score":0.017718723,"about_ca_system_score_codex":0.00003237032,"about_ca_system_score_gemma":0.00009265441,"threshold_uncertainty_score":0.7443719},"labels":[],"label_agreement":null},{"id":"W2120827122","doi":"10.1158/1055-9965.epi-04-0374","title":"Pituitary Growth Hormone and Growth Hormone–Releasing Hormone Receptor Genes and Associations with Mammographic Measures and Serum Growth Hormone","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","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":"Health Sciences Centre; Robarts Clinical Trials; Sunnybrook Health Science Centre; Cancer Care Ontario; Women's College Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Breast Cancer Research Alliance","keywords":"IGFBP3; Endocrinology; Internal medicine; Insulin-like growth factor; Single-nucleotide polymorphism; Biology; Hormone receptor; Hormone; Breast cancer; Medicine; Growth factor; Cancer; Genotype; Receptor; Genetics; Gene","score_opus":0.03121545216636933,"score_gpt":0.2888549948641306,"score_spread":0.25763954269776124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120827122","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":[0.76586545,0.22180434,0.0012512733,0.009250674,0.0001504294,0.0011527484,0.000120510886,0.00022652543,0.00017807832],"genre_scores_gemma":[0.82950926,0.16131502,0.0068049734,0.0010938863,0.00048630868,0.00023857589,0.00029878272,0.0001162477,0.00013694623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943322,0.0009276901,0.0014505368,0.001519422,0.0004879707,0.0012821878],"domain_scores_gemma":[0.99659824,0.0006700608,0.0008735918,0.0004657129,0.00055779685,0.00083461194],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002133663,0.00092330994,0.0016568057,0.0008091611,0.00072885724,0.000064338055,0.00021310305,0.00086531474,0.000016329628],"category_scores_gemma":[0.00085114554,0.0008035134,0.00028573375,0.0008997454,0.0011102987,0.0009630009,0.0001930905,0.000779461,0.000009625049],"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":[0.0030739997,0.00039390294,0.87325174,0.00021911382,0.003071239,0.00002638038,0.0005980118,0.0000018185787,0.059332527,0.0009868614,0.021289922,0.03775451],"study_design_scores_gemma":[0.0058672884,0.002107887,0.9834398,0.00020493875,0.0014304816,0.00017911974,0.00028935293,0.0002227917,0.00080668693,0.0035388872,0.0010174207,0.0008953701],"about_ca_topic_score_codex":0.0012110317,"about_ca_topic_score_gemma":0.00018677025,"teacher_disagreement_score":0.11018807,"about_ca_system_score_codex":0.00035082575,"about_ca_system_score_gemma":0.0002257986,"threshold_uncertainty_score":0.99944156},"labels":[],"label_agreement":null},{"id":"W2121549630","doi":"10.1158/1055-9965.epi-07-0120","title":"No Effect of Exercise on Colon Mucosal Prostaglandin Concentrations: A 12-Month Randomized Controlled Trial","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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 of Alberta; Immunovaccine (Canada)","funders":"National Center for Research Resources; National Cancer Institute; National Institute on Aging","keywords":"Medicine; Prostaglandin E2; Prostaglandin; Internal medicine; Randomized controlled trial; Colorectal cancer; Body mass index; Aerobic exercise; Gastroenterology; Endocrinology; Physiology; Cancer","score_opus":0.02457822513865788,"score_gpt":0.35611139879836845,"score_spread":0.3315331736597106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121549630","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":[0.94721234,0.010586233,0.006130054,0.0007454233,0.006194431,0.024476811,0.000018663295,0.00021979785,0.0044162697],"genre_scores_gemma":[0.99268425,0.0007752179,0.00051609956,0.00019982806,0.000492575,0.0031923174,0.00011175226,0.000027340211,0.0020006155],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99550664,0.0018903309,0.001444316,0.0004911661,0.00022843463,0.00043910544],"domain_scores_gemma":[0.9938847,0.004499283,0.0009489531,0.00027831204,0.00017853835,0.00021020997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011618234,0.00030120695,0.0025919608,0.00026074811,0.000106512656,0.000005288924,0.000077759345,0.00037448807,0.00016265482],"category_scores_gemma":[0.006569162,0.00021286923,0.00093730906,0.00021342322,0.00033696656,0.00007060974,0.000019858453,0.00026035708,0.000010991346],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97188145,0.00017283713,0.010455149,0.00015987887,0.0007333052,0.0000056807917,0.00003400582,0.000008054507,0.0009016865,0.000071096685,0.0035343217,0.012042538],"study_design_scores_gemma":[0.9730992,0.014896065,0.002499895,0.0011245006,0.0015646972,0.000005636263,0.000011908425,0.0014219697,0.004216714,0.00029077963,0.0006799402,0.0001887325],"about_ca_topic_score_codex":0.0003699763,"about_ca_topic_score_gemma":0.00024999125,"teacher_disagreement_score":0.045471936,"about_ca_system_score_codex":0.00032011772,"about_ca_system_score_gemma":0.00023602955,"threshold_uncertainty_score":0.8680555},"labels":[],"label_agreement":null},{"id":"W2121589762","doi":"10.1158/1055-9965.epi-08-0622","title":"Influence of Evolution in Tumor Biobanking on the Interpretation of Translational Research","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","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":"BC Cancer Agency; University of Manitoba","funders":"","keywords":"Biobank; Translational research; Breast cancer; Medicine; Data collection; Cryopreservation; Oncology; Internal medicine; Bioinformatics; Biology; Gynecology; Cancer; Pathology; Genetics","score_opus":0.07289483098383932,"score_gpt":0.39199174320928215,"score_spread":0.31909691222544284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121589762","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":[0.99309397,0.0037826826,0.0014989735,0.0011420012,0.000067253735,0.00029021548,0.000017129227,0.0000036666381,0.00010409171],"genre_scores_gemma":[0.9989367,0.00044819256,0.00029020925,0.000071901755,0.00004028261,0.00015130326,0.00003782256,0.0000074737795,0.000016116664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809074,0.000862408,0.0004452836,0.00027834342,0.00012480158,0.00019840653],"domain_scores_gemma":[0.99896103,0.00040037028,0.00024235644,0.0002039253,0.00017383894,0.000018476128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015683392,0.00010212802,0.00020920073,0.00013592998,0.000084167885,6.293267e-7,0.00013829171,0.000096140626,0.000010186979],"category_scores_gemma":[0.00060096185,0.00008018144,0.00009664303,0.0002440895,0.00056792336,0.000008185365,0.000037536767,0.000103455524,0.000001448866],"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":[0.0013367719,0.00013378475,0.9297135,0.00004545328,0.00024957984,8.6420675e-7,0.00030182424,0.008865437,0.054519724,0.001793724,0.0005000999,0.0025392638],"study_design_scores_gemma":[0.00046952715,0.00018021179,0.9803719,0.0002372087,0.000015801255,0.000004391253,0.00007313859,0.0003280243,0.0131877875,0.0050048213,0.000058187536,0.00006902521],"about_ca_topic_score_codex":0.00045274835,"about_ca_topic_score_gemma":0.00034674074,"teacher_disagreement_score":0.050658405,"about_ca_system_score_codex":0.000082871826,"about_ca_system_score_gemma":0.00015011351,"threshold_uncertainty_score":0.32697043},"labels":[],"label_agreement":null},{"id":"W2121688629","doi":"10.1158/1055-9965.epi-04-0944","title":"Racial Differences in Premenopausal Endogenous Hormones","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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":"McGill University; Jewish General Hospital","funders":"","keywords":"Internal medicine; Sex hormone-binding globulin; Endocrinology; Luteal phase; Prolactin; Breast cancer; Hormone; Medicine; Nurses' Health Study; Cancer; Prospective cohort study; Androgen","score_opus":0.15308301676818042,"score_gpt":0.38911748692531234,"score_spread":0.23603447015713191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121688629","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":[0.96934825,0.022763886,0.00055575965,0.004960502,0.00063430995,0.0006878788,0.000014215525,0.00007594183,0.00095926947],"genre_scores_gemma":[0.99373007,0.0033231622,0.0009580187,0.0005613658,0.00061983155,0.0002175321,0.000053049753,0.000019197543,0.0005177891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979557,0.00031320905,0.00066316477,0.0004630845,0.00011433581,0.000490505],"domain_scores_gemma":[0.99914056,0.00020010842,0.00024007735,0.000231281,0.000043859738,0.00014408467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009136146,0.00021675331,0.00063656253,0.00019092251,0.000072288676,0.0000050546855,0.00010706204,0.00023374661,0.0005199308],"category_scores_gemma":[0.0002033635,0.00018367618,0.0001548786,0.00019432869,0.00018077949,0.00012618687,0.000038855713,0.00022335922,0.00003192193],"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":[0.0008734293,0.00017078446,0.80535877,0.00004460371,0.00022048294,0.000009696425,0.000271815,0.000010049841,0.0069336845,0.00012920219,0.0021417132,0.18383579],"study_design_scores_gemma":[0.0020839693,0.0005496759,0.9836038,0.00020382306,0.00016925087,0.000029748297,0.000076844335,0.0003710598,0.00087304733,0.0012069469,0.010598881,0.0002329874],"about_ca_topic_score_codex":0.0011148294,"about_ca_topic_score_gemma":0.0026446485,"teacher_disagreement_score":0.1836028,"about_ca_system_score_codex":0.00039706536,"about_ca_system_score_gemma":0.00018169972,"threshold_uncertainty_score":0.7490097},"labels":[],"label_agreement":null},{"id":"W2121898957","doi":"10.1158/1055-9965.epi-09-0884","title":"Influence of Nurses on Compliance with Breast Screening Recommendations in an Organized Breast Screening Program","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario; University of Toronto","funders":"Cancer Care Ontario","keywords":"Medicine; Odds ratio; Confidence interval; Attendance; Breast cancer; Logistic regression; Breast cancer screening; Family medicine; Cohort; Obstetrics; Cancer; Mammography; Internal medicine","score_opus":0.1267050226086721,"score_gpt":0.44913364556636287,"score_spread":0.32242862295769076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121898957","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":[0.9902813,0.00028723598,0.002215536,0.005653409,0.00017929391,0.0010654589,0.000056196524,0.00012712702,0.00013443771],"genre_scores_gemma":[0.9477482,0.00007410085,0.05088044,0.0006017552,0.0001271879,0.00024907323,0.00021673371,0.000033458753,0.00006906833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973007,0.00042265397,0.00083281007,0.0006693142,0.00021607279,0.0005584546],"domain_scores_gemma":[0.99794024,0.0002974575,0.0006082905,0.0005110575,0.00039620252,0.00024673718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015192399,0.00029784048,0.0007239905,0.00026347392,0.00014119656,0.000012476763,0.0002541685,0.0002576936,0.00017030924],"category_scores_gemma":[0.00031902746,0.00025655254,0.000119819306,0.00070317695,0.0003819535,0.0004592565,0.00004711431,0.0005960837,0.0000051766165],"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":[0.0022424425,0.00022241985,0.76638424,0.000055448974,0.0001406129,0.000008688858,0.000074362346,0.00064642786,0.005181151,0.00012751902,0.00030039865,0.22461627],"study_design_scores_gemma":[0.002316001,0.0008543723,0.9899271,0.003020415,0.00013530586,0.00030686232,0.00024811694,0.0017939328,0.0004540767,0.00025384015,0.00042901112,0.00026092355],"about_ca_topic_score_codex":0.002061251,"about_ca_topic_score_gemma":0.0046776407,"teacher_disagreement_score":0.22435534,"about_ca_system_score_codex":0.0001322558,"about_ca_system_score_gemma":0.00022046649,"threshold_uncertainty_score":0.9999887},"labels":[],"label_agreement":null},{"id":"W2122007974","doi":"10.1158/1055-9965.epi-12-0075","title":"A Randomized Trial of Aerobic Exercise and Sleep Quality in Lymphoma Patients Receiving Chemotherapy or No Treatments","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","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":"Saint John Regional Hospital; Alberta Health Services; University of Alberta; University of New Brunswick","funders":"","keywords":"Pittsburgh Sleep Quality Index; Medicine; Aerobic exercise; Subgroup analysis; Body mass index; Randomized controlled trial; Lymphoma; Clinical endpoint; Confidence interval; Internal medicine; Physical therapy; Sleep quality; Psychiatry; Insomnia","score_opus":0.05508904442281932,"score_gpt":0.38597003252555717,"score_spread":0.33088098810273786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122007974","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":[0.98582,0.009689564,0.000117803145,0.00044198064,0.001413929,0.0022818611,0.0000094886655,0.00002507854,0.00020030733],"genre_scores_gemma":[0.99001086,0.0075870077,0.0004945877,0.00027320485,0.00016567702,0.0007810585,0.000090977584,0.00002347307,0.0005731548],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9966039,0.0015760715,0.00094571896,0.00035412848,0.00012573916,0.00039444622],"domain_scores_gemma":[0.9979831,0.0009113164,0.00058414356,0.00027126027,0.000096088144,0.00015408441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004092106,0.0002276544,0.001446516,0.00015417268,0.0000364997,0.0000024824071,0.00006311475,0.0002593894,0.00017714896],"category_scores_gemma":[0.0010296674,0.00016895864,0.0003014955,0.00020261371,0.00022028401,0.00013836223,0.000030176843,0.000075223295,0.000003966267],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5481949,0.00043854554,0.2949718,0.00013398763,0.00037658954,3.5570147e-7,0.00036483552,1.703266e-7,0.00005608937,0.000011502526,0.00020937076,0.15524185],"study_design_scores_gemma":[0.635167,0.0004214659,0.3625039,0.0006184893,0.00039498135,0.0000012872365,0.000060924023,0.000032944125,0.00016660776,0.00021893204,0.00026963776,0.00014386256],"about_ca_topic_score_codex":0.002017699,"about_ca_topic_score_gemma":0.0006568769,"teacher_disagreement_score":0.15509799,"about_ca_system_score_codex":0.00031190677,"about_ca_system_score_gemma":0.000094797084,"threshold_uncertainty_score":0.68899333},"labels":[],"label_agreement":null},{"id":"W2122236503","doi":"10.1158/1055-9965.epi-15-0334-t","title":"Body Mass Index at Diagnosis and Breast Cancer Survival Prognosis in Clinical Trial Populations from NRG Oncology/NSABP B-30, B-31, B-34, and B-38","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Internal medicine; Body mass index; Oncology; Proportional hazards model; Cyclophosphamide; Cancer; Estrogen receptor; Gynecology; Chemotherapy","score_opus":0.3015977724357552,"score_gpt":0.4986360570958649,"score_spread":0.1970382846601097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122236503","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":[0.9703705,0.012280932,0.00014907338,0.011971107,0.0030122136,0.0017379404,0.00028936012,0.00006203562,0.00012684673],"genre_scores_gemma":[0.9857959,0.010180394,0.0006134754,0.00054267555,0.0010884259,0.0013188847,0.00023645954,0.000040401846,0.000183345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952877,0.0014185258,0.0015293766,0.0010058265,0.00019979256,0.0005587686],"domain_scores_gemma":[0.99716836,0.0011244571,0.00067522074,0.0003191267,0.00013987029,0.00057298795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034450612,0.0003586997,0.0013783206,0.00021507639,0.00012028158,0.00001399361,0.00011708679,0.000787252,0.00040749763],"category_scores_gemma":[0.00091361237,0.00031823796,0.00025888183,0.0002641918,0.000570021,0.00017728747,0.00015497675,0.00047610342,0.0000090309295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018264193,0.00030939147,0.91128737,0.000033368808,0.0004697654,0.000014934352,0.00008917477,0.000007009537,0.00003207876,0.0000318793,0.012180172,0.057280663],"study_design_scores_gemma":[0.031479336,0.0007565332,0.95596987,0.00031112964,0.00053815526,0.000013639899,0.00017125178,0.0006591353,0.000008646347,0.0021621976,0.007633705,0.00029641],"about_ca_topic_score_codex":0.015701521,"about_ca_topic_score_gemma":0.014020776,"teacher_disagreement_score":0.056984253,"about_ca_system_score_codex":0.0012753262,"about_ca_system_score_gemma":0.000588334,"threshold_uncertainty_score":0.999927},"labels":[],"label_agreement":null},{"id":"W2122573338","doi":"10.1158/1055-9965.epi-06-0164","title":"The Case for a Genetic Predisposition to Serrated Neoplasia in the Colorectum: Hypothesis and Review of the Literature","year":2006,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":103,"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 Cancer Institute; U.S. Public Health Service","keywords":"Genetic predisposition; Medicine; Genetics; Biology; Gene","score_opus":0.06734053964690791,"score_gpt":0.39713944917224026,"score_spread":0.32979890952533236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122573338","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":[0.0015598964,0.9847786,0.000056345347,0.0036505053,0.00070159126,0.009032617,0.00016758137,0.000012341902,0.000040562692],"genre_scores_gemma":[0.00028463974,0.9925546,0.0010471311,0.0011603116,0.00018752468,0.004365521,0.000117629796,0.000042629345,0.00024001888],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945228,0.0029409616,0.001383656,0.0006002213,0.00013933633,0.00041301237],"domain_scores_gemma":[0.9944445,0.0036609045,0.0009363313,0.000698042,0.00018691955,0.00007331121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032775642,0.00043101315,0.0016157547,0.0001247373,0.00017855671,0.000014311466,0.0003491591,0.0005208501,0.000014246222],"category_scores_gemma":[0.0021839764,0.00020236002,0.0006686032,0.00089871883,0.00029374234,0.000024435809,0.000081245315,0.00041298533,0.0000012840849],"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":[0.0002436577,0.000048705893,0.0006723916,0.064481035,0.00049956876,0.000025550851,0.000095432115,0.000002805399,0.0000066587086,0.000019124793,0.054938238,0.8789668],"study_design_scores_gemma":[0.0006685222,0.0006702251,0.010662378,0.21909237,0.005247125,0.0024500664,0.000040228897,0.000041555784,0.000008489504,0.0013478225,0.7594103,0.00036087027],"about_ca_topic_score_codex":0.00012588133,"about_ca_topic_score_gemma":0.0010287653,"teacher_disagreement_score":0.87860596,"about_ca_system_score_codex":0.00039222595,"about_ca_system_score_gemma":0.00050565135,"threshold_uncertainty_score":0.8252002},"labels":[],"label_agreement":null},{"id":"W2122594005","doi":"10.1158/1055-9965.epi-13-0889","title":"Genetic Variation in Prostate-Specific Antigen–Detected Prostate Cancer and the Effect of Control Selection on Genetic Association Studies","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","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":"McGill University and Génome Québec Innovation Centre","funders":"National Institute for Health and Care Research; Cancer Research UK; Wellcome Trust","keywords":"Prostate cancer; Single-nucleotide polymorphism; Prostate; Prostate-specific antigen; Oncology; Genome-wide association study; Medicine; Cancer; Internal medicine; Prostate biopsy; Case-control study; Biology; Genotype; Genetics; Gene","score_opus":0.03758709340597965,"score_gpt":0.379616277239817,"score_spread":0.34202918383383735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122594005","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":[0.030697554,0.95926976,0.00006561537,0.0009491686,0.0007844763,0.008104943,0.000082358616,0.000040023402,0.000006119496],"genre_scores_gemma":[0.016570164,0.97365624,0.00012777174,0.00010769856,0.00024641244,0.009027732,0.000096321164,0.00006304818,0.000104607396],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9918876,0.0046347957,0.0017780962,0.00092436536,0.0002366734,0.0005384201],"domain_scores_gemma":[0.99180347,0.00499334,0.0025396934,0.00034381,0.00022854033,0.00009115028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038843611,0.000632932,0.0037169354,0.00037640383,0.00012891143,0.000012750973,0.000103776154,0.00047600624,0.000020367408],"category_scores_gemma":[0.001319574,0.0003898214,0.000543264,0.0005147697,0.0002675885,0.00005394875,0.00003779828,0.00043497642,0.0000057065977],"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":[0.002733485,0.00008015434,0.18796833,0.009463782,0.0050301375,0.0000047387625,0.00014642444,0.00012268344,0.000017260016,0.000019064228,0.0009109278,0.79350305],"study_design_scores_gemma":[0.029892968,0.006549943,0.7756372,0.056767568,0.014077047,0.000031798983,0.000022341645,0.00071844895,0.0000785822,0.00097576133,0.11431016,0.00093819114],"about_ca_topic_score_codex":0.0004889645,"about_ca_topic_score_gemma":0.00028071017,"teacher_disagreement_score":0.7925648,"about_ca_system_score_codex":0.002296912,"about_ca_system_score_gemma":0.0003033694,"threshold_uncertainty_score":0.99985534},"labels":[],"label_agreement":null},{"id":"W2122622876","doi":"10.1158/1055-9965.epi-08-0625","title":"Prevalence and Age Distribution of Human Papillomavirus Infection in a Population of Inuit Women in Nunavik, Quebec","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":47,"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; Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"McGill University","keywords":"Squamous intraepithelial lesion; Medicine; HPV infection; Population; Human papillomavirus; Gynecology; Cervical cancer; Papillomaviridae; Cohort; Demography; Cervical intraepithelial neoplasia; Obstetrics; Cancer; Internal medicine; Environmental health","score_opus":0.06760015931275719,"score_gpt":0.40207391421696603,"score_spread":0.33447375490420883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122622876","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":[0.9968237,0.0022810337,0.00005515619,0.00012941255,0.000052199972,0.00055523706,0.000018335782,0.0000117764985,0.00007313029],"genre_scores_gemma":[0.99631584,0.0030766146,0.00002996216,0.000023662029,0.000032139007,0.00016576065,0.00013112715,0.0000079752135,0.0002169103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800265,0.00051537016,0.0007432004,0.0003017333,0.00012641045,0.000310613],"domain_scores_gemma":[0.99924165,0.00016472231,0.00026122437,0.00016624916,0.00007546234,0.00009071928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017357096,0.00011515211,0.00055695337,0.00022906606,0.00003546799,0.0000011010519,0.00004658243,0.00019875931,0.00024817532],"category_scores_gemma":[0.00045770162,0.00011170347,0.000077410514,0.00037618782,0.00028762926,0.00011471005,0.000041482537,0.00018671609,6.150464e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069381716,0.0001414857,0.97047,0.0006161883,0.0000419146,0.0000058787573,0.00044140578,0.000012756071,0.0024392088,0.000119781886,0.00003567754,0.024981903],"study_design_scores_gemma":[0.0016414099,0.00035765333,0.99349564,0.000324143,0.000026032372,0.00000588769,0.000016599697,0.00013441494,0.00032763297,0.0035699625,0.000019763267,0.000080864374],"about_ca_topic_score_codex":0.100593306,"about_ca_topic_score_gemma":0.060262147,"teacher_disagreement_score":0.040331155,"about_ca_system_score_codex":0.0010833888,"about_ca_system_score_gemma":0.00015260396,"threshold_uncertainty_score":0.95688564},"labels":[],"label_agreement":null},{"id":"W2122837097","doi":"10.1158/1055-9965.epi-09-1098","title":"Breast Cancer and Urinary Biomarkers of Polycyclic Aromatic Hydrocarbon and Oxidative Stress in the Shanghai Women's Health Study","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Toxic Organic Pollutants Impact","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":"Occupational Cancer Research Centre; Cancer Care Ontario","funders":"National Cancer Institute","keywords":"Breast cancer; Malondialdehyde; Medicine; Oxidative stress; Family history; Cancer; Urinary system; Physiology; Internal medicine; Urine; Obstetrics; Menarche; Gynecology","score_opus":0.020025822097163904,"score_gpt":0.3234894943894333,"score_spread":0.3034636722922694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122837097","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":[0.99280345,0.0014969643,0.000015310161,0.0043878895,0.00023201482,0.0009103697,0.00008294785,0.000019270547,0.000051751602],"genre_scores_gemma":[0.9987074,0.0005294362,0.00016311972,0.0003566624,0.000033732107,0.00015899038,0.0000028478303,0.000017520453,0.00003024777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99688566,0.0012194354,0.0006214537,0.0005442655,0.00016714219,0.0005620212],"domain_scores_gemma":[0.9984723,0.00046382696,0.0005242809,0.0003608037,0.0000011026453,0.0001777115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030172311,0.00024529948,0.0004891616,0.000113834125,0.00012256381,0.000008635778,0.00027827758,0.00013602569,0.00022011714],"category_scores_gemma":[0.00014244093,0.00018170965,0.00004587566,0.00037219963,0.0007474878,0.0002183455,0.00016171641,0.00026179635,0.0000026746923],"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":[0.00016517597,0.00032709425,0.8546352,0.000018463026,0.00017464758,0.000003294962,0.0025683735,0.0000014259995,0.008432424,0.0000025901181,0.000120392026,0.13355094],"study_design_scores_gemma":[0.00088232115,0.0003969417,0.99311024,0.00009046503,0.000038998027,0.000053618183,0.0031837719,0.00024334932,0.00011970572,0.0016966059,0.000019031208,0.00016497524],"about_ca_topic_score_codex":0.004893482,"about_ca_topic_score_gemma":0.0075529916,"teacher_disagreement_score":0.13847505,"about_ca_system_score_codex":0.0003293974,"about_ca_system_score_gemma":0.00006906091,"threshold_uncertainty_score":0.7409904},"labels":[],"label_agreement":null},{"id":"W2123326798","doi":"10.1158/1055-9965.epi-06-1059","title":"Excess Body Weight and Colorectal Cancer Risk in Canada: Associations in Subgroups of Clinically Defined Familial Risk of Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Cancer Care Ontario; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Medicine; Colorectal cancer; Body mass index; Overweight; Cancer; Odds ratio; Internal medicine; Obesity; Population; Oncology; Family history; Gynecology; Relative risk; Risk factor; Confidence interval; Demography","score_opus":0.0284756745457279,"score_gpt":0.35749833836579936,"score_spread":0.32902266382007145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123326798","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":[0.98044294,0.015844123,0.00020766858,0.0006474514,0.0013524982,0.00093261036,0.00043896126,0.000013114307,0.00012062663],"genre_scores_gemma":[0.97941655,0.018622288,0.0012863472,0.00014806015,0.00013519626,0.00026670625,0.00005423897,0.00002898425,0.000041647665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951187,0.0010229403,0.0023127967,0.0006329483,0.00027455846,0.00063804927],"domain_scores_gemma":[0.9947988,0.0026629248,0.0018562527,0.00025535244,0.0002415259,0.00018518069],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049754987,0.00029242111,0.0013102179,0.0003132401,0.000054523432,0.0000016310831,0.00016981068,0.00044842353,0.0001806083],"category_scores_gemma":[0.0029217387,0.0002790487,0.00018804854,0.00063458225,0.00037350212,0.000064433996,0.000082558625,0.00055894523,3.858157e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002382859,0.00012927152,0.9742536,0.00012301539,0.0005822546,0.0000059285144,0.00015148727,0.00017999894,0.004016595,0.00002112345,0.00052563427,0.017628219],"study_design_scores_gemma":[0.0032615429,0.00032492768,0.99083227,0.00043944886,0.00047186387,0.0000019722133,0.00012828293,0.0008692893,0.0023990143,0.00094451284,0.000105390325,0.00022150268],"about_ca_topic_score_codex":0.91862607,"about_ca_topic_score_gemma":0.9882217,"teacher_disagreement_score":0.06959559,"about_ca_system_score_codex":0.0026295083,"about_ca_system_score_gemma":0.002931142,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W2123494008","doi":"10.1158/1055-9965.epi-12-0073","title":"Circulating Biomarkers of Iron Storage and Clearance of Incident Human Papillomavirus Infection","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":31,"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","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Hazard ratio; Ferritin; Soluble transferrin receptor; Medicine; Transferrin receptor; Phlebotomy; Proportional hazards model; Immunology; HPV infection; Confidence interval; Internal medicine; Physiology; Cancer; Transferrin; Iron status; Cervical cancer; Iron deficiency; Anemia","score_opus":0.054185425908505926,"score_gpt":0.3792343361741606,"score_spread":0.32504891026565463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123494008","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":[0.96948856,0.027582774,0.0014343413,0.00017685538,0.00047697488,0.00044562097,0.000006679361,0.000030493646,0.00035770127],"genre_scores_gemma":[0.9967439,0.0017194513,0.0011254931,0.00011610114,0.00011864249,0.00004144709,0.00004128494,0.000020864887,0.00007278818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979042,0.0005478866,0.0007844265,0.0002834811,0.00012437336,0.0003556657],"domain_scores_gemma":[0.9986215,0.00016004214,0.00074349565,0.0002593673,0.00007555064,0.00014002855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002166163,0.00018347023,0.0006290072,0.00020621123,0.000086042994,0.0000015915076,0.000050691942,0.00022701864,0.00011263145],"category_scores_gemma":[0.00041811145,0.00017361395,0.00018389711,0.00020455867,0.00038449056,0.00019867807,0.000049144455,0.00012603935,0.0000024064116],"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":[0.0003215482,0.00013256072,0.912859,0.00062541437,0.0001640674,7.6142305e-7,0.00019143053,0.000015351708,0.056159656,0.00048303636,0.00039405463,0.028653113],"study_design_scores_gemma":[0.0014052043,0.0001601135,0.9943993,0.0002966704,0.00036413025,0.000015389078,0.000113964146,0.00006724611,0.002007378,0.0006971172,0.00033369014,0.00013978989],"about_ca_topic_score_codex":0.0015033401,"about_ca_topic_score_gemma":0.0000814926,"teacher_disagreement_score":0.0815403,"about_ca_system_score_codex":0.00008455047,"about_ca_system_score_gemma":0.00004819572,"threshold_uncertainty_score":0.7079772},"labels":[],"label_agreement":null},{"id":"W2123702717","doi":"10.1158/1055-9965.epi-09-0517","title":"Associations between Smoking, Alcohol Consumption, and Colorectal Cancer, Overall and by Tumor Microsatellite Instability Status","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario","funders":"National Cancer Institute; National Institutes of Health; Mayo Clinic","keywords":"Medicine; Colorectal cancer; Odds ratio; Microsatellite instability; Internal medicine; Confidence interval; Population; Cancer; Logistic regression; Oncology; Demography; Environmental health; Microsatellite; Allele; Biology; Genetics","score_opus":0.05313330370674879,"score_gpt":0.36928414901815115,"score_spread":0.31615084531140236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123702717","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":[0.9621895,0.032975376,0.00044066532,0.0028064642,0.00032029784,0.00072143355,0.00033579158,0.00012495936,0.00008551035],"genre_scores_gemma":[0.9906823,0.006982873,0.0006544952,0.00083892705,0.00018339221,0.00011556265,0.00038859143,0.000016569551,0.00013730886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975814,0.0004794463,0.0006534514,0.0006633419,0.00012374799,0.000498579],"domain_scores_gemma":[0.99854785,0.00043968897,0.0004469242,0.00016201244,0.00012399346,0.00027950885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013007822,0.0002527766,0.00067855354,0.00012162449,0.0002474773,0.000019364072,0.000049468985,0.00027157873,0.00007138842],"category_scores_gemma":[0.0004878448,0.00025144572,0.00012182873,0.00016458487,0.00029481354,0.00016832251,0.000036898262,0.00030741605,0.0000016761779],"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":[0.0010401139,0.0000457229,0.9097966,0.00004084818,0.0003014297,0.0000010837597,0.00008674055,0.0000015421222,0.0047988473,0.000025222029,0.0035593568,0.08030249],"study_design_scores_gemma":[0.0020067296,0.00091394124,0.9878727,0.00016359371,0.00038390304,0.000014120145,0.000013637019,0.00013943545,0.0017517386,0.0020937144,0.0044175624,0.000228907],"about_ca_topic_score_codex":0.0023306285,"about_ca_topic_score_gemma":0.00060785905,"teacher_disagreement_score":0.08007358,"about_ca_system_score_codex":0.0006370898,"about_ca_system_score_gemma":0.00016385717,"threshold_uncertainty_score":0.9999938},"labels":[],"label_agreement":null},{"id":"W2123978014","doi":"10.1158/1055-9965.epi-10-1024","title":"Serum C-Reactive Protein and Risk of Pancreatic Cancer in Two Nested, Case–Control Studies","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","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":"Jewish General Hospital","funders":"National Institutes of Health","keywords":"Medicine; Pancreatic cancer; Internal medicine; Nested case-control study; Cancer prevention; Cancer; C-reactive protein; Case-control study; Prospective cohort study; Cancer screening; Oncology; Cohort study; Prostate cancer; Colorectal cancer; Gastroenterology; Inflammation","score_opus":0.07201157065060032,"score_gpt":0.3932497905346769,"score_spread":0.3212382198840766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123978014","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":[0.9426309,0.053946815,0.00018413735,0.00043930087,0.00027443637,0.00223261,0.000112929396,0.000050034356,0.00012881932],"genre_scores_gemma":[0.99190986,0.0033089395,0.0025234688,0.00012643397,0.000084496685,0.0019131687,0.0000067611627,0.00003356331,0.00009330514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99589545,0.0018498233,0.0010211127,0.0006279563,0.000113047085,0.0004926396],"domain_scores_gemma":[0.99767476,0.0006649996,0.0008822406,0.00037334053,0.00022988173,0.00017478946],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002929767,0.0003336744,0.0011235429,0.00030514025,0.00009338081,0.0000022264858,0.0000926685,0.00020333099,0.00018406089],"category_scores_gemma":[0.0014339281,0.00028564446,0.00022102367,0.0002919323,0.00069889997,0.00017268483,0.00007173624,0.0002538807,0.0000030572587],"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":[0.0028216024,0.00014187205,0.95854247,0.00057336065,0.005134772,0.00023852642,0.00059172604,0.0000041345097,0.0012409043,0.000092503404,0.00011819753,0.030499948],"study_design_scores_gemma":[0.004839808,0.00025511452,0.98071593,0.0018582417,0.0031207688,0.00015741248,0.00095701905,0.00056086964,0.0024025291,0.0048378883,0.00002635856,0.0002680488],"about_ca_topic_score_codex":0.003462484,"about_ca_topic_score_gemma":0.00329777,"teacher_disagreement_score":0.05063788,"about_ca_system_score_codex":0.00034948112,"about_ca_system_score_gemma":0.00021328054,"threshold_uncertainty_score":0.9999596},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2124082515","doi":"10.1158/1055-9965.681.13.5","title":"SNPs, Haplotypes, and Cancer: Applications in Molecular Epidemiology","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"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":"Single-nucleotide polymorphism; Haplotype; Genetic association; Genetics; Tag SNP; Genetic epidemiology; Biology; SNP; Haplotype estimation; Epidemiology; Genome-wide association study; Computational biology; Bioinformatics; Medicine; Gene; Genotype; Pathology","score_opus":0.027791290822430616,"score_gpt":0.3487699082830223,"score_spread":0.3209786174605917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124082515","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":[0.79099774,0.10811567,0.0871933,0.01186068,0.00044737308,0.0010608293,0.000057971138,0.0000471796,0.0002192158],"genre_scores_gemma":[0.93958074,0.029172134,0.024713764,0.0031889584,0.0003264218,0.0019827867,0.00062687264,0.00005897475,0.0003493397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962091,0.0011123506,0.0009510955,0.00095305993,0.000052779447,0.00072162255],"domain_scores_gemma":[0.99848104,0.000313349,0.0004876976,0.00045154302,0.00008319803,0.00018320557],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025693532,0.00031604298,0.00069664913,0.00015137052,0.00014249877,0.00000387429,0.00024516002,0.0006433417,0.00003425023],"category_scores_gemma":[0.0011176802,0.0003126023,0.00019080026,0.00022406936,0.00038846262,0.0000096925105,0.000152158,0.00022138144,0.000009022954],"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":[0.00007495957,0.00009116177,0.96328443,0.00003485924,0.00030533216,0.0000014760388,0.000027771312,0.003133428,0.009620844,0.004229586,0.0014123733,0.017783804],"study_design_scores_gemma":[0.0017879304,0.00027996948,0.8776632,0.000103070226,0.00013431729,0.000016170463,0.000098774624,0.00020630896,0.0011635865,0.08556999,0.03242636,0.0005503414],"about_ca_topic_score_codex":0.0014903384,"about_ca_topic_score_gemma":0.0018258406,"teacher_disagreement_score":0.14858298,"about_ca_system_score_codex":0.00017941845,"about_ca_system_score_gemma":0.00024122828,"threshold_uncertainty_score":0.9999326},"labels":[],"label_agreement":null},{"id":"W2124219217","doi":"10.1158/1055-9965.573.13.4","title":"A Polymorphic Locus in the Promoter Region of the <i>IGFBP3</i> Gene Is Related to Mammographic Breast Density","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":60,"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; Coalition for Research in Women's Health; Jewish General Hospital; University of Toronto","funders":"","keywords":"IGFBP3; Breast cancer; Medicine; Mammography; Oncology; Genotype; Family history; Internal medicine; MAMMOGRAPHIC DENSITY; Gynecology; Risk factors for breast cancer; Insulin-like growth factor; Endocrinology; Physiology; Gene; Cancer; Biology; Growth factor; Genetics","score_opus":0.025952358727018694,"score_gpt":0.30741076109083454,"score_spread":0.28145840236381586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124219217","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":[0.94380707,0.0023576117,0.00053535,0.051648982,0.0002710522,0.0010022342,0.000012845622,0.000029287152,0.0003355562],"genre_scores_gemma":[0.9954473,0.00014736065,0.00026776383,0.003870763,0.00004517337,0.000084417756,0.000016709047,0.000016019814,0.00010449284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979059,0.0004972144,0.0006240882,0.00042006842,0.00016174835,0.00039095758],"domain_scores_gemma":[0.9988684,0.00011134393,0.00029813874,0.0005499126,0.00007882566,0.00009339871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014676421,0.00020094634,0.00042303916,0.00026566605,0.00008372724,0.0000064877913,0.0002527956,0.0001795387,0.000013560814],"category_scores_gemma":[0.00012033359,0.00012202895,0.0004520778,0.0013285516,0.00039162647,0.00011661756,0.00005980212,0.00026662316,0.0000043955883],"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":[0.000777112,0.0003506806,0.9495158,0.0001007853,0.0004600813,0.00005753893,0.0005777834,0.000025493564,0.0034880973,0.0005491411,0.001873969,0.04222352],"study_design_scores_gemma":[0.0016873613,0.00020452199,0.9677899,0.0011227925,0.00025938032,0.0023989538,0.00008752707,0.000023641862,0.0014655568,0.024498003,0.0002923888,0.00016998345],"about_ca_topic_score_codex":0.00063975475,"about_ca_topic_score_gemma":0.00016445942,"teacher_disagreement_score":0.05164022,"about_ca_system_score_codex":0.00010241101,"about_ca_system_score_gemma":0.00012155751,"threshold_uncertainty_score":0.4976196},"labels":[],"label_agreement":null},{"id":"W2124496403","doi":"10.1158/1055-9965.epi-12-0236","title":"Reproducibility of the Nicotine Metabolite Ratio in Cigarette Smokers","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":113,"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 Research Resources; National Institutes of Health; National Cancer Institute; Canadian Institutes of Health Research; National Institute on Drug Abuse; U.S. Public Health Service","keywords":"Saliva; Cotinine; Urine; Chemistry; Metabolite; Nicotine; Reproducibility; Blood plasma; Chromatography; Whole blood; Proton NMR; Internal medicine; Medicine; Biochemistry","score_opus":0.09133332446918006,"score_gpt":0.39570593247392827,"score_spread":0.3043726080047482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124496403","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":[0.9878207,0.005380948,0.00031477644,0.004347473,0.001342363,0.0005997716,0.000006590387,0.000024271645,0.0001631187],"genre_scores_gemma":[0.998536,0.00019855543,0.00016412573,0.00045062395,0.00017312706,0.00011000691,0.000049333932,0.000011820575,0.0003063909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99730146,0.00097104936,0.0007290331,0.00054214965,0.00013295525,0.0003233698],"domain_scores_gemma":[0.998141,0.0001876909,0.00041854996,0.0011019058,0.00007989279,0.00007096109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008886492,0.00013133648,0.00044760667,0.00009368589,0.00004519373,0.0000013211181,0.00010157567,0.00019173385,0.00015252667],"category_scores_gemma":[0.0021644398,0.000093857525,0.00022712191,0.00034802116,0.00021522625,0.000132611,0.000046387264,0.00021730372,9.32285e-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":[0.00015605496,0.00012897674,0.98204744,0.000047938436,0.00011107799,1.1416978e-7,0.00013817141,0.000007108686,0.00505412,0.00025102962,0.0008665291,0.011191438],"study_design_scores_gemma":[0.0007215106,0.00003229692,0.980611,0.00014721119,0.00032228263,0.0000047509966,0.000054870954,0.000028915401,0.01653298,0.00073746184,0.00072808785,0.00007862722],"about_ca_topic_score_codex":0.00038815153,"about_ca_topic_score_gemma":0.00004948391,"teacher_disagreement_score":0.011478861,"about_ca_system_score_codex":0.00020630332,"about_ca_system_score_gemma":0.00010222488,"threshold_uncertainty_score":0.3827399},"labels":[],"label_agreement":null},{"id":"W2125021464","doi":"10.1158/1055-9965.epi-11-1167","title":"Light Exposure and Melatonin among Rotating Shift Nurses—Response","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","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":"Queen's University","funders":"","keywords":"Melatonin; Chronotype; Shift work; Psychology; Circadian rhythm; Neuroscience","score_opus":0.04326661106350742,"score_gpt":0.340099641070494,"score_spread":0.2968330300069866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125021464","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":[0.97861665,0.01580199,0.0004704657,0.0023045575,0.0017990544,0.0004877633,0.000009588165,0.000118426164,0.000391521],"genre_scores_gemma":[0.99701154,0.00035300385,0.0006009447,0.0006268387,0.00027364213,0.00021230013,0.0000047682756,0.00003344328,0.00088350335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953989,0.0024842992,0.0005733663,0.00061268045,0.000114172006,0.00081661216],"domain_scores_gemma":[0.9972519,0.001667321,0.0003928034,0.00031295494,0.000018981402,0.00035599648],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031479707,0.00026617432,0.0004186438,0.00016482042,0.000275896,0.000016507462,0.00015362147,0.00030928952,0.00019342532],"category_scores_gemma":[0.002317535,0.00025132985,0.00015652394,0.00024529902,0.0002977071,0.0005437323,0.00007796096,0.00026786982,0.000057734585],"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":[0.00039090493,0.000057181387,0.93054855,0.000028412513,0.00005050181,0.000007384212,0.0012798558,0.000006206364,0.04234261,0.004324613,0.0011972456,0.01976654],"study_design_scores_gemma":[0.00069270923,0.00009687704,0.946306,0.00015432578,0.00007141556,0.00004837405,0.00011733145,0.00019578019,0.04259127,0.0013750981,0.008038548,0.00031226745],"about_ca_topic_score_codex":0.00004417822,"about_ca_topic_score_gemma":0.000024200044,"teacher_disagreement_score":0.019454272,"about_ca_system_score_codex":0.000103281694,"about_ca_system_score_gemma":0.000069379734,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W2125777364","doi":"10.1158/1055-9965.epi-09-1317","title":"Genetic Variation in <i>TYMS</i> in the One-Carbon Transfer Pathway Is Associated with Ovarian Carcinoma Types in the Ovarian Cancer Association Consortium","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"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; Alberta Health Services","funders":"National Cancer Institute; Canadian Institutes of Health Research; Cancer Research UK","keywords":"DPYD; Ovarian carcinoma; Odds ratio; Serous fluid; Ovarian cancer; Oncology; Internal medicine; Clear cell; Mucinous carcinoma; Carcinoma; Medicine; Confidence interval; Biology; Cancer; Pharmacogenetics; Genotype; Gene; Adenocarcinoma; Genetics","score_opus":0.021162961033019723,"score_gpt":0.2724238488008768,"score_spread":0.25126088776785704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125777364","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":[0.9883413,0.0018252298,0.00046012687,0.007906067,0.00038125252,0.000823497,0.00005980231,0.000008927298,0.0001938188],"genre_scores_gemma":[0.9960406,0.00051415764,0.00010990085,0.0023545807,0.00016872976,0.0005709678,0.00014623995,0.000023215378,0.000071628994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962872,0.001880206,0.0006303032,0.0005294391,0.00017520484,0.00049761805],"domain_scores_gemma":[0.99901646,0.00031802742,0.00019833205,0.00035627373,0.00006848013,0.000042405278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033362827,0.0002468685,0.00035075235,0.000115105155,0.000080673875,0.000018314478,0.00030738022,0.0005601162,0.00006022325],"category_scores_gemma":[0.00023483955,0.00017792813,0.00012028797,0.00040269844,0.000099054196,0.00001481831,0.00001495518,0.0004762121,0.0000013557757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039120833,0.00022678601,0.9177546,0.00001762085,0.0001911917,0.000009158837,0.0012243555,0.00015222117,0.077544495,0.00030275586,0.00022075046,0.0019648648],"study_design_scores_gemma":[0.002076437,0.00018713075,0.9934726,0.000072223025,0.00011130053,0.0000062976355,0.000081895625,0.00042152405,0.0016017245,0.0010667694,0.00066383474,0.00023830315],"about_ca_topic_score_codex":0.0063780257,"about_ca_topic_score_gemma":0.07595637,"teacher_disagreement_score":0.07594278,"about_ca_system_score_codex":0.0001350888,"about_ca_system_score_gemma":0.0002719063,"threshold_uncertainty_score":0.96417093},"labels":[],"label_agreement":null},{"id":"W2125884347","doi":"10.1158/1055-9965.epi-08-0880","title":"Alcohol Intake and Pancreatic Cancer Risk: A Pooled Analysis of Fourteen Cohort Studies","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":201,"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 Ontario; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Pancreatic cancer; Confidence interval; Relative risk; Internal medicine; Prospective cohort study; Cancer; Overweight; Cohort study; Cohort; Body mass index","score_opus":0.09968138383754661,"score_gpt":0.45936586564251536,"score_spread":0.35968448180496876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125884347","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":[0.93277174,0.060228813,0.0009028608,0.004713793,0.0001194789,0.0008764421,0.000035836645,0.00003616257,0.000314865],"genre_scores_gemma":[0.9336835,0.061649848,0.0026225534,0.0006230725,0.00010148454,0.00031636475,0.0000740676,0.0000120695695,0.0009170374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968296,0.0010668684,0.00092259864,0.0005530799,0.00017340807,0.00045441525],"domain_scores_gemma":[0.99725896,0.0012721576,0.0006308939,0.00037782264,0.00026735888,0.00019281663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034223509,0.00023769702,0.002105161,0.00050609827,0.000120300676,0.0000027810177,0.00010240754,0.0002677446,0.0002853928],"category_scores_gemma":[0.0019235265,0.00018655839,0.0003451037,0.00072552264,0.00056325446,0.00007016749,0.000047705184,0.00024494197,0.0000032943412],"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":[0.00074296125,0.00010409338,0.9212356,0.00009220591,0.039006665,0.000006873866,0.00018974276,0.000018558918,0.0006998694,0.00011020484,0.0021623163,0.035630915],"study_design_scores_gemma":[0.0015462026,0.00054747186,0.94942945,0.00032529177,0.04062973,0.0000070380725,0.00020190778,0.0037321004,0.000076757315,0.003206178,0.00015647295,0.00014141486],"about_ca_topic_score_codex":0.0015070846,"about_ca_topic_score_gemma":0.00074739585,"teacher_disagreement_score":0.0354895,"about_ca_system_score_codex":0.0002950888,"about_ca_system_score_gemma":0.00024187981,"threshold_uncertainty_score":0.76076305},"labels":[],"label_agreement":null},{"id":"W2126017856","doi":"10.1158/1055-9965.epi-07-2849","title":"Performance of Amplified DNA in an Illumina GoldenGate BeadArray Assay","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Cancer Foundation","funders":"National Cancer Institute; Mayo Foundation for Medical Education and Research; Minnesota Ovarian Cancer Alliance","keywords":"SNP; Single-nucleotide polymorphism; Genotyping; SNP genotyping; Biology; Genetics; genomic DNA; Genotype; Computational biology; DNA; Gene","score_opus":0.04549742947295019,"score_gpt":0.30823109253321757,"score_spread":0.26273366306026735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126017856","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":[0.99676615,0.001439693,0.00082565483,0.00019265349,0.00026457914,0.00020425019,0.00002242797,0.000010468521,0.00027411443],"genre_scores_gemma":[0.995981,0.0013209939,0.0013667572,0.00012193094,0.00012146947,0.00009307297,0.0002805193,0.000015670756,0.0006986279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813485,0.0005512588,0.00056554616,0.00038090692,0.00005824971,0.00030917025],"domain_scores_gemma":[0.9991899,0.000046060915,0.00028493121,0.00032978022,0.000080411606,0.00006893014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011234179,0.00016278094,0.00030629247,0.00008494938,0.000092800736,0.0000019699687,0.0001931903,0.00023814318,0.00006304892],"category_scores_gemma":[0.00011415645,0.0001618581,0.000113925904,0.00010849404,0.00024714877,0.000017428041,0.000055700428,0.00008691084,0.000004420618],"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":[0.00027045645,0.00010183275,0.8439683,0.00005079897,0.00011369047,0.0000015515799,0.00016463643,0.0003106956,0.15109225,0.00011745182,0.00085987657,0.002948507],"study_design_scores_gemma":[0.00096462533,0.00063249393,0.9329325,0.00008223576,0.000039390125,0.000031326,0.0001927845,0.0005390675,0.060959026,0.00043588175,0.0028667152,0.00032396143],"about_ca_topic_score_codex":0.00017548553,"about_ca_topic_score_gemma":0.000350101,"teacher_disagreement_score":0.09013322,"about_ca_system_score_codex":0.000049865044,"about_ca_system_score_gemma":0.00014758833,"threshold_uncertainty_score":0.6600382},"labels":[],"label_agreement":null},{"id":"W2126190031","doi":"10.1158/1055-9965.epi-04-0757","title":"The Association of Physical Activity and Body Mass Index with the Risk of Large Bowel Polyps","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Medicine; Body mass index; Colonoscopy; Confidence interval; Internal medicine; Colorectal adenoma; Placebo; Randomized controlled trial; Obesity; Relative risk; Gastroenterology; Colorectal cancer; Cancer; Pathology","score_opus":0.01460079847081377,"score_gpt":0.32641447819021835,"score_spread":0.3118136797194046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126190031","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":[0.9867166,0.0018766512,0.0050129495,0.0057402942,0.00009338811,0.00035334696,0.000014662136,0.00001992928,0.0001721632],"genre_scores_gemma":[0.9986321,0.000556937,0.00013919902,0.00006337621,0.00017012843,0.000067214474,0.000004248279,0.000008411193,0.00035839234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854237,0.00069657696,0.00021321842,0.00020087276,0.00013689336,0.00021004453],"domain_scores_gemma":[0.99786407,0.0011105305,0.0006900413,0.00019084424,0.00010239667,0.00004214107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022858027,0.00010652306,0.00031388277,0.000041194566,0.00015158128,0.000002810948,0.00005642737,0.00012258842,0.0000063105285],"category_scores_gemma":[0.00046022757,0.000058265447,0.00013161336,0.00015488385,0.00017693778,0.000066573244,0.000024746374,0.00022594693,5.796272e-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":[0.0061616623,0.00009202578,0.9089072,0.0000375131,0.0008136381,1.6538968e-7,0.000106483945,0.000054492597,0.0043822606,0.00011465852,0.0011113074,0.078218594],"study_design_scores_gemma":[0.0011499594,0.0008447992,0.9823154,0.00007366635,0.00037277854,0.0000026264772,0.00008519738,0.009395145,0.0037193787,0.0003747814,0.0016054605,0.00006081345],"about_ca_topic_score_codex":0.00051126146,"about_ca_topic_score_gemma":0.0014022917,"teacher_disagreement_score":0.07815778,"about_ca_system_score_codex":0.00018019867,"about_ca_system_score_gemma":0.000078750745,"threshold_uncertainty_score":0.2375996},"labels":[],"label_agreement":null},{"id":"W2126280736","doi":"10.1158/1055-9965.epi-06-0047","title":"Cigarette Yields and Human Exposure: A Comparison of Alternative Testing Regimens","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","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":true,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute; European Commission","keywords":"Nicotine; tar (computing); Smoke; Cotinine; Regimen; Medicine; Cigarette smoke; Cigarette smoking; Nicotine replacement therapy; Nicotine gum; Smoking cessation; Environmental health; Toxicology; Internal medicine; Pathology; Chemistry; Biology; Placebo; Alternative medicine; Computer science","score_opus":0.12274322898798207,"score_gpt":0.4164061860528712,"score_spread":0.29366295706488915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126280736","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":[0.9945627,0.002017638,0.0014918501,0.0007580897,0.00023133698,0.0003002459,0.000004689747,0.000043156633,0.0005903316],"genre_scores_gemma":[0.9985115,0.00002387119,0.00081144075,0.000088041845,0.00015714148,0.000059523984,0.000085933134,0.000012665567,0.00024991474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857384,0.0002510463,0.0005777797,0.0002981873,0.000101007514,0.00019812908],"domain_scores_gemma":[0.99887335,0.00030170457,0.0004922711,0.00017247362,0.00011116415,0.000049024024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091360847,0.00012929973,0.00043976837,0.0001077154,0.00008663568,0.0000029146374,0.000047790876,0.00018616457,0.000043717468],"category_scores_gemma":[0.00022736941,0.00012075109,0.000081202204,0.00013940396,0.00020271215,0.000058765327,0.000025039144,0.00015508434,2.9114915e-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":[0.00007325229,0.0000864058,0.97465295,0.00005328827,0.00013020154,0.0000019278912,0.00007617204,0.000014573106,0.0112179415,0.000494666,0.0019455829,0.011253017],"study_design_scores_gemma":[0.00096699107,0.00044562167,0.98805684,0.0004055932,0.0003837715,0.000010454461,0.000085337546,0.00020951498,0.0049992106,0.004212425,0.00012091753,0.000103311315],"about_ca_topic_score_codex":0.0014980247,"about_ca_topic_score_gemma":0.00010756484,"teacher_disagreement_score":0.0134038795,"about_ca_system_score_codex":0.000097611715,"about_ca_system_score_gemma":0.000036473728,"threshold_uncertainty_score":0.49240863},"labels":[],"label_agreement":null},{"id":"W2126304329","doi":"10.1158/1055-9965.epi-14-1161","title":"Association of the Colorectal CpG Island Methylator Phenotype with Molecular Features, Risk Factors, and Family History","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"National Cancer Institute; National Human Genome Research Institute; American Association for Cancer Research","keywords":"Colorectal cancer; Internal medicine; Odds ratio; Oncology; Family history; Medicine; Population; Body mass index; Cancer","score_opus":0.02209093967254983,"score_gpt":0.2822979538294243,"score_spread":0.26020701415687447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126304329","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":[0.9505166,0.0444886,0.0036980403,0.0002461683,0.0004944263,0.00028443066,0.00003651825,0.00000768348,0.00022754962],"genre_scores_gemma":[0.9968193,0.0013748388,0.00097503205,0.000083963954,0.00008039502,0.00004627896,0.000111394846,0.00001963695,0.0004891186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805737,0.00096805097,0.000295951,0.00034331536,0.0001277457,0.00020758797],"domain_scores_gemma":[0.998781,0.0001094645,0.0006200529,0.00023620058,0.00016737099,0.000085878935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014390713,0.0001696632,0.00026538895,0.000039052433,0.00005356512,0.0000034567624,0.000120009056,0.00031672206,0.000007842707],"category_scores_gemma":[0.00079158216,0.00011721578,0.00010730775,0.000076845055,0.00015158844,0.000006886488,0.00006788423,0.00012874285,4.3248457e-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":[0.0002854283,0.000029664716,0.84417886,0.000014246271,0.00051203877,2.1453371e-7,0.000078800076,0.00017588527,0.14619507,0.00006851023,0.0068397312,0.0016215402],"study_design_scores_gemma":[0.0012797485,0.0005934202,0.89338875,0.000040709707,0.00037881196,9.794719e-7,0.00007646074,0.00009903803,0.076787375,0.0027441676,0.024344109,0.00026645558],"about_ca_topic_score_codex":0.0005617335,"about_ca_topic_score_gemma":0.0008593353,"teacher_disagreement_score":0.069407694,"about_ca_system_score_codex":0.00019882355,"about_ca_system_score_gemma":0.00021611874,"threshold_uncertainty_score":0.47799206},"labels":[],"label_agreement":null},{"id":"W2126724370","doi":"10.1158/1055-9965.epi-07-2670","title":"MTHFR Genotype and Colorectal Adenoma Recurrence: Data from a Double-blind Placebo-controlled Clinical Trial","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","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":"University of Toronto","funders":"National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Methylenetetrahydrofolate reductase; Colorectal adenoma; Internal medicine; Adenoma; Gastroenterology; Medicine; Genotype; Placebo; Aspirin; Context (archaeology); Colorectal cancer; Randomized controlled trial; Relative risk; Oncology; Confidence interval; Endocrinology; Cancer; Biology; Genetics; Pathology","score_opus":0.40903044439028297,"score_gpt":0.5131383776312751,"score_spread":0.10410793324099216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126724370","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":[0.9712523,0.019975346,0.00027823146,0.003435458,0.0014387376,0.0031385312,0.00007754812,0.00005817664,0.00034566893],"genre_scores_gemma":[0.9728295,0.017652705,0.0027427047,0.00043890558,0.0019894254,0.0005829021,0.0019166691,0.000040852527,0.001806304],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99510276,0.0016477896,0.0013486199,0.001119962,0.0002280878,0.0005527561],"domain_scores_gemma":[0.9959231,0.0023547802,0.00044584656,0.00078244123,0.00013803305,0.00035582358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005495678,0.00027285644,0.0013741708,0.0001755617,0.00020772374,0.000010611173,0.000352069,0.0006319133,0.00063317094],"category_scores_gemma":[0.0026623772,0.0002176928,0.00027405718,0.00023264976,0.00073794863,0.00020425205,0.0002933962,0.0006019615,0.00008681677],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.78567857,0.00036016855,0.15606953,0.000027212032,0.0018243032,0.000054368615,0.00005252344,3.942214e-7,0.00032306183,0.000018304198,0.033336613,0.022254951],"study_design_scores_gemma":[0.7127499,0.0037513587,0.26824164,0.00024559913,0.0010831887,0.00009857817,0.000051776926,0.003605745,0.00007359772,0.00088460586,0.00883025,0.0003837405],"about_ca_topic_score_codex":0.0006944446,"about_ca_topic_score_gemma":0.00039730113,"teacher_disagreement_score":0.11217213,"about_ca_system_score_codex":0.00011814288,"about_ca_system_score_gemma":0.000740242,"threshold_uncertainty_score":0.8877255},"labels":[],"label_agreement":null},{"id":"W2126924946","doi":"10.1158/1055-9965.epi-07-2686","title":"A Prospective Evaluation of Insulin and Insulin-like Growth Factor-I as Risk Factors for Endometrial Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":268,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University; Women's Health Research Institute","funders":"National Cancer Institute","keywords":"Endometrial cancer; Medicine; Hazard ratio; Prospective cohort study; Internal medicine; Insulin; Insulin-like growth factor; Endocrinology; Estrogen; Oncology; Overweight; Proportional hazards model; Risk factor; Cancer; Obesity; Gynecology; Confidence interval; Growth factor","score_opus":0.118153450852713,"score_gpt":0.4054871804362896,"score_spread":0.2873337295835766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126924946","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":[0.95485103,0.039376292,0.0005907459,0.00041809885,0.001128215,0.0031697927,0.00030596118,0.00004540473,0.00011447476],"genre_scores_gemma":[0.9762684,0.020592459,0.00095979596,0.00013490126,0.0003426485,0.0013863292,0.00016290802,0.0000305916,0.00012193332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967949,0.000891892,0.00086585694,0.0006833425,0.00036508814,0.00039896014],"domain_scores_gemma":[0.9960621,0.001988565,0.00081800605,0.00022717575,0.0006837087,0.00022042415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019242903,0.0003137169,0.0010281998,0.00040110102,0.00017945851,0.0000033053557,0.00009163281,0.00032883103,0.00036896844],"category_scores_gemma":[0.0076234154,0.0002457695,0.00037721684,0.0006547081,0.00032872704,0.00014689834,0.000044953533,0.00019678594,0.0000032225125],"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":[0.0060908226,0.00027875858,0.92822164,0.00012568201,0.0019836887,0.0000012115438,0.0003404597,0.00001167865,0.000495865,0.00008346101,0.00034061767,0.06202611],"study_design_scores_gemma":[0.02149633,0.001771911,0.95922005,0.00018377275,0.0017997831,0.000008968387,0.00009046388,0.00029937635,0.0039908933,0.01054666,0.0003628356,0.00022898102],"about_ca_topic_score_codex":0.005137651,"about_ca_topic_score_gemma":0.00025094143,"teacher_disagreement_score":0.06179713,"about_ca_system_score_codex":0.0007727752,"about_ca_system_score_gemma":0.0005773271,"threshold_uncertainty_score":0.99999946},"labels":[],"label_agreement":null},{"id":"W2127222156","doi":"10.1158/1055-9965.epi-07-0291","title":"Effect of a 12-Month Exercise Intervention on the Apoptotic Regulating Proteins Bax and Bcl-2 in Colon Crypts: A Randomized Controlled Trial","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cell death mechanisms and regulation","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":"University of Alberta; Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Apoptosis; Aerobic exercise; Colorectal cancer; Crypt; Immunohistochemistry; Medicine; Internal medicine; Randomized controlled trial; Bcl-2-associated X protein; Andrology; Gastroenterology; Endocrinology; Programmed cell death; Biology; Cancer; Caspase 3; Biochemistry","score_opus":0.01459834324644001,"score_gpt":0.32349425593563425,"score_spread":0.30889591268919425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127222156","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":[0.97864246,0.0055349753,0.0071327947,0.00029069904,0.00047768586,0.007769651,0.0000020001237,0.000010256137,0.00013946569],"genre_scores_gemma":[0.9968914,0.00082466926,0.00031316117,0.000037508154,0.00013143303,0.001384009,0.000057151152,0.00001683649,0.00034386318],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99540406,0.0027282545,0.0010768891,0.00041081963,0.00009949281,0.00028049992],"domain_scores_gemma":[0.99771446,0.0011409731,0.00081460865,0.00023301024,0.000047023976,0.00004992588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015640294,0.00022104716,0.0010269298,0.00013089506,0.00007870259,0.000006287982,0.00009912156,0.00032947684,0.000024667406],"category_scores_gemma":[0.0019855045,0.00013787967,0.0004859926,0.00009491962,0.00021766829,0.000007523312,0.000052098992,0.000114809714,5.1532135e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.88660204,0.00012298611,0.00051239517,0.00011258814,0.00031018382,7.2004485e-7,0.000035204263,0.00006440785,0.07113816,0.0005245681,0.000066124216,0.04051059],"study_design_scores_gemma":[0.92495924,0.0041239792,0.0024546918,0.0011487204,0.00045572917,0.0000034461013,0.00004525795,0.0034030937,0.059907533,0.0031442156,0.00010119814,0.00025290815],"about_ca_topic_score_codex":0.00013018525,"about_ca_topic_score_gemma":0.00024661754,"teacher_disagreement_score":0.040257685,"about_ca_system_score_codex":0.00005173033,"about_ca_system_score_gemma":0.00003051311,"threshold_uncertainty_score":0.562257},"labels":[],"label_agreement":null},{"id":"W2127280826","doi":"10.1158/1055-9965.epi-06-0248","title":"Effect of Staining Procedures on the Results of Micronucleus Assays with Exfoliated Oral Mucosa Cells","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":194,"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":"","keywords":"Micronucleus test; Giemsa stain; Feulgen stain; Micronucleus; Acridine orange; Oral mucosa; Staining; Biology; Pathology; Karyorrhexis; Carcinogen; Stain; Molecular biology; Medicine; Genetics; Internal medicine; Programmed cell death; Toxicity; Apoptosis","score_opus":0.016297251481613217,"score_gpt":0.3154989746212135,"score_spread":0.2992017231396003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127280826","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":[0.9965001,0.0011929872,0.0007197006,0.0004924664,0.0001063577,0.0005576523,0.000085353786,0.0000083798195,0.00033703024],"genre_scores_gemma":[0.99862677,0.00012306796,0.00049739983,0.000091719965,0.0000706445,0.00008049526,0.00018898357,0.000016902857,0.00030399289],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978157,0.000931936,0.0005055436,0.00038130078,0.00009292389,0.00027255545],"domain_scores_gemma":[0.9987028,0.0002803369,0.000551266,0.00033437574,0.000097274504,0.000033929984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180847,0.00019358839,0.00036234103,0.00004344756,0.00006479555,0.00000325311,0.00015879922,0.00018370258,0.00001399135],"category_scores_gemma":[0.00021152529,0.00012373173,0.00017055676,0.00011809014,0.00024500646,0.0000033365127,0.000054268126,0.00008444047,8.6237446e-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":[0.004274429,0.0001037523,0.03260698,0.00013277915,0.00040165122,0.0000013903683,0.000023999142,0.0008735985,0.9493517,0.000111796275,0.008955692,0.0031622315],"study_design_scores_gemma":[0.0016839403,0.0027381855,0.036081675,0.00017633947,0.00013267013,0.00000352949,0.000034010474,0.0001020412,0.95719117,0.00017932344,0.0015193628,0.00015772649],"about_ca_topic_score_codex":0.00066703715,"about_ca_topic_score_gemma":0.00068834913,"teacher_disagreement_score":0.007839496,"about_ca_system_score_codex":0.00005423643,"about_ca_system_score_gemma":0.00015691217,"threshold_uncertainty_score":0.50456333},"labels":[],"label_agreement":null},{"id":"W2127363280","doi":"10.1158/1055-9965.epi-04-0498","title":"Smoking Topography, Brand Switching, and Nicotine Delivery: Results from an <i>In vivo</i> Study","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":174,"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 Waterloo","funders":"National Cancer Institute","keywords":"Cotinine; Nicotine; Medicine; Smoke; Smoking cessation; Toxicology; Internal medicine; Chemistry; Biology; Pathology","score_opus":0.05259935668200399,"score_gpt":0.3801935181787723,"score_spread":0.3275941614967683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127363280","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":[0.99460286,0.00200925,0.00026931046,0.0019112341,0.00035414333,0.00065512926,0.000026102774,0.00007481484,0.00009717201],"genre_scores_gemma":[0.997671,0.0005494379,0.0005442635,0.00063916284,0.00028839192,0.00008021278,0.00014520706,0.000020834601,0.000061500774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746054,0.0006521863,0.0007553169,0.0006784967,0.00013533891,0.00031812812],"domain_scores_gemma":[0.998857,0.00031235124,0.0002958553,0.00034674024,0.000051873765,0.00013613769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023473632,0.00020940478,0.0004932959,0.00022869442,0.00010219813,0.000011370006,0.000087830245,0.0002270982,0.00010999663],"category_scores_gemma":[0.00019023796,0.0001949794,0.000102975064,0.0002154107,0.00007595556,0.00023866017,0.00003871043,0.00025271127,8.0378226e-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":[0.0010970267,0.00035453372,0.9273934,0.000009411041,0.00016459203,0.0000047992394,0.0006140204,0.000017118164,0.003345062,0.000008961302,0.0006656874,0.0663254],"study_design_scores_gemma":[0.0065342984,0.0004160923,0.9890769,0.0002433085,0.0004093167,0.000006640704,0.00045820203,0.00045940225,0.0008805382,0.0005057599,0.0008233748,0.00018615286],"about_ca_topic_score_codex":0.0037077568,"about_ca_topic_score_gemma":0.0035651815,"teacher_disagreement_score":0.06613924,"about_ca_system_score_codex":0.00015652234,"about_ca_system_score_gemma":0.00005139146,"threshold_uncertainty_score":0.7951029},"labels":[],"label_agreement":null},{"id":"W2127539510","doi":"10.1158/1055-9965.epi-07-2949","title":"High Lifetime Incidence of Adult Acute Lymphoblastic Leukemia among Hispanics in California","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Lymphoblastic Leukemia research","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":"inVentiv Health Clinical","funders":"Centers for Disease Control and Prevention; U.S. Department of Health and Human Services; National Institutes of Health; National Cancer Institute; National Center for Chronic Disease Prevention and Health Promotion; Australian Government","keywords":"Lymphoblastic Leukemia; Incidence (geometry); Medicine; Gerontology; Leukemia; Demography; Internal medicine; Mathematics; Sociology","score_opus":0.017970372304681972,"score_gpt":0.3311117935362987,"score_spread":0.31314142123161676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127539510","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":[0.98574656,0.001627864,0.0074879113,0.0034746653,0.0003809073,0.00096616294,0.000053059484,0.00008735996,0.00017550812],"genre_scores_gemma":[0.98985255,0.0018304161,0.0059264,0.001306771,0.00018029493,0.00013207631,0.00016221602,0.000036661386,0.00057264406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957454,0.0007132673,0.0015053333,0.00078385643,0.00036821407,0.0008839312],"domain_scores_gemma":[0.9970577,0.00097103,0.0006727984,0.00062322867,0.00033356404,0.0003416798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017505017,0.0003733109,0.001218588,0.00047190653,0.0000679015,0.0000054610873,0.00035031306,0.00060073263,0.00024010902],"category_scores_gemma":[0.0028342132,0.00033669992,0.00029237889,0.0007425062,0.0005363204,0.00019104735,0.00011087561,0.00041913366,0.00006568164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057906075,0.00044943174,0.8959555,0.00041814643,0.0013366865,0.0003101191,0.00020129285,0.0010377758,0.021975137,0.00154839,0.025824295,0.045152605],"study_design_scores_gemma":[0.00688028,0.0011100956,0.94696784,0.0020109478,0.0005801008,0.00011836274,0.000050569688,0.030337283,0.0033375642,0.0079767415,0.00021521653,0.00041499845],"about_ca_topic_score_codex":0.002356488,"about_ca_topic_score_gemma":0.00048198743,"teacher_disagreement_score":0.051012326,"about_ca_system_score_codex":0.0039967266,"about_ca_system_score_gemma":0.0018043292,"threshold_uncertainty_score":0.9999085},"labels":[],"label_agreement":null},{"id":"W2127837812","doi":"10.1158/1055-9965.epi-06-0784","title":"Effects of Aerobic Exercise Training on Estrogen Metabolism in Premenopausal Women: A Randomized Controlled Trial","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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 Alberta","funders":"","keywords":"Aerobic exercise; Medicine; Body mass index; VO2 max; Internal medicine; Lean body mass; Randomized controlled trial; Endocrinology; Estrogen; Cardiorespiratory fitness; Menstrual cycle; Exercise physiology; Physiology; Hormone; Heart rate; Blood pressure; Body weight","score_opus":0.03366489238569346,"score_gpt":0.3614445668087306,"score_spread":0.3277796744230371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127837812","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":[0.9707322,0.017184235,0.0011047545,0.0004341582,0.0015985883,0.00870017,0.0000028126537,0.000045122917,0.00019795653],"genre_scores_gemma":[0.9929206,0.0023641055,0.00062737335,0.00032258464,0.00031435137,0.0031290732,0.000023378676,0.00003214174,0.0002664024],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9955445,0.0012772745,0.0017917113,0.00050257635,0.0001968808,0.0006870593],"domain_scores_gemma":[0.995142,0.0033934512,0.00092870055,0.0002541171,0.00006948159,0.00021229501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010955869,0.00032061397,0.0038587726,0.0004707614,0.00004174598,0.0000031190916,0.000106686515,0.00042580103,0.0001387565],"category_scores_gemma":[0.0024308772,0.00024109859,0.00068622746,0.00029398754,0.00029138912,0.000068248184,0.000023828392,0.00035364993,0.0000033010792],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9635767,0.00034909538,0.0015359927,0.00015008307,0.0012979085,0.000014669872,0.0006814217,0.000016659902,0.004224277,0.00039600226,0.00017127387,0.027585953],"study_design_scores_gemma":[0.97393805,0.00084101746,0.018661372,0.00091525284,0.0011289533,0.0000032040493,0.00013891261,0.000111139445,0.0020682686,0.001665829,0.00032726917,0.00020071681],"about_ca_topic_score_codex":0.00031586853,"about_ca_topic_score_gemma":0.00007056177,"teacher_disagreement_score":0.027385237,"about_ca_system_score_codex":0.00039407043,"about_ca_system_score_gemma":0.0002828024,"threshold_uncertainty_score":0.9831715},"labels":[],"label_agreement":null},{"id":"W2127842714","doi":"10.1158/1055-9965.epi-07-0560","title":"Smoking, Parkinson's Disease, and Melanoma","year":2007,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Skin Protection and Aging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vitamin D Society","keywords":"Disease; Melanoma; Risk factor; Basal cell carcinoma; Observational study; Incidence (geometry); Cancer; Parkinson's disease; Skin cancer; Oncology; Medicine; Basal cell; Internal medicine; Dermatology; Psychology; Cancer research","score_opus":0.06239331542527153,"score_gpt":0.36630468023655455,"score_spread":0.303911364811283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127842714","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056193443,0.057824377,0.0038075303,0.92667264,0.0029092678,0.0015063168,0.00003796618,0.0002747762,0.0013478113],"genre_scores_gemma":[0.008356496,0.005679358,0.0019252971,0.96161145,0.0071720793,0.00055083964,0.0011581538,0.00013314279,0.013413174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968271,0.0006505541,0.00071291294,0.00094702584,0.0001935981,0.00066879345],"domain_scores_gemma":[0.9981517,0.0004919692,0.0005635912,0.00045339996,0.000086674954,0.00025263688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018232601,0.00043104126,0.0008661828,0.00042218782,0.00015319331,0.000011805286,0.00011768522,0.0011991339,0.0006182012],"category_scores_gemma":[0.00050778064,0.00039145062,0.0003671961,0.00019050592,0.0003547036,0.00007264082,0.00007661232,0.0014120428,0.000021028749],"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":[0.00025623976,0.000016810007,0.18492165,0.0004159088,0.0008237793,0.0002443655,0.000010441824,3.1958024e-7,0.000017145801,0.000016715518,0.78006506,0.03321156],"study_design_scores_gemma":[0.00081611617,0.00008949689,0.18283662,0.0011933458,0.0008190153,0.00009523508,0.0000076035963,0.00006321739,0.000020190722,0.0018278459,0.81192786,0.0003034226],"about_ca_topic_score_codex":0.00017035418,"about_ca_topic_score_gemma":0.000020802014,"teacher_disagreement_score":0.05214502,"about_ca_system_score_codex":0.00032755648,"about_ca_system_score_gemma":0.00019272084,"threshold_uncertainty_score":0.99985373},"labels":[],"label_agreement":null},{"id":"W2127926585","doi":"10.1158/1055-9965.epi-04-0330","title":"Genetic Polymorphisms of Ataxia Telangiectasia Mutated and Breast Cancer Risk","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","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":"inVentiv Health Clinical","funders":"","keywords":"Breast cancer; Odds ratio; Haplotype; Medicine; Genotype; Internal medicine; Ataxia-telangiectasia; Confidence interval; Allele; Oncology; Gastroenterology; Cancer; Gynecology; Genetics; Biology; Gene","score_opus":0.014312711313626506,"score_gpt":0.2997319700297084,"score_spread":0.2854192587160819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127926585","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":[0.9596418,0.035104148,0.0034113375,0.0008815322,0.0003033532,0.0003511512,0.00021974425,0.000032355227,0.000054557866],"genre_scores_gemma":[0.98377717,0.0073620626,0.0074969316,0.000284735,0.00031068933,0.00015476001,0.00011418421,0.000037140453,0.00046230137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978481,0.0005368453,0.0005459949,0.0006004827,0.00007810325,0.00039045626],"domain_scores_gemma":[0.99885446,0.000053993095,0.0004967396,0.00037890882,0.0000842676,0.0001316074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140499,0.00024146517,0.00037324178,0.00008740759,0.00007664777,0.00000400887,0.00018056484,0.00033143337,0.00018972927],"category_scores_gemma":[0.00012631183,0.0002312617,0.0001727844,0.00011710885,0.00025550064,0.0000100770385,0.00011781812,0.00010800307,0.000006691053],"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":[0.00046927753,0.00007922715,0.43994877,0.000044348017,0.0008225514,0.000001936414,0.000036199228,0.00024251851,0.4021733,0.000048987567,0.0052932855,0.1508396],"study_design_scores_gemma":[0.0016601745,0.00033161408,0.8817538,0.00014795308,0.0003995472,0.00011850653,0.000039611496,0.0014745422,0.106567405,0.0014771719,0.005529571,0.00050009985],"about_ca_topic_score_codex":0.00072407594,"about_ca_topic_score_gemma":0.0006023892,"teacher_disagreement_score":0.44180503,"about_ca_system_score_codex":0.000060968963,"about_ca_system_score_gemma":0.000111533096,"threshold_uncertainty_score":0.94305784},"labels":[],"label_agreement":null},{"id":"W2128029881","doi":"10.1158/1055-9965.epi-14-0532","title":"Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"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; University Health Network; Lunenfeld-Tanenbaum Research Institute; Centre hospitalier universitaire de Québec","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; Fundación Mutua Madrileña; Canadian Institutes of Health Research; National Center for Research Resources; Institut Català de la Salut; Deutsche Krebshilfe; Instituto de Salud Carlos III; Lunds Universitet; Sahlgrenska Universitetssjukhuset; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Cancer Association of South Africa; Generalitat de Catalunya; National Institute for Health and Care Research; Cancer Research UK; Francis Crick Institute; Deutsches Krebsforschungszentrum; Helsingin ja Uudenmaan Sairaanhoitopiiri; McGill University; Royal Marsden NHS Foundation Trust; Breast Cancer Research Foundation; Uppsala Universitet; Lietuvos Mokslo Taryba; National Institutes of Health; Ovarian Cancer Research Fund; Génome Québec","keywords":"Ovarian cancer; Breast cancer; Mutation; Oncology; Medicine; Genetics; Cancer; Internal medicine; Cancer research; Biology; Gene","score_opus":0.015150646172180133,"score_gpt":0.31227075291422995,"score_spread":0.2971201067420498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128029881","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":[0.9252289,0.021264983,0.048935596,0.0023094711,0.00079709396,0.0010005841,0.0003757441,0.000023945227,0.00006366485],"genre_scores_gemma":[0.98394156,0.00628015,0.0071967193,0.00077519205,0.00032080742,0.0010791532,0.00022293357,0.000045652134,0.0001378444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997475,0.0006244353,0.00052808487,0.00084777724,0.00006719373,0.00045745182],"domain_scores_gemma":[0.998911,0.0001622055,0.00036586772,0.00031098642,0.00009640132,0.00015353634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014091433,0.00026928406,0.00036572912,0.00012591,0.00017840572,0.000016626862,0.00013261371,0.0003519847,0.000016800122],"category_scores_gemma":[0.00033507522,0.00028244732,0.00009660317,0.00014031546,0.00034777843,0.000017536477,0.00007130716,0.0001314482,6.830023e-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":[0.0010682966,0.00004602165,0.52100617,0.0001987085,0.000887734,0.0000014671228,0.0003743465,0.004668149,0.022942696,0.0002586743,0.0068175434,0.44173023],"study_design_scores_gemma":[0.00794045,0.00057371793,0.9207613,0.0002576875,0.000597907,0.00009674168,0.00036689185,0.021809358,0.0058906656,0.018322762,0.022267472,0.0011150796],"about_ca_topic_score_codex":0.0014460488,"about_ca_topic_score_gemma":0.0057509923,"teacher_disagreement_score":0.44061515,"about_ca_system_score_codex":0.00018718334,"about_ca_system_score_gemma":0.00022628791,"threshold_uncertainty_score":0.99996275},"labels":[],"label_agreement":null},{"id":"W2128249752","doi":"10.1158/1055-9965.epi-07-0151","title":"Accuracy of Colorectal Polyp Self-Reports: Findings from the Colon Cancer Family Registry","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute; Cancer Care Ontario; University of Toronto","funders":"National Cancer Institute","keywords":"Colonoscopy; Medicine; Colorectal cancer; Predictive value; Internal medicine; Family history; Medical record; Colorectal Polyp; Population; Positive predicative value; Gastroenterology; Oncology; Cancer","score_opus":0.04071044535582178,"score_gpt":0.3659241292841261,"score_spread":0.3252136839283043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128249752","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":[0.9657637,0.025223648,0.0025476879,0.00278096,0.002040396,0.0008394501,0.000037944326,0.00016395476,0.00060225395],"genre_scores_gemma":[0.99389625,0.0020781884,0.001970605,0.0010139181,0.0004539087,0.00022005111,0.00010185504,0.000031574546,0.00023362707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971586,0.00036321202,0.0010859747,0.0006341323,0.00023665735,0.0005214513],"domain_scores_gemma":[0.99615884,0.0019654783,0.0010178625,0.00048029597,0.00020926257,0.00016828565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031294648,0.00027513405,0.00068809633,0.00012420668,0.00019037453,0.0000075680796,0.00017169892,0.00043526656,0.00015979545],"category_scores_gemma":[0.0014357732,0.00021343095,0.0003675935,0.00047071552,0.00032615676,0.00012270667,0.00007845609,0.0004123417,0.0000047938343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009934695,0.00013042147,0.8718694,0.00008679102,0.0013764229,0.000032056454,0.00033691392,0.00001719763,0.04453705,0.00005227198,0.022047678,0.049579095],"study_design_scores_gemma":[0.0013304272,0.00092030875,0.97294015,0.00059384183,0.0007050421,0.00007199019,0.00038237055,0.0002094181,0.013396336,0.0015034286,0.0077064303,0.00024024224],"about_ca_topic_score_codex":0.012519858,"about_ca_topic_score_gemma":0.0032653047,"teacher_disagreement_score":0.101070754,"about_ca_system_score_codex":0.0006271204,"about_ca_system_score_gemma":0.0004948026,"threshold_uncertainty_score":0.99405587},"labels":[],"label_agreement":null},{"id":"W2129345408","doi":"10.1158/1055-9965.epi-13-0980","title":"Recurrent <i>BRCA1</i> and <i>BRCA2</i> Mutations in Mexican Women with Breast Cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"National Cancer Institute","keywords":"Breast cancer; Ovarian cancer; Cancer; Medicine; Germline mutation; Oncology; Mutation; Genetic testing; Internal medicine; Germline; Gynecology; Gene; Genetics; Biology","score_opus":0.017432945021382092,"score_gpt":0.31701794489220836,"score_spread":0.29958499987082626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129345408","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":[0.97804403,0.009444978,0.004383762,0.0065396153,0.0005876115,0.0005593923,0.00010785654,0.000033653487,0.00029911113],"genre_scores_gemma":[0.99174947,0.0025696594,0.0022441535,0.0012241097,0.00030673173,0.0014540404,0.00016409562,0.00004067571,0.00024706768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751896,0.0006128517,0.00048156394,0.00076933857,0.00009240868,0.00052485924],"domain_scores_gemma":[0.99897516,0.000106034546,0.00028572915,0.0003660588,0.00010771053,0.00015930127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012341801,0.0002642239,0.0003630817,0.000121880636,0.000118220756,0.000012048533,0.00018052557,0.00023631351,0.000080080514],"category_scores_gemma":[0.00013133776,0.00024091007,0.0000606894,0.00025198745,0.00039192918,0.00001461948,0.00008367259,0.0001609029,0.0000032961343],"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":[0.0019588352,0.00022002409,0.52309525,0.00016036382,0.0010237296,0.0000024396172,0.00061246805,0.0017873149,0.032357197,0.00045661535,0.009728742,0.42859703],"study_design_scores_gemma":[0.0044465465,0.0009987688,0.9220818,0.00044079003,0.00020045575,0.000088342305,0.0005989897,0.0010777725,0.004647804,0.0073440787,0.057022046,0.001052608],"about_ca_topic_score_codex":0.00034160542,"about_ca_topic_score_gemma":0.0029151016,"teacher_disagreement_score":0.42754444,"about_ca_system_score_codex":0.00036118246,"about_ca_system_score_gemma":0.00030214066,"threshold_uncertainty_score":0.98240274},"labels":[],"label_agreement":null},{"id":"W2129413079","doi":"10.1158/1055-9965.epi-13-0956","title":"Ontario's ColonCancerCheck: Results from Canada's First Province-Wide Colorectal Cancer Screening Program","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":55,"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 Services and Policy Research; Sunnybrook Hospital; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Cancer Care Ontario; Sunnybrook Health Science Centre; St. Michael's Hospital","funders":"","keywords":"Colorectal cancer; Colonoscopy; Medicine; Fecal occult blood; Cancer; Colorectal cancer screening; Population; Family history; Cancer screening; Gynecology; Family medicine; Internal medicine; Environmental health","score_opus":0.049152964113672856,"score_gpt":0.32826231583133203,"score_spread":0.27910935171765916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129413079","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":[0.9673955,0.004087614,0.004664963,0.015952133,0.0027466423,0.0024044835,0.00019511915,0.00041963122,0.0021339504],"genre_scores_gemma":[0.98307025,0.0003596955,0.009208738,0.0015268001,0.0009619114,0.0017818087,0.0006592628,0.00006169323,0.0023698374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955834,0.00066700723,0.0011792268,0.0012792314,0.00036313405,0.0009279755],"domain_scores_gemma":[0.9964786,0.0014783716,0.00082850386,0.0004971957,0.0002615364,0.00045578336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00180994,0.00048973865,0.0010626611,0.00015250826,0.00040250408,0.000023754448,0.00024701035,0.0004919464,0.00042352878],"category_scores_gemma":[0.0017620487,0.000469771,0.00032878196,0.00037748867,0.00028544496,0.00016047232,0.00011388207,0.00069580815,0.0000075846865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020234967,0.00012454564,0.63218004,0.00008028222,0.0009682098,0.00001596207,0.00016514328,0.00041767937,0.00021503937,0.000012683044,0.042400558,0.3031849],"study_design_scores_gemma":[0.003943501,0.0019411623,0.7810892,0.0008858996,0.00045552995,0.000013177626,0.000050859802,0.0051775984,0.0012431991,0.00028811264,0.20444821,0.00046359163],"about_ca_topic_score_codex":0.9810152,"about_ca_topic_score_gemma":0.9983835,"teacher_disagreement_score":0.3027213,"about_ca_system_score_codex":0.0041342615,"about_ca_system_score_gemma":0.0038256028,"threshold_uncertainty_score":0.9997754},"labels":[],"label_agreement":null},{"id":"W2129697031","doi":"10.1158/1055-9965.epi-14-0207","title":"Childhood Brain Tumor Epidemiology: A Brain Tumor Epidemiology Consortium Review","year":2014,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":393,"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 Population and Public Health","funders":"National Cancer Institute","keywords":"Epidemiology; Brain tumor; Medicine; Childhood cancer; Incidence (geometry); Brain cancer; Cancer; Pathology; Oncology; Internal medicine","score_opus":0.10011159580487623,"score_gpt":0.43721137496917467,"score_spread":0.33709977916429845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129697031","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":[0.00004328814,0.9255331,0.00060590735,0.06191162,0.0023673752,0.008477431,0.0003049955,0.0003704897,0.00038579316],"genre_scores_gemma":[0.000021196105,0.9092721,0.0039835176,0.0716192,0.0014215725,0.008505687,0.0040279636,0.00029737005,0.0008514203],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.95354116,0.02986387,0.009210219,0.0040648677,0.0002842171,0.0030356604],"domain_scores_gemma":[0.9409324,0.04572933,0.008692325,0.0029192523,0.00032754504,0.0013991717],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.03438612,0.002547508,0.021866485,0.0009723488,0.00038703278,0.0000094478255,0.0009668969,0.001971257,0.001641371],"category_scores_gemma":[0.081224866,0.0019301499,0.0065270467,0.001085613,0.0014597845,0.00016110913,0.00044373647,0.0020580478,0.0010166056],"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":[0.0000953088,0.0005579679,0.014207359,0.041356966,0.0053743483,0.00014660209,0.0000074829054,0.0000013450255,9.436976e-7,0.0014627208,0.41589728,0.52089167],"study_design_scores_gemma":[0.0021044144,0.0008530312,0.007751594,0.13713142,0.010834337,0.0019842898,0.000005810764,0.000028970933,8.8423354e-7,0.004748295,0.83335227,0.0012046905],"about_ca_topic_score_codex":0.00040162334,"about_ca_topic_score_gemma":0.00013089602,"teacher_disagreement_score":0.519687,"about_ca_system_score_codex":0.0015777836,"about_ca_system_score_gemma":0.0018755358,"threshold_uncertainty_score":0.9997612},"labels":[],"label_agreement":null},{"id":"W2129820993","doi":"10.1158/1055-9965.epi-04-0703","title":"Controlled Physical Activity Trials in Cancer Survivors: A Systematic Review and Meta-analysis","year":2005,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":638,"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":"Cardiorespiratory fitness; Medicine; Psychological intervention; Meta-analysis; Quality of life (healthcare); Physical activity; Physical therapy; Randomized controlled trial; Physical fitness; Cancer; Systematic review; Adverse effect; MEDLINE; Internal medicine; Psychiatry","score_opus":0.3377551951757679,"score_gpt":0.5256936850779578,"score_spread":0.18793848990218986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129820993","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":[0.000022880282,0.9833594,0.00017409469,0.0027012955,0.00031403112,0.013019931,0.0003086397,0.000059250244,0.000040461528],"genre_scores_gemma":[0.00017118137,0.9733151,0.00004453428,0.00085947145,0.00029556372,0.023430549,0.0002349142,0.00006972202,0.0015789544],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9705398,0.022988759,0.0040150634,0.0014665747,0.0003103693,0.00067942997],"domain_scores_gemma":[0.9851681,0.00850587,0.004804174,0.0010456501,0.00018255474,0.00029366175],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.022680102,0.0011007492,0.05292387,0.000856296,0.00007101148,0.000018094745,0.00027694923,0.0008101677,0.00080773985],"category_scores_gemma":[0.004947732,0.000683414,0.014509629,0.0016082529,0.00021383482,0.00013867089,0.00010222965,0.0007668071,0.000013029857],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002229607,0.00018401149,0.00006110651,0.58802676,0.35068625,0.0000066245548,0.000030854506,0.0000012734106,1.7089509e-7,0.000024913408,0.0004572392,0.060297787],"study_design_scores_gemma":[0.0012499886,0.000075769,0.000049458584,0.07251299,0.8993031,0.000012639775,0.0000098506725,0.000045607983,1.5136638e-7,0.000055567958,0.02620122,0.00048365106],"about_ca_topic_score_codex":0.0056664897,"about_ca_topic_score_gemma":0.021805264,"teacher_disagreement_score":0.5486168,"about_ca_system_score_codex":0.00092170114,"about_ca_system_score_gemma":0.000678458,"threshold_uncertainty_score":0.9995617},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W2130049742","doi":"10.1158/1055-9965.532.13.4","title":"Dietary Fish Intake and Risk of Leukaemia, Multiple Myeloma, and Non-Hodgkin Lymphoma","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; CancerCare Manitoba; Manitoba Health","funders":"","keywords":"Multiple myeloma; Fish <Actinopterygii>; Lymphoma; Medicine; Hodgkin lymphoma; Oncology; Internal medicine; Biology; Fishery","score_opus":0.0446995978573463,"score_gpt":0.3568171457310848,"score_spread":0.3121175478737385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130049742","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":[0.9826528,0.009707257,0.0013064296,0.0050629345,0.00053990504,0.00055921124,0.00007131099,0.000040155745,0.000060000868],"genre_scores_gemma":[0.9826809,0.007865261,0.008551372,0.0005620557,0.00013216314,0.00008274988,0.00007114587,0.000024414676,0.000029928608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973553,0.00080921256,0.0006361256,0.00052739674,0.00011131844,0.0005606868],"domain_scores_gemma":[0.9981878,0.0008169037,0.0004077101,0.000270329,0.00006885492,0.00024843912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022472583,0.00021118972,0.0005526303,0.00017116276,0.00023547477,0.000007686248,0.00012803439,0.0002967398,0.00002757263],"category_scores_gemma":[0.0010523632,0.00019638555,0.00012384463,0.00016844919,0.000626754,0.00018599328,0.000092386115,0.00021611733,0.000004314157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014169134,0.000082660685,0.70658374,0.0002990324,0.00024979407,0.0000040848686,0.00026059608,0.000038417187,0.0046722665,0.000019740442,0.002844507,0.28352824],"study_design_scores_gemma":[0.0032764405,0.0006212856,0.97879994,0.00039222493,0.000107645734,0.000017772058,0.00014867201,0.0007855817,0.0064560724,0.008650499,0.0005573722,0.00018647831],"about_ca_topic_score_codex":0.007820925,"about_ca_topic_score_gemma":0.007994451,"teacher_disagreement_score":0.28334177,"about_ca_system_score_codex":0.00025936047,"about_ca_system_score_gemma":0.00012536922,"threshold_uncertainty_score":0.9987861},"labels":[],"label_agreement":null},{"id":"W2130334432","doi":"10.1158/1055-9965.epi-05-0734","title":"Pancreatic Cancer Genetic Epidemiology Consortium","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Epidemiology; Pancreatic cancer; Genetic epidemiology; Medicine; Cancer; Internal medicine","score_opus":0.09158749954500564,"score_gpt":0.4329615990666512,"score_spread":0.34137409952164555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130334432","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":[0.8694296,0.09177903,0.011562523,0.020882448,0.0010267633,0.0016654283,0.00003955416,0.00019598607,0.0034186842],"genre_scores_gemma":[0.9150007,0.02034405,0.035451498,0.005810576,0.0020602187,0.003102418,0.00042181867,0.000111014735,0.017697707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935375,0.0024358798,0.0016535207,0.0009493373,0.00016515327,0.001258636],"domain_scores_gemma":[0.99510384,0.0030198607,0.00067401177,0.000629182,0.00022566071,0.0003474691],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037146905,0.00040069653,0.0019731524,0.0002798346,0.00021699391,0.0000041685903,0.00021643208,0.0006729054,0.002412717],"category_scores_gemma":[0.002081048,0.00033815173,0.00043809589,0.00033914243,0.0010745076,0.000082103514,0.00008872958,0.00045718066,0.00016489658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006179381,0.00017481366,0.9233131,0.0001761196,0.00090442353,0.000032255095,0.000014977756,0.000051519564,0.0010778351,0.0010995154,0.05498206,0.01755544],"study_design_scores_gemma":[0.002220071,0.0004002328,0.9543349,0.0003776577,0.0012100588,0.00011661988,0.00003827147,0.0026556172,0.00010948093,0.026436085,0.011806558,0.00029441412],"about_ca_topic_score_codex":0.0074070077,"about_ca_topic_score_gemma":0.0012369353,"teacher_disagreement_score":0.07143498,"about_ca_system_score_codex":0.0006108984,"about_ca_system_score_gemma":0.0007971386,"threshold_uncertainty_score":0.9999071},"labels":[],"label_agreement":null},{"id":"W2130397713","doi":"10.1158/1055-9965.epi-08-0214","title":"DJ-1 Could Predict Worse Prognosis in Esophageal Squamous Cell Carcinoma","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"NF-κB Signaling Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"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; Ontario Institute for Cancer Research","funders":"Cancer Research UK","keywords":"Immunohistochemistry; Cancer research; Death-associated protein 6; Medicine; Apoptosis; Tissue microarray; Carcinoma; Esophageal cancer; Cancer; Lymph node; Pathology; Oncology; Internal medicine; Biology; Nuclear protein; Transcription factor; Gene","score_opus":0.04316025209227256,"score_gpt":0.31059990897584216,"score_spread":0.26743965688356963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130397713","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":[0.9800861,0.016248077,0.0014153542,0.0004236425,0.00063884445,0.00068486115,0.000041684238,0.000047515172,0.0004139279],"genre_scores_gemma":[0.9950685,0.0005733366,0.0016111494,0.000401912,0.00036440845,0.00045431807,0.00038947182,0.00004802136,0.0010889042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966152,0.00089052157,0.00077092333,0.0009057333,0.00012833727,0.00068929995],"domain_scores_gemma":[0.9987899,0.00013649893,0.000364619,0.00044707968,0.00008902469,0.00017285314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013582803,0.0003388484,0.0004710207,0.00015510085,0.0001416844,0.0000047336825,0.00032380587,0.00060086953,0.00009682936],"category_scores_gemma":[0.00036891794,0.00034964675,0.000276225,0.00023054966,0.0003445252,0.000012383953,0.00013396618,0.00025737498,0.000023271994],"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":[0.0003994209,0.000229513,0.90039,0.00006938496,0.00006970068,0.00005452333,0.00007028133,0.0002184705,0.079008214,0.000018601224,0.017887644,0.001584227],"study_design_scores_gemma":[0.0037751058,0.0011869814,0.8087445,0.00009976067,0.00013636911,0.00011592854,0.00006447254,0.0007753039,0.17773624,0.0007171346,0.0058553377,0.00079289096],"about_ca_topic_score_codex":0.00030687122,"about_ca_topic_score_gemma":0.00026746513,"teacher_disagreement_score":0.098728016,"about_ca_system_score_codex":0.0001316507,"about_ca_system_score_gemma":0.00029762165,"threshold_uncertainty_score":0.9998956},"labels":[],"label_agreement":null},{"id":"W2130475254","doi":"10.1158/1055-9965.epi-04-0376","title":"Oral Contraceptive Use and Risk of Early-Onset Breast Cancer in Carriers and Noncarriers of <i>BRCA1</i> and <i>BRCA2</i> Mutations","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Odds ratio; Gynecology; Confidence interval; Ovarian cancer; Population; Internal medicine; Relative risk; Risk factor; Obstetrics; Cancer; Oncology; Demography; Environmental health","score_opus":0.020221283716016353,"score_gpt":0.3224960742974449,"score_spread":0.3022747905814286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130475254","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":[0.9780394,0.0191693,0.0005765996,0.00069295143,0.00013911912,0.00039170447,0.00097097293,0.0000060674442,0.000013872468],"genre_scores_gemma":[0.98247737,0.014486216,0.0025540898,0.00013790753,0.00006184944,0.0001464577,0.0000652501,0.00002032838,0.000050512957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980094,0.00057994464,0.0005678279,0.0005069045,0.00006601081,0.0002699196],"domain_scores_gemma":[0.99882,0.00022163361,0.0004794487,0.00021626851,0.00014894351,0.00011368042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008979878,0.00020170768,0.0004216526,0.00012082456,0.000072416486,0.0000069597104,0.000082012615,0.00027248482,0.000021547703],"category_scores_gemma":[0.0003124238,0.0002068383,0.000078999925,0.00015228207,0.0009941569,0.000037844828,0.00007743031,0.0001323699,1.6364315e-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":[0.00049949135,0.000027387172,0.9505469,0.000042764874,0.00060167024,4.4963718e-7,0.00040338282,0.00041942633,0.014933742,0.000028207085,0.0005847058,0.031911857],"study_design_scores_gemma":[0.0017963909,0.00017147748,0.98874694,0.000120544646,0.00027891615,0.000020939558,0.00034315325,0.0005014606,0.0065684724,0.0004790931,0.000749223,0.00022339025],"about_ca_topic_score_codex":0.0021744391,"about_ca_topic_score_gemma":0.0060512475,"teacher_disagreement_score":0.038200025,"about_ca_system_score_codex":0.00010380395,"about_ca_system_score_gemma":0.00023190193,"threshold_uncertainty_score":0.84346217},"labels":[],"label_agreement":null},{"id":"W2130578679","doi":"10.1158/1055-9965.epi-13-0375","title":"Plasma C-Peptide, Mammographic Breast Density, and Risk of Invasive Breast Cancer","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":38,"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 Cancer Institute; Changchun University of Science and Technology","keywords":"Breast cancer; MAMMOGRAPHIC DENSITY; Mammography; Medicine; Oncology; Internal medicine; Cancer","score_opus":0.018549239737715932,"score_gpt":0.2929979873012896,"score_spread":0.2744487475635737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130578679","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":[0.98893297,0.0051305406,0.00022667985,0.0040597618,0.0003147643,0.00070409226,0.00016101124,0.0000652178,0.00040496924],"genre_scores_gemma":[0.99013436,0.0078031085,0.0010481367,0.0003375199,0.00014744358,0.00021530809,0.000061205785,0.000028467903,0.00022447995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977456,0.00039093575,0.0006765796,0.00056127645,0.00013771169,0.000487946],"domain_scores_gemma":[0.9980695,0.00046025254,0.0005895683,0.000317229,0.00027019597,0.00029325054],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008195752,0.0002939497,0.0007512331,0.00039999324,0.000102220016,0.000013936903,0.000118860604,0.00021665072,0.0003104494],"category_scores_gemma":[0.00016528419,0.00024899782,0.0003808371,0.00047762584,0.00076700415,0.00039033865,0.000088817214,0.00024571462,0.000011988632],"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":[0.00033560183,0.00009506151,0.83552736,0.00019137072,0.0014109535,0.0000041897956,0.000029197,0.0000036617398,0.0015381565,0.00009267971,0.0041565574,0.15661523],"study_design_scores_gemma":[0.0013960568,0.0001254803,0.9892838,0.0009576071,0.0007545178,0.0007256817,0.00009888644,0.00023220632,0.0003846175,0.0057323375,0.00008754161,0.0002212695],"about_ca_topic_score_codex":0.0048550945,"about_ca_topic_score_gemma":0.00071065215,"teacher_disagreement_score":0.15639396,"about_ca_system_score_codex":0.00007392468,"about_ca_system_score_gemma":0.00014178929,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W2130578918","doi":"10.1158/1055-9965.epi-03-0178","title":"High-Throughput Detection of Glutathione <b> <i>S</i> </b>-Transferase Polymorphic Alleles in a Pediatric Cancer Population","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pediatric Oncology Group","funders":"NIH Clinical Center; National Center for Research Resources; University of Utah","keywords":"Genotyping; Glutathione S-transferase; Biology; Allele; Molecular biology; Genotype; Population; Cancer; Genetics; Cancer research; Glutathione; Medicine; Gene; Enzyme; Biochemistry","score_opus":0.02024868445934844,"score_gpt":0.3050509121470872,"score_spread":0.2848022276877387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130578918","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":[0.9532689,0.024408253,0.019679511,0.0013150413,0.00073605136,0.00048491324,0.00007099938,0.000027669153,0.000008691961],"genre_scores_gemma":[0.9822221,0.0154417725,0.000978708,0.0003005217,0.00036511762,0.000251421,0.0003574224,0.00003851193,0.000044455985],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974301,0.0004242089,0.00090372574,0.00065337546,0.00012541417,0.00046316523],"domain_scores_gemma":[0.9991536,0.00005687449,0.00029389147,0.00031068202,0.000076888056,0.00010803518],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007939188,0.00030188964,0.00049660273,0.00021748968,0.00009077572,0.000004801899,0.0001691857,0.00045141156,0.00004065305],"category_scores_gemma":[0.00009232544,0.0003082102,0.00026927958,0.00034788056,0.00012236432,0.000024875311,0.0000323536,0.00018186614,0.000003744505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016142403,0.00037209978,0.27208883,0.00023932595,0.00030746576,0.0000074579457,0.00011106286,0.012464216,0.6937174,0.00064933574,0.00014173352,0.018286804],"study_design_scores_gemma":[0.006860943,0.0009874917,0.7730369,0.00030465412,0.00041651426,0.000027270145,0.00005405182,0.0001027727,0.20678195,0.010182059,0.0004260475,0.00081935205],"about_ca_topic_score_codex":0.009690915,"about_ca_topic_score_gemma":0.011668954,"teacher_disagreement_score":0.5009481,"about_ca_system_score_codex":0.00013549045,"about_ca_system_score_gemma":0.00017744412,"threshold_uncertainty_score":0.999937},"labels":[],"label_agreement":null},{"id":"W2131222591","doi":"10.1158/1055-9965.epi-13-0943","title":"Hormone Contraception before the First Birth and Endometrial Cancer Risk","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Endometrial cancer; Medicine; Pregnancy; Gynecology; Obstetrics; Cancer; Population; Breast cancer; Confidence interval; Internal medicine; Environmental health","score_opus":0.03371152541452144,"score_gpt":0.34141132996947193,"score_spread":0.3076998045549505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131222591","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":[0.922429,0.05279003,0.001022356,0.020622037,0.001161832,0.0017380997,0.00006742017,0.00007680104,0.00009242074],"genre_scores_gemma":[0.96866786,0.027282303,0.00024160484,0.0010440684,0.00092726375,0.0010440197,0.000047994665,0.00002875804,0.00071609835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980152,0.00033994624,0.0005918719,0.00047814098,0.00012694942,0.00044787908],"domain_scores_gemma":[0.9984569,0.00043942916,0.0004914502,0.00031866622,0.000115103525,0.00017844762],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012797168,0.0002447673,0.0005808846,0.00014983771,0.0002806902,0.000017056484,0.0001024481,0.00026414238,0.00094629894],"category_scores_gemma":[0.0005660658,0.00015709418,0.00023831305,0.00027852485,0.0004258038,0.00017305618,0.000053425116,0.00032365133,0.00003175096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047232557,0.000036704903,0.7520525,0.00003721644,0.00054183067,8.3199035e-7,0.00014795063,0.000007851905,0.00038686008,0.0000654473,0.027270652,0.21897984],"study_design_scores_gemma":[0.0030296785,0.00039609132,0.95056945,0.00011881846,0.0004083087,0.000011189358,0.000114597446,0.0007352408,0.000048212376,0.0025851384,0.04184045,0.00014281343],"about_ca_topic_score_codex":0.016003398,"about_ca_topic_score_gemma":0.0052019088,"teacher_disagreement_score":0.21883702,"about_ca_system_score_codex":0.00027662658,"about_ca_system_score_gemma":0.00009340201,"threshold_uncertainty_score":0.999967},"labels":[],"label_agreement":null},{"id":"W2131375425","doi":"10.1158/1055-9965.epi-05-0709","title":"The<i>AIB1</i>Polyglutamine Repeat Does Not Modify Breast Cancer Risk in<i>BRCA1</i>and<i>BRCA2</i>Mutation Carriers","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"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; Mount Sinai Hospital; Université Laval; Lunenfeld-Tanenbaum Research Institute; Centre hospitalier universitaire de Québec","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Breast cancer; Coactivator; Ovarian cancer; Glutamine; Cancer research; Nuclear receptor coactivator 3; Biology; Genetics; Mutation; Phenotype; Cancer; Gene; Internal medicine; Oncology; Medicine; Estrogen receptor; Transcription factor; Amino acid","score_opus":0.01274382283394058,"score_gpt":0.3028044214840981,"score_spread":0.2900605986501575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131375425","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":[0.9424924,0.04140389,0.0032051129,0.009227845,0.002051981,0.00089666166,0.0004812002,0.000058848575,0.00018203795],"genre_scores_gemma":[0.9804133,0.014289756,0.0010352951,0.0006660952,0.0007996068,0.0010137019,0.00032409653,0.000060830476,0.0013972978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961436,0.0009937024,0.00095650845,0.0010379712,0.00016297717,0.00070523366],"domain_scores_gemma":[0.99812627,0.00028158422,0.0006732335,0.00062480103,0.00017260811,0.00012151301],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020415897,0.00039234385,0.00042663387,0.00013110744,0.00043078078,0.000032340366,0.00031079858,0.00046360804,0.00003785479],"category_scores_gemma":[0.0003362333,0.00030207893,0.00021946068,0.0002719699,0.00067349215,0.00002952973,0.00014372238,0.00028694654,0.000004417223],"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":[0.0015606158,0.00011023977,0.7696232,0.00008961851,0.00101412,0.0000087067565,0.00015574638,0.005250756,0.06814593,0.0005350281,0.017346,0.13616003],"study_design_scores_gemma":[0.003739236,0.00021764239,0.9044124,0.00021219614,0.00041916297,0.000090662,0.00036413406,0.0036278588,0.032277253,0.01369483,0.039883543,0.0010610744],"about_ca_topic_score_codex":0.004826634,"about_ca_topic_score_gemma":0.017109267,"teacher_disagreement_score":0.13509896,"about_ca_system_score_codex":0.0004652271,"about_ca_system_score_gemma":0.00035686567,"threshold_uncertainty_score":0.99994314},"labels":[],"label_agreement":null},{"id":"W2132745165","doi":"10.1158/1055-9965.epi-07-2876","title":"Risk of Second Primary Cancer among Esophageal Cancer Patients: a Pooled Analysis of 13 Cancer Registries","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatchewan Cancer Agency; University of Manitoba; CancerCare Manitoba; BC Cancer Agency","funders":"National Cancer Institute","keywords":"Medicine; Cancer; Esophageal cancer; Internal medicine; Esophagus; Cancer registry; Population; Incidence (geometry); Oncology; Gastroenterology","score_opus":0.035229069391229766,"score_gpt":0.3573039687602216,"score_spread":0.3220748993689918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132745165","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":[0.8663174,0.12954484,0.00013115701,0.0006581333,0.00040550376,0.0011538388,0.0015389356,0.000043994285,0.00020618655],"genre_scores_gemma":[0.94767576,0.046948925,0.00031576716,0.00031279563,0.00017350694,0.001539606,0.0006046565,0.000045553905,0.002383445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953295,0.00095594814,0.0015333499,0.00090885867,0.0004924826,0.0007798796],"domain_scores_gemma":[0.9958283,0.00057163433,0.0018431039,0.000655167,0.0007172518,0.00038457057],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00112311,0.00045889203,0.0021107062,0.0007147177,0.00019614409,0.0000039289407,0.0002605011,0.00036830895,0.00315873],"category_scores_gemma":[0.00044390597,0.00038561167,0.0009830978,0.0014719542,0.001227462,0.00023481615,0.00011213379,0.00039835722,0.000002806579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023403284,0.00047093254,0.9489164,0.0004980541,0.024696779,0.000023534045,0.00030204633,0.00038091023,0.0002513757,0.000014463442,0.006846671,0.015258532],"study_design_scores_gemma":[0.0038943582,0.00061121676,0.981621,0.0005120001,0.009796882,0.000001960076,0.00003281592,0.00033978437,0.0024584113,0.0001630217,0.00031819812,0.000250316],"about_ca_topic_score_codex":0.042281196,"about_ca_topic_score_gemma":0.025462894,"teacher_disagreement_score":0.082595915,"about_ca_system_score_codex":0.0013599145,"about_ca_system_score_gemma":0.0013222294,"threshold_uncertainty_score":0.9998596},"labels":[],"label_agreement":null},{"id":"W2133030898","doi":"10.1158/1055-9965.1403.13.8","title":"Germ Line <i>BAX</i> Alterations Are Infrequent in Li-Fraumeni Syndrome","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related Molecular Pathways","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":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Li–Fraumeni syndrome; Germline; Biology; Gene; Genetics; Germ cell; Polymorphism (computer science); Cancer research; Mutation; Molecular biology; Germline mutation; Genotype","score_opus":0.05411375332789797,"score_gpt":0.3629107223266148,"score_spread":0.30879696899871684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133030898","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":[0.8986254,0.03288237,0.026443964,0.035507195,0.00258588,0.0026565585,0.00008703559,0.00030674777,0.0009048864],"genre_scores_gemma":[0.9874027,0.002416285,0.0050100796,0.0031583703,0.00024285245,0.00072907144,0.00045556037,0.000062707404,0.00052240875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969929,0.00042450393,0.0010758195,0.0007231829,0.00016522311,0.0006183583],"domain_scores_gemma":[0.9984305,0.00014919082,0.0004991846,0.0005622668,0.00011417439,0.00024471158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012962563,0.00032153603,0.0007896859,0.00037961523,0.00010110501,0.000008331541,0.00014633266,0.0004641612,0.00023663751],"category_scores_gemma":[0.00056732644,0.00032407243,0.000319674,0.00054106594,0.00021588753,0.00015876087,0.00006572799,0.00050005916,0.00008219456],"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":[0.0041383277,0.0042664283,0.63074106,0.0018166845,0.0059681074,0.0032245608,0.0014870714,0.04809865,0.17144941,0.010385724,0.03571702,0.082706966],"study_design_scores_gemma":[0.02735848,0.0028650747,0.84380364,0.00950322,0.0014838993,0.0022563639,0.00030090736,0.0023639451,0.01140712,0.06808082,0.028663501,0.0019130184],"about_ca_topic_score_codex":0.0007608606,"about_ca_topic_score_gemma":0.0020582103,"teacher_disagreement_score":0.2130626,"about_ca_system_score_codex":0.0014384838,"about_ca_system_score_gemma":0.00053664413,"threshold_uncertainty_score":0.99992114},"labels":[],"label_agreement":null},{"id":"W2133207965","doi":"10.1158/1055-9965.epi-14-0213","title":"Decline in Physical Activity Level in the Childhood Cancer Survivor Study Cohort","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":59,"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 Cancer Institute","keywords":"Medicine; Confidence interval; Physical activity; Demography; Cohort; Cohort study; Body mass index; Cancer; Internal medicine; Physical therapy","score_opus":0.11166116647963346,"score_gpt":0.43910984795956653,"score_spread":0.32744868147993306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133207965","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":[0.9661193,0.00135461,0.0007521719,0.02808218,0.00075298885,0.0026335802,0.000027369766,0.00006346847,0.00021435229],"genre_scores_gemma":[0.9931962,0.0003543912,0.0001992036,0.0039156433,0.00079101976,0.0013220103,0.00005067753,0.00004208791,0.00012878269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99097824,0.005833276,0.0009794103,0.0010338757,0.00043497834,0.0007402015],"domain_scores_gemma":[0.9960449,0.0023425955,0.00052061316,0.00085024367,0.00008405696,0.00015761358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012342467,0.0004199723,0.0014221204,0.00026118368,0.00011052781,0.000011674932,0.00041663315,0.00026167836,0.00008606162],"category_scores_gemma":[0.0019395774,0.0003239441,0.00032166642,0.0007050161,0.00026061584,0.00017676917,0.00014763814,0.0007675951,0.000017997994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006160502,0.0028389164,0.9422226,0.000079130936,0.00039682843,0.0000063298653,0.0017185338,0.000058850866,0.00009594591,0.00008321394,0.0015850877,0.050298516],"study_design_scores_gemma":[0.0042975,0.0005231335,0.98957294,0.0003900613,0.00026377905,0.000008020628,0.0005104996,0.0009298052,0.00005872538,0.0022306966,0.00090904534,0.00030580445],"about_ca_topic_score_codex":0.02975959,"about_ca_topic_score_gemma":0.09460621,"teacher_disagreement_score":0.06484663,"about_ca_system_score_codex":0.00047416636,"about_ca_system_score_gemma":0.00033978646,"threshold_uncertainty_score":0.99992126},"labels":[],"label_agreement":null},{"id":"W2133544901","doi":"10.1158/1055-9965.epi-08-1015","title":"Components of Metabolic Syndrome and Metachronous Colorectal Neoplasia","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Metabolic syndrome; Colorectal cancer; Medicine; Internal medicine; Cancer; Obesity","score_opus":0.04508548296347413,"score_gpt":0.35862079460732216,"score_spread":0.313535311643848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133544901","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":[0.9608241,0.035844326,0.00044558267,0.0016489503,0.00036600296,0.0006264503,0.000019382833,0.000036806778,0.00018839972],"genre_scores_gemma":[0.99448234,0.0034895486,0.0012892497,0.00035592925,0.000059614358,0.000053477776,0.00010644906,0.000011598134,0.00015177077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984135,0.00025201385,0.00056688115,0.00036743135,0.00009198815,0.00030815334],"domain_scores_gemma":[0.99910045,0.00015178174,0.00033549586,0.00019654712,0.000053711214,0.00016200998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000687941,0.000190428,0.0009046786,0.00015502342,0.00005521969,0.0000025629768,0.000068092624,0.00018406728,0.00014195348],"category_scores_gemma":[0.00011593103,0.00016380036,0.00021539631,0.0001689765,0.00022178162,0.00008538339,0.000024602836,0.00014387825,0.0000046490804],"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":[0.0013782459,0.00026772727,0.83935887,0.00011752356,0.0014476809,0.000023653356,0.00012740178,0.000010879176,0.02226118,0.0010525038,0.001673717,0.13228063],"study_design_scores_gemma":[0.0014668923,0.0006456039,0.99043596,0.00015972744,0.00055193354,0.00017062465,0.000022220334,0.00023129141,0.0007920863,0.0016634078,0.0037263338,0.00013394684],"about_ca_topic_score_codex":0.00049248774,"about_ca_topic_score_gemma":0.00006129958,"teacher_disagreement_score":0.15107708,"about_ca_system_score_codex":0.00007074306,"about_ca_system_score_gemma":0.00008442409,"threshold_uncertainty_score":0.6679585},"labels":[],"label_agreement":null},{"id":"W2133591865","doi":"10.1158/1055-9965.epi-13-0957","title":"Reduced Nicotine Cigarettes: Smoking Behavior and Biomarkers of Exposure among Smokers Not Intending to Quit","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":48,"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 Waterloo","funders":"","keywords":"Nicotine; Smoke; Medicine; Smoking cessation; Nicotine dependence; Cigarette smoke; Cigarette smoking; Physiology; Environmental health; Toxicology; Internal medicine; Chemistry; Pathology","score_opus":0.06117984810578946,"score_gpt":0.3708058905129687,"score_spread":0.3096260424071792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133591865","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":[0.99412227,0.00044611865,0.0015074281,0.0018330874,0.0010183261,0.0008438884,0.000012649932,0.00009719305,0.000119030556],"genre_scores_gemma":[0.99773186,0.0001261159,0.00079242093,0.00055539573,0.00016301309,0.0003140506,0.00012036667,0.000044684144,0.00015211666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970242,0.0005564744,0.0009932622,0.00070839905,0.00022422463,0.0004934395],"domain_scores_gemma":[0.9980852,0.000418066,0.00059843453,0.00044778863,0.00017510701,0.00027541307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031038316,0.00030760578,0.00078439916,0.00042466092,0.00012763329,0.000010285166,0.00014913848,0.00040663534,0.00015005391],"category_scores_gemma":[0.0012182697,0.00029445114,0.00024214917,0.0003702906,0.00035791,0.00015551562,0.000092259696,0.00026011735,9.4243234e-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":[0.00039178072,0.00006840178,0.89893985,0.00009182376,0.00030013002,0.000002047571,0.00018423497,0.000006018577,0.030243294,0.00007746261,0.0010589038,0.06863607],"study_design_scores_gemma":[0.0015338538,0.00052456005,0.97905266,0.0010517966,0.0009800596,0.000018001989,0.00031043284,0.000087104156,0.015846884,0.00012301073,0.00020840553,0.0002631998],"about_ca_topic_score_codex":0.00049895456,"about_ca_topic_score_gemma":0.00006168085,"teacher_disagreement_score":0.08011285,"about_ca_system_score_codex":0.00027317935,"about_ca_system_score_gemma":0.000071915434,"threshold_uncertainty_score":0.99995077},"labels":[],"label_agreement":null},{"id":"W2133925195","doi":"10.1158/1055-9965.epi-08-0589","title":"Physical Activity among Lung Cancer Survivors: Changes across the Cancer Trajectory and Associations with Quality of Life","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Lung cancer; Quality of life (healthcare); Medicine; Psychological intervention; Physical activity; Cancer; Physical therapy; Gerontology; Oncology; Internal medicine; Psychiatry; Nursing","score_opus":0.06558200836569858,"score_gpt":0.42055346011746486,"score_spread":0.35497145175176625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133925195","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":[0.969962,0.014796111,0.00046111608,0.013236376,0.00045922052,0.0007347383,0.00022048775,0.000055999586,0.00007395698],"genre_scores_gemma":[0.9950497,0.0027796482,0.000034827965,0.0009223105,0.00046391608,0.00045783832,0.000036509467,0.000020806836,0.0002344347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972768,0.0010723987,0.00038918026,0.000550904,0.00022784152,0.00048287792],"domain_scores_gemma":[0.99775326,0.00076654553,0.00071648223,0.00037582082,0.00020862221,0.00017925957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020361964,0.00026859966,0.00090175366,0.000057832116,0.00021216198,0.000009416842,0.0001385024,0.00023199363,0.000057756773],"category_scores_gemma":[0.0003281039,0.00018565425,0.00021538677,0.00034397526,0.00052520644,0.00014073127,0.0000391575,0.00033089722,2.9167148e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007915077,0.00014331052,0.9468476,0.00018635536,0.0008129884,6.1020074e-7,0.0016457461,0.00003523784,0.001885165,0.00007049489,0.0008857271,0.046695214],"study_design_scores_gemma":[0.001004308,0.0001939136,0.99587405,0.00032682437,0.0004034833,8.34168e-7,0.00048479988,0.00043087004,0.00070336065,0.00018790447,0.0001842751,0.00020536454],"about_ca_topic_score_codex":0.050636467,"about_ca_topic_score_gemma":0.2638011,"teacher_disagreement_score":0.21316464,"about_ca_system_score_codex":0.0003739438,"about_ca_system_score_gemma":0.00033568015,"threshold_uncertainty_score":0.95568544},"labels":[],"label_agreement":null},{"id":"W2134111015","doi":"10.1158/1055-9965.epi-12-0247","title":"Estrogen Metabolism and Mammographic Density in Postmenopausal Women: A Cross-Sectional Study","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","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":"McMaster University; Juravinski Cancer Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Estrone; Breast cancer; Estrogen; Medicine; Endocrinology; Internal medicine; Body mass index; Cross-sectional study; Urinary system; Cancer; Physiology; Gynecology; Pathology","score_opus":0.041541134591140796,"score_gpt":0.37320605762807124,"score_spread":0.33166492303693046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134111015","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":[0.9851171,0.013140348,0.000095431955,0.00030353304,0.0005253346,0.0006227582,0.000010118899,0.00005134046,0.00013406201],"genre_scores_gemma":[0.99843526,0.00017144106,0.00044661798,0.00036503997,0.00020555343,0.0002473129,0.000034226883,0.00001605685,0.000078496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978663,0.0004300841,0.00054433034,0.00041159306,0.00011984171,0.00062785647],"domain_scores_gemma":[0.9991194,0.00017934288,0.00017588775,0.00019259102,0.000055565542,0.0002772257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002883271,0.00020443366,0.0004922834,0.00040481702,0.000088285546,0.00001454148,0.00006339518,0.00014198333,0.000057431775],"category_scores_gemma":[0.00018605389,0.00018409111,0.0001346955,0.00041698944,0.00028983317,0.0003919943,0.000057894053,0.00020950311,0.000005071907],"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":[0.00073990657,0.00057885377,0.985886,0.00003273698,0.0005816547,0.000008637562,0.00015494485,8.4099054e-7,0.00033651313,0.00040013687,0.000050310995,0.011229473],"study_design_scores_gemma":[0.0018078883,0.00028790114,0.9944578,0.00003482916,0.00010417888,0.00018541332,0.00018182838,0.000015392234,0.00002074478,0.0024459455,0.00030770455,0.00015038352],"about_ca_topic_score_codex":0.0002377975,"about_ca_topic_score_gemma":0.000042200536,"teacher_disagreement_score":0.013318182,"about_ca_system_score_codex":0.0001338084,"about_ca_system_score_gemma":0.00005706332,"threshold_uncertainty_score":0.7507018},"labels":[],"label_agreement":null},{"id":"W2134158462","doi":"10.1158/1055-9965.epi-09-0955","title":"Assessing Tumor Mutations to Gain Insight into Base Excision Repair Sequence Polymorphisms and Smoking in Colon Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":47,"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 Cancer Institute; University of Utah; National Institutes of Health; Utah Department of Health","keywords":"XRCC1; Microsatellite instability; Base excision repair; DNA repair; Colorectal cancer; DNA mismatch repair; Genetics; Biology; Odds ratio; Missense mutation; Cancer; Genotype; Cancer research; Medicine; Internal medicine; Mutation; Single-nucleotide polymorphism; Microsatellite; Gene; Allele","score_opus":0.0943759719519518,"score_gpt":0.4256847841559613,"score_spread":0.3313088122040095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134158462","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":[0.9718108,0.012014395,0.0031225341,0.01094909,0.0007442125,0.001052736,0.000007907237,0.000119407,0.00017887294],"genre_scores_gemma":[0.9761161,0.0005639088,0.017790994,0.0047855056,0.00015355957,0.00039252389,0.0000425149,0.00002740081,0.00012745833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968697,0.0007074201,0.0008467703,0.00085769815,0.00018948207,0.0005289659],"domain_scores_gemma":[0.99838626,0.0005358549,0.0003208608,0.00034756755,0.0001248055,0.0002846561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001875487,0.00029728032,0.0006520822,0.00044364404,0.000161508,0.000018203908,0.00011654473,0.00025363165,0.0002122836],"category_scores_gemma":[0.0014297736,0.00028651915,0.00014513497,0.0006544996,0.0002114222,0.00025609272,0.000067736495,0.00031732113,0.0000040981377],"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":[0.00094136747,0.00014784717,0.5906705,0.00013266443,0.00016763869,0.00009630601,0.001092932,0.00069043715,0.19298899,0.00014218003,0.0020544538,0.21087469],"study_design_scores_gemma":[0.0017017405,0.00077259896,0.9719731,0.002103716,0.0002176074,0.0000604819,0.00020855037,0.0042869276,0.008895773,0.008111643,0.0012410664,0.00042680075],"about_ca_topic_score_codex":0.0017325955,"about_ca_topic_score_gemma":0.0014372726,"teacher_disagreement_score":0.3813026,"about_ca_system_score_codex":0.0013736599,"about_ca_system_score_gemma":0.00047479194,"threshold_uncertainty_score":0.9999587},"labels":[],"label_agreement":null},{"id":"W2134184719","doi":"10.1158/1055-9965.1065.13.6","title":"The <i>P2X7</i> Receptor Gene A1513C Polymorphism Does Not Contribute to Risk of Familial or Sporadic Chronic Lymphocytic Leukemia","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","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":"Institute of Cancer Research","funders":"","keywords":"Chronic lymphocytic leukemia; Odds ratio; Allele; Genotyping; Confidence interval; Genotype; Leukemia; Internal medicine; Allele frequency; Immunology; Oncology; Genetics; Biology; Medicine; Gene","score_opus":0.03461615817841759,"score_gpt":0.35201851819867397,"score_spread":0.3174023600202564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134184719","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":[0.9649102,0.01948065,0.0040652594,0.0061177965,0.002263046,0.0026726325,0.00027024085,0.00014795581,0.00007222227],"genre_scores_gemma":[0.96465856,0.02491947,0.002977473,0.0014702536,0.0013372392,0.00072666764,0.00019845273,0.000100156605,0.003611742],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9944686,0.0010252966,0.0016405071,0.0009956158,0.00051579095,0.0013541499],"domain_scores_gemma":[0.9951079,0.0019622091,0.0008735468,0.001180689,0.0003128463,0.0005628215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049321996,0.0004792336,0.0012631526,0.00024892666,0.00038873797,0.000014704781,0.00057576573,0.0005333221,0.00027169706],"category_scores_gemma":[0.0037917912,0.00028522126,0.0005561166,0.00067540933,0.0010796854,0.00012841118,0.00023122842,0.0004383479,0.00015596258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.10406866,0.000549613,0.03565275,0.002428515,0.016237259,0.0005071604,0.0013146801,0.014141442,0.36399388,0.0031681135,0.08362645,0.37431148],"study_design_scores_gemma":[0.22840367,0.010854241,0.07861622,0.007238754,0.0056108255,0.0011405838,0.0007372792,0.020255717,0.51669323,0.025774615,0.101450235,0.0032245948],"about_ca_topic_score_codex":0.014943804,"about_ca_topic_score_gemma":0.0026264742,"teacher_disagreement_score":0.37108687,"about_ca_system_score_codex":0.10631981,"about_ca_system_score_gemma":0.04180511,"threshold_uncertainty_score":0.99996},"labels":[],"label_agreement":null},{"id":"W2134385256","doi":"10.1158/1055-9965.epi-04-0564","title":"Tanning Beds, Sunlamps, and Risk of Cutaneous Malignant Melanoma","year":2005,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":234,"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; University of British Columbia; BC Cancer Agency","funders":"Michael Smith Health Research BC","keywords":"Medicine; Odds ratio; Confusion; Confidence interval; Cohort study; Melanoma; Dermatology; Absolute risk reduction; Case-control study; Cohort; Meta-analysis; Internal medicine; Psychology","score_opus":0.07050018977305143,"score_gpt":0.3897377453679841,"score_spread":0.31923755559493266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134385256","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":[0.00033715754,0.99543357,0.000610681,0.00020889327,0.0008586968,0.0017639275,0.00007243575,0.000092216185,0.0006224387],"genre_scores_gemma":[0.00012744915,0.99251074,0.0022486697,0.00009043044,0.00040939945,0.00026625677,0.0002255022,0.00007321564,0.004048312],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955174,0.0012419644,0.0016926118,0.00088025327,0.00015806472,0.00050973275],"domain_scores_gemma":[0.9965075,0.0007307134,0.0018738405,0.00057594193,0.00008290297,0.00022909924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016830317,0.00056583225,0.0030432644,0.00047992257,0.00011407367,0.000007182026,0.00015805972,0.00071657303,0.00038328872],"category_scores_gemma":[0.0005225564,0.00046168285,0.00087393395,0.0002776718,0.0002858743,0.00004665139,0.00014244099,0.00048456772,0.00003174608],"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":[0.00015044017,0.000067694,0.0023948138,0.006710855,0.0033455228,0.00007687243,0.00002137812,0.000002036238,0.00000400928,0.00010151785,0.003976965,0.9831479],"study_design_scores_gemma":[0.00052025786,0.00043269593,0.0004486204,0.013042095,0.0086634895,0.0018418662,0.000031389864,0.000073162744,0.0000030298045,0.00023765038,0.97433543,0.00037031714],"about_ca_topic_score_codex":0.00030033258,"about_ca_topic_score_gemma":0.00017082192,"teacher_disagreement_score":0.9827776,"about_ca_system_score_codex":0.00039118523,"about_ca_system_score_gemma":0.00024090262,"threshold_uncertainty_score":0.9997835},"labels":[],"label_agreement":null},{"id":"W2135002884","doi":"10.1158/1055-9965.epi-14-0317","title":"Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":72,"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 Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institute for Health and Care Research; Cancer Research UK; Francis Crick Institute","keywords":"Prostate cancer; Medicine; Prostate; Oncology; Cancer; Multinational corporation; Gynecology; Internal medicine; Political science","score_opus":0.09613802427043813,"score_gpt":0.43818297145802365,"score_spread":0.3420449471875855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135002884","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":[0.96455234,0.026288072,0.00033758135,0.0053059403,0.0004769703,0.0020746905,0.0008645773,0.000046130666,0.000053699183],"genre_scores_gemma":[0.9786546,0.0150834555,0.0034887607,0.00032439726,0.00010678991,0.0016245153,0.0004280369,0.000037115078,0.0002522995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950986,0.0013293655,0.0015470681,0.0010181372,0.00032255292,0.0006842881],"domain_scores_gemma":[0.99612683,0.0007214109,0.0015110429,0.00048706148,0.0007920866,0.00036154524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034976276,0.00039402206,0.0014714395,0.0005858716,0.00009534359,0.000010374509,0.00010608853,0.00028562444,0.0005081438],"category_scores_gemma":[0.0016327655,0.00033945785,0.0004525899,0.0014064345,0.00057763857,0.00027867183,0.000091406924,0.00034904346,0.0000039895694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019672525,0.0007390393,0.95984143,0.00017817874,0.0051801316,0.000016796663,0.00059382047,0.006560708,0.00053984363,0.000060385235,0.0018210835,0.022501346],"study_design_scores_gemma":[0.005049013,0.00040681715,0.9571349,0.00058660965,0.005966209,0.000004854503,0.00036290262,0.026795018,0.0008717965,0.001073011,0.0014173567,0.00033149877],"about_ca_topic_score_codex":0.020838317,"about_ca_topic_score_gemma":0.016986677,"teacher_disagreement_score":0.022169847,"about_ca_system_score_codex":0.0025204758,"about_ca_system_score_gemma":0.0020216086,"threshold_uncertainty_score":0.99990577},"labels":[],"label_agreement":null},{"id":"W2135144456","doi":"10.1158/1055-9965.epi-11-1079","title":"Expression of Kallikrein-Related Peptidase 7 Predicts Poor Prognosis in Patients with Unresectable Pancreatic Ductal Adenocarcinoma","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","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":"Princess Margaret Cancer Centre; University Health Network; St. Michael's Hospital","funders":"U.S. Department of Veterans Affairs","keywords":"Pancreatic Intraepithelial Neoplasia; Tissue microarray; Medicine; Pancreatic cancer; Immunohistochemistry; Adenocarcinoma; Oncology; Population; Cancer; Pathology; Internal medicine; Cancer research; Pancreatic ductal adenocarcinoma","score_opus":0.028422952873414183,"score_gpt":0.3026024608064419,"score_spread":0.2741795079330277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135144456","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":[0.9815488,0.01602881,0.00012554626,0.00044947583,0.00032540175,0.0012843948,0.000018627039,0.000061217994,0.00015775819],"genre_scores_gemma":[0.9971456,0.00020434332,0.0013380937,0.000093452894,0.00011764651,0.00023515707,0.0004062097,0.00003935783,0.00042015905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971838,0.00053026865,0.0009396012,0.0004513167,0.00024233286,0.000652663],"domain_scores_gemma":[0.99840957,0.00031562013,0.00059979537,0.00027105171,0.00014860267,0.00025533492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012078723,0.00028729136,0.00077398476,0.00026642936,0.00007657058,0.000003730065,0.000114873095,0.00030470066,0.00034475143],"category_scores_gemma":[0.00042175283,0.00022731641,0.00018060546,0.00041404302,0.00023634968,0.0003494225,0.00005887213,0.00018450883,0.000009398437],"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":[0.001670894,0.0005884728,0.9925381,0.00023432377,0.0003168283,0.000003151952,0.00025648228,0.000016787495,0.0013273186,0.00006697111,0.0013018925,0.0016787758],"study_design_scores_gemma":[0.004621955,0.000710761,0.9883492,0.001679768,0.0004154599,0.000010037545,0.000071158574,0.00022809103,0.0033584451,0.00028197357,0.000061818115,0.00021130392],"about_ca_topic_score_codex":0.00039262546,"about_ca_topic_score_gemma":0.00004577252,"teacher_disagreement_score":0.015824467,"about_ca_system_score_codex":0.00020347339,"about_ca_system_score_gemma":0.00014605832,"threshold_uncertainty_score":0.92696947},"labels":[],"label_agreement":null},{"id":"W2135158008","doi":"10.1158/1055-9965.epi-14-0848","title":"Challenges and Opportunities in International Molecular Cancer Prevention Research: An ASPO Molecular Epidemiology and the Environment and International Cancer Prevention Interest Groups Report","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"National Cancer Institute; U.S. Public Health Service; National Institute of Environmental Health Sciences; American Society of Preventive Oncology; Cancer Research Society","keywords":"Cancer; Cancer prevention; Epidemiology; Epidemiology of cancer; International agency; Causes of cancer; Agency (philosophy); Political science; Public relations; Medicine; Environmental health; Pathology; Sociology; Social science; Breast cancer; Internal medicine","score_opus":0.2659328913358128,"score_gpt":0.43735947455455754,"score_spread":0.1714265832187447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135158008","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":[0.8646533,0.08161388,0.0071689324,0.043955676,0.00093603326,0.0010542355,0.000010219867,0.00005179257,0.00055593107],"genre_scores_gemma":[0.9024521,0.093717374,0.0009139806,0.0005916803,0.00028263577,0.0013362824,0.00013016023,0.00003265826,0.0005431312],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9935756,0.0036854628,0.0010009386,0.001035456,0.000228856,0.00047374275],"domain_scores_gemma":[0.9978373,0.00082817645,0.0005843855,0.0003773732,0.00015374059,0.00021902885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011348805,0.00030230382,0.0007213788,0.0004207569,0.00014680765,0.000020494106,0.00018002892,0.0003469338,0.00010632213],"category_scores_gemma":[0.0014222338,0.00025326817,0.00014733395,0.000094599214,0.0010129097,0.00029624725,0.00026297368,0.0005278343,9.949514e-7],"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":[0.00517755,0.00016788187,0.09060924,0.00017439286,0.0009775943,0.000040407256,0.0005852642,0.000121384044,0.0014747118,0.01235548,0.00020379697,0.8881123],"study_design_scores_gemma":[0.008521886,0.0024449516,0.7830768,0.0021514038,0.0005609705,0.0005447407,0.0014549728,0.020436313,0.00046733618,0.1669954,0.012699901,0.00064532127],"about_ca_topic_score_codex":0.0012857208,"about_ca_topic_score_gemma":0.0027932306,"teacher_disagreement_score":0.88746697,"about_ca_system_score_codex":0.00045803672,"about_ca_system_score_gemma":0.000121549594,"threshold_uncertainty_score":0.99999195},"labels":[],"label_agreement":null},{"id":"W2135184355","doi":"10.1158/1055-9965.epi-11-0569","title":"Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"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":"Cancer Council Tasmania; National Health and Medical Research Council; Medical Research Council; U.S. Army; Alleanza Contro il Cancro; Universität Ulm; Medical Research and Materiel Command; Fondazione Italiana per la Ricerca sul Cancro; Cancer Council Victoria; Oulun Yliopisto; Deutsche Krebshilfe; Medizinischen Hochschule Hannover; Norges Forskningsråd; Cancer Research UK; KWF Kankerbestrijding; Wellcome Trust; Herlev Hospital; Robert Bosch Stiftung; Bundesministerium für Bildung und Forschung; National Breast Cancer Foundation; National Institute for Health and Care Research; Academia Sinica; European Commission; King's College London; National Cancer Institute; Kuopion Yliopistollinen Sairaala; Breast Cancer Campaign; National Institutes of Health; Deutsche Gesetzliche Unfallversicherung; Ministero della Salute; Academy of Finland; Cancer Care Ontario; Deutsches Krebsforschungszentrum; Institute of Biomedical Sciences, Academia Sinica; Associazione Italiana per la Ricerca sul Cancro; Lon V. Smith Foundation; Itä-Suomen Yliopisto; Sundhed og Sygdom, Det Frie Forskningsråd; Taiwan Biobank; U.S. Department of Health and Human Services","keywords":"Breast cancer; Progesterone receptor; Locus (genetics); Medicine; Internal medicine; Oncology; Gynecology; Cancer; Endocrinology; Biology; Estrogen receptor; Genetics; Gene","score_opus":0.03672389432878117,"score_gpt":0.34017443340151143,"score_spread":0.3034505390727303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135184355","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":[0.9846533,0.007843715,0.0042632194,0.0006273196,0.00087759306,0.0013425527,0.00022920573,0.000026926233,0.00013615323],"genre_scores_gemma":[0.9956723,0.0012166409,0.0013686067,0.00016933666,0.0001690398,0.00056819606,0.0004899029,0.00003200079,0.0003140058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99769616,0.00067924743,0.0005887694,0.0005641135,0.00007231998,0.00039936323],"domain_scores_gemma":[0.9987501,0.000093945564,0.00050030154,0.00032857296,0.00020302914,0.00012407944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012327278,0.00025271904,0.00039934707,0.00006232366,0.00008741907,0.000003439432,0.00017938149,0.0005169168,0.00016197901],"category_scores_gemma":[0.00015539033,0.0002265261,0.00032616817,0.000100314,0.00034563578,0.000017560158,0.00005845625,0.00011905903,0.000008847068],"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":[0.007016702,0.0006496822,0.1417445,0.00030590367,0.0019633167,0.0000014719326,0.00020398672,0.00003540817,0.80892247,0.00039139547,0.009975928,0.028789256],"study_design_scores_gemma":[0.004611176,0.0031858268,0.18327309,0.0006173313,0.00072374404,0.00005686114,0.00015818229,0.00028612337,0.79887235,0.0035267717,0.0037594663,0.0009290707],"about_ca_topic_score_codex":0.0005537685,"about_ca_topic_score_gemma":0.00015132016,"teacher_disagreement_score":0.041528597,"about_ca_system_score_codex":0.000075116084,"about_ca_system_score_gemma":0.00016983175,"threshold_uncertainty_score":0.9237466},"labels":[],"label_agreement":null},{"id":"W2135473549","doi":"10.1158/1055-9965.425.13.3","title":"Hepatitis C Virus and Risk of Non-Hodgkin Lymphoma: A Population-Based Case-Control Study among Connecticut Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hepatitis C virus research","field":"Medicine","cited_by":53,"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 Cancer Institute; Yale University","keywords":"Medicine; Hepatitis C virus; Odds ratio; Population; Lymphoma; Immunology; Internal medicine; Non-Hodgkin's lymphoma; Follicular lymphoma; Hepatitis C; Confidence interval; Risk factor; Antibody; Case-control study; Virus; Environmental health","score_opus":0.02849985153711749,"score_gpt":0.36473994842599683,"score_spread":0.33624009688887935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135473549","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":[0.9906663,0.001220968,0.005103498,0.00032651224,0.00020735273,0.0022378177,0.00014356739,0.000053636,0.000040382034],"genre_scores_gemma":[0.99655324,0.0010106873,0.0012241399,0.00016820847,0.00008512088,0.0008409033,0.000037681857,0.000037732585,0.000042303363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958771,0.0017476283,0.0009699297,0.00061978196,0.00021642735,0.0005691437],"domain_scores_gemma":[0.99719924,0.001270825,0.00058374536,0.00044538017,0.00019426353,0.00030654998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040339273,0.0002649379,0.00097180065,0.00034968325,0.0001805283,0.000008049902,0.00009377045,0.0002698516,0.00023314619],"category_scores_gemma":[0.0026547534,0.00024632324,0.0001730467,0.00033986184,0.00030657963,0.00013856482,0.00004276675,0.00020189925,0.0000076016054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008780649,0.00042167702,0.94641787,0.00010914429,0.0013207064,0.00024738794,0.00030408203,0.0002495887,0.00022580184,0.000010361798,0.000073943505,0.049741376],"study_design_scores_gemma":[0.010624599,0.0015393995,0.98145986,0.00022084914,0.0005220819,0.00004865525,0.00016714339,0.004128328,0.00013879727,0.0009340081,0.000022891672,0.00019338969],"about_ca_topic_score_codex":0.14812098,"about_ca_topic_score_gemma":0.051435973,"teacher_disagreement_score":0.096685015,"about_ca_system_score_codex":0.00095047796,"about_ca_system_score_gemma":0.00037629085,"threshold_uncertainty_score":0.9999989},"labels":[],"label_agreement":null},{"id":"W2136116577","doi":"10.1158/1055-9965.epi-10-0909","title":"Common Genetic Variation at <i>BARD1</i> Is Not Associated with Breast Cancer Risk in <i>BRCA1</i> or <i>BRCA2</i> Mutation Carriers","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","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":"Medical Research Council; Canadian Institutes of Health Research; National Institute for Health and Care Research; National Breast Cancer Foundation; Canadian Breast Cancer Research Alliance; National Cancer Institute; National Institutes of Health; Cancer Research UK; National Health and Medical Research Council; Breast Cancer Research Foundation","keywords":"Breast cancer; Mutation; Oncology; Genetics; Medicine; Cancer; Internal medicine; Biology; Cancer research; Gene","score_opus":0.0324238985985137,"score_gpt":0.3091931527851387,"score_spread":0.276769254186625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136116577","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":[0.98605686,0.005238995,0.0040693628,0.0013179346,0.00096366805,0.0010896282,0.0009430715,0.00006604239,0.00025440688],"genre_scores_gemma":[0.988571,0.0033778725,0.0026636445,0.0024139422,0.00022896077,0.0011505956,0.00057721714,0.00009426353,0.0009225154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99559647,0.0013557817,0.00097486976,0.0011437855,0.00021343178,0.0007156823],"domain_scores_gemma":[0.99766505,0.00017244143,0.0010806257,0.00064155395,0.00026076622,0.00017958312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014608175,0.00046456372,0.00059062627,0.00018351279,0.0002582191,0.000012822827,0.0003457628,0.00065208855,0.00051647594],"category_scores_gemma":[0.00028944714,0.0004167122,0.00020589957,0.00052627205,0.0003754412,0.000037503654,0.00013738863,0.00027632914,0.00001375802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004812397,0.00022970779,0.93335813,0.000061392355,0.0019489692,0.000018916975,0.0010475174,0.0019206897,0.014781102,0.000016778238,0.017758759,0.024045648],"study_design_scores_gemma":[0.0034552165,0.00047010405,0.975246,0.00023652449,0.00050844776,0.00005990662,0.00012230885,0.00095213787,0.015280885,0.0007942164,0.0021792797,0.0006949383],"about_ca_topic_score_codex":0.003352832,"about_ca_topic_score_gemma":0.027640823,"teacher_disagreement_score":0.041887913,"about_ca_system_score_codex":0.0010516343,"about_ca_system_score_gemma":0.0006540162,"threshold_uncertainty_score":0.99982846},"labels":[],"label_agreement":null},{"id":"W2136547085","doi":"10.1158/1055-9965.epi-07-2857","title":"The Relative Importance of Genetics and Environment on Mammographic Density","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada); inVentiv Health Clinical","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"MAMMOGRAPHIC DENSITY; Genetics; Biology; Mammography; Breast cancer; Cancer","score_opus":0.02882315302409769,"score_gpt":0.3208538579602163,"score_spread":0.2920307049361186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136547085","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":[0.9631143,0.023776567,0.0012625782,0.010536362,0.00011079656,0.00037792913,0.0000052252312,0.000019528006,0.0007967056],"genre_scores_gemma":[0.991318,0.0065963212,0.001213586,0.0006824214,0.00003560741,0.000014799582,0.000012430646,0.0000056083913,0.00012124216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989369,0.00017370882,0.0003511635,0.00025501192,0.00007752705,0.00020568074],"domain_scores_gemma":[0.9991183,0.00030427874,0.00025217308,0.00022292836,0.00002290813,0.00007937913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008403461,0.000117786716,0.00026126578,0.00007581188,0.00008884635,0.0000028320812,0.000052012376,0.00008194364,0.000007728161],"category_scores_gemma":[0.00011045154,0.00008201493,0.00016332789,0.00011762322,0.00041370926,0.000055184657,0.00001482108,0.00011652695,0.0000011685221],"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":[0.00039378597,0.000064721346,0.7717837,0.000013680228,0.00025994398,0.000003217926,0.000019024737,0.0000031236723,0.0005732613,0.0028817493,0.00056201976,0.22344175],"study_design_scores_gemma":[0.000431723,0.0004722493,0.93938833,0.00013874102,0.00013824298,0.000022780087,0.000018470559,0.00008375383,0.00035313334,0.057971008,0.00091025076,0.000071290844],"about_ca_topic_score_codex":0.000007439697,"about_ca_topic_score_gemma":0.000008843027,"teacher_disagreement_score":0.22337045,"about_ca_system_score_codex":0.000038488277,"about_ca_system_score_gemma":0.000021200192,"threshold_uncertainty_score":0.33444718},"labels":[],"label_agreement":null},{"id":"W2136612327","doi":"10.1158/1055-9965.epi-08-0341","title":"Red Meat Intake, Doneness, Polymorphisms in Genes that Encode Carcinogen-Metabolizing Enzymes, and Colorectal Cancer Risk","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Cancer Care Ontario","funders":"National Cancer Institute","keywords":"Colorectal cancer; Red meat; Medicine; Odds ratio; Population; Carcinogen; Cancer; Internal medicine; Oncology; Genotype; Physiology; Gastroenterology; Genetics; Biology; Environmental health; Gene; Pathology","score_opus":0.06860447009834202,"score_gpt":0.3285901968031089,"score_spread":0.2599857267047669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136612327","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":[0.8586092,0.13724257,0.0010136405,0.0011527021,0.0010095638,0.00066272024,0.000029781573,0.000119837714,0.00015996516],"genre_scores_gemma":[0.9509406,0.046000246,0.0015100403,0.00028002978,0.00037237268,0.00052421127,0.000060801416,0.0000424597,0.00026922702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967309,0.0008736527,0.00070625794,0.0008703007,0.00019370855,0.00062513107],"domain_scores_gemma":[0.99855065,0.0003563811,0.00048130177,0.00028146303,0.000094349,0.00023583615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012673453,0.00037122436,0.00094867934,0.0003959112,0.0002840953,0.0000073049523,0.00011401073,0.0004302185,0.00013815386],"category_scores_gemma":[0.00028267165,0.00034648878,0.0002388217,0.0004964018,0.00040648953,0.00020301099,0.00008926808,0.00042530915,0.0000037785487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004024748,0.000050861145,0.92865944,0.00004801222,0.00031493139,0.00003439822,0.00021020793,0.00007580916,0.00884437,0.000025390478,0.0009653618,0.05674646],"study_design_scores_gemma":[0.0024655994,0.00048479976,0.96662277,0.00030696613,0.00032303418,0.00023649358,0.00007680121,0.0013052432,0.02561536,0.00040506406,0.0018421059,0.00031575997],"about_ca_topic_score_codex":0.016396092,"about_ca_topic_score_gemma":0.010765185,"teacher_disagreement_score":0.092331395,"about_ca_system_score_codex":0.00045715945,"about_ca_system_score_gemma":0.00033030004,"threshold_uncertainty_score":0.99989873},"labels":[],"label_agreement":null},{"id":"W2136636061","doi":"10.1158/1055-9965.epi-13-0189","title":"Diagnostic Chest X-Rays and Breast Cancer Risk before Age 50 Years for <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Germline mutation; Cancer; Internal medicine; Oncology; BRCA mutation; Mutation; Genetics","score_opus":0.014929100073959407,"score_gpt":0.3034932026113287,"score_spread":0.2885641025373693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136636061","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":[0.9647489,0.022870405,0.0067953393,0.0027800302,0.0007935163,0.0014746096,0.00047482006,0.000035151774,0.000027223057],"genre_scores_gemma":[0.9800699,0.008566217,0.00583403,0.00096201716,0.00056073023,0.0030523937,0.00055685145,0.00006470126,0.00033317102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978267,0.0003335297,0.0004888001,0.00080929627,0.00007782808,0.0004638296],"domain_scores_gemma":[0.99865466,0.00029831918,0.0003946852,0.0003201093,0.00014524594,0.00018699818],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007834021,0.0002866309,0.00036213198,0.00008551754,0.00019797962,0.000028671053,0.00014830646,0.0003835616,0.00006422516],"category_scores_gemma":[0.00058644114,0.00029270622,0.00013676903,0.00011438065,0.00049078,0.000031481843,0.00009720171,0.00013793718,0.0000039806714],"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":[0.0002842226,0.000063335065,0.59001094,0.00023765804,0.0014006259,0.0000036227498,0.00054805545,0.00038132924,0.02060279,0.00010645432,0.040144194,0.34621674],"study_design_scores_gemma":[0.0017474135,0.00027822008,0.9738347,0.00012221867,0.00037004097,0.000037911264,0.00022162615,0.0005554707,0.0012111422,0.0069340477,0.014261413,0.00042581983],"about_ca_topic_score_codex":0.0011225236,"about_ca_topic_score_gemma":0.0016132634,"teacher_disagreement_score":0.38382372,"about_ca_system_score_codex":0.00016678992,"about_ca_system_score_gemma":0.0001900823,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W2136831294","doi":"10.1158/1055-9965.epi-07-2500","title":"Genetic Polymorphisms Involved in Insulin-like Growth Factor (IGF) Pathway in Relation to Mammographic Breast Density and IGF Levels","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University; Université Laval; The Quebec Population Health Research Network; Centre hospitalier universitaire de Québec","funders":"McGill University","keywords":"Single-nucleotide polymorphism; SNP; Endocrinology; Internal medicine; Breast cancer; Insulin-like growth factor; Allele; Biology; Receptor; Growth factor; Medicine; Cancer research; Genetics; Gene; Cancer; Genotype","score_opus":0.05544190232579818,"score_gpt":0.2971258126269332,"score_spread":0.24168391030113504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136831294","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":[0.9884585,0.006470777,0.0009802385,0.002301781,0.0004956897,0.0011334056,0.000033920667,0.0000756172,0.000050079452],"genre_scores_gemma":[0.99435943,0.0018270679,0.0020117857,0.0012887567,0.00012112113,0.00016592072,0.00008161189,0.00004438003,0.0000999107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960329,0.00084444945,0.001264826,0.00092768815,0.00020373131,0.00072641025],"domain_scores_gemma":[0.9983647,0.00037007115,0.00034789156,0.00038665606,0.00013600424,0.00039469494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011258321,0.00041844818,0.0009558142,0.0010107283,0.00012899631,0.0000062012055,0.00014460398,0.00057954947,0.00006314872],"category_scores_gemma":[0.0005855904,0.0004063927,0.00020407925,0.0010080951,0.00030505183,0.00025824716,0.00010142872,0.00048377484,0.000021187736],"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":[0.00095842645,0.00016135737,0.9818707,0.00006945036,0.000121453566,0.000071764014,0.000436602,0.000005782634,0.00874568,0.000054800774,0.0004440381,0.007059953],"study_design_scores_gemma":[0.0027436742,0.00033103494,0.99303895,0.00034564413,0.000052724023,0.00014332609,0.000053336687,0.00019033001,0.0006551071,0.0019511109,0.00012739572,0.00036736875],"about_ca_topic_score_codex":0.002079778,"about_ca_topic_score_gemma":0.0019177863,"teacher_disagreement_score":0.011168256,"about_ca_system_score_codex":0.00045643558,"about_ca_system_score_gemma":0.0003327135,"threshold_uncertainty_score":0.99983877},"labels":[],"label_agreement":null},{"id":"W2137683307","doi":"10.1158/1055-9965.epi-11-1178","title":"Exposure to Nicotine and Carcinogens among Southwestern Alaskan Native Cigarette Smokers and Smokeless Tobacco Users","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":39,"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; Centre for Addiction and Mental Health","funders":"National Institute on Drug Abuse; U.S. Public Health Service","keywords":"Smokeless tobacco; Nicotine; Medicine; Snuff; Environmental health; Chewing tobacco; Snus; Pack-year; Population; Toxicology; Cigarette smoking; Tobacco use; Cancer; Internal medicine; Biology; Pathology","score_opus":0.05841672372834034,"score_gpt":0.3558397368500411,"score_spread":0.2974230131217008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137683307","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":[0.9932898,0.002888779,0.00041309444,0.0018873867,0.00068921375,0.0006790103,0.000021569052,0.00006664829,0.00006447211],"genre_scores_gemma":[0.99786025,0.00026863752,0.00022766445,0.00082715246,0.00023484144,0.00017868496,0.00010837191,0.000032141947,0.00026227842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979607,0.00040287938,0.000471976,0.0004931445,0.00014482159,0.00052649336],"domain_scores_gemma":[0.99876386,0.00022591483,0.00025233038,0.00026290643,0.00009593864,0.00039906625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015082542,0.00026196087,0.0005184962,0.00019855793,0.00013108284,0.000010414339,0.00006571397,0.00031594117,0.00007181445],"category_scores_gemma":[0.00025643627,0.00023958735,0.00010919468,0.00019249861,0.00026737255,0.00022634004,0.000074379255,0.00022311536,0.0000014206792],"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":[0.00019226248,0.000042589923,0.9773228,0.00004330645,0.00028221143,0.0000016638891,0.0010240806,0.0000022071472,0.00081655435,0.000031851112,0.00080649555,0.019433966],"study_design_scores_gemma":[0.0011628,0.00024208146,0.9952794,0.00027620475,0.00056718703,0.000019471214,0.0009117,0.000012218747,0.00095131464,0.00007472943,0.00027456437,0.00022837728],"about_ca_topic_score_codex":0.00056927395,"about_ca_topic_score_gemma":0.00027158283,"teacher_disagreement_score":0.019205589,"about_ca_system_score_codex":0.00020227698,"about_ca_system_score_gemma":0.000047911562,"threshold_uncertainty_score":0.9770088},"labels":[],"label_agreement":null},{"id":"W2137811814","doi":"10.1158/1055-9965.1665.13.10","title":"Dietary Factors and Risk of Non-Hodgkin Lymphoma by Histologic Subtype: A Case-Control Analysis","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":72,"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; Cancer Care Ontario","funders":"","keywords":"Medicine; Lymphoma; Internal medicine; Odds ratio; Logistic regression; Population; Follicular lymphoma; Hodgkin lymphoma; Pathology; Gastroenterology; Oncology; Environmental health","score_opus":0.028159531806976057,"score_gpt":0.3290995845242137,"score_spread":0.3009400527172376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137811814","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":[0.9651844,0.03119042,0.0018090038,0.00086291943,0.00016753994,0.000532992,0.00017638433,0.00003356362,0.000042788866],"genre_scores_gemma":[0.99243754,0.0056375046,0.0012826193,0.0001960355,0.000030510806,0.00014853118,0.00018432636,0.000014277575,0.00006865861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787045,0.0004734595,0.00067370204,0.00055016595,0.000089722875,0.00034249108],"domain_scores_gemma":[0.9981347,0.0006553422,0.00062107045,0.00033481486,0.00006789622,0.00018617882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008573184,0.00027932355,0.001131283,0.00030307026,0.000110500456,0.0000029905357,0.000061390645,0.00028058825,0.00009749077],"category_scores_gemma":[0.00033879653,0.00020346012,0.00053168845,0.00043271034,0.00029034298,0.00006910253,0.000027450067,0.00007048325,0.0000034842221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043412353,0.000385751,0.9548343,0.00004828148,0.009879656,0.00011712582,0.00007778916,0.00005574706,0.00043193597,0.00001807477,0.00095482473,0.0327624],"study_design_scores_gemma":[0.0055962675,0.0006387114,0.9798565,0.00007798478,0.011511815,0.000118403346,0.0000764363,0.00033528,0.0007940018,0.0006477045,0.00018119079,0.00016568443],"about_ca_topic_score_codex":0.011127534,"about_ca_topic_score_gemma":0.00131087,"teacher_disagreement_score":0.03259672,"about_ca_system_score_codex":0.0005322138,"about_ca_system_score_gemma":0.00012958421,"threshold_uncertainty_score":0.9954575},"labels":[],"label_agreement":null},{"id":"W2137955402","doi":"10.1158/1055-9965.epi-05-0127","title":"The Heritability of Mammographically Dense and Nondense Breast Tissue","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Sunnybrook Health Science Centre; Cancer Care Ontario; Robarts Clinical Trials; Women's College Hospital; Ontario Institute for Cancer Research","funders":"","keywords":"Heritability; Biology; Confidence interval; Statistics; Twin study; Demography; Mathematics; Genetics","score_opus":0.015962203939219415,"score_gpt":0.32068028808121346,"score_spread":0.30471808414199403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137955402","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":[0.9725671,0.016072825,0.0010082257,0.008601783,0.0002220557,0.00045867078,0.00002795692,0.000049930273,0.0009914513],"genre_scores_gemma":[0.9977243,0.0005162762,0.0011703144,0.00014080136,0.00009774854,0.00004965368,0.000028401799,0.000011853593,0.00026063842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984095,0.00031743094,0.0005514103,0.0003209496,0.00009268468,0.00030801276],"domain_scores_gemma":[0.99871916,0.0005573444,0.00023366768,0.00027876502,0.00011418833,0.00009685886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015504889,0.00014896995,0.00037478135,0.00009518691,0.000111728434,0.0000085269885,0.00007695828,0.00012316462,0.000024015908],"category_scores_gemma":[0.00016423708,0.00010441267,0.000203965,0.00027413413,0.000977853,0.00009508507,0.00003682813,0.00012267142,0.0000014227145],"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":[0.0005140225,0.00009669874,0.79714584,0.00008250968,0.00020304119,0.000004993376,0.0000069008374,9.3760235e-7,0.0025513405,0.0013954192,0.0016658967,0.19633241],"study_design_scores_gemma":[0.0006165918,0.00014139723,0.9717739,0.00016284426,0.00016668515,0.00026003583,0.000034382727,0.00005435453,0.00025366741,0.023688272,0.002750575,0.000097277065],"about_ca_topic_score_codex":0.00052058796,"about_ca_topic_score_gemma":0.00027004888,"teacher_disagreement_score":0.19623514,"about_ca_system_score_codex":0.0000329349,"about_ca_system_score_gemma":0.00005614695,"threshold_uncertainty_score":0.4257825},"labels":[],"label_agreement":null},{"id":"W2138021907","doi":"10.1158/1055-9965.epi-06-0616","title":"Obesity, High Energy Intake, Lack of Physical Activity, and the Risk of Kidney Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Medicine; Obesity; Kidney cancer; Body mass index; Internal medicine; Cancer; Odds ratio; Quartile; Confidence interval; Population; Endocrinology; Environmental health","score_opus":0.044483284394479065,"score_gpt":0.344083646245868,"score_spread":0.29960036185138894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138021907","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":[0.9867265,0.007165209,0.0008690429,0.004136203,0.00018830702,0.00042519812,0.0000538411,0.000017144612,0.00041854533],"genre_scores_gemma":[0.9958239,0.0025880202,0.00032878199,0.00020776868,0.00021131341,0.00016608366,0.00004496464,0.00001679489,0.0006123628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779165,0.00104084,0.0004344679,0.00035611546,0.00013476153,0.00024215919],"domain_scores_gemma":[0.9979531,0.0007822657,0.0007148017,0.0003279718,0.00010272314,0.000119113625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091147795,0.00020240973,0.0008850271,0.00008837501,0.00005465749,0.0000017833719,0.000090025664,0.00014984967,0.000058744343],"category_scores_gemma":[0.0003246325,0.00012830827,0.00032017496,0.00016653656,0.00081923336,0.00005370425,0.00008420061,0.0001351869,0.0000010520799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030591195,0.0005983012,0.9310293,0.00029442448,0.0017286451,0.000004122516,0.00006356691,0.000070687,0.012664192,0.009224266,0.0087380875,0.03252528],"study_design_scores_gemma":[0.004006136,0.0003201645,0.92562,0.00029717668,0.0014576191,0.0000082555025,0.000011978765,0.0007847279,0.035679314,0.031325113,0.00037450358,0.0001149647],"about_ca_topic_score_codex":0.0364363,"about_ca_topic_score_gemma":0.00093086355,"teacher_disagreement_score":0.035505436,"about_ca_system_score_codex":0.000163466,"about_ca_system_score_gemma":0.000194951,"threshold_uncertainty_score":0.9699802},"labels":[],"label_agreement":null},{"id":"W2138427434","doi":"10.1158/1055-9965.epi-10-0521","title":"Hemoglobin and Aerobic Fitness Changes with Supervised Exercise Training in Breast Cancer Patients Receiving Chemotherapy","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":62,"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; University of Ottawa; University of British Columbia; Camosun College","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Aerobic exercise; Breast cancer; Chemotherapy; Internal medicine; Exercise prescription; Cancer; Hemoglobin; Oncology; Physical therapy","score_opus":0.027385053024232754,"score_gpt":0.31428717885718854,"score_spread":0.28690212583295577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138427434","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":[0.9843843,0.003235937,0.000057452075,0.010368608,0.0009876864,0.0007868626,0.000028923829,0.00006057674,0.00008967837],"genre_scores_gemma":[0.99357796,0.003641329,0.00047211687,0.0010881749,0.00022144066,0.0006255368,0.00009693692,0.000046948862,0.00022953936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817115,0.0002046458,0.00035938766,0.0006261061,0.00012480804,0.0005139274],"domain_scores_gemma":[0.99904025,0.00015221199,0.00021883196,0.0002711951,0.0001252064,0.00019231401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009521292,0.00028804358,0.00069679413,0.000194108,0.00008321,0.000009688099,0.000105094994,0.00030238373,0.00038200768],"category_scores_gemma":[0.00005384488,0.00024173642,0.00008596106,0.00033172453,0.00024872646,0.00013297932,0.000032929696,0.0003621533,0.0000014113668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009818133,0.000056728946,0.6993908,0.00014816971,0.00010009937,0.000003013059,0.0011339044,0.0000018339078,0.001983532,0.000010139664,0.00038873783,0.2958012],"study_design_scores_gemma":[0.00432502,0.00017095557,0.9908335,0.0016983459,0.00014888337,0.000025368776,0.0006121404,0.00018866066,0.00046660943,0.00020784992,0.0010076192,0.00031504658],"about_ca_topic_score_codex":0.0023941635,"about_ca_topic_score_gemma":0.041620497,"teacher_disagreement_score":0.29548615,"about_ca_system_score_codex":0.00017752974,"about_ca_system_score_gemma":0.00021893652,"threshold_uncertainty_score":0.9857725},"labels":[],"label_agreement":null},{"id":"W2138507089","doi":"10.1158/1055-9965.epi-07-2713","title":"Vitamin D Receptor Expression in Normal, Premalignant, and Malignant Human Lung Tissue","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","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":"Immunovaccine (Canada); University Health Network","funders":"National Cancer Institute","keywords":"Calcitriol receptor; Carcinogenesis; Calcitriol; Pathology; Immunohistochemistry; Vitamin D and neurology; Lung cancer; Adenocarcinoma; Lung; Medicine; Cancer; Cancer research; Biology; Internal medicine","score_opus":0.06424993620425082,"score_gpt":0.39821693044010054,"score_spread":0.33396699423584975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138507089","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":[0.96873236,0.02596888,0.0005618576,0.0027654804,0.00029730087,0.0011690534,0.000012801484,0.00007191208,0.00042036295],"genre_scores_gemma":[0.9779819,0.012992822,0.0036902507,0.00023304281,0.00021268635,0.0005859901,0.00010534593,0.00003687796,0.004161052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679226,0.00089468906,0.0007625364,0.00069511065,0.0001863414,0.0006690635],"domain_scores_gemma":[0.9987073,0.00037198694,0.00025739157,0.0003521858,0.000094929186,0.00021619025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019664746,0.0002741766,0.0007637873,0.00031343393,0.00028302046,0.000003904443,0.00012374979,0.00029021982,0.00028013927],"category_scores_gemma":[0.00076051755,0.00022448563,0.00011043563,0.00025646627,0.00060107786,0.0001797343,0.00019299361,0.00029095943,0.000016620008],"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":[0.0002159731,0.00014311845,0.7324887,0.00034427806,0.00017472157,0.00007180961,0.00030818817,0.0000025032225,0.21926802,0.000036492507,0.04205573,0.0048904424],"study_design_scores_gemma":[0.0024078174,0.00047810603,0.96169335,0.0019090101,0.000078088575,0.00010196291,0.00015792588,0.00011571599,0.028717248,0.00033137112,0.0037366063,0.00027280327],"about_ca_topic_score_codex":0.0002785039,"about_ca_topic_score_gemma":0.00016625613,"teacher_disagreement_score":0.22920462,"about_ca_system_score_codex":0.00029806313,"about_ca_system_score_gemma":0.000114207316,"threshold_uncertainty_score":0.91542584},"labels":[],"label_agreement":null},{"id":"W2138617710","doi":"10.1158/1055-9965.epi-10-0992","title":"A Case Study Addressing the Reliability of Polychlorinated Biphenyl Levels Measured at the Time of Breast Cancer Diagnosis in Representing Early-Life Exposure","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","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":"Institut National de la Recherche Scientifique; Université de Montréal; Ontario Tech University; Université du Québec à Montréal","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Breast cancer; Cmax; Polychlorinated biphenyl; Toxicokinetics; Medicine; Pharmacokinetics; Reliability (semiconductor); Physiology; Environmental science; Oncology; Cancer; Internal medicine; Environmental chemistry; Chemistry","score_opus":0.14829817926589986,"score_gpt":0.35573534138777646,"score_spread":0.2074371621218766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138617710","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":[0.9960638,0.0012612113,0.0000352988,0.0010438511,0.0002545052,0.001055967,0.00017554793,0.000025334566,0.000084454],"genre_scores_gemma":[0.9992817,0.00007110816,0.000097168486,0.00007992505,0.00003122545,0.00027375974,8.710223e-7,0.00002380067,0.00014041088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945172,0.003031628,0.0010580202,0.00061649317,0.00026419718,0.00051243353],"domain_scores_gemma":[0.9970122,0.0009237232,0.0010514174,0.0008804726,0.00001759316,0.00011457393],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0066772862,0.00024912105,0.00058170344,0.00006535208,0.000206439,0.0000045421816,0.00048197867,0.00017715018,0.0041829753],"category_scores_gemma":[0.0015288856,0.0001564839,0.00018384375,0.0006390045,0.0009789242,0.00024131975,0.00041453313,0.00024188143,0.0000110740175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003022945,0.0002528838,0.96805674,0.000011790698,0.00019555922,0.000026579199,0.0028184075,0.000064274886,0.005231899,4.3947173e-7,0.00037860236,0.022660509],"study_design_scores_gemma":[0.0007433962,0.0001127128,0.9946629,0.00012097863,0.0001588486,0.000089234534,0.00079566916,0.00020483258,0.0027235164,0.00022613879,0.000008939715,0.0001528635],"about_ca_topic_score_codex":0.035025503,"about_ca_topic_score_gemma":0.008807288,"teacher_disagreement_score":0.026606109,"about_ca_system_score_codex":0.000554648,"about_ca_system_score_gemma":0.000092556445,"threshold_uncertainty_score":0.99672735},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2138733479","doi":"10.1158/1055-9965.epi-11-0775","title":"Pathology of Breast and Ovarian Cancers among <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers: Results from the Consortium of Investigators of Modifiers of <i>BRCA1</i> / <i>2</i> (CIMBA)","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":668,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute for Health and Care Research; Canadian Institutes of Health Research; National Cancer Institute; Cancer Research UK; National Institutes of Health; ZonMw","keywords":"Medicine; Ovarian cancer; Mutation; Oncology; Gynecology; Internal medicine; Breast cancer; Pathology; Biology; Genetics; Cancer; Gene","score_opus":0.02657724511671087,"score_gpt":0.29835753896161715,"score_spread":0.27178029384490626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138733479","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":[0.97244185,0.023304999,0.0013535715,0.00061579375,0.000555443,0.0004958052,0.0011015206,0.0000074462723,0.00012355552],"genre_scores_gemma":[0.9941346,0.002517383,0.0024855426,0.00025594776,0.0001282002,0.00008164748,0.00034609047,0.000027942826,0.0000226586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966418,0.0009937382,0.0013172941,0.0005399219,0.00014210209,0.000365102],"domain_scores_gemma":[0.99672127,0.0005122174,0.0017853371,0.0005706537,0.00025979918,0.00015074981],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021907012,0.00026917268,0.00067749206,0.00009454116,0.0000718519,0.0000026838625,0.000238235,0.00043257896,0.000009881892],"category_scores_gemma":[0.0008273613,0.00023756044,0.00016993072,0.0002415178,0.002772525,0.000035274013,0.00014507935,0.00014694317,1.3839815e-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":[0.0013689504,0.0000786674,0.6229827,0.00020385372,0.0014214988,7.338268e-7,0.001570742,0.0005889321,0.3587164,0.00043342632,0.0039639063,0.00867023],"study_design_scores_gemma":[0.003962922,0.00046567596,0.69843876,0.00042321128,0.00078867207,0.000043720043,0.0019171237,0.00030246723,0.28959462,0.0024725255,0.0011486972,0.00044159536],"about_ca_topic_score_codex":0.0027160093,"about_ca_topic_score_gemma":0.00069456396,"teacher_disagreement_score":0.07545612,"about_ca_system_score_codex":0.00008506695,"about_ca_system_score_gemma":0.0004281897,"threshold_uncertainty_score":0.99994135},"labels":[],"label_agreement":null},{"id":"W2138902352","doi":"10.1158/1055-9965.epi-14-1145","title":"A Pooled Analysis of Cigarette Smoking and Risk of Multiple Myeloma from the International Multiple Myeloma Consortium","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Saskatchewan; Saskatchewan Health; Saskatchewan Health Authority; Public Health Ontario; University of British Columbia; BC Cancer Agency","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; National Center for Advancing Translational Sciences; World Health Organization","keywords":"Medicine; Multiple myeloma; Confounding; Odds ratio; Confidence interval; Internal medicine; Logistic regression; Risk factor; Population; Cigarette smoking; Demography; Oncology; Environmental health","score_opus":0.04168250592237924,"score_gpt":0.3478018087358764,"score_spread":0.3061193028134972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138902352","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":[0.98897594,0.0038763424,0.0042222943,0.0016779806,0.00025369567,0.00053202733,0.0003426468,0.000025543175,0.00009355631],"genre_scores_gemma":[0.99572796,0.0013375912,0.001822068,0.00020418622,0.00010389664,0.000112149995,0.00059609005,0.000016816808,0.00007923952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968941,0.0011193407,0.0008671234,0.00051316037,0.00027573347,0.00033054812],"domain_scores_gemma":[0.99364585,0.0046257004,0.0008583307,0.00049085007,0.00022615565,0.00015312212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023106511,0.00021468716,0.0008909815,0.00029549032,0.00010426266,0.000006162443,0.00021524979,0.00020502665,0.0002442232],"category_scores_gemma":[0.0056883073,0.00015210087,0.00043925593,0.00037353908,0.00047736472,0.00007726941,0.00013000831,0.00021847866,0.0000017204316],"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":[0.0012627961,0.00010164186,0.8962064,0.000026414686,0.025621444,0.0000023852147,0.00010814935,0.00005222025,0.0036655662,0.000036794405,0.0004654928,0.07245074],"study_design_scores_gemma":[0.003504888,0.00015067411,0.93436235,0.00018274008,0.0062719253,0.000002193174,0.00009571897,0.051942877,0.0024326642,0.0004826105,0.00046529187,0.00010605516],"about_ca_topic_score_codex":0.005231894,"about_ca_topic_score_gemma":0.0030667116,"teacher_disagreement_score":0.07234468,"about_ca_system_score_codex":0.00011500939,"about_ca_system_score_gemma":0.000083379666,"threshold_uncertainty_score":0.79090935},"labels":[],"label_agreement":null},{"id":"W2138947752","doi":"10.1158/1055-9965.epi-08-1012","title":"Persistence of an Incident Human Papillomavirus Infection and Timing of Cervical Lesions in Previously Unexposed Young Women","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":53,"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 Manitoba; McGill University","funders":"","keywords":"Medicine; Cervical intraepithelial neoplasia; Odds ratio; Confidence interval; HPV infection; Persistence (discontinuity); Papillomaviridae; Human papillomavirus; Relative risk; Internal medicine; Intraepithelial neoplasia; Gynecology; Gastroenterology; Cervical cancer; Cancer","score_opus":0.12622930115772144,"score_gpt":0.4328572098445575,"score_spread":0.3066279086868361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138947752","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":[0.99486065,0.0031993387,0.00016442641,0.0005484091,0.00006833335,0.0005455684,0.0000038900957,0.000020234738,0.00058916927],"genre_scores_gemma":[0.9975963,0.0015819343,0.00042246954,0.00015266731,0.000054908276,0.00007335375,0.000032219723,0.000009650819,0.00007648554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773556,0.0005759342,0.0007592216,0.00038527205,0.00016153003,0.00038248033],"domain_scores_gemma":[0.9989635,0.00016177037,0.00027996732,0.00025298377,0.00013842303,0.00020339245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021369765,0.00014478459,0.0006425572,0.000269414,0.0000683889,0.000003037367,0.00008699358,0.00020823476,0.00043138667],"category_scores_gemma":[0.00037987053,0.00013276027,0.00012312741,0.00030971906,0.00025515628,0.00013361133,0.000047509784,0.00022425131,7.9483647e-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":[0.0011659858,0.00036383423,0.7475354,0.0004008468,0.00011075423,0.0000062005383,0.0008568529,0.000017324506,0.024746364,0.00019020082,0.000064696054,0.22454152],"study_design_scores_gemma":[0.001639465,0.0016638729,0.9906842,0.00026801557,0.00007637747,0.000013373224,0.00021038686,0.00057194044,0.0011425592,0.0035870469,0.000037650152,0.00010508877],"about_ca_topic_score_codex":0.0019220234,"about_ca_topic_score_gemma":0.0016744831,"teacher_disagreement_score":0.2431488,"about_ca_system_score_codex":0.00039926544,"about_ca_system_score_gemma":0.00013604977,"threshold_uncertainty_score":0.54138064},"labels":[],"label_agreement":null},{"id":"W2139527397","doi":"10.1158/1055-9965.2208.13.12","title":"Longitudinal Associations of Age, Anthropometric and Lifestyle Factors with Serum Total Insulin-Like Growth Factor-I and IGF Binding Protein-3 Levels in Black and White Men: the CARDIA Male Hormone Study","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","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":"inVentiv Health Clinical","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Waist; Body mass index; Internal medicine; Medicine; Endocrinology; Anthropometry; Insulin-like growth factor; Longitudinal study; Demography; Growth factor","score_opus":0.060508208734435624,"score_gpt":0.33227953632062424,"score_spread":0.2717713275861886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139527397","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":[0.9933077,0.0034979165,0.00012507198,0.00087034394,0.00010095151,0.0018932024,0.00010172193,0.000030550145,0.000072529736],"genre_scores_gemma":[0.99844396,0.0008183145,0.00037147128,0.00003212135,0.000048601425,0.00010050253,0.000041616895,0.000032180218,0.00011124637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726975,0.0005439071,0.0008050741,0.0006522671,0.00023440945,0.0004945995],"domain_scores_gemma":[0.9984704,0.00041146486,0.00053043483,0.00025521425,0.00013140733,0.00020103634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001308928,0.00036864998,0.00096144056,0.0005452901,0.00021543844,0.000019683623,0.00009047114,0.00026562525,0.000014594849],"category_scores_gemma":[0.00060145016,0.0002586985,0.000100698235,0.00094595825,0.0006841928,0.00029108935,0.000101030266,0.00039000838,9.946185e-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":[0.00026929902,0.00031725652,0.995067,0.00009170536,0.0007380953,0.00001724111,0.0013735727,0.000006872014,0.001545436,0.000039716328,0.00005861441,0.0004751674],"study_design_scores_gemma":[0.004130369,0.002093164,0.99023795,0.00018644123,0.0003502553,0.00003141027,0.0020577246,0.000015821179,0.00035292393,0.00028496128,0.0000049507044,0.00025401017],"about_ca_topic_score_codex":0.0018452154,"about_ca_topic_score_gemma":0.00048740552,"teacher_disagreement_score":0.0051362333,"about_ca_system_score_codex":0.00027943266,"about_ca_system_score_gemma":0.00017418643,"threshold_uncertainty_score":0.9999865},"labels":[],"label_agreement":null},{"id":"W2140237025","doi":"10.1158/1055-9965.epi-05-0470","title":"Estrogen and Progesterone Levels in Nipple Aspirate Fluid of Healthy Premenopausal Women: Relationship to Steroid Precursors and Response Proteins","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Implant and Reconstruction","field":"Medicine","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":"inVentiv Health Clinical","funders":"National Cancer Institute; National Institutes of Health; National Center for Research Resources; Breast Cancer Research Foundation","keywords":"Endocrinology; Internal medicine; Estrogen; Saliva; Estrone; Chemistry; Hormone; Menstrual cycle; Medicine; Breast cancer; Dehydroepiandrosterone; Androgen; Cancer","score_opus":0.060637584905612725,"score_gpt":0.3537377082708724,"score_spread":0.2931001233652597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140237025","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":[0.99100256,0.0035702174,0.00044286245,0.003049615,0.0001481707,0.0017059542,0.000034277644,0.000029126259,0.000017229395],"genre_scores_gemma":[0.9950046,0.000039885996,0.004026637,0.000094519324,0.00006927516,0.0004742083,0.000036300735,0.000016428268,0.00023815027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748963,0.0009188154,0.0007351065,0.00040882127,0.00007987902,0.00036772425],"domain_scores_gemma":[0.9990527,0.00028584534,0.00028939205,0.00016466068,0.00005335005,0.00015407271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026355796,0.00017137252,0.00048807907,0.0002883749,0.00006394261,0.000004506613,0.000040333765,0.00021801991,0.00001968859],"category_scores_gemma":[0.00018239486,0.00015689473,0.000033326927,0.00021731523,0.00019887884,0.00011977174,0.000036164423,0.00014616415,0.0000019777317],"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":[0.0077079856,0.00009294076,0.9374841,0.00025275067,0.000083476494,0.0000029632522,0.00025220367,0.000011140396,0.016866395,0.00019605926,0.0001496636,0.03690034],"study_design_scores_gemma":[0.0021404386,0.0014482329,0.9911655,0.00044446235,0.000053664447,0.0006745332,0.00009997031,0.00006721874,0.0012995849,0.0022853885,0.0001861509,0.00013480958],"about_ca_topic_score_codex":0.00029422337,"about_ca_topic_score_gemma":0.00031961605,"teacher_disagreement_score":0.053681467,"about_ca_system_score_codex":0.00024661148,"about_ca_system_score_gemma":0.00019157052,"threshold_uncertainty_score":0.63979816},"labels":[],"label_agreement":null},{"id":"W2140627026","doi":"10.1158/1055-9965.epi-08-0805","title":"Is There a Difference in the Association between Percent Mammographic Density and Subtypes of Breast Cancer? Luminal A and Triple-Negative Breast Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":90,"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 Cancer Institute","keywords":"Breast cancer; Medicine; Oncology; Cancer; Estrogen receptor; Progesterone receptor; Internal medicine; Case-control study; Triple-negative breast cancer; Population; Gynecology","score_opus":0.02659757607344916,"score_gpt":0.3266927019763297,"score_spread":0.30009512590288057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140627026","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":[0.96973324,0.007501985,0.000054990946,0.02179144,0.00009654,0.0005183745,0.00022471714,0.00001745407,0.00006123278],"genre_scores_gemma":[0.9934978,0.005368074,0.00007541967,0.0007621818,0.00013568465,0.00007114861,0.000022113773,0.00000826564,0.000059350354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980754,0.00051486783,0.00046825685,0.00042211346,0.00016447934,0.00035485346],"domain_scores_gemma":[0.99876094,0.0004170772,0.00043327463,0.00016116498,0.0001254463,0.00010209507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012453524,0.00021788765,0.00060739415,0.00021328269,0.000089088106,0.000013518315,0.000095948744,0.00017592103,0.000027392589],"category_scores_gemma":[0.0000862405,0.00015678284,0.00017064463,0.0004626762,0.00029375328,0.00015855761,0.000024320527,0.00024379461,2.4697835e-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":[0.0005029147,0.00007904902,0.86770165,0.00008500228,0.00038729902,0.000002529452,0.00039624984,2.6533027e-7,0.00029084441,0.00004437385,0.00025358517,0.13025624],"study_design_scores_gemma":[0.0013065038,0.00013460642,0.9927582,0.00087937637,0.00050155196,0.000075827855,0.0002853592,0.000074779615,0.00006251139,0.0037599267,0.000018000905,0.00014335346],"about_ca_topic_score_codex":0.0032770156,"about_ca_topic_score_gemma":0.0009791881,"teacher_disagreement_score":0.13011289,"about_ca_system_score_codex":0.000184319,"about_ca_system_score_gemma":0.0001016439,"threshold_uncertainty_score":0.6393419},"labels":[],"label_agreement":null},{"id":"W2140641165","doi":"10.1158/1055-9965.epi-05-0142","title":"Estrogen Bioactivation, Genetic Polymorphisms, and Ovarian Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Ovarian cancer; Estrogen; Cancer research; Medicine; Internal medicine; Biology; Genetics; Oncology; Cancer","score_opus":0.018854977070463703,"score_gpt":0.3178307602564143,"score_spread":0.29897578318595064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140641165","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":[0.8662388,0.12345033,0.003798782,0.0054674195,0.0004242368,0.00042769176,0.000020883752,0.00003870971,0.00013317377],"genre_scores_gemma":[0.9725272,0.016441135,0.007163074,0.001234183,0.0009401675,0.00031164932,0.0002101347,0.000047727226,0.0011247142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814886,0.00039523578,0.00040593813,0.00058077165,0.00006357217,0.00040562684],"domain_scores_gemma":[0.99920785,0.000050107847,0.0002448794,0.00028024454,0.000055461445,0.00016144066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050723366,0.00023916514,0.0002680814,0.00008012567,0.00014745386,0.000008921682,0.00013645046,0.0004341032,0.00009216487],"category_scores_gemma":[0.00010745913,0.00022244053,0.0001346213,0.00011325316,0.00022141739,0.000012710724,0.00007944042,0.0001341174,0.000012623372],"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":[0.00051156245,0.00011766841,0.35449982,0.000039408795,0.0015282666,0.0000035003586,0.000051331084,0.00048276936,0.3466685,0.0006142369,0.017346125,0.2781368],"study_design_scores_gemma":[0.004627878,0.00090571423,0.6212907,0.0002902521,0.000744323,0.00016194778,0.000060971888,0.0024624208,0.18728466,0.0030297276,0.17767684,0.0014645708],"about_ca_topic_score_codex":0.00024818658,"about_ca_topic_score_gemma":0.000085754255,"teacher_disagreement_score":0.2766722,"about_ca_system_score_codex":0.00006688876,"about_ca_system_score_gemma":0.00013229581,"threshold_uncertainty_score":0.9070862},"labels":[],"label_agreement":null},{"id":"W2140772333","doi":"10.1158/1055-9965.epi-06-0882","title":"Clinical and Biological Activity of Soy Protein Powder Supplementation in Healthy Male Volunteers","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Phytoestrogen effects and research","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute; Quest Diagnostics","keywords":"Soy protein; Testosterone (patch); Internal medicine; Endocrinology; Estrogen receptor; In vivo; Medicine; Estrogen; Agonist; In vitro; Chemistry; Receptor; Biology; Food science; Cancer; Biochemistry; Biotechnology; Breast cancer","score_opus":0.1279146583860302,"score_gpt":0.49592638884072326,"score_spread":0.36801173045469304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140772333","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":[0.9915687,0.00198822,0.0017809542,0.0031560005,0.00016012581,0.0012277984,0.000008846456,0.000013293247,0.000096082855],"genre_scores_gemma":[0.99649924,0.00079066213,0.002119168,0.00022188465,0.00010374902,0.000086490836,0.000043267573,0.000008601223,0.00012692426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721724,0.0011550152,0.0007110561,0.00040095957,0.00009631375,0.0004194117],"domain_scores_gemma":[0.9988167,0.0005851762,0.00022084572,0.0001537955,0.000058208057,0.00016524641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008238627,0.00012263942,0.0005317097,0.00016819686,0.00004055963,0.0000014030379,0.00005366171,0.00028457193,0.00016529688],"category_scores_gemma":[0.0006676505,0.000094084906,0.00013289583,0.00018224095,0.00049871806,0.00006249639,0.000047627458,0.00028794265,0.0000027966848],"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":[0.0048064766,0.0002778656,0.90252286,0.00014721046,0.00012250202,0.000009101697,0.000019663934,6.532607e-7,0.02014619,0.00010118395,0.00040368203,0.07144263],"study_design_scores_gemma":[0.0026885131,0.001824544,0.9914312,0.00020210395,0.000029007342,0.000015071513,0.000059455484,0.00020786363,0.0024566483,0.00071115256,0.0002934198,0.00008106333],"about_ca_topic_score_codex":0.0006450934,"about_ca_topic_score_gemma":0.0005186318,"teacher_disagreement_score":0.08890831,"about_ca_system_score_codex":0.0001127472,"about_ca_system_score_gemma":0.00014740885,"threshold_uncertainty_score":0.3836671},"labels":[],"label_agreement":null},{"id":"W2141239229","doi":"10.1158/1055-9965.epi-05-0801","title":"Role of Polymorphic Human Cytochrome P450 Enzymes in Estrone Oxidation","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Estrogen and related hormone effects","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":"Dalhousie University; University of Prince Edward Island","funders":"","keywords":"Estrone; CYP1A2; Cytochrome P450; Enzyme; Estrogen; CYP1B1; Hydroxylation; Chemistry; Biochemistry; Aromatase; Population; Breast cancer; Microsome; Biology; Cancer; Endocrinology; Hormone; Medicine; Genetics","score_opus":0.012567751622171327,"score_gpt":0.30997476281132846,"score_spread":0.29740701118915713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141239229","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":[0.9621233,0.036422394,0.0005063302,0.00019805702,0.00008114922,0.00030810243,0.0000073329097,0.000015121513,0.00033824847],"genre_scores_gemma":[0.9978295,0.0004442463,0.00049578556,0.00003812309,0.00016677982,0.000095129966,0.00056044036,0.000019385558,0.0003506294],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981811,0.00048643048,0.0005567465,0.000395796,0.000061660634,0.00031825367],"domain_scores_gemma":[0.9992799,0.000044422046,0.00033579388,0.00025362324,0.000039457078,0.000046809946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007704528,0.00017631639,0.0003126323,0.00012879616,0.000055004988,0.0000027473016,0.00013775744,0.00040478708,0.00003543507],"category_scores_gemma":[0.00006986887,0.00017325116,0.00015959093,0.0001432047,0.00017875385,0.00000911395,0.000052278087,0.000116350355,0.0000051561506],"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":[0.0001256298,0.00009508796,0.083052434,0.000020108931,0.00011227551,9.788992e-7,0.0000059659606,0.00018885455,0.91233546,0.0010213422,0.0008377155,0.0022041597],"study_design_scores_gemma":[0.0010488122,0.00035797156,0.51447433,0.00010455914,0.00006238019,0.000008837228,0.000024092391,0.00012057797,0.47730237,0.005583205,0.00069533853,0.00021753722],"about_ca_topic_score_codex":0.00080705143,"about_ca_topic_score_gemma":0.00030866358,"teacher_disagreement_score":0.43503308,"about_ca_system_score_codex":0.000052417996,"about_ca_system_score_gemma":0.00006871011,"threshold_uncertainty_score":0.7064977},"labels":[],"label_agreement":null},{"id":"W2141262449","doi":"10.1158/1055-9965.epi-07-2803","title":"A 22-year Prospective Study of Fish,<i>n</i>-3 Fatty Acid Intake, and Colorectal Cancer Risk in Men","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":169,"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":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Colorectal cancer; Medicine; Quartile; Relative risk; Aspirin; Cancer; Internal medicine; Confidence interval; Prospective cohort study; Lower risk; Fish oil; Red meat; Gastroenterology; Physiology; Fish <Actinopterygii>; Biology; Pathology","score_opus":0.04843562887507044,"score_gpt":0.3732472923289309,"score_spread":0.3248116634538605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141262449","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":[0.99173987,0.0037031244,0.00008860496,0.0017326107,0.0004206901,0.0019802942,0.000069971364,0.000041086205,0.00022373686],"genre_scores_gemma":[0.994639,0.0035426938,0.0007449502,0.00017344058,0.00010437121,0.0007217803,0.000022656595,0.000024304076,0.000026799413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995681,0.0021008963,0.00076837017,0.0006470053,0.00018021243,0.00062254135],"domain_scores_gemma":[0.99853975,0.0004647776,0.00048381265,0.00022410421,0.000112405345,0.00017516775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022908137,0.00022700516,0.0007111771,0.0002602013,0.00023844102,0.000004353766,0.00016941318,0.00023427418,0.00012748344],"category_scores_gemma":[0.00072138256,0.00020754793,0.00008920131,0.00042180077,0.00048173522,0.00018433471,0.00009320846,0.0004899956,0.000003897401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040436173,0.0004407666,0.97412664,0.000088338566,0.00024926785,0.000008740039,0.0019300863,0.00002379066,0.0030781783,0.00001208666,0.007485634,0.00851286],"study_design_scores_gemma":[0.004083374,0.0016804165,0.9845449,0.00015483459,0.00006556794,0.000009242397,0.001136733,0.00033693502,0.0062734396,0.0014505236,0.00008049012,0.00018357628],"about_ca_topic_score_codex":0.014420112,"about_ca_topic_score_gemma":0.02374989,"teacher_disagreement_score":0.0104182325,"about_ca_system_score_codex":0.0005403662,"about_ca_system_score_gemma":0.00017091993,"threshold_uncertainty_score":0.99406415},"labels":[],"label_agreement":null},{"id":"W2142835045","doi":"10.1158/1055-9965.epi-12-1110","title":"Catenin Family Genes Are Not Commonly Mutated in Hereditary Diffuse Gastric Cancer","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Wnt/β-catenin signaling in development and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"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; University of British Columbia; BC Cancer Agency","funders":"","keywords":"CDH1; Nonsynonymous substitution; Genetics; Germline mutation; Mutation; Gene; Biology; Cancer; Germline; Cancer research; Cadherin; Genome; Cell","score_opus":0.0567142126655125,"score_gpt":0.3356989084774761,"score_spread":0.27898469581196356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142835045","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":[0.91412425,0.081482016,0.00078881945,0.0011239204,0.0018853898,0.00040369522,0.00005756341,0.000041422627,0.00009289714],"genre_scores_gemma":[0.9857343,0.00842636,0.0012889191,0.0013736825,0.0008702509,0.0007043011,0.00055059785,0.00005638074,0.0009952192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681187,0.00072587444,0.0007671972,0.00064626697,0.00013540055,0.0009133714],"domain_scores_gemma":[0.9987903,0.00009836996,0.0004657489,0.00033342862,0.00010553019,0.00020659408],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014746557,0.00038350857,0.0005319348,0.00017176945,0.00011941825,0.000008710748,0.00033129213,0.00048674308,0.00013430629],"category_scores_gemma":[0.0001501105,0.00036929094,0.00020827269,0.00031461674,0.0002259925,0.000028462095,0.0001551693,0.00022273533,0.000021180136],"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":[0.00051395805,0.00018220335,0.82031804,0.000051073326,0.00041622127,0.0000057441634,0.000062765146,0.00017791786,0.13113098,0.000010329519,0.029435774,0.017695012],"study_design_scores_gemma":[0.002159201,0.00012116196,0.93685955,0.00024790587,0.00013650102,0.00002059211,0.0001924526,0.00013750927,0.04205691,0.00023101569,0.017157512,0.00067967613],"about_ca_topic_score_codex":0.0009718724,"about_ca_topic_score_gemma":0.00088553404,"teacher_disagreement_score":0.11654154,"about_ca_system_score_codex":0.00022236422,"about_ca_system_score_gemma":0.00021711191,"threshold_uncertainty_score":0.9998759},"labels":[],"label_agreement":null},{"id":"W2142853150","doi":"10.1158/1055-9965.epi-09-0548","title":"Randomized Controlled Trial of a Psychosocial Telephone Counseling Intervention in<i>BRCA</i>1 and<i>BRCA</i>2 Mutation Carriers","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Women's College Hospital","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"Psychosocial; Medicine; Anxiety; Distress; Genetic counseling; Telephone counseling; Randomized controlled trial; Psychological intervention; Genetic testing; BRCA mutation; Intervention (counseling); Clinical psychology; Psychiatry; Cancer; Oncology; Internal medicine; Ovarian cancer; Genetics","score_opus":0.01564760325688277,"score_gpt":0.34699480158132034,"score_spread":0.3313471983244376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142853150","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":[0.9766641,0.008110259,0.00748176,0.0009941227,0.003405027,0.0031369308,0.000017479884,0.000019254807,0.00017104777],"genre_scores_gemma":[0.9918975,0.002198443,0.0027199795,0.00019292187,0.0004829856,0.00211149,0.00019039107,0.000030319608,0.00017594405],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9957674,0.0016704102,0.0014877565,0.0006063269,0.00013522174,0.0003328685],"domain_scores_gemma":[0.9978714,0.00047807576,0.0010549544,0.0003094311,0.00020202392,0.00008410328],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0066798246,0.0002612281,0.0011750131,0.0002043924,0.00008469793,0.000009981745,0.00016990716,0.00052317494,0.00006511278],"category_scores_gemma":[0.0025205035,0.00024687866,0.00056936214,0.00019061485,0.0006080854,0.000019036293,0.000047964386,0.00025846314,0.0000015035196],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.89400685,0.00022086059,0.00364614,0.0000756052,0.001318714,0.0000012542678,0.00032456766,0.0001394562,0.07449442,0.0003123388,0.0013658461,0.02409396],"study_design_scores_gemma":[0.9825437,0.0003842332,0.001421558,0.00012017133,0.0003548298,0.000009720036,0.0002005908,0.0010323944,0.005175302,0.0071705845,0.0012786315,0.00030824856],"about_ca_topic_score_codex":0.00030922444,"about_ca_topic_score_gemma":0.0016715792,"teacher_disagreement_score":0.0885369,"about_ca_system_score_codex":0.000085170446,"about_ca_system_score_gemma":0.0002757317,"threshold_uncertainty_score":0.99999833},"labels":[],"label_agreement":null},{"id":"W2142883554","doi":"10.1158/1055-9965.epi-15-0085","title":"Colorectal Cancer Risk Following Adenoma Removal: A Large Prospective Population-Based Cohort Study","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":41,"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 Diabetes and Digestive and Kidney Diseases; Medical Research Council; Public Health Agency; Queen's University Belfast; Queen's University; National Cancer Institute; Cancer Research UK","keywords":"Medicine; Colorectal cancer; Polypectomy; Colonoscopy; Adenoma; Colorectal adenoma; Population; Cancer registry; Cancer; Internal medicine; Prospective cohort study; Incidence (geometry); Cohort study; Oncology","score_opus":0.042879665419184136,"score_gpt":0.37474207756173195,"score_spread":0.3318624121425478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142883554","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":[0.98360246,0.0061662314,0.0034349246,0.0006671186,0.0021775635,0.0032516052,0.000036226924,0.00034522303,0.00031861666],"genre_scores_gemma":[0.9950083,0.00007730902,0.001438584,0.00024369541,0.00046179292,0.0021736633,0.00015079265,0.000055667304,0.0003902344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99588245,0.0013364475,0.0008147811,0.0009873398,0.0003616053,0.0006173466],"domain_scores_gemma":[0.9979961,0.00037098056,0.0006331807,0.00037912503,0.00027240042,0.0003482175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00434328,0.0003610259,0.00095182133,0.00027867543,0.00028635075,0.000014850272,0.00012566255,0.00032639081,0.000117848074],"category_scores_gemma":[0.0017517131,0.00033630143,0.00045105864,0.0006304248,0.00007261935,0.00017142741,0.000059936934,0.0004340514,0.000016555592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006867278,0.00032924258,0.9826721,0.000026140913,0.0013544764,0.000030960004,0.00022598768,0.00024391337,0.000063387706,0.00000947094,0.0012245983,0.0069524366],"study_design_scores_gemma":[0.005708425,0.0028334528,0.981919,0.00022484586,0.0013020653,0.000021794725,0.00034508042,0.00589892,0.00014226063,0.00075388333,0.00052464206,0.00032562896],"about_ca_topic_score_codex":0.013931506,"about_ca_topic_score_gemma":0.009327502,"teacher_disagreement_score":0.011405771,"about_ca_system_score_codex":0.0019635446,"about_ca_system_score_gemma":0.00060558214,"threshold_uncertainty_score":0.9999089},"labels":[],"label_agreement":null},{"id":"W2142886113","doi":"10.1158/1055-9965.epi-08-1237","title":"Aberrant Methylation of <i>RASSF1A</i> in Plasma DNA Before Breast Cancer Diagnosis in the Breast Cancer Family Registry","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","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":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Cancer Care Ontario; Mount Sinai Hospital","funders":"National Cancer Institute; National Institutes of Health; International Breast Cancer Research Foundation; National Institute of Environmental Health Sciences; Avon Foundation for Women","keywords":"DNA methylation; Breast cancer; Methylation; CpG site; Cancer; Carcinogenesis; Cancer research; Biology; Epigenetics; Population; Oncology; Internal medicine; Gene; Molecular biology; Medicine; Genetics; Gene expression","score_opus":0.0276351256534746,"score_gpt":0.3375415962076472,"score_spread":0.3099064705541726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142886113","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":[0.96670413,0.023272805,0.0004484902,0.008146497,0.00039941794,0.00058029965,0.00029690063,0.000009846184,0.00014159924],"genre_scores_gemma":[0.9808393,0.016996548,0.00028337722,0.0006128706,0.00026126413,0.0006774418,0.00024269626,0.000020985855,0.00006551268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968447,0.000976878,0.0009151819,0.0006351866,0.0001619106,0.00046610922],"domain_scores_gemma":[0.99859023,0.0001397614,0.00061509083,0.0004569275,0.00012651879,0.00007145538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021063574,0.00028900796,0.0004789989,0.00015695323,0.0000704,0.000009005304,0.0003341205,0.00046760123,0.000044762768],"category_scores_gemma":[0.00013037935,0.00023815286,0.00021474158,0.00039999664,0.00017468895,0.000022339362,0.000045544355,0.00021679091,0.0000010431506],"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":[0.00042498423,0.00017785346,0.7747025,0.000048149108,0.00012058548,0.000002046789,0.00013242665,0.0011599665,0.09879562,0.000074558266,0.0021810145,0.12218033],"study_design_scores_gemma":[0.0010792832,0.00015606974,0.9828582,0.00028257715,0.0000783593,0.000006454865,0.000097892305,0.00041567447,0.010185448,0.0033985206,0.0011977481,0.00024379048],"about_ca_topic_score_codex":0.0028580567,"about_ca_topic_score_gemma":0.008381566,"teacher_disagreement_score":0.20815572,"about_ca_system_score_codex":0.00016250924,"about_ca_system_score_gemma":0.0002099098,"threshold_uncertainty_score":0.9711592},"labels":[],"label_agreement":null},{"id":"W2143144742","doi":"10.1158/1055-9965.epi-13-0962","title":"Variation in NF-κB Signaling Pathways and Survival in Invasive Epithelial Ovarian Cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","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":"National Cancer Institute; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Cancer Research UK","keywords":"Variation (astronomy); Ovarian cancer; Epithelial ovarian cancer; Biology; Signal transduction; NF-κB; Cancer research; Cancer; Oncology; Medicine; Genetics","score_opus":0.05528018342729558,"score_gpt":0.33888847527260535,"score_spread":0.2836082918453098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143144742","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":[0.97970474,0.0061101047,0.0020473672,0.009638174,0.0011125985,0.0009975431,0.000034849116,0.00004178074,0.0003128507],"genre_scores_gemma":[0.99233836,0.0037147957,0.0019219521,0.00079476816,0.00035962026,0.0007150962,0.00006976028,0.000027658869,0.000057971167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692416,0.0010390623,0.0007645005,0.000693941,0.00011807853,0.00046028005],"domain_scores_gemma":[0.99826175,0.0009505442,0.0003318488,0.00024677912,0.000063597094,0.00014550272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027183802,0.00025772088,0.0007577203,0.00028009003,0.00006414141,0.000009155745,0.000074076685,0.00029769287,0.00020915519],"category_scores_gemma":[0.00065343955,0.00023717979,0.00011856415,0.00029135565,0.00010855325,0.00013423132,0.000045026958,0.00022484286,0.0000071208865],"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":[0.0005335779,0.0001997556,0.9357083,0.00013837041,0.00029276643,0.0000162497,0.00037831758,0.0002113388,0.006624432,0.0021729772,0.00014305465,0.053580884],"study_design_scores_gemma":[0.005304137,0.00026029043,0.97865254,0.0010367503,0.00019175344,0.000005714023,0.00006201671,0.001270491,0.0010391333,0.011452505,0.0005054673,0.00021923472],"about_ca_topic_score_codex":0.006225739,"about_ca_topic_score_gemma":0.00873294,"teacher_disagreement_score":0.05336165,"about_ca_system_score_codex":0.00066473713,"about_ca_system_score_gemma":0.00031136547,"threshold_uncertainty_score":0.96719116},"labels":[],"label_agreement":null},{"id":"W2143201275","doi":"10.1158/1055-9965.epi-07-0182","title":"Prediagnostic Plasma C-Peptide and Pancreatic Cancer Risk in Men and Women","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":109,"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; Jewish General Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Lustgarten Foundation","keywords":"Pancreatic cancer; Medicine; Internal medicine; Hyperinsulinemia; Quartile; Body mass index; Cancer; Endocrinology; C-peptide; Insulin; Prospective cohort study; Population; Diabetes mellitus; Insulin resistance; Gastroenterology; Oncology; Confidence interval; Environmental health","score_opus":0.04131035371551964,"score_gpt":0.39448478833905953,"score_spread":0.3531744346235399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143201275","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":[0.978401,0.016695786,0.00046516082,0.0015975152,0.00013642883,0.00095971976,0.000016592136,0.00003499616,0.0016928103],"genre_scores_gemma":[0.9572919,0.03739243,0.002174577,0.00033881376,0.00017053889,0.00069353817,0.000023722221,0.000023503038,0.00189097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972299,0.0006552372,0.00069054816,0.00054196676,0.000116396746,0.0007659515],"domain_scores_gemma":[0.99594975,0.0031562613,0.00026277814,0.0002186929,0.000058172867,0.0003543458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054247472,0.00021650773,0.0008930106,0.00027284122,0.00010450742,0.0000047908447,0.00006901533,0.00032239646,0.00024994818],"category_scores_gemma":[0.002437828,0.0001854664,0.00005609663,0.00021787055,0.0005308606,0.00009063452,0.00007520133,0.00035089548,0.000007241163],"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":[0.0013786268,0.000075555065,0.95707685,0.00017236156,0.00049259013,0.000032390206,0.00053713785,0.0000027991894,0.0002524381,0.00006185017,0.0022189966,0.037698396],"study_design_scores_gemma":[0.003385573,0.00046430185,0.9870631,0.0004992359,0.00036426075,0.000041820444,0.0005838335,0.0019967179,0.000042546086,0.0045649046,0.00083640346,0.00015727598],"about_ca_topic_score_codex":0.0025439514,"about_ca_topic_score_gemma":0.0017005388,"teacher_disagreement_score":0.03754112,"about_ca_system_score_codex":0.00055200694,"about_ca_system_score_gemma":0.00024063251,"threshold_uncertainty_score":0.75631005},"labels":[],"label_agreement":null},{"id":"W2143527016","doi":"10.1158/1055-9965.epi-06-0680","title":"Associations between Exercise and Quality of Life in Bladder Cancer Survivors: A Population-Based Study","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":95,"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":"Medicine; Bladder cancer; Quality of life (healthcare); Population; Internal medicine; Confidence interval; Cancer; Physical therapy; Sexual function; Cancer survivor; Gerontology","score_opus":0.1074824157581445,"score_gpt":0.42750360325413916,"score_spread":0.3200211874959947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143527016","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":[0.98802716,0.008465473,0.00059661263,0.0011528061,0.00042935114,0.0010933501,0.00011510933,0.000039311202,0.00008085416],"genre_scores_gemma":[0.9985476,0.00027940286,0.00015748854,0.00027566528,0.00014979676,0.00016598954,0.00026712014,0.00002096934,0.00013597714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969801,0.0005538717,0.0014038548,0.00047916683,0.00020537304,0.000377681],"domain_scores_gemma":[0.9973158,0.001325248,0.00071235554,0.0002883576,0.0001702088,0.0001880037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064297784,0.00020178832,0.0010743646,0.00030567267,0.000069011636,0.0000036854715,0.00008124705,0.0002745044,0.00014750102],"category_scores_gemma":[0.0009605207,0.00019784039,0.00017601866,0.0004964206,0.00008812843,0.000085959626,0.00003271365,0.00020847926,0.0000010145333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005236948,0.00020657878,0.97422665,0.00011724687,0.00033985527,8.330138e-7,0.00038554764,0.000016385544,0.000040977906,0.00003093537,0.00011507574,0.023996215],"study_design_scores_gemma":[0.0020760202,0.00013087632,0.9958684,0.0003177858,0.0003158932,7.310253e-8,0.0005593948,0.000030684147,0.000037091206,0.0004416423,0.000051015428,0.00017111821],"about_ca_topic_score_codex":0.17676267,"about_ca_topic_score_gemma":0.3745895,"teacher_disagreement_score":0.19782683,"about_ca_system_score_codex":0.0004042649,"about_ca_system_score_gemma":0.00026633564,"threshold_uncertainty_score":0.8287193},"labels":[],"label_agreement":null},{"id":"W2143737902","doi":"10.1158/1055-9965.epi-08-0698","title":"Genetic Polymorphisms of<i>CYP2E1</i>and Risk of Colorectal Cancer: The Fukuoka Colorectal Cancer Study","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Diet and metabolism studies","field":"Medicine","cited_by":42,"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":"","keywords":"Colorectal cancer; Medicine; Oncology; Internal medicine; Cancer; Genetics; Biology","score_opus":0.02890561679933807,"score_gpt":0.3446223409479631,"score_spread":0.31571672414862506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143737902","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":[0.8883664,0.10668308,0.0000662697,0.0022622822,0.0009937026,0.0013732488,0.000067820365,0.00003084796,0.00015632529],"genre_scores_gemma":[0.9496714,0.04871594,0.00045511156,0.00022912567,0.00027565207,0.00043415983,0.00000857921,0.000019623194,0.00019044479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970538,0.0008525156,0.00093638967,0.00051202957,0.00019377147,0.00045151106],"domain_scores_gemma":[0.99805105,0.0004785555,0.00088427117,0.0002641497,0.00019537883,0.00012660539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016063292,0.0003064947,0.0011923554,0.00014017691,0.00016607028,0.0000032778714,0.0001712724,0.00018609111,0.00011241398],"category_scores_gemma":[0.00042250447,0.0002101823,0.00029721393,0.00034222237,0.00066270045,0.00006068881,0.00008020878,0.00024231477,0.0000014426886],"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":[0.0015422754,0.00029565586,0.8851577,0.000051216135,0.002092791,0.000002826046,0.0008913754,0.000026537384,0.009843665,0.000052583073,0.0025044084,0.09753894],"study_design_scores_gemma":[0.002328586,0.0012431599,0.9892087,0.0002112519,0.0026852242,0.0000057480324,0.00045926706,0.00012027101,0.001920496,0.0009319649,0.0007045588,0.00018076731],"about_ca_topic_score_codex":0.00490025,"about_ca_topic_score_gemma":0.002469976,"teacher_disagreement_score":0.10405098,"about_ca_system_score_codex":0.00010764084,"about_ca_system_score_gemma":0.00025359768,"threshold_uncertainty_score":0.8570986},"labels":[],"label_agreement":null},{"id":"W2143809906","doi":"10.1158/1055-9965.epi-12-0312","title":"An Ounce of Breast Cancer Prevention—Let's Try for a Pound","year":2012,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Fluid ounce (US); Pound (networking); Medicine; Breast cancer; Art; Cancer; Internal medicine; Computer science; Political science; Law; World Wide Web","score_opus":0.08969938095495703,"score_gpt":0.42231531231776565,"score_spread":0.33261593136280865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143809906","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03494534,0.10297045,0.017716877,0.8155006,0.012980082,0.008981885,0.006083257,0.00037015788,0.00045135544],"genre_scores_gemma":[0.15516303,0.034668434,0.0153497355,0.64292425,0.06779946,0.017682595,0.025791468,0.0012927423,0.039328314],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950286,0.0008186328,0.0015907895,0.0011426674,0.000308513,0.0011108005],"domain_scores_gemma":[0.9958388,0.00056215114,0.0018867952,0.00097530097,0.00045692097,0.00028001211],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019931996,0.00070473616,0.0020627484,0.00037361437,0.00014310327,0.000011722176,0.0003661002,0.0020516387,0.0015733206],"category_scores_gemma":[0.00017023658,0.000633837,0.0012099796,0.00027730683,0.0004985022,0.00030692862,0.00005953305,0.0010747154,0.00001204039],"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":[0.0013759914,0.00024218993,0.07945815,0.0018665777,0.0023987489,0.0000067484393,0.00007616469,0.000007815808,0.00089655333,0.00003785372,0.8620828,0.05155042],"study_design_scores_gemma":[0.0035076556,0.0008253841,0.20094591,0.0030845767,0.004273018,0.000113971226,0.000056997495,0.00016203034,0.00014857115,0.0035164484,0.7824576,0.0009078284],"about_ca_topic_score_codex":0.0026252363,"about_ca_topic_score_gemma":0.00058111985,"teacher_disagreement_score":0.17257637,"about_ca_system_score_codex":0.00095987704,"about_ca_system_score_gemma":0.0011204421,"threshold_uncertainty_score":0.9996113},"labels":[],"label_agreement":null},{"id":"W2144119531","doi":"10.1158/1055-9965.epi-13-0173","title":"Primary hrHPV DNA Testing in Cervical Cancer Screening: How to Manage Screen-Positive Women? A POBASCAM Trial Substudy","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","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":"BC Cancer Agency","funders":"Vrije Universiteit Amsterdam","keywords":"Medicine; Triage; Cytology; Confidence interval; Cervical intraepithelial neoplasia; Genotyping; Cervical cancer; Population; Gynecology; Clinical endpoint; Internal medicine; Cancer; Obstetrics; Randomized controlled trial; Genotype; Pathology","score_opus":0.10943827825393138,"score_gpt":0.3994269692899648,"score_spread":0.2899886910360334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144119531","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":[0.95210093,0.004327756,0.0023119524,0.031042267,0.00060450035,0.0062448536,0.000047331694,0.0001504119,0.0031700144],"genre_scores_gemma":[0.9797539,0.00037740244,0.0041499846,0.0058276183,0.0009930476,0.0065559037,0.0001521717,0.00008093024,0.0021090342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99457985,0.0013002924,0.0009850657,0.001200747,0.00044792308,0.0014861473],"domain_scores_gemma":[0.9965918,0.0013520933,0.00029762366,0.00054452784,0.0004249115,0.00078903046],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003285999,0.00044294883,0.0013069793,0.00055983133,0.00017249065,0.000041422376,0.00034782354,0.00040977824,0.0035495982],"category_scores_gemma":[0.0018155111,0.00039780288,0.00029158767,0.0013050564,0.0002755721,0.00030112485,0.00031494713,0.0006865502,0.000069307316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.031491622,0.00054102537,0.50718176,0.0003257313,0.0008239798,0.000041838863,0.0003949954,0.00003142284,0.0014819425,0.000052798056,0.010293718,0.44733918],"study_design_scores_gemma":[0.022549307,0.0016152416,0.971323,0.00039111913,0.00014150099,0.00000829386,0.00033849568,0.0007671507,0.000109770954,0.0011079009,0.0012537097,0.00039451095],"about_ca_topic_score_codex":0.008293903,"about_ca_topic_score_gemma":0.0024860562,"teacher_disagreement_score":0.46414125,"about_ca_system_score_codex":0.0017939808,"about_ca_system_score_gemma":0.00036987185,"threshold_uncertainty_score":0.9998474},"labels":[],"label_agreement":null},{"id":"W2144330713","doi":"10.1158/1055-9965.epi-07-2615","title":"Meta-analysis of Colorectal Cancer Gene Expression Profiling Studies Identifies Consistently Reported Candidate Biomarkers","year":2008,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":160,"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; Canada's Michael Smith Genome Sciences Centre","funders":"Canadian Institutes of Health Research; BC Cancer Foundation; Michael Smith Health Research BC","keywords":"Colorectal cancer; False positive paradox; Gene expression profiling; Adenoma; Cancer; Gene; False discovery rate; Biology; Candidate gene; Thyroid cancer; Gene expression; Medicine; Bioinformatics; Oncology; Genetics","score_opus":0.37463821603709035,"score_gpt":0.48489856585663954,"score_spread":0.11026034981954919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144330713","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":[0.0052316273,0.987306,0.00013208836,0.00022053174,0.0024037282,0.0037616,0.0007559782,0.00012975336,0.00005869954],"genre_scores_gemma":[0.0008172244,0.9861265,0.0048282584,0.000114557864,0.00016221941,0.0050302763,0.0019187479,0.00014057431,0.0008616753],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9878552,0.0031542336,0.0050728074,0.0022582654,0.0006511403,0.0010083445],"domain_scores_gemma":[0.98856026,0.0023667733,0.0064176954,0.0013240303,0.0009772179,0.0003540386],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0031854871,0.001383756,0.014588762,0.0018216416,0.00027289,0.00001238447,0.00047099634,0.0013483696,0.00095960987],"category_scores_gemma":[0.0020360812,0.0010216279,0.009219646,0.002476428,0.0015529857,0.00013436422,0.00036326688,0.0006732511,0.000009361494],"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":[0.00064551784,0.00015908945,0.00673457,0.010110292,0.9323973,0.00008838165,0.00013371784,0.00006636277,0.0019263306,0.000003459892,0.007894092,0.039840896],"study_design_scores_gemma":[0.00087029353,0.00032358733,0.0011806573,0.0056550526,0.9496548,0.00019862878,0.00012676588,0.00007295443,0.0050324677,0.00011791757,0.035697658,0.0010692254],"about_ca_topic_score_codex":0.00087984913,"about_ca_topic_score_gemma":0.0008204812,"teacher_disagreement_score":0.03877167,"about_ca_system_score_codex":0.0015305643,"about_ca_system_score_gemma":0.0020823826,"threshold_uncertainty_score":0.9999536},"labels":[],"label_agreement":null},{"id":"W2145019492","doi":"10.1158/1055-9965.epi-14-1303","title":"Lifetime Physical Activity and the Risk of Non-Hodgkin Lymphoma","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","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":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Quartile; Medicine; Confidence interval; Odds ratio; Intensity (physics); Physical activity; Logistic regression; Lower risk; Hodgkin lymphoma; Internal medicine; Demography; Lymphoma; Physical therapy","score_opus":0.07167731222377866,"score_gpt":0.40549845749607444,"score_spread":0.3338211452722958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145019492","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":[0.98733664,0.0012148963,0.0024296453,0.007845148,0.0001807785,0.00051418314,0.000012742746,0.000023307497,0.00044268026],"genre_scores_gemma":[0.99800265,0.0007117184,0.00046288426,0.00027085934,0.00030045645,0.00008040354,0.000008069789,0.000010411353,0.00015256932],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99783224,0.0012579457,0.0002505632,0.0002958129,0.00010956587,0.00025386942],"domain_scores_gemma":[0.997781,0.0012806753,0.00040181415,0.00026350011,0.00007413395,0.00019888434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023972616,0.00014185067,0.0007973021,0.00004364264,0.00007533936,0.0000019952238,0.00007307665,0.00013170854,0.000008786615],"category_scores_gemma":[0.0009894053,0.0000892656,0.0002128035,0.00013765143,0.0007415782,0.000099130426,0.000064073705,0.00017778715,0.000008720862],"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":[0.019235928,0.0026413088,0.28501487,0.00040900832,0.0020861349,0.000003894042,0.0011635789,0.000031080108,0.005074505,0.0027723468,0.011963548,0.6696038],"study_design_scores_gemma":[0.007502632,0.00081302907,0.935231,0.00018838687,0.0006221128,0.0000107029555,0.00006402148,0.015221338,0.0015153089,0.03784165,0.0008593022,0.00013053369],"about_ca_topic_score_codex":0.0018374772,"about_ca_topic_score_gemma":0.00007060583,"teacher_disagreement_score":0.6694733,"about_ca_system_score_codex":0.00011599368,"about_ca_system_score_gemma":0.0002470998,"threshold_uncertainty_score":0.36401457},"labels":[],"label_agreement":null},{"id":"W2145657085","doi":"10.1158/1055-9965.epi-08-0317","title":"Multiple Novel Prostate Cancer Predisposition Loci Confirmed by an International Study: The PRACTICAL Consortium","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":162,"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 Health Centre","funders":"National Cancer Institute; Cancer Research UK; Royal Marsden NHS Foundation Trust","keywords":"Single-nucleotide polymorphism; Prostate cancer; Odds ratio; Genotyping; Confidence interval; SNP; Allele; Oncology; Genotype; Cancer; Population; Biology; Internal medicine; Genetics; Medicine; Gene","score_opus":0.05899522587081107,"score_gpt":0.38411168389100186,"score_spread":0.3251164580201908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145657085","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":[0.9745891,0.002008759,0.012662967,0.008235902,0.0010343778,0.0011176829,0.00022274342,0.00003351548,0.00009491533],"genre_scores_gemma":[0.9899569,0.0028272057,0.0017395802,0.0013820402,0.00045323887,0.0010762335,0.0015032095,0.000029419121,0.001032133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966115,0.0012786457,0.0007351421,0.0007532416,0.00013769798,0.00048379257],"domain_scores_gemma":[0.9982871,0.00029023594,0.00059927,0.00044308853,0.0002407135,0.00013962758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001898399,0.00025878637,0.0003625007,0.00004759332,0.00036805484,0.00001050126,0.00030066186,0.00033998798,0.00011442186],"category_scores_gemma":[0.0012735801,0.00020872071,0.00016021731,0.000101879865,0.0004589167,0.00002806039,0.000118728996,0.00021507345,0.000007969116],"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":[0.0004883351,0.00051154837,0.9206652,0.000004980058,0.0008949123,0.00000176674,0.00015520219,0.0003236582,0.027397728,0.000029827703,0.04728572,0.0022410962],"study_design_scores_gemma":[0.0022387926,0.00062987424,0.95840454,0.000015195681,0.00017259704,0.000042625365,0.0004380291,0.0026130646,0.0011235224,0.00019609381,0.033805624,0.00032006658],"about_ca_topic_score_codex":0.00088845653,"about_ca_topic_score_gemma":0.0009725849,"teacher_disagreement_score":0.03773929,"about_ca_system_score_codex":0.00011493718,"about_ca_system_score_gemma":0.00027053742,"threshold_uncertainty_score":0.85113835},"labels":[],"label_agreement":null},{"id":"W2145782607","doi":"10.1158/1055-9965.epi-12-1036","title":"Variation in Genes Related to Obesity, Weight, and Weight Change and Risk of Contralateral Breast Cancer in the WECARE Study Population","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Cancer Institute; National Institute on Aging","keywords":"Breast cancer; Obesity; Variation (astronomy); Medicine; Population; Oncology; Cancer; Biology; Internal medicine; Environmental health; Physics","score_opus":0.04585276487321754,"score_gpt":0.36319234807451345,"score_spread":0.3173395832012959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145782607","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":[0.9815672,0.01441385,0.000025442992,0.0020369024,0.00039459468,0.0014856864,0.000057660858,0.0000109161865,0.00000773333],"genre_scores_gemma":[0.9931284,0.0061324793,0.0000618592,0.00014036568,0.0001457767,0.00032536982,0.000034603105,0.000011544843,0.000019579415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978757,0.00091329386,0.000546528,0.0002899138,0.000091057154,0.00028353694],"domain_scores_gemma":[0.9992535,0.00017240693,0.0002853421,0.00016142966,0.00004086022,0.000086425236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020337608,0.00015543969,0.00046214048,0.00021107128,0.0000511703,0.0000036759984,0.0000500943,0.00016613567,0.00006725882],"category_scores_gemma":[0.00006187847,0.0001113135,0.000052777017,0.00027673625,0.000055258843,0.00019380164,0.000035998648,0.00015989505,6.28739e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040424173,0.00016182683,0.9629777,0.000047312118,0.00017557364,0.0000010961999,0.002979491,0.0000071238974,0.00015412673,0.000045981786,0.00004276964,0.033002775],"study_design_scores_gemma":[0.0017779584,0.00015252098,0.99636817,0.00022364329,0.0002922223,0.000010797093,0.00024364186,0.00029682062,0.000006356012,0.0004574076,0.00006215223,0.000108324806],"about_ca_topic_score_codex":0.03504061,"about_ca_topic_score_gemma":0.012241,"teacher_disagreement_score":0.033390474,"about_ca_system_score_codex":0.00019150619,"about_ca_system_score_gemma":0.000023319088,"threshold_uncertainty_score":0.9713851},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2146030548","doi":"10.1158/1055-9965.epi-08-0512","title":"Molecular Characterization of MSI-H Colorectal Cancer by <i>MLHI</i> Promoter Methylation, Immunohistochemistry, and Mismatch Repair Germline Mutation Screening","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":228,"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; Cancer Care Ontario; inVentiv Health Clinical","funders":"National Cancer Institute; National Institutes of Health; University of Southern California; Mayo Clinic","keywords":"MLH1; Microsatellite instability; Lynch syndrome; Germline mutation; Methylation; Germline; Population; Biology; DNA mismatch repair; Cancer research; Genetics; DNA methylation; Colorectal cancer; Mutation; Cancer; Medicine; Gene; Microsatellite; Gene expression; Allele","score_opus":0.029213760783673604,"score_gpt":0.3432903410707662,"score_spread":0.3140765802870926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146030548","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":[0.9721036,0.012117462,0.012738817,0.001488988,0.00034936733,0.0009752003,0.000070626855,0.00009778847,0.00005817599],"genre_scores_gemma":[0.9895709,0.0023315526,0.005955065,0.0003561843,0.0001060773,0.00048347848,0.0007642953,0.000047104062,0.00038532083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99752486,0.0003826522,0.00092220196,0.0006197479,0.00020797511,0.00034253852],"domain_scores_gemma":[0.99838024,0.0001560762,0.00074145396,0.00026097978,0.00032270595,0.00013853681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008264462,0.00028826445,0.0006702417,0.000117408206,0.00012414301,0.0000032888304,0.00008936612,0.00036498794,0.00019388388],"category_scores_gemma":[0.00037466973,0.00029054767,0.00021809663,0.0002756258,0.00042690156,0.00012099373,0.000053642038,0.00020617661,0.0000012189589],"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":[0.00071891135,0.00007145201,0.11819323,0.00021808819,0.00047650564,0.0000066309726,0.00018302228,0.000024284816,0.86903113,0.0000037528903,0.0013521172,0.009720896],"study_design_scores_gemma":[0.002096951,0.0004906184,0.35287398,0.00050597347,0.00046776983,0.0001280346,0.000031409072,0.0031221062,0.6387239,0.00021295053,0.0009794128,0.00036689732],"about_ca_topic_score_codex":0.00034820847,"about_ca_topic_score_gemma":0.000013729679,"teacher_disagreement_score":0.23468076,"about_ca_system_score_codex":0.00027008448,"about_ca_system_score_gemma":0.00022863064,"threshold_uncertainty_score":0.99995464},"labels":[],"label_agreement":null},{"id":"W2146308509","doi":"10.1158/1055-9965.epi-09-0956","title":"Utility and Relationships of Biomarkers of Smoking in African-American Light Smokers","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":36,"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; Centre for Addiction and Mental Health","funders":"National Institutes of Health; National Cancer Institute; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; Environmental health; Internal medicine","score_opus":0.09027184782534498,"score_gpt":0.3866418356639947,"score_spread":0.2963699878386497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146308509","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":[0.9924892,0.0019763322,0.0008267291,0.0033674673,0.0001464003,0.00040066458,0.0000077250115,0.000027117774,0.00075835094],"genre_scores_gemma":[0.9984844,0.00041270038,0.0008843355,0.00009026733,0.000022746737,0.000023912678,0.000043541553,0.0000094312,0.00002867189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997673,0.00069526176,0.00086919405,0.0003721964,0.00013379617,0.00025655038],"domain_scores_gemma":[0.9984641,0.0003990855,0.0006759446,0.00027998153,0.00008983688,0.000091043505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025045676,0.00015818239,0.0006317447,0.00035872354,0.000048095804,0.000001684705,0.00007201404,0.00020159762,0.000045299985],"category_scores_gemma":[0.00078212784,0.00015120121,0.00014032122,0.0005882424,0.0003846577,0.00009818865,0.000018623292,0.00021901823,1.6712322e-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":[0.00048136493,0.0001157923,0.93716526,0.00005785293,0.00014107785,0.0000018212738,0.00021404517,0.000003041607,0.002714171,0.000310034,0.00022770617,0.05856784],"study_design_scores_gemma":[0.0009839052,0.00028309028,0.99158233,0.00039289688,0.0002681468,0.000008692584,0.0005157461,0.0001400654,0.0019151688,0.003687811,0.00011096448,0.00011119275],"about_ca_topic_score_codex":0.00071553973,"about_ca_topic_score_gemma":0.00011650717,"teacher_disagreement_score":0.05845665,"about_ca_system_score_codex":0.00013471558,"about_ca_system_score_gemma":0.00010763763,"threshold_uncertainty_score":0.6165806},"labels":[],"label_agreement":null},{"id":"W2146659056","doi":"10.1158/1055-9965.epi-11-0434","title":"Common Polymorphisms in the Adiponectin and Its Receptor Genes, Adiponectin Levels and the Risk of Prostate Cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","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":"Jewish General Hospital","funders":"National Cancer Institute","keywords":"Adiponectin; Prostate cancer; Adiponectin receptor 1; Single-nucleotide polymorphism; Internal medicine; Endocrinology; Adipokine; Medicine; SNP; Prostate; Cancer; Genotype; Case-control study; Oncology; Insulin resistance; Insulin; Biology; Gene; Genetics","score_opus":0.05981584913474092,"score_gpt":0.33276435694953427,"score_spread":0.27294850781479335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146659056","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":[0.8528274,0.14279832,0.000048816553,0.0025502834,0.00029999253,0.001225192,0.00006960298,0.000019555182,0.00016080566],"genre_scores_gemma":[0.97125214,0.026715545,0.00030832182,0.0005779981,0.00015240604,0.0005872865,0.000031837182,0.000018960529,0.00035552034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966272,0.00189426,0.0007123658,0.00035279393,0.00010958041,0.00030380255],"domain_scores_gemma":[0.998101,0.0007896949,0.00063157215,0.00028396354,0.000095217445,0.00009856196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038543185,0.00021077933,0.0006327688,0.0001244976,0.00013661718,0.0000041097583,0.00012707963,0.00014856647,0.00018577726],"category_scores_gemma":[0.00087277306,0.00012182369,0.0001289221,0.00024666436,0.0005133804,0.00011495181,0.000044556524,0.00019499654,0.0000022934446],"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":[0.0025784557,0.00008318476,0.91530687,0.00012586887,0.00062878727,0.000002038652,0.002353786,0.0000046059467,0.0010245008,0.0013133915,0.0008315314,0.07574697],"study_design_scores_gemma":[0.0032136452,0.000110481444,0.98731524,0.00028546827,0.00095223467,0.000021231595,0.00027964273,0.00025285583,0.0011551972,0.0037694727,0.0025102452,0.00013426792],"about_ca_topic_score_codex":0.005088482,"about_ca_topic_score_gemma":0.0016240209,"teacher_disagreement_score":0.1184247,"about_ca_system_score_codex":0.000045963323,"about_ca_system_score_gemma":0.00013994641,"threshold_uncertainty_score":0.76922965},"labels":[],"label_agreement":null},{"id":"W2146827819","doi":"10.1158/1055-9965.epi-07-2832","title":"No Association between hOGG1, XRCC1, and XPD Polymorphisms and Risk of Reflux Esophagitis, Barrett's Esophagus, or Esophageal Adenocarcinoma: Results from the Factors Influencing the Barrett's Adenocarcinoma Relationship Case-Control Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","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":"Queen's University","funders":"","keywords":"Barrett's esophagus; Esophagus; Gastroenterology; Internal medicine; Odds ratio; Reflux esophagitis; Adenocarcinoma; Esophagitis; XRCC1; Population; Medicine; Esophageal cancer; Cancer; Reflux; Single-nucleotide polymorphism; Biology; Genotype; Genetics; Gene; Disease","score_opus":0.06815723744993998,"score_gpt":0.3415480139476949,"score_spread":0.2733907764977549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146827819","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":[0.7975211,0.19709028,0.00006381865,0.0018387391,0.00023392751,0.0021903852,0.0009962432,0.000054076183,0.000011429402],"genre_scores_gemma":[0.99589956,0.0021036083,0.0002544919,0.00019445184,0.00050694816,0.0002843575,0.00020959869,0.0000493998,0.00049761403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991991,0.00426947,0.001467337,0.0010190306,0.0005143122,0.0007388905],"domain_scores_gemma":[0.9851221,0.012080989,0.0013265029,0.0008013312,0.00029006603,0.00037905612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004672454,0.0005077721,0.001151729,0.0001840532,0.0010545606,0.00002827418,0.0002561172,0.0004398403,0.00010271247],"category_scores_gemma":[0.006743918,0.00030295237,0.00027624992,0.0004348561,0.00067122455,0.00030559435,0.00014827953,0.00088068406,0.0000091373795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023019197,0.00010219838,0.9889392,0.000032674383,0.0033419165,0.00047371982,0.0017078994,0.0000049407145,0.000004795713,0.000012645909,0.0012935611,0.0017845079],"study_design_scores_gemma":[0.00838305,0.0015179287,0.9853016,0.0001423164,0.002819591,0.00020759535,0.00075399014,0.000105229155,0.000074311254,0.00047236143,0.000008503791,0.00021350593],"about_ca_topic_score_codex":0.016407466,"about_ca_topic_score_gemma":0.0020758251,"teacher_disagreement_score":0.19837844,"about_ca_system_score_codex":0.0007425926,"about_ca_system_score_gemma":0.00046504155,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W2146869122","doi":"10.1158/1055-9965.epi-07-0705","title":"Differences in Baseline Characteristics and Outcomes at 1- and 2-Year Follow-up of Cancer Survivors Accrued via Self-Referral versus Cancer Registry in the FRESH START Diet and Exercise Trial","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Center for Research Resources; National Cancer Institute; National Institutes of Health; University of Chicago","keywords":"Referral; Cancer; Baseline (sea); Medicine; Physical therapy; Cancer registry; Cancer survivor; Randomized controlled trial; Gerontology; Family medicine; Internal medicine","score_opus":0.07835493067431401,"score_gpt":0.35411036177500227,"score_spread":0.27575543110068823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146869122","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":[0.97677857,0.018378928,0.000014811172,0.0021696256,0.0015451894,0.0009316803,0.00013775469,0.000020880152,0.000022550084],"genre_scores_gemma":[0.95327985,0.045473054,0.00007036818,0.00023019218,0.00014584689,0.00048073314,0.00008367235,0.00001948113,0.00021681323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973265,0.0007597665,0.0007881665,0.0005550564,0.00018109438,0.00038939636],"domain_scores_gemma":[0.99815553,0.0009160868,0.00042429182,0.00029898254,0.00007791755,0.000127189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015704074,0.0002956076,0.0010801065,0.0001573325,0.000101510894,0.000006437327,0.00011952843,0.00029348885,0.00010942436],"category_scores_gemma":[0.0003875682,0.00021780576,0.000120188204,0.00022758123,0.0004344892,0.00010237671,0.000093275165,0.00026996137,3.208367e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04332376,0.000080482765,0.9473769,0.00023554568,0.00023773078,0.00001043969,0.001336478,3.205728e-7,0.00010063209,0.000008463732,0.0005917952,0.0066974415],"study_design_scores_gemma":[0.023006393,0.00045508763,0.97419065,0.0004406974,0.0003477036,0.0000046312152,0.0005929935,0.0001507172,0.00003580555,0.00009890034,0.0004633295,0.00021310456],"about_ca_topic_score_codex":0.03502088,"about_ca_topic_score_gemma":0.21677998,"teacher_disagreement_score":0.1817591,"about_ca_system_score_codex":0.00021301536,"about_ca_system_score_gemma":0.00017891375,"threshold_uncertainty_score":0.971405},"labels":[],"label_agreement":null},{"id":"W2146934602","doi":"10.1158/1055-9965.epi-04-0661","title":"A Prospective Study of C-Peptide, Insulin-like Growth Factor-I, Insulin-like Growth Factor Binding Protein-1, and the Risk of Colorectal Cancer in Women","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":227,"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; Jewish General Hospital","funders":"National Cancer Institute","keywords":"Hyperinsulinemia; Medicine; Internal medicine; Colorectal cancer; Quartile; Insulin; Endocrinology; Risk factor; Insulin-like growth factor; Cancer; C-peptide; Case-control study; Prospective cohort study; Oncology; Gastroenterology; Insulin resistance; Confidence interval; Growth factor; Receptor","score_opus":0.02281571402036995,"score_gpt":0.30582433884704274,"score_spread":0.28300862482667277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146934602","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":[0.9849495,0.007862964,0.00006527923,0.0008016655,0.00046638586,0.00548546,0.0001983984,0.000071353716,0.00009897535],"genre_scores_gemma":[0.9913673,0.005579461,0.00044760478,0.00017577484,0.00016068843,0.0020090726,0.000024626737,0.00007029716,0.00016517435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930915,0.002228468,0.002219019,0.001087473,0.00043438096,0.00093914504],"domain_scores_gemma":[0.9957209,0.0011661452,0.0018633821,0.0004727514,0.00047914364,0.00029765104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030621924,0.0006557379,0.0020987208,0.00069283973,0.00020235896,0.000012144772,0.00035828486,0.0005157026,0.0001399061],"category_scores_gemma":[0.001938221,0.0004749048,0.00035622052,0.0011035628,0.0009890127,0.0004047686,0.0002256645,0.0008821955,0.000005187467],"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":[0.0102046495,0.0010824016,0.9622379,0.00030468038,0.0021531442,0.000005664579,0.0074415957,0.000012067048,0.007990204,0.0001347014,0.00020042146,0.008232549],"study_design_scores_gemma":[0.01694584,0.0021603052,0.97117865,0.00054862525,0.0004395957,0.000008193061,0.0021538034,0.00030328808,0.0043172063,0.0014249302,0.00008603581,0.00043354786],"about_ca_topic_score_codex":0.0050621843,"about_ca_topic_score_gemma":0.0017037578,"teacher_disagreement_score":0.008940708,"about_ca_system_score_codex":0.0010631675,"about_ca_system_score_gemma":0.00044676656,"threshold_uncertainty_score":0.9997703},"labels":[],"label_agreement":null},{"id":"W2147323761","doi":"10.1158/1055-9965.875.13.5","title":"Predictors of Participation in Psychosocial Telephone Counseling following Genetic Testing for BRCA1 and BRCA2 Mutations","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"Psychosocial; Medicine; Intervention (counseling); Genetic counseling; BRCA mutation; Distress; Telephone counseling; Odds ratio; Confidence interval; Genetic testing; Cancer; Breast cancer; Clinical psychology; Internal medicine; Psychiatry; Genetics; Biology","score_opus":0.03871409386627719,"score_gpt":0.37594599818522223,"score_spread":0.33723190431894506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147323761","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":[0.94953,0.0066344244,0.042026836,0.00050270616,0.0006409362,0.0006052962,0.000026251293,0.00001390689,0.00001962937],"genre_scores_gemma":[0.96630174,0.00028807306,0.03230391,0.00012270965,0.00021413738,0.00058557565,0.00014252726,0.000023664215,0.000017670483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983646,0.00019160907,0.0006363537,0.0004481333,0.00006676191,0.00029252627],"domain_scores_gemma":[0.99912965,0.00020311266,0.0003283134,0.0001712341,0.00011199796,0.000055692886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009816311,0.00014861558,0.0002641472,0.00010516756,0.000103257764,0.0000052205273,0.0000938135,0.00022440386,0.00000377738],"category_scores_gemma":[0.0010870956,0.0001689873,0.000121036086,0.00021675858,0.00015903433,0.000012520197,0.000026664555,0.00006533599,4.5983452e-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":[0.00024153794,0.00012870238,0.74789125,0.00011213894,0.00058269,8.689267e-7,0.0006039878,0.016262414,0.2036593,0.000074247524,0.0004355824,0.030007288],"study_design_scores_gemma":[0.0051521845,0.0007267149,0.945342,0.00040874418,0.00036227604,0.0000079273705,0.00036313682,0.0015866444,0.025191525,0.019503674,0.00088201073,0.0004731543],"about_ca_topic_score_codex":0.00017161318,"about_ca_topic_score_gemma":0.0006736328,"teacher_disagreement_score":0.19745077,"about_ca_system_score_codex":0.00016576138,"about_ca_system_score_gemma":0.00031020283,"threshold_uncertainty_score":0.6891102},"labels":[],"label_agreement":null},{"id":"W2147453221","doi":"10.1158/1055-9965.epi-07-2714","title":"Genetic Polymorphisms and Head and Neck Cancer Outcomes: A Review","year":2008,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":73,"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; University of Toronto; University Health Network; Princess Margaret Cancer Centre; McMaster University; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Head and neck cancer; Single-nucleotide polymorphism; XRCC1; Oncology; Cancer; Pharmacogenetics; Biology; Internal medicine; Bioinformatics; Genotype; Genetics; Medicine; Gene","score_opus":0.14519104627570023,"score_gpt":0.45735366527674415,"score_spread":0.3121626190010439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147453221","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":[0.00023762525,0.9912813,0.000025166797,0.004824283,0.0007788208,0.0025564735,0.000077820296,0.000076345495,0.00014222362],"genre_scores_gemma":[0.0000052644814,0.99124515,0.0010492122,0.0036794373,0.00032074176,0.0021830893,0.000095892734,0.00008417928,0.0013370565],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953532,0.00091940066,0.0016702381,0.0011945551,0.0001614566,0.00070113136],"domain_scores_gemma":[0.9974379,0.00062224176,0.000924065,0.0005437271,0.00009087826,0.0003811787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007545447,0.0008235001,0.0061328313,0.00023479687,0.0002062027,0.0000053599983,0.00013951802,0.0006278394,0.00019808918],"category_scores_gemma":[0.0005173526,0.0005979581,0.00080686074,0.00032873638,0.00057496515,0.000068134825,0.00016842423,0.0004992969,0.000017274077],"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":[0.000034428518,0.000039053597,0.03125627,0.039838582,0.0019864063,0.000029317218,0.000020333953,2.0333964e-8,3.176827e-7,0.000009423951,0.033924084,0.8928618],"study_design_scores_gemma":[0.0008146578,0.00023628923,0.045919605,0.15280485,0.003939508,0.00042772468,0.0000029125642,0.000002667834,7.5942e-8,0.000082717066,0.79533166,0.0004373111],"about_ca_topic_score_codex":0.0007564766,"about_ca_topic_score_gemma":0.00030895756,"teacher_disagreement_score":0.89242446,"about_ca_system_score_codex":0.00040663002,"about_ca_system_score_gemma":0.000746962,"threshold_uncertainty_score":0.9996472},"labels":[],"label_agreement":null},{"id":"W2147728718","doi":"10.1158/1055-9965.epi-05-0070","title":"A Comparison of Bilateral Breast Cancers in <i>BRCA</i> Carriers","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"University of Toronto; BC Cancer Agency; Coalition for Research in Women's Health; Hôtel-Dieu de Montréal; McGill University","funders":"National Cancer Institute","keywords":"Oncology; Breast cancer; Medicine; Internal medicine; Cancer","score_opus":0.038897624167250865,"score_gpt":0.39281962480480775,"score_spread":0.3539220006375569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147728718","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":[0.9712896,0.022224791,0.00212143,0.002603041,0.0007766102,0.0004521537,0.000087349144,0.000019897636,0.00042512926],"genre_scores_gemma":[0.99418,0.00075398094,0.0036180052,0.00044079736,0.00029556648,0.00021414687,0.00019065423,0.000026731654,0.00028008225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768317,0.0004379415,0.00081883295,0.0005507891,0.00009011491,0.0004191625],"domain_scores_gemma":[0.998954,0.000058765363,0.00042064424,0.0003801039,0.00009349421,0.00009298855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091995153,0.00021713316,0.00045999035,0.00014315538,0.000053479795,0.0000036580625,0.00024436103,0.00031955083,0.00011607877],"category_scores_gemma":[0.00011640564,0.00022661836,0.00018699403,0.00023518654,0.00031338722,0.0000136594035,0.00007744465,0.00014416996,0.000005429459],"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":[0.00051900855,0.000092803944,0.82856756,0.000049459704,0.00039693588,6.1313784e-7,0.00022450552,0.012053919,0.07224741,0.000072448944,0.021244641,0.064530715],"study_design_scores_gemma":[0.006182754,0.0008616005,0.684403,0.000590337,0.00031974594,0.00006657161,0.0009672409,0.0089526605,0.16899167,0.0019376315,0.12523337,0.0014934131],"about_ca_topic_score_codex":0.000597735,"about_ca_topic_score_gemma":0.0046473555,"teacher_disagreement_score":0.14416453,"about_ca_system_score_codex":0.0005526251,"about_ca_system_score_gemma":0.0005132956,"threshold_uncertainty_score":0.92412287},"labels":[],"label_agreement":null},{"id":"W2147732842","doi":"10.1158/1055-9965.epi-15-0422","title":"The Association between Glyceraldehyde-Derived Advanced Glycation End-Products and Colorectal Cancer Risk","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"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 Ontario; University of Toronto","funders":"Instituto de Salud Carlos III; World Cancer Research Fund; Medical Research Council; Institut Gustave-Roussy; Deutsche Krebshilfe; Mutuelle Générale de l'Education Nationale; Associazione Italiana per la Ricerca sul Cancro; NordForsk; Hellenic Health Foundation; Stavros Niarchos Foundation; Cancerfonden; Institut National de la Santé et de la Recherche Médicale; World Health Organization; European Commission; Bundesministerium für Bildung und Forschung; Ligue Contre le Cancer; National Institute for Health and Care Research; Japan Society for the Promotion of Science; Cancer Research UK; British Heart Foundation; Wellcome Trust; Deutsches Krebsforschungszentrum","keywords":"Glycation; Colorectal cancer; Glyceraldehyde; Medicine; Oncology; Cancer; Internal medicine; Association (psychology); Cancer research; Chemistry; Biochemistry; Psychology; Receptor","score_opus":0.04137136252877088,"score_gpt":0.3703073561293787,"score_spread":0.3289359936006078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147732842","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":[0.94588345,0.036094613,0.0035952213,0.012051502,0.0011159921,0.0009641647,0.0000878673,0.000051646457,0.00015554715],"genre_scores_gemma":[0.9680943,0.024568757,0.0025856923,0.00019074309,0.0010508494,0.00066821923,0.0005648207,0.000043786098,0.0022328212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965079,0.0014501587,0.000521195,0.00076988083,0.00020719797,0.0005436575],"domain_scores_gemma":[0.99777114,0.00039104518,0.0007135714,0.00039134576,0.00054979837,0.00018309067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00353936,0.0002335909,0.0003009343,0.00006105706,0.0003721219,0.000022352104,0.00024605752,0.00029933464,0.000013520526],"category_scores_gemma":[0.0058099735,0.00019570164,0.00007989531,0.00024619588,0.00027795302,0.00003583661,0.00015353707,0.00024569748,0.000010520458],"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":[0.0011648099,0.000035628815,0.62293357,0.000033256365,0.0009067797,3.7545047e-7,0.00011199382,0.00052541104,0.09751802,0.00012722195,0.012989783,0.26365316],"study_design_scores_gemma":[0.0030127303,0.00069094915,0.64290106,0.00006790521,0.00027840704,0.0000058656187,0.00022999466,0.00027635338,0.11976505,0.009926928,0.22219281,0.000651946],"about_ca_topic_score_codex":0.00028765853,"about_ca_topic_score_gemma":0.0005021746,"teacher_disagreement_score":0.2630012,"about_ca_system_score_codex":0.00038530218,"about_ca_system_score_gemma":0.00039951887,"threshold_uncertainty_score":0.7980481},"labels":[],"label_agreement":null},{"id":"W2147870605","doi":"10.1158/1055-9965.epi-10-0675","title":"Genotype–Environment Interactions in Microsatellite Stable/Microsatellite Instability-Low Colorectal Cancer: Results from a Genome-Wide Association Study","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"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; Cancer Care Ontario; Mount Sinai Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Ontario Ministry of Research and Innovation; Canadian Cancer Society Research Institute; National Institutes of Health; Ontario Institute for Cancer Research","keywords":"Genome-wide association study; Microsatellite instability; Microsatellite; Biology; Colorectal cancer; Genetics; Genotype; Genome; Genetic association; Computational biology; Cancer; Gene; Allele; Single-nucleotide polymorphism","score_opus":0.03492933373572215,"score_gpt":0.3045307118709167,"score_spread":0.2696013781351945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147870605","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":[0.9893494,0.005771796,0.0012146271,0.000865868,0.0008522652,0.0012085566,0.0004876602,0.000030209929,0.00021956938],"genre_scores_gemma":[0.986626,0.0066660806,0.0029679856,0.00052071834,0.00022499602,0.0007010881,0.0015228639,0.000043618427,0.0007265934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99374366,0.0024563468,0.001591856,0.0012746593,0.00012429629,0.00080920645],"domain_scores_gemma":[0.9973279,0.0006751573,0.001155144,0.0005579812,0.00012655751,0.00015722842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037853268,0.00040108443,0.00072238996,0.00015655023,0.00019130974,0.000012832184,0.00033685868,0.0004670322,0.0002830175],"category_scores_gemma":[0.0015342255,0.00042116083,0.0002650419,0.00021838573,0.00015806658,0.000025921801,0.00022312114,0.00034504337,0.00004900291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010760208,0.0005723456,0.96386087,0.000010058491,0.0008041898,0.0000024072767,0.0008872333,0.0003495058,0.027953038,0.0000028682202,0.00087483565,0.0036065995],"study_design_scores_gemma":[0.0019260535,0.00029983144,0.9848334,0.00004028056,0.000152466,7.227821e-7,0.0004461202,0.00010047403,0.0028222247,0.0011968979,0.0077860537,0.0003954509],"about_ca_topic_score_codex":0.007902651,"about_ca_topic_score_gemma":0.02028313,"teacher_disagreement_score":0.025130814,"about_ca_system_score_codex":0.0010268113,"about_ca_system_score_gemma":0.00021743412,"threshold_uncertainty_score":0.99982405},"labels":[],"label_agreement":null},{"id":"W2148063833","doi":"10.1158/1055-9965.epi-09-0801","title":"Mammographic Density Change with 1 Year of Aerobic Exercise among Postmenopausal Women: A Randomized Controlled Trial","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Cancer Foundation; University of Calgary; University of Alberta; University of British Columbia; Alberta Health Services; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Medicine; Breast cancer; Randomized controlled trial; Confidence interval; Aerobic exercise; Mammography; Population; Cancer; Physical therapy; Internal medicine; Gynecology","score_opus":0.019198651973905485,"score_gpt":0.30184732054451346,"score_spread":0.282648668570608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148063833","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":[0.9903959,0.0015721638,0.00022520569,0.0007373989,0.0008484239,0.0057830648,0.000006918021,0.00007503435,0.00035586717],"genre_scores_gemma":[0.99481136,0.00038995213,0.0011098377,0.00020662787,0.00023508086,0.002966836,0.00005219234,0.000026634816,0.00020149532],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9973731,0.0006156256,0.0009026689,0.00044792585,0.00016917851,0.0004914775],"domain_scores_gemma":[0.9977751,0.00066821085,0.0007858967,0.00035921333,0.0001730638,0.00023856222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042049233,0.0002868559,0.002434244,0.0004556566,0.00006391226,0.000008307614,0.000114422335,0.0002427435,0.00016290111],"category_scores_gemma":[0.0005388982,0.00019533618,0.00069568545,0.00041374375,0.0011176417,0.00022099902,0.000030491592,0.00030551344,0.0000031401044],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.87438935,0.0003166174,0.113723345,0.000086400636,0.0017854495,0.00001057098,0.000100337136,2.3643834e-7,0.0009824258,0.0002466463,0.00014434993,0.0082142865],"study_design_scores_gemma":[0.8907711,0.001123489,0.102973886,0.000557204,0.0015037442,0.000038148206,0.00007355927,0.00007266303,0.00017755629,0.00244281,0.000040700907,0.00022513393],"about_ca_topic_score_codex":0.00022610706,"about_ca_topic_score_gemma":0.00012124282,"teacher_disagreement_score":0.016381767,"about_ca_system_score_codex":0.000042972937,"about_ca_system_score_gemma":0.000120311255,"threshold_uncertainty_score":0.7965578},"labels":[],"label_agreement":null},{"id":"W2148275411","doi":"10.1158/1055-9965.epi-07-0229","title":"Secondhand Smoke Exposure in Public Places in Guatemala: Comparison with other Latin American Countries","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","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":"Institut National Du Cancer; International Development Research Centre; Flight Attendant Medical Research Institute; Pan American Health Organization; American Cancer Society","keywords":"Environmental health; Latin Americans; Interquartile range; Smoke; Medicine; Passive smoking; Nicotine; Secondhand smoke; Demography; Toxicology; Geography; Surgery; Political science","score_opus":0.09100064414521773,"score_gpt":0.399496442813515,"score_spread":0.30849579866829724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148275411","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":[0.9941157,0.0014241535,0.0012895017,0.0020871514,0.00020170158,0.0004990247,0.0000057062043,0.000045238525,0.00033179362],"genre_scores_gemma":[0.99840367,0.00012357281,0.00047201678,0.00050587096,0.000071522365,0.000117068856,0.00007885743,0.000022023834,0.0002054163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978742,0.00038366957,0.000734957,0.00040263464,0.00014223564,0.00046228443],"domain_scores_gemma":[0.99878585,0.0003973856,0.00044494626,0.0002119328,0.00006836941,0.000091505135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029944389,0.00019145575,0.000624995,0.00038482875,0.000047612382,0.000008936976,0.00007814294,0.00019961613,0.00024119506],"category_scores_gemma":[0.00017768095,0.00015900307,0.00006271764,0.0004857154,0.0003394807,0.00013577724,0.000016192249,0.00026845257,0.000002237098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095163967,0.00012186871,0.985612,0.000052555846,0.00008671703,0.000009150221,0.00035438355,0.000018720015,0.00017684921,0.00011954806,0.00027892433,0.01221766],"study_design_scores_gemma":[0.0022076585,0.00038873713,0.9936042,0.00036956783,0.00007237175,0.0000069080975,0.0010377907,0.00006551106,0.00038892968,0.00018309397,0.0015114101,0.0001638331],"about_ca_topic_score_codex":0.002370428,"about_ca_topic_score_gemma":0.019158123,"teacher_disagreement_score":0.016787695,"about_ca_system_score_codex":0.00038880866,"about_ca_system_score_gemma":0.0001415342,"threshold_uncertainty_score":0.99873966},"labels":[],"label_agreement":null},{"id":"W2148559916","doi":"10.1158/1055-9965.epi-08-0777","title":"Postmenopausal Levels of Endogenous Sex Hormones and Risk of Colorectal Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health","keywords":"Estrone; Colorectal cancer; Sex hormone-binding globulin; Medicine; Internal medicine; Oncology; Odds ratio; Cancer; Body mass index; Prospective cohort study; Hormone; Endocrinology; Cohort study; Physiology; Gynecology; Androgen","score_opus":0.02707829832537841,"score_gpt":0.31759252725697207,"score_spread":0.2905142289315937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148559916","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":[0.9322765,0.06632431,0.0004533434,0.00016712624,0.00017289909,0.00032803157,0.00010270732,0.000010118565,0.00016497468],"genre_scores_gemma":[0.97902197,0.01976297,0.0008984645,0.000059320053,0.000073887124,0.00003621089,0.00005807625,0.000013198089,0.000075915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99824876,0.0005454376,0.00048627297,0.00037270394,0.00006445204,0.00028238932],"domain_scores_gemma":[0.99904203,0.000096905445,0.0005125589,0.00018693067,0.00007613619,0.00008546348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085580716,0.00019164578,0.00044104698,0.00006821523,0.00006361881,0.0000017332983,0.00011613886,0.00037186928,0.000018086579],"category_scores_gemma":[0.00017705113,0.00016730056,0.00014162183,0.000096019285,0.00026575848,0.0000065715503,0.000047299967,0.00011582353,5.6113834e-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":[0.0005446694,0.000075118776,0.115881756,0.000031454954,0.0006920039,0.0000014648908,0.000046019348,0.00012684474,0.8417909,0.000034471854,0.00034179227,0.04043349],"study_design_scores_gemma":[0.0013378182,0.0026689311,0.40398097,0.00009873798,0.00047315395,0.000037994854,0.00004099822,0.0003883927,0.5889405,0.001547289,0.00021537596,0.0002698577],"about_ca_topic_score_codex":0.00026402442,"about_ca_topic_score_gemma":0.000038137012,"teacher_disagreement_score":0.2880992,"about_ca_system_score_codex":0.000024835086,"about_ca_system_score_gemma":0.00010872517,"threshold_uncertainty_score":0.68223184},"labels":[],"label_agreement":null},{"id":"W2148594595","doi":"10.1158/1055-9965.epi-07-0413","title":"Six-Month Follow-up of Patient-Rated Outcomes in a Randomized Controlled Trial of Exercise Training during Breast Cancer Chemotherapy","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":142,"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; University of British Columbia; BC Cancer Agency; Alberta Cancer Foundation; University of Alberta","funders":"","keywords":"Medicine; Breast cancer; Anxiety; Aerobic exercise; Confidence interval; Quality of life (healthcare); Physical therapy; Randomized controlled trial; Chemotherapy; Depression (economics); Internal medicine; Cancer; Psychiatry; Nursing","score_opus":0.026099395473500823,"score_gpt":0.3431433735367871,"score_spread":0.31704397806328627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148594595","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":[0.98349583,0.007827296,0.00025752865,0.0011376877,0.0021181146,0.004942475,0.000032311422,0.000038325874,0.0001504534],"genre_scores_gemma":[0.99534434,0.0025090785,0.00015988605,0.00014863841,0.00010710042,0.0012328809,0.000036812056,0.000035561345,0.0004257019],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9952971,0.0009853599,0.002474819,0.00047102047,0.00024152573,0.00053019624],"domain_scores_gemma":[0.996332,0.0014025191,0.0015666535,0.0003211305,0.00023523081,0.00014249684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056741163,0.0003330594,0.0043672053,0.00044558558,0.000040698273,0.0000024071733,0.00011993249,0.00034753938,0.0003046107],"category_scores_gemma":[0.0008252365,0.00025641086,0.0012822222,0.00041699744,0.00031423874,0.00009075089,0.000025320815,0.00021037814,5.319717e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.82499784,0.00025063407,0.14017794,0.00021623226,0.0015217972,0.0000051050865,0.0015476613,0.000016844902,0.0018091951,0.000020767486,0.000050263207,0.029385697],"study_design_scores_gemma":[0.9005246,0.00027866176,0.093812145,0.0016483106,0.0007809958,0.000004483543,0.0008553689,0.0001277533,0.0014206802,0.00031667366,0.000019524161,0.00021080804],"about_ca_topic_score_codex":0.004670631,"about_ca_topic_score_gemma":0.0048741316,"teacher_disagreement_score":0.07552674,"about_ca_system_score_codex":0.0003045639,"about_ca_system_score_gemma":0.0003343316,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W2148597765","doi":"10.1158/1055-9965.epi-06-0595","title":"Physical Activity and Risk of Colon and Rectal Cancers: The European Prospective Investigation into Cancer and Nutrition","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":233,"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 Cancer Foundation","funders":"Wellcome Trust","keywords":"Medicine; Colorectal cancer; Body mass index; Internal medicine; Prospective cohort study; Hazard ratio; Cancer; Confidence interval; Quartile; Cohort study; Gastroenterology; Oncology","score_opus":0.040368101398884075,"score_gpt":0.3777167030651829,"score_spread":0.3373486016662988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148597765","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":[0.98135823,0.011434208,0.00022580031,0.005837264,0.00012425636,0.00085049495,0.000020556832,0.00002739574,0.000121776866],"genre_scores_gemma":[0.9875042,0.010747215,0.00094057346,0.00015937268,0.0003346405,0.00022133155,0.000020400144,0.000012420273,0.000059856695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982555,0.00091768964,0.00025584432,0.00033360333,0.00006630718,0.00017104381],"domain_scores_gemma":[0.99906135,0.0003174154,0.00035447322,0.000101390535,0.00008195855,0.00008344383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012869858,0.00012698093,0.00033653426,0.000070864124,0.00019001124,0.000005423189,0.000025944784,0.000082557235,0.0000049513947],"category_scores_gemma":[0.00013502073,0.000098879085,0.00004531265,0.00012921906,0.00062118506,0.00010606846,0.000031979915,0.0002032296,3.0940856e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000673242,0.00008570387,0.90713567,0.0005615088,0.0001500178,0.0000010417145,0.00039389674,0.0000022629115,0.012863566,0.000379204,0.0014113473,0.07634256],"study_design_scores_gemma":[0.0017355755,0.00025861134,0.973372,0.0006558247,0.00026001316,0.000011009203,0.0001170941,0.001321101,0.0025302535,0.019360304,0.00028623844,0.000092015376],"about_ca_topic_score_codex":0.008849937,"about_ca_topic_score_gemma":0.0026539895,"teacher_disagreement_score":0.076250546,"about_ca_system_score_codex":0.00021625026,"about_ca_system_score_gemma":0.000080968406,"threshold_uncertainty_score":0.9977502},"labels":[],"label_agreement":null},{"id":"W2149026615","doi":"10.1158/1055-9965.epi-11-0664","title":"Age-Group Differences in Human Papillomavirus Types and Cofactors for Cervical Intraepithelial Neoplasia 3 among Women Referred to Colposcopy","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":25,"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 Ontario; University of Toronto; St. Michael's Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Colposcopy; Cervical intraepithelial neoplasia; Relative risk; Obstetrics; Gynecology; Human papillomavirus; Cervical cancer; Genotyping; Intraepithelial neoplasia; Internal medicine; Cancer; Genotype; Confidence interval; Biology","score_opus":0.10136085604822036,"score_gpt":0.42060593698981863,"score_spread":0.31924508094159826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149026615","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":[0.993671,0.0026304568,0.00041882644,0.0010892221,0.00043036067,0.0013252083,0.000029458604,0.000043453627,0.0003620377],"genre_scores_gemma":[0.996164,0.00045655563,0.00067587727,0.0005876614,0.00041790627,0.0011767916,0.000100160694,0.00002690175,0.0003940925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974659,0.00044775076,0.00058111595,0.00047480137,0.00014210874,0.00088828796],"domain_scores_gemma":[0.9984771,0.0005560465,0.00012572184,0.00021338485,0.000060178427,0.0005675482],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018980809,0.00023004999,0.00077817036,0.00022771754,0.00011993957,0.000012020249,0.00012447074,0.00031298262,0.0009940282],"category_scores_gemma":[0.00046531815,0.00019094457,0.00011271321,0.00023785696,0.0002970221,0.00012957485,0.00008985983,0.00026033612,0.000007419659],"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":[0.0024138808,0.0001543246,0.95131177,0.00022965207,0.00020256641,0.0000025872907,0.0005271207,4.5587856e-7,0.0024090235,0.00035743378,0.0011948678,0.0411963],"study_design_scores_gemma":[0.0021915762,0.0008879367,0.990256,0.00011381214,0.00007375995,0.0000026725468,0.00020277909,0.00005245539,0.00022715091,0.0025278223,0.0032700584,0.0001939678],"about_ca_topic_score_codex":0.0011384398,"about_ca_topic_score_gemma":0.0021700638,"teacher_disagreement_score":0.041002333,"about_ca_system_score_codex":0.00047226474,"about_ca_system_score_gemma":0.00006457287,"threshold_uncertainty_score":0.9999192},"labels":[],"label_agreement":null},{"id":"W2149109421","doi":"10.1158/1055-9965.epi-05-0603","title":"Effect of Physical Activity on Women at Increased Risk of Breast Cancer: Results from the E3N Cohort Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","cited_by":166,"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 Cancer Foundation","funders":"","keywords":"Breast cancer; Medicine; Cohort; Oncology; Cohort study; Cancer; Internal medicine; Gynecology","score_opus":0.026566610252451245,"score_gpt":0.3753803602379256,"score_spread":0.3488137499854743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149109421","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":[0.9955744,0.00020400177,0.000026685286,0.0013326139,0.00014675353,0.0016479369,0.00090568286,0.000029708819,0.00013222835],"genre_scores_gemma":[0.9987525,0.00017494302,0.000009408928,0.00006947975,0.0004157922,0.0003904456,0.00010033954,0.00001617557,0.00007091846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943397,0.0039955783,0.0005153811,0.00055370864,0.00022795291,0.00036768735],"domain_scores_gemma":[0.99196476,0.0063439286,0.0009690827,0.00053465634,0.000071079165,0.00011649312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037034003,0.00023843773,0.0012984157,0.000053469645,0.00012806842,0.0000014029038,0.00013400111,0.00014629267,0.000046096247],"category_scores_gemma":[0.0006558217,0.00015049806,0.0002983775,0.00021732647,0.0003386938,0.00006457966,0.00006932189,0.00032829616,0.000005271202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027001431,0.0024881097,0.9344434,0.00009946125,0.0011219908,0.0000014433754,0.00014561755,0.00005892505,0.0077937813,0.000016973043,0.0013867815,0.025442066],"study_design_scores_gemma":[0.0046099722,0.0030795217,0.9839094,0.0002795287,0.00076344213,9.905978e-7,0.000020109734,0.0006594862,0.005645872,0.00088145304,0.000042843112,0.0001073735],"about_ca_topic_score_codex":0.06861755,"about_ca_topic_score_gemma":0.0020303389,"teacher_disagreement_score":0.06658722,"about_ca_system_score_codex":0.00067173166,"about_ca_system_score_gemma":0.0001498403,"threshold_uncertainty_score":0.9375846},"labels":[],"label_agreement":null},{"id":"W2149493878","doi":"10.1158/1055-9965.epi-07-0692","title":"BTF4/BTNA3.2 and GCS as Candidate mRNA Prognostic Markers in Epithelial Ovarian Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"RNA modifications and cancer","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":"Université de Montréal; McGill University Health Centre; Immunovaccine (Canada); Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Serous fluid; Ovarian cancer; Microarray; Oncology; Proportional hazards model; Internal medicine; Hazard ratio; Microarray analysis techniques; Cancer; Biology; Univariate analysis; Gene; Medicine; Multivariate analysis; Gene expression; Confidence interval; Genetics","score_opus":0.03164686023775176,"score_gpt":0.33157944908850573,"score_spread":0.29993258885075397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149493878","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":[0.97147775,0.023168506,0.0010231818,0.002520755,0.00061865227,0.0006387916,0.00006687794,0.000024257892,0.00046120168],"genre_scores_gemma":[0.9679613,0.02713228,0.0009283815,0.00078966777,0.0003213846,0.0008365986,0.00022192414,0.000037292528,0.001771159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974376,0.00055420026,0.00058758614,0.00079211,0.000095158335,0.00053336873],"domain_scores_gemma":[0.998978,0.00008161706,0.00029715057,0.0003914933,0.00008333125,0.00016840246],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00094514067,0.00028257052,0.00038722137,0.00013073315,0.0001966012,0.000008973418,0.0002054243,0.00036224374,0.00016930918],"category_scores_gemma":[0.00032466848,0.0002749893,0.00013593528,0.00020242891,0.0004058015,0.0000188831,0.00009353866,0.00017580972,0.000010999965],"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":[0.0010357104,0.00012339564,0.8721434,0.000067372435,0.0005040948,0.000017790422,0.0001138255,0.0001948369,0.061425656,0.00027302076,0.012020214,0.05208067],"study_design_scores_gemma":[0.0024293803,0.0003432709,0.94687843,0.00020908055,0.00012596222,0.00008356141,0.0000866537,0.00048631796,0.005207367,0.0018670527,0.041682515,0.0006004082],"about_ca_topic_score_codex":0.0031192338,"about_ca_topic_score_gemma":0.0020337638,"teacher_disagreement_score":0.074735016,"about_ca_system_score_codex":0.0001273781,"about_ca_system_score_gemma":0.00040901668,"threshold_uncertainty_score":0.99997026},"labels":[],"label_agreement":null},{"id":"W2149885831","doi":"10.1158/1055-9965.epi-09-0045","title":"Intakes of Fruit, Vegetables, and Carotenoids and Renal Cell Cancer Risk: A Pooled Analysis of 13 Prospective Studies","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":123,"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 Ontario; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Confidence interval; Relative risk; Zeaxanthin; Lutein; Prospective cohort study; Multivariate analysis; Proportional hazards model; Internal medicine; Carotenoid; Cancer; Food science; Biology","score_opus":0.03765804267263807,"score_gpt":0.36677691007678487,"score_spread":0.3291188674041468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149885831","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":[0.76362246,0.23411454,0.00014673242,0.0014679957,0.00006283156,0.00038389704,0.00008095755,0.000010463144,0.00011010096],"genre_scores_gemma":[0.9348207,0.063479505,0.0012182898,0.00016372217,0.0000637791,0.00009393349,0.000030300269,0.0000060478437,0.00012370538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848264,0.0002497162,0.00058195024,0.0003767784,0.00009540884,0.0002134735],"domain_scores_gemma":[0.9986648,0.0003365718,0.0005310876,0.00013817934,0.00025368383,0.00007569025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085174845,0.00017004577,0.0011250072,0.00021582344,0.000089346315,0.0000014213839,0.000037978683,0.00012152126,0.000024378252],"category_scores_gemma":[0.00030882275,0.00013492741,0.00020401287,0.0004019498,0.00041378764,0.00005006198,0.000039545226,0.00011198605,1.2490193e-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":[0.0011017254,0.00014558694,0.972677,0.00024561505,0.0093268,0.000001645538,0.00024515172,0.000035654015,0.005060486,0.00018264638,0.0017270269,0.009250668],"study_design_scores_gemma":[0.0015369428,0.0007893145,0.97929156,0.0003796075,0.00782677,0.0000017125639,0.00041125898,0.00016212606,0.0016159547,0.007729484,0.00014271715,0.00011253531],"about_ca_topic_score_codex":0.0016292047,"about_ca_topic_score_gemma":0.0011701641,"teacher_disagreement_score":0.17119823,"about_ca_system_score_codex":0.00011199768,"about_ca_system_score_gemma":0.000053689197,"threshold_uncertainty_score":0.55021805},"labels":[],"label_agreement":null},{"id":"W2149939013","doi":"10.1158/1055-9965.epi-05-0055","title":"High Level of Correlation of Human Papillomavirus-16 DNA Viral Load Estimates Generated by Three Real-time PCR Assays Applied on Genital Specimens","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Institut National de Santé Publique du Québec; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"National Cancer Institute","keywords":"Viral load; Human papillomavirus; Sex organ; Real-time polymerase chain reaction; Virology; Medicine; Biology; Virus; Internal medicine; Gene; Genetics","score_opus":0.10487405535411874,"score_gpt":0.38769513863090227,"score_spread":0.2828210832767835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149939013","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":[0.9728909,0.0032385476,0.005490765,0.0014183775,0.00029956273,0.0015095741,0.0003470885,0.00010752171,0.0146976495],"genre_scores_gemma":[0.99343854,0.0004631011,0.0025175696,0.00017846294,0.00033558032,0.00013197065,0.001135507,0.000043480268,0.0017558075],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971394,0.0002932448,0.00111784,0.00057639106,0.00037501327,0.00049810903],"domain_scores_gemma":[0.99805516,0.00045981247,0.0005750609,0.0004216086,0.00030169357,0.000186676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016729332,0.00029828225,0.0009826074,0.00018586371,0.000110087596,0.000004416666,0.00016807053,0.00039101407,0.0059779],"category_scores_gemma":[0.00026408027,0.00026634085,0.00025714768,0.00026321734,0.00043399105,0.00009234672,0.00006869522,0.00028074966,0.00006610826],"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":[0.004893245,0.0005575682,0.03952029,0.0002522807,0.0011346946,0.0000030554613,0.00006691372,0.00035904674,0.7821686,0.0028996523,0.042224508,0.1259201],"study_design_scores_gemma":[0.008394436,0.002287091,0.78802115,0.00027277472,0.00073146046,0.000007846874,0.00003117253,0.0053595793,0.18112166,0.012212459,0.0010067723,0.00055357185],"about_ca_topic_score_codex":0.0017972747,"about_ca_topic_score_gemma":0.0006701663,"teacher_disagreement_score":0.7485009,"about_ca_system_score_codex":0.0010306215,"about_ca_system_score_gemma":0.00027737473,"threshold_uncertainty_score":0.9999789},"labels":[],"label_agreement":null},{"id":"W2150562855","doi":"10.1158/1055-9965.epi-03-0133","title":"Cigarette Smoking and Testicular Cancer","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Testicular diseases and treatments","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":true,"ca_institutions":"University of Toronto; Cancer Care Ontario","funders":"Health Canada","keywords":"Medicine; Odds ratio; Confidence interval; Cigarette smoking; Relative risk; Smoking cessation; Demography; Testicular cancer; Cancer; Internal medicine; Pathology","score_opus":0.0526778105898847,"score_gpt":0.38316327290339336,"score_spread":0.33048546231350867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150562855","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":[0.8709877,0.11635432,0.0021382058,0.0092415735,0.00044886733,0.0005945153,0.000025171601,0.00011066886,0.00009895673],"genre_scores_gemma":[0.99275523,0.0028021326,0.002278936,0.0014586818,0.0001654078,0.00027446935,0.0000877158,0.000025150042,0.00015224499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866456,0.000121036675,0.00032932425,0.00045089712,0.00009386314,0.0003403427],"domain_scores_gemma":[0.99917465,0.00012273906,0.00018867764,0.00022304393,0.000060155857,0.00023074522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035031172,0.00019461433,0.00039629542,0.0000783638,0.00010649019,0.0000055812984,0.00004533144,0.00016315373,0.00013974925],"category_scores_gemma":[0.00038329867,0.00016269788,0.00015976315,0.0001271138,0.00017981984,0.00007295185,0.000037532922,0.00011910081,0.0000051638076],"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":[0.00014107577,0.00012453286,0.9341597,0.000094805095,0.0015089648,0.00006312669,0.00002427024,0.00007770359,0.0003846565,0.0004056961,0.0005944567,0.062420987],"study_design_scores_gemma":[0.0029387467,0.00018581456,0.9819628,0.0008073907,0.0018455049,0.00006262827,0.000018100116,0.00012090244,0.00025466195,0.010578858,0.0010567183,0.00016787669],"about_ca_topic_score_codex":0.00078312116,"about_ca_topic_score_gemma":0.00008301428,"teacher_disagreement_score":0.121767536,"about_ca_system_score_codex":0.00030050636,"about_ca_system_score_gemma":0.00019292963,"threshold_uncertainty_score":0.6634627},"labels":[],"label_agreement":null},{"id":"W2150780897","doi":"10.1158/1055-9965.epi-11-0797","title":"Common Variation in Nemo-Like Kinase Is Associated with Risk of Ovarian Cancer","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Microtubule and mitosis dynamics","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":"Women's College Hospital; Alberta Health Services","funders":"National Cancer Institute","keywords":"Ovarian cancer; Serous fluid; Single-nucleotide polymorphism; Oncology; Internal medicine; Biology; Case-control study; Cancer; Medicine; Cancer research; Genotype; Gene; Genetics","score_opus":0.02061738883690244,"score_gpt":0.3126479158677843,"score_spread":0.29203052703088184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150780897","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":[0.98519707,0.00880004,0.004620965,0.000334993,0.00044697663,0.00038122555,0.00011802209,0.000011260236,0.00008946601],"genre_scores_gemma":[0.99421054,0.00343107,0.00092500047,0.000495756,0.00013698013,0.00016463551,0.00035476004,0.000025227373,0.00025601973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777657,0.0008506416,0.00051761616,0.00036080397,0.00006862904,0.00042571645],"domain_scores_gemma":[0.99877644,0.00009227567,0.0006472228,0.00031491808,0.00008106743,0.00008806646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016276143,0.00019916808,0.0003938255,0.00008930971,0.000059780945,0.0000029298842,0.00014298382,0.00040091033,0.00007736112],"category_scores_gemma":[0.00020457333,0.00018238247,0.00013209884,0.00018967845,0.000119786746,0.000016552207,0.000059604354,0.00014570211,0.0000018904274],"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":[0.00036132723,0.00018096929,0.9236313,0.000027086755,0.0006400766,4.329662e-7,0.00012503713,0.00014537906,0.06649389,0.00006151039,0.0025491917,0.0057837833],"study_design_scores_gemma":[0.0015313529,0.00019506278,0.9833587,0.00018838429,0.00026623628,0.000002484776,0.000034213925,0.00056216697,0.010622569,0.00045960944,0.0025093525,0.00026988247],"about_ca_topic_score_codex":0.00235566,"about_ca_topic_score_gemma":0.004488662,"teacher_disagreement_score":0.05972737,"about_ca_system_score_codex":0.0001250337,"about_ca_system_score_gemma":0.00011443481,"threshold_uncertainty_score":0.7437341},"labels":[],"label_agreement":null},{"id":"W2150948144","doi":"10.1158/1055-9965.1375.13.8","title":"Cancer Prevention Strategies That Address the Evolutionary Dynamics of Neoplastic Cells: Simulating Benign Cell Boosters and Selection for Chemosensitivity","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Selection (genetic algorithm); Evolutionary dynamics; Dynamics (music); Biology; Computational biology; Cancer research; Computer science; Neuroscience; Medicine; Artificial intelligence; Psychology","score_opus":0.07369283198489254,"score_gpt":0.370438337893049,"score_spread":0.2967455059081564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150948144","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":[0.7709282,0.0013118216,0.22354968,0.001690834,0.00038088593,0.0017853954,0.00009367584,0.00009341337,0.00016610966],"genre_scores_gemma":[0.9786116,0.0002020723,0.020373706,0.00007416574,0.00009460342,0.00040070628,0.00006364503,0.00003397988,0.0001455445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99741715,0.0007111325,0.000774165,0.0005172645,0.00012672746,0.00045353125],"domain_scores_gemma":[0.9950263,0.003566698,0.0009606807,0.00021394376,0.00015725562,0.00007515597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00199405,0.0003022169,0.00063132466,0.00009511853,0.00026532199,0.000012324531,0.00015866924,0.0003180929,0.00004156391],"category_scores_gemma":[0.00068884465,0.0002388416,0.00023950262,0.00017205295,0.00046592922,0.00021599524,0.000080947175,0.0002121198,9.890953e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063475803,0.0034731317,0.22238158,0.021984179,0.0070325895,0.000009996872,0.0049343575,0.046591397,0.20145965,0.4186956,0.012054956,0.05503499],"study_design_scores_gemma":[0.0020507535,0.000413011,0.02067117,0.0007850669,0.00073957676,0.000018563025,0.0010817333,0.06364488,0.00904282,0.90108716,0.000036344987,0.00042889608],"about_ca_topic_score_codex":0.00023216577,"about_ca_topic_score_gemma":0.001348531,"teacher_disagreement_score":0.48239157,"about_ca_system_score_codex":0.00038889598,"about_ca_system_score_gemma":0.00024627865,"threshold_uncertainty_score":0.9739678},"labels":[],"label_agreement":null},{"id":"W2151223666","doi":"10.1158/1055-9965.epi-07-0146","title":"Cytoplasmic Clusterin Expression Is Associated with Longer Survival in Patients with Resected Non–Small Cell Lung Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":66,"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; Immunovaccine (Canada)","funders":"U.S. Department of Veterans Affairs","keywords":"Clusterin; Hazard ratio; Lung cancer; Tissue microarray; Staining; Pathology; Biomarker; Immunohistochemistry; Carcinoma; Medicine; Cancer; Confidence interval; Biology; Apoptosis; Oncology; Internal medicine","score_opus":0.027733765002012627,"score_gpt":0.3358662680702445,"score_spread":0.30813250306823187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151223666","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":[0.9924267,0.0013119641,0.0028905463,0.00049923646,0.00062288507,0.0017700469,0.000065202286,0.0000863886,0.00032702737],"genre_scores_gemma":[0.9957312,0.00014474332,0.0014477416,0.000749921,0.00011335258,0.00036938983,0.0004235336,0.00008055877,0.0009395733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612683,0.0008179376,0.0009055647,0.0009435055,0.00025978836,0.00094637484],"domain_scores_gemma":[0.9975753,0.0006328494,0.00068683847,0.00052651495,0.00028778764,0.00029073184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020510156,0.00042427087,0.00095247274,0.00038098852,0.00009882843,0.0000063546113,0.00018579005,0.0005282358,0.0004346557],"category_scores_gemma":[0.00035023573,0.00033626897,0.00013841038,0.00055277004,0.00027531316,0.00012270718,0.00013354966,0.00045470046,0.0000072217754],"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":[0.010347806,0.00045330467,0.9813002,0.00022451371,0.00034283247,0.000081687656,0.00024231867,0.00008357592,0.0029902006,7.153389e-7,0.0025949578,0.0013379055],"study_design_scores_gemma":[0.010525062,0.0006650874,0.98353875,0.0019976469,0.00038472953,0.0000061788523,0.00007728253,0.0006210007,0.0017076184,0.000030261932,0.000075869655,0.0003705245],"about_ca_topic_score_codex":0.00044476803,"about_ca_topic_score_gemma":0.0033057707,"teacher_disagreement_score":0.0033044831,"about_ca_system_score_codex":0.0010514727,"about_ca_system_score_gemma":0.00032215277,"threshold_uncertainty_score":0.9999089},"labels":[],"label_agreement":null},{"id":"W2151274429","doi":"10.1158/1055-9965.epi-11-0300","title":"Vitamin D-Related Genetic Variants, Interactions with Vitamin D Exposure, and Breast Cancer Risk among Caucasian Women in Ontario","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Cancer Care Ontario; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Calcitriol receptor; Vitamin D and neurology; Single-nucleotide polymorphism; Odds ratio; CYP24A1; vitamin D deficiency; Medicine; Oncology; Genotype; Population; Internal medicine; Cancer; Biology; Physiology; Genetics; Gene; Environmental health","score_opus":0.032946116447857575,"score_gpt":0.31564145947904626,"score_spread":0.2826953430311887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151274429","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":[0.99431777,0.0026999777,0.00026872914,0.00079308695,0.00037275266,0.0009611358,0.000036315905,0.000054487067,0.0004957375],"genre_scores_gemma":[0.99168855,0.0024347454,0.0014124046,0.00009787875,0.000056351975,0.0012808121,0.000025244177,0.000040818282,0.0029631662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964323,0.0009621758,0.0007681452,0.00077108364,0.0001508848,0.00091541145],"domain_scores_gemma":[0.9984373,0.00025506446,0.00042451738,0.00038689162,0.00013590293,0.00036035222],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017553023,0.00034576087,0.0008150392,0.0004119149,0.00017185199,0.0000078878775,0.00012750008,0.00025073503,0.0010546778],"category_scores_gemma":[0.0002853442,0.00027681506,0.00010531029,0.00037232562,0.0007016722,0.00023517832,0.00011432828,0.00071475405,0.000009761899],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007492293,0.00022279422,0.97654116,0.00008432924,0.0015995913,0.00007845079,0.003015979,0.000008458449,0.0002029988,0.000010771251,0.00060310937,0.016883103],"study_design_scores_gemma":[0.002973008,0.00051943527,0.99285567,0.00096981594,0.00033992954,0.00015009892,0.00091958715,0.00014781576,0.000026423135,0.00072118605,0.00010822583,0.00026878773],"about_ca_topic_score_codex":0.17711978,"about_ca_topic_score_gemma":0.4989049,"teacher_disagreement_score":0.32178512,"about_ca_system_score_codex":0.0017763273,"about_ca_system_score_gemma":0.00046397516,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W2151351671","doi":"10.1158/1055-9965.epi-07-0329","title":"A Temporal Association between Folic Acid Fortification and an Increase in Colorectal Cancer Rates May Be Illuminating Important Biological Principles: A Hypothesis","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":464,"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":"National Cancer Institute; U.S. Department of Agriculture","keywords":"Incidence (geometry); Colorectal cancer; Demography; Medicine; Fortification; Folic acid; Confidence interval; Cancer; Geography; Internal medicine","score_opus":0.15069051801552885,"score_gpt":0.43659549187600094,"score_spread":0.2859049738604721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151351671","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":[0.992771,0.0029248216,0.00019792802,0.0028973096,0.000114030205,0.00093555223,0.000041599524,0.000054293298,0.00006344466],"genre_scores_gemma":[0.995268,0.0016143819,0.0017488663,0.0002318958,0.00030516196,0.000308543,0.00034363288,0.000022284336,0.00015726445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966025,0.00084520824,0.0010810167,0.0006247464,0.00018258093,0.00066395826],"domain_scores_gemma":[0.9976122,0.0011665756,0.00064343447,0.00017418538,0.00014589181,0.00025774812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0089299595,0.00022701298,0.00064147904,0.0003413657,0.00013028299,0.00001172892,0.00010462443,0.0005212568,0.00008257428],"category_scores_gemma":[0.003207286,0.00018969951,0.00012530864,0.00041916323,0.00021586262,0.00020053529,0.000061261155,0.0003128778,0.0000025250056],"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":[0.0006390514,0.0001210393,0.9282737,0.0000606019,0.00029466033,0.00001234708,0.00016147245,6.4115767e-7,0.030853873,0.000042296957,0.00014893498,0.03939141],"study_design_scores_gemma":[0.001199359,0.0004946019,0.98660505,0.00017898124,0.00014440583,0.000008144743,0.00029486103,0.00069819967,0.009255544,0.000533383,0.00039384086,0.00019365967],"about_ca_topic_score_codex":0.0032440906,"about_ca_topic_score_gemma":0.005361948,"teacher_disagreement_score":0.058331348,"about_ca_system_score_codex":0.0009404576,"about_ca_system_score_gemma":0.0002376292,"threshold_uncertainty_score":0.77357215},"labels":[],"label_agreement":null},{"id":"W2151463929","doi":"10.1158/1055-9965.801.13.5","title":"Identifying Functional Genetic Variants in DNA Repair Pathway Using Protein Conservation Analysis","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Genetics; Biology; XRCC1; DNA repair; Single-nucleotide polymorphism; Gene; Genotype","score_opus":0.0595705562647,"score_gpt":0.3309052931885776,"score_spread":0.2713347369238776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151463929","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":[0.81001663,0.0019138511,0.18688905,0.00026856217,0.0003374487,0.0004970363,0.000011656669,0.00004449314,0.00002124874],"genre_scores_gemma":[0.9583066,0.00011940129,0.04014471,0.00037752744,0.00016788258,0.00026955793,0.00034301763,0.0000299325,0.00024137627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971324,0.0007255102,0.0007629602,0.0008242644,0.00012540071,0.0004294536],"domain_scores_gemma":[0.9989151,0.00003465859,0.0004195056,0.00043675367,0.00010269103,0.000091338035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017376281,0.00023858214,0.00039475778,0.0003038013,0.000113946124,0.000009934792,0.00014650809,0.0003867874,0.00007729922],"category_scores_gemma":[0.00038265652,0.00026152522,0.00040601127,0.00057444454,0.000113988084,0.0000210652,0.00009818517,0.00012184331,0.000007095515],"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":[0.0002455196,0.00010608943,0.13319774,0.000045356872,0.0013220774,0.000010343417,0.000023414232,0.006974492,0.8563513,0.00044590243,0.00011619391,0.0011615577],"study_design_scores_gemma":[0.0027240494,0.00030449743,0.8038194,0.00030990588,0.00075850845,0.000033785735,0.00010143593,0.009152205,0.1573486,0.024200423,0.00050755095,0.00073964725],"about_ca_topic_score_codex":0.0007591238,"about_ca_topic_score_gemma":0.0015894067,"teacher_disagreement_score":0.6990027,"about_ca_system_score_codex":0.00027510404,"about_ca_system_score_gemma":0.0003295822,"threshold_uncertainty_score":0.99998367},"labels":[],"label_agreement":null},{"id":"W2151593979","doi":"10.1158/1055-9965.epi-13-0337","title":"Effects of Dietary Weight Loss and Exercise on Insulin-Like Growth Factor-I and Insulin-Like Growth Factor-Binding Protein-3 in Postmenopausal Women: A Randomized Controlled Trial","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"Jewish General Hospital; University of British Columbia","funders":"National Center for Research Resources; National Cancer Institute; Canadian Institutes of Health Research","keywords":"Internal medicine; Weight loss; Overweight; Endocrinology; Medicine; Insulin-like growth factor; Body mass index; Insulin; Randomized controlled trial; IGFBP3; Obesity; Growth factor; Postmenopausal women; Receptor","score_opus":0.016888731656083213,"score_gpt":0.28314219686743075,"score_spread":0.2662534652113475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151593979","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":[0.9635397,0.016997006,0.00006223856,0.0011852322,0.0012410554,0.01677433,0.000029924387,0.000099137724,0.00007133849],"genre_scores_gemma":[0.9776696,0.014483467,0.00045109692,0.00050479284,0.00020342933,0.0062684724,0.000089941146,0.00008440541,0.0002448245],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99161196,0.0029598742,0.0026310566,0.0012503661,0.0004068651,0.001139884],"domain_scores_gemma":[0.99323916,0.004020587,0.0014243912,0.00041798758,0.0002927457,0.00060514576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029543098,0.000918535,0.0050387406,0.0009859004,0.00016570649,0.000026171665,0.0002281086,0.0008716502,0.0001241667],"category_scores_gemma":[0.0033986608,0.0006896165,0.00055360846,0.00051012106,0.0008809226,0.0005036709,0.00016190183,0.00075376657,0.00001657018],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9043117,0.0012188744,0.049435154,0.0015109776,0.0024252655,0.000050153285,0.0010441552,3.1950637e-7,0.030486455,0.00025048715,0.00037282356,0.008893618],"study_design_scores_gemma":[0.80069155,0.004318333,0.18258257,0.0017493407,0.00074297725,0.00001431496,0.00011006561,0.00016182307,0.0033314682,0.005558385,0.000035620586,0.0007035296],"about_ca_topic_score_codex":0.00073354976,"about_ca_topic_score_gemma":0.000015078915,"teacher_disagreement_score":0.13314742,"about_ca_system_score_codex":0.00045489156,"about_ca_system_score_gemma":0.00026493167,"threshold_uncertainty_score":0.9995555},"labels":[],"label_agreement":null},{"id":"W2151660493","doi":"10.1158/1055-9965.epi-08-0232","title":"Cigarette Smoking and Risk of Lung Metastasis from Esophageal Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Medicine; Odds ratio; Lung cancer; Internal medicine; Metastasis; Confidence interval; Lung; Gastroenterology; Oncology; Esophageal cancer; Etiology; Case-control study; Cancer","score_opus":0.06473060259040946,"score_gpt":0.3865026035000655,"score_spread":0.321772000909656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151660493","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":[0.74906284,0.24806157,0.0005594955,0.0012426898,0.00024163921,0.0005061574,0.00022360406,0.000037070684,0.000064903965],"genre_scores_gemma":[0.9390889,0.057987593,0.0016848289,0.00024403719,0.00020286375,0.00031326522,0.00014185201,0.000026752154,0.00030995221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973909,0.00072908046,0.00061163213,0.00058418117,0.00022211703,0.00046205652],"domain_scores_gemma":[0.9982364,0.00058388186,0.00045028707,0.00033671662,0.00011723269,0.00027548196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010547858,0.00024592754,0.0008140782,0.0001633526,0.00017441076,0.000002839024,0.00009631343,0.00020014518,0.00067253585],"category_scores_gemma":[0.00036427358,0.00020418559,0.00026835548,0.0002110541,0.00045763204,0.00011700978,0.000074844706,0.00029573214,0.0000022925499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080307695,0.000079667676,0.944618,0.000094096686,0.0053881225,0.000066947505,0.00011492043,0.000011142639,0.00012709084,0.000033849796,0.003680921,0.044982154],"study_design_scores_gemma":[0.0026663644,0.00029432058,0.98963016,0.00031924108,0.002002281,0.000023814056,0.000024230827,0.0004095447,0.0029039292,0.001304608,0.0002830417,0.00013847533],"about_ca_topic_score_codex":0.009974611,"about_ca_topic_score_gemma":0.0005575409,"teacher_disagreement_score":0.19007398,"about_ca_system_score_codex":0.00034239827,"about_ca_system_score_gemma":0.00028000964,"threshold_uncertainty_score":0.99661803},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2151692036","doi":"10.1158/1055-9965.epi-12-1173","title":"Sociodemographic Inequalities in Sexual Activity and Cervical Cancer Screening: Implications for the Success of Human Papillomavirus Vaccination","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":46,"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; Université Laval; Public Health Ontario; Jewish General Hospital; University of Toronto; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cervical cancer; Socioeconomic status; Demography; Papanicolaou stain; Human papillomavirus; Gynecology; Population; Ethnic group; Vaccination; Cancer; Inequality; Cervical screening; Environmental health; Internal medicine; Immunology","score_opus":0.18004403000949692,"score_gpt":0.4715328828282328,"score_spread":0.2914888528187359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151692036","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":[0.94414425,0.011578174,0.004015952,0.038074344,0.00009669728,0.0019041923,0.000055801167,0.000027686998,0.000102905615],"genre_scores_gemma":[0.994424,0.0018955388,0.00022627735,0.00036194146,0.0001403497,0.0026955786,0.000056989367,0.000016795615,0.00018253352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981911,0.00043687032,0.0005222066,0.0003810134,0.000105213054,0.00036357678],"domain_scores_gemma":[0.9977368,0.0013698168,0.00024936916,0.0002556109,0.00028039987,0.00010801635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016114361,0.00015271717,0.00048445223,0.00017986924,0.0001897638,0.000009547103,0.0001371414,0.00021598926,0.00072643114],"category_scores_gemma":[0.00030128803,0.00011340214,0.00013279122,0.0003006536,0.00029132637,0.00016389896,0.00007289798,0.00023469847,6.279146e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002622264,0.00006771382,0.7029484,0.00028282523,0.00021176656,6.078337e-8,0.000080783226,0.000005970548,0.0029936032,0.0008799992,0.0010288837,0.29123777],"study_design_scores_gemma":[0.0015408412,0.00022671296,0.98331517,0.000053376527,0.00013357367,0.0000012195503,0.00019955846,0.0012474493,0.00028827947,0.01271785,0.00016957581,0.000106404],"about_ca_topic_score_codex":0.016057035,"about_ca_topic_score_gemma":0.009131317,"teacher_disagreement_score":0.29113138,"about_ca_system_score_codex":0.00014101219,"about_ca_system_score_gemma":0.000118103526,"threshold_uncertainty_score":0.99049515},"labels":[],"label_agreement":null},{"id":"W2152160936","doi":"10.1158/1055-9965.epi-10-1153","title":"Radon and Lung Cancer in the American Cancer Society Cohort","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":133,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Lung cancer; Medicine; Radon; Environmental health; Cohort study; Cohort; Cancer; Prospective cohort study; Guideline; Proportional hazards model; Relative risk; Demography; Internal medicine; Confidence interval; Pathology","score_opus":0.1945809613457725,"score_gpt":0.4976944128514066,"score_spread":0.30311345150563407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152160936","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":[0.95974785,0.026372062,0.00096894434,0.008340835,0.0017839406,0.0018980819,0.00004426007,0.00006113113,0.0007828953],"genre_scores_gemma":[0.94743013,0.04075034,0.0007751488,0.0064606066,0.00043991752,0.003497017,0.000018023584,0.00003441247,0.0005944266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937447,0.0040783198,0.0007113591,0.0005686103,0.0001600367,0.00073699484],"domain_scores_gemma":[0.997921,0.0007818223,0.00077524205,0.00033256054,0.000075647156,0.00011372146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006152962,0.00024324244,0.0006185545,0.00008196588,0.00055253407,0.0000031183183,0.00025364812,0.0002585441,0.0005447032],"category_scores_gemma":[0.00017857601,0.00017492137,0.00017266808,0.0003522138,0.0005136101,0.00018039093,0.0000642994,0.00070298405,0.000006290777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016788409,0.000057399528,0.9441081,0.00013530643,0.0005138384,0.0000013616873,0.0023459655,0.00000584091,0.00029513775,0.00009137999,0.03129028,0.020987488],"study_design_scores_gemma":[0.00075240975,0.00004683041,0.99262345,0.00044071596,0.000230862,0.0000012067455,0.0011557932,0.00066346035,0.000021631713,0.00079180195,0.00307534,0.0001965049],"about_ca_topic_score_codex":0.028656753,"about_ca_topic_score_gemma":0.011411563,"teacher_disagreement_score":0.04851533,"about_ca_system_score_codex":0.0005999004,"about_ca_system_score_gemma":0.00035334958,"threshold_uncertainty_score":0.9778115},"labels":[],"label_agreement":null},{"id":"W2153189003","doi":"10.1158/1055-9965.epi-04-0682","title":"Joint Effects between UDP-Glucuronosyltransferase 1A7 Genotype and Dietary Carcinogen Exposure on Risk of Colon Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"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 de l'Université Laval","funders":"National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Genotype; Carcinogen; Colorectal cancer; Odds ratio; Heterocyclic amine; Cancer; Allele; Case-control study; Biology; Confidence interval; Gastroenterology; Internal medicine; Genetics; Medicine; Gene; Physiology; Food science","score_opus":0.03416460833884018,"score_gpt":0.329714219415623,"score_spread":0.29554961107678285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153189003","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":[0.9635193,0.03248967,0.0017990355,0.00092379266,0.0003100901,0.00066906965,0.0002308129,0.000014998877,0.000043284115],"genre_scores_gemma":[0.986921,0.010321653,0.0011829762,0.00039366414,0.00056951377,0.00020251899,0.00025072633,0.000030896757,0.00012703628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973913,0.00082221633,0.00058589224,0.00067659415,0.000108211956,0.00041578466],"domain_scores_gemma":[0.99885887,0.00016210953,0.0003417747,0.0003923483,0.00008107305,0.00016385264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010207284,0.00030225355,0.00059125334,0.000092379116,0.00012842726,0.000004949201,0.0001404538,0.00036987444,0.00004644525],"category_scores_gemma":[0.00012030443,0.0002825132,0.00027439155,0.00009316427,0.00021698819,0.000008983405,0.000082743805,0.00018375355,0.0000033473423],"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":[0.0004831403,0.00008719202,0.526911,0.00013619362,0.0010010874,0.0000014304393,0.000056436103,0.00033734948,0.36992162,0.000017739798,0.0017980085,0.099248804],"study_design_scores_gemma":[0.0012725935,0.0013173387,0.76831996,0.0001239639,0.00046810712,0.0000025540917,0.000021929423,0.00012241078,0.22419943,0.00024277746,0.0036052808,0.00030363587],"about_ca_topic_score_codex":0.00072843325,"about_ca_topic_score_gemma":0.0012612503,"teacher_disagreement_score":0.24140897,"about_ca_system_score_codex":0.00009960042,"about_ca_system_score_gemma":0.00012724879,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W2153381668","doi":"10.1158/1055-9965.epi-13-0401","title":"Longitudinal Changes in IGF-I and IGFBP-3, and Mammographic Density among Postmenopausal Women","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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 of British Columbia, Okanagan Campus; Alberta Health Services","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Confounding; Medicine; Breast cancer; Longitudinal study; Internal medicine; Confidence interval; Oncology; Mammography; Postmenopausal women; Endocrinology; Demography; Gynecology; Cancer; Pathology","score_opus":0.03433790116644567,"score_gpt":0.32880056642158834,"score_spread":0.29446266525514264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153381668","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":[0.98614633,0.009193426,0.000059559443,0.003572508,0.00022731298,0.0007083429,0.0000060445273,0.000036963454,0.000049536728],"genre_scores_gemma":[0.99353635,0.005005547,0.00025029812,0.00050691643,0.000102564096,0.00035856347,0.000026022533,0.000017098428,0.00019664063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983263,0.00024803038,0.0003573661,0.0005142196,0.00007111656,0.00048298461],"domain_scores_gemma":[0.999139,0.00019106123,0.0001827142,0.00018706429,0.000051616687,0.00024851787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094578305,0.00020846198,0.00056666683,0.00025739233,0.000072443974,0.000010230349,0.00004628584,0.00022661647,0.0002552272],"category_scores_gemma":[0.00013870039,0.00018068953,0.000049521965,0.00019416054,0.00043761713,0.0001421906,0.000068725414,0.00020621042,0.0000041481912],"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":[0.00022936259,0.00004036271,0.9631911,0.00009115445,0.00018487587,0.000008280864,0.00015838574,3.3260048e-7,0.0012413163,0.000041772986,0.00080277654,0.0340103],"study_design_scores_gemma":[0.0011795852,0.0004569209,0.99409795,0.00020042711,0.00008612039,0.00003246514,0.00017401708,0.00012919764,0.00007048791,0.003101046,0.00030507866,0.00016670082],"about_ca_topic_score_codex":0.0062772697,"about_ca_topic_score_gemma":0.007816341,"teacher_disagreement_score":0.0338436,"about_ca_system_score_codex":0.00020329507,"about_ca_system_score_gemma":0.00004986905,"threshold_uncertainty_score":0.94893956},"labels":[],"label_agreement":null},{"id":"W2154026691","doi":"10.1158/1055-9965.epi-06-0128","title":"A Phase I Study of <i>myo</i>-Inositol for Lung Cancer Chemoprevention","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":106,"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; BC Cancer Agency","funders":"National Cancer Institute","keywords":"Medicine; Tolerability; Placebo; Internal medicine; Inositol; Lung cancer; Gastroenterology; Blood pressure; Surgery; Adverse effect; Pathology","score_opus":0.052336507254525086,"score_gpt":0.38863008752902795,"score_spread":0.33629358027450285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154026691","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":[0.99014074,0.004667318,0.0009054369,0.0019257764,0.0002557471,0.0017856722,0.00019400958,0.0000529854,0.00007229477],"genre_scores_gemma":[0.9958872,0.00022517677,0.00035718706,0.000119755554,0.00043579904,0.0021714086,0.0004573757,0.0000024650574,0.0003435872],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982146,0.00027086594,0.00065562676,0.00045611194,0.000085082436,0.00031770146],"domain_scores_gemma":[0.99884015,0.0003583866,0.0005178563,0.0001067861,0.00011843656,0.00005840424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007745466,0.00017128624,0.00038927436,0.000026048672,0.00019991815,0.000006776565,0.000199553,0.00014108077,0.00019978914],"category_scores_gemma":[0.00004431415,0.00008572631,0.00022564046,0.00029146567,0.00007002094,0.00012564533,0.000037062306,0.00006805515,0.00000141634],"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":[0.0006264381,0.005601717,0.23463333,0.00010432324,0.0005569968,5.405384e-7,0.00007134414,0.00006799528,0.4213329,0.0009264736,0.083307825,0.25277013],"study_design_scores_gemma":[0.011950663,0.0048324913,0.848489,0.00051442714,0.0017342034,0.00000488968,0.0007908308,0.007545288,0.038786165,0.032953043,0.051110383,0.0012886489],"about_ca_topic_score_codex":0.002982474,"about_ca_topic_score_gemma":0.0035761546,"teacher_disagreement_score":0.61385566,"about_ca_system_score_codex":0.00007684164,"about_ca_system_score_gemma":0.00002217631,"threshold_uncertainty_score":0.45086282},"labels":[],"label_agreement":null},{"id":"W2154551767","doi":"10.1158/1055-9965.epi-13-0209","title":"Genetic Predictors of Circulating 25-Hydroxyvitamin D and Risk of Colorectal Cancer","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":33,"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 Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; U.S. Public Health Service; National Institute on Aging; National Cancer Institute; National Institutes of Health","keywords":"Colorectal cancer; Single-nucleotide polymorphism; Odds ratio; Vitamin D and neurology; Internal medicine; CYP24A1; Oncology; Genome-wide association study; Cancer; Medicine; Logistic regression; Genetic association; Genetic model; Biology; Calcitriol receptor; Genotype; Genetics; Gene","score_opus":0.031221185359759315,"score_gpt":0.35091654901811364,"score_spread":0.3196953636583543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154551767","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":[0.97337896,0.024334505,0.0003233121,0.0005580165,0.00027043643,0.0009698631,0.0000349111,0.00002435028,0.00010564938],"genre_scores_gemma":[0.98479843,0.011903232,0.0025266246,0.000028996992,0.000100744626,0.00045160577,0.000013443524,0.000019806233,0.0001571254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975883,0.00068147125,0.0007860959,0.00039322383,0.00016398792,0.00038692873],"domain_scores_gemma":[0.99795014,0.00080443313,0.0006454282,0.00021219095,0.00024298354,0.00014479923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012275235,0.00018672588,0.0007663584,0.00017826931,0.000077108496,0.0000019521794,0.00008992176,0.00019799743,0.00022274257],"category_scores_gemma":[0.001888029,0.00015224991,0.00017414111,0.0002179733,0.0008044697,0.00007956418,0.000114148184,0.00019116316,0.000002731651],"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":[0.00004096216,0.000056155666,0.9449717,0.00041518817,0.0016439494,0.0000014758014,0.00016775703,0.00004051288,0.027172742,0.000008580157,0.0018590622,0.023621954],"study_design_scores_gemma":[0.0011238835,0.00038854298,0.9914104,0.00055747136,0.0004952668,0.000009307848,0.00016404517,0.002730795,0.0021383944,0.0008257072,0.00004705753,0.00010915198],"about_ca_topic_score_codex":0.003839289,"about_ca_topic_score_gemma":0.00029170568,"teacher_disagreement_score":0.046438716,"about_ca_system_score_codex":0.00013951195,"about_ca_system_score_gemma":0.00013927938,"threshold_uncertainty_score":0.6208571},"labels":[],"label_agreement":null},{"id":"W2154851553","doi":"10.1158/1055-9965.epi-08-1014","title":"Prediagnosis Reproductive Factors and All-Cause Mortality for Women with Breast Cancer in the Breast Cancer Family Registry","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"Cancer Council Victoria; Cancer Care Ontario; National Health and Medical Research Council; National Cancer Institute; National Institutes of Health; Huntsman Cancer Institute; Medical Research Council","keywords":"Medicine; Breast cancer; Hazard ratio; Gynecology; Obstetrics; Proportional hazards model; Menarche; Breastfeeding; Body mass index; Population; Pregnancy; Cancer; National Death Index; Cancer registry; Cohort; Cohort study; Confidence interval; Demography; Internal medicine; Pediatrics; Environmental health","score_opus":0.07962693729767914,"score_gpt":0.3970547598991201,"score_spread":0.317427822601441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154851553","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":[0.96419036,0.007959708,0.00012284605,0.024348702,0.00039929306,0.0018647072,0.0010039539,0.00005375756,0.000056655434],"genre_scores_gemma":[0.9833234,0.011795604,0.00009397947,0.0019104052,0.0005008611,0.0021041776,0.00008502022,0.00003162067,0.00015494124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970191,0.00038584435,0.0006428437,0.0010433149,0.00018941023,0.0007194516],"domain_scores_gemma":[0.99814457,0.0003567613,0.0005032776,0.0006238891,0.00016544898,0.00020608524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016031917,0.00040101277,0.0008255883,0.00013069509,0.00013144591,0.000016636774,0.0001821478,0.00027658636,0.00010052548],"category_scores_gemma":[0.0001426845,0.00025291054,0.00015153679,0.00033372402,0.00039133136,0.00023246267,0.00002833992,0.00032919366,4.2919595e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00282798,0.00018915422,0.95766264,0.00012591975,0.0017895297,0.00000672467,0.0008903895,0.000037294383,0.00065338454,0.000042573483,0.008675378,0.027099],"study_design_scores_gemma":[0.0019269165,0.00037638546,0.99208575,0.0004567581,0.00090328685,0.00005745742,0.0012154129,0.000049698163,0.00006455544,0.0014153809,0.0011580497,0.00029036633],"about_ca_topic_score_codex":0.010057493,"about_ca_topic_score_gemma":0.0055029974,"teacher_disagreement_score":0.03442306,"about_ca_system_score_codex":0.000889495,"about_ca_system_score_gemma":0.00036193387,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W2154999108","doi":"10.1158/1055-9965.epi-10-0712","title":"Feasibility of Identifying Pancreatic Cancer Based on Serum Metabolomics","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":197,"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 Manitoba; University of Calgary","funders":"Health Research Board","keywords":"Pancreatic cancer; Medicine; Gastroenterology; Internal medicine; Diabetes mellitus; Metabolomics; CA19-9; Confounding; Pancreatitis; Cancer; Receiver operating characteristic; Jaundice; Glutamine; Pathology; Bioinformatics; Endocrinology; Biology","score_opus":0.2744702560639172,"score_gpt":0.46623591624535776,"score_spread":0.1917656601814406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154999108","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":[0.9805366,0.0068237847,0.006166697,0.001589257,0.00058859563,0.0013328954,0.000051707302,0.000064573156,0.0028458887],"genre_scores_gemma":[0.98503006,0.0019192412,0.010771483,0.0007849933,0.00010641951,0.00041445412,0.000044244705,0.000028702498,0.00090038887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650484,0.0012249338,0.00093630847,0.00059049553,0.00019731116,0.0005461011],"domain_scores_gemma":[0.9976006,0.00081188185,0.0005351014,0.00061297027,0.00021653686,0.00022289356],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036939008,0.00024837768,0.0012671663,0.00025047193,0.00009897328,0.000002053161,0.00018288627,0.00035387962,0.0022390415],"category_scores_gemma":[0.0012526916,0.00020553918,0.00036017192,0.0002987055,0.00054106925,0.000082657076,0.00005212033,0.00030304142,0.00002342926],"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":[0.0023970376,0.00035344932,0.98529273,0.00036339962,0.0007862228,0.000007259811,0.000105634404,0.00000914384,0.0013331451,0.00032350793,0.0010908623,0.007937597],"study_design_scores_gemma":[0.0025058906,0.00052496884,0.98386943,0.0006680822,0.0011906271,0.0000055317173,0.00008471772,0.004149297,0.001697212,0.0050054677,0.00013706031,0.0001617407],"about_ca_topic_score_codex":0.0013476957,"about_ca_topic_score_gemma":0.00026947827,"teacher_disagreement_score":0.0077758566,"about_ca_system_score_codex":0.0003953567,"about_ca_system_score_gemma":0.0006658786,"threshold_uncertainty_score":0.998673},"labels":[],"label_agreement":null},{"id":"W2155273031","doi":"10.1158/1055-9965.epi-12-1234-t","title":"The Ability of Plasma Cotinine to Predict Nicotine and Carcinogen Exposure is Altered by Differences in CYP2A6: the Influence of Genetics, Race, and Sex","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":86,"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; Centre for Addiction and Mental Health","funders":"National Cancer Institute; National Center for Research Resources; National Institute of Mental Health; Canadian Institutes of Health Research; National Institute on Drug Abuse; U.S. Public Health Service","keywords":"CYP2A6; Cotinine; Nicotine; Race (biology); Carcinogen; Genetics; Medicine; Biology; Toxicology; Internal medicine","score_opus":0.03293883748226278,"score_gpt":0.3259669133259174,"score_spread":0.2930280758436546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155273031","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":[0.99115235,0.0039526275,0.000033755936,0.00390698,0.00009179191,0.0008232158,0.000024363719,0.0000069527687,0.0000079648835],"genre_scores_gemma":[0.9978056,0.0016727699,0.00007789906,0.00015597668,0.000024273213,0.0001531752,0.000014567265,0.000006460782,0.00008926419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983682,0.0004682273,0.0005969908,0.00027647783,0.000104252445,0.00018586834],"domain_scores_gemma":[0.9985777,0.000686404,0.00030267474,0.0002650381,0.00009984356,0.00006834841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013906097,0.00012179504,0.0003889224,0.000045142617,0.000058996673,0.000004109228,0.000101541846,0.00012865032,0.00003313794],"category_scores_gemma":[0.0004120727,0.00007268393,0.00004410245,0.00011313149,0.00047925225,0.000039259507,0.000058732065,0.00011605398,2.0319506e-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":[0.000120805526,0.000031715193,0.9541196,0.00006129967,0.00007244586,4.8915453e-8,0.00037341294,0.000005343023,0.026718015,0.0000044927397,0.0016264658,0.016866349],"study_design_scores_gemma":[0.0007441891,0.00032981503,0.9915038,0.00015569401,0.000102768994,0.000002889127,0.00021126415,0.00028166483,0.0061300816,0.00038400272,0.00009418976,0.000059661612],"about_ca_topic_score_codex":0.0011909548,"about_ca_topic_score_gemma":0.00015565561,"teacher_disagreement_score":0.03738417,"about_ca_system_score_codex":0.000035740533,"about_ca_system_score_gemma":0.000044531946,"threshold_uncertainty_score":0.29639646},"labels":[],"label_agreement":null},{"id":"W2155364553","doi":"10.1158/1055-9965.epi-10-0151","title":"A Candidate Gene Study of Folate-Associated One Carbon Metabolism Genes and Colorectal Cancer Risk","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":40,"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 Cancer Institute; Canadian Institutes of Health Research; University of Southern California","keywords":"Odds ratio; Colorectal cancer; Single-nucleotide polymorphism; Oncology; Internal medicine; Medicine; Genotyping; Haplotype; Population; Confidence interval; Genetics; Cancer; Genotype; Biology; Bioinformatics; Gene","score_opus":0.04077875284965601,"score_gpt":0.37378049142802616,"score_spread":0.3330017385783702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155364553","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":[0.981968,0.015546592,0.000011820098,0.0005095049,0.00061203155,0.0011935903,0.000062577164,0.00004329451,0.000052574018],"genre_scores_gemma":[0.9900632,0.008783342,0.0002769563,0.000050040315,0.00014332347,0.00035312568,0.00006167124,0.000031460662,0.00023691308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711215,0.00090271985,0.00070311746,0.00057158613,0.00020580564,0.0005045869],"domain_scores_gemma":[0.9983932,0.00032578432,0.0005174965,0.0002989469,0.00024859334,0.00021602762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024809763,0.00024107528,0.00094107597,0.0002538935,0.00012538087,0.000005659086,0.00012345164,0.00036967607,0.00014000516],"category_scores_gemma":[0.0006986921,0.00020613255,0.00014304766,0.0003505986,0.00028655128,0.000072190844,0.00010434917,0.00050213013,0.0000016751288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009478333,0.0005062025,0.79144526,0.000044942255,0.0024024062,0.000006965591,0.00026040917,0.0000026122348,0.18004386,0.0000084857575,0.00013145736,0.024199564],"study_design_scores_gemma":[0.0041705333,0.0010300319,0.9784285,0.0000859765,0.0013454164,0.000008487501,0.00013923785,0.0011150885,0.012906455,0.0004465218,0.00013429254,0.0001894525],"about_ca_topic_score_codex":0.0390289,"about_ca_topic_score_gemma":0.046601,"teacher_disagreement_score":0.18698324,"about_ca_system_score_codex":0.000114979164,"about_ca_system_score_gemma":0.00025599578,"threshold_uncertainty_score":0.97079605},"labels":[],"label_agreement":null},{"id":"W2155708732","doi":"10.1158/1055-9965.epi-07-2900","title":"B-Vitamin Intake, One-Carbon Metabolism, and Survival in a Population-Based Study of Women with Breast Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Breast cancer; Hazard ratio; Medicine; Internal medicine; Methylenetetrahydrofolate reductase; Proportional hazards model; Oncology; Estrogen receptor; Population; Cancer; Genotype; Physiology; Gynecology; Endocrinology; Confidence interval; Biology; Genetics; Environmental health; Gene","score_opus":0.0595568403708131,"score_gpt":0.3600310431121439,"score_spread":0.3004742027413308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155708732","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":[0.99603456,0.0017663566,0.000024069395,0.0010698587,0.00010362593,0.00093025673,0.000014888515,0.000022141026,0.000034225646],"genre_scores_gemma":[0.9984893,0.0005176544,0.00020262483,0.00010047346,0.00006716488,0.00045092523,0.00003226328,0.000023525829,0.000116039584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742436,0.00080904743,0.0005970871,0.0004684361,0.0002224305,0.00047865423],"domain_scores_gemma":[0.9988997,0.0002889347,0.00024647923,0.00026731173,0.000129742,0.00016785067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016703474,0.00019346387,0.00085096894,0.00037527768,0.000056917193,0.0000021399653,0.0000802223,0.00015779541,0.0001093167],"category_scores_gemma":[0.0001519397,0.00015497369,0.00005106978,0.0005022382,0.0001681217,0.00008483608,0.00003568611,0.00021998241,6.165326e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034232065,0.00067852705,0.9861952,0.00012105,0.00054295565,0.000015526188,0.0004764205,0.000048943097,0.00084730494,0.00000862417,0.000025381254,0.007616865],"study_design_scores_gemma":[0.005417125,0.0007357713,0.99222404,0.00025290917,0.0001437305,0.000012841387,0.0003332727,0.0005845309,0.000056852336,0.00007085992,0.00002452812,0.00014356841],"about_ca_topic_score_codex":0.018353634,"about_ca_topic_score_gemma":0.007705605,"teacher_disagreement_score":0.010648029,"about_ca_system_score_codex":0.0004591895,"about_ca_system_score_gemma":0.0003019014,"threshold_uncertainty_score":0.98818326},"labels":[],"label_agreement":null},{"id":"W2155968975","doi":"10.1158/1055-9965.epi-15-0360","title":"Subsequent Malignant Neoplasms in a Population-Based Cohort of Pediatric Cancer Patients: A Focus on the First 5 Years","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; Pediatric Oncology Group; Cancer Care Ontario; University of Toronto; Public Health Ontario","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cohort; Incidence (geometry); Confidence interval; Cancer; Cumulative incidence; Population; Internal medicine; Oncology; Cancer registry; Pediatrics; Cohort study","score_opus":0.05189017266584117,"score_gpt":0.34897908606523087,"score_spread":0.2970889133993897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155968975","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":[0.9883349,0.0016207579,0.00020207246,0.0077705868,0.00045119575,0.0014563905,0.000039009254,0.000026366783,0.00009871156],"genre_scores_gemma":[0.9974069,0.00042789796,0.00022477131,0.00075594854,0.00015929448,0.0007901059,0.00011588827,0.00002867316,0.00009051919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972744,0.0006245438,0.0008087446,0.00046302078,0.00036649805,0.0004628177],"domain_scores_gemma":[0.99765867,0.0011105788,0.00044950063,0.00039229542,0.00021305005,0.00017591013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024212622,0.0002020153,0.00055483094,0.00031168666,0.000044108245,0.0000036754127,0.0001863435,0.00023830798,0.00014180082],"category_scores_gemma":[0.0017959989,0.00014440974,0.00016957232,0.0005642652,0.00014416385,0.000055950342,0.000051621246,0.00022250618,0.00001770028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011183328,0.00021434775,0.9852585,0.00007256356,0.00017336717,0.000008495627,0.000060219947,0.00046871873,0.00001061538,0.00014036491,0.010326598,0.0021478506],"study_design_scores_gemma":[0.0037135398,0.00043497983,0.9901339,0.00033941114,0.00019424323,0.0000016297939,0.000021314756,0.003255575,0.000086392734,0.0014187911,0.00026650395,0.0001337365],"about_ca_topic_score_codex":0.010223675,"about_ca_topic_score_gemma":0.0022141375,"teacher_disagreement_score":0.010060094,"about_ca_system_score_codex":0.0024491546,"about_ca_system_score_gemma":0.0011445115,"threshold_uncertainty_score":0.99636734},"labels":[],"label_agreement":null},{"id":"W2155993522","doi":"10.1158/1055-9965.epi-14-1309","title":"Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Human Genome Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institute on Aging; National Cancer Institute; Lundbeckfonden; National Institutes of Health; U.S. Public Health Service","keywords":"Mendelian randomization; Body mass index; Medicine; Colorectal cancer; Oncology; Randomization; Mendelian inheritance; Index (typography); Internal medicine; Cancer; Genetics; Biology; Clinical trial; Genotype; Gene; Genetic variants; Computer science","score_opus":0.028893687689769007,"score_gpt":0.34083533530957927,"score_spread":0.31194164761981025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155993522","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":[0.9806778,0.0066821408,0.01081387,0.0004005813,0.0005473314,0.00073117175,0.00003795623,0.000014215977,0.00009494166],"genre_scores_gemma":[0.9947842,0.0030883602,0.0011648919,0.000092713664,0.0001772524,0.0003557385,0.00012751886,0.000020389396,0.00018894613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963828,0.0019334843,0.0007316317,0.00053780864,0.00008979315,0.00032452383],"domain_scores_gemma":[0.99845654,0.00016022031,0.00078170426,0.00023439489,0.00021804607,0.00014912142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029892158,0.00020870738,0.0005535395,0.000099544464,0.00009761741,0.000004110638,0.0001387381,0.0003510069,0.000024504861],"category_scores_gemma":[0.0013207872,0.00019195426,0.00010813916,0.00014566904,0.00016846535,0.000008608004,0.00009204405,0.00011550364,0.000001493734],"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":[0.0010655231,0.00012152219,0.9800379,0.0000106711495,0.00071829103,3.226939e-7,0.00009570943,0.0018488878,0.006705514,0.000013616945,0.0040538353,0.0053281877],"study_design_scores_gemma":[0.008754263,0.0012307736,0.9787052,0.00002853152,0.00034521747,0.0000033265003,0.00090194185,0.0045138467,0.0009775914,0.003013782,0.0012344345,0.00029104072],"about_ca_topic_score_codex":0.0017250733,"about_ca_topic_score_gemma":0.0017227103,"teacher_disagreement_score":0.0141063975,"about_ca_system_score_codex":0.00007442212,"about_ca_system_score_gemma":0.00017034383,"threshold_uncertainty_score":0.78276676},"labels":[],"label_agreement":null},{"id":"W2156073112","doi":"10.1158/1055-9965.epi-13-0340","title":"A Genome-wide Association Study of Early-Onset Breast Cancer Identifies <i>PFKM</i> as a Novel Breast Cancer Gene and Supports a Common Genetic Spectrum for Breast Cancer at Any Age","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"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","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Center for Advancing Translational Sciences; National Institute of Mental Health; Cancer Research UK","keywords":"Breast cancer; Cancer; Medicine; Genetic association; Genome-wide association study; Oncology; Gene; Internal medicine; Biology; Genetics; Genotype; Single-nucleotide polymorphism","score_opus":0.0156950344031178,"score_gpt":0.30685034749073237,"score_spread":0.29115531308761455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156073112","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":[0.98162913,0.0053541604,0.0015299623,0.0054956363,0.0008423892,0.0016157026,0.003482777,0.000033244643,0.000017007742],"genre_scores_gemma":[0.98872674,0.0054489844,0.00043060238,0.0011272548,0.0006120009,0.001952892,0.00047588488,0.00008491934,0.001140732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947577,0.0011738328,0.0014405607,0.0013235423,0.00022947844,0.001074869],"domain_scores_gemma":[0.99633574,0.0005270938,0.0018567732,0.00063081685,0.00036959787,0.00027999614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025777814,0.00057547295,0.0012585233,0.00018313408,0.00038280024,0.000025798889,0.00036465816,0.0007103504,0.00023083424],"category_scores_gemma":[0.00032374114,0.0005732749,0.00037857157,0.0002528106,0.00028713347,0.000028746173,0.00031791237,0.00021188383,0.0000039254064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091043644,0.00032169055,0.9585231,0.00011310594,0.0018383029,0.0000016454261,0.00017784844,0.00055220095,0.029057818,0.000003728315,0.0042694644,0.004230687],"study_design_scores_gemma":[0.0027689259,0.0004531171,0.9926629,0.00011469948,0.00080823054,0.0000635706,0.00011775653,0.00030158187,0.0005504506,0.00077028194,0.00082965917,0.0005588231],"about_ca_topic_score_codex":0.013598508,"about_ca_topic_score_gemma":0.028629644,"teacher_disagreement_score":0.03413983,"about_ca_system_score_codex":0.00067543384,"about_ca_system_score_gemma":0.00032853367,"threshold_uncertainty_score":0.9996719},"labels":[],"label_agreement":null},{"id":"W2156286678","doi":"10.1158/1055-9965.epi-07-0648","title":"Colon Cancer Family Registry: An International Resource for Studies of the Genetic Epidemiology of Colon Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":397,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University; Cancer Care Ontario","funders":"National Cancer Institute","keywords":"Colorectal cancer; Medicine; Family history; Population; Cancer; Microsatellite instability; Epidemiology; Oncology; Internal medicine; Cancer registry; Epidemiology of cancer; Genetics; Environmental health; Biology; Microsatellite; Breast cancer","score_opus":0.16343430073592202,"score_gpt":0.46883573124135175,"score_spread":0.3054014305054297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156286678","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":[0.9266137,0.060046386,0.0022961146,0.005018381,0.003857349,0.0017714952,0.00019284346,0.000034300174,0.00016945558],"genre_scores_gemma":[0.9744369,0.009319266,0.011099825,0.002245394,0.0006943255,0.0011517243,0.00007301283,0.000057421188,0.000922175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99559677,0.000994905,0.0017448806,0.00077633053,0.00022774399,0.00065936364],"domain_scores_gemma":[0.99388796,0.0027180281,0.0018799014,0.00069529354,0.0006588086,0.00016000531],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0048773633,0.00033753697,0.0013141619,0.0001880298,0.00012418692,0.0000013331467,0.00051516766,0.00050147704,0.00009853628],"category_scores_gemma":[0.0037592906,0.00025903917,0.00045925088,0.0003388348,0.0013493594,0.00006445879,0.00016143294,0.0002824742,6.6384786e-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":[0.004014867,0.00014037467,0.8958231,0.00045946558,0.0019180478,0.0000014363499,0.0002657147,0.0007622629,0.032264713,0.00021289552,0.01688022,0.047256876],"study_design_scores_gemma":[0.002265935,0.0010632123,0.96200126,0.0010841937,0.0008277895,0.000012702227,0.00047009322,0.00065624993,0.010173634,0.004634246,0.016542485,0.00026820166],"about_ca_topic_score_codex":0.0017177693,"about_ca_topic_score_gemma":0.0032380815,"teacher_disagreement_score":0.06617813,"about_ca_system_score_codex":0.0009437462,"about_ca_system_score_gemma":0.0005704912,"threshold_uncertainty_score":0.9999862},"labels":[],"label_agreement":null},{"id":"W2156583611","doi":"10.1158/1055-9965.epi-04-0058","title":"Risk Factors for Colorectal Cancer in Relation to Number and Size of Aberrant Crypt Foci in Humans","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Colorectal cancer; Aberrant crypt foci; Medicine; Colonoscopy; Family history; Internal medicine; Cancer; Statistical significance; Oncology; Risk factor; Colonic disease","score_opus":0.03929461462299606,"score_gpt":0.37063463765716514,"score_spread":0.3313400230341691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156583611","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":[0.9928642,0.0020180773,0.0018888003,0.0016096327,0.00032182652,0.001128874,0.000037684615,0.000029969233,0.00010095453],"genre_scores_gemma":[0.99558437,0.0007208806,0.0026872414,0.0001182387,0.00012586244,0.0005691806,0.000020856507,0.000019091496,0.00015430262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998232,0.00025075904,0.00068183476,0.0004414229,0.00008111052,0.00031285605],"domain_scores_gemma":[0.9984493,0.00094214897,0.0003177137,0.0001197879,0.00007238646,0.0000986588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013578044,0.00017245491,0.0005575074,0.00015499911,0.000053845517,0.0000025308511,0.0000468209,0.0002623326,0.00013298713],"category_scores_gemma":[0.001204809,0.00016319784,0.00013498505,0.0003105941,0.000090384376,0.00010804388,0.000024367097,0.00019731157,0.0000015427789],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051826155,0.0000631554,0.9484793,0.0000659013,0.00010855486,4.19778e-7,0.0006129782,0.0006365172,0.0038952013,0.000034313063,0.00044923008,0.040471844],"study_design_scores_gemma":[0.0022928852,0.0007222299,0.9897656,0.00035603382,0.000113786766,0.0000021729188,0.00013167414,0.0025463528,0.002252258,0.0011587176,0.00050991424,0.00014841725],"about_ca_topic_score_codex":0.005033122,"about_ca_topic_score_gemma":0.021715075,"teacher_disagreement_score":0.041286286,"about_ca_system_score_codex":0.0005607593,"about_ca_system_score_gemma":0.00010410989,"threshold_uncertainty_score":0.99613607},"labels":[],"label_agreement":null},{"id":"W2156610323","doi":"10.1158/1055-9965.epi-05-0073","title":"Correlation of Human Papillomavirus Type 16 and Human Papillomavirus Type 18 E7 Messenger RNA Levels with Degree of Cervical Dysplasia","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"BC Cancer Agency","funders":"National Cancer Institute","keywords":"Dysplasia; Cervical cancer; Malignant transformation; Cervical intraepithelial neoplasia; Messenger RNA; Human papillomavirus; HPV infection; Biology; Gene; Cancer research; Intraepithelial neoplasia; Real-time polymerase chain reaction; Cancer; Oncology; Internal medicine; Virology; Medicine; Genetics","score_opus":0.15140784507345037,"score_gpt":0.4303226710207358,"score_spread":0.27891482594728545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156610323","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":[0.9733144,0.014622999,0.000568435,0.0013163297,0.00024635694,0.0009369435,0.000027807944,0.0000579464,0.008908768],"genre_scores_gemma":[0.9962735,0.00088609353,0.0008622238,0.00022259729,0.00023238556,0.000043907294,0.00012751631,0.000038925682,0.0013128376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728394,0.0005077117,0.0009213758,0.00054244854,0.0002926987,0.0004518122],"domain_scores_gemma":[0.9980387,0.00034650907,0.00048513638,0.00042155746,0.00047014744,0.0002379543],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013951095,0.00027229593,0.00093601324,0.00022697862,0.00013741349,0.0000048814436,0.00014766555,0.00038297684,0.005223352],"category_scores_gemma":[0.00024572443,0.0002198724,0.00014530226,0.0003967012,0.00064489857,0.00014132202,0.00008776363,0.0003615299,0.000015160773],"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":[0.0057146843,0.0004411843,0.7319286,0.00095722894,0.0013163025,0.000011465712,0.00018630463,0.000037772294,0.08159511,0.003068132,0.0064902613,0.16825297],"study_design_scores_gemma":[0.0032222827,0.0019550337,0.9834324,0.0003330701,0.00044107507,0.000020585143,0.000059177695,0.00018833608,0.0056751207,0.0019602568,0.0024770007,0.00023562711],"about_ca_topic_score_codex":0.0009119076,"about_ca_topic_score_gemma":0.0015639444,"teacher_disagreement_score":0.25150385,"about_ca_system_score_codex":0.00028723344,"about_ca_system_score_gemma":0.0002197534,"threshold_uncertainty_score":0.995686},"labels":[],"label_agreement":null},{"id":"W2156838653","doi":"10.1158/1055-9965.epi-06-0965","title":"Is <i>TGFBR1*6A</i> a Susceptibility Allele for Nonsyndromic Familial Colorectal Neoplasia?","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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":"Immunovaccine (Canada); University of British Columbia","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute","keywords":"Allele; Locus (genetics); Colorectal cancer; Genetics; Genetic linkage; Biology; Population; Chromosome; Medicine; Gene; Cancer; Environmental health","score_opus":0.0673544897478763,"score_gpt":0.4014097295747769,"score_spread":0.33405523982690055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156838653","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":[0.9609606,0.0033038158,0.024079496,0.0044360105,0.0026618615,0.0036239747,0.00010493007,0.0001627926,0.00066646846],"genre_scores_gemma":[0.97988766,0.00034343358,0.014499417,0.0023346655,0.000603793,0.0008100906,0.00025676473,0.00006655731,0.0011975969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961074,0.00033228664,0.0011774307,0.0011051015,0.00021361334,0.0010641777],"domain_scores_gemma":[0.99706334,0.0012956166,0.00045675805,0.0005440185,0.00026852617,0.00037175821],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042303978,0.00042487873,0.0009853736,0.00019628131,0.00021204918,0.0000068753716,0.00023023535,0.0006877323,0.00075460924],"category_scores_gemma":[0.0012455338,0.00040479217,0.00067208655,0.00030766605,0.0005158225,0.000091332986,0.00009154235,0.0003470049,0.00004629841],"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":[0.010276396,0.00034447823,0.7709069,0.00038186056,0.001109891,0.000014053333,0.00027889147,0.000016405918,0.076038845,0.00015650793,0.09777293,0.042702794],"study_design_scores_gemma":[0.005849885,0.0028567489,0.9334944,0.0002548099,0.000696142,0.00013763345,0.00022232151,0.0008837715,0.022732163,0.006953445,0.02528866,0.0006300553],"about_ca_topic_score_codex":0.00047700419,"about_ca_topic_score_gemma":0.0022062168,"teacher_disagreement_score":0.16258742,"about_ca_system_score_codex":0.0009901664,"about_ca_system_score_gemma":0.00053311867,"threshold_uncertainty_score":0.9998404},"labels":[],"label_agreement":null},{"id":"W2157203835","doi":"10.1158/1055-9965.511.13.4","title":"Folate and DNA Methylation: A Mechanistic Link between Folate Deficiency and Colorectal Cancer?","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":348,"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; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"DNA methylation; Carcinogenesis; Epigenetics; Methylation; Biology; Cancer epigenetics; Epigenetics of physical exercise; Genetics; Cancer research; Colorectal cancer; DNA; Cancer; Gene; Gene expression","score_opus":0.03456805304428439,"score_gpt":0.34086634360289414,"score_spread":0.30629829055860974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157203835","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":[0.90242714,0.0680283,0.02736132,0.0013534462,0.00031646327,0.00039152245,0.000034595014,0.000022541019,0.000064693544],"genre_scores_gemma":[0.98206437,0.013488027,0.0035901133,0.0000923266,0.00037889867,0.00013006633,0.00016828235,0.000025967247,0.00006192586],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980745,0.0003437695,0.00048803128,0.0006532778,0.0000770656,0.00036338958],"domain_scores_gemma":[0.99915314,0.000114243565,0.00031179644,0.00018485555,0.00008372189,0.0001522723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012181705,0.00023864878,0.00034864727,0.000085289816,0.00020565322,0.000015764976,0.00010237725,0.00038401978,0.00001414023],"category_scores_gemma":[0.00027468224,0.00023598342,0.00009912388,0.00012796478,0.00019522845,0.000013691433,0.00010993459,0.0001184606,0.0000020238451],"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":[0.00020308034,0.000025468458,0.11761202,0.00009133604,0.0003952153,0.0000018386553,0.00009238346,0.00018982387,0.59993345,0.0013356105,0.0000424821,0.2800773],"study_design_scores_gemma":[0.0030814472,0.0020380893,0.45880824,0.00023126356,0.0006100687,0.000012088535,0.000052341216,0.00042703355,0.2562283,0.2741783,0.0034326902,0.000900158],"about_ca_topic_score_codex":0.0002565526,"about_ca_topic_score_gemma":0.0003552295,"teacher_disagreement_score":0.34370515,"about_ca_system_score_codex":0.000071133625,"about_ca_system_score_gemma":0.00013255322,"threshold_uncertainty_score":0.9623124},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W2157283269","doi":"10.1158/1055-9965.epi-04-0706","title":"Insulin-Like Growth Factor-I, IGF-Binding Protein-3, and Mammographic Breast Density","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":155,"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; Centre hospitalier universitaire de Québec; Health Sciences Centre; University of Toronto; The Quebec Population Health Research Network; Hôpital Charles-Le Moyne; McGill University; Jewish General Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; MAMMOGRAPHIC DENSITY; Breast cancer; Mammography; Correlation; Breast density; Internal medicine; Insulin-like growth factor; Postmenopausal women; Insulin-like growth factor-binding protein; Oncology; Endocrinology; Gynecology; Growth factor; Cancer; Receptor; Mathematics","score_opus":0.03843061161854576,"score_gpt":0.33289471063838555,"score_spread":0.2944640990198398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157283269","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":[0.9839893,0.0075704185,0.00083377626,0.005972961,0.0004400643,0.00090643234,0.000048326267,0.00012946138,0.00010925665],"genre_scores_gemma":[0.9937718,0.0024868494,0.0017983856,0.00064530654,0.0003955206,0.00014365444,0.00008656344,0.000035262055,0.00063667155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976516,0.0003530566,0.0006285465,0.00067754096,0.00014006448,0.0005492212],"domain_scores_gemma":[0.9987376,0.00016831851,0.0003543025,0.00030186021,0.00011936709,0.00031856057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009572393,0.00031175342,0.0006780644,0.00027179497,0.00018313018,0.000011545392,0.00009839009,0.00034734883,0.00026446182],"category_scores_gemma":[0.00018450941,0.0002753556,0.0002660113,0.00028712556,0.0003355127,0.00020649625,0.00007594082,0.0003421787,0.000021993732],"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":[0.00073244044,0.000098573866,0.888646,0.00014610219,0.00049488177,0.000007400013,0.00007692998,8.181611e-7,0.008766349,0.00023443376,0.002290102,0.09850598],"study_design_scores_gemma":[0.00206804,0.00021309187,0.9891766,0.00045045218,0.0002549621,0.00015813761,0.000047770067,0.00014042064,0.0011077704,0.0012759939,0.004774909,0.000331852],"about_ca_topic_score_codex":0.0009530413,"about_ca_topic_score_gemma":0.0008645974,"teacher_disagreement_score":0.10053061,"about_ca_system_score_codex":0.00035284593,"about_ca_system_score_gemma":0.0001519245,"threshold_uncertainty_score":0.99996984},"labels":[],"label_agreement":null},{"id":"W2157455117","doi":"10.1158/1055-9965.epi-08-0382","title":"Colorectal Adenomas in a Randomized Folate Trial: The Role of Baseline Dietary and Circulating Folate Levels","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":42,"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; Immunovaccine (Canada)","funders":"National Center for Research Resources; National Cancer Institute","keywords":"Medicine; Aspirin; Placebo; Internal medicine; Folic acid; Randomized controlled trial; Gastroenterology; Folic acid supplementation; Confidence interval; Colorectal cancer; Colorectal adenoma; Physiology; Cancer; Pathology","score_opus":0.0964098239141688,"score_gpt":0.38766358770218373,"score_spread":0.29125376378801493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157455117","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":[0.9616961,0.034374136,0.00021140292,0.0013713647,0.00015934918,0.0019628662,0.000008470931,0.000022878465,0.00019341437],"genre_scores_gemma":[0.9952431,0.0033396748,0.00062622153,0.00013638848,0.00011449257,0.00029329013,0.000037169084,0.000019613683,0.00019006031],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9954071,0.002562605,0.0010776536,0.00039933663,0.0001485066,0.00040477968],"domain_scores_gemma":[0.996435,0.0027473932,0.00038782734,0.00023604119,0.000092585746,0.000101191006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007873365,0.00019106657,0.0012090744,0.00021676357,0.00011741763,0.0000026391021,0.00010296927,0.0002322135,0.00011198556],"category_scores_gemma":[0.0027753608,0.0001280176,0.00034759945,0.00030247497,0.0006146509,0.000095514,0.00007520987,0.00030381637,0.0000030875756],"study_design_candidate":"randomized_trial","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":[0.5149783,0.00031495639,0.3603257,0.00019134051,0.0020182,0.000056735185,0.00090943015,0.000026239908,0.032294378,0.00020330881,0.0004458494,0.08823556],"study_design_scores_gemma":[0.44605288,0.001551547,0.50580734,0.0006561587,0.0005876638,0.00019793473,0.00022185348,0.029917952,0.0017739022,0.012642012,0.00029014875,0.0003006357],"about_ca_topic_score_codex":0.0012366668,"about_ca_topic_score_gemma":0.00025187145,"teacher_disagreement_score":0.1454816,"about_ca_system_score_codex":0.00009450744,"about_ca_system_score_gemma":0.00020495415,"threshold_uncertainty_score":0.52204055},"labels":[],"label_agreement":null},{"id":"W2157717773","doi":"10.1158/1055-9965.epi-13-0028","title":"Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":23,"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 Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Cancer Research UK","keywords":"Ovarian cancer; Single-nucleotide polymorphism; Oncology; Medicine; Cancer; Internal medicine; Genotype; SNP; Proportional hazards model; ERCC1; Survival analysis; Disease; Genetic association; Bioinformatics; Genome-wide association study; Biology; Genetics; DNA repair; Gene; Nucleotide excision repair","score_opus":0.062379926364643075,"score_gpt":0.38070974129619456,"score_spread":0.3183298149315515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157717773","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":[0.98221993,0.00919993,0.00016501296,0.0061816545,0.0004446669,0.0011645578,0.00029331874,0.00005581209,0.00027508577],"genre_scores_gemma":[0.99008024,0.0030637775,0.0005991784,0.0006172946,0.00023400124,0.00081865984,0.00068874937,0.000030459652,0.0038676285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966677,0.00049666135,0.0014000692,0.0007030958,0.00021548285,0.00051701436],"domain_scores_gemma":[0.9965304,0.00085381727,0.0015709184,0.00048158356,0.00030456105,0.00025873166],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015100661,0.00031362416,0.0015044996,0.00041489227,0.000099770754,0.00001380054,0.00008518359,0.00038006713,0.0052014263],"category_scores_gemma":[0.00086528645,0.00026483313,0.0004604404,0.0006416614,0.00012460005,0.00017854662,0.000055126202,0.00015528323,0.000020449615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015180255,0.000106606574,0.95416826,0.000084244144,0.017901322,0.000010847313,0.000049985654,0.000012177959,0.00016813162,0.00001406852,0.0101862075,0.017146366],"study_design_scores_gemma":[0.0018568523,0.00027776623,0.98009676,0.0002404191,0.014825725,0.000005088185,0.000010544349,0.00039924067,0.00014450395,0.00014691796,0.0017799344,0.00021623894],"about_ca_topic_score_codex":0.035377823,"about_ca_topic_score_gemma":0.0021476627,"teacher_disagreement_score":0.033230163,"about_ca_system_score_codex":0.0010042705,"about_ca_system_score_gemma":0.00021122166,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W2157726524","doi":"10.1158/1055-9965.epi-05-0775","title":"Synthesizing the Lifetime History of Smoking","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","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":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Smoking history; Medicine; Internal medicine","score_opus":0.06183045361046641,"score_gpt":0.3664255014505359,"score_spread":0.30459504784006947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157726524","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":[0.5696438,0.3669982,0.0022071525,0.04377076,0.001990681,0.0022325134,0.000030561114,0.00018798019,0.012938367],"genre_scores_gemma":[0.98797625,0.0017640056,0.0016707815,0.0010639323,0.0006744056,0.00021324582,0.00003737043,0.00003979501,0.0065601952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975127,0.00082023576,0.00061826344,0.00041302244,0.00019629116,0.0004395163],"domain_scores_gemma":[0.9980229,0.00085937884,0.00035910847,0.0004892276,0.00012068277,0.00014868344],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023894652,0.00017428459,0.0004803063,0.00014689195,0.000070535454,0.0000016123465,0.00020251649,0.00017238465,0.0014154175],"category_scores_gemma":[0.00091185176,0.00013252751,0.0003220385,0.00014256107,0.0006688274,0.00010891484,0.000089638226,0.00027490413,0.00002712001],"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":[0.00093562267,0.00023945679,0.46614566,0.00053387426,0.0013428009,0.000012031696,0.00026699886,0.00008683085,0.006448789,0.0010415638,0.057656903,0.46528947],"study_design_scores_gemma":[0.0011684464,0.00009248933,0.8467698,0.0007271767,0.00051519484,0.00003709773,0.0001519744,0.0036683371,0.00063222053,0.0016342952,0.14439693,0.00020601251],"about_ca_topic_score_codex":0.00024892206,"about_ca_topic_score_gemma":0.000051186493,"teacher_disagreement_score":0.46508345,"about_ca_system_score_codex":0.0022750576,"about_ca_system_score_gemma":0.0006958573,"threshold_uncertainty_score":0.9994974},"labels":[],"label_agreement":null},{"id":"W2157811508","doi":"10.1158/1055-9965.epi-10-0940","title":"Metformin and the Incidence of Prostate Cancer in Patients with Type 2 Diabetes","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Medicine; Metformin; Prostate cancer; Cohort; Internal medicine; Cancer; Relative risk; Cohort study; Population; Incidence (geometry); Type 2 diabetes; Prostate; Oncology; Diabetes mellitus; Gynecology; Endocrinology; Confidence interval; Insulin","score_opus":0.017963771664631457,"score_gpt":0.2811532040132013,"score_spread":0.26318943234856984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157811508","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":[0.761088,0.23820348,0.000025325442,0.000034468354,0.00020459759,0.0003750113,0.000015636031,0.000003512822,0.000049963717],"genre_scores_gemma":[0.9333116,0.06550353,0.00044404247,0.00028697256,0.000048936403,0.0002708654,0.00004173739,0.000015792633,0.00007657303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985046,0.0004296133,0.00038067522,0.00033539132,0.000066462286,0.00028329334],"domain_scores_gemma":[0.9991932,0.000059888403,0.00032960178,0.00024337306,0.00012516299,0.00004879193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011899536,0.00015452634,0.00035449813,0.00005106167,0.000039067778,0.0000022888705,0.00014844147,0.00013188846,0.0000655722],"category_scores_gemma":[0.00019986619,0.000099188735,0.00005930491,0.0001421574,0.0005059704,0.000013924578,0.00007132922,0.00007940683,6.9474686e-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":[0.0012220117,0.000035710942,0.879832,0.000042203672,0.00021361305,9.845088e-8,0.00012217875,0.000007662672,0.00037080693,0.00009129296,0.00031136983,0.11775101],"study_design_scores_gemma":[0.0032638025,0.0003593162,0.9802054,0.00017375594,0.00014295035,2.4035103e-7,0.000047906535,0.000045074452,0.009040102,0.0024579528,0.00405216,0.00021134765],"about_ca_topic_score_codex":0.0003719105,"about_ca_topic_score_gemma":0.0006769879,"teacher_disagreement_score":0.17269996,"about_ca_system_score_codex":0.000022159065,"about_ca_system_score_gemma":0.000100247955,"threshold_uncertainty_score":0.40447992},"labels":[],"label_agreement":null},{"id":"W2157957715","doi":"10.1158/1055-9965.epi-11-1105","title":"Genetic Variants, Prediagnostic Circulating Levels of Insulin-like Growth Factors, Insulin, and Glucose and the Risk of Colorectal Cancer: The Multiethnic Cohort Study","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":43,"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 Cancer Institute; Ministerio de Economía y Competitividad","keywords":"Colorectal cancer; Internal medicine; IGFBP3; Medicine; Oncology; Insulin; Cohort; Case-control study; Endocrinology; Cohort study; Cancer; Growth factor","score_opus":0.037085109809537956,"score_gpt":0.31688148034973385,"score_spread":0.2797963705401959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157957715","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":[0.9171464,0.07842741,0.00037409118,0.00033828185,0.0007397423,0.0028252057,0.0001029339,0.000028440818,0.00001752151],"genre_scores_gemma":[0.9770041,0.021839458,0.00040823984,0.00012758485,0.00016045163,0.00038878,0.000024577545,0.00003587092,0.000010922175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947229,0.002587165,0.0013667624,0.0005228181,0.00025525474,0.00054511015],"domain_scores_gemma":[0.9934992,0.004366141,0.0012731171,0.0004154707,0.00023787715,0.0002081978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00497363,0.00038018834,0.0012026231,0.0001474458,0.00024531697,0.000006326909,0.00019936977,0.00029920792,0.000036038993],"category_scores_gemma":[0.0043250867,0.0002249801,0.00023378516,0.00038060796,0.0011587287,0.00017153133,0.00018222042,0.00044821258,8.0969255e-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":[0.0008459897,0.00029161217,0.98613024,0.00015929001,0.0020982975,0.0000011812447,0.0024833125,0.000012939136,0.0011754453,0.00004911111,0.0001421175,0.0066104494],"study_design_scores_gemma":[0.0047708964,0.0004993164,0.9889013,0.00019158659,0.002563498,0.000017830356,0.0008028779,0.00089364435,0.000467003,0.000672884,0.000018728246,0.00020039726],"about_ca_topic_score_codex":0.0049685217,"about_ca_topic_score_gemma":0.00028886218,"teacher_disagreement_score":0.059857745,"about_ca_system_score_codex":0.00011994065,"about_ca_system_score_gemma":0.0001721439,"threshold_uncertainty_score":0.9174422},"labels":[],"label_agreement":null},{"id":"W2158048150","doi":"10.1158/1055-9965.epi-06-0783","title":"The Prevalence of BRCA2 Mutations in Familial Pancreatic Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":268,"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","funders":"National Cancer Institute","keywords":"Pancreatic cancer; Ovarian cancer; Proband; Breast cancer; Medicine; Oncology; Cancer; BRCA2 Protein; Internal medicine; Family history; Mutation; Germline mutation; Genetics; Biology; Gene","score_opus":0.031806591760160256,"score_gpt":0.36958769029036587,"score_spread":0.3377810985302056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158048150","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":[0.9316742,0.057230595,0.0075070537,0.001435602,0.0011455447,0.0006203239,0.000059675047,0.000014462167,0.00031253503],"genre_scores_gemma":[0.9845663,0.011193085,0.0016988117,0.0002260947,0.0002514679,0.0004109454,0.000060944127,0.000022851333,0.0015695422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977293,0.0004661851,0.00079413794,0.000463673,0.00010509078,0.00044161943],"domain_scores_gemma":[0.99852777,0.0004187714,0.0004212757,0.00042594015,0.00014212311,0.00006409611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027793343,0.00017472655,0.00024796987,0.000095839,0.00013586592,0.000004270432,0.0003092303,0.00024045163,0.00005986822],"category_scores_gemma":[0.0007119048,0.0001487073,0.0001525909,0.00027452974,0.00050796114,0.000009675203,0.00007630354,0.00012890011,0.000003193616],"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":[0.00058389135,0.000077669356,0.8447039,0.0001900974,0.00043106792,0.00000138107,0.00014096173,0.0010358335,0.06743183,0.00040993775,0.0036900223,0.08130342],"study_design_scores_gemma":[0.00090391166,0.00017160898,0.96043974,0.00018312002,0.00015193166,0.0000053446656,0.00019786309,0.00023400337,0.024424369,0.0037396357,0.009305248,0.0002432182],"about_ca_topic_score_codex":0.00051456364,"about_ca_topic_score_gemma":0.0049421242,"teacher_disagreement_score":0.11573586,"about_ca_system_score_codex":0.00023914786,"about_ca_system_score_gemma":0.0004045081,"threshold_uncertainty_score":0.6064108},"labels":[],"label_agreement":null},{"id":"W2158529055","doi":"10.1158/1055-9965.epi-06-0708","title":"Vitamin D and Cancer Risk among American Indians","year":2007,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Vitamin D and neurology; Cancer; Confidence interval; Demography; Internal medicine; Colorectal cancer; Vitamin; Oncology","score_opus":0.04559594533135174,"score_gpt":0.39805680129295085,"score_spread":0.3524608559615991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158529055","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17779638,0.072000764,0.0010286826,0.7431772,0.0018888323,0.0028298174,0.00044487297,0.00024737377,0.00058609864],"genre_scores_gemma":[0.037709597,0.25476697,0.005051856,0.6555722,0.013504588,0.004195757,0.0020614208,0.00046596912,0.026671669],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99398416,0.0017662311,0.0010507778,0.0013663296,0.00038650006,0.001446005],"domain_scores_gemma":[0.99558824,0.0018812681,0.001315026,0.0006695043,0.00023606946,0.0003098731],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0033656212,0.00069118943,0.0019568256,0.0007506227,0.00028505744,0.0000134589245,0.0002539873,0.0013270124,0.00026738743],"category_scores_gemma":[0.0019103728,0.0005876002,0.00046818278,0.0005208043,0.0032491982,0.00010689677,0.00024041969,0.0030039581,0.000024491039],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008100297,0.000020229023,0.44238803,0.00035254483,0.0018682723,0.00013447748,0.000060928367,6.647931e-7,0.000019330642,7.166263e-7,0.4922352,0.06283858],"study_design_scores_gemma":[0.0009326186,0.00036033004,0.7394573,0.0011978984,0.0011434159,0.000024415414,0.000100981575,0.00003942794,0.000024096928,0.0002658267,0.2560205,0.0004332026],"about_ca_topic_score_codex":0.010518636,"about_ca_topic_score_gemma":0.0027574429,"teacher_disagreement_score":0.29706928,"about_ca_system_score_codex":0.00093550526,"about_ca_system_score_gemma":0.00037121164,"threshold_uncertainty_score":0.9999695},"labels":[],"label_agreement":null},{"id":"W2158639875","doi":"10.1158/1055-9965.epi-06-0223","title":"Effect of a 12-Month Exercise Intervention on Patterns of Cellular Proliferation in Colonic Crypts: A Randomized Controlled Trial","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":71,"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; Immunovaccine (Canada)","funders":"National Center for Research Resources; National Cancer Institute; National Institute on Aging","keywords":"Medicine; Crypt; Aerobic exercise; Randomized controlled trial; Internal medicine; Psychological intervention; Colorectal cancer; Aberrant crypt foci; Physiology; Physical therapy; Endocrinology; Gastroenterology; Cancer; Colonic disease","score_opus":0.017144122741738047,"score_gpt":0.3328743331936967,"score_spread":0.31573021045195865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158639875","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":[0.9784695,0.0042978753,0.0070928214,0.00023293654,0.0008956598,0.0088247685,0.000006348559,0.00003974658,0.00014037972],"genre_scores_gemma":[0.9952425,0.00027435896,0.00011276784,0.000020351186,0.00016799232,0.0038110628,0.00011303046,0.000018146895,0.00023982215],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.993856,0.0035044495,0.0017934601,0.00040511115,0.0001847139,0.0002562677],"domain_scores_gemma":[0.996661,0.0016481105,0.0013002858,0.00023623278,0.0001046352,0.00004974377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008011408,0.00024293964,0.0025116038,0.00042160574,0.00003318947,0.0000033284512,0.00006699308,0.00030020392,0.000081570695],"category_scores_gemma":[0.0014442834,0.0001855437,0.0010360667,0.00019704858,0.00013056563,0.000071814095,0.00001952015,0.00019369516,0.0000016706009],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9620589,0.00040174453,0.022190923,0.00044841337,0.00035500972,0.000002697361,0.000032573687,0.00016527259,0.0022299893,0.0000644356,0.00009356993,0.01195648],"study_design_scores_gemma":[0.9418335,0.01435804,0.012369987,0.0027097352,0.0011186302,0.000002092753,0.000012391832,0.00577009,0.020849127,0.0008223497,0.000012171398,0.0001418802],"about_ca_topic_score_codex":0.002003534,"about_ca_topic_score_gemma":0.00091717095,"teacher_disagreement_score":0.020225385,"about_ca_system_score_codex":0.00027206205,"about_ca_system_score_gemma":0.000091215785,"threshold_uncertainty_score":0.75662524},"labels":[],"label_agreement":null},{"id":"W2158665749","doi":"10.1158/1055-9965.epi-06-1074","title":"The <i>CYP1A2</i> Genotype Modifies the Association Between Coffee Consumption and Breast Cancer Risk Among <i>BRCA1</i> Mutation Carriers","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Coffee research and impacts","field":"Medicine","cited_by":94,"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; Women's College Hospital; University of Toronto","funders":"","keywords":"Genotype; Breast cancer; Mutation; Genetics; Oncology; Medicine; Internal medicine; Biology; Cancer; Gene","score_opus":0.042764203871465005,"score_gpt":0.3767728342766694,"score_spread":0.3340086304052044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158665749","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":[0.9628968,0.021640833,0.0021235826,0.011223706,0.00057767465,0.0012032194,0.00009685953,0.000066166736,0.00017115148],"genre_scores_gemma":[0.9748576,0.023281835,0.00007582078,0.00041967497,0.0005296759,0.0001499613,0.000103872415,0.000024807672,0.00055673614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966889,0.0012069043,0.00063425844,0.00040245143,0.000308747,0.0007587568],"domain_scores_gemma":[0.9951189,0.0033095686,0.00071560236,0.00030342434,0.0002591316,0.00029333925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008842342,0.0002239515,0.000413666,0.000109427565,0.00073677726,0.000035167708,0.00013193738,0.00030315702,0.00006336628],"category_scores_gemma":[0.0015777112,0.00014011198,0.0001698881,0.00026339974,0.0005876148,0.00020189698,0.000058499678,0.0004979558,0.000013991493],"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":[0.0005647096,0.000012420059,0.8008929,0.000041975938,0.0009341982,0.0000018196293,0.00012079163,0.000010702072,0.00032525568,0.000032911063,0.0058973017,0.191165],"study_design_scores_gemma":[0.0012774395,0.00011937215,0.99130404,0.00015867432,0.0006653813,0.000013900717,0.00015587256,0.00032526173,0.00034638238,0.0015975995,0.0038933428,0.000142709],"about_ca_topic_score_codex":0.0033971323,"about_ca_topic_score_gemma":0.004809071,"teacher_disagreement_score":0.19102229,"about_ca_system_score_codex":0.00087043544,"about_ca_system_score_gemma":0.00023915574,"threshold_uncertainty_score":0.5713601},"labels":[],"label_agreement":null},{"id":"W2159075114","doi":"10.1158/1055-9965.epi-11-0053","title":"Prostate Cancer Susceptibility Polymorphism rs2660753 Is Not Associated with Invasive Ovarian Cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research; Alberta Health Services","funders":"National Cancer Institute; Cancer Research UK; National Institutes of Health; National Institute for Health and Care Research; Canadian Institutes of Health Research; Instytut Medycyny Pracy im. prof. J. Nofera","keywords":"Prostate cancer; Ovarian cancer; Serous fluid; Oncology; Internal medicine; Cancer; Medicine; Case-control study; Gynecology","score_opus":0.09581801008709134,"score_gpt":0.3496337803845667,"score_spread":0.2538157702974754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159075114","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":[0.9546247,0.022226932,0.00011152505,0.017503886,0.0011483073,0.0029291094,0.0006795022,0.00020915527,0.00056689576],"genre_scores_gemma":[0.9703696,0.015852772,0.00084174535,0.006054042,0.00022943807,0.004201765,0.0003387241,0.00008983851,0.0020220997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99570566,0.00067093706,0.0009937839,0.0013291338,0.0002688906,0.0010316072],"domain_scores_gemma":[0.9970678,0.00039465504,0.0009614297,0.0006958696,0.00042801484,0.00045223194],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012939255,0.0005921488,0.0012299648,0.00019329236,0.0002356311,0.00001180089,0.00020042727,0.0004336566,0.0035573386],"category_scores_gemma":[0.00036654327,0.0004594185,0.00037917122,0.00048115777,0.0005993765,0.000263109,0.000090381465,0.00037432526,0.000028954993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028976863,0.0005747062,0.9485341,0.00015949116,0.0039008963,0.000052042422,0.0010790001,0.0000057461407,0.0013761675,0.000101472266,0.012528898,0.028789831],"study_design_scores_gemma":[0.0055593923,0.0010441253,0.96919566,0.0020511728,0.0017294451,0.000012344646,0.00014007966,0.00005396975,0.01652116,0.0018402609,0.0013264137,0.000525951],"about_ca_topic_score_codex":0.015981648,"about_ca_topic_score_gemma":0.012767459,"teacher_disagreement_score":0.02826388,"about_ca_system_score_codex":0.0019277347,"about_ca_system_score_gemma":0.0013533395,"threshold_uncertainty_score":0.9997858},"labels":[],"label_agreement":null},{"id":"W2159486064","doi":"10.1158/1055-9965.epi-07-2570","title":"Cyclooxygenase-2 and Inducible Nitric Oxide Synthase Gene Polymorphisms and Risk of Reflux Esophagitis, Barrett's Esophagus, and Esophageal Adenocarcinoma","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Gastroenterology; Barrett's esophagus; Internal medicine; Esophagus; Reflux esophagitis; Odds ratio; Adenocarcinoma; Medicine; Esophagitis; Population; Esophageal cancer; Reflux; Cancer; Disease","score_opus":0.04928401380056698,"score_gpt":0.33792322001466835,"score_spread":0.2886392062141014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159486064","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":[0.5642955,0.43437785,0.000111590234,0.00046745455,0.000053872653,0.00056157564,0.00008699893,0.000032734446,0.000012443533],"genre_scores_gemma":[0.93069667,0.06453005,0.003739918,0.00020166654,0.00013890045,0.00021147293,0.000109224784,0.0000425845,0.00032948362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650353,0.0008136401,0.0008054308,0.00096933846,0.00024339385,0.0006646474],"domain_scores_gemma":[0.9976524,0.0006172819,0.00047214376,0.00046765272,0.00012332336,0.0006671978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014025334,0.0004089594,0.0010417964,0.000403991,0.00030699628,0.000008390734,0.00010420982,0.00034262537,0.00012712654],"category_scores_gemma":[0.000639712,0.00036005207,0.00017064321,0.0003369353,0.0011150147,0.00020499562,0.00015341472,0.00037898959,0.0000050321714],"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":[0.0011257982,0.00014517606,0.98157656,0.0001769623,0.0011448895,0.00043065625,0.00007327808,0.0000016814043,0.0009793033,0.00008089798,0.0008896723,0.013375103],"study_design_scores_gemma":[0.0041707507,0.00084222294,0.9806957,0.00019461624,0.0006821392,0.000938035,0.000031327178,0.00014354085,0.010358331,0.0017140666,0.000013717786,0.00021550666],"about_ca_topic_score_codex":0.0028030232,"about_ca_topic_score_gemma":0.000073868454,"teacher_disagreement_score":0.3698478,"about_ca_system_score_codex":0.00020486515,"about_ca_system_score_gemma":0.00030576187,"threshold_uncertainty_score":0.99988514},"labels":[],"label_agreement":null},{"id":"W2159889484","doi":"10.1158/1055-9965.epi-13-0671","title":"Single-Nucleotide Polymorphisms in Reductase Genes Are not Associated with Response to Daunorubicin-Based Remission Induction","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Myeloid Leukemia Research","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":"Simon Fraser University; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Daunorubicin; Single-nucleotide polymorphism; Gene; Medicine; Genetics; Reductase; Biology; Genotype; Enzyme; Chemotherapy; Biochemistry","score_opus":0.0720650930586125,"score_gpt":0.3549447166044747,"score_spread":0.28287962354586216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159889484","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":[0.9421702,0.0009070831,0.0005507302,0.054024138,0.00033894164,0.0018135005,0.000018087307,0.0001254439,0.000051869574],"genre_scores_gemma":[0.9906262,0.000086592314,0.0035495358,0.0029402697,0.00019877344,0.00061243656,0.00021498495,0.00007291285,0.0016982652],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99435943,0.0026991914,0.0008786581,0.0009104686,0.0003032587,0.0008490163],"domain_scores_gemma":[0.9968835,0.0011515921,0.00053879444,0.00061355205,0.00033896245,0.00047360227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042061578,0.00035861577,0.00081239623,0.0007799756,0.00014055653,0.000014669213,0.00019949842,0.00048616738,0.00041327192],"category_scores_gemma":[0.004828705,0.0002982808,0.00015725265,0.0010292499,0.00029521142,0.00020984185,0.00007523096,0.000515657,0.0000760354],"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":[0.012961796,0.0003413277,0.2596704,0.000044795153,0.00025777795,0.00006332239,0.00007393661,0.00016215983,0.66909355,0.000003205881,0.018406883,0.03892082],"study_design_scores_gemma":[0.0041711163,0.0013013802,0.93280345,0.0020361056,0.00014381424,0.00003126721,0.0001928669,0.0016061338,0.05550266,0.00020554138,0.0016199914,0.00038566784],"about_ca_topic_score_codex":0.0017430701,"about_ca_topic_score_gemma":0.00047588977,"teacher_disagreement_score":0.6731331,"about_ca_system_score_codex":0.0027871507,"about_ca_system_score_gemma":0.0007262808,"threshold_uncertainty_score":0.99994695},"labels":[],"label_agreement":null},{"id":"W2160245544","doi":"10.1158/1055-9965.epi-06-0639","title":"Genetic Variation in H2AFX Contributes to Risk of Non–Hodgkin Lymphoma","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"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; BC Cancer Agency; Occupational Cancer Research Centre","funders":"","keywords":"Lymphoma; Biology; Single-nucleotide polymorphism; Follicular lymphoma; Genetics; Genotype; SNP; Non-Hodgkin's lymphoma; Haplotype; Chromosomal translocation; BCL6; Mantle cell lymphoma; Genetic variation; Cancer research; Gene; Immunology; B cell; Antibody","score_opus":0.0145611240783531,"score_gpt":0.3199324906890247,"score_spread":0.3053713666106716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160245544","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":[0.7733099,0.0027347277,0.22266391,0.00019855972,0.00046794303,0.00050601456,0.000018825685,0.000012016316,0.00008809497],"genre_scores_gemma":[0.97995657,0.00056063454,0.01863086,0.0003517668,0.00012724088,0.00011758544,0.00006346765,0.000022984601,0.00016887854],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99753124,0.0005731688,0.00082266633,0.00055164983,0.000076742246,0.00044456605],"domain_scores_gemma":[0.99875957,0.00018092677,0.00045031475,0.00039748836,0.00011271079,0.00009897974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039007629,0.00019197265,0.00038627014,0.00021254843,0.00004282765,0.000002922438,0.00020848963,0.00039052468,0.000026345353],"category_scores_gemma":[0.0011011095,0.00019975162,0.00016950618,0.00027512622,0.00008510607,0.000005814179,0.00010270411,0.00006394581,0.000008667065],"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":[0.0007061764,0.000100908255,0.34071892,0.000027143466,0.00031368717,0.00000216247,0.000037343103,0.00034405425,0.60017675,0.00013444416,0.0011189772,0.056319423],"study_design_scores_gemma":[0.001267783,0.0003421425,0.87913644,0.00008021027,0.000079026046,0.000003079251,0.000025482223,0.0004155963,0.11246683,0.0041880817,0.001814797,0.00018052923],"about_ca_topic_score_codex":0.0006060946,"about_ca_topic_score_gemma":0.0014883034,"teacher_disagreement_score":0.5384175,"about_ca_system_score_codex":0.00013718253,"about_ca_system_score_gemma":0.00011429488,"threshold_uncertainty_score":0.8145635},"labels":[],"label_agreement":null},{"id":"W2160554882","doi":"10.1158/1055-9965.epi-06-0144","title":"Associations of Ki-<i>ras</i> Proto-oncogene Mutation and p53 Gene Overexpression in Sporadic Colorectal Adenomas with Demographic and Clinicopathologic Characteristics","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Dysplasia; Adenoma; Internal medicine; Mutation; Adenocarcinoma; Odds ratio; Colorectal adenoma; Gastroenterology; Carcinogenesis; Histology; Oncogene; Biology; Medicine; Colorectal cancer; Cancer research; Oncology; Pathology; Cancer; Gene; Cell cycle; Genetics","score_opus":0.03630261191878883,"score_gpt":0.33841849667445323,"score_spread":0.3021158847556644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160554882","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":[0.9919491,0.005270959,0.00043984593,0.0003933387,0.00014246987,0.0016387643,0.000076848664,0.000033244614,0.000055470085],"genre_scores_gemma":[0.99177694,0.00088658626,0.006351649,0.00011464292,0.00009806251,0.0004053778,0.0003097373,0.000024491314,0.0000325145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754757,0.0005644271,0.0008974701,0.0005291456,0.00014202223,0.00031936],"domain_scores_gemma":[0.99831975,0.00045178336,0.000834708,0.00017250673,0.00012727913,0.000093961164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013990897,0.00023268098,0.0007512214,0.00024855984,0.000073526375,0.0000051307134,0.000059041176,0.0003585859,0.000028239358],"category_scores_gemma":[0.00041984918,0.00019903587,0.00008231879,0.0003250527,0.0004459135,0.00008005377,0.000045771452,0.00021793983,5.736634e-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":[0.00090549665,0.00013032641,0.924749,0.00013018951,0.000082709244,0.000020420222,0.000049311635,0.000014562001,0.06880296,0.000028259132,0.00009886112,0.004987899],"study_design_scores_gemma":[0.0021845936,0.001040702,0.98604167,0.00058029406,0.00019866807,0.000113839924,0.000029490042,0.0003490085,0.0069819884,0.0022660592,0.000032812157,0.00018085339],"about_ca_topic_score_codex":0.00032843807,"about_ca_topic_score_gemma":0.00032800375,"teacher_disagreement_score":0.06182097,"about_ca_system_score_codex":0.00019198174,"about_ca_system_score_gemma":0.00018076145,"threshold_uncertainty_score":0.81164473},"labels":[],"label_agreement":null},{"id":"W2160822634","doi":"10.1158/1055-9965.epi-06-0446","title":"Interleukin-6-Related Genotypes, Body Mass Index, and Risk of Multiple Myeloma and Plasmacytoma","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada); inVentiv Health Clinical","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Odds ratio; Genotype; Single-nucleotide polymorphism; Body mass index; Population; Internal medicine; Multiple myeloma; Plasmacytoma; Medicine; SNP; Gastroenterology; Case-control study; Immunology; Oncology; Biology; Genetics; Gene","score_opus":0.01653238195455837,"score_gpt":0.28773793990523133,"score_spread":0.27120555795067297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160822634","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":[0.98265946,0.014625888,0.0010381,0.00045919986,0.0003085522,0.0005117125,0.000034539004,0.00006271372,0.00029982123],"genre_scores_gemma":[0.9945895,0.003262841,0.001407851,0.0000815747,0.00008618398,0.000048187732,0.00012503099,0.000028130671,0.00037069217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768347,0.00043602433,0.0009022757,0.00050487055,0.000100591904,0.0003727919],"domain_scores_gemma":[0.9984355,0.00049922214,0.00057425763,0.00025049644,0.00009150985,0.00014900809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009821038,0.0002605976,0.00071026926,0.00024070022,0.0000937614,0.000004694319,0.00007431117,0.0004076144,0.0000562009],"category_scores_gemma":[0.00045722976,0.00022744885,0.00015142397,0.00019988311,0.00043434082,0.00012354503,0.000060898685,0.000283048,0.000005166039],"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":[0.0008987809,0.00006191739,0.9698572,0.00011303224,0.00066114386,0.0000073882366,0.00004135772,0.0000051307893,0.012778537,0.00016261922,0.0017867186,0.013626153],"study_design_scores_gemma":[0.0031473336,0.00040395444,0.9830227,0.00019604055,0.00050059817,0.000037854486,0.000050799204,0.002669917,0.0031631866,0.0054705953,0.0011409703,0.0001960467],"about_ca_topic_score_codex":0.0019405115,"about_ca_topic_score_gemma":0.00030315245,"teacher_disagreement_score":0.013430106,"about_ca_system_score_codex":0.00009807049,"about_ca_system_score_gemma":0.0000766703,"threshold_uncertainty_score":0.9275095},"labels":[],"label_agreement":null},{"id":"W2160863882","doi":"10.1158/1055-9965.epi-06-1010","title":"Glioma Risk in Relation to Serum Levels of Insulin-Like Growth Factors","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"McGill University; Jewish General Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Glioma; Confidence interval; Odds ratio; Medicine; Internal medicine; Cancer; Oncology; Insulin; Case-control study; Endocrinology; Cancer research","score_opus":0.05843242268194222,"score_gpt":0.3552729038401087,"score_spread":0.29684048115816647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160863882","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":[0.9853439,0.0028293817,0.008215566,0.0010362247,0.0010326421,0.0009809289,0.00007634826,0.00007761234,0.00040741387],"genre_scores_gemma":[0.99572235,0.0004691982,0.0029307,0.00042958948,0.00013311567,0.000038806946,0.00007323222,0.000042010524,0.00016101627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960066,0.0006330351,0.0016990157,0.0006826141,0.00023879489,0.0007399353],"domain_scores_gemma":[0.99733096,0.0008995978,0.0007572108,0.00042765273,0.0002315212,0.00035305618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004603031,0.0003566537,0.00095488277,0.0010031741,0.000086680215,0.0000034550958,0.00017977707,0.0005837997,0.00017194856],"category_scores_gemma":[0.0023568722,0.0003239313,0.00032902628,0.001216899,0.00017844245,0.00023828687,0.000078360295,0.00044297994,0.000026877622],"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":[0.0010330441,0.00015906114,0.96626955,0.000100082536,0.00028362448,0.000012423849,0.00042466857,0.000016313366,0.010120476,0.00027784935,0.0009569857,0.020345917],"study_design_scores_gemma":[0.0019853911,0.0005857254,0.98243356,0.0003230809,0.00018977566,0.000009155784,0.00021259794,0.00007920066,0.009864039,0.0035491094,0.00049583835,0.00027254736],"about_ca_topic_score_codex":0.0012047442,"about_ca_topic_score_gemma":0.00048232693,"teacher_disagreement_score":0.02007337,"about_ca_system_score_codex":0.00048348482,"about_ca_system_score_gemma":0.00017895043,"threshold_uncertainty_score":0.99992126},"labels":[],"label_agreement":null},{"id":"W2161073463","doi":"10.1158/1055-9965.epi-13-0818","title":"A Genome-Wide Association Study of Renal Cell Carcinoma among African Americans","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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 of Alberta","funders":"National Cancer Institute; National Institutes of Health","keywords":"Renal cell carcinoma; Genome-wide association study; Association (psychology); Medicine; Biology; Oncology; Internal medicine; Genetics; Single-nucleotide polymorphism; Psychology; Gene; Genotype","score_opus":0.02239912866555013,"score_gpt":0.2934331173024772,"score_spread":0.27103398863692707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161073463","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":[0.99219817,0.0013742137,0.003469189,0.0010721296,0.00027347734,0.000963646,0.000017510962,0.000017135804,0.0006145252],"genre_scores_gemma":[0.9952313,0.00023862021,0.0013418532,0.00032598138,0.00017415351,0.0006183221,0.00019867833,0.000028361826,0.0018427642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99590224,0.0017610587,0.0009812416,0.0006507905,0.00012406489,0.00058058306],"domain_scores_gemma":[0.9973237,0.00042963334,0.0013677072,0.00046502455,0.00027012193,0.00014380607],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018627306,0.0002603731,0.00062054145,0.00012223978,0.00012680917,0.000006413797,0.0002828925,0.00038755336,0.00017606061],"category_scores_gemma":[0.0013091884,0.00025441046,0.00024935728,0.00023079365,0.00015590209,0.000011946479,0.00013510001,0.0001583993,0.000019148612],"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":[0.000045139055,0.00025191152,0.9690227,0.000013094923,0.00038594636,3.4952322e-7,0.00013001284,0.00035540588,0.016858492,0.0000015620103,0.011894502,0.001040879],"study_design_scores_gemma":[0.00087980396,0.00094707886,0.99416935,0.000008177559,0.00015310205,4.2435116e-7,0.0008670272,0.00014731006,0.00064619834,0.0005068977,0.0014382043,0.00023644422],"about_ca_topic_score_codex":0.003155679,"about_ca_topic_score_gemma":0.0009527681,"teacher_disagreement_score":0.025146628,"about_ca_system_score_codex":0.00020375905,"about_ca_system_score_gemma":0.00012410418,"threshold_uncertainty_score":0.9999908},"labels":[],"label_agreement":null},{"id":"W2161121182","doi":"10.1158/1055-9965.epi-04-0803","title":"Positive Correlation of Insulin-Like Growth Factor-II with Proliferating Cell Index in Patients with Colorectal Neoplasia","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Colorectal cancer; Medicine; Internal medicine; Hyperplastic Polyp; Proliferating cell nuclear antigen; Gastroenterology; Growth factor; Colonoscopy; Cancer; Endocrinology; Immunohistochemistry; Receptor","score_opus":0.011883192693936378,"score_gpt":0.26535735288104556,"score_spread":0.25347416018710917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161121182","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":[0.9946793,0.00069057994,0.0016586937,0.0005032714,0.0001759524,0.0018029042,0.00003074272,0.00004775828,0.00041080354],"genre_scores_gemma":[0.9964754,0.00008869422,0.0023946885,0.00028231466,0.000086729546,0.00017168242,0.00035894747,0.00004143709,0.00010012252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973072,0.00042650386,0.0009413615,0.00057571585,0.0002517081,0.0004975368],"domain_scores_gemma":[0.9981995,0.00028517423,0.00077490875,0.00021090476,0.00035906228,0.00017040031],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005604099,0.00035397868,0.00078663067,0.00035482724,0.00011796693,0.0000045958604,0.00010287611,0.0003682373,0.00005487952],"category_scores_gemma":[0.00019652289,0.0002709403,0.000117471296,0.0005168581,0.00023566814,0.0003676452,0.0000485318,0.00041008438,0.0000051588945],"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":[0.0061437064,0.0005438945,0.98570913,0.000090519505,0.00026905313,0.0000030068554,0.00052730396,0.000144158,0.00048989605,0.000035156325,0.00024102826,0.005803154],"study_design_scores_gemma":[0.0073486706,0.0031392223,0.98488,0.00047967912,0.00016830752,0.0000062674576,0.00007206031,0.0014221857,0.0020693375,0.000082178245,0.00005719744,0.0002749362],"about_ca_topic_score_codex":0.00030027886,"about_ca_topic_score_gemma":0.0003408545,"teacher_disagreement_score":0.0055282176,"about_ca_system_score_codex":0.00041627142,"about_ca_system_score_gemma":0.00031179155,"threshold_uncertainty_score":0.99997425},"labels":[],"label_agreement":null},{"id":"W2161131703","doi":"10.1158/1055-9965.epi-06-0776","title":"A Systematic Approach to Analysing Gene-Gene Interactions: Polymorphisms at the Microsomal Epoxide Hydrolase <i>EPHX</i> and Glutathione <i>S</i>-transferase <i>GSTM1, GSTT1</i>, and <i>GSTP1</i> Loci and Breast Cancer Risk","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"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":"Cancer Care Ontario; National Health and Medical Research Council; National Cancer Institute; National Institutes of Health; Huntsman Cancer Institute; Medical Research Council","keywords":"GSTP1; Genotype; Microsomal epoxide hydrolase; Odds ratio; Confidence interval; Confounding; Logistic regression; Genetics; Biology; Glutathione S-transferase; Population; Oncology; Internal medicine; Gene; Bioinformatics; Medicine; Glutathione; Epoxide hydrolase; Enzyme; Biochemistry","score_opus":0.01359675845653934,"score_gpt":0.2874118846875641,"score_spread":0.2738151262310248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161131703","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":[0.8939389,0.07546994,0.026426936,0.002215251,0.00029221934,0.0011478115,0.00044419518,0.00003201957,0.00003271393],"genre_scores_gemma":[0.97822994,0.015198106,0.002403303,0.002770799,0.00029769135,0.00039578544,0.0002904121,0.00006452023,0.0003494556],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99586827,0.0009829123,0.001078874,0.0011601925,0.0001591148,0.00075061637],"domain_scores_gemma":[0.9981889,0.00034469253,0.00039768984,0.0005306448,0.00010231337,0.00043576487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027616865,0.0005420777,0.0007718654,0.00016490497,0.00065642444,0.0000474944,0.0002013151,0.00033292625,0.000015091414],"category_scores_gemma":[0.00012245555,0.00042979085,0.0002697777,0.00027547125,0.00054433144,0.00003865458,0.00017863364,0.00026254967,0.0000028834431],"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":[0.0018485073,0.00015174305,0.064960934,0.0007946155,0.0016819667,0.00001204154,0.0003832383,0.00027368616,0.92374384,0.0000418583,0.00149012,0.00461743],"study_design_scores_gemma":[0.01552518,0.0017469401,0.36485836,0.005200748,0.011852414,0.010576508,0.0018843152,0.0046057208,0.5695297,0.0017064807,0.006881988,0.0056316485],"about_ca_topic_score_codex":0.0014143467,"about_ca_topic_score_gemma":0.0022301725,"teacher_disagreement_score":0.35421416,"about_ca_system_score_codex":0.000116862466,"about_ca_system_score_gemma":0.0000854998,"threshold_uncertainty_score":0.9998154},"labels":[],"label_agreement":null},{"id":"W2161505517","doi":"10.1158/1055-9965.1466.13.9","title":"Vitamin D, Calcium, and Mammographic Breast Densities","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Quebec Population Health Research Network; Centre hospitalier universitaire de Québec","funders":"National Cancer Institute; National Institutes of Health; Brown University","keywords":"Vitamin D and neurology; Medicine; Breast cancer; Calcium; Confidence interval; Odds ratio; Logistic regression; Vitamin; Dietary Reference Intake; Endocrinology; Internal medicine; Animal science; Cancer; Chemistry; Biology; Nutrient","score_opus":0.04587376665491928,"score_gpt":0.3512895941105285,"score_spread":0.30541582745560925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161505517","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":[0.9262485,0.035931032,0.0020872625,0.034293175,0.00046779533,0.0004837472,0.000048143982,0.000086237524,0.00035412278],"genre_scores_gemma":[0.9893156,0.0050684703,0.0030393929,0.0017734421,0.0002750148,0.00013158121,0.00009749509,0.000016013697,0.0002829401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988516,0.00011876773,0.00032680796,0.00033001712,0.00007406619,0.00029872515],"domain_scores_gemma":[0.9993961,0.00014496683,0.00011383295,0.00013180512,0.00007834947,0.0001349895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054263376,0.00015367799,0.00040056003,0.00010519586,0.00014138022,0.000003644291,0.000035078738,0.00014919965,0.00006298063],"category_scores_gemma":[0.00008955901,0.00013275402,0.00015860298,0.00013386976,0.00038097557,0.00006019309,0.000043112097,0.000111421235,0.00000941702],"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":[0.0010318852,0.00021246883,0.9544638,0.00028650335,0.0010153475,0.000034927838,0.000051837247,0.000007800385,0.0020365727,0.006686417,0.014713691,0.01945879],"study_design_scores_gemma":[0.0023931472,0.0002235722,0.96143466,0.0004447286,0.00023616284,0.00030493314,0.00016871789,0.000013251891,0.00009455242,0.031273052,0.0032596416,0.0001535794],"about_ca_topic_score_codex":0.000574995,"about_ca_topic_score_gemma":0.00023357071,"teacher_disagreement_score":0.06306717,"about_ca_system_score_codex":0.00012293553,"about_ca_system_score_gemma":0.000057211626,"threshold_uncertainty_score":0.5413552},"labels":[],"label_agreement":null},{"id":"W2161836295","doi":"10.1158/1055-9965.epi-07-2636","title":"Predictors of Mammographic Density: Insights Gained from a Novel Regression Analysis of a Twin Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Cancer Care Ontario; Robarts Clinical Trials; Women's College Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Medical Research Council; National Health and Medical Research Council","keywords":"Covariate; Confounding; Twin study; Regression analysis; Demography; Parity (physics); Statistics; Body mass index; Regression; MAMMOGRAPHIC DENSITY; Menarche; Medicine; Mathematics; Breast cancer; Heritability; Biology; Cancer; Mammography; Internal medicine","score_opus":0.05579599589083832,"score_gpt":0.34329673321579374,"score_spread":0.2875007373249554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161836295","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":[0.99219817,0.003586056,0.0029791077,0.00021611611,0.00023242399,0.0005471331,0.000047135185,0.000045587974,0.00014827453],"genre_scores_gemma":[0.9980529,0.00033458992,0.0010953066,0.00008886859,0.00007008055,0.000048761893,0.00023030593,0.00001463949,0.00006452903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976031,0.00041472603,0.0009949515,0.0005111189,0.00022118879,0.00025490217],"domain_scores_gemma":[0.99798846,0.0004397085,0.0007691147,0.0004662229,0.00019163259,0.00014487065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074959686,0.0002276907,0.0012764006,0.0013055312,0.000064782405,0.0000016809537,0.000129558,0.00016592022,0.00006548102],"category_scores_gemma":[0.00032261145,0.00017843762,0.0008171541,0.0020965345,0.00047061645,0.00014178421,0.000054813827,0.00013832521,5.5241856e-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":[0.0011516399,0.0009904758,0.9742933,0.000040227842,0.012376739,0.000016345057,0.0003934859,0.000020097023,0.0066427146,0.000015044896,0.0005523588,0.0035075934],"study_design_scores_gemma":[0.0019958653,0.0004870603,0.98928344,0.00040995996,0.005452814,0.000011364193,0.00025281668,0.0007990441,0.0007205068,0.00040542407,0.0000501689,0.0001315555],"about_ca_topic_score_codex":0.0012095455,"about_ca_topic_score_gemma":0.0002035085,"teacher_disagreement_score":0.014990143,"about_ca_system_score_codex":0.000052369895,"about_ca_system_score_gemma":0.0001055565,"threshold_uncertainty_score":0.7276475},"labels":[],"label_agreement":null},{"id":"W2162040036","doi":"10.1158/1055-9965.epi-07-2547","title":"A Pilot Study of Compositional Analysis of the Breast and Estimation of Breast Mammographic Density Using Three-Dimensional T1-Weighted Magnetic Resonance Imaging","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"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":"Cancer Research UK","keywords":"Magnetic resonance imaging; Breast cancer; MAMMOGRAPHIC DENSITY; Mammography; Breast density; Medicine; Breast MRI; Nuclear medicine; Radiology; Cancer; Internal medicine","score_opus":0.035385293085850346,"score_gpt":0.3086192407959697,"score_spread":0.27323394771011933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162040036","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":[0.99213076,0.005389722,0.0015273587,0.00028558355,0.000085746324,0.0004600783,0.000093923976,0.00001347588,0.00001336724],"genre_scores_gemma":[0.9976655,0.00003398899,0.0021589932,0.00004652882,0.00001585882,0.000014085114,0.000050842857,0.00000963435,0.000004551814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805987,0.00039612048,0.0007698538,0.000343348,0.00023250532,0.00019829841],"domain_scores_gemma":[0.99846834,0.00029787913,0.00062641397,0.00027773215,0.00026180697,0.00006783692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007349968,0.00017167513,0.0007132299,0.00056917145,0.00012265942,0.0000020028672,0.00009184839,0.00003960332,0.00002353874],"category_scores_gemma":[0.000049103015,0.00013528869,0.0002906818,0.0014130712,0.0008576126,0.00013483972,0.00006690642,0.00011178458,7.8677864e-8],"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":[0.0011542797,0.0007930071,0.97557867,0.0000647785,0.001041998,0.0000040505815,0.00004387944,0.00041900625,0.0053247497,0.00004664202,0.000026154394,0.015502815],"study_design_scores_gemma":[0.0012786026,0.00036518107,0.93372625,0.0004794894,0.002232569,0.0006486613,0.000028039336,0.060361896,0.000104996,0.00068059604,3.2605914e-7,0.00009337956],"about_ca_topic_score_codex":0.0018365574,"about_ca_topic_score_gemma":0.00031007946,"teacher_disagreement_score":0.05994289,"about_ca_system_score_codex":0.000046290705,"about_ca_system_score_gemma":0.00009839772,"threshold_uncertainty_score":0.5516913},"labels":[],"label_agreement":null},{"id":"W2162602227","doi":"10.1158/1055-9965.epi-06-0270","title":"The Prevalence of <i>CDKN2A</i> Germ-Line Mutations and Relative Risk for Cutaneous Malignant Melanoma: An International Population-Based Study","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Women's College Hospital; BC Cancer Agency; Kindercare Pediatrics","funders":"National Cancer Institute","keywords":"CDKN2A; Melanoma; Relative risk; Odds ratio; Population; Medicine; Confidence interval; Oncology; Internal medicine; Demography; Cancer; Cancer research; Environmental health","score_opus":0.03013113762528642,"score_gpt":0.3516105925600769,"score_spread":0.32147945493479047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162602227","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":[0.9783083,0.001450711,0.0150817,0.001810667,0.0006934815,0.0023449403,0.00012886242,0.00005934811,0.00012196703],"genre_scores_gemma":[0.9944125,0.00026213445,0.002603851,0.00008168049,0.00014421176,0.00041124705,0.00021496738,0.00001738396,0.0018520307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980485,0.00049859146,0.00070895744,0.0004108373,0.00012793808,0.00020521076],"domain_scores_gemma":[0.9978414,0.0010006304,0.0006429418,0.0002752944,0.00017674532,0.00006294717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236757,0.00015668932,0.00030002004,0.00012699529,0.0002575604,0.000009181419,0.00010211648,0.00009462241,0.000046599085],"category_scores_gemma":[0.0005225392,0.000119495846,0.0001327926,0.000111200825,0.0001273987,0.00009352156,0.000026387528,0.00010185392,0.0000012901924],"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":[0.001426847,0.00041876416,0.9767889,0.0001362033,0.00058181863,0.000009908084,0.00007047612,0.000844076,0.00040086647,0.001182,0.00027158333,0.017868575],"study_design_scores_gemma":[0.002253927,0.0015556351,0.9668491,0.000119620534,0.001148201,0.00006240202,0.00019264226,0.01603676,0.00013925259,0.009827749,0.0016471337,0.00016759257],"about_ca_topic_score_codex":0.0011149185,"about_ca_topic_score_gemma":0.0014269882,"teacher_disagreement_score":0.017700981,"about_ca_system_score_codex":0.00015712214,"about_ca_system_score_gemma":0.000058575624,"threshold_uncertainty_score":0.4872899},"labels":[],"label_agreement":null},{"id":"W2162832987","doi":"10.1158/1055-9965.epi-13-0391","title":"Biomarker-Based Ovarian Carcinoma Typing: A Histologic Investigation in the Ovarian Tumor Tissue Analysis Consortium","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":79,"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; University of British Columbia; Alberta Health Services","funders":"National Center for Research Resources; National Cancer Institute; Mayo Clinic","keywords":"Medicine; Tissue microarray; Serous carcinoma; Ovarian carcinoma; Concordance; Immunohistochemistry; Oncology; Serous fluid; Carcinoma; Biomarker; Pathology; Internal medicine; Ovarian cancer; Cancer; Biology","score_opus":0.08399486586195487,"score_gpt":0.35850813211239885,"score_spread":0.274513266250444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162832987","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":[0.8909306,0.010460272,0.00481963,0.08845913,0.00073462067,0.003518743,0.000031504384,0.00012491886,0.00092056656],"genre_scores_gemma":[0.9872617,0.00011344177,0.0038814698,0.0056943297,0.000113918104,0.0023090336,0.00042695785,0.000025049438,0.00017409085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99555063,0.0017714807,0.0010505652,0.00085284875,0.00016806481,0.0006064176],"domain_scores_gemma":[0.9974347,0.00084216584,0.00060892926,0.00075451855,0.00014548156,0.00021422213],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022497019,0.0003666805,0.0009447212,0.0006201123,0.00016268947,0.000025782547,0.00023618348,0.00028236766,0.0013629392],"category_scores_gemma":[0.0005071289,0.00026459666,0.00040866953,0.0014268887,0.00039900193,0.0001501003,0.000034991866,0.00025655382,0.00007693601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021618982,0.00026259126,0.97494364,0.00007840345,0.0012890566,0.00004137508,0.00012271061,0.000060247843,0.0005618036,0.0006708767,0.008920033,0.0128330765],"study_design_scores_gemma":[0.0023736241,0.00030275376,0.9833705,0.00014815986,0.0021103271,0.00002479205,0.000121353194,0.004662708,0.00024997152,0.003518136,0.0028693553,0.00024833903],"about_ca_topic_score_codex":0.0080927955,"about_ca_topic_score_gemma":0.0014829066,"teacher_disagreement_score":0.0963311,"about_ca_system_score_codex":0.00073609815,"about_ca_system_score_gemma":0.00043849277,"threshold_uncertainty_score":0.9999806},"labels":[],"label_agreement":null},{"id":"W2162899192","doi":"10.1158/1055-9965.epi-06-0580","title":"No Association between Serum Insulin-Like Growth Factor (IGF)-I, IGF-Binding Protein-3, and Lung Cancer Risk","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"McGill University; Jewish General Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Lung cancer; Insulin-like growth factor; Internal medicine; Association (psychology); Risk factor; Growth factor; Insulin-like growth factor-binding protein; Medicine; Insulin-like growth factor 2; Endocrinology; Cancer; Insulin; Cancer research; Oncology; Receptor; Psychology","score_opus":0.024159912481659596,"score_gpt":0.3157140285218037,"score_spread":0.2915541160401441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162899192","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":[0.9798424,0.012485978,0.000694909,0.0029452217,0.0011740079,0.0017453035,0.00034682636,0.00022194018,0.0005433981],"genre_scores_gemma":[0.9864704,0.0040246323,0.0012484271,0.0004888148,0.0013461536,0.0005160634,0.00044368114,0.00008742525,0.005374412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952361,0.0010415381,0.0013590908,0.0009990488,0.00033743287,0.0010268118],"domain_scores_gemma":[0.99666595,0.0007434381,0.0014188347,0.000359086,0.00048518664,0.00032751294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002147422,0.0005451927,0.0011884926,0.0003586179,0.00038096454,0.000028331448,0.00017837863,0.00087350013,0.00026519192],"category_scores_gemma":[0.0017011573,0.0005041032,0.00037005413,0.00045787543,0.00017994987,0.00043404027,0.00011239055,0.00072815904,0.000050863284],"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":[0.00027848213,0.000080495935,0.9694808,0.0002835727,0.0013153803,0.0000045380552,0.000055250657,0.0000017499808,0.0055761626,0.000064125226,0.017078614,0.0057808193],"study_design_scores_gemma":[0.0027884287,0.00029986622,0.98622614,0.0005495812,0.0011888942,0.000003937925,0.000024968494,0.00029996905,0.0026837674,0.0015470518,0.003880814,0.00050658174],"about_ca_topic_score_codex":0.0045151054,"about_ca_topic_score_gemma":0.00040259774,"teacher_disagreement_score":0.01674533,"about_ca_system_score_codex":0.0016280725,"about_ca_system_score_gemma":0.00035191322,"threshold_uncertainty_score":0.9997411},"labels":[],"label_agreement":null},{"id":"W2163001643","doi":"10.1158/1055-9965.epi-07-0565","title":"Association of Single Nucleotide Polymorphisms in Glycosylation Genes with Risk of Epithelial Ovarian Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","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":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Single-nucleotide polymorphism; Glycosylation; Epithelial ovarian cancer; Gene; Ovarian cancer; Genetics; Biology; Association (psychology); Cancer; Oncology; Medicine; Genotype; Psychology","score_opus":0.025404850721612676,"score_gpt":0.29836770104670973,"score_spread":0.27296285032509704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163001643","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":[0.98483,0.008532599,0.0048358333,0.00071148213,0.00049021555,0.00035981572,0.00013334489,0.000010457056,0.000096256575],"genre_scores_gemma":[0.98821384,0.0059230174,0.0048673614,0.000074764335,0.00023220366,0.00015768346,0.0001470992,0.000028281058,0.00035577398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977303,0.00069382007,0.00071570475,0.0004328523,0.00013722514,0.00029009164],"domain_scores_gemma":[0.9980965,0.00013800574,0.0012085257,0.00029650785,0.00021265281,0.000047810827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011124967,0.00018295702,0.00040190754,0.00014945217,0.00006854747,0.0000016548366,0.00015096272,0.00031574,0.0000732617],"category_scores_gemma":[0.00032593758,0.00017705665,0.0001463455,0.00027876048,0.00022357887,0.000016463651,0.000043553555,0.00010079269,0.0000014264979],"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":[0.00052134343,0.00008597336,0.7295156,0.00002067903,0.00048957404,6.1454716e-7,0.00007842301,0.0021197884,0.25670397,0.000013342829,0.000787,0.009663684],"study_design_scores_gemma":[0.0016828264,0.00036413345,0.7771568,0.0001232975,0.00018612116,0.000005086338,0.000030598767,0.00027643333,0.21697111,0.0005988082,0.0023785508,0.00022627172],"about_ca_topic_score_codex":0.00235801,"about_ca_topic_score_gemma":0.0048177047,"teacher_disagreement_score":0.04764115,"about_ca_system_score_codex":0.0003776261,"about_ca_system_score_gemma":0.00038464912,"threshold_uncertainty_score":0.72201604},"labels":[],"label_agreement":null},{"id":"W2163407319","doi":"10.1158/1055-9965.epi-13-0869","title":"Predictors of the Occurrence of Smoking Discontinuation in Novice Adolescent Smokers","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","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":"Université de Montréal; Institut National de Santé Publique du Québec","funders":"","keywords":"Discontinuation; Medicine; Context (archaeology); Confidence interval; Demography; Psychosocial; Confounding; Logistic regression; Overweight; Smoking cessation; Odds ratio; Internal medicine; Body mass index; Psychiatry","score_opus":0.05244048095396151,"score_gpt":0.3635583108934513,"score_spread":0.3111178299394898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163407319","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":[0.9953813,0.00042991343,0.0018677751,0.00089623325,0.00086551585,0.00043254817,0.000010732441,0.000014414323,0.000101567144],"genre_scores_gemma":[0.9995016,0.000104477695,0.00007809436,0.00012490318,0.000057074707,0.000049279206,0.0000514141,0.000006941873,0.000026218604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980974,0.0005961028,0.00070355413,0.00025373002,0.00016028264,0.00018892542],"domain_scores_gemma":[0.9986873,0.00022629806,0.00065667985,0.00029646067,0.00009456954,0.000038651207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002161585,0.00011590093,0.0003758767,0.00012729589,0.00003106076,0.000001226502,0.00012114292,0.00016636691,0.00003549848],"category_scores_gemma":[0.0007842625,0.000086810636,0.00016226462,0.0002999626,0.0002211248,0.000072212795,0.00003581912,0.00017202608,2.2511139e-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":[0.00013083193,0.00011257759,0.9735194,0.00010957157,0.000061924846,9.4640036e-8,0.000118518285,0.00005346698,0.0018192922,0.00010260572,0.0003784342,0.023593305],"study_design_scores_gemma":[0.0009483181,0.00010323275,0.993067,0.0011958526,0.00022721903,0.000001417848,0.00007707408,0.0003234737,0.0034971999,0.00030486519,0.00018579136,0.000068515335],"about_ca_topic_score_codex":0.00033805522,"about_ca_topic_score_gemma":0.00013200134,"teacher_disagreement_score":0.023524791,"about_ca_system_score_codex":0.00015495539,"about_ca_system_score_gemma":0.00009508371,"threshold_uncertainty_score":0.3540035},"labels":[],"label_agreement":null},{"id":"W2164331910","doi":"10.1158/1055-9965.epi-07-2647","title":"<i>NAT2*7</i> Allele Is a Potential Risk Factor for Adult Brain Tumors in Taiwanese Population","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":"Immunovaccine (Canada)","funders":"","keywords":"Odds ratio; Genotype; Allele; Internal medicine; Confidence interval; Genotyping; Risk factor; Oncology; Astrocytoma; Case-control study; Allele frequency; Medicine; Gastroenterology; Biology; Genetics; Glioma; Gene","score_opus":0.030707666640594225,"score_gpt":0.3392071871333878,"score_spread":0.3084995204927936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164331910","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":[0.965001,0.006785587,0.025169458,0.0016767073,0.0003697976,0.0007455728,0.00019728311,0.000020069221,0.000034565197],"genre_scores_gemma":[0.99048865,0.0031140647,0.0035063452,0.00096042495,0.00031143063,0.0002530556,0.0008722031,0.00003550637,0.00045833774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975554,0.0005870937,0.00068048184,0.0006581028,0.000092963695,0.00042598884],"domain_scores_gemma":[0.9988487,0.00010862588,0.00045778442,0.0003075438,0.00017662767,0.00010072356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000899303,0.00023691755,0.0003539313,0.000117937074,0.00016585519,0.0000053237054,0.0001525491,0.00035726232,0.000049616567],"category_scores_gemma":[0.0010711708,0.00024216852,0.00027686064,0.00012873649,0.00010846133,0.000013800177,0.000050787854,0.00012048644,0.000004161464],"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":[0.000987849,0.00015074914,0.8295466,0.00006846032,0.0002888298,0.0000038116018,0.00016963936,0.001168852,0.103832155,0.00005285587,0.009121823,0.054608382],"study_design_scores_gemma":[0.002679209,0.00056180044,0.9518465,0.00005954355,0.00006175461,0.000008794418,0.000046383437,0.0034140316,0.02543476,0.007403709,0.00795312,0.00053041184],"about_ca_topic_score_codex":0.0007195472,"about_ca_topic_score_gemma":0.00095896056,"teacher_disagreement_score":0.12229989,"about_ca_system_score_codex":0.00007667531,"about_ca_system_score_gemma":0.00009426533,"threshold_uncertainty_score":0.9875346},"labels":[],"label_agreement":null},{"id":"W2164603596","doi":"10.1158/1055-9965.epi-10-0815","title":"Sedentary Behavior and Cancer: A Systematic Review of the Literature and Proposed Biological Mechanisms","year":2010,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","cited_by":371,"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 Health Services","funders":"","keywords":"Medicine; Prostate cancer; Cancer; Colorectal cancer; Sedentary lifestyle; Sedentary behavior; Gerontology; Physical activity; Physical therapy; Internal medicine","score_opus":0.10976480375699081,"score_gpt":0.44387431651598147,"score_spread":0.33410951275899065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164603596","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":[0.00034629498,0.9911535,0.00002279937,0.0014053407,0.00042105245,0.0064781522,0.00014313223,0.00002255152,0.0000072191024],"genre_scores_gemma":[0.00009102573,0.99710226,0.00030684937,0.0008860699,0.00012079886,0.0012085659,0.00015366182,0.0000230858,0.000107682405],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99556804,0.002203728,0.001209121,0.0005929313,0.00012371526,0.00030246077],"domain_scores_gemma":[0.99716616,0.0006509153,0.0014555741,0.00046601606,0.00009042496,0.00017090887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020102973,0.00040180935,0.0045004394,0.00008227786,0.00010686886,0.0000050585113,0.00017280405,0.00079925294,0.000038152833],"category_scores_gemma":[0.00070049823,0.00020453769,0.0006465173,0.0002733883,0.00037985216,0.000058420428,0.00013806143,0.000895978,0.0000011694572],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024275401,0.00012392188,0.00021328412,0.8418219,0.000400949,0.0000031123425,0.000016165239,9.247698e-10,0.000034298497,0.00023321867,0.00020374403,0.15692511],"study_design_scores_gemma":[0.00029430716,0.00027614564,0.0006248654,0.9743803,0.00926954,0.0001831745,0.0000043998925,0.0000017311779,0.000006875942,0.0018290646,0.012925557,0.00020403313],"about_ca_topic_score_codex":0.000086559754,"about_ca_topic_score_gemma":0.00003922188,"teacher_disagreement_score":0.15672109,"about_ca_system_score_codex":0.00014769283,"about_ca_system_score_gemma":0.00039826427,"threshold_uncertainty_score":0.83408046},"labels":[],"label_agreement":null},{"id":"W2164615447","doi":"10.1158/1055-9965.epi-08-0689","title":"Two Estrogen-Related Variants in <i>CYP19A1</i> and Endometrial Cancer Risk: A Pooled Analysis in the Epidemiology of Endometrial Cancer Consortium","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Institutes of Health","keywords":"Endometrial cancer; Epidemiology; Estrogen; Oncology; Gynecology; Medicine; Epidemiology of cancer; Cancer; Internal medicine; Biology; Breast cancer","score_opus":0.022810462542363553,"score_gpt":0.3517728284384104,"score_spread":0.3289623658960468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164615447","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":[0.8533137,0.1430834,0.0006504343,0.001285119,0.0005882407,0.00090841675,0.000093654744,0.000012996569,0.00006403816],"genre_scores_gemma":[0.96366954,0.03448059,0.00053724786,0.00050856447,0.0002341379,0.00031132108,0.00019316124,0.000019684969,0.000045751145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9904545,0.0059528374,0.001699234,0.0009738844,0.0001317593,0.00078778696],"domain_scores_gemma":[0.9962776,0.0017376338,0.0012542121,0.00050099037,0.00008763404,0.00014193694],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007880872,0.00040972192,0.0014172216,0.0008198857,0.00010072795,0.000005452675,0.00037913898,0.00078987016,0.00006339979],"category_scores_gemma":[0.0036460555,0.00031829745,0.00056560175,0.002016315,0.0004409811,0.000019595715,0.00008407413,0.00054274104,0.0000015045571],"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":[0.0025362985,0.00021846878,0.94641256,0.000020479021,0.0037579099,0.000010815323,0.0000895138,0.0035450163,0.02089972,0.00044656193,0.0003860069,0.021676619],"study_design_scores_gemma":[0.013914695,0.0011187214,0.96922916,0.00018959377,0.0035494738,0.000024659299,0.000095930445,0.0021731753,0.0043240204,0.004310008,0.00047173523,0.0005988076],"about_ca_topic_score_codex":0.0053218855,"about_ca_topic_score_gemma":0.002061265,"teacher_disagreement_score":0.11035584,"about_ca_system_score_codex":0.00012480191,"about_ca_system_score_gemma":0.00026883624,"threshold_uncertainty_score":0.9999269},"labels":[],"label_agreement":null},{"id":"W2164673602","doi":"10.1158/1055-9965.epi-09-0363","title":"Cyclooxygenase-2 Polymorphisms, Aspirin Treatment, and Risk for Colorectal Adenoma Recurrence—Data from a Randomized Clinical Trial","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","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":"Health Sciences Centre; Public Health Ontario; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Aspirin; Colorectal adenoma; Medicine; Internal medicine; Colorectal cancer; Relative risk; Gastroenterology; Adenoma; Single-nucleotide polymorphism; Minor allele frequency; Placebo; Cyclooxygenase; Randomized controlled trial; Proportional hazards model; Oncology; Confidence interval; Cancer; Pathology; Genotype; Biology; Genetics","score_opus":0.1356094444407503,"score_gpt":0.4458268165072908,"score_spread":0.3102173720665405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164673602","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":[0.96375966,0.02352712,0.0028575808,0.0019231074,0.0023674944,0.0050560404,0.000375054,0.00008618091,0.000047778158],"genre_scores_gemma":[0.9401776,0.03449389,0.011082492,0.0011116483,0.0057322606,0.0019931209,0.0049194274,0.000066195666,0.00042333454],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9933482,0.003614021,0.0014354462,0.0010185639,0.0000916036,0.0004921894],"domain_scores_gemma":[0.99125534,0.0067993165,0.00092468405,0.00061802525,0.000065472464,0.0003371623],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008780105,0.0003563924,0.0020348618,0.0001226953,0.00015888161,0.000009860159,0.00017850214,0.0005307374,0.000102880185],"category_scores_gemma":[0.0068468875,0.00026783472,0.00059095275,0.00010363468,0.000435495,0.00012985812,0.000048715083,0.00023632192,0.000014500321],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.64676696,0.00034240837,0.08825696,0.0000226931,0.0018175956,0.000010694423,0.000045255074,3.809281e-7,0.00019895365,0.000055702334,0.008263527,0.25421885],"study_design_scores_gemma":[0.7922933,0.0063620917,0.17567368,0.0003695365,0.004252725,0.000016788814,0.00002019695,0.0056868913,0.00026063682,0.008152102,0.0064987005,0.00041336866],"about_ca_topic_score_codex":0.0005608025,"about_ca_topic_score_gemma":0.00026000422,"teacher_disagreement_score":0.2538055,"about_ca_system_score_codex":0.00015881119,"about_ca_system_score_gemma":0.00033956824,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W2164971734","doi":"10.1158/1055-9965.epi-06-0378","title":"Reproducibility and Expression of Skin Biomarkers in Sun-Damaged Skin and Actinic Keratoses","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Spermidine; Putrescine; Actinic keratosis; Polyamine; Lesion; Proliferating cell nuclear antigen; Skin cancer; Medicine; Dermatology; Pathology; Chemistry; Cancer; Basal cell; Immunohistochemistry; Internal medicine; Enzyme; Biochemistry","score_opus":0.02313806879871462,"score_gpt":0.3343218596810466,"score_spread":0.311183790882332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164971734","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":[0.9757791,0.022515241,0.0007196551,0.00036975872,0.00007639763,0.0003783716,0.0000280776,0.00000830723,0.0001251045],"genre_scores_gemma":[0.9954382,0.0020182703,0.0018842604,0.00005075292,0.000110757326,0.00013700812,0.00018241914,0.00001358248,0.00016475817],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99745655,0.0006481521,0.00058065186,0.0010130601,0.00004763378,0.00025393334],"domain_scores_gemma":[0.9987727,0.00012952379,0.0003156283,0.00067657465,0.000045618828,0.000059946513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024167944,0.0001797846,0.00035240958,0.00009649989,0.00006438603,0.0000045823176,0.00010709844,0.00022915023,0.000019192612],"category_scores_gemma":[0.0005179716,0.00016301833,0.00010024067,0.00015444637,0.00035794938,0.0000130622975,0.00012537526,0.00008272252,6.1462083e-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":[0.00021404811,0.00009251338,0.46625996,0.000043555454,0.0000686261,2.7222933e-7,0.0000145973245,0.000009604422,0.5137399,0.00006816238,0.002124624,0.017364172],"study_design_scores_gemma":[0.0007226416,0.00006832361,0.81174266,0.0000522106,0.0000367763,0.000004828125,0.000035332516,0.00003953832,0.18263084,0.0026062697,0.0019098667,0.00015071087],"about_ca_topic_score_codex":0.0009196789,"about_ca_topic_score_gemma":0.0005961309,"teacher_disagreement_score":0.3454827,"about_ca_system_score_codex":0.00001958219,"about_ca_system_score_gemma":0.00006289719,"threshold_uncertainty_score":0.6647695},"labels":[],"label_agreement":null},{"id":"W2165092273","doi":"10.1158/1055-9965.epi-09-1094","title":"Tobacco Research Methodology: First Things First","year":2009,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Worry; Life expectancy; Medicine; Tobacco control; Public health; Demography; Population; Mental illness; Substance abuse; Psychiatry; Mental health; Psychology; Environmental health; Anxiety","score_opus":0.27099674958299746,"score_gpt":0.5109378432742429,"score_spread":0.2399410936912454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165092273","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":[0.0055188485,0.016363584,0.0019488288,0.019914834,0.952388,0.002254574,0.00008996821,0.00039579291,0.0011255962],"genre_scores_gemma":[0.0038931002,0.024124587,0.008179253,0.0010973277,0.94200885,0.0016342226,0.006656919,0.00024368183,0.012162081],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9908549,0.0040640873,0.0014621979,0.0016053236,0.0007933513,0.0012201244],"domain_scores_gemma":[0.9855617,0.011113913,0.00093570154,0.0010985542,0.000974018,0.00031610383],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.023171889,0.00060461496,0.0018210155,0.0007966157,0.00060609047,0.000028234408,0.0005172661,0.0044100042,0.00072659855],"category_scores_gemma":[0.018449893,0.0005618361,0.00069368735,0.0006489024,0.00063557166,0.00023921825,0.00016818232,0.0030513727,0.000052508007],"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":[0.0008743555,0.00014289131,0.051156707,0.0003061088,0.0005453717,0.000025825017,0.000168177,0.000003212812,0.000029684195,0.00007776648,0.9195091,0.027160779],"study_design_scores_gemma":[0.0016973433,0.00075051235,0.07754693,0.0025591,0.0011316554,0.000014925268,0.00009655798,0.000017770848,0.00006596923,0.0066914144,0.9089522,0.0004756145],"about_ca_topic_score_codex":0.0029073183,"about_ca_topic_score_gemma":0.0011553937,"teacher_disagreement_score":0.026685165,"about_ca_system_score_codex":0.001886429,"about_ca_system_score_gemma":0.0010501306,"threshold_uncertainty_score":0.9996833},"labels":[],"label_agreement":null},{"id":"W2165334809","doi":"10.1158/1055-9965.epi-09-0056","title":"Absence of Deleterious Palladin Mutations in Patients with Familial Pancreatic Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; Rolfe Pancreatic Cancer Foundation; Lustgarten Foundation; V Foundation for Cancer Research","keywords":"Pancreatic cancer; Germline mutation; Biology; Germline; Genetics; Gene; Mutation; Cancer; Pancreas; Cancer research; Endocrinology","score_opus":0.014928872655306794,"score_gpt":0.30045097203998006,"score_spread":0.28552209938467327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165334809","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":[0.9930125,0.0041630506,0.0016591755,0.0003820547,0.00021702958,0.00041277052,0.00007700805,0.000007012019,0.00006943829],"genre_scores_gemma":[0.9955039,0.00197562,0.0015076734,0.00045782304,0.00008711311,0.000109691886,0.00028765987,0.000013807781,0.000056697572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998601,0.00016396123,0.00047099072,0.00039401627,0.00007010345,0.0002999212],"domain_scores_gemma":[0.99918705,0.00007595912,0.00030338066,0.00025424655,0.00010784241,0.000071495044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003078014,0.00017262984,0.00032408608,0.00008149793,0.000041476058,0.0000035981857,0.00014005754,0.00016701325,0.000027175807],"category_scores_gemma":[0.00019704894,0.00016031528,0.00009030843,0.00014273282,0.00014337842,0.0000072302046,0.0000278131,0.00007237737,0.0000012406343],"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":[0.0006969769,0.0001310698,0.9561484,0.000023419732,0.00014254506,9.781337e-7,0.000037139594,0.0010956792,0.009142731,0.000072740855,0.0008828133,0.031625517],"study_design_scores_gemma":[0.0016453363,0.0007330765,0.99336475,0.00014332893,0.00006228764,7.124295e-7,0.000017846964,0.00012437519,0.0019779294,0.0011529571,0.00057285884,0.00020452705],"about_ca_topic_score_codex":0.00059483934,"about_ca_topic_score_gemma":0.0015805693,"teacher_disagreement_score":0.037216377,"about_ca_system_score_codex":0.00009652683,"about_ca_system_score_gemma":0.00018761886,"threshold_uncertainty_score":0.6537467},"labels":[],"label_agreement":null},{"id":"W2165399212","doi":"10.1158/1055-9965.epi-06-0865","title":"Vitamin D and Reduced Risk of Breast Cancer: A Population-Based Case-Control Study","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Breast cancer; Medicine; Quartile; Odds ratio; Confidence interval; Confounding; Case-control study; Population; Cancer registry; Cancer; Vitamin D and neurology; Logistic regression; Demography; Internal medicine; Oncology; Gynecology; Environmental health","score_opus":0.035002225518373176,"score_gpt":0.39412886433437533,"score_spread":0.35912663881600215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165399212","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":[0.98735166,0.0064282166,0.001759524,0.0022032931,0.0002782516,0.0017230272,0.00018501714,0.00004753446,0.0000234766],"genre_scores_gemma":[0.99784994,0.0005674984,0.00084531447,0.00013599759,0.00016662035,0.00027292816,0.000022052722,0.000024054341,0.00011560147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99667954,0.0012026415,0.0008785597,0.0005442134,0.00018824716,0.0005067848],"domain_scores_gemma":[0.9968214,0.0017971183,0.0005741926,0.00034627528,0.00025448957,0.00020654382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061266557,0.00023772736,0.0008486104,0.000320113,0.00018942871,0.000003201802,0.000075959986,0.00018622399,0.000118818454],"category_scores_gemma":[0.0015828353,0.0001951513,0.00018251594,0.00032203048,0.00028889877,0.00007238995,0.000045224064,0.00025630303,0.0000014005466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012299417,0.00027610268,0.92393094,0.0001614066,0.0015985412,0.000103014776,0.00010966688,0.000035728342,0.0014303654,0.0000068630384,0.0005158026,0.07060162],"study_design_scores_gemma":[0.0049374527,0.00054850586,0.9910689,0.00030169575,0.0010500896,0.0001630025,0.00051360496,0.0009544954,0.00010512423,0.00019119392,0.000014253785,0.00015168649],"about_ca_topic_score_codex":0.008780038,"about_ca_topic_score_gemma":0.004888612,"teacher_disagreement_score":0.07044993,"about_ca_system_score_codex":0.00034387902,"about_ca_system_score_gemma":0.00016441692,"threshold_uncertainty_score":0.99782056},"labels":[],"label_agreement":null},{"id":"W2165722018","doi":"10.1158/1055-9965.epi-14-0410","title":"Attribution of 12 High-Risk Human Papillomavirus Genotypes to Infection and Cervical Disease","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec; University of British Columbia","funders":"Cancer Research UK","keywords":"Medicine; Incidence (geometry); Cumulative incidence; Cervical intraepithelial neoplasia; HPV infection; Internal medicine; Cervical cancer; Genotype; Human papillomavirus; Placebo; Disease; Intraepithelial neoplasia; Gynecology; Gastroenterology; Cancer; Pathology; Cohort; Biology","score_opus":0.06283463570838052,"score_gpt":0.4045929138763826,"score_spread":0.3417582781680021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165722018","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":[0.9786262,0.0027236685,0.014393859,0.0029833494,0.00027923012,0.00068909256,0.000036315916,0.00005713783,0.00021112942],"genre_scores_gemma":[0.99680823,0.0013848494,0.00048923964,0.00046833282,0.0003376703,0.00014892036,0.00015135652,0.00001761352,0.00019378439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977227,0.00078581786,0.0005166273,0.00046368898,0.00015923519,0.00035193603],"domain_scores_gemma":[0.998606,0.000284253,0.00019936933,0.00029708602,0.00017314206,0.00044013452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018648617,0.00016402037,0.00052274414,0.00017597814,0.00014631807,0.0000048322745,0.0000644193,0.00018686068,0.000821005],"category_scores_gemma":[0.0008549229,0.00014344102,0.00015623082,0.00019530574,0.00021951727,0.00006871643,0.000088786204,0.00020751271,0.0000184248],"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":[0.0012930782,0.00008683998,0.8383784,0.0002620577,0.0001701413,8.1538894e-7,0.000020908372,0.000017754783,0.0015961394,0.0017315095,0.00085165,0.1555907],"study_design_scores_gemma":[0.0013577092,0.0007032823,0.97869384,0.00009844839,0.00030884557,0.00000181262,0.000004076218,0.0002544161,0.0004997675,0.012859544,0.005089603,0.00012864982],"about_ca_topic_score_codex":0.0036482443,"about_ca_topic_score_gemma":0.0013161908,"teacher_disagreement_score":0.15546206,"about_ca_system_score_codex":0.00020348333,"about_ca_system_score_gemma":0.00008326342,"threshold_uncertainty_score":0.8989429},"labels":[],"label_agreement":null},{"id":"W2165800791","doi":"10.1158/1055-9965.epi-12-0201","title":"Oophorectomy after Menopause and the Risk of Breast Cancer in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Sunnybrook Health Science Centre; University of Toronto; BC Cancer Agency","funders":"National Institutes of Health; Canada Research Chairs; National Cancer Institute; Cancer Care Ontario","keywords":"Medicine; Breast cancer; Menopause; Oophorectomy; Gynecology; Menarche; Obstetrics; BRCA mutation; Ovarian cancer; Prospective cohort study; Cancer; Internal medicine; Oncology; Surgery; Hysterectomy","score_opus":0.011007460812871486,"score_gpt":0.3026900861709243,"score_spread":0.29168262535805284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165800791","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":[0.8949927,0.10171174,0.0005791929,0.0015024311,0.0004967714,0.00049562834,0.00015983301,0.000007273556,0.000054444674],"genre_scores_gemma":[0.9809094,0.0169779,0.00064268755,0.00042548755,0.00020682425,0.0007095407,0.000040582556,0.000023187631,0.00006439015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976144,0.0010468424,0.0004986756,0.00040521947,0.00007498045,0.00035988053],"domain_scores_gemma":[0.9989585,0.0001982767,0.00038845377,0.00027968935,0.00007869,0.0000963618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022560775,0.00020501373,0.0003448141,0.000081898324,0.00007998139,0.0000059143667,0.00010795073,0.00023798223,0.000046604207],"category_scores_gemma":[0.00022425872,0.00015931421,0.00008649361,0.00016711288,0.00076986646,0.000023802131,0.00010006022,0.00014323214,7.563127e-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":[0.001876469,0.0000412444,0.94976866,0.00007090692,0.00075175,5.826312e-7,0.00061318855,0.0001684688,0.011999935,0.00011549454,0.0014508003,0.03314249],"study_design_scores_gemma":[0.0032924868,0.0000763235,0.98597425,0.000105831015,0.00036454396,0.000038912825,0.00029646588,0.00023008476,0.005111144,0.0018203119,0.0024204412,0.00026920935],"about_ca_topic_score_codex":0.00091716246,"about_ca_topic_score_gemma":0.0012300054,"teacher_disagreement_score":0.08591671,"about_ca_system_score_codex":0.00011693299,"about_ca_system_score_gemma":0.00012952852,"threshold_uncertainty_score":0.64966446},"labels":[],"label_agreement":null},{"id":"W2165943458","doi":"10.1158/1055-9965.epi-07-2658","title":"Association between Transillumination Breast Spectroscopy and Quantitative Mammographic Features of the Breast","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":41,"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 Health Network; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Transillumination; Breast imaging; Mammography; Association (psychology); Spectroscopy; Medicine; Breast cancer; Pathology; Internal medicine; Physics; Psychology; Astronomy","score_opus":0.0304992429702687,"score_gpt":0.3371115674649644,"score_spread":0.3066123244946957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165943458","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":[0.97759855,0.005951907,0.0011627759,0.013704404,0.00039664027,0.00073838676,0.000116528354,0.000045181663,0.00028563102],"genre_scores_gemma":[0.9952945,0.0017041523,0.0020933936,0.00027767132,0.00018453196,0.000055094322,0.00009430068,0.00002045666,0.00027589346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976975,0.0008198757,0.00058604823,0.0003419905,0.00023859876,0.0003160331],"domain_scores_gemma":[0.9981486,0.0006054093,0.0006718546,0.00025568256,0.00022621894,0.00009221594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016911915,0.0001988989,0.0006051528,0.0002467146,0.00017279378,0.0000018051552,0.00010697725,0.00029804168,0.00006017042],"category_scores_gemma":[0.00036040583,0.00014446382,0.00028623772,0.00055376155,0.0006959013,0.00009990262,0.000022045735,0.000312786,0.0000010721923],"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":[0.00036717116,0.000050989212,0.9803165,0.00009783428,0.0011764951,0.0000017000023,0.00034778216,9.596226e-7,0.009099117,0.00032153985,0.0028432752,0.0053766444],"study_design_scores_gemma":[0.001337618,0.00023187297,0.99216765,0.000457076,0.00078314584,0.00022544478,0.00012718547,0.00001863612,0.0015687911,0.0028835384,0.000082883904,0.00011613545],"about_ca_topic_score_codex":0.000254064,"about_ca_topic_score_gemma":0.000076209304,"teacher_disagreement_score":0.017695962,"about_ca_system_score_codex":0.00017231768,"about_ca_system_score_gemma":0.00010358437,"threshold_uncertainty_score":0.5891063},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2166454331","doi":"10.1158/1055-9965.epi-09-0881","title":"Family History, Mammographic Density, and Risk of Breast Cancer","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Sunnybrook Health Science Centre; BC Cancer Agency","funders":"","keywords":"Breast cancer; Family history; Medicine; Odds ratio; Confidence interval; MAMMOGRAPHIC DENSITY; Relative risk; Mammography; Risk factor; Obstetrics; Risk factors for breast cancer; Cancer; Gynecology; Internal medicine; Oncology; Demography","score_opus":0.024956400360124857,"score_gpt":0.3096159957378007,"score_spread":0.2846595953776758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166454331","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":[0.97961205,0.01616789,0.00036862498,0.0016849937,0.001134692,0.00030074982,0.000054500135,0.000056776134,0.00061973126],"genre_scores_gemma":[0.9917054,0.0060199196,0.0013815236,0.00038964086,0.00017219802,0.00006435107,0.000028119464,0.000020681242,0.00021815328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845874,0.00021608897,0.00047373676,0.0004262664,0.00010113906,0.000324013],"domain_scores_gemma":[0.9987511,0.00020366217,0.00042133583,0.00029203607,0.00013469216,0.00019715064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011692435,0.00019853891,0.0005468103,0.0003137071,0.000055929955,0.0000034053887,0.00009094453,0.00020615644,0.00014055584],"category_scores_gemma":[0.00013866865,0.00017378812,0.00030959953,0.00022057646,0.0008000588,0.0001589815,0.000047414447,0.00032980752,0.0000019931265],"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":[0.00034560845,0.000074869014,0.8514414,0.00009942043,0.0006856462,0.0000034738655,0.000020629474,4.5649756e-7,0.011613144,0.00024707185,0.0042725015,0.13119581],"study_design_scores_gemma":[0.00088481914,0.00008578668,0.9915308,0.00025495613,0.00067659456,0.00015550204,0.000021836027,0.00011564098,0.00017965818,0.0031110847,0.0028294348,0.00015388292],"about_ca_topic_score_codex":0.002442873,"about_ca_topic_score_gemma":0.00061923213,"teacher_disagreement_score":0.14008944,"about_ca_system_score_codex":0.00007660242,"about_ca_system_score_gemma":0.00014917961,"threshold_uncertainty_score":0.7086874},"labels":[],"label_agreement":null},{"id":"W2166473232","doi":"10.1158/1055-9965.epi-11-0427","title":"The Influence of Light at Night Exposure on Melatonin Levels among Canadian Rotating Shift Nurses","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Workplace Safety and Insurance Board","keywords":"Melatonin; Shift work; Circadian rhythm; Medicine; Saliva; Animal science; Endocrinology; Internal medicine; Biology; Psychiatry","score_opus":0.06382173139365811,"score_gpt":0.31656172148831946,"score_spread":0.25273999009466136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166473232","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":[0.99216056,0.002272958,0.0000235521,0.0011262546,0.0010765528,0.00056885544,0.00003662279,0.0000460594,0.002688587],"genre_scores_gemma":[0.9973903,0.0002539688,0.00012593144,0.0005389537,0.00006537813,0.00018368423,0.000003892822,0.000027581576,0.0014103467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964541,0.0012103555,0.00077132764,0.0006533409,0.00015086497,0.0007599625],"domain_scores_gemma":[0.99725795,0.0012088228,0.000635529,0.0005286059,0.000053709595,0.00031541009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015415258,0.00026431002,0.0003961454,0.00017960437,0.00059295294,0.000009614765,0.00042849308,0.00028599452,0.00021016966],"category_scores_gemma":[0.0018247645,0.00020300141,0.0002048207,0.00031159047,0.00066283986,0.00022117351,0.000060881386,0.00026489655,0.000061464714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019158075,0.00003974305,0.9480783,0.000030335987,0.000099938465,0.000023281316,0.0018337709,0.00012397766,0.014895331,0.022826666,0.0014880651,0.010369061],"study_design_scores_gemma":[0.00031826954,0.00013476772,0.8940086,0.0002396088,0.000039264654,0.000010438149,0.00004944181,0.000053797736,0.09802216,0.0035022083,0.0034051822,0.00021627739],"about_ca_topic_score_codex":0.0116369305,"about_ca_topic_score_gemma":0.058791675,"teacher_disagreement_score":0.083126836,"about_ca_system_score_codex":0.0002847173,"about_ca_system_score_gemma":0.0002755194,"threshold_uncertainty_score":0.9949447},"labels":[],"label_agreement":null},{"id":"W2166601685","doi":"10.1158/1055-9965.epi-05-0512","title":"No Evidence of False Reassurance among Women with an Inconclusive <i>BRCA1/2</i> Genetic Test Result","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"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 de l'Université Laval; University of Calgary; Hôtel-Dieu de Québec; Université Laval; Concordia University; Hôpital du Saint-Sacrement","funders":"","keywords":"Worry; Genetic testing; Medicine; Context (archaeology); Genetic counseling; Breast cancer; Test (biology); Risk perception; Gynecology; Clinical psychology; Perception; Family medicine; Cancer; Psychology; Psychiatry; Internal medicine; Anxiety","score_opus":0.024142633731820573,"score_gpt":0.3366893999958421,"score_spread":0.3125467662640215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166601685","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":[0.9788259,0.015311168,0.003780033,0.0008441868,0.00028812626,0.00059354166,0.00005158288,0.000031180567,0.00027427392],"genre_scores_gemma":[0.974622,0.002698378,0.01984649,0.0006504693,0.0005517407,0.0006136092,0.000079608166,0.000045777393,0.0008918888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969661,0.0006837909,0.0007946658,0.0008735424,0.00015236271,0.00052950485],"domain_scores_gemma":[0.9975222,0.00028460813,0.00074705784,0.0008214029,0.00044085053,0.0001839315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015319383,0.00029979774,0.00044963954,0.00009052889,0.00012316619,0.00000849461,0.0004311504,0.00033974374,0.00009350419],"category_scores_gemma":[0.0011195844,0.00027831196,0.00010510725,0.00023918731,0.00068506773,0.000045988632,0.00012631046,0.00015043865,0.000014221499],"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":[0.0046581714,0.0003116845,0.5574237,0.00021236321,0.00095265504,0.000005342736,0.0003941475,0.0056161634,0.33903486,0.000026434778,0.011290693,0.08007382],"study_design_scores_gemma":[0.003959074,0.0069049173,0.85606694,0.0013345586,0.00033159013,0.000061608254,0.00035700726,0.0019983351,0.08965455,0.0013406426,0.03658951,0.0014012583],"about_ca_topic_score_codex":0.00022510118,"about_ca_topic_score_gemma":0.0013719652,"teacher_disagreement_score":0.29864326,"about_ca_system_score_codex":0.00036309546,"about_ca_system_score_gemma":0.00051323447,"threshold_uncertainty_score":0.9999669},"labels":[],"label_agreement":null},{"id":"W2166888153","doi":"10.1158/1055-9965.2090.13.12","title":"Mammographic Density and Estrogen Receptor Status of Breast Cancer","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute","keywords":"Breast cancer; Medicine; Mammography; Estrogen receptor; Hazard ratio; Oncology; Internal medicine; Cancer; Body mass index; Estrogen; Gynecology; Confidence interval; Risk factors for breast cancer; Obstetrics","score_opus":0.02693126314195629,"score_gpt":0.334283720427013,"score_spread":0.30735245728505667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166888153","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":[0.9740409,0.01989177,0.0007667588,0.0042909877,0.00032738928,0.0003707506,0.00009694623,0.000056147146,0.00015830694],"genre_scores_gemma":[0.98947436,0.0068633743,0.0029694512,0.00037656951,0.00010508969,0.00006851702,0.00007227064,0.000018646328,0.00005170905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840224,0.00014167272,0.0004662864,0.00040323386,0.000097521,0.00048906467],"domain_scores_gemma":[0.99901515,0.00009480702,0.00028778633,0.00021039302,0.00011570514,0.0002761756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473266,0.00019022927,0.000522797,0.00024023492,0.000062058374,0.000004817342,0.000060547303,0.00014585663,0.000083915766],"category_scores_gemma":[0.00009411239,0.00016843124,0.00026463124,0.0003745784,0.0005241805,0.00017294826,0.00003764396,0.00013945787,0.0000024115855],"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":[0.0006070851,0.000103296115,0.870675,0.00014151451,0.0006571967,0.000003600329,0.00003337627,0.0000070957044,0.004123731,0.0006742936,0.000416779,0.12255703],"study_design_scores_gemma":[0.0017613376,0.0001659339,0.9876339,0.0007361518,0.00035587072,0.00014497983,0.00006116721,0.000015371777,0.0013715174,0.0068199993,0.0007705349,0.00016322549],"about_ca_topic_score_codex":0.0016631724,"about_ca_topic_score_gemma":0.00011569233,"teacher_disagreement_score":0.1223938,"about_ca_system_score_codex":0.00013886185,"about_ca_system_score_gemma":0.0002136357,"threshold_uncertainty_score":0.6868427},"labels":[],"label_agreement":null},{"id":"W2167185749","doi":"10.1158/1055-9965.epi-10-0082","title":"Knowledge and Use of Finasteride for the Prevention of Prostate Cancer","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":38,"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":"Finasteride; Medicine; Prostate cancer; Incidence (geometry); Prostate; Medical prescription; Gynecology; Oncology; Urology; Internal medicine; Cancer; Pharmacology","score_opus":0.08611706916983507,"score_gpt":0.4023001224003925,"score_spread":0.3161830532305574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167185749","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":[0.9575796,0.033950277,0.0008148167,0.004275826,0.00087069185,0.0023250796,0.00014456376,0.000016924727,0.000022236038],"genre_scores_gemma":[0.9738345,0.01880312,0.0035271756,0.00015742163,0.00013809139,0.002262661,0.000087361266,0.00002635704,0.0011633217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860024,0.00015689139,0.0006126472,0.00032847896,0.000057807636,0.00024394001],"domain_scores_gemma":[0.99788064,0.0009816965,0.000550131,0.0002940116,0.00021631732,0.000077187826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096287066,0.00016625946,0.00052184943,0.00007924348,0.00006967641,0.0000036055196,0.000064225635,0.00014256801,0.00007306717],"category_scores_gemma":[0.00037393786,0.0001120469,0.00021915483,0.000118766984,0.00036606236,0.00011113891,0.00004562896,0.00011826738,5.9363424e-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":[0.001389054,0.0002743771,0.6575244,0.000664911,0.0010691424,5.0685264e-7,0.00021454456,0.000012931426,0.017618362,0.00056338817,0.005689437,0.31497893],"study_design_scores_gemma":[0.0034664257,0.0011132251,0.9319079,0.0011906392,0.001355205,0.000009387089,0.00006235635,0.0009489317,0.026482916,0.00390952,0.029382529,0.00017094282],"about_ca_topic_score_codex":0.00044064902,"about_ca_topic_score_gemma":0.0010015457,"teacher_disagreement_score":0.31480798,"about_ca_system_score_codex":0.00006697568,"about_ca_system_score_gemma":0.00022625708,"threshold_uncertainty_score":0.456914},"labels":[],"label_agreement":null},{"id":"W2167365725","doi":"10.1158/1055-9965.108.14.1","title":"Expression of the Epidermal Growth Factor Seven-Transmembrane Member CD97 Correlates with Grading and Staging in Human Oral Squamous Cell Carcinomas","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Receptor Mechanisms and Signaling","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":"University of Manitoba","funders":"","keywords":"Immunostaining; Biology; Pathology; Epidermal growth factor; Immunohistochemistry; Grading (engineering); Cancer research; Cell culture; Molecular biology; Medicine","score_opus":0.024539319735412495,"score_gpt":0.29230819714582174,"score_spread":0.2677688774104092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167365725","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":[0.99076194,0.004476269,0.0039261407,0.00029612822,0.00014265311,0.00031855985,0.000012494212,0.000008951601,0.000056880614],"genre_scores_gemma":[0.9978265,0.00021875754,0.0014821173,0.000111417416,0.0000788759,0.000041653828,0.000043853106,0.00002415288,0.00017265545],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99811184,0.00055869704,0.00047620383,0.00044232493,0.00007983832,0.00033107147],"domain_scores_gemma":[0.9992756,0.000088760484,0.00031112,0.00020958167,0.000046424197,0.00006851404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073043717,0.0002106668,0.00033812714,0.00006507754,0.00012237736,0.0000054838365,0.0001534657,0.00023140869,0.00006413344],"category_scores_gemma":[0.00005740308,0.00015057404,0.000119292265,0.0000932237,0.00015699248,0.000018737825,0.000071091104,0.00016205436,2.5848738e-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":[0.00012633551,0.000035297093,0.2880451,0.000066062916,0.00003005273,6.32428e-7,0.00013409388,0.0005401198,0.70993197,0.000055994347,0.00011373897,0.00092062406],"study_design_scores_gemma":[0.0016244899,0.00022268407,0.075518824,0.00022565296,0.00006580593,0.000009175944,0.00015090725,0.0008408028,0.9201586,0.0006441526,0.0002565507,0.000282346],"about_ca_topic_score_codex":0.00023461666,"about_ca_topic_score_gemma":0.00035121458,"teacher_disagreement_score":0.21252628,"about_ca_system_score_codex":0.000042987383,"about_ca_system_score_gemma":0.000052729643,"threshold_uncertainty_score":0.61402315},"labels":[],"label_agreement":null},{"id":"W2167502212","doi":"10.1158/1055-9965.epi-13-0196","title":"The Use of Metformin and Colorectal Cancer Incidence in Patients with Type II Diabetes Mellitus","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"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; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Metformin; Colorectal cancer; Internal medicine; Incidence (geometry); Confounding; Type 2 diabetes; Cancer; Diabetes mellitus; Type 2 Diabetes Mellitus; Confidence interval; Oncology; Cohort study; Cumulative incidence; Logistic regression; Observational study; Cohort; Insulin; Endocrinology","score_opus":0.0232348146564597,"score_gpt":0.2837761028841446,"score_spread":0.2605412882276849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167502212","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":[0.7746718,0.22452252,0.000025387782,0.00007717036,0.0002575164,0.00042138284,0.000013796866,0.0000041631965,0.00000628059],"genre_scores_gemma":[0.89995176,0.09845229,0.00062050996,0.0002776199,0.000070533344,0.00043472086,0.000074952506,0.000018800549,0.0000988103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984004,0.00036750786,0.0004152421,0.00036627657,0.00008213198,0.00036845446],"domain_scores_gemma":[0.9990283,0.00016196858,0.00031621306,0.00022460286,0.00019553308,0.00007333724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006134021,0.00017462751,0.00032258977,0.000047592443,0.000106670195,0.000009223879,0.0001447857,0.00017840439,0.00005741715],"category_scores_gemma":[0.00035993868,0.00011800049,0.000059511985,0.00014911352,0.00037316937,0.000030439262,0.000106840176,0.0000887229,0.000001203121],"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":[0.00025108317,0.00003710104,0.7479761,0.000023737082,0.0002096818,5.496908e-8,0.000023810611,0.000035528086,0.0034877993,0.00002379538,0.0024722104,0.24545906],"study_design_scores_gemma":[0.0009947912,0.00054078316,0.95359504,0.00012257592,0.00008060734,2.3026965e-7,0.000020398005,0.00017814849,0.011128684,0.00058536645,0.03252817,0.00022522135],"about_ca_topic_score_codex":0.000621647,"about_ca_topic_score_gemma":0.0011418915,"teacher_disagreement_score":0.24523385,"about_ca_system_score_codex":0.000041715255,"about_ca_system_score_gemma":0.00011194502,"threshold_uncertainty_score":0.48119205},"labels":[],"label_agreement":null},{"id":"W2167870999","doi":"10.1158/1055-9965.epi-11-0674","title":"Methods to Assess Adverse Health-Related Outcomes in Cancer Survivors","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","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":"Princess Margaret Cancer Centre","funders":"","keywords":"Survivorship curve; Confounding; Reading (process); Cancer survivorship; Cancer; Cancer survivor; Psychology; Gerontology; Medicine; Political science; Pathology","score_opus":0.20221938061091557,"score_gpt":0.47953152782359404,"score_spread":0.2773121472126785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167870999","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":[0.9055875,0.030408526,0.020301186,0.025267338,0.010827119,0.003407029,0.000083956365,0.00036599458,0.003751335],"genre_scores_gemma":[0.92220134,0.003871152,0.04880206,0.013168417,0.00026329496,0.0030016862,0.00019641483,0.00016167594,0.008333974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99432755,0.002534978,0.0013461913,0.00082282256,0.00015143304,0.00081701466],"domain_scores_gemma":[0.9978505,0.0005343695,0.000499212,0.00053778186,0.00012877698,0.00044935558],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005616826,0.00035816053,0.0013489982,0.0004579352,0.000086229935,0.0000027950002,0.00021203702,0.00038301162,0.002161582],"category_scores_gemma":[0.0006344997,0.00032238942,0.00039378513,0.0007504934,0.00015180928,0.00013728965,0.00009324267,0.00039062253,0.000035761805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061294733,0.00015849232,0.87472105,0.00014438627,0.00050013285,0.000011895587,0.001376328,0.000016251142,0.00017722031,0.00030082415,0.0016526545,0.12032784],"study_design_scores_gemma":[0.0013602453,0.00034363553,0.98472595,0.000550268,0.00016137445,0.000009457137,0.00069486257,0.000098578246,0.00024695625,0.0025333508,0.008939867,0.0003354341],"about_ca_topic_score_codex":0.0974425,"about_ca_topic_score_gemma":0.12647136,"teacher_disagreement_score":0.119992405,"about_ca_system_score_codex":0.0009509302,"about_ca_system_score_gemma":0.0005183434,"threshold_uncertainty_score":0.9999228},"labels":[],"label_agreement":null},{"id":"W2168225744","doi":"10.1158/1055-9965.epi-05-0820","title":"C-Peptide, Insulin-like Growth Factor Binding Protein-1, Glycosylated Hemoglobin, and the Risk of Distal Colorectal Adenoma in Women","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":79,"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; Jewish General Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Colorectal adenoma; Medicine; Adenoma; Colorectal cancer; Internal medicine; Quartile; Body mass index; Gastroenterology; Risk factor; Endocrinology; Insulin; Confidence interval; Oncology; Cancer","score_opus":0.015196026119089504,"score_gpt":0.27910859736111215,"score_spread":0.26391257124202266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168225744","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":[0.99184006,0.0050779902,0.00051012536,0.00068752875,0.00029220278,0.0012938465,0.000043618824,0.00006574806,0.00018890252],"genre_scores_gemma":[0.9979496,0.000528281,0.00044758763,0.000056364584,0.000111836,0.0005245928,0.000043649194,0.000022098875,0.00031601475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710643,0.0010243497,0.00081263407,0.00047715817,0.00013803162,0.00044140776],"domain_scores_gemma":[0.9984225,0.0005696099,0.0006212341,0.00018891197,0.00010123726,0.0000965032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020124628,0.00023976111,0.0007369648,0.00023212655,0.0001236392,0.000007675458,0.000094720344,0.00026588544,0.000051894232],"category_scores_gemma":[0.0008167753,0.00017623579,0.0001849298,0.0005001214,0.00052937295,0.00010672698,0.000068079506,0.00034755832,0.0000026054001],"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":[0.06192838,0.00019848578,0.8857471,0.0002739998,0.0007278575,0.000012434107,0.000521687,0.000029515357,0.023471743,0.00029767805,0.0006178175,0.026173342],"study_design_scores_gemma":[0.009463044,0.001613208,0.97446626,0.00049320754,0.0001815281,0.00004102517,0.00025219776,0.0014803332,0.005778576,0.005697644,0.00027295525,0.000260007],"about_ca_topic_score_codex":0.0049406965,"about_ca_topic_score_gemma":0.0013049877,"teacher_disagreement_score":0.08871921,"about_ca_system_score_codex":0.00054741325,"about_ca_system_score_gemma":0.00013394046,"threshold_uncertainty_score":0.7468889},"labels":[],"label_agreement":null},{"id":"W2168764008","doi":"10.1158/1055-9965.epi-10-1336","title":"Genetic Variation in <i>IGF2</i> and <i>HTRA1</i> and Breast Cancer Risk among <i>BRCA1</i> and <i>BRCA2</i> Carriers","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","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":"Jonsson Comprehensive Cancer Center; National Cancer Institute; University of California, Los Angeles; Women's College Hospital; NorthShore University HealthSystem; Georgetown University; Creighton University; University of California, Irvine; Universität Wien; Beckman Research Institute, City of Hope; University of Pennsylvania","keywords":"Breast cancer; Single-nucleotide polymorphism; PTEN; Genetics; SNP; Oncology; Cancer; Linkage disequilibrium; Biology; Mutation; Medicine; Cancer research; Internal medicine; Gene; Genotype; PI3K/AKT/mTOR pathway; Signal transduction","score_opus":0.018942257153443325,"score_gpt":0.2847410911477386,"score_spread":0.26579883399429527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168764008","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":[0.95692,0.038915783,0.0022210164,0.00054579397,0.00050013635,0.0005719093,0.00014950703,0.00002440189,0.0001514195],"genre_scores_gemma":[0.96267617,0.031969994,0.00379283,0.0007216154,0.0002012721,0.00046218204,0.000040834202,0.000046068668,0.00008900745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971045,0.0006989794,0.000617217,0.0010098652,0.00008459273,0.00048479982],"domain_scores_gemma":[0.99884045,0.00008962506,0.00042785527,0.0003535006,0.00008718265,0.00020141053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001198405,0.00033727707,0.00041228224,0.00013092524,0.00016755697,0.000015881325,0.00014443898,0.0004504399,0.00004536613],"category_scores_gemma":[0.00014241504,0.000349752,0.00007792155,0.00019124639,0.0006866828,0.000035711717,0.0001569661,0.00021590276,9.861265e-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":[0.00029045952,0.000035994002,0.9549091,0.00006126277,0.00034966288,0.0000023730602,0.00043558606,0.000062872605,0.01219946,0.00004356635,0.0015719684,0.030037683],"study_design_scores_gemma":[0.001355126,0.00012925047,0.9919747,0.00010093862,0.0002160908,0.000043237345,0.00012988076,0.00036552447,0.0014306133,0.002659027,0.0012039049,0.00039172373],"about_ca_topic_score_codex":0.0036427525,"about_ca_topic_score_gemma":0.004966587,"teacher_disagreement_score":0.03706557,"about_ca_system_score_codex":0.00013550818,"about_ca_system_score_gemma":0.00018952081,"threshold_uncertainty_score":0.99989545},"labels":[],"label_agreement":null},{"id":"W2168833827","doi":"10.1158/1055-9965.epi-05-0557","title":"The <i>CHEK2*1100delC</i> Allelic Variant and Risk of Breast Cancer: Screening Results from the Breast Cancer Family Registry","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Institutes of Health; National Cancer Institute; Cancer Care Ontario; Breast Cancer Alliance","keywords":"CHEK2; Medicine; Breast cancer; Odds ratio; Family history; Population; Internal medicine; Oncology; Cancer; Confidence interval; Mammography; Gynecology; Mutation; Germline mutation; Genetics; Biology","score_opus":0.020028981053838626,"score_gpt":0.3014075935779897,"score_spread":0.2813786125241511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168833827","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":[0.7858608,0.16628928,0.008890582,0.027669057,0.0016669072,0.00095763727,0.008293536,0.000046696958,0.00032551851],"genre_scores_gemma":[0.91612375,0.07671787,0.0022108222,0.0009923225,0.0017640253,0.00063825893,0.000705103,0.000065848995,0.00078201294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99629736,0.001164881,0.0009768383,0.0008755488,0.00016603396,0.0005193527],"domain_scores_gemma":[0.99697024,0.0006306523,0.0011768296,0.0008813111,0.00025393686,0.00008700592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022568821,0.00033780365,0.0004072365,0.00003705461,0.0005070082,0.000026874068,0.00051945564,0.00038955675,0.000025446623],"category_scores_gemma":[0.00024221608,0.00023369404,0.00024129092,0.00021282557,0.00087123323,0.000017681781,0.00021989811,0.00028023424,0.0000013392815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033461126,0.00008734503,0.51827013,0.00003920246,0.0031887146,0.0000030633773,0.00010585614,0.005348114,0.041843824,0.000191658,0.25310716,0.1744688],"study_design_scores_gemma":[0.0018698985,0.000054376942,0.95663404,0.0002428949,0.00051774026,0.000044558674,0.00022043596,0.0009821499,0.0012453585,0.0024198059,0.03540401,0.00036469928],"about_ca_topic_score_codex":0.042391736,"about_ca_topic_score_gemma":0.013977471,"teacher_disagreement_score":0.4383639,"about_ca_system_score_codex":0.00016607875,"about_ca_system_score_gemma":0.00046581612,"threshold_uncertainty_score":0.9639851},"labels":[],"label_agreement":null},{"id":"W2168939130","doi":"10.1158/1055-9965.epi-05-0762","title":"Mammographic Density as a Surrogate Marker for the Effects of Hormone Therapy on Risk of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; BC Cancer Agency; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"","keywords":"Breast cancer; Medicine; Odds ratio; Confidence interval; Hormone therapy; Oncology; Hormone replacement therapy (female-to-male); Internal medicine; Hormone; Cancer; Case-control study; Risk factor; Gynecology; Testosterone (patch)","score_opus":0.01556154581326123,"score_gpt":0.3152665282743102,"score_spread":0.29970498246104893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168939130","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":[0.9545294,0.039731268,0.0012484455,0.0023776847,0.00045487387,0.0013627525,0.0001256023,0.000035682493,0.00013428283],"genre_scores_gemma":[0.987861,0.010783607,0.00029088516,0.00031787227,0.00015269048,0.00036104655,0.000044832817,0.000025144785,0.00016292195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980909,0.0004304604,0.000591839,0.00037774877,0.00014182276,0.00036720705],"domain_scores_gemma":[0.99664193,0.002046681,0.000688177,0.00035862488,0.00019119639,0.00007340131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015428317,0.00023791603,0.00064982957,0.00022977254,0.00009824115,0.000003954828,0.00013177854,0.00015691096,0.00002133465],"category_scores_gemma":[0.000249785,0.0001575101,0.0007462541,0.00042879433,0.0005245845,0.000087002125,0.000020978368,0.00015519619,9.855875e-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":[0.0061523984,0.00032336547,0.8324475,0.00021940014,0.0020169308,0.0000025441047,0.000020179232,0.00001728893,0.0075503862,0.0004428532,0.004760431,0.14604671],"study_design_scores_gemma":[0.0030078413,0.0006327386,0.98243564,0.0005076805,0.00069986156,0.00002848504,0.000013670068,0.00018257777,0.0030674217,0.008808524,0.00048085363,0.00013472445],"about_ca_topic_score_codex":0.0038070034,"about_ca_topic_score_gemma":0.00019682,"teacher_disagreement_score":0.1499881,"about_ca_system_score_codex":0.000054990625,"about_ca_system_score_gemma":0.00009271958,"threshold_uncertainty_score":0.6423075},"labels":[],"label_agreement":null},{"id":"W2169243350","doi":"10.1158/1055-9965.epi-05-0837","title":"Chromosomal Instability in Barrett's Esophagus Is Related to Telomere Shortening","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; National Institute on Aging","keywords":"Esophagus; Telomere; Barrett's esophagus; Chromosome instability; Biology; Dysplasia; Fluorescence in situ hybridization; Carcinogenesis; Chromosome; CDKN2A; Adenocarcinoma; Pathology; Cancer research; Gastroenterology; Cancer; Genetics; Medicine; Gene; Anatomy","score_opus":0.02205249861821683,"score_gpt":0.3373277797480665,"score_spread":0.31527528112984965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169243350","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":[0.94843477,0.04616279,0.0029347255,0.0011208899,0.00045545335,0.00048722274,0.000020408157,0.000023487517,0.00036025018],"genre_scores_gemma":[0.9955761,0.00041119082,0.0027007773,0.0002814085,0.00015901169,0.00015125239,0.00027445517,0.000026629566,0.00041918058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736464,0.0005532197,0.0007800249,0.00075797015,0.0000883185,0.0004558306],"domain_scores_gemma":[0.9991416,0.00006843719,0.00021214655,0.00039113485,0.00008030191,0.00010637982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015169608,0.00023042069,0.00034344036,0.00012848769,0.000084772924,0.000008015809,0.00017247467,0.00043975678,0.00011805559],"category_scores_gemma":[0.00024749167,0.00024127286,0.00017164882,0.00028569522,0.0001149272,0.000010131929,0.000099709825,0.0001432773,0.000014142817],"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":[0.0001328207,0.00006581861,0.9074202,0.000018858429,0.00008797958,0.0000023830914,0.000028323208,0.00071479595,0.07197639,0.00012782833,0.0013175457,0.018107025],"study_design_scores_gemma":[0.00080451684,0.0002621247,0.8875088,0.00007468888,0.000044368073,0.0000029523749,0.000029754667,0.00061492133,0.09658634,0.010650488,0.0030501473,0.0003709045],"about_ca_topic_score_codex":0.0005148543,"about_ca_topic_score_gemma":0.000831171,"teacher_disagreement_score":0.047141325,"about_ca_system_score_codex":0.00012177722,"about_ca_system_score_gemma":0.000105071886,"threshold_uncertainty_score":0.9838822},"labels":[],"label_agreement":null},{"id":"W2169427285","doi":"10.1158/1055-9965.epi-14-0386","title":"Sexual Transmission of Oral Human Papillomavirus Infection among Men","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":50,"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; McGill University Health Centre; Ontario HIV Treatment Network; McGill University","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Concordia University; McGill University","keywords":"Medicine; Sex organ; Human papillomavirus; Transmission (telecommunications); HPV infection; Cohort; Gynecology; Demography; Cancer; Internal medicine; Cervical cancer; Biology","score_opus":0.06751532596620294,"score_gpt":0.3992366054536532,"score_spread":0.3317212794874502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169427285","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":[0.98327285,0.0033047672,0.007045038,0.0014650595,0.00037625944,0.00054062856,0.0000041686553,0.00010213589,0.0038890806],"genre_scores_gemma":[0.9958534,0.0010150512,0.0010104487,0.0002364189,0.00016574099,0.0001303162,0.00006276936,0.00002350045,0.0015023267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978032,0.00065559853,0.00068471365,0.00040609765,0.00011516087,0.00033521623],"domain_scores_gemma":[0.9990173,0.00016984061,0.00033080974,0.00024387568,0.00009394704,0.00014422134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018803083,0.00019921173,0.0008059421,0.00013986276,0.0001447305,0.0000018992042,0.000060645245,0.00024993077,0.00022000255],"category_scores_gemma":[0.00020000279,0.00016528797,0.00019488091,0.00017481299,0.0003138367,0.00009895041,0.000029095057,0.00017161471,0.000006481312],"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":[0.00032462215,0.00010695494,0.7641885,0.00024010414,0.0004254865,9.707735e-7,0.00011289132,0.000008062701,0.025105335,0.0002263969,0.008348705,0.20091197],"study_design_scores_gemma":[0.0019798356,0.0011843913,0.97445804,0.00048328066,0.00034197338,0.0000046662844,0.0000350989,0.0005876758,0.0032768426,0.0020075694,0.015470809,0.00016981014],"about_ca_topic_score_codex":0.0025830448,"about_ca_topic_score_gemma":0.00048233892,"teacher_disagreement_score":0.21026954,"about_ca_system_score_codex":0.00014052294,"about_ca_system_score_gemma":0.00006156575,"threshold_uncertainty_score":0.67402476},"labels":[],"label_agreement":null},{"id":"W2169462897","doi":"10.1158/1055-9965.epi-04-0612","title":"Gene-Smoking Interaction Associations for the <i>ERCC1</i> Polymorphisms in the Risk of Lung Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","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":"Immunovaccine (Canada)","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; Massachusetts General Hospital","keywords":"ERCC1; Lung cancer; Odds ratio; Nucleotide excision repair; Linkage disequilibrium; Internal medicine; Confidence interval; Oncology; Single-nucleotide polymorphism; Medicine; Genotype; DNA repair; Gastroenterology; Biology; Genetics; Gene","score_opus":0.032574443761213295,"score_gpt":0.361436147671906,"score_spread":0.3288617039106927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169462897","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":[0.9312331,0.029478908,0.02791571,0.008226536,0.0013402723,0.00147966,0.0002056309,0.000020777426,0.000099390025],"genre_scores_gemma":[0.9910597,0.0041144197,0.0017477586,0.0010763456,0.0005204601,0.0010827114,0.00016599118,0.000021370584,0.00021119836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978647,0.0008549554,0.00053964584,0.0003514005,0.00008551395,0.00030375354],"domain_scores_gemma":[0.99833065,0.000559252,0.0006400821,0.0003600119,0.000082556224,0.00002747385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003217231,0.00015658495,0.00023459701,0.000057336605,0.00016237881,0.000006617127,0.00030084653,0.00023382295,0.000030529554],"category_scores_gemma":[0.00063178776,0.000108707216,0.00029168517,0.00013590972,0.00009278953,0.000014475011,0.000054244312,0.00015186146,7.373884e-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":[0.00062183663,0.00022392582,0.643325,0.00004720861,0.0024442277,4.0421978e-7,0.0005226901,0.00738792,0.19501798,0.0006563926,0.032509245,0.1172432],"study_design_scores_gemma":[0.0037206209,0.00049340905,0.6419708,0.00030021017,0.0019258521,0.00001757555,0.0005876326,0.032049146,0.2582717,0.0059941225,0.053852774,0.00081616547],"about_ca_topic_score_codex":0.00071491697,"about_ca_topic_score_gemma":0.0028551489,"teacher_disagreement_score":0.116427034,"about_ca_system_score_codex":0.00015269016,"about_ca_system_score_gemma":0.00009998408,"threshold_uncertainty_score":0.44329515},"labels":[],"label_agreement":null},{"id":"W2169664141","doi":"10.1158/1055-9965.epi-12-0195","title":"Risk of Pancreatic Cancer in Breast Cancer Families from the Breast Cancer Family Registry","year":2013,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Breast cancer; Cancer; Medicine; Oncology; Pancreatic cancer; Internal medicine; Epidemiology of cancer; Cancer registry","score_opus":0.04142121266623422,"score_gpt":0.36649150354326654,"score_spread":0.3250702908770323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169664141","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":[0.007969532,0.9718031,0.00019275321,0.0015560226,0.002372522,0.0020224913,0.013979835,0.00003153586,0.00007215368],"genre_scores_gemma":[0.0014176607,0.9853501,0.0003884846,0.0004572859,0.0015423057,0.008843756,0.0011752379,0.00016756993,0.00065765006],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9915906,0.0030999146,0.002282044,0.0017906432,0.00027712312,0.0009596731],"domain_scores_gemma":[0.9938819,0.0007483162,0.003177516,0.0016381895,0.00037303168,0.00018103876],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0016662183,0.0010838914,0.0027631423,0.0002337256,0.00020715751,0.000026722377,0.001287803,0.0015789677,0.0007695304],"category_scores_gemma":[0.00026402285,0.0008098224,0.0011624935,0.00070904166,0.0010167469,0.00003177795,0.00039339042,0.0008417104,0.000017446027],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019365926,0.00008158609,0.11228514,0.001969895,0.004944396,0.0000017368136,0.000061553474,0.00034032005,0.00042563985,0.000009726421,0.05476173,0.82492465],"study_design_scores_gemma":[0.0017883297,0.000091978116,0.26885456,0.028596206,0.008257829,0.000056007866,0.00038577095,0.00015595241,0.00009573717,0.0010392627,0.68863547,0.0020428875],"about_ca_topic_score_codex":0.06659316,"about_ca_topic_score_gemma":0.015461672,"teacher_disagreement_score":0.82288176,"about_ca_system_score_codex":0.0013158444,"about_ca_system_score_gemma":0.0032033497,"threshold_uncertainty_score":0.9997172},"labels":[],"label_agreement":null},{"id":"W2170286028","doi":"10.1158/1055-9965.epi-12-1248","title":"Using Genetic Proxies for Lifecourse Sun Exposure to Assess the Causal Relationship of Sun Exposure with Circulating Vitamin D and Prostate Cancer Risk","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":23,"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 and Génome Québec Innovation Centre","funders":"National Institute for Health and Care Research; Cancer Research UK","keywords":"Prostate cancer; Sun exposure; Medicine; Vitamin D and neurology; Oncology; Internal medicine; Physiology; Cancer","score_opus":0.11865493864558271,"score_gpt":0.41091137348828677,"score_spread":0.292256434842704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170286028","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":[0.9737653,0.01159084,0.006262902,0.004163328,0.0001734527,0.0039544827,0.000048384354,0.000030273082,0.000010999597],"genre_scores_gemma":[0.97357076,0.00081367395,0.022234904,0.00011908246,0.00017339106,0.0027056024,0.000022730948,0.000039074002,0.00032076912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971489,0.00094518316,0.00067016034,0.00051285536,0.0001899226,0.00053298543],"domain_scores_gemma":[0.9966419,0.001790537,0.00056018657,0.000344699,0.00050228613,0.00016044013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002299398,0.00025242654,0.00061065215,0.00015706851,0.00036076154,0.000014740637,0.00010721126,0.00017250174,0.000029755554],"category_scores_gemma":[0.002724591,0.00016289878,0.000112886075,0.00029284993,0.0005050613,0.00015043603,0.000087398475,0.0002539955,0.0000011365627],"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":[0.00023666378,0.00004175161,0.97911304,0.0005012925,0.00075376267,0.0000018730183,0.00065050623,0.00091589516,0.00404187,0.000026608346,0.0010143698,0.012702372],"study_design_scores_gemma":[0.0014211939,0.00079996674,0.991551,0.000919949,0.00056215364,0.000019961419,0.0010346719,0.0021507964,0.00029631902,0.0010110101,0.000055428856,0.00017757523],"about_ca_topic_score_codex":0.0013767746,"about_ca_topic_score_gemma":0.00083532534,"teacher_disagreement_score":0.015972,"about_ca_system_score_codex":0.00019686355,"about_ca_system_score_gemma":0.00030158815,"threshold_uncertainty_score":0.6642819},"labels":[],"label_agreement":null},{"id":"W2170377257","doi":"10.1158/1055-9965.epi-06-0924","title":"Insulin-like Growth Factor-I and Risk of High-Grade Cervical Intraepithelial Neoplasia","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","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":"Jewish General Hospital; McGill University; Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Quartile; Odds ratio; Medicine; Confidence interval; Internal medicine; Case-control study; Cervical intraepithelial neoplasia; Cervical cancer; Intraepithelial neoplasia; Oncology; Risk factor; Relative risk; Cancer; Insulin-like growth factor; Gynecology; Prostate cancer; Growth factor; Receptor","score_opus":0.02925842677097262,"score_gpt":0.318319796828058,"score_spread":0.2890613700570854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170377257","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":[0.9805939,0.009286432,0.0066463663,0.0013544771,0.0011542455,0.0006440171,0.0000765969,0.00009771927,0.00014620885],"genre_scores_gemma":[0.98344916,0.011218853,0.004122105,0.00052421424,0.00038339393,0.000033539698,0.00011910731,0.00004389633,0.00010573934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963694,0.0006298758,0.0013552243,0.00070382125,0.00022666075,0.00071500585],"domain_scores_gemma":[0.99715024,0.0010795089,0.0007469591,0.0003876551,0.00019916837,0.0004364867],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024056234,0.00039134058,0.0010857205,0.0003674742,0.00012934404,0.0000054261723,0.00016315629,0.0006569089,0.00014840261],"category_scores_gemma":[0.001102171,0.0003334201,0.00032015075,0.0004010231,0.00054817786,0.00017624111,0.00009693519,0.00054364465,0.000015379694],"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":[0.0017895923,0.0002123755,0.9467352,0.00020062065,0.0010487605,0.000014030776,0.00018720014,0.0000010982715,0.0043060905,0.0008308539,0.00215206,0.04252212],"study_design_scores_gemma":[0.0031534068,0.0007631895,0.9797412,0.00017863621,0.00061571674,0.00004281483,0.000086691965,0.00008467226,0.005783822,0.0076641873,0.0016009969,0.00028464964],"about_ca_topic_score_codex":0.0022641902,"about_ca_topic_score_gemma":0.00033165692,"teacher_disagreement_score":0.04223747,"about_ca_system_score_codex":0.00018738871,"about_ca_system_score_gemma":0.00016174724,"threshold_uncertainty_score":0.9999118},"labels":[],"label_agreement":null},{"id":"W2170473645","doi":"10.1158/1055-9965.epi-14-1363","title":"Association between Regular Aspirin Use and Circulating Markers of Inflammation: A Study within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","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":"Ontario Institute for Cancer Research","funders":"National Institutes of Health","keywords":"Aspirin; Medicine; Internal medicine; Odds ratio; Gastroenterology; Confidence interval; Ulcerative colitis; Colorectal cancer; Oncology; Cancer; Disease","score_opus":0.07601097059411677,"score_gpt":0.36297811207087316,"score_spread":0.2869671414767564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170473645","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":[0.99237454,0.0018784124,0.00030648487,0.0015789279,0.000520818,0.0032728685,0.0000126199975,0.000039847928,0.00001546747],"genre_scores_gemma":[0.99791783,0.000102664744,0.00069864106,0.00007184721,0.0004887602,0.00050569215,0.000054024407,0.00002493783,0.00013558078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960768,0.0020274487,0.00092561194,0.0004109907,0.00025694084,0.00030220035],"domain_scores_gemma":[0.9969818,0.0011717998,0.001192295,0.00021705206,0.00025533672,0.00018169441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009671781,0.0002195704,0.00068622816,0.00013231444,0.00016048546,0.000020791407,0.000065660046,0.00026562397,0.00001084903],"category_scores_gemma":[0.0033043528,0.00016741072,0.000091771566,0.00023898116,0.00017979609,0.00026723556,0.00007196734,0.00025457513,4.261111e-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":[0.008616859,0.000031381598,0.97941214,0.00014101769,0.0015382001,0.000004082484,0.0010297559,0.000046396282,0.0004804195,0.000021829512,0.00081736967,0.00786053],"study_design_scores_gemma":[0.0213718,0.0011651583,0.9707773,0.0005216181,0.0012844794,0.0000064834812,0.0006764969,0.0032317787,0.00029598875,0.00032778934,0.00016161281,0.00017953625],"about_ca_topic_score_codex":0.0011704417,"about_ca_topic_score_gemma":0.00046645882,"teacher_disagreement_score":0.01275494,"about_ca_system_score_codex":0.00031679092,"about_ca_system_score_gemma":0.00027419912,"threshold_uncertainty_score":0.6826811},"labels":[],"label_agreement":null},{"id":"W2171424206","doi":"10.1158/1055-9965.epi-13-0349","title":"Protein Expression of PTEN, Insulin-Like Growth Factor I Receptor (IGF-IR), and Lethal Prostate Cancer: A Prospective Study","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"PI3K/AKT/mTOR signaling 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":"University of Calgary; University of British Columbia","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"PTEN; Prostate cancer; Medicine; Prostate; Cancer; Cancer research; Hazard ratio; Biochemical recurrence; Oncology; Internal medicine; Prostatectomy; PI3K/AKT/mTOR pathway; Biology; Confidence interval; Signal transduction","score_opus":0.024272893935676117,"score_gpt":0.3202832403897428,"score_spread":0.2960103464540667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171424206","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":[0.97827685,0.016398719,0.0006223876,0.00054428296,0.000602486,0.0033693286,0.00009676337,0.000038557788,0.000050654162],"genre_scores_gemma":[0.99177027,0.0014387249,0.0019444763,0.000129907,0.00026963922,0.0036758736,0.000085115484,0.000053453325,0.000632532],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964363,0.001025934,0.00081249897,0.0010351329,0.00016898483,0.000521139],"domain_scores_gemma":[0.9981426,0.00010165354,0.000749233,0.00043954526,0.0003936573,0.00017328156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095170765,0.00039247418,0.00061358087,0.00010744711,0.00013352638,0.000014539215,0.00027688645,0.00039116098,0.00020806481],"category_scores_gemma":[0.000504462,0.0003448055,0.00016691456,0.00017648915,0.0003885621,0.000036823672,0.0002259396,0.00023143615,0.0000079940955],"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":[0.0006748813,0.00017612166,0.38901865,0.00012061349,0.0003895883,8.1099455e-7,0.00026096034,0.000010926244,0.5974726,0.0000100181915,0.003015511,0.008849295],"study_design_scores_gemma":[0.0046500736,0.0029108247,0.42240208,0.0008138373,0.00018079994,0.000007333002,0.00053957966,0.000106898435,0.5629938,0.0023117943,0.0021420615,0.0009408593],"about_ca_topic_score_codex":0.0014125027,"about_ca_topic_score_gemma":0.00020609565,"teacher_disagreement_score":0.034478765,"about_ca_system_score_codex":0.0001730683,"about_ca_system_score_gemma":0.00027461152,"threshold_uncertainty_score":0.9999004},"labels":[],"label_agreement":null},{"id":"W2171430909","doi":"10.1158/1055-9965.epi-12-0229","title":"A Nonsynonymous Polymorphism in<i>IRS1</i>Modifies Risk of Developing Breast and Ovarian Cancers in<i>BRCA1</i>and Ovarian Cancer in<i>BRCA2</i>Mutation Carriers","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"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; Breast Cancer Ireland; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Institute for Health and Care Research; National Cancer Institute; Cancer Research UK; National Institutes of Health; National Center for Research Resources; Cancer Research Institute","keywords":"Nonsynonymous substitution; Ovarian cancer; Breast cancer; Oncology; Cancer; Internal medicine; Medicine; Gynecology; Biology; Genetics; Gene","score_opus":0.02210086605342083,"score_gpt":0.31733203015190087,"score_spread":0.29523116409848005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171430909","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":[0.9444376,0.04979714,0.0023467464,0.0016356921,0.00083014066,0.00067865546,0.00016022986,0.000013788535,0.0001000009],"genre_scores_gemma":[0.9840343,0.011182428,0.0034688807,0.0003361405,0.00019496783,0.0005819443,0.00010023209,0.000042729287,0.00005838983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964597,0.00093623175,0.0009909846,0.00075639156,0.00011830501,0.0007383479],"domain_scores_gemma":[0.99863094,0.00019125915,0.00059825997,0.00033326048,0.00009107723,0.0001552115],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023392327,0.00036190747,0.0006174549,0.00041343583,0.000098972996,0.000010139169,0.00018145441,0.00050216,0.00003014996],"category_scores_gemma":[0.0003505753,0.00039310072,0.00010021836,0.0004914896,0.0004832726,0.00006317079,0.00014271543,0.0002827464,7.5407735e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005058098,0.000044874647,0.94636655,0.000120868885,0.00036191425,0.0000032245532,0.0010312032,0.0013865752,0.01212964,0.00023865706,0.0002217211,0.037588984],"study_design_scores_gemma":[0.0026586931,0.00008023468,0.9892681,0.00042079313,0.000120433106,0.00005496553,0.00060077745,0.00062242267,0.0031700719,0.001723066,0.0007987649,0.0004816309],"about_ca_topic_score_codex":0.014122123,"about_ca_topic_score_gemma":0.029490104,"teacher_disagreement_score":0.04290162,"about_ca_system_score_codex":0.0008396731,"about_ca_system_score_gemma":0.00083163497,"threshold_uncertainty_score":0.99985206},"labels":[],"label_agreement":null},{"id":"W2171529195","doi":"10.1158/1055-9965.epi-13-0334","title":"A Pooled Analysis of Alcohol Consumption and Risk of Multiple Myeloma in the International Multiple Myeloma Consortium","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":19,"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","funders":"National Cancer Institute; National Institutes of Health","keywords":"Multiple myeloma; Medicine; Confidence interval; Alcohol; Alcohol consumption; Logistic regression; Internal medicine; Demography; Case-control study; Proportional hazards model; Incidence (geometry); Environmental health; Oncology; Biology","score_opus":0.06816619433829421,"score_gpt":0.38198889195838703,"score_spread":0.31382269762009285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171529195","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":[0.9936349,0.002981433,0.00057969836,0.0012206829,0.00011006331,0.0012578131,0.00011522767,0.000014610409,0.000085603584],"genre_scores_gemma":[0.99444413,0.002741748,0.0017810093,0.000116605246,0.000028822638,0.00044779765,0.0003463962,0.000010490931,0.0000830086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711275,0.001045651,0.00088915764,0.00040887782,0.00022626018,0.00031732573],"domain_scores_gemma":[0.9964023,0.002276055,0.0006437075,0.000355946,0.000209694,0.00011228894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019221018,0.00018429817,0.00073684653,0.00058366155,0.00005445869,0.000006266308,0.00017159159,0.00017635926,0.00041664156],"category_scores_gemma":[0.002564596,0.00013052371,0.00030567532,0.00042992318,0.00043669532,0.00012528816,0.00006832227,0.00018342653,0.000009538099],"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":[0.0008848789,0.00024602757,0.948909,0.000071042894,0.007920439,0.00000462642,0.00015479885,0.000038031878,0.007451731,0.000033779103,0.00041247773,0.033873204],"study_design_scores_gemma":[0.004121115,0.00015913922,0.9589036,0.00013042866,0.0019917963,0.000007130799,0.00018373525,0.03290238,0.0010821999,0.00035351102,0.0000748689,0.00009008807],"about_ca_topic_score_codex":0.005339089,"about_ca_topic_score_gemma":0.0031513143,"teacher_disagreement_score":0.033783115,"about_ca_system_score_codex":0.000120066856,"about_ca_system_score_gemma":0.00007663441,"threshold_uncertainty_score":0.80711406},"labels":[],"label_agreement":null},{"id":"W2171671952","doi":"10.1158/1055-9965.2133.13.12","title":"Short Tandem Repeat Polymorphism and Cancer Risk: Influence of Laboratory Analysis on Epidemiologic Findings","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Genotype; Microsatellite; Biology; Tandem repeat; Genetics; Allele; Variable number tandem repeat; STR analysis; Gene; Genome","score_opus":0.03364248582461056,"score_gpt":0.3441781685075433,"score_spread":0.31053568268293275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171671952","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":[0.97619474,0.019558687,0.0007205306,0.0025418552,0.00022752366,0.0005250328,0.000085793356,0.000077647404,0.000068177964],"genre_scores_gemma":[0.98005307,0.01718005,0.000924786,0.0013877506,0.000104872284,0.00016126528,0.00008405072,0.000026099222,0.000078088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996305,0.0007466103,0.001291193,0.0008898396,0.00018978401,0.000577606],"domain_scores_gemma":[0.99758273,0.0007152043,0.0006468631,0.000538044,0.000215555,0.00030160783],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030386066,0.00038763607,0.0014843277,0.00059319334,0.00016385378,0.0000041979965,0.00016022884,0.00054573047,0.00007326164],"category_scores_gemma":[0.0021547335,0.00031882702,0.0004573533,0.0011082601,0.00058336055,0.00018027604,0.000067228524,0.00045640863,0.0000065272916],"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":[0.00044199984,0.00009943158,0.9836961,0.00006445708,0.0025054258,0.000008921894,0.000095000185,0.001061513,0.0055198446,0.00027069135,0.000658065,0.005578526],"study_design_scores_gemma":[0.0011789388,0.0005201878,0.98847675,0.00035627148,0.0026014086,0.000005463904,0.00004320947,0.00010156339,0.0033501822,0.0027796484,0.00031345105,0.00027294017],"about_ca_topic_score_codex":0.0020368965,"about_ca_topic_score_gemma":0.00017303537,"teacher_disagreement_score":0.0053055855,"about_ca_system_score_codex":0.00042267152,"about_ca_system_score_gemma":0.00024649774,"threshold_uncertainty_score":0.9999264},"labels":[],"label_agreement":null},{"id":"W2171679412","doi":"10.1158/1055-9965.epi-08-0133","title":"Serum High-Density Lipoprotein Cholesterol and Breast Cancer Risk by Menopausal Status, Body Mass Index, and Hormonal Receptor in Korea","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"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":"","keywords":"Breast cancer; Medicine; Body mass index; Internal medicine; Odds ratio; Endocrinology; Triglyceride; Menopause; Estrogen receptor; Oncology; Cancer; Cholesterol","score_opus":0.008152169289786366,"score_gpt":0.2768785693267218,"score_spread":0.26872640003693543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171679412","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":[0.9607436,0.032776307,0.00080793357,0.0021942013,0.0021046496,0.00058038486,0.00074571144,0.000023416089,0.000023799155],"genre_scores_gemma":[0.94255257,0.0528422,0.0005779229,0.0007635984,0.0022976224,0.00018635446,0.0004165941,0.000029592538,0.0003335211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715334,0.0006982133,0.000537555,0.0008730624,0.000104405255,0.00063339644],"domain_scores_gemma":[0.99897474,0.000042571202,0.00037131985,0.00029352985,0.00006960804,0.0002482035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011006627,0.00034189213,0.0005392856,0.000096207026,0.00012310572,0.000017748225,0.00012849888,0.0004778088,0.00004917827],"category_scores_gemma":[0.00009977207,0.00033523978,0.00006947565,0.000120605626,0.00027278054,0.000029127115,0.00008094341,0.00026789447,0.0000014133242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013056858,0.00008247065,0.3897934,0.00003684309,0.00028106032,2.0880783e-7,0.000030254774,0.000014585295,0.3243209,0.000038648555,0.02888332,0.2552126],"study_design_scores_gemma":[0.002306495,0.00032550417,0.962275,0.00008581536,0.00010363439,0.0000095360365,0.000030660838,0.000069440306,0.0031424244,0.0014946302,0.029785246,0.00037160912],"about_ca_topic_score_codex":0.008660441,"about_ca_topic_score_gemma":0.004282834,"teacher_disagreement_score":0.57248163,"about_ca_system_score_codex":0.00011739598,"about_ca_system_score_gemma":0.00014409328,"threshold_uncertainty_score":0.99990994},"labels":[],"label_agreement":null},{"id":"W2171902402","doi":"10.1158/1055-9965.epi-07-0251","title":"Factors Associated with Human Small Aggressive Non–Small Cell Lung Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","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":"Brock University","funders":"","keywords":"Medicine; Lung cancer; Family history; Internal medicine; Oncology; Odds ratio; Confidence interval; Cancer","score_opus":0.07157887094691168,"score_gpt":0.4053220619999182,"score_spread":0.33374319105300654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171902402","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":[0.9796212,0.010824126,0.0044181505,0.00088223006,0.0006498361,0.0014206184,0.00006120245,0.00012698029,0.001995661],"genre_scores_gemma":[0.99140614,0.0004074995,0.0007409677,0.00065790286,0.00022879217,0.0004072933,0.00079291686,0.00006511011,0.0052933767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975463,0.00024393857,0.00067323056,0.0006581448,0.00013351587,0.0007448544],"domain_scores_gemma":[0.9976418,0.0004623691,0.001026107,0.0003287093,0.00023686446,0.0003041428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009649803,0.00038852965,0.00073351193,0.00021970598,0.00028806375,0.00000896506,0.000128492,0.00035703162,0.00043015808],"category_scores_gemma":[0.00019769253,0.00028510953,0.00026728972,0.00033512892,0.0002094718,0.000088414046,0.00003713199,0.0002773568,0.0000037788827],"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":[0.00022869786,0.0002763648,0.9839908,0.00012014296,0.0025712356,0.000035057008,0.00041600646,0.000043364806,0.0016276161,0.000038458646,0.0037562808,0.0068959673],"study_design_scores_gemma":[0.00393854,0.00045179416,0.9873443,0.0010625707,0.0026503503,0.000003642925,0.00027155803,0.00011416377,0.0029334628,0.00024249284,0.00065319496,0.0003338962],"about_ca_topic_score_codex":0.0016580117,"about_ca_topic_score_gemma":0.0070872186,"teacher_disagreement_score":0.011784946,"about_ca_system_score_codex":0.0012825519,"about_ca_system_score_gemma":0.00044904888,"threshold_uncertainty_score":0.9999601},"labels":[],"label_agreement":null},{"id":"W2172018642","doi":"10.1158/1055-9965.epi-13-0694","title":"Genetic Variation in the Inflammation and Innate Immunity Pathways and Colorectal Cancer Risk","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Peroxisome Proliferator-Activated Receptors","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":"Cancer Care Ontario","funders":"National Cancer Institute","keywords":"Single-nucleotide polymorphism; Colorectal cancer; Medicine; Oncology; Internal medicine; Cancer; SNP; Allele; Body mass index; Immunology; Genotype; Genetics; Biology; Gene","score_opus":0.017230376578705565,"score_gpt":0.28292188845456223,"score_spread":0.26569151187585666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172018642","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":[0.9891566,0.008422595,0.000662233,0.0008444222,0.0002005628,0.00066100917,0.000015181643,0.000011948737,0.000025446107],"genre_scores_gemma":[0.98834676,0.00991175,0.00058602815,0.00015590609,0.00014864345,0.00076254475,0.00006184762,0.000013632076,0.000012896033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974352,0.0014979515,0.00038235763,0.00036798313,0.00005727792,0.0002592473],"domain_scores_gemma":[0.99927515,0.00012871492,0.00030216304,0.00017613775,0.00006252163,0.000055328077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012643256,0.00017272586,0.00020206235,0.00007404622,0.00014305094,0.00001864733,0.00012214847,0.00029969236,0.000037474496],"category_scores_gemma":[0.00040587017,0.00013623427,0.000045627814,0.00012667502,0.0001839141,0.000025336487,0.00008034062,0.00018989698,0.0000026168823],"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":[0.0000917903,0.000019629339,0.4874392,0.000020635693,0.00012921463,2.0694944e-7,0.0002462758,0.000055633907,0.47683936,0.000024260835,0.00031960837,0.034814183],"study_design_scores_gemma":[0.0005863987,0.00013995785,0.9713639,0.00003513938,0.000042604333,0.00000667016,0.00009669307,0.0010934651,0.022999555,0.0030827916,0.00038563448,0.00016720536],"about_ca_topic_score_codex":0.0018859654,"about_ca_topic_score_gemma":0.00076690566,"teacher_disagreement_score":0.4839247,"about_ca_system_score_codex":0.000057402678,"about_ca_system_score_gemma":0.0000714288,"threshold_uncertainty_score":0.55554724},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2175122675","doi":"10.1158/1055-9965.epi-15-0534","title":"A Novel Risk Locus at 6p21.3 for Epstein–Barr Virus-Positive Hodgkin Lymphoma","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":23,"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","funders":"National Institutes of Health; H. Lundbeck A/S; Dansk Kræftforsknings Fond; Generalitat de Catalunya; Fondation de France; Plan Danmark; Kay Kendall Leukaemia Fund; Ministerstvo Zdravotnictví Ceské Republiky; Institut National Du Cancer; Lundbeckfonden; Bundesamt für Strahlenschutz; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Compagnia di San Paolo; Cancerfonden; World Health Organization","keywords":"Lymphoma; Epstein–Barr virus; Hodgkin lymphoma; Medicine; Locus (genetics); Virus; Virology; Biology; Immunology; Genetics; Gene","score_opus":0.05975216620847581,"score_gpt":0.36132730505221644,"score_spread":0.30157513884374065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175122675","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":[0.80784637,0.060054563,0.10106958,0.016047355,0.0043683024,0.005205618,0.0011444207,0.00044724732,0.0038165217],"genre_scores_gemma":[0.9643947,0.0051200176,0.011774952,0.006447961,0.0010629954,0.0022641518,0.0014515296,0.00018701931,0.0072966716],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9968307,0.00053776964,0.00081156037,0.00082058064,0.00019629246,0.0008031093],"domain_scores_gemma":[0.9974901,0.00053287816,0.0008071544,0.00041369387,0.00031281813,0.00044335905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026383451,0.000382013,0.00093460764,0.00017644753,0.00023577915,0.000008937151,0.00016166855,0.000556345,0.00012726257],"category_scores_gemma":[0.0018374523,0.00035072077,0.00055262004,0.00029512343,0.00030975748,0.00015218176,0.000089160174,0.00016403312,0.00005662009],"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":[0.019430986,0.0010557186,0.25502488,0.00024379922,0.00505736,0.00001938461,0.0008174027,0.0002864958,0.01749245,0.00072925305,0.42193994,0.2779023],"study_design_scores_gemma":[0.1276136,0.011619684,0.5120012,0.0024903635,0.008828738,0.00023891388,0.002487567,0.010942948,0.022314148,0.060144123,0.23781405,0.0035046549],"about_ca_topic_score_codex":0.0024099485,"about_ca_topic_score_gemma":0.0019990548,"teacher_disagreement_score":0.27439767,"about_ca_system_score_codex":0.0020269467,"about_ca_system_score_gemma":0.00059392606,"threshold_uncertainty_score":0.9998945},"labels":[],"label_agreement":null},{"id":"W2181015443","doi":"10.1158/1055-9965.epi-15-0893","title":"Circulating DNA and Survival in Solid Tumors","year":2015,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"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":"","keywords":"Confidence interval; Medicine; Internal medicine; Oncology; Circulating tumor DNA; Univariate analysis; Meta-analysis; Multivariable calculus; Multivariate analysis; Cancer","score_opus":0.09523214623474106,"score_gpt":0.41642786441185087,"score_spread":0.3211957181771098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181015443","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":[0.0015038061,0.9961063,0.00024612254,0.0000806614,0.0010499863,0.00067888794,0.000085304084,0.000012280425,0.00023662366],"genre_scores_gemma":[0.00042213348,0.9969744,0.00034357485,0.00010131143,0.00064411,0.000320483,0.00096395845,0.00006422469,0.00016581781],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964776,0.0009205086,0.0011030674,0.00091005757,0.00007743083,0.0005113185],"domain_scores_gemma":[0.99833065,0.00025606703,0.00072735746,0.00043264125,0.00007318604,0.0001800667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00251711,0.00045235595,0.0016891051,0.00016408226,0.000059176844,0.00001329845,0.00023656728,0.00075189595,0.000015934356],"category_scores_gemma":[0.0009243023,0.00044320084,0.00035366125,0.00016526914,0.00019472411,0.0000053000003,0.00026421438,0.000251384,0.0000065176123],"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":[0.000042951808,0.000038515587,0.0031394074,0.00205889,0.0004506551,0.000014294582,0.000015367443,0.000022919601,0.00007060536,0.00010493973,0.0040015113,0.99003994],"study_design_scores_gemma":[0.0005910911,0.00016439514,0.0006708708,0.0043215514,0.00041938352,0.000057339184,0.000026460737,0.000048459297,0.000010400607,0.0016673747,0.99138594,0.0006367146],"about_ca_topic_score_codex":0.00019256897,"about_ca_topic_score_gemma":0.0006195128,"teacher_disagreement_score":0.98940325,"about_ca_system_score_codex":0.00022674145,"about_ca_system_score_gemma":0.000748561,"threshold_uncertainty_score":0.999802},"labels":[],"label_agreement":null},{"id":"W2181062692","doi":"10.1158/1055-9965.1521.13.9","title":"A Case-Control Study of Diet and the Risk of Ovarian Cancer","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":147,"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 Ottawa; Health Canada","funders":"","keywords":"Quartile; Medicine; Odds ratio; Ovarian cancer; Case-control study; Confidence interval; Cruciferous vegetables; Polyunsaturated fatty acid; Population; Vitamin E; Gynecology; Cancer; Internal medicine; Physiology; Biology; Environmental health; Fatty acid","score_opus":0.039163118834153784,"score_gpt":0.3535212207823937,"score_spread":0.3143581019482399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181062692","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":[0.9668104,0.023767242,0.00076496706,0.0060115336,0.00033202217,0.0021304407,0.00010627606,0.000016004396,0.00006110863],"genre_scores_gemma":[0.993433,0.0048218137,0.00053646846,0.00023768142,0.00009651088,0.00082324946,0.000004994785,0.000015099956,0.000031166128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976536,0.00091595534,0.0007262282,0.00037637394,0.00009862704,0.00022923244],"domain_scores_gemma":[0.9979371,0.00078349706,0.00071411463,0.00037464083,0.000104390056,0.000086284745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020523893,0.00018463147,0.00088406645,0.00008604439,0.00009494891,0.0000022222443,0.00006591912,0.00012348511,0.00011415874],"category_scores_gemma":[0.00032940798,0.000113689435,0.00022153421,0.00017135865,0.00039831284,0.00004586649,0.000032699358,0.00013959507,7.496546e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059460644,0.00077672006,0.95525837,0.00010954693,0.005958847,0.00006437468,0.0008513443,0.00030862069,0.00004089201,0.0008030919,0.00022177407,0.02966035],"study_design_scores_gemma":[0.034071706,0.0019673544,0.9521515,0.00034661096,0.0047894833,0.00010207494,0.00056108553,0.00017340641,0.0001032541,0.0055529852,0.00007243081,0.00010810548],"about_ca_topic_score_codex":0.018123655,"about_ca_topic_score_gemma":0.004166458,"teacher_disagreement_score":0.029552246,"about_ca_system_score_codex":0.00017118594,"about_ca_system_score_gemma":0.0001677736,"threshold_uncertainty_score":0.98841476},"labels":[],"label_agreement":null},{"id":"W2186299679","doi":"10.1158/1055-9965.1325.13.8","title":"Risk of Early-Onset Prostate Cancer in Relation to Germ Line Polymorphisms of the Vitamin D Receptor","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":70,"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","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Oncology; Calcitriol receptor; Prostate cancer; Internal medicine; Medicine; Prostate; Vitamin D and neurology; Endocrinology; Cancer research; Cancer","score_opus":0.03581191115889774,"score_gpt":0.3727378350483574,"score_spread":0.33692592388945963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186299679","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":[0.9794953,0.005976803,0.00029185653,0.012132401,0.00044658856,0.0014557695,0.00014728175,0.000017587421,0.00003643936],"genre_scores_gemma":[0.9929882,0.0040700613,0.0015352793,0.00015173129,0.000075221884,0.00041973696,0.000023941268,0.000020922509,0.0007148522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972579,0.0008299121,0.00090553274,0.0003945932,0.00021264778,0.00039940383],"domain_scores_gemma":[0.9982453,0.00039861485,0.0006511952,0.00040073443,0.00019973097,0.00010442016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002507875,0.00018350124,0.0006409724,0.00026197764,0.00007132205,0.0000013642936,0.00015947575,0.00019640867,0.000088537075],"category_scores_gemma":[0.0025125775,0.0001295251,0.00021693831,0.00068537856,0.00043533603,0.00007717685,0.00012839503,0.0003010554,0.0000067786054],"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":[0.00082984666,0.00013171589,0.9640262,0.0001372873,0.00041379037,0.0000012761034,0.0007046496,0.0006555544,0.018366108,0.00003479284,0.0012005323,0.013498228],"study_design_scores_gemma":[0.0019114763,0.00048512156,0.98352534,0.0015164156,0.00015282995,0.0000022128754,0.00009339851,0.000044654735,0.010188525,0.001851803,0.00012158196,0.00010662826],"about_ca_topic_score_codex":0.004526341,"about_ca_topic_score_gemma":0.001951182,"teacher_disagreement_score":0.019499134,"about_ca_system_score_codex":0.0005395325,"about_ca_system_score_gemma":0.00036757876,"threshold_uncertainty_score":0.68425035},"labels":[],"label_agreement":null},{"id":"W2186548136","doi":"10.1158/1055-9965.1156.13.7","title":"Mammographic Density in Relation to Daidzein-Metabolizing Phenotypes in Overweight, Postmenopausal Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Daidzein; Equol; MAMMOGRAPHIC DENSITY; Endocrinology; Internal medicine; Estrone; Breast cancer; Medicine; Hormone; Postmenopausal women; Physiology; Chemistry; Cancer; Mammography; Genistein","score_opus":0.035815081612187126,"score_gpt":0.3739357749443433,"score_spread":0.3381206933321562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186548136","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":[0.9894752,0.0046887035,0.0007458874,0.0035952479,0.0003009851,0.0009756709,0.0000037762054,0.000037203787,0.00017733844],"genre_scores_gemma":[0.9961555,0.0005726235,0.0020609593,0.0006699135,0.00012614235,0.00026767649,0.000043570242,0.00002158513,0.00008204577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743134,0.00061838725,0.000568072,0.00053261296,0.00014898514,0.0007005852],"domain_scores_gemma":[0.9991006,0.00022017848,0.00013211768,0.0002632787,0.00005603851,0.00022778085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028536974,0.00019300534,0.00058055524,0.0006631577,0.00006400735,0.000005094475,0.00009746945,0.00024755741,0.00005973779],"category_scores_gemma":[0.00054503296,0.00016840837,0.0000957386,0.000808911,0.00011410329,0.00013938406,0.000064815,0.000351427,0.000026639054],"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":[0.0015418383,0.00032852788,0.94529134,0.0001094198,0.00019088898,0.00006251014,0.0003452529,0.00042070367,0.033141136,0.0013732613,0.00010982319,0.017085308],"study_design_scores_gemma":[0.002250934,0.0005950192,0.9771331,0.00048209206,0.00003635756,0.000015382824,0.000064909735,0.00010509552,0.00089915143,0.017912282,0.0003481081,0.00015759151],"about_ca_topic_score_codex":0.00119497,"about_ca_topic_score_gemma":0.0012169237,"teacher_disagreement_score":0.032241985,"about_ca_system_score_codex":0.00088370184,"about_ca_system_score_gemma":0.00024156224,"threshold_uncertainty_score":0.6867494},"labels":[],"label_agreement":null},{"id":"W2187281613","doi":"10.1158/1055-9965.583.13.4","title":"Polymorphisms XRCC1-<i>R399Q</i> and XRCC3-<i>T241M</i> and the Risk of Breast Cancer at the Ontario Site of the Breast Cancer Family Registry","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"XRCC1; Breast cancer; XRCC3; Odds ratio; Genotype; Internal medicine; Confidence interval; Family history; Medicine; Oncology; Cancer; Heterozygote advantage; Breast disease; Single-nucleotide polymorphism; Gastroenterology; Biology; Genetics; Gene","score_opus":0.011032762321684016,"score_gpt":0.2617007743595748,"score_spread":0.25066801203789074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187281613","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":[0.9538651,0.03725135,0.00025883765,0.006554452,0.000576614,0.0007142266,0.00067143986,0.00001100178,0.00009694479],"genre_scores_gemma":[0.9831449,0.013318229,0.0002003032,0.0013655563,0.00016650335,0.0002930936,0.000040054623,0.000034651053,0.0014367094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971635,0.00092447724,0.0006820695,0.0006526763,0.00016483395,0.000412491],"domain_scores_gemma":[0.99767745,0.00016667854,0.0010892075,0.0008399142,0.00013332303,0.000093437295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017690256,0.00033029655,0.00054116704,0.00003417441,0.00029350264,0.000008516267,0.0003771408,0.0003455575,0.000057754525],"category_scores_gemma":[0.00010487384,0.00018389481,0.00035213013,0.00015733618,0.0018223262,0.000014994452,0.00045239326,0.00025849068,8.2915017e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023701945,0.00006844684,0.65319836,0.00008703681,0.0013116539,9.074826e-7,0.00036950156,0.0003723292,0.3274114,0.00032242603,0.003950038,0.0105377175],"study_design_scores_gemma":[0.003344413,0.00009570645,0.9592386,0.0003426677,0.00075243716,0.00016061978,0.000110963716,0.00004114938,0.029189277,0.0041249986,0.0023011079,0.00029808513],"about_ca_topic_score_codex":0.08365399,"about_ca_topic_score_gemma":0.09828116,"teacher_disagreement_score":0.30604023,"about_ca_system_score_codex":0.00021454923,"about_ca_system_score_gemma":0.00042299824,"threshold_uncertainty_score":0.92244804},"labels":[],"label_agreement":null},{"id":"W2188771747","doi":"10.1158/1055-9965.epi-15-0649","title":"A Cross-Cancer Genetic Association Analysis of the DNA Repair and DNA Damage Signaling Pathways for Lung, Ovary, Prostate, Breast, and Colorectal Cancer","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":89,"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","funders":"National Cancer Institute; National Institute of General Medical Sciences; Cancer Research UK; Francis Crick Institute","keywords":"DNA repair; Biology; Single-nucleotide polymorphism; Cancer; DNA mismatch repair; Genome-wide association study; Carcinogenesis; Nucleotide excision repair; Genetics; Prostate cancer; Breast cancer; Colorectal cancer; Gene; Genotype","score_opus":0.045847301070763284,"score_gpt":0.3631177536450497,"score_spread":0.31727045257428643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188771747","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":[0.9768518,0.018223403,0.00035692033,0.0013917529,0.0008144016,0.0017308609,0.0005387994,0.00005821747,0.0000338445],"genre_scores_gemma":[0.9941359,0.0012474348,0.0022576912,0.00036740385,0.00020400576,0.0013480852,0.000094007875,0.000039440285,0.00030604235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970474,0.0005952808,0.000871146,0.00072796294,0.00025736552,0.00050080643],"domain_scores_gemma":[0.9972678,0.0006879418,0.0009795688,0.00030108984,0.0005472634,0.00021634907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024709539,0.00030015333,0.0009312103,0.00021691801,0.00015240561,0.000014963228,0.00013203599,0.00038655402,0.000107320564],"category_scores_gemma":[0.0010083432,0.0002358852,0.00041402932,0.00066397485,0.0004114463,0.000104021296,0.00012920437,0.00019152032,2.4036976e-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":[0.001330289,0.00005556293,0.9587092,0.0002490671,0.0041037565,8.87644e-7,0.0003889365,0.0006965387,0.02500325,0.000011841485,0.0029340535,0.0065166107],"study_design_scores_gemma":[0.002123203,0.00031578168,0.9672037,0.00029714723,0.0044946363,0.000008014595,0.0000983223,0.018915338,0.005232364,0.0007564379,0.00032085678,0.00023420525],"about_ca_topic_score_codex":0.0012730239,"about_ca_topic_score_gemma":0.0017372182,"teacher_disagreement_score":0.019770887,"about_ca_system_score_codex":0.0010218737,"about_ca_system_score_gemma":0.0006058161,"threshold_uncertainty_score":0.9619119},"labels":[],"label_agreement":null},{"id":"W2191121687","doi":"10.1158/1055-9965.epi-14-1364","title":"The Influence of Alcohol Consumption, Cigarette Smoking, and Physical Activity on Leukocyte Telomere Length","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Telomere; Quartile; Medicine; Linear regression; Confounding; Alcohol consumption; Physical activity; Cross-sectional study; Physiology; Internal medicine; Environmental health; Demography; Biology; Alcohol; Genetics; Physical therapy; Pathology; Gene; Confidence interval","score_opus":0.10770412619037205,"score_gpt":0.39896744969011916,"score_spread":0.2912633234997471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191121687","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":[0.9912175,0.004356264,0.00008160699,0.0033534719,0.00030245393,0.0004980423,0.000010335491,0.00005517191,0.00012516933],"genre_scores_gemma":[0.9965987,0.0023273528,0.00009305726,0.00046572514,0.00014196208,0.000088799534,0.00001268405,0.000018329261,0.00025337219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781024,0.00066654955,0.00041697716,0.0004896108,0.00022227803,0.0003943181],"domain_scores_gemma":[0.9976997,0.0009776222,0.00045535987,0.0004447026,0.00018743385,0.00023522219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017760829,0.0002378335,0.0005883658,0.00009745767,0.00016175398,0.000006967861,0.00014219143,0.00020051462,0.00001077403],"category_scores_gemma":[0.0013250648,0.00016940008,0.00014577314,0.00016843773,0.00091494556,0.00014039205,0.000064497566,0.0003250102,0.0000071412874],"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":[0.0023051838,0.00021754995,0.86582714,0.00015933214,0.00079900643,0.000008284815,0.0003308196,0.000078300196,0.0047784126,0.0014064317,0.0057148556,0.11837468],"study_design_scores_gemma":[0.0016902598,0.00042424677,0.9866489,0.00039751074,0.0002683487,0.000025081292,0.00007732506,0.00039153866,0.0045341817,0.0027262655,0.0026337188,0.00018260966],"about_ca_topic_score_codex":0.00022767682,"about_ca_topic_score_gemma":0.000059647075,"teacher_disagreement_score":0.120821774,"about_ca_system_score_codex":0.00019047402,"about_ca_system_score_gemma":0.00022035273,"threshold_uncertainty_score":0.69079345},"labels":[],"label_agreement":null},{"id":"W2196692785","doi":"10.1158/1055-9965.epi-15-0812","title":"Exploring the Feasibility of a Broad-Reach Physical Activity Behavior Change Intervention for Women Receiving Chemotherapy for Breast Cancer: A Randomized Trial","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":31,"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; University of Calgary; Alberta Health Services; Athabasca University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pedometer; Breast cancer; Physical therapy; Randomized controlled trial; Chemotherapy; Psychosocial; Cancer; Internal medicine; Physical activity","score_opus":0.3214795545997105,"score_gpt":0.45517331015094353,"score_spread":0.13369375555123303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2196692785","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":[0.97523844,0.0015447023,0.005109735,0.0042313184,0.0023765026,0.011218427,0.0002128357,0.00005599447,0.00001206879],"genre_scores_gemma":[0.92590857,0.0004841989,0.00018123467,0.00014712883,0.0012146163,0.071755454,0.000059389626,0.00003686336,0.000212581],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9969633,0.0012265925,0.0006348853,0.00055114506,0.00015869543,0.00046538684],"domain_scores_gemma":[0.9971042,0.0012682932,0.0007178881,0.00039519774,0.00034436712,0.00017003829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007239341,0.00026126232,0.0013768887,0.00009883523,0.000091954425,0.0000074807917,0.00015475362,0.000150399,0.0000341268],"category_scores_gemma":[0.0009107045,0.00018900269,0.0010632038,0.00020457173,0.00029731344,0.0002514156,0.000041039555,0.0001660114,3.718746e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.57040554,0.00054911507,0.011617418,0.00034214536,0.00056029257,1.4778757e-7,0.0019281455,0.0000012136621,0.0004840909,0.000034271347,0.00028951417,0.4137881],"study_design_scores_gemma":[0.8320892,0.0022051174,0.1532626,0.0009823403,0.0016237183,0.0000093303015,0.001502313,0.0018530298,0.0011120345,0.004075445,0.00088258734,0.0004022895],"about_ca_topic_score_codex":0.0033431868,"about_ca_topic_score_gemma":0.0011710696,"teacher_disagreement_score":0.41338584,"about_ca_system_score_codex":0.00096170924,"about_ca_system_score_gemma":0.00021894637,"threshold_uncertainty_score":0.7707306},"labels":[],"label_agreement":null},{"id":"W2199190603","doi":"10.1158/1055-9965.epi-15-0753","title":"Obesity and the Incidence of Upper Gastrointestinal Cancers: An Ecological Approach to Examine Differences across Age and Sex","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"National Institutes of Health; World Health Organization","keywords":"Obesity; Incidence (geometry); Medicine; Cancer; Quartile; Adenocarcinoma; Demography; Esophageal cancer; Epidemiology; Context (archaeology); Internal medicine; Biology","score_opus":0.12450480793478033,"score_gpt":0.41118531040292206,"score_spread":0.2866805024681417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199190603","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":[0.985028,0.010882833,0.0015832935,0.0013669773,0.000054576114,0.0009137597,0.000018324828,0.00002181854,0.00013036192],"genre_scores_gemma":[0.99268496,0.00054100377,0.0057488903,0.00034158112,0.00008619531,0.00032011973,0.00002901914,0.000008099231,0.00024012831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765444,0.0009124367,0.00037699263,0.00048422004,0.0001612837,0.00041060167],"domain_scores_gemma":[0.9985506,0.0005009828,0.00016785598,0.00024335542,0.00009773991,0.00043946822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028610185,0.00018003726,0.0006193403,0.000050293096,0.00010493792,0.000010177352,0.0001237147,0.00008899458,0.000018893516],"category_scores_gemma":[0.000944207,0.00010631806,0.00006847176,0.00013070299,0.0011057493,0.00009426929,0.00015291462,0.0001766021,0.0000010911164],"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":[0.0014846614,0.00023176108,0.9877116,0.00008082942,0.0001393369,0.000021094425,0.0005903374,0.000007962365,0.000053447744,0.0002213042,0.0003098053,0.009147859],"study_design_scores_gemma":[0.0029325322,0.0018565465,0.9899595,0.00015598215,0.00009178479,0.000136445,0.00076724414,0.00093394314,0.000052287014,0.003002728,0.000024507477,0.00008652142],"about_ca_topic_score_codex":0.0028539111,"about_ca_topic_score_gemma":0.0008304411,"teacher_disagreement_score":0.010341829,"about_ca_system_score_codex":0.0002511071,"about_ca_system_score_gemma":0.00020271503,"threshold_uncertainty_score":0.43355247},"labels":[],"label_agreement":null},{"id":"W2202197024","doi":"10.1158/1055-9965.epi-15-0694","title":"Digoxin Use After Diagnosis of Colorectal Cancer and Survival: A Population-Based Cohort Study","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"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":"Queen's University; Yarmouk University; Queen's University Belfast; Public Health Agency; National Institute for Health and Care Research","keywords":"Medicine; Colorectal cancer; Digoxin; Internal medicine; Population; Cancer; Oncology; Cohort; Cohort study; Proportional hazards model; Confounding; Heart failure","score_opus":0.19942897072172613,"score_gpt":0.4868337639960159,"score_spread":0.2874047932742898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202197024","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":[0.97920734,0.015163553,0.00012140146,0.0008859094,0.002800191,0.0015067126,0.0002158691,0.00005304075,0.00004601354],"genre_scores_gemma":[0.9935356,0.0023704213,0.00038057394,0.000760474,0.00017511674,0.0025226434,0.000091574504,0.000034454522,0.00012917841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99492025,0.0029541836,0.00086206145,0.000614733,0.00016844396,0.000480336],"domain_scores_gemma":[0.99718386,0.0014555905,0.00052514754,0.00021588091,0.00022881113,0.00039073368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040487493,0.0003176763,0.0007851288,0.00019055267,0.00010877521,0.000009563298,0.00018126622,0.00037112704,0.00047456415],"category_scores_gemma":[0.0006420928,0.00030054597,0.00016452857,0.00026650014,0.00028355655,0.00015919465,0.00010387973,0.00032926892,0.000006151763],"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":[0.0015565961,0.000521427,0.9816439,0.000039576866,0.00101869,0.000006580341,0.00018485587,0.0009737454,0.0004639428,0.0000372786,0.0017359448,0.011817447],"study_design_scores_gemma":[0.00315448,0.00018399055,0.98436916,0.000040080224,0.0010280291,0.0000012337648,0.00006181236,0.0029088254,0.0013533467,0.0007027194,0.0059015737,0.00029474066],"about_ca_topic_score_codex":0.0032459102,"about_ca_topic_score_gemma":0.0018163536,"teacher_disagreement_score":0.014328254,"about_ca_system_score_codex":0.00017030329,"about_ca_system_score_gemma":0.00021515413,"threshold_uncertainty_score":0.9999447},"labels":[],"label_agreement":null},{"id":"W2213410766","doi":"10.1158/1055-9965.epi-15-0488","title":"Circulating Biomarkers of Gut Barrier Function: Correlates and Nonresponse to Calcium Supplementation among Colon Adenoma Patients","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Barrier Structure and Function Studies","field":"Neuroscience","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":"Institute of Infection and Immunity","funders":"National Cancer Institute","keywords":"Medicine; Internal medicine; Gut flora; Colorectal adenoma; Placebo; Intestinal permeability; Gastroenterology; Calcium; Colorectal cancer; Body mass index; Endocrinology; Physiology; Immunology; Pathology; Cancer","score_opus":0.10390488788261945,"score_gpt":0.36811250432562037,"score_spread":0.26420761644300095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213410766","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":[0.9848714,0.0008517956,0.009950246,0.0007508187,0.0024323354,0.00078485353,0.00007505507,0.000058210928,0.00022530337],"genre_scores_gemma":[0.9980189,0.000056420384,0.00056302955,0.00074382866,0.000093330105,0.00018722106,0.00004944459,0.000021344733,0.0002664758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674803,0.0012093504,0.0007776067,0.00067477487,0.00020236695,0.00038787437],"domain_scores_gemma":[0.99792224,0.0008363015,0.0005404523,0.00023506186,0.00019450896,0.00027146266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013983877,0.00025027717,0.00044376386,0.00025053168,0.00025302524,0.000013801305,0.00012472754,0.00019717074,0.00012564886],"category_scores_gemma":[0.0026772541,0.00023615571,0.00011346825,0.0004293501,0.0004022956,0.00029267825,0.00013331215,0.00012837538,0.000009699195],"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":[0.0024136882,0.00003801948,0.952909,0.000037201422,0.00021050806,0.0000027694439,0.00073282176,0.00007924123,0.018848566,0.00017796886,0.013077671,0.011472558],"study_design_scores_gemma":[0.0021528434,0.0008998984,0.98623466,0.000112683534,0.0002164629,0.000009648293,0.0008521106,0.0007930153,0.0037052536,0.002377178,0.0023147955,0.0003314315],"about_ca_topic_score_codex":0.00024406673,"about_ca_topic_score_gemma":0.00012334772,"teacher_disagreement_score":0.03332569,"about_ca_system_score_codex":0.00016336655,"about_ca_system_score_gemma":0.000090434514,"threshold_uncertainty_score":0.9630151},"labels":[],"label_agreement":null},{"id":"W2215231357","doi":"10.1158/1055-9965.epi-15-1008","title":"Association between Metformin Use and Mortality after Cervical Cancer in Older Women with Diabetes","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cervical cancer; Metformin; Interquartile range; Diabetes mellitus; Internal medicine; Proportional hazards model; Cumulative dose; Retrospective cohort study; Population; Cancer; Cohort study; Oncology; Gynecology; Endocrinology","score_opus":0.02398868907416465,"score_gpt":0.3121776389569175,"score_spread":0.2881889498827529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215231357","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":[0.91845745,0.080114394,0.00033230975,0.00037793757,0.00022537082,0.00032914497,0.00014005978,0.000013863065,0.000009450685],"genre_scores_gemma":[0.9649025,0.032208707,0.00021387149,0.0006019419,0.00036042306,0.0012127196,0.000053443073,0.000029089368,0.00041729372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997453,0.0006500689,0.00048246622,0.00064490177,0.0001157484,0.00065381825],"domain_scores_gemma":[0.9989232,0.00020959348,0.00032804883,0.00028676563,0.00009534865,0.00015704356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017052216,0.00024864957,0.0004992927,0.00007883426,0.00004555281,0.000012872245,0.000116046496,0.00040096295,0.00025745967],"category_scores_gemma":[0.00031156058,0.00017439968,0.00008128671,0.0001243459,0.00016231016,0.000045500703,0.00007845571,0.000100923964,0.0000027965987],"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":[0.0001675253,0.000024638452,0.8764562,0.000037917638,0.0006670274,5.1603655e-7,0.000029758872,0.0000017634712,0.0027304804,0.000005601053,0.0006859504,0.11919262],"study_design_scores_gemma":[0.00132432,0.00011706573,0.97861195,0.00016034624,0.00016585107,2.2126356e-7,0.000015162204,0.000006231853,0.004088904,0.0008127959,0.014423877,0.00027326506],"about_ca_topic_score_codex":0.00019874776,"about_ca_topic_score_gemma":0.0018493256,"teacher_disagreement_score":0.11891936,"about_ca_system_score_codex":0.00029301774,"about_ca_system_score_gemma":0.00011488993,"threshold_uncertainty_score":0.7111813},"labels":[],"label_agreement":null},{"id":"W2215553937","doi":"10.1158/1055-9965.epi-15-0838","title":"Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"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 Cancer Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Cancer Research UK","keywords":"Breast cancer; Medicine; Cancer; Oncology; Risk assessment; Internal medicine; Gynecology; Obstetrics","score_opus":0.10954978878150075,"score_gpt":0.402339921624495,"score_spread":0.29279013284299427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215553937","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":[0.96426964,0.0073743956,0.01981455,0.0008452263,0.0020529886,0.00091569446,0.004646369,0.000055791577,0.000025322215],"genre_scores_gemma":[0.9829636,0.010378232,0.0018370586,0.0003554412,0.0011146526,0.0011645069,0.00052071444,0.000088964414,0.0015768161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952264,0.0015409921,0.0010853263,0.0011854467,0.00020008555,0.00076177873],"domain_scores_gemma":[0.99723864,0.00015262656,0.0013251108,0.00052509736,0.00037098172,0.00038757003],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042668423,0.00039496337,0.00062872417,0.000117613396,0.0002317824,0.00003067471,0.00028174816,0.0010051044,0.00005845958],"category_scores_gemma":[0.0002784456,0.00041515662,0.00027899607,0.00020107004,0.000459951,0.000053913078,0.00015900233,0.00042107195,0.0000018425308],"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":[0.0023355158,0.0002102823,0.87147576,0.000068504865,0.0032269775,0.0000011551178,0.00020592037,0.03538656,0.0050981343,0.000011953943,0.0576443,0.024334926],"study_design_scores_gemma":[0.004479893,0.0002457627,0.9726317,0.00021183574,0.0006788275,0.00004130643,0.0006948782,0.009500226,0.0001253602,0.008625946,0.002202982,0.00056131487],"about_ca_topic_score_codex":0.0044801054,"about_ca_topic_score_gemma":0.0030105454,"teacher_disagreement_score":0.10115589,"about_ca_system_score_codex":0.0015636253,"about_ca_system_score_gemma":0.001233097,"threshold_uncertainty_score":0.99983},"labels":[],"label_agreement":null},{"id":"W2235391381","doi":"10.1158/1055-9965.epi-15-0257","title":"Systematic Review of Tobacco Use after Lung or Head/Neck Cancer Diagnosis: Results and Recommendations for Future Research","year":2015,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":87,"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 Cancer Institute; Cancer Research Society; American Association for Cancer Research","keywords":"CINAHL; Medicine; PsycINFO; MEDLINE; Lung cancer; Tobacco use; Cancer; Systematic review; Cochrane Library; Prevalence; Physical therapy; Environmental health; Family medicine; Meta-analysis; Epidemiology; Internal medicine; Population; Psychiatry; Psychological intervention","score_opus":0.3655131979397105,"score_gpt":0.5630072188202556,"score_spread":0.19749402088054513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235391381","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":[0.00007356696,0.9840348,0.000034387478,0.0042185034,0.0011402058,0.009347808,0.0011060266,0.00003600064,0.000008721106],"genre_scores_gemma":[0.000013206089,0.95513433,0.0006233234,0.0003686001,0.00046541795,0.04033382,0.0021707905,0.00006513958,0.000825351],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.992014,0.003603353,0.0027196824,0.0008546254,0.00030606703,0.00050226017],"domain_scores_gemma":[0.99316996,0.0030362273,0.0017978554,0.0008007137,0.00097089214,0.00022432186],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01136474,0.0004522827,0.0039931517,0.00042981518,0.00011888033,0.000015447096,0.00019468876,0.00081550825,0.00018539668],"category_scores_gemma":[0.005884833,0.00030824894,0.00067039585,0.0006614141,0.00019339133,0.00019251129,0.000091618145,0.0005295336,0.0000019645406],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036186015,0.000078280784,0.0050044158,0.7049923,0.0010422046,0.0000029367945,0.0000472627,1.8022643e-8,3.2276798e-8,0.000016482696,0.11120501,0.1772492],"study_design_scores_gemma":[0.00067971507,0.00018664311,0.001432279,0.6615085,0.009224357,0.000022046032,0.00004551506,0.0000018788245,2.571496e-7,0.000052032065,0.32664946,0.00019728168],"about_ca_topic_score_codex":0.00034192487,"about_ca_topic_score_gemma":0.0002560665,"teacher_disagreement_score":0.21544446,"about_ca_system_score_codex":0.0010389879,"about_ca_system_score_gemma":0.0010679832,"threshold_uncertainty_score":0.99993694},"labels":[],"label_agreement":null},{"id":"W2236938929","doi":"10.1158/1055-9965.epi-15-0798","title":"Serum Endotoxins and Flagellin and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","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":"Public Health Ontario; University of Toronto","funders":"World Cancer Research Fund; Medical Research Council; Hellenic Health Foundation; Instituto de Salud Carlos III; Wereld Kanker Onderzoek Fonds; Institut Gustave-Roussy; Deutsche Krebshilfe; Mutuelle Générale de l'Education Nationale; Associazione Italiana per la Ricerca sul Cancro; Cancerfonden; Institut National de la Santé et de la Recherche Médicale; World Health Organization; European Commission; Bundesministerium für Bildung und Forschung; Ligue Contre le Cancer; National Institute for Health and Care Research; Cancer Research UK; Deutsches Krebsforschungszentrum; Centre International de Recherche sur le Cancer","keywords":"European Prospective Investigation into Cancer and Nutrition; Flagellin; Medicine; Cancer; Prospective cohort study; EPIC; Colorectal cancer; Internal medicine; Cohort; Oncology","score_opus":0.014840389022974626,"score_gpt":0.28365853632493093,"score_spread":0.2688181473019563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236938929","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":[0.95967996,0.03662075,0.00018526876,0.002173252,0.00025325036,0.00097408786,0.000052221032,0.00001895729,0.0000422558],"genre_scores_gemma":[0.938679,0.060461238,0.000090307105,0.000060857146,0.000040513936,0.00050059066,0.000029056215,0.0000118590615,0.00012658986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953734,0.0034270147,0.0005271167,0.00039808007,0.000029102257,0.000245257],"domain_scores_gemma":[0.9985407,0.0007769538,0.00045873047,0.0001302412,0.000070085414,0.000023282506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032129446,0.00017889986,0.0003556188,0.00014281685,0.0001639681,0.0000056073663,0.000088205794,0.00021857818,0.000055482273],"category_scores_gemma":[0.00037773416,0.00011774521,0.00004982315,0.00013120781,0.0007963001,0.0002091717,0.000056966037,0.00017478871,0.0000032333148],"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":[0.0005409409,0.000023318404,0.74277794,0.00005735038,0.00030423157,6.3509367e-7,0.00076320657,0.0000013832388,0.19639173,0.00023817427,0.00021246585,0.058688596],"study_design_scores_gemma":[0.0019368924,0.00019004852,0.9385557,0.00045444668,0.00015843824,0.000012362454,0.00018538795,0.00002466339,0.052132227,0.0056587523,0.00055179594,0.00013928617],"about_ca_topic_score_codex":0.001998041,"about_ca_topic_score_gemma":0.0027220761,"teacher_disagreement_score":0.19577774,"about_ca_system_score_codex":0.00011218593,"about_ca_system_score_gemma":0.00006432671,"threshold_uncertainty_score":0.480151},"labels":[],"label_agreement":null},{"id":"W2238103902","doi":"10.1158/1055-9965.epi-15-0301","title":"The Association between Leisure Time Physical Activity and Pancreatic Cancer Risk in Adults: A Systematic Review and Meta-analysis","year":2015,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Cancer Foundation; University of Calgary; Alberta Health Services","funders":"Alberta Innovates - Health Solutions; Alberta Cancer Foundation","keywords":"Meta-analysis; Confounding; Medicine; Confidence interval; Relative risk; Cohort study; Demography; Study heterogeneity; Population; Pancreatic cancer; Random effects model; Environmental health; Gerontology; Cancer; Internal medicine","score_opus":0.1452338634647302,"score_gpt":0.47826058784679987,"score_spread":0.3330267243820697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238103902","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":[0.0010674295,0.9909107,0.000030646814,0.0016797398,0.000032031803,0.005955821,0.00025907689,0.00002481035,0.000039764596],"genre_scores_gemma":[0.0001644432,0.99165964,0.000071735165,0.000069012036,0.00010362179,0.0055504413,0.0001684576,0.00003284152,0.0021798268],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9851128,0.011733231,0.0014283874,0.00083501526,0.00031660884,0.000573979],"domain_scores_gemma":[0.987541,0.008712637,0.0026443887,0.0006144779,0.0002335267,0.00025397845],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.012892211,0.00055286125,0.016388103,0.00027799665,0.00016989847,0.000014681004,0.00019226872,0.0006981175,0.00006187675],"category_scores_gemma":[0.004957012,0.00030420642,0.0016558616,0.00085285655,0.00029177027,0.00009027309,0.00012350209,0.0008516444,0.000018494018],"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":[0.00007670775,0.0000836362,0.07607703,0.4727276,0.41273335,0.0000040368072,0.00004827848,1.5259882e-7,6.1344224e-8,0.000008691963,0.001263585,0.036976885],"study_design_scores_gemma":[0.00046264118,0.00012858317,0.017350862,0.04562851,0.932396,0.0000068665126,0.000009203474,0.00017834737,2.4494271e-8,0.00023839058,0.0033580274,0.00024254098],"about_ca_topic_score_codex":0.0013499169,"about_ca_topic_score_gemma":0.00057645293,"teacher_disagreement_score":0.5196627,"about_ca_system_score_codex":0.0012789626,"about_ca_system_score_gemma":0.0006912108,"threshold_uncertainty_score":0.999941},"labels":[],"label_agreement":null},{"id":"W2239283671","doi":"10.1158/1055-9965.epi-15-0588","title":"Physical Activity and Risk of Male Breast Cancer","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Male Breast Health Studies","field":"Medicine","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 Ottawa","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; World Health Organization","keywords":"Medicine; Breast cancer; Confidence interval; Body mass index; Logistic regression; Internal medicine; Oncology; Demography; Physical activity; Gynecology; Cancer; Physical therapy","score_opus":0.07848787939019186,"score_gpt":0.41916147957506195,"score_spread":0.3406736001848701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239283671","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":[0.981453,0.009248127,0.00036756432,0.0076883375,0.00034949603,0.00047290666,0.00009743862,0.000033104654,0.00029005334],"genre_scores_gemma":[0.99297684,0.0049125263,0.0007571129,0.00015699775,0.0003582724,0.00018919903,0.000010130592,0.000015851705,0.00062304357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982287,0.000635643,0.0003134443,0.00038357443,0.000112578244,0.00032603994],"domain_scores_gemma":[0.9985519,0.00033459114,0.00045689408,0.00022827154,0.00017599203,0.00025235585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014056329,0.00017298831,0.0007253047,0.000079209436,0.000060893894,0.0000011687188,0.000052826294,0.00014071495,0.00007932164],"category_scores_gemma":[0.00042063365,0.00014146398,0.00012714624,0.00014144732,0.00039875152,0.000081784674,0.00007520459,0.00019003337,0.0000053615386],"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":[0.0012685761,0.00015018707,0.88833886,0.00026513674,0.000491091,0.0000018473146,0.00011292168,0.0000062328613,0.0004971805,0.00005304186,0.00631283,0.10250209],"study_design_scores_gemma":[0.0014896912,0.00017875961,0.9943814,0.00027457898,0.0005220118,0.000070838316,0.00007213637,0.0010458903,0.00017898082,0.0010729241,0.0006033371,0.00010943562],"about_ca_topic_score_codex":0.00496681,"about_ca_topic_score_gemma":0.00053524866,"teacher_disagreement_score":0.10604256,"about_ca_system_score_codex":0.00019906527,"about_ca_system_score_gemma":0.00027547253,"threshold_uncertainty_score":0.7508364},"labels":[],"label_agreement":null},{"id":"W2262924394","doi":"10.1158/1055-9965.1693.13.11","title":"Temporal Variation and Identification of Factors Associated with Endogenous Retinoic Acid Isomers in Serum from Brazilian Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Retinoids in leukemia and cellular processes","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":true,"ca_institutions":"McGill University","funders":"National Cancer Institute","keywords":"Medicine; Retinoic acid; Endogeny; Logistic regression; Retinol; Internal medicine; Endocrinology; Physiology; Cohort; Vitamin; Retinoid; Chemistry; Biochemistry; Gene","score_opus":0.028937606706589937,"score_gpt":0.2836516939017312,"score_spread":0.2547140871951412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262924394","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":[0.9926661,0.003546179,0.0031166587,0.00015858654,0.00014450926,0.00027645027,0.00005277911,0.000013396859,0.000025320807],"genre_scores_gemma":[0.99816424,0.0006146787,0.000282759,0.00005479414,0.000041319978,0.00008461235,0.00068937434,0.000018790837,0.00004945676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819404,0.000383774,0.00056421664,0.00048514057,0.00008253245,0.00029030317],"domain_scores_gemma":[0.99898773,0.000060710412,0.0005874041,0.00022201412,0.00007561543,0.000066510074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871343,0.00018065143,0.0003132835,0.000085223895,0.000060711314,0.0000066494777,0.00013187056,0.00031963922,0.000019205903],"category_scores_gemma":[0.00045189157,0.00016626419,0.000059081765,0.00017389802,0.00020698406,0.000018799188,0.00003936033,0.00010004737,6.590952e-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":[0.00017277674,0.00006057839,0.53928983,0.000031277545,0.00023557083,9.1108666e-7,0.0004412498,0.0001306839,0.4585914,0.000018279037,0.000012160063,0.0010152683],"study_design_scores_gemma":[0.0014706508,0.00029745404,0.73577154,0.000113237154,0.00005686759,0.0000017514586,0.0003537182,0.00002825177,0.25784832,0.0038183988,0.000037768583,0.000202047],"about_ca_topic_score_codex":0.0004324721,"about_ca_topic_score_gemma":0.00040638619,"teacher_disagreement_score":0.20074308,"about_ca_system_score_codex":0.0002034087,"about_ca_system_score_gemma":0.00019500473,"threshold_uncertainty_score":0.67800564},"labels":[],"label_agreement":null},{"id":"W2274728014","doi":"10.1158/1538-7755.disp13-c68","title":"Abstract C68: Global transcriptome sequencing of ethnically diverse formalin-fixed patient samples identifies biomarkers of recurrence in prostate cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Prostate cancer; Transcriptome; Single-nucleotide polymorphism; Gene; Cancer; Medicine; CHEK2; Oncology; Biology; Internal medicine; Genetics; Gene expression; Genotype; Germline mutation; Mutation","score_opus":0.10085774778281553,"score_gpt":0.40617580184800567,"score_spread":0.30531805406519014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274728014","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":[0.9758337,0.019359598,0.0003921219,0.001962932,0.00068780506,0.0012762118,0.00026060286,0.00003539679,0.00019160975],"genre_scores_gemma":[0.9898847,0.007917355,0.0014604238,0.00012299852,0.000043497545,0.00030819402,0.00018271564,0.0000190854,0.000061031275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996322,0.00065037195,0.0014423605,0.0006096791,0.000314703,0.0006609345],"domain_scores_gemma":[0.9978744,0.00045308494,0.0007957681,0.00037253322,0.00030611196,0.00019810614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024745972,0.0003054155,0.0009779355,0.00026480894,0.00007130069,0.000005437349,0.00020643469,0.00024808323,0.00015980571],"category_scores_gemma":[0.00061298284,0.0002538725,0.00035819938,0.00056613155,0.00070739654,0.00024694522,0.00007511299,0.0002407897,0.0000030483359],"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":[0.004726946,0.00025753272,0.7907502,0.0014925486,0.0010686696,0.00001364418,0.00070115004,0.00011826197,0.06478128,0.00021499056,0.0009803664,0.13489442],"study_design_scores_gemma":[0.004726416,0.00088639284,0.96253973,0.0037087312,0.00036280727,0.000009113551,0.0007337107,0.00043142276,0.021467851,0.0042268746,0.00057034433,0.00033659692],"about_ca_topic_score_codex":0.006151708,"about_ca_topic_score_gemma":0.0023576359,"teacher_disagreement_score":0.17178954,"about_ca_system_score_codex":0.00081432133,"about_ca_system_score_gemma":0.0006038887,"threshold_uncertainty_score":0.99999136},"labels":[],"label_agreement":null},{"id":"W2276043341","doi":"10.1158/1538-7755.disp14-b50","title":"Abstract B50: Elucidating the roles of Kaiso in the metastasis of triple-negative breast cancer cells","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Triple-negative breast cancer; Cancer research; Metastasis; Epithelial–mesenchymal transition; Breast cancer; Metastatic breast cancer; Estrogen receptor; Biology; Vimentin; Cancer; Oncology; Medicine; Internal medicine; Immunohistochemistry","score_opus":0.04042505887003348,"score_gpt":0.3499488006961254,"score_spread":0.3095237418260919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276043341","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":[0.9721037,0.024544891,0.00035617204,0.0016132658,0.00039311688,0.00058998656,0.00009859651,0.000005605876,0.00029466633],"genre_scores_gemma":[0.9970641,0.002150555,0.00028409786,0.00014651926,0.00009937192,0.00013267175,0.000050285358,0.00001295357,0.000059443657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755335,0.0011998332,0.0005864127,0.00029363605,0.00010570492,0.0002610847],"domain_scores_gemma":[0.99861485,0.00027681098,0.00062361214,0.0003179669,0.000116203366,0.000050552328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031794717,0.00017064156,0.00034484587,0.000056494937,0.000050619994,0.000003278822,0.0003124055,0.0002372106,0.000028350016],"category_scores_gemma":[0.0003282799,0.00010080087,0.00021495091,0.00019951227,0.0003354974,0.000009646145,0.000065443055,0.00017850289,0.0000015879112],"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":[0.0024389755,0.0004125285,0.09896046,0.00020426138,0.0026980091,0.000004658497,0.0014516602,0.0028956244,0.77689534,0.00024490003,0.028519312,0.08527425],"study_design_scores_gemma":[0.0038015526,0.00068020547,0.2833184,0.0005288603,0.0006352415,0.000033618962,0.003417792,0.00057419384,0.7013989,0.0033129281,0.0017965061,0.00050180074],"about_ca_topic_score_codex":0.0010709701,"about_ca_topic_score_gemma":0.00060822436,"teacher_disagreement_score":0.18435793,"about_ca_system_score_codex":0.00004133103,"about_ca_system_score_gemma":0.0001817556,"threshold_uncertainty_score":0.41105402},"labels":[],"label_agreement":null},{"id":"W2278300860","doi":"10.1158/1055-9965.67.14.1","title":"Adipose Organochlorine Concentrations and Risk of Breast Cancer Among Postmenopausal Danish Women","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec","funders":"","keywords":"Breast cancer; Quartile; Medicine; Relative risk; Confidence interval; Adipose tissue; Internal medicine; Cancer; Gynecology; Physiology","score_opus":0.012993164337337706,"score_gpt":0.2872270686058667,"score_spread":0.274233904268529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278300860","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":[0.99458313,0.0019709498,0.000352406,0.0016900062,0.00027216593,0.00036507403,0.00047435894,0.000050918934,0.00024100168],"genre_scores_gemma":[0.99470055,0.0032805076,0.0010749773,0.0002399868,0.0001350763,0.000068237976,0.0000073686715,0.000024303818,0.0004690066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977279,0.000492107,0.0005947236,0.0004846004,0.00012865836,0.00057206757],"domain_scores_gemma":[0.99866235,0.00020993197,0.00055175653,0.00029341772,0.000007607666,0.00027495655],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00124671,0.00022411741,0.0004002069,0.00004787512,0.00014198387,0.000006880422,0.00019681315,0.00017128377,0.0070567164],"category_scores_gemma":[0.00022657182,0.00020437,0.000059120233,0.00024843425,0.00079054706,0.00041075223,0.000133362,0.00016491153,0.000034069733],"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":[0.000117238844,0.00006711987,0.84752536,0.0000058611677,0.0003283492,8.1848225e-7,0.00034106488,0.00010924053,0.021793354,0.0000143802035,0.001047481,0.12864973],"study_design_scores_gemma":[0.00071289035,0.00011111828,0.99459934,0.00004243582,0.00016224069,0.00001718017,0.00006353471,0.00056633784,0.002071709,0.0006097929,0.0008422495,0.00020118928],"about_ca_topic_score_codex":0.0017712461,"about_ca_topic_score_gemma":0.0031140423,"teacher_disagreement_score":0.14707395,"about_ca_system_score_codex":0.00085772923,"about_ca_system_score_gemma":0.0000767756,"threshold_uncertainty_score":0.99385095},"labels":[],"label_agreement":null},{"id":"W2280843249","doi":"10.1158/1055-9965.1163.13.7","title":"Insulin, Macronutrient Intake, and Physical Activity: Are Potential Indicators of Insulin Resistance Associated with Mortality from Breast Cancer?","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"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; University of British Columbia","funders":"","keywords":"Insulin resistance; Breast cancer; Insulin; Physical activity; Medicine; Internal medicine; Endocrinology; Cancer; Oncology; Physiology; Environmental health; Physical therapy","score_opus":0.018061660193593485,"score_gpt":0.30126514074536326,"score_spread":0.28320348055176975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280843249","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":[0.8845804,0.1126503,0.00087373,0.00031611923,0.00028290352,0.00032707845,0.000937454,0.000018722658,0.000013341594],"genre_scores_gemma":[0.9624748,0.03622354,0.00019129651,0.00022339444,0.00030976176,0.000189103,0.00033106402,0.000029830442,0.00002721356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977422,0.00050172216,0.0004140365,0.0007659365,0.00016767271,0.00040847654],"domain_scores_gemma":[0.99837744,0.000052964835,0.0009070803,0.00037339443,0.0001309754,0.00015812893],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005653487,0.0003032871,0.0006717339,0.000081253165,0.0001024295,0.000007869006,0.00018915399,0.000348902,0.0000261411],"category_scores_gemma":[0.00015086417,0.0002712414,0.00017085666,0.00025400653,0.0005459796,0.000021156098,0.000099116456,0.00019342334,7.356729e-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":[0.004753562,0.0013750702,0.6756256,0.00023500156,0.0052286186,0.000011140237,0.00028264523,0.0005110762,0.049459837,0.00018309822,0.0018218281,0.26051247],"study_design_scores_gemma":[0.003022457,0.00014491031,0.9656685,0.00039804992,0.00041655064,0.0000014155792,0.00007317406,0.000029248245,0.025470203,0.0026154837,0.0017940106,0.00036598823],"about_ca_topic_score_codex":0.00093607575,"about_ca_topic_score_gemma":0.0025220495,"teacher_disagreement_score":0.29004285,"about_ca_system_score_codex":0.0001521358,"about_ca_system_score_gemma":0.00029482364,"threshold_uncertainty_score":0.99997395},"labels":[],"label_agreement":null},{"id":"W2282319282","doi":"10.1158/1538-7755.disp14-b29","title":"Abstract B29: Differences in physical fitness, disability, and health-related quality of life between physical active and sedentary Hispanic breast cancer survivors","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Physical therapy; Breast cancer; Physical fitness; Anthropometry; Gerontology; Quality of life (healthcare); Waist; Aerobic exercise; Cancer; Obesity; Internal medicine","score_opus":0.15105575150728473,"score_gpt":0.4224851309601887,"score_spread":0.27142937945290396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282319282","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":[0.98049104,0.0065349396,0.000018076202,0.011705402,0.0003686892,0.0005702861,0.00025305053,0.000033263244,0.000025243324],"genre_scores_gemma":[0.9983595,0.00088191644,0.000013765002,0.00018382203,0.00027088032,0.00012123336,0.00013043814,0.000019230809,0.000019198338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673706,0.0010995029,0.0008896093,0.00065322005,0.00021144912,0.00040917937],"domain_scores_gemma":[0.9978964,0.00083608145,0.0004812235,0.00026076817,0.0000990554,0.0004264806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017346833,0.00028348522,0.0015488379,0.0000806629,0.000053755633,0.0000047152917,0.00009958796,0.00021284529,0.000041795654],"category_scores_gemma":[0.00021648401,0.00024041017,0.00017836795,0.00026032832,0.00089915993,0.00017627604,0.00010063101,0.0003572011,9.2783154e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009970542,0.00026113394,0.95430624,0.0004902745,0.00037964375,7.037102e-7,0.0012896354,0.0000029729242,0.00014658818,0.000059735805,0.00016758425,0.041898444],"study_design_scores_gemma":[0.0018756138,0.00023489975,0.9918173,0.00045176435,0.00013540783,0.0000025774773,0.0010444699,0.00015385707,0.000040934872,0.004027478,0.000014030249,0.00020165871],"about_ca_topic_score_codex":0.13989045,"about_ca_topic_score_gemma":0.056565087,"teacher_disagreement_score":0.08332536,"about_ca_system_score_codex":0.00048138894,"about_ca_system_score_gemma":0.00034746903,"threshold_uncertainty_score":0.98036426},"labels":[],"label_agreement":null},{"id":"W2282386364","doi":"10.1158/1055-9965.1552.13.10","title":"Pediatric Cancer in the United States: The Children's Oncology Group Epidemiology Research Program","year":2004,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":29,"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":"Cancer; Medicine; Childhood cancer; Epidemiology; Etiology; Epidemiology of cancer; Incidence (geometry); Pediatrics; Oncology; Internal medicine; Breast cancer","score_opus":0.13261881388955055,"score_gpt":0.5089233839569229,"score_spread":0.3763045700673724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282386364","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":[0.033044286,0.16435485,0.00043133245,0.18414597,0.60021895,0.016070208,0.0009560386,0.0005043448,0.00027403873],"genre_scores_gemma":[0.0035602914,0.20568566,0.0014790632,0.011123952,0.7451284,0.017011572,0.015114176,0.00032331233,0.0005735666],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.94495344,0.043024708,0.0044586933,0.0028352523,0.0014898115,0.0032380668],"domain_scores_gemma":[0.9452596,0.04867741,0.0025405814,0.0021541605,0.00092561904,0.00044267735],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.071134135,0.0011535578,0.0035014537,0.0015338066,0.0007111921,0.00003386842,0.002094494,0.004296991,0.0003207682],"category_scores_gemma":[0.028408362,0.0007482334,0.0010624673,0.0033108685,0.0027063806,0.00015728426,0.00049001793,0.008330007,0.000066019136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0014386849,0.0009202084,0.09376882,0.000739743,0.0014223239,0.000033841316,0.0011780746,0.00022796878,9.19359e-7,0.00026799148,0.8802104,0.019791052],"study_design_scores_gemma":[0.00454536,0.002721143,0.16354565,0.0016790591,0.0014085892,0.00004003722,0.00079640135,0.00012050387,7.4970836e-7,0.015234219,0.8091805,0.0007277943],"about_ca_topic_score_codex":0.07294222,"about_ca_topic_score_gemma":0.031243738,"teacher_disagreement_score":0.17302202,"about_ca_system_score_codex":0.004523448,"about_ca_system_score_gemma":0.005745848,"threshold_uncertainty_score":0.9998906},"labels":[],"label_agreement":null},{"id":"W2285306173","doi":"10.1158/1055-9965.1751.13.11","title":"Risk Factors for Breast Cancer Associated with Mammographic Features in Singaporean Chinese Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":75,"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; Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Breast cancer; Medicine; Mammography; Oncology; Obstetrics; Cancer; Gynecology; Internal medicine","score_opus":0.016762145331975,"score_gpt":0.31970819561531727,"score_spread":0.30294605028334226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285306173","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":[0.99254894,0.0025525468,0.00045549337,0.0027058942,0.000282859,0.00086326554,0.00038025848,0.00010854572,0.00010220514],"genre_scores_gemma":[0.99763817,0.00050324906,0.00042183785,0.0003561134,0.0001084879,0.0005092078,0.0002800362,0.00004128215,0.00014159942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785703,0.00022888544,0.0004956539,0.0005648604,0.0001234453,0.0007301427],"domain_scores_gemma":[0.9985633,0.0004259744,0.00045154887,0.00022531918,0.00011190747,0.00022198395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012123461,0.00033778435,0.0007353687,0.0004885921,0.00012250354,0.000013641878,0.00011431939,0.00023108786,0.000040178747],"category_scores_gemma":[0.00046101722,0.00024095125,0.000334559,0.000917382,0.0003270743,0.0002525201,0.00002014882,0.00028552295,5.304349e-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":[0.0014401947,0.00027052293,0.96761566,0.00006696105,0.001195101,0.000007884696,0.00027323165,0.00018579203,0.00011690402,0.000057207042,0.00023394183,0.0285366],"study_design_scores_gemma":[0.004088418,0.0003413859,0.98246354,0.00092462765,0.00024477034,0.000041021256,0.00021742628,0.00004057814,0.000032108266,0.011301411,0.000043974214,0.0002607323],"about_ca_topic_score_codex":0.0021400605,"about_ca_topic_score_gemma":0.0030217208,"teacher_disagreement_score":0.028275866,"about_ca_system_score_codex":0.0006114438,"about_ca_system_score_gemma":0.00021408986,"threshold_uncertainty_score":0.9825707},"labels":[],"label_agreement":null},{"id":"W2292189639","doi":"10.1158/1055-9965.epi-15-1178","title":"Shift Work, Chronotype, and Melatonin Patterns among Female Hospital Employees on Day and Night Shifts","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; Cancer Care Ontario; Queen's University","funders":"Canadian Institutes of Health Research; Health Canada; Health Research Board","keywords":"Chronotype; Melatonin; Shift work; Evening; Night work; Medicine; Circadian rhythm; Nocturnal; Demography; Internal medicine; Endocrinology; Psychiatry","score_opus":0.03616785072523843,"score_gpt":0.30461585555799037,"score_spread":0.26844800483275194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292189639","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":[0.9908675,0.0033194192,0.0010619571,0.002966548,0.0009242536,0.00046889074,0.000037046608,0.000089044486,0.00026533738],"genre_scores_gemma":[0.9966781,0.0017475671,0.00008028246,0.0003351498,0.0001681776,0.00014596136,0.0000056581866,0.00003344491,0.000805649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971004,0.00080395903,0.00045271625,0.00096706557,0.000108236905,0.00056762254],"domain_scores_gemma":[0.9978209,0.001289307,0.00028873904,0.00033188894,0.000015706097,0.00025343068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092892256,0.00029118225,0.00042354414,0.00014500975,0.00018016131,0.000020552267,0.00015207971,0.00028297672,0.0001602622],"category_scores_gemma":[0.0007337102,0.00021380886,0.0001109981,0.00014600749,0.0006262783,0.0003078082,0.000106760264,0.0001695989,0.000040434123],"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":[0.00008365741,0.000054821696,0.9552212,0.000021200934,0.000046558893,0.000013248804,0.00018380131,8.9220293e-7,0.0008277905,0.003775541,0.0007503919,0.03902094],"study_design_scores_gemma":[0.00084067794,0.00033000874,0.98556125,0.0004895915,0.000041780426,0.0000030567044,0.000013657377,0.0000078107705,0.008075244,0.002344413,0.0019823066,0.00031019695],"about_ca_topic_score_codex":0.000060361283,"about_ca_topic_score_gemma":0.00011264353,"teacher_disagreement_score":0.038710743,"about_ca_system_score_codex":0.00011304233,"about_ca_system_score_gemma":0.000045621004,"threshold_uncertainty_score":0.87188727},"labels":[],"label_agreement":null},{"id":"W2297581298","doi":"10.1158/1055-9965.epi-15-0847","title":"Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","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":"Alberta Health Services","funders":"National Institutes of Health; National Cancer Institute; Robert and Janice McNair Foundation","keywords":"Glioma; Medicine; Association (psychology); Allergy; Psychology; Immunology; Cancer research; Psychotherapist","score_opus":0.05858311142811207,"score_gpt":0.3391916619467986,"score_spread":0.28060855051868655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297581298","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":[0.9613854,0.0007941473,0.0028296115,0.032436714,0.0009909475,0.0011769513,0.00014615344,0.000055295317,0.00018473134],"genre_scores_gemma":[0.9983144,0.0000867585,0.0002016541,0.00025289363,0.0005090962,0.00013484714,0.00006974004,0.000017778577,0.00041283725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956159,0.002449293,0.00074781483,0.000616051,0.00028391543,0.0002870232],"domain_scores_gemma":[0.99164945,0.0066367346,0.0009902329,0.00042531695,0.00021990579,0.00007834077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007980873,0.00019814941,0.00041504198,0.0001130002,0.0005799921,0.00004629699,0.000121703764,0.00017979169,0.00009391726],"category_scores_gemma":[0.0068927505,0.000099223056,0.00015230886,0.00017278474,0.00028795958,0.00007978421,0.000050359733,0.00021090807,0.000009435285],"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":[0.0004263533,0.00008377342,0.96259576,0.0000032887458,0.0028732487,0.000398877,0.0005389467,0.000009390751,0.0008389965,0.00016641934,0.008804658,0.02326027],"study_design_scores_gemma":[0.002802827,0.0001654084,0.9889291,0.00018129259,0.00068003463,0.00054984173,0.00095656764,0.0008811532,0.000064971406,0.003405429,0.0012406601,0.00014269963],"about_ca_topic_score_codex":0.0008330921,"about_ca_topic_score_gemma":0.0006233588,"teacher_disagreement_score":0.036928944,"about_ca_system_score_codex":0.00032242516,"about_ca_system_score_gemma":0.00009922221,"threshold_uncertainty_score":0.82517636},"labels":[],"label_agreement":null},{"id":"W2303235479","doi":"10.1158/1538-7755.disp13-b85","title":"Abstract B85: Racial differences in false-positive mammogram rates: Results from the ACRIN Digital Mammographic Imaging Screening Trial (DMIST)","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Breast cancer screening; Logistic regression; False positive paradox; Cancer; Obstetrics; Gynecology; Demography; Internal medicine; Statistics","score_opus":0.11352166142490354,"score_gpt":0.3933487702226739,"score_spread":0.27982710879777034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303235479","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":[0.9777722,0.005759842,0.0056149545,0.0077749197,0.0009464223,0.0011728337,0.00016928503,0.000107239066,0.00068231346],"genre_scores_gemma":[0.9956771,0.0003459651,0.00096552516,0.0012099086,0.0009513295,0.0001848865,0.00055695575,0.000026981756,0.00008133162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99579376,0.00091026584,0.0013178795,0.00092223485,0.00030118256,0.00075465074],"domain_scores_gemma":[0.99560326,0.0028786093,0.0007050746,0.00047446296,0.00013125884,0.00020735814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037683307,0.00038704087,0.000874932,0.00018088565,0.00023662666,0.00007214699,0.0003474234,0.0002714865,0.00006995089],"category_scores_gemma":[0.0034906857,0.00028798237,0.0004438647,0.00044809646,0.000491694,0.00039567577,0.00010226441,0.0005707848,0.000014978104],"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":[0.031327114,0.00008339461,0.7571542,0.000016000182,0.00031359054,0.000022533475,0.0002682407,0.000015049743,0.00015918231,0.00006416978,0.0020559374,0.20852058],"study_design_scores_gemma":[0.018694352,0.0002959093,0.97174585,0.0014406453,0.00018783691,0.000009926804,0.00049708877,0.0010514685,0.00005594876,0.0044325306,0.0012803341,0.0003081324],"about_ca_topic_score_codex":0.005684141,"about_ca_topic_score_gemma":0.0025098529,"teacher_disagreement_score":0.21459162,"about_ca_system_score_codex":0.00018334028,"about_ca_system_score_gemma":0.00015037783,"threshold_uncertainty_score":0.9999572},"labels":[],"label_agreement":null},{"id":"W2313645883","doi":"10.1158/1055-9965.gwas-71","title":"Abstract 71: Relationship of mammographic density and gene expression analysis of normal breast tissue surrounding breast cancer.","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","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":"Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Gene expression; Medicine; Oncology; Population; Internal medicine; Cancer; Gene signature; Univariate analysis; Cancer research; Gene; Pathology; Biology; Multivariate analysis; Genetics","score_opus":0.03592007282431197,"score_gpt":0.3702122066758445,"score_spread":0.3342921338515325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313645883","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":[0.98315746,0.0084037855,0.0063335183,0.0014660159,0.00032036955,0.00020604476,0.00004348093,0.000022224162,0.000047117304],"genre_scores_gemma":[0.9948977,0.001201242,0.0034100288,0.00008350895,0.00017839838,0.00002441345,0.00014036761,0.0000153725,0.000048926486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980711,0.0004096666,0.00072837697,0.00029515257,0.0001488138,0.00034691603],"domain_scores_gemma":[0.998117,0.00059402245,0.00070351554,0.00024297449,0.00011207648,0.0002303605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029627692,0.00016576269,0.0007583745,0.00047454634,0.000099828685,0.0000028934053,0.000075895194,0.00020644309,0.00020544261],"category_scores_gemma":[0.00037411184,0.0001444577,0.0002326118,0.0005745746,0.00034893805,0.00017822176,0.00004872262,0.0002729414,6.418508e-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":[0.00023654768,0.00008217858,0.92998624,0.00019369101,0.0010962392,0.0000012669743,0.00008905291,0.00008560086,0.047228843,0.00009371562,0.00022207384,0.020684524],"study_design_scores_gemma":[0.00057061197,0.000027834754,0.99377626,0.0004432657,0.0019526606,0.000049067192,0.00004528184,0.0011627451,0.0016356051,0.00018337791,0.0000387318,0.00011458135],"about_ca_topic_score_codex":0.0013723026,"about_ca_topic_score_gemma":0.00007705538,"teacher_disagreement_score":0.06378997,"about_ca_system_score_codex":0.00008998737,"about_ca_system_score_gemma":0.000066982604,"threshold_uncertainty_score":0.5890814},"labels":[],"label_agreement":null},{"id":"W2314745348","doi":"10.1158/1055-9965.gwas-ia14","title":"Abstract IA14: Adipose tissue as a rich information source.","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adipose tissue; Overweight; Cancer; Endocrinology; Medicine; Breast cancer; Internal medicine; Insulin resistance; Obesity; Adipokine; Hormone; Weight loss; Oncology; Bioinformatics; Biology","score_opus":0.023114386080026684,"score_gpt":0.3372863723331215,"score_spread":0.3141719862530948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314745348","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":[0.9467435,0.039526463,0.008826502,0.0010891242,0.0013685616,0.0006125937,0.00005796875,0.000058917005,0.0017164105],"genre_scores_gemma":[0.991302,0.0025119635,0.0013539547,0.0016063297,0.00092850963,0.00021132099,0.0013003027,0.000023438279,0.0007621923],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982348,0.00029443312,0.00054804166,0.0002948985,0.00009479621,0.00053300266],"domain_scores_gemma":[0.99883753,0.000051995015,0.00033170707,0.0003649185,0.000116272124,0.00029760267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010360248,0.00022467853,0.00024083932,0.000097690405,0.00013551515,0.000012544382,0.00016864335,0.0003638141,0.0003450385],"category_scores_gemma":[0.00047929154,0.00023085337,0.00016416388,0.00009477532,0.00015172473,0.00004667775,0.00007350221,0.000095747346,0.00019121627],"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":[0.0014229484,0.0005673324,0.49763325,0.00034157414,0.0009697943,0.0000014574982,0.000302064,0.00013997022,0.12205726,0.00046983227,0.20320639,0.17288813],"study_design_scores_gemma":[0.0018071868,0.00034029406,0.41095847,0.00009678042,0.0002342473,0.000024981233,0.00019590545,0.0000324036,0.036863074,0.0032135476,0.54562277,0.00061034295],"about_ca_topic_score_codex":0.00012617692,"about_ca_topic_score_gemma":0.000036250985,"teacher_disagreement_score":0.34241638,"about_ca_system_score_codex":0.000059921786,"about_ca_system_score_gemma":0.00012304558,"threshold_uncertainty_score":0.9413927},"labels":[],"label_agreement":null},{"id":"W2318094111","doi":"10.1158/1055-9965.271.14.1","title":"Serum Fructosamine and Subsequent Breast Cancer Risk: A Nested Case-Control Study in the ORDET Prospective Cohort Study","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","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":"Immunovaccine (Canada)","funders":"","keywords":"Medicine; Breast cancer; Fructosamine; Odds ratio; Prospective cohort study; Internal medicine; Case-control study; Confidence interval; Cohort study; Cancer; Cohort; Risk factor; Oncology; Gynecology; Insulin","score_opus":0.016795669953583697,"score_gpt":0.3244255028362423,"score_spread":0.30762983288265855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318094111","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":[0.8777067,0.117630385,0.000118929245,0.0004099645,0.00033542392,0.0035355077,0.00022579917,0.000017639128,0.000019666966],"genre_scores_gemma":[0.9811629,0.014553516,0.00006791093,0.0005773503,0.00059575564,0.0028988214,0.000033201144,0.000031547774,0.0000789903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945126,0.0030861194,0.0007191729,0.0009828524,0.00014800741,0.0005512163],"domain_scores_gemma":[0.99860585,0.00015316412,0.00043836547,0.0005595544,0.00013599098,0.000107078915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004437234,0.00036605226,0.0006357507,0.00010071144,0.00020427072,0.000020194162,0.00025142377,0.00022748241,0.00012932629],"category_scores_gemma":[0.00022416611,0.0002743583,0.00013403258,0.00025488518,0.00020186108,0.000022921533,0.00008296614,0.00027059857,0.0000025965137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045033987,0.0005101296,0.91138834,0.000012809531,0.0009788019,0.0000207811,0.00040288054,0.00011461127,0.00022659259,0.00000687567,0.0005283081,0.08535952],"study_design_scores_gemma":[0.0040924447,0.00048663563,0.99116,0.000025781796,0.000532785,0.00010060678,0.0013480831,0.00022263583,0.000077347795,0.00013774369,0.0015131503,0.0003027862],"about_ca_topic_score_codex":0.0031502,"about_ca_topic_score_gemma":0.04894054,"teacher_disagreement_score":0.10345622,"about_ca_system_score_codex":0.00014850052,"about_ca_system_score_gemma":0.00014552065,"threshold_uncertainty_score":0.99997085},"labels":[],"label_agreement":null},{"id":"W2321256643","doi":"10.1158/1055-9965.gwas-43","title":"Abstract 43: The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies.","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","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":"Medicine; Family history; Colorectal cancer; Sigmoidoscopy; Cancer; Population; Cancer registry; Fecal occult blood; Colonoscopy; Internal medicine; Gynecology; Oncology; Gerontology; Environmental health","score_opus":0.12150023529614908,"score_gpt":0.4067274093362627,"score_spread":0.28522717404011366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321256643","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":[0.78253365,0.18978612,0.00071328774,0.020582508,0.0026231513,0.0030861734,0.00015715096,0.000083625055,0.00043432624],"genre_scores_gemma":[0.97127503,0.009731243,0.00369516,0.00647952,0.001472995,0.0047394675,0.00019687497,0.00009118538,0.0023185383],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9967292,0.00047793458,0.00087351893,0.00068847643,0.00024266771,0.0009882274],"domain_scores_gemma":[0.9969081,0.0012436197,0.0006986602,0.00072794256,0.00014845966,0.0002731777],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031756994,0.0004096189,0.00081369194,0.00009345749,0.0002954099,0.0000068999607,0.00027924715,0.00040691262,0.0002851817],"category_scores_gemma":[0.0010360123,0.00029562195,0.000430232,0.0001566182,0.0006522489,0.00009294772,0.00013735343,0.00034358568,0.000029984567],"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":[0.0066917646,0.0004870932,0.3658121,0.0009138723,0.00640921,0.0000073112915,0.001201155,0.0003161119,0.1046644,0.00020139776,0.41366246,0.099633105],"study_design_scores_gemma":[0.0028601238,0.00073607115,0.77042425,0.00051195495,0.0015273318,0.00003361507,0.0012240015,0.00007166935,0.004592085,0.0015325409,0.21596615,0.0005201872],"about_ca_topic_score_codex":0.00046569022,"about_ca_topic_score_gemma":0.00018817066,"teacher_disagreement_score":0.40461215,"about_ca_system_score_codex":0.0013746182,"about_ca_system_score_gemma":0.00027732935,"threshold_uncertainty_score":0.9999496},"labels":[],"label_agreement":null},{"id":"W2321635862","doi":"10.1158/1055-9965.disp-11-a71","title":"Abstract A71: BRCA mutations and surgical decision making in a sample of young black women with invasive breast cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Medicine; Breast cancer; BRCA mutation; Genetic testing; Mastectomy; Family history; Cancer; Genetic counseling; Gynecology; Cohort; Referral; Oncology; Obstetrics; Internal medicine; Family medicine; Genetics","score_opus":0.036516334365619206,"score_gpt":0.33901351067150387,"score_spread":0.3024971763058847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321635862","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":[0.9923676,0.00338628,0.0032067574,0.00016502565,0.00017985664,0.00036100176,0.00014780395,0.000009688677,0.0001759467],"genre_scores_gemma":[0.98993397,0.0020074942,0.0074187256,0.000082621846,0.00006975464,0.00036641516,0.00006761773,0.000025163261,0.000028266775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982072,0.00023617236,0.0005601949,0.00054628507,0.000086675085,0.0003634595],"domain_scores_gemma":[0.9988216,0.00030021154,0.0003925839,0.00026945703,0.00013435273,0.00008179098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008685212,0.00020003345,0.00034298128,0.00014568945,0.000061486026,0.000005006179,0.00015137997,0.00024667406,0.00030071338],"category_scores_gemma":[0.00022169099,0.0001826002,0.00006741562,0.00022053446,0.00047179707,0.00002034587,0.000081288,0.000115944786,0.0000014623865],"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":[0.0020140372,0.00011741863,0.9344953,0.000100339996,0.00046999843,0.0000076116785,0.0010506926,0.0005636042,0.0070014484,0.00008109741,0.00043606383,0.053662445],"study_design_scores_gemma":[0.001301903,0.0001968674,0.9901176,0.00044513302,0.000056382425,0.00003596042,0.0005822436,0.00008766505,0.0020201115,0.004718007,0.00019442917,0.00024369567],"about_ca_topic_score_codex":0.0009928887,"about_ca_topic_score_gemma":0.0050644865,"teacher_disagreement_score":0.055622358,"about_ca_system_score_codex":0.000240939,"about_ca_system_score_gemma":0.00035699084,"threshold_uncertainty_score":0.744622},"labels":[],"label_agreement":null},{"id":"W2323520451","doi":"10.1158/1055-9965.epi-15-1162","title":"Markers of Vitamin D Exposure and Esophageal Cancer Risk: A Systematic Review and Meta-analysis","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","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":"FP7 People: Marie-Curie Actions; Queen's University Belfast; Queen's University; Cancer Research UK","keywords":"Medicine; Vitamin D and neurology; Internal medicine; Gastroenterology; Meta-analysis; Adenocarcinoma; Confidence interval; Relative risk; Cancer; Oncology; Dysplasia; Esophageal cancer; vitamin D deficiency","score_opus":0.11646489717381686,"score_gpt":0.4487382314059845,"score_spread":0.33227333423216765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323520451","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":[0.000011280252,0.9921118,0.00019579752,0.0012055228,0.00008692524,0.005765742,0.0005711033,0.00003194325,0.000019904692],"genre_scores_gemma":[0.000088030145,0.99046385,0.00040261203,0.0001876965,0.000056009336,0.0059112203,0.00008780574,0.000057064615,0.0027457133],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98802316,0.0070054475,0.0028370891,0.0012049618,0.00031030003,0.00061903],"domain_scores_gemma":[0.99203646,0.003031422,0.003369489,0.0009598013,0.00029714,0.00030570317],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.009167193,0.0008231192,0.017676666,0.0007140111,0.00012979556,0.000006969438,0.00025129723,0.00060067634,0.0005012522],"category_scores_gemma":[0.004390705,0.00045367095,0.003754726,0.0008570294,0.00085050124,0.00009631003,0.00027941383,0.00047342872,0.000006748083],"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":[0.0000218954,0.000024947401,0.0013322685,0.6047143,0.3647755,0.0000074684212,0.000009164275,3.9959524e-8,2.9939284e-7,0.000008068864,0.0016044274,0.027501646],"study_design_scores_gemma":[0.0003647474,0.00020097336,0.0017569262,0.16725108,0.82644475,0.000032856784,0.000011239866,0.0000027615324,3.4599543e-7,0.000055479715,0.003581409,0.00029742625],"about_ca_topic_score_codex":0.0002700643,"about_ca_topic_score_gemma":0.00015189989,"teacher_disagreement_score":0.46166924,"about_ca_system_score_codex":0.0003274152,"about_ca_system_score_gemma":0.0003414457,"threshold_uncertainty_score":0.9997915},"labels":[],"label_agreement":null},{"id":"W2324597018","doi":"10.1158/1055-9965.disp-10-b35","title":"Abstract B35: Working to close the gap: Identifying predictors of HPV vaccine initiation among young African American women","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cervical cancer; Vaccination; Incidence (geometry); HPV infection; Human papillomavirus; Quarter (Canadian coin); Young adult; Demography; African american; Family medicine; Gynecology; Gerontology; Immunology; Cancer; Internal medicine","score_opus":0.07048678568643213,"score_gpt":0.4027668423290891,"score_spread":0.332280056642657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324597018","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":[0.98742473,0.00089429686,0.0005233694,0.004245872,0.0011092392,0.0010649948,0.000015518293,0.00007268375,0.0046492843],"genre_scores_gemma":[0.9970237,0.00047921945,0.00039447134,0.0005737503,0.0006935852,0.00052935665,0.00006755455,0.000035024685,0.00020334656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706864,0.0004257476,0.00091644784,0.0005574015,0.00032233648,0.00070939586],"domain_scores_gemma":[0.9973465,0.0008248661,0.000598754,0.0005552162,0.00024060701,0.00043401186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004214689,0.00023557604,0.00068784284,0.00031875347,0.00018572867,0.000016012242,0.00030324547,0.00018692698,0.002740274],"category_scores_gemma":[0.0020659263,0.00017825638,0.00023602486,0.00083103357,0.00039252266,0.00013479237,0.00013778587,0.00066437543,0.000013904185],"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":[0.001198708,0.00008309778,0.8232386,0.0001358595,0.0004061441,0.000004258097,0.00095171575,0.000010528015,0.0043775802,0.0000992791,0.0025186879,0.16697554],"study_design_scores_gemma":[0.00089302164,0.00026624723,0.99325633,0.00007839218,0.0001307747,0.0000067234323,0.000932822,0.00009337915,0.00043084196,0.0015805187,0.002173017,0.00015790867],"about_ca_topic_score_codex":0.002454228,"about_ca_topic_score_gemma":0.0051724934,"teacher_disagreement_score":0.17001775,"about_ca_system_score_codex":0.00041517094,"about_ca_system_score_gemma":0.00023118766,"threshold_uncertainty_score":0.9981713},"labels":[],"label_agreement":null},{"id":"W2326499930","doi":"10.1158/1055-9965.epi-15-1267","title":"Effects of a Structured Exercise Program on Physical Activity and Fitness in Colon Cancer Survivors: One Year Feasibility Results from the CHALLENGE Trial","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","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":true,"ca_institutions":"Queen's University; Juravinski Hospital; Juravinski Cancer Centre; Alberta Health; Alberta Cancer Foundation; Baker Hughes (Canada); Western University; University of British Columbia; BC Cancer Agency; Alberta Health Services; Canadian Cancer Society; Ottawa Hospital; University of Alberta","funders":"National Health and Medical Research Council; Canada Research Chairs; Canadian Cancer Society Research Institute; Alberta Innovates - Health Solutions","keywords":"Medicine; Randomized controlled trial; Physical therapy; Confidence interval; Interim; Psychological intervention; Colorectal cancer; Physical activity; Metabolic equivalent; Relative risk; Physical fitness; Cancer; Gerontology; Internal medicine","score_opus":0.06721061754446228,"score_gpt":0.386243912200118,"score_spread":0.3190332946556557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326499930","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":[0.98675436,0.0029517084,0.000030332443,0.0059436834,0.0008763873,0.0031928204,0.00018138273,0.000042293705,0.000027044203],"genre_scores_gemma":[0.9958512,0.0025079094,0.000045821773,0.000056949786,0.00037764534,0.0010401318,0.000031807318,0.000018957266,0.000069550544],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99704,0.0013117113,0.00043341698,0.0007090664,0.00017562529,0.00033022682],"domain_scores_gemma":[0.99629503,0.002661795,0.00040054828,0.0004582531,0.00007686323,0.00010749884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013418418,0.0002331024,0.0008631303,0.000063086474,0.000047461872,0.0000036610284,0.00012416043,0.00028395018,0.000035609322],"category_scores_gemma":[0.0010379741,0.00014054628,0.00020256393,0.00019323172,0.00039202545,0.00007528668,0.00006125031,0.00023328168,0.0000011626721],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.21908943,0.001710595,0.08537348,0.00040478643,0.00044192115,0.000004109535,0.0009866972,0.0000016435874,0.009134545,0.00007673203,0.0003397771,0.6824363],"study_design_scores_gemma":[0.037058912,0.0014534115,0.948044,0.0023504046,0.00033799338,2.441869e-7,0.00006160218,0.00004374305,0.0068432232,0.0034508028,0.00017188842,0.00018377512],"about_ca_topic_score_codex":0.01575563,"about_ca_topic_score_gemma":0.03873669,"teacher_disagreement_score":0.86267054,"about_ca_system_score_codex":0.00030577244,"about_ca_system_score_gemma":0.0001617108,"threshold_uncertainty_score":0.99079853},"labels":[],"label_agreement":null},{"id":"W2338325819","doi":"10.1158/1538-7755.disp15-c18","title":"Abstract C18: The burden of cancer in indigenous people globally and the World Indigenous Cancer Conference 2016 (WICC16)","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Population; Cancer; Public health; Medicine; Demography; Gerontology; Environmental health; Sociology; Pathology; Biology","score_opus":0.0655389428028106,"score_gpt":0.3919928452943596,"score_spread":0.32645390249154904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338325819","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":[0.8534215,0.10226218,0.00034863723,0.04046822,0.0006950276,0.0018509863,0.00012021831,0.00004075132,0.00079245976],"genre_scores_gemma":[0.96494836,0.03126646,0.00012929336,0.0010914133,0.00035893384,0.0006780552,0.000009746962,0.00002269813,0.0014950448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99676937,0.0006057059,0.0010107206,0.00057931145,0.0002871353,0.0007477523],"domain_scores_gemma":[0.99721676,0.0011018965,0.000806856,0.0004897577,0.00023176233,0.00015297592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033209706,0.0003175892,0.00092379836,0.00016127186,0.0002003248,0.000013874322,0.0004343533,0.00024063748,0.0007757786],"category_scores_gemma":[0.0004111548,0.00015857074,0.00022386608,0.00047497093,0.000972067,0.00018095557,0.00013188258,0.00030765054,0.000008973636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026880726,0.000042415086,0.68371075,0.00013634533,0.0007057906,0.000009539921,0.0023073908,0.00009094769,0.0019568875,0.0005144148,0.004123105,0.30371433],"study_design_scores_gemma":[0.004284899,0.00014107488,0.97907877,0.0042008637,0.00036770766,0.000020002582,0.00053288747,0.000103663006,0.00039233005,0.005724893,0.004876124,0.00027679445],"about_ca_topic_score_codex":0.10196462,"about_ca_topic_score_gemma":0.112856716,"teacher_disagreement_score":0.30343753,"about_ca_system_score_codex":0.00059267256,"about_ca_system_score_gemma":0.0012146835,"threshold_uncertainty_score":0.9040155},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":true,"confidence":"high"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":true,"confidence":"high"}],"label_agreement":"split"},{"id":"W2340122852","doi":"10.1158/1055-9965.epi-15-0990","title":"Systematic Review and Meta-study Synthesis of Qualitative Studies Evaluating Facilitators and Barriers to Participation in Colorectal Cancer Screening","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":295,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Work & Health; University of Toronto; CARE Canada; Cancer Care Ontario; Public Health Ontario; St. Michael's Hospital","funders":"Cancer Care Ontario","keywords":"Colorectal cancer; Medicine; Qualitative research; Cancer; Family medicine; Cancer screening; Thematic analysis; Colorectal cancer screening; Modalities; Oncology; Internal medicine; Colonoscopy","score_opus":0.3244096228883339,"score_gpt":0.5611459750051523,"score_spread":0.23673635211681837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340122852","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":[0.006255057,0.9853131,0.00018311074,0.00048028692,0.00014431744,0.0074885157,0.00009721575,0.000033778488,0.0000045925335],"genre_scores_gemma":[0.005616128,0.97275543,0.00055201055,0.00011024331,0.000029360273,0.020832552,0.0000079521305,0.00003558039,0.000060721144],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9869943,0.009018008,0.002461599,0.0009071591,0.00023184354,0.00038703973],"domain_scores_gemma":[0.9913097,0.0062220474,0.0016581755,0.00026676353,0.00027539462,0.00026789785],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.013243579,0.00053725654,0.007317422,0.00047876916,0.000114305,0.0000050897665,0.00009265628,0.00026335916,0.000060066992],"category_scores_gemma":[0.026125789,0.0003527621,0.00052724296,0.0005888634,0.00025782845,0.00011078983,0.00011650574,0.00023920159,0.0000015312362],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007095548,0.00003844146,0.001921516,0.67809314,0.026901755,0.000002748409,0.0024072954,0.0000022318802,0.0000044139283,0.000005508041,0.00011278632,0.28980064],"study_design_scores_gemma":[0.0009141834,0.0031368888,0.0020763187,0.7913422,0.19721782,0.000020773725,0.0040274723,0.000043846347,0.000014595111,0.00014522742,0.00038668365,0.0006740088],"about_ca_topic_score_codex":0.0005412302,"about_ca_topic_score_gemma":0.0008019569,"teacher_disagreement_score":0.28912663,"about_ca_system_score_codex":0.0005423682,"about_ca_system_score_gemma":0.00031791613,"threshold_uncertainty_score":0.9998924},"labels":[],"label_agreement":null},{"id":"W2340890589","doi":"10.1158/1538-7755.disp15-a38","title":"Abstract A38: Participatory cancer education through illustrated story maps to address cancer health disparities","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Storytelling and Education","field":"Health Professions","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":"Community Based Research Centre","funders":"","keywords":"Cancer prevention; Health equity; Cancer screening; Survivorship curve; Cancer survivorship; Formative assessment; Cancer; Medicine; Medical education; Gerontology; Psychology; Nursing; Public health; Pedagogy","score_opus":0.25730224079988945,"score_gpt":0.5323002146056744,"score_spread":0.274997973805785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340890589","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":[0.70597005,0.08046345,0.0029307895,0.17475665,0.027967118,0.00371429,0.0007532449,0.00053144153,0.0029129642],"genre_scores_gemma":[0.9409205,0.01335804,0.0005281269,0.013312708,0.0021523156,0.009709741,0.0002535923,0.00009277175,0.01967223],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9946895,0.0019065192,0.0012009004,0.0008030086,0.00018301721,0.0012170261],"domain_scores_gemma":[0.99660206,0.0011395242,0.0009835351,0.00047578794,0.00033340964,0.0004657143],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028789374,0.00035211278,0.00066210935,0.00016487832,0.000848844,0.000009332972,0.0002702922,0.00041384652,0.0016301604],"category_scores_gemma":[0.00065072614,0.00027871507,0.00016310236,0.00029239932,0.0002779757,0.0005119361,0.000064129876,0.0004323673,0.0002834645],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025330638,0.00018120893,0.27334753,0.000398916,0.00023219388,3.1428698e-7,0.0014127699,0.000048987393,0.0004499917,0.001085763,0.52448016,0.19810884],"study_design_scores_gemma":[0.000646448,0.000105836334,0.620321,0.0045913346,0.00008404214,4.701528e-7,0.0015558911,0.00000764871,0.00011595873,0.007067384,0.36504003,0.00046398828],"about_ca_topic_score_codex":0.02222737,"about_ca_topic_score_gemma":0.012581198,"teacher_disagreement_score":0.34697345,"about_ca_system_score_codex":0.0027683806,"about_ca_system_score_gemma":0.0042844997,"threshold_uncertainty_score":0.9999665},"labels":[],"label_agreement":null},{"id":"W2344933645","doi":"10.1158/1055-9965.epi-15-1106","title":"A Composite Cytology–Histology Endpoint Allows a More Accurate Estimate of Anal High-Grade Squamous Intraepithelial Lesion Prevalence","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":39,"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 Health and Medical Research Council","keywords":"Cytology; Squamous intraepithelial lesion; Medicine; Histology; Anal cancer; Genotyping; Biopsy; Gynecology; Internal medicine; Cervical cancer; Genotype; Pathology; Human papillomavirus; Cancer; Cervical intraepithelial neoplasia; Biology","score_opus":0.08528673500743111,"score_gpt":0.43306868164735535,"score_spread":0.34778194663992423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344933645","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":[0.94593734,0.010803421,0.018591357,0.021915277,0.00086008926,0.0012830728,0.00019028573,0.0001344717,0.00028469335],"genre_scores_gemma":[0.99227273,0.0028592632,0.0032261035,0.00051492295,0.00022961746,0.00026325067,0.000089742665,0.00003537772,0.00050895795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99576217,0.0011947941,0.0011502471,0.0008386784,0.00025237826,0.00080173067],"domain_scores_gemma":[0.9969427,0.0013082924,0.00057808484,0.0005628824,0.0002824921,0.00032554273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001820029,0.00033654927,0.0011571985,0.0003065197,0.00011656218,0.0000035697426,0.00031034608,0.00046772615,0.0024761711],"category_scores_gemma":[0.0011590127,0.00023320586,0.00037458623,0.00027079068,0.0012394311,0.00013115023,0.00017429741,0.00032974975,0.000038045306],"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":[0.01855971,0.0007653692,0.44713083,0.002119271,0.0012700098,0.00010452461,0.00023793042,0.00009404688,0.21182461,0.0022176376,0.0076218676,0.30805418],"study_design_scores_gemma":[0.005802039,0.0015197331,0.97031695,0.0004918597,0.00055344804,0.00012311908,0.000024582032,0.0012798302,0.010855984,0.0070976624,0.0016019453,0.00033287096],"about_ca_topic_score_codex":0.0009586845,"about_ca_topic_score_gemma":0.00032547474,"teacher_disagreement_score":0.5231861,"about_ca_system_score_codex":0.0004797692,"about_ca_system_score_gemma":0.0003499269,"threshold_uncertainty_score":0.9984357},"labels":[],"label_agreement":null},{"id":"W2400918988","doi":"10.1158/1055-9965.epi-15-1217","title":"Association of Common Susceptibility Variants of Pancreatic Cancer in Higher-Risk Patients: A PACGENE Study","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":32,"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","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; Cancer Research UK","keywords":"Pancreatic cancer; Medicine; Internal medicine; Association (psychology); Cancer; Oncology; Psychology","score_opus":0.07021223995073185,"score_gpt":0.41326729787199123,"score_spread":0.3430550579212594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400918988","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":[0.99410146,0.001496901,0.00016639462,0.001961448,0.00034355518,0.0016002244,0.000118688324,0.000017143748,0.00019417443],"genre_scores_gemma":[0.9954717,0.0024795309,0.00030758895,0.000051775456,0.000063926505,0.00036413036,0.000024655068,0.000015834734,0.0012208255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994345,0.003121191,0.0013697518,0.00046474262,0.00025978973,0.0004395175],"domain_scores_gemma":[0.9955286,0.002290945,0.0012777096,0.00043856603,0.0003507528,0.00011343095],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0056429952,0.00018939079,0.0014129914,0.0002172758,0.00004258542,9.846339e-7,0.00013457192,0.0003255524,0.0011915846],"category_scores_gemma":[0.0028576069,0.00013141969,0.00017932373,0.00034063845,0.00023344053,0.00009281189,0.00006787232,0.00018339146,0.000005740983],"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":[0.0015604706,0.0017025387,0.96829295,0.00014970644,0.0014408112,0.0000017269683,0.0001569166,0.0000019154602,0.0018066311,0.000019596053,0.0009773832,0.023889367],"study_design_scores_gemma":[0.0070009204,0.0014896148,0.9875601,0.0006532279,0.00094642624,3.0642272e-7,0.00008718627,0.00006918456,0.00016769295,0.0018696315,0.00004660042,0.00010910393],"about_ca_topic_score_codex":0.0052157724,"about_ca_topic_score_gemma":0.0058119893,"teacher_disagreement_score":0.023780262,"about_ca_system_score_codex":0.0011405519,"about_ca_system_score_gemma":0.00033339873,"threshold_uncertainty_score":0.99972147},"labels":[],"label_agreement":null},{"id":"W2401102263","doi":"10.1158/1055-9965.epi-15-1318","title":"A Novel Pathway-Based Approach Improves Lung Cancer Risk Prediction Using Germline Genetic Variations","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of General Medical Sciences; University of Texas MD Anderson Cancer Center; University of Toronto; Centre International de Recherche sur le Cancer; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Genome-wide association study; Lung cancer; Context (archaeology); Receiver operating characteristic; Penetrance; Genetic association; Medicine; Oncology; Cancer; Genetic model; SNP; Biology; Genetics; Internal medicine; Single-nucleotide polymorphism; Genotype","score_opus":0.03168048306312613,"score_gpt":0.323857134722542,"score_spread":0.29217665165941586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401102263","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":[0.2582333,0.008179161,0.7307147,0.00095727504,0.0007880829,0.0005647251,0.00047336053,0.000043708827,0.000045687466],"genre_scores_gemma":[0.8738865,0.0030644042,0.11908406,0.00062133034,0.0011265557,0.001025703,0.00053537474,0.000073163545,0.000582899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961589,0.0010713284,0.0009927462,0.0009875168,0.00010962671,0.0006798666],"domain_scores_gemma":[0.9977805,0.00025881064,0.0010053084,0.00055803225,0.00022565326,0.00017172324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019588934,0.00035261022,0.0005030094,0.00014541612,0.00030951257,0.000008706005,0.00025172232,0.00065550115,0.00007482808],"category_scores_gemma":[0.0011534519,0.00028128503,0.0003475393,0.0002057077,0.0002455568,0.000015374817,0.00010205055,0.00014660046,0.0000034418051],"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":[0.00017545505,0.00018349521,0.6564414,0.000046075897,0.0009401525,2.8793656e-7,0.000018179475,0.0064604883,0.29211214,0.000068084446,0.0033072215,0.04024704],"study_design_scores_gemma":[0.0030164244,0.00029497116,0.84950614,0.00015932399,0.00066561566,0.000010919549,0.000022779486,0.13722765,0.0023903942,0.0013911604,0.004694637,0.0006199884],"about_ca_topic_score_codex":0.0007942953,"about_ca_topic_score_gemma":0.00025589622,"teacher_disagreement_score":0.6156532,"about_ca_system_score_codex":0.00028234636,"about_ca_system_score_gemma":0.00051779376,"threshold_uncertainty_score":0.99996394},"labels":[],"label_agreement":null},{"id":"W2402915179","doi":"10.1158/1538-7755.disp15-b50","title":"Abstract B50: Breast cancer in the Caribbean – A six-country cohort","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Medicine; Breast cancer; Cohort; Demography; Afro-Caribbean; Cancer; Population; Incidence (geometry); Gerontology; Gynecology; Internal medicine; Environmental health","score_opus":0.018562273441022695,"score_gpt":0.32380403849901107,"score_spread":0.3052417650579884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402915179","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":[0.9645156,0.021819353,0.0006335962,0.010251992,0.0009266483,0.0007526155,0.00065849506,0.00002490506,0.0004167763],"genre_scores_gemma":[0.98765844,0.009126566,0.00009050626,0.0014108791,0.0006917912,0.0005134429,0.00022485934,0.000024362844,0.0002591482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977619,0.00052320806,0.0005044081,0.0006193564,0.00011212913,0.00047898036],"domain_scores_gemma":[0.9989349,0.00012326355,0.0002387755,0.0004894905,0.00009404168,0.00011949417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014288826,0.00023552103,0.000276078,0.000068649,0.000102128484,0.000009739387,0.00031723696,0.00030524962,0.000279387],"category_scores_gemma":[0.00018893444,0.00015655886,0.00019327154,0.000121839796,0.00030531173,0.000012463584,0.000056601442,0.00009388241,0.0000110983765],"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":[0.0004923021,0.0001330087,0.899453,0.000045243356,0.00024408175,0.0000043451028,0.000018814384,0.000015693262,0.04507247,0.00009545268,0.034525245,0.019900344],"study_design_scores_gemma":[0.0012151113,0.000060964703,0.97955567,0.000156245,0.000093358736,0.00001492056,0.00005957793,0.000007862835,0.0012531572,0.0021182704,0.015212341,0.00025251237],"about_ca_topic_score_codex":0.00068878307,"about_ca_topic_score_gemma":0.0025568802,"teacher_disagreement_score":0.08010268,"about_ca_system_score_codex":0.00010444832,"about_ca_system_score_gemma":0.00022144515,"threshold_uncertainty_score":0.6384285},"labels":[],"label_agreement":null},{"id":"W2403902853","doi":"10.1158/1538-7755.disp15-pr06","title":"Abstract PR06: Racial/ethnic variation in the prevalence of vaccine-preventable human papillomavirus genotypes","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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 British Columbia","funders":"","keywords":"Medicine; Colposcopy; Cervical cancer; Genotyping; Dysplasia; Genital warts; Genotype; Gynecology; HPV vaccines; Obstetrics; Human papillomavirus; Vaccination; Internal medicine; HPV infection; Cancer; Virology","score_opus":0.11983407390849583,"score_gpt":0.45067067924285314,"score_spread":0.3308366053343573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403902853","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":[0.9465467,0.034562845,0.0018282722,0.011225499,0.0004757468,0.0023172346,0.00005818491,0.000063107786,0.0029224392],"genre_scores_gemma":[0.99228615,0.005417011,0.00019963738,0.00035596068,0.00023548328,0.00030843331,0.000019526688,0.000018475654,0.0011593192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704784,0.0008736195,0.0008797996,0.00047776656,0.0002489468,0.00047199917],"domain_scores_gemma":[0.99792325,0.00094023434,0.00038772533,0.00049667817,0.00015626526,0.00009586304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0045511783,0.00018489885,0.0005166979,0.00017766129,0.000085367734,0.000003703108,0.00029198424,0.0002373871,0.0047785365],"category_scores_gemma":[0.00082413387,0.00010963395,0.00021951085,0.00035508024,0.00015940364,0.00016781333,0.0000624021,0.00023024678,0.000027616095],"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":[0.0019419449,0.0004824845,0.5390897,0.0016254507,0.00036721147,0.000008894249,0.00042769784,0.00000595361,0.10857914,0.0012040768,0.0040244753,0.342243],"study_design_scores_gemma":[0.0020099578,0.00030162252,0.9825487,0.000352097,0.0001566394,0.0000046020514,0.00002373062,0.000014397156,0.0017777802,0.011461068,0.0012288312,0.000120549455],"about_ca_topic_score_codex":0.0008088518,"about_ca_topic_score_gemma":0.0012648549,"teacher_disagreement_score":0.44345903,"about_ca_system_score_codex":0.00029225403,"about_ca_system_score_gemma":0.00019625666,"threshold_uncertainty_score":0.99613124},"labels":[],"label_agreement":null},{"id":"W2404924237","doi":"10.1158/1538-7755.disp15-b17","title":"Abstract B17: High expression of the transcription factor Kaiso correlates with aggressive breast cancers (BC) and racial disparity in BC outcomes in women of African ancestry","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related Molecular Pathways","field":"Medicine","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":"McMaster University","funders":"","keywords":"Breast cancer; Cancer research; Progesterone receptor; Tissue microarray; Triple-negative breast cancer; Metastasis; Estrogen receptor; Medicine; Oncology; Internal medicine; Cancer","score_opus":0.027067517614979747,"score_gpt":0.30830121494017493,"score_spread":0.2812336973251952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404924237","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":[0.9937924,0.002973104,0.00032299606,0.0015665821,0.00038874612,0.0007534975,0.00015652037,0.000015420424,0.000030746134],"genre_scores_gemma":[0.99819744,0.0012858253,0.00016574621,0.000051220803,0.000028307533,0.00019902478,0.000014491568,0.000020473197,0.000037469716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977593,0.00043736774,0.00078606594,0.00045547742,0.00017019358,0.00039158514],"domain_scores_gemma":[0.99814785,0.0003477136,0.00102065,0.0003040273,0.0000751528,0.000104599945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006639423,0.00024138582,0.0008080592,0.00018310838,0.00003729642,0.000001928217,0.00012642315,0.0003129323,0.00011173505],"category_scores_gemma":[0.00031836907,0.00014054416,0.00012928867,0.00027556563,0.00061380916,0.00015109872,0.000037197882,0.0002679957,4.8872465e-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":[0.0034015079,0.00012058986,0.8564242,0.00017766334,0.00016476786,0.0000064725937,0.0005485461,0.00006957023,0.11473039,0.000019769424,0.000056334877,0.024280187],"study_design_scores_gemma":[0.004260192,0.00022305283,0.9808551,0.00406683,0.00007333693,0.000011089845,0.0002047866,0.000030744784,0.009437985,0.00065381674,0.00003068885,0.00015235985],"about_ca_topic_score_codex":0.0042897877,"about_ca_topic_score_gemma":0.0041170814,"teacher_disagreement_score":0.12443091,"about_ca_system_score_codex":0.0007968906,"about_ca_system_score_gemma":0.00035977838,"threshold_uncertainty_score":0.6484904},"labels":[],"label_agreement":null},{"id":"W2424148473","doi":"10.1158/1538-7755.disp13-pl03-01","title":"Abstract PL03-01: Origins of ovarian cancer, the biology of premalignancy, and cancer health disparities","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Ontario HIV Treatment Network; University Health Network","funders":"","keywords":"Ovarian cancer; BRCA mutation; Serous carcinoma; Serous fluid; Cancer; Oncology; Internal medicine; Fallopian tube; Breast cancer; Medicine; Biology; Cancer research; Gynecology","score_opus":0.039617716272336775,"score_gpt":0.37416054363351475,"score_spread":0.33454282736117796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2424148473","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":[0.7758377,0.19521584,0.009344238,0.015898874,0.0019917423,0.0009841505,0.00045607385,0.000025802776,0.0002455644],"genre_scores_gemma":[0.96756035,0.029428428,0.001325482,0.00070830743,0.0003232646,0.00038246872,0.00013369868,0.00002753513,0.000110473804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735355,0.0007298873,0.00085376523,0.00056149845,0.0000805606,0.00042072425],"domain_scores_gemma":[0.9980565,0.0002409157,0.000982098,0.0004899129,0.00014066951,0.00008994791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018273992,0.00024411516,0.0005747002,0.00008037876,0.00013749144,0.000004413188,0.0002980502,0.0002997868,0.00008584162],"category_scores_gemma":[0.00027385168,0.0001941948,0.0001691691,0.00015219023,0.0008398812,0.000011226234,0.000118973534,0.0001371528,6.031866e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059585704,0.00014027984,0.5948043,0.00082358683,0.0018207424,2.0170013e-7,0.00026552108,0.0008401153,0.12062926,0.016189143,0.0170787,0.24681228],"study_design_scores_gemma":[0.0022167251,0.0007437839,0.79026127,0.0008070048,0.00028639587,0.000008586019,0.00018931065,0.00044714485,0.058632053,0.0150424065,0.13076653,0.00059879123],"about_ca_topic_score_codex":0.011299555,"about_ca_topic_score_gemma":0.004850462,"teacher_disagreement_score":0.2462135,"about_ca_system_score_codex":0.00021492699,"about_ca_system_score_gemma":0.0007639658,"threshold_uncertainty_score":0.99528426},"labels":[],"label_agreement":null},{"id":"W2460154471","doi":"10.1158/1055-9965.epi-16-0280","title":"Absence of Basal Cell Carcinoma in Irradiated Childhood Cancer Survivors of Black Race: A Report from the St. Jude Lifetime Cohort Study","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","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":"National Cancer Institute","keywords":"Medicine; Cancer; Radiation therapy; Cohort; Population; Basal cell carcinoma; Confidence interval; Cohort study; Internal medicine; Pediatrics; Basal cell","score_opus":0.027142300079271504,"score_gpt":0.3297552586116052,"score_spread":0.3026129585323337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460154471","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":[0.9803997,0.012206295,0.000121496654,0.0037936778,0.000781429,0.0022434623,0.00018192737,0.000022584665,0.00024937984],"genre_scores_gemma":[0.99607325,0.0022202567,0.00023352285,0.00018138318,0.00021185826,0.0005446837,0.00005231644,0.00004067812,0.00044208136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99515754,0.0013848045,0.0017359277,0.0008941893,0.00031260194,0.00051496207],"domain_scores_gemma":[0.9954687,0.0018185095,0.0014484585,0.00092623377,0.00021792727,0.00012018588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035571833,0.00035299445,0.0014498214,0.00016406839,0.00006125926,0.0000020981481,0.00031301848,0.00024220375,0.0004648237],"category_scores_gemma":[0.0010768506,0.00022515895,0.0002772773,0.00046669383,0.0008059149,0.00009645691,0.00016001952,0.00023734389,0.0000068774343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007515298,0.00048131967,0.9866972,0.000066983084,0.0010365747,0.000039558898,0.00067432714,0.000021227777,0.0012939965,0.0000030403728,0.006318956,0.0026153086],"study_design_scores_gemma":[0.0032627212,0.00034923622,0.99293256,0.0006352912,0.00046091762,0.0000063031935,0.0004016243,0.000042911146,0.0010377333,0.00039613576,0.000257291,0.00021725213],"about_ca_topic_score_codex":0.032609463,"about_ca_topic_score_gemma":0.016374433,"teacher_disagreement_score":0.016235027,"about_ca_system_score_codex":0.0004591138,"about_ca_system_score_gemma":0.00056675205,"threshold_uncertainty_score":0.9738325},"labels":[],"label_agreement":null},{"id":"W2460314666","doi":"10.1158/1538-7755.disp14-b58","title":"Abstract B58: Underserved populations in kidney cancer research and treatment","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kidney cancer; Medicine; Cancer; Kidney; Kidney disease; Disease; Internal medicine","score_opus":0.5217126686830379,"score_gpt":0.50391905887323,"score_spread":0.01779360980980793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460314666","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":[0.963967,0.017386073,0.000041564494,0.015962826,0.00042097134,0.0011442124,0.000019620053,0.000041597898,0.0010160828],"genre_scores_gemma":[0.9932394,0.0024369224,0.0010954413,0.0002744513,0.00016842579,0.00077913195,0.0002201702,0.000026882337,0.0017591859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750566,0.0006207983,0.00057789066,0.0005818807,0.00017881044,0.00053497526],"domain_scores_gemma":[0.9984922,0.0002869205,0.00016477438,0.00034078673,0.0001698108,0.00054553995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020797413,0.00022250946,0.0005439949,0.000354665,0.00009053385,0.000008018701,0.00006647739,0.00024234621,0.00017111287],"category_scores_gemma":[0.00048249264,0.0001806891,0.00011450487,0.0003352889,0.00027159287,0.000112823756,0.00004418899,0.00020786547,0.00002298937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009763534,0.00033951708,0.9729722,0.00007369526,0.00033533707,0.000043008677,0.00019235596,0.00004273595,0.0014667871,0.00033805048,0.008320042,0.014899902],"study_design_scores_gemma":[0.004039852,0.000781264,0.97990614,0.000544888,0.00015022633,0.00001802568,0.00027872314,0.0002475581,0.00044530488,0.011137211,0.0022962904,0.00015451972],"about_ca_topic_score_codex":0.0119144805,"about_ca_topic_score_gemma":0.007336862,"teacher_disagreement_score":0.029272338,"about_ca_system_score_codex":0.002388508,"about_ca_system_score_gemma":0.0007417614,"threshold_uncertainty_score":0.99466527},"labels":[],"label_agreement":null},{"id":"W2474851916","doi":"10.1158/1055-9965.epi-16-0223","title":"Exercise and Prostate Cancer: Evidence and Proposed Mechanisms for Disease Modification","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","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":"McGill University; Trinity College","funders":"World Cancer Research Fund","keywords":"Prostate cancer; Cancer; Medicine; Proinflammatory cytokine; Myokine; Disease; Adipokine; Oncology; Immunology; Obesity; Internal medicine; Bioinformatics; Inflammation; Insulin resistance; Biology","score_opus":0.15547121125979732,"score_gpt":0.45517451160286915,"score_spread":0.2997033003430718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474851916","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":[0.00010233966,0.98307616,0.002235271,0.0022613269,0.00068101485,0.011063302,0.00043679634,0.00013841185,0.000005362887],"genre_scores_gemma":[0.00013998331,0.98343176,0.0040504867,0.00014454548,0.00022956009,0.0108056525,0.00036315602,0.00011908491,0.00071575993],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9951581,0.00092174136,0.0014461097,0.0015880173,0.00018963258,0.00069643185],"domain_scores_gemma":[0.9958482,0.0011272324,0.001419108,0.00068162166,0.00026663093,0.00065721],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027098418,0.000752771,0.0023864615,0.00036316374,0.00024403118,0.000024748162,0.00020966082,0.000653014,0.000072522795],"category_scores_gemma":[0.0011999056,0.00055495807,0.0006481617,0.00021338233,0.0006046428,0.00027344117,0.00015648827,0.00021739538,0.000009145698],"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":[0.0015011238,0.00006411579,0.002310671,0.052658025,0.0010642355,0.000007392463,0.000018025168,6.103959e-8,0.000028559081,0.00034383358,0.002279406,0.93972456],"study_design_scores_gemma":[0.0033241396,0.000443048,0.0062184073,0.5071615,0.025104389,0.000038887712,0.00002576853,0.00041316616,0.000056367582,0.026324471,0.4291993,0.0016905579],"about_ca_topic_score_codex":0.000028419552,"about_ca_topic_score_gemma":0.000008434073,"teacher_disagreement_score":0.938034,"about_ca_system_score_codex":0.00057102606,"about_ca_system_score_gemma":0.0011983332,"threshold_uncertainty_score":0.9996902},"labels":[],"label_agreement":null},{"id":"W2493518155","doi":"10.1158/1055-9965.epi-15-1299","title":"Validation of a Novel Biomarker Panel for the Detection of Ovarian Cancer","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":36,"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; University of Toronto; Mount Sinai Hospital","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Ovarian cancer; Biomarker; Medicine; Oncology; Cancer; Internal medicine; Cancer biomarkers; Biology","score_opus":0.1441608985661797,"score_gpt":0.38704332308104056,"score_spread":0.24288242451486086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493518155","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":[0.45891502,0.01975536,0.5028397,0.01388514,0.0020487746,0.0022403467,0.00017977889,0.000072352406,0.00006353328],"genre_scores_gemma":[0.995307,0.0015669459,0.001495568,0.00016663452,0.00022632635,0.000467574,0.000040894938,0.00002523069,0.0007038024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981969,0.00019283763,0.0008517778,0.0003536774,0.00012120505,0.00028362495],"domain_scores_gemma":[0.9970861,0.0013840267,0.00083707325,0.0003352325,0.0002874448,0.00007012293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018095338,0.00017747599,0.00050521956,0.00014493232,0.00009712646,0.0000021283051,0.00011095652,0.00022650644,0.00017037465],"category_scores_gemma":[0.0008399488,0.00010762221,0.00037235793,0.00024078204,0.0003052234,0.00012017089,0.000027981852,0.000049693852,0.0000014038665],"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":[0.0017468708,0.00014367395,0.16597441,0.00021472602,0.0010966278,1.4027438e-7,0.00009094562,0.000023014492,0.43808982,0.00062471704,0.00094137195,0.3910537],"study_design_scores_gemma":[0.0048646876,0.00030409705,0.84023386,0.0009213913,0.0009665547,0.00000968987,0.000060501567,0.0029620922,0.14212483,0.003223031,0.0041400264,0.00018921692],"about_ca_topic_score_codex":0.00097060273,"about_ca_topic_score_gemma":0.00019896292,"teacher_disagreement_score":0.6742595,"about_ca_system_score_codex":0.00014277353,"about_ca_system_score_gemma":0.00017965598,"threshold_uncertainty_score":0.43887064},"labels":[],"label_agreement":null},{"id":"W2507710928","doi":"10.1158/1055-9965.epi-16-0150","title":"Postdiagnosis Weight Change and Survival Following a Diagnosis of Early-Stage Breast Cancer","year":2016,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":69,"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 Cancer Institute","keywords":"Breast cancer; Stage (stratigraphy); Weight change; Medicine; Oncology; Cancer; Weight gain; Body weight; Gynecology; Weight loss; Internal medicine; Obesity; Biology","score_opus":0.06062150058756516,"score_gpt":0.3913579005106275,"score_spread":0.33073639992306236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507710928","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":[0.11902717,0.0769221,0.00006301317,0.00643333,0.7902197,0.0019185521,0.005231214,0.00011116734,0.000073753894],"genre_scores_gemma":[0.05352821,0.29685935,0.00021413468,0.00037563732,0.639752,0.0058762385,0.0010114484,0.0002690101,0.0021139865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954799,0.0007222889,0.0012644435,0.0012324605,0.00047583532,0.0008250734],"domain_scores_gemma":[0.99456656,0.0028257314,0.0013260382,0.0006062011,0.00029375448,0.00038173536],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0018772059,0.00070035266,0.002344139,0.0003982985,0.00012847257,0.000011570295,0.00024855192,0.001758393,0.00086941686],"category_scores_gemma":[0.0008222939,0.00055389665,0.0009502231,0.0002788432,0.00042060393,0.0002466575,0.00018815529,0.00062868756,0.000007938427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084600656,0.000079809375,0.5983612,0.0005377658,0.0020116607,0.000014490943,0.00007669012,7.471518e-8,0.000056810757,0.000010666062,0.35911283,0.03889201],"study_design_scores_gemma":[0.0031631996,0.00044445615,0.52498037,0.0066431477,0.0023391715,0.0000022256947,0.000025533544,0.00000451058,0.00008864939,0.00020036966,0.46149904,0.00060934806],"about_ca_topic_score_codex":0.024393894,"about_ca_topic_score_gemma":0.0032145416,"teacher_disagreement_score":0.21993726,"about_ca_system_score_codex":0.00075957604,"about_ca_system_score_gemma":0.0006198971,"threshold_uncertainty_score":0.99969125},"labels":[],"label_agreement":null},{"id":"W2508655644","doi":"10.1158/1055-9965.epi-15-1193","title":"A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","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":"University of British Columbia; BC Cancer Agency","funders":"National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Cancer Institute; National Center for Chronic Disease Prevention and Health Promotion; National Human Genome Research Institute","keywords":"Multiple myeloma; Biology; Genome-wide association study; Genetics; Single-nucleotide polymorphism; Genetic association; SNP; Gene; Genotype; Immunology","score_opus":0.475409906171085,"score_gpt":0.4810187686094133,"score_spread":0.00560886243832831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508655644","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":[0.00055030215,0.9937676,0.0026450625,0.00043596968,0.00011789164,0.0013275453,0.0009811638,0.000032068394,0.00014239304],"genre_scores_gemma":[0.010661411,0.98380584,0.001503389,0.00002116468,0.000071856375,0.0007671318,0.0019328762,0.0000454167,0.0011908921],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99175245,0.0048967283,0.0016931731,0.0009497337,0.00023075534,0.00047718536],"domain_scores_gemma":[0.9950546,0.0022566475,0.0017501402,0.00052601815,0.00016997942,0.00024259294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028749167,0.0004837,0.0043356926,0.0014348889,0.00013979891,0.000008700874,0.00015098586,0.0003059383,0.00038860465],"category_scores_gemma":[0.0018187858,0.00032101796,0.002600205,0.0011873083,0.0005472618,0.00013374264,0.0001195604,0.00035874016,0.000018770716],"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":[0.00029481045,0.00024418294,0.10532008,0.0022585348,0.34707448,0.000042882097,0.00006215654,0.000016629705,0.0000035434948,0.00014503983,0.0010247825,0.5435129],"study_design_scores_gemma":[0.0016027552,0.00016470678,0.53117007,0.0023528917,0.41973224,0.000026924288,0.00006222031,0.00021138047,0.0000010759745,0.001771737,0.042497825,0.0004061716],"about_ca_topic_score_codex":0.00092384673,"about_ca_topic_score_gemma":0.0018190389,"teacher_disagreement_score":0.54310673,"about_ca_system_score_codex":0.00033437682,"about_ca_system_score_gemma":0.00028697253,"threshold_uncertainty_score":0.9999242},"labels":[],"label_agreement":null},{"id":"W2509287503","doi":"10.1158/1538-7755.disp14-b78","title":"Abstract B78: Outcomes of mammography in the National Breast and Cervical Cancer Early Detection Program","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Underinsured; Breast cancer; Obstetrics; Breast cancer screening; Cervical cancer; Gynecology; Odds ratio; Population; Cancer screening; Logistic regression; Cancer; Internal medicine; Health care","score_opus":0.1770303942183753,"score_gpt":0.4490355558523784,"score_spread":0.2720051616340031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509287503","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":[0.9874433,0.005178822,0.00014803665,0.0058622416,0.00024424875,0.0006733595,0.000021605652,0.00003327926,0.0003950568],"genre_scores_gemma":[0.99769825,0.0002588793,0.000686443,0.0007954092,0.00012413034,0.00038543934,0.000019108287,0.000008763896,0.000023559824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830544,0.000299404,0.00053350284,0.00030762513,0.0002773316,0.0002766919],"domain_scores_gemma":[0.99902666,0.00023443856,0.00027876376,0.00012574588,0.00021881607,0.00011558229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025103365,0.00015089655,0.0004027242,0.00013705037,0.00004923868,0.0000071370255,0.00010639927,0.00018729313,0.000036429665],"category_scores_gemma":[0.00029082823,0.00010597092,0.00015351515,0.0003481108,0.00026373944,0.00015217956,0.000027060063,0.00021402191,0.0000019021942],"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":[0.0005244764,0.00008324722,0.9038015,0.000045819306,0.00017984424,0.0000025128068,0.00011601091,0.000013183636,0.00020031701,0.00007721477,0.0007333665,0.09422253],"study_design_scores_gemma":[0.0011093678,0.0002441773,0.9940957,0.00020858264,0.00010260981,0.00003964859,0.00021220084,0.00016906153,0.000049449216,0.0031612907,0.0005130627,0.00009485669],"about_ca_topic_score_codex":0.0047873575,"about_ca_topic_score_gemma":0.0026263027,"teacher_disagreement_score":0.09412767,"about_ca_system_score_codex":0.00017596764,"about_ca_system_score_gemma":0.0001678711,"threshold_uncertainty_score":0.7237084},"labels":[],"label_agreement":null},{"id":"W2514708596","doi":"10.1158/1055-9965.epi-16-0200","title":"Systematic Review of Genetic Variation in Chromosome 5p15.33 and Telomere Length as Predictive and Prognostic Biomarkers for Lung Cancer","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"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; Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Telomere; Lung cancer; Chromosome; Oncology; Variation (astronomy); Biology; Cancer; Medicine; Genetics; Internal medicine; DNA; Gene","score_opus":0.02878722521412272,"score_gpt":0.3774887798111391,"score_spread":0.34870155459701635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514708596","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":[0.00039939163,0.98971206,0.0022695092,0.00022577248,0.00031360987,0.006555562,0.00049334235,0.000011670335,0.000019077925],"genre_scores_gemma":[0.00032994125,0.98783946,0.000611719,0.00010644142,0.00015528039,0.010409053,0.00031725556,0.000059975006,0.00017085983],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99535847,0.0013156339,0.0017929995,0.0010171807,0.000107308704,0.00040840148],"domain_scores_gemma":[0.9967883,0.0005201297,0.001867395,0.00051456335,0.00019067775,0.00011888209],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001986751,0.0004987565,0.0021856695,0.00021478218,0.00007980009,0.000008819404,0.00024083703,0.0006418204,0.000029025836],"category_scores_gemma":[0.0014843134,0.0003822217,0.00039551719,0.00023258495,0.00027214526,0.000017807914,0.000104742256,0.00012388815,9.189125e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010491729,0.00005514538,0.0015310283,0.8593272,0.0033168653,8.7012813e-7,0.000019943798,0.0000013938953,0.0002671011,0.00009636708,0.0011717958,0.13410737],"study_design_scores_gemma":[0.001112685,0.0005376824,0.003498315,0.95963556,0.0074028163,0.00004704426,0.00001758251,0.00019621212,0.000023358969,0.00056001183,0.026152238,0.0008164991],"about_ca_topic_score_codex":0.00009348736,"about_ca_topic_score_gemma":0.000051517676,"teacher_disagreement_score":0.13329087,"about_ca_system_score_codex":0.00022927832,"about_ca_system_score_gemma":0.00061444135,"threshold_uncertainty_score":0.99986297},"labels":[],"label_agreement":null},{"id":"W2518263947","doi":"10.1158/1055-9965.epi-16-0346","title":"The Impact of Receiving Predictive Genetic Information about Lynch Syndrome on Individual Colonoscopy and Smoking Behaviors","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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":"Cancer Care Ontario; Centre for Global Health Research; University of Toronto","funders":"National Cancer Institute","keywords":"Lynch syndrome; Colonoscopy; Colorectal cancer; Medicine; Genetic testing; Population; Cancer; Genetic predisposition; Cancer prevention; Oncology; Internal medicine; Disease; DNA mismatch repair; Environmental health","score_opus":0.03296530093082731,"score_gpt":0.36861171904086765,"score_spread":0.33564641811004037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518263947","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":[0.99365395,0.003064396,0.0009612015,0.0006743467,0.00058772165,0.0008682341,0.00006734869,0.00003410075,0.00008871427],"genre_scores_gemma":[0.9969665,0.0019894892,0.0005480593,0.00008747149,0.000050227292,0.00026771106,0.000024368479,0.000016547,0.00004963559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792933,0.000472656,0.0007254028,0.00029472358,0.00018636009,0.00039155103],"domain_scores_gemma":[0.99762064,0.0011927293,0.0006150644,0.00030082458,0.0001389856,0.00013176871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015050941,0.00021718966,0.0004401734,0.00016487342,0.00014693165,0.00000879252,0.0001399851,0.000267846,0.000102660524],"category_scores_gemma":[0.001101106,0.00012502781,0.0001823128,0.00016963498,0.0004914463,0.0001549215,0.000074388605,0.00016597321,0.000004216667],"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":[0.0013103059,0.000030579566,0.89933336,0.000036643873,0.0005952597,0.0000013281169,0.00017065191,0.000042180425,0.0015241352,0.000011834785,0.00132938,0.09561434],"study_design_scores_gemma":[0.0012155991,0.0030395663,0.9924867,0.00080196885,0.00026337735,0.00004823652,0.000047845897,0.000102850216,0.0008789701,0.0008719716,0.000118411765,0.00012445974],"about_ca_topic_score_codex":0.00026727834,"about_ca_topic_score_gemma":0.000044891083,"teacher_disagreement_score":0.09548988,"about_ca_system_score_codex":0.0005714745,"about_ca_system_score_gemma":0.00027744003,"threshold_uncertainty_score":0.50984865},"labels":[],"label_agreement":null},{"id":"W2523981014","doi":"10.1158/1055-9965.epi-16-0522","title":"The Association between Alcohol Consumption and Breast Density: A Systematic Review and Meta-analysis","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":51,"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; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Meta-analysis; Medicine; Alcohol consumption; Confidence interval; Alcohol; Internal medicine; Association (psychology); Oncology; Cancer; Psychology; Biology","score_opus":0.20231326894239082,"score_gpt":0.4602994935406251,"score_spread":0.2579862245982343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523981014","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":[0.000010047127,0.9921892,0.00024604303,0.0031784144,0.00011088705,0.0039201146,0.00030029108,0.0000365296,0.000008441765],"genre_scores_gemma":[0.00005260892,0.99619204,0.00004106346,0.00038419798,0.00009972962,0.00141048,0.00026362334,0.000031895903,0.0015243907],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9934874,0.0033216916,0.0018525667,0.00074034673,0.00019570581,0.00040226022],"domain_scores_gemma":[0.9925077,0.003582006,0.002967582,0.000586296,0.00016174457,0.00019464904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007372471,0.00050321495,0.009090297,0.00023445702,0.00021673962,0.000023462953,0.00012351148,0.00058280415,0.00012172766],"category_scores_gemma":[0.0010718446,0.00025036754,0.002518359,0.0003451761,0.0002093405,0.00008137149,0.00008815993,0.00031468822,0.000021814296],"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":[0.00001344658,0.000009479274,0.014052799,0.42414975,0.48449036,0.0000013906421,0.000005326736,6.0926713e-9,8.812792e-8,0.00004049945,0.0017601892,0.07547667],"study_design_scores_gemma":[0.00019854386,0.000028828885,0.005652238,0.047528308,0.90640974,0.000052143692,0.0000020651612,9.626784e-7,4.4100382e-8,0.0001354689,0.03976268,0.00022895011],"about_ca_topic_score_codex":0.00015455691,"about_ca_topic_score_gemma":0.00018101111,"teacher_disagreement_score":0.4219194,"about_ca_system_score_codex":0.000691218,"about_ca_system_score_gemma":0.00015822946,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W2524924931","doi":"10.1158/1055-9965.epi-16-0465","title":"Associations of Postdiagnosis Physical Activity and Change from Prediagnosis Physical Activity with Quality of Life in Prostate Cancer Survivors","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","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":"Alberta Health; University of Alberta; Alberta Cancer Foundation; University of Calgary; Alberta Health Services","funders":"Health Research Board","keywords":"Quality of life (healthcare); Prostate cancer; Medicine; Physical activity; Confidence interval; Physical therapy; Cancer; Internal medicine","score_opus":0.10833974128287946,"score_gpt":0.4049316237560146,"score_spread":0.29659188247313517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524924931","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":[0.9888994,0.0015714722,0.00009712633,0.006965627,0.000235648,0.0009102728,0.0012758523,0.000028842542,0.000015724689],"genre_scores_gemma":[0.9962893,0.0022748369,0.000047964204,0.00010212806,0.00022223758,0.00096912665,0.000042179374,0.000023731456,0.00002849186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997242,0.0012047449,0.00040404726,0.0005803217,0.00022059694,0.00034831683],"domain_scores_gemma":[0.9957729,0.0027151087,0.0008546607,0.00031406948,0.0001793614,0.0001639034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009426115,0.000249791,0.0012847121,0.00012564061,0.000040062645,0.0000023956563,0.00008682183,0.00017546237,0.000036675123],"category_scores_gemma":[0.00075252133,0.0001784532,0.00022598343,0.00033536277,0.00041415213,0.00026446895,0.000066149296,0.00017749357,7.1586845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019271979,0.000802458,0.9034124,0.00018343376,0.00055045035,8.043987e-7,0.001092883,0.0000015466743,0.010182882,0.000032506578,0.00009981326,0.08171363],"study_design_scores_gemma":[0.002028259,0.00034706882,0.98745275,0.0007717781,0.00028735938,2.2534401e-7,0.00009947602,0.00008585549,0.00813718,0.000580315,0.000021321086,0.0001884161],"about_ca_topic_score_codex":0.16391411,"about_ca_topic_score_gemma":0.123882115,"teacher_disagreement_score":0.08404036,"about_ca_system_score_codex":0.00033992887,"about_ca_system_score_gemma":0.0002530277,"threshold_uncertainty_score":0.89210474},"labels":[],"label_agreement":null},{"id":"W2525286384","doi":"10.1158/1055-9965.epi-16-0343","title":"Telomere Length and Breast Cancer Prognosis: A Systematic Review","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":73,"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 du Saint-Sacrement; Université Laval; Centre hospitalier de l'Université Laval; Hôtel-Dieu de Québec","funders":"","keywords":"Breast cancer; Medicine; Oncology; Confounding; Telomere; Internal medicine; Cancer; Family history; Biology; Genetics; Gene","score_opus":0.0863811394119671,"score_gpt":0.428927318047032,"score_spread":0.34254617863506487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525286384","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":[0.0000070624533,0.98683006,0.000054851807,0.0037869862,0.0008392859,0.007913304,0.00031748044,0.00017603334,0.00007495287],"genre_scores_gemma":[0.00001605938,0.98803806,0.00023276708,0.001347476,0.00050774077,0.007971225,0.00018996056,0.00012931415,0.0015673982],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99149275,0.0028136687,0.0029505552,0.0015145154,0.00028446366,0.00094404694],"domain_scores_gemma":[0.9946218,0.0011661624,0.002483835,0.0009781139,0.0002535822,0.0004965149],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034345153,0.001063065,0.00820016,0.0004056773,0.000167963,0.000014856679,0.0003737621,0.00093137537,0.0005575841],"category_scores_gemma":[0.0011902037,0.00066106586,0.0013453851,0.00057533104,0.0004934095,0.00018156756,0.00015025267,0.00057658047,0.000116809744],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030530744,0.0000491226,0.000934468,0.55586046,0.0020517076,0.000013919705,0.000007432613,3.2936553e-9,7.697645e-7,0.00004087716,0.0066450676,0.43436566],"study_design_scores_gemma":[0.00046572433,0.00008751351,0.0006764082,0.81306905,0.014550969,0.0007437447,0.000010228199,0.000002154448,4.1886165e-7,0.00010520437,0.16970643,0.0005821702],"about_ca_topic_score_codex":0.00015159821,"about_ca_topic_score_gemma":0.000059967868,"teacher_disagreement_score":0.43378347,"about_ca_system_score_codex":0.00072124065,"about_ca_system_score_gemma":0.0010316422,"threshold_uncertainty_score":0.9995841},"labels":[],"label_agreement":null},{"id":"W2528850048","doi":"10.1158/1055-9965.epi-16-0106","title":"The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":393,"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; Centre hospitalier universitaire de Québec; Princess Margaret Cancer Centre; McGill University and Génome Québec Innovation Centre","funders":"U.S. National Library of Medicine; National Cancer Institute; Horizon 2020; Canadian Institutes of Health Research; Conseil Régional des Pays de la Loire; Deutsche Krebshilfe; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Fondation du cancer du sein du Québec; Francis Crick Institute; Genome Canada; National Institute of General Medical Sciences; Bundesministerium für Bildung und Forschung; Association Anne de Bretagne Genetique; World Health Organization; European Commission; Breast Cancer Research Foundation; Division of Cancer Prevention, National Cancer Institute; Cancer Research UK; Deutsche Forschungsgemeinschaft; Government of Canada; Canadian Cancer Society Research Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Genetic architecture; Medicine; Biology; Computational biology; Genetics; Gene; Phenotype","score_opus":0.08670945719130164,"score_gpt":0.39563856612030424,"score_spread":0.3089291089290026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528850048","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":[0.00003933995,0.9040541,0.09099324,0.0013654827,0.0014491472,0.0018041123,0.0001897529,0.0000111561,0.000093637726],"genre_scores_gemma":[0.000414206,0.9936043,0.0019301773,0.00025579843,0.0010587302,0.0016205917,0.00032925644,0.000065268774,0.00072165794],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99351835,0.0032038984,0.0016050996,0.0007295459,0.00009272638,0.00085035956],"domain_scores_gemma":[0.99282646,0.0037336214,0.002367794,0.0008679331,0.000105466606,0.0000987259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044248854,0.00048919854,0.0016000558,0.00005793913,0.0005850748,0.0000098494365,0.00074086053,0.0009146017,0.000017644254],"category_scores_gemma":[0.0011708995,0.00025758467,0.0012041064,0.00017482117,0.00093973894,0.0000025318946,0.00017134016,0.00027023625,0.0000030164988],"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":[0.00015287207,0.000018266179,0.0026477792,0.0010433242,0.0035174254,3.0946424e-7,0.000018457264,0.00043080753,0.000019157878,0.0011580548,0.08026479,0.91072875],"study_design_scores_gemma":[0.00036453336,0.00024408182,0.0005435104,0.0022288477,0.0009555782,0.000013704035,0.00004291787,0.00003171158,0.000001908191,0.029436918,0.96581274,0.0003235355],"about_ca_topic_score_codex":0.000096570366,"about_ca_topic_score_gemma":0.001430894,"teacher_disagreement_score":0.9104052,"about_ca_system_score_codex":0.00042417765,"about_ca_system_score_gemma":0.0009049257,"threshold_uncertainty_score":0.99998766},"labels":[],"label_agreement":null},{"id":"W2531454615","doi":"10.1158/1055-9965.epi-16-0602","title":"Effects of Exercise on Insulin, IGF Axis, Adipocytokines, and Inflammatory Markers in Breast Cancer Survivors: A Systematic Review and Meta-analysis","year":2016,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":136,"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":"Medicine; Breast cancer; Adiponectin; Internal medicine; Adipokine; Insulin; Randomized controlled trial; Insulin resistance; Oncology; Confidence interval; Endocrinology; Cancer; Meta-analysis; Gastroenterology","score_opus":0.04750041983188603,"score_gpt":0.3667486126205184,"score_spread":0.31924819278863237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531454615","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":[0.00007304522,0.991787,0.00002767678,0.00074390223,0.00028210285,0.006626281,0.00040287676,0.00003869123,0.000018431925],"genre_scores_gemma":[0.00024676614,0.9914726,0.000026773354,0.00046728144,0.000057030553,0.0071296636,0.00013520509,0.00008015963,0.000384514],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9908702,0.0041250247,0.0028746026,0.0012859419,0.00027801923,0.0005662233],"domain_scores_gemma":[0.99340725,0.002610749,0.0025686077,0.0008979778,0.000205687,0.00030973245],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0045692245,0.00097558496,0.014987881,0.0010604669,0.000053565498,0.000008490377,0.0002525712,0.0008008545,0.0002728856],"category_scores_gemma":[0.000624544,0.00062016974,0.0027949715,0.0011356736,0.00036457734,0.00011859331,0.00013401674,0.00045198022,0.000006031635],"study_design_candidate":"systematic_review","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":[0.0002046096,0.0000613365,0.0013375245,0.8540018,0.10473521,0.000018578374,0.000026569642,1.8096911e-7,6.456986e-7,0.000026637395,0.0004058516,0.039181046],"study_design_scores_gemma":[0.0005443277,0.000078873185,0.002260052,0.3724793,0.6193386,0.000032083986,0.000008645877,0.0000022230724,8.5286575e-7,0.000053274678,0.004761384,0.00044039215],"about_ca_topic_score_codex":0.0028936008,"about_ca_topic_score_gemma":0.0031688712,"teacher_disagreement_score":0.5146034,"about_ca_system_score_codex":0.0005630189,"about_ca_system_score_gemma":0.00046581848,"threshold_uncertainty_score":0.99963564},"labels":[],"label_agreement":null},{"id":"W2534187226","doi":"10.1158/1055-9965.epi-16-0735","title":"Inherited Chromosomally Integrated Human Herpesvirus 6 and Breast Cancer","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cytomegalovirus and herpesvirus 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":true,"ca_institutions":"University of British Columbia; Université Laval; Queen's University; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; Simon Fraser University; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; Cancer Research UK","keywords":"Breast cancer; Cancer; Oncology; Medicine; Population; Confidence interval; Internal medicine; Case-control study; Gynecology; Environmental health","score_opus":0.07116049929309959,"score_gpt":0.4045435231488787,"score_spread":0.3333830238557791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534187226","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":[0.96282977,0.012788205,0.00054262264,0.021859651,0.00034699318,0.00082874374,0.0001935394,0.0001632869,0.00044716412],"genre_scores_gemma":[0.9827454,0.008843384,0.0006119663,0.0013464981,0.00046592252,0.00049559085,0.00007587615,0.00006675762,0.005348607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971353,0.00058693293,0.0006911081,0.0007345656,0.00016976395,0.0006823697],"domain_scores_gemma":[0.99847865,0.00028108398,0.00025793287,0.0003787264,0.00022863802,0.00037496467],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013399792,0.00031173148,0.0007363124,0.00025256132,0.0001990729,0.00001339589,0.00014565632,0.00039473575,0.0037197892],"category_scores_gemma":[0.00021234046,0.00020554096,0.00019804672,0.00033445685,0.0006304095,0.0001915304,0.000107611675,0.0002827549,0.000056998448],"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":[0.0011444573,0.000115377654,0.49855185,0.000105353145,0.0007266037,0.000021337764,0.000036089954,2.7255754e-7,0.12588538,0.0002858962,0.011990561,0.36113682],"study_design_scores_gemma":[0.0038442612,0.00031183648,0.9328465,0.0014406524,0.0002247159,0.000119453056,0.000035192745,0.00008902104,0.0017456493,0.0020543197,0.056937005,0.00035139837],"about_ca_topic_score_codex":0.0039050279,"about_ca_topic_score_gemma":0.0023999696,"teacher_disagreement_score":0.43429464,"about_ca_system_score_codex":0.00051556935,"about_ca_system_score_gemma":0.00033197994,"threshold_uncertainty_score":0.99719095},"labels":[],"label_agreement":null},{"id":"W2535581090","doi":"10.1158/1055-9965.epi-16-0545","title":"Reallocating Time to Sleep, Sedentary Time, or Physical Activity: Associations with Waist Circumference and Body Mass Index in Breast Cancer Survivors","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; BC Cancer Agency","funders":"National Cancer Institute; Cancer Council Western Australia; National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; Medical Research Council Canada; Canada Research Chairs; Alberta Innovates; Killam Trusts; National Breast Cancer Foundation; Michael Smith Health Research BC","keywords":"Waist; Body mass index; Medicine; Circumference; Confounding; Demography; Physical therapy; Internal medicine","score_opus":0.0444559098474635,"score_gpt":0.3695376548628421,"score_spread":0.3250817450153786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535581090","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":[0.96493465,0.000069153924,0.001661701,0.032139216,0.00007462482,0.00069397263,0.0001518117,0.00006123799,0.00021363964],"genre_scores_gemma":[0.9970627,0.00016182622,0.00020285128,0.0006510983,0.00023847043,0.00028751217,0.00003407074,0.000025917101,0.0013355755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977472,0.0006375449,0.00032018716,0.0006121552,0.00016016925,0.000522786],"domain_scores_gemma":[0.9979636,0.0011368343,0.0002985175,0.00023234922,0.00008827403,0.0002804242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008913236,0.00023499224,0.0008085889,0.00014029299,0.00012199222,0.0000064747787,0.000090610054,0.00017385592,0.00027625985],"category_scores_gemma":[0.00023997546,0.00015520045,0.00007932599,0.0003709939,0.00018432838,0.00026720852,0.000055198623,0.00024327761,0.000046661044],"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":[0.0022679768,0.000581149,0.84978086,0.00011341434,0.00039227158,0.000008208336,0.00008368722,0.000012800743,0.04018178,0.00004245984,0.0012762137,0.1052592],"study_design_scores_gemma":[0.0013627621,0.00034135446,0.99299943,0.0008725835,0.00013465536,0.0000116056435,0.000016015,0.0027915933,0.00025533346,0.0008658833,0.00012975042,0.00021904791],"about_ca_topic_score_codex":0.006460037,"about_ca_topic_score_gemma":0.003427724,"teacher_disagreement_score":0.14321858,"about_ca_system_score_codex":0.000782474,"about_ca_system_score_gemma":0.0003604076,"threshold_uncertainty_score":0.9765687},"labels":[],"label_agreement":null},{"id":"W2545241042","doi":"10.1158/1055-9965.epi-16-0693","title":"Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":527,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Cancer Institute; National Institutes of Health; Cancer Research UK","keywords":"MUTYH; MLH1; Genetics; Colorectal cancer; Population; MSH6; MSH2; Penetrance; Medicine; Biology; Cancer; Oncology; DNA mismatch repair; Gene; Mutation; Germline mutation; Phenotype","score_opus":0.046075143979276464,"score_gpt":0.3655365510647584,"score_spread":0.31946140708548193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545241042","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":[0.87768096,0.11508669,0.002038893,0.003391655,0.0005848856,0.0010471196,0.00012002412,0.000027518556,0.000022241815],"genre_scores_gemma":[0.959644,0.032303438,0.006150036,0.00018957267,0.0001706008,0.0008623474,0.000006701679,0.000028066448,0.0006452061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982183,0.00020241957,0.0005308329,0.00058394996,0.000094523806,0.00036999688],"domain_scores_gemma":[0.998368,0.00080936134,0.00033509056,0.00018655922,0.00015131918,0.00014961991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080191036,0.00022219899,0.00056735025,0.000101529666,0.00006914563,0.0000025922632,0.00008992755,0.0002342372,0.00018030521],"category_scores_gemma":[0.00045626782,0.00015854576,0.00012421467,0.00009605203,0.0006564131,0.0000770956,0.000057584264,0.000058456135,7.913088e-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":[0.0011657141,0.000022523262,0.66694665,0.00057600765,0.0002684598,3.9484382e-7,0.000030349105,9.875155e-7,0.21607605,0.000060236205,0.0005911315,0.11426151],"study_design_scores_gemma":[0.0023740125,0.00075441756,0.90128106,0.00093184685,0.00041476535,0.000023056764,0.000015947246,0.00009214243,0.09063804,0.0022768297,0.0009902172,0.00020765219],"about_ca_topic_score_codex":0.00018256257,"about_ca_topic_score_gemma":0.00027816743,"teacher_disagreement_score":0.23433442,"about_ca_system_score_codex":0.00012688257,"about_ca_system_score_gemma":0.00018625539,"threshold_uncertainty_score":0.64653087},"labels":[],"label_agreement":null},{"id":"W2547189539","doi":"10.1158/1055-9965.epi-16-0496","title":"Alcohol Consumption and the Risk of Colorectal Cancer for Mismatch Repair Gene Mutation Carriers","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":59,"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","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Health and Medical Research Council; Fred Hutchinson Cancer Research Center; University of Southern California; National Cancer Institute; National Institutes of Health; California Department of Public Health","keywords":"Colorectal cancer; Medicine; Hazard ratio; Internal medicine; Proportional hazards model; Cancer; Oncology; Lynch syndrome; Confidence interval; Gastroenterology; DNA mismatch repair","score_opus":0.052375154623689045,"score_gpt":0.37160410344683775,"score_spread":0.31922894882314873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547189539","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":[0.96837854,0.017341252,0.006722801,0.004074479,0.0010279883,0.0021920374,0.00017598273,0.00006291795,0.00002399615],"genre_scores_gemma":[0.9809292,0.010263343,0.0061668176,0.00026737057,0.0001517929,0.0018728517,0.000037719405,0.000029660403,0.00028123567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975116,0.000807672,0.0007128685,0.0005017565,0.00012729659,0.00033880165],"domain_scores_gemma":[0.9965537,0.0021302965,0.0007085609,0.00025749695,0.00023395183,0.0001159474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026752837,0.00021429332,0.0006363519,0.000094927425,0.00012863285,0.0000025728987,0.000087201464,0.00027379696,0.00016700663],"category_scores_gemma":[0.0018875883,0.0001255083,0.00035503597,0.00011025058,0.0011002348,0.00006435523,0.00003943869,0.00010898644,0.0000022492218],"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":[0.009131201,0.000035298868,0.88201886,0.00026135225,0.0019977875,0.0000010223317,0.00026831072,0.000037584883,0.041479263,0.00019235261,0.004885493,0.059691444],"study_design_scores_gemma":[0.015177797,0.0007365968,0.92294073,0.00063378544,0.0023085873,0.00004235366,0.000111420144,0.002481957,0.043953482,0.009770609,0.0015480168,0.0002946699],"about_ca_topic_score_codex":0.00064305274,"about_ca_topic_score_gemma":0.0005025173,"teacher_disagreement_score":0.059396774,"about_ca_system_score_codex":0.00032890448,"about_ca_system_score_gemma":0.0002277783,"threshold_uncertainty_score":0.511808},"labels":[],"label_agreement":null},{"id":"W2561230713","doi":"10.1158/1055-9965.epi-16-0145","title":"Association of Weight Change after Colorectal Cancer Diagnosis and Outcomes in the Kaiser Permanente Northern California Population","year":2016,"lang":"en","type":"editorial","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":81,"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 Cancer Institute; National Institutes of Health","keywords":"Medicine; Colorectal cancer; Cancer; Body mass index; Weight loss; Weight change; Internal medicine; Weight gain; Population; Confidence interval; Mortality rate; Oncology; Obesity; Body weight; Environmental health","score_opus":0.027200994310869166,"score_gpt":0.3628729056208732,"score_spread":0.33567191131000407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561230713","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":[0.6899567,0.027147477,0.000013832838,0.0124133425,0.26507416,0.0022692948,0.003067434,0.000036292946,0.000021419779],"genre_scores_gemma":[0.6073048,0.08277926,0.000057233774,0.0008542114,0.28867468,0.015857834,0.0030699372,0.00014230095,0.001259721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99687386,0.00082031795,0.00091765943,0.0005700718,0.0003836602,0.00043442918],"domain_scores_gemma":[0.9965105,0.0018032134,0.0011514805,0.00025266779,0.00019745377,0.00008466829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018634648,0.0003724615,0.0011551885,0.00023286675,0.00006178918,0.0000072831485,0.00013328623,0.00113168,0.0003088649],"category_scores_gemma":[0.0010011847,0.00023345876,0.00034498118,0.00015885718,0.00012232256,0.00012265815,0.00005514626,0.0004636992,0.000006120845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058036007,0.00006490897,0.7575927,0.00019515173,0.0005687638,0.000002719056,0.00016857473,1.8460777e-7,0.000007840952,0.0000010965052,0.22928864,0.011529084],"study_design_scores_gemma":[0.001357432,0.0001239264,0.8136512,0.00096941873,0.00073494774,6.2926307e-7,0.000014548557,0.000009924565,0.0000076105043,0.00017093339,0.18276231,0.00019714158],"about_ca_topic_score_codex":0.015541133,"about_ca_topic_score_gemma":0.058123015,"teacher_disagreement_score":0.08265192,"about_ca_system_score_codex":0.0013164151,"about_ca_system_score_gemma":0.00017511052,"threshold_uncertainty_score":0.9910145},"labels":[],"label_agreement":null},{"id":"W2563115712","doi":"10.1158/1055-9965.epi-16-0604","title":"Transcriptomic Microenvironment of Lung Adenocarcinoma","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"Adenocarcinoma; Lung cancer; Transcriptome; Lung; Gene; Cancer research; Biology; Gene expression profiling; Gene expression; Pathology; Cancer; Medicine; Genetics; Internal medicine","score_opus":0.030492791535427857,"score_gpt":0.3200029381114387,"score_spread":0.2895101465760109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563115712","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":[0.90966177,0.04156502,0.045073915,0.0027453129,0.00042415832,0.0003349549,0.00004661776,0.000011736725,0.00013654448],"genre_scores_gemma":[0.99015725,0.006694441,0.00096526416,0.00019861708,0.00012872493,0.00017017103,0.00005683942,0.000018569119,0.0016101438],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985331,0.00028481093,0.00044349476,0.0004260578,0.000051459665,0.00026103188],"domain_scores_gemma":[0.99921566,0.000036870464,0.0002509839,0.00039373085,0.00003422504,0.00006854775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055349304,0.00014494828,0.00023073594,0.00004926173,0.00004679551,0.0000014524516,0.00018326727,0.00018299813,0.00021238311],"category_scores_gemma":[0.00005587107,0.00010912033,0.00020134186,0.000049876584,0.00025307227,0.000006551074,0.000036302245,0.00003686522,0.000008485493],"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":[0.00017400291,0.000039153216,0.24662596,0.000018987226,0.00023864007,1.9481683e-7,0.000009338334,0.0000063115804,0.72125715,0.00016520722,0.009870139,0.021594938],"study_design_scores_gemma":[0.0017578313,0.00030452508,0.70369077,0.00019479115,0.00017437439,0.000008583344,0.000030223848,0.000043479806,0.2510551,0.0015541759,0.040841438,0.00034470684],"about_ca_topic_score_codex":0.000038436203,"about_ca_topic_score_gemma":0.000052380998,"teacher_disagreement_score":0.47020203,"about_ca_system_score_codex":0.000076725046,"about_ca_system_score_gemma":0.00007121106,"threshold_uncertainty_score":0.4449798},"labels":[],"label_agreement":null},{"id":"W2563368808","doi":"10.1158/1055-9965.epi-16-0341","title":"Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"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 and Materiel Command; National Center for Research Resources; National Center for Advancing Translational Sciences; National Cancer Institute, Cairo University; National Health and Medical Research Council; Canadian Institutes of Health Research; National Cancer Institute; Cancer Research UK; National Institutes of Health; Francis Crick Institute; Wellcome Trust","keywords":"Genotype; Ovarian cancer; Biology; Genetics; Annotation; Computational biology; Population; Long non-coding RNA; Representation (politics); Cancer; Medicine; RNA; Gene; Environmental health","score_opus":0.11532790861729424,"score_gpt":0.4006987299730401,"score_spread":0.2853708213557459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563368808","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":[0.54272455,0.0016266141,0.453511,0.0006872931,0.00033019893,0.0006559318,0.0004189215,0.000013370834,0.000032152115],"genre_scores_gemma":[0.9892305,0.001037141,0.0041191014,0.000062684805,0.00020122205,0.00013469678,0.004546008,0.000033499196,0.0006351039],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99689883,0.0008192767,0.0008241618,0.00085459434,0.0002795314,0.00032359478],"domain_scores_gemma":[0.99748474,0.00019879031,0.0008983744,0.0008534849,0.0004738249,0.000090810296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016582829,0.0002239802,0.00041013185,0.00015313318,0.000105600506,0.000005127113,0.00028499847,0.0003369762,0.00035274838],"category_scores_gemma":[0.00090033124,0.00017786276,0.0001356979,0.00030841678,0.00024372911,0.000057214136,0.0002291994,0.000101526224,0.0000023914567],"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":[0.0017317451,0.00005309912,0.1351989,0.00006879667,0.00044930613,6.212817e-7,0.000018306537,0.000582672,0.81365526,0.00012967756,0.0018563557,0.046255257],"study_design_scores_gemma":[0.0020954092,0.00036230718,0.73947674,0.00039239394,0.00019688894,0.000007748826,0.000029786379,0.0011375532,0.25446346,0.0012831542,0.0002744605,0.00028008161],"about_ca_topic_score_codex":0.0021036144,"about_ca_topic_score_gemma":0.008572904,"teacher_disagreement_score":0.60427785,"about_ca_system_score_codex":0.00035625676,"about_ca_system_score_gemma":0.00025169167,"threshold_uncertainty_score":0.7253033},"labels":[],"label_agreement":null},{"id":"W2564772185","doi":"10.1158/1055-9965.epi-16-0706","title":"Cancer Survival Disparities Between First Nation and Non-Aboriginal Adults in Canada: Follow-up of the 1991 Census Mortality Cohort","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pediatric Oncology Group; Cancer Care Ontario; Statistics Canada; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Demography; Cancer; Cohort; Population; Cancer registry; Relative survival; Cervix; Gerontology; Internal medicine; Environmental health","score_opus":0.11847365353101943,"score_gpt":0.3837150772783345,"score_spread":0.2652414237473151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564772185","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":[0.98471886,0.0037765428,0.00015657474,0.00938305,0.0010704158,0.0005771529,0.0002279317,0.000010223346,0.00007922259],"genre_scores_gemma":[0.9959054,0.0032029813,0.0000650111,0.00022752164,0.00023005261,0.00016459735,0.000055572033,0.000011253557,0.00013762941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979185,0.00032562303,0.00068531634,0.00041558553,0.0002613367,0.0003936223],"domain_scores_gemma":[0.99858946,0.00046313726,0.00040754018,0.0002684068,0.00015240915,0.000119058095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013705541,0.00018794762,0.00062429457,0.000075761,0.00008990249,0.0000023926043,0.00014010418,0.00015108312,0.000033075088],"category_scores_gemma":[0.00052362256,0.00012078244,0.000117246775,0.00026678317,0.00027711823,0.000120039294,0.000050063114,0.00014265129,3.348014e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043675976,0.000009468698,0.9861793,0.00011992826,0.00028915753,0.000002523076,0.000025655478,0.000007982646,0.00008084468,0.00010581224,0.0017569293,0.010985629],"study_design_scores_gemma":[0.0018785641,0.00005413016,0.9935751,0.0020021119,0.00022188103,0.0000023464843,0.00006644084,0.00008082673,0.00019052444,0.00066691474,0.0011285405,0.00013262706],"about_ca_topic_score_codex":0.95674646,"about_ca_topic_score_gemma":0.9755349,"teacher_disagreement_score":0.018788451,"about_ca_system_score_codex":0.0016036503,"about_ca_system_score_gemma":0.0014816481,"threshold_uncertainty_score":0.4925365},"labels":[],"label_agreement":null},{"id":"W2567828940","doi":"10.1158/1055-9965.epi-16-0237","title":"Perineural Invasion and Risk of Lethal Prostate Cancer","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":84,"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":"National Cancer Institute","keywords":"Prostate cancer; Perineural invasion; Medicine; Oncology; Cancer; Internal medicine","score_opus":0.07338682646172039,"score_gpt":0.40418045517294016,"score_spread":0.33079362871121976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567828940","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":[0.9617005,0.029904453,0.00008354979,0.0063314317,0.00083268865,0.0006196977,0.000051926094,0.000025134343,0.00045063352],"genre_scores_gemma":[0.95904046,0.037849735,0.0015228558,0.00011951202,0.00023379277,0.00027451242,0.000015700984,0.000023812163,0.0009195968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981953,0.00032765995,0.00052858825,0.0004974652,0.00010595928,0.0003450479],"domain_scores_gemma":[0.9980516,0.00024352568,0.0009388775,0.0005314593,0.00011379695,0.000120768476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012060353,0.00021683656,0.0007184678,0.00008648958,0.0003200946,0.000007413695,0.00014073357,0.00016274519,0.00011585478],"category_scores_gemma":[0.0009656036,0.00017845757,0.00016732806,0.000049068763,0.00083934603,0.00015668245,0.00019679844,0.00021027932,0.0000031840177],"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":[0.0007731522,0.000031584914,0.9179315,0.00021902002,0.00077615894,0.00000754141,0.00014173634,0.000003358729,0.0013728649,0.000050677932,0.0023850438,0.07630736],"study_design_scores_gemma":[0.0017951456,0.00027174846,0.99104595,0.0005722588,0.0004978571,0.00002415105,0.00006013031,0.00013793695,0.0017027117,0.0016638077,0.0020737676,0.00015452536],"about_ca_topic_score_codex":0.0034588412,"about_ca_topic_score_gemma":0.0011576625,"teacher_disagreement_score":0.07615283,"about_ca_system_score_codex":0.00014006913,"about_ca_system_score_gemma":0.00013491344,"threshold_uncertainty_score":0.72772884},"labels":[],"label_agreement":null},{"id":"W2570515011","doi":"10.1158/1055-9965.epi-16-1011","title":"No Association between Radiation Dose from Pediatric CT Scans and Risk of Subsequent Hodgkin Lymphoma","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":23,"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":"","keywords":"Medicine; Lymphoma; Cohort; Retrospective cohort study; Ionizing radiation; Hodgkin lymphoma; Nuclear medicine; Cancer; Poisson regression; Non-Hodgkin's lymphoma; Radiation therapy; Radiology; Oncology; Internal medicine; Population","score_opus":0.04107526842978808,"score_gpt":0.35830653047150246,"score_spread":0.31723126204171437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570515011","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":[0.98814034,0.0075728586,0.00085041765,0.0017458765,0.00071401056,0.0004484244,0.00013677464,0.000036638656,0.00035466047],"genre_scores_gemma":[0.9791772,0.017963171,0.00088606344,0.00012561835,0.0009926502,0.000054109656,0.00031159542,0.000020311882,0.0004693184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977362,0.0006733782,0.00071153085,0.00042420998,0.00015881119,0.00029584378],"domain_scores_gemma":[0.9965082,0.0007593396,0.0020228706,0.00043860017,0.00012631244,0.00014471378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024211516,0.00017959897,0.0006040081,0.00016824332,0.00025708423,0.000019601363,0.00013565783,0.00018097748,0.00009893243],"category_scores_gemma":[0.003584264,0.0001737792,0.0001696567,0.00009584107,0.00010881361,0.00033901,0.00004831959,0.00013078983,0.000020757494],"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":[0.00010261834,0.000030421776,0.8507118,0.000036407517,0.0007306985,0.0000013483161,0.000035412704,0.000004611547,0.00022915256,0.0000126743025,0.0030142604,0.14509055],"study_design_scores_gemma":[0.0025798574,0.000099679135,0.99058324,0.00009456379,0.0014704649,0.0000015482976,0.000011982149,0.0010611507,0.0005464971,0.0013389289,0.0020684449,0.00014363446],"about_ca_topic_score_codex":0.004692683,"about_ca_topic_score_gemma":0.00012885434,"teacher_disagreement_score":0.1449469,"about_ca_system_score_codex":0.00048448026,"about_ca_system_score_gemma":0.0002053931,"threshold_uncertainty_score":0.7093964},"labels":[],"label_agreement":null},{"id":"W2576652764","doi":"10.1158/1055-9965.epi-16-0891","title":"Serum C-peptide, Total and High Molecular Weight Adiponectin, and Pancreatic Cancer: Do Associations Differ by Smoking?","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","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":"McGill University; Jewish General Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Adiponectin; Pancreatic cancer; Internal medicine; Endocrinology; Obesity; Medicine; Pancreatic ductal adenocarcinoma; Adenocarcinoma; Cancer; Oncology; Physiology; Insulin resistance","score_opus":0.02522234199642148,"score_gpt":0.3483961202443052,"score_spread":0.32317377824788374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576652764","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":[0.9533382,0.034867715,0.00043325743,0.009595094,0.00074869517,0.000558339,0.00024846185,0.000051490395,0.0001587613],"genre_scores_gemma":[0.98743343,0.009895609,0.00024323424,0.0006410097,0.0002139225,0.00024347457,0.000115181814,0.00003627902,0.0011778314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980019,0.00027553673,0.0004947075,0.0006317181,0.00013038867,0.00046580355],"domain_scores_gemma":[0.99833524,0.0002531737,0.000615857,0.00045721335,0.00008616251,0.00025236918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007776211,0.00028531233,0.00076957484,0.000090919,0.00046336718,0.00003940579,0.00010473244,0.00032791166,0.00022541975],"category_scores_gemma":[0.00053302076,0.00025372236,0.00015528586,0.00006727683,0.00035576164,0.0001795822,0.00010529372,0.00026184547,0.000002135575],"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":[0.0001458997,0.00004132548,0.9494124,0.00007384079,0.001070435,0.0000063906446,0.000056210447,0.0000016592682,0.0023293416,0.00018560607,0.012106331,0.034570552],"study_design_scores_gemma":[0.0019746346,0.00015650375,0.98969364,0.00035781114,0.00094068673,0.000018615097,0.000024848589,0.00017657744,0.00061614544,0.0025086198,0.0032729416,0.0002590025],"about_ca_topic_score_codex":0.006559969,"about_ca_topic_score_gemma":0.0005665181,"teacher_disagreement_score":0.040281206,"about_ca_system_score_codex":0.0003298962,"about_ca_system_score_gemma":0.00010886824,"threshold_uncertainty_score":0.9999915},"labels":[],"label_agreement":null},{"id":"W2579373038","doi":"10.1158/1055-9965.epi-16-0705","title":"Comparison of Triage Strategies for HPV-Positive Women: Canadian Cervical Cancer Screening Trial Results","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Jewish General Hospital; Université de Montréal; Centre Hospitalier de l’Université de Montréal; Memorial University of Newfoundland; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Colposcopy; Medicine; Triage; Squamous intraepithelial lesion; Referral; Cytology; Cervical intraepithelial neoplasia; Cervical cancer; Obstetrics; Gynecology; Confidence interval; Cancer; Internal medicine; Oncology; Emergency medicine; Pathology; Family medicine","score_opus":0.24215993529003302,"score_gpt":0.5226314870018435,"score_spread":0.2804715517118105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579373038","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":[0.817699,0.023796938,0.020011222,0.08344551,0.0064574783,0.014901093,0.0029142147,0.00018714865,0.030587353],"genre_scores_gemma":[0.9945094,0.00046279028,0.0012505682,0.00043993437,0.00091130554,0.0013404127,0.00027590973,0.000031383406,0.0007782998],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99655336,0.00049984566,0.0011382197,0.00065770524,0.00022388733,0.00092697813],"domain_scores_gemma":[0.9966768,0.0009420115,0.0007893729,0.00064413407,0.0003538329,0.00059384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034598804,0.0002604506,0.0012521234,0.00024099187,0.0005338828,0.000037509162,0.00036733135,0.00043285027,0.0011526333],"category_scores_gemma":[0.0021301673,0.00023180823,0.00038765528,0.0001270674,0.0005693192,0.00021809939,0.00008048198,0.00036875324,0.00000387718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.31322768,0.0003449649,0.1237596,0.0005922236,0.0022446266,0.000010100506,0.00095111696,0.000057519333,0.00045273022,0.0016319625,0.02724001,0.52948743],"study_design_scores_gemma":[0.080128595,0.0033168187,0.8904338,0.00037321472,0.00045103132,0.0000026891132,0.0012858425,0.0039455635,0.00064283,0.0069412882,0.012081967,0.00039636844],"about_ca_topic_score_codex":0.110446766,"about_ca_topic_score_gemma":0.1670004,"teacher_disagreement_score":0.7666742,"about_ca_system_score_codex":0.0008299922,"about_ca_system_score_gemma":0.0019522745,"threshold_uncertainty_score":0.99976045},"labels":[],"label_agreement":null},{"id":"W2580791746","doi":"10.1158/1055-9965.epi-16-0728","title":"Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Human Genome Research Institute; National Cancer Institute; Cancer Research UK; National Institutes of Health; National Institute for Health and Care Research; Wellcome Trust","keywords":"Oncology; Breast cancer; Internal medicine; Prostate cancer; Prostate; Single-nucleotide polymorphism; Ovarian cancer; Epigenetics; Medicine; Biology; Cancer; Gene; Genotype; Genetics","score_opus":0.11513734722264576,"score_gpt":0.39073623195164625,"score_spread":0.2755988847290005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580791746","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":[0.9826588,0.014855866,0.0011021273,0.00040246622,0.00027950696,0.000475602,0.000022345534,0.0000027943584,0.0002004955],"genre_scores_gemma":[0.99033016,0.008630719,0.00060592405,0.00013143508,0.00008369496,0.00014916043,0.000029453311,0.000014241515,0.000025239651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978022,0.00078164233,0.0005546164,0.000475447,0.00007766359,0.00030842386],"domain_scores_gemma":[0.9985856,0.00021831332,0.00049968646,0.0006044972,0.000040984134,0.000050952487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017842932,0.00017497425,0.0003090441,0.00009049319,0.00009744495,0.000010732394,0.00030328037,0.00025945346,0.000009474707],"category_scores_gemma":[0.0010128644,0.00014677914,0.00008534229,0.000058326837,0.0003395507,0.000006783851,0.00008069118,0.00012614451,0.0000010754595],"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":[0.00020760148,0.000050868395,0.91209906,0.00003023868,0.000057706966,0.0000028455768,0.00009417743,0.0010360855,0.05576309,0.00006534174,0.00005954556,0.030533416],"study_design_scores_gemma":[0.0010962948,0.00027113353,0.9838157,0.000099733385,0.00002611473,0.0000014347199,0.00005972025,0.0010856197,0.009251951,0.0036967436,0.00044612118,0.0001493836],"about_ca_topic_score_codex":0.0020410272,"about_ca_topic_score_gemma":0.0056158323,"teacher_disagreement_score":0.071716666,"about_ca_system_score_codex":0.00004847328,"about_ca_system_score_gemma":0.00011772806,"threshold_uncertainty_score":0.598548},"labels":[],"label_agreement":null},{"id":"W2590305051","doi":"10.1158/1538-7755.disp16-b15","title":"Abstract B15: Assessing the feasibility of an online cognitive health education program to address cognitive changes among breast cancer survivors","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cognition; Sleep hygiene; Medicine; Cognitive decline; Active living; Gerontology; Breast cancer; Psychology; Dementia; Physical therapy; Physical activity; Cancer; Psychiatry; Disease","score_opus":0.17487209247481042,"score_gpt":0.514560849337396,"score_spread":0.3396887568625856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590305051","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":[0.9534583,0.0045758574,0.00020415332,0.03222934,0.0013550645,0.0069049676,0.00094823993,0.00010106133,0.00022298351],"genre_scores_gemma":[0.9920156,0.0016680663,0.00026279976,0.0016752545,0.000580907,0.00288245,0.0006706536,0.000045881396,0.00019840307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960868,0.0011852414,0.0008827173,0.000903875,0.00026048973,0.0006809106],"domain_scores_gemma":[0.9951573,0.0008642946,0.0019407865,0.0005429441,0.0011397669,0.0003548951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003349683,0.0003994489,0.001014653,0.00020000612,0.0007900827,0.00003733783,0.00025699765,0.0002481005,0.00017097997],"category_scores_gemma":[0.0022010482,0.00031167138,0.0002399063,0.0002488666,0.0013111472,0.0004262464,0.00015329946,0.00044365574,0.0000034665127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008719981,0.00086648285,0.51692307,0.00023998132,0.0007055011,0.0000011493488,0.00032222722,0.0000018113994,0.000093565635,0.000002371774,0.00050315977,0.47946867],"study_design_scores_gemma":[0.0018431029,0.00089983165,0.9851652,0.0064625945,0.0006832515,0.000013101508,0.0040645907,0.00009597274,0.00018761672,0.00019485684,0.000120709534,0.00026921465],"about_ca_topic_score_codex":0.024972782,"about_ca_topic_score_gemma":0.058601398,"teacher_disagreement_score":0.47919944,"about_ca_system_score_codex":0.000702331,"about_ca_system_score_gemma":0.0013455366,"threshold_uncertainty_score":0.99993354},"labels":[],"label_agreement":null},{"id":"W2590674004","doi":"10.1158/1055-9965.epi-16-0762-t","title":"Young Adult and Usual Adult Body Mass Index and Multiple Myeloma Risk: A Pooled Analysis in the International Multiple Myeloma Consortium (IMMC)","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":47,"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","funders":"National Cancer Institute; World Health Organization; American Association for Cancer Research","keywords":"Multiple myeloma; Body mass index; Medicine; Internal medicine; Anthropometry; Risk factor; Young adult; Oncology","score_opus":0.028503861057944623,"score_gpt":0.3368796144805547,"score_spread":0.3083757534226101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590674004","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":[0.9874064,0.0022050804,0.0015841647,0.006525691,0.00065234536,0.0008904979,0.00014581597,0.00003964066,0.000550392],"genre_scores_gemma":[0.9926705,0.0035088747,0.0011163092,0.0016181468,0.00025320268,0.0002172361,0.00030873704,0.000025018102,0.0002820237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965856,0.0007990829,0.0009439671,0.00089944666,0.00024346968,0.00052840903],"domain_scores_gemma":[0.996832,0.0010434431,0.0009595532,0.0007435306,0.00022908188,0.00019235995],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021918046,0.00036113546,0.00093032996,0.0003962979,0.0004491454,0.000066308785,0.00040811856,0.00036416374,0.0001500786],"category_scores_gemma":[0.0038821585,0.000286826,0.0003179037,0.00020024396,0.0007013623,0.0003705667,0.00015645972,0.0004989669,0.000004327958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019550556,0.00007200523,0.9680583,0.00005884966,0.0029252528,0.000030130717,0.00028918328,0.000026920192,0.001687234,0.000079200734,0.0010366911,0.023781199],"study_design_scores_gemma":[0.006212058,0.00014145003,0.9318989,0.0001370222,0.0013624441,0.000036536727,0.00058141776,0.058189083,0.0001497971,0.000511086,0.00050989725,0.00027034438],"about_ca_topic_score_codex":0.007385085,"about_ca_topic_score_gemma":0.018426457,"teacher_disagreement_score":0.058162164,"about_ca_system_score_codex":0.00025969013,"about_ca_system_score_gemma":0.00016924512,"threshold_uncertainty_score":0.9999584},"labels":[],"label_agreement":null},{"id":"W2591617250","doi":"10.1158/1538-7755.disp16-ia04","title":"Abstract IA04: Developing a national plan for cancer prevention and control; balancing unmet needs and addressing global disparities","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Overweight; Medicine; Environmental health; Population; Obesity; Demography; Epidemiology; Tobacco control; Public health; Gerontology","score_opus":0.12494813052348161,"score_gpt":0.4154326841949705,"score_spread":0.29048455367148884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591617250","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":[0.67595744,0.019149594,0.030171273,0.26482564,0.0043799714,0.00234295,0.00032555772,0.0002284263,0.0026191603],"genre_scores_gemma":[0.98002815,0.0011542771,0.0016885188,0.014756564,0.0016190998,0.0004936276,0.00015440269,0.00002286393,0.000082499064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977653,0.00012457039,0.00077201513,0.00049257284,0.00011652329,0.0007290138],"domain_scores_gemma":[0.99777627,0.00052037975,0.0012080792,0.00019147541,0.00024118,0.00006260784],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039727995,0.00027964145,0.0006537534,0.00015525379,0.0011279896,0.00018115535,0.00023058911,0.00030168673,0.00003252758],"category_scores_gemma":[0.002765849,0.00026430932,0.00012439961,0.00010141157,0.00036801313,0.0011172699,0.00017312844,0.00013901811,0.000003038604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032884994,0.000026655023,0.80189174,0.001084519,0.00040861827,8.920029e-7,0.000016849277,0.00014591431,0.00006199315,0.07724689,0.07623986,0.04254723],"study_design_scores_gemma":[0.0014936394,0.000019577099,0.80561006,0.0005770942,0.00011898509,0.0000044898716,0.0000812104,0.007296983,0.000001429005,0.095243335,0.08926442,0.00028880345],"about_ca_topic_score_codex":0.012791796,"about_ca_topic_score_gemma":0.0042857016,"teacher_disagreement_score":0.3040707,"about_ca_system_score_codex":0.0002686005,"about_ca_system_score_gemma":0.00020689904,"threshold_uncertainty_score":0.9999809},"labels":[],"label_agreement":null},{"id":"W2593215098","doi":"10.1158/1538-7755.disp16-c92","title":"Abstract C92: [Advocate Abstract:] The Disparity of Human Papillomavirus Vaccination Knowledge, Attitudes and Practices in College-Age Women 18-26 years old","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Population Health Research Institute","funders":"","keywords":"Medicine; Family medicine; Vaccination; Demography; Logistic regression; Human papillomavirus; Population; Gerontology; Environmental health; Immunology; Internal medicine","score_opus":0.17079872829944132,"score_gpt":0.5008685889511596,"score_spread":0.3300698606517183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593215098","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":[0.9816023,0.007857665,0.0000061843944,0.0027604124,0.00024180496,0.0008371996,0.000020381669,0.000026630387,0.0066474066],"genre_scores_gemma":[0.9948318,0.0037632424,0.000068657195,0.00011237664,0.00016598422,0.0002589038,0.000022923221,0.000021711196,0.0007543715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790204,0.000333216,0.000682901,0.00046984208,0.0001664142,0.00044558087],"domain_scores_gemma":[0.9973161,0.0008076073,0.001004641,0.00057330675,0.00014264754,0.00015568738],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0047612386,0.00018182828,0.0005996703,0.00014998866,0.0002914979,0.000027365211,0.00030116492,0.00024435233,0.0013807145],"category_scores_gemma":[0.0015815953,0.0001420398,0.000116498166,0.00012403002,0.00045118967,0.00029361167,0.00016447742,0.0004353917,0.000011490582],"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":[0.0010341391,0.0003780261,0.86569506,0.00082283275,0.00032970303,0.000021813494,0.00031031924,0.0000022245956,0.002791857,0.0005538506,0.0024752328,0.12558497],"study_design_scores_gemma":[0.0019309688,0.00019364168,0.9906121,0.00020197612,0.00006955309,0.0000038180046,0.00015059185,0.00004184814,0.00021126331,0.005038354,0.0014173376,0.00012858614],"about_ca_topic_score_codex":0.003772673,"about_ca_topic_score_gemma":0.009162184,"teacher_disagreement_score":0.12545638,"about_ca_system_score_codex":0.0003439238,"about_ca_system_score_gemma":0.00018952337,"threshold_uncertainty_score":0.99953216},"labels":[],"label_agreement":null},{"id":"W2593855166","doi":"10.1158/1538-7755.disp16-c23","title":"Abstract C23: High Kaiso expression correlates with increased TGFβ signaling and aggressive TNBC in women of African Ancestry (WAA)","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Cells and Metastasis","field":"Medicine","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":"McMaster University","funders":"","keywords":"Triple-negative breast cancer; Cancer research; Estrogen receptor; Breast cancer; Metastasis; Medicine; Epithelial–mesenchymal transition; Progesterone receptor; Oncology; Internal medicine; Cancer; Biology","score_opus":0.05104989903997414,"score_gpt":0.3553148963424368,"score_spread":0.30426499730246265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593855166","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":[0.98788756,0.010194837,0.00018350333,0.00075473153,0.0002471807,0.00046342929,0.000028575741,0.00001980916,0.00022035075],"genre_scores_gemma":[0.99416906,0.0028858685,0.0024152144,0.00012441883,0.000101222206,0.00018549997,0.000035248813,0.000022684622,0.000060765975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811536,0.00023151799,0.00059921393,0.0005071359,0.00012606295,0.00042070402],"domain_scores_gemma":[0.9973861,0.0003592866,0.0015197262,0.00044854984,0.00008650038,0.00019984177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013664952,0.00023098035,0.0008224138,0.00015370594,0.00014663409,0.000010271253,0.00014412697,0.00021798706,0.00019875166],"category_scores_gemma":[0.0005437216,0.00018057362,0.00009175077,0.00009484045,0.00052874046,0.00018571138,0.00007055913,0.00024342636,0.0000013390564],"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":[0.0066573624,0.00019775183,0.8018729,0.00057059655,0.0004951718,0.000112167,0.00036381572,0.00006810004,0.09195261,0.000031519543,0.0006855764,0.09699244],"study_design_scores_gemma":[0.004379617,0.00052495586,0.97134334,0.004376427,0.00020839265,0.000027002941,0.0005235585,0.0000850953,0.016287804,0.0016045762,0.0003899194,0.00024932],"about_ca_topic_score_codex":0.0027823478,"about_ca_topic_score_gemma":0.00030457226,"teacher_disagreement_score":0.16947044,"about_ca_system_score_codex":0.00019953995,"about_ca_system_score_gemma":0.00021424078,"threshold_uncertainty_score":0.73635787},"labels":[],"label_agreement":null},{"id":"W2594348303","doi":"10.1158/1055-9965.epi-17-0034","title":"Patterns of Multivitamin Use after Colorectal Cancer Diagnosis in Association with Long-term Survival","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multivitamin; Medicine; Hazard ratio; Colorectal cancer; Proportional hazards model; Cancer; Population; Confidence interval; Cancer registry; Internal medicine; Vitamin; Environmental health","score_opus":0.14908952990862367,"score_gpt":0.47953712612597066,"score_spread":0.330447596217347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594348303","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":[0.9926781,0.0006233668,0.0005175953,0.004465255,0.00061147957,0.00086817634,0.000100215155,0.000039715356,0.000096065734],"genre_scores_gemma":[0.992178,0.0037469266,0.00034576183,0.000043378797,0.00012955375,0.0029550132,0.000017876344,0.000019638941,0.0005638347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957875,0.0022723326,0.0005115377,0.00046160168,0.00034961698,0.00061738834],"domain_scores_gemma":[0.99638397,0.002030869,0.0009092906,0.00033362632,0.00023432095,0.00010792991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006170885,0.00016771599,0.00047864558,0.00017788993,0.0002716663,0.000045228535,0.00045843457,0.00040520192,0.00037837916],"category_scores_gemma":[0.003683868,0.0001584421,0.00013402388,0.00014955731,0.0004227195,0.0006119931,0.00012577427,0.00025444158,0.0000037558789],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030535343,0.00010321857,0.9789358,0.000039983774,0.00018437573,0.000010978374,0.000390805,0.000003860556,0.000106959706,0.000066229826,0.0004445732,0.019407904],"study_design_scores_gemma":[0.0005919935,0.00007511453,0.99718416,0.0005356622,0.000049412232,1.8348845e-7,0.00010100196,0.000020575038,0.0007137917,0.00031564353,0.00024067999,0.0001717728],"about_ca_topic_score_codex":0.0664041,"about_ca_topic_score_gemma":0.36365238,"teacher_disagreement_score":0.29724827,"about_ca_system_score_codex":0.0012424284,"about_ca_system_score_gemma":0.00029521037,"threshold_uncertainty_score":0.9398128},"labels":[],"label_agreement":null},{"id":"W2594353641","doi":"10.1158/1538-7755.disp16-b47","title":"Abstract B47: Combating cancer with combination therapy in underserved populations","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advanced Breast Cancer Therapies","field":"Medicine","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":"Kingston General Hospital; Hospital for Sick Children","funders":"","keywords":"Combination therapy; Medicine; Cancer; Cancer therapy; Metastasis; Drug; Pharmacology; Internal medicine","score_opus":0.20635351269125105,"score_gpt":0.4524718444106933,"score_spread":0.24611833171944228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594353641","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":[0.9693766,0.006710498,0.0027320583,0.01872919,0.00068982656,0.0011479561,0.000014492668,0.00009615284,0.00050318375],"genre_scores_gemma":[0.9936864,0.0011473084,0.0033241143,0.000627848,0.00014924715,0.00053770025,0.00010275501,0.000042419986,0.0003822159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980752,0.00022316638,0.00059450796,0.0005140422,0.0001451939,0.0004478828],"domain_scores_gemma":[0.99807066,0.00018052974,0.0008903819,0.000592693,0.00015299929,0.00011274465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010150074,0.0002617166,0.000586893,0.00017069766,0.00037232105,0.000019388484,0.00019962923,0.00020848648,0.00033570649],"category_scores_gemma":[0.00021848241,0.00022092683,0.000129724,0.00011861735,0.00036595733,0.00043135375,0.000035308443,0.0002840137,0.0000067944898],"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":[0.0011111585,0.00014284557,0.8384174,0.000057995716,0.00029010256,0.0000062276417,0.00009414299,0.00025340397,0.0018152702,0.0008680737,0.0001280282,0.15681535],"study_design_scores_gemma":[0.005446892,0.00021821224,0.9795047,0.00089208427,0.000067437606,0.000008717387,0.00011775214,0.00061380246,0.00033627078,0.011917163,0.0006504975,0.00022647172],"about_ca_topic_score_codex":0.0038036401,"about_ca_topic_score_gemma":0.006804661,"teacher_disagreement_score":0.15658887,"about_ca_system_score_codex":0.00056590635,"about_ca_system_score_gemma":0.00023772375,"threshold_uncertainty_score":0.9009134},"labels":[],"label_agreement":null},{"id":"W2594595843","doi":"10.1158/1538-7755.disp16-c64","title":"Abstract C64: Use of HPV self-sampling to increase screening for cervical cancer in indigenous and rural communities in Guatemala","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Indigenous; Cervical cancer; Papanicolaou stain; Medicine; Demography; Rural area; Cancer screening; Pap test; Developing country; Cervical screening; Cancer; Environmental health; Cervical cancer screening; Economic growth","score_opus":0.21410970246473998,"score_gpt":0.47239646871553326,"score_spread":0.2582867662507933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594595843","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":[0.98911905,0.00558002,0.00082965713,0.0026582938,0.00013830682,0.0014430487,0.00008845789,0.000021845179,0.00012130683],"genre_scores_gemma":[0.9926129,0.0025820162,0.0035901363,0.00035877558,0.00011052902,0.0005929178,0.00007497924,0.000024811154,0.000052925694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979273,0.00033390848,0.0007628528,0.00027226945,0.00012859995,0.00057507044],"domain_scores_gemma":[0.997561,0.0012951819,0.00029800966,0.0004554103,0.00016748867,0.00022293141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026890493,0.00019457423,0.0007684648,0.00032661125,0.00020319893,0.0000233872,0.00022398726,0.00025209217,0.00045363914],"category_scores_gemma":[0.0010606926,0.00018193852,0.00013092365,0.00012231518,0.0002544374,0.00022625926,0.00019542978,0.00034059308,9.570207e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024357715,0.00009499281,0.7067883,0.0005163417,0.00016425576,0.0000033247472,0.0007876827,0.00013428107,0.00017888988,0.000029389588,0.000085041946,0.2887817],"study_design_scores_gemma":[0.0025172813,0.00021686862,0.9931601,0.00057269196,0.00008057228,0.0000038878616,0.00039184626,0.0014875568,0.000072957715,0.00061536854,0.0007185064,0.00016232308],"about_ca_topic_score_codex":0.07309754,"about_ca_topic_score_gemma":0.046809833,"teacher_disagreement_score":0.2886194,"about_ca_system_score_codex":0.00031331726,"about_ca_system_score_gemma":0.00024362202,"threshold_uncertainty_score":0.9705834},"labels":[],"label_agreement":null},{"id":"W2594875589","doi":"10.1158/1538-7755.disp16-a19","title":"Abstract A19: [Advocate Abstract:] Survivors Teaching Students®: Educating Medical and other Health Professional Students about Ovarian Cancer","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Ovarian cancer; Referral; Family medicine; Test (biology); Cancer; Gynecology; Nursing; Internal medicine","score_opus":0.04765821433304753,"score_gpt":0.4594916863744956,"score_spread":0.4118334720414481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594875589","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":[0.9720501,0.018896485,0.00022534424,0.005630265,0.0022382278,0.00060913764,0.000088451794,0.000023897896,0.00023809062],"genre_scores_gemma":[0.9885762,0.005560719,0.00057035586,0.002712178,0.0011701646,0.00031507708,0.00020518946,0.00004695478,0.0008431736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99676734,0.0006004274,0.0008052306,0.00085435866,0.000358205,0.00061444263],"domain_scores_gemma":[0.9977457,0.000104157014,0.0009394479,0.00060453895,0.000086948006,0.0005192429],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043929745,0.00031923826,0.000451724,0.00007190561,0.0009337758,0.000069677495,0.0007389466,0.00040648665,0.00027208912],"category_scores_gemma":[0.00095860264,0.00030256194,0.00017124235,0.000026414735,0.00040193877,0.000024965067,0.00035504712,0.0003224434,0.000005745741],"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":[0.00025751983,0.0004313394,0.9413573,0.00020296025,0.0004171259,0.000002879309,0.0001047714,0.000004545539,0.0020498293,0.000045564004,0.008374476,0.046751697],"study_design_scores_gemma":[0.0015981558,0.000089060966,0.9862106,0.00070694066,0.000055314616,0.0000063514412,0.0001670911,0.000014601327,0.00022147308,0.0008725216,0.009751931,0.00030596336],"about_ca_topic_score_codex":0.0046312595,"about_ca_topic_score_gemma":0.0038815492,"teacher_disagreement_score":0.046445735,"about_ca_system_score_codex":0.00010149217,"about_ca_system_score_gemma":0.00068520533,"threshold_uncertainty_score":0.99994266},"labels":[],"label_agreement":null},{"id":"W2594877600","doi":"10.1158/1538-7755.disp16-b48","title":"Abstract B48: Cancer Stem Cells: characteristics, roles in metastatic disease and targeting therapy for the medically underserved","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Cells and Metastasis","field":"Medicine","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":"Kingston General Hospital; Hospital for Sick Children","funders":"","keywords":"Cancer stem cell; Cancer; Metastasis; Medicine; Cancer research; Disease; Stem cell; Cancer therapy; Carcinogenesis; Oncology; Bioinformatics; Internal medicine; Biology; Genetics","score_opus":0.12044560839253729,"score_gpt":0.39894168013724074,"score_spread":0.2784960717447035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594877600","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":[0.7671787,0.16379826,0.0039726705,0.05901933,0.0023440255,0.0033015665,0.00028950782,0.000053636824,0.000042322532],"genre_scores_gemma":[0.92667925,0.06924555,0.0008610011,0.0013915133,0.00037335083,0.000997046,0.00006542513,0.000037075253,0.0003498126],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979863,0.00024370597,0.00068710395,0.0005131813,0.0001229691,0.00044673664],"domain_scores_gemma":[0.9977051,0.0008019401,0.000711449,0.00045296564,0.00008949391,0.00023904993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028456172,0.0002425109,0.0006526738,0.000071879906,0.00034157856,0.000029765966,0.00021069308,0.000093245035,0.0001939593],"category_scores_gemma":[0.00045289542,0.00016571255,0.00023687643,0.00004709377,0.0005067818,0.0001285944,0.000057072215,0.00020000852,0.000001829089],"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":[0.0038665056,0.00019859018,0.30188105,0.0007151598,0.0017234524,0.000024154215,0.000185884,0.000023010714,0.0059892344,0.00015657392,0.0074065756,0.6778298],"study_design_scores_gemma":[0.0042873803,0.00013019511,0.97010255,0.00087096135,0.00083328655,0.0000023020193,0.00031719997,0.0016973213,0.0006831821,0.0019820922,0.01881908,0.0002744613],"about_ca_topic_score_codex":0.0012799776,"about_ca_topic_score_gemma":0.0013755317,"teacher_disagreement_score":0.6775553,"about_ca_system_score_codex":0.00015984505,"about_ca_system_score_gemma":0.0003481927,"threshold_uncertainty_score":0.6757562},"labels":[],"label_agreement":null},{"id":"W2604769440","doi":"10.1158/1055-9965.epi-16-0838","title":"Genetic Determinants of 1,3-Butadiene Metabolism and Detoxification in Three Populations of Smokers with Different Risks of Lung Cancer","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"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 Institutes of Health; Mountain Equipment Co-operative; National Cancer Institute; USC Norris Comprehensive Cancer Center","keywords":"Carcinogen; Urine; Tobacco smoke; Urinary system; Single-nucleotide polymorphism; Lung cancer; Metabolism; Biology; Cancer; Internal medicine; Endocrinology; Physiology; Genetics; Medicine; Gene; Genotype","score_opus":0.09428230433269594,"score_gpt":0.4046520128173389,"score_spread":0.31036970848464296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604769440","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":[0.98623365,0.011062382,0.0020337752,0.00008580821,0.00013793139,0.0003535037,0.0000781806,0.0000018200896,0.00001294656],"genre_scores_gemma":[0.99517107,0.0027306874,0.001875863,0.000009915143,0.00004123654,0.00010731553,0.000037324608,0.0000126268815,0.000013943222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998663,0.00016388489,0.0005796263,0.0003487473,0.0000536088,0.00019111663],"domain_scores_gemma":[0.9983009,0.000036492638,0.0010719568,0.00043207474,0.00010869559,0.000049891976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032312013,0.0001542249,0.00047190124,0.000073080664,0.00005730431,0.0000024077347,0.00019927185,0.00017474989,0.0000084862495],"category_scores_gemma":[0.00018828966,0.0001336244,0.00008836337,0.00003697911,0.0004838004,0.000010030178,0.00008474987,0.00005756229,3.4808032e-8],"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":[0.00024475425,0.000041781208,0.82032484,0.00010567207,0.00014608727,1.327195e-7,0.00002849132,0.00008560356,0.16950415,0.000031461772,0.000014845724,0.009472183],"study_design_scores_gemma":[0.0006700802,0.000074002004,0.828342,0.00015954408,0.00013430117,8.2756145e-7,0.000016420101,0.00045491237,0.16884355,0.0011904818,0.000008293654,0.000105546],"about_ca_topic_score_codex":0.0018391318,"about_ca_topic_score_gemma":0.007887384,"teacher_disagreement_score":0.009366636,"about_ca_system_score_codex":0.000024717283,"about_ca_system_score_gemma":0.00005987275,"threshold_uncertainty_score":0.5449045},"labels":[],"label_agreement":null},{"id":"W2604809531","doi":"10.1158/1055-9965.epi-17-0081","title":"Cervical Infection with Cutaneous Beta and Mucosal Alpha Papillomaviruses","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":17,"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","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Cancer Institute; Ludwig Institute for Cancer Research","keywords":"Medicine; Cervical cancer; Cervix; HPV infection; Epidemiology; Papillomaviridae; Human papillomavirus; Cervical intraepithelial neoplasia; Cohort; Sex organ; Persistence (discontinuity); Internal medicine; Cancer; Oncology; Biology; Genetics","score_opus":0.1029853180245412,"score_gpt":0.43641790323067353,"score_spread":0.33343258520613234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604809531","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":[0.95085275,0.010876662,0.002577712,0.023812208,0.0007497548,0.0013355615,0.00002530998,0.0001792329,0.009590823],"genre_scores_gemma":[0.99222004,0.00493474,0.00069213135,0.00074761215,0.00041740158,0.00016112461,0.00004583936,0.000029729694,0.0007513604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981118,0.0003138085,0.00036821683,0.0005655425,0.0001711573,0.00046948294],"domain_scores_gemma":[0.9984743,0.00026502708,0.0002533949,0.00054219965,0.00015694751,0.0003081177],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009205212,0.0002139236,0.00055244914,0.000105022125,0.0004461328,0.000031923,0.00012902111,0.00026118275,0.0012281],"category_scores_gemma":[0.00043746742,0.00016183393,0.0001337548,0.00007384253,0.00070472923,0.00018199833,0.00012847278,0.00031654816,0.00002452063],"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":[0.0018284288,0.00007182042,0.8274527,0.0001952579,0.00038249887,0.000032237935,0.00001694965,0.0000014457092,0.00030121166,0.00041300978,0.0018807942,0.16742359],"study_design_scores_gemma":[0.0019937612,0.00079200487,0.98217285,0.00013208958,0.00029634673,0.00020004302,0.000010737535,0.00026563433,0.0002658182,0.0025797808,0.011108767,0.00018219458],"about_ca_topic_score_codex":0.0024201735,"about_ca_topic_score_gemma":0.002618508,"teacher_disagreement_score":0.16724141,"about_ca_system_score_codex":0.0001712462,"about_ca_system_score_gemma":0.00017053359,"threshold_uncertainty_score":0.99968493},"labels":[],"label_agreement":null},{"id":"W2614902232","doi":"10.1158/1055-9965.epi-17-0249","title":"A Randomized Double-Blind Placebo-Controlled Trial of the Effect of Vitamin D3 Supplementation on Breast Density in Premenopausal Women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Université de Montréal; Université Laval; Centre Hospitalier Universitaire Sainte-Justine; Centre hospitalier de l'Université Laval; Sunnybrook Health Science Centre; Hôpital du Saint-Sacrement","funders":"Association Canadienne des Radiologistes; Fondation du cancer du sein du Québec","keywords":"Medicine; Placebo; Vitamin D and neurology; Vitamin; Randomized controlled trial; Internal medicine","score_opus":0.03348283550200456,"score_gpt":0.3722821835751489,"score_spread":0.3387993480731444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614902232","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":[0.9895966,0.00010996482,0.00009236347,0.0015909014,0.000622011,0.007094835,0.000017197624,0.0000111365725,0.00086499506],"genre_scores_gemma":[0.9980214,0.000049597285,0.000058009053,0.00004286148,0.0000942546,0.0015101454,0.00003372303,0.0000118422695,0.00017814629],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.996356,0.0017970579,0.0010142442,0.0003295176,0.00018478553,0.000318396],"domain_scores_gemma":[0.9966032,0.0013993373,0.001366642,0.00049267116,0.000066488254,0.00007165175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008106599,0.0002105625,0.0015786734,0.00022607486,0.000097789365,0.0000092441605,0.00020192719,0.000135652,0.000051980413],"category_scores_gemma":[0.001150453,0.00013154284,0.0005338743,0.00012828001,0.0005526619,0.00016574856,0.000057488014,0.00015778707,9.622078e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.88343763,0.0002005028,0.102527104,0.00013529882,0.0010427746,0.0000013748564,0.00007024459,0.000008215901,0.0011797665,0.00010146586,0.00011772168,0.011177922],"study_design_scores_gemma":[0.9148697,0.001253677,0.07893842,0.0006017336,0.00054925296,0.000010124558,0.000021201744,0.00014543292,0.0028666344,0.0006482346,0.000005058311,0.0000904939],"about_ca_topic_score_codex":0.0003700559,"about_ca_topic_score_gemma":0.00011393543,"teacher_disagreement_score":0.031432133,"about_ca_system_score_codex":0.00016731884,"about_ca_system_score_gemma":0.00010504465,"threshold_uncertainty_score":0.5364161},"labels":[],"label_agreement":null},{"id":"W2616823122","doi":"10.1158/1055-9965.epi-17-0200","title":"Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study)","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":354,"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 Ministry of Agriculture and Forestry; Agriculture Food and Rural Development; University of Alberta","funders":"National Cancer Institute; Kaiser Foundation Research Institute","keywords":"Medicine; Sarcopenia; Colorectal cancer; Sarcopenic obesity; Internal medicine; Body mass index; Obesity paradox; Proportional hazards model; Obesity; Confidence interval; Cancer; Cohort; Oncology; Overweight","score_opus":0.1385630071730344,"score_gpt":0.44975679195793594,"score_spread":0.31119378478490156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616823122","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":[0.94936836,0.0022217873,0.00043914779,0.04510817,0.0011122026,0.0013556634,0.000028031265,0.00004996871,0.00031664406],"genre_scores_gemma":[0.99621224,0.0014846675,0.000122152,0.00078718696,0.0007391615,0.00042540152,0.000054202286,0.000015381853,0.00015958954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969755,0.0015126533,0.0005417181,0.0003837978,0.0001886015,0.00039774625],"domain_scores_gemma":[0.99734396,0.0012115494,0.00085277023,0.00034558796,0.00012558827,0.000120572084],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005698164,0.00017577135,0.0005211647,0.000054536198,0.0017546907,0.000039118,0.00019143963,0.00018730176,0.000071171446],"category_scores_gemma":[0.0005147562,0.00011592102,0.00012125843,0.00007626354,0.00026245925,0.00014477593,0.00009174562,0.00039721729,0.0000051765905],"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":[0.000247585,0.000084002226,0.99004966,0.000048697595,0.00053737825,0.0000018181648,0.00032863984,0.000001964988,0.00030078672,0.00021146891,0.0029034214,0.005284549],"study_design_scores_gemma":[0.0017797676,0.00017827321,0.9939745,0.00025618306,0.0005413583,0.0000042163724,0.00062840735,0.00034019368,0.00010033774,0.0010999888,0.0009818358,0.00011495923],"about_ca_topic_score_codex":0.0018587739,"about_ca_topic_score_gemma":0.0012742521,"teacher_disagreement_score":0.04684387,"about_ca_system_score_codex":0.0004938164,"about_ca_system_score_gemma":0.00012266346,"threshold_uncertainty_score":0.9995449},"labels":[],"label_agreement":null},{"id":"W2621277517","doi":"10.1158/1538-7755.carisk16-a24","title":"Abstract A24: BRM polymorphisms, part of a novel epigenetic mechanism, are predictive of cancer risk and clinic outcome in multiple cancer types","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cancer; Odds ratio; Lung cancer; Gene silencing; Epigenetics; Cancer research; Medicine; DNA methylation; Oncology; Internal medicine; Genetics; Bioinformatics; Biology; Gene; Gene expression","score_opus":0.0763863870059339,"score_gpt":0.38212071524116364,"score_spread":0.3057343282352297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621277517","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":[0.95778984,0.03856546,0.0015318232,0.00035456385,0.0007290614,0.0004176861,0.00054823636,0.000009097491,0.000054225948],"genre_scores_gemma":[0.975327,0.023166386,0.0007232822,0.0000820247,0.00018077366,0.0002400228,0.000044472046,0.000025439967,0.00021057762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777025,0.0002038265,0.00096277194,0.0006139791,0.00010696243,0.0003422048],"domain_scores_gemma":[0.9972479,0.00013685066,0.0018198137,0.0005587511,0.00014546729,0.00009124663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011623485,0.0002501069,0.0006615195,0.000079425525,0.00012764604,0.000005723985,0.00028557557,0.00042877684,0.000097479664],"category_scores_gemma":[0.00075408386,0.00023648917,0.00021096146,0.00005356898,0.00041405752,0.000014648346,0.00012157671,0.00018088068,8.17059e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005357645,0.00011527756,0.9114003,0.00015774099,0.00046336968,5.7551273e-7,0.00004374692,0.0007110067,0.07210698,0.000010110161,0.00028672942,0.014168362],"study_design_scores_gemma":[0.0022264826,0.00018254724,0.95794946,0.00071070937,0.00022965827,0.0000012873193,0.00007132751,0.0019331491,0.03525201,0.0008013069,0.00037258462,0.00026948837],"about_ca_topic_score_codex":0.009049785,"about_ca_topic_score_gemma":0.01074064,"teacher_disagreement_score":0.04654911,"about_ca_system_score_codex":0.00007600924,"about_ca_system_score_gemma":0.00021446137,"threshold_uncertainty_score":0.99754906},"labels":[],"label_agreement":null},{"id":"W2621490008","doi":"10.1158/1055-9965.epi-17-0246","title":"The Premenopausal Breast Cancer Collaboration: A Pooling Project of Studies Participating in the National Cancer Institute Cohort Consortium","year":2017,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","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":false,"ca_institutions":"Public Health Ontario","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; Medical Research Council; National Cancer Institute; Cancer Research UK; National Institutes of Health; Medical Research Council Canada; World Health Organization","keywords":"Pooling; Breast cancer; Medicine; Cohort; Cancer; Gynecology; Oncology; Family medicine; Cohort study; Internal medicine; Computer science","score_opus":0.47668251543973816,"score_gpt":0.5931877793198405,"score_spread":0.1165052638801023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621490008","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":[0.0010361937,0.9887737,0.000014236343,0.0035730787,0.0023283316,0.0037323986,0.00040384464,0.000023659364,0.00011455413],"genre_scores_gemma":[0.004045954,0.9777125,0.00006241899,0.00023687647,0.001043284,0.016447725,0.00012473586,0.00003759261,0.0002889251],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947777,0.0015102926,0.0020220987,0.0007049209,0.0004146378,0.00057034334],"domain_scores_gemma":[0.99449694,0.0013518123,0.002861509,0.0005068381,0.00071461505,0.00006826193],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061016316,0.00049406406,0.0023856165,0.00021458173,0.0005288291,0.00003265057,0.0004327013,0.00038617343,0.000047570797],"category_scores_gemma":[0.0017783846,0.00027797243,0.00043324407,0.00053645857,0.0010651246,0.00020875323,0.00011079517,0.000563673,0.0000018370904],"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":[0.0004917412,0.0001311349,0.12619697,0.010832176,0.007778695,0.000008965494,0.00061530684,0.0000647146,0.0000046622986,0.00036916888,0.021044437,0.832462],"study_design_scores_gemma":[0.00098624,0.0001282647,0.04188998,0.0353294,0.004657387,0.000048466954,0.0003299791,0.00011474888,0.0000023494322,0.0003080479,0.91579986,0.00040525847],"about_ca_topic_score_codex":0.004661931,"about_ca_topic_score_gemma":0.016209142,"teacher_disagreement_score":0.8947554,"about_ca_system_score_codex":0.0014480149,"about_ca_system_score_gemma":0.004949224,"threshold_uncertainty_score":0.9999672},"labels":[],"label_agreement":null},{"id":"W2621642454","doi":"10.1158/1538-7755.carisk16-pr10","title":"Abstract PR10: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"MUTYH; MSH6; MSH2; Genetics; MLH1; Medicine; Colorectal cancer; Population; PMS2; Germline mutation; Proband; Cancer; Oncology; Mutation; Biology; DNA mismatch repair; Gene; Environmental health","score_opus":0.058541015681181356,"score_gpt":0.35738930512859335,"score_spread":0.298848289447412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621642454","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":[0.96424866,0.032451995,0.00039755422,0.00053944596,0.0011146776,0.0010319328,0.00008287725,0.000046049114,0.00008678515],"genre_scores_gemma":[0.97939825,0.005380243,0.0142776435,0.00007412922,0.00023292634,0.00044688868,0.000052467905,0.000033523484,0.00010394325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974903,0.00026512702,0.0009916961,0.0006918492,0.00017218386,0.00038885904],"domain_scores_gemma":[0.9974467,0.00032961837,0.0014327455,0.0003484911,0.0002675368,0.00017488001],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001057839,0.00033665827,0.00079600845,0.0001471313,0.0005421951,0.000020228708,0.00014481321,0.00035085867,0.00009657574],"category_scores_gemma":[0.00050024403,0.00030078835,0.00011681383,0.00007890692,0.00081655744,0.00017067166,0.00020219882,0.00024323714,0.0000016922846],"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":[0.00080880785,0.00004813269,0.71398336,0.00036083785,0.0007162326,0.0000023784462,0.00018857203,0.000016802514,0.08416265,0.000019776771,0.0003466866,0.19934574],"study_design_scores_gemma":[0.0017493978,0.00032075445,0.9680873,0.0007118266,0.0003945187,0.00002239631,0.00012048419,0.0006540524,0.025660368,0.0006031025,0.0014293507,0.00024643922],"about_ca_topic_score_codex":0.0012928718,"about_ca_topic_score_gemma":0.0020753448,"teacher_disagreement_score":0.25410393,"about_ca_system_score_codex":0.00028021683,"about_ca_system_score_gemma":0.00052188244,"threshold_uncertainty_score":0.99994445},"labels":[],"label_agreement":null},{"id":"W2623150809","doi":"10.1158/1538-7755.carisk16-pr17","title":"Abstract PR17: Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Family history; Logistic regression; Medicine; Colorectal cancer; Receiver operating characteristic; Risk assessment; Framingham Risk Score; Oncology; Intervention (counseling); Epidemiology; Internal medicine; Cancer; Computer science; Disease","score_opus":0.045045723175674644,"score_gpt":0.371899770710768,"score_spread":0.3268540475350934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623150809","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":[0.9779061,0.01321788,0.005844863,0.0011257464,0.0007854635,0.00066086475,0.00033713723,0.000027960137,0.0000939973],"genre_scores_gemma":[0.9892005,0.0069386964,0.0018082735,0.0003000061,0.00050916866,0.0004109788,0.00049772894,0.000025170935,0.0003095258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982271,0.00024350235,0.0004931128,0.00059063284,0.00009658068,0.00034907582],"domain_scores_gemma":[0.9985659,0.00005341036,0.0005946332,0.00034527754,0.00020015231,0.00024060906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071403955,0.00023692269,0.00030567416,0.0000840729,0.00060610654,0.000040802304,0.00020452414,0.00027946627,0.00010177156],"category_scores_gemma":[0.00054283004,0.00024637167,0.0002383337,0.000043545624,0.00035437604,0.000031661075,0.0001667299,0.00012072306,0.0000048221646],"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":[0.0025358838,0.000109421635,0.8299185,0.0001552103,0.00076120364,0.0000016902438,0.00007887996,0.00009491424,0.054224666,0.00004190217,0.01151185,0.10056588],"study_design_scores_gemma":[0.0023752826,0.00040533242,0.9725442,0.00025418802,0.00017988948,0.0000048994016,0.00013079875,0.0002792284,0.004432489,0.000697837,0.018433036,0.00026280776],"about_ca_topic_score_codex":0.0006415707,"about_ca_topic_score_gemma":0.00085274084,"teacher_disagreement_score":0.14262572,"about_ca_system_score_codex":0.000062367886,"about_ca_system_score_gemma":0.00007197855,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W2623925690","doi":"10.1158/1538-7755.carisk16-b13","title":"Abstract B13: Adherence to cancer-specific prevention recommendations reduces risk of cancer in participants in Alberta's Tomorrow Project, Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","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 Alberta","funders":"","keywords":"Medicine; Cancer prevention; Environmental health; Cancer; Population; Cohort; Random digit dialing; Prospective cohort study; Cohort study; Gerontology; Red meat; Internal medicine; Pathology","score_opus":0.12420403646176376,"score_gpt":0.435499438982841,"score_spread":0.31129540252107724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623925690","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":[0.9710837,0.00795866,0.000017680157,0.017453253,0.001242172,0.0014974321,0.00019925035,0.00000919818,0.00053866813],"genre_scores_gemma":[0.9802659,0.015448569,0.0005144203,0.00019278548,0.00018559923,0.0020452102,0.00009863741,0.000021878444,0.00122696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99697715,0.000382387,0.0011648952,0.00066206715,0.0001702835,0.0006432069],"domain_scores_gemma":[0.99754256,0.00067351933,0.0010150336,0.00044090152,0.00015792603,0.00017006056],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012151038,0.0002688378,0.00082119217,0.00018479368,0.00023285642,0.000010412886,0.0002472336,0.00019408774,0.0006009677],"category_scores_gemma":[0.0010980809,0.00025525922,0.00016431525,0.00025798072,0.00017005633,0.0001869958,0.00007881766,0.00029304222,0.000004583154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009083152,0.00027093492,0.8697733,0.00012820019,0.0003708451,0.0000050742296,0.00018301557,0.00009568055,0.00060504867,0.00006157906,0.027646935,0.09995102],"study_design_scores_gemma":[0.001868015,0.00029813283,0.9843585,0.0025693763,0.00016406027,0.0000011616955,0.0003175209,0.00010841002,0.0006621812,0.0011990258,0.008207692,0.00024592035],"about_ca_topic_score_codex":0.9712949,"about_ca_topic_score_gemma":0.99640065,"teacher_disagreement_score":0.114585154,"about_ca_system_score_codex":0.00099585,"about_ca_system_score_gemma":0.001078891,"threshold_uncertainty_score":0.99999},"labels":[],"label_agreement":null},{"id":"W2625459731","doi":"10.1158/1055-9965.epi-17-0301","title":"The Impact of a Population-Based Screening Program on Income- and Immigration-Related Disparities in Colorectal Cancer Screening","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Colonoscopy; Population; Health equity; Demography; Immigration; Colorectal cancer; Fecal occult blood; Cancer screening; Cancer; Gerontology; Internal medicine; Environmental health; Public health; Geography; Pathology","score_opus":0.04433849135679057,"score_gpt":0.4040382840604255,"score_spread":0.35969979270363495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625459731","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":[0.9918955,0.0039042358,0.0006126311,0.0021870497,0.00026292977,0.000991596,0.000017451815,0.00006691739,0.000061662184],"genre_scores_gemma":[0.9975812,0.00045737464,0.0010618927,0.000031895415,0.0000770267,0.0006325093,0.00007355066,0.000021607666,0.00006293577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979951,0.0004104802,0.00067342864,0.0004081687,0.00014164911,0.0003712234],"domain_scores_gemma":[0.9979118,0.00076558697,0.00079588813,0.000306909,0.00011107107,0.000108719316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015764197,0.0002273418,0.00053731253,0.00020270917,0.0006010861,0.000033822915,0.00013094326,0.00024370998,0.000022333448],"category_scores_gemma":[0.0010136928,0.00016461962,0.00026491625,0.0001860502,0.00035928245,0.00016011528,0.000047771267,0.00030910646,4.2128593e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005105079,0.00005161784,0.78522635,0.00003361698,0.00028126873,0.0000012880548,0.000028501174,0.0010520404,0.00019589765,0.000038685295,0.000054682023,0.20793098],"study_design_scores_gemma":[0.0017920483,0.0016552714,0.93823117,0.0010192259,0.00009673897,0.000004779217,0.000034636658,0.056105204,0.00027978388,0.0006218779,0.000015705491,0.00014355211],"about_ca_topic_score_codex":0.055345703,"about_ca_topic_score_gemma":0.013272394,"teacher_disagreement_score":0.20778742,"about_ca_system_score_codex":0.0002997593,"about_ca_system_score_gemma":0.00016288245,"threshold_uncertainty_score":0.95094484},"labels":[],"label_agreement":null},{"id":"W2626556207","doi":"10.1158/1538-7755.carisk16-a23","title":"Abstract A23: Plasma osteoprotegerin and breast cancer risk in BRCA1 and BRCA2 mutation carriers","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"RANKL; Breast cancer; Osteoprotegerin; Medicine; Oncology; Internal medicine; Cancer; Cancer research; Population; Endocrinology; Receptor; Activator (genetics)","score_opus":0.019664524975074166,"score_gpt":0.32790958069382165,"score_spread":0.3082450557187475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626556207","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":[0.9766373,0.021292144,0.00010281081,0.00094692357,0.0003407367,0.00034894675,0.00023275008,0.000010696013,0.000087717526],"genre_scores_gemma":[0.98797524,0.011041089,0.0002701595,0.00011913358,0.00019020685,0.00020231493,0.00009290622,0.000018452814,0.00009049856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984015,0.0002715918,0.00035952893,0.0005952758,0.000054854045,0.00031720166],"domain_scores_gemma":[0.99892735,0.000051416824,0.00045437322,0.00036385283,0.000046456884,0.00015654728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008511119,0.00020806819,0.0003141848,0.00006477914,0.00025219755,0.000029017452,0.00014077021,0.00027366946,0.00003916975],"category_scores_gemma":[0.00041766712,0.00020026707,0.00008324825,0.000032648422,0.00040916787,0.00003179987,0.000113891314,0.00011783668,0.0000015111885],"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":[0.00050751166,0.000032166896,0.84518117,0.000067206514,0.00018225548,0.0000047306153,0.000036986086,0.00002845127,0.012996426,0.000029034976,0.00065717165,0.1402769],"study_design_scores_gemma":[0.0016293414,0.000043241493,0.99373406,0.00009272494,0.00009085273,0.000016982985,0.000069621594,0.00012970058,0.0018177448,0.0011875625,0.0009674099,0.00022077581],"about_ca_topic_score_codex":0.0041089607,"about_ca_topic_score_gemma":0.004151108,"teacher_disagreement_score":0.14855286,"about_ca_system_score_codex":0.000032457297,"about_ca_system_score_gemma":0.000112788366,"threshold_uncertainty_score":0.8166654},"labels":[],"label_agreement":null},{"id":"W2627053527","doi":"10.1158/1538-7755.carisk16-pr05","title":"Abstract PR05: Does a comprehensive family history of colorectal cancer improve risk prediction?","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Family history; Medicine; Colorectal cancer; Population; Demography; Internal medicine; Oncology; Gynecology; Cancer; Gerontology; Environmental health","score_opus":0.06191922768577491,"score_gpt":0.3631402241340396,"score_spread":0.3012209964482647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2627053527","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":[0.97054434,0.014471899,0.0003065966,0.0016169194,0.009757914,0.0017157365,0.00039440856,0.00008650528,0.0011056887],"genre_scores_gemma":[0.9893953,0.0038495997,0.003128916,0.00053779746,0.00046361418,0.0010131428,0.000054259974,0.000053470416,0.0015038974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99696,0.00032686625,0.0010337912,0.0008624599,0.0002511741,0.00056570006],"domain_scores_gemma":[0.99634415,0.00046322853,0.0015720302,0.0008367967,0.00046352047,0.0003202982],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010701861,0.00037197693,0.0010208581,0.0002013157,0.00020721923,0.0000074578766,0.0003721453,0.00044646993,0.0006543138],"category_scores_gemma":[0.0013153699,0.0003012057,0.00041125985,0.00007998391,0.00087458995,0.00014874406,0.00017373121,0.00042100006,0.000019139756],"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":[0.0026300559,0.00014040347,0.7409264,0.00029718902,0.0012708514,0.000005477064,0.00026036697,0.000087261324,0.16484989,0.0000148410645,0.040769327,0.048747938],"study_design_scores_gemma":[0.0018222498,0.000713988,0.96886903,0.0005521414,0.0005415277,0.000004478986,0.00009078209,0.0003496619,0.0055931504,0.0007692102,0.020432148,0.00026162143],"about_ca_topic_score_codex":0.0058202213,"about_ca_topic_score_gemma":0.0014071604,"teacher_disagreement_score":0.22794265,"about_ca_system_score_codex":0.001996666,"about_ca_system_score_gemma":0.0010636331,"threshold_uncertainty_score":0.99994403},"labels":[],"label_agreement":null},{"id":"W2644301481","doi":"10.1158/1055-9965.epi-17-0211","title":"Quantifying the Genetic Correlation between Multiple Cancer Types","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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","funders":"National Human Genome Research Institute; National Institute on Aging; National Cancer Institute; Cancer Research UK; National Institutes of Health; National Heart, Lung, and Blood Institute; National Institute for Health and Care Research","keywords":"Correlation; Cancer; Biology; Evolutionary biology; Computational biology; Genetics; Medicine; Mathematics","score_opus":0.17709681483407907,"score_gpt":0.43175867377389077,"score_spread":0.2546618589398117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2644301481","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":[0.95961964,0.019162206,0.0044104136,0.011823445,0.003244097,0.0011225665,0.00002807197,0.00007833377,0.0005112284],"genre_scores_gemma":[0.9933187,0.0019762109,0.0020809388,0.00045371664,0.00086762203,0.00040594602,0.000043284766,0.000037054742,0.000816574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997791,0.00044146559,0.0005935821,0.00054496323,0.00016663452,0.00046237835],"domain_scores_gemma":[0.997351,0.0007925555,0.0007294177,0.0008524037,0.00014240752,0.00013219564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283138,0.00024521357,0.00053135946,0.00007716851,0.00066067156,0.000024454765,0.00029972038,0.00031781697,0.00041878488],"category_scores_gemma":[0.0017603961,0.00017817713,0.00024173423,0.000088010085,0.00052036054,0.00010687714,0.00010375709,0.00031871325,0.00004792356],"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":[0.0002042175,0.000016817208,0.9181562,0.0000548713,0.00045946884,0.0000022577995,0.000060251317,0.00017004124,0.0017434296,0.000021346174,0.003949945,0.07516115],"study_design_scores_gemma":[0.00095133064,0.00013409702,0.9865461,0.00032391038,0.000537106,0.000008802941,0.000025926714,0.0023682634,0.0013203727,0.0011672144,0.006430184,0.00018666568],"about_ca_topic_score_codex":0.0020816105,"about_ca_topic_score_gemma":0.0021387693,"teacher_disagreement_score":0.074974485,"about_ca_system_score_codex":0.00032201345,"about_ca_system_score_gemma":0.00024029895,"threshold_uncertainty_score":0.72658527},"labels":[],"label_agreement":null},{"id":"W2655088374","doi":"10.1158/1538-7755.carisk16-pr07","title":"Abstract PR07: Comparison of risk model recommendations for women at high-risk of breast cancer based on clinical thresholds using the Prospective Family Study Cohort (ProF-SC)","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Ibis; Breast cancer; Medicine; Risk assessment; Prospective cohort study; Incidence (geometry); Receiver operating characteristic; Cohort; Confidence interval; Cohort study; Demography; Gynecology; Cancer; Internal medicine; Mathematics; Computer science","score_opus":0.12399118189674407,"score_gpt":0.4681555583642036,"score_spread":0.3441643764674595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2655088374","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":[0.9815393,0.00084099977,0.012040558,0.00090478436,0.00089322793,0.0021490878,0.0015731133,0.000010302856,0.00004861114],"genre_scores_gemma":[0.99368757,0.00077713165,0.0034460186,0.000104274586,0.00023113881,0.0014816924,0.00014750924,0.00003763905,0.0000870113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99668986,0.0008149936,0.0012158754,0.0007679758,0.00014563631,0.00036564356],"domain_scores_gemma":[0.995156,0.0005035441,0.0027525148,0.0011077126,0.00040054767,0.00007969611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004555412,0.0002661606,0.0006908915,0.00007171634,0.0006141109,0.000010838715,0.0005035346,0.0003354032,0.00003958635],"category_scores_gemma":[0.0008379115,0.00021539374,0.00032311244,0.00007657762,0.00061557087,0.000017359554,0.00016573843,0.00024071554,6.011062e-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":[0.0017560219,0.00050591654,0.9460168,0.000031088875,0.0015196723,6.13033e-8,0.00015392019,0.033618074,0.0028593456,0.000017693468,0.0042464235,0.0092750145],"study_design_scores_gemma":[0.0022441712,0.0005849342,0.9589035,0.000090014815,0.00050547486,4.0493035e-7,0.00033127953,0.03380821,0.0017168708,0.0014386454,0.0001659204,0.00021060661],"about_ca_topic_score_codex":0.0014723496,"about_ca_topic_score_gemma":0.0022163508,"teacher_disagreement_score":0.012886699,"about_ca_system_score_codex":0.0005024313,"about_ca_system_score_gemma":0.0005547222,"threshold_uncertainty_score":0.8783502},"labels":[],"label_agreement":null},{"id":"W2724116530","doi":"10.1158/1055-9965.epi-16-0794","title":"A Decade of GWAS Results in Lung Cancer","year":2017,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":243,"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","keywords":"Lung cancer; Medicine; Genome-wide association study; Oncology; Biology; Genetics; Single-nucleotide polymorphism; Genotype","score_opus":0.13311917357103256,"score_gpt":0.4926836111568334,"score_spread":0.3595644375858008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724116530","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":[0.000035333178,0.99430966,0.001701332,0.0002748866,0.0010628374,0.0017876729,0.00046593286,0.000014730913,0.00034761478],"genre_scores_gemma":[0.00012101802,0.99400705,0.0005181061,0.00005497229,0.00042148432,0.0015939642,0.0015242845,0.00010285596,0.0016562339],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934413,0.002141862,0.0019121651,0.0014438848,0.00020754104,0.000853291],"domain_scores_gemma":[0.9958303,0.00022003472,0.002133896,0.0014552566,0.00017607553,0.00018443044],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003711478,0.0006220897,0.0023028983,0.00046428136,0.00011081383,0.000012658919,0.0010192627,0.0018911054,0.00007771192],"category_scores_gemma":[0.0020192284,0.0005934017,0.0010762133,0.00029209908,0.00037579986,0.000010850882,0.00046740496,0.00066404726,0.0000072272023],"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":[0.0004611043,0.000079796926,0.00013536043,0.0066517703,0.0019424596,0.000012506825,0.000013787058,0.000072965355,0.000907956,0.000043568136,0.01361561,0.97606313],"study_design_scores_gemma":[0.0013226792,0.00018962915,0.00012889033,0.017614853,0.00080123247,0.000016983753,0.000005219023,0.000094062256,0.0005659111,0.00022436124,0.97844034,0.00059583096],"about_ca_topic_score_codex":0.0010904915,"about_ca_topic_score_gemma":0.0020543004,"teacher_disagreement_score":0.97546726,"about_ca_system_score_codex":0.00047678457,"about_ca_system_score_gemma":0.0018779546,"threshold_uncertainty_score":0.99965173},"labels":[],"label_agreement":null},{"id":"W2735124705","doi":"10.1158/1055-9965.epi-17-0264","title":"Age at Menarche and Late Adolescent Adiposity Associated with Mammographic Density on Processed Digital Mammograms in 24,840 Women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Menarche; Medicine; Body mass index; Breast cancer; Demography; Confounding; MAMMOGRAPHIC DENSITY; Cohort; Gynecology; Mammography; Endocrinology; Internal medicine; Cancer","score_opus":0.046270495088975384,"score_gpt":0.3212448913547098,"score_spread":0.2749743962657344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735124705","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":[0.99538326,0.0008332731,0.000069740076,0.0020502429,0.0001323712,0.00068230584,0.000023157136,0.000076052245,0.0007495928],"genre_scores_gemma":[0.9983517,0.00024825466,0.00008520945,0.0004526222,0.000037813687,0.00012804724,0.00014031396,0.000025290488,0.0005307667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978901,0.00022050453,0.00041876655,0.0006485792,0.00016130412,0.00066075404],"domain_scores_gemma":[0.9985645,0.000183703,0.0004742191,0.00041941358,0.000070488815,0.00028770615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012588184,0.00029652976,0.0006657603,0.00025882552,0.00028087347,0.000075128875,0.0001639372,0.0002065382,0.0000108747545],"category_scores_gemma":[0.0005121053,0.00023882912,0.00015885495,0.00023262507,0.00078214385,0.00044139227,0.00010953163,0.0003093744,0.0000029941784],"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":[0.0024985052,0.0003485625,0.9435743,0.0001432261,0.000635279,0.00009775026,0.000099054036,0.000002110724,0.0003174711,0.000016880314,0.00017032104,0.05209651],"study_design_scores_gemma":[0.0027913381,0.0005481465,0.9919487,0.0016611406,0.00014379932,0.000040549894,0.00003709452,0.00010256783,0.00015616916,0.0021547745,0.00016681223,0.00024889747],"about_ca_topic_score_codex":0.00011449904,"about_ca_topic_score_gemma":0.0006034883,"teacher_disagreement_score":0.05184761,"about_ca_system_score_codex":0.00039441723,"about_ca_system_score_gemma":0.000071687646,"threshold_uncertainty_score":0.9739169},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2739852572","doi":"10.1158/1055-9965.epi-17-0075","title":"Lack of Association for Reported Endocrine Pancreatic Cancer Risk Loci in the PANDoRA Consortium","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pancreas Centre (Canada)","funders":"Medical Research Council; National Institute for Health and Care Research; Cancer Research UK; Pancreatic Cancer UK","keywords":"Single-nucleotide polymorphism; Context (archaeology); Disease; Etiology; Genetic association; Bioinformatics; Pancreatic cancer; Medicine; Cancer; Biology; Oncology; Internal medicine; Genotype; Genetics; Gene","score_opus":0.14757691829023556,"score_gpt":0.47863646761148476,"score_spread":0.3310595493212492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739852572","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":[0.9675913,0.007132531,0.0003340947,0.020929504,0.0005213621,0.0028139886,0.00011345148,0.000036407495,0.0005273803],"genre_scores_gemma":[0.98636526,0.008505272,0.00076075643,0.0003713105,0.00020504901,0.0015790405,0.00009013796,0.000024273219,0.0020988907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966043,0.0010983539,0.0010010996,0.00047562062,0.00023421565,0.0005863809],"domain_scores_gemma":[0.9945942,0.002059763,0.0022216255,0.0007544285,0.00028088022,0.0000890942],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003733612,0.00019353276,0.0008090176,0.00013192097,0.00021547778,0.000012188936,0.00029214428,0.000050133975,0.00009454288],"category_scores_gemma":[0.017093843,0.00014098569,0.00027489723,0.0001312866,0.00031210852,0.00016883119,0.000061816245,0.0003075925,0.0000031133275],"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":[0.001160239,0.000110884044,0.9791333,0.00023031954,0.0005606772,0.000050519848,0.0000314751,0.000016510023,0.0014276593,0.00011849407,0.009031668,0.008128261],"study_design_scores_gemma":[0.004033254,0.0003689194,0.9758364,0.00032931962,0.00059771456,0.000052961448,0.00009836141,0.0004363278,0.0022132413,0.008141142,0.0077591594,0.00013320366],"about_ca_topic_score_codex":0.003618307,"about_ca_topic_score_gemma":0.0028265421,"teacher_disagreement_score":0.020558193,"about_ca_system_score_codex":0.00036009026,"about_ca_system_score_gemma":0.00025489455,"threshold_uncertainty_score":0.9911856},"labels":[],"label_agreement":null},{"id":"W2740244712","doi":"10.1158/1538-7755.carisk16-b12","title":"Abstract B12: The effect of physical activity and body size on mammographic density in high-risk, BRCA mutation-negative women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital","funders":"","keywords":"Medicine; Family history; Breast cancer; Body mass index; Population; BRCA mutation; Cancer; Demography; Percentile; First-degree relatives; Gynecology; Internal medicine; Oncology; Environmental health","score_opus":0.01482295549395138,"score_gpt":0.3343544930914198,"score_spread":0.3195315375974684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740244712","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":[0.99722844,0.00017685964,0.000040035746,0.001547106,0.00014552448,0.0005823419,0.000019832902,0.000018039678,0.00024179566],"genre_scores_gemma":[0.9995443,0.00011074045,0.000047420494,0.000060064725,0.00007334265,0.00012253104,0.00000623031,0.00001066887,0.000024706736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983727,0.00062693557,0.00024388962,0.00036327526,0.00010253283,0.00029067273],"domain_scores_gemma":[0.99561006,0.003314478,0.00057972554,0.00036914088,0.000037158134,0.00008941029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002024491,0.00018818716,0.0005857504,0.0001233081,0.00019340638,0.0000135101145,0.0001166782,0.000105635874,0.000011009078],"category_scores_gemma":[0.0022019923,0.00012562126,0.00021189066,0.00013081453,0.0007706836,0.00022116948,0.00004247449,0.0002981209,0.0000016060935],"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":[0.002131507,0.0001227842,0.79646724,0.000106291904,0.00043480392,0.0000095262985,0.00011033715,0.0000069731436,0.0010844442,0.000064599844,0.000056051205,0.19940543],"study_design_scores_gemma":[0.001982544,0.00082273135,0.9860505,0.00035296587,0.00015178532,0.000009523736,0.000033520595,0.00024721594,0.002660104,0.007583162,0.000005516487,0.000100416866],"about_ca_topic_score_codex":0.0018653076,"about_ca_topic_score_gemma":0.0002171148,"teacher_disagreement_score":0.19930501,"about_ca_system_score_codex":0.00008624007,"about_ca_system_score_gemma":0.000036167523,"threshold_uncertainty_score":0.5122686},"labels":[],"label_agreement":null},{"id":"W2744757432","doi":"10.1158/1538-7755.carisk16-b02","title":"Abstract B02: Recreational physical activity, sedentary time and the incidence of colorectal polyps in a screening population for colon cancer","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","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 Calgary; Alberta Health Services","funders":"","keywords":"Medicine; Colorectal cancer; Odds ratio; Colonoscopy; Population; Internal medicine; Incidence (geometry); Cancer; Logistic regression; Sitting; Demography; Environmental health; Pathology","score_opus":0.064054871699833,"score_gpt":0.415113332316475,"score_spread":0.35105846061664203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744757432","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":[0.98467195,0.0021145837,0.00013883045,0.011744645,0.00012864772,0.0010557225,0.00007466414,0.00000814809,0.00006278386],"genre_scores_gemma":[0.9973043,0.0007502124,0.0009390699,0.00013010437,0.00018898974,0.0005050419,0.00009911991,0.0000082067445,0.00007496076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990566,0.0001468492,0.00027064205,0.000253286,0.00009463256,0.00017799699],"domain_scores_gemma":[0.9983083,0.0009783265,0.0004685068,0.00012680294,0.00007483758,0.000043212214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010915034,0.00011218551,0.00046235396,0.00004871959,0.00025056337,0.000005858217,0.00007621381,0.00009776542,0.000030361809],"category_scores_gemma":[0.0006675682,0.000084598745,0.00014468066,0.00004155936,0.00039279624,0.00013750649,0.00006464906,0.00010248378,5.353302e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010572128,0.00015739525,0.9480647,0.00012976273,0.00035806998,0.0000013013939,0.000048624097,0.000039752555,0.0042739757,0.0004409074,0.0015366898,0.034376718],"study_design_scores_gemma":[0.0036646822,0.0001309194,0.9841547,0.00054986955,0.00014489188,0.0000034878628,0.000019076744,0.005222893,0.00024120812,0.0057306234,0.00006270667,0.00007493022],"about_ca_topic_score_codex":0.0084172925,"about_ca_topic_score_gemma":0.0019144089,"teacher_disagreement_score":0.036090035,"about_ca_system_score_codex":0.000126659,"about_ca_system_score_gemma":0.000054738488,"threshold_uncertainty_score":0.99818575},"labels":[],"label_agreement":null},{"id":"W2746443775","doi":"10.1158/1055-9965.epi-16-0776","title":"Vasectomy and Risk of Prostate Cancer in a Screening Trial","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Male Reproductive Health Studies","field":"Health Professions","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":"Dalhousie University","funders":"National Cancer Institute; National Center for Advancing Translational Sciences; Weill Cornell Medical College; American Association for Cancer Research","keywords":"Vasectomy; Medicine; Prostate cancer; Prostate; Gynecology; Prostate cancer screening; Cancer; Oncology; Internal medicine; Population; Prostate-specific antigen; Family planning","score_opus":0.20528439220524983,"score_gpt":0.5426041834769254,"score_spread":0.33731979127167555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746443775","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":[0.9644997,0.023775421,0.00031456555,0.00596371,0.0017799626,0.0031517686,0.000086904365,0.00003103535,0.00039689263],"genre_scores_gemma":[0.9412727,0.050363783,0.0021636707,0.00018979327,0.000733529,0.0038336304,0.0000127813,0.000033826018,0.001396318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939316,0.0035165185,0.0011855687,0.000649418,0.00009231802,0.0006245607],"domain_scores_gemma":[0.9953376,0.001492252,0.002328874,0.0005690132,0.00016893365,0.000103331404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008773599,0.0001960042,0.00084336055,0.00015916134,0.0010047744,0.000002599902,0.00017796832,0.00026752643,0.00017458737],"category_scores_gemma":[0.0055678617,0.00016963578,0.000100782905,0.0000946371,0.0005005492,0.00018079551,0.00024488854,0.0005254428,0.0000037769516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008908264,0.00003235844,0.9279464,0.0004684703,0.0003072428,9.245231e-7,0.0006320797,0.000009481224,0.000036783567,0.00010676174,0.0014337902,0.06011743],"study_design_scores_gemma":[0.015984483,0.00014583141,0.97541314,0.0011908206,0.00012047854,2.9075278e-7,0.00034283387,0.00018978897,0.0000137352345,0.0036469805,0.0028129753,0.00013862005],"about_ca_topic_score_codex":0.021668427,"about_ca_topic_score_gemma":0.015382534,"teacher_disagreement_score":0.059978813,"about_ca_system_score_codex":0.00020040333,"about_ca_system_score_gemma":0.00034061633,"threshold_uncertainty_score":0.98484635},"labels":[],"label_agreement":null},{"id":"W2751368634","doi":"10.1158/1055-9965.epi-17-0367","title":"History of Comorbidities and Survival of Ovarian Cancer Patients, Results from the Ovarian Cancer Association Consortium","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","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":"Royal Alexandra Hospital; Foothills Medical Centre","funders":"Medical Research and Materiel Command; National Center for Advancing Translational Sciences; U.S. National Library of Medicine; National Cancer Institute; National Institutes of Health; American Cancer Society","keywords":"Ovarian cancer; Medicine; Oncology; Internal medicine; Association (psychology); Cancer; Gynecology; Psychology","score_opus":0.07283089766475383,"score_gpt":0.34907549599356386,"score_spread":0.27624459832881004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751368634","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":[0.89052856,0.05227129,0.00007769129,0.043172225,0.007894453,0.0015089806,0.0027943254,0.00003946097,0.0017130271],"genre_scores_gemma":[0.98092186,0.015678981,0.00028456937,0.00046731683,0.00039188008,0.00032969343,0.000292547,0.000024482972,0.0016086452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973561,0.00063361315,0.0009652159,0.00050843554,0.00022260989,0.00031402317],"domain_scores_gemma":[0.99516255,0.0012781036,0.002473852,0.0006461693,0.0003325596,0.000106786814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016959275,0.00023611031,0.0008742331,0.00006090076,0.00016924455,0.000008098839,0.00019541036,0.0002799772,0.00035656206],"category_scores_gemma":[0.0014042888,0.00017937404,0.00021774505,0.000049868366,0.000534108,0.00014077898,0.00009018577,0.00017872821,0.0000014609815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011342712,0.00018859196,0.9334851,0.000073622476,0.0020445783,0.0000013474113,0.00041387806,0.000004207139,0.00017591061,0.00036164452,0.045923855,0.016193008],"study_design_scores_gemma":[0.0057553235,0.0001795932,0.97546214,0.0007473413,0.001149188,3.3190523e-7,0.00007418276,0.00007064525,0.0003127575,0.00083046884,0.0152719775,0.00014604065],"about_ca_topic_score_codex":0.060083915,"about_ca_topic_score_gemma":0.0092326095,"teacher_disagreement_score":0.090393335,"about_ca_system_score_codex":0.0015867418,"about_ca_system_score_gemma":0.0006841667,"threshold_uncertainty_score":0.94617504},"labels":[],"label_agreement":null},{"id":"W2760672994","doi":"10.1158/1055-9965.epi-17-0323","title":"Cervical Cancer Screening among Women from Muslim-Majority Countries in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Institute for Clinical Evaluative Sciences","keywords":"Medicine; Demography; Relative risk; Immigration; Foreign born; Confidence interval; Population; Cervical cancer; Gynecology; Cancer; Geography; Environmental health; Internal medicine","score_opus":0.10829354939332761,"score_gpt":0.3824748610694932,"score_spread":0.27418131167616555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760672994","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":[0.9857667,0.004571247,0.0003420278,0.006860383,0.0013106486,0.00049638055,0.000063148196,0.000039659666,0.00054980296],"genre_scores_gemma":[0.9943902,0.0006138773,0.0009001904,0.0024348132,0.0003607609,0.00042174789,0.00011163802,0.000024115903,0.00074266543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681526,0.00034131788,0.00082640257,0.0007753269,0.0003092108,0.00093249755],"domain_scores_gemma":[0.99777913,0.00030124062,0.0006785379,0.00071779644,0.00014753646,0.00037573412],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017487151,0.00032835462,0.0009693747,0.00009531597,0.0004253606,0.0000341292,0.000413557,0.00036308667,0.0024916476],"category_scores_gemma":[0.00065993227,0.00031768958,0.00016194636,0.00009273316,0.00042432483,0.00040191485,0.00017320218,0.00058939477,0.000004981981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008440524,0.000021734473,0.9797693,0.00003288015,0.00044175348,0.00007601246,0.00036736997,0.000053629097,0.00004474431,0.000026600435,0.0081899585,0.010131957],"study_design_scores_gemma":[0.0017911738,0.00008273648,0.9859872,0.0010770413,0.0001697666,0.00000443732,0.00048763418,0.0004578216,0.0000623483,0.0015459479,0.008036301,0.00029759482],"about_ca_topic_score_codex":0.9985141,"about_ca_topic_score_gemma":0.99940896,"teacher_disagreement_score":0.009834362,"about_ca_system_score_codex":0.0040217503,"about_ca_system_score_gemma":0.0026051986,"threshold_uncertainty_score":0.9999275},"labels":[],"label_agreement":null},{"id":"W2761363775","doi":"10.1158/1055-9965.epi-17-0454","title":"Mobile Screening Units for the Early Detection of Cancer: A Systematic Review","year":2017,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":79,"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":"","keywords":"Medicine; Interquartile range; Cochrane Library; Family medicine; MEDLINE; PsycINFO; Cancer; Breast cancer; Cancer screening; Breast cancer screening; Cervical cancer; Systematic review; Meta-analysis; Environmental health; Internal medicine; Oncology; Mammography","score_opus":0.3977887723770884,"score_gpt":0.5216869442873574,"score_spread":0.12389817191026903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761363775","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":[0.0000039640054,0.9795535,0.0071568363,0.00019735025,0.00088257797,0.011994922,0.00013094116,0.000047593145,0.000032290412],"genre_scores_gemma":[0.0000778758,0.98072517,0.00041079306,0.00029935013,0.00035821073,0.017113,0.00013995338,0.00006253187,0.0008130918],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99480045,0.001293522,0.0023986148,0.0007049367,0.00025063654,0.0005518277],"domain_scores_gemma":[0.9915263,0.0018033572,0.0047124303,0.0012269072,0.000582446,0.00014853028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006102171,0.00055321044,0.0055279103,0.00018650449,0.00035849106,0.000014112565,0.0006235097,0.00059576624,0.000041655825],"category_scores_gemma":[0.004021285,0.00034942653,0.0016612014,0.00043929816,0.0003085932,0.00014071741,0.00010559388,0.0004664865,0.000006585406],"study_design_candidate":"systematic_review","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":[0.00006705001,0.000007931782,0.00011649468,0.46975064,0.0021874106,0.0000013087691,0.0000101768,0.0000012053239,0.0000011453213,0.000010018417,0.0010129716,0.52683365],"study_design_scores_gemma":[0.00032796466,0.00034296728,0.00009632708,0.6888606,0.025529863,0.000039321785,0.000020387917,0.00005814348,0.00000297569,0.000060429917,0.28442696,0.00023406495],"about_ca_topic_score_codex":0.0016425796,"about_ca_topic_score_gemma":0.00040247652,"teacher_disagreement_score":0.5265996,"about_ca_system_score_codex":0.00045148347,"about_ca_system_score_gemma":0.00082900224,"threshold_uncertainty_score":0.99989575},"labels":[],"label_agreement":null},{"id":"W2761635426","doi":"10.1158/1055-9965.epi-17-0613","title":"Explaining the Obesity Paradox—Response","year":2017,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Sarcopenia; Medicine; Confidence interval; Colorectal cancer; Skeletal muscle; Body mass index; Obesity; Population; Cancer; Internal medicine; Surgery","score_opus":0.17414956819155045,"score_gpt":0.4554853902495212,"score_spread":0.2813358220579708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761635426","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00478598,0.016646048,0.00076261617,0.97245723,0.0032347166,0.0012558625,0.000038542526,0.0001363976,0.0006826324],"genre_scores_gemma":[0.008780002,0.004093076,0.0020802766,0.9637129,0.007899849,0.00095764495,0.0007855782,0.00009513516,0.011595562],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99376017,0.0033828835,0.00097537204,0.00080469874,0.00022395323,0.0008529406],"domain_scores_gemma":[0.9947208,0.0024986586,0.0012531723,0.0012245585,0.0001386852,0.0001641131],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0072678155,0.00042412768,0.001169099,0.00022348313,0.00080980104,0.00002259965,0.00042940324,0.0014305341,0.00082902145],"category_scores_gemma":[0.0020385305,0.00031311187,0.00055833283,0.00009264538,0.0005916887,0.000097333614,0.00010809248,0.0023394506,0.00013265315],"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":[0.0011644942,0.000030334457,0.033571485,0.0004750103,0.00042741824,0.00018420664,0.000057077865,3.7724857e-7,0.00003518709,0.000034264707,0.9589977,0.0050224275],"study_design_scores_gemma":[0.0012157673,0.00016448785,0.11257822,0.0022372482,0.00044210278,0.00018210695,0.00004641882,0.000082168684,0.000018831714,0.004039894,0.8787135,0.0002792721],"about_ca_topic_score_codex":0.00020880636,"about_ca_topic_score_gemma":0.000028051014,"teacher_disagreement_score":0.08028424,"about_ca_system_score_codex":0.00052643416,"about_ca_system_score_gemma":0.00058818696,"threshold_uncertainty_score":0.9999622},"labels":[],"label_agreement":null},{"id":"W2765677417","doi":"10.1158/1055-9965.epi-17-0428","title":"Cannabis Use and Incidence of Testicular Cancer: A 42-Year Follow-up of Swedish Men between 1970 and 2011","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":69,"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 Northern British Columbia","funders":"National Institutes of Health","keywords":"Testicular cancer; Medicine; Cannabis; Cancer; Incidence (geometry); Confidence interval; Cancer registry; Population; Proportional hazards model; Demography; Gynecology; Internal medicine; Environmental health; Psychiatry","score_opus":0.07512176525667895,"score_gpt":0.39388292518250817,"score_spread":0.3187611599258292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765677417","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":[0.9733373,0.0114757605,0.000096489755,0.013853425,0.00022606092,0.00074267667,0.00012698873,0.000015445637,0.00012585253],"genre_scores_gemma":[0.98745984,0.006611763,0.00062477146,0.000100801786,0.00015310464,0.00020057778,0.000036116387,0.000025749494,0.0047872774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978574,0.00032467584,0.0006752709,0.00052110135,0.00020705689,0.0004145036],"domain_scores_gemma":[0.9978067,0.0001421004,0.0007345394,0.0006119493,0.00037158435,0.00033311613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001984105,0.00021212547,0.000908756,0.0001601404,0.00018050816,0.000015012712,0.00020330759,0.00023501842,0.00019396412],"category_scores_gemma":[0.003087572,0.00018404235,0.00016738633,0.00008314169,0.0011851393,0.0002551274,0.00023943072,0.00021231646,0.000001380519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050870277,0.000029243023,0.9134642,0.00045237562,0.00047797436,0.000005700181,0.00009273581,5.6657154e-7,0.004760469,0.00008666844,0.060178913,0.019942451],"study_design_scores_gemma":[0.0023928112,0.00040009886,0.9891209,0.00069337076,0.00048774172,0.00001216306,0.000074472075,0.000127815,0.0021274257,0.00092787744,0.003474894,0.00016045678],"about_ca_topic_score_codex":0.021557888,"about_ca_topic_score_gemma":0.0014396362,"teacher_disagreement_score":0.075656675,"about_ca_system_score_codex":0.00013194628,"about_ca_system_score_gemma":0.00048620903,"threshold_uncertainty_score":0.98495764},"labels":[],"label_agreement":null},{"id":"W2768376481","doi":"10.1158/1055-9965.epi-17-0655","title":"Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":42,"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 Ontario; Women's College Hospital","funders":"National Health and Medical Research Council; National Cancer Institute; National Institutes of Health; U.S. Department of Defense; Lon V. Smith Foundation; Kræftens Bekæmpelse; Ovarian Cancer Research Fund; California Breast Cancer Research Program","keywords":"Ovarian cancer; Medicine; Polycystic ovary; Ovary; Oncology; Cancer; Gynecology; Internal medicine; Insulin resistance; Obesity","score_opus":0.05617427452997019,"score_gpt":0.3603510228837166,"score_spread":0.3041767483537464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768376481","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":[0.8018347,0.14798893,0.0006476691,0.04418304,0.0029247857,0.0015315723,0.00064028415,0.000059200218,0.00018980603],"genre_scores_gemma":[0.91099006,0.08475948,0.0011244853,0.00070284604,0.0004308788,0.0010071659,0.00006230613,0.00004006133,0.00088270765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99636096,0.00097616285,0.00097540254,0.0008599175,0.0002666164,0.0005609172],"domain_scores_gemma":[0.9939661,0.0022223587,0.0023143815,0.0010483952,0.0002216393,0.00022712885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024692374,0.00037832255,0.001084267,0.00009861563,0.0006133364,0.00003418477,0.0003275649,0.00041594193,0.0008330823],"category_scores_gemma":[0.002217832,0.00028384363,0.00030367254,0.00014087764,0.00048195192,0.00029300686,0.00013548334,0.00036879614,0.00001114709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009457936,0.0001155754,0.95108247,0.00010348115,0.004426432,0.000015406842,0.00020030692,0.000019222465,0.00030432083,0.00009916473,0.008256067,0.034431778],"study_design_scores_gemma":[0.0025455232,0.00024189918,0.98520947,0.0024795814,0.004163856,0.00001329003,0.00004503555,0.00031984615,0.00024096863,0.002014436,0.002474244,0.00025187145],"about_ca_topic_score_codex":0.1052151,"about_ca_topic_score_gemma":0.00950861,"teacher_disagreement_score":0.10915534,"about_ca_system_score_codex":0.0014591053,"about_ca_system_score_gemma":0.0007029643,"threshold_uncertainty_score":0.9999614},"labels":[],"label_agreement":null},{"id":"W2769989401","doi":"10.1158/1055-9965.epi-16-0969","title":"A Review of Physical Activity and Circulating miRNA Expression: Implications in Cancer Risk and Progression","year":2017,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Cancer Foundation; University of Calgary; Alberta Health Services; McMaster University","funders":"Canadian Cancer Society","keywords":"microRNA; Cancer; Carcinogenesis; Medicine; Oncology; Bioinformatics; Internal medicine; Comparability; Biology; Genetics; Gene","score_opus":0.1176767303961155,"score_gpt":0.48608357696478305,"score_spread":0.36840684656866757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769989401","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":[0.009844622,0.988174,0.00018738424,0.00011977036,0.00008872115,0.0014307386,0.00013243282,0.0000075493485,0.000014759114],"genre_scores_gemma":[0.0019804204,0.99590373,0.00041655495,0.000022390652,0.00016474054,0.0011811516,0.00027811195,0.00003106445,0.000021810767],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969464,0.0013386941,0.00062147365,0.0007825413,0.00005904324,0.00025184255],"domain_scores_gemma":[0.99699295,0.00017299897,0.0020571493,0.0006041012,0.00007295539,0.00009986257],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011845755,0.00033540858,0.0013371523,0.00009208308,0.00012496988,0.000006591542,0.00018689109,0.00044152644,0.000008510373],"category_scores_gemma":[0.00077229476,0.00028138506,0.00033544397,0.00009301259,0.00029711335,0.00001529946,0.00023744327,0.00020794236,3.8734078e-7],"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":[0.000028972765,0.000062134015,0.0062119323,0.032529213,0.00019436632,2.2275577e-7,0.000005173603,4.5788187e-7,0.002173798,0.0000077498225,0.00040014824,0.9583858],"study_design_scores_gemma":[0.000899559,0.00021800534,0.08965011,0.42849204,0.0024999075,0.000035917998,0.0000038350922,0.00011448645,0.000526439,0.0008987204,0.47571558,0.0009454182],"about_ca_topic_score_codex":0.000112160524,"about_ca_topic_score_gemma":0.000062008156,"teacher_disagreement_score":0.95744044,"about_ca_system_score_codex":0.00008520402,"about_ca_system_score_gemma":0.000285114,"threshold_uncertainty_score":0.9999638},"labels":[],"label_agreement":null},{"id":"W2779445626","doi":"10.1158/1055-9965.epi-17-0861","title":"Association between Dietary Energy Density and Risk of Breast, Endometrial, Ovarian, and Colorectal Cancer among Canadian Women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Breast Cancer Research Foundation","keywords":"Medicine; Endometrial cancer; Breast cancer; Oncology; Internal medicine; Colorectal cancer; Ovarian cancer; Proportional hazards model; Cohort study; Prospective cohort study; Cohort; Gynecology; Cancer; Obstetrics","score_opus":0.03367579149144948,"score_gpt":0.3224447326043717,"score_spread":0.2887689411129222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779445626","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":[0.98897713,0.0060633207,0.000045816643,0.0037723384,0.0003539244,0.00026404907,0.0003459298,0.000011570031,0.00016594457],"genre_scores_gemma":[0.98029417,0.01854446,0.00021197974,0.00011619821,0.0003874606,0.00012767252,0.00007724666,0.000010795943,0.00023001277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843603,0.0003480297,0.00039605316,0.00034353815,0.000097638156,0.00037871732],"domain_scores_gemma":[0.9980477,0.0006210527,0.00072714686,0.0001580742,0.00015081189,0.00029517864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017432144,0.00015247258,0.0006711479,0.00013724536,0.00044426904,0.000009673555,0.00006590174,0.0002592584,0.00007086257],"category_scores_gemma":[0.0012474456,0.00014102747,0.00010203586,0.00007475731,0.00032415727,0.00011309387,0.00007495709,0.00012965458,4.3587602e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045159025,0.00002163372,0.9752439,0.000050259605,0.0025228485,0.0000026255082,0.00003317162,3.1818368e-7,0.00014157701,0.000052294952,0.0033840996,0.018095644],"study_design_scores_gemma":[0.001982196,0.00017680066,0.99183774,0.00015061736,0.0007074024,0.0000045959227,0.000037520775,0.000034212182,0.00007909275,0.0037786004,0.0010921189,0.00011909773],"about_ca_topic_score_codex":0.38332248,"about_ca_topic_score_gemma":0.21512324,"teacher_disagreement_score":0.16819924,"about_ca_system_score_codex":0.000639077,"about_ca_system_score_gemma":0.00015540501,"threshold_uncertainty_score":0.79919875},"labels":[],"label_agreement":null},{"id":"W2780528898","doi":"10.1158/1055-9965.epi-17-0509","title":"Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention","year":2017,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","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":"Alberta Cancer Foundation; Alberta Health Services","funders":"National Cancer Institute; National Institutes of Health; World Health Organization","keywords":"Cancer prevention; Cancer; Epidemiology; Obesity; Physical activity; Gerontology; Environmental health; Microbiome; Medicine; Cancer incidence; Metabolome; Epidemiology of cancer; Nutritional epidemiology; Bioinformatics; Biology; Metabolomics; Pathology; Breast cancer; Internal medicine; Physical therapy","score_opus":0.4832146952264335,"score_gpt":0.5918196454653826,"score_spread":0.10860495023894906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780528898","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":[0.0009783393,0.98920155,0.00052698894,0.0049413587,0.0004812776,0.0032458848,0.00042991564,0.000038235492,0.0001564573],"genre_scores_gemma":[0.0003454311,0.9886014,0.0013545804,0.000094406205,0.0016795483,0.006390304,0.00060538494,0.000051028535,0.00087795535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944395,0.0024267158,0.0008449058,0.0012683428,0.00016709615,0.0008534691],"domain_scores_gemma":[0.99202317,0.0059673567,0.0009853307,0.00041187854,0.00033701616,0.00027526758],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005857622,0.00052646245,0.0036186911,0.00029221558,0.00077720033,0.000022846729,0.00017085642,0.00085220113,0.000045793215],"category_scores_gemma":[0.0018016441,0.00042901942,0.00084953377,0.00013840893,0.0015143568,0.00021556419,0.00022587409,0.00074398075,0.0000045686807],"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":[0.00057721004,0.0003251224,0.0014870121,0.020791808,0.00190409,0.0000033400645,0.000011227871,3.0070743e-7,0.0000033336257,0.0057465276,0.023425099,0.9457249],"study_design_scores_gemma":[0.0015627217,0.00072714686,0.010270842,0.019173319,0.0021085993,0.00005664209,0.00006143775,0.00009280327,5.568496e-7,0.115782365,0.8497901,0.0003734418],"about_ca_topic_score_codex":0.00041917502,"about_ca_topic_score_gemma":0.00018947976,"teacher_disagreement_score":0.9453515,"about_ca_system_score_codex":0.00043093192,"about_ca_system_score_gemma":0.00087205216,"threshold_uncertainty_score":0.9998162},"labels":[],"label_agreement":null},{"id":"W2784695928","doi":"10.1158/1055-9965.epi-17-0689","title":"Marine ω-3 Polyunsaturated Fatty Acid and Fish Intake after Colon Cancer Diagnosis and Survival: CALGB 89803 (Alliance)","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":67,"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 du Sacré-Cœur de Montréal","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Polyunsaturated fatty acid; Eicosapentaenoic acid; Colorectal cancer; Fish <Actinopterygii>; Fish oil; Marine fish; Internal medicine; Medicine; Cancer; Docosahexaenoic acid; Gastroenterology; Oncology; Biology; Fatty acid; Fishery; Biochemistry","score_opus":0.06247459736942403,"score_gpt":0.39062910066919604,"score_spread":0.328154503299772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784695928","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":[0.92885035,0.022722203,0.00038558897,0.04379003,0.002744997,0.0010689318,0.00017651817,0.00012494903,0.00013642893],"genre_scores_gemma":[0.9600746,0.026268506,0.004067884,0.0062435516,0.00094987656,0.0018630966,0.00018468408,0.00007061715,0.00027720726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959623,0.0013972828,0.0006547788,0.0008641367,0.00016209912,0.0009593701],"domain_scores_gemma":[0.99816495,0.0005703759,0.00031578317,0.0003272572,0.00020378073,0.00041784113],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019583965,0.00033949304,0.00066489674,0.0001414076,0.00036049474,0.000034517976,0.0001675155,0.00044380352,0.0010496232],"category_scores_gemma":[0.0006559547,0.00030860002,0.00010444894,0.00032936814,0.0011081028,0.00027488364,0.00018063158,0.0004107032,0.000016950216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029197298,0.000058312165,0.80388045,0.00022715906,0.00021162946,0.000007868666,0.00013845944,3.4174587e-7,0.0021630554,0.000029309354,0.02473694,0.16562676],"study_design_scores_gemma":[0.0015515641,0.00064462,0.97175467,0.00046059876,0.00012020351,0.000011228736,0.000056960806,0.00038789437,0.0072933314,0.0020969668,0.015274626,0.00034734706],"about_ca_topic_score_codex":0.006507661,"about_ca_topic_score_gemma":0.038207684,"teacher_disagreement_score":0.16787423,"about_ca_system_score_codex":0.00038303356,"about_ca_system_score_gemma":0.00012283803,"threshold_uncertainty_score":0.9999366},"labels":[],"label_agreement":null},{"id":"W2785204490","doi":"10.1158/1055-9965.epi-17-0715","title":"Carcinogen Exposure among Canadian Tobacco Users: Changes in NNK Exposure from 2007–2009 through 2012–2013","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Institut National de Santé Publique du Québec; Public Health Agency of Canada","keywords":"Carcinogen; Environmental health; Third-hand smoke; Medicine; Biology; Genetics; Sidestream smoke; Cigarette smoke","score_opus":0.07004024547854137,"score_gpt":0.35485746950090097,"score_spread":0.2848172240223596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785204490","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":[0.9813863,0.008406462,0.00020703755,0.0061856704,0.0023820882,0.0007945346,0.000089464185,0.0000750228,0.00047342316],"genre_scores_gemma":[0.9932945,0.0012387048,0.000589526,0.0017099206,0.0012424138,0.0002812903,0.0006791546,0.00004284287,0.0009216984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710625,0.0006104386,0.0006383396,0.00072348025,0.00017067028,0.0007508162],"domain_scores_gemma":[0.99847496,0.00017177573,0.00032726084,0.00055682653,0.00017326463,0.00029589914],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012555416,0.00031575837,0.0006384538,0.0002966608,0.0001508328,0.0000122099345,0.00019124107,0.00071564,0.0028656225],"category_scores_gemma":[0.00023682113,0.0003026028,0.00016199576,0.00034926468,0.00034305523,0.00032696594,0.000036989382,0.00031824314,0.000041070238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017062631,0.000045522433,0.9384084,0.000017107914,0.000173333,0.000017091841,0.0004988634,0.0000021527749,0.00066299504,0.000015618563,0.046688024,0.013300316],"study_design_scores_gemma":[0.0014381964,0.00036993486,0.98410106,0.0004533784,0.00028752605,0.000007280411,0.00038509123,0.000028978593,0.00077866786,0.0009533504,0.010917058,0.00027947422],"about_ca_topic_score_codex":0.38167796,"about_ca_topic_score_gemma":0.7231153,"teacher_disagreement_score":0.34143737,"about_ca_system_score_codex":0.00072334707,"about_ca_system_score_gemma":0.00033723112,"threshold_uncertainty_score":0.9999426},"labels":[],"label_agreement":null},{"id":"W2791993525","doi":"10.1158/1055-9965.epi-17-0769","title":"Physical Activity and Outcomes in Patients with Stage III Colon Cancer: A Correlative Analysis of Phase III Trial NCCTG N0147 (Alliance)","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"National Institute of General Medical Sciences; National Cancer Institute; Canadian Cancer Society Research Institute; American College of Radiology Imaging Network","keywords":"Medicine; Colorectal cancer; FOLFOX; Internal medicine; Cancer; Oncology; Confidence interval; Cetuximab; Stage (stratigraphy); Proportional hazards model; Physical activity; Physical therapy; Oxaliplatin","score_opus":0.039705050414382964,"score_gpt":0.39888843364803733,"score_spread":0.3591833832336544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791993525","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":[0.9958805,0.0006445113,0.00079085317,0.00045655182,0.0005736677,0.0013756362,0.00017292051,0.000025240986,0.00008013798],"genre_scores_gemma":[0.99838895,0.000230643,0.00006610873,0.00015221472,0.00012287791,0.00032304478,0.00012575071,0.000017780925,0.00057261833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976982,0.00058648264,0.00052747235,0.0006195606,0.00019813656,0.00037015363],"domain_scores_gemma":[0.9981332,0.00048077438,0.00070705934,0.0003191185,0.0002166729,0.00014317626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080115837,0.0002717806,0.0015982459,0.00027373465,0.000073128766,0.0000037841746,0.00008777426,0.00020748707,0.00018928421],"category_scores_gemma":[0.00017200499,0.00021403831,0.0002870922,0.00082856533,0.00059975014,0.00015494043,0.00004929798,0.00022502408,0.0000012816373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10976214,0.0009856863,0.85783356,0.000058707672,0.003621999,0.0000017695962,0.0007404789,0.000014247487,0.00021826431,0.000032564483,0.00017478198,0.026555791],"study_design_scores_gemma":[0.076564126,0.003067615,0.9141035,0.00023321915,0.002885277,1.4835344e-7,0.00016057337,0.0021661809,0.00030551862,0.00007834866,0.00021179902,0.00022366691],"about_ca_topic_score_codex":0.008005186,"about_ca_topic_score_gemma":0.029023346,"teacher_disagreement_score":0.05626996,"about_ca_system_score_codex":0.00038230626,"about_ca_system_score_gemma":0.00022024997,"threshold_uncertainty_score":0.9986006},"labels":[],"label_agreement":null},{"id":"W2792079815","doi":"10.1158/1055-9965.epi-18-0047","title":"Sleep and Cancer Incidence in Alberta's Tomorrow Project Cohort","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Sleep and related disorders","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hazard ratio; Cohort; Prostate cancer; Endometrial cancer; Proportional hazards model; Incidence (geometry); Internal medicine; Cancer; Cohort study; Confidence interval; Breast cancer; Sleep (system call); Demography","score_opus":0.03758895933398843,"score_gpt":0.3930751636826757,"score_spread":0.3554862043486873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792079815","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":[0.95416695,0.028096871,0.00060107064,0.0053536007,0.003793842,0.0012293489,0.000009252896,0.00007856604,0.006670517],"genre_scores_gemma":[0.9891077,0.003692418,0.00043135998,0.0018180272,0.0003326068,0.0013113297,0.000037614707,0.000041074512,0.0032278483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966775,0.001068361,0.0006631794,0.00085227774,0.00008192638,0.00065672334],"domain_scores_gemma":[0.99858266,0.00055479084,0.00032419155,0.00036186274,0.00007281898,0.00010370174],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001628041,0.000268013,0.0004894041,0.0002794021,0.00012547254,0.0000072096914,0.00020992423,0.00055355666,0.0014674902],"category_scores_gemma":[0.00034143016,0.00024209725,0.0001109082,0.00045723128,0.0007033607,0.00014495681,0.000076150114,0.00028831008,0.00010295237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004217473,0.00009576586,0.88982385,0.00001574547,0.0009938839,0.000006035983,0.00084995246,0.0000051213406,0.00008981085,0.00068926695,0.018240519,0.08876828],"study_design_scores_gemma":[0.002614989,0.0003126805,0.9733635,0.00027791562,0.00046187008,0.000029835452,0.0006119917,0.0011164597,0.00007204185,0.0062867883,0.014340263,0.0005116389],"about_ca_topic_score_codex":0.067213975,"about_ca_topic_score_gemma":0.037481293,"teacher_disagreement_score":0.08825664,"about_ca_system_score_codex":0.00017702811,"about_ca_system_score_gemma":0.00009652552,"threshold_uncertainty_score":0.9994453},"labels":[],"label_agreement":null},{"id":"W2792602320","doi":"10.1158/1055-9965.epi-18-0012","title":"Metformin Is Not Associated with Incidence Risk of Non-Hodgkin Lymphomas among Diabetic Patients","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute in Oncology and Hematology; University of Manitoba; Manitoba Health","funders":"Merck Canada; Research Manitoba","keywords":"Metformin; Medicine; Internal medicine; Confounding; Odds ratio; Diabetes mellitus; Incidence (geometry); Cancer; Confidence interval; Logistic regression; Population; Lymphoma; Oncology; Endocrinology; Insulin; Environmental health","score_opus":0.016090197032017958,"score_gpt":0.30021780855981867,"score_spread":0.2841276115278007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792602320","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":[0.96897596,0.028129527,0.0015466458,0.000027353302,0.0005641782,0.00043928082,0.00012417109,0.000015767908,0.00017711786],"genre_scores_gemma":[0.984455,0.013078302,0.00090488326,0.000574327,0.00023796034,0.0001912897,0.00025245678,0.00003341604,0.00027237154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971383,0.000761486,0.0006978059,0.0006852796,0.00017443448,0.0005426569],"domain_scores_gemma":[0.99774617,0.00014954334,0.0010807962,0.00051559514,0.00036733807,0.000140557],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018198546,0.00030989866,0.0006120752,0.00009758787,0.0001330042,0.000006132569,0.00030767624,0.00041760932,0.00017116529],"category_scores_gemma":[0.0010855343,0.00025659773,0.00023752789,0.0002492033,0.0007713792,0.00002264636,0.0001145835,0.00011275282,0.000008570182],"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":[0.000376047,0.00010940041,0.8845455,0.000030190657,0.00095070864,3.2884526e-7,0.00006881279,0.000007970016,0.003813184,0.000011117589,0.005857096,0.10422963],"study_design_scores_gemma":[0.0020712975,0.0009741427,0.8833964,0.00024860085,0.00043678857,5.237195e-7,0.000028130857,0.0002798193,0.10452497,0.0005797852,0.0070792227,0.00038035554],"about_ca_topic_score_codex":0.00041092417,"about_ca_topic_score_gemma":0.000784811,"teacher_disagreement_score":0.10384928,"about_ca_system_score_codex":0.00009759005,"about_ca_system_score_gemma":0.00019439225,"threshold_uncertainty_score":0.9999886},"labels":[],"label_agreement":null},{"id":"W2795771650","doi":"10.1158/1055-9965.epi-17-0936","title":"Association of Metformin with Breast Cancer Incidence and Mortality in Patients with Type II Diabetes: A GRADE-Assessed Systematic Review and Meta-analysis","year":2018,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"","keywords":"Medicine; Breast cancer; Metformin; Meta-analysis; Internal medicine; Cochrane Library; Incidence (geometry); Observational study; Publication bias; Oncology; Cancer; Relative risk; Funnel plot; Confidence interval; Insulin","score_opus":0.05050222182170584,"score_gpt":0.36773558599902034,"score_spread":0.3172333641773145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795771650","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":[0.00976979,0.98756164,0.000030555453,0.000032079184,0.00006881472,0.0021524073,0.00037576698,0.000006415594,0.0000025022698],"genre_scores_gemma":[0.0010267793,0.9963315,0.00017156928,0.00023212131,0.00003614601,0.0015335764,0.0005384554,0.000034875182,0.000094968964],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9950641,0.0020302227,0.0013960565,0.00089640316,0.00021285482,0.00040040413],"domain_scores_gemma":[0.9958015,0.00018245928,0.0028900704,0.00058720645,0.0004310159,0.00010776897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034706246,0.0005313596,0.005766878,0.00020227305,0.000068036235,0.000009195487,0.00022305052,0.00047833475,0.00007697331],"category_scores_gemma":[0.00036695332,0.00033431142,0.0006135253,0.00074697984,0.0002136275,0.000028582997,0.000117350304,0.00016506553,4.4214266e-7],"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":[0.00008096786,0.00017946491,0.21865226,0.44325495,0.3240953,5.0780886e-7,0.00002010042,0.0000026325638,0.0000021733304,0.0000064484607,0.0007531087,0.012952101],"study_design_scores_gemma":[0.0006600701,0.00038952357,0.027365098,0.030159969,0.9337753,0.0000017730684,0.0000058330643,0.000005848324,0.000007960332,0.000044583503,0.006894512,0.0006895366],"about_ca_topic_score_codex":0.00023443931,"about_ca_topic_score_gemma":0.0015480815,"teacher_disagreement_score":0.60968,"about_ca_system_score_codex":0.00015919947,"about_ca_system_score_gemma":0.00030923585,"threshold_uncertainty_score":0.9999109},"labels":[],"label_agreement":null},{"id":"W2799827542","doi":"10.1158/1055-9965.epi-18-0076","title":"Geographic Differences in Baseline Prostate Inflammation and Relationship with Subsequent Prostate Cancer Risk: Results from the Multinational REDUCE Trial","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity College","funders":"National Institutes of Health; National Cancer Institute; Irish Cancer Society; GlaxoSmithKline; American Institute for Cancer Research","keywords":"Prostate cancer; Medicine; Dutasteride; Prostate biopsy; Prostate; Odds ratio; Confidence interval; Internal medicine; Cancer; Incidence (geometry); Relative risk; Inflammation; Oncology; Demography","score_opus":0.05695865572960962,"score_gpt":0.3476548375205615,"score_spread":0.29069618179095186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799827542","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":[0.9781828,0.0042514876,0.00018509079,0.013293017,0.0005093625,0.0031315899,0.00033008232,0.000075358854,0.00004119239],"genre_scores_gemma":[0.99176574,0.0021182345,0.0025565592,0.00019042761,0.000670047,0.0018428903,0.0006886602,0.000028602528,0.00013881185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99490243,0.0023204854,0.0012154101,0.00083060726,0.0002780162,0.00045303282],"domain_scores_gemma":[0.99559045,0.0024085506,0.0010662299,0.00041635055,0.00036012637,0.00015829827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053145015,0.0003198115,0.0005001227,0.0002491079,0.0003514087,0.000024538505,0.00014832852,0.00025986877,0.000081053935],"category_scores_gemma":[0.0039329748,0.000216265,0.00012103682,0.00049376406,0.0011045673,0.0002509898,0.00006635705,0.00037009778,0.000005788155],"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":[0.068943754,0.0000825401,0.9064551,0.000042503332,0.00043471603,0.0000049832233,0.0005316616,0.000010323501,0.00021849634,0.000064256674,0.0006977682,0.022513913],"study_design_scores_gemma":[0.02682805,0.00042205062,0.96367264,0.0009634739,0.00044871646,0.000004044229,0.00015685143,0.0031005219,0.00031359404,0.0034524254,0.00039579885,0.00024183132],"about_ca_topic_score_codex":0.002339645,"about_ca_topic_score_gemma":0.004413178,"teacher_disagreement_score":0.057217557,"about_ca_system_score_codex":0.00025359908,"about_ca_system_score_gemma":0.0004207973,"threshold_uncertainty_score":0.8819031},"labels":[],"label_agreement":null},{"id":"W2805297467","doi":"10.1158/1055-9965.epi-17-1127","title":"Collaborative Method Performance Study of the Measurement of Nicotine, Its Metabolites, and Total Nicotine Equivalents in Human Urine","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec","funders":"National Cancer Institute; Centers for Disease Control and Prevention; National Institutes of Health","keywords":"Cotinine; Nicotine; Urine; Chromatography; Urinary system; Chemistry; Smoking cessation; Biomarker; Metabolite; Physiology; Medicine; Pharmacology; Internal medicine; Biochemistry; Pathology","score_opus":0.08621338595466248,"score_gpt":0.41571258451906307,"score_spread":0.3294991985644006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805297467","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":[0.99634415,0.0017848506,0.00010028303,0.00021851377,0.0003435274,0.0010970073,0.000007891733,0.000010364517,0.00009342251],"genre_scores_gemma":[0.99917126,0.00014668425,0.00034657473,0.000034495642,0.000068600595,0.00010999514,0.000010315976,0.0000114753075,0.00010058011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975069,0.0009125444,0.0007922008,0.0003291865,0.00025117616,0.00020795736],"domain_scores_gemma":[0.9984934,0.00009900288,0.00061141537,0.00028207625,0.0004671895,0.000046916575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033598605,0.00015418578,0.00057451223,0.00014787291,0.000072616436,0.0000016356439,0.000097140975,0.0001129126,0.00006705899],"category_scores_gemma":[0.000372134,0.00011225004,0.00007313768,0.00045939346,0.00018819029,0.00008107935,0.000081385384,0.0001343999,2.306623e-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":[0.00043137133,0.0004571227,0.9397752,0.00011943907,0.00025288976,1.3922016e-7,0.00048843055,0.000010834483,0.05247295,0.00004947683,0.00008960339,0.0058524967],"study_design_scores_gemma":[0.0027580108,0.0009839017,0.9228326,0.00039388292,0.0004424316,0.0000028496686,0.00047137696,0.00020382459,0.07170791,0.00009137604,0.000031322994,0.0000804766],"about_ca_topic_score_codex":0.00028770446,"about_ca_topic_score_gemma":0.0003383969,"teacher_disagreement_score":0.019234965,"about_ca_system_score_codex":0.00014087424,"about_ca_system_score_gemma":0.00010924727,"threshold_uncertainty_score":0.45774236},"labels":[],"label_agreement":null},{"id":"W2807512506","doi":"10.1158/1055-9965.epi-18-0018","title":"A Comparison of Direct and Indirect Analytical Approaches to Measuring Total Nicotine Equivalents in Urine","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":17,"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 Brain Institute; Centre for Addiction and Mental Health","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; Government of Canada; National Institutes of Health; National Institute on Drug Abuse; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs","keywords":"Nicotine; Urine; Equivalent; Medicine; Internal medicine","score_opus":0.3980622121952399,"score_gpt":0.4492935860447673,"score_spread":0.05123137384952742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807512506","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":[0.99647504,0.0009230661,0.00054298545,0.00081537693,0.00024078446,0.0004142,0.000003823503,0.00002826142,0.0005564522],"genre_scores_gemma":[0.99885976,0.000036727735,0.0006724128,0.000054006086,0.00011789872,0.000066571105,0.00003016326,0.000012796967,0.00014966419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982632,0.00034319752,0.0006078453,0.0003873222,0.00012545762,0.00027300016],"domain_scores_gemma":[0.99926585,0.0001742321,0.00020152764,0.00018777435,0.00005140387,0.0001192322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017928169,0.00014081677,0.0006491234,0.00027163577,0.00003837801,0.0000027331462,0.000055033524,0.0001630876,0.000063716296],"category_scores_gemma":[0.000530266,0.00012836242,0.00008755141,0.00030573554,0.00019724018,0.000056085602,0.000060220624,0.00012362612,0.0000017086251],"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":[0.0005349821,0.00018422952,0.96924007,0.000081764716,0.00013509367,7.450019e-7,0.00022209332,0.000010860159,0.0020218818,0.000036965765,0.00024655365,0.027284743],"study_design_scores_gemma":[0.00097304286,0.00048066315,0.98625386,0.0004496474,0.00022159076,0.0000074976383,0.000069249276,0.0014934194,0.009755022,0.00013593951,0.000051947813,0.00010812371],"about_ca_topic_score_codex":0.00020615112,"about_ca_topic_score_gemma":0.000135752,"teacher_disagreement_score":0.02717662,"about_ca_system_score_codex":0.00016238856,"about_ca_system_score_gemma":0.00005067436,"threshold_uncertainty_score":0.52344674},"labels":[],"label_agreement":null},{"id":"W2808572698","doi":"10.1158/1055-9965.epi-17-1185","title":"Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","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":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of General Medical Sciences; Horizon 2020 Framework Programme; National Cancer Institute; Government of Canada; Cancer Research UK; National Institutes of Health; European Commission; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Genome Canada","keywords":"Breast cancer; Genome-wide association study; Incidence (geometry); Confidence interval; Oncology; Medicine; Population; Cancer; Genetic association; Internal medicine; Genetics; Biology; Single-nucleotide polymorphism; Gene; Genotype","score_opus":0.01963434072695482,"score_gpt":0.31845036541177163,"score_spread":0.29881602468481683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808572698","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":[0.98665214,0.0035125727,0.0034948592,0.003235443,0.0005460512,0.00071562605,0.0018133225,0.000023120534,0.000006880842],"genre_scores_gemma":[0.99487764,0.002061807,0.000916844,0.00039583843,0.0006550167,0.00044227458,0.00040675167,0.00002850401,0.00021531749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964672,0.0012788278,0.0008754795,0.0007788486,0.0001468147,0.00045286454],"domain_scores_gemma":[0.9977576,0.00018197884,0.001105018,0.00031255008,0.0005058728,0.00013693837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029719356,0.00028429626,0.00055854814,0.00014498316,0.00023088354,0.000012203169,0.00014191597,0.00052988296,0.00008767255],"category_scores_gemma":[0.0003539409,0.00027919255,0.00011615231,0.00022316694,0.0002730537,0.000025505624,0.000115318435,0.00014402713,0.0000022142185],"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":[0.00041126652,0.00012727418,0.95280725,0.000030927018,0.00067353464,2.7830873e-7,0.00016376581,0.00010870221,0.040166546,0.0000024012186,0.0010420219,0.0044660293],"study_design_scores_gemma":[0.00146383,0.0005490325,0.99500793,0.000066219545,0.0003613705,0.000010780588,0.000065354754,0.0014767641,0.00022223631,0.0003363793,0.00021961455,0.00022050965],"about_ca_topic_score_codex":0.003267357,"about_ca_topic_score_gemma":0.0018517365,"teacher_disagreement_score":0.042200655,"about_ca_system_score_codex":0.0002579848,"about_ca_system_score_gemma":0.000287539,"threshold_uncertainty_score":0.999966},"labels":[],"label_agreement":null},{"id":"W2811218393","doi":"10.1158/1055-9965.epi-18-0113","title":"Reassessing the Association between Circulating Vitamin D and IGFBP-3: Observational and Mendelian Randomization Estimates from Independent Sources","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":10,"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 Cancer Institute; National Heart, Lung, and Blood Institute; Medical Research Council; University of Bristol; National Institute for Health and Care Research; Cancer Research UK; National Cancer Research Institute; University Hospitals Bristol NHS Foundation Trust; Wellcome Trust; National Institutes of Health; Ovarian Cancer Research Fund; Royal Marsden NHS Foundation Trust; Cancer Research Institute; Canadian Institutes of Health Research; Wellcome; Breast Cancer Research Foundation","keywords":"Mendelian randomization; Prostate cancer; Medicine; Internal medicine; Oncology; Causal inference; Vitamin D and neurology; Observational study; Cancer; Gynecology; Pathology; Biology; Gene; Genetics","score_opus":0.08112098985792794,"score_gpt":0.3610669161394935,"score_spread":0.27994592628156556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811218393","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":[0.98273593,0.0034937526,0.008218347,0.0046385187,0.00027135215,0.0004605015,0.000020521553,0.000052232583,0.00010884492],"genre_scores_gemma":[0.9947774,0.0004413298,0.0031595773,0.0005502124,0.00056840543,0.00005695818,0.00036442763,0.000018903562,0.000062831496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979368,0.0005437934,0.0006399057,0.00041898913,0.00017641099,0.00028411963],"domain_scores_gemma":[0.99716383,0.001790507,0.0006117918,0.00015492708,0.00017085824,0.000108065266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451705,0.00018965767,0.00047879154,0.00010033924,0.00036913762,0.000031405543,0.00006252074,0.00028925246,0.000040426865],"category_scores_gemma":[0.0019172216,0.00014283469,0.000081965096,0.00017008853,0.00021373032,0.00025429123,0.000058602076,0.00018641929,0.0000033453357],"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":[0.00018587093,0.00001346078,0.97601485,0.000024592993,0.00056549883,5.1250015e-7,0.00023451995,0.0000028210125,0.003618224,0.00008875791,0.0004998918,0.018751008],"study_design_scores_gemma":[0.0024975794,0.00009340912,0.9848971,0.00024757013,0.0006092259,0.000004253253,0.00015866576,0.0038415154,0.00072625634,0.006489442,0.00029795486,0.00013702734],"about_ca_topic_score_codex":0.00066672673,"about_ca_topic_score_gemma":0.00008981447,"teacher_disagreement_score":0.018613981,"about_ca_system_score_codex":0.00021173387,"about_ca_system_score_gemma":0.00008968129,"threshold_uncertainty_score":0.58246297},"labels":[],"label_agreement":null},{"id":"W2848952514","doi":"10.1158/1055-9965.epi-18-0175","title":"Physical Activity, Global DNA Methylation, and Breast Cancer Risk: A Systematic Literature Review and Meta-analysis","year":2018,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":"Alberta Cancer Foundation; University of Calgary; Queen's University; Alberta Health Services","funders":"American Association for Cancer Research","keywords":"DNA methylation; Breast cancer; Methylation; Oncology; Cancer; Internal medicine; Meta-analysis; Medicine; Confidence interval; Prospective cohort study; Subgroup analysis; Bioinformatics; Biology; DNA; Genetics; Gene; Gene expression","score_opus":0.07008133926611944,"score_gpt":0.4247770976097666,"score_spread":0.3546957583436472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2848952514","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":[0.00028004806,0.99442273,0.0015119265,0.00039095533,0.00013737376,0.0018723559,0.0013555238,0.0000163443,0.000012759439],"genre_scores_gemma":[0.00033080735,0.99668396,0.0003285078,0.00011745535,0.00028034468,0.0012846413,0.00068981654,0.00003813475,0.0002463654],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99263793,0.0045660664,0.0009637233,0.0013119038,0.00013878563,0.0003816152],"domain_scores_gemma":[0.9965495,0.00027975108,0.0020098218,0.00071306643,0.00025901245,0.00018885119],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028343445,0.00070198916,0.0049089314,0.00015041209,0.00016239604,0.000037490812,0.00022965785,0.00077214494,0.000041030755],"category_scores_gemma":[0.00045280377,0.0005001316,0.0021505812,0.0007196098,0.00026611728,0.000018317372,0.00022198114,0.00024034828,0.0000030077238],"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":[0.000058590365,0.00014961886,0.0013190565,0.40536353,0.42842394,0.000002430127,0.000025794398,0.0000061705723,0.000055496872,0.00006439373,0.0020288925,0.16250207],"study_design_scores_gemma":[0.00019583835,0.00012100413,0.0014098623,0.015541428,0.95508176,0.000028549575,0.0000021678154,0.000056492012,0.000020057276,0.00074398285,0.026047979,0.0007509021],"about_ca_topic_score_codex":0.00009892271,"about_ca_topic_score_gemma":0.0002727387,"teacher_disagreement_score":0.5266578,"about_ca_system_score_codex":0.00010554292,"about_ca_system_score_gemma":0.00016246497,"threshold_uncertainty_score":0.999745},"labels":[],"label_agreement":null},{"id":"W2884331647","doi":"10.1158/1055-9965.epi-17-1124","title":"Physical Activity and Cancer Incidence in Alberta's Tomorrow Project: Results from a Prospective Cohort of 26,538 Participants","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Cancer Foundation; University of British Columbia; Public Health Ontario; University of Toronto; University of Calgary; Alberta Health Services","funders":"","keywords":"Medicine; Quartile; Cohort; Breast cancer; Confidence interval; Cancer; Demography; Cancer registry; Prospective cohort study; Multivariate statistics; Proportional hazards model; Cohort study; Cancer prevention; Internal medicine; Incidence (geometry); Multivariate analysis; Statistics","score_opus":0.09754852909569059,"score_gpt":0.43987316006481475,"score_spread":0.34232463096912413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884331647","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":[0.9943326,0.00042446295,0.000116840754,0.0034158528,0.00018918839,0.0012110762,0.000067075984,0.000030454617,0.00021246617],"genre_scores_gemma":[0.9980329,0.0005312763,0.00027784237,0.0001758902,0.000367082,0.00043329317,0.000018665436,0.000017572633,0.00014547205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975571,0.0006284487,0.0004678035,0.0007233971,0.00013702693,0.00048621622],"domain_scores_gemma":[0.99781007,0.0011584628,0.0004645367,0.0002937522,0.00011970703,0.00015349322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051212,0.00020559019,0.0009713086,0.00009678272,0.00007083705,0.000002870736,0.00008171174,0.00019274183,0.000023562103],"category_scores_gemma":[0.0013716763,0.00017587244,0.0001087582,0.0003182681,0.00066543196,0.00022023133,0.000080596394,0.0002923503,0.00000641544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061283484,0.0009994428,0.9511654,0.00010329573,0.0004027336,0.0000033065571,0.0012389346,0.0000020319837,0.01448169,0.0001353002,0.00056079996,0.024778755],"study_design_scores_gemma":[0.002069687,0.00074440974,0.97383434,0.0007562421,0.00025232745,0.0000018329879,0.000038528135,0.0034597276,0.012071042,0.006536937,0.00008153038,0.00015337438],"about_ca_topic_score_codex":0.10693563,"about_ca_topic_score_gemma":0.044454034,"teacher_disagreement_score":0.062481597,"about_ca_system_score_codex":0.00034554387,"about_ca_system_score_gemma":0.00047977667,"threshold_uncertainty_score":0.97298217},"labels":[],"label_agreement":null},{"id":"W2886574736","doi":"10.1158/1055-9965.epi-17-0900","title":"Effects of Exercise and Cardiorespiratory Fitness on Estrogen Metabolism in Postmenopausal Women","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":13,"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; Alberta Cancer Foundation; University of Calgary; Alberta Health Services","funders":"National Institutes of Health; Canadian Breast Cancer Research Alliance","keywords":"Cardiorespiratory fitness; Estrogen; Internal medicine; Breast cancer; Endocrinology; Estrone; Medicine; Physical exercise; Physiology; Cancer","score_opus":0.024058803516212875,"score_gpt":0.3453707803841373,"score_spread":0.32131197686792445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886574736","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":[0.96906173,0.02920612,0.00007236382,0.00026599166,0.0005664554,0.00070782885,0.000011444982,0.000023344357,0.000084719904],"genre_scores_gemma":[0.9962355,0.0025559857,0.00021351392,0.00036245043,0.00019478133,0.00031089495,0.000011878738,0.000021675956,0.00009331873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982958,0.00034902862,0.00047146904,0.000413289,0.00009510832,0.00037532655],"domain_scores_gemma":[0.99903864,0.00027064802,0.0002290893,0.00023630568,0.00006606142,0.00015923026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010541403,0.00019170747,0.000824765,0.00022402685,0.0000394228,0.0000020341713,0.000067874586,0.00020635438,0.00006423775],"category_scores_gemma":[0.00024314015,0.000163395,0.000100207195,0.00019490634,0.00039098438,0.00006239929,0.000041644416,0.00013742318,0.0000051681504],"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":[0.005442873,0.00027355418,0.7497853,0.00077231217,0.00080834574,0.0000242152,0.0007465231,0.0000060823904,0.020204687,0.00042584018,0.0019263992,0.21958388],"study_design_scores_gemma":[0.0027715676,0.0010037924,0.9831369,0.00084439875,0.0002673645,0.000004913438,0.00006744941,0.00003421263,0.007668817,0.0014638269,0.0025779377,0.0001588061],"about_ca_topic_score_codex":0.0005109096,"about_ca_topic_score_gemma":0.00004169902,"teacher_disagreement_score":0.23335163,"about_ca_system_score_codex":0.0002124318,"about_ca_system_score_gemma":0.00013219315,"threshold_uncertainty_score":0.6663055},"labels":[],"label_agreement":null},{"id":"W2887049708","doi":"10.1158/1055-9965.epi-18-0369","title":"Tristetraprolin Is a Prognostic Biomarker for Poor Outcomes among Patients with Low-Grade Prostate Cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","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":"Genome British Columbia","funders":"National Cancer Institute; Prostate Cancer Foundation; American Cancer Society","keywords":"Prostate cancer; Biochemical recurrence; Medicine; Biomarker; Oncology; Internal medicine; Proportional hazards model; Prostatectomy; Cancer; Metastasis; Cohort; Hazard ratio; PCA3; Localized disease; breakpoint cluster region; Biology; Confidence interval","score_opus":0.022802096855696532,"score_gpt":0.3286304197217707,"score_spread":0.3058283228660742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887049708","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":[0.9742516,0.007834704,0.0030982874,0.0018736557,0.008960833,0.00323116,0.0006273598,0.000059821814,0.0000625577],"genre_scores_gemma":[0.97190285,0.0024108086,0.003546833,0.0034333596,0.0067950874,0.0056417505,0.0016063881,0.00017049767,0.004492422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967982,0.000371499,0.0007495247,0.0010831873,0.0001577195,0.0008398339],"domain_scores_gemma":[0.99809533,0.00013406703,0.0006209913,0.0004929194,0.0004326998,0.00022401348],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00090797164,0.00046709992,0.00067420094,0.00014425063,0.00023792818,0.000019006831,0.00028452548,0.00042174893,0.000106434636],"category_scores_gemma":[0.00044391147,0.00037244248,0.00037734964,0.00023066669,0.00070727564,0.00002759765,0.000084330066,0.000120368495,0.000006863308],"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":[0.0017489368,0.0001865825,0.87457645,0.0001178315,0.001059257,6.257899e-8,0.00007155327,0.0000055740534,0.003620866,0.000013843164,0.094493344,0.02410571],"study_design_scores_gemma":[0.0050778105,0.0007182047,0.8169535,0.00020368608,0.0003957574,0.0000012389436,0.00003026079,0.00016019192,0.0020461981,0.00036796817,0.17350985,0.0005353516],"about_ca_topic_score_codex":0.00044946768,"about_ca_topic_score_gemma":0.0016417751,"teacher_disagreement_score":0.07901651,"about_ca_system_score_codex":0.00009901573,"about_ca_system_score_gemma":0.00032567297,"threshold_uncertainty_score":0.99987274},"labels":[],"label_agreement":null},{"id":"W2887105485","doi":"10.1158/1538-7755.disp17-a35","title":"Abstract A35: An integrative model of cancer disparities based on the calcium molecular theory of carcinogenesis","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association; University of Ottawa","funders":"","keywords":"Cancer; Carcinogenesis; Population; Prostate cancer; Biology; Genetics; Medicine; Bioinformatics; Environmental health","score_opus":0.05599373585454912,"score_gpt":0.36240255879732747,"score_spread":0.3064088229427783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887105485","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":[0.9591247,0.009263179,0.029540095,0.0007975087,0.0002480197,0.00038414972,0.00033259654,0.000009490918,0.00030029527],"genre_scores_gemma":[0.9969334,0.0007566947,0.0007457832,0.00091208454,0.0001556993,0.00020789553,0.00018342714,0.00002337686,0.00008163464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99799275,0.0007232497,0.0004804213,0.0004336439,0.00010434838,0.00026560397],"domain_scores_gemma":[0.99856603,0.00014272137,0.00037614882,0.0005226371,0.00029434272,0.000098101176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010144145,0.00021794476,0.00032155673,0.0000729895,0.000089362344,0.000003345479,0.0002644034,0.00022562793,0.00010297304],"category_scores_gemma":[0.00031618707,0.00016261516,0.00026101118,0.00008582078,0.0009259373,0.000007133159,0.000043593333,0.00007157576,7.705515e-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":[0.0030364199,0.0004097903,0.097522125,0.00017668074,0.000606502,6.1999793e-7,0.00010065452,0.0034882706,0.880057,0.0040750173,0.0032429802,0.0072839553],"study_design_scores_gemma":[0.0009975787,0.00076178083,0.10215598,0.0002920279,0.00030016145,3.946132e-7,0.00025820982,0.008716034,0.85604995,0.029942822,0.00018943874,0.00033563914],"about_ca_topic_score_codex":0.00038672914,"about_ca_topic_score_gemma":0.00039244498,"teacher_disagreement_score":0.03780874,"about_ca_system_score_codex":0.000038122304,"about_ca_system_score_gemma":0.000290566,"threshold_uncertainty_score":0.6631254},"labels":[],"label_agreement":null},{"id":"W2890555847","doi":"10.1158/1538-7755.disp17-a89","title":"Abstract A89: Gender and racial disparities in non-small cell lung cancer: A systematic review","year":2018,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; Alberta Health Services; University of Calgary","funders":"","keywords":"Lung cancer; Medicine; Disease; Incidence (geometry); Cancer; Ethnic group; Demography; Etiology; Mortality rate; Race (biology); Health equity; Gerontology; Oncology; Internal medicine; Pathology; Public health; Biology","score_opus":0.048944350331965626,"score_gpt":0.37246168606294316,"score_spread":0.3235173357309775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890555847","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":[0.0003695973,0.99489,0.00035346486,0.000102778504,0.00071880914,0.0032843414,0.00018217803,0.00001537553,0.00008345121],"genre_scores_gemma":[0.00038408785,0.99464244,0.00016164687,0.00050931546,0.0003836729,0.0027912,0.00072185515,0.00007414845,0.00033165823],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99523085,0.0012284812,0.0017805519,0.0010306819,0.00009562746,0.0006338325],"domain_scores_gemma":[0.9980358,0.00021484162,0.00094154925,0.00056619436,0.00007240233,0.00016924049],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002207501,0.00068959146,0.0029778485,0.00015355357,0.00010542401,0.00001581421,0.0003561639,0.0009206807,0.00008190424],"category_scores_gemma":[0.00019747527,0.00057467003,0.0008043627,0.00017097863,0.00023101158,0.000010714568,0.0001158518,0.00034121278,0.000010262631],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004408718,0.000060650356,0.00094877125,0.97467184,0.0010273913,0.000008298725,0.000024928371,0.0000010800019,0.000037300422,0.000016720445,0.0067173736,0.016441548],"study_design_scores_gemma":[0.0011281768,0.00022056786,0.0014088821,0.8767318,0.010087465,0.00006642845,0.00001995534,0.000033828313,0.000027838494,0.00017949875,0.10840627,0.0016893039],"about_ca_topic_score_codex":0.00045092523,"about_ca_topic_score_gemma":0.0005983632,"teacher_disagreement_score":0.1016889,"about_ca_system_score_codex":0.00013706961,"about_ca_system_score_gemma":0.0004355028,"threshold_uncertainty_score":0.99967045},"labels":[],"label_agreement":null},{"id":"W2891971040","doi":"10.1158/1055-9965.epi-18-0036","title":"Circulating Growth and Sex Hormone Levels and Breast Tissue Composition in Young Nulliparous Women","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","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":"Institute of Cancer Research","funders":"Medical Research Council; FP7 Information and Communication Technologies; University of Bristol; European Commission; King's College London; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Cancer Research UK; Wellcome Trust","keywords":"Sex hormone-binding globulin; Endocrinology; Internal medicine; Estrone; Hormone; Testosterone (patch); Prolactin; Medicine; Insulin-like growth factor; Body mass index; Androstenedione; Androgen; Growth factor; Receptor","score_opus":0.02779409461076349,"score_gpt":0.33229963433401905,"score_spread":0.30450553972325556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891971040","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":[0.9916658,0.0034093396,0.0020563258,0.0014771065,0.00013480171,0.00034663614,0.0000176943,0.000048808302,0.0008435076],"genre_scores_gemma":[0.9981673,0.00021437915,0.00097604835,0.00028171172,0.00018404331,0.00006575303,0.000039442995,0.000015810956,0.000055546476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984633,0.00023519594,0.00041410467,0.00041981644,0.00006876873,0.0003988402],"domain_scores_gemma":[0.99936885,0.00014238506,0.00016494677,0.00012314157,0.00004314645,0.00015754037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009726501,0.00017180263,0.00042293937,0.00022629541,0.00009828657,0.000014735852,0.00004176797,0.00013035283,0.000021280235],"category_scores_gemma":[0.00006951721,0.00016574629,0.000047026457,0.00024426545,0.00044081022,0.00025685036,0.00004281339,0.00012561069,0.0000019313368],"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":[0.0002391964,0.00006085733,0.8488414,0.000104933904,0.00018410195,0.000016465092,0.00042908918,4.3257418e-7,0.019032773,0.00015315063,0.00013511663,0.13080245],"study_design_scores_gemma":[0.0013332125,0.0002913148,0.9898383,0.0003562268,0.000067053224,0.0011416953,0.00018288809,0.0005370216,0.00033110895,0.005718958,0.00003480733,0.00016739452],"about_ca_topic_score_codex":0.00032526837,"about_ca_topic_score_gemma":0.00004048553,"teacher_disagreement_score":0.14099687,"about_ca_system_score_codex":0.00011615741,"about_ca_system_score_gemma":0.00003262057,"threshold_uncertainty_score":0.6758937},"labels":[],"label_agreement":null},{"id":"W2897981610","doi":"10.1158/1055-9965.epi-18-0079","title":"Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"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 Cancer Foundation; University of Alberta; Princess Margaret Cancer Centre","funders":"National Heart, Lung, and Blood Institute; Medical Research Council; National Cancer Institute; Seventh Framework Programme; Novo Nordisk Fonden; Cancer Research UK; Academy of Finland; University of Bristol; National Institute for Health and Care Research; National Institutes of Health; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; European Commission; Cancer Research Institute; Royal Marsden NHS Foundation Trust; National Cancer Research Institute; Wellcome Trust; Wellcome","keywords":"Prostate cancer; Medicine; Oncology; Cancer; Internal medicine","score_opus":0.03597330863433082,"score_gpt":0.35581697040119264,"score_spread":0.31984366176686185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897981610","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":[0.9638216,0.027854195,0.0007818417,0.0006697669,0.003880994,0.0027127173,0.00008896508,0.000027114278,0.00016283346],"genre_scores_gemma":[0.99147695,0.0021177533,0.0005518933,0.0002858518,0.003922942,0.0013681841,0.00008606377,0.000041414794,0.00014894316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952567,0.002183144,0.00096315605,0.0008066597,0.00018173402,0.000608589],"domain_scores_gemma":[0.99823076,0.00011626737,0.00066950335,0.00067635224,0.00022389602,0.000083236155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004037768,0.00033406037,0.00061261095,0.00019677106,0.00016808778,0.00001091542,0.00045257583,0.00027600658,0.00008224224],"category_scores_gemma":[0.00064265146,0.00026165668,0.0002632504,0.00057606684,0.00053237565,0.000018207187,0.00012879257,0.00019340402,0.0000031523446],"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":[0.0018045328,0.00040399306,0.5349047,0.00009748436,0.0018822866,7.09518e-7,0.0011465136,0.00009711818,0.33117488,0.00007991697,0.0093589,0.11904895],"study_design_scores_gemma":[0.0034849024,0.00095083856,0.937779,0.00020970937,0.00041067935,0.000015098102,0.0012393221,0.00027876187,0.00946914,0.00074024097,0.044885617,0.0005366763],"about_ca_topic_score_codex":0.0036322882,"about_ca_topic_score_gemma":0.0075679286,"teacher_disagreement_score":0.4028743,"about_ca_system_score_codex":0.00005347412,"about_ca_system_score_gemma":0.00029637656,"threshold_uncertainty_score":0.99998355},"labels":[],"label_agreement":null},{"id":"W2901319607","doi":"10.1158/1055-9965.epi-18-0667","title":"Low Tristetraprolin Expression Is Associated with Lethal Prostate Cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","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":"Genome British Columbia","funders":"National Cancer Institute; U.S. Department of Defense","keywords":"Tristetraprolin; Prostate cancer; Medicine; Prostatectomy; Enzalutamide; Cancer; Oncology; Internal medicine; Disease; Biomarker; Messenger RNA; Untranslated region; Gene; Biology","score_opus":0.0477378764694423,"score_gpt":0.3705388197485668,"score_spread":0.32280094327912445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901319607","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":[0.968376,0.017061353,0.00035904668,0.010703527,0.0009170871,0.0018238137,0.00015984208,0.00016080459,0.00043853125],"genre_scores_gemma":[0.9867169,0.0046548676,0.00087760953,0.0025897278,0.00045212032,0.0018696971,0.00028990002,0.0000618709,0.0024872532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712986,0.00045500632,0.000661694,0.000846493,0.0002085169,0.0006984202],"domain_scores_gemma":[0.9981076,0.00028914612,0.0005869562,0.00041492723,0.0003263462,0.0002750136],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00097072654,0.00037082465,0.00081172475,0.00014516314,0.00021024911,0.000010713593,0.00011314767,0.00031364989,0.00095476554],"category_scores_gemma":[0.00025045226,0.0002674654,0.00023293156,0.00035495422,0.0005157904,0.00015679705,0.000047021626,0.00023258994,0.000032786233],"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":[0.0037196893,0.00065284927,0.84626925,0.00016042849,0.0020473972,0.00005760475,0.00048706363,0.0000073040947,0.005424531,0.00002398777,0.06257529,0.07857463],"study_design_scores_gemma":[0.013659006,0.004917986,0.79240984,0.007668867,0.0014870273,0.00004706456,0.00014881519,0.00046179286,0.1627534,0.001985711,0.013665975,0.0007945195],"about_ca_topic_score_codex":0.00035665778,"about_ca_topic_score_gemma":0.00034229716,"teacher_disagreement_score":0.15732887,"about_ca_system_score_codex":0.0008009146,"about_ca_system_score_gemma":0.00044284403,"threshold_uncertainty_score":0.99997777},"labels":[],"label_agreement":null},{"id":"W2910555633","doi":"10.1158/1055-9965.epi-18-0825","title":"The Role of Access to a Regular Primary Care Physician in Mediating Immigration-Based Disparities in Colorectal Screening: Application of Multiple Mediation Methods","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Government of Canada","keywords":"Mediation; Immigration; Primary care; Medicine; Family medicine; Political science","score_opus":0.026386584990831116,"score_gpt":0.3677587761422253,"score_spread":0.34137219115139417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910555633","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":[0.9557758,0.005757559,0.03552237,0.0008445226,0.0002247717,0.0017167662,0.000013329185,0.000027792736,0.00011710055],"genre_scores_gemma":[0.98942393,0.00008951237,0.009271332,0.0001376053,0.0000624342,0.00077755295,0.00021609823,0.000015876512,0.0000056370504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760854,0.0008137168,0.000803,0.00036437096,0.00016267064,0.000247681],"domain_scores_gemma":[0.99732614,0.0015940405,0.00060474506,0.00024194518,0.0001786182,0.000054499807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021900933,0.0001472979,0.000536727,0.0002904307,0.000049999988,0.0000047252975,0.00014903881,0.00017949131,0.0000028810446],"category_scores_gemma":[0.0007276797,0.0001281162,0.00014076332,0.00065455603,0.00010057779,0.00013367384,0.00005037134,0.00017073004,6.067427e-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":[0.003034226,0.00003346769,0.69876283,0.00016448255,0.000043176526,8.540688e-8,0.00021106533,0.0018740736,0.044139605,0.00003518711,0.0000071903705,0.2516946],"study_design_scores_gemma":[0.0012373443,0.0004985001,0.8811171,0.00040020858,0.000042985088,3.8159047e-7,0.00063427817,0.05626951,0.058878448,0.0007048524,0.0001082443,0.000108149536],"about_ca_topic_score_codex":0.0038841555,"about_ca_topic_score_gemma":0.006235824,"teacher_disagreement_score":0.25158644,"about_ca_system_score_codex":0.0003920949,"about_ca_system_score_gemma":0.00019811834,"threshold_uncertainty_score":0.5871707},"labels":[],"label_agreement":null},{"id":"W2911452052","doi":"10.1158/1538-7755.disp17-b81","title":"Abstract B81: Changing fertility factors affecting breast cancer in the Bahamas","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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":"Women's College Hospital","funders":"","keywords":"Breast cancer; Medicine; Ovarian cancer; Menarche; Gynecology; Demography; Obstetrics; Ethnic group; Cancer; Internal medicine","score_opus":0.07539301588554574,"score_gpt":0.40512206766121556,"score_spread":0.3297290517756698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911452052","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":[0.9881641,0.00369652,0.00032254882,0.0051607806,0.0013852109,0.0007725162,0.000055343593,0.00007079398,0.00037215068],"genre_scores_gemma":[0.99750733,0.0005081159,0.00006967382,0.00089991343,0.0006903408,0.00013554636,0.000045525536,0.000027378921,0.00011618283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973624,0.00049514434,0.0006399751,0.00059593556,0.0001620685,0.0007444975],"domain_scores_gemma":[0.99841744,0.00057394576,0.00036158934,0.00041809515,0.00009784809,0.00013109029],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003126176,0.0002900295,0.0005863861,0.0002461742,0.00023694373,0.000012256193,0.00018628105,0.00027220062,0.0010990782],"category_scores_gemma":[0.00030479732,0.00019731151,0.0002938148,0.0005361254,0.00035119252,0.00016016373,0.00005387708,0.0003946689,0.00001852364],"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":[0.0005115953,0.00008110002,0.93778175,0.00009215245,0.00020711144,0.000004453577,0.0012166428,0.0000062704617,0.0012871755,0.0000147010105,0.0015854524,0.057211585],"study_design_scores_gemma":[0.00079028995,0.00010341557,0.99505794,0.0005379291,0.00013630814,0.000013731784,0.0010698525,0.00018443461,0.00042943624,0.000397638,0.0010886231,0.00019039739],"about_ca_topic_score_codex":0.005968046,"about_ca_topic_score_gemma":0.0054979743,"teacher_disagreement_score":0.057276182,"about_ca_system_score_codex":0.00055558764,"about_ca_system_score_gemma":0.00018644806,"threshold_uncertainty_score":0.99981403},"labels":[],"label_agreement":null},{"id":"W2911937558","doi":"10.1158/1055-9965.epi-18-1002","title":"A Comprehensive Analysis of Steroid Hormones and Progression of Localized High-Risk Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":16,"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 de l’Université de Montréal; Université Laval; Université de Sherbrooke; McGill University Health Centre; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Prostate Cancer Canada; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Medicine; Prostate cancer; Internal medicine; Oncology; Prostatectomy; Biochemical recurrence; Metabolome; Testosterone (patch); Hazard ratio; Proportional hazards model; Cancer; Dehydroepiandrosterone; Dehydroepiandrosterone sulfate; Metastasis; Hormone; Endocrinology; Androgen; Confidence interval","score_opus":0.04032777789435959,"score_gpt":0.4037452959308506,"score_spread":0.363417518036491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911937558","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":[0.93254346,0.06456372,0.00015627562,0.0010115339,0.00017854969,0.0013608804,0.000137219,0.00002104292,0.00002730026],"genre_scores_gemma":[0.961667,0.03586715,0.0012951514,0.00006334852,0.000026217702,0.00026725396,0.00025854455,0.0000181421,0.00053716137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975956,0.00061297265,0.0007776247,0.0004900591,0.00018511989,0.00033864178],"domain_scores_gemma":[0.9979918,0.00043615638,0.0008203191,0.00032528656,0.00029819505,0.00012826163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008230441,0.00020834724,0.0012313634,0.00043194133,0.000046676207,0.0000026736325,0.00007858421,0.00018856362,0.00021831745],"category_scores_gemma":[0.00010219181,0.00014866285,0.00027839802,0.00066742447,0.00044450987,0.000084652296,0.000079698024,0.00015275461,0.0000021847584],"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":[0.004632751,0.00012659853,0.8846908,0.00058552634,0.007069769,0.0000025654201,0.00018674684,0.00009130185,0.017657982,0.000026053249,0.00030403087,0.08462585],"study_design_scores_gemma":[0.0051288465,0.0011952074,0.97721136,0.0007900006,0.003963219,0.000002006414,0.00018474946,0.002573078,0.0074875043,0.0005826085,0.0007274942,0.00015394343],"about_ca_topic_score_codex":0.0019269099,"about_ca_topic_score_gemma":0.00014391482,"teacher_disagreement_score":0.09252051,"about_ca_system_score_codex":0.00013683064,"about_ca_system_score_gemma":0.00017497869,"threshold_uncertainty_score":0.6062295},"labels":[],"label_agreement":null},{"id":"W2913130829","doi":"10.1158/1538-7755.disp17-b31","title":"Abstract B31: Creating a mobile device-based educational animation for African American women with hereditary breast cancer risk","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Referral; Medicine; Genetic counseling; Breast cancer; Family medicine; Genetic testing; Family history; Health care; Nursing; Gerontology; Cancer; Internal medicine","score_opus":0.017228515670440557,"score_gpt":0.3354064660471133,"score_spread":0.3181779503766728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913130829","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":[0.98803276,0.0033320186,0.0052374518,0.0013061687,0.0003265922,0.0008129151,0.00080969,0.000026895625,0.000115522955],"genre_scores_gemma":[0.9863211,0.0004904164,0.0067398613,0.0006057054,0.0016575599,0.0030274214,0.0009995962,0.00003872343,0.00011963827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980818,0.00027792223,0.00043443,0.000639979,0.000092673545,0.00047318102],"domain_scores_gemma":[0.9983535,0.00016422366,0.00060099585,0.00030378558,0.00036556914,0.00021196117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071587175,0.00024314431,0.00029736717,0.00008370014,0.00027624075,0.00001311573,0.00015877273,0.00014086037,0.00025786835],"category_scores_gemma":[0.0001832605,0.00022879402,0.0001120238,0.00015812465,0.0005323427,0.000015359552,0.000026024587,0.000070453665,0.0000041780036],"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":[0.010625076,0.0007777315,0.81381243,0.00037972507,0.0013645238,9.649036e-7,0.00027098745,0.00086244615,0.044315305,0.000039802966,0.027350089,0.10020092],"study_design_scores_gemma":[0.0023251865,0.0017909079,0.97993934,0.00019123746,0.00023960862,0.000007467446,0.0006346484,0.0007803007,0.003175949,0.0016334992,0.008766511,0.0005153663],"about_ca_topic_score_codex":0.0010389789,"about_ca_topic_score_gemma":0.0016131207,"teacher_disagreement_score":0.16612689,"about_ca_system_score_codex":0.00020521868,"about_ca_system_score_gemma":0.0005709638,"threshold_uncertainty_score":0.93299496},"labels":[],"label_agreement":null},{"id":"W2913441455","doi":"10.1158/1055-9965.epi-18-0104","title":"Night Shift Work Increases Cancer Risk of Women—Letter","year":2019,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Sleep and Work-Related Fatigue","field":"Psychology","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":"Université de Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Medicine; Shift work; Epidemiology; Cancer; Night work; Gerontology; Demography; Environmental health; Internal medicine; Psychiatry","score_opus":0.03983682725409211,"score_gpt":0.350022165074333,"score_spread":0.3101853378202409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913441455","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22670549,0.12994921,0.00137591,0.6020359,0.031781625,0.0035333426,0.0012167755,0.00044271845,0.002959028],"genre_scores_gemma":[0.09303982,0.008849771,0.00074407907,0.8608951,0.014401758,0.0061966972,0.0027103901,0.00050906715,0.012653319],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9877055,0.006316844,0.0020062665,0.001736583,0.00029264472,0.0019421342],"domain_scores_gemma":[0.99117315,0.0039019953,0.0030162027,0.001579223,0.00014722494,0.00018223125],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0035954379,0.00095511833,0.0022369204,0.0006039092,0.00015473379,0.000013178032,0.00088496506,0.0044301664,0.014039992],"category_scores_gemma":[0.0005562925,0.0008621256,0.0009884881,0.0006634074,0.0006889985,0.0001344689,0.0001694809,0.0030742136,0.0006940548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047622074,0.0000828823,0.3411674,0.00007611715,0.005849741,0.000030515614,0.00027158816,0.000025009753,0.0000018922223,0.000038240836,0.63506067,0.016919734],"study_design_scores_gemma":[0.0025653536,0.00030048806,0.1967639,0.0032659427,0.002261136,0.00000414108,0.000056507095,0.000004234835,0.000015473894,0.0025855643,0.7907807,0.0013965087],"about_ca_topic_score_codex":0.007480656,"about_ca_topic_score_gemma":0.0002628285,"teacher_disagreement_score":0.2588592,"about_ca_system_score_codex":0.001075004,"about_ca_system_score_gemma":0.0002821992,"threshold_uncertainty_score":0.999383},"labels":[],"label_agreement":null},{"id":"W2913739853","doi":"10.1158/1538-7755.disp17-a36","title":"Abstract A36: Serum insulin-like growth factor (IGF)-I and IGF binding protein-3 in relation to terminal duct lobular unit involution in Caucasian and African American women: The Susan G. Komen Tissue Bank","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"McGill University","funders":"","keywords":"Insulin-like growth factor-binding protein; Medicine; Internal medicine; Involution (esoterism); Endocrinology; Insulin-like growth factor; Breast cancer; Confounding; Growth factor; Cancer; Biology; Receptor","score_opus":0.03811993823378173,"score_gpt":0.33154503830627463,"score_spread":0.2934251000724929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913739853","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":[0.98553586,0.00095445674,0.00008751518,0.01128204,0.00025431564,0.0016645994,0.00002574447,0.00004739419,0.00014807878],"genre_scores_gemma":[0.99735636,0.0006989361,0.00058043917,0.00052909355,0.00019488731,0.00035618574,0.00006107194,0.000038991515,0.00018404762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965228,0.0007566807,0.0009523813,0.0007810587,0.00017933408,0.0008077899],"domain_scores_gemma":[0.9984588,0.0002824909,0.00047978858,0.00033429713,0.0001073444,0.00033728383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021615357,0.00037612667,0.00073795224,0.00070952775,0.00020079293,0.000020941612,0.0001527864,0.0002841919,0.00007644574],"category_scores_gemma":[0.0005424034,0.00031125266,0.00006317339,0.0010117852,0.0006858789,0.00032811167,0.00011012308,0.00047924044,0.000015145996],"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":[0.0016225956,0.00013144394,0.9284453,0.00018184769,0.00016834946,0.00003428935,0.0033629925,0.0000013323588,0.022364995,0.00012545432,0.0006598355,0.04290159],"study_design_scores_gemma":[0.0013657605,0.0011926821,0.99059564,0.00039254958,0.00005023486,0.000032013657,0.0015040895,0.00010267708,0.00076273334,0.00092869165,0.0027611246,0.00031181998],"about_ca_topic_score_codex":0.002815296,"about_ca_topic_score_gemma":0.0017375313,"teacher_disagreement_score":0.062150348,"about_ca_system_score_codex":0.00081762753,"about_ca_system_score_gemma":0.00021549682,"threshold_uncertainty_score":0.99993396},"labels":[],"label_agreement":null},{"id":"W2913991842","doi":"10.1158/1055-9965.epi-18-0826","title":"Genetic Variation in Steroid and Xenobiotic Metabolizing Pathways and Enterolactone Excretion Before and After Flaxseed Intervention in African American and European American Women","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Phytoestrogen effects and research","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 Toronto","funders":"National Cancer Institute","keywords":"Enterolactone; Excretion; Single-nucleotide polymorphism; Internal medicine; Endocrinology; Biology; Physiology; Medicine; Estrogen; Genotype; Genetics; Phytoestrogens; Gene","score_opus":0.01594360434407216,"score_gpt":0.3123451757427483,"score_spread":0.2964015713986761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913991842","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":[0.9934295,0.0048581404,0.00026736566,0.0005439936,0.000075747725,0.0007814639,0.000007006718,0.000016854548,0.00001994357],"genre_scores_gemma":[0.99690366,0.0020401538,0.000679074,0.00014165277,0.00004654279,0.000114864066,0.000020048192,0.000024156903,0.000029841129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704254,0.0014203989,0.00048086405,0.0005643885,0.0000843016,0.00040752816],"domain_scores_gemma":[0.9992219,0.00015150115,0.0002713786,0.00015766661,0.000027910006,0.00016959298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020730402,0.00019764295,0.0006030112,0.00036846884,0.00003451531,0.000017047216,0.000040132945,0.000067613604,0.000014663249],"category_scores_gemma":[0.00012931721,0.00017147147,0.00004416247,0.00024833038,0.0004126857,0.00013639677,0.00010822928,0.00021409462,0.0000014280248],"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":[0.0008231178,0.00006694895,0.8432413,0.0002184866,0.00010421003,0.000010046105,0.000992704,0.000001506798,0.015574207,0.000008139654,0.0000016612909,0.13895771],"study_design_scores_gemma":[0.0021559037,0.0013312881,0.99314517,0.0004190424,0.00006174203,0.000029098917,0.00064906344,0.0016409802,0.000037065285,0.00036056648,0.000038297276,0.00013176554],"about_ca_topic_score_codex":0.0009648644,"about_ca_topic_score_gemma":0.000879579,"teacher_disagreement_score":0.14990392,"about_ca_system_score_codex":0.00018167848,"about_ca_system_score_gemma":0.00002197431,"threshold_uncertainty_score":0.6992404},"labels":[],"label_agreement":null},{"id":"W2914197968","doi":"10.1158/1055-9965.epi-18-0356","title":"Elevated Platelet Count Appears to Be Causally Associated with Increased Risk of Lung Cancer: A Mendelian Randomization Analysis","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":33,"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; Princess Margaret Cancer Centre; Public Health Ontario; BC Cancer Agency","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Cancer Institute; Cancer Research UK; National Institutes of Health; National Institute on Drug Abuse; National Natural Science Foundation of China; National Human Genome Research Institute; World Health Organization","keywords":"Mendelian randomization; Lung cancer; Medicine; Randomization; Cancer; Internal medicine; Oncology; Platelet; Clinical trial; Biology; Genetics; Genotype; Gene","score_opus":0.019638087198886926,"score_gpt":0.3274911370273234,"score_spread":0.3078530498284365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914197968","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":[0.98690635,0.0017606512,0.0025605657,0.0050764764,0.0002349673,0.0029817375,0.0002670964,0.00014483038,0.000067318324],"genre_scores_gemma":[0.9921733,0.0006142269,0.0012437174,0.003690319,0.00006300141,0.0008010626,0.0011941737,0.000060288858,0.0001599213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947669,0.0020055494,0.0012923643,0.0008671203,0.0004091378,0.00065893895],"domain_scores_gemma":[0.9960475,0.0008657525,0.0014999994,0.00062754983,0.00064805645,0.00031114614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042096977,0.0004201651,0.0016287597,0.0008071125,0.00011365065,0.000009746927,0.00021053302,0.00048664285,0.0007640815],"category_scores_gemma":[0.0015324355,0.00036072425,0.00053787255,0.0020165034,0.00020040541,0.00014646215,0.0000618976,0.00029680063,0.00000839014],"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":[0.010588877,0.00014674499,0.95103526,0.0002097771,0.026349803,0.000014296202,0.00010825268,0.0016075823,0.0032812671,0.000018444956,0.0056417496,0.000997929],"study_design_scores_gemma":[0.013647563,0.00043028133,0.94017047,0.000994494,0.014493708,0.0000039580777,0.00007777202,0.02661036,0.0024964446,0.00010443713,0.00046648103,0.0005040561],"about_ca_topic_score_codex":0.00202,"about_ca_topic_score_gemma":0.0011717489,"teacher_disagreement_score":0.025002778,"about_ca_system_score_codex":0.0009225274,"about_ca_system_score_gemma":0.00060037785,"threshold_uncertainty_score":0.9998845},"labels":[],"label_agreement":null},{"id":"W2918882770","doi":"10.1158/1055-9965.epi-18-0586","title":"A Study of Pre-Analytical Variables and Optimization of Extraction Method for Circulating Tumor DNA Measurements by Digital Droplet PCR","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","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":"McGill University Health Centre; McGill University and Génome Québec Innovation Centre; Jewish General Hospital; McGill University","funders":"École des Mines de Nantes","keywords":"Digital polymerase chain reaction; Circulating tumor DNA; DNA extraction; Circulating tumor cell; Centrifugation; Blood collection; Medicine; Oncology; Cancer; Computational biology; Polymerase chain reaction; Biology; Internal medicine; Chromatography; Gene; Chemistry; Genetics; Metastasis; Emergency medicine","score_opus":0.048786941026000646,"score_gpt":0.369963069031153,"score_spread":0.3211761280051524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918882770","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":[0.7340016,0.0012954051,0.2634747,0.000055751625,0.00018551758,0.00085136126,0.000084936706,0.000004221551,0.00004652303],"genre_scores_gemma":[0.9861646,0.00010773958,0.013146048,0.000042169577,0.00005309432,0.0001134598,0.000284519,0.00001921806,0.00006909774],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851936,0.00021859225,0.00059156725,0.0004146661,0.0000773445,0.00017847566],"domain_scores_gemma":[0.9987631,0.00027073253,0.0005489254,0.00021344933,0.00015312411,0.000050674058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011758368,0.00013813225,0.00036950232,0.000052470707,0.000036042737,0.000007211711,0.000082342034,0.00013187755,0.000015680895],"category_scores_gemma":[0.00073965633,0.0001409241,0.000104904546,0.00007022345,0.00005173134,0.000013902757,0.00005639199,0.000041618914,1.6014182e-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":[0.0019202947,0.0008652497,0.5374819,0.0003573836,0.002095487,3.81135e-7,0.00013841277,0.053058334,0.38521308,0.00015508344,0.002627676,0.016086727],"study_design_scores_gemma":[0.03436251,0.019225705,0.24780896,0.0011372231,0.0050893705,0.00008431953,0.0030811972,0.50137275,0.17055617,0.007884975,0.0063918475,0.003004931],"about_ca_topic_score_codex":0.0001269764,"about_ca_topic_score_gemma":0.00004013586,"teacher_disagreement_score":0.44831446,"about_ca_system_score_codex":0.000042515097,"about_ca_system_score_gemma":0.00008199157,"threshold_uncertainty_score":0.5746718},"labels":[],"label_agreement":null},{"id":"W2921061070","doi":"10.1158/1055-9965.epi-18-0904","title":"Finasteride Use and Risk of Male Breast Cancer: A Case–Control Study Using Individual-Level Registry Data from Denmark, Finland, and Sweden","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Male Breast Health Studies","field":"Medicine","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":"Institute of Health Economics","funders":"Merck Sharp and Dohme","keywords":"Medicine; Breast cancer; Finasteride; Cancer registry; Case-control study; Demography; Gynecology; Epidemiology; Cancer; Oncology; Environmental health; Gerontology; Internal medicine","score_opus":0.19037794041769182,"score_gpt":0.4073085108768429,"score_spread":0.21693057045915107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921061070","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":[0.970254,0.019836416,0.00039772087,0.0008247808,0.000336727,0.001688934,0.0066366717,0.0000138258265,0.000010916999],"genre_scores_gemma":[0.99199885,0.004115225,0.0028596772,0.00022944935,0.00018353052,0.000095464144,0.00010617229,0.000028436938,0.00038319943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962936,0.0013083719,0.00089536124,0.00092537486,0.00014975212,0.000427523],"domain_scores_gemma":[0.9962929,0.001507397,0.0009807452,0.0008935029,0.00013286895,0.0001925747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026393891,0.0003034757,0.0011465192,0.00013792198,0.00013945825,0.000012366907,0.00016642147,0.00023002728,0.0004292427],"category_scores_gemma":[0.00067584787,0.00026454445,0.00007338026,0.00013692593,0.000276297,0.00027797892,0.0004008597,0.00027175926,0.000004785194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018102826,0.00011232633,0.97580373,0.00037436388,0.0025605839,0.00008297308,0.00019904657,0.000007941544,0.00021611738,0.0000011298632,0.0012706416,0.017560877],"study_design_scores_gemma":[0.005085049,0.0002188843,0.98598105,0.0008017594,0.0031768742,0.0012688416,0.00065146375,0.0024512995,0.0000041837898,0.00006213057,0.000093913215,0.00020453514],"about_ca_topic_score_codex":0.03064503,"about_ca_topic_score_gemma":0.007744988,"teacher_disagreement_score":0.022900041,"about_ca_system_score_codex":0.000113231916,"about_ca_system_score_gemma":0.0002467255,"threshold_uncertainty_score":0.9999807},"labels":[],"label_agreement":null},{"id":"W2921808840","doi":"10.1158/1055-9965.epi-18-1112","title":"Shift Work Patterns, Chronotype, and Epithelial Ovarian Cancer Risk","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":47,"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; Jewish General Hospital; McGill University Health Centre; Université de Montréal; Centre Hospitalier de l’Université de Montréal; Cancer Care Ontario; Queen's University","funders":"Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Chronotype; Shift work; Evening; Logistic regression; Morning; Demography; Medicine; Confidence interval; Odds ratio; Oncology; Case-control study; Epithelial ovarian cancer; Internal medicine; Night work; Ovarian cancer; Cancer; Psychiatry","score_opus":0.03358952520173813,"score_gpt":0.3179469755413209,"score_spread":0.28435745033958276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921808840","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":[0.9827102,0.0092746345,0.0013620325,0.0024649599,0.0028668207,0.0006699325,0.0001514972,0.00009293584,0.0004070334],"genre_scores_gemma":[0.9899736,0.006828691,0.00021874494,0.0011636912,0.00038684683,0.00019320441,0.000015251887,0.00003426174,0.0011856834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968065,0.0010746993,0.00049386424,0.0009218022,0.00010495602,0.0005981468],"domain_scores_gemma":[0.99825597,0.00070158485,0.00043225524,0.000394819,0.000019852157,0.0001955352],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011583144,0.00026235438,0.00046114367,0.00012236208,0.00016614307,0.00001771253,0.00019555216,0.00029200167,0.0012102098],"category_scores_gemma":[0.0004095478,0.00024423216,0.00015786107,0.00023467783,0.00021484982,0.00020591386,0.0000952456,0.00031309316,0.00020590065],"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":[0.00021158275,0.000025019062,0.93184686,0.000045524277,0.000070045215,0.0000041622516,0.00010630798,0.00003861514,0.002909773,0.0024073299,0.0010008846,0.061333884],"study_design_scores_gemma":[0.0011424376,0.00007403596,0.9720794,0.00025164243,0.00008613405,0.0000064518113,0.000013845783,0.00018447328,0.005620296,0.0033239727,0.016899975,0.00031735384],"about_ca_topic_score_codex":0.0008860523,"about_ca_topic_score_gemma":0.00025859833,"teacher_disagreement_score":0.06101653,"about_ca_system_score_codex":0.00016230848,"about_ca_system_score_gemma":0.00012640399,"threshold_uncertainty_score":0.9997028},"labels":[],"label_agreement":null},{"id":"W2922140746","doi":"10.1158/1055-9965.epi-18-1083","title":"Intratumoral Sterol-27-Hydroxylase (<i>CYP27A1</i>) Expression in Relation to Cholesterol Synthesis and Vitamin D Signaling and Its Association with Lethal Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Dana-Farber/Harvard Cancer Center; Queen's University Belfast; National Cancer Institute; National Institutes of Health; Prostate Cancer Foundation; Queen's University; National Heart, Lung, and Blood Institute; U.S. Department of Defense","keywords":"CYP27A1; Prostate cancer; Calcitriol receptor; CYP24A1; Vitamin D and neurology; Internal medicine; Endocrinology; Cholesterol; Cerebrotendinous Xanthomatosis; Medicine; Cancer research; Liver X receptor; Cancer; Oncology; Biology; Biochemistry; Nuclear receptor; Transcription factor; Gene","score_opus":0.012596728548315232,"score_gpt":0.28161054474164016,"score_spread":0.26901381619332493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922140746","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":[0.9885155,0.00745345,0.00031568634,0.0010808135,0.00168164,0.0008587574,0.0000482409,0.000015166053,0.000030764226],"genre_scores_gemma":[0.9937633,0.0028180673,0.00070235424,0.00043171638,0.0009312748,0.0004690965,0.000083234896,0.00003311097,0.0007678013],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99769825,0.000632102,0.00044729604,0.0007050309,0.000112888934,0.00040443518],"domain_scores_gemma":[0.9990964,0.000135004,0.0003667683,0.00018657441,0.00007737973,0.00013786151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014244671,0.00024723943,0.0004203864,0.00012618594,0.000067528505,0.00001919631,0.00008550383,0.0003186066,0.00002491265],"category_scores_gemma":[0.00025556632,0.00022657099,0.00005562601,0.00012844359,0.00004673914,0.00004706349,0.000081732476,0.00016429467,0.0000037147433],"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":[0.0008621058,0.000029309296,0.47216102,0.00008743123,0.0001064007,1.7980611e-7,0.00016591091,0.0004226829,0.51680034,0.000009534954,0.0013673952,0.007987691],"study_design_scores_gemma":[0.004459959,0.0006746407,0.8387267,0.0014637385,0.0002423893,0.000015382646,0.00024987425,0.0008329113,0.13444106,0.00027117008,0.017779075,0.0008431144],"about_ca_topic_score_codex":0.00019918123,"about_ca_topic_score_gemma":0.000595565,"teacher_disagreement_score":0.38235927,"about_ca_system_score_codex":0.00014325409,"about_ca_system_score_gemma":0.00009219816,"threshold_uncertainty_score":0.9239297},"labels":[],"label_agreement":null},{"id":"W2922258334","doi":"10.1158/1055-9965.epi-19-0114","title":"Lack of Association between Human Papillomavirus Types 6 and 11 Genetic Variants and Cervical Abnormalities: The Ludwig–McGill Cohort Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"McGill University","funders":"Canadian Institutes of Health Research; National Cancer Institute; Ministério da Ciência, Tecnologia e Inovação; Fundação de Amparo à Pesquisa do Estado de São Paulo; Government of Canada","keywords":"Ascus (bryozoa); Odds ratio; Medicine; Cervical intraepithelial neoplasia; Genital warts; Cervical cancer; Recurrent Respiratory Papillomatosis; Confidence interval; Cohort; Gynecology; Oncology; HPV infection; Genotype; Internal medicine; Obstetrics; Human papillomavirus; Cancer; Biology; Genetics; Gene","score_opus":0.09271553566639272,"score_gpt":0.42066941441219097,"score_spread":0.32795387874579823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922258334","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":[0.9924956,0.003370305,0.000019255647,0.0014733506,0.00013634392,0.0013788445,0.00003748724,0.000019543386,0.0010692435],"genre_scores_gemma":[0.9970979,0.0012252026,0.00005356185,0.00030112758,0.00014020638,0.000106638625,0.000041126794,0.000015868314,0.0010183397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974962,0.00095193816,0.0005858729,0.00041178096,0.00022530886,0.00032889022],"domain_scores_gemma":[0.99831766,0.00086618925,0.00028421413,0.00025508142,0.00015471899,0.0001221231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031203134,0.00015261874,0.00065799366,0.00008051333,0.00013055786,0.0000063946904,0.00009347383,0.00020872081,0.0008594501],"category_scores_gemma":[0.0003163419,0.00011040174,0.0000897629,0.00014649284,0.00017218826,0.00007233591,0.000116605646,0.00021435495,0.000008150082],"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":[0.00016294219,0.00006708563,0.9881235,0.00018654691,0.0008359388,0.0000012010769,0.00010593059,7.03143e-7,0.00014517945,0.0001308979,0.00042990915,0.009810212],"study_design_scores_gemma":[0.0016366594,0.0005595592,0.9941039,0.00005163573,0.0005505045,0.0000031474253,0.0001612587,0.000085103085,0.00003802406,0.0017905086,0.00091614935,0.000103559796],"about_ca_topic_score_codex":0.002487879,"about_ca_topic_score_gemma":0.00069653045,"teacher_disagreement_score":0.009706653,"about_ca_system_score_codex":0.0001999794,"about_ca_system_score_gemma":0.000060372102,"threshold_uncertainty_score":0.9410376},"labels":[],"label_agreement":null},{"id":"W2934861714","doi":"10.1158/1055-9965.epi-18-0833","title":"Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomic variations and chromosomal abnormalities","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":"Coalition for Research in Women's Health","funders":"National Cancer Institute; National Institutes of Health; Mayo Clinic","keywords":"Copy-number variation; Variation (astronomy); Ovarian cancer; Biology; Epithelial ovarian cancer; Genetics; Genome; Structural variation; Computational biology; Cancer; Evolutionary biology; Oncology; Gene; Medicine","score_opus":0.013261704928242907,"score_gpt":0.2976243183565592,"score_spread":0.2843626134283163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934861714","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":[0.99133074,0.0023502235,0.004732131,0.00034045684,0.00036303047,0.00030842598,0.00034193508,0.000010504061,0.00022255795],"genre_scores_gemma":[0.9937579,0.0033620524,0.0011742008,0.00017688345,0.00011675649,0.000093111536,0.00061728485,0.000016216953,0.0006855954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980068,0.0006133706,0.00058343523,0.00046450814,0.00006798399,0.0002638704],"domain_scores_gemma":[0.9987291,0.00013205272,0.0006196537,0.00034616716,0.000102004116,0.00007101574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063559,0.00018403563,0.0004999315,0.000114166185,0.00008927779,0.0000074078234,0.0001379106,0.00027178644,0.00063030166],"category_scores_gemma":[0.00010434035,0.00017900244,0.00023910955,0.00023430247,0.00011301724,0.000012984277,0.000089641784,0.000089688496,0.000009142856],"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":[0.00018988865,0.000042417472,0.9721617,0.000032964002,0.0031759972,1.6207409e-7,0.0001270828,0.0013657674,0.021316016,0.00023611712,0.00014073298,0.0012111265],"study_design_scores_gemma":[0.0006602348,0.000101412,0.99073195,0.000021186332,0.0012186733,0.0000014707879,0.000060559207,0.0007336887,0.0024965978,0.0013750953,0.00240201,0.00019709095],"about_ca_topic_score_codex":0.0026530756,"about_ca_topic_score_gemma":0.0010500168,"teacher_disagreement_score":0.018819418,"about_ca_system_score_codex":0.000060400776,"about_ca_system_score_gemma":0.00009940702,"threshold_uncertainty_score":0.7299508},"labels":[],"label_agreement":null},{"id":"W2940941194","doi":"10.1158/1055-9965.epi-18-1338","title":"Predictive Value of HPV Testing in Self-collected and Clinician-Collected Samples Compared with Cytology in Detecting High-grade Cervical Lesions","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Medicine; Cytology; Cervical intraepithelial neoplasia; Colposcopy; Predictive value; Gynecology; Cervical screening; Cervical cancer; Confidence interval; Human papillomavirus; Cytopathology; Obstetrics; Positive predicative value; Biopsy; Cervical cancer screening; Internal medicine; Cancer; Pathology","score_opus":0.0894671074484993,"score_gpt":0.39003110081136755,"score_spread":0.30056399336286826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940941194","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":[0.9935434,0.002343482,0.0004787492,0.0010430998,0.00014497244,0.0016397749,0.000020011736,0.00006850618,0.0007180299],"genre_scores_gemma":[0.99146885,0.00030574243,0.007619947,0.00017359333,0.00006104653,0.00023742356,0.00005546083,0.000027895017,0.000050067476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958526,0.0015301966,0.0010957216,0.00071632996,0.00017790805,0.00062725006],"domain_scores_gemma":[0.9946073,0.0043162047,0.00038572765,0.00027883545,0.00024237625,0.00016954835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019417363,0.00024272654,0.001246107,0.00055859034,0.000078251556,0.0000043560867,0.00013100836,0.00038557226,0.0004176125],"category_scores_gemma":[0.002193873,0.00020739908,0.00009214043,0.0015146746,0.00028708746,0.00007831333,0.00010692278,0.0006199088,0.0000024965366],"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":[0.004042509,0.0002728927,0.9769641,0.00039104334,0.0002918156,0.000012571078,0.00024301019,0.00026809954,0.0010352181,0.000083908155,0.00007509379,0.016319728],"study_design_scores_gemma":[0.006858791,0.0014006967,0.96896887,0.00040404088,0.00013959326,0.000027003454,0.00027699705,0.019561592,0.0003929558,0.0017610682,0.00003504294,0.00017334629],"about_ca_topic_score_codex":0.005930557,"about_ca_topic_score_gemma":0.011294255,"teacher_disagreement_score":0.019293493,"about_ca_system_score_codex":0.0004972788,"about_ca_system_score_gemma":0.0006414129,"threshold_uncertainty_score":0.8965268},"labels":[],"label_agreement":null},{"id":"W2941309982","doi":"10.1158/1055-9965.epi-18-1235","title":"Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":67,"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","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; Ministerstvo Zdravotnictví Ceské Republiky; Wellcome Trust; World Health Organization; National Health and Medical Research Council; Mayo Clinic","keywords":"Heritability; Genome-wide association study; Pancreatic cancer; Linkage disequilibrium; Genetic architecture; Genetic association; Biology; Genetics; Minor allele frequency; Missing heritability problem; Cancer; Allele; Allele frequency; Phenotype; Gene; Genotype; Single-nucleotide polymorphism; Haplotype","score_opus":0.050012917219810646,"score_gpt":0.4136387504123865,"score_spread":0.36362583319257585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941309982","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":[0.9842965,0.012684914,0.00049228955,0.0006893427,0.000096429714,0.0015356079,0.0000307167,0.000014537723,0.0001596581],"genre_scores_gemma":[0.9956586,0.0019102634,0.0017695702,0.00006995583,0.000029000592,0.00024615283,0.00002512066,0.000011798129,0.0002795343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969351,0.0011901809,0.0008940681,0.0005019048,0.00016313918,0.0003155796],"domain_scores_gemma":[0.99765134,0.0010643603,0.00047951375,0.00050919683,0.00016685926,0.0001287301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017513245,0.00017737504,0.0018512312,0.000354597,0.000033450433,0.0000012346392,0.00010727163,0.00019493401,0.00053379923],"category_scores_gemma":[0.00051228754,0.00014087906,0.00027907625,0.0006545526,0.00042360128,0.00002875378,0.00007054143,0.00017760479,0.0000017747896],"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":[0.00103653,0.00035602067,0.9689016,0.00045110943,0.009096159,0.000002880423,0.00035114613,0.00007468396,0.002654071,0.000015732378,0.000043578406,0.017016498],"study_design_scores_gemma":[0.0016979579,0.001188951,0.9859847,0.00019654969,0.007855161,0.0000048482134,0.00034412017,0.0018506688,0.0000619638,0.0006858895,0.000031254367,0.00009797001],"about_ca_topic_score_codex":0.002984611,"about_ca_topic_score_gemma":0.0012555262,"teacher_disagreement_score":0.017083075,"about_ca_system_score_codex":0.00012493301,"about_ca_system_score_gemma":0.00028307692,"threshold_uncertainty_score":0.5844727},"labels":[],"label_agreement":null},{"id":"W2946387699","doi":"10.1158/1055-9965.epi-18-1111","title":"Global Increasing Incidence of Young-Onset Colorectal Cancer Across 5 Continents: A Joinpoint Regression Analysis of 1,922,167 Cases","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":152,"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":"Analytical Center for the Government of the Russian Federation","keywords":"Colorectal cancer; Incidence (geometry); Demography; Medicine; China; Cancer; Cancer registry; Young adult; Population; Gerontology; Geography; Environmental health; Internal medicine","score_opus":0.03879389103605733,"score_gpt":0.39845153930229016,"score_spread":0.3596576482662328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946387699","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":[0.988029,0.0083189225,0.0011503815,0.0004672468,0.0009115144,0.00068792986,0.00026332744,0.00006316828,0.00010849411],"genre_scores_gemma":[0.9975336,0.0009346168,0.00086665794,0.00012271926,0.0000815668,0.00014052444,0.00016688702,0.000017501188,0.00013588968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99642915,0.00092128594,0.001205667,0.0006791151,0.00028608087,0.00047871956],"domain_scores_gemma":[0.9968596,0.0007289351,0.0014094557,0.0004065699,0.0004335169,0.00016193173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025379946,0.00029673876,0.0015059635,0.0002992326,0.00009179782,0.0000058427995,0.00015415357,0.00035352953,0.00031783298],"category_scores_gemma":[0.0016532991,0.00025526615,0.00068109843,0.0015679568,0.00035930105,0.00016579883,0.00013106054,0.00018906992,0.000003255039],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016608741,0.00010369792,0.9579345,0.00020054932,0.002754423,0.000007686384,0.00014632828,0.0002635924,0.009302592,0.000010672351,0.00048592864,0.01218131],"study_design_scores_gemma":[0.0016563386,0.001368503,0.98299146,0.0014140082,0.0021968277,0.00010461021,0.000271008,0.0048630796,0.004698522,0.00014693482,0.00007558801,0.00021315082],"about_ca_topic_score_codex":0.029502027,"about_ca_topic_score_gemma":0.012850911,"teacher_disagreement_score":0.025056949,"about_ca_system_score_codex":0.0006925544,"about_ca_system_score_gemma":0.0003267995,"threshold_uncertainty_score":0.99999},"labels":[],"label_agreement":null},{"id":"W2947562522","doi":"10.1158/1055-9965.epi-18-1291","title":"Urinary Metabolomics to Identify a Unique Biomarker Panel for Detecting Colorectal Cancer: A Multicenter Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolomics and Mass Spectrometry Studies","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":true,"ca_institutions":"University of Alberta; The Metabolomics Innovation Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Institutes of Health; Mitacs","keywords":"Colorectal cancer; Biomarker; Urinary system; Metabolomics; Medicine; Multicenter study; Oncology; Cancer; Internal medicine; Bioinformatics; Biology; Randomized controlled trial; Genetics","score_opus":0.06183883944335727,"score_gpt":0.3924476562637359,"score_spread":0.3306088168203786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947562522","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":[0.9785446,0.008666783,0.0062772515,0.0008555942,0.0020104533,0.003438238,0.0001072139,0.00004049247,0.00005935263],"genre_scores_gemma":[0.9896029,0.0015242929,0.0046139923,0.0005781008,0.00028652386,0.0024609366,0.00012109535,0.000064158,0.00074796984],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964543,0.00071957486,0.0007960489,0.0011736911,0.000108160624,0.00074824615],"domain_scores_gemma":[0.9984281,0.00024276404,0.0004600946,0.00047761813,0.00021703313,0.00017436255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002459201,0.0004141469,0.0007833245,0.00022263033,0.00020430933,0.000019772113,0.00036452062,0.00030960643,0.00008432114],"category_scores_gemma":[0.00071135175,0.00039342098,0.00040347417,0.00027951188,0.00009233376,0.000016876918,0.00036296,0.00015247217,0.000016172004],"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":[0.0023352006,0.0003435297,0.44281057,0.000080176214,0.0023173303,0.0000016799594,0.0001302659,0.00006591398,0.5387313,0.000047789672,0.0027810314,0.010355217],"study_design_scores_gemma":[0.005683262,0.0030645549,0.90069896,0.00013560745,0.00077530317,0.00001152754,0.0012933484,0.00097420195,0.055521406,0.0008011366,0.02995076,0.0010899027],"about_ca_topic_score_codex":0.00030578583,"about_ca_topic_score_gemma":0.00067177624,"teacher_disagreement_score":0.4832099,"about_ca_system_score_codex":0.00013814642,"about_ca_system_score_gemma":0.00013160259,"threshold_uncertainty_score":0.99985176},"labels":[],"label_agreement":null},{"id":"W2948395674","doi":"10.1158/1055-9965.epi-19-0179","title":"Attitudes toward Precision Treatment of Smoking in the Southern Community Cohort Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","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":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Cancer Institute; National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality; U.S. Department of Veterans Affairs; American Association for Cancer Research","keywords":"Cohort; Environmental health; Medicine; Environmental science; Psychology; Internal medicine","score_opus":0.13783524387224413,"score_gpt":0.4312927258054012,"score_spread":0.293457481933157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948395674","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":[0.9963454,0.00072695356,0.00014628407,0.00036259694,0.00031444148,0.0019217978,0.0000057934603,0.000021214575,0.0001555412],"genre_scores_gemma":[0.9991547,0.00015350904,0.000056743436,0.0000737683,0.000037724494,0.00028884702,0.0000811831,0.00001128992,0.00014225724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966505,0.0022150902,0.00053726276,0.0002433728,0.00016482962,0.00018893635],"domain_scores_gemma":[0.99845827,0.0006614348,0.00028464687,0.0005090887,0.000056982437,0.0000295574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041821,0.00014417864,0.0005035667,0.00011562859,0.00006655093,0.000003517608,0.00013507943,0.00014489026,0.00016454051],"category_scores_gemma":[0.0001443396,0.000094027266,0.00015420567,0.00017915327,0.000080186845,0.00005026596,0.000025697336,0.00018641757,0.000004300379],"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":[0.0003155475,0.001136438,0.97796476,0.00004003812,0.0002745745,0.0000015133365,0.003041187,0.00001587333,0.0002176253,0.000012528018,0.00005074486,0.016929196],"study_design_scores_gemma":[0.0019278168,0.0012479105,0.99177957,0.00020601045,0.00038100118,0.000004480605,0.0037701651,0.000027594904,0.00010233489,0.00042123813,0.000056765726,0.000075139425],"about_ca_topic_score_codex":0.004464418,"about_ca_topic_score_gemma":0.0005721597,"teacher_disagreement_score":0.016854057,"about_ca_system_score_codex":0.00032383692,"about_ca_system_score_gemma":0.00005924499,"threshold_uncertainty_score":0.67488945},"labels":[],"label_agreement":null},{"id":"W2948409259","doi":"10.1158/1055-9965.epi-19-0215","title":"Burden of Cancer Mortality in the Canadian Armed Forces, 1976–2012: A Retrospective Cohort Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Veterans Affairs Canada; Department of National Defence","funders":"","keywords":"Medicine; Cancer; Population; Epidemiology; Cohort; Military personnel; Internal medicine; Environmental health","score_opus":0.1100756666053702,"score_gpt":0.5073746397148875,"score_spread":0.3972989731095173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948409259","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":[0.9847778,0.0026859562,0.000014154498,0.0029263364,0.0017605129,0.004974514,0.00012430424,0.000017710201,0.0027187115],"genre_scores_gemma":[0.9942954,0.000651566,0.00004853566,0.0013123644,0.00029654798,0.0022007648,0.00011474598,0.0000149633215,0.0010650855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99415284,0.003159364,0.0011728068,0.00048567166,0.0002518262,0.0007774938],"domain_scores_gemma":[0.9974011,0.000918942,0.0007803015,0.0004934087,0.00023479579,0.0001714069],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009224712,0.0001939855,0.0006645347,0.0002104015,0.00042580068,0.0000022299705,0.000318899,0.00033720554,0.0016398861],"category_scores_gemma":[0.00035826224,0.00014562062,0.000105277584,0.00045298765,0.00013446347,0.00017248088,0.000041462714,0.00064855913,0.00006337635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020267822,0.000047221158,0.99181026,0.00018204286,0.00018395862,8.3315507e-7,0.0013930259,0.000076145276,0.000005538354,0.00042616957,0.0045670965,0.0011050423],"study_design_scores_gemma":[0.0010337011,0.000159897,0.9911387,0.0002906589,0.00007647568,2.6716597e-7,0.0010369808,0.00061917375,0.0000010225399,0.002086889,0.003422308,0.00013392846],"about_ca_topic_score_codex":0.8027942,"about_ca_topic_score_gemma":0.94723284,"teacher_disagreement_score":0.14443865,"about_ca_system_score_codex":0.0015367747,"about_ca_system_score_gemma":0.0021959082,"threshold_uncertainty_score":0.99927276},"labels":[],"label_agreement":null},{"id":"W2952974363","doi":"10.1158/1055-9965.epi-19-0107","title":"Statin Use and Chronic Lymphocytic Leukemia Incidence: A Nested Case–Control Study in Manitoba, Canada","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"CancerCare Manitoba; University of Victoria; Research Institute in Oncology and Hematology; University of Manitoba; Manitoba Health","funders":"Research Manitoba","keywords":"Medicine; Nested case-control study; Potency; Statin; Confounding; Odds ratio; Internal medicine; Confidence interval; Chronic lymphocytic leukemia; Incidence (geometry); Lovastatin; Leukemia; Pharmacology; Cholesterol; Chemistry","score_opus":0.023784067631095026,"score_gpt":0.29746699240090885,"score_spread":0.2736829247698138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952974363","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":[0.9781656,0.015928037,0.00024866755,0.00009562044,0.0040952656,0.0013617316,0.000077407014,0.000013475179,0.000014176592],"genre_scores_gemma":[0.99580044,0.0013309723,0.00013361775,0.000530934,0.001344445,0.00030481073,0.00007726331,0.000028888393,0.00044865502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968889,0.0010908075,0.00063543965,0.0007604779,0.00010215399,0.0005222441],"domain_scores_gemma":[0.998791,0.00024362204,0.00030101574,0.00044068758,0.00008379916,0.0001399075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013268626,0.00028256731,0.00053795986,0.00009719703,0.00007794757,0.0000151596805,0.00015186233,0.00023474902,0.000055739507],"category_scores_gemma":[0.00036805557,0.00028171096,0.00008605402,0.00015109507,0.00010540562,0.000025177796,0.000091281785,0.00014777249,0.0000032170458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005756958,0.000030039357,0.958494,0.000083976636,0.0004319702,0.000016911943,0.00007021776,0.0015246064,0.01464895,0.000017836273,0.0103680175,0.013737764],"study_design_scores_gemma":[0.0072818208,0.0005679193,0.963564,0.00012812212,0.00022109746,0.000254009,0.0007766511,0.0028587636,0.00023221449,0.00011509468,0.023476453,0.0005238747],"about_ca_topic_score_codex":0.58829534,"about_ca_topic_score_gemma":0.95235586,"teacher_disagreement_score":0.36406052,"about_ca_system_score_codex":0.0024727164,"about_ca_system_score_gemma":0.0040181205,"threshold_uncertainty_score":0.9999635},"labels":[],"label_agreement":null},{"id":"W2955084511","doi":"10.1158/1055-9965.epi-18-0915","title":"Effects of Switching to a Heat-Not-Burn Tobacco Product on Biologically Relevant Biomarkers to Assess a Candidate Modified Risk Tobacco Product: A Randomized Trial","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":135,"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":"U.S. Food and Drug Administration; American Association for Cancer Research","keywords":"Medicine; Tobacco product; Nicotine; Randomized controlled trial; Smoke; Tobacco harm reduction; Regimen; Cotinine; Tobacco smoke; Internal medicine; Tobacco use; Environmental health; Chemistry; Population","score_opus":0.052531095680225716,"score_gpt":0.3720196807834964,"score_spread":0.31948858510327066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955084511","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":[0.9740235,0.0007863142,0.003439812,0.005409297,0.0030081717,0.013050641,0.00002791604,0.00014823617,0.00010608382],"genre_scores_gemma":[0.993278,0.00042770675,0.0018934564,0.0012112139,0.00043212558,0.0023172165,0.0001285077,0.000056552304,0.00025521053],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9920316,0.0034447152,0.0017289005,0.0015810219,0.0004113199,0.0008024612],"domain_scores_gemma":[0.9949822,0.0025011196,0.00089568633,0.00096521375,0.00029327077,0.0003625484],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009991158,0.0005589687,0.002361857,0.0006150539,0.00014100363,0.000019938034,0.0003075972,0.0003789933,0.0000889166],"category_scores_gemma":[0.010835318,0.0004172668,0.0007095265,0.0007496295,0.0001454794,0.00014027105,0.0001249936,0.00046746022,0.000026660167],"study_design_candidate":"randomized_trial","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":[0.67869276,0.000516114,0.16229405,0.00025591557,0.0014677894,0.00001016724,0.00023967314,0.00022480397,0.10412621,0.00010370333,0.0016179072,0.050450925],"study_design_scores_gemma":[0.4350339,0.004413408,0.50644493,0.0028951417,0.0024456694,0.000019061588,0.00008885253,0.00026942007,0.04610246,0.00090028846,0.0004922213,0.0008946457],"about_ca_topic_score_codex":0.0021771996,"about_ca_topic_score_gemma":0.000100369536,"teacher_disagreement_score":0.3441509,"about_ca_system_score_codex":0.0005560242,"about_ca_system_score_gemma":0.00034712587,"threshold_uncertainty_score":0.9998279},"labels":[],"label_agreement":null},{"id":"W2955885749","doi":"10.1158/1055-9965.epi-18-1215","title":"Investigation of Leukocyte Telomere Length and Genetic Variants in Chromosome 5p15.33 as Prognostic Markers in Lung Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Public Health Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Telomere; Lung cancer; Chromosome; Biology; Genetics; Cancer; Medicine; Pathology; Oncology; DNA; Gene","score_opus":0.0319511719446368,"score_gpt":0.3313167465041048,"score_spread":0.299365574559468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955885749","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":[0.97437,0.021788877,0.0000357284,0.0014492301,0.0005095228,0.001670416,0.00001529385,0.000034127243,0.00012679206],"genre_scores_gemma":[0.9896759,0.007934647,0.0011882364,0.00045291678,0.00007773608,0.00030408433,0.000057125217,0.000035077268,0.00027430846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965786,0.0007893809,0.0011035237,0.00077610044,0.00018023935,0.0005721536],"domain_scores_gemma":[0.9982987,0.0005558447,0.00050718535,0.00035642524,0.000088433706,0.00019343353],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013058529,0.0003119194,0.0009426388,0.00050947093,0.00003797707,0.0000055110113,0.00013893435,0.00036691615,0.0003147826],"category_scores_gemma":[0.0006393301,0.00030157476,0.00011299581,0.00062877504,0.00033217543,0.0002058733,0.0000658628,0.00032148985,0.000010784124],"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":[0.0006940482,0.00005125926,0.96035445,0.0009090117,0.00020519165,0.000028044482,0.00026251216,0.00005590698,0.021304708,0.000067493114,0.00028766622,0.015779713],"study_design_scores_gemma":[0.0028165563,0.0002884149,0.98750955,0.0025301254,0.00016393501,0.000040040424,0.00012879285,0.003693264,0.0013352174,0.0011406065,0.00008477044,0.00026870388],"about_ca_topic_score_codex":0.0032054752,"about_ca_topic_score_gemma":0.0012173777,"teacher_disagreement_score":0.02715513,"about_ca_system_score_codex":0.0004502194,"about_ca_system_score_gemma":0.0005794998,"threshold_uncertainty_score":0.9999436},"labels":[],"label_agreement":null},{"id":"W2965379381","doi":"10.1158/1055-9965.epi-19-0523","title":"Long-term Effects of Moderate versus High Durations of Aerobic Exercise on Biomarkers of Breast Cancer Risk: Follow-up to a Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Alberta Health; Alberta Cancer Foundation; University of Calgary; Alberta Health Services","funders":"Canadian Cancer Society Research Institute; Canadian Cancer Society; Alberta Cancer Foundation","keywords":"Medicine; Breast cancer; Biomarker; Aerobic exercise; Randomized controlled trial; Internal medicine; Cancer; Physical therapy","score_opus":0.022512413557629916,"score_gpt":0.34454317958741143,"score_spread":0.32203076602978153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965379381","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":[0.9775299,0.004538788,0.0009941658,0.0007103959,0.005073367,0.0109313205,0.00014005325,0.00003178511,0.00005022612],"genre_scores_gemma":[0.99239725,0.004504131,0.0002257952,0.00006366357,0.00013840324,0.0021253803,0.00009382913,0.000040885625,0.00041065112],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9951468,0.0015249024,0.0019834565,0.00062991347,0.0002796671,0.00043522049],"domain_scores_gemma":[0.99343926,0.003233295,0.0021703024,0.00059660827,0.0003497963,0.00021072249],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025265408,0.00040746538,0.0041639996,0.00048590807,0.0000588526,0.000003917806,0.00017476398,0.00035933187,0.00044080007],"category_scores_gemma":[0.0012017158,0.0003094528,0.0014604793,0.00041677407,0.00036027984,0.00010090476,0.000049964485,0.00020143115,0.00000719687],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9366034,0.0003023541,0.04058231,0.000563342,0.0056670536,0.0000017424959,0.00015104699,0.00030461446,0.007871311,0.00009284738,0.0006691042,0.007190837],"study_design_scores_gemma":[0.85550684,0.001668521,0.12923847,0.0026533338,0.00427422,0.0000014618121,0.000027626333,0.00053269474,0.0056411684,0.00020160268,0.00000517324,0.00024888653],"about_ca_topic_score_codex":0.004374861,"about_ca_topic_score_gemma":0.00063803967,"teacher_disagreement_score":0.088656165,"about_ca_system_score_codex":0.00030756416,"about_ca_system_score_gemma":0.0004577867,"threshold_uncertainty_score":0.99993575},"labels":[],"label_agreement":null},{"id":"W2966521805","doi":"10.1158/1055-9965.epi-19-0464","title":"Statin Use and Prostate Cancer Incidence in Manitoba, Canada: A Population-Based Nested Case–Control Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Manitoba Centre for Health Policy, University of Manitoba","keywords":"Medicine; Prostate cancer; Statin; Pravastatin; Odds ratio; Population; Internal medicine; Oncology; Nested case-control study; Cancer; Confidence interval; Relative risk; Incidence (geometry); Case-control study; Cholesterol; Environmental health","score_opus":0.024991428733447594,"score_gpt":0.3057338854536563,"score_spread":0.2807424567202087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966521805","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":[0.98564833,0.008274436,0.00020040141,0.00047440105,0.0033596982,0.0017997414,0.00022553366,0.000013342974,0.000004123625],"genre_scores_gemma":[0.9964944,0.0005642627,0.00024043572,0.0008805055,0.0007160327,0.00063874945,0.0001704349,0.000029299781,0.0002658436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698067,0.0010679554,0.0006418693,0.0007428596,0.00011079807,0.00045587975],"domain_scores_gemma":[0.9987785,0.00024238371,0.00036532304,0.00036564845,0.0001200436,0.00012808068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011882214,0.00027165422,0.0004998517,0.000106033236,0.00008554288,0.000015730153,0.000118026015,0.00018300212,0.000051689392],"category_scores_gemma":[0.0003718098,0.00026816642,0.000075658245,0.00016517461,0.00006442723,0.000027094033,0.000050747698,0.00014556384,0.0000010407576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005406365,0.00005762111,0.9829927,0.000048957147,0.00018280631,0.00000487048,0.00004580178,0.0014010862,0.003149757,0.0000074499935,0.0027390548,0.008829222],"study_design_scores_gemma":[0.0029762061,0.00018402794,0.98981696,0.00009130866,0.00011440902,0.000021746197,0.0002959254,0.0010978754,0.00006783496,0.000057713634,0.0049727494,0.0003032173],"about_ca_topic_score_codex":0.76208204,"about_ca_topic_score_gemma":0.9706726,"teacher_disagreement_score":0.20859057,"about_ca_system_score_codex":0.00028000935,"about_ca_system_score_gemma":0.0008283109,"threshold_uncertainty_score":0.99997705},"labels":[],"label_agreement":null},{"id":"W2971948065","doi":"10.1158/1055-9965.epi-19-0596","title":"A Comprehensive Study of the Effect on Colorectal Cancer Survival of Common Germline Genetic Variation Previously Linked with Cancer Prognosis","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":"Centre for Global Health Research","funders":"Medical Research Council; China Scholarship Council; Cancer Research UK; Wellcome Trust; Melville Charitable Trust","keywords":"Colorectal cancer; Cancer; Medicine; Germline; Oncology; Internal medicine; Germline mutation; Population; Genetics; Biology; Mutation; Gene","score_opus":0.026854647258236435,"score_gpt":0.33340969158303896,"score_spread":0.3065550443248025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971948065","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":[0.99151343,0.0043100864,0.00018916975,0.0004665931,0.00083175406,0.0025898088,0.00005780712,0.0000114266595,0.000029904888],"genre_scores_gemma":[0.9974345,0.00073148025,0.00027468515,0.00014301232,0.00013630281,0.0010423752,0.00007435888,0.000032484582,0.00013079842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99511683,0.002778048,0.00088165427,0.00065151474,0.00016998067,0.00040199977],"domain_scores_gemma":[0.9973638,0.000493762,0.0013323418,0.00048178865,0.00026294246,0.00006538694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101791,0.00030996194,0.0008962516,0.00007543283,0.000095785625,0.000003062756,0.00031857516,0.0003526875,0.00006379213],"category_scores_gemma":[0.00021666694,0.0002142555,0.00024586043,0.0002622894,0.00020237829,0.0000059403087,0.00013477173,0.00018364651,0.0000018808765],"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":[0.0011089359,0.00029333436,0.94161016,0.0001212005,0.0013850149,2.3788236e-7,0.0001297112,0.0062471395,0.043401785,0.000006258111,0.00032731166,0.0053688856],"study_design_scores_gemma":[0.0024661939,0.0050193695,0.98667234,0.00020839745,0.00041898852,0.0000016664967,0.000087224515,0.00065289944,0.00398904,0.00006393519,0.0002083535,0.0002115813],"about_ca_topic_score_codex":0.0023771713,"about_ca_topic_score_gemma":0.0034317723,"teacher_disagreement_score":0.045062162,"about_ca_system_score_codex":0.00011387517,"about_ca_system_score_gemma":0.00020250032,"threshold_uncertainty_score":0.8737086},"labels":[],"label_agreement":null},{"id":"W2972201688","doi":"10.1158/1055-9965.epi-19-0618","title":"Vaccination of Young Women Decreases Human Papillomavirus Transmission in Heterosexual Couples: Findings from the HITCH Cohort Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV 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":true,"ca_institutions":"Public Health Ontario; Université de Montréal; St. Michael's Hospital; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Vaccination; Medicine; Confidence interval; Incidence (geometry); Logistic regression; Concordance; Cohort; Demography; Young adult; Gynecology; Prospective cohort study; Obstetrics; Internal medicine; Immunology","score_opus":0.055947492122234516,"score_gpt":0.41072753367492953,"score_spread":0.35478004155269505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972201688","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":[0.9922168,0.0043572118,0.00015257655,0.0005899208,0.00020677528,0.0021911538,0.000016266802,0.000026129448,0.00024316832],"genre_scores_gemma":[0.9978283,0.0008244268,0.000057654215,0.0001857663,0.00008078517,0.00048039464,0.00017063532,0.000021288428,0.00035074583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970495,0.00085592025,0.00082013983,0.0005533166,0.0002940602,0.00042703914],"domain_scores_gemma":[0.9983501,0.0007762163,0.00021220424,0.00039855664,0.00012393961,0.00013898572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003254225,0.0001931954,0.0007556359,0.00014342245,0.00008825596,0.000006784948,0.0002069646,0.0001932479,0.0048656063],"category_scores_gemma":[0.00025272663,0.00013881625,0.00014471883,0.00030566813,0.000095202224,0.000104903025,0.00006139989,0.00029178875,0.00001287074],"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":[0.0014690042,0.00043085802,0.95243484,0.00009208323,0.00037479633,0.0000028990444,0.0006722736,0.0000079303945,0.0073920246,0.000018620032,0.0004083664,0.03669629],"study_design_scores_gemma":[0.0038315172,0.0008819673,0.9915609,0.000118399985,0.0001124416,0.0000017004247,0.0009744925,0.00028347946,0.0004992941,0.001406557,0.00020205336,0.00012719903],"about_ca_topic_score_codex":0.0054298877,"about_ca_topic_score_gemma":0.0016966293,"teacher_disagreement_score":0.039126042,"about_ca_system_score_codex":0.0005733404,"about_ca_system_score_gemma":0.00014584379,"threshold_uncertainty_score":0.9960441},"labels":[],"label_agreement":null},{"id":"W2973171406","doi":"10.1158/1055-9965.epi-19-0557","title":"Perspectives for Consideration in the Development of Microbial Cell Reference Materials","year":2019,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bacterial Identification and Susceptibility Testing","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":"University of Guelph","funders":"National Cancer Institute; National Institutes of Health","keywords":"Development (topology); Biochemical engineering; Engineering; Mathematics","score_opus":0.22787029759547917,"score_gpt":0.44676501461214646,"score_spread":0.2188947170166673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973171406","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":[0.0069451067,0.9891226,0.0011069982,0.00009172244,0.0005545507,0.0020143003,0.00011086909,0.000006195199,0.00004762941],"genre_scores_gemma":[0.0050255475,0.983278,0.0069031375,0.000050791718,0.00020708445,0.0008678818,0.0032875445,0.000029581273,0.000350452],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965496,0.0014175108,0.0012015846,0.00057110697,0.000043379634,0.00021681467],"domain_scores_gemma":[0.9981734,0.0003381166,0.00097292213,0.00037159887,0.00012331364,0.00002063203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031296203,0.00023529174,0.00083965,0.0000848004,0.00006974327,0.000013676935,0.00026361292,0.0004624491,0.000043805074],"category_scores_gemma":[0.00065245334,0.00018190088,0.00022298557,0.00007843133,0.000100521174,0.000005848898,0.000057433466,0.000092634524,0.0000061655983],"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":[0.00044168148,0.0004930206,0.000644081,0.030569091,0.0009856507,3.6872393e-7,0.0013267973,0.0000037559485,0.2965835,0.00066316203,0.010516606,0.6577723],"study_design_scores_gemma":[0.00089665654,0.00020914157,0.0014338967,0.004417677,0.0005915476,0.000007300868,0.000608875,0.000003084775,0.007634128,0.0004387444,0.98311836,0.00064061466],"about_ca_topic_score_codex":0.00002229139,"about_ca_topic_score_gemma":0.00024374806,"teacher_disagreement_score":0.9726017,"about_ca_system_score_codex":0.00008479765,"about_ca_system_score_gemma":0.00061526644,"threshold_uncertainty_score":0.74177027},"labels":[],"label_agreement":null},{"id":"W2973698554","doi":"10.1158/1055-9965.epi-19-0370","title":"Postdiagnosis Loss of Skeletal Muscle, but Not Adipose Tissue, Is Associated with Shorter Survival of Patients with Advanced Pancreatic Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","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":"University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Celgene; Howard Hughes Medical Institute; G1 Therapeutics; Dana-Farber/Harvard Cancer Center; Ludwig Center at Harvard; National Institutes of Health; Pancreatic Cancer Action Network; Pharmavite; Genentech; Stand Up To Cancer; Gilead Sciences","keywords":"Adipose tissue; Medicine; Cancer; Skeletal muscle; Pancreatic cancer; Internal medicine; Oncology","score_opus":0.03323412857714486,"score_gpt":0.3554715614700977,"score_spread":0.3222374328929528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973698554","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":[0.9933479,0.0023886454,0.00015466052,0.0018739844,0.00038304096,0.0014245132,0.00025342207,0.000035395307,0.00013846354],"genre_scores_gemma":[0.99525857,0.0012812857,0.0011991338,0.0010712016,0.000046968897,0.00022505122,0.00034023964,0.000040444385,0.00053712865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974791,0.0004354303,0.00086594024,0.00049305544,0.0002734476,0.0004530516],"domain_scores_gemma":[0.99752903,0.0005409378,0.000942233,0.00034166788,0.0004771696,0.00016895588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008167649,0.00025864516,0.0011515201,0.00017736346,0.00004975015,0.0000018804241,0.00010411397,0.00022645152,0.00091152714],"category_scores_gemma":[0.00019282839,0.00020164943,0.00013911106,0.0003179309,0.0002670797,0.00012970925,0.000028289745,0.00020372655,0.0000059952768],"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":[0.0020576126,0.00037494037,0.9788905,0.0006869611,0.00095891627,0.0000032070495,0.00008806848,0.0000115933,0.0013524743,0.000031784206,0.0005797264,0.014964234],"study_design_scores_gemma":[0.005947974,0.0015924842,0.9855819,0.0030249704,0.0006245551,0.000001648727,0.000055730157,0.0000618713,0.0021999767,0.00010926449,0.0005893285,0.00021031957],"about_ca_topic_score_codex":0.00046479673,"about_ca_topic_score_gemma":0.00031336065,"teacher_disagreement_score":0.014753914,"about_ca_system_score_codex":0.00026501808,"about_ca_system_score_gemma":0.00023335154,"threshold_uncertainty_score":0.99805826},"labels":[],"label_agreement":null},{"id":"W2989970347","doi":"10.1158/1055-9965.epi-19-0546","title":"Alcohol Consumption, Cigarette Smoking, and Risk of Breast Cancer for <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers: Results from The BRCA1 and BRCA2 Cohort Consortium","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"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 de Québec; Amgen (Canada); Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Cancer Institute; Narodowe Centrum Badań i Rozwoju; Instituto de Salud Carlos III; Medical Research Council; National Institutes of Health; Universität Leipzig; National Health and Medical Research Council; Institut National Du Cancer; Cancer Research UK; KWF Kankerbestrijding; Lunds Universitet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Krebshilfe; Istituto Pasteur-Fondazione Cenci Bolognetti; Canadian Institutes of Health Research; Cancerfonden; Cancer Australia; European Regional Development Fund; National Breast Cancer Foundation; Ministerstvo Školství, Mládeže a Tělovýchovy; Fondation de France; Ministère du Développement Économique, de l’Innovation et de l’Exportation; National Institute for Health and Care Research; Freistaat Sachsen; Ministero dello Sviluppo Economico; National Institute on Handicapped Research; European Commission; Royal Marsden NHS Foundation Trust; Deutsches Krebsforschungszentrum; Ministerio de Economía y Competitividad; John Tracy Clinic","keywords":"Medicine; Alcohol consumption; Breast cancer; Cohort; Oncology; Lifetime risk; Cigarette smoking; Gynecology; Internal medicine; Cancer; Environmental health; Demography; Biology; Alcohol","score_opus":0.023942940181987407,"score_gpt":0.3196880760130371,"score_spread":0.2957451358310497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989970347","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":[0.9508051,0.040352527,0.0013426489,0.002441334,0.0007274491,0.0013345912,0.0029508783,0.000018005707,0.000027410744],"genre_scores_gemma":[0.97373605,0.022724291,0.00085596234,0.0008901606,0.00026217703,0.000489424,0.00085363386,0.000039425795,0.00014885017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707854,0.00064921577,0.00079287565,0.0010057166,0.00011843242,0.0003552166],"domain_scores_gemma":[0.9975071,0.00071633764,0.00090638135,0.0005052738,0.0002505248,0.00011436378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002111936,0.0003006667,0.0004836662,0.000058502636,0.0002085059,0.0000216062,0.00016802055,0.00042294906,0.000040417657],"category_scores_gemma":[0.0005270192,0.0002606179,0.00012679076,0.00009574361,0.0008045374,0.000028978659,0.00012554842,0.00017440923,7.323799e-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":[0.0010744316,0.00001899572,0.9530476,0.00008035139,0.002447345,3.6853854e-7,0.00021896666,0.00013039228,0.0138928,0.00004844816,0.011611122,0.017429195],"study_design_scores_gemma":[0.004224809,0.00016785532,0.9771016,0.00021191343,0.0011011148,0.000029970844,0.00022229797,0.0006455738,0.0069367867,0.0014371661,0.007558682,0.00036218448],"about_ca_topic_score_codex":0.0016726981,"about_ca_topic_score_gemma":0.001254183,"teacher_disagreement_score":0.024054062,"about_ca_system_score_codex":0.00011508981,"about_ca_system_score_gemma":0.00023427472,"threshold_uncertainty_score":0.9999846},"labels":[],"label_agreement":null},{"id":"W2994781997","doi":"10.1158/1055-9965.epi-19-0887","title":"Whole Exome Sequencing of Highly Aggregated Lung Cancer Families Reveals Linked Loci for Increased Cancer Risk on Chromosomes 12q, 7p, and 4q","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomic variations and chromosomal abnormalities","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":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Institute of Environmental Health Sciences; U.S. Department of Health and Human Services; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; Cancer Prevention and Research Institute of Texas","keywords":"Lung cancer; Exome sequencing; Biology; Haplotype; Genetics; Cancer; Family history; Exome; Locus (genetics); Genome-wide association study; Gene; Medicine; Oncology; Single-nucleotide polymorphism; Internal medicine; Genotype; Mutation","score_opus":0.020289256347825912,"score_gpt":0.30601654795911853,"score_spread":0.2857272916112926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994781997","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":[0.9717017,0.024920762,0.00044854925,0.0005935778,0.00048458972,0.0009614367,0.0007945997,0.000023128894,0.00007169077],"genre_scores_gemma":[0.9839864,0.0117471125,0.0009147764,0.00035277303,0.0002779352,0.00070870644,0.00060618704,0.000038527232,0.0013676307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760795,0.0004883395,0.00070734584,0.0006660546,0.00008570395,0.0004445959],"domain_scores_gemma":[0.9983076,0.00021703959,0.00080024364,0.00037636398,0.00019505472,0.00010372762],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010066321,0.00030548687,0.0006073291,0.00011592422,0.00015033376,0.000010145149,0.00018615401,0.0003960137,0.00010207991],"category_scores_gemma":[0.00025091064,0.0002830391,0.0002261883,0.00012643867,0.00019568455,0.000020574487,0.00008591233,0.00012668432,0.0000025522156],"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":[0.00068503094,0.000047232734,0.57784194,0.0004955878,0.00124811,5.4809203e-7,0.00016521417,0.0011610226,0.40969783,0.00026977467,0.0036935643,0.004694139],"study_design_scores_gemma":[0.008067427,0.0018507169,0.7871623,0.002085291,0.0014016108,0.0000136373965,0.00097440794,0.005467271,0.17080837,0.0057232114,0.014811601,0.001634156],"about_ca_topic_score_codex":0.0032097667,"about_ca_topic_score_gemma":0.0007404769,"teacher_disagreement_score":0.23888946,"about_ca_system_score_codex":0.000211493,"about_ca_system_score_gemma":0.000321104,"threshold_uncertainty_score":0.99996215},"labels":[],"label_agreement":null},{"id":"W2995708334","doi":"10.1158/1055-9965.epi-19-0755","title":"Identification of Novel Loci and New Risk Variant in Known Loci for Colorectal Cancer Risk in East Asians","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"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 Cancer Institute; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Key Research and Development Program of China; Health and Medical Research Fund; National Center for Advancing Translational Sciences; National Research Foundation of Korea; Medical Research Council; National Health and Medical Research Council; Agència de Gestió d'Ajuts Universitaris i de Recerca; Canadian Institutes of Health Research; National Institute of Diabetes and Digestive and Kidney Diseases; Chonnam National University Hwasun Hospital; Instituto de Salud Carlos III; Xunta de Galicia; Xarxa de Bancs de Tumors de Catalunya; National Institutes of Health; Junta de Castilla y León; Cancer Research UK; KWF Kankerbestrijding; National Natural Science Foundation of China; Vetenskapsrådet; Ministry of Education, Culture, Sports, Science and Technology; Federación Española de Enfermedades Raras; National Cancer Center; Ministerstvo Zdravotnictví Ceské Republiky; National Institute on Aging; National Institute for Health and Care Research; National Institute of Environmental Health Sciences; Fundación Científica Asociación Española Contra el Cáncer; Grantová Agentura České Republiky; Ministerio de Economía y Competitividad; Vanderbilt-Ingram Cancer Center","keywords":"Genome-wide association study; Linkage disequilibrium; Colorectal cancer; Genetics; Allele; Genetic association; Oncology; Indel; Biology; Internal medicine; Medicine; Single-nucleotide polymorphism; Cancer; Gene; Haplotype; Genotype","score_opus":0.02538365111797392,"score_gpt":0.3241952577189317,"score_spread":0.2988116066009578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995708334","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":[0.95032406,0.00689097,0.040284127,0.0009230388,0.000392037,0.00093220646,0.00021795745,0.0000065403683,0.000029033412],"genre_scores_gemma":[0.98908067,0.0054338602,0.004242218,0.00008794214,0.00013329585,0.00032362726,0.00028177683,0.000022431026,0.00039420923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972137,0.0006831696,0.0009827841,0.00066075864,0.000051483818,0.00040810148],"domain_scores_gemma":[0.9983407,0.00024501234,0.0009928872,0.00025176574,0.00008970613,0.00007990664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030944524,0.00020167122,0.0005390034,0.00014267658,0.00005200001,0.000004081098,0.00015720187,0.00049133145,0.00003261217],"category_scores_gemma":[0.0012464693,0.00020527754,0.00015622536,0.00018287599,0.00013221058,0.000011123069,0.0000697497,0.00015493047,0.0000022955778],"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":[0.00037110594,0.00010057137,0.9273925,0.000046776564,0.00023307427,1.768112e-7,0.00010727514,0.0027168172,0.049611088,0.00012726976,0.0018968151,0.017396562],"study_design_scores_gemma":[0.002663324,0.0002590853,0.98092157,0.00006077177,0.00010354273,0.0000034898442,0.00014911646,0.010140878,0.0011830064,0.0030166842,0.0012736468,0.00022490135],"about_ca_topic_score_codex":0.0036286928,"about_ca_topic_score_gemma":0.009461852,"teacher_disagreement_score":0.053529087,"about_ca_system_score_codex":0.00012634303,"about_ca_system_score_gemma":0.0002441912,"threshold_uncertainty_score":0.83709747},"labels":[],"label_agreement":null},{"id":"W2999965957","doi":"10.1158/1055-9965.epi-19-0929","title":"A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","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":"Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; Cancer Research UK","keywords":"Medicine; Colorectal cancer; Family history; Population; Internal medicine; Confidence interval; Cancer registry; Cancer; Oncology; Demography; Gynecology; Environmental health","score_opus":0.06522830338400573,"score_gpt":0.2984089056808391,"score_spread":0.23318060229683338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999965957","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":[0.96360666,0.012561307,0.020895759,0.0011097292,0.0007846183,0.0005889062,0.00026143246,0.0001511726,0.000040426847],"genre_scores_gemma":[0.99350405,0.0021233123,0.002232866,0.00081594347,0.0005477765,0.000117815776,0.00046684023,0.00003594091,0.00015544229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794316,0.00032001306,0.0005813973,0.00069401663,0.00014474013,0.00031669697],"domain_scores_gemma":[0.99866724,0.00017498177,0.00059647975,0.00010324687,0.000044230062,0.00041381005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002930842,0.00030486155,0.000624433,0.000094532275,0.00016176527,0.0000067054243,0.00006111591,0.0002833055,0.00013553533],"category_scores_gemma":[0.00020180366,0.00029817031,0.00020045732,0.0000971901,0.00023657753,0.00015646813,0.00006793527,0.00042267004,0.0000033296524],"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":[0.0056726504,0.000039444447,0.8935899,0.00009836805,0.0005816075,0.000004099762,0.0011841336,0.00017262223,0.030723099,0.000008798288,0.009714297,0.05821097],"study_design_scores_gemma":[0.0015788457,0.001446101,0.763456,0.0001500895,0.0005113043,0.000012918206,0.00041725542,0.23012646,0.0003573626,0.00017957861,0.0015073722,0.00025673702],"about_ca_topic_score_codex":0.0016159076,"about_ca_topic_score_gemma":0.00012305846,"teacher_disagreement_score":0.22995384,"about_ca_system_score_codex":0.0010600943,"about_ca_system_score_gemma":0.0003649071,"threshold_uncertainty_score":0.9999471},"labels":[],"label_agreement":null},{"id":"W3000340261","doi":"10.1158/1055-9965.epi-19-0953","title":"Association of Serum Immunoglobulin Levels with Solid Cancer: A Systematic Review and Meta-analysis","year":2020,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":23,"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 Institute for Health and Care Research; Medical Research Council Canada; Cancer Research UK; National Institute on Handicapped Research","keywords":"Medicine; Meta-analysis; Antibody; Confidence interval; Internal medicine; Cancer; Cochrane Library; Observational study; Immunoglobulin G; Immunology; Oncology","score_opus":0.14847380577691877,"score_gpt":0.4401395295933584,"score_spread":0.2916657238164396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000340261","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":[0.0000026405335,0.98784876,0.00024698596,0.0052635795,0.00013299617,0.0056066457,0.0008195485,0.00005734925,0.000021506961],"genre_scores_gemma":[0.000034407054,0.99235255,0.0005174571,0.0015750616,0.00005939863,0.0030315912,0.0002705153,0.00007235237,0.0020866743],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99133533,0.0033038233,0.0034191806,0.0010556858,0.00035168644,0.00053429924],"domain_scores_gemma":[0.99124515,0.0010867115,0.0063383444,0.00080784666,0.00032698063,0.00019495882],"candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048441524,0.0008622698,0.018975776,0.00041475755,0.00009459445,0.000012324263,0.0002964223,0.000746513,0.0012459652],"category_scores_gemma":[0.00067091105,0.00055067433,0.005178655,0.0017354903,0.00021550042,0.00010987767,0.00008536604,0.00048608947,0.000008036715],"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":[0.000105736966,0.000033773533,0.00027785244,0.47822398,0.50219655,0.000004339893,0.000015831829,4.123326e-7,0.0000012383975,0.000004009445,0.0009886465,0.018147634],"study_design_scores_gemma":[0.00057400874,0.00023899398,0.0003617539,0.09913835,0.85963774,0.00003712912,0.000010480584,0.000008044396,0.0000027293556,0.00002090236,0.039553747,0.00041612645],"about_ca_topic_score_codex":0.00031805618,"about_ca_topic_score_gemma":0.00025710827,"teacher_disagreement_score":0.37908563,"about_ca_system_score_codex":0.0010901364,"about_ca_system_score_gemma":0.0009288606,"threshold_uncertainty_score":0.99969447},"labels":[],"label_agreement":null},{"id":"W3006055254","doi":"10.1158/1055-9965.epi-19-0891","title":"Mendelian Randomization of Circulating Polyunsaturated Fatty Acids and Colorectal Cancer Risk","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":38,"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; Ontario Institute for Cancer Research; Cancer Care Ontario","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Health and Medical Research Council; Conseil Régional des Pays de la Loire; U.S. Public Health Service; U.S. Department of Health and Human Services; DHHS Office of the Secretary; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Consejería de Educación, Junta de Castilla y León; Vetenskapsrådet; Medical Research Council; Swedish Cancer Foundation; Association Anne de Bretagne Genetique; Canadian Institutes of Health Research; California Department of Public Health; Matthias Lackas-Stiftung; Stockholms Läns Landsting; Division of Cancer Prevention, National Cancer Institute; National Institute of Diabetes and Digestive and Kidney Diseases; Moffitt Cancer Center; World Health Organization; Cancer Research UK; American Cancer Society; Instituto de Salud Carlos III; Xarxa de Bancs de Tumors de Catalunya; Canadian Cancer Society Research Institute; National Institutes of Health; Junta de Castilla y León","keywords":"Mendelian randomization; Colorectal cancer; Medicine; Internal medicine; Polyunsaturated fatty acid; Aspirin; Docosapentaenoic acid; Confounding; Eicosapentaenoic acid; Oncology; Genome-wide association study; Confidence interval; Lower risk; Cancer; Single-nucleotide polymorphism; Endocrinology; Biology; Genetics; Genotype; Fatty acid; Gene; Biochemistry; Genetic variants","score_opus":0.03448742269432371,"score_gpt":0.33407951026702337,"score_spread":0.2995920875726997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006055254","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":[0.98338866,0.008562076,0.0044772206,0.0021656025,0.00045380072,0.00081009,0.0000282801,0.00006269149,0.00005157922],"genre_scores_gemma":[0.9957763,0.0021701457,0.0010693219,0.0004597893,0.000278142,0.00012136007,0.00008763111,0.000022426237,0.000014872528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977667,0.0008251643,0.0006457627,0.00038565657,0.00010115306,0.00027561188],"domain_scores_gemma":[0.9985716,0.000389734,0.0006037816,0.00010646063,0.00011828571,0.00021013536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012853366,0.00019256964,0.00071199733,0.000085972846,0.00009435617,0.0000031960583,0.00004955862,0.0002519038,0.00013744642],"category_scores_gemma":[0.0013675247,0.00016374043,0.00015634779,0.00025815377,0.00018922903,0.00009191887,0.000030700165,0.00020377483,0.0000026373823],"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":[0.003447587,0.000021548567,0.8895511,0.0002895739,0.00060446403,0.000005145309,0.00032868414,0.00011465953,0.07125166,0.000035089575,0.0006461962,0.03370428],"study_design_scores_gemma":[0.010381454,0.00044808874,0.924717,0.00053211534,0.0009045915,0.000014230049,0.0001163712,0.036311865,0.025602445,0.0003516985,0.00035560114,0.00026455146],"about_ca_topic_score_codex":0.00033156632,"about_ca_topic_score_gemma":0.000063912354,"teacher_disagreement_score":0.045649216,"about_ca_system_score_codex":0.0001007437,"about_ca_system_score_gemma":0.00015891173,"threshold_uncertainty_score":0.6677141},"labels":[],"label_agreement":null},{"id":"W3006080005","doi":"10.1158/1055-9965.epi-19-0348","title":"Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"University of Toronto","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Breast cancer; Body mass index; Overweight; MAMMOGRAPHIC DENSITY; Population; Cohort; Environmental health; Mammography; Internal medicine; Demography; Oncology; Cancer","score_opus":0.06488693810401552,"score_gpt":0.3376986292822528,"score_spread":0.2728116911782373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006080005","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":[0.9881377,0.0010385815,0.00055208086,0.009432034,0.00010890624,0.0005607581,0.0000057146744,0.000042556745,0.000121619356],"genre_scores_gemma":[0.99505925,0.00027888565,0.0012221392,0.0031739052,0.000051304683,0.00011097906,0.000041953175,0.000012802099,0.000048788956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983049,0.00029254347,0.00048356032,0.00047359982,0.00007031422,0.00037504974],"domain_scores_gemma":[0.9992333,0.00022418611,0.00011714885,0.00014274208,0.00003124526,0.00025138454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009307887,0.00015384232,0.0004384284,0.0004056606,0.00002774642,0.0000105212075,0.000053844775,0.00014138756,0.000019012192],"category_scores_gemma":[0.0006704105,0.00015258064,0.00009820581,0.00083444273,0.00010466477,0.00032879913,0.00004758746,0.00019164204,0.0000064752494],"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":[0.0008373029,0.000047050064,0.9506803,0.000045142726,0.00008517905,0.000020970521,0.00024076444,0.000017711993,0.00074748136,0.00010181628,0.00058865163,0.046587635],"study_design_scores_gemma":[0.001310751,0.00017826686,0.99518955,0.00030901755,0.000033191394,0.000019728695,0.00011229035,0.00030781652,0.00003715849,0.0018116854,0.00055523723,0.0001352915],"about_ca_topic_score_codex":0.0002730576,"about_ca_topic_score_gemma":0.00042547614,"teacher_disagreement_score":0.046452343,"about_ca_system_score_codex":0.00014487155,"about_ca_system_score_gemma":0.000045998975,"threshold_uncertainty_score":0.62220585},"labels":[],"label_agreement":null},{"id":"W3006981063","doi":"10.1158/1055-9965.epi-19-0803","title":"Lipid Trait Variants and the Risk of Non-Hodgkin Lymphoma Subtypes: A Mendelian Randomization Study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":"Simon Fraser University","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Center for Chronic Disease Prevention and Health Promotion; Blood Cancer UK; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; World Health Organization","keywords":"Mendelian randomization; Internal medicine; Follicular lymphoma; Odds ratio; Single-nucleotide polymorphism; Diffuse large B-cell lymphoma; Oncology; Confidence interval; Genome-wide association study; Lymphoma; Medicine; Gastroenterology; Biology; Genotype; Genetics; Gene","score_opus":0.02140702581626134,"score_gpt":0.3065144196591288,"score_spread":0.28510739384286743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006981063","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":[0.9422066,0.0039062575,0.047837146,0.0042661605,0.00031681673,0.0012593302,0.00005168559,0.000014022922,0.00014197745],"genre_scores_gemma":[0.9935589,0.0029941201,0.0019844691,0.0007639261,0.00026083086,0.00022586258,0.000104654464,0.000019520596,0.00008772882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950863,0.0031747194,0.0008266236,0.000550449,0.00007248006,0.0002894192],"domain_scores_gemma":[0.99823976,0.00045870757,0.0008010498,0.0002902883,0.00010638016,0.00010379911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042587216,0.00021021337,0.0006555151,0.000044816967,0.00015344062,0.0000053615804,0.0002097412,0.00026388172,0.00003943457],"category_scores_gemma":[0.0026953183,0.0001526377,0.00022487454,0.00016852088,0.00031793758,0.000006833628,0.000114913804,0.00008781911,0.0000026474781],"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":[0.0060924804,0.00021974099,0.92876357,0.00004719717,0.0028524238,7.2419044e-7,0.0008656107,0.0010106222,0.006774635,0.00012961896,0.008958938,0.044284455],"study_design_scores_gemma":[0.019426148,0.00097146025,0.96382445,0.00002865047,0.00072374137,0.000004181831,0.0007515358,0.01016105,0.00033889813,0.0018188677,0.001684367,0.00026666667],"about_ca_topic_score_codex":0.00048449935,"about_ca_topic_score_gemma":0.00026964827,"teacher_disagreement_score":0.05135228,"about_ca_system_score_codex":0.00002261379,"about_ca_system_score_gemma":0.000106676795,"threshold_uncertainty_score":0.6224385},"labels":[],"label_agreement":null},{"id":"W3007970341","doi":"10.1158/1055-9965.epi-19-1382","title":"Prospective Association of Energy Balance Scores Based on Metabolic Biomarkers with Colorectal Cancer Risk","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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; Institute for Research in Immunology and Cancer","funders":"American Cancer Society","keywords":"Colorectal cancer; Medicine; Internal medicine; European Prospective Investigation into Cancer and Nutrition; Body mass index; Oncology; Cancer; Confidence interval; Cohort; Quartile; Prospective cohort study; Proportional hazards model; Cohort study","score_opus":0.023104336977938015,"score_gpt":0.3182892713265369,"score_spread":0.2951849343485989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007970341","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":[0.9609115,0.01337509,0.0071781254,0.014543945,0.0008895574,0.0015779339,0.00048010438,0.00019432,0.000849404],"genre_scores_gemma":[0.9929974,0.0033275774,0.00096400303,0.0015594036,0.00032702356,0.000534464,0.00012410195,0.00004545014,0.000120570476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971439,0.0006644492,0.00067477615,0.00074033695,0.0002994611,0.0004770407],"domain_scores_gemma":[0.9974434,0.0005710065,0.0012460754,0.00023518039,0.00025232235,0.0002520414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00090774184,0.00033786317,0.0010378713,0.00016940184,0.0001032147,0.000005988027,0.00012903727,0.0003001599,0.00032469022],"category_scores_gemma":[0.00078512804,0.00026787864,0.00033632267,0.00063387764,0.00023805242,0.00010442673,0.000027939306,0.0002766568,0.0000042968145],"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":[0.0072121625,0.00012652371,0.9698573,0.000089726855,0.0020273717,0.0000035556313,0.000075790835,0.0005326487,0.0020920767,0.00018537625,0.006431735,0.011365745],"study_design_scores_gemma":[0.004050369,0.0013070574,0.972306,0.000412609,0.0010043611,0.0000014434193,0.000039189214,0.008362257,0.008391333,0.00030207195,0.0035416412,0.00028166294],"about_ca_topic_score_codex":0.0038327735,"about_ca_topic_score_gemma":0.0016090092,"teacher_disagreement_score":0.032085888,"about_ca_system_score_codex":0.00066070457,"about_ca_system_score_gemma":0.0005218761,"threshold_uncertainty_score":0.99997735},"labels":[],"label_agreement":null},{"id":"W3009729700","doi":"10.1158/1055-9965.epi-19-1346","title":"The Key Characteristics of Carcinogens: Relationship to the Hallmarks of Cancer, Relevant Biomarkers, and Assays to Measure Them","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Cancer Centre","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; California Environmental Protection Agency; World Health Organization","keywords":"Carcinogenesis; Cancer; Identification (biology); Computational biology; Carcinogen; Cancer biomarkers; Hazard; Bioinformatics; Biology; Medicine; Risk analysis (engineering); Internal medicine; Genetics","score_opus":0.0689058833321833,"score_gpt":0.33418058114527527,"score_spread":0.265274697813092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009729700","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":[0.9363791,0.017388768,0.006291203,0.037963416,0.00044011616,0.001143979,0.00028781855,0.000010759974,0.000094884716],"genre_scores_gemma":[0.9940976,0.0029639772,0.0011755292,0.0012030542,0.00019969093,0.00018157359,0.00006434923,0.00002166829,0.00009255421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975839,0.0007477212,0.0007226871,0.00047706574,0.00014824033,0.00032034883],"domain_scores_gemma":[0.9983566,0.00034464058,0.00045682644,0.00044172246,0.00022379773,0.00017642957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002050047,0.0002081366,0.0003956921,0.000037298807,0.0002014935,0.000009160954,0.00031822638,0.00020778383,0.000018593022],"category_scores_gemma":[0.0013955461,0.0001422766,0.00019813016,0.00023500601,0.00022136174,0.000005217369,0.00022422364,0.00012722694,0.0000023586083],"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":[0.001380859,0.000040247956,0.6784503,0.00012159316,0.0010743007,8.5996083e-7,0.00042432625,0.0001224594,0.24869965,0.00048027828,0.020302914,0.048902236],"study_design_scores_gemma":[0.00053667306,0.00049386977,0.9378934,0.00016711542,0.00028476695,0.0000048709567,0.00035504432,0.0003113049,0.021626377,0.00035183085,0.03769533,0.00027945352],"about_ca_topic_score_codex":0.00039925933,"about_ca_topic_score_gemma":0.0010976035,"teacher_disagreement_score":0.25944307,"about_ca_system_score_codex":0.000051367602,"about_ca_system_score_gemma":0.00018578189,"threshold_uncertainty_score":0.58018714},"labels":[],"label_agreement":null},{"id":"W3009841356","doi":"10.1158/1055-9965.epi-20-0780","title":"Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":10,"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":"Mountain Equipment Co-operative; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; NHS Health Scotland","keywords":"Colorectal cancer; Medicine; Prospective cohort study; Odds ratio; Internal medicine; Cancer; Oncology; Confidence interval; Cohort study; Cohort; Logistic regression","score_opus":0.03619101451385775,"score_gpt":0.3398512449442686,"score_spread":0.30366023043041085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009841356","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":[0.95996946,0.017777449,0.0024637836,0.015893232,0.00037310546,0.003173914,0.000031459702,0.00005033133,0.00026726042],"genre_scores_gemma":[0.99248487,0.0015310892,0.003161773,0.0012598198,0.00005916538,0.001385433,0.000032500433,0.000025272422,0.000060050294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975386,0.00049055804,0.00087716366,0.00057989394,0.0001492046,0.0003645751],"domain_scores_gemma":[0.99891126,0.00025499213,0.00035402185,0.00016333445,0.0001353557,0.0001810146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016311426,0.00022822185,0.0008710778,0.000117911906,0.00007375701,0.000003731265,0.000104603845,0.00018426274,0.00011065716],"category_scores_gemma":[0.00087445613,0.00017318592,0.00014198833,0.00037315045,0.00054052245,0.000043694734,0.00011194624,0.00025487272,0.0000055551545],"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":[0.0049928944,0.00006255325,0.94429547,0.00019305538,0.0013494584,0.000010908245,0.0026243783,0.00012886927,0.031328794,0.00047555604,0.0012366719,0.013301407],"study_design_scores_gemma":[0.004482603,0.00022012836,0.97681475,0.0005716064,0.00034221198,0.0000131463785,0.00019625855,0.0012011945,0.013974872,0.0004655977,0.0015133942,0.00020421445],"about_ca_topic_score_codex":0.0005901313,"about_ca_topic_score_gemma":0.0016069788,"teacher_disagreement_score":0.032519322,"about_ca_system_score_codex":0.0005326525,"about_ca_system_score_gemma":0.0007158918,"threshold_uncertainty_score":0.7062317},"labels":[],"label_agreement":null},{"id":"W3010444944","doi":"10.1158/1055-9965.epi-20-0054","title":"Oxylipins Correlate with Quality of Life in Women Taking Aromatase Inhibitors for Breast Cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Internal medicine; Quality of life (healthcare); Medicine; Aromatase; Eicosapentaenoic acid; Cancer; Polyunsaturated fatty acid; Oncology; Fatty acid; Endocrinology; Chemistry; Biochemistry","score_opus":0.06924086723183273,"score_gpt":0.3745589197935952,"score_spread":0.3053180525617625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010444944","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":[0.9884732,0.0028349827,0.0011097926,0.0057078195,0.00048899703,0.0011347899,0.00018217188,0.000046304813,0.000021989166],"genre_scores_gemma":[0.99576235,0.00035368794,0.000573328,0.0019798914,0.00039614955,0.00080633385,0.00007324923,0.000031692303,0.000023306133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997394,0.000551789,0.0009848931,0.00046483005,0.00012405323,0.00048041166],"domain_scores_gemma":[0.9978992,0.0005164199,0.0009503194,0.00020350641,0.00009777763,0.00033277596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022833736,0.00022702517,0.0009911666,0.000117674135,0.000049178994,0.000002298428,0.00008821411,0.0002369857,0.00018168586],"category_scores_gemma":[0.0010277304,0.00018507136,0.00016658235,0.0002879623,0.00019755053,0.00010431839,0.0000316097,0.0002073745,0.0000033713918],"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":[0.010975111,0.00009562144,0.9575885,0.0015399969,0.0005246872,0.000006475385,0.00058923016,0.00016184869,0.004458502,0.000082736165,0.002903831,0.021073455],"study_design_scores_gemma":[0.0054464224,0.00038064373,0.9899489,0.001142481,0.00012682744,0.0000050334716,0.0002416379,0.0013983267,0.0003888915,0.0002081805,0.00049077405,0.0002218404],"about_ca_topic_score_codex":0.0006743786,"about_ca_topic_score_gemma":0.00024923595,"teacher_disagreement_score":0.032360435,"about_ca_system_score_codex":0.0003188233,"about_ca_system_score_gemma":0.00044600994,"threshold_uncertainty_score":0.7546991},"labels":[],"label_agreement":null},{"id":"W3011248848","doi":"10.1158/1055-9965.epi-19-1204","title":"Birth Order, Sibship Size, Childhood Environment and Immune-Related Disorders, and Risk of Lymphoma in Lymphoid Cancer Families","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":6,"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; Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; Spinal Cord Injury BC; University of British Columbia","funders":"Canadian Institutes of Health Research; Simon Fraser University","keywords":"Birth order; Lymphoma; Childhood cancer; Immune system; Cancer; Developmental psychology; Medicine; Demography; Oncology; Psychology; Immunology; Internal medicine; Environmental health; Sociology","score_opus":0.016301903741405506,"score_gpt":0.29291838718299346,"score_spread":0.27661648344158796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011248848","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":[0.9305726,0.061704785,0.00045495146,0.0059584565,0.00011683233,0.00096899713,0.000070067894,0.000040915507,0.00011239111],"genre_scores_gemma":[0.8416733,0.15620688,0.0012997237,0.0003508703,0.000050717143,0.00020312071,0.00004217632,0.000038438084,0.00013477348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966812,0.0008785405,0.0009893116,0.0007401943,0.00018761339,0.0005231423],"domain_scores_gemma":[0.9977615,0.0011655886,0.0004869563,0.0002782718,0.000040162264,0.00026755023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012330322,0.0003183357,0.0009251002,0.00016111904,0.00008743356,0.00000442843,0.00013338361,0.00035467677,0.00024108394],"category_scores_gemma":[0.001784052,0.0002808962,0.0001374814,0.00039677662,0.00076262606,0.000109130735,0.00020058831,0.00021891945,0.000005750115],"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":[0.0010819422,0.00014851317,0.8653621,0.0002679369,0.00092105183,0.0000062380277,0.00060288917,0.00009480274,0.0016623178,0.00004776424,0.0003677684,0.12943669],"study_design_scores_gemma":[0.010156464,0.000489223,0.9794854,0.00036918212,0.0003563601,0.000022095477,0.00040969532,0.00509643,0.00038760673,0.0017153921,0.0012633572,0.000248817],"about_ca_topic_score_codex":0.004125303,"about_ca_topic_score_gemma":0.00040928368,"teacher_disagreement_score":0.12918787,"about_ca_system_score_codex":0.0005463289,"about_ca_system_score_gemma":0.0005100336,"threshold_uncertainty_score":0.9999643},"labels":[],"label_agreement":null},{"id":"W3011633931","doi":"10.1158/1055-9965.epi-19-1113","title":"Li-Fraumeni Exploration Consortium Data Coordinating Center: Building an Interactive Web-Based Resource for Collaborative International Cancer Epidemiology Research for a Rare Condition","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genomics and Rare Diseases","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":"Hospital for Sick Children; University of Toronto","funders":"National Cancer Institute","keywords":"Harmonization; Resource (disambiguation); Data sharing; Computer science; Data science; World Wide Web; Knowledge management; Medicine","score_opus":0.25046962497764913,"score_gpt":0.49063945596317665,"score_spread":0.24016983098552752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011633931","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":[0.2721415,0.018859377,0.56029534,0.1161628,0.003589426,0.007901486,0.020766072,0.00016065469,0.00012334945],"genre_scores_gemma":[0.9316012,0.000955652,0.016825179,0.0044014393,0.0018261985,0.0039052465,0.040280357,0.000079499616,0.00012522735],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951524,0.0020121413,0.000836263,0.0013219798,0.0001041118,0.00057309895],"domain_scores_gemma":[0.99639213,0.0013121407,0.00073848554,0.0004772451,0.0008417367,0.00023827016],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003636831,0.00027839953,0.0004978845,0.0001397825,0.00036208247,0.000027907512,0.00064250326,0.00034221634,0.000050290695],"category_scores_gemma":[0.0057672802,0.00028601367,0.00018985831,0.00017093983,0.00031571655,0.00008320311,0.00027017458,0.00019304531,0.0000019039545],"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":[0.01925975,0.0006278267,0.060932055,0.00062407716,0.003012173,0.000006304253,0.00053489837,0.008264368,0.2015428,0.0020906448,0.65395606,0.049149077],"study_design_scores_gemma":[0.00909685,0.0025334724,0.0027561472,0.00051016035,0.00033461078,0.000005675574,0.0030155939,0.19650832,0.01390873,0.0070885653,0.76331455,0.0009273198],"about_ca_topic_score_codex":0.00007181131,"about_ca_topic_score_gemma":0.00030651505,"teacher_disagreement_score":0.6594597,"about_ca_system_score_codex":0.0001903412,"about_ca_system_score_gemma":0.0005945806,"threshold_uncertainty_score":0.99995923},"labels":[],"label_agreement":null},{"id":"W3014217485","doi":"10.1158/1055-9965.epi-19-1328","title":"A Systematic Analysis of Interactions between Environmental Risk Factors and Genetic Variation in Susceptibility to Colorectal Cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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":"Centre for Global Health Research","funders":"Medical Research Council; China Scholarship Council; Cancer Research UK; Wellcome Trust","keywords":"Colorectal cancer; Variation (astronomy); Genetic variation; Medicine; Cancer; Oncology; Genetics; Biology; Environmental health; Internal medicine; Population","score_opus":0.04647257294736429,"score_gpt":0.35149152204547096,"score_spread":0.3050189490981067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014217485","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":[0.99202716,0.0019780486,0.0031771006,0.0008767327,0.00023474226,0.0014709405,0.00020596286,0.00002288986,0.000006391043],"genre_scores_gemma":[0.9973773,0.0004957622,0.0014911753,0.00013611924,0.0000600132,0.00033773264,0.000074866795,0.000017041486,0.000010017166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99684954,0.0010246597,0.0010830696,0.00062175916,0.00014732013,0.0002736468],"domain_scores_gemma":[0.9978385,0.0010795799,0.0005906658,0.00021175068,0.000037913363,0.00024158154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073904457,0.00023024544,0.0012292372,0.00035795805,0.00004758132,0.000003824104,0.000096094656,0.00017477601,0.0003748867],"category_scores_gemma":[0.0013341451,0.00020279942,0.00027225676,0.0007476907,0.000143283,0.000058445406,0.000077236444,0.00020776525,0.0000031265404],"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":[0.00031461744,0.000053051772,0.9725444,0.00077160186,0.0030188977,8.482077e-7,0.0011295503,0.0009239041,0.020271612,0.0000010576324,0.000045702574,0.0009248062],"study_design_scores_gemma":[0.00050802657,0.00040540454,0.9866576,0.0005131019,0.004568253,8.5806363e-7,0.0002186859,0.005764538,0.0011350361,0.000072657065,0.000006509233,0.00014930045],"about_ca_topic_score_codex":0.0023248177,"about_ca_topic_score_gemma":0.0030115168,"teacher_disagreement_score":0.019136576,"about_ca_system_score_codex":0.0006427214,"about_ca_system_score_gemma":0.00009118259,"threshold_uncertainty_score":0.82699203},"labels":[],"label_agreement":null},{"id":"W3015628690","doi":"10.1158/1055-9965.epi-19-1154","title":"Premenopausal Plasma Osteoprotegerin and Breast Cancer Risk: A Case–Control Analysis Nested within the Nurses' Health Study II","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bone Metabolism and Diseases","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":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Dana-Farber/Harvard Cancer Center; National Science Foundation","keywords":"Breast cancer; Osteoprotegerin; Medicine; Oncology; Internal medicine; Confounding; Nested case-control study; Odds ratio; Nurses' Health Study; Case-control study; Biomarker; Confidence interval; Cancer; Receptor; Biology; Activator (genetics)","score_opus":0.023796069248002576,"score_gpt":0.33447605490928856,"score_spread":0.31067998566128596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015628690","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":[0.96816164,0.02096316,0.0015151547,0.006909422,0.00030861094,0.0014800489,0.0006210306,0.00003330375,0.00000759807],"genre_scores_gemma":[0.9962158,0.00085794204,0.00017744445,0.0015680119,0.0003438198,0.00062464445,0.000101553866,0.000024252531,0.000086514345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995524,0.0024384814,0.00068521436,0.0008398572,0.00010514489,0.00040730342],"domain_scores_gemma":[0.99839866,0.00009835896,0.0007001042,0.0004089987,0.00008722114,0.0003066432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016187909,0.00030565794,0.00065046677,0.000068466834,0.00047439494,0.000017159264,0.00019449243,0.00016272624,0.00006563964],"category_scores_gemma":[0.00031335122,0.00022529621,0.00021270162,0.0003892369,0.00023753963,0.000014171867,0.00014326621,0.00017447771,0.0000015385834],"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":[0.0020417094,0.0002557411,0.95630705,0.00005435874,0.0060318387,0.00002057413,0.0006368062,0.0012221199,0.0024137264,0.000025347135,0.0029193347,0.028071411],"study_design_scores_gemma":[0.0038001158,0.0012296009,0.98294055,0.000032347056,0.004379219,0.000096333795,0.0013868746,0.004273674,0.00019583703,0.00011948524,0.0011209487,0.0004250133],"about_ca_topic_score_codex":0.0042112465,"about_ca_topic_score_gemma":0.007532653,"teacher_disagreement_score":0.028054146,"about_ca_system_score_codex":0.00003655117,"about_ca_system_score_gemma":0.00026847582,"threshold_uncertainty_score":0.91873133},"labels":[],"label_agreement":null},{"id":"W3016078063","doi":"10.1158/1055-9965.epi-20-0074","title":"Pitfalls in Cancer Biomarker Discovery and Validation with Emphasis on Circulating Tumor DNA","year":2020,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"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; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Biomarker; Circulating tumor DNA; Cancer; Computational biology; Precision medicine; Medicine; Bioinformatics; Biology; Oncology; Internal medicine; Proteomics; Pathology; Genetics; Gene","score_opus":0.07748660629142981,"score_gpt":0.38742881659404144,"score_spread":0.3099422103026116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016078063","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":[0.007394903,0.9894584,0.00064901664,0.0004251379,0.00051444356,0.0011935876,0.00026244065,0.000017632947,0.00008448184],"genre_scores_gemma":[0.0030918967,0.9933908,0.00036999764,0.00047473915,0.00041759486,0.0009798039,0.001069001,0.000099392084,0.000106757056],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99626225,0.0007846519,0.0010034917,0.0013225514,0.00011488652,0.00051219313],"domain_scores_gemma":[0.9980169,0.0003837454,0.00093635125,0.000446391,0.000054224798,0.00016240274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008500741,0.0006257408,0.0015112836,0.00020654844,0.00009403904,0.000039096103,0.00024084866,0.0005159017,0.000025233041],"category_scores_gemma":[0.00047603503,0.00053866854,0.00036420615,0.00030681043,0.00020721414,0.0000183774,0.00017103243,0.00026938127,0.000005005087],"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":[0.0003129239,0.00008493599,0.0072015547,0.0025263045,0.0011496841,0.000026396236,0.000019548546,0.0000692592,0.00034352578,0.00010493157,0.0020957512,0.9860652],"study_design_scores_gemma":[0.0012910085,0.00057316554,0.004016758,0.011392843,0.0011896014,0.00005404946,0.000026951338,0.00008859254,0.00017506102,0.0003025266,0.97974885,0.0011405702],"about_ca_topic_score_codex":0.00036264726,"about_ca_topic_score_gemma":0.000677258,"teacher_disagreement_score":0.9849246,"about_ca_system_score_codex":0.00034262272,"about_ca_system_score_gemma":0.00074352545,"threshold_uncertainty_score":0.9997065},"labels":[],"label_agreement":null},{"id":"W3016186797","doi":"10.1158/1055-9965.epi-19-1085","title":"Association Analysis of Driver Gene–Related Genetic Variants Identified Novel Lung Cancer Susceptibility Loci with 20,871 Lung Cancer Cases and 15,971 Controls","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","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":"Lunenfeld-Tanenbaum Research Institute; Princess Margaret Cancer Centre; BC Cancer Agency","funders":"National Cancer Institute; National Natural Science Foundation of China; Moffitt Cancer Center; Cancer Prevention and Research Institute of Texas; World Health Organization","keywords":"Lung cancer; Gene; Genetics; Lung cancer susceptibility; Biology; Cancer; Genetic association; Genetic predisposition; Medicine; Cancer research; Genotype; Single-nucleotide polymorphism; Oncology","score_opus":0.021934014027000372,"score_gpt":0.32307963538469575,"score_spread":0.3011456213576954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016186797","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":[0.9568217,0.022500144,0.014964355,0.0036081383,0.00032016184,0.00079548947,0.0009425294,0.00002632964,0.000021192236],"genre_scores_gemma":[0.9877972,0.007030789,0.0021248083,0.00095825264,0.0001996344,0.00034622135,0.0011539264,0.000037246424,0.00035192497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99566245,0.0011714844,0.0012210073,0.0011333989,0.00017701123,0.0006346459],"domain_scores_gemma":[0.9968266,0.0005084069,0.0016071135,0.0003987242,0.00042564364,0.00023349587],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001670192,0.00038718144,0.0011773764,0.00016670511,0.00017786237,0.000013548087,0.00023476209,0.00070142606,0.00029877658],"category_scores_gemma":[0.0014115031,0.00036082912,0.00038744003,0.00066044694,0.00026002,0.00002127678,0.00013577644,0.00020753677,9.895733e-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":[0.00034660142,0.000068241905,0.8881781,0.00007695791,0.012384383,0.0000019659528,0.00009215002,0.008270067,0.08276835,0.000010592167,0.0067658615,0.0010367237],"study_design_scores_gemma":[0.001910019,0.00020109123,0.9540914,0.00005449987,0.0061698603,0.000003365091,0.000057130706,0.035569932,0.0009795651,0.000056729372,0.00051590457,0.00039050172],"about_ca_topic_score_codex":0.0029701807,"about_ca_topic_score_gemma":0.0071806246,"teacher_disagreement_score":0.081788786,"about_ca_system_score_codex":0.00030956196,"about_ca_system_score_gemma":0.0003010634,"threshold_uncertainty_score":0.99988437},"labels":[],"label_agreement":null},{"id":"W3016561788","doi":"10.1158/1055-9965.epi-20-0092","title":"Current State of Geospatial Methodologic Approaches in Canadian Population Oncology Research","year":2020,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","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":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia; Government of British Columbia; Women's Health Research Institute; Spinal Cord Injury BC; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Geospatial analysis; Population; Geography; Medicine; MEDLINE; Environmental health; Cartography; Political science","score_opus":0.8116664824229527,"score_gpt":0.6249191493694805,"score_spread":0.18674733305347224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016561788","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":[0.0003624793,0.99488956,0.00041986545,0.0010366752,0.0007682745,0.0022196001,0.0000807798,0.000023833269,0.00019892442],"genre_scores_gemma":[0.0012425354,0.9929401,0.0036588684,0.00008223364,0.00030598644,0.0007014761,0.0009952724,0.00003794816,0.000035569938],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9865595,0.009064712,0.0020407047,0.0009901959,0.0002816645,0.0010632008],"domain_scores_gemma":[0.99604774,0.0017768277,0.0010751962,0.00041314377,0.00017473774,0.00051237457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.014329824,0.00041291091,0.003591537,0.0010794305,0.00008941602,0.0000049390987,0.00033476515,0.00069496146,0.0000830004],"category_scores_gemma":[0.003193174,0.00035358424,0.00064156286,0.0011886017,0.00031425044,0.00008937358,0.00013057522,0.0014251894,0.000019600267],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021245805,0.000040891915,0.017174587,0.0054452284,0.0003433045,0.000032492513,0.000051073293,0.00001650928,3.6042482e-7,0.0001270427,0.0011285993,0.97542745],"study_design_scores_gemma":[0.000542458,0.0006576962,0.035659358,0.019173501,0.0008766762,0.00004402077,0.000039139642,0.00032609535,8.561335e-7,0.004720048,0.93762743,0.00033274366],"about_ca_topic_score_codex":0.28485033,"about_ca_topic_score_gemma":0.40032136,"teacher_disagreement_score":0.97509474,"about_ca_system_score_codex":0.004371431,"about_ca_system_score_gemma":0.0051537077,"threshold_uncertainty_score":0.99989164},"labels":[],"label_agreement":null},{"id":"W3018700298","doi":"10.1158/1055-9965.epi-19-1389","title":"Genetic and Circulating Biomarker Data Improve Risk Prediction for Pancreatic Cancer in the General Population","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":32,"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 Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Pancreatic cancer; Population; Internal medicine; Oncology; Disease; Cancer; Biomarker; Prospective cohort study; Absolute risk reduction; Family history; Confidence interval; Environmental health; Biology; Genetics","score_opus":0.15764325341791222,"score_gpt":0.44380784480767405,"score_spread":0.2861645913897618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018700298","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":[0.96277136,0.011601343,0.012931574,0.009738296,0.00025169837,0.00232111,0.0003068659,0.0000382786,0.000039457846],"genre_scores_gemma":[0.98182505,0.0049002534,0.009425036,0.0013352401,0.00062470493,0.0010455477,0.00074999314,0.000027673388,0.000066524706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969098,0.0010521373,0.00076449756,0.0007079936,0.00013873464,0.0004268381],"domain_scores_gemma":[0.9981537,0.00084563316,0.00037441656,0.00043359527,0.00006826413,0.00012440015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029312612,0.00019477283,0.00062428403,0.00009505116,0.0001795736,0.0000104452965,0.00019730299,0.00025305542,0.00006145642],"category_scores_gemma":[0.0020355533,0.00014383752,0.00009547765,0.00024403882,0.000174485,0.00013650351,0.00009399899,0.00024774793,0.000001904535],"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":[0.00056751823,0.000036243226,0.90237695,0.00022174852,0.0004104284,0.0000029651803,0.00016339871,0.00004063518,0.0016592324,0.000025574118,0.0021434405,0.092351876],"study_design_scores_gemma":[0.0015818154,0.00022089972,0.71855396,0.0001122404,0.0007164318,0.00001213498,0.000089769426,0.27703378,0.0000065870095,0.0011989041,0.0003847904,0.00008865667],"about_ca_topic_score_codex":0.002636352,"about_ca_topic_score_gemma":0.00044558223,"teacher_disagreement_score":0.27699316,"about_ca_system_score_codex":0.00016886702,"about_ca_system_score_gemma":0.00016019185,"threshold_uncertainty_score":0.5865524},"labels":[],"label_agreement":null},{"id":"W3019082788","doi":"10.1158/1055-9965.epi-20-0190","title":"Modeling the Balance of Benefits and Harms of Cervical Cancer Screening with Cytology and Human Papillomavirus Testing","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre hospitalier universitaire de Québec; McGill University; The Society of Obstetricians and Gynaecologists of Canada; Jewish General Hospital; Université de Montréal; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Colposcopy; Cytology; Human papillomavirus; Cervical screening; Gynecology; Cervical cancer; Demography; Cancer; Internal medicine; Pathology","score_opus":0.20460124263525178,"score_gpt":0.4110860109163959,"score_spread":0.20648476828114412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019082788","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":[0.93859243,0.04501917,0.00618745,0.009369607,0.000040816805,0.0005437238,0.000025718775,0.000026973654,0.00019409452],"genre_scores_gemma":[0.9946692,0.00206156,0.0022399952,0.0007824895,0.00012201,0.00008541941,0.000010025765,0.000017868988,0.000011410038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830717,0.00030249095,0.0005285685,0.00041437903,0.00013694365,0.00031042995],"domain_scores_gemma":[0.99858975,0.00062725024,0.00022447786,0.0001647578,0.00021962858,0.000174125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000890096,0.0001582748,0.00065461645,0.000055542456,0.00011380781,0.0000033233491,0.00010481214,0.00014209952,0.00016984309],"category_scores_gemma":[0.00048989075,0.000105215375,0.00006639015,0.00025304858,0.0005248133,0.000058717167,0.0001244372,0.0002676172,2.3235572e-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":[0.0011820323,0.00002544861,0.88263625,0.00053842244,0.00033766482,0.0000020644095,0.00015040649,0.0012450174,0.003683274,0.0003192292,0.0000693047,0.10981088],"study_design_scores_gemma":[0.0016568119,0.00091417687,0.9053041,0.00067615334,0.00032228077,0.000018607223,0.00016630447,0.08973021,0.0004971585,0.0005098089,0.00006366248,0.00014073527],"about_ca_topic_score_codex":0.0025284768,"about_ca_topic_score_gemma":0.0004698275,"teacher_disagreement_score":0.10967015,"about_ca_system_score_codex":0.000032869666,"about_ca_system_score_gemma":0.000101951395,"threshold_uncertainty_score":0.42905584},"labels":[],"label_agreement":null},{"id":"W3027714814","doi":"10.1158/1055-9965.epi-20-0091","title":"Associations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":32,"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","funders":"Promises for Purple; Johns Hopkins University; National Heart, Lung, and Blood Institute; Lustgarten Foundation; National Cancer Institute; National Institutes of Health; Harbin Medical University Cancer Hospital; U.S. Department of Health and Human Services; Conquer Cancer Foundation; World Health Organization; Howard Hughes Medical Institute","keywords":"Pancreatic cancer; Pancreatic ductal adenocarcinoma; Medicine; Cancer; Biomarker; Oncology; Internal medicine; Biology; Genetics","score_opus":0.07900733424002615,"score_gpt":0.39293902158136107,"score_spread":0.3139316873413349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027714814","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":[0.95426685,0.011744934,0.003518548,0.027120838,0.00010522777,0.0021795055,0.00048787732,0.00015419655,0.00042202324],"genre_scores_gemma":[0.97097707,0.009447281,0.014589688,0.0015785787,0.00080982526,0.0012495791,0.0006012004,0.000066482135,0.0006802726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99550855,0.0016980624,0.0010315796,0.00080444873,0.00024612172,0.0007112348],"domain_scores_gemma":[0.9970486,0.0011748258,0.0005916618,0.00030297833,0.00020814971,0.00067374296],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020822545,0.00031682415,0.0013344629,0.00014592712,0.0002617653,0.00001142102,0.00016187206,0.00053900934,0.00054145843],"category_scores_gemma":[0.004214818,0.00027952378,0.00022292997,0.00043961013,0.00059632905,0.000093101145,0.000115850344,0.0004933099,0.000019834559],"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":[0.0004711422,0.0000942595,0.9709955,0.00015420215,0.005170547,0.00001044218,0.00013015208,0.0000018962027,0.0028293852,0.00006771386,0.0043331934,0.015741594],"study_design_scores_gemma":[0.0033216495,0.0008992594,0.98549217,0.00035159668,0.0044734282,0.0000063936145,0.00004488697,0.0019818854,0.00034092052,0.0020237404,0.00081874843,0.00024532402],"about_ca_topic_score_codex":0.0013133665,"about_ca_topic_score_gemma":0.00014824224,"teacher_disagreement_score":0.02554226,"about_ca_system_score_codex":0.00022921385,"about_ca_system_score_gemma":0.0006562488,"threshold_uncertainty_score":0.99996567},"labels":[],"label_agreement":null},{"id":"W3033676653","doi":"10.1158/1055-9965.epi-19-1454","title":"The Diet of Higher Insulinemic Potential Is Not Associated with Worse Survival in Patients with Stage III Colon Cancer (Alliance)","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","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":"Hôpital du Sacré-Cœur de Montréal","funders":"National Center for Research Resources; National Cancer Institute; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Defense; Stand Up To Cancer; ECOG-ACRIN Cancer Research Group; American Association for Cancer Research","keywords":"Medicine; Hyperinsulinemia; Internal medicine; Colorectal cancer; Cancer; Gastroenterology; Population; Randomized controlled trial; Insulin; Insulin resistance","score_opus":0.043894369872827736,"score_gpt":0.32943326867080397,"score_spread":0.2855388987979762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033676653","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":[0.9732551,0.0050453953,0.00008397425,0.020020114,0.00036139504,0.0009102689,0.00021203728,0.000027393122,0.00008430913],"genre_scores_gemma":[0.994202,0.0024209563,0.0001436447,0.002077471,0.00013384387,0.0002088895,0.00020369858,0.000023525341,0.0005859781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998049,0.00032967704,0.0005876673,0.0004111538,0.00023823454,0.0003842431],"domain_scores_gemma":[0.9986214,0.0003095062,0.0005385638,0.00015705792,0.00025819987,0.000115255134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057285617,0.00021294129,0.000672776,0.00003146288,0.00012454668,0.0000035597702,0.00011129188,0.00016010617,0.00017197036],"category_scores_gemma":[0.00019179689,0.0001350165,0.000117115414,0.00034835952,0.00033487935,0.000063681626,0.000054366214,0.00022600168,0.0000022532822],"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":[0.020956114,0.00024479424,0.96624994,0.00008591541,0.0010443708,0.0000048059246,0.000060327122,0.000071015136,0.00010366831,0.000050676612,0.009689675,0.0014387027],"study_design_scores_gemma":[0.00882742,0.0014780249,0.9842271,0.0005386904,0.0002353136,1.2387174e-7,0.00007485593,0.00013958834,0.000054066168,0.00010170754,0.0041673644,0.00015574333],"about_ca_topic_score_codex":0.000763165,"about_ca_topic_score_gemma":0.0014017214,"teacher_disagreement_score":0.020946879,"about_ca_system_score_codex":0.0002427709,"about_ca_system_score_gemma":0.00014130099,"threshold_uncertainty_score":0.5505813},"labels":[],"label_agreement":null},{"id":"W3034711420","doi":"10.1158/1055-9965.epi-20-0275","title":"Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":"Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Cancer Council Victoria; Associazione Italiana per la Ricerca sul Cancro; National Health and Medical Research Council; Ministerstvo Zdravotnictví Ceské Republiky; Grantová Agentura České Republiky; European Cooperation in Science and Technology; Khalifa Bin Zayed Al Nahyan Foundation; Society of Memorial Sloan Kettering; Lustgarten Foundation; National Institute of Environmental Health Sciences; Ministerio de Ciencia y Tecnología; Memorial Sloan-Kettering Cancer Center; World Health Organization; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública; Mayo Clinic; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Gene; Obesity; Diabetes mellitus; Genetics; Genome; Type 2 diabetes; Medicine; Computational biology; Bioinformatics; Biology; Internal medicine; Endocrinology","score_opus":0.03172795862000713,"score_gpt":0.30430812228956733,"score_spread":0.27258016366956017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034711420","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":[0.9643388,0.030220732,0.00088045147,0.003824947,0.00017243989,0.00041665824,0.00011529988,0.00001611583,0.000014598333],"genre_scores_gemma":[0.98671967,0.0084149875,0.0016899254,0.0023370874,0.00020848382,0.000121724974,0.0004623497,0.000020749088,0.000025049994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970265,0.0010310168,0.00064595096,0.00082856975,0.000044825567,0.000423131],"domain_scores_gemma":[0.9984975,0.0006453429,0.00039210674,0.00019360484,0.000055855082,0.00021560429],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095174316,0.00026769325,0.0006145237,0.00006727241,0.00012401008,0.00001424783,0.00009451646,0.00038037737,0.00002913452],"category_scores_gemma":[0.0015398776,0.00027158187,0.000089619076,0.0000824192,0.00031059308,0.000016601683,0.00014446258,0.00014177553,0.0000016219556],"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":[0.00013337455,0.000022321263,0.91842884,0.000022222208,0.00025951763,0.0000025083987,0.00006931341,0.000042704207,0.0767219,0.000007325144,0.0006686223,0.0036213538],"study_design_scores_gemma":[0.0011290213,0.0002493496,0.99153095,0.000034257064,0.00013119388,0.000008637644,0.00018462763,0.0007507778,0.0022198579,0.0009846261,0.0025074163,0.0002692819],"about_ca_topic_score_codex":0.0008963147,"about_ca_topic_score_gemma":0.002107799,"teacher_disagreement_score":0.074502036,"about_ca_system_score_codex":0.000054086682,"about_ca_system_score_gemma":0.00007469874,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W3038098762","doi":"10.1158/1538-7755.disp18-c122","title":"Abstract C122: Ethnicity as a moderator of the effects of aerobic and resistance exercise on metabolic syndrome in breast cancer survivors","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Overweight; Aerobic exercise; Waist; Insulin resistance; Internal medicine; Metabolic syndrome; Breast cancer; Physical therapy; Endocrinology; Obesity; Cancer","score_opus":0.04419317487188756,"score_gpt":0.36530544847596846,"score_spread":0.3211122736040809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038098762","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":[0.9457581,0.03268012,0.00002616095,0.020241825,0.00030150914,0.0008892946,0.000026300479,0.000017772354,0.000058915793],"genre_scores_gemma":[0.9859552,0.011437538,0.00024666835,0.002077628,0.00003726231,0.00016916929,0.000006006753,0.000015555956,0.000055015276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981041,0.0004925302,0.00067002856,0.00035569226,0.00012212309,0.00025552147],"domain_scores_gemma":[0.998661,0.00044974938,0.00045713928,0.00021202269,0.0000720039,0.000148131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091032835,0.00016038443,0.000795465,0.00009873678,0.000049087048,0.000001423262,0.00009455427,0.00017514495,0.000067190274],"category_scores_gemma":[0.00034133997,0.00012315872,0.00014122126,0.00032569122,0.00022178193,0.00005476599,0.000033811873,0.00027362135,0.0000014224557],"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":[0.005097731,0.00035874496,0.9430872,0.009574922,0.0003795191,0.0000215106,0.00060296705,0.000032214517,0.02628351,0.0012481969,0.0023038846,0.011009571],"study_design_scores_gemma":[0.0017495817,0.00008687261,0.9883116,0.005035934,0.0001437064,0.000007126407,0.000035279405,0.0000840738,0.0025546607,0.0017414856,0.00015471669,0.0000949595],"about_ca_topic_score_codex":0.0017363909,"about_ca_topic_score_gemma":0.000889385,"teacher_disagreement_score":0.045224376,"about_ca_system_score_codex":0.0000859029,"about_ca_system_score_gemma":0.00017373155,"threshold_uncertainty_score":0.5022267},"labels":[],"label_agreement":null},{"id":"W3041307129","doi":"10.1158/1055-9965.epi-19-1018","title":"Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Toronto General Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; Instituto de Salud Carlos III; Agència de Gestió d'Ajuts Universitaris i de Recerca; Damon Runyon Cancer Research Foundation; California Department of Public Health; Canadian Institutes of Health Research; Consejería de Educación, Junta de Castilla y León; U.S. Public Health Service; U.S. Department of Health and Human Services; Junta de Castilla y León; National Institutes of Health; Foundation for the National Institutes of Health; Cancer Research UK; Fred Hutchinson Cancer Research Center","keywords":"Colorectal cancer; Nonsteroidal; Single-nucleotide polymorphism; Medicine; Cancer; Gene; Gene expression; Genome; Oncology; Internal medicine; Bioinformatics; Genetics; Biology; Genotype","score_opus":0.027350949175303316,"score_gpt":0.316735973155048,"score_spread":0.28938502397974464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041307129","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":[0.99211097,0.003885007,0.0013252557,0.00094649784,0.0006542428,0.0008178052,0.00012578147,0.00009813743,0.000036320715],"genre_scores_gemma":[0.9942961,0.0035532424,0.0003614187,0.0008056629,0.00035774897,0.00029228022,0.00027995,0.000036770496,0.000016847705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965065,0.0012074107,0.0009576158,0.00072385895,0.00021743924,0.00038718095],"domain_scores_gemma":[0.99738854,0.00074211793,0.0009974348,0.00026863805,0.0001523783,0.00045086414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013525344,0.00033584947,0.0011529817,0.00045198182,0.00012762149,0.000005807607,0.00010786087,0.0003514044,0.0002356784],"category_scores_gemma":[0.0010114085,0.00029504835,0.0003861596,0.0005391281,0.00027524756,0.00018843358,0.00007962123,0.00038708313,0.0000069046796],"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":[0.0027476775,0.00007337756,0.8776866,0.0002626106,0.0029268565,0.000011989178,0.00092544087,0.00063474633,0.10936548,0.0000030334106,0.0014446987,0.00391749],"study_design_scores_gemma":[0.0020731087,0.0005953859,0.9273938,0.000409741,0.0031471376,0.000002441703,0.0002774006,0.008556715,0.056604866,0.00002527309,0.000642421,0.00027173653],"about_ca_topic_score_codex":0.00008298552,"about_ca_topic_score_gemma":0.00004743373,"teacher_disagreement_score":0.05276061,"about_ca_system_score_codex":0.00020217735,"about_ca_system_score_gemma":0.00022603227,"threshold_uncertainty_score":0.9999502},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3044194735","doi":"10.1158/1055-9965.epi-20-0515","title":"Tattoos and Hematologic Malignancies in British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Tattoo and Body Piercing Complications","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia; Spinal Cord Injury BC; BC Cancer Agency","funders":"BC Cancer Agency; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Multiple myeloma; Medicine; Lymphoma; Logistic regression; Internal medicine; Population; Oncology; Environmental health","score_opus":0.07298725627839442,"score_gpt":0.34470590139571833,"score_spread":0.2717186451173239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044194735","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":[0.95117813,0.0067928317,0.00054784026,0.039845582,0.00034134724,0.000466775,0.000025910846,0.000067665955,0.00073392875],"genre_scores_gemma":[0.99402374,0.0019084947,0.0007120949,0.0026764653,0.00009066449,0.00013346228,0.000018200744,0.0000066774987,0.00043018622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982081,0.0006620429,0.00034919375,0.00035455413,0.00008123157,0.00034486502],"domain_scores_gemma":[0.99912655,0.00042646824,0.00015564587,0.000085183754,0.000045833258,0.00016032474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008685739,0.00006761006,0.00028032222,0.000028546301,0.00032086414,0.000035768124,0.00015212191,0.00011741435,0.00019724],"category_scores_gemma":[0.0010332468,0.00010675499,0.00004256126,0.00037508033,0.00035671788,0.00010524924,0.000041553703,0.00010454972,0.0000028899499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004652079,0.00001078791,0.9256713,0.000023055103,0.00002474457,0.000006980706,0.00026802585,0.000003980239,0.000060642124,0.00048108486,0.065341264,0.008103527],"study_design_scores_gemma":[0.00025042184,0.00002297146,0.9420062,0.00010153677,0.000020590935,0.0000040550663,0.0012721017,0.00010456015,0.000003292923,0.007606643,0.0484475,0.0001601819],"about_ca_topic_score_codex":0.9654477,"about_ca_topic_score_gemma":0.9985027,"teacher_disagreement_score":0.042845637,"about_ca_system_score_codex":0.00015894693,"about_ca_system_score_gemma":0.00056325854,"threshold_uncertainty_score":0.4353342},"labels":[],"label_agreement":null},{"id":"W3044274263","doi":"10.1158/1055-9965.epi-20-0248","title":"Genetic Determinants of Lung Cancer Prognosis in Never Smokers: A Pooled Analysis in the International Lung Cancer Consortium","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; University of Toronto; Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; National Institute on Handicapped Research; National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas; World Health Organization; Mayo Clinic","keywords":"Expression quantitative trait loci; Lung cancer; Oncology; Genome-wide association study; Genotype; Adenocarcinoma; Quantitative trait locus; Lung; Internal medicine; Locus (genetics); Lung cancer susceptibility; Allele; Medicine; Biology; Cancer; Gene; Single-nucleotide polymorphism; Genetics","score_opus":0.03901690318226759,"score_gpt":0.37106126597160216,"score_spread":0.3320443627893346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044274263","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":[0.96398365,0.027259035,0.0013312097,0.0063347,0.00028779605,0.00065240834,0.00010266324,0.000007326635,0.000041185467],"genre_scores_gemma":[0.98931044,0.006792053,0.00035044824,0.0016826018,0.00018078517,0.0014855027,0.000108821565,0.00001736775,0.000071973205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974279,0.00058581115,0.0008557963,0.0006425442,0.00013969778,0.00034828976],"domain_scores_gemma":[0.9989307,0.000081351485,0.0005140647,0.00028740257,0.00011462139,0.00007184735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084904674,0.00021463976,0.00046820633,0.00017916247,0.000046306843,0.0000106203415,0.000489324,0.00023482602,0.00022405124],"category_scores_gemma":[0.00020166281,0.00018125381,0.00028415138,0.0006635454,0.0001697711,0.000021422858,0.000090431866,0.00014827501,6.4717335e-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":[0.0002568888,0.000071794915,0.97454596,0.000063883715,0.0012672312,0.0000029426647,0.00016297489,0.0025040847,0.008845022,0.000012528288,0.0034180745,0.008848616],"study_design_scores_gemma":[0.00088791305,0.000058170084,0.965297,0.0001185348,0.0008239572,0.0000014133769,0.00011928771,0.028456494,0.0027077408,0.00004644472,0.0012627061,0.00022037828],"about_ca_topic_score_codex":0.0028995594,"about_ca_topic_score_gemma":0.0077181323,"teacher_disagreement_score":0.025952408,"about_ca_system_score_codex":0.00014656654,"about_ca_system_score_gemma":0.00028151803,"threshold_uncertainty_score":0.73913157},"labels":[],"label_agreement":null},{"id":"W3048482545","doi":"10.1158/1538-7755.disp18-c123","title":"Abstract C123: Ethnocentric differences in sarcopenic obesity and body composition in response to an aerobic and resistance exercise intervention for breast cancer survivors","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Sarcopenic obesity; Overweight; Breast cancer; Aerobic exercise; Body mass index; Obesity; Lean body mass; Physical therapy; Cancer; Sarcopenia; Internal medicine; Cardiorespiratory fitness","score_opus":0.08233908230282426,"score_gpt":0.40435932514648215,"score_spread":0.3220202428436579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048482545","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":[0.958427,0.010121192,0.0007755672,0.0288572,0.00017278916,0.0015469689,0.00005971779,0.00003454888,0.0000050282315],"genre_scores_gemma":[0.9928952,0.0035503863,0.0016839085,0.0012536023,0.000065468805,0.00043297102,0.000065378175,0.000016193519,0.00003689473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974953,0.00075841695,0.00072321057,0.00058519264,0.000079636586,0.00035823497],"domain_scores_gemma":[0.9988652,0.0004043949,0.00023835823,0.00012470035,0.00007184575,0.00029552242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025322097,0.00018071837,0.00060918805,0.00028322663,0.00009101082,0.00001117277,0.000071266106,0.00018288822,0.00007225172],"category_scores_gemma":[0.00020247392,0.00018161412,0.00007053749,0.00033423008,0.000105697945,0.0001862861,0.000030162148,0.00021588031,0.0000013787641],"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":[0.021215463,0.00022631595,0.94693726,0.0013416864,0.00003594289,0.000007359596,0.00044119838,0.0000033796666,0.007593043,0.00005016319,0.0004374669,0.02171074],"study_design_scores_gemma":[0.0034566976,0.00023494598,0.99103504,0.0030754092,0.000055520624,0.0000049517485,0.00021706264,0.000555463,0.0001308596,0.0009721362,0.00010282664,0.00015909984],"about_ca_topic_score_codex":0.0013209366,"about_ca_topic_score_gemma":0.007267405,"teacher_disagreement_score":0.044097785,"about_ca_system_score_codex":0.00029365422,"about_ca_system_score_gemma":0.000085387204,"threshold_uncertainty_score":0.7406009},"labels":[],"label_agreement":null},{"id":"W3048512994","doi":"10.1158/1538-7755.disp18-c060","title":"Abstract C060: The spectrum of germline mutation carriers in a cohort of breast and ovarian cancer patients in the Caribbean","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Breast cancer; Medicine; Ovarian cancer; Cancer; Population; Cohort; Demography; Gynecology; Obstetrics; Internal medicine; Environmental health","score_opus":0.02114710191187197,"score_gpt":0.31541492909110885,"score_spread":0.2942678271792369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048512994","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":[0.9873404,0.0037263667,0.00022649832,0.007694408,0.00017219326,0.0006310594,0.0001373211,0.0000030081435,0.00006877075],"genre_scores_gemma":[0.99781185,0.0010753032,0.00014118975,0.00050005387,0.00009070727,0.00018795778,0.00017503789,0.000012295542,0.0000056202125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825567,0.0004846102,0.0006078025,0.00035291014,0.000093928786,0.00020510478],"domain_scores_gemma":[0.9991438,0.000114275404,0.00041958812,0.000215778,0.000068172514,0.00003843081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178956,0.00013893476,0.00027096647,0.000058169695,0.000038053015,0.0000032560367,0.00020852803,0.00016383747,0.000028465634],"category_scores_gemma":[0.00024349091,0.00010240896,0.000086125096,0.00025360676,0.00029315776,0.000009767801,0.000052184045,0.00013584242,2.555046e-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":[0.00033178224,0.0000516804,0.9809496,0.00007067517,0.00021522355,8.746416e-7,0.00063240563,0.0008555917,0.007969758,0.00007024182,0.00095272524,0.007899442],"study_design_scores_gemma":[0.0008801792,0.00010932672,0.9947404,0.000060356553,0.000060843602,0.0000028616596,0.00035996299,0.00029433516,0.0025453574,0.00055796787,0.00028652948,0.0001018578],"about_ca_topic_score_codex":0.00302777,"about_ca_topic_score_gemma":0.005275793,"teacher_disagreement_score":0.013790821,"about_ca_system_score_codex":0.00008837379,"about_ca_system_score_gemma":0.00021030524,"threshold_uncertainty_score":0.45771027},"labels":[],"label_agreement":null},{"id":"W3048634146","doi":"10.1158/1538-7755.disp18-a075","title":"Abstract A075: Gender diversity in academic oncology programs","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiation oncology; Medicine; Gynecologic oncology; Internal medicine; Oncology; Workforce; Diversity (politics); Family medicine; Radiation therapy","score_opus":0.24065221059627914,"score_gpt":0.4973654104976621,"score_spread":0.25671319990138297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048634146","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":[0.8505994,0.050019648,0.012126727,0.077240616,0.0027675987,0.002534945,0.000012390244,0.0003363262,0.0043623457],"genre_scores_gemma":[0.9668239,0.010285712,0.007857649,0.013689096,0.0008357983,0.00017052042,0.00009307417,0.000027251197,0.00021703572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976015,0.0005292211,0.00065838214,0.0006006083,0.0000966486,0.00051360304],"domain_scores_gemma":[0.99867594,0.00047370596,0.00036381683,0.00018182462,0.000047539746,0.00025714727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014919619,0.00021528146,0.00074693374,0.00010306279,0.00013191065,0.0000011735642,0.00020126863,0.00080118293,0.0005032741],"category_scores_gemma":[0.0004843954,0.00019308027,0.00020795874,0.00027357152,0.00048281706,0.0001419023,0.0001328617,0.00084064424,0.000043260934],"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":[0.0017000361,0.00014736233,0.78652686,0.000102434984,0.00033846154,0.00006106253,0.00047851884,0.000036561378,0.0007665923,0.00024295678,0.0064133727,0.2031858],"study_design_scores_gemma":[0.004049183,0.0008948639,0.9220382,0.00016786729,0.00017614201,0.000044079112,0.00025970984,0.00045618345,0.00008481298,0.0088518215,0.06271278,0.00026433295],"about_ca_topic_score_codex":0.00007388092,"about_ca_topic_score_gemma":0.00008135648,"teacher_disagreement_score":0.20292147,"about_ca_system_score_codex":0.00064471766,"about_ca_system_score_gemma":0.00029109206,"threshold_uncertainty_score":0.7873585},"labels":[],"label_agreement":null},{"id":"W3048856809","doi":"10.1158/1538-7755.disp18-b037","title":"Abstract B037: The role of HIV status in health-related quality of life in gay and bisexual prostate cancer survivors: Findings from the Restore study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Quality of life (healthcare); Cancer; Gerontology; Gynecology; Demography; Internal medicine","score_opus":0.087958490495278,"score_gpt":0.39227705977928434,"score_spread":0.30431856928400636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048856809","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":[0.9232134,0.055859536,0.0000035152257,0.019224364,0.00013200239,0.0013701845,0.0001494109,0.000014996623,0.000032560652],"genre_scores_gemma":[0.9938818,0.0048546474,0.000022441003,0.0009181937,0.000031443542,0.00017166474,0.00008121716,0.000017538894,0.000021040643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954958,0.0018420698,0.0016247063,0.00045284085,0.0001760429,0.00040852858],"domain_scores_gemma":[0.99751055,0.0010031973,0.0010423415,0.00024046388,0.000064211075,0.00013926018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040702745,0.00019276916,0.00094733114,0.000075480726,0.00006511097,0.0000034359653,0.00013788088,0.00017773255,0.00009849913],"category_scores_gemma":[0.0016094889,0.00012859965,0.00010679183,0.00047643075,0.000303753,0.00007697724,0.00005899652,0.0003912716,8.066413e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025491682,0.00018288684,0.97979647,0.00013413905,0.000374306,0.0000010054581,0.0072999867,0.00016106524,0.00058776344,0.00002794592,0.0009922876,0.007892991],"study_design_scores_gemma":[0.0041991537,0.0003301695,0.9805489,0.00033604022,0.00006091841,1.0519486e-7,0.012527163,0.00026320943,0.00002239261,0.0013563292,0.00024968633,0.00010594336],"about_ca_topic_score_codex":0.22651283,"about_ca_topic_score_gemma":0.090004556,"teacher_disagreement_score":0.13650827,"about_ca_system_score_codex":0.00026477885,"about_ca_system_score_gemma":0.0005944619,"threshold_uncertainty_score":0.9266005},"labels":[],"label_agreement":null},{"id":"W3048934119","doi":"10.1158/1538-7755.disp18-b096","title":"Abstract B096: Responding to stakeholder needs for cancer screening and prevention: Using formative evaluation to tailor outreach and navigation programming in Connecticut","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Public Health Policies and Education","field":"Health Professions","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":"Inro Consultants (Canada)","funders":"","keywords":"Outreach; Stakeholder; Baseline (sea); Formative assessment; Population; Health equity; Cancer prevention; Implementation research; Medical education; Medicine; Business; Public relations; Psychology; Nursing; Political science; Environmental health; Public health; Cancer; Psychological intervention","score_opus":0.44814522613152113,"score_gpt":0.5720769681829189,"score_spread":0.12393174205139773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048934119","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":[0.8821779,0.0015323578,0.047216054,0.06258551,0.00073037494,0.005633985,0.00004011897,0.000049373313,0.000034352528],"genre_scores_gemma":[0.9632152,0.0001634391,0.022643443,0.007141179,0.0007673625,0.0057037626,0.00020868609,0.000041965683,0.00011500013],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99595195,0.0014232461,0.0011499793,0.00050898694,0.00015265448,0.00081319094],"domain_scores_gemma":[0.9972542,0.0012212195,0.00063915143,0.00013918849,0.0003302608,0.00041598498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00845283,0.0002186646,0.00047632877,0.0005639963,0.0006671216,0.00001962674,0.000089328154,0.00028545182,0.00006932268],"category_scores_gemma":[0.0025095416,0.00022174459,0.00005843475,0.0009461741,0.000052975087,0.000598372,0.000091404385,0.00030403762,0.0000028768145],"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":[0.0015217375,0.00005754651,0.21708772,0.0017452559,0.00022890941,4.021254e-7,0.04926583,0.0013907149,0.0019350809,0.0010199798,0.007867097,0.7178797],"study_design_scores_gemma":[0.007041033,0.0011482551,0.7725468,0.008278808,0.00048206214,0.000005324561,0.06847427,0.06367013,0.0001270037,0.0065791765,0.070557036,0.0010901014],"about_ca_topic_score_codex":0.0020459471,"about_ca_topic_score_gemma":0.0008892626,"teacher_disagreement_score":0.7167896,"about_ca_system_score_codex":0.00079845474,"about_ca_system_score_gemma":0.00053224084,"threshold_uncertainty_score":0.90424824},"labels":[],"label_agreement":null},{"id":"W3080183763","doi":"10.1158/1055-9965.epi-20-0026","title":"Genetics of Smoking Behaviors in American Indians","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Cotinine; Nicotine; Smoking cessation; Single-nucleotide polymorphism; Medicine; Population; Psychological intervention; Genetics; Demography; Genotype; Environmental health; Gene; Biology; Internal medicine; Psychiatry","score_opus":0.09535901042966205,"score_gpt":0.40798056176907616,"score_spread":0.3126215513394141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080183763","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":[0.994179,0.0011046608,0.001009343,0.003088785,0.00020040915,0.0003121555,0.000008182972,0.000032905944,0.000064549036],"genre_scores_gemma":[0.99776334,0.0004984512,0.00074434746,0.0007420581,0.00007823232,0.000064226726,0.00007433007,0.000016950122,0.000018082976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850637,0.00028043234,0.0005694801,0.00030554557,0.00010308884,0.00023510348],"domain_scores_gemma":[0.99920505,0.00010613944,0.00037148493,0.00015959534,0.000047381844,0.000110348774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062233926,0.00012269379,0.00046352393,0.00013356016,0.000023037303,0.0000014798164,0.00007969735,0.00014320399,0.000114455775],"category_scores_gemma":[0.00022003525,0.00012326172,0.00013317502,0.00039563476,0.00021460326,0.00004056032,0.00002639259,0.0001873027,0.0000011552589],"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":[0.00012531197,0.00005691074,0.9249992,0.000045066343,0.00006249835,0.0000054908696,0.00028314578,0.000026000838,0.0037564132,0.000017546487,0.0003181466,0.070304275],"study_design_scores_gemma":[0.00078966294,0.00031798746,0.9955754,0.00015527631,0.00023852475,0.000003891419,0.0002462564,0.00014341167,0.002019589,0.00014380847,0.00027351957,0.00009263225],"about_ca_topic_score_codex":0.0005226748,"about_ca_topic_score_gemma":0.000095708325,"teacher_disagreement_score":0.07057624,"about_ca_system_score_codex":0.00014188941,"about_ca_system_score_gemma":0.00010394541,"threshold_uncertainty_score":0.5026467},"labels":[],"label_agreement":null},{"id":"W3080811942","doi":"10.1158/1055-9965.epi-20-0646","title":"Asian Race and Risk of Prostate Cancer: Results from the REDUCE Study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","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":"Trinity College","funders":"Irish Cancer Society; Queen's University Belfast; Queen's University; GlaxoSmithKline; American Cancer Society","keywords":"Medicine; Dutasteride; Prostate cancer; Prostate biopsy; Prostate; Confidence interval; Internal medicine; Cancer; Odds ratio; Body mass index; Confounding; Urology; Gynecology","score_opus":0.061389149377150946,"score_gpt":0.37008451525190217,"score_spread":0.3086953658747512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080811942","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":[0.89166874,0.040928587,0.000042079897,0.0644473,0.0002903062,0.0019178966,0.0005954214,0.000038097405,0.00007155274],"genre_scores_gemma":[0.9525651,0.045091927,0.00041556184,0.000830473,0.00023506786,0.0005887542,0.0001456218,0.000021558486,0.000105983156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971871,0.00097010896,0.0007685519,0.00067240384,0.0001202034,0.00028163157],"domain_scores_gemma":[0.9978399,0.00078608986,0.00072135805,0.00036526896,0.00009642019,0.00019090742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012200435,0.00022258358,0.0006941017,0.000030876457,0.00011867632,0.000005907337,0.00011148571,0.00010670677,0.000059326987],"category_scores_gemma":[0.0009588365,0.00014657761,0.00014545301,0.00020643076,0.00024636346,0.00007162603,0.00008122616,0.00021440949,0.0000038417024],"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":[0.0032232506,0.00018623754,0.86413854,0.00003787011,0.0020385033,0.000007638954,0.0024641992,0.000019208212,0.00021878644,0.000011149646,0.012228056,0.11542655],"study_design_scores_gemma":[0.006040106,0.0012646463,0.98317665,0.00038578673,0.001606447,0.0000017413205,0.0013648261,0.0001866591,0.0009386683,0.0007638425,0.004134584,0.00013606047],"about_ca_topic_score_codex":0.0065892227,"about_ca_topic_score_gemma":0.0010064907,"teacher_disagreement_score":0.11903808,"about_ca_system_score_codex":0.0001456883,"about_ca_system_score_gemma":0.00019629349,"threshold_uncertainty_score":0.99609774},"labels":[],"label_agreement":null},{"id":"W3081040008","doi":"10.1158/1055-9965.epi-20-0595","title":"Association of Known Melanoma Risk Factors with Primary Melanoma of the Scalp and Neck","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","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":"Quest University Canada","funders":"National Cancer Institute; National Health and Medical Research Council; Society of Memorial Sloan Kettering; Cancer Institute NSW; Memorial Sloan-Kettering Cancer Center; University of North Carolina","keywords":"Melanoma; Medicine; Odds ratio; Scalp; Confidence interval; Internal medicine; Trunk; Eye color; Oncology; Dermatology; Gastroenterology; Cancer research; Gene; Biology; Genetics","score_opus":0.024259721319856677,"score_gpt":0.2804831207008894,"score_spread":0.2562233993810327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081040008","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":[0.9904803,0.0014967062,0.00072475104,0.00566265,0.00024803958,0.00064794417,0.000024304096,0.00003119997,0.00068407395],"genre_scores_gemma":[0.9971893,0.000697041,0.00074621505,0.00044225645,0.00006934308,0.000027483282,0.000025072555,0.000015027254,0.0007882707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838406,0.00048373584,0.00050566805,0.0002931829,0.0001479484,0.00018537969],"domain_scores_gemma":[0.9984154,0.00030073078,0.0008988406,0.00020039217,0.0000871703,0.00009748062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006374871,0.00014832409,0.0005260281,0.0000617435,0.00006347655,0.0000022006313,0.00008074943,0.00015696039,0.000105918734],"category_scores_gemma":[0.0005208315,0.00009669022,0.00016404939,0.00022096084,0.00014240305,0.000044751763,0.00006733336,0.00015855164,0.0000018110247],"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":[0.00070126646,0.00004983066,0.9810938,0.00021829702,0.0010208512,0.0000012971005,0.00016172677,0.00001731917,0.0019084068,0.00005545804,0.00371596,0.011055762],"study_design_scores_gemma":[0.0013455761,0.00076717784,0.98889005,0.00018242605,0.00079555117,0.0000090924505,0.00013058759,0.00029708227,0.002045202,0.000227709,0.0052114143,0.000098118006],"about_ca_topic_score_codex":0.00028283926,"about_ca_topic_score_gemma":0.0001451174,"teacher_disagreement_score":0.010957643,"about_ca_system_score_codex":0.00016742828,"about_ca_system_score_gemma":0.000078482415,"threshold_uncertainty_score":0.39429128},"labels":[],"label_agreement":null},{"id":"W3081539449","doi":"10.1158/1538-7755.disp19-d114","title":"Abstract D114: VIitamin D signaling of immune-related genes in diverse prostate cancer cancer cell lines","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","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":"Biotechnology Research Institute","funders":"","keywords":"DU145; Vitamin D and neurology; Prostate cancer; Immune system; Calcitriol receptor; CYP24A1; vitamin D deficiency; LNCaP; Inflammation; Biology; Endocrinology; Internal medicine; Cancer research; Immunology; Cancer; Medicine","score_opus":0.07556392115830915,"score_gpt":0.38928161353041396,"score_spread":0.3137176923721048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081539449","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":[0.8268057,0.16303821,0.00005107259,0.008198318,0.00047304,0.0011284397,0.0000876633,0.00005948357,0.0001580694],"genre_scores_gemma":[0.9471215,0.05060227,0.0004923629,0.00034445713,0.00019302842,0.0005959421,0.00008007517,0.000041608633,0.0005287384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99643916,0.00051549415,0.0014332803,0.0006933547,0.00023989745,0.00067883247],"domain_scores_gemma":[0.9979832,0.0005004428,0.0007543435,0.0002590578,0.00028291458,0.00022001464],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001687332,0.0003403191,0.0011078186,0.00016818577,0.00010006038,0.000004466579,0.0002091888,0.00030367734,0.0009403128],"category_scores_gemma":[0.0006318432,0.00029194972,0.0003551185,0.00049873284,0.00044963087,0.00018473344,0.00017691082,0.0004017485,0.0000135766795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008534388,0.00017597129,0.6810325,0.0014778331,0.0010735854,0.000036146346,0.0010837124,0.0011575539,0.25893795,0.0000096887015,0.0027387866,0.051422812],"study_design_scores_gemma":[0.004197432,0.00037074284,0.9371003,0.0020617873,0.00042187067,0.000002377138,0.0013402048,0.0015393362,0.051401306,0.00031036744,0.0008743175,0.0003799687],"about_ca_topic_score_codex":0.007024334,"about_ca_topic_score_gemma":0.0014639908,"teacher_disagreement_score":0.25606778,"about_ca_system_score_codex":0.00045705363,"about_ca_system_score_gemma":0.00042088755,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W3081603476","doi":"10.1158/1538-7755.disp19-a053","title":"Abstract A053: Association between socioeconomic status and access to specialized cancer consultation and treatment among advanced gastrointestinal cancers","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"Occupational Cancer Research Centre; University of Manitoba; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Cancer; Internal medicine; Socioeconomic status; Cohort; Gastrointestinal cancer; Population; Radiation therapy; Retrospective cohort study; Cancer registry; Oncology; Proportional hazards model; Colorectal cancer; Environmental health","score_opus":0.13929191648487113,"score_gpt":0.4271027426282108,"score_spread":0.28781082614333964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081603476","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":[0.9801881,0.0036310733,0.0006258486,0.01391675,0.0001973506,0.0011215564,0.000115631236,0.000067406494,0.00013632677],"genre_scores_gemma":[0.9906882,0.0041545173,0.0018784442,0.0021255058,0.00050412264,0.00037241148,0.0001439215,0.000025195182,0.00010769854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977824,0.00020404614,0.00065553223,0.0006791754,0.00012550778,0.00055335404],"domain_scores_gemma":[0.998055,0.000532475,0.0006094997,0.00011725977,0.00014176442,0.00054399617],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058864953,0.0002791519,0.00075066445,0.00009180137,0.00014758394,0.000033575885,0.000077753255,0.00015452015,0.00024372562],"category_scores_gemma":[0.0007953634,0.00027166013,0.0001144578,0.0001481153,0.0001447358,0.00036445263,0.00005560058,0.0001735718,0.00000847591],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010837938,0.00000933747,0.9002498,0.000056914283,0.00041867406,0.000003787,0.00028006843,0.00018873952,0.0007909018,0.000008829346,0.0019684692,0.09494072],"study_design_scores_gemma":[0.0036375795,0.0005601082,0.9916114,0.0004453921,0.00043316686,0.0000029817493,0.00029573252,0.00035228176,0.0002542853,0.00022427537,0.0019614291,0.0002213552],"about_ca_topic_score_codex":0.008437136,"about_ca_topic_score_gemma":0.004827882,"teacher_disagreement_score":0.094719365,"about_ca_system_score_codex":0.0026211822,"about_ca_system_score_gemma":0.00045957186,"threshold_uncertainty_score":0.99997354},"labels":[],"label_agreement":null},{"id":"W3081686198","doi":"10.1158/1538-7755.disp19-d013","title":"Abstract D013: EHE Foundation","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vascular Tumors and Angiosarcomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Foundation (evidence); Ethnic group; Cancer; Family medicine; Library science; Political science; Internal medicine; Law","score_opus":0.11223013151338161,"score_gpt":0.38644346358823845,"score_spread":0.2742133320748568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081686198","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":[0.8122623,0.021584902,0.020984054,0.13820691,0.0013490843,0.001496603,0.000012951121,0.0004118446,0.0036913592],"genre_scores_gemma":[0.9896968,0.0007884283,0.0028043813,0.0053381445,0.0006397882,0.00007803646,0.00025860808,0.000027097401,0.00036870938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848264,0.00020103884,0.00048669137,0.00042273622,0.000100625264,0.00030628074],"domain_scores_gemma":[0.9991494,0.00012436081,0.00022550626,0.00020708502,0.00006451833,0.00022913089],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078158604,0.00016460055,0.0004329129,0.00005845503,0.00008252926,0.000005895951,0.000086042346,0.00015954564,0.0011987848],"category_scores_gemma":[0.00052252307,0.00014405725,0.00036434474,0.00017550898,0.00010687756,0.000113169,0.00003389363,0.00017941602,0.00022425802],"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":[0.00082456355,0.00018463678,0.6176378,0.0004551502,0.0013583984,0.000055451826,0.00018934351,0.000037815997,0.02191336,0.0013508088,0.06817017,0.28782248],"study_design_scores_gemma":[0.0019076761,0.00028675722,0.916459,0.0002932364,0.00034264626,0.000027306523,0.000081707534,0.0013808544,0.0008610736,0.0032694137,0.07483817,0.0002521461],"about_ca_topic_score_codex":0.000093643765,"about_ca_topic_score_gemma":0.00001983591,"teacher_disagreement_score":0.2988212,"about_ca_system_score_codex":0.00009586787,"about_ca_system_score_gemma":0.00011514908,"threshold_uncertainty_score":0.99971426},"labels":[],"label_agreement":null},{"id":"W3081694951","doi":"10.1158/1538-7755.disp19-b110","title":"Abstract B110: Racial disparities in pancreatic adenocarcinoma survival. Do they exist for patients who already survived their first year?","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","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":"Alberta Cancer Foundation","funders":"","keywords":"Medicine; Concordance; Proportional hazards model; Epidemiology; Hazard ratio; Stage (stratigraphy); Internal medicine; Relative survival; Survival analysis; Population; Pacific islanders; Pancreatic cancer; Surveillance, Epidemiology, and End Results; Oncology; Adenocarcinoma; Demography; Cancer; Cancer registry; Confidence interval","score_opus":0.11877803500885711,"score_gpt":0.39149241710004395,"score_spread":0.2727143820911868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081694951","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":[0.98173404,0.004459755,0.0004331428,0.008620042,0.0004754711,0.0023304634,0.00018703466,0.00006237966,0.0016976871],"genre_scores_gemma":[0.9944814,0.0020363394,0.00077472033,0.00056047924,0.00039791304,0.00084414444,0.00055104285,0.000045910514,0.00030809036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966091,0.00074455666,0.00097585004,0.0007239858,0.00018790316,0.00075860805],"domain_scores_gemma":[0.9962063,0.0025600782,0.00037228173,0.00035064216,0.00019307205,0.00031762116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021808934,0.0003342265,0.0014386419,0.00014911189,0.0001692911,0.000012876302,0.00023908295,0.00042072166,0.00021576179],"category_scores_gemma":[0.0029629506,0.0002779147,0.00031373257,0.0001925657,0.00033983815,0.00013034487,0.00008917689,0.00035058844,0.000031394065],"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":[0.0033586845,0.00024622094,0.98625565,0.00048728133,0.00057719223,0.0000069025023,0.00054374995,0.0000043068444,0.000048417427,0.0005732134,0.0050135083,0.0028848485],"study_design_scores_gemma":[0.004932138,0.0007726167,0.98481333,0.00045344126,0.00025730507,0.0000014085217,0.00033480822,0.00039202507,0.000018105602,0.0067494866,0.0010350972,0.00024024876],"about_ca_topic_score_codex":0.0014178689,"about_ca_topic_score_gemma":0.0020689997,"teacher_disagreement_score":0.012747336,"about_ca_system_score_codex":0.0003422717,"about_ca_system_score_gemma":0.00031008755,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W3081845112","doi":"10.1158/1538-7755.disp19-c003","title":"Abstract C003: Sociodemographic and clinical characteristics associated with worst pain intensity among cancer patients","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Ethnic group; Cancer; Demography; Cancer pain; Intensity (physics); Multinomial logistic regression; Physical therapy; Gerontology; Internal medicine","score_opus":0.06295420631311874,"score_gpt":0.35273181363502254,"score_spread":0.28977760732190383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081845112","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":[0.98975706,0.00096105726,0.00068117626,0.007333198,0.00035700572,0.0007331734,0.000026342226,0.00010568114,0.000045309826],"genre_scores_gemma":[0.99063057,0.0020349696,0.00023655084,0.006236683,0.00024478594,0.00007669416,0.00039140758,0.00002830208,0.00012004396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972717,0.00080687506,0.00079490914,0.00059119385,0.00013411044,0.00040120026],"domain_scores_gemma":[0.99787617,0.0007551229,0.00069793186,0.00017186995,0.00018708827,0.0003118136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003315612,0.0002525638,0.000814746,0.00008172001,0.0001200821,0.000009548564,0.00009659956,0.00033056736,0.000114120434],"category_scores_gemma":[0.0030186188,0.00020846173,0.00021063292,0.0002448456,0.00051610864,0.00010673798,0.00006701021,0.00042359956,0.00000443257],"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":[0.00079097913,0.00015612763,0.9632104,0.000117887554,0.0013321287,0.000008881572,0.00006544545,6.78262e-7,0.000016001844,0.000005514644,0.014057278,0.020238666],"study_design_scores_gemma":[0.001968039,0.00044218064,0.99345684,0.0006427628,0.0006394376,1.09049196e-7,0.000045745932,0.0017518541,0.000002558919,0.00014394247,0.00069335155,0.00021315858],"about_ca_topic_score_codex":0.00015106532,"about_ca_topic_score_gemma":0.00026905112,"teacher_disagreement_score":0.030246448,"about_ca_system_score_codex":0.0001231586,"about_ca_system_score_gemma":0.0000795517,"threshold_uncertainty_score":0.8500823},"labels":[],"label_agreement":null},{"id":"W3081928522","doi":"10.1158/1538-7755.disp19-d008","title":"Abstract D008: Resolving disparities in cancer patient outcomes in Trinidad and Tobago","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Cancer; Caribbean region; Medicine; Breast cancer; Mortality rate; Health care; Service (business); Geography; Family medicine; Economic growth; Latin Americans; Political science; Environmental health; Business; Population; Internal medicine; Marketing","score_opus":0.08856062152438805,"score_gpt":0.36774926610383807,"score_spread":0.27918864457945003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081928522","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":[0.73925513,0.00647177,0.00004962957,0.2521521,0.00069070846,0.0005088455,0.000012205229,0.0000616355,0.0007979865],"genre_scores_gemma":[0.91758746,0.0019120105,0.00016125158,0.07959033,0.00035316573,0.00031166902,0.000036569632,0.000021574218,0.000025975178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711007,0.00022513296,0.0011888358,0.00057686004,0.00008778927,0.00081130816],"domain_scores_gemma":[0.9985915,0.0005701083,0.0005417172,0.0001601201,0.000050865565,0.00008572136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018905668,0.0002645399,0.00082876725,0.00025070636,0.000096512966,0.000027813845,0.00018585655,0.00025907205,0.00017138763],"category_scores_gemma":[0.0030836172,0.0002387271,0.00011488013,0.00039859433,0.00016315779,0.0005715971,0.00020837088,0.0003085291,0.000018078486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012858132,0.000042756674,0.91637105,0.00025847426,0.0000464089,0.0000051852026,0.000050990402,0.0005276688,0.000017440312,0.0029380035,0.05782722,0.021786217],"study_design_scores_gemma":[0.00078303635,0.000026427882,0.88238645,0.00019585773,0.000018484749,4.394598e-7,0.00019826891,0.0044426764,9.350752e-7,0.005377499,0.10634631,0.00022362753],"about_ca_topic_score_codex":0.080576725,"about_ca_topic_score_gemma":0.012040671,"teacher_disagreement_score":0.17833233,"about_ca_system_score_codex":0.00018577502,"about_ca_system_score_gemma":0.000084064915,"threshold_uncertainty_score":0.97350085},"labels":[],"label_agreement":null},{"id":"W3082954457","doi":"10.1158/1538-7755.disp19-b092","title":"Abstract B092: Epstein-Barr virus prevalence in classical Hodgkin lymphoma tumors by race/ethnicity in a multiethnic U.S. population","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Incidence (geometry); Ethnic group; Population; Logistic regression; Oncology; Lymphoma; Internal medicine; Biopsy; Hodgkin lymphoma; Race (biology); Cancer; Demography; Pathology; Biology","score_opus":0.05799883956197173,"score_gpt":0.36203446032429176,"score_spread":0.30403562076232005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082954457","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":[0.9661402,0.02087502,0.000084453415,0.011119223,0.0002457202,0.001311068,0.000046291952,0.000081983264,0.0000960284],"genre_scores_gemma":[0.99313134,0.0035139513,0.00060348667,0.001610147,0.00012311403,0.0005884806,0.0002935866,0.000034124154,0.000101766185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959586,0.0008949345,0.0013087792,0.0009881246,0.00021067569,0.00063887093],"domain_scores_gemma":[0.9982378,0.00067011814,0.00039427212,0.0003286479,0.00004581476,0.00032338267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013909665,0.00038254558,0.0010281289,0.00022240744,0.00005873308,0.000007729769,0.0001641839,0.0004447004,0.0002439992],"category_scores_gemma":[0.0010947887,0.000348995,0.00030318435,0.0005689535,0.00017200521,0.00019694399,0.000070007765,0.00024841403,0.000048823746],"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":[0.0012312293,0.0007471974,0.90815836,0.00029212426,0.00014352154,0.00007520662,0.0001479682,0.00007458121,0.005590246,0.00003068236,0.0044249985,0.079083875],"study_design_scores_gemma":[0.0060007283,0.00037310843,0.98786247,0.00093648484,0.00013381703,0.0000110757865,0.000039127495,0.0018866714,0.0014279982,0.00040207073,0.00064202945,0.00028439637],"about_ca_topic_score_codex":0.0033137756,"about_ca_topic_score_gemma":0.001660347,"teacher_disagreement_score":0.07970413,"about_ca_system_score_codex":0.0012763991,"about_ca_system_score_gemma":0.00021366532,"threshold_uncertainty_score":0.9998962},"labels":[],"label_agreement":null},{"id":"W3082957600","doi":"10.1158/1538-7755.disp19-d061","title":"Abstract D061: Long-term socioeconomic status of childhood leukemia survivors and their family in a universal healthcare coverage system: A PETALE study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","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":"Université de Montréal","funders":"","keywords":"Socioeconomic status; Medicine; Population; Cohort; Demography; Family income; Health care; Household income; Gerontology; Pediatrics; Environmental health; Geography; Economic growth","score_opus":0.043497262329597344,"score_gpt":0.3420723667835839,"score_spread":0.29857510445398655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082957600","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":[0.98781073,0.0077872467,0.00045733675,0.0016883793,0.00018738901,0.0017880298,0.0001151074,0.000057582827,0.00010821858],"genre_scores_gemma":[0.9971301,0.002055768,0.000078176716,0.00034255532,0.00010044668,0.00009553466,0.00014020533,0.00003759853,0.000019608397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99651,0.000945115,0.0009831715,0.0007297605,0.00013202785,0.0006998866],"domain_scores_gemma":[0.9979465,0.0007412316,0.00049073057,0.0003071487,0.00008768884,0.0004267044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014094114,0.0003009323,0.0011196634,0.00021126945,0.00006748689,0.000006338619,0.00016533516,0.0002790367,0.000055318436],"category_scores_gemma":[0.00028600692,0.00026704223,0.00018275478,0.00020843699,0.000297124,0.00014554597,0.00014089838,0.00040517704,0.000010932369],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014835271,0.0001749006,0.977632,0.0011602247,0.00077338266,0.0000722502,0.002519222,0.000046662044,0.00069388223,0.000030028968,0.00024609437,0.015167827],"study_design_scores_gemma":[0.0066204066,0.0008984722,0.98492265,0.0005289689,0.000117498006,0.000020107202,0.005452092,0.0011245899,0.0000415405,0.00006155817,0.000030247946,0.00018187346],"about_ca_topic_score_codex":0.01006503,"about_ca_topic_score_gemma":0.002416074,"teacher_disagreement_score":0.0149859525,"about_ca_system_score_codex":0.003288245,"about_ca_system_score_gemma":0.0020378483,"threshold_uncertainty_score":0.9999782},"labels":[],"label_agreement":null},{"id":"W3087986288","doi":"10.1158/1055-9965.epi-20-0651","title":"Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Fatty Acid Research and Health","field":"Nursing","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":"Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; Cancer Research UK; World Health Organization","keywords":"Mendelian randomization; Pancreatic cancer; Polyunsaturated fatty acid; Medicine; Internal medicine; Randomization; Cancer; Oncology; Genetics; Endocrinology; Biology; Clinical trial; Fatty acid; Gene; Biochemistry; Genetic variants; Genotype","score_opus":0.0815177291816091,"score_gpt":0.39416928313496463,"score_spread":0.31265155395335553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087986288","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":[0.7712538,0.026692059,0.060468167,0.13912773,0.00053346995,0.0013376111,0.00041551553,0.00013097345,0.000040624636],"genre_scores_gemma":[0.98652756,0.0031382353,0.0038497157,0.0059382333,0.00015444715,0.0001288683,0.00022295906,0.00002350455,0.000016470398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995284,0.0026072874,0.000867861,0.0005688431,0.000160702,0.0005112724],"domain_scores_gemma":[0.99788845,0.0007091147,0.0007498404,0.00022209303,0.00016494427,0.0002655856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019371054,0.00022099745,0.0010140702,0.00033159865,0.00020067272,0.000010670376,0.0001470856,0.0002842176,0.000343366],"category_scores_gemma":[0.0015683919,0.0001925357,0.0002694333,0.0012773206,0.0002850164,0.00017506049,0.00004178028,0.00032906976,0.0000036708338],"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":[0.0073728194,0.000049355753,0.86486965,0.0003649451,0.005935191,0.00000305493,0.0006926841,0.0010995687,0.05111358,0.000053295575,0.006981997,0.061463863],"study_design_scores_gemma":[0.005350417,0.00040193132,0.87586635,0.00020617622,0.004357947,0.0000015486048,0.00016103665,0.08709802,0.024440045,0.0012987815,0.0004891165,0.00032863897],"about_ca_topic_score_codex":0.0031440377,"about_ca_topic_score_gemma":0.0011351543,"teacher_disagreement_score":0.21527372,"about_ca_system_score_codex":0.00017997892,"about_ca_system_score_gemma":0.000116822885,"threshold_uncertainty_score":0.78513783},"labels":[],"label_agreement":null},{"id":"W3093505814","doi":"10.1158/1055-9965.epi-20-1177","title":"Assessing 10-Year Safety of a Single Negative HPV Test for Cervical Cancer Screening: Evidence from FOCAL-DECADE Cohort","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":24,"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; Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency; Simon Fraser University; University of British Columbia; BC Centre for Disease Control; Women's Health Research Institute","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Cervical intraepithelial neoplasia; Cervical cancer; Incidence (geometry); Confidence interval; Hazard ratio; Cohort; Cumulative incidence; Gynecology; Cervix; Cervical screening; Cohort study; Obstetrics; Intraepithelial neoplasia; Cancer; Internal medicine","score_opus":0.22821543362945756,"score_gpt":0.4603098344194016,"score_spread":0.23209440078994403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093505814","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":[0.2747136,0.08200859,0.40554428,0.21630707,0.0016496428,0.011985589,0.0017051289,0.0005736463,0.005512427],"genre_scores_gemma":[0.97361845,0.0020695128,0.019559525,0.0022659348,0.0011243115,0.00071663904,0.0002763798,0.000064654836,0.000304613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963258,0.00062829204,0.0011076247,0.00095928955,0.00034356446,0.0006354256],"domain_scores_gemma":[0.9922925,0.005743246,0.00052283466,0.00034482946,0.000606694,0.0004898537],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001729513,0.00030383278,0.0011652271,0.00010148034,0.00014976712,0.000018851422,0.00027470014,0.00039706717,0.007153591],"category_scores_gemma":[0.009654059,0.00027116053,0.0004648705,0.0004975891,0.00048539526,0.0003202021,0.00015579343,0.0003881933,0.0000128299],"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":[0.007823344,0.00018013157,0.78008616,0.00059973635,0.0010762605,0.000004365357,0.00019207608,0.00006295855,0.013544034,0.00003535046,0.01296205,0.1834335],"study_design_scores_gemma":[0.003329812,0.0010744506,0.97400767,0.000920051,0.00075454434,0.0000017706333,0.0002345209,0.007203924,0.007348004,0.0011640644,0.003672727,0.00028848933],"about_ca_topic_score_codex":0.002089803,"about_ca_topic_score_gemma":0.000547785,"teacher_disagreement_score":0.6989048,"about_ca_system_score_codex":0.00047100862,"about_ca_system_score_gemma":0.00057882274,"threshold_uncertainty_score":0.9999741},"labels":[],"label_agreement":null},{"id":"W3094478909","doi":"10.1158/1055-9965.epi-20-0556","title":"Epidemiology of Basal-like and Luminal Breast Cancers among Black Women in the AMBER Consortium","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"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":"Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; Susan G. Komen for the Cure; Queen's University Belfast; Triangle Community Foundation; Queen's University","keywords":"Breast cancer; Menarche; Medicine; Breastfeeding; Estrogen receptor; Gynecology; Epidemiology; Oncology; Breast feeding; Incidence (geometry); Internal medicine; Obstetrics; Demography; Cancer; Pathology; Pediatrics","score_opus":0.03658482839988854,"score_gpt":0.3219974453055892,"score_spread":0.2854126169057007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094478909","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":[0.9779028,0.012291402,0.00038511117,0.008368356,0.0002624293,0.00050311006,0.00010367429,0.000012388728,0.00017069966],"genre_scores_gemma":[0.99273366,0.0024929042,0.000262035,0.0037120036,0.0003012906,0.0002791121,0.00011908367,0.000021542233,0.00007835483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99616796,0.0016125919,0.00076618063,0.00072063575,0.000075082295,0.00065752823],"domain_scores_gemma":[0.9984655,0.0004726723,0.00051418,0.000317602,0.0000678833,0.00016215892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091431,0.00029621166,0.0007245972,0.000055813605,0.00007449761,0.0000017908519,0.00024400778,0.00027796012,0.000050692342],"category_scores_gemma":[0.000603665,0.00023283073,0.00016477123,0.00019180936,0.001365121,0.000012833765,0.00014762567,0.00017179757,0.0000034107209],"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":[0.00081221963,0.000040707924,0.98502356,0.000079148,0.0005631918,0.0000029436733,0.00068197644,0.00011977835,0.00059978623,0.00006225939,0.010236945,0.0017774882],"study_design_scores_gemma":[0.0011913499,0.00025681694,0.9943689,0.00007060245,0.00010402583,0.000016140846,0.0011963437,0.00019266411,0.00016790455,0.0009898779,0.0012267423,0.00021859372],"about_ca_topic_score_codex":0.0013098336,"about_ca_topic_score_gemma":0.0010921854,"teacher_disagreement_score":0.0148308445,"about_ca_system_score_codex":0.00016203869,"about_ca_system_score_gemma":0.00015682778,"threshold_uncertainty_score":0.94945616},"labels":[],"label_agreement":null},{"id":"W3094921638","doi":"10.1158/1055-9965.epi-20-0739","title":"Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers","year":2020,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Vancouver General Hospital; Foothills Medical Centre; Princess Margaret Cancer Centre; BC Cancer Agency; University of British Columbia; Queen's University; Alberta Health Services","funders":"Medical Research Council; National Health and Medical Research Council; Cancer Research UK; Wellcome Trust","keywords":"Endometrial cancer; Ovarian cancer; Genome-wide association study; Oncology; Biology; Cancer; Genetic association; Meta-analysis; Single-nucleotide polymorphism; Internal medicine; Genetics; Gene; Medicine; Genotype","score_opus":0.043034862638221864,"score_gpt":0.36545357719026883,"score_spread":0.32241871455204696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094921638","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":[0.18523213,0.80606776,0.00060838275,0.00019867365,0.0011843025,0.0023657542,0.0043032398,0.000026427822,0.000013308144],"genre_scores_gemma":[0.024895998,0.97001934,0.00036063453,0.00008824213,0.0007675941,0.0024247728,0.00069256,0.000130322,0.00062052323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9883148,0.0056856815,0.0029591122,0.0017370712,0.00036892656,0.0009343986],"domain_scores_gemma":[0.98580885,0.0023921505,0.010199588,0.00072750513,0.0006103976,0.00026149472],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0042439844,0.0009322204,0.0040614363,0.00039968465,0.00036733333,0.000025279565,0.00060526823,0.0015660926,0.00013614942],"category_scores_gemma":[0.0080229845,0.0008131432,0.0009278369,0.00091851235,0.0005507694,0.000024531671,0.0003138808,0.00073027133,0.0000017429878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041373333,0.00019409171,0.87943536,0.00077719096,0.017189596,0.0000021589228,0.00015900639,0.0013454822,0.00007251069,0.0000022886513,0.0017396619,0.09866892],"study_design_scores_gemma":[0.005269706,0.0015193032,0.8804242,0.0029284556,0.016061993,0.0000024283108,0.0001484391,0.000117640586,0.000027792255,0.00030369486,0.092013985,0.0011823566],"about_ca_topic_score_codex":0.022617526,"about_ca_topic_score_gemma":0.0255542,"teacher_disagreement_score":0.16395158,"about_ca_system_score_codex":0.0012838503,"about_ca_system_score_gemma":0.0019325932,"threshold_uncertainty_score":0.9997301},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W3101324288","doi":"10.1158/1055-9965.epi-20-1239","title":"Gastrointestinal Cancer Survival and Radiation Exposure among Atomic Bomb Survivors: The Life Span Study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control","funders":"Ministry of Health, Labour and Welfare; University of Washington; U.S. Department of Energy","keywords":"Medicine; Cancer; Colorectal cancer; Gastrointestinal cancer; Internal medicine; Proportional hazards model; Oncology","score_opus":0.07807461644748251,"score_gpt":0.36523115125990047,"score_spread":0.287156534812418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101324288","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":[0.95525914,0.010140774,0.0019993316,0.030807517,0.0004938594,0.0011140414,0.000011577733,0.00008926774,0.00008449123],"genre_scores_gemma":[0.99557596,0.000992107,0.00017779374,0.0020604006,0.0007566307,0.00022270968,0.000050621707,0.000028750677,0.00013503754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709904,0.0011722612,0.00065295276,0.0005510206,0.00015594233,0.00036877085],"domain_scores_gemma":[0.9984658,0.00047780882,0.0004284447,0.0002453453,0.00007670156,0.00030592302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017694448,0.00023587815,0.0005384217,0.000080280435,0.00018704451,0.000019902374,0.0001301169,0.00007438336,0.00021560531],"category_scores_gemma":[0.0012907657,0.00018043858,0.00013749083,0.00026733856,0.00022527276,0.00021353853,0.00005853636,0.00029901063,0.000010663032],"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":[0.00036166477,0.00005924604,0.9736486,0.00004653643,0.0004063088,0.000006105535,0.00040008323,0.000075734475,0.00026949166,0.00002793322,0.0051406217,0.019557672],"study_design_scores_gemma":[0.0019158223,0.00043627547,0.9870191,0.0001423311,0.0004166921,0.000014051567,0.0013014739,0.007406502,0.00004296479,0.000119876735,0.0010288223,0.0001560567],"about_ca_topic_score_codex":0.0020370334,"about_ca_topic_score_gemma":0.00083947927,"teacher_disagreement_score":0.04031681,"about_ca_system_score_codex":0.000117361604,"about_ca_system_score_gemma":0.00023219932,"threshold_uncertainty_score":0.73580724},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3107509197","doi":"10.1158/1538-7755.disp20-ia35","title":"Abstract IA35: Novel biological insights into colorectal cancer from West Africa","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microsatellite instability; Cohort; Colorectal cancer; Medicine; Oncology; Internal medicine; Germline mutation; Cancer; Adenocarcinoma; Immunohistochemistry; Microsatellite; Biology; Mutation; Gene; Genetics","score_opus":0.12403188302620649,"score_gpt":0.3650082413596492,"score_spread":0.24097635833344272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107509197","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":[0.94461447,0.03455157,0.0020129771,0.014770443,0.0019240595,0.0010581894,0.000090175905,0.00023001402,0.00074808026],"genre_scores_gemma":[0.9857479,0.0033764557,0.005768221,0.0029566044,0.0011056234,0.0006419276,0.00028029847,0.000053783097,0.000069184825],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964693,0.00035222102,0.0010231127,0.0012377568,0.00023608301,0.0006814853],"domain_scores_gemma":[0.99755675,0.0008439507,0.00052235177,0.00032663706,0.00017898735,0.0005713545],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052497763,0.00048760255,0.001103306,0.00011508963,0.00015927947,0.000011716854,0.00032753558,0.00075188413,0.0035306353],"category_scores_gemma":[0.0012695102,0.0004004218,0.00041957703,0.00044342794,0.00056502485,0.00011717073,0.00018120169,0.00057382806,0.0001410148],"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":[0.004071776,0.00032939488,0.43713424,0.0001633173,0.0017065741,0.000029963776,0.0013590264,0.000120995166,0.48669943,0.00009625607,0.026135594,0.042153437],"study_design_scores_gemma":[0.0026920277,0.0009900058,0.9442702,0.0003709416,0.0003858403,0.0000063389684,0.00019084894,0.0010463722,0.01283549,0.0029268614,0.033709172,0.0005759244],"about_ca_topic_score_codex":0.0017226102,"about_ca_topic_score_gemma":0.0007924016,"teacher_disagreement_score":0.5071359,"about_ca_system_score_codex":0.0006317246,"about_ca_system_score_gemma":0.0004996347,"threshold_uncertainty_score":0.9998448},"labels":[],"label_agreement":null},{"id":"W3108140365","doi":"10.1158/1538-7755.disp20-po-269","title":"Abstract PO-269: Documentation methods for vulvar pain: Implications for detection of vulvar cancer, a cancer with known disparities","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vulvodynia; Medicine; Vulvar cancer; Documentation; Cancer pain; Vaginal cancer; Cancer; Sex organ; Physical therapy; Cervical cancer; Pelvic pain; Surgery; Internal medicine","score_opus":0.14347950691340608,"score_gpt":0.5004107068003608,"score_spread":0.35693119988695476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108140365","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":[0.013703535,0.030413914,0.9011708,0.048612922,0.00046909452,0.004913914,0.0004594333,0.000115852534,0.00014055156],"genre_scores_gemma":[0.91892695,0.00928207,0.04727548,0.00381992,0.0010985212,0.018550547,0.0006103261,0.000102593134,0.0003335902],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973108,0.00051289535,0.00083539507,0.00067787536,0.00012317434,0.0005398183],"domain_scores_gemma":[0.99635834,0.0018906449,0.000536321,0.00026940292,0.0006598676,0.00028545293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002578874,0.00026764272,0.00079907104,0.00013855107,0.00020720807,0.000012691,0.00015853939,0.0002539421,0.0005252398],"category_scores_gemma":[0.0012249418,0.00022717465,0.00032804225,0.00040003908,0.00027265263,0.00020010359,0.00003515227,0.00021557212,0.0000011455156],"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":[0.006999866,0.00011486039,0.10316871,0.0026309125,0.0012097759,2.270862e-7,0.00014932864,0.00013862921,0.041564908,0.00047431453,0.00487277,0.8386757],"study_design_scores_gemma":[0.0066754348,0.0024954623,0.9256105,0.00048088332,0.0013668445,0.0000040514205,0.00022841233,0.005457006,0.02376265,0.009898739,0.023536868,0.00048318275],"about_ca_topic_score_codex":0.0030546705,"about_ca_topic_score_gemma":0.0019033998,"teacher_disagreement_score":0.9052234,"about_ca_system_score_codex":0.0004794703,"about_ca_system_score_gemma":0.0005341572,"threshold_uncertainty_score":0.92639136},"labels":[],"label_agreement":null},{"id":"W3108152667","doi":"10.1158/1055-9965.epi-20-0732","title":"Occupational Heat Exposure and Breast Cancer Risk in the MCC-Spain Study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Climate Change and Health Impacts","field":"Environmental Science","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":"University of Ottawa","funders":"Department of Chemical Engineering, Monash University; Departament d'Universitats, Recerca i Societat de la Informació; Instituto de Salud Carlos III; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Universidad de Oviedo; Generalitat Valenciana; Junta de Andalucía; European Commission; Fundación Marqués de Valdecilla; Centres de Recerca de Catalunya; Junta de Castilla y León; Ministerio de Ciencia, Innovación y Universidades","keywords":"Breast cancer; Medicine; Confounding; Wet-bulb globe temperature; Confidence interval; Job-exposure matrix; Cancer; Population; Occupational medicine; Case-control study; Exposure assessment; Occupational exposure; Demography; Internal medicine; Environmental health; Heat stress; Biology","score_opus":0.10593089478220506,"score_gpt":0.39412977327066756,"score_spread":0.2881988784884625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108152667","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":[0.9624147,0.002615526,0.00012038483,0.033733483,0.00015201714,0.00078028964,0.00009069869,0.000020037884,0.00007290851],"genre_scores_gemma":[0.99113727,0.0022023837,0.000102522965,0.0060231606,0.000168983,0.0003113499,0.000026145108,0.000009419825,0.000018771058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723023,0.0014477939,0.00040437293,0.00042947973,0.00012758389,0.0003605376],"domain_scores_gemma":[0.99910927,0.00041666348,0.0001611156,0.00015511844,0.0000075726757,0.00015026823],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025227652,0.00015125884,0.0002582334,0.000029601926,0.00017282643,0.00000855562,0.00016305926,0.00010117395,0.0013237331],"category_scores_gemma":[0.00020792744,0.00010918734,0.000050293238,0.00024962137,0.00015739835,0.00015195938,0.00009262677,0.00019642396,0.00002932712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023184792,0.00008219837,0.9620022,0.000016032172,0.000025491494,0.000002578114,0.0016921019,0.00015747109,0.00007299593,0.0000048000784,0.010135177,0.025577078],"study_design_scores_gemma":[0.0007657998,0.00019874785,0.99559253,0.000038561153,0.000043921955,0.000004640661,0.0008363012,0.0010922521,0.0000018310874,0.00054412626,0.00076933985,0.00011196145],"about_ca_topic_score_codex":0.0067882184,"about_ca_topic_score_gemma":0.010395727,"teacher_disagreement_score":0.033590287,"about_ca_system_score_codex":0.00018784907,"about_ca_system_score_gemma":0.000030472374,"threshold_uncertainty_score":0.99982566},"labels":[],"label_agreement":null},{"id":"W3108278392","doi":"10.1158/1055-9965.epi-20-0975","title":"Obstructive Sleep Apnea and Incident Cancer: A Large Retrospective Multicenter Clinical Cohort Study","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Western University; St. Michael's Hospital; University of Calgary; Institute for Clinical Evaluative Sciences; Ottawa Hospital","funders":"National Heart, Lung, and Blood Institute; Lung Health Foundation; National Institute on Aging; Physicians' Services Incorporated Foundation; Ottawa Hospital Research Institute; London Health Sciences Centre; American Thoracic Society","keywords":"Medicine; Obstructive sleep apnea; Hazard ratio; Hypoxemia; Retrospective cohort study; Internal medicine; Proportional hazards model; Cohort study; Number needed to harm; Sleep apnea; Cancer registry; Cancer; Cohort; Incidence (geometry); Pediatrics; Relative risk; Confidence interval; Number needed to treat","score_opus":0.07136162873425007,"score_gpt":0.4340445634173158,"score_spread":0.3626829346830657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108278392","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":[0.9811128,0.0041740607,0.0030949018,0.006392674,0.0008673329,0.0040402655,0.00007901258,0.0001176772,0.000121295365],"genre_scores_gemma":[0.9949488,0.0007521063,0.0011340245,0.001426796,0.0006694239,0.0008851669,0.000052388445,0.000054046883,0.00007723537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937575,0.0022649055,0.0012800785,0.0015385848,0.00037531147,0.0007836238],"domain_scores_gemma":[0.9972849,0.0006502804,0.000599668,0.00039071238,0.00042339324,0.00065104704],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003623758,0.00038965492,0.0014028533,0.0001491836,0.00020104242,0.000014456545,0.00020989118,0.00035595923,0.00044785778],"category_scores_gemma":[0.0035290048,0.00034838083,0.00033968757,0.00040428067,0.00059924246,0.00020777476,0.00037715895,0.00086088927,0.000035092908],"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":[0.0024559826,0.00046241345,0.96162635,0.0000830755,0.0033980901,0.000038304624,0.00052195496,0.0000023567125,0.0003409973,0.000078340614,0.00065071776,0.030341415],"study_design_scores_gemma":[0.0065397774,0.0012663945,0.98206913,0.0000697795,0.0009364921,0.000010575977,0.0010778857,0.0067800437,0.000080909645,0.00042449497,0.00046896847,0.00027553993],"about_ca_topic_score_codex":0.00054388965,"about_ca_topic_score_gemma":0.0003723216,"teacher_disagreement_score":0.030065874,"about_ca_system_score_codex":0.0007281152,"about_ca_system_score_gemma":0.00010090805,"threshold_uncertainty_score":0.9998968},"labels":[],"label_agreement":null},{"id":"W3108374298","doi":"10.1158/1538-7755.disp20-po-111","title":"Abstract PO-111: Postoperative lung cancer pain over 4 days: Changes in painful body surface area","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lung cancer; Thoracotomy; Physical therapy; Body surface area; Pain scale; Lung cancer surgery; Cancer pain; Visual analogue scale; Surgery; Cancer; Internal medicine","score_opus":0.039635552225352304,"score_gpt":0.32981651520930305,"score_spread":0.29018096298395074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108374298","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":[0.8639646,0.055699874,0.028534465,0.048732348,0.0010791172,0.00073067215,0.00010888213,0.00050948083,0.00064053957],"genre_scores_gemma":[0.99127704,0.0036742454,0.0004791869,0.0038271819,0.0002176667,0.00014999557,0.00013105819,0.00004012633,0.00020348432],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763024,0.0006914996,0.0005537399,0.00048418812,0.00011879828,0.0005215371],"domain_scores_gemma":[0.9987805,0.0006155308,0.00014085992,0.0001871207,0.000040865056,0.00023511917],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002183416,0.00028488936,0.0006083755,0.00009260035,0.000058675883,0.000012542235,0.00018574162,0.00022632552,0.0016589402],"category_scores_gemma":[0.00072808657,0.00026485996,0.00016254712,0.00034670995,0.00011103123,0.00011519995,0.000036815916,0.00036324366,0.000011059874],"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":[0.000081944425,0.000051142168,0.7235,0.00046992302,0.0013036251,0.000033329725,0.000754223,0.043156233,0.0136313075,0.00002646582,0.16370592,0.05328587],"study_design_scores_gemma":[0.00094898714,0.000060534654,0.18683861,0.00087137736,0.00020548498,6.8304047e-7,0.00025347676,0.7996322,0.0009339439,0.00025152546,0.009389706,0.00061346893],"about_ca_topic_score_codex":0.0011155354,"about_ca_topic_score_gemma":0.0010831957,"teacher_disagreement_score":0.756476,"about_ca_system_score_codex":0.0002837805,"about_ca_system_score_gemma":0.00006120688,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W3108606878","doi":"10.1158/1538-7755.disp20-po-021","title":"Abstract PO-021: A hub and spoke model to improve cancer care quality: Advancing Cancer Care Together (ACCT) for Asian American Medicaid beneficiaries in Orange County, California","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"Institute of Population and Public Health","funders":"","keywords":"Vietnamese; Medicine; Medicaid; Population; Pacific islanders; Family medicine; Cancer; Community health; Health care; Health equity; Chinese americans; Gerontology; Nursing; Immigration; Environmental health; Public health; Economic growth; Political science; Internal medicine","score_opus":0.12439887899574982,"score_gpt":0.44725238791871463,"score_spread":0.3228535089229648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108606878","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":[0.8847702,0.06370713,0.006173728,0.040044162,0.0005568518,0.002583892,0.0018767929,0.00012184157,0.00016538797],"genre_scores_gemma":[0.9773465,0.0032743854,0.00559692,0.011077568,0.0005470625,0.0018127154,0.00024673226,0.000071139955,0.000027013524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625885,0.00023276768,0.0011076559,0.0011434498,0.00030665225,0.0009506189],"domain_scores_gemma":[0.9978098,0.00028787923,0.00059162505,0.0003333258,0.00037589355,0.0006014527],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011223942,0.00046587718,0.0013454818,0.00016873129,0.00018127535,0.000019884676,0.00022897343,0.0003235359,0.00011219623],"category_scores_gemma":[0.0009543337,0.00043635722,0.0002679424,0.00043050933,0.0002350253,0.0002084687,0.00011952697,0.0004004325,0.00000342163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044648955,0.00003452405,0.58130944,0.0015858191,0.00047767625,0.000016815296,0.005980858,0.0039472673,0.0035992237,0.00009150852,0.0027111366,0.39578086],"study_design_scores_gemma":[0.015729371,0.0031634266,0.78631413,0.010154189,0.00274716,0.0000196847,0.08864841,0.025976833,0.0039863465,0.0032544902,0.056388102,0.0036178532],"about_ca_topic_score_codex":0.034679577,"about_ca_topic_score_gemma":0.108956575,"teacher_disagreement_score":0.392163,"about_ca_system_score_codex":0.0014273131,"about_ca_system_score_gemma":0.0010007749,"threshold_uncertainty_score":0.99980885},"labels":[],"label_agreement":null},{"id":"W3109110950","doi":"10.1158/1538-7755.disp20-po-213","title":"Abstract PO-213: Relationship between travel distance and radiotherapy waiting time in Zaria, Northwestern Nigeria","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Radiation therapy; Medicine; Residence; Cervix; General surgery; Cancer; Demography; Surgery; Internal medicine","score_opus":0.07145334570534309,"score_gpt":0.4092846010605063,"score_spread":0.33783125535516323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109110950","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":[0.92281413,0.024339553,0.0310684,0.020351961,0.0003381736,0.00076711614,0.000026941452,0.00008035753,0.00021335215],"genre_scores_gemma":[0.9891996,0.0015618262,0.005794935,0.002196768,0.0007036447,0.00007460629,0.00012920774,0.000034792363,0.00030464635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977443,0.00045872465,0.00077153114,0.0005670252,0.00007677919,0.00038162334],"domain_scores_gemma":[0.9974705,0.0017290207,0.00039077442,0.00018745953,0.000029091594,0.00019315751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011430795,0.00023360476,0.0007673879,0.000096588454,0.00012705193,0.000004853031,0.00010361339,0.00038602104,0.00019213073],"category_scores_gemma":[0.00048387417,0.0002181921,0.0001267013,0.00021856808,0.00037820416,0.00017306008,0.000016937018,0.00041186865,0.000011677553],"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":[0.00072758464,0.000035364592,0.9656059,0.00009643894,0.00021481018,0.000015637888,0.00044429384,0.000037878122,0.0009191595,0.00012774194,0.00062315067,0.031152014],"study_design_scores_gemma":[0.0024867365,0.00023968607,0.99153346,0.00025114263,0.00006414845,0.000014439814,0.00007977661,0.0010178756,0.000048308226,0.0022372468,0.0018243291,0.00020283941],"about_ca_topic_score_codex":0.00006107601,"about_ca_topic_score_gemma":0.0001296978,"teacher_disagreement_score":0.066385426,"about_ca_system_score_codex":0.0002540353,"about_ca_system_score_gemma":0.00012258216,"threshold_uncertainty_score":0.88976157},"labels":[],"label_agreement":null},{"id":"W3109317029","doi":"10.1158/1538-7755.disp20-pr11","title":"Abstract PR11: Multi-omic disparities in head and neck squamous cell carcinomas in patients of different racio-ethnic backgrounds","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Head and Neck Cancer Studies","field":"Medicine","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":"Western University","funders":"","keywords":"Medicine; Oncology; Head and neck squamous-cell carcinoma; Cohort; Head and neck cancer; Internal medicine; Ethnic group; Health equity; Cancer; Demography; Pathology; Public health","score_opus":0.093976705928899,"score_gpt":0.3664213095105554,"score_spread":0.2724446035816564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109317029","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":[0.9755733,0.019805534,0.000050132596,0.0034873053,0.00021219482,0.00074184797,0.000022327073,0.00002106683,0.00008631895],"genre_scores_gemma":[0.99688053,0.0019728376,0.0002446751,0.0005550457,0.000052069336,0.00013810735,0.00006934818,0.000021256557,0.000066147564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975626,0.00045617775,0.00092483294,0.00052217726,0.00010106627,0.0004331321],"domain_scores_gemma":[0.9989647,0.0003526586,0.00029538744,0.00017655516,0.00004936168,0.00016128238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006688815,0.00025708848,0.0010438347,0.00014807993,0.00003594134,0.0000023580185,0.00008109894,0.00022052156,0.000045681238],"category_scores_gemma":[0.0003146963,0.00022519709,0.00012210921,0.0001906506,0.00022163858,0.0000919968,0.00008190246,0.00028943265,0.0000027893586],"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":[0.00088456745,0.00036985698,0.98491436,0.00093557814,0.00006331823,0.0000051588777,0.0004920352,0.000007436863,0.0010256803,0.000007739169,0.0007092812,0.010584997],"study_design_scores_gemma":[0.007430822,0.00079269905,0.99001074,0.00046604525,0.00007399183,6.635786e-7,0.00017290752,0.00044026627,0.00027285848,0.00009962331,0.000063924694,0.00017545109],"about_ca_topic_score_codex":0.0018373628,"about_ca_topic_score_gemma":0.0030457184,"teacher_disagreement_score":0.021307241,"about_ca_system_score_codex":0.0002712117,"about_ca_system_score_gemma":0.00008697915,"threshold_uncertainty_score":0.91832703},"labels":[],"label_agreement":null},{"id":"W3109613928","doi":"10.1158/1538-7755.disp20-po-093","title":"Abstract PO-093: Circulating tumor DNA (ctDNA) from peripheral blood is detectable among Ghanaian breast cancer patients","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Breast cancer; Concordance; Medicine; Internal medicine; Oncology; Cancer; Copy-number variation; Biology; Gene; Genome; Genetics","score_opus":0.020527116034049102,"score_gpt":0.2805221521211509,"score_spread":0.2599950360871018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109613928","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":[0.98881793,0.0064445524,0.00053798954,0.0018580101,0.00074152293,0.0004593121,0.0009704436,0.00003678247,0.00013346453],"genre_scores_gemma":[0.99239725,0.0010931975,0.00057085993,0.0038528473,0.0010600039,0.00020224166,0.00069919287,0.00006579827,0.00005863841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727917,0.00020590317,0.00072402577,0.0010266611,0.00013031812,0.0006338996],"domain_scores_gemma":[0.99845046,0.00009684491,0.00059103395,0.00036638422,0.0001549365,0.00034031848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032792,0.00038532045,0.00051218556,0.000044282395,0.00016505829,0.000030272868,0.0003187966,0.00034004368,0.00069895835],"category_scores_gemma":[0.00031214533,0.00041123343,0.00033732274,0.00012622283,0.00018871184,0.000023080733,0.00018164677,0.00020803088,0.000011715918],"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":[0.00034387526,0.00011524789,0.8726183,0.00006352893,0.00086325564,0.000006408952,0.00014967607,0.00026218785,0.10312402,0.000004123706,0.008123401,0.014325936],"study_design_scores_gemma":[0.0020746903,0.00022034883,0.96607333,0.00017105263,0.00032403998,0.000003773502,0.00007052591,0.00065596204,0.026198916,0.00044500342,0.0031335095,0.000628844],"about_ca_topic_score_codex":0.003436243,"about_ca_topic_score_gemma":0.0014434842,"teacher_disagreement_score":0.093454994,"about_ca_system_score_codex":0.00013549431,"about_ca_system_score_gemma":0.00025451448,"threshold_uncertainty_score":0.99983394},"labels":[],"label_agreement":null},{"id":"W3110342190","doi":"10.1158/1538-7755.disp20-po-110","title":"Abstract PO-110: Determining the validity of patient pain markings for wound pain prior to debridement","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Context (archaeology); Physical therapy; Pain assessment; Body surface area; Descriptive statistics; Pain management; Surgery","score_opus":0.08975875244590285,"score_gpt":0.3626135983715507,"score_spread":0.27285484592564785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110342190","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":[0.8718298,0.001064628,0.11508961,0.008886031,0.00031932638,0.002662647,0.000025620751,0.0000710427,0.00005127722],"genre_scores_gemma":[0.97458637,0.00017028402,0.01681671,0.007540722,0.00014215067,0.0006227886,0.00007383021,0.000026337942,0.000020834002],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9969063,0.0013528792,0.00084740575,0.00045415445,0.00009970704,0.000339597],"domain_scores_gemma":[0.99677724,0.0021408845,0.0005130466,0.00025645035,0.0001619923,0.00015041628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009196173,0.00019855885,0.0006038915,0.00007551351,0.000107033215,0.0000047442613,0.00012423427,0.00015866314,0.00009362951],"category_scores_gemma":[0.0055087283,0.00014947364,0.00048822627,0.00014204679,0.00015756788,0.00006172038,0.00005536201,0.00014317084,0.0000018913668],"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":[0.0005603898,0.00005719635,0.32814038,0.00029969882,0.00045529977,0.0000015423477,0.00016039002,0.000003989217,0.0076549537,0.000027510103,0.016892428,0.64574623],"study_design_scores_gemma":[0.0018673828,0.0025606733,0.8259071,0.0015326642,0.00067641283,0.000011570515,0.00050931907,0.0005901675,0.052741103,0.003974921,0.10908434,0.00054434844],"about_ca_topic_score_codex":0.00005039019,"about_ca_topic_score_gemma":0.000021649432,"teacher_disagreement_score":0.64520186,"about_ca_system_score_codex":0.00014590939,"about_ca_system_score_gemma":0.00011996625,"threshold_uncertainty_score":0.659486},"labels":[],"label_agreement":null},{"id":"W3111655952","doi":"10.1158/1055-9965.epi-20-1176","title":"A Combined Proteomics and Mendelian Randomization Approach to Investigate the Effects of Aspirin-Targeted Proteins on Colorectal Cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory mediators and NSAID effects","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":"Lunenfeld-Tanenbaum Research Institute; Memorial University of Newfoundland","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; Key Clinical Research Program of Southwest Hospital; Bowel Cancer UK; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Conseil Régional des Pays de la Loire; Wellcome Trust; Medical Research Council; Wellcome; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; World Health Organization; U.S. Department of Health and Human Services; National Institutes of Health; Cancer Research UK","keywords":"Mendelian randomization; Colorectal cancer; Quantitative proteomics; Biology; Expression quantitative trait loci; Cancer research; Medicine; Aspirin; Oncology; Stable isotope labeling by amino acids in cell culture; Colorectal adenoma; Proteomics; Bioinformatics; Cancer; Internal medicine; Genetics; Gene; Single-nucleotide polymorphism; Genotype; Genetic variants","score_opus":0.022833811866429746,"score_gpt":0.30984601222014596,"score_spread":0.2870122003537162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111655952","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":[0.98590356,0.0030755498,0.002487238,0.0030360518,0.0006518182,0.0046832324,0.000010356931,0.000043365046,0.00010879857],"genre_scores_gemma":[0.9886791,0.00077244715,0.004317198,0.0017031523,0.00021615392,0.0038857902,0.00013244481,0.000039883413,0.00025384198],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99713635,0.0013609307,0.0005514339,0.0004738267,0.00014422843,0.000333207],"domain_scores_gemma":[0.9984034,0.00061366,0.00035208758,0.0002565782,0.00016669327,0.00020759102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016722952,0.00023756768,0.0007214694,0.000120130455,0.000121561345,0.000005764682,0.00008006478,0.00023171322,0.000018635303],"category_scores_gemma":[0.002308246,0.00016744004,0.00015137585,0.00035104222,0.0002349288,0.000050904484,0.00005612607,0.00022119905,0.0000031789573],"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":[0.016128924,0.0006086969,0.22196363,0.004381586,0.0023445587,0.00002659431,0.0011772522,0.00048455977,0.7202343,0.0016901823,0.005645038,0.025314683],"study_design_scores_gemma":[0.020068726,0.0022310754,0.318993,0.0029144546,0.000922444,0.000024399138,0.00009010862,0.0075006858,0.6438926,0.00226297,0.00063713785,0.0004623951],"about_ca_topic_score_codex":0.0001217966,"about_ca_topic_score_gemma":0.000058728594,"teacher_disagreement_score":0.09702937,"about_ca_system_score_codex":0.00016309624,"about_ca_system_score_gemma":0.0003619357,"threshold_uncertainty_score":0.68280065},"labels":[],"label_agreement":null},{"id":"W3112064555","doi":"10.1158/1055-9965.epi-20-1319","title":"CanRisk Tool—A Web Interface for the Prediction of Breast and Ovarian Cancer Risk and the Likelihood of Carrying Genetic Pathogenic Variants","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":233,"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":"European Commission; Cancer Research UK; Government of Canada; Wellcome Trust; Canadian Institutes of Health Research; Genome Canada","keywords":"Ovarian cancer; Breast cancer; Genetic variants; Genetic testing; Cancer; Case-control study; Risk factor","score_opus":0.01864323546636203,"score_gpt":0.30663285113090644,"score_spread":0.2879896156645444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112064555","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":[0.7965391,0.14567435,0.052262843,0.0025100869,0.0009022358,0.00087351183,0.0012125114,0.000007901635,0.000017436709],"genre_scores_gemma":[0.96653545,0.02967727,0.002828678,0.00012001262,0.00020017163,0.00049163756,0.000057878668,0.000020888136,0.00006800567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99791366,0.00076547504,0.000567555,0.00045194066,0.00006685698,0.00023451487],"domain_scores_gemma":[0.99842495,0.0003827275,0.0005262649,0.00039067812,0.0002347149,0.000040669453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014943071,0.00016344192,0.00032383308,0.00003484367,0.00016527635,0.0000073515716,0.00014546815,0.00020537633,0.000026971262],"category_scores_gemma":[0.00042542763,0.00011642948,0.00015475921,0.00012913595,0.0006172352,0.000008274326,0.00013700883,0.00010549265,1.0869187e-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":[0.0019229485,0.00007012437,0.30543286,0.00030287265,0.0036959688,6.1851745e-7,0.00051139353,0.0017415499,0.40973884,0.00027292222,0.003726745,0.27258316],"study_design_scores_gemma":[0.0059631295,0.00025684384,0.94057095,0.00029401,0.0019682827,0.000108473374,0.0007594098,0.013402553,0.026383659,0.0064360793,0.0035491593,0.00030745508],"about_ca_topic_score_codex":0.0008168707,"about_ca_topic_score_gemma":0.0013684129,"teacher_disagreement_score":0.6351381,"about_ca_system_score_codex":0.000060916336,"about_ca_system_score_gemma":0.00047365218,"threshold_uncertainty_score":0.47478566},"labels":[],"label_agreement":null},{"id":"W3114303537","doi":"10.1158/1055-9965.epi-08-1023","title":"Vitamin D and Cancer Mortality","year":2009,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Vitamin D Research Studies","field":"Medicine","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":"National Institutes of Health","keywords":"National Health and Nutrition Examination Survey; Medicine; Quartile; Demography; vitamin D deficiency; Vitamin D and neurology; Gerontology; Cancer; Coronary heart disease; Internal medicine; Population; Environmental health; Confidence interval","score_opus":0.10454582624665949,"score_gpt":0.43799246058428387,"score_spread":0.3334466343376244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114303537","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012224044,0.10801164,0.0001814037,0.8757427,0.00138107,0.0015447672,0.00013593043,0.00014211626,0.0006363799],"genre_scores_gemma":[0.006244491,0.12077063,0.0018349026,0.8241331,0.009263371,0.002332827,0.0016412013,0.0001625487,0.033616956],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99505633,0.001321947,0.00095321075,0.0012524788,0.00034838356,0.0010676605],"domain_scores_gemma":[0.99759763,0.0006792298,0.00059167686,0.0006908981,0.00022939577,0.00021113713],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022502914,0.00060232426,0.0017404004,0.00033229802,0.00019087228,0.000011815024,0.00021229152,0.001604249,0.0004178131],"category_scores_gemma":[0.0011235193,0.0005021989,0.0004391719,0.00024244115,0.00090714643,0.000102817285,0.00017388133,0.0018927818,0.00002237096],"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":[0.000064388725,0.000035351917,0.13484645,0.00082157657,0.0022745354,0.00015439601,0.000024347277,4.4614478e-7,0.00011975388,0.0000064144083,0.80773544,0.053916894],"study_design_scores_gemma":[0.0010103855,0.00027141257,0.5287185,0.0015278454,0.0012028152,0.000037576767,0.00001554909,0.000049014725,0.00003904308,0.002222222,0.4645181,0.0003875608],"about_ca_topic_score_codex":0.0012122163,"about_ca_topic_score_gemma":0.00030748945,"teacher_disagreement_score":0.39387202,"about_ca_system_score_codex":0.00068115734,"about_ca_system_score_gemma":0.00042374275,"threshold_uncertainty_score":0.999743},"labels":[],"label_agreement":null},{"id":"W3123127920","doi":"10.1158/1055-9965.epi-20-0924","title":"Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":40,"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":"College of Graduate Studies; National Institute of Environmental Health Sciences; Servicio Gallego de Salud; Universitätsklinikum Hamburg-Eppendorf; Biomedical Research Council; Instituto de Salud Carlos III; European Commission; Cancer Council Western Australia; National Health and Medical Research Council; National Center for Advancing Translational Sciences; Seventh Framework Programme; Rheinische Friedrich-Wilhelms-Universität Bonn; California Department of Public Health; Cancer Council Victoria; National Center for Chronic Disease Prevention and Health Promotion; Deutsche Krebshilfe; Norges Forskningsråd; Conseil Supérieur de la Pêche; Kuopion Yliopistollinen Sairaala; Karolinska Institutet; Health and Medical Research Fund; Ministry of Education, Science and Technology; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Ministerio de Economía y Competitividad; Medical Research Council; Bernstein Center for Computational Neuroscience Tübingen; King's College London; Academy of Finland; Centers for Disease Control and Prevention; Breast Cancer Campaign; California Breast Cancer Research Program; Pfizer; Robert Bosch Stiftung; Swedish Cancer Foundation; Ecumenical Project for International Cooperation; National Breast Cancer Foundation; Fonds Wetenschappelijk Onderzoek; Cancerfonden; National Cancer Institute; Cancer Institute NSW; KWF Kankerbestrijding; Wellcome Trust; Cancer Research UK; National Institute for Health and Care Research; Itä-Suomen Yliopisto; Lon V. Smith Foundation; Deutsches Krebsforschungszentrum; National Institutes of Health; Deutsche Gesetzliche Unfallversicherung; David F. and Margaret T. Grohne Family Foundation; Stockholms Läns Landsting; Amgen; National Institute on Handicapped Research; Federación Española de Enfermedades Raras; Japan Agency for Medical Research and Development; Breast Cancer Research Foundation","keywords":"Medicine; Breast cancer; Internal medicine; Oncology; Cancer; Gynecology; Proportional hazards model; Confidence interval; Estrogen receptor; Obstetrics","score_opus":0.04701057004431533,"score_gpt":0.37407838832126644,"score_spread":0.3270678182769511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123127920","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":[0.9271178,0.046552874,0.0002566932,0.017556127,0.0018604177,0.00044624956,0.006090777,0.000075389864,0.000043629265],"genre_scores_gemma":[0.9687584,0.027187642,0.00006223786,0.0013161751,0.00070795417,0.00021371592,0.0007568396,0.000049371465,0.0009476746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959402,0.0014704413,0.00081366784,0.0008710859,0.00028386244,0.0006207303],"domain_scores_gemma":[0.99639404,0.0014696314,0.0010807649,0.0004246677,0.0003593669,0.0002715418],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012430273,0.00041409768,0.0010623682,0.00007181801,0.00030467793,0.00003251614,0.00014238582,0.00034157638,0.002479626],"category_scores_gemma":[0.0005097247,0.00029100777,0.00039629312,0.00041026104,0.00026537475,0.0001704988,0.00008881304,0.0004920201,0.00000694204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005072094,0.000080859405,0.9366765,0.000030983145,0.003216617,0.000005088449,0.00009753571,0.000017853436,0.004540587,0.000008286709,0.04387668,0.0109417755],"study_design_scores_gemma":[0.0016635675,0.000033150114,0.98949057,0.00026716499,0.0027116563,0.00002311265,0.000382767,0.00025705644,0.0010603628,0.00029743236,0.0035050856,0.00030808785],"about_ca_topic_score_codex":0.11064037,"about_ca_topic_score_gemma":0.023231646,"teacher_disagreement_score":0.08740872,"about_ca_system_score_codex":0.0010811087,"about_ca_system_score_gemma":0.00067581865,"threshold_uncertainty_score":0.9999542},"labels":[],"label_agreement":null},{"id":"W3123169757","doi":"10.1158/1538-7755.modpop19-a10","title":"Abstract A10: Using large linked databases to understand cancer care access in northwestern Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"Thunder Bay Regional Health Sciences Centre; Health Sciences North; NOSM University","funders":"","keywords":"Medicine; Residence; Odds ratio; Receipt; Cancer registry; Family medicine; Kilometer; Health care; Confidence interval; Cancer; Population; Database; Gerontology; Environmental health; Demography; Economic growth","score_opus":0.3301283257509696,"score_gpt":0.4585989608661729,"score_spread":0.1284706351152033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123169757","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":[0.9805858,0.009395774,0.0022437524,0.005833477,0.0006566795,0.0008437253,0.0002290902,0.000038642014,0.00017304248],"genre_scores_gemma":[0.98711365,0.00031719325,0.00093983853,0.010870378,0.0002807743,0.000075164535,0.00032757752,0.000027467491,0.00004797381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973707,0.00017951625,0.0007551116,0.0007503404,0.00024111255,0.0007031903],"domain_scores_gemma":[0.99864334,0.00015576092,0.00029973,0.0002955684,0.00014521624,0.00046036992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005091695,0.00029203936,0.00071361195,0.00010954387,0.00012076853,0.000014796201,0.00024967152,0.0001545037,0.0008145675],"category_scores_gemma":[0.00019135501,0.00028810542,0.00013205258,0.00041442947,0.000059524446,0.00031429387,0.00016123708,0.00036450286,0.000003599787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009107633,0.000021018062,0.9838624,0.00020809747,0.00023523877,0.00010354611,0.0012160201,0.0011907123,0.00042969198,0.00001257903,0.007912634,0.003897275],"study_design_scores_gemma":[0.0017887474,0.00011222337,0.98149246,0.0014047975,0.00023487234,0.000007998795,0.0033096452,0.00048193897,0.00016413658,0.000043039014,0.010604135,0.00035601083],"about_ca_topic_score_codex":0.9844649,"about_ca_topic_score_gemma":0.99902207,"teacher_disagreement_score":0.014557178,"about_ca_system_score_codex":0.003727185,"about_ca_system_score_gemma":0.0037207429,"threshold_uncertainty_score":0.9999571},"labels":[],"label_agreement":null},{"id":"W3129849844","doi":"10.1158/1055-9965.epi-20-1613","title":"Sex Hormones, Insulin, and Insulin-like Growth Factors in Recurrence of High-Stage Endometrial Cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":16,"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; Cancer Center, University of Colorado; Walter Reed National Military Medical Center; University of North Carolina at Chapel Hill; University of Illinois at Urbana-Champaign; National Institutes of Health; Northwestern University; York University; NRG Oncology; Wayne State University; American Congress of Obstetricians and Gynecologists; Brody School of Medicine; Pennsylvania State University; NorthShore University HealthSystem; University of Oklahoma; University of Cincinnati; Stony Brook University; University of Pittsburgh; Cancer Institute, University of Pittsburgh; University of Minnesota; Case Western Reserve University; Cleveland Clinic; Cleveland Clinic Foundation; University of Oklahoma Health Sciences Center; Albert Einstein Cancer Center; National Cancer Institute; Wake Forest University; Ohio State University; Georgia Clinical and Translational Science Alliance; University of Pennsylvania; Yale University; World Health Organization","keywords":"Endometrial cancer; Internal medicine; Medicine; Insulin; Endocrinology; Sex hormone-binding globulin; Insulin-like growth factor; Estrogen; Cancer; Estrone; Hormone; Oncology; Receptor; Growth factor; Androgen","score_opus":0.06674683085616537,"score_gpt":0.3631332847718343,"score_spread":0.296386453915669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129849844","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":[0.8864615,0.10935611,0.00026131418,0.0015082275,0.0014658492,0.0006227733,0.0001710667,0.000032500713,0.00012065978],"genre_scores_gemma":[0.93736154,0.060088072,0.0010372082,0.00035645906,0.00020962436,0.00021292416,0.00027812447,0.000024095412,0.00043194476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966607,0.0008618799,0.0010507011,0.0007475566,0.00020907466,0.00047006755],"domain_scores_gemma":[0.9973978,0.0013665085,0.00050001824,0.0002964124,0.00020534843,0.00023392732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011759017,0.0003108339,0.0012839484,0.00042653258,0.000059488215,0.000005621001,0.00011372651,0.00035065206,0.00043312152],"category_scores_gemma":[0.0024399029,0.0002628645,0.00023071247,0.0013328142,0.00025767006,0.00013755828,0.000113064874,0.00030381008,0.0000026125883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023520645,0.0003696486,0.906305,0.00034549247,0.0007809155,0.0000341018,0.00012386717,0.000007690003,0.0023013866,0.00031809605,0.00046626962,0.08659543],"study_design_scores_gemma":[0.013353978,0.00064157264,0.96522915,0.000619376,0.00043205323,0.000009858526,0.00015576347,0.000042919786,0.013277878,0.004242027,0.0016925847,0.00030280702],"about_ca_topic_score_codex":0.0073362854,"about_ca_topic_score_gemma":0.001240367,"teacher_disagreement_score":0.086292624,"about_ca_system_score_codex":0.00043391954,"about_ca_system_score_gemma":0.00042548895,"threshold_uncertainty_score":0.99998236},"labels":[],"label_agreement":null},{"id":"W3130410880","doi":"10.1158/1055-9965.epi-20-1618","title":"Stomach Cancer Incidence and Mortality Trends among Circumpolar Nations","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"B.C. Women's Hospital & Health Centre; Women's Health Research Institute; Institute of Population and Public Health; Yukon Health and Social Services; Canadian Centre for Applied Research in Cancer Control; Government of Northwest Territories; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Demography; Incidence (geometry); Circumpolar star; Mortality rate; Medicine; Stomach cancer; Cancer; Cancer incidence; Indigenous; Cancer registry; Epidemiology; Confidence interval; Biology; Internal medicine; Ecology","score_opus":0.0653128170611997,"score_gpt":0.4051607644496083,"score_spread":0.3398479473884086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130410880","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":[0.9617703,0.030108213,0.0029537673,0.003039741,0.00089029374,0.00021799748,0.000027376562,0.00013270199,0.0008595907],"genre_scores_gemma":[0.99315345,0.0030841122,0.0007901276,0.00050407846,0.00028032865,0.00034623686,0.00010275269,0.00002029957,0.0017185992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780756,0.00053505687,0.0005056239,0.00065200677,0.00015330482,0.00034643395],"domain_scores_gemma":[0.99868584,0.00030527875,0.0002719062,0.00031326356,0.0002156383,0.00020805813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010911878,0.00019897314,0.00050014333,0.00024460716,0.00023289464,0.00001181069,0.000062207146,0.0002651332,0.00049192726],"category_scores_gemma":[0.0007147918,0.00020002283,0.00019916719,0.0007052836,0.00027455605,0.0001887489,0.000067921486,0.00027385724,0.0000032833398],"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":[0.00031871488,0.000045051038,0.90803576,0.00008470008,0.00047776807,0.000015215657,0.00007629579,0.000022434488,0.0019716348,0.0001318996,0.0012480704,0.08757246],"study_design_scores_gemma":[0.000809276,0.00023100253,0.9917164,0.0003336296,0.00045068297,0.00006120309,0.000076486525,0.0018138799,0.0013652716,0.0013279719,0.0016259021,0.00018828225],"about_ca_topic_score_codex":0.0032229016,"about_ca_topic_score_gemma":0.011051232,"teacher_disagreement_score":0.08738418,"about_ca_system_score_codex":0.00037090035,"about_ca_system_score_gemma":0.00031452908,"threshold_uncertainty_score":0.8156694},"labels":[],"label_agreement":null},{"id":"W3132348352","doi":"10.1158/1055-9965.epi-20-1355","title":"Depot-Medroxyprogesterone Acetate Use Is Associated with Decreased Risk of Ovarian Cancer: The Mounting Evidence of a Protective Role of Progestins","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","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":"University of British Columbia","funders":"National Center for Research Resources; National Institute on Aging; National Institutes of Health; National Cancer Institute; Ovarian Cancer Research Fund","keywords":"Ovarian cancer; Medicine; Medroxyprogesterone acetate; Progestin; Gynecology; Cancer; Relative risk; Case-control study; Obstetrics; Confidence interval; Oncology; Internal medicine; Hormone","score_opus":0.0642455724335246,"score_gpt":0.3511147718902597,"score_spread":0.28686919945673506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132348352","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":[0.9638778,0.029838126,0.000616636,0.0035691115,0.00009138249,0.0018246565,0.00013678348,0.000024588793,0.000020940985],"genre_scores_gemma":[0.99207836,0.0034847131,0.0030277406,0.00015092672,0.000036403784,0.0010907326,0.00003811061,0.00003022375,0.00006277338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964667,0.0013944331,0.0009658795,0.0005650943,0.0002445698,0.0003633017],"domain_scores_gemma":[0.99496233,0.0015093136,0.002118881,0.00054122775,0.0007564476,0.00011180161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018011656,0.00026249443,0.0010476514,0.000092617236,0.00009177284,0.0000055481196,0.00012957679,0.00019919743,0.00008051195],"category_scores_gemma":[0.0030395263,0.00017895635,0.00029462093,0.0005889703,0.00042699208,0.00016505159,0.000066844885,0.00022445312,5.531814e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015347272,0.00048222617,0.9567837,0.0003158473,0.0052105314,0.000010888046,0.00042211128,0.00008687786,0.007919829,0.00006471716,0.00009885901,0.02706965],"study_design_scores_gemma":[0.0027335961,0.0007624953,0.91540664,0.0070567504,0.0029785049,0.000016228943,0.00020642093,0.0006650597,0.06909239,0.0008839823,0.00005192738,0.00014601556],"about_ca_topic_score_codex":0.0072198,"about_ca_topic_score_gemma":0.0029089057,"teacher_disagreement_score":0.06117256,"about_ca_system_score_codex":0.0003625894,"about_ca_system_score_gemma":0.0010864319,"threshold_uncertainty_score":0.9993912},"labels":[],"label_agreement":null},{"id":"W3134156817","doi":"10.1158/1055-9965.epi-20-1218","title":"Causal Effects of Lifetime Smoking on Breast and Colorectal Cancer Risk: Mendelian Randomization Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"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 Institute of Environmental Health Sciences; National Institute on Aging; NIHR Imperial Biomedical Research Centre; Medicinska fakulteten, Umeå Universitet; Instituto de Salud Carlos III; National Human Genome Research Institute; Cancer Council Victoria; Ontario Ministry of Research and Innovation; National Health and Medical Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; Knut och Alice Wallenbergs Stiftelse; World Cancer Research Fund; Medical Research Council; Xunta de Galicia; School of Public Health, Imperial College London; Deutsche Krebshilfe; U.S. Public Health Service; Associazione Italiana per la Ricerca sul Cancro; Chonnam National University; Centres de Recerca de Catalunya; Umeå Universitet; Vetenskapsrådet; Key Clinical Research Program of Southwest Hospital; Stockholms Läns Landsting; Cancer Research Foundation in Northern Sweden; Harvard T.H. Chan School of Public Health; Karolinska Institutet; Mutuelle Générale de l'Education Nationale; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Canadian Institutes of Health Research; Cancerfonden; National Cancer Institute; Fundación Científica Asociación Española Contra el Cáncer; University of South Florida; Swedish Cancer Foundation; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Institute for Health and Care Research; World Health Organization; Cancer Research UK; NIHR Bristol Biomedical Research Centre; Génome Québec; Imperial College London; Generalitat de Catalunya; Food Standards Agency; Mike and Josie Harper Cancer Research Institute; National Institutes of Health; National Heart, Lung, and Blood Institute; Florida Department of Health; Chonnam National University Hwasun Hospital; Pelotonia; Moffitt Cancer Center; McGill University; Brigham and Women's Hospital; Institut Gustave-Roussy; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Damon Runyon Cancer Research Foundation; Institut National de la Santé et de la Recherche Médicale; Memorial Sloan-Kettering Cancer Center; U.S. Department of Health and Human Services","keywords":"Mendelian randomization; Medicine; Breast cancer; Colorectal cancer; Internal medicine; Oncology; Confidence interval; Estrogen receptor; Cancer; Gynecology; Genotype; Genetics; Genetic variants; Biology","score_opus":0.012531267790049542,"score_gpt":0.31497941658531825,"score_spread":0.3024481487952687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134156817","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":[0.986182,0.008701376,0.0029467521,0.0007370917,0.00068716187,0.00061471784,0.00006104028,0.000013610286,0.000056276727],"genre_scores_gemma":[0.9932324,0.0049315663,0.0006607176,0.00023207898,0.000221895,0.0003078551,0.00019866628,0.000023647648,0.0001911716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99569994,0.0025823691,0.0006389326,0.00064967276,0.00008619378,0.0003429014],"domain_scores_gemma":[0.9983166,0.00052162004,0.0006274332,0.00025367204,0.0001800385,0.00010065588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018217484,0.00023039478,0.00059499516,0.000078899146,0.00015075688,0.0000052205314,0.00010067159,0.0003375763,0.00004690812],"category_scores_gemma":[0.001589152,0.00021802376,0.00016431209,0.0001577537,0.00014594888,0.000006263272,0.000106954656,0.00014135528,0.000001371097],"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":[0.00069306046,0.00022306423,0.9507451,0.000044230135,0.0012916765,0.0000024957076,0.0000772934,0.0006482163,0.026467182,0.000026336118,0.0020922094,0.017689157],"study_design_scores_gemma":[0.004519413,0.0006390766,0.9840497,0.00010761508,0.00043291537,0.0000121732555,0.00013646857,0.0005150843,0.008442107,0.0005986078,0.00031288824,0.00023399031],"about_ca_topic_score_codex":0.00051539636,"about_ca_topic_score_gemma":0.0008763022,"teacher_disagreement_score":0.033304583,"about_ca_system_score_codex":0.00006932501,"about_ca_system_score_gemma":0.0001712463,"threshold_uncertainty_score":0.8890751},"labels":[],"label_agreement":null},{"id":"W3136160617","doi":"10.1158/1055-9965.epi-20-1652","title":"Weight Regain and Breast Cancer–Related Biomarkers Following an Exercise Intervention in Postmenopausal Women","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Alberta; Alberta Cancer Foundation; Alberta Health Services","funders":"Alberta Innovates; Ministerio de Educación, Cultura y Deporte; Canadian Institutes of Health Research; University of Southern California; Alberta Cancer Foundation; Canadian Cancer Society","keywords":"Medicine; Breast cancer; Internal medicine; Sex hormone-binding globulin; Biomarker; Confidence interval; Insulin resistance; Estrone; Weight loss; Body mass index; Cancer; Endocrinology; Homeostatic model assessment; Obesity; Oncology; Physiology; Hormone; Biology; Androgen","score_opus":0.025396116394876024,"score_gpt":0.35764762303407777,"score_spread":0.3322515066392017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136160617","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":[0.95353925,0.04027461,0.00010291977,0.0037987507,0.0013420751,0.0006693655,0.00005226982,0.000117761716,0.00010296942],"genre_scores_gemma":[0.98661566,0.010675631,0.00072588434,0.0004007928,0.00013162999,0.0005177632,0.00031024983,0.000055124343,0.0005672415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963206,0.00083932595,0.0010173172,0.0009492351,0.00015356316,0.0007199554],"domain_scores_gemma":[0.9985856,0.00015457903,0.00037679562,0.00040934526,0.00009889479,0.00037479252],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002108052,0.00035092805,0.0009397915,0.00033858488,0.00011605491,0.000018299126,0.00010986778,0.0004179348,0.00069127715],"category_scores_gemma":[0.00013406255,0.0003405001,0.00027906106,0.0005955459,0.0001570701,0.00036692893,0.0000959245,0.0003220799,0.0000056032254],"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":[0.0015340142,0.0003388424,0.7664726,0.00022887174,0.0013616452,0.00013932459,0.0005730012,0.000006206906,0.0057305573,0.0000769945,0.0009303649,0.22260761],"study_design_scores_gemma":[0.0059086834,0.0004039056,0.98357195,0.0022709407,0.0005743616,0.0001462505,0.0008965925,0.0009737673,0.00041790362,0.003058709,0.0013433313,0.00043363616],"about_ca_topic_score_codex":0.0027081675,"about_ca_topic_score_gemma":0.0014190401,"teacher_disagreement_score":0.22217397,"about_ca_system_score_codex":0.0011923672,"about_ca_system_score_gemma":0.0003409229,"threshold_uncertainty_score":0.9999047},"labels":[],"label_agreement":null},{"id":"W3136894865","doi":"10.1158/1055-9965.epi-20-1775","title":"Genetically Inferred Telomere Length and Testicular Germ Cell Tumor Risk","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","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 Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; Networks of Centres of Excellence of Canada; Cancerfonden; Danish Cancer Society Research Center; Kreftforeningen; Kræftens Bekæmpelse; Nordic Cancer Union","keywords":"Telomere; Biology; Germ cell; Testicular Germ Cell Tumor; Germ cell tumors; Germ; Testicular cancer; Genetics; Cancer; DNA; Cell biology; Gene","score_opus":0.03623032699103671,"score_gpt":0.33782278927853693,"score_spread":0.3015924622875002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136894865","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":[0.94030577,0.05253198,0.0025543133,0.0026898365,0.0005784935,0.0005255735,0.000034538843,0.000119103825,0.0006604073],"genre_scores_gemma":[0.96787465,0.012076507,0.016376752,0.0019214216,0.0003253902,0.00012646405,0.0001388783,0.000049143622,0.0011108132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966058,0.00097083714,0.00080291944,0.0008563505,0.00016272443,0.00060134975],"domain_scores_gemma":[0.997595,0.00084405945,0.00041986792,0.0005250505,0.00022698632,0.00038901594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012845437,0.00032611715,0.0008076916,0.00013426844,0.00017135534,0.000013595483,0.000105935964,0.00027462977,0.00041802763],"category_scores_gemma":[0.002680802,0.00029623418,0.00024098584,0.00031617226,0.00040510853,0.000090268244,0.00010436501,0.00036954958,0.000038665345],"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":[0.0002678794,0.00021739231,0.8981685,0.00029492818,0.00040455253,0.00018279153,0.000075229065,0.000011216827,0.018590514,0.00016807609,0.004156166,0.07746277],"study_design_scores_gemma":[0.0021437572,0.00029277385,0.9734718,0.00035492898,0.0007299027,0.00025812132,0.00013604791,0.0011305787,0.0073906467,0.0034977696,0.010203547,0.00039010926],"about_ca_topic_score_codex":0.00021546244,"about_ca_topic_score_gemma":0.00012208444,"teacher_disagreement_score":0.077072665,"about_ca_system_score_codex":0.0001318399,"about_ca_system_score_gemma":0.0004815185,"threshold_uncertainty_score":0.999949},"labels":[],"label_agreement":null},{"id":"W3137108955","doi":"10.1158/1055-9965.epi-20-1088","title":"Disparities in Hepatocellular Carcinoma Incidence, Stage, and Survival: A Large Population-Based Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":74,"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":"National Cancer Institute; National Institutes of Health","keywords":"Hepatocellular carcinoma; Incidence (geometry); Stage (stratigraphy); Medicine; Oncology; Internal medicine; Population; Demography; Environmental health; Biology","score_opus":0.10207469055412584,"score_gpt":0.3565369476880019,"score_spread":0.2544622571338761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137108955","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":[0.9804651,0.01565938,0.00047587676,0.0018146931,0.00029123994,0.0011449418,0.000030126908,0.00005625166,0.000062390594],"genre_scores_gemma":[0.9968224,0.00027586368,0.00070077943,0.0003647669,0.00006932373,0.0004787359,0.00057850336,0.000030555977,0.0006790674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99636674,0.00154222,0.0007290189,0.0007000687,0.0001692101,0.00049273105],"domain_scores_gemma":[0.99859107,0.0005210129,0.00021246103,0.00038093724,0.000115834155,0.00017869344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020051647,0.00027553417,0.00080411765,0.00023319013,0.00012555468,0.000013829044,0.00006705328,0.00022864553,0.00027042645],"category_scores_gemma":[0.0004973071,0.0002644103,0.00018930003,0.00040204506,0.00006555395,0.00011959138,0.00007071697,0.00021121214,0.0000054857423],"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":[0.0002735744,0.00056420494,0.9964919,0.00018635912,0.00024968316,0.00034916017,0.00007341046,0.0000030203396,0.00010332729,0.00020030657,0.00010149691,0.0014035372],"study_design_scores_gemma":[0.0035430456,0.00027740607,0.98625064,0.00020861471,0.00031777535,0.000007246485,0.0002567302,0.007846628,0.00019853358,0.0006036267,0.00027012968,0.00021964984],"about_ca_topic_score_codex":0.0047137607,"about_ca_topic_score_gemma":0.0053155744,"teacher_disagreement_score":0.016357306,"about_ca_system_score_codex":0.0002659494,"about_ca_system_score_gemma":0.00029092713,"threshold_uncertainty_score":0.9999808},"labels":[],"label_agreement":null},{"id":"W3137228832","doi":"10.1158/1055-9965.epi-20-1635","title":"The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies","year":2021,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":"Public Health Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; National Cancer Institute; Sontag Foundation; Cancer Prevention and Research Institute of Texas; World Health Organization","keywords":"Lung cancer; Genetic architecture; Biology; Genome-wide association study; Heritability; Genetic association; Genetics; Linkage disequilibrium; Lung cancer susceptibility; Cancer; Single-nucleotide polymorphism; Quantitative trait locus; Genotype; Oncology; Medicine; Gene","score_opus":0.05728605930400563,"score_gpt":0.39672162612744294,"score_spread":0.3394355668234373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137228832","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":[0.013412761,0.98267454,0.00024175504,0.0017198767,0.00067050435,0.0010746103,0.00017973343,0.00001608607,0.000010140136],"genre_scores_gemma":[0.0014800269,0.99389243,0.0008224974,0.00032439808,0.00069422333,0.0010325535,0.0008752681,0.000062423205,0.00081615435],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99274457,0.0036170268,0.00156484,0.0011013126,0.00012012268,0.0008521474],"domain_scores_gemma":[0.99247205,0.005166983,0.0015669211,0.0005086113,0.0001671032,0.00011830548],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032355683,0.0005679385,0.002102447,0.00015154366,0.0003354365,0.00002280964,0.00037745672,0.0010773385,0.000016951954],"category_scores_gemma":[0.009058928,0.0004378342,0.000602588,0.00027463652,0.00023309316,0.0000047911412,0.0003703031,0.0004430812,0.0000028038198],"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":[0.000016851372,0.00001602084,0.6549276,0.0008511013,0.004200222,0.0000011909077,0.00004258945,0.00010693345,0.000006605142,0.0000025466184,0.0070414823,0.33278683],"study_design_scores_gemma":[0.0005571641,0.000082645856,0.40000576,0.0021899974,0.0018615202,0.000004168683,0.00007059637,0.000061505394,0.0000026583634,0.0006166339,0.5939209,0.00062646245],"about_ca_topic_score_codex":0.00030529697,"about_ca_topic_score_gemma":0.0032621196,"teacher_disagreement_score":0.58687943,"about_ca_system_score_codex":0.0006436916,"about_ca_system_score_gemma":0.0005251601,"threshold_uncertainty_score":0.99980736},"labels":[],"label_agreement":null},{"id":"W3141783609","doi":"10.1158/1055-9965.epi-21-0199","title":"Breast Cancer Surgery Experiences and Outcomes in Sex and Gender Minority Individuals: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","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":"CINAHL; Critical appraisal; PsycINFO; Breast cancer; Transgender; Checklist; Thematic analysis; Medicine; Health care; Inclusion (mineral); MEDLINE; Qualitative research; Family medicine; Psychology; Gerontology; Clinical psychology; Nursing; Cancer; Alternative medicine; Psychological intervention; Social psychology; Pathology","score_opus":0.20976193126993634,"score_gpt":0.5057047059519953,"score_spread":0.295942774682059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141783609","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":[0.0007594881,0.99309486,0.0000066506204,0.0010907145,0.001935468,0.0027236957,0.00021639871,0.00004144405,0.0001312529],"genre_scores_gemma":[0.000042290558,0.9897464,0.00003193798,0.00084884925,0.00025660952,0.007310155,0.00015171993,0.000044185195,0.001567885],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9842051,0.0106048,0.0028686516,0.0013061321,0.00017407033,0.000841243],"domain_scores_gemma":[0.9924297,0.004525523,0.0020027237,0.00069384393,0.000075056596,0.00027315354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00728364,0.00072743796,0.0069751674,0.00050095684,0.00016338978,0.000029961458,0.0003023315,0.0009461084,0.00070235797],"category_scores_gemma":[0.001107778,0.0005796106,0.0007373055,0.00052148866,0.0004121827,0.00017019124,0.00017927364,0.00053341803,0.000017890483],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000340644,0.000056308505,0.2571394,0.61056775,0.001168317,0.000012231921,0.0003218177,6.3281966e-9,2.9786043e-9,0.00007923225,0.010882227,0.11976932],"study_design_scores_gemma":[0.0008128161,0.000047316353,0.23713477,0.6921218,0.01941917,0.0012961209,0.00089139846,0.0000017941783,7.741277e-9,0.0013505563,0.044793095,0.0021311303],"about_ca_topic_score_codex":0.0062304838,"about_ca_topic_score_gemma":0.0011119676,"teacher_disagreement_score":0.117638186,"about_ca_system_score_codex":0.0003627494,"about_ca_system_score_gemma":0.0006898034,"threshold_uncertainty_score":0.99966556},"labels":[],"label_agreement":null},{"id":"W3152114988","doi":"10.1158/1055-9965.epi-20-0997","title":"Urinary Cotinine and Cotinine + Trans-3′-Hydroxycotinine (TNE-2) Cut-points for Distinguishing Tobacco Use from Nonuse in the United States: PATH Study (2013–2014)","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Center for Tobacco Products; National Institute on Drug Abuse; Centers for Disease Control and Prevention; U.S. Department of Health and Human Services; Government of Canada; National Institutes of Health; Pfizer","keywords":"Cotinine; Medicine; Environmental health; Nicotine; Internal medicine","score_opus":0.1023256670887198,"score_gpt":0.3895810964995033,"score_spread":0.28725542941078347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152114988","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":[0.98847836,0.0014047142,0.0017859236,0.0058453493,0.00061729137,0.0016085344,0.00017444191,0.00007222061,0.000013152],"genre_scores_gemma":[0.99097604,0.0011317523,0.001252452,0.0013795864,0.00023960354,0.00046867674,0.0043458478,0.000045251287,0.00016078253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958498,0.0016387795,0.0010069172,0.00081166526,0.00020589874,0.00048697545],"domain_scores_gemma":[0.9959202,0.0027355207,0.00043696666,0.0005251914,0.0002476575,0.0001345045],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034731964,0.00033031337,0.0007739082,0.0001951319,0.00018535389,0.00003569057,0.00015965357,0.00025153905,0.00017350576],"category_scores_gemma":[0.0020503523,0.00026568127,0.00016785238,0.00044929836,0.00017155161,0.00019490765,0.000061361905,0.00038418864,0.0000014245729],"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":[0.00091638265,0.000949561,0.98571736,0.00006641336,0.0003309473,0.000078519915,0.0019819362,0.000031940366,0.00028194409,0.000020451056,0.0051384256,0.004486093],"study_design_scores_gemma":[0.0061365208,0.0008883564,0.9838465,0.000597613,0.00087280985,0.00004664149,0.0030494602,0.0011432288,0.0000992809,0.00062337425,0.0024330453,0.00026317086],"about_ca_topic_score_codex":0.0036407325,"about_ca_topic_score_gemma":0.001654139,"teacher_disagreement_score":0.0052201385,"about_ca_system_score_codex":0.00015301078,"about_ca_system_score_gemma":0.00013032468,"threshold_uncertainty_score":0.99997956},"labels":[],"label_agreement":null},{"id":"W3154582664","doi":"10.1158/1055-9965.epi-20-1762","title":"Use of Medications for Treating Anxiety or Depression among Testicular Cancer Survivors: A Multi-Institutional Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Testicular diseases and treatments","field":"Medicine","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 of British Columbia; Princess Margaret Cancer Centre","funders":"National Cancer Institute","keywords":"Depression (economics); Testicular cancer; Anxiety; Medicine; Psychiatry; Cancer; Oncology; Internal medicine","score_opus":0.1311499184074962,"score_gpt":0.42937484854507896,"score_spread":0.2982249301375828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154582664","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":[0.9542698,0.013186833,0.029555758,0.0005239148,0.0003554406,0.0018211105,0.00022050098,0.000059916838,0.0000066797043],"genre_scores_gemma":[0.9719468,0.00096939265,0.02389305,0.0001201986,0.00010132401,0.0018388692,0.00066156,0.00002350927,0.00044531195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979539,0.000431132,0.00064443843,0.0005485285,0.00014413704,0.00027789138],"domain_scores_gemma":[0.99777216,0.0008834097,0.00043326512,0.00035175958,0.00036726537,0.00019214212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005147863,0.00021267292,0.0005715911,0.000083344436,0.00018488606,0.0000058332457,0.00006196976,0.00015297442,0.00019000439],"category_scores_gemma":[0.0027322809,0.00015120348,0.00029926636,0.00026356254,0.00020183374,0.00013619801,0.00004984163,0.00008524041,0.000001207993],"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":[0.00040693753,0.0015400542,0.96586615,0.00016570506,0.0022706285,0.00002551842,0.00006476605,0.00029859206,0.0008783196,0.000019513189,0.00027224197,0.0281916],"study_design_scores_gemma":[0.003459261,0.00020774819,0.98292047,0.0008710737,0.0030401268,0.000020934363,0.00015935044,0.008274016,0.00051073625,0.000094446565,0.0003062926,0.00013553532],"about_ca_topic_score_codex":0.0033918165,"about_ca_topic_score_gemma":0.005282317,"teacher_disagreement_score":0.028056065,"about_ca_system_score_codex":0.00021539273,"about_ca_system_score_gemma":0.0007147925,"threshold_uncertainty_score":0.6165899},"labels":[],"label_agreement":null},{"id":"W3154794407","doi":"10.1158/1055-9965.epi-20-1690","title":"Circulating Levels of Testosterone, Sex Hormone Binding Globulin and Colorectal Cancer Risk: Observational and Mendelian Randomization Analyses","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hormonal and reproductive studies","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":"Cancer Care Ontario; Public Health Ontario; University of Toronto","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Institute of Environmental Health Sciences; National Institute on Aging; NIHR Imperial Biomedical Research Centre; Medicinska fakulteten, Umeå Universitet; Instituto de Salud Carlos III; National Human Genome Research Institute; Cancer Council Victoria; Ontario Ministry of Research and Innovation; National Health and Medical Research Council; Medical Research Council; National Center for Advancing Translational Sciences; Seventh Framework Programme; U.S. Public Health Service; Xunta de Galicia; Centers for Disease Control and Prevention; Chonnam National University Hwasun Hospital; Institut National Du Cancer; School of Public Health, Imperial College London; Deutsche Krebshilfe; Michigan Department of Health and Human Services; Associazione Italiana per la Ricerca sul Cancro; Vetenskapsrådet; Stockholms Läns Landsting; Cancer Research Foundation in Northern Sweden; Karolinska Institutet; Mutuelle Générale de l'Education Nationale; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Chonnam National University; Centres de Recerca de Catalunya; Umeå Universitet; Ministerstvo Zdravotnictví Ceské Republiky; Cancerfonden; Institut Gustave-Roussy; Grantová Agentura České Republiky; Canadian Cancer Society Research Institute; Institut National de la Santé et de la Recherche Médicale; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Institute for Health and Care Research; World Health Organization; Wageningen University and Research; Cancer Research UK; Génome Québec; Ligue Contre le Cancer; Federación Española de Enfermedades Raras; Imperial College London; Generalitat de Catalunya; Food Standards Agency; Transcan; University of South Florida; Swedish Cancer Foundation; National Cancer Institute; Fundación Científica Asociación Española Contra el Cáncer; Canadian Institutes of Health Research; University Hospitals Bristol NHS Foundation Trust; National Heart, Lung, and Blood Institute; Florida Department of Health; National Institutes of Health; Mike and Josie Harper Cancer Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; World Cancer Research Fund; Knut och Alice Wallenbergs Stiftelse; Damon Runyon Cancer Research Foundation; University of Bristol; Moffitt Cancer Center; Department of Health and Social Care; McGill University; Johns Hopkins University; Memorial Sloan-Kettering Cancer Center; U.S. Department of Health and Human Services; Deutsches Krebsforschungszentrum","keywords":"Mendelian randomization; Sex hormone-binding globulin; Colorectal cancer; Testosterone (patch); Medicine; Observational study; Internal medicine; Oncology; Cancer; Hormone; Endocrinology; Physiology; Androgen; Biology; Genetics; Genotype","score_opus":0.1808176031266283,"score_gpt":0.4249703960233164,"score_spread":0.24415279289668806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154794407","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":[0.9361447,0.05949322,0.0016939394,0.0020320893,0.00014108107,0.00033212747,0.00007816099,0.000018920597,0.000065763954],"genre_scores_gemma":[0.9864119,0.009390522,0.0035710179,0.000073874544,0.00015725907,0.00007993408,0.00009608031,0.000012363053,0.00020704672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980409,0.000540148,0.00059984653,0.0004975916,0.00011214919,0.00020934099],"domain_scores_gemma":[0.9985341,0.00054805714,0.00047093994,0.000105025436,0.00026302843,0.0000788409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012996495,0.00016876256,0.0007088782,0.00010259287,0.00017347482,0.0000043438986,0.000027265747,0.00012892099,0.0000434912],"category_scores_gemma":[0.0015918664,0.00013861248,0.000106267915,0.00028380574,0.00028966813,0.00010160366,0.00006927386,0.00012247555,4.1604258e-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":[0.00052109535,0.000039419152,0.7752059,0.000107142834,0.0013318548,0.000004497543,0.0001903323,0.00011349062,0.19524835,0.00003339448,0.00016042311,0.027044062],"study_design_scores_gemma":[0.0029803175,0.0001221006,0.9843293,0.00023884344,0.00067294936,0.000031459156,0.00039647563,0.0017332251,0.008235529,0.0010745742,0.000051796284,0.00013343272],"about_ca_topic_score_codex":0.0003512788,"about_ca_topic_score_gemma":0.00016752578,"teacher_disagreement_score":0.20912336,"about_ca_system_score_codex":0.00010023378,"about_ca_system_score_gemma":0.00015306378,"threshold_uncertainty_score":0.56524533},"labels":[],"label_agreement":null},{"id":"W3157379208","doi":"10.1158/1055-9965.epi-20-1544","title":"Biomarkers of Potential Harm among Adult Cigarette and Smokeless Tobacco Users in the PATH Study Wave 1 (2013–2014): A Cross-sectional Analysis","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","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":"National Center for Advancing Translational Sciences; National Institute on Drug Abuse; Centers for Disease Control and Prevention; Center for Tobacco Products; Food and Drug Administration; U.S. Department of Health and Human Services; National Institutes of Health; Hamilton Health Sciences Foundation","keywords":"Smokeless tobacco; Harm; Medicine; Environmental health; Cross-sectional study; Path analysis (statistics); Tobacco use; Psychology; Pathology; Computer science; Population; Social psychology","score_opus":0.05341824332381572,"score_gpt":0.3750811523408789,"score_spread":0.3216629090170632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157379208","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":[0.9960798,0.0009939742,0.00074313226,0.0009054092,0.0005234396,0.0006713591,0.000033337055,0.000024166184,0.000025378722],"genre_scores_gemma":[0.99839437,0.00047508584,0.00012024146,0.00025034917,0.000090248715,0.00021549925,0.00036352334,0.00001645063,0.00007423744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99631804,0.0013702697,0.00094530196,0.0006973013,0.0003219906,0.00034712165],"domain_scores_gemma":[0.9982772,0.00032852433,0.0005129337,0.0004567589,0.00033174912,0.000092865754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003381793,0.00022977403,0.0006625154,0.00036552976,0.00013338513,0.000023240787,0.00011905762,0.0003132671,0.00026987522],"category_scores_gemma":[0.00038284645,0.00018536586,0.0003875099,0.0008572451,0.000373475,0.00015362592,0.00006204236,0.0002883049,4.8788604e-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":[0.0004580839,0.0003608833,0.9918746,0.000040510076,0.00250311,0.000048721697,0.00034553613,0.000059644022,0.00046215978,0.000018040675,0.00058649696,0.0032422566],"study_design_scores_gemma":[0.0021770978,0.0001787239,0.99251264,0.00008810708,0.002241194,0.000026664859,0.0016903033,0.00056212815,0.00017325727,0.00017609156,0.000012665958,0.00016111862],"about_ca_topic_score_codex":0.0025965169,"about_ca_topic_score_gemma":0.0016227504,"teacher_disagreement_score":0.0030811378,"about_ca_system_score_codex":0.00018896868,"about_ca_system_score_gemma":0.00014568973,"threshold_uncertainty_score":0.7559001},"labels":[],"label_agreement":null},{"id":"W3161147056","doi":"10.1158/1055-9965.epi-20-1272","title":"Male Circumcision Reduces Penile HPV Incidence and Persistence: A Randomized Controlled Trial in Kenya","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genital Health and Disease","field":"Medicine","cited_by":23,"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 Manitoba; Manitoba Health","funders":"Center for AIDS Research, University of North Carolina at Chapel Hill; National Cancer Institute; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Medicine; Incidence (geometry); Male circumcision; Randomized controlled trial; HPV infection; Gynecology; Cumulative incidence; Internal medicine; Cohort; Population; Cancer; Cervical cancer","score_opus":0.05316240823890929,"score_gpt":0.38697385190134115,"score_spread":0.3338114436624319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161147056","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":[0.91886765,0.07056024,0.00013293135,0.0051724263,0.0008233489,0.0033766525,0.000005430176,0.000025658397,0.001035693],"genre_scores_gemma":[0.99251735,0.0018701721,0.0008910942,0.000972729,0.00018329652,0.0012242098,0.00007128771,0.000011672798,0.0022581688],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9953075,0.002390994,0.0011533856,0.000581218,0.00014826734,0.00041861934],"domain_scores_gemma":[0.99688107,0.001984418,0.00040033937,0.0002372405,0.0001548163,0.00034212458],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0048441226,0.00019910428,0.0017675788,0.00017176833,0.00009664559,0.000008133686,0.000065359665,0.00024801758,0.0008946702],"category_scores_gemma":[0.008549213,0.00015977888,0.00049021706,0.0002318508,0.00030177468,0.00011250305,0.000050157832,0.00019507692,0.000012524854],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.94896704,0.00020181417,0.039581858,0.0001985329,0.00012549738,0.000074727584,0.00010744815,0.0000036833724,0.0005568145,0.00006177562,0.001235344,0.008885447],"study_design_scores_gemma":[0.9517489,0.00030314265,0.040901456,0.000257045,0.0006189807,0.00013552679,0.0003240491,0.0011758881,0.00007912266,0.0041652736,0.000121040044,0.00016955055],"about_ca_topic_score_codex":0.00016174893,"about_ca_topic_score_gemma":0.00011747318,"teacher_disagreement_score":0.07364975,"about_ca_system_score_codex":0.00016352154,"about_ca_system_score_gemma":0.00084852584,"threshold_uncertainty_score":0.9998022},"labels":[],"label_agreement":null},{"id":"W3163554303","doi":"10.1158/1055-9965.epi-20-1848","title":"Genetically Predicted Circulating C-Reactive Protein Concentration and Colorectal Cancer Survival: A Mendelian Randomization Consortium Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":10,"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","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Cancer Institute; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; Instituto de Salud Carlos III; Centers for Disease Control and Prevention; Institut Gustave-Roussy; Associazione Italiana per la Ricerca sul Cancro; NordForsk; Vetenskapsrådet; Canadian Institutes of Health Research; Cancerfonden; Ontario Ministry of Research and Innovation; Deutsches Krebsforschungszentrum; Ligue Contre le Cancer; Bundesministerium für Bildung und Forschung; Institut National de la Santé et de la Recherche Médicale; Deutsche Krebshilfe; University of Pittsburgh; World Cancer Research Fund; Danish Cancer Society Research Center; Health and Medical Research Fund; Fred Hutchinson Cancer Research Center; Hellenic Health Foundation; Kræftens Bekæmpelse; American Cancer Society; Johns Hopkins University; Canadian Cancer Society; Centre International de Recherche sur le Cancer; European Commission; World Health Organization; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Mendelian randomization; Colorectal cancer; Hazard ratio; Oncology; Medicine; Proportional hazards model; Internal medicine; Confounding; Cancer; Confidence interval; Genotype; Biology; Genetics; Genetic variants","score_opus":0.054553097074162456,"score_gpt":0.36965205085906494,"score_spread":0.3150989537849025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163554303","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":[0.98453814,0.005381542,0.0028698656,0.0020907708,0.00063685444,0.0040565915,0.00005425244,0.00015284594,0.00021912008],"genre_scores_gemma":[0.9943293,0.00034381283,0.0020443613,0.00027197498,0.00021685584,0.0023242605,0.00032759743,0.00004517028,0.00009671099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946781,0.0025203396,0.0010933895,0.0009321412,0.00026886215,0.000507187],"domain_scores_gemma":[0.997739,0.00048042755,0.0005979333,0.00028523055,0.00060621893,0.0002911826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020309396,0.00033919644,0.0008492088,0.000087499284,0.0002260071,0.000024250012,0.000079061836,0.00032293494,0.00033637517],"category_scores_gemma":[0.0021122545,0.000333792,0.00019482497,0.0003879929,0.00036730955,0.00017480674,0.000087096305,0.00023504335,0.0000026890946],"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":[0.004264409,0.000393531,0.89729303,0.00018633006,0.0023226202,0.00005933302,0.00026989117,0.00002769302,0.082937375,0.00009689548,0.00026360186,0.011885269],"study_design_scores_gemma":[0.013905294,0.00036054954,0.95893353,0.00067114574,0.0016324082,0.000036669153,0.00076739927,0.007909508,0.014516002,0.00075195846,0.00013183712,0.00038368662],"about_ca_topic_score_codex":0.00015712163,"about_ca_topic_score_gemma":0.00028814113,"teacher_disagreement_score":0.06842138,"about_ca_system_score_codex":0.00042991232,"about_ca_system_score_gemma":0.0007919046,"threshold_uncertainty_score":0.9999114},"labels":[],"label_agreement":null},{"id":"W3169017124","doi":"10.1158/1055-9965.epi-21-0154","title":"Longitudinal Evaluation of Neuromuscular Dysfunction in Long-term Survivors of Childhood Cancer: A Report from the Childhood Cancer Survivor Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","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":"Hospital for Sick Children; University of Alberta","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; American Lebanese Syrian Associated Charities","keywords":"Medicine; Cumulative incidence; Incidence (geometry); Cancer; Depression (economics); Radiation therapy; Confidence interval; Longitudinal study; Internal medicine; Pediatrics; Cancer registry; Cohort","score_opus":0.09183838744595339,"score_gpt":0.4094826905657385,"score_spread":0.3176443031197851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169017124","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":[0.9335413,0.054053415,0.00041099894,0.0058950265,0.002822286,0.0030124348,0.00015792227,0.00005638312,0.00005022093],"genre_scores_gemma":[0.99261457,0.004203629,0.0001533524,0.0004766655,0.0006404035,0.0011327416,0.00063000823,0.0000730054,0.00007565037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866392,0.0068284967,0.003040093,0.0015773928,0.0012501006,0.00066472805],"domain_scores_gemma":[0.99333143,0.001434852,0.0023389044,0.0015470501,0.0011501437,0.00019763282],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012484093,0.00055348536,0.0019510761,0.00027904176,0.00014982276,0.000012225224,0.0003704846,0.00039533759,0.0009954262],"category_scores_gemma":[0.0036355248,0.00048037348,0.0006912817,0.0012329055,0.00037227944,0.00024803897,0.00020669102,0.0006294435,0.000003365217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057813106,0.0020909728,0.9604652,0.00021714749,0.003010934,0.000050143462,0.0017233379,0.00052527257,0.000727162,0.00000759168,0.00053029356,0.030073807],"study_design_scores_gemma":[0.006255763,0.0003694183,0.98501754,0.0020100467,0.0030833683,0.00005202605,0.00093685795,0.00021594517,0.0010464938,0.0005886165,0.00005812769,0.00036577295],"about_ca_topic_score_codex":0.074555695,"about_ca_topic_score_gemma":0.21021895,"teacher_disagreement_score":0.13566327,"about_ca_system_score_codex":0.00072142325,"about_ca_system_score_gemma":0.0025053779,"threshold_uncertainty_score":0.9999178},"labels":[],"label_agreement":null},{"id":"W3173957118","doi":"10.1158/1055-9965.epi-20-1817","title":"Identification of a Locus Near <i>ULK1</i> Associated With Progression-Free Survival in Ovarian Cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"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 Centre for Applied Research in Cancer Control; University of British Columbia; BC Cancer Agency; Princess Margaret Cancer Centre","funders":"Congressionally Directed Medical Research Programs; National Cancer Institute; National Center for Research Resources; Centre for Intervention Science in Maternal and Child Health, University of Bergen; Instituto de Salud Carlos III; National Center for Advancing Translational Sciences; Medical Research Council; Department of Defence, Australian Government; Canadian Institutes of Health Research; Helse Vest; Ministerio de Economía y Competitividad; Génome Québec; Universitetet i Bergen; McGill University; Mayo Foundation for Medical Education and Research; University of Leeds; Haukeland Universitetssjukehus; Fred C. and Katherine B. Andersen Foundation; Medical Research and Materiel Command; Georgia Clinical and Translational Science Alliance; U.S. Department of Defense; Breast Cancer Research Foundation; Oregon Health and Science University; Vanderbilt University; National Institutes of Health; Ovarian Cancer Research Fund; National Health and Medical Research Council; Norges Forskningsråd; Cancer Research UK; Minnesota Ovarian Cancer Alliance","keywords":"Ovarian cancer; Medicine; Oncology; Identification (biology); Progression-free survival; Locus (genetics); Internal medicine; Cancer; Overall survival; Biology; Genetics; Gene","score_opus":0.026820593913562025,"score_gpt":0.3570614317155315,"score_spread":0.3302408378019695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173957118","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":[0.85342747,0.05345889,0.08012627,0.007779269,0.001945643,0.0022879026,0.00044141547,0.00006689724,0.00046624607],"genre_scores_gemma":[0.992531,0.0030833203,0.0013841722,0.000235259,0.00014001087,0.0007464974,0.00091605075,0.00006780311,0.0008958884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962088,0.0014479826,0.00077425275,0.0007890594,0.00026413784,0.0005157886],"domain_scores_gemma":[0.998075,0.00012086266,0.00056842656,0.00071498414,0.00040694873,0.00011375664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023853013,0.0002358201,0.00046376488,0.000104106526,0.00009291724,0.000014368559,0.00033237453,0.0004846021,0.00011169888],"category_scores_gemma":[0.001670405,0.0002295167,0.0001736337,0.00057635986,0.00029055556,0.000014042808,0.00021082365,0.00024517995,0.0000022373545],"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":[0.0008776903,0.00027124342,0.03493925,0.00008879602,0.0009001305,0.000020622454,0.00004381303,0.0012225477,0.9464057,0.00020378061,0.0022929425,0.012733474],"study_design_scores_gemma":[0.007077015,0.0006601526,0.088940166,0.001321939,0.0002978312,0.000021572048,0.00015183145,0.0019782393,0.8909366,0.0041259355,0.0037113042,0.00077741547],"about_ca_topic_score_codex":0.00036909967,"about_ca_topic_score_gemma":0.0049161376,"teacher_disagreement_score":0.13910355,"about_ca_system_score_codex":0.00021362705,"about_ca_system_score_gemma":0.0009891707,"threshold_uncertainty_score":0.93594193},"labels":[],"label_agreement":null},{"id":"W3181243524","doi":"10.1158/1538-7755.asgcr21-60","title":"Abstract 60: Cancer Navigator: A Video-Based Support and Education Tool for Cancer Patients and Their Caregivers","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","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":"York University","funders":"","keywords":"Hospital Anxiety and Depression Scale; Focus group; Medicine; Anxiety; Thematic analysis; Distress; Cancer; Population; Depression (economics); Family medicine; Physical therapy; Qualitative research; Nursing; Psychiatry; Clinical psychology; Internal medicine","score_opus":0.030511510155237617,"score_gpt":0.3541944284795131,"score_spread":0.3236829183242755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181243524","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":[0.94385886,0.04170345,0.00030269357,0.009663793,0.002641827,0.0011802337,0.00044474003,0.000056502864,0.00014788093],"genre_scores_gemma":[0.98649514,0.005331973,0.0003356865,0.0039238967,0.0003476035,0.0018889104,0.00086700794,0.000043665783,0.0007661214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980468,0.00019776422,0.00051034545,0.0007289957,0.000102928985,0.00041316176],"domain_scores_gemma":[0.9984235,0.00032853024,0.00033276412,0.00025551178,0.00043307262,0.00022658828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006036312,0.00029134905,0.0006010251,0.000098478406,0.00014954731,0.000016256701,0.00006592665,0.00028460682,0.0003530523],"category_scores_gemma":[0.00026707922,0.0002633812,0.00021959837,0.00016530063,0.00020147164,0.00015439969,0.000038770937,0.00017251405,0.0000012685196],"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":[0.00078444206,0.00018031626,0.610092,0.0010190301,0.0006038631,0.0000030361396,0.0006538328,0.000009782872,0.0026303723,0.000054905562,0.035284065,0.34868437],"study_design_scores_gemma":[0.0041731135,0.0003275678,0.89441794,0.0015030472,0.00072007097,0.000009283962,0.0010922374,0.00017297603,0.004465935,0.0012767159,0.0913044,0.0005367316],"about_ca_topic_score_codex":0.0031423355,"about_ca_topic_score_gemma":0.0054962514,"teacher_disagreement_score":0.34814766,"about_ca_system_score_codex":0.00048834755,"about_ca_system_score_gemma":0.0016060661,"threshold_uncertainty_score":0.9999818},"labels":[],"label_agreement":null},{"id":"W3181676326","doi":"10.1158/1538-7755.asgcr21-81","title":"Abstract 81: Studying Ghanian Cancer Genomes Using Cell-free DNA","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Calgary; McGill University Health Centre","funders":"","keywords":"Concordance; Breast cancer; Copy-number variation; Cancer; Oncology; Genome; Medicine; Internal medicine; Cancer genetics; Gene; Biology; Genetics; Bioinformatics","score_opus":0.05926364602436238,"score_gpt":0.3489974939350394,"score_spread":0.289733847910677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181676326","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":[0.867954,0.12512545,0.0025253193,0.0013660992,0.0018969312,0.0003609881,0.00017309916,0.000026016465,0.00057208317],"genre_scores_gemma":[0.9562636,0.03235023,0.0062555317,0.0018753989,0.0014537859,0.00022425494,0.00047570007,0.00008896961,0.0010125509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99749744,0.00029006955,0.00064370065,0.0008608816,0.000104430226,0.00060347497],"domain_scores_gemma":[0.9983245,0.00014325415,0.000416844,0.0007450567,0.00018920394,0.00018113994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081314665,0.00031394698,0.0004499915,0.00007346982,0.00021492079,0.000024654191,0.00033619974,0.00036114847,0.00031667587],"category_scores_gemma":[0.00040603706,0.00034406295,0.0003085798,0.00016745314,0.0001476152,0.0000118451835,0.0003398903,0.00016192188,0.0000082664865],"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":[0.00024996485,0.00022076271,0.1930882,0.00017628282,0.00097575807,0.000028623985,0.00007684413,0.0018682898,0.7439383,0.000112036956,0.027181406,0.032083523],"study_design_scores_gemma":[0.0074216872,0.0005461991,0.24838871,0.00074333657,0.0012724118,0.000077482015,0.0009925839,0.0017496696,0.47837982,0.009177333,0.24845937,0.002791406],"about_ca_topic_score_codex":0.00049399654,"about_ca_topic_score_gemma":0.0018515039,"teacher_disagreement_score":0.26555848,"about_ca_system_score_codex":0.00022715863,"about_ca_system_score_gemma":0.00069467776,"threshold_uncertainty_score":0.9999011},"labels":[],"label_agreement":null},{"id":"W3182068244","doi":"10.1158/1538-7755.asgcr21-17","title":"Abstract 17: Adaptation and Assessment of a Text Message Cessation Intervention for Tobacco Users in Viet Nam","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Smoking cessation; Focus group; Vietnamese; Short Message Service; Medicine; Psychological intervention; Intervention (counseling); Context (archaeology); mHealth; Psychology; Nursing; Computer science","score_opus":0.10618561527373588,"score_gpt":0.4320476429911105,"score_spread":0.3258620277173746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182068244","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":[0.9767056,0.0018875899,0.018211076,0.0018207993,0.000405624,0.0007208048,0.000021317112,0.000024607476,0.0002025436],"genre_scores_gemma":[0.99360687,0.00072750606,0.004279288,0.000112527654,0.000050079,0.00033716083,0.00070880674,0.000015226666,0.00016251845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823135,0.00030525913,0.00076503155,0.00038371334,0.00011756746,0.00019708068],"domain_scores_gemma":[0.9987537,0.00032455358,0.00050269807,0.00017609131,0.00018793716,0.000054997818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020387678,0.0001390324,0.00041985046,0.0001795653,0.000045985646,0.0000069329267,0.000040441137,0.00023037822,0.00016904555],"category_scores_gemma":[0.00037976,0.00014237508,0.00017667684,0.00020600155,0.00007665196,0.00020196047,0.000020925429,0.00014346077,2.256338e-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":[0.00026771746,0.00021739947,0.840147,0.00030415773,0.00015510964,0.0000024695103,0.00010227051,0.0000691084,0.0056595774,0.00039750224,0.00049798016,0.1521797],"study_design_scores_gemma":[0.0028010625,0.0001795448,0.98983115,0.0008984733,0.0002536973,0.0000062860872,0.000621769,0.0018958477,0.0010980798,0.0019110416,0.00039025774,0.00011281137],"about_ca_topic_score_codex":0.0002263355,"about_ca_topic_score_gemma":0.00064644654,"teacher_disagreement_score":0.1520669,"about_ca_system_score_codex":0.0002771632,"about_ca_system_score_gemma":0.00017329582,"threshold_uncertainty_score":0.58058876},"labels":[],"label_agreement":null},{"id":"W3182788443","doi":"10.1158/1055-9965.epi-21-0266","title":"Characteristics and Outcomes of Over 300,000 Patients with COVID-19 and History of Cancer in the United States and Spain","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"COVID-19 and healthcare impacts","field":"Medicine","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":"Kensington Health","funders":"National Health and Medical Research Council; Medical Research Council; Janssen Research and Development; National Institutes of Health; Ministry of Trade, Industry and Energy; European Federation of Pharmaceutical Industries and Associations; NIHR Oxford Biomedical Research Centre; Royal College of Surgeons of England; Wellcome Trust; Centre International de Recherche sur le Cancer; Aziz Foundation; World Health Organization; European Commission; Instituto de Salud Carlos III; Bill and Melinda Gates Foundation; Korea Health Industry Development Institute; Generalitat de Catalunya; National Institute for Health and Care Research; U.S. Department of Veterans Affairs; Innovative Medicines Initiative; National Science Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cancer; Demography; Gerontology; Internal medicine; Virology; Disease; Outbreak; Sociology","score_opus":0.06766366190423566,"score_gpt":0.40736732691673294,"score_spread":0.33970366501249727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182788443","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":[0.97569966,0.014651931,0.00011417374,0.008939181,0.00011248062,0.00036287901,0.000108077154,0.0000060531434,0.000005538211],"genre_scores_gemma":[0.97735673,0.013981015,0.0001459138,0.008160371,0.000017957356,0.000038641694,0.00017887133,0.000010119404,0.000110384535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845415,0.00060373574,0.0004369022,0.00023865119,0.000086462605,0.00018011907],"domain_scores_gemma":[0.99801505,0.0012457839,0.0003446007,0.00015675373,0.000103404716,0.00013444031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011055722,0.00012300802,0.00051718013,0.0001458868,0.00002649027,0.0000014852073,0.000031427415,0.00011151465,0.00006879923],"category_scores_gemma":[0.0012790664,0.00008341761,0.000030729603,0.0001387244,0.00035672908,0.000042507054,0.000029520956,0.000116158975,3.8526746e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005762027,0.000069224094,0.9865251,0.0009288052,0.00016462777,0.00000509509,0.001049948,0.0000023767736,0.00006836143,0.000052731506,0.00095317856,0.009604332],"study_design_scores_gemma":[0.0020132486,0.0002206095,0.98987913,0.00031000463,0.00017544703,0.0000028641346,0.00016928281,0.00014030635,0.000006432169,0.00030576802,0.0067026066,0.000074294716],"about_ca_topic_score_codex":0.0123400055,"about_ca_topic_score_gemma":0.0045164623,"teacher_disagreement_score":0.009530037,"about_ca_system_score_codex":0.00034553953,"about_ca_system_score_gemma":0.00058446743,"threshold_uncertainty_score":0.9942369},"labels":[],"label_agreement":null},{"id":"W3184250474","doi":"10.1158/1538-7755.asgcr21-21","title":"Abstract 21: Mapping Breast Cancer Resource Availability Across Ghana's Eastern Region","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Technician; Medicine; Breast cancer; Population; Family medicine; Health care; Cancer; Medical emergency; Internal medicine; Environmental health","score_opus":0.1634972241589248,"score_gpt":0.4183825659673161,"score_spread":0.2548853418083913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184250474","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":[0.92937005,0.033527244,0.0028244664,0.030605556,0.0011632218,0.0006531061,0.00009802067,0.00019033413,0.0015680039],"genre_scores_gemma":[0.9877711,0.0017990981,0.0011210269,0.004514442,0.00088261266,0.00024324226,0.00020071362,0.000044894172,0.0034228535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598897,0.00062302954,0.0010563072,0.0011140738,0.00027893324,0.0009387197],"domain_scores_gemma":[0.99761397,0.0003181437,0.00059044495,0.0007399619,0.00038340557,0.00035406166],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024122056,0.0003611231,0.00087608316,0.000083085695,0.00027323767,0.000023724386,0.00021022354,0.00046321345,0.0009870906],"category_scores_gemma":[0.00060183904,0.00034728032,0.000481985,0.0004881682,0.00036207066,0.00026593334,0.00016249465,0.00048855797,0.000057173365],"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":[0.00087321067,0.00008471229,0.8230211,0.00028795545,0.0005098993,0.00012912771,0.00020383527,0.00004165736,0.001644295,0.000028057939,0.02586813,0.14730799],"study_design_scores_gemma":[0.0013779917,0.00006462109,0.9657916,0.002173608,0.00019736032,0.0003657821,0.0012301006,0.00034321635,0.00041693915,0.0006806367,0.027010998,0.00034714895],"about_ca_topic_score_codex":0.0026602922,"about_ca_topic_score_gemma":0.0015498893,"teacher_disagreement_score":0.14696085,"about_ca_system_score_codex":0.000863263,"about_ca_system_score_gemma":0.00053692376,"threshold_uncertainty_score":0.99992615},"labels":[],"label_agreement":null},{"id":"W3184893799","doi":"10.1158/1055-9965.epi-21-0507","title":"Hereditary and Inflammatory Bowel Disease-Related Early Onset Colorectal Cancer Have Unique Characteristics and Clinical Course Compared with Sporadic Disease","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","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":"BC Cancer Agency; University of British Columbia","funders":"BC Cancer Foundation","keywords":"Medicine; Internal medicine; Gastroenterology; Inflammatory bowel disease; Ulcerative colitis; Colorectal cancer; Population; Cancer; Disease; Incidence (geometry); Crohn's disease","score_opus":0.03318686269668188,"score_gpt":0.35242597524941655,"score_spread":0.3192391125527347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184893799","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":[0.9628071,0.030870117,0.00008343027,0.003756976,0.0010769999,0.0009841227,0.00030892855,0.00008518694,0.000027132057],"genre_scores_gemma":[0.99068356,0.0065804087,0.0005375305,0.0007291143,0.00021775725,0.00030597972,0.000555147,0.000056863115,0.00033361657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99628866,0.0010726801,0.0009906286,0.0009473118,0.00019602454,0.00050468545],"domain_scores_gemma":[0.9973348,0.0006350722,0.0005101466,0.00038896152,0.00026571538,0.0008653378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010280785,0.00039320736,0.00090729754,0.000087751694,0.00014661234,0.000015131357,0.00009626799,0.0003424693,0.00029639105],"category_scores_gemma":[0.00061247114,0.0003527325,0.00018452716,0.00014804506,0.00131539,0.00011056616,0.00011458976,0.0004976991,0.0000037169884],"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":[0.0060244366,0.00019381834,0.9838187,0.00028663888,0.0012199628,0.00052282406,0.00007549768,0.000011034016,0.00011323461,0.00001705371,0.002135328,0.0055814907],"study_design_scores_gemma":[0.0029659176,0.0003847854,0.9901016,0.0010971443,0.0016505411,0.00008979063,0.00007721131,0.0019805448,0.000048137466,0.00079924916,0.0004402303,0.00036488575],"about_ca_topic_score_codex":0.00020253369,"about_ca_topic_score_gemma":0.0005816687,"teacher_disagreement_score":0.027876476,"about_ca_system_score_codex":0.00027376888,"about_ca_system_score_gemma":0.0016523304,"threshold_uncertainty_score":0.9998925},"labels":[],"label_agreement":null},{"id":"W3185543293","doi":"10.1158/1055-9965.epi-21-0140","title":"Biomarkers of Inflammation and Oxidative Stress among Adult Former Smoker, Current E-Cigarette Users—Results from Wave 1 PATH Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","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":"Center for Tobacco Products; Food and Drug Administration; Johnson and Johnson; National Institute on Drug Abuse; Centers for Disease Control and Prevention; Pfizer; Hamilton Health Sciences Foundation; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Medicine; Toxicant; Oxidative stress; Biomarker; Confidence interval; Environmental health; Population; Inflammation; Physiology; Internal medicine; Toxicity; Biology","score_opus":0.06471200872249994,"score_gpt":0.3621463574147288,"score_spread":0.29743434869222884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185543293","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":[0.9942416,0.0020278436,0.00084752636,0.00070086814,0.00087559,0.00096268376,0.00023691583,0.000048344045,0.000058616617],"genre_scores_gemma":[0.9960095,0.0011480754,0.000325968,0.000047520407,0.00015357186,0.00017992892,0.0020473553,0.000024180737,0.000063898595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664134,0.00091391837,0.0011224329,0.00073549786,0.00026591748,0.0003208826],"domain_scores_gemma":[0.99750996,0.0005543298,0.0008930732,0.0004356196,0.00045851938,0.00014852198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001305286,0.00027992032,0.0006687926,0.000173085,0.000103768725,0.000011021514,0.00007361803,0.0002775146,0.00011134031],"category_scores_gemma":[0.0011905207,0.0002580112,0.00018859279,0.00030085072,0.00025547517,0.00026640476,0.00007894265,0.0002577023,8.250518e-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":[0.00090191653,0.00030085997,0.919472,0.000085378284,0.0010857931,0.000012775412,0.0010590004,0.0000040556247,0.0035003878,0.000019868425,0.00071695907,0.07284102],"study_design_scores_gemma":[0.0045235455,0.0002904517,0.97690177,0.0010424786,0.0012146953,0.0000038523376,0.002199387,0.00046180334,0.012495549,0.0005752952,0.00007072934,0.00022045031],"about_ca_topic_score_codex":0.0011923611,"about_ca_topic_score_gemma":0.00067965314,"teacher_disagreement_score":0.07262057,"about_ca_system_score_codex":0.00021177491,"about_ca_system_score_gemma":0.00015959091,"threshold_uncertainty_score":0.9999872},"labels":[],"label_agreement":null},{"id":"W3193750231","doi":"10.1158/1055-9965.epi-21-0296","title":"Weight Gain and the Risk of Ovarian Cancer in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Juravinski Cancer Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Women's College Hospital; Shastri Indo-Canadian Institute","keywords":"Ovarian cancer; Medicine; Body mass index; Hazard ratio; Weight gain; Prospective cohort study; Cancer; Oncology; Internal medicine; Gynecology; Risk factor; Anthropometry; Proportional hazards model; BRCA mutation; Weight change; Obstetrics; Obesity; Confidence interval; Weight loss; Body weight","score_opus":0.021483997004265287,"score_gpt":0.32591959763597717,"score_spread":0.3044356006317119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193750231","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":[0.71127546,0.24013841,0.0009932641,0.044709537,0.0008587897,0.0013430957,0.00013606218,0.000029218481,0.0005161377],"genre_scores_gemma":[0.93201035,0.064874776,0.0011688933,0.0010887268,0.00011679095,0.00049808563,0.000054502056,0.000018993269,0.0001688949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973458,0.0011627668,0.00061244454,0.0005081383,0.000096904434,0.00027393244],"domain_scores_gemma":[0.99825627,0.000855596,0.00040126362,0.00027616904,0.00009746334,0.000113214905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018260648,0.00019292465,0.00068963633,0.00008944194,0.000088953166,0.0000063389143,0.000046864607,0.00017987698,0.00014513596],"category_scores_gemma":[0.00046675524,0.00013691188,0.00014866606,0.0002689898,0.00048458707,0.0000771454,0.000047612066,0.00018774939,7.725912e-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":[0.0009933229,0.00009315089,0.89863944,0.00015433232,0.0014875641,0.000029072587,0.00048063457,0.00006206623,0.0002654264,0.0018677966,0.0014746662,0.09445252],"study_design_scores_gemma":[0.012502977,0.00013451565,0.96786326,0.000720305,0.0013758906,0.000050778322,0.0003227264,0.001193304,0.001685658,0.011847458,0.0021335394,0.00016958338],"about_ca_topic_score_codex":0.0030613123,"about_ca_topic_score_gemma":0.0029326868,"teacher_disagreement_score":0.22073485,"about_ca_system_score_codex":0.00021404761,"about_ca_system_score_gemma":0.00029302968,"threshold_uncertainty_score":0.55831045},"labels":[],"label_agreement":null},{"id":"W3196982414","doi":"10.1158/1055-9965.epi-21-0448","title":"Polygenic Risk Score Improves Risk Stratification and Prediction of Subsequent Thyroid Cancer after Childhood Cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","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 Cancer Institute","keywords":"Medicine; Interquartile range; Thyroid cancer; Confidence interval; Internal medicine; Cohort; Polygenic risk score; Relative risk; Cohort study; Population; Oncology; Cancer; Single-nucleotide polymorphism; Environmental health; Biology","score_opus":0.029726178225765416,"score_gpt":0.32143723041644906,"score_spread":0.29171105219068366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196982414","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":[0.7560273,0.23857057,0.00027166802,0.0028122626,0.00069723465,0.0007945976,0.0007468698,0.000047979116,0.000031561103],"genre_scores_gemma":[0.81498444,0.18143283,0.0005650203,0.0002323823,0.00030833008,0.0019455365,0.00025779792,0.00003404492,0.00023960244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968407,0.0006902913,0.0009444535,0.0008990026,0.00018642301,0.00043911813],"domain_scores_gemma":[0.9978289,0.00022368092,0.00094851,0.00051999243,0.00025623525,0.00022269649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080441544,0.00034356146,0.000765725,0.00013521434,0.00014616035,0.000011131614,0.00007722751,0.0003114422,0.000364327],"category_scores_gemma":[0.00024487084,0.00029822244,0.0003332725,0.00029404034,0.00027092732,0.00017187526,0.00005549206,0.0002998169,0.0000032176551],"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":[0.0005593951,0.00033926024,0.88254744,0.00017075679,0.0020013477,0.0000054628294,0.00019715831,0.00003162211,0.011654658,0.00006035085,0.0016640283,0.10076853],"study_design_scores_gemma":[0.0025783884,0.00041465316,0.9798564,0.0007541145,0.0024021387,0.000015545143,0.00011349995,0.00022935522,0.011055191,0.0018211531,0.00055763236,0.00020195387],"about_ca_topic_score_codex":0.0047831936,"about_ca_topic_score_gemma":0.003975771,"teacher_disagreement_score":0.10056657,"about_ca_system_score_codex":0.0005625327,"about_ca_system_score_gemma":0.000660916,"threshold_uncertainty_score":0.999947},"labels":[],"label_agreement":null},{"id":"W3199145762","doi":"10.1158/1055-9965.epi-21-0353","title":"Genetic Polymorphisms Involved in Mitochondrial Metabolism and Pancreatic Cancer Risk","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Mitochondrial Function and Pathology","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":"Pancreas Centre (Canada)","funders":"World Cancer Research Fund; Ministerstvo Zdravotnictví Ceské Republiky; Fondazione Arpa; Fondazione Cassa di Risparmio di Verona Vicenza Belluno e Ancona; Bundesministerium für Bildung und Forschung; Heidelberger Stiftung Chirurgie; Universität Heidelberg; North West Cancer Research; Ministero della Salute; Univerzita Karlova v Praze; Ministry of Health and Welfare; Deutsches Krebsforschungszentrum","keywords":"Pancreatic cancer; Mitochondrial DNA; Genetic variation; Mitochondrion; Function (biology); Genotype; Pancreatic function; Cancer","score_opus":0.025982146053444743,"score_gpt":0.306819304167055,"score_spread":0.28083715811361026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199145762","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":[0.89097536,0.09759982,0.0065285843,0.0012375375,0.0030953982,0.00038615393,0.000058766527,0.000020355892,0.000098009994],"genre_scores_gemma":[0.8027254,0.1380861,0.039715916,0.005096,0.004918769,0.0019800153,0.0009844492,0.00015335243,0.006340007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962699,0.0017100743,0.00062069914,0.0008758652,0.00007165889,0.00045183813],"domain_scores_gemma":[0.9989091,0.00013178123,0.00031185517,0.00040584934,0.000091119495,0.00015027993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005606834,0.00026667267,0.0005248003,0.000108279404,0.000103151884,0.000010165966,0.00012596713,0.00048367123,0.00034187923],"category_scores_gemma":[0.0007982764,0.00026675264,0.00018371281,0.00019948241,0.00021655313,0.000009566347,0.00012016267,0.00020413312,0.0000090428475],"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":[0.00062998227,0.00007140864,0.58478415,0.000032349788,0.0004117882,0.000015741884,0.000052567502,0.000114945724,0.38991526,0.00013799059,0.0070920377,0.016741788],"study_design_scores_gemma":[0.004699788,0.00024448114,0.8993508,0.00016531128,0.00053310394,0.00006461121,0.00012734174,0.00041555858,0.032682687,0.00663284,0.05434577,0.0007376928],"about_ca_topic_score_codex":0.00096394506,"about_ca_topic_score_gemma":0.0055946014,"teacher_disagreement_score":0.35723257,"about_ca_system_score_codex":0.00004874578,"about_ca_system_score_gemma":0.00025849295,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W3199925472","doi":"10.1158/1055-9965.epi-21-0313","title":"Smoking Methylation Marks for Prediction of Urothelial Cancer Risk","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":"Canadian Centre for Applied Research in Cancer Control","funders":"Cancer Council Victoria; University at Buffalo; MedStar Health Research Institute; National Health and Medical Research Council; Wake Forest University; University of Pittsburgh; National Heart, Lung, and Blood Institute; University of Nevada, Reno; U.S. Department of Health and Human Services; National Institutes of Health; Ohio State University; Brigham and Women's Hospital","keywords":"DNA methylation; Risk stratification; Urothelial cancer; Methylation; Risk assessment; Urothelial carcinoma; Risk factor","score_opus":0.04908623924074737,"score_gpt":0.3647601213479284,"score_spread":0.31567388210718106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199925472","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":[0.69262767,0.054004274,0.2495022,0.0006138427,0.0017330404,0.0006235881,0.00069541513,0.000020267651,0.00017971007],"genre_scores_gemma":[0.9654903,0.02074616,0.00967285,0.00012748486,0.00085239514,0.00053693407,0.0018351929,0.000043471602,0.0006952481],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977799,0.0007146384,0.00062904105,0.00052301324,0.00008553567,0.00026786776],"domain_scores_gemma":[0.9985253,0.00018492884,0.00060234545,0.0002982568,0.00032435122,0.00006480038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017551987,0.00016806192,0.0003049704,0.00006714358,0.00011594571,0.00000536715,0.00009757282,0.00037661407,0.00008080021],"category_scores_gemma":[0.0010072018,0.00017605808,0.00027668913,0.00012802868,0.000096242984,0.000009661835,0.000052892254,0.00009098949,5.513368e-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":[0.00032512334,0.00005458093,0.36177012,0.00008044177,0.00059232453,1.9528692e-7,0.000026119638,0.0014454761,0.5529507,0.00012826448,0.0013041961,0.081322506],"study_design_scores_gemma":[0.0017522944,0.00034568572,0.30171922,0.00013519442,0.0004537067,0.0000013037113,0.000044715984,0.0026492968,0.65273076,0.012034486,0.027869713,0.00026362285],"about_ca_topic_score_codex":0.00015832671,"about_ca_topic_score_gemma":0.0002993378,"teacher_disagreement_score":0.27286258,"about_ca_system_score_codex":0.00006434405,"about_ca_system_score_gemma":0.00021918824,"threshold_uncertainty_score":0.717944},"labels":[],"label_agreement":null},{"id":"W3200436103","doi":"10.1158/1055-9965.epi-21-0548","title":"Is Hodgkin Lymphoma Associated with Hepatitis B and C Viruses? A Systematic Review and Meta-analysis","year":2021,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hepatitis C virus research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; McGill University","funders":"Canadian Institutes of Health Research; Cancer Research Society; McGill University","keywords":"Medicine; Meta-analysis; Internal medicine; Lymphoma; Hepatitis B virus; Hepatitis C virus; Malignancy; Etiology; Relative risk; Hepatitis C; Hepatitis B; Immunology; Oncology; Virus; Confidence interval; Virology","score_opus":0.2977068628307604,"score_gpt":0.49164205019754575,"score_spread":0.19393518736678533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200436103","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":[0.000010978879,0.99290943,0.00024002252,0.0011859658,0.000041617983,0.005072784,0.00041561414,0.000054915097,0.000068686786],"genre_scores_gemma":[0.000018924951,0.9897563,0.00052312476,0.002918783,0.000026760958,0.0042706537,0.00079344277,0.000085647414,0.0016063601],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9863449,0.00880034,0.0023871306,0.0014246373,0.00039091235,0.00065207854],"domain_scores_gemma":[0.9934897,0.002608018,0.0020855437,0.001027778,0.0003861695,0.000402835],"candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0065196017,0.00081827916,0.018100668,0.00064040185,0.00014193662,0.000031814285,0.00020360538,0.00079043536,0.0011978111],"category_scores_gemma":[0.0048648138,0.00054013793,0.0029299543,0.0018037102,0.00041210765,0.00011942661,0.00018376864,0.00040341393,0.0000185088],"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":[0.00000889008,0.000057123798,0.0024935903,0.47078016,0.49796656,0.0000669838,0.000012366564,2.7486482e-8,4.9796704e-8,0.000020825453,0.0027293004,0.025864124],"study_design_scores_gemma":[0.00034301582,0.00014839026,0.00042947108,0.14322662,0.82313,0.00007991248,0.0000035094263,0.000019419973,1.9068933e-7,0.0000331248,0.032190703,0.00039564323],"about_ca_topic_score_codex":0.001032762,"about_ca_topic_score_gemma":0.0011055428,"teacher_disagreement_score":0.32755354,"about_ca_system_score_codex":0.00065422547,"about_ca_system_score_gemma":0.0008035609,"threshold_uncertainty_score":0.9997152},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3200591351","doi":"10.1158/1538-7755.asgcr21-40","title":"Abstract 40: Pathology Training for Cancer Diagnosis in Africa: Perspectives from Two Virtual Courses","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","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":"Université de Montréal","funders":"","keywords":"Economic shortage; French; Medical education; Medicine; Virtual microscopy; Training (meteorology); Pandemic; Family medicine; Psychology; Coronavirus disease 2019 (COVID-19); Pathology; Government (linguistics); Geography; Disease","score_opus":0.10761378982531004,"score_gpt":0.46801926605439254,"score_spread":0.3604054762290825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200591351","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":[0.7462573,0.21406318,0.018237418,0.016724942,0.003054724,0.0009258619,0.0003013141,0.00008921681,0.00034602685],"genre_scores_gemma":[0.9412849,0.033033464,0.018679494,0.0015729401,0.001404412,0.0029683805,0.0003000169,0.000043481363,0.0007129416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973522,0.000570769,0.00063182326,0.0008107458,0.00007162108,0.00056285504],"domain_scores_gemma":[0.99573416,0.0033974345,0.00034606643,0.00027513318,0.00013230999,0.000114886985],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011815951,0.00024673043,0.0010381255,0.00019496714,0.00011538489,0.0000035528276,0.00010964439,0.00041165634,0.0013872421],"category_scores_gemma":[0.001214782,0.00023089546,0.00038798372,0.00034692773,0.00049139024,0.00011815207,0.000026568765,0.00032232027,0.0000033376834],"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":[0.0024289035,0.00039827044,0.7817415,0.000043189524,0.0034582014,0.0001538717,0.003946739,0.0006765581,0.0025030477,0.001391089,0.005666601,0.19759205],"study_design_scores_gemma":[0.005761136,0.00040627597,0.94174135,0.00038480523,0.0010755468,0.000025530966,0.004662521,0.00050080335,0.00054892094,0.01684491,0.027697578,0.00035059915],"about_ca_topic_score_codex":0.00025040464,"about_ca_topic_score_gemma":0.0029988713,"teacher_disagreement_score":0.19724146,"about_ca_system_score_codex":0.0005667106,"about_ca_system_score_gemma":0.0005274665,"threshold_uncertainty_score":0.9995256},"labels":[],"label_agreement":null},{"id":"W3200961293","doi":"10.1158/1055-9965.epi-21-0250","title":"Lung Cancer as a Subsequent Malignant Neoplasm in Survivors of Childhood Cancer","year":2021,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","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":"National Cancer Institute; American Lebanese Syrian Associated Charities; St. Jude Children's Research Hospital","keywords":"Medicine; Lung cancer; Internal medicine; Cumulative incidence; Hazard ratio; Population; Cancer; Confidence interval; Incidence (geometry); Cohort; Proportional hazards model; Oncology","score_opus":0.053834894495430205,"score_gpt":0.3822371474803496,"score_spread":0.3284022529849194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200961293","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16515742,0.20740485,0.00014003074,0.6164951,0.0065694675,0.0030521536,0.0006586149,0.00015038873,0.0003720176],"genre_scores_gemma":[0.04362948,0.121846184,0.0016049726,0.79623675,0.011654237,0.008076544,0.005927894,0.0007603825,0.01026353],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9866,0.004235313,0.0038570883,0.002518072,0.00092685287,0.0018626985],"domain_scores_gemma":[0.9928324,0.0016626278,0.0029816069,0.0016132202,0.0005238981,0.00038621077],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.004416514,0.0013232197,0.004547342,0.00095331506,0.00013284959,0.000020128691,0.00068527873,0.0029859403,0.0029174653],"category_scores_gemma":[0.0013225469,0.0013249151,0.0015513467,0.0011749801,0.0006759467,0.0002135665,0.00031335652,0.0031098598,0.000018973542],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005362719,0.0003316982,0.4011625,0.0048646065,0.005352088,0.000445772,0.0011830182,0.00010118997,0.00032463373,0.000049686347,0.57712054,0.008528007],"study_design_scores_gemma":[0.009963961,0.00068052986,0.54930943,0.051296156,0.005809871,0.00030152695,0.00069028774,0.00038417595,0.0020125604,0.0029007203,0.37328273,0.003368062],"about_ca_topic_score_codex":0.102503724,"about_ca_topic_score_gemma":0.049965486,"teacher_disagreement_score":0.20383778,"about_ca_system_score_codex":0.0026125603,"about_ca_system_score_gemma":0.0050727995,"threshold_uncertainty_score":0.9999519},"labels":[],"label_agreement":null},{"id":"W3202459959","doi":"10.1158/1055-9965.epi-21-0117","title":"Racial/Ethnic Disparities in Childhood Cancer Survival in the United States","year":2021,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","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":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Ethnic group; Medicaid; Socioeconomic status; Health equity; Demography; Cancer; Hazard ratio; Gerontology; Residence; Health care; Proportional hazards model; Public health; Environmental health; Population; Internal medicine; Pathology","score_opus":0.13720721795543322,"score_gpt":0.41911422919204255,"score_spread":0.28190701123660933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202459959","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08855537,0.07750656,0.00011534104,0.8281168,0.003297171,0.0019036948,0.00027682714,0.00009837158,0.0001298807],"genre_scores_gemma":[0.011885358,0.05515595,0.00025959976,0.9081627,0.0060013165,0.0026209857,0.014203444,0.00019875882,0.0015118629],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98411876,0.00976821,0.0024288315,0.0015448687,0.0006556937,0.0014836554],"domain_scores_gemma":[0.9929216,0.0043867277,0.0011465204,0.0011938667,0.00020736725,0.00014393058],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007824778,0.00088696677,0.0025977227,0.00095000066,0.0001355735,0.000031694035,0.0006917131,0.0019681775,0.0006040135],"category_scores_gemma":[0.001924908,0.00074900937,0.00073894724,0.0017050902,0.0006468056,0.00016495486,0.00018634231,0.0041930447,0.000015381198],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036313696,0.0003203467,0.28988132,0.0013515718,0.0013093905,0.00033456145,0.0026832004,0.000118950615,0.0000067855926,0.00005808961,0.6981377,0.0054349275],"study_design_scores_gemma":[0.0033506644,0.00022102658,0.7285989,0.0059921606,0.0006797201,0.000041269705,0.0011729943,0.0001381715,0.000010575786,0.0049085435,0.25401106,0.0008749204],"about_ca_topic_score_codex":0.052203782,"about_ca_topic_score_gemma":0.07153065,"teacher_disagreement_score":0.44412667,"about_ca_system_score_codex":0.001191982,"about_ca_system_score_gemma":0.0012757478,"threshold_uncertainty_score":0.9994961},"labels":[],"label_agreement":null},{"id":"W3202784931","doi":"10.1158/1055-9965.epi-21-0686","title":"Disease-Associated Risk Variants in <i>ANRIL</i> Are Associated with Tumor-Infiltrating Lymphocyte Presence in Primary Melanomas in the Population-Based GEM Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia","funders":"Cancer Council NSW; National Health and Medical Research Council; University of California, Irvine; University of North Carolina at Chapel Hill; Moffitt Cancer Center; Menzies Institute for Medical Research; University of Sydney; University of Tasmania; University of Oxford; University of North Carolina; Memorial Sloan-Kettering Cancer Center; Cancer Care Ontario; National Cancer Institute; Emory University; City of Hope; University of Pennsylvania","keywords":"Neuroblastoma RAS viral oncogene homolog; Medicine; CDKN2A; Oncology; Melanoma; CDKN2B; Tumor-infiltrating lymphocytes; Internal medicine; Odds ratio; Cancer; Cancer research; Immunotherapy; KRAS","score_opus":0.03398690408153011,"score_gpt":0.31879328238182075,"score_spread":0.28480637830029065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202784931","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":[0.9888022,0.0068954243,0.00006722101,0.0020052833,0.00024926383,0.0017857411,0.000065255874,0.00004901932,0.000080571306],"genre_scores_gemma":[0.9964197,0.00036998605,0.00015193429,0.0017025573,0.00004368783,0.00062728924,0.0005719967,0.00003421083,0.00007860346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99162185,0.0053604627,0.0012307283,0.0008176951,0.00033332364,0.00063592935],"domain_scores_gemma":[0.9961607,0.0020961561,0.0010045855,0.0005201247,0.00011759779,0.00010083762],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0058844364,0.00034599082,0.0009140461,0.00028201603,0.00013795518,0.00002064188,0.0002185271,0.00021262589,0.0000671795],"category_scores_gemma":[0.0030595327,0.00027240184,0.00019260414,0.0015805264,0.00012825377,0.0001770932,0.000039723098,0.00045558173,0.0000014206212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039469255,0.0012604152,0.9899247,0.000064518485,0.0004181997,0.0004070737,0.0002954916,0.0007055773,0.00016358112,0.00000442414,0.00018402348,0.0026250132],"study_design_scores_gemma":[0.011117845,0.0002835315,0.9824042,0.002140091,0.00024306121,0.000008339384,0.00073233695,0.0024970516,0.00001854737,0.00024571334,0.000024947147,0.00028434105],"about_ca_topic_score_codex":0.005767578,"about_ca_topic_score_gemma":0.052022494,"teacher_disagreement_score":0.046254918,"about_ca_system_score_codex":0.002063143,"about_ca_system_score_gemma":0.0012565117,"threshold_uncertainty_score":0.9999728},"labels":[],"label_agreement":null},{"id":"W3208690329","doi":"10.1158/1055-9965.epi-21-1081","title":"Toward Achieving Health Equity – ASPO's 2022 Annual Meeting March 13–15, 2022 Marriott University Park, Tucson, Arizona","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"Institute of Cancer Research","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Cancer Institute","keywords":"Health equity; Equity (law); Public relations; Political science; Cancer prevention; Economic growth; Public health; Medicine; Cancer; Economics; Law; Nursing","score_opus":0.15446934588745528,"score_gpt":0.422529932462485,"score_spread":0.26806058657502974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208690329","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":[0.6211277,0.18408777,0.032779727,0.14242512,0.0049710553,0.002699411,0.0005995804,0.0005942255,0.01071538],"genre_scores_gemma":[0.9597899,0.014860202,0.01003959,0.0079259,0.00097509526,0.000069591406,0.0009998478,0.000073276875,0.0052666464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99400586,0.002311889,0.000953051,0.0011610382,0.00041353676,0.0011546327],"domain_scores_gemma":[0.9972725,0.0005768419,0.0006978757,0.0005758249,0.0003510084,0.0005259749],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0065206173,0.00036971335,0.0010949487,0.00020331927,0.00048063011,0.000015162246,0.00033385193,0.00037631605,0.001149333],"category_scores_gemma":[0.00140894,0.00040537107,0.00049098145,0.0007754502,0.00027692114,0.00032305266,0.00061073946,0.0007344021,0.00002933863],"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":[0.0025480958,0.00017478244,0.6398398,0.0006303308,0.001113439,0.0003896269,0.0004106455,0.00014151543,0.002119849,0.00072489143,0.12670128,0.22520572],"study_design_scores_gemma":[0.0037248528,0.0012351539,0.87648565,0.0029503806,0.0006547833,0.00037711012,0.0060110004,0.001209766,0.00039929437,0.0032766727,0.10279043,0.0008849105],"about_ca_topic_score_codex":0.003283758,"about_ca_topic_score_gemma":0.00344962,"teacher_disagreement_score":0.33866212,"about_ca_system_score_codex":0.0018488285,"about_ca_system_score_gemma":0.0018150946,"threshold_uncertainty_score":0.99983984},"labels":[],"label_agreement":null},{"id":"W3208803504","doi":"10.1158/1055-9965.epi-21-0402","title":"Identifying the Profile of <i>Helicobacter pylori</i>–Negative Gastric Cancers: A Case-Only Analysis within the Stomach Cancer Pooling (StoP) Project","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Helicobacter pylori-related gastroenterology studies","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":"University of Alberta","funders":"Fundação para a Ciência e a Tecnologia; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana; Instituto de Salud Carlos III; Universidade do Porto; Universidad de Oviedo; Universidad de Cantabria; Universidad de Huelva; Universidad de León; Associazione Italiana per la Ricerca sul Cancro","keywords":"Stomach; Pooling; Stomach cancer; Cancer; Risk assessment","score_opus":0.07332911241730015,"score_gpt":0.3835002100922672,"score_spread":0.31017109767496703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208803504","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":[0.96054435,0.02123328,0.0031846906,0.011506387,0.0014074302,0.0016909454,0.00018998448,0.00009405249,0.00014889789],"genre_scores_gemma":[0.98904,0.0029715893,0.0026420136,0.002380429,0.0004422767,0.0013977903,0.00016004297,0.000058087586,0.0009077346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99356323,0.0026865157,0.001578677,0.0010112859,0.0003064465,0.0008538311],"domain_scores_gemma":[0.99540675,0.0012294116,0.0014906878,0.00088655966,0.00085140776,0.00013516028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003164211,0.0004926648,0.0014034702,0.00041586166,0.0005163374,0.00002148627,0.00031534152,0.00033676982,0.00021817029],"category_scores_gemma":[0.0014671193,0.00031207796,0.0007715255,0.002737227,0.0009368641,0.0002029302,0.00025967968,0.0008670374,0.000007125592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010671429,0.00013699965,0.94610494,0.00023410919,0.030418068,0.00026957074,0.0031525963,0.000452739,0.0033315986,0.00006740017,0.005011838,0.009753004],"study_design_scores_gemma":[0.004141708,0.0006060062,0.9452212,0.001323176,0.025285373,0.002131231,0.010239798,0.004907945,0.0037628682,0.000562625,0.0011995427,0.0006185701],"about_ca_topic_score_codex":0.008330527,"about_ca_topic_score_gemma":0.015694007,"teacher_disagreement_score":0.028495703,"about_ca_system_score_codex":0.00085136975,"about_ca_system_score_gemma":0.001404856,"threshold_uncertainty_score":0.9999331},"labels":[],"label_agreement":null},{"id":"W3209679657","doi":"10.1158/1055-9965.epi-21-0321","title":"Expenditures in Young Adults with Hodgkin Lymphoma: NCI-Designated Comprehensive Cancer Centers versus Other Sites","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","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":"Hospital for Sick Children","funders":"Stand Up To Cancer; Entertainment Industry Foundation; American Association for Cancer Research","keywords":"Young adult; Cancer; MEDLINE; Patient care","score_opus":0.07157521394883236,"score_gpt":0.3166278789591764,"score_spread":0.245052665010344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209679657","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":[0.9033944,0.08451413,0.0023996837,0.0022833007,0.0027413166,0.00060353073,0.00034751193,0.00007461568,0.0036415104],"genre_scores_gemma":[0.9887782,0.0071702795,0.001248681,0.0011171815,0.00029597984,0.00040889814,0.00017648317,0.00006631705,0.0007380321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695987,0.00021586237,0.0010651195,0.0009823166,0.000039108785,0.00073770765],"domain_scores_gemma":[0.9981951,0.00030753578,0.0008604366,0.00039563785,0.00008854588,0.00015272014],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006158102,0.0003719682,0.0009976549,0.00026638448,0.00011537579,0.000025294019,0.00023167749,0.000346177,0.0012035741],"category_scores_gemma":[0.00019401475,0.00040257626,0.00022793269,0.00027723942,0.00024403058,0.0004095691,0.000069368536,0.0001841727,0.000079219164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033069262,0.00020429774,0.96578556,0.00010045071,0.0009257334,0.00002545051,0.0004590042,0.0008187844,0.00023151119,0.008511235,0.007956962,0.011674084],"study_design_scores_gemma":[0.012281257,0.00030935887,0.94178957,0.000636946,0.00007285431,0.00001060855,0.00053747883,0.0014920211,0.00072469946,0.008646131,0.032518066,0.0009809897],"about_ca_topic_score_codex":0.008838362,"about_ca_topic_score_gemma":0.020754483,"teacher_disagreement_score":0.08538376,"about_ca_system_score_codex":0.000909218,"about_ca_system_score_gemma":0.0002027273,"threshold_uncertainty_score":0.9998426},"labels":[],"label_agreement":null},{"id":"W3209961256","doi":"10.1158/1055-9965.epi-21-0934","title":"Alcohol and Cancer: Existing Knowledge and Evidence Gaps across the Cancer Continuum","year":2021,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Alcohol Consumption and Health Effects","field":"Medicine","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":"Centre for Addiction and Mental Health; University of Victoria","funders":"National Center for Advancing Translational Sciences; Pan American Health Organization; Weill Cornell Medical College; National Cancer Institute; National Institutes of Health; University of Texas Southwestern Medical Center; Harvard University; Ohio State University; University of Pennsylvania","keywords":"Cancer; Alcohol consumption; Medicine; Environmental health; Psychological intervention; Disease; Cancer prevention; Alcohol; Public health; Consumption (sociology); Psychiatry; Internal medicine; Pathology; Biology","score_opus":0.4612264573200386,"score_gpt":0.5860860558549186,"score_spread":0.12485959853487999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209961256","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":[0.00084240484,0.9901806,0.00007725867,0.0040766005,0.0019086461,0.002696548,0.000069977585,0.00007982158,0.00006815833],"genre_scores_gemma":[0.00015097456,0.9915959,0.0002224253,0.001203701,0.0009267312,0.0032569862,0.00009349707,0.00007353149,0.0024762433],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929699,0.003119476,0.0014849445,0.001377947,0.00014742791,0.00090035493],"domain_scores_gemma":[0.99280614,0.004519404,0.0013758321,0.0006252456,0.00027334012,0.00040006774],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0059816204,0.0006671615,0.0032392384,0.00013428726,0.0005524013,0.00003562339,0.00022997502,0.0008617406,0.00024940702],"category_scores_gemma":[0.002444751,0.00046513614,0.00052870315,0.00040932614,0.0008478701,0.00013313939,0.0003327289,0.0009878179,0.000015272799],"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":[0.000073442796,0.000026325613,0.019626064,0.031201294,0.0010590964,0.000012437994,0.00017764587,1.02192864e-7,0.0000063688735,0.000061007464,0.013489579,0.9342666],"study_design_scores_gemma":[0.00078263396,0.000080721125,0.012616909,0.13496387,0.0030514044,0.00016130401,0.000049091203,0.00003733684,0.0000020205036,0.000055556975,0.847812,0.00038714905],"about_ca_topic_score_codex":0.0011707982,"about_ca_topic_score_gemma":0.0027137205,"teacher_disagreement_score":0.9338795,"about_ca_system_score_codex":0.00067714846,"about_ca_system_score_gemma":0.0016320908,"threshold_uncertainty_score":0.99978006},"labels":[],"label_agreement":null},{"id":"W3210265530","doi":"10.1158/1055-9965.epi-21-0677","title":"DNA Methylation Profiles of Ovarian Clear Cell Carcinoma","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chromatin Remodeling and Cancer","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 Calgary; Canadian Centre for Applied Research in Cancer Control; Vancouver General Hospital; University of British Columbia; Calgary Laboratory Services; BC Cancer Agency","funders":"National Cancer Institute; Cancer Research UK; Mayo Clinic; Cancer Institute NSW; American Cancer Society","keywords":"DNA methylation; Clear cell carcinoma; Clear cell; Methylation; Epigenetics; DNA; Carcinoma; Clear cell renal cell carcinoma","score_opus":0.03511234553547427,"score_gpt":0.32879786915321124,"score_spread":0.293685523617737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210265530","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":[0.9644589,0.020541908,0.012623969,0.0007100266,0.00052091,0.00020530312,0.000029909806,0.0000166126,0.00089246675],"genre_scores_gemma":[0.99051476,0.0009388,0.006439886,0.00022522038,0.00023554185,0.000060023733,0.00045045663,0.000022783066,0.0011125364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998063,0.00060680497,0.00051919924,0.00047709205,0.00008102555,0.000252842],"domain_scores_gemma":[0.9989772,0.000058632235,0.00034499922,0.0003757394,0.0001761908,0.00006726304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009149558,0.0001569441,0.00029853833,0.000043003067,0.00006466964,0.0000041965823,0.00013199945,0.00028915325,0.00014769568],"category_scores_gemma":[0.00023976277,0.00015982131,0.00022916186,0.00012425256,0.00010971879,0.0000063465627,0.00008249357,0.000082638064,0.0000051528395],"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":[0.0002572481,0.00008231914,0.040429365,0.00015803537,0.00018614317,0.0000016401123,0.00003729867,0.00030687658,0.93333817,0.00015089076,0.007086347,0.017965686],"study_design_scores_gemma":[0.0010902614,0.0002548759,0.06179961,0.00008880858,0.00013638414,0.00000997994,0.00012349665,0.001106967,0.92457014,0.0025396012,0.0080005005,0.0002793939],"about_ca_topic_score_codex":0.000094578856,"about_ca_topic_score_gemma":0.000070480986,"teacher_disagreement_score":0.026055858,"about_ca_system_score_codex":0.000045418907,"about_ca_system_score_gemma":0.00027699754,"threshold_uncertainty_score":0.6517324},"labels":[],"label_agreement":null},{"id":"W3210643297","doi":"10.1158/1055-9965.epi-21-0463","title":"Molecular and Pathology Features of Colorectal Tumors and Patient Outcomes Are Associated with <i>Fusobacterium nucleatum</i> and Its Subspecies <i>animalis</i>","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Diverticular Disease and Complications","field":"Medicine","cited_by":59,"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; Lunenfeld-Tanenbaum Research Institute; University Health Network; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; Österreichische Forschungsförderungsgesellschaft; Cancer Research UK","keywords":"Fusobacterium nucleatum; Fusobacterium; Subspecies; Medicine; Pathology; Bacteroidaceae; Colorectal cancer; Internal medicine; Biology; Cancer; Bacteria; Genetics; Bacteroides; Zoology","score_opus":0.019074331143071874,"score_gpt":0.28640142300604576,"score_spread":0.2673270918629739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210643297","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":[0.9738678,0.020785244,0.000028045222,0.0047469083,0.000053813743,0.00030348974,0.00007148619,0.000025267285,0.000117997704],"genre_scores_gemma":[0.9973692,0.00075131183,0.0002424127,0.0013824592,0.0000059630984,0.00007303347,0.00010422479,0.000014015435,0.000057373432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867,0.0003627815,0.00029333986,0.0003852874,0.00008223278,0.00020636669],"domain_scores_gemma":[0.99905,0.00018618717,0.00026578098,0.00013725979,0.00022681343,0.00013393513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020853158,0.00016015225,0.00052609947,0.0000619243,0.00007086321,0.000007843151,0.000033085114,0.0001248814,0.000018653607],"category_scores_gemma":[0.0005346984,0.00013079526,0.000075817814,0.00013388044,0.00027999567,0.00006562679,0.000082993516,0.00009723672,3.5842612e-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":[0.00033615628,0.00017350669,0.9536908,0.00010336055,0.0007780668,0.000112547394,0.00014760256,0.0000012050185,0.041192487,0.00092439394,0.00078043895,0.0017594005],"study_design_scores_gemma":[0.0010163096,0.0002815523,0.9904579,0.0003135081,0.00047021318,0.00014131734,0.0002846963,0.000026463586,0.006201235,0.00054973364,0.00013279996,0.00012427359],"about_ca_topic_score_codex":0.000020069967,"about_ca_topic_score_gemma":0.00009034612,"teacher_disagreement_score":0.036767066,"about_ca_system_score_codex":0.000044107037,"about_ca_system_score_gemma":0.00007857933,"threshold_uncertainty_score":0.5333676},"labels":[],"label_agreement":null},{"id":"W3210814554","doi":"10.1158/1055-9965.epi-21-0667","title":"Impact of Risk-Stratified Therapy on Health Status in Survivors of Childhood Acute Lymphoblastic Leukemia: A Report from the Childhood Cancer Survivor Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","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":"Hospital for Sick Children; University of Alberta","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Medicine; Confidence interval; Sibling; Pediatrics; Internal medicine","score_opus":0.05308740631878554,"score_gpt":0.4075369179597966,"score_spread":0.354449511641011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210814554","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":[0.9677035,0.024331795,0.00021792197,0.0032636852,0.0010883836,0.002377957,0.00091649714,0.000059225233,0.000041032803],"genre_scores_gemma":[0.98023516,0.01722783,0.000305415,0.0008302628,0.0003065147,0.0003452796,0.00063619966,0.00007523509,0.000038106726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9876433,0.0063252444,0.0031574161,0.0013327536,0.00060340343,0.00093789346],"domain_scores_gemma":[0.99031633,0.0042028814,0.0032276344,0.0015703515,0.00034383743,0.00033893582],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0062587317,0.00061823754,0.0025371583,0.0002598238,0.00015739823,0.00001048092,0.00034842666,0.0003673031,0.00033954353],"category_scores_gemma":[0.0030365917,0.0004603637,0.00090985745,0.0010725242,0.0003617009,0.00012831936,0.000113561706,0.00073198375,0.0000033807762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022027376,0.0026933672,0.95685434,0.00006241031,0.0060897917,0.000040897983,0.006452239,0.00044071855,0.00024323107,0.0000135698865,0.0015967026,0.023309961],"study_design_scores_gemma":[0.008291687,0.0018816319,0.98453826,0.0011221203,0.00049912196,0.0000261511,0.0016033947,0.00005903376,0.000346259,0.001247075,0.000058334623,0.00032691134],"about_ca_topic_score_codex":0.3008071,"about_ca_topic_score_gemma":0.17128175,"teacher_disagreement_score":0.12952533,"about_ca_system_score_codex":0.0016098946,"about_ca_system_score_gemma":0.0069387583,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W3212937589","doi":"10.1158/1055-9965.epi-21-0791","title":"Short NK- and Naïve T-Cell Telomere Length Is Associated with Thyroid Cancer in Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","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":"Provincial Laboratory of Public Health; University of Alberta; InStream Fisheries Research (Canada); BC Cancer Agency","funders":"National Cancer Institute; National Institutes of Health; American Lebanese Syrian Associated Charities; St. Jude Children's Research Hospital","keywords":"Childhood cancer; Telomere; Immune system; Thyroid cancer; Cancer; Immunity; Thyroid function","score_opus":0.033414728501123224,"score_gpt":0.33257100225549346,"score_spread":0.29915627375437026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212937589","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":[0.88528454,0.10245736,0.00003879647,0.008376629,0.0010769892,0.0020442319,0.0005040612,0.00010256381,0.000114831084],"genre_scores_gemma":[0.96517545,0.028690344,0.0001131733,0.0022834658,0.00053427037,0.001622613,0.00036064847,0.00011166844,0.0011083933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99286133,0.0019604499,0.0015695057,0.0019644753,0.0005318082,0.001112436],"domain_scores_gemma":[0.9960568,0.0012462322,0.00084954925,0.0010447612,0.0004459651,0.00035668825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026286957,0.0007706521,0.001829714,0.00020223678,0.00035258083,0.000037996917,0.00033927392,0.0005316341,0.00076255656],"category_scores_gemma":[0.0008684237,0.0005686766,0.00030372746,0.0011888562,0.00043540352,0.00025773476,0.00019311349,0.00095301087,0.0000044873163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045922445,0.0012492222,0.9610346,0.000072133946,0.002763596,0.00033428858,0.002935334,0.000037648177,0.0011760538,0.0000032647079,0.0033647728,0.026569847],"study_design_scores_gemma":[0.004008583,0.00028784428,0.98716336,0.0017372303,0.0012810575,0.0000652036,0.0025331893,0.0001033165,0.001174819,0.00018908828,0.00079790765,0.0006583924],"about_ca_topic_score_codex":0.09149947,"about_ca_topic_score_gemma":0.34856603,"teacher_disagreement_score":0.25706658,"about_ca_system_score_codex":0.0007976228,"about_ca_system_score_gemma":0.0017168622,"threshold_uncertainty_score":0.99967647},"labels":[],"label_agreement":null},{"id":"W3214447722","doi":"10.1158/1055-9965.epi-21-0977","title":"High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","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 British Columbia; BC Cancer Agency","funders":"Medical Research and Materiel Command; National Institute of Environmental Health Sciences; National Cancer Institute; National Human Genome Research Institute; Cancer Council Tasmania; Medical Research Council; Peter MacCallum Foundation; Ovarian Cancer Research Fund; Cancer Australia; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; U.S. Department of Defense; State of Connecticut Department of Public Health; Lon V. Smith Foundation; Fred C. and Katherine B. Andersen Foundation; Cancer Research UK; University College London; Ovarian Cancer Australia; University of Pittsburgh; National Institute on Minority Health and Health Disparities; Mayo Foundation for Medical Education and Research; Rutgers Cancer Institute of New Jersey; Minnesota Ovarian Cancer Alliance; Memorial Sloan-Kettering Cancer Center; California Breast Cancer Research Program; National Health and Medical Research Council; AstraZeneca; National Institutes of Health; National Center for Research Resources; Oak Foundation; Roswell Park Cancer Institute","keywords":"Ovarian cancer; Overall survival; Risk factor; Proportional hazards model; Cancer; Risk assessment","score_opus":0.04715018518793772,"score_gpt":0.3325338208962734,"score_spread":0.2853836357083357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214447722","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":[0.9766831,0.01048021,0.00090419315,0.007321444,0.0018579952,0.0015636925,0.00030874836,0.00042342645,0.00045722842],"genre_scores_gemma":[0.9857181,0.003855402,0.0038018485,0.00059861696,0.00047530886,0.0021009927,0.0025320987,0.00012725755,0.0007903933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931839,0.0028663878,0.0014286786,0.0011950638,0.00042855353,0.000897431],"domain_scores_gemma":[0.994842,0.0016012,0.0013602017,0.00078337116,0.0008760057,0.00053722644],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029202981,0.000569745,0.001239215,0.00027646354,0.00036742355,0.000027262238,0.00022540733,0.0007751103,0.002595454],"category_scores_gemma":[0.005376322,0.0005186378,0.0005056797,0.0010467399,0.0005250392,0.0002820984,0.00011446137,0.00053202326,0.000034554163],"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":[0.0015974294,0.00029416673,0.9589976,0.0001724034,0.007342095,0.00014923369,0.0000695284,0.00012955903,0.00078132347,0.0002815044,0.006885603,0.023299564],"study_design_scores_gemma":[0.006552608,0.0001965886,0.9777164,0.002241389,0.0036042929,0.000023388342,0.000085306216,0.0012141711,0.0037524505,0.0033490886,0.00070963474,0.00055467547],"about_ca_topic_score_codex":0.0009470849,"about_ca_topic_score_gemma":0.002088397,"teacher_disagreement_score":0.022744888,"about_ca_system_score_codex":0.001000926,"about_ca_system_score_gemma":0.0015854783,"threshold_uncertainty_score":0.99972653},"labels":[],"label_agreement":null},{"id":"W3214829650","doi":"10.1158/1055-9965.epi-21-0616","title":"The Role of Circulating Protein and Metabolite Biomarkers in the Development of Pancreatic Ductal Adenocarcinoma (PDAC): A Systematic Review and Meta-analysis","year":2021,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","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":"European Commission; HORIZON EUROPE Marie Sklodowska-Curie Actions; Cancer Research UK","keywords":"Pancreatic ductal adenocarcinoma; Metabolite; Meta-analysis; Medicine; Internal medicine; Oncology; Pancreatic carcinoma; Adenocarcinoma; Pancreatic cancer; Cancer research; Cancer","score_opus":0.16357819050691932,"score_gpt":0.44896932613167817,"score_spread":0.2853911356247588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214829650","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":[0.0009947119,0.99150705,0.000099451,0.00046255434,0.000017164499,0.006840904,0.000026246993,0.000006266312,0.000045631507],"genre_scores_gemma":[0.0012517353,0.99080306,0.0028832168,0.000060044636,0.000014021162,0.0047234744,0.00013063902,0.000023557182,0.00011026307],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98589045,0.00915505,0.003530682,0.0006668973,0.00030954197,0.00044739587],"domain_scores_gemma":[0.9922679,0.004178498,0.0024506007,0.0007959091,0.00019817418,0.000108901455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016770942,0.00046629412,0.011376043,0.00038259773,0.00015432996,0.0000090751655,0.00029520175,0.00035775555,0.00005402667],"category_scores_gemma":[0.0033523273,0.00023153628,0.0016315461,0.0012114267,0.0005950977,0.000046951347,0.00015582159,0.0003725053,8.654995e-7],"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":[0.000032819087,0.000078786914,0.01322289,0.567063,0.40449727,0.000011142534,0.00026662563,6.057471e-8,0.000008767809,0.0002793151,0.000018085228,0.01452127],"study_design_scores_gemma":[0.00029318666,0.00007688127,0.0060567358,0.06163736,0.9294506,0.00013796543,0.0005002263,0.000045957382,0.0000021524797,0.00032710753,0.0012507007,0.00022112612],"about_ca_topic_score_codex":0.00017675212,"about_ca_topic_score_gemma":0.00014628358,"teacher_disagreement_score":0.5249533,"about_ca_system_score_codex":0.00015592284,"about_ca_system_score_gemma":0.0009245852,"threshold_uncertainty_score":0.94417757},"labels":[],"label_agreement":null},{"id":"W4205090859","doi":"10.1158/1538-7755.disp21-po-142","title":"Abstract PO-142: Analysis of the genomic landscapes of Barbadian and Nigerian women with triple negative breast cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Triple-negative breast cancer; Breast cancer; Oncology; Biology; Cohort; Germline; Genomics; Cancer research; Cancer; Germline mutation; Gene; Copy-number variation; Internal medicine; Genetics; Medicine; Mutation; Genome","score_opus":0.010990765054193614,"score_gpt":0.2727509897882004,"score_spread":0.2617602247340068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205090859","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":[0.99220586,0.005206142,0.00008553716,0.00082659844,0.00020671547,0.00028007972,0.0011317803,0.0000030773313,0.00005418257],"genre_scores_gemma":[0.99735814,0.0017395688,0.0001143487,0.0002706285,0.00005970672,0.00025104597,0.00010165626,0.000014783485,0.00009009562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986562,0.0002624997,0.00040131644,0.00035871097,0.000073104005,0.0002481266],"domain_scores_gemma":[0.99889857,0.000113354916,0.000547156,0.00030077447,0.000066506094,0.000073649484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067856803,0.00014631877,0.0004163162,0.00011313126,0.0001269874,0.0000035337387,0.00019969293,0.0000873879,0.0002726756],"category_scores_gemma":[0.000070608876,0.00011616257,0.00015538545,0.00032260627,0.00020607328,0.00000462609,0.0001578712,0.00009081485,1.14754144e-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":[0.0015445778,0.00008068147,0.9136659,0.000048617574,0.004477893,6.5210025e-7,0.0003128969,0.0060508493,0.06258902,0.00005096131,0.0015244805,0.009653481],"study_design_scores_gemma":[0.0007743687,0.0001963784,0.993821,0.000020757583,0.000491779,0.0000040902246,0.00039958203,0.00018315524,0.0023996495,0.00028599479,0.0012753132,0.00014788125],"about_ca_topic_score_codex":0.0018674918,"about_ca_topic_score_gemma":0.004591397,"teacher_disagreement_score":0.080155164,"about_ca_system_score_codex":0.00012689675,"about_ca_system_score_gemma":0.00027575527,"threshold_uncertainty_score":0.4736972},"labels":[],"label_agreement":null},{"id":"W4205102900","doi":"10.1158/1538-7755.disp21-po-099","title":"Abstract PO-099: African American women with breast cancer have unique molecular features and reduced clinical trial enrollment","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"","keywords":"Medicine; Incidence (geometry); Breast cancer; Internal medicine; Etiology; Epidemiology; Clinical trial; Oncology; Cancer; Demography","score_opus":0.030342153873831674,"score_gpt":0.3700029149408202,"score_spread":0.33966076106698856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205102900","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":[0.9834191,0.006661668,0.00013817198,0.007801399,0.0005271626,0.00095655886,0.00029492038,0.000037203255,0.00016380684],"genre_scores_gemma":[0.9914218,0.002190081,0.00067043013,0.0013746014,0.0003734084,0.003489234,0.0002299492,0.00005241821,0.00019806418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961107,0.0012719751,0.00067228096,0.00109981,0.00017934412,0.0006659191],"domain_scores_gemma":[0.99832046,0.00015617521,0.0007251878,0.0004682516,0.000091670576,0.0002382773],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015311525,0.00040245615,0.0007402354,0.00009546041,0.00032033553,0.000012415136,0.0002519731,0.00015984378,0.00014074086],"category_scores_gemma":[0.00010380901,0.00034963147,0.00020084831,0.00018236588,0.00073389104,0.000010919107,0.0003082439,0.00031519853,8.042564e-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":[0.20735276,0.0014375342,0.46552697,0.00009842838,0.011697402,0.00006704629,0.0006375652,0.00047528296,0.026523838,0.00014302104,0.020842712,0.26519746],"study_design_scores_gemma":[0.017032731,0.0024842417,0.9721532,0.000052807423,0.00029853897,0.00009110221,0.0012541512,0.0000065728873,0.00072130054,0.0005588528,0.004762705,0.00058381335],"about_ca_topic_score_codex":0.00203407,"about_ca_topic_score_gemma":0.0007420023,"teacher_disagreement_score":0.5066262,"about_ca_system_score_codex":0.00045048664,"about_ca_system_score_gemma":0.0003647573,"threshold_uncertainty_score":0.9998956},"labels":[],"label_agreement":null},{"id":"W4205162130","doi":"10.1158/1538-7755.disp21-po-120","title":"Abstract PO-120: Need for more sociodemographic data in qualitative childhood cancer research: Findings from a scoping review","year":2022,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","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":"CINAHL; Qualitative research; Medicine; Childhood cancer; Inclusion (mineral); MEDLINE; Ethnic group; Cancer; Family medicine; Clinical psychology; Gerontology; Psychology; Psychiatry; Psychological intervention; Social psychology; Internal medicine","score_opus":0.5543567974402622,"score_gpt":0.6101565081191352,"score_spread":0.055799710678873016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205162130","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":[0.00027030086,0.96461475,0.000112319736,0.014854578,0.0014090243,0.014345764,0.0042239176,0.00013114448,0.00003821648],"genre_scores_gemma":[0.000020910556,0.9607096,0.001583827,0.0031397855,0.00088380754,0.012962762,0.020356668,0.00023177445,0.00011092115],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9771511,0.011691105,0.005053287,0.0033829012,0.0009959394,0.0017256722],"domain_scores_gemma":[0.97349,0.020225853,0.0028281622,0.0027301754,0.00026199405,0.00046379337],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.042034533,0.0011434186,0.0077608987,0.0012742678,0.0004879346,0.000026746138,0.0017922906,0.0011555726,0.0023305826],"category_scores_gemma":[0.014525627,0.0010963646,0.001922708,0.0021336512,0.0009101882,0.00039378868,0.0009913169,0.0029619632,0.000022537743],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041221775,0.0005417339,0.0016922248,0.2870597,0.005842086,0.000022403954,0.0029277254,9.184715e-7,0.0000013475241,0.000049522514,0.07372844,0.62772167],"study_design_scores_gemma":[0.0021180573,0.0002098357,0.0032072437,0.68548465,0.0036948083,0.000012179409,0.0014135628,0.0000069945245,4.336032e-7,0.002260059,0.3006283,0.0009638732],"about_ca_topic_score_codex":0.010007938,"about_ca_topic_score_gemma":0.005650501,"teacher_disagreement_score":0.6267578,"about_ca_system_score_codex":0.0021544106,"about_ca_system_score_gemma":0.005766593,"threshold_uncertainty_score":0.99986976},"labels":[],"label_agreement":null},{"id":"W4205433721","doi":"10.1158/1055-9965.epi-30-10-hi","title":"Selected Articles from This Issue","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Incidence (geometry); Decile; Disease; Cancer registry; Cancer; Epidemiology","score_opus":0.056919639236763776,"score_gpt":0.3684688595874994,"score_spread":0.3115492203507356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205433721","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":[0.74848264,0.14365314,0.0020620076,0.09964468,0.0016032474,0.0005632634,0.00010848029,0.00021794852,0.003664574],"genre_scores_gemma":[0.90661055,0.02317177,0.033428155,0.015526041,0.0028286283,0.00048587678,0.002352139,0.00006847615,0.01552835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998486,0.00033960346,0.00039525153,0.00039869433,0.000087195534,0.00029328643],"domain_scores_gemma":[0.9988783,0.0004301453,0.00012477937,0.00020139568,0.0002451901,0.00012018317],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038111227,0.00013281936,0.00043121024,0.000038481732,0.00011092771,0.0000039210818,0.000044616336,0.00015796485,0.004878932],"category_scores_gemma":[0.00087499374,0.00012038655,0.00016889624,0.00028286173,0.000113840615,0.000048775077,0.000048985,0.00012613695,0.00014636086],"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":[0.00050166185,0.00024508513,0.4997643,0.00005988834,0.0012201046,0.000040704763,0.000040163017,0.0000014527786,0.01601954,0.00032498737,0.45225465,0.029527465],"study_design_scores_gemma":[0.0018819141,0.0001465477,0.8027737,0.00033843023,0.00039072643,0.000022489543,0.0001353948,0.00016037683,0.0062906323,0.019469962,0.16821054,0.00017929114],"about_ca_topic_score_codex":0.0006097916,"about_ca_topic_score_gemma":0.00030658947,"teacher_disagreement_score":0.30300942,"about_ca_system_score_codex":0.00013070242,"about_ca_system_score_gemma":0.00013242631,"threshold_uncertainty_score":0.99603075},"labels":[],"label_agreement":null},{"id":"W4205453258","doi":"10.1158/1538-7755.disp21-po-090","title":"Abstract PO-090: The impacts of depression and socioeconomic factors on cognitive function among low-income Asian and African American elderly aged 65 and above","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Cronbach's alpha; Depression (economics); Gerontology; Vietnamese; Geriatric Depression Scale; Socioeconomic status; Population; Public health; Late life depression; Demography; Cognition; Psychiatry; Cognitive impairment; Clinical psychology; Environmental health; Psychometrics; Depressive symptoms","score_opus":0.01873430896599353,"score_gpt":0.32254041726925886,"score_spread":0.3038061083032653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205453258","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":[0.98962295,0.008225768,0.000079919664,0.00080819894,0.000281235,0.0008250168,0.00006243873,0.000024379828,0.00007010276],"genre_scores_gemma":[0.9966303,0.002794769,0.000019966934,0.00025909246,0.00006719178,0.0001009704,0.000083723455,0.00002085199,0.00002313972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978236,0.00079621084,0.0004709137,0.00046778648,0.00011628487,0.0003252325],"domain_scores_gemma":[0.9981316,0.0008246656,0.0005798117,0.00019663555,0.000032870994,0.00023442882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016582937,0.00021093884,0.0006480221,0.00016730909,0.00034618072,0.0000061478504,0.000046872647,0.00011469231,0.0000736563],"category_scores_gemma":[0.00025685475,0.00015147573,0.0001966131,0.00011153969,0.0006511157,0.00008261025,0.00006634649,0.00039455263,5.8927617e-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":[0.0013546641,0.000036559664,0.8954551,0.00013203482,0.00067180046,0.0000026029727,0.0005712684,0.000005168597,0.0003196965,0.00000452799,0.00015261171,0.101293944],"study_design_scores_gemma":[0.0015036402,0.00085625704,0.9924321,0.00020248891,0.0004579005,0.00001593114,0.0038953195,0.00003366489,0.00010681071,0.0002614041,0.00010018518,0.0001342634],"about_ca_topic_score_codex":0.0027718977,"about_ca_topic_score_gemma":0.00050550496,"teacher_disagreement_score":0.101159684,"about_ca_system_score_codex":0.00016928276,"about_ca_system_score_gemma":0.00010858262,"threshold_uncertainty_score":0.6177001},"labels":[],"label_agreement":null},{"id":"W4205823875","doi":"10.1158/1538-7755.disp21-po-013","title":"Abstract PO-013: Racial differences in smoking rates among low-income adults living in a large urban area","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demography; Ethnic group; Medicine; Sexual orientation; Poverty level; Gerontology; Quarter (Canadian coin); Household income; Socioeconomic status; Poverty; Psychology; Geography; Population; Environmental health; Social psychology","score_opus":0.04372782989188577,"score_gpt":0.34907989494402725,"score_spread":0.30535206505214146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205823875","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":[0.9960926,0.0015986963,0.00008692689,0.0004090824,0.0010013838,0.0006252336,0.000019006078,0.000060413575,0.00010662511],"genre_scores_gemma":[0.99850696,0.00016475664,0.000028828352,0.00016761449,0.00014164347,0.0006570712,0.0001690709,0.000023714261,0.00014032939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969241,0.00084338436,0.0008713608,0.0005833376,0.00021225675,0.00056557934],"domain_scores_gemma":[0.9985482,0.00062427385,0.00046020327,0.00023508866,0.000040045343,0.00009218992],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034441142,0.00023216083,0.0006255637,0.00048290458,0.00017730202,0.000009206115,0.00015957393,0.00022717373,0.0011081615],"category_scores_gemma":[0.0006561839,0.00023259262,0.00017757693,0.0004863158,0.00010508515,0.00018511183,0.00011334179,0.00060419797,0.0000012088254],"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":[0.00043698307,0.00027219465,0.98967975,0.00009547205,0.00006815203,0.00003354854,0.0010152047,0.000024262901,0.00014085964,0.000015764183,0.00016580235,0.008052022],"study_design_scores_gemma":[0.0018008766,0.00013327542,0.9941365,0.0015805026,0.000071861265,0.0000062564623,0.0009557301,0.0006861903,0.000045700817,0.00033298993,0.00003754677,0.00021254999],"about_ca_topic_score_codex":0.0015430008,"about_ca_topic_score_gemma":0.0025441286,"teacher_disagreement_score":0.007839472,"about_ca_system_score_codex":0.00077274203,"about_ca_system_score_gemma":0.0001391641,"threshold_uncertainty_score":0.999805},"labels":[],"label_agreement":null},{"id":"W4205958649","doi":"10.1158/1538-7755.disp21-po-247","title":"Abstract PO-247: Is colorectal cancer screening in West Africa worthwhile? A prospective multi-institutional study of 2,330 average-risk Nigerians using fecal immunochemical testing (FIT)","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Dalhousie University","funders":"","keywords":"Medicine; Colonoscopy; Nigerians; Colorectal cancer; Population; Outreach; Demography; Cancer; Internal medicine; Environmental health","score_opus":0.11013410146787617,"score_gpt":0.3718133681398641,"score_spread":0.26167926667198793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205958649","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":[0.989561,0.0045085507,0.0029463563,0.00018375466,0.00071019446,0.0017628876,0.00012062617,0.00010110516,0.00010553269],"genre_scores_gemma":[0.99409163,0.00008259673,0.004219148,0.00006560284,0.00019647152,0.0012118535,0.000044877237,0.000040518393,0.00004732493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996017,0.000823037,0.0011991307,0.00097237,0.0003698281,0.00061864994],"domain_scores_gemma":[0.9977757,0.0006493115,0.0009224698,0.00028112496,0.00022141982,0.00014999132],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002378257,0.00038158477,0.00096463645,0.00042137006,0.00056967005,0.000009993455,0.0001851516,0.00022916902,0.00045383972],"category_scores_gemma":[0.0010579212,0.00038468587,0.00029845483,0.0011292641,0.00027337045,0.00016647179,0.0002228832,0.0010061197,0.0000016416001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008727221,0.0010236343,0.9406052,0.00006590839,0.0007795619,0.0000372209,0.0014718542,0.014102001,0.012716957,0.0000020587754,0.00010138332,0.020366974],"study_design_scores_gemma":[0.0052088583,0.0020031324,0.96030104,0.0004725814,0.000323424,0.00008341216,0.0014519689,0.02835959,0.0013040485,0.000091139824,0.000056686345,0.00034410637],"about_ca_topic_score_codex":0.016885426,"about_ca_topic_score_gemma":0.002970986,"teacher_disagreement_score":0.020022867,"about_ca_system_score_codex":0.0016388225,"about_ca_system_score_gemma":0.00068324746,"threshold_uncertainty_score":0.9998605},"labels":[],"label_agreement":null},{"id":"W4206512987","doi":"10.1158/1538-7755.disp21-ia-37","title":"Abstract IA-37: Addressing cancer health disparities among Indigenous communities","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"Spinal Cord Injury BC; University of Northern British Columbia","funders":"","keywords":"Indigenous; Health equity; Cancer; Political science; Medicine; Gerontology; Law; Health care","score_opus":0.2571274028434477,"score_gpt":0.4710670457417367,"score_spread":0.21393964289828898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206512987","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":[0.87272143,0.113922335,0.0003882767,0.009781188,0.001397817,0.0009487321,0.00015898107,0.00017454133,0.0005067097],"genre_scores_gemma":[0.98417985,0.006128732,0.00061889365,0.006488463,0.00029694865,0.0011320931,0.00046713918,0.000042140935,0.0006457093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99627817,0.0011179894,0.00094345317,0.00044058845,0.0003276386,0.00089216564],"domain_scores_gemma":[0.9979915,0.0003756817,0.00079962815,0.00046241394,0.00010476608,0.00026599012],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031840294,0.000302879,0.0008806556,0.00018682051,0.0012946264,0.000019188423,0.00030958254,0.00015742215,0.0016825123],"category_scores_gemma":[0.00012088022,0.0003072655,0.00030737135,0.0003172092,0.00046699503,0.00025424146,0.0002268693,0.000794329,0.0000057474567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054556894,0.00009340449,0.9105016,0.00027185483,0.00050159066,0.000018434184,0.0012802785,0.0006974781,0.00008660094,0.000100243786,0.027684182,0.05821876],"study_design_scores_gemma":[0.0010335874,0.00040927686,0.98168766,0.0011716994,0.0001639868,0.00005009789,0.00451807,0.00033220588,0.000042295684,0.0016623399,0.00861225,0.00031654467],"about_ca_topic_score_codex":0.08088192,"about_ca_topic_score_gemma":0.010999067,"teacher_disagreement_score":0.11145846,"about_ca_system_score_codex":0.001633016,"about_ca_system_score_gemma":0.0009808453,"threshold_uncertainty_score":0.99993795},"labels":[],"label_agreement":null},{"id":"W4206585470","doi":"10.1158/1055-9965.epi-21-0747","title":"Accounting for <i>EGFR</i> Mutations in Epidemiologic Analyses of Non–Small Cell Lung Cancers: Examples Based on the International Lung Cancer Consortium Data","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":2,"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; Public Health Ontario; University of Toronto; University of Ottawa; Princess Margaret Cancer Centre","funders":"National Cancer Institute; National Institutes of Health; World Health Organization; Swiss Cancer Research Foundation; Financiadora de Estudos e Projetos; Princess Margaret Cancer Foundation; Hospital de Câncer de Barretos","keywords":"Oncology; Medicine; Lung cancer; Concordance; Internal medicine; Imputation (statistics); Missing data; Statistics","score_opus":0.1560184449681514,"score_gpt":0.459612541416953,"score_spread":0.30359409644880164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206585470","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":[0.81026906,0.040695753,0.060231205,0.06553562,0.0047259247,0.010044058,0.0060984553,0.00015627733,0.0022436236],"genre_scores_gemma":[0.979671,0.00077598135,0.0057139155,0.0045823315,0.00020384297,0.0053949156,0.0032166399,0.00003764729,0.0004037157],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678695,0.0007476467,0.0010577423,0.000771035,0.00019449182,0.0004421389],"domain_scores_gemma":[0.9942366,0.0038481632,0.0009884578,0.000676593,0.00017442953,0.000075782125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034838705,0.00026062343,0.00067856064,0.00031758455,0.00031811817,0.00000915313,0.0005422881,0.00011103149,0.0007466539],"category_scores_gemma":[0.001212144,0.0002005682,0.0002624198,0.00044670922,0.00019349219,0.00012649516,0.00018208608,0.00028236568,7.614824e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008184424,0.00033224648,0.89131445,0.00028857827,0.0015403029,0.0000051015713,0.00020434891,0.055554472,0.0032133337,0.00022050978,0.041546457,0.004961747],"study_design_scores_gemma":[0.0065128827,0.0004203348,0.2788772,0.000849855,0.0034151655,0.0000060880448,0.0016200509,0.69649565,0.0012647124,0.0013397321,0.00873535,0.00046296156],"about_ca_topic_score_codex":0.0070677293,"about_ca_topic_score_gemma":0.0018161092,"teacher_disagreement_score":0.6409412,"about_ca_system_score_codex":0.0015653527,"about_ca_system_score_gemma":0.0013739615,"threshold_uncertainty_score":0.99954426},"labels":[],"label_agreement":null},{"id":"W4206839628","doi":"10.1158/1538-7755.disp21-po-262","title":"Abstract PO-262: Interventions designed to increase the uptake of lung cancer screening and implications for populations experiencing the greatest burden of lung cancer disparities: A scoping study","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"Toronto Public Health; Public Health Ontario; Women's College Hospital","funders":"","keywords":"Psychological intervention; CINAHL; Medicine; Lung cancer screening; Lung cancer; Checklist; Family medicine; MEDLINE; Health care; Gerontology; Nursing; Pathology; Psychology","score_opus":0.22301089179261446,"score_gpt":0.48804903032518976,"score_spread":0.2650381385325753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206839628","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":[0.93385416,0.03313261,0.017396241,0.010411901,0.00031939166,0.0045224894,0.0003030029,0.000034031258,0.000026162874],"genre_scores_gemma":[0.98770994,0.00039981745,0.0018486702,0.00042284396,0.0001420608,0.009279234,0.000068639325,0.00002671286,0.000102069214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717355,0.0004774197,0.0012407374,0.0004982559,0.00019573033,0.00041433825],"domain_scores_gemma":[0.9975259,0.0007947695,0.0008084887,0.00046457507,0.00027370985,0.00013258644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029110122,0.0002260565,0.00061897055,0.00018192476,0.000917584,0.000014738684,0.00031475563,0.00007338303,0.0001984062],"category_scores_gemma":[0.00079284364,0.00017136682,0.00034189183,0.0005379876,0.00021456857,0.00016382849,0.00022530845,0.00021925896,8.2332164e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007982102,0.00011663698,0.9597848,0.0004817176,0.0009798921,9.487594e-7,0.0031128197,0.006063872,0.0017146597,0.00040103096,0.002741234,0.023804184],"study_design_scores_gemma":[0.0012454914,0.0003561308,0.98270816,0.0033397567,0.0012862548,0.000009975244,0.006979098,0.00335931,0.00006250238,0.00034153607,0.00012541753,0.00018640027],"about_ca_topic_score_codex":0.039050486,"about_ca_topic_score_gemma":0.0068115406,"teacher_disagreement_score":0.05385578,"about_ca_system_score_codex":0.00041314002,"about_ca_system_score_gemma":0.00037774496,"threshold_uncertainty_score":0.9673486},"labels":[],"label_agreement":null},{"id":"W4206936353","doi":"10.1158/1055-9965.epi-21-0341","title":"Comparison of Approaches for Measuring Adherence and Persistence to Oral Oncologic Therapies in Patients Diagnosed with Metastatic Renal Cell Carcinoma","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; Novo Nordisk; UCB US; Queen's University; Cancer Research UK; GlaxoSmithKline; AstraZeneca; Queen's University Belfast; Bristol-Myers Squibb","keywords":"Medicine; Pazopanib; Renal cell carcinoma; Persistence (discontinuity); Internal medicine; Sunitinib; Confidence interval; Cumulative incidence; Censoring (clinical trials); Incidence (geometry); Cause of death; Oncology; Epidemiology; Disease; Transplantation; Pathology","score_opus":0.2705672300839741,"score_gpt":0.3740158288427589,"score_spread":0.10344859875878482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206936353","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":[0.99015385,0.006653513,0.00070241926,0.00035478512,0.000077562676,0.001980998,0.000020993597,0.000011422427,0.00004444465],"genre_scores_gemma":[0.98816997,0.000023656548,0.009843453,0.00008520382,0.00000942628,0.0017138375,0.00007689488,0.00001533455,0.000062231404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978037,0.00074295135,0.0005282128,0.00047100312,0.000154749,0.00029939922],"domain_scores_gemma":[0.9987605,0.0005095079,0.0003697709,0.00019067292,0.000070208924,0.00009932015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012048433,0.00018752427,0.0007364613,0.00017408813,0.00009934527,0.000002495303,0.000099068544,0.00004811275,0.00003366522],"category_scores_gemma":[0.00013862395,0.00014822079,0.00011189162,0.0002134404,0.00013991658,0.000047352984,0.000071494134,0.00013008018,3.5838164e-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":[0.0035018711,0.0005629355,0.97635025,0.00023044033,0.0001961266,0.000004901303,0.0010823745,0.0005447202,0.00064067397,0.000011934835,0.00017228501,0.016701492],"study_design_scores_gemma":[0.004436618,0.008376725,0.9821572,0.000111993744,0.00033651263,0.000003878154,0.0019560591,0.00078279,0.0014636315,0.00016399976,0.00006632906,0.00014426593],"about_ca_topic_score_codex":0.00030849117,"about_ca_topic_score_gemma":0.00034343923,"teacher_disagreement_score":0.016557226,"about_ca_system_score_codex":0.00045585132,"about_ca_system_score_gemma":0.00013109972,"threshold_uncertainty_score":0.60442686},"labels":[],"label_agreement":null},{"id":"W4207028675","doi":"10.1158/1055-9965.epi-21-1091","title":"Reproductive Factors Do Not Influence Survival with Ovarian Cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","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 British Columbia","funders":"Medical Research and Materiel Command; National Center for Research Resources; National Cancer Institute; Cancer Council Western Australia; Cancer Research UK; National Institutes of Health; National Health and Medical Research Council; California Breast Cancer Research Program; U.S. Department of Defense","keywords":"Ovarian cancer; Ovarian carcinomas; Ovary; Risk factor; Survival analysis; Proportional hazards model","score_opus":0.0646818429343967,"score_gpt":0.3676601196477506,"score_spread":0.30297827671335387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207028675","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":[0.9627333,0.009257677,0.0002640143,0.023924585,0.0016713447,0.0014242278,0.00018112165,0.00012422404,0.00041946967],"genre_scores_gemma":[0.992477,0.0012110921,0.0009871592,0.0012415989,0.00030813852,0.0025000137,0.00017599364,0.000049463128,0.0010495664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965061,0.0008683207,0.0005904297,0.0011825945,0.0002941869,0.0005583921],"domain_scores_gemma":[0.9980583,0.0003760364,0.0005140182,0.0006914166,0.00015362912,0.00020657352],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015431207,0.00034143263,0.0007920114,0.0001719199,0.00037900673,0.000009585744,0.00017001099,0.00012203906,0.0019329608],"category_scores_gemma":[0.00023683732,0.00027209806,0.00023512819,0.00047361437,0.00025526556,0.00015017597,0.00012888346,0.00037563697,0.000008168903],"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":[0.0019737694,0.00030529767,0.9745137,0.000057540292,0.0020138912,0.000034546963,0.0002832967,0.0008737927,0.00041720478,0.00079607643,0.0039397404,0.014791125],"study_design_scores_gemma":[0.0027261823,0.0008897218,0.97584915,0.00020005442,0.0007440745,0.00002943083,0.00037650508,0.00003686253,0.0008118908,0.0009514632,0.017078433,0.0003062357],"about_ca_topic_score_codex":0.0041171485,"about_ca_topic_score_gemma":0.0004346488,"teacher_disagreement_score":0.029743638,"about_ca_system_score_codex":0.0013516312,"about_ca_system_score_gemma":0.00059397286,"threshold_uncertainty_score":0.9999731},"labels":[],"label_agreement":null},{"id":"W4210315623","doi":"10.1158/1055-9965.epi-06-0582","title":"Physical Activity and Breast Cancer Risk: The European Prospective Investigation into Cancer and Nutrition","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","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":"Alberta Cancer Foundation","funders":"","keywords":"Medicine; Breast cancer; Quartile; Body mass index; Hazard ratio; Confidence interval; Prospective cohort study; Metabolic equivalent; European Prospective Investigation into Cancer and Nutrition; Proportional hazards model; Menarche; Cancer; Gynecology; Internal medicine; Obstetrics; Demography; Physical activity; Physical therapy","score_opus":0.03076240743371834,"score_gpt":0.3648561386151216,"score_spread":0.3340937311814033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210315623","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":[0.97925526,0.009401432,0.0008182714,0.008938462,0.0003645064,0.0010005169,0.00006418829,0.000058049787,0.00009931281],"genre_scores_gemma":[0.9878084,0.010278576,0.00019073092,0.00033609263,0.00093044713,0.00027615397,0.000021739572,0.000028230812,0.0001296103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980736,0.0006105237,0.000298622,0.00056076254,0.000115252784,0.0003412705],"domain_scores_gemma":[0.99875915,0.00033117534,0.0003935457,0.00020368451,0.00011317865,0.00019926245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020223262,0.00023394388,0.00041875243,0.00009423511,0.00028544635,0.0000124997705,0.00006157188,0.00013104806,0.000029673112],"category_scores_gemma":[0.0001313713,0.0001675585,0.00011306155,0.00022756084,0.0006817757,0.00018899441,0.000062403895,0.0003616953,0.0000019439756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007393833,0.00007462749,0.69142944,0.00010311216,0.00027106795,0.0000018479641,0.0005624874,0.0000022119546,0.0048812088,0.00007049706,0.0010588221,0.30080527],"study_design_scores_gemma":[0.0014459357,0.00013861613,0.99080646,0.00040283555,0.00042885568,0.000021398324,0.00017216758,0.00042742645,0.0012679284,0.0040823426,0.00062956184,0.00017645335],"about_ca_topic_score_codex":0.015544331,"about_ca_topic_score_gemma":0.0071048397,"teacher_disagreement_score":0.30062884,"about_ca_system_score_codex":0.00043661045,"about_ca_system_score_gemma":0.00010924211,"threshold_uncertainty_score":0.99101126},"labels":[],"label_agreement":null},{"id":"W4210838359","doi":"10.1158/1055-9965.epi-21-1082","title":"Clinical Performance of the BD Onclarity Extended Genotyping Assay for the Management of Women Positive for Human Papillomavirus in Cervical Cancer Screening","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Concordance; Genotyping; Triage; Cytology; Cervical intraepithelial neoplasia; Cervical cancer; Medicine; Genotype; Human papillomavirus; Positive predicative value; Gynecology; Viral load; Cervical cancer screening; Colposcopy; Cancer; Oncology; Internal medicine; Obstetrics; Virology; Pathology; Virus; Biology; Predictive value; Genetics","score_opus":0.13501043565454596,"score_gpt":0.46870542665525944,"score_spread":0.3336949910007135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210838359","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":[0.96787614,0.010946203,0.0074684215,0.00735685,0.00073285203,0.005100665,0.00018892004,0.00001951618,0.00031043452],"genre_scores_gemma":[0.99200696,0.0012475621,0.0013274872,0.00071828574,0.00014925662,0.004137919,0.00004650496,0.00002235826,0.0003436827],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996595,0.0010776139,0.0010466293,0.00045241226,0.00025067801,0.0005776195],"domain_scores_gemma":[0.99731815,0.0015266585,0.0004867417,0.00039601652,0.0001802752,0.00009218477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010556962,0.0001568594,0.0006915645,0.00009164739,0.00038031253,0.0000026793814,0.00037630022,0.00013477911,0.0005869332],"category_scores_gemma":[0.00022486398,0.00010773178,0.00044877996,0.00029777162,0.00038632285,0.00004574451,0.00034928773,0.00044951876,1.8172364e-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":[0.008106541,0.00029359374,0.48028642,0.001070891,0.0016048582,9.172545e-7,0.00026364787,0.0003224965,0.00039883182,0.001518566,0.00047039066,0.50566286],"study_design_scores_gemma":[0.0036191747,0.0007824523,0.98323727,0.00023616316,0.00031923084,0.0000015062075,0.00043018372,0.005799587,0.00024966066,0.002868516,0.002346945,0.00010933468],"about_ca_topic_score_codex":0.0009374745,"about_ca_topic_score_gemma":0.00052367634,"teacher_disagreement_score":0.50555354,"about_ca_system_score_codex":0.0008542236,"about_ca_system_score_gemma":0.00022667984,"threshold_uncertainty_score":0.6426507},"labels":[],"label_agreement":null},{"id":"W4211209990","doi":"10.1158/1055-9965.epi-21-1060","title":"Biomarkers of Glucose Homeostasis and Inflammation with Risk of Prostate Cancer: A Case–Cohort Study","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","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":"McGill University","funders":"National Cancer Institute; Centers for Disease Control and Prevention; American Cancer Society","keywords":"Prostate cancer; Prostate; Inflammation; Glucose homeostasis; Cancer; Homeostasis","score_opus":0.022658989370692287,"score_gpt":0.3271926399397925,"score_spread":0.3045336505691002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211209990","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":[0.9680748,0.026131898,0.00009342957,0.0006123902,0.00028000947,0.0043588914,0.00033488937,0.00006791956,0.000045755256],"genre_scores_gemma":[0.9901783,0.0045708255,0.0016349969,0.000048296457,0.000051190364,0.0032946246,0.00012607554,0.000052306506,0.000043378037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99451303,0.0023707368,0.001419024,0.00082493736,0.00040201354,0.00047025242],"domain_scores_gemma":[0.996411,0.0005209517,0.0019132055,0.0006244229,0.0003182478,0.00021212109],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0051505095,0.00037617382,0.0011258043,0.0005507241,0.00031990258,0.000005308438,0.00016057315,0.00014408406,0.0003163579],"category_scores_gemma":[0.00046871597,0.000337179,0.00025147077,0.00078628137,0.0006500419,0.00017161242,0.00023712458,0.0002890651,7.2922205e-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":[0.0070617655,0.00040885765,0.8878382,0.00056595233,0.0071008895,0.0001776619,0.0005632816,0.00008719441,0.0009042775,0.0000145523545,0.00054885953,0.09472853],"study_design_scores_gemma":[0.004882401,0.0019183344,0.9816328,0.00034298335,0.0042397375,0.00030827982,0.002601464,0.00067344995,0.0024252157,0.00032110725,0.0003180991,0.00033610454],"about_ca_topic_score_codex":0.002227201,"about_ca_topic_score_gemma":0.00059126486,"teacher_disagreement_score":0.09439243,"about_ca_system_score_codex":0.00045261453,"about_ca_system_score_gemma":0.0004600839,"threshold_uncertainty_score":0.99990803},"labels":[],"label_agreement":null},{"id":"W4220887859","doi":"10.1158/1055-9965.epi-21-1008","title":"Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","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":"Memorial University of Newfoundland","funders":"National Cancer Institute","keywords":"Colorectal cancer; Metabolomics; Colonic disease; Cancer; Genome-wide association study; Genomics","score_opus":0.030333509134070704,"score_gpt":0.33753270160844256,"score_spread":0.3071991924743719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220887859","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":[0.9119994,0.07812465,0.005086373,0.00041320242,0.0003545839,0.00029748646,0.0037034897,0.000009881863,0.000010936052],"genre_scores_gemma":[0.9474597,0.0465,0.002836027,0.0001306407,0.00017828285,0.00013349392,0.002604946,0.000021096563,0.00013582566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967389,0.0012157223,0.0006838982,0.000877664,0.00010643864,0.0003773687],"domain_scores_gemma":[0.9985251,0.0001244631,0.0006689033,0.00049000967,0.00008845298,0.00010306624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002832837,0.00024231343,0.00088681874,0.00026141223,0.00028009657,0.0000072865805,0.0003327926,0.0002734275,0.00011561404],"category_scores_gemma":[0.00027253985,0.00023236242,0.00018746774,0.0004935142,0.0002811708,0.00000922841,0.0010802305,0.00026698894,1.5750703e-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":[0.0003475775,0.000059306003,0.89001137,0.000028040242,0.009326689,5.0479116e-7,0.00006494934,0.00025244016,0.0869771,0.000029614093,0.0032712682,0.009631136],"study_design_scores_gemma":[0.0011227799,0.0003858238,0.96456844,0.000013091893,0.007238526,0.0000033978254,0.0003785132,0.005735185,0.00410389,0.00076071144,0.015325874,0.00036374296],"about_ca_topic_score_codex":0.000432748,"about_ca_topic_score_gemma":0.0011064563,"teacher_disagreement_score":0.08287322,"about_ca_system_score_codex":0.00004112816,"about_ca_system_score_gemma":0.00009524543,"threshold_uncertainty_score":0.9475464},"labels":[],"label_agreement":null},{"id":"W4221033379","doi":"10.1158/1055-9965.epi-21-0875","title":"B-Cell NHL Subtype Risk Associated with Autoimmune Conditions and PRS","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canadian Centre for Applied Research in Cancer Control","funders":"National Cancer Institute; Cancer Council NSW; Medical Research Council; Cancerfonden; Canadian Institutes of Health Research; Institut National Du Cancer; National Health and Medical Research Council; Michael Smith Health Research BC; University of California, San Francisco; Instituto de Salud Carlos III; Bundesamt für Strahlenschutz; Stockholms Läns Landsting; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; José Carreras Leukämie-Stiftung; University of Sydney; Blood Cancer UK; Karolinska Institutet; Compagnia di San Paolo; European Commission; Fondation de France; National Institutes of Health; Friends of José Carreras International Leukemia Foundation; Health Research Board; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Yale University","keywords":"Medicine; Immunology","score_opus":0.03089908156191701,"score_gpt":0.3246233621047775,"score_spread":0.2937242805428605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221033379","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":[0.9776832,0.016745929,0.00008575117,0.0034858373,0.00028763353,0.0007601593,0.00015630276,0.00009038483,0.0007047878],"genre_scores_gemma":[0.9938736,0.0014967864,0.00033096093,0.00058902736,0.000029481791,0.0009735079,0.00080094475,0.000020965672,0.0018847188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795604,0.0008501216,0.00036407245,0.0004103853,0.00011106432,0.00030833145],"domain_scores_gemma":[0.9986189,0.00054919824,0.00043536097,0.00022983219,0.000054492277,0.00011222171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010651189,0.00017600725,0.0004557627,0.00013780977,0.00040329344,0.00000431329,0.000055623004,0.00009823884,0.00068667304],"category_scores_gemma":[0.00022813879,0.00014464816,0.00012683214,0.0002673142,0.00018552464,0.000053795487,0.000065233144,0.00017686606,0.000007983907],"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":[0.00038234555,0.000608115,0.97625625,0.000021682195,0.0011952429,0.000027137517,0.00006783769,0.00005453542,0.00020872016,0.00020833447,0.01664557,0.0043242085],"study_design_scores_gemma":[0.004758711,0.0010447229,0.9851738,0.00010192357,0.0010132405,0.00003891791,0.00012436676,0.00039757206,0.0001011796,0.0013941573,0.0056991405,0.0001522702],"about_ca_topic_score_codex":0.00053817825,"about_ca_topic_score_gemma":0.00010950948,"teacher_disagreement_score":0.016190391,"about_ca_system_score_codex":0.0005647276,"about_ca_system_score_gemma":0.0002157751,"threshold_uncertainty_score":0.75185883},"labels":[],"label_agreement":null},{"id":"W4221049586","doi":"10.1158/1055-9965.epi-21-0724","title":"Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":"Ontario Institute for Cancer Research; Lunenfeld-Tanenbaum Research Institute; Hospital for Sick Children","funders":"Office of Research Infrastructure Programs, National Institutes of Health; U.S. Department of Health and Human Services; National Institutes of Health; National Cancer Institute; Fred Hutchinson Cancer Research Center; World Health Organization","keywords":"Colorectal cancer; Genome-wide association study; dNaM; DNA methylation; Genome; Methylation; Genetic association","score_opus":0.03341448657633752,"score_gpt":0.33531533695005045,"score_spread":0.30190085037371295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221049586","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":[0.97241396,0.014284042,0.011996045,0.00028163005,0.0004601285,0.00039229495,0.00009164169,0.000005333685,0.0000749055],"genre_scores_gemma":[0.99495846,0.0015678668,0.0026577727,0.00003184337,0.00006869456,0.00029053542,0.00028246982,0.000018449151,0.00012389466],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978911,0.0005877506,0.0007771506,0.0003928139,0.00013158335,0.00021956778],"domain_scores_gemma":[0.9988367,0.00011107902,0.0007056726,0.00022069878,0.000088931825,0.000036949863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012724017,0.00015049837,0.0003454729,0.00015317187,0.00007240333,0.0000019485103,0.00015003809,0.00018256182,0.00015000114],"category_scores_gemma":[0.00023747134,0.00016421921,0.00015654184,0.00025976478,0.00016339356,0.000010338607,0.00013050431,0.00009883992,2.1042166e-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":[0.00036299057,0.00007927093,0.2552426,0.000038160433,0.00011168316,1.0327848e-7,0.000068370355,0.020370783,0.715556,0.00013038334,0.00009485325,0.007944789],"study_design_scores_gemma":[0.0007039299,0.00037617979,0.70146793,0.000037877307,0.000056967216,8.4589243e-7,0.000072750765,0.0016036424,0.2916406,0.0029306621,0.0009525817,0.00015602575],"about_ca_topic_score_codex":0.0006564106,"about_ca_topic_score_gemma":0.0009180693,"teacher_disagreement_score":0.44622535,"about_ca_system_score_codex":0.00010177953,"about_ca_system_score_gemma":0.00017939723,"threshold_uncertainty_score":0.66966647},"labels":[],"label_agreement":null},{"id":"W4221092517","doi":"10.1158/1055-9965.epi-21-1256","title":"A Review of Ethical and Legal Aspects of Gender-Neutral Human Papillomavirus Vaccination","year":2022,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"University of Calgary; McGill University","funders":"Canadian Institutes of Health Research; Cancer Research Society; McGill University","keywords":"Gardasil; Vaccination; Human papillomavirus; Cervical cancer; Medicine; Family medicine; Timeline; HPV vaccines; HPV infection; Gynecology; Political science; Virology; Cancer; Geography; Internal medicine","score_opus":0.2875683864329201,"score_gpt":0.534184941716854,"score_spread":0.24661655528393395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221092517","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":[0.000012898136,0.99206644,0.000031255968,0.0010931286,0.00024213246,0.0018844078,0.0000647974,0.000024305093,0.0045806295],"genre_scores_gemma":[0.00010939587,0.997266,0.00013628617,0.0008397654,0.0001743412,0.0006026087,0.0006308463,0.000044838904,0.00019595138],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939612,0.0026298657,0.0019807376,0.0007197288,0.00029111427,0.00041735594],"domain_scores_gemma":[0.9968021,0.0010432764,0.0012452977,0.00050235575,0.00019996792,0.0002069905],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0054430743,0.00037537146,0.0036375585,0.00034448615,0.00009937842,0.0000028286643,0.00023098376,0.0007612572,0.006793304],"category_scores_gemma":[0.0013426908,0.00031330786,0.0010666316,0.00052418985,0.0002665755,0.000053542088,0.0002223194,0.0013977106,0.0000028242343],"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":[0.000097747485,0.00008335985,0.00009804979,0.25560564,0.0008358187,0.000008273484,0.0000064143646,5.255802e-8,0.00000433922,0.0036290095,0.0056388536,0.73399246],"study_design_scores_gemma":[0.0008237431,0.0006071822,0.0036074836,0.035824418,0.003291555,0.00009397707,0.000007687948,0.0000034260354,0.0000074259224,0.0030144013,0.952474,0.00024470733],"about_ca_topic_score_codex":0.00031650878,"about_ca_topic_score_gemma":0.00008034249,"teacher_disagreement_score":0.94683516,"about_ca_system_score_codex":0.00048064906,"about_ca_system_score_gemma":0.0009788228,"threshold_uncertainty_score":0.9999319},"labels":[],"label_agreement":null},{"id":"W4224221911","doi":"10.1158/1055-9965.epi-21-1003","title":"Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Alcohol Consumption and Health Effects","field":"Medicine","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":"Memorial University of Newfoundland; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; U.S. Department of Health and Human Services; Cancer Research UK; National Institutes of Health; Brigham and Women's Hospital; World Health Organization","keywords":"Colorectal cancer; Genome-wide association study; Allele; Single-nucleotide polymorphism; SNP; Genotype; Genetics; Oncology; Medicine; Internal medicine; Biology; Cancer; Gene","score_opus":0.2252822303443738,"score_gpt":0.47546054847843716,"score_spread":0.2501783181340633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224221911","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":[0.9451244,0.027980268,0.013151891,0.009721777,0.00081701693,0.0031008718,0.000055579698,0.000029670378,0.000018548242],"genre_scores_gemma":[0.99076545,0.005753188,0.0009595176,0.0005066991,0.000056631718,0.0017981855,0.000050815852,0.000016038333,0.000093484625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781555,0.000882618,0.00057809916,0.00035599823,0.0001381468,0.00022960533],"domain_scores_gemma":[0.9957159,0.0029178741,0.0009277608,0.0001623164,0.00019701256,0.000079147074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022118357,0.00014948855,0.00050583674,0.00013837189,0.00023575345,0.0000022070142,0.00007212553,0.00009534585,0.00010863475],"category_scores_gemma":[0.00047907373,0.000109924484,0.0001112244,0.00016661103,0.00043229936,0.00011557659,0.00005299253,0.00022979855,5.0924797e-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":[0.035824154,0.00023338402,0.87034553,0.0023732344,0.0020467301,0.000011284619,0.0014173886,0.0008969096,0.013575338,0.0018953603,0.0052025816,0.06617812],"study_design_scores_gemma":[0.00541991,0.004617323,0.9661932,0.0018501972,0.0017724353,0.00036089987,0.00081664004,0.013748796,0.0022066778,0.0015754445,0.001190217,0.00024826796],"about_ca_topic_score_codex":0.00075424963,"about_ca_topic_score_gemma":0.00027171886,"teacher_disagreement_score":0.09584768,"about_ca_system_score_codex":0.0003273241,"about_ca_system_score_gemma":0.0003390676,"threshold_uncertainty_score":0.44825906},"labels":[],"label_agreement":null},{"id":"W4224231284","doi":"10.1158/1055-9965.epi-21-1428","title":"Occupational Exposure to Polycyclic Aromatic Hydrocarbons and Lung Cancer Risk: Results from a Pooled Analysis of Case–Control Studies (SYNERGY)","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Occupational Cancer Research Centre; Public Health Ontario; Toronto Public Health; Université de Montréal","funders":"Deutsche Gesetzliche Unfallversicherung; World Health Organization","keywords":"Lung cancer; Medicine; Confidence interval; Case-control study; Carcinogen; Population; Job-exposure matrix; Logistic regression; Internal medicine; Relative risk; Environmental health; Epidemiology; Tobacco smoke; Cancer; Odds ratio; Oncology; Chemistry","score_opus":0.025561096580409007,"score_gpt":0.338000165199984,"score_spread":0.312439068619575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224231284","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":[0.97871804,0.014729125,0.0013562504,0.0019107232,0.00038884534,0.00046728138,0.0023658236,0.000036584115,0.000027334001],"genre_scores_gemma":[0.9976329,0.00044062638,0.00094543654,0.0004966685,0.000046790134,0.00025305973,0.000033373977,0.000017377048,0.00013374965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99582505,0.0018294463,0.0009653761,0.00072163926,0.00024110694,0.000417387],"domain_scores_gemma":[0.99689925,0.0015919573,0.000899519,0.0004224324,0.000001892887,0.0001849424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023559246,0.0002457491,0.0007899439,0.00026333795,0.00032561895,0.0000048983293,0.00021847122,0.00009813147,0.00064321485],"category_scores_gemma":[0.0014684768,0.00023013292,0.00022515346,0.0010530503,0.00026126907,0.00012381017,0.00023959616,0.00017646271,0.0000032052287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011890416,0.00010010001,0.90123796,0.000004681309,0.018193258,0.000034177094,0.0015611482,0.0076900413,0.009953569,0.0000023764844,0.003134933,0.056898713],"study_design_scores_gemma":[0.0013571312,0.00015948788,0.974728,0.0000321674,0.0073662098,0.000013661766,0.00036927458,0.014508478,0.00012640315,0.0010319145,0.000067590765,0.00023970963],"about_ca_topic_score_codex":0.01177008,"about_ca_topic_score_gemma":0.01234263,"teacher_disagreement_score":0.07349001,"about_ca_system_score_codex":0.0008925261,"about_ca_system_score_gemma":0.00007432445,"threshold_uncertainty_score":0.99481064},"labels":[],"label_agreement":null},{"id":"W4224241165","doi":"10.1158/1055-9965.epi-22-0160","title":"Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer 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":"Cytodiagnostics (Canada)","funders":"School of Public Health, Imperial College London; Health and Medical Research Fund; Instituto de Salud Carlos III; World Cancer Research Fund; Medical Research Council; Institut Gustave-Roussy; Deutsche Krebshilfe; Institut National de la Santé et de la Recherche Médicale; Imperial College London; Associazione Italiana per la Ricerca sul Cancro; Cancerfonden; Bundesministerium für Bildung und Forschung; Ligue Contre le Cancer; National Institute for Health and Care Research; Vetenskapsrådet; Cancer Research UK; Deutsches Krebsforschungszentrum; World Health Organization","keywords":"Endometrial cancer; Cancer; Anthropometry; Prospective cohort study; Phenotype; Risk factor","score_opus":0.03246515205876427,"score_gpt":0.33528289677165546,"score_spread":0.3028177447128912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224241165","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":[0.9287383,0.06310256,0.00005093483,0.0056889476,0.00044089105,0.0016338356,0.00014778042,0.000025153518,0.00017161742],"genre_scores_gemma":[0.9750671,0.021080134,0.00089830026,0.0005171263,0.00032331518,0.0019459387,0.000059380796,0.0000207624,0.00008796419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954615,0.0028705243,0.0006679668,0.00051871093,0.00021279535,0.00026849442],"domain_scores_gemma":[0.99748784,0.0015995154,0.00052674755,0.00018902088,0.000091378184,0.000105505096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003349197,0.00020933036,0.0006531602,0.00024438338,0.00020569013,0.0000069657267,0.000111776935,0.00008506355,0.00024692467],"category_scores_gemma":[0.001709712,0.00015425374,0.0001338528,0.00087542273,0.00031164664,0.000096200616,0.000107346284,0.0003191687,6.200676e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036235724,0.00023371079,0.90259624,0.00016743921,0.00084998965,0.000004331209,0.0006307949,0.000018935798,0.00238317,0.0004493401,0.0003870428,0.08865544],"study_design_scores_gemma":[0.009148607,0.0007698299,0.96574134,0.00016266393,0.0010605421,0.000007617647,0.00025691892,0.00008090224,0.00046634104,0.020900892,0.0012575424,0.00014681976],"about_ca_topic_score_codex":0.011230392,"about_ca_topic_score_gemma":0.0021007366,"teacher_disagreement_score":0.08850862,"about_ca_system_score_codex":0.000340743,"about_ca_system_score_gemma":0.00014498549,"threshold_uncertainty_score":0.99535394},"labels":[],"label_agreement":null},{"id":"W4224267833","doi":"10.1158/1055-9965.epi-22-0007","title":"Methylation Subtypes of Primary Prostate Cancer Predict Poor Prognosis","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","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":true,"ca_institutions":"University of Toronto","funders":"Canadian Cancer Society Research Institute; National Institutes of Health; Prostate Cancer Canada; National Cancer Institute; Fred Hutchinson Cancer Research Center","keywords":"Prostate cancer; DNA methylation; Methylation; Cancer; Prostate","score_opus":0.033605679190770496,"score_gpt":0.32984601944435393,"score_spread":0.2962403402535834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224267833","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":[0.92141896,0.07181661,0.003094058,0.001420661,0.0008590119,0.0009046531,0.00018907104,0.0000270532,0.00026988814],"genre_scores_gemma":[0.98810166,0.0067473603,0.0015368438,0.00022847281,0.00019204871,0.0012281308,0.0010873439,0.000034555258,0.0008435533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972467,0.0010549909,0.00065952766,0.00055260735,0.00016415867,0.0003220396],"domain_scores_gemma":[0.99878526,0.00009244813,0.00065365137,0.00025549205,0.00013843105,0.00007471572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020574122,0.00019254809,0.00035700193,0.00011740857,0.00018334886,0.000004069368,0.00020063992,0.00016568735,0.00018402043],"category_scores_gemma":[0.0001910564,0.00019835598,0.00020999831,0.00022179261,0.00014617034,0.000010449003,0.00019412732,0.00013541013,0.0000011924337],"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":[0.00057587336,0.00012083933,0.48786125,0.000095955606,0.00043888384,4.7926767e-7,0.00005654078,0.0023327277,0.43402416,0.000060245697,0.002907406,0.07152566],"study_design_scores_gemma":[0.0021558048,0.0016939158,0.5799472,0.00011311139,0.00044363117,0.0000036471877,0.00014663734,0.0015382947,0.33676133,0.0065228203,0.06998393,0.0006897187],"about_ca_topic_score_codex":0.0002952274,"about_ca_topic_score_gemma":0.00012066992,"teacher_disagreement_score":0.09726283,"about_ca_system_score_codex":0.00013467504,"about_ca_system_score_gemma":0.0002738837,"threshold_uncertainty_score":0.8088722},"labels":[],"label_agreement":null},{"id":"W4225006865","doi":"10.1158/1055-9965.epi-21-1196","title":"Bilateral Oophorectomy and the Risk of Breast Cancer in <i>BRCA1</i> Mutation Carriers: A Reappraisal","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Juravinski Cancer Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; BC Cancer Agency; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Women's College Hospital","keywords":"Oophorectomy; Medicine; Breast cancer; Odds ratio; Ovarian cancer; Confidence interval; Gynecology; Cancer; Internal medicine; Case-control study; Oncology; Obstetrics; Cancer registry; Relative risk; Surgery; Hysterectomy","score_opus":0.014601999295457262,"score_gpt":0.3221680010417784,"score_spread":0.30756600174632115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225006865","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":[0.9686548,0.025108472,0.00065367925,0.003531141,0.0008571119,0.0006440006,0.00044018912,0.000011313839,0.00009928],"genre_scores_gemma":[0.99369526,0.0037584929,0.0004361228,0.00035688916,0.00014352561,0.0013192267,0.00014235286,0.000023018722,0.00012511286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965759,0.001971514,0.0005620025,0.000504835,0.00010623531,0.00027953877],"domain_scores_gemma":[0.9988322,0.0002177479,0.0005185575,0.00030841792,0.00007511699,0.000047927144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00256479,0.00017541766,0.00033483582,0.000108240776,0.0001838439,0.000005053122,0.00020596571,0.00013486578,0.00014823132],"category_scores_gemma":[0.0002331329,0.00014596392,0.00015503967,0.0002817231,0.0005363388,0.000010254876,0.00018375934,0.00021662124,4.3054797e-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":[0.0059892302,0.000117771284,0.85920876,0.00008784185,0.0017279147,0.0000044958147,0.0011080077,0.017282968,0.028634906,0.000535957,0.009351996,0.07595013],"study_design_scores_gemma":[0.010711587,0.00040576843,0.95276904,0.000114194365,0.0005277603,0.00017255297,0.0013700621,0.005629263,0.0055435533,0.0075533804,0.014582621,0.00062024407],"about_ca_topic_score_codex":0.002540267,"about_ca_topic_score_gemma":0.0015473672,"teacher_disagreement_score":0.09356023,"about_ca_system_score_codex":0.00014495377,"about_ca_system_score_gemma":0.0003233907,"threshold_uncertainty_score":0.5952236},"labels":[],"label_agreement":null},{"id":"W4226041390","doi":"10.1158/1055-9965.epi-21-0600","title":"The Movember Global Action Plan 1 (GAP1): Unique Prostate Cancer Tissue Microarray Resource","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Sidney Kimmel Comprehensive Cancer Center; National Cancer Institute; National Institutes of Health; DOD Prostate Cancer Research Program; Institute for Prostate Cancer Research; Movember Foundation; Johns Hopkins University; U.S. Department of Defense","keywords":"Prostate cancer; Prostatectomy; Medicine; Tissue microarray; Prostate; Oncology; Metastasis; Biomarker; Disease; Cancer; Cancer research; Internal medicine; Biology","score_opus":0.07455425562777064,"score_gpt":0.42084376648921,"score_spread":0.3462895108614394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226041390","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":[0.706957,0.14806351,0.00050436537,0.12967639,0.003910954,0.0059701046,0.00069464854,0.00039286484,0.003830204],"genre_scores_gemma":[0.8139601,0.039993577,0.0010836996,0.0068569076,0.0015073522,0.014472372,0.0025211652,0.0001826667,0.1194222],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605894,0.0015743016,0.00059406925,0.0006774606,0.00028740865,0.00080781354],"domain_scores_gemma":[0.9984556,0.00036089047,0.00037747232,0.00047630814,0.000108870394,0.00022085235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023264592,0.0002846635,0.00046734585,0.00008807443,0.0010065373,0.000017977762,0.0002497834,0.0001652643,0.0007644245],"category_scores_gemma":[0.0001399108,0.0002056058,0.00021273179,0.00048573868,0.0003957709,0.00009861289,0.00019946796,0.0005090197,0.00001829081],"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":[0.011691768,0.00026719485,0.3750895,0.00018766952,0.0019941053,0.00006519909,0.00032231119,0.0003030115,0.013434366,0.00046226115,0.30845815,0.28772447],"study_design_scores_gemma":[0.0032045934,0.00087155966,0.13479744,0.00018391822,0.00032912294,0.00010501981,0.00081659417,0.00025560491,0.0027808836,0.0045071207,0.85181683,0.00033131006],"about_ca_topic_score_codex":0.001824347,"about_ca_topic_score_gemma":0.000976148,"teacher_disagreement_score":0.5433587,"about_ca_system_score_codex":0.0022738345,"about_ca_system_score_gemma":0.00068396726,"threshold_uncertainty_score":0.8384361},"labels":[],"label_agreement":null},{"id":"W4226324224","doi":"10.1158/1055-9965.epi-22-0099","title":"Biomarker-Based Lung Cancer Screening Eligibility: Implementation Considerations","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Diagnosis and Treatment","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":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Lung cancer; Lung cancer screening; Biomarker; Implementation; Cancer; Risk assessment","score_opus":0.10313789372983247,"score_gpt":0.47420420593495627,"score_spread":0.3710663122051238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226324224","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":[0.71693313,0.0754407,0.017543223,0.17738666,0.0037788395,0.006937623,0.0009270108,0.0005346313,0.00051816495],"genre_scores_gemma":[0.9796081,0.00077610504,0.004951738,0.0057287537,0.00016969314,0.007403252,0.0010495645,0.000045795812,0.00026697115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964492,0.0010454663,0.0008733857,0.00082578935,0.00026159114,0.000544571],"domain_scores_gemma":[0.9981281,0.00056833343,0.0005043492,0.0004593571,0.00014043726,0.00019941005],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018646512,0.00029183098,0.00061059475,0.00025973524,0.0006802365,0.00001406696,0.00009160996,0.000109856934,0.0078009437],"category_scores_gemma":[0.00015712387,0.00028687966,0.00038616982,0.00036176547,0.00014840346,0.00012317789,0.00009673554,0.00023499153,0.0000046146747],"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":[0.00045751265,0.0002755089,0.8628742,0.00013229721,0.0015872496,0.00001700266,0.000070965616,0.0007996393,0.0005115341,0.00037313005,0.094299264,0.03860171],"study_design_scores_gemma":[0.00833238,0.0006584329,0.94664955,0.00038482415,0.0023867523,0.00004035841,0.0004130732,0.012797901,0.0014319272,0.0032602306,0.023113709,0.0005308674],"about_ca_topic_score_codex":0.0030334706,"about_ca_topic_score_gemma":0.0013227985,"teacher_disagreement_score":0.26267496,"about_ca_system_score_codex":0.0019861173,"about_ca_system_score_gemma":0.0008512578,"threshold_uncertainty_score":0.99995834},"labels":[],"label_agreement":null},{"id":"W4229004111","doi":"10.1158/1055-9965.epi-21-1186","title":"Impact of Exercise on Susceptibility and Severity of COVID-19 in Patients with Cancer: A Retrospective Study","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","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 Cancer Institute; Memorial Sloan-Kettering Cancer Center","keywords":"Medicine; Internal medicine; Confidence interval; Logistic regression; Cancer; Coronavirus disease 2019 (COVID-19); Retrospective cohort study; Cohort; Physical therapy; Disease; Infectious disease (medical specialty)","score_opus":0.05748376994834436,"score_gpt":0.4213604501802961,"score_spread":0.36387668023195174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229004111","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":[0.99731416,0.00035441798,0.00002044123,0.00048074906,0.000059275346,0.0015806146,0.00016521495,0.000011267373,0.000013856676],"genre_scores_gemma":[0.99943894,0.0001370446,0.000039629344,0.00007867555,0.000011269559,0.00023621735,0.000036102876,0.000008039176,0.0000141092205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978116,0.000960287,0.00042756935,0.00041963827,0.00016287643,0.00021800115],"domain_scores_gemma":[0.9988486,0.00023996315,0.000445842,0.00024299808,0.000073828654,0.00014874422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015217039,0.00013396512,0.00085926685,0.00012871703,0.00007776157,5.566169e-7,0.00005900435,0.000058969537,0.00017997655],"category_scores_gemma":[0.00032543167,0.000106423715,0.00011015501,0.00032005634,0.00021142316,0.000059394824,0.00006628301,0.00026831587,1.2586327e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014045094,0.0044181417,0.97677714,0.00022319517,0.00027022726,0.000001229398,0.0005485501,0.00010241024,0.000050847422,0.000015115715,0.00022928421,0.0033187445],"study_design_scores_gemma":[0.004446856,0.009386548,0.98394287,0.00013655504,0.00012645041,3.7663696e-7,0.00017748642,0.000070723545,0.000010040424,0.0016167164,0.0000046616838,0.00008071965],"about_ca_topic_score_codex":0.015721066,"about_ca_topic_score_gemma":0.0020142186,"teacher_disagreement_score":0.013706847,"about_ca_system_score_codex":0.0016934813,"about_ca_system_score_gemma":0.00060264027,"threshold_uncertainty_score":0.99083334},"labels":[],"label_agreement":null},{"id":"W4242135703","doi":"10.1158/1055-9965.epi-06-1036","title":"Antibiotics and Breast Cancer","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acne and Rosacea Treatments and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Antibiotics; Breast cancer; Cancer; Medicine; Intensive care medicine; Oncology; Internal medicine; Microbiology; Biology","score_opus":0.040993804814599376,"score_gpt":0.40059577206889074,"score_spread":0.3596019672542914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242135703","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":[0.9615912,0.02370033,0.0033141607,0.009317781,0.00082677096,0.00052546064,0.000026925278,0.0000721427,0.00062522484],"genre_scores_gemma":[0.98963976,0.005608326,0.0015575835,0.0014377576,0.00035198324,0.0000050841318,0.000048977483,0.00001829528,0.0013322404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880105,0.00010553711,0.00032263616,0.00033094728,0.000058791913,0.0003810289],"domain_scores_gemma":[0.99927664,0.00017951554,0.00014832156,0.00015609381,0.000050895807,0.00018855416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010408973,0.00016351131,0.0003889194,0.00008772409,0.000112589194,0.0000032418077,0.00003395767,0.00021500955,0.00017815274],"category_scores_gemma":[0.000054585595,0.00011928686,0.0001124351,0.00011732101,0.00017485056,0.00006409481,0.000029820361,0.000112141315,0.000009346493],"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":[0.00046203437,0.00008086687,0.8282067,0.000085364314,0.0004994871,0.000020430924,0.0000294876,0.0000011987063,0.0017712637,0.00013927495,0.0057614204,0.16294244],"study_design_scores_gemma":[0.0014364226,0.00016993098,0.9920582,0.00030914875,0.00039750477,0.000121380865,0.000043573753,0.0001449366,0.00084533443,0.0005933533,0.0037479112,0.00013230737],"about_ca_topic_score_codex":0.00041082804,"about_ca_topic_score_gemma":0.0001665289,"teacher_disagreement_score":0.16385145,"about_ca_system_score_codex":0.00011845102,"about_ca_system_score_gemma":0.00005782028,"threshold_uncertainty_score":0.48643768},"labels":[],"label_agreement":null},{"id":"W4248349905","doi":"10.1158/1538-7755.asgcr21-43","title":"Abstract 43: Global Burden of Cancer in 2020 Attributable to Alcohol Consumption: A Population-Based Study","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Attributable risk; Population; Medicine; Alcohol consumption; Demography; Alcohol; Environmental health; Cancer; Breast cancer; Consumption (sociology); Internal medicine; Biology","score_opus":0.04446530639661517,"score_gpt":0.38961459798049114,"score_spread":0.345149291583876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248349905","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":[0.9652486,0.026887558,0.0007387345,0.0014394553,0.0045187217,0.0007635874,0.00033481506,0.000015296224,0.000053248266],"genre_scores_gemma":[0.99372643,0.0014202851,0.0006823314,0.0004341409,0.0023997365,0.00046026133,0.0005797488,0.000019854726,0.00027723282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740154,0.00053761835,0.00079408375,0.0007263639,0.00012679756,0.00041360437],"domain_scores_gemma":[0.99881554,0.00007980491,0.00033540462,0.00043050843,0.00019557949,0.00014317641],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010372279,0.0002341916,0.00059459184,0.000064769316,0.000061507606,0.0000075462085,0.00017978672,0.00026584824,0.00046256598],"category_scores_gemma":[0.00043368145,0.00025136667,0.0002098293,0.0003246251,0.000059998038,0.000010813199,0.00009101346,0.00010315614,0.000007287627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046390048,0.0001797048,0.9413225,0.00007511816,0.00031528118,8.105712e-7,0.000026485892,0.005840521,0.030772794,0.000021085629,0.009663817,0.011317993],"study_design_scores_gemma":[0.0020393662,0.000117266456,0.973844,0.0001605509,0.00012495472,0.0000021081491,0.00010068582,0.000100042664,0.001597351,0.00019436824,0.021463057,0.00025626464],"about_ca_topic_score_codex":0.0063505997,"about_ca_topic_score_gemma":0.020561462,"teacher_disagreement_score":0.032521494,"about_ca_system_score_codex":0.00021354451,"about_ca_system_score_gemma":0.0005015475,"threshold_uncertainty_score":0.99999386},"labels":[],"label_agreement":null},{"id":"W4249020907","doi":"10.1158/1055-9965.epi-16-0088","title":"Hormone Contraception before the First Birth and Ovarian Cancer Risk","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Odds ratio; Tubal ligation; Gynecology; Obstetrics; Confidence interval; Population; Breastfeeding; Logistic regression; Relative risk; Family planning; Case-control study; Ovarian cancer; Demography; Cancer; Internal medicine; Pediatrics; Environmental health","score_opus":0.02926714764803065,"score_gpt":0.3301631332938892,"score_spread":0.3008959856458585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249020907","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":[0.65276426,0.08718797,0.0040735463,0.25210708,0.0012572805,0.0020191157,0.00023064353,0.00013730243,0.00022281746],"genre_scores_gemma":[0.9505298,0.044825394,0.000476134,0.0014082532,0.00055438187,0.0011681783,0.000024098625,0.000030107116,0.000983654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980432,0.0003581572,0.0004982155,0.00056877814,0.000107146436,0.0004245005],"domain_scores_gemma":[0.99850863,0.00042624655,0.0004223373,0.00039461718,0.000084967076,0.00016317835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012407927,0.00025079155,0.0005011724,0.000080182566,0.00027182192,0.000008809871,0.00008749814,0.00022282128,0.0004993421],"category_scores_gemma":[0.0002509759,0.00012916888,0.00019855352,0.00014237515,0.0003830977,0.0001237704,0.000046581812,0.00014084316,0.000025049723],"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":[0.00039531765,0.000068478155,0.68680996,0.000027242015,0.0008663225,0.0000036417512,0.00007873736,0.0000015442639,0.00015957821,0.00051636336,0.012376003,0.29869682],"study_design_scores_gemma":[0.0039159656,0.0004253846,0.93537474,0.00043352772,0.00070341036,0.00001806526,0.000033196546,0.00008268102,0.0000952297,0.0048251795,0.053961337,0.00013129543],"about_ca_topic_score_codex":0.001801038,"about_ca_topic_score_gemma":0.004024803,"teacher_disagreement_score":0.2985655,"about_ca_system_score_codex":0.0004327492,"about_ca_system_score_gemma":0.000116068884,"threshold_uncertainty_score":0.5467446},"labels":[],"label_agreement":null},{"id":"W4249313014","doi":"10.1158/1055-9965.epi-07-0391","title":"Counterpoint: Sunscreen Use Is a Safe and Effective Approach to Skin Cancer Prevention","year":2007,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Skin Protection and Aging","field":"Medicine","cited_by":19,"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":"Sunburn; Skin cancer; Dermatology; Basal cell carcinoma; Medicine; Basal cell; Melanoma; Cancer; Pathology; Internal medicine; Cancer research","score_opus":0.0746283600488629,"score_gpt":0.39251164134529165,"score_spread":0.31788328129642873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249313014","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023699842,0.02413844,0.13748334,0.7894369,0.004460633,0.016787462,0.00034348216,0.0005116343,0.0031382754],"genre_scores_gemma":[0.006056552,0.003513735,0.013237165,0.9400168,0.006004616,0.005620328,0.0014112273,0.00026143965,0.023878107],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946751,0.0013462016,0.0011059565,0.0016101804,0.000325174,0.00093737134],"domain_scores_gemma":[0.9972692,0.000778889,0.00080145156,0.000605078,0.00026227007,0.00028308062],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0029011008,0.0007086545,0.0014881052,0.00075948687,0.00020446558,0.000035140463,0.00018095672,0.0017484534,0.000557484],"category_scores_gemma":[0.00058220903,0.00065491896,0.0005672177,0.0004829561,0.0003046389,0.00022817958,0.00013861437,0.0016843226,0.000035929068],"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":[0.0009946168,0.00009377713,0.02560884,0.0008806201,0.0019391151,0.000031242285,0.0002186909,0.0000057608077,0.00015164366,0.000016783684,0.9024808,0.06757815],"study_design_scores_gemma":[0.0029690189,0.00062982517,0.1388735,0.004868895,0.0017207214,0.00022806357,0.00009522462,0.0005565351,0.00036507152,0.0011838682,0.8475292,0.0009801057],"about_ca_topic_score_codex":0.0024670826,"about_ca_topic_score_gemma":0.00014843048,"teacher_disagreement_score":0.15057994,"about_ca_system_score_codex":0.0010659965,"about_ca_system_score_gemma":0.00023116468,"threshold_uncertainty_score":0.9995902},"labels":[],"label_agreement":null},{"id":"W4250965155","doi":"10.1158/1538-7755.carisk16-b17","title":"Abstract B17: Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","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":"Memorial University of Newfoundland","funders":"","keywords":"Cancer; Colorectal cancer; Citation; Intervention (counseling); Medicine; Gerontology; White (mutation); Library science; Oncology; Internal medicine; Computer science; Biology; Psychiatry; Genetics","score_opus":0.05363729525855996,"score_gpt":0.4097620313023526,"score_spread":0.35612473604379263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250965155","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":[0.9631658,0.005251902,0.015951935,0.0133024035,0.0011500752,0.00077737804,0.00004810724,0.00008906674,0.00026328626],"genre_scores_gemma":[0.98770124,0.0032224748,0.0068821106,0.000833891,0.000449185,0.00026189812,0.00012490913,0.000031412656,0.0004928784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980849,0.00023619607,0.0006241175,0.0005036626,0.00015754082,0.00039357747],"domain_scores_gemma":[0.9982071,0.00028612727,0.0007621017,0.0002806036,0.00014936274,0.00031472865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017794393,0.00022987703,0.0005696231,0.00016262787,0.000665796,0.000040091476,0.00015040433,0.000216806,0.00027744746],"category_scores_gemma":[0.0019106956,0.00020721175,0.00024784476,0.00007633389,0.00044189318,0.00025744224,0.00012655697,0.00048701424,0.0000090025],"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":[0.0008854474,0.000036269394,0.64171916,0.00013102581,0.00059281144,0.0000056063436,0.00013601486,0.00004959468,0.002424208,0.00007675124,0.0038232356,0.35011983],"study_design_scores_gemma":[0.0029045513,0.0002970716,0.9681359,0.0011710712,0.00035252052,0.0000276845,0.00012372066,0.011456296,0.00012266352,0.00058400107,0.014651837,0.00017268103],"about_ca_topic_score_codex":0.0023778817,"about_ca_topic_score_gemma":0.00022902929,"teacher_disagreement_score":0.34994715,"about_ca_system_score_codex":0.00019295778,"about_ca_system_score_gemma":0.000070123926,"threshold_uncertainty_score":0.84498495},"labels":[],"label_agreement":null},{"id":"W4251530226","doi":"10.1158/1538-7755.asgcr21-111","title":"Abstract 111: Colorectal Cancer Presentation and Survival Outcomes in Nigeria: A Prospective Multi-Centre Cohort Study of 543 Patients","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Dalhousie University","funders":"","keywords":"Medicine; Prospective cohort study; Proportional hazards model; Internal medicine; Colorectal cancer; Logistic regression; Referral; Stage (stratigraphy); Univariate analysis; Cancer; Cohort; Multivariate analysis; Family medicine","score_opus":0.03803326938815051,"score_gpt":0.37051433119941785,"score_spread":0.33248106181126735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251530226","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":[0.99510556,0.0015747912,0.00010320392,0.00035161473,0.0008767658,0.0018472911,0.000030971576,0.000040325333,0.000069499096],"genre_scores_gemma":[0.99843246,0.00037228005,0.00027131732,0.000039609804,0.000056457025,0.00053520413,0.00007786019,0.000020302487,0.00019448959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751467,0.0005952128,0.00074209785,0.0006537482,0.00019517404,0.00029909512],"domain_scores_gemma":[0.99862266,0.00034780934,0.0004317018,0.00017725876,0.00031777532,0.000102780425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008681732,0.00022049526,0.0008453549,0.00016008035,0.000070180504,0.0000062009317,0.00005002704,0.00019475943,0.00010447937],"category_scores_gemma":[0.0007512297,0.00020570372,0.00012803801,0.00033341226,0.000112712296,0.00012954905,0.00006273391,0.0002262646,0.0000012113521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038123424,0.0012265258,0.98440254,0.00009656645,0.00076221017,0.00000913608,0.0006480032,0.000038030947,0.00085311447,0.0000022762868,0.0000851639,0.008064118],"study_design_scores_gemma":[0.0068482175,0.00097441376,0.9891139,0.00020582632,0.00021959828,0.000002525529,0.0011513189,0.00028823345,0.0009424644,0.000082469145,0.00001018552,0.0001608483],"about_ca_topic_score_codex":0.0043603205,"about_ca_topic_score_gemma":0.03884334,"teacher_disagreement_score":0.03448302,"about_ca_system_score_codex":0.00043769364,"about_ca_system_score_gemma":0.00019309531,"threshold_uncertainty_score":0.9786953},"labels":[],"label_agreement":null},{"id":"W4281675036","doi":"10.1158/1055-9965.epi-22-0102","title":"Cancer Screening Companies Are Rapidly Proliferating: Are They Ready for Business?","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","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 Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Cancer; Medicine; Population; Oncology; Internal medicine; Circulating tumor cell; Cancer screening; Intensive care medicine; Metastasis; Environmental health","score_opus":0.07165119667602651,"score_gpt":0.3552244727016836,"score_spread":0.2835732760256571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281675036","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":[0.849041,0.08554637,0.03946391,0.016079064,0.004261513,0.002983906,0.002338251,0.000109148954,0.00017687277],"genre_scores_gemma":[0.9807839,0.00408876,0.0038439122,0.0027678248,0.0013272249,0.004469382,0.0017373362,0.000084232764,0.0008974495],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.997597,0.00044609062,0.0005801644,0.00074879173,0.00010609187,0.00052190834],"domain_scores_gemma":[0.9981899,0.00022216969,0.0008204843,0.00040538912,0.00025521312,0.00010680004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012303116,0.0002852544,0.00048874185,0.000086487395,0.00056226534,0.000018609606,0.00031188538,0.00018094425,0.000090012494],"category_scores_gemma":[0.00061644305,0.0002999254,0.00022624653,0.00014076255,0.00012352158,0.000009396131,0.00027332254,0.00016152176,0.0000013795794],"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":[0.0035700044,0.00035538405,0.58545005,0.00036107772,0.0021233612,0.000006794871,0.00021407605,0.05717386,0.05109475,0.00081578037,0.26135525,0.037479583],"study_design_scores_gemma":[0.0056279143,0.0010739749,0.35667226,0.00042040422,0.000644575,0.000039585037,0.0017869226,0.0051794383,0.005619996,0.00644656,0.61480093,0.0016874712],"about_ca_topic_score_codex":0.0005611424,"about_ca_topic_score_gemma":0.002067894,"teacher_disagreement_score":0.35344568,"about_ca_system_score_codex":0.00015792942,"about_ca_system_score_gemma":0.00026291935,"threshold_uncertainty_score":0.9999453},"labels":[],"label_agreement":null},{"id":"W4282821478","doi":"10.1158/1055-9965.epi-22-0123","title":"Association Study between Polymorphisms in DNA Methylation–Related Genes and Testicular Germ Cell Tumor Risk","year":2022,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"University of Texas MD Anderson Cancer Center; Universität Ulm; National Cancer Institute; Università degli Studi di Torino; Karolinska Institutet; Strategic Research Council; Università degli Studi di Padova; Cancerfonden; National Institutes of Health; Rijksuniversiteit Groningen; Børnecancerfonden; University of Pennsylvania; University of Southern California; Wellcome Trust; Princess Margaret Cancer Foundation; Novo Nordisk; University of Leeds; Cancer Research UK; Regione Piemonte; Yale University","keywords":"DNA methylation; Testicular Germ Cell Tumor; Testicular cancer; Gene; Biology; Methylation; Germ cell; Genetics; Epigenetics; Cancer research; Cancer; Gene expression","score_opus":0.05761878878655382,"score_gpt":0.3717477564242689,"score_spread":0.3141289676377151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282821478","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":[0.06355861,0.93362427,0.00026256757,0.000050075487,0.0005149073,0.001772106,0.00014015568,0.00002300435,0.000054335098],"genre_scores_gemma":[0.0058151116,0.99018294,0.0003798701,0.000019868045,0.00026127073,0.00082008285,0.0019325532,0.00008094108,0.0005073766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898942,0.00648278,0.0017088699,0.0011963446,0.00020343554,0.00051435916],"domain_scores_gemma":[0.99548936,0.001116144,0.0026884458,0.0005086733,0.00006562318,0.00013173121],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0069766915,0.00055256794,0.0016046191,0.00035332202,0.00022387225,0.000018838862,0.00027603348,0.00077007373,0.000118783675],"category_scores_gemma":[0.001643921,0.00054654776,0.00047182982,0.00043677326,0.00008036541,0.000011379583,0.00027211604,0.0005164657,0.00000691679],"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":[0.000020778698,0.00015276083,0.412526,0.00045624762,0.0012261448,0.0000045025317,0.000034863166,0.000043643573,0.00023128811,0.0000025893387,0.00016100964,0.58514017],"study_design_scores_gemma":[0.0018254434,0.0010290738,0.12355753,0.0007523335,0.0053877975,0.0000040235523,0.00007390319,0.000061029266,0.0003058041,0.0018843213,0.8637925,0.0013262483],"about_ca_topic_score_codex":0.00036257788,"about_ca_topic_score_gemma":0.00020196002,"teacher_disagreement_score":0.8636315,"about_ca_system_score_codex":0.00043153687,"about_ca_system_score_gemma":0.00033115444,"threshold_uncertainty_score":0.9996986},"labels":[],"label_agreement":null},{"id":"W4282828649","doi":"10.1158/1055-9965.epi-22-0193","title":"Ecologic Analysis of Correlates of Cervical Cancer Morbidity and Mortality in Sub-Saharan Africa","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":2,"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; McGill University","keywords":"Cervical cancer; Medicine; Cancer; Demography; Geography; Environmental health; Internal medicine; Sociology","score_opus":0.1171990610828621,"score_gpt":0.4237473013627687,"score_spread":0.3065482402799066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282828649","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":[0.95755726,0.040056184,0.000090958754,0.0010140096,0.00019433984,0.0005029243,0.00017366491,0.000014122295,0.00039653154],"genre_scores_gemma":[0.9909075,0.008250255,0.00006611474,0.000119751305,0.000029208468,0.00040454566,0.00013369272,0.000009449674,0.00007950159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970045,0.0010822697,0.00085187,0.0004708888,0.00023057661,0.00035990367],"domain_scores_gemma":[0.9984203,0.0006724666,0.0003665908,0.00028613312,0.00012445205,0.00013008137],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029160357,0.00014758964,0.0011073286,0.00048944633,0.00007005752,0.0000013747984,0.00013861826,0.00015823591,0.0060069687],"category_scores_gemma":[0.00036522528,0.00013435731,0.0003267363,0.0013304902,0.00037932798,0.000044325632,0.00019529149,0.00036096334,6.578502e-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":[0.0010360711,0.00025577427,0.9795497,0.00022796719,0.0019396696,0.0000056778567,0.00007175046,0.00063985836,0.00085917633,0.00007135096,0.0011023431,0.0142406635],"study_design_scores_gemma":[0.0011012848,0.00032985563,0.98694515,0.00002923467,0.0015387405,0.0000016452017,0.000060896637,0.0074353823,0.00019368867,0.0018786639,0.00038152552,0.000103941704],"about_ca_topic_score_codex":0.0054503623,"about_ca_topic_score_gemma":0.0064921924,"teacher_disagreement_score":0.033350218,"about_ca_system_score_codex":0.00038491903,"about_ca_system_score_gemma":0.00024342495,"threshold_uncertainty_score":0.99490166},"labels":[],"label_agreement":null},{"id":"W4282838554","doi":"10.1158/1055-9965.epi-22-0043","title":"Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma?","year":2022,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control","funders":"National Cancer Institute","keywords":"Multiple myeloma; Medicine; Internal medicine; Oncology","score_opus":0.08076212401473437,"score_gpt":0.37985687382812044,"score_spread":0.2990947498133861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282838554","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":[0.012440234,0.9778089,0.00012740072,0.000079635516,0.001196641,0.0056514596,0.0024760459,0.00011632409,0.000103389306],"genre_scores_gemma":[0.0026787373,0.9861551,0.0011021395,0.000034238834,0.0002516865,0.0022890351,0.0064645726,0.00015855841,0.0008659615],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9909605,0.0038517106,0.0019372978,0.0014582598,0.0006957964,0.0010964809],"domain_scores_gemma":[0.99270004,0.002957047,0.0024479935,0.0011783511,0.00020841676,0.00050814485],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021065874,0.0009425435,0.004182932,0.00062579213,0.00027032607,0.000009142273,0.0004657392,0.0006555898,0.0018460704],"category_scores_gemma":[0.0024565752,0.0005370175,0.0015467335,0.0005872565,0.00051459006,0.00014470023,0.00033412388,0.0009803066,0.000023136517],"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":[0.0019398392,0.0004224658,0.46823856,0.0056403913,0.006014415,0.000022489497,0.000014114988,0.0000011718015,2.9983707e-7,0.0000059596036,0.00059915765,0.5171011],"study_design_scores_gemma":[0.008335495,0.0019111942,0.61227846,0.010227195,0.0066578374,0.000014109098,0.000020873147,0.00005958221,0.0000023935183,0.00022050455,0.35961774,0.0006546325],"about_ca_topic_score_codex":0.0010383776,"about_ca_topic_score_gemma":0.0005832736,"teacher_disagreement_score":0.5164465,"about_ca_system_score_codex":0.0011154342,"about_ca_system_score_gemma":0.0013033637,"threshold_uncertainty_score":0.9997081},"labels":[],"label_agreement":null},{"id":"W4282930103","doi":"10.1158/1055-9965.epi-21-1397","title":"Breast Cancer Risk in Women from Ghana Carrying Rare Germline Pathogenic Mutations","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; National Institutes of Health; European Commission; Wellcome Trust","keywords":"PALB2; CHEK2; Breast cancer; Oncology; Germline mutation; Estrogen receptor; Medicine; Internal medicine; Confidence interval; Germline; Relative risk; Cancer; Gynecology; Genetics; Biology; Gene; Mutation","score_opus":0.02135615414747093,"score_gpt":0.3227504963506019,"score_spread":0.30139434220313094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282930103","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":[0.9605286,0.031330667,0.0017032066,0.0020646015,0.0013051897,0.00051622913,0.0024761416,0.000033904616,0.00004146103],"genre_scores_gemma":[0.9884908,0.0030139077,0.001322051,0.00082906144,0.0004574913,0.0039740666,0.0015269632,0.000054199547,0.00033144292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99601,0.0016156164,0.0007234631,0.0009122286,0.0001414303,0.0005972729],"domain_scores_gemma":[0.99859005,0.00015362742,0.000530457,0.00051132974,0.000090375725,0.00012413543],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015569736,0.00027130998,0.00039702197,0.000182915,0.00036224409,0.00000897164,0.0003553884,0.00021843895,0.0013628341],"category_scores_gemma":[0.00017709419,0.0003120149,0.00021622519,0.00041123116,0.0001707229,0.000015213153,0.0002789759,0.00033642258,0.0000065641902],"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":[0.0014773805,0.0002412054,0.6612378,0.0000428892,0.0016790448,0.00001441338,0.0011296101,0.02976136,0.06261976,0.000034210963,0.016016597,0.22574572],"study_design_scores_gemma":[0.0044592055,0.00030886274,0.9465027,0.00013253841,0.00036146457,0.00006515599,0.0035305647,0.00338974,0.0025945702,0.008886167,0.028579842,0.0011892112],"about_ca_topic_score_codex":0.0028835398,"about_ca_topic_score_gemma":0.0027031521,"teacher_disagreement_score":0.28526488,"about_ca_system_score_codex":0.0013271726,"about_ca_system_score_gemma":0.0007021426,"threshold_uncertainty_score":0.9999332},"labels":[],"label_agreement":null},{"id":"W4283021340","doi":"10.1158/1055-9965.epi-22-0096","title":"eQTL Set–Based Association Analysis Identifies Novel Susceptibility Loci for Barrett Esophagus and Esophageal Adenocarcinoma","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":8,"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; Ontario Institute for Cancer Research","funders":"National Institutes of Health; Cancer Research UK; National Cancer Institute; National Institute for Health and Care Research; Fred Hutchinson Cancer Research Center","keywords":"Expression quantitative trait loci; Barrett's esophagus; Single-nucleotide polymorphism; Genetic association; SNP; Biology; Genome-wide association study; Esophageal adenocarcinoma; Genotype; Genetics; Computational biology; Adenocarcinoma; Gene; Cancer","score_opus":0.06883062287150961,"score_gpt":0.3925709942231921,"score_spread":0.3237403713516825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283021340","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":[0.5884695,0.3634375,0.02256503,0.01754175,0.00095001666,0.0049986364,0.0017624702,0.0002404535,0.00003462929],"genre_scores_gemma":[0.99134755,0.00017891225,0.0019675144,0.00078322104,0.00017207186,0.002068311,0.0020318718,0.000030181993,0.0014203783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625134,0.00094975263,0.00074982335,0.0009588815,0.0003854616,0.0007047272],"domain_scores_gemma":[0.997303,0.0011856437,0.00054686266,0.00044639834,0.00022215332,0.0002959413],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0046294243,0.00028932095,0.0009122057,0.00043238822,0.00054081646,0.000019208523,0.0001541811,0.0001961221,0.0008420592],"category_scores_gemma":[0.00097240665,0.00028504324,0.00066437846,0.000716209,0.00017828343,0.00012644623,0.00013205335,0.00032678162,0.000004242792],"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":[0.0016881695,0.00024503618,0.9841481,0.00018598692,0.0043073525,0.000016133172,0.00008010633,0.00027135122,0.00014211789,0.0000975383,0.0059202397,0.0028979103],"study_design_scores_gemma":[0.004520919,0.0010315592,0.9806395,0.000023313203,0.003185711,0.000007892536,0.00013937659,0.0076862876,0.00060497154,0.0017943816,0.00016704989,0.0001990381],"about_ca_topic_score_codex":0.0009466376,"about_ca_topic_score_gemma":0.0007739147,"teacher_disagreement_score":0.40287802,"about_ca_system_score_codex":0.0023352772,"about_ca_system_score_gemma":0.00041812047,"threshold_uncertainty_score":0.9999602},"labels":[],"label_agreement":null},{"id":"W4283742900","doi":"10.1158/1055-9965.epi-21-1440","title":"Epidemiology of Thyroid Cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":237,"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":"National Cancer Institute; National Institutes of Health","keywords":"Epidemiology; Thyroid cancer; Medicine; Thyroid; Epidemiology of cancer; Cancer; Internal medicine; Breast cancer","score_opus":0.08902879204276708,"score_gpt":0.40873180051604896,"score_spread":0.31970300847328187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283742900","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":[0.5780789,0.3785912,0.0009064861,0.036664173,0.0028359175,0.0017450168,0.00029047922,0.00014377128,0.0007440251],"genre_scores_gemma":[0.97433776,0.013078157,0.0023292978,0.003948664,0.0003080885,0.0040325876,0.00027790698,0.00004881442,0.0016387418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955704,0.0017029811,0.0011935624,0.00074033614,0.00016068689,0.0006320216],"domain_scores_gemma":[0.99711174,0.0011271398,0.0009147946,0.000539972,0.0001011826,0.00020515319],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002879397,0.0002897961,0.0012910332,0.00022289004,0.00021612491,5.819986e-7,0.00020232274,0.00017180227,0.0030677412],"category_scores_gemma":[0.00047362302,0.00026059526,0.0005676615,0.00035655388,0.00031474023,0.00006289141,0.00018376058,0.00033588862,0.000011778778],"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":[0.0009818649,0.00039802236,0.9276327,0.000113842085,0.0014538186,0.000010001425,0.00006742853,0.00045349644,0.0007953381,0.001916703,0.038368296,0.027808493],"study_design_scores_gemma":[0.0036356817,0.0016579233,0.9519649,0.00024383071,0.0009481044,0.00005563319,0.00016962441,0.00036889798,0.0009022124,0.010490369,0.02925833,0.00030446582],"about_ca_topic_score_codex":0.0020915384,"about_ca_topic_score_gemma":0.00021688009,"teacher_disagreement_score":0.39625883,"about_ca_system_score_codex":0.0009223708,"about_ca_system_score_gemma":0.0004262175,"threshold_uncertainty_score":0.9999846},"labels":[],"label_agreement":null},{"id":"W4283762487","doi":"10.1158/1055-9965.epi-22-0338","title":"5-Alpha Reductase Inhibitor Use and Prostate Cancer Prevention: A Victim of the Times?","year":2022,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","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":"Princess Margaret Cancer Centre","funders":"","keywords":"Prostate cancer; Medicine; Prostate; Cancer; Internal medicine; Oncology; 5 Alpha-Reductase Inhibitor; Gynecology; Finasteride","score_opus":0.05543645403326624,"score_gpt":0.350769243368801,"score_spread":0.29533278933553475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283762487","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09304009,0.104645826,0.000013649808,0.7908896,0.00410461,0.0056090066,0.001475722,0.00009687971,0.00012460527],"genre_scores_gemma":[0.051736616,0.18583408,0.0029105495,0.64141786,0.008943677,0.033549335,0.009958689,0.00072245725,0.06492674],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949232,0.0015998309,0.0012783109,0.0011582843,0.00035673147,0.0006836858],"domain_scores_gemma":[0.9964596,0.0006150259,0.0016323874,0.0009210448,0.00022260672,0.0001493064],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001126467,0.00060701184,0.0014015778,0.00022706114,0.00027161153,0.000018903183,0.00023808256,0.0007062523,0.0018478796],"category_scores_gemma":[0.00036071468,0.00044958343,0.0007107867,0.00040429266,0.0006374373,0.00020639412,0.00032441522,0.0012651734,0.0000042823203],"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":[0.0007167606,0.00018861497,0.123868905,0.00093360606,0.0025781954,0.000059149384,0.00015605678,0.000008694436,0.00017049735,0.000017702998,0.8584233,0.012878516],"study_design_scores_gemma":[0.0037143414,0.0013230768,0.06812762,0.0044019385,0.003937284,0.00011399626,0.00007988792,0.000040824205,0.0011957551,0.0024038309,0.9140518,0.00060966547],"about_ca_topic_score_codex":0.0010782216,"about_ca_topic_score_gemma":0.0001235063,"teacher_disagreement_score":0.14947176,"about_ca_system_score_codex":0.0011206731,"about_ca_system_score_gemma":0.0010211356,"threshold_uncertainty_score":0.9997956},"labels":[],"label_agreement":null},{"id":"W4285592581","doi":"10.1158/1055-9965.epi-22-0132","title":"Hyperemesis Gravidarum and the Potential for Cancer: A Longitudinal Cohort Study over Three Decades","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University; McGill University Health Centre; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Hyperemesis gravidarum; Medicine; Cohort; Obstetrics; Longitudinal study; Cohort study; Pediatrics; Demography; Internal medicine; Vomiting; Pathology; Sociology","score_opus":0.05729602966823631,"score_gpt":0.3965043678511575,"score_spread":0.3392083381829212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285592581","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":[0.9143711,0.04798621,0.0059426087,0.02532377,0.0012841144,0.0048832884,0.00008290445,0.00006648633,0.0000595399],"genre_scores_gemma":[0.98915964,0.0020005098,0.00031714336,0.001197319,0.00024976747,0.006409201,0.000076762626,0.00002231127,0.0005673162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747306,0.00081026816,0.00055715843,0.00055438647,0.00021213811,0.00039297575],"domain_scores_gemma":[0.99845946,0.00058704335,0.00037835812,0.0003621268,0.00007187681,0.00014112999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044232584,0.00019384075,0.00063119375,0.00011395164,0.0005415299,0.0000066671237,0.00016094871,0.000092433365,0.0005020806],"category_scores_gemma":[0.00062556565,0.00013779303,0.00025382292,0.00019059108,0.00039906095,0.0000752339,0.0001264404,0.0002510487,0.0000010663695],"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":[0.0031447858,0.00018198688,0.95247275,0.000059282465,0.0015806964,0.0000039596925,0.00011907216,0.000021565751,0.00011535425,0.00046693705,0.008511334,0.033322267],"study_design_scores_gemma":[0.0071024997,0.0004628167,0.97828,0.000111427085,0.0017242684,0.000046580513,0.0002716429,0.0012011896,0.00001432267,0.0068095736,0.003835167,0.00014052106],"about_ca_topic_score_codex":0.0011987283,"about_ca_topic_score_gemma":0.00057197944,"teacher_disagreement_score":0.07478859,"about_ca_system_score_codex":0.0002495329,"about_ca_system_score_gemma":0.00027783265,"threshold_uncertainty_score":0.56190366},"labels":[],"label_agreement":null},{"id":"W4285592685","doi":"10.1158/1055-9965.epi-21-1033","title":"Circulating Isovalerylcarnitine and Lung Cancer Risk: Evidence from Mendelian Randomization and Prediagnostic Blood Measurements","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","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":"McGill University; Mount Sinai Hospital; University of Victoria; Jewish General Hospital","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; European Commission; King's College London; Canadian Institutes of Health Research; National Institute for Health and Care Research; National Cancer Institute; National Institutes of Health; Cancer Research UK; Wellcome Trust; World Health Organization","keywords":"Mendelian randomization; Medicine; Lung cancer; Internal medicine; Oncology; Cancer; Confounding; Population; Genome-wide association study; Lung cancer susceptibility; Single-nucleotide polymorphism; Biology; Genetics; Genotype; Environmental health","score_opus":0.04276344343292832,"score_gpt":0.33605572479731094,"score_spread":0.2932922813643826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285592685","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":[0.786112,0.2077269,0.0045732097,0.00045244754,0.00045888693,0.0005335744,0.00010489894,0.000013708552,0.0000243792],"genre_scores_gemma":[0.9612515,0.03572093,0.0013294385,0.00025207148,0.00021294331,0.00077395735,0.00033060665,0.000025632266,0.0001029396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99676996,0.001590311,0.00048559767,0.0007108711,0.0001399018,0.00030335403],"domain_scores_gemma":[0.9988538,0.00028090665,0.0004435911,0.00024672566,0.00006914463,0.00010581506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020395445,0.00021204466,0.00034323183,0.00006927652,0.0003425324,0.000012252151,0.00013389949,0.0001233385,0.00020864108],"category_scores_gemma":[0.0014322746,0.00022123293,0.000089164954,0.00011445952,0.00013219318,0.000014529213,0.00021503225,0.00013182199,3.3658372e-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":[0.00046039105,0.00003992914,0.9295279,0.000050467163,0.0008245319,0.0000010069684,0.000106272724,0.001807854,0.039899778,0.0000045037664,0.0015978571,0.02567953],"study_design_scores_gemma":[0.010305025,0.00031512429,0.9662515,0.0003891051,0.002671383,0.000020781805,0.0002998534,0.009054185,0.0059740846,0.002088926,0.0018605402,0.0007695288],"about_ca_topic_score_codex":0.0011931533,"about_ca_topic_score_gemma":0.00037930367,"teacher_disagreement_score":0.17513949,"about_ca_system_score_codex":0.000019430556,"about_ca_system_score_gemma":0.000102015045,"threshold_uncertainty_score":0.90216166},"labels":[],"label_agreement":null},{"id":"W4285655970","doi":"10.1158/1538-7755.modpop19-a13","title":"Abstract A13: Linking cancer and vaccine registries in a retrospective cohort study: Risk of metastasis following perioperative vaccine use among cancer patients","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Stress, Anesthesia, and Immune Response","field":"Medicine","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 Manitoba","funders":"","keywords":"Medicine; Perioperative; Cancer; Cancer registry; Hazard ratio; Metastasis; Vaccination; Internal medicine; Population; Oncology; Cohort; Immunosuppression; Retrospective cohort study; Proportional hazards model; Surgery; Immunology; Environmental health","score_opus":0.03662868159491689,"score_gpt":0.3398828965658029,"score_spread":0.303254214970886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285655970","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":[0.97205466,0.02349477,0.000054197077,0.0014904741,0.00041313632,0.0022909408,0.00013898856,0.000045314617,0.000017487904],"genre_scores_gemma":[0.9789387,0.01938744,0.00019234091,0.00024557198,0.00022069924,0.00075925636,0.00009531615,0.000049663562,0.00011101748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99596924,0.0009909781,0.0013090653,0.0009701986,0.00026281743,0.0004976932],"domain_scores_gemma":[0.9974323,0.0006257055,0.001099807,0.00035070785,0.00028778182,0.00020373325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018937829,0.0004385478,0.0018219687,0.00024384745,0.00017122863,0.00001914216,0.00014279684,0.00025021855,0.00014934636],"category_scores_gemma":[0.002200296,0.00038664136,0.00035156673,0.0005809572,0.00015999231,0.00042540426,0.00009479161,0.00048634224,8.887043e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004973714,0.00026202408,0.97726125,0.00018113037,0.0028587116,0.000020145464,0.0016371377,0.0000852926,0.000536666,0.0000032305081,0.00067495333,0.011505779],"study_design_scores_gemma":[0.0061411173,0.0007981198,0.9880318,0.0012066036,0.0016379263,0.0000018197007,0.00072191743,0.00026099692,0.00036005114,0.000029251356,0.0004982706,0.00031213692],"about_ca_topic_score_codex":0.027882421,"about_ca_topic_score_gemma":0.01076627,"teacher_disagreement_score":0.01711615,"about_ca_system_score_codex":0.00069077243,"about_ca_system_score_gemma":0.00033131777,"threshold_uncertainty_score":0.99985856},"labels":[],"label_agreement":null},{"id":"W4293163145","doi":"10.1158/1055-9965.231.27.3","title":"Highlights of This Issue","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Medicine; Opium; Population; Opioid overdose; Public health; Demography; Gerontology; Opioid; Geography; Pathology; Internal medicine","score_opus":0.07051472797333215,"score_gpt":0.42766318628162436,"score_spread":0.3571484583082922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293163145","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":[0.7346526,0.031939216,0.008063371,0.19316204,0.005948073,0.0023426584,0.000052542495,0.00032175577,0.0235178],"genre_scores_gemma":[0.9712502,0.0047150822,0.010244678,0.004467016,0.0025849692,0.00020872135,0.00024456775,0.000031769996,0.006253005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982571,0.0003997959,0.0006108604,0.0003011057,0.00008753146,0.00034358085],"domain_scores_gemma":[0.9987884,0.00021014635,0.00030797053,0.00027006195,0.00022193356,0.00020148432],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016795862,0.00011748751,0.00045738532,0.00016600754,0.00007122196,0.0000011826974,0.000076273616,0.00025841864,0.002114546],"category_scores_gemma":[0.00060223293,0.00009874773,0.00014194392,0.00022784024,0.0003299947,0.00008932668,0.00002224902,0.00010171475,0.00012531063],"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":[0.0021391641,0.00036901003,0.27992097,0.0007661494,0.00056902657,0.0000051174266,0.00016557741,1.3967912e-7,0.011313363,0.0035245996,0.58653444,0.11469248],"study_design_scores_gemma":[0.002544537,0.0015259252,0.3995322,0.0007872368,0.00022062246,0.000029964209,0.000030131538,0.000248184,0.010267245,0.008853265,0.5757771,0.0001835964],"about_ca_topic_score_codex":0.00037989917,"about_ca_topic_score_gemma":0.0000654863,"teacher_disagreement_score":0.23659764,"about_ca_system_score_codex":0.00012787,"about_ca_system_score_gemma":0.00022116891,"threshold_uncertainty_score":0.99879766},"labels":[],"label_agreement":null},{"id":"W4296782686","doi":"10.1158/1055-9965.epi-22-0630","title":"Tumor Mutational Burden by Whole-Genome Sequencing in Resected NSCLC of Never Smokers","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Treatments and Mutations","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":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fondation Institut Universitaire de Cardiologie et de Pneumologie de Québec","keywords":"Oncology; Whole genome sequencing; Medicine; Internal medicine; Genome; Biology; Genetics; Computational biology; Gene","score_opus":0.04423567181439057,"score_gpt":0.3808961579138593,"score_spread":0.3366604860994687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296782686","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":[0.97393876,0.012577094,0.00075479207,0.009645703,0.000555725,0.0012758343,0.00050423853,0.000057395322,0.0006904764],"genre_scores_gemma":[0.9926682,0.000091429596,0.0012492215,0.0009604336,0.00008110664,0.00085389864,0.0022195536,0.000027427048,0.0018487216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772614,0.0006236528,0.000697344,0.00042962728,0.00018679284,0.0003364336],"domain_scores_gemma":[0.9989243,0.00027637623,0.0003937708,0.00021922,0.0000896303,0.000096703516],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010637102,0.00016343762,0.00046451797,0.00026466785,0.00013451195,0.0000023581722,0.00010830822,0.00007512423,0.00092556316],"category_scores_gemma":[0.00022786157,0.00016250317,0.000161389,0.00046212276,0.00014361396,0.00012974923,0.00006162967,0.00022543539,0.0000050730646],"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":[0.005012818,0.0007909528,0.6054827,0.0006054839,0.0056905653,0.0002616202,0.0036088405,0.017849829,0.26077715,0.0013959756,0.0644461,0.03407797],"study_design_scores_gemma":[0.015737163,0.0018353992,0.90202993,0.0006944857,0.0014428144,0.00021662023,0.004761065,0.004901807,0.0012883038,0.010184997,0.056130633,0.0007768053],"about_ca_topic_score_codex":0.0028786345,"about_ca_topic_score_gemma":0.00012320095,"teacher_disagreement_score":0.29654723,"about_ca_system_score_codex":0.002181212,"about_ca_system_score_gemma":0.0008680527,"threshold_uncertainty_score":0.9999877},"labels":[],"label_agreement":null},{"id":"W4298217363","doi":"10.1158/1055-9965.1991.20.10","title":"Highlights of This Issue","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Fatalism; Cancer; Survivorship curve; Socioeconomic status; Population; Gerontology; Incidence (geometry); Demography; Environmental health; Internal medicine","score_opus":0.11883532159850761,"score_gpt":0.3865719910040056,"score_spread":0.26773666940549795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298217363","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":[0.8837841,0.05032945,0.005392089,0.011122323,0.005810183,0.002084661,0.00006693408,0.00030324064,0.041107018],"genre_scores_gemma":[0.9826647,0.004827475,0.0051904605,0.0007837294,0.00034663812,0.0001156187,0.000060270304,0.000030769545,0.005980356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998488,0.00021414808,0.00059348723,0.00033718054,0.000080873,0.00028627933],"domain_scores_gemma":[0.99895823,0.00011580394,0.00036579082,0.00033390857,0.00009204912,0.0001342033],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007553609,0.00015870189,0.00057420565,0.00013432532,0.000041356805,8.1363305e-7,0.000097470846,0.00022534934,0.0053172074],"category_scores_gemma":[0.00014559476,0.00012744921,0.0002653175,0.00016041045,0.00024028079,0.00007263463,0.00003249168,0.00011979947,0.000061409744],"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":[0.0016544773,0.00028804716,0.7991233,0.00027240004,0.0012257735,0.000011018064,0.0006864992,7.736657e-7,0.0050442447,0.0028049864,0.10727235,0.08161614],"study_design_scores_gemma":[0.0015969872,0.00066716736,0.857238,0.00046309657,0.0005427093,0.000018143814,0.00007445218,0.00006319141,0.012912535,0.0062396843,0.11994703,0.00023703153],"about_ca_topic_score_codex":0.0026327576,"about_ca_topic_score_gemma":0.00017930169,"teacher_disagreement_score":0.09888058,"about_ca_system_score_codex":0.000116319694,"about_ca_system_score_gemma":0.000119621895,"threshold_uncertainty_score":0.99559206},"labels":[],"label_agreement":null},{"id":"W4301225935","doi":"10.1158/1055-9965.1387.19.6","title":"Highlights of This Issue","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glioma; Medicine; Malignancy; Nitrosamine; Carcinogenesis; Astrocytoma; Internal medicine; Carcinogen; Cancer; Oncology; Cancer research; Chemistry; Biochemistry","score_opus":0.020582990525110773,"score_gpt":0.3309498547011399,"score_spread":0.31036686417602916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301225935","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":[0.8981589,0.060146853,0.004090053,0.006075714,0.024443654,0.0009782063,0.00012927827,0.00007320048,0.0059041474],"genre_scores_gemma":[0.9122111,0.028999647,0.016084077,0.0021585857,0.013112992,0.00050146953,0.0009995818,0.00011724117,0.025815258],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826694,0.0002960231,0.00051497674,0.0004968363,0.00007623542,0.00034900036],"domain_scores_gemma":[0.99881375,0.000064555345,0.0003665623,0.00051163696,0.00012340948,0.0001200919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011065892,0.00019903092,0.0003956925,0.00007850776,0.00007185731,0.000003283028,0.00025248833,0.0004440068,0.00070108334],"category_scores_gemma":[0.0003613815,0.00018302967,0.00026684394,0.00010640966,0.00030711637,0.000007974556,0.00008434906,0.00016036577,0.000025316667],"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":[0.00020509798,0.000062232066,0.009290904,0.000039868526,0.00029504218,2.2846808e-7,0.000025650039,0.0000050024623,0.8152797,0.00095875683,0.1369789,0.03685862],"study_design_scores_gemma":[0.0006702745,0.00012274148,0.018684272,0.00002979866,0.00009867976,0.000008151326,0.000011008699,0.00002076212,0.097839005,0.001580777,0.880724,0.00021054652],"about_ca_topic_score_codex":0.00028251656,"about_ca_topic_score_gemma":0.0006809363,"teacher_disagreement_score":0.7437451,"about_ca_system_score_codex":0.000014064266,"about_ca_system_score_gemma":0.00015452852,"threshold_uncertainty_score":0.7676371},"labels":[],"label_agreement":null},{"id":"W4307583711","doi":"10.1158/1055-9965.epi-22-0518","title":"Association of Menopausal Hormone Therapy with Risk of Pancreatic Cancer: A Systematic Review and Meta-analysis of Cohort Studies","year":2022,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Taipei Medical University Hospital; University of Tokyo","keywords":"Medicine; Pancreatic cancer; Subgroup analysis; Meta-analysis; Internal medicine; Relative risk; Oncology; Cochrane Library; Cohort study; Breast cancer; Cancer; Confidence interval; Hormone therapy; Gynecology","score_opus":0.22483283969937812,"score_gpt":0.47682759679315634,"score_spread":0.2519947570937782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307583711","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":[0.00030961976,0.9912394,0.000014017325,0.00031003414,0.000054599794,0.007290756,0.0007578258,0.000012320418,0.000011419637],"genre_scores_gemma":[0.00014354158,0.99344885,0.000264403,0.00012461739,0.000011557259,0.005145206,0.00037456807,0.00003739285,0.00044984423],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9896606,0.0056915656,0.0033488579,0.0005818765,0.00038113454,0.00033595206],"domain_scores_gemma":[0.9841207,0.0032906856,0.0114738885,0.00066035095,0.0003246679,0.0001296835],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.008637844,0.0005309486,0.020054493,0.0004923157,0.00007652564,0.0000014182897,0.00012828145,0.00024938938,0.00034810253],"category_scores_gemma":[0.0017102455,0.00029715113,0.0006322136,0.0011227574,0.00017081972,0.000051070776,0.000050464943,0.00025153946,3.5982546e-7],"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":[0.000115621864,0.00010084717,0.003583975,0.40252483,0.5905613,0.0000012334833,0.000029965895,0.0000011666186,0.000001014034,0.0000035923865,0.000305903,0.0027705894],"study_design_scores_gemma":[0.0008402367,0.0025009133,0.0016789784,0.042768262,0.9501395,0.000006288209,0.000018135564,0.0000031620268,6.4573123e-7,0.000035378296,0.0018410642,0.00016744084],"about_ca_topic_score_codex":0.0016167357,"about_ca_topic_score_gemma":0.00019551557,"teacher_disagreement_score":0.35975656,"about_ca_system_score_codex":0.00083388854,"about_ca_system_score_gemma":0.0005251962,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W4310939526","doi":"10.1158/1055-9965.epi-22-0906","title":"Prospective Cohort of Pre- and Post-Diagnosis Diet with Survival Outcomes: an Alberta Endometrial Cancer Cohort Study","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Alberta; Alberta Cancer Foundation; Alberta Health Services","funders":"National Cancer Institute; Canadian Institutes of Health Research; Alberta Innovates; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Canada Research Chairs; Alberta Cancer Board","keywords":"Medicine; Internal medicine; Proportional hazards model; Glycemic load; Cohort; Endometrial cancer; Prospective cohort study; Cohort study; Obesity; Glycemic index; Cancer; Confidence interval; Glycemic; Insulin","score_opus":0.040199383231073305,"score_gpt":0.37675521584055205,"score_spread":0.33655583260947874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310939526","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":[0.98788023,0.0039748116,0.000028034414,0.0012792045,0.0009440224,0.0053981016,0.00020597012,0.00004553499,0.00024408159],"genre_scores_gemma":[0.9877319,0.0009323368,0.00021782372,0.0003195874,0.00016284929,0.009535389,0.00024566363,0.000043946908,0.0008105498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99565786,0.0015343976,0.000883546,0.0010039049,0.00045860838,0.0004617113],"domain_scores_gemma":[0.9967386,0.0016632598,0.00063125754,0.00047638707,0.00022436181,0.00026613983],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024612434,0.00037049706,0.0016407154,0.00035377726,0.00023891301,0.0000066140346,0.00017647045,0.00012621577,0.001319742],"category_scores_gemma":[0.00095916796,0.0002771858,0.00023663757,0.0008499196,0.0002648367,0.00015362876,0.00017356775,0.00030245245,0.000001344153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021565478,0.0018067007,0.9644683,0.00007138568,0.0066025904,0.000011470567,0.00025710484,0.000029713015,0.00006248923,0.00005017204,0.00013483633,0.004939777],"study_design_scores_gemma":[0.012381872,0.012642622,0.9709042,0.00006896642,0.0026837417,0.000008879833,0.00048718974,0.000019235691,0.00007588,0.00024876857,0.00022427991,0.00025437295],"about_ca_topic_score_codex":0.043645486,"about_ca_topic_score_gemma":0.008661338,"teacher_disagreement_score":0.03498415,"about_ca_system_score_codex":0.0007225926,"about_ca_system_score_gemma":0.00029737293,"threshold_uncertainty_score":0.99996805},"labels":[],"label_agreement":null},{"id":"W4311275318","doi":"10.1158/1055-9965.epi-22-0861","title":"Genetic Predictors for Fecal Propionate and Butyrate-Producing Microbiome Pathway Are Not Associated with Colorectal Cancer Risk: A Mendelian Randomization Analysis","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Cancer Care Ontario; Memorial University of Newfoundland","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute on Aging; NIHR Imperial Biomedical Research Centre; Instituto de Salud Carlos III; National Institute for Health and Care Research; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Health and Medical Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; Knut och Alice Wallenbergs Stiftelse; World Cancer Research Fund; Medical Research Council; Institut National de la Santé et de la Recherche Médicale; Canadian Cancer Society Research Institute; Chonnam National University Hwasun Hospital; Centers for Disease Control and Prevention; Xunta de Galicia; National Human Genome Research Institute; Cancer Council Victoria; School of Public Health, Imperial College London; Deutsche Krebshilfe; Associazione Italiana per la Ricerca sul Cancro; Centres de Recerca de Catalunya; Chonnam National University; Umeå Universitet; Vetenskapsrådet; Mutuelle Générale de l'Education Nationale; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Imperial College London; Generalitat de Catalunya; Canadian Institutes of Health Research; Cancerfonden; Institut Gustave-Roussy; University of South Florida; Conseil Régional des Pays de la Loire; University of Cambridge; Wageningen University and Research; Cancer Research UK; Moffitt Cancer Center; Pelotonia; Mike and Josie Harper Cancer Research Institute; National Institutes of Health; National Heart, Lung, and Blood Institute; Florida Department of Health; Memorial Sloan-Kettering Cancer Center; Johns Hopkins University; National Cancer Institute; Fundación Científica Asociación Española Contra el Cáncer; Division of Cancer Prevention, National Cancer Institute; Association Anne de Bretagne Genetique; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Fred Hutchinson Cancer Research Center; U.S. Department of Health and Human Services; Office of Research Infrastructure Programs, National Institutes of Health; American Institute for Cancer Research; Damon Runyon Cancer Research Foundation","keywords":"Colorectal cancer; Medicine; Single-nucleotide polymorphism; Mendelian randomization; Butyrate; Genetic model; Internal medicine; Gut flora; Oncology; Cancer; Genetics; Genotype; Biology; Immunology; Gene; Genetic variants; Food science","score_opus":0.018982159685277035,"score_gpt":0.29366239894300317,"score_spread":0.2746802392577261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311275318","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":[0.98405534,0.0040221503,0.0065108673,0.0026588554,0.0002869662,0.0013438996,0.0010895457,0.00003031357,0.0000020880943],"genre_scores_gemma":[0.99316007,0.0008613383,0.0010294892,0.0011979362,0.00015449997,0.0015376386,0.0017398308,0.000037515754,0.0002816769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966188,0.0013469108,0.0005521257,0.00090045534,0.00008631066,0.0004953955],"domain_scores_gemma":[0.99853545,0.00013191598,0.0008533263,0.00021436859,0.00016369892,0.00010123366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813414,0.00026241786,0.00056416524,0.0002001317,0.00055440614,0.000012126858,0.00014291328,0.00024633555,0.000049373422],"category_scores_gemma":[0.0003081685,0.00023662605,0.0002240087,0.00040648767,0.00017024504,0.000009231814,0.000105008534,0.00019687299,2.8348703e-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":[0.0030328103,0.000096402444,0.67474955,0.00006692288,0.0036645432,0.0000019804015,0.00011033287,0.003790543,0.31005827,0.0000045175275,0.0026862307,0.0017378639],"study_design_scores_gemma":[0.0071368273,0.0010842347,0.9648989,0.00006968987,0.002006666,0.000013331442,0.00012812304,0.0038264191,0.017509654,0.00012505107,0.002650713,0.00055038073],"about_ca_topic_score_codex":0.000524473,"about_ca_topic_score_gemma":0.0024104782,"teacher_disagreement_score":0.29254863,"about_ca_system_score_codex":0.00024556264,"about_ca_system_score_gemma":0.00029792506,"threshold_uncertainty_score":0.964933},"labels":[],"label_agreement":null},{"id":"W4313279453","doi":"10.1158/1055-9965.epi-22-0763","title":"Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":"Memorial University of Newfoundland; Lunenfeld-Tanenbaum Research Institute","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; NIHR Imperial Biomedical Research Centre; Instituto de Salud Carlos III; Ontario Ministry of Research and Innovation; National Health and Medical Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; World Cancer Research Fund; Medical Research Council; Centers for Disease Control and Prevention; World Health Organization; Xarxa de Bancs de Tumors de Catalunya; Junta de Castilla y León; National Institutes of Health; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Centre Hospitalier Universitaire de Nantes; Medizinische Universität Graz; Grantová Agentura České Republiky; Herzfelder'sche Familienstiftung; Institut Gustave-Roussy; National Human Genome Research Institute; Cancer Council Victoria; School of Public Health, Imperial College London; Deutsche Krebshilfe; Associazione Italiana per la Ricerca sul Cancro; Vetenskapsrådet; Harvard T.H. Chan School of Public Health; Karolinska Institutet; Ministerstvo Zdravotnictví Ceské Republiky; Canadian Institutes of Health Research; Cancerfonden; Johns Hopkins University; Centre International de Recherche sur le Cancer; Canadian Cancer Society Research Institute; Institut National de la Santé et de la Recherche Médicale; Conseil Régional des Pays de la Loire; University of Pittsburgh; University of Cambridge; Cancer Research UK; Food Standards Agency; Bundesministerium für Bildung und Forschung; Swedish Cancer Foundation; Damon Runyon Cancer Research Foundation; Karl-Franzens-Universität Graz; Univerzita Karlova v Praze; McGill University; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Institute for Health and Care Research; Division of Cancer Prevention, National Cancer Institute; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Association Anne de Bretagne Genetique; Brigham and Women's Hospital; Fred Hutchinson Cancer Research Center; Imperial College London; U.S. Department of Health and Human Services","keywords":"Colorectal cancer; Genotype; Single-nucleotide polymorphism; Confidence interval; Medicine; Internal medicine; Oncology; Locus (genetics); Population; Cancer; Gene; Genetics; Gastroenterology; Biology","score_opus":0.01618172037430749,"score_gpt":0.3176869936673976,"score_spread":0.3015052732930901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313279453","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":[0.9832539,0.003360481,0.009015331,0.0016675724,0.0006464822,0.0018821262,0.0001395991,0.000027941633,0.000006542306],"genre_scores_gemma":[0.9925846,0.00029736946,0.0021961352,0.00018839726,0.00010607926,0.0038065794,0.0003626542,0.000044248336,0.00041392352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955219,0.0021314577,0.0009275391,0.00083900464,0.000115901916,0.00046421608],"domain_scores_gemma":[0.9978669,0.000588187,0.0009039549,0.00031670468,0.00020875252,0.000115449795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004161079,0.000276498,0.000483104,0.00018524594,0.0007071521,0.000015601974,0.00022086142,0.00015832321,0.00011666985],"category_scores_gemma":[0.0018207069,0.00026668364,0.00013985767,0.00023622879,0.00012491252,0.000015538497,0.00028992168,0.00022130892,0.0000012999388],"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":[0.0056295423,0.00012998353,0.8373532,0.00002099435,0.0011270354,0.0000015939136,0.000478933,0.018322866,0.1322093,0.000004069391,0.0014086971,0.0033137249],"study_design_scores_gemma":[0.0019246229,0.0018405444,0.98643535,0.000027637207,0.00028400906,0.000021076878,0.0014683643,0.00075097865,0.001899974,0.00048494278,0.0045415075,0.00032096158],"about_ca_topic_score_codex":0.00055659737,"about_ca_topic_score_gemma":0.00077643833,"teacher_disagreement_score":0.14908212,"about_ca_system_score_codex":0.00025708394,"about_ca_system_score_gemma":0.00019395619,"threshold_uncertainty_score":0.99997854},"labels":[],"label_agreement":null},{"id":"W4313816321","doi":"10.1158/1538-7755.disp22-c036","title":"Abstract C036: Correlation of Kaiso and androgen receptor expression in women of African ancestry with triple-negative breast cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","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":"Princess Margaret Cancer Centre; McMaster University","funders":"","keywords":"Triple-negative breast cancer; Androgen receptor; Breast cancer; Tissue microarray; Cancer research; Oncology; Cancer; Immunohistochemistry; Metastasis; Transcription factor; Medicine; Internal medicine; Biology; Prostate cancer; Genetics; Gene","score_opus":0.05854476101759445,"score_gpt":0.38378851079210186,"score_spread":0.32524374977450743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313816321","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":[0.9919863,0.0049661184,0.000052527626,0.0017178279,0.00015190168,0.00082009536,0.00014728258,0.000027909773,0.00013008324],"genre_scores_gemma":[0.98998624,0.008547108,0.0003973794,0.000027527198,0.000049238002,0.00049568154,0.000108086555,0.000018479031,0.0003702476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829155,0.00026475938,0.00054170785,0.00038014393,0.0001530708,0.0003687638],"domain_scores_gemma":[0.9987366,0.0003790884,0.0004610905,0.00017057823,0.00012611883,0.00012652608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010972803,0.00016655658,0.0005951786,0.00029810917,0.00004453389,0.000001970481,0.00006429764,0.00017798148,0.00022226709],"category_scores_gemma":[0.00013277649,0.0001217124,0.0000651583,0.0006230949,0.00039917981,0.00014051267,0.00003788501,0.00017001266,0.0000020481093],"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":[0.0087520275,0.0001255492,0.9123213,0.0004560716,0.00037502445,0.000006542639,0.0008318993,0.00008288352,0.023229448,0.0000079815,0.0014020322,0.052409228],"study_design_scores_gemma":[0.0042073024,0.00039530027,0.98237264,0.0018632618,0.00006126365,0.0000050470103,0.0010393473,0.0003138605,0.008846599,0.0006771558,0.000099853845,0.000118372],"about_ca_topic_score_codex":0.0007606299,"about_ca_topic_score_gemma":0.00015383205,"teacher_disagreement_score":0.07005133,"about_ca_system_score_codex":0.0003326188,"about_ca_system_score_gemma":0.00030903413,"threshold_uncertainty_score":0.49632877},"labels":[],"label_agreement":null},{"id":"W4313816417","doi":"10.1158/1538-7755.disp22-a083","title":"Abstract A083: Higher incidence of rare ovarian tumors in West Africa","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Incidence (geometry); Ovarian cancer; Retrospective cohort study; Demographics; Cohort; Demography; Cancer; Gynecology; Internal medicine","score_opus":0.08128701981932286,"score_gpt":0.37598111807753404,"score_spread":0.2946940982582112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313816417","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":[0.9400712,0.016905496,0.00010435431,0.03454184,0.0019239524,0.001701947,0.00008609925,0.0002275638,0.0044375337],"genre_scores_gemma":[0.9955042,0.0018166044,0.00072812254,0.00033256845,0.00015893897,0.00044894373,0.00013576196,0.00002678332,0.0008480513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977057,0.00027290243,0.00085872423,0.00054075103,0.00014413206,0.00047779796],"domain_scores_gemma":[0.9983994,0.00056222605,0.00040757537,0.00039371854,0.00009368305,0.00014342456],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015161391,0.00021996991,0.00072931725,0.0003346106,0.00004633375,0.00000340613,0.00012685733,0.00022941419,0.0012351241],"category_scores_gemma":[0.00038033864,0.0001937349,0.000233594,0.0007196551,0.0001700451,0.0001076707,0.00005903798,0.00018199929,0.00009997131],"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":[0.0004381758,0.00025166335,0.94447243,0.00025629372,0.00043796125,0.00013654534,0.00013851852,0.00007302919,0.001008645,0.0007187412,0.025563475,0.0265045],"study_design_scores_gemma":[0.0017821558,0.0001935963,0.98828316,0.0012262753,0.00013648598,0.0000071072936,0.00006718217,0.00008091119,0.00027595318,0.0037962294,0.00400286,0.00014806556],"about_ca_topic_score_codex":0.0012910565,"about_ca_topic_score_gemma":0.00044086616,"teacher_disagreement_score":0.055433016,"about_ca_system_score_codex":0.00038237826,"about_ca_system_score_gemma":0.0002622407,"threshold_uncertainty_score":0.9996779},"labels":[],"label_agreement":null},{"id":"W4313816474","doi":"10.1158/1538-7755.disp22-a032","title":"Abstract A032: Dignity therapy effects by race: Chaplain and nurse implementation in pragmatic, multisite stepped-wedge randomized control trial","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dignity; Randomized controlled trial; Medicine; Palliative care; Nursing; Family medicine; Internal medicine","score_opus":0.043084322814422864,"score_gpt":0.4176648410368999,"score_spread":0.374580518222477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313816474","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":[0.9795935,0.0074839666,0.0008433732,0.0031718113,0.00069793005,0.00796308,0.00006646188,0.00010803,0.00007183572],"genre_scores_gemma":[0.99163043,0.0042147916,0.00017055584,0.00083831855,0.0001355118,0.001963093,0.000908621,0.000026300619,0.00011235656],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9949245,0.0029497081,0.0010117317,0.00048103876,0.00014718775,0.00048583752],"domain_scores_gemma":[0.99411136,0.0049964017,0.00045215272,0.00022960537,0.000053880838,0.00015659734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070973746,0.00026843828,0.0012041084,0.00027077657,0.00011510598,0.000010653414,0.00008550158,0.000274938,0.00014990481],"category_scores_gemma":[0.0021837757,0.00022652229,0.00024538662,0.00028140086,0.00022858259,0.0002101728,0.000022505677,0.00025166932,0.000026385074],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.6731128,0.00047838603,0.15346234,0.00042604,0.0013417605,0.000021178774,0.0009821686,0.000008726323,0.008341656,0.000093706316,0.017439296,0.14429192],"study_design_scores_gemma":[0.75686425,0.00049578794,0.236878,0.00033073084,0.00022986653,0.000002672651,0.00014155982,0.0010236577,0.0007092186,0.0024492482,0.0006638754,0.00021112051],"about_ca_topic_score_codex":0.0005798962,"about_ca_topic_score_gemma":0.00015976759,"teacher_disagreement_score":0.1440808,"about_ca_system_score_codex":0.00014629959,"about_ca_system_score_gemma":0.00008425149,"threshold_uncertainty_score":0.9237311},"labels":[],"label_agreement":null},{"id":"W4313816564","doi":"10.1158/1538-7755.disp22-a028","title":"Abstract A028: Exploring age and race/ethnic associations with the multiple dimensions of pain among cancer patients receiving home hospice care","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Medicine; McGill Pain Questionnaire; Randomized controlled trial; Analysis of variance; Physical therapy; Gerontology; Internal medicine; Visual analogue scale","score_opus":0.07612681836651607,"score_gpt":0.3439313843025463,"score_spread":0.2678045659360302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313816564","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":[0.992419,0.0040679825,0.00017159415,0.001990618,0.00032205269,0.0008606055,0.00002049722,0.000090748305,0.000056922523],"genre_scores_gemma":[0.9925431,0.005693915,0.00023524115,0.00021658294,0.000080590005,0.00058548665,0.00023709536,0.000023178683,0.00038483692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981453,0.0005585153,0.00042379022,0.00036152426,0.00014816088,0.00036273812],"domain_scores_gemma":[0.99744475,0.0016380968,0.0004453512,0.00025356613,0.0001304648,0.00008780197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023040762,0.00017625924,0.0004254599,0.00016289517,0.0002087181,0.0000055382066,0.00009712225,0.00012228201,0.00002252177],"category_scores_gemma":[0.0011488468,0.00011686729,0.00011936427,0.0004680158,0.00019677007,0.00015157204,0.00007723852,0.00016529896,0.0000028363754],"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":[0.00008433297,0.000033080185,0.964748,0.00015892358,0.0004512031,0.0000040831305,0.0012535342,0.000115176015,0.0003284173,0.000007912744,0.0038125038,0.029002795],"study_design_scores_gemma":[0.0010723071,0.00010887771,0.9949028,0.00070670963,0.0002848102,5.0616624e-8,0.0015217367,0.00041537435,0.000048719503,0.00009698315,0.00070573215,0.00013591709],"about_ca_topic_score_codex":0.0009504112,"about_ca_topic_score_gemma":0.0038426118,"teacher_disagreement_score":0.030154742,"about_ca_system_score_codex":0.00019632552,"about_ca_system_score_gemma":0.000053137916,"threshold_uncertainty_score":0.476571},"labels":[],"label_agreement":null},{"id":"W4313816706","doi":"10.1158/1538-7755.disp22-b009","title":"Abstract B009: Pain alleviating factors reported by cancer patients","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Lung cancer; Cancer pain; Physical therapy; McGill Pain Questionnaire; Head and neck cancer; Quality of life (healthcare); Cognition; Internal medicine; Psychiatry; Visual analogue scale","score_opus":0.07469535598941618,"score_gpt":0.40162340676952324,"score_spread":0.32692805078010706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313816706","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":[0.9866699,0.0064456714,0.00015808002,0.0036521878,0.0008733271,0.0013077707,0.00020934475,0.00029698576,0.00038674896],"genre_scores_gemma":[0.9900398,0.0022180611,0.0001563669,0.0005335229,0.00026043542,0.00064324006,0.003276202,0.00008127405,0.0027910722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99571925,0.0009261935,0.0010894879,0.00093746715,0.00037028495,0.00095734076],"domain_scores_gemma":[0.9971279,0.0010506692,0.0006697092,0.00047570016,0.00025531105,0.00042072398],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030906214,0.000352764,0.00072110974,0.00027712868,0.00021159204,0.000009551267,0.00015459718,0.0003443254,0.0017587403],"category_scores_gemma":[0.00331836,0.0003199327,0.0003828796,0.0006395739,0.00027327274,0.00017825264,0.00011793811,0.0003980679,0.000056022927],"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":[0.00023501743,0.00015681791,0.81494254,0.0003734467,0.0008275764,0.000027385657,0.0000515844,0.000013944314,0.0020110789,0.0000075719754,0.10281718,0.07853583],"study_design_scores_gemma":[0.0014231862,0.00010471323,0.9873739,0.00051068194,0.0001870152,0.0000019745698,0.0001563788,0.0015671497,0.0002580549,0.00074010075,0.007399906,0.00027698022],"about_ca_topic_score_codex":0.0016155792,"about_ca_topic_score_gemma":0.00015458313,"teacher_disagreement_score":0.17243129,"about_ca_system_score_codex":0.0011576487,"about_ca_system_score_gemma":0.00045696207,"threshold_uncertainty_score":0.99992526},"labels":[],"label_agreement":null},{"id":"W4313830725","doi":"10.1158/1055-9965.epi-22-0817","title":"Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Memorial University of Newfoundland; Lunenfeld-Tanenbaum Research Institute","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Cancer Institute; National Institutes of Health; Kaiser Permanente; Fred Hutchinson Cancer Research Center; World Health Organization","keywords":"Medicine; Colorectal cancer; Confidence interval; Cohort; Internal medicine; Incidence (geometry); Cancer; Cohort study; Family history; Risk assessment; Oncology; Demography","score_opus":0.05793032750843004,"score_gpt":0.37418709362498265,"score_spread":0.3162567661165526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313830725","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":[0.8153673,0.00060828036,0.18105146,0.00037147372,0.0004562224,0.0015717953,0.00038008217,0.00015909802,0.000034337285],"genre_scores_gemma":[0.9920719,0.0008495957,0.002862525,0.000116156276,0.00010630275,0.0031682204,0.00066730723,0.000033629807,0.00012432826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971344,0.0009900464,0.0008701938,0.0004191864,0.0001489682,0.00043720144],"domain_scores_gemma":[0.9981023,0.0007163058,0.00058445806,0.00027328107,0.00022875644,0.00009486391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003965114,0.00020510823,0.0006214214,0.00044152682,0.00019191291,0.0000037307227,0.000099972436,0.00033258952,0.000036283593],"category_scores_gemma":[0.0008511335,0.00021043824,0.00027543755,0.00072430115,0.00012241435,0.00008728432,0.000038250004,0.00035704413,0.0000025691368],"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":[0.009404002,0.00017542444,0.8914088,0.00036295017,0.0003798701,5.586644e-7,0.0003222926,0.06343033,0.015020448,0.000009926334,0.0010965079,0.018388864],"study_design_scores_gemma":[0.0025487987,0.0008613057,0.5260299,0.0003228898,0.00027183708,0.0000010188613,0.000058943395,0.45829734,0.01018711,0.0012712418,0.000041623218,0.00010801568],"about_ca_topic_score_codex":0.0015842516,"about_ca_topic_score_gemma":0.0026404306,"teacher_disagreement_score":0.394867,"about_ca_system_score_codex":0.0005026392,"about_ca_system_score_gemma":0.00035769487,"threshold_uncertainty_score":0.85814226},"labels":[],"label_agreement":null},{"id":"W4313891287","doi":"10.1158/1538-7755.disp22-b101","title":"Abstract B101: Bridging the gap between cancer care service delivery and the sexual and gender minority communities: a scoping review of the literature","year":2023,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lesbian; Transgender; Sexual orientation; Health equity; Health care; Reproductive health; Public relations; Medical education; Psychology; Medicine; Sociology; Political science; Gender studies; Social psychology; Population","score_opus":0.31352634138012286,"score_gpt":0.5154507291773465,"score_spread":0.2019243877972236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313891287","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":[0.0013282725,0.98847693,0.0000044616927,0.0044287615,0.0013865217,0.0034279767,0.00064382754,0.000038129583,0.0002650899],"genre_scores_gemma":[0.00014490396,0.99496424,0.00001000141,0.0020600262,0.0010107212,0.0010909914,0.00030561586,0.000051203766,0.0003623176],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98868704,0.008336998,0.0016478725,0.0005709621,0.00016829533,0.00058884633],"domain_scores_gemma":[0.9918131,0.004780291,0.001960702,0.0011092687,0.00023450241,0.00010211255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0054944744,0.0005340094,0.0022202272,0.00013453035,0.0007165115,0.00003663,0.0008356138,0.0006989032,0.00010769797],"category_scores_gemma":[0.00031152443,0.0002873343,0.00051189173,0.00063693355,0.00090268545,0.000107638334,0.0004562975,0.0012480699,0.00000926877],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030239871,0.000009648961,0.014155657,0.629385,0.0015330391,0.0000012498684,0.0024412323,2.89135e-7,4.3547605e-8,0.00015346645,0.010898965,0.34139115],"study_design_scores_gemma":[0.0016771391,0.00006169266,0.10181994,0.795102,0.016153662,0.00009142669,0.00189269,0.000006414802,4.2080487e-8,0.002252789,0.07992611,0.0010161145],"about_ca_topic_score_codex":0.034046415,"about_ca_topic_score_gemma":0.013216778,"teacher_disagreement_score":0.34037504,"about_ca_system_score_codex":0.000212987,"about_ca_system_score_gemma":0.0006729602,"threshold_uncertainty_score":0.99995786},"labels":[],"label_agreement":null},{"id":"W4313891451","doi":"10.1158/1538-7755.disp22-b131","title":"Abstract B131: Efficacy and safety of darolutamide in combination with androgen-deprivation therapy (ADT) and docetaxel in Black/African-American patients from the phase 3 ARASENS trial","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Docetaxel; Medicine; Androgen deprivation therapy; Prostate cancer; Internal medicine; Population; Clinical endpoint; Oncology; Randomized controlled trial; Cancer","score_opus":0.06115497044165732,"score_gpt":0.39389480720932013,"score_spread":0.33273983676766283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313891451","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":[0.99265724,0.0018844624,0.00003314823,0.003310294,0.000069841524,0.0019462035,0.000053119762,0.000020132024,0.00002556717],"genre_scores_gemma":[0.9896933,0.009386423,0.00008059596,0.00008824086,0.000036762387,0.0001584623,0.00052314496,0.000014379956,0.000018703113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981838,0.00047111933,0.000541911,0.00038450173,0.00014409995,0.00027457825],"domain_scores_gemma":[0.9982433,0.0010932839,0.00034237411,0.00018735013,0.00006310583,0.00007061117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013397029,0.00015762246,0.00048514665,0.00021208411,0.000056161392,0.0000052813357,0.000060465725,0.00009353658,0.000016903257],"category_scores_gemma":[0.0003218403,0.000103049606,0.000046935438,0.00055328687,0.00055460527,0.00009247177,0.000029841984,0.00017121134,0.0000011774877],"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":[0.06758777,0.0005346059,0.81069887,0.000027606264,0.00025114062,0.0000060476464,0.00050338794,0.000015965941,0.00092521723,0.000016132588,0.00016526341,0.11926801],"study_design_scores_gemma":[0.097969845,0.0014310037,0.8984872,0.0002441882,0.000048416416,5.2838334e-7,0.00023987172,0.00042013227,0.00025261723,0.0006773417,0.0001416963,0.00008717476],"about_ca_topic_score_codex":0.0016210207,"about_ca_topic_score_gemma":0.0005104822,"teacher_disagreement_score":0.11918083,"about_ca_system_score_codex":0.00016834341,"about_ca_system_score_gemma":0.00012173744,"threshold_uncertainty_score":0.4202241},"labels":[],"label_agreement":null},{"id":"W4313895122","doi":"10.1158/1538-7755.disp22-ia017","title":"Abstract IA017: Two-row wampum &amp; Indigenous cancer care services: Building respectful parallels of sovereignty along the cancer care continuum.","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Outreach; Parallels; Sovereignty; Health care; Shamanism; Cancer; Ethnic group; Medicine; Health equity; Community engagement; Gender studies; Sociology; Political science; Gerontology; Public relations; Law; History; Internal medicine; Ecology; Engineering; Politics","score_opus":0.1287921485613422,"score_gpt":0.44805316663312134,"score_spread":0.31926101807177915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313895122","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":[0.8844564,0.10900934,0.0001792979,0.002323054,0.0014225526,0.0014407788,0.00028048386,0.00020073014,0.0006873392],"genre_scores_gemma":[0.9846689,0.010296773,0.00078231376,0.00167148,0.00084987015,0.000869727,0.0004277034,0.0000704378,0.000362771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953963,0.00056467025,0.0013413104,0.0010533695,0.0004781223,0.0011662203],"domain_scores_gemma":[0.9962988,0.00060646725,0.0011514097,0.0008977685,0.0007812357,0.00026435818],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020276671,0.00051344675,0.0012005843,0.00025624124,0.00045724778,0.000025168729,0.0006392742,0.0004531079,0.0007407316],"category_scores_gemma":[0.00032912634,0.0004026301,0.00059928687,0.00083392,0.0003838769,0.0002567827,0.00021746448,0.000579507,0.00003276325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012692737,0.000031008163,0.9158356,0.0015573996,0.0012223511,0.00004136802,0.0055712266,0.0025227612,0.0052598864,0.00011551162,0.0070711123,0.059502505],"study_design_scores_gemma":[0.0028306365,0.00020411651,0.96479166,0.0052563525,0.0009809003,0.000024097435,0.00961345,0.00012911232,0.0024471795,0.0022178185,0.010910263,0.0005943906],"about_ca_topic_score_codex":0.05995165,"about_ca_topic_score_gemma":0.091875054,"teacher_disagreement_score":0.1002125,"about_ca_system_score_codex":0.0011831606,"about_ca_system_score_gemma":0.00095026783,"threshold_uncertainty_score":0.9998426},"labels":[],"label_agreement":null},{"id":"W4313895257","doi":"10.1158/1538-7755.disp22-b102","title":"Abstract B102: Multigenerational socioeconomic status and breast tissue composition in mothers and their adolescent daughters: Findings from a multiethnic cohort in New York City","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Breast cancer; Socioeconomic status; Demography; Medicine; Daughter; Social class; Cohort study; Cohort; Breast development; Gerontology; Population; Endocrinology; Cancer; Internal medicine; Environmental health; Hormone; Biology","score_opus":0.04750558535321454,"score_gpt":0.32791975476456453,"score_spread":0.28041416941135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313895257","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":[0.9952241,0.0009975437,0.0007999591,0.001984711,0.00013202713,0.0007320384,0.00007676436,0.00002931826,0.000023521497],"genre_scores_gemma":[0.9963089,0.0018229691,0.00072951027,0.00065851863,0.000043553347,0.00009082389,0.00028405423,0.000018215133,0.0000434329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765944,0.00050594145,0.00052409136,0.00077018456,0.00006883943,0.0004715246],"domain_scores_gemma":[0.9990331,0.0004533893,0.00019139094,0.00014444585,0.000002541222,0.00017512603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017439114,0.00020764185,0.0003275112,0.000112129994,0.00010000001,0.000011074404,0.00008124426,0.00017710001,0.0005416925],"category_scores_gemma":[0.00004892749,0.00021542006,0.0000419977,0.00011716408,0.0003032072,0.00023813163,0.00009701336,0.00023278304,0.000056824774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006870346,0.00003972486,0.93448055,0.000012580671,0.000036107816,0.0000015597674,0.00075007573,0.0006997273,0.010176166,0.0000017485999,0.0007183974,0.053014647],"study_design_scores_gemma":[0.0009955809,0.000019057401,0.9918771,0.00014894358,0.00001125147,0.0000015152606,0.00025975597,0.004528738,0.00021961953,0.0015660669,0.00018155327,0.00019086545],"about_ca_topic_score_codex":0.011188015,"about_ca_topic_score_gemma":0.010122696,"teacher_disagreement_score":0.05739649,"about_ca_system_score_codex":0.0009228732,"about_ca_system_score_gemma":0.000048057933,"threshold_uncertainty_score":0.99539655},"labels":[],"label_agreement":null},{"id":"W4313895269","doi":"10.1158/1538-7755.disp22-a082","title":"Abstract A082: Is there value in gynecologic cancer clinical trial participation for Black women?","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ethics in Clinical Research","field":"Medicine","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":"Women's Health Research Institute","funders":"","keywords":"Medicine; Clinical trial; Ethnic group; Gynecologic oncology; Family medicine; Gerontology; Demography; Gynecology; Oncology; Internal medicine","score_opus":0.7339798151309204,"score_gpt":0.6808805820436581,"score_spread":0.053099233087262276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313895269","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":[0.96076196,0.0015467212,0.0002184643,0.032004897,0.00211272,0.0028863638,0.000044504184,0.00011030432,0.00031404136],"genre_scores_gemma":[0.9702789,0.016320564,0.00061067066,0.0031058365,0.0010442818,0.004923065,0.00012358619,0.000047115554,0.0035459718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937761,0.001586947,0.0022504542,0.0010073762,0.00032478536,0.0010543627],"domain_scores_gemma":[0.9636115,0.034647737,0.00062000466,0.00052526966,0.0002815637,0.00031393982],"candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.037252676,0.00023523817,0.0010278677,0.00023378934,0.00010460192,0.000009524596,0.00026057207,0.0013584073,0.0014201321],"category_scores_gemma":[0.05291203,0.00020014263,0.00050442544,0.0005560063,0.00066263677,0.00009874044,0.00011253694,0.0012397585,0.00014923552],"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":[0.048012108,0.0008758073,0.821127,0.00090965367,0.0010773431,0.000018855566,0.00039837635,0.0003687768,0.0002250636,0.0019668415,0.035509877,0.08951031],"study_design_scores_gemma":[0.024752902,0.0016605713,0.8049011,0.0005544818,0.00012559703,2.830988e-7,0.00019880787,0.0045841252,0.00005655934,0.15924513,0.0037248945,0.00019550306],"about_ca_topic_score_codex":0.000365107,"about_ca_topic_score_gemma":0.0010680577,"teacher_disagreement_score":0.1572783,"about_ca_system_score_codex":0.000821702,"about_ca_system_score_gemma":0.0010244396,"threshold_uncertainty_score":0.999938},"labels":[],"label_agreement":null},{"id":"W4315710014","doi":"10.1158/1055-9965.epi-22-1109","title":"5α-Reductase Inhibitors and Risk of Kidney and Bladder Cancers in Men with Benign Prostatic Hyperplasia: A Population-Based Cohort Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":6,"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; Jewish General Hospital; McGill University Health Centre","funders":"Queen's University Belfast; Queen's University; Cancer Research UK","keywords":"Medicine; Hyperplasia; Cohort; Urology; Oncology; Internal medicine; Population; Gynecology","score_opus":0.021572242104732343,"score_gpt":0.33320985648904655,"score_spread":0.3116376143843142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315710014","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":[0.9943026,0.0014847203,0.00002910693,0.0012166029,0.000121453195,0.0026256307,0.000091425616,0.00004647429,0.00008201217],"genre_scores_gemma":[0.99711025,0.00095696846,0.00045426132,0.00016475219,0.000044413107,0.00086913374,0.00022688012,0.000029524776,0.0001438274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978251,0.0005773604,0.00056518195,0.00056846323,0.00015138989,0.00031251687],"domain_scores_gemma":[0.99885327,0.00029790986,0.00032048594,0.00022817166,0.000060965325,0.00023917416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012401114,0.00023444736,0.0006800044,0.00029889084,0.0000820961,0.000004311647,0.000040544463,0.00012517886,0.00003698305],"category_scores_gemma":[0.00046969726,0.00018490071,0.000058962436,0.00045494817,0.00019497819,0.000082283594,0.000024400148,0.00014801485,0.0000012647392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012466457,0.00014707023,0.9912712,0.00014531055,0.0012125421,0.000015750638,0.00031462128,0.00011916003,0.00013362014,0.0000071805766,0.0018745473,0.0035123355],"study_design_scores_gemma":[0.005739674,0.0010094324,0.9892312,0.00040176886,0.0011254507,0.000008353512,0.0005953952,0.0011939808,0.00011926244,0.0003746141,0.000047388832,0.00015346317],"about_ca_topic_score_codex":0.016435748,"about_ca_topic_score_gemma":0.0031085203,"teacher_disagreement_score":0.013327228,"about_ca_system_score_codex":0.00028765053,"about_ca_system_score_gemma":0.0005359122,"threshold_uncertainty_score":0.9901139},"labels":[],"label_agreement":null},{"id":"W4316928357","doi":"10.1158/1055-9965.epi-22-0756","title":"Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"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; Cancer Care Ontario; Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto; University Health Network","funders":"National Cancer Institute; NIHR Cambridge Biomedical Research Centre; European Regional Development Fund; European Commission; Fondation du cancer du sein du Québec; National Institutes of Health; National Institute for Health and Care Research; Generalitat de Catalunya; Cancer Research UK; Government of Canada; Centres de Recerca de Catalunya; Instituto de Salud Carlos III; Canadian Institutes of Health Research; Genome Canada","keywords":"Polygenic risk score; Breast cancer; Risk assessment; Medicine; Risk model; Lifetime risk; Cancer; Environmental health; Oncology; Internal medicine; Risk analysis (engineering); Biology; Computer science; Genetics","score_opus":0.025695284025253555,"score_gpt":0.331123046905329,"score_spread":0.30542776288007545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316928357","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":[0.95341635,0.0075582713,0.031570118,0.0048764427,0.001195942,0.00060354127,0.0006121141,0.000090801834,0.00007639893],"genre_scores_gemma":[0.9703414,0.023616912,0.002308474,0.00056208775,0.0008901134,0.0008130114,0.0006664478,0.0000463046,0.0007552382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953157,0.0022314764,0.00086411077,0.0008406403,0.00013088572,0.0006172236],"domain_scores_gemma":[0.9975106,0.00037993383,0.0012567212,0.0005317347,0.00018671865,0.00013425447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004651641,0.0003183522,0.00043424597,0.00013607692,0.0006726648,0.000012846402,0.0003891223,0.00045439816,0.000039020342],"category_scores_gemma":[0.0013241118,0.00025003785,0.00032892663,0.00038186394,0.00040362944,0.000017484665,0.00024964433,0.0003418795,0.00002941073],"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":[0.00016434236,0.000026536487,0.88253355,0.000013108738,0.00093549734,4.680107e-7,0.0001650563,0.057852607,0.0037416078,0.000086592125,0.023582283,0.030898366],"study_design_scores_gemma":[0.00066038076,0.00012900804,0.79085004,0.000058486912,0.00030496911,0.0000058777255,0.00018937002,0.17857502,0.00028084056,0.027864274,0.0008053507,0.0002763823],"about_ca_topic_score_codex":0.0049604955,"about_ca_topic_score_gemma":0.0035591663,"teacher_disagreement_score":0.12072241,"about_ca_system_score_codex":0.00017524292,"about_ca_system_score_gemma":0.00029502943,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W4317378996","doi":"10.1158/1055-9965.epi-22-1073","title":"Inference on the Genetic Architecture of Breast Cancer Risk","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in 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":"University of Alberta","funders":"National Cancer Institute; Alberta Machine Intelligence Institute; American Lebanese Syrian Associated Charities","keywords":"Zygosity; Concordance; Breast cancer; Genetic architecture; Population; Genetics; Cancer; Biology; Monozygotic twin; Genome-wide association study; Germline; Twin study; Disease; Germline mutation; Demography; Medicine; Mutation; Internal medicine; Single-nucleotide polymorphism; Gene; Heritability; Genotype; Quantitative trait locus","score_opus":0.03472759848575745,"score_gpt":0.35670412273158414,"score_spread":0.3219765242458267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317378996","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":[0.97644967,0.0063614803,0.0055448506,0.009471217,0.0009904002,0.00055938604,0.00039754034,0.000044944303,0.00018053199],"genre_scores_gemma":[0.9889315,0.007841309,0.00076044427,0.00071811525,0.00038641,0.0006468953,0.00012554595,0.0000332792,0.0005565105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976949,0.0008499613,0.00045492427,0.00052295526,0.00011059154,0.00036667997],"domain_scores_gemma":[0.99843127,0.00037640805,0.0004342856,0.0005772956,0.00011780052,0.000062961226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011169054,0.0002088931,0.0002592794,0.00010762319,0.0001443819,0.0000047755657,0.0003525257,0.00024648345,0.00021989667],"category_scores_gemma":[0.000555367,0.00015533107,0.00020621523,0.00037291477,0.00037357648,0.0000034323912,0.00012357556,0.00018871215,0.00002466966],"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":[0.0006880769,0.000083739214,0.5622422,0.000097331176,0.0016282568,0.0000018619804,0.00018715025,0.032679774,0.07678967,0.00047082407,0.09169071,0.23344041],"study_design_scores_gemma":[0.00053104945,0.00020351102,0.96366084,0.00016864887,0.0001507001,0.000007888895,0.00008457015,0.0008290123,0.0117500685,0.01041855,0.011900252,0.00029492076],"about_ca_topic_score_codex":0.00032142107,"about_ca_topic_score_gemma":0.0005067826,"teacher_disagreement_score":0.40141866,"about_ca_system_score_codex":0.00009029956,"about_ca_system_score_gemma":0.00029948173,"threshold_uncertainty_score":0.6334217},"labels":[],"label_agreement":null},{"id":"W4317951417","doi":"10.1158/1538-7755.disp22-b096","title":"Abstract B096: Food insecurity and receipt of Supplemental Nutrition Assistance Program (SNAP) benefits among income-eligible US pediatric acute lymphoblastic leukemia patients enrolled on a multi-center clinical trial","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","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":"Institute for Research in Immunology and Cancer; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Receipt; Supplemental Nutrition Assistance Program; McNemar's test; Pediatric cancer; Family medicine; Clinical trial; Poverty; Gerontology; Pediatrics; Cancer; Food insecurity; Internal medicine; Food security","score_opus":0.08318817866530875,"score_gpt":0.4168589203570135,"score_spread":0.33367074169170474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317951417","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":[0.99041694,0.0013821458,0.000049778668,0.0009693972,0.0019928853,0.004407481,0.0005577248,0.000203194,0.000020474776],"genre_scores_gemma":[0.9891366,0.00563968,0.0013017892,0.00037765838,0.0006350394,0.0012088626,0.0016216148,0.000054091855,0.000024687071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937495,0.0014571998,0.0025741828,0.0010806769,0.00043207558,0.0007063684],"domain_scores_gemma":[0.9959439,0.0014304365,0.0015490471,0.0004914786,0.0002172628,0.00036789643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0046122465,0.00044480056,0.0014567701,0.00045522372,0.00015466691,0.000015066649,0.00020632557,0.00058308773,0.000058517086],"category_scores_gemma":[0.0016124799,0.00042950132,0.0005834791,0.0006604378,0.00037047602,0.0002119087,0.00014987466,0.000451241,0.00001307143],"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":[0.026900472,0.0032257542,0.94899243,0.0007332017,0.0010290797,0.0000052103787,0.000109238856,0.0000051490915,0.000013658592,0.000015135844,0.0059476085,0.01302306],"study_design_scores_gemma":[0.10452363,0.005315059,0.8874064,0.0009501785,0.0005160079,0.0000024393798,0.000047373876,0.00023187061,0.000062164996,0.00031601283,0.00032522882,0.00030360624],"about_ca_topic_score_codex":0.000346394,"about_ca_topic_score_gemma":0.0010904676,"teacher_disagreement_score":0.07762316,"about_ca_system_score_codex":0.0006738829,"about_ca_system_score_gemma":0.0003314271,"threshold_uncertainty_score":0.9998157},"labels":[],"label_agreement":null},{"id":"W4320856169","doi":"10.1158/1055-9965.epi-22-0941","title":"Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Calgary Laboratory Services; University of Calgary; Vancouver General Hospital; University of British Columbia","funders":"Medical Research and Materiel Command; Peter MacCallum Foundation; Cancer Council South Australia; Medical Research Council; Cancer Council NSW; National Health and Medical Research Council; Horizon 2020 Framework Programme; National Cancer Institute; Ovarian Cancer Australia; Cancer Institute NSW; Cancer Council Tasmania; National Institutes of Health; Cancer Council Victoria; Cancer Australia; European Commission; Oregon Health and Science University","keywords":"DNA methylation; Methylation; Hazard ratio; Serous fluid; Biology; Ovarian carcinoma; Ovarian cancer; Oncology; CD8; Cancer research; Cancer; Gene; Internal medicine; Gene expression; Confidence interval; Immunology; Medicine; Immune system; Genetics","score_opus":0.035218047437678805,"score_gpt":0.3290484419689579,"score_spread":0.29383039453127907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320856169","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":[0.96221435,0.029353268,0.000306134,0.003299992,0.0032602376,0.0010918983,0.00008020516,0.00022473837,0.00016916213],"genre_scores_gemma":[0.9942749,0.001402265,0.00017667621,0.00025318275,0.000070829185,0.0008799117,0.0013469639,0.000054431675,0.0015408071],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99390286,0.002973837,0.0010894545,0.000920647,0.000052787957,0.0010604097],"domain_scores_gemma":[0.9973734,0.0013832746,0.00056032935,0.0005892153,0.000060343275,0.000033457974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024041634,0.0004258293,0.00091451535,0.0007945296,0.00016304188,0.000009131944,0.00045304382,0.0012451553,0.00054775656],"category_scores_gemma":[0.00040355412,0.00043258103,0.00021234924,0.0010958265,0.0004271552,0.00029490524,0.00020845185,0.0009690048,0.00016190954],"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":[0.0013635105,0.00018583745,0.26385024,0.00013180797,0.00076634035,0.000038740985,0.0009996019,0.001042811,0.6812915,0.0008657183,0.015441946,0.034021936],"study_design_scores_gemma":[0.004090253,0.00015553279,0.91841817,0.00036041017,0.00008833931,0.000023358843,0.00054835767,0.00024864994,0.0610803,0.011428243,0.0030052578,0.0005531405],"about_ca_topic_score_codex":0.0044922214,"about_ca_topic_score_gemma":0.0015101304,"teacher_disagreement_score":0.6545679,"about_ca_system_score_codex":0.0007758244,"about_ca_system_score_gemma":0.00023387329,"threshold_uncertainty_score":0.9998126},"labels":[],"label_agreement":null},{"id":"W4320857936","doi":"10.1158/1055-9965.epi-22-1191","title":"Site-Specific Cancer Incidence by Race and Immigration Status in Canada 2006–2015: A Population-Based Data Linkage Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":13,"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","funders":"Institute of Infection and Immunity; Canadian Institutes of Health Research","keywords":"Demography; Population; Medicine; Cancer registry; Socioeconomic status; Incidence (geometry); Rate ratio; Cancer; Record linkage; Gerontology; Environmental health; Internal medicine","score_opus":0.12045733609647857,"score_gpt":0.4161331791107299,"score_spread":0.2956758430142513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320857936","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":[0.9677098,0.023806036,0.00041119126,0.006010266,0.0004937342,0.0011092236,0.000385134,0.00006333697,0.000011277014],"genre_scores_gemma":[0.9913741,0.0043042,0.00037334635,0.0009772298,0.000120836004,0.00032601945,0.0022969923,0.000024822335,0.00020248619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99656653,0.0006864267,0.0008588091,0.00092631974,0.00031229068,0.0006496207],"domain_scores_gemma":[0.998131,0.00059419073,0.00030464254,0.00063399674,0.000107086584,0.00022909323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023044017,0.00026143558,0.00064964767,0.00020653575,0.00013658666,0.000013752416,0.00020866819,0.00015429797,0.00015527825],"category_scores_gemma":[0.0005433596,0.00025514606,0.000050935174,0.0007397775,0.00006959303,0.0002677715,0.00012620795,0.00028158276,0.000007711957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040459674,0.000033169683,0.90399116,0.000048642774,0.00007957242,0.000028130375,0.000074375406,0.0005439437,0.0004809666,0.0000026950222,0.08017349,0.014139263],"study_design_scores_gemma":[0.0015796253,0.00014130992,0.9773305,0.00042504733,0.00011359002,0.0000028083057,0.0005956067,0.015343554,0.00003071534,0.00007517709,0.004133332,0.00022873923],"about_ca_topic_score_codex":0.9485327,"about_ca_topic_score_gemma":0.97960204,"teacher_disagreement_score":0.076040156,"about_ca_system_score_codex":0.0017155268,"about_ca_system_score_gemma":0.0014940419,"threshold_uncertainty_score":0.9999901},"labels":[],"label_agreement":null},{"id":"W4322724000","doi":"10.1158/1055-9965.epi-22-1198","title":"Diet Quality and All-Cause Mortality in Women with Breast Cancer from the Breast Cancer Family Registry","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","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":"Sinai Health System; University of Toronto; Public Health Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Breast cancer; Medicine; Cancer; Oncology; Gynecology; Internal medicine; Cancer registry; Obstetrics; Demography","score_opus":0.11924351649633659,"score_gpt":0.4152023830658198,"score_spread":0.2959588665694832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322724000","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":[0.9213052,0.012978737,0.000020116575,0.06291573,0.00033296723,0.00057520566,0.001704432,0.00007332519,0.00009433054],"genre_scores_gemma":[0.93454355,0.055381887,0.00009128902,0.0066594305,0.00064538745,0.0020375333,0.00030685242,0.000036650785,0.00029740419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972898,0.0005985356,0.00063255284,0.0006810425,0.00019743605,0.0006006476],"domain_scores_gemma":[0.9983707,0.0006129955,0.00033432303,0.00038352472,0.00011704204,0.00018138353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018351008,0.00027230632,0.0007063485,0.000057976635,0.00016012759,0.000009585647,0.00013006238,0.0002016846,0.00024191213],"category_scores_gemma":[0.000110557485,0.00018088569,0.00009984862,0.00038538474,0.00051184377,0.000105757106,0.00011793766,0.00027650342,0.0000056514955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049066218,0.00009481734,0.9422107,0.0001241059,0.0028498243,0.000017125825,0.00012701374,0.000015173786,0.0003563221,0.00007465764,0.04094911,0.008274545],"study_design_scores_gemma":[0.002202859,0.00009256789,0.98867184,0.00072047306,0.0004242016,0.000013705829,0.00085498,0.000052301628,0.0000026251034,0.0042784396,0.0024740046,0.00021199298],"about_ca_topic_score_codex":0.04667184,"about_ca_topic_score_gemma":0.014037943,"teacher_disagreement_score":0.056256294,"about_ca_system_score_codex":0.00057573133,"about_ca_system_score_gemma":0.00019921822,"threshold_uncertainty_score":0.95967644},"labels":[],"label_agreement":null},{"id":"W4361190251","doi":"10.1158/1055-9965.epi-22-1290","title":"Somatic Mosaic Chromosomal Alterations and Death of Cardiovascular Disease Causes among Cancer Survivors","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Chemotherapy-induced cardiotoxicity and mitigation","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":"Hôpital Maisonneuve-Rosemont; Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Esperion Therapeutics; AstraZeneca; Canada Research Chairs; Amarin Corporation; Institut de Cardiologie de Montréal; Pfizer","keywords":"Medicine; Internal medicine; Cancer; Breast cancer; Coronary artery disease; Cause of death; Population; Proportional hazards model; Disease; Prospective cohort study; Oncology","score_opus":0.07131917001316096,"score_gpt":0.3571735920812349,"score_spread":0.28585442206807393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361190251","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":[0.97893345,0.017106414,0.001337596,0.0012242051,0.00038295865,0.0007924991,0.00007407304,0.00011093037,0.00003789562],"genre_scores_gemma":[0.988412,0.009905308,0.00022637866,0.00014062214,0.00021196234,0.00047119043,0.00033036128,0.00002907142,0.00027305708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980504,0.0004906274,0.0005214173,0.00044960837,0.00017041597,0.00031753184],"domain_scores_gemma":[0.9988374,0.000257993,0.00021389112,0.00038314302,0.00009888429,0.00020870168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011338423,0.00019866992,0.0006714568,0.00018571003,0.00012364038,0.0000057636726,0.00006251959,0.00017648778,0.00007207732],"category_scores_gemma":[0.00033429902,0.0001882072,0.00044034753,0.00032230513,0.00021457805,0.00014767134,0.00003595897,0.00012387832,0.0000043612067],"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":[0.00017673704,0.00006625543,0.950905,0.0007313763,0.004691582,0.00001735779,0.00023109296,0.0015950095,0.024299448,0.00019533193,0.0007355933,0.01635518],"study_design_scores_gemma":[0.0013689862,0.00009140148,0.9715974,0.000898386,0.0017217888,0.00000936788,0.0001008493,0.004690968,0.015327492,0.0030273222,0.00093726063,0.00022879062],"about_ca_topic_score_codex":0.0023786093,"about_ca_topic_score_gemma":0.00043951988,"teacher_disagreement_score":0.02069235,"about_ca_system_score_codex":0.0001513199,"about_ca_system_score_gemma":0.0002054796,"threshold_uncertainty_score":0.7674867},"labels":[],"label_agreement":null},{"id":"W4362523816","doi":"10.1158/1055-9965.epi-22-0724","title":"Exploring the Complex Relationship between Gut Microbiota and Risk of Colorectal Neoplasia Using Bidirectional Mendelian Randomization Analysis","year":2023,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Gut microbiota and health","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":"Centre for Global Health Research","funders":"Natural Science Foundation of Zhejiang Province; Medical Research Council; Cancer Research UK; Vetenskapsrådet; Hjärt-Lungfonden; Cancerfonden; Science Fund for Distinguished Young Scholars of Zhejiang Province; National Natural Science Foundation of China","keywords":"Mendelian randomization; Colorectal cancer; Gut flora; Biology; Metabolome; Microbiome; Gammaproteobacteria; Genetics; Cancer; Bioinformatics; Immunology; Metabolomics; Gene; Genotype; Genetic variants","score_opus":0.36281131930108523,"score_gpt":0.44422457898832307,"score_spread":0.08141325968723784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362523816","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":[0.06596604,0.9284553,0.0029335287,0.00036058054,0.00045515073,0.0012640627,0.0005279143,0.000030688865,0.00000674841],"genre_scores_gemma":[0.0032561175,0.9911659,0.0013311894,0.000053451316,0.00032213615,0.0002667589,0.0034574436,0.000048702706,0.00009829757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99460053,0.0030505345,0.0012447197,0.0006777278,0.00007093161,0.0003555506],"domain_scores_gemma":[0.99678844,0.0011990089,0.0014991038,0.00034225368,0.00009626473,0.00007492574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028333624,0.00035672556,0.0015137242,0.00042832474,0.0003411593,0.000010900609,0.00020458385,0.00054467923,0.000012586963],"category_scores_gemma":[0.0006870926,0.00028074914,0.000801656,0.00090292527,0.00028937944,0.000011390921,0.00013382934,0.0003417582,0.0000034076693],"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":[0.0005291491,0.000068521585,0.6835755,0.008125409,0.038619872,0.00000193124,0.00012865421,0.00052066526,0.0044027483,0.00008151762,0.0067971987,0.25714886],"study_design_scores_gemma":[0.0019173562,0.00020573386,0.6917559,0.002965058,0.0329592,0.00003743739,0.00006685496,0.00038725752,0.00004439239,0.00029528397,0.26844177,0.0009237633],"about_ca_topic_score_codex":0.0005129061,"about_ca_topic_score_gemma":0.00050076714,"teacher_disagreement_score":0.26164457,"about_ca_system_score_codex":0.00012678787,"about_ca_system_score_gemma":0.00030389766,"threshold_uncertainty_score":0.9999645},"labels":[],"label_agreement":null},{"id":"W4377694088","doi":"10.1158/1055-9965.epi-22-1316","title":"Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma","year":2023,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"University of Ottawa; Ottawa Public Health; Centre for Global Health Research","funders":"Medical Research Council; Queen's University Belfast; Queen's University; Science Fund for Distinguished Young Scholars of Zhejiang Province; National Natural Science Foundation of China; Cancer Research UK","keywords":"Medicine; Colorectal cancer; Colorectal adenoma; Overweight; Red meat; Family history; Risk factor; Internal medicine; Vitamin D and neurology; Oncology; Cancer; Environmental health; Body mass index; Pathology","score_opus":0.0546482392048065,"score_gpt":0.3676816077459384,"score_spread":0.3130333685411319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377694088","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":[0.43916574,0.5595146,0.000028954799,0.000024568297,0.00027706067,0.0006851641,0.00027336966,0.000025429674,0.0000051304605],"genre_scores_gemma":[0.12963392,0.86937535,0.0003064849,0.000009890525,0.00007465407,0.00031031462,0.00010031811,0.000048270143,0.0001408057],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99708515,0.0005621345,0.0011792331,0.0007038064,0.0001399666,0.000329694],"domain_scores_gemma":[0.99676526,0.0012691469,0.0015130601,0.00025360292,0.000027669592,0.00017127705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005814158,0.00042341283,0.0023012548,0.0003473868,0.000078171535,0.000003026717,0.00009761684,0.00062758045,0.000095635376],"category_scores_gemma":[0.00037499427,0.00036513634,0.00047050943,0.00026065868,0.00041337215,0.000053228676,0.00010699417,0.00038833806,0.0000018436336],"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":[0.0010825032,0.000032767002,0.20474142,0.004784263,0.0013832751,0.000004952056,0.00006387923,0.0000013623738,0.00003785253,6.50232e-7,0.00015849844,0.7877086],"study_design_scores_gemma":[0.0013939005,0.0053141066,0.95388454,0.01661585,0.0063182386,0.0001111022,0.00011775039,0.00008122832,0.00022265085,0.00023255675,0.015126864,0.00058122544],"about_ca_topic_score_codex":0.0019355942,"about_ca_topic_score_gemma":0.00031660582,"teacher_disagreement_score":0.7871274,"about_ca_system_score_codex":0.00024476333,"about_ca_system_score_gemma":0.00019265145,"threshold_uncertainty_score":0.9998801},"labels":[],"label_agreement":null},{"id":"W4377862239","doi":"10.1158/1055-9965.epi-23-0121","title":"Folate Intake and Ovarian Cancer Risk among Women with Endometriosis: A Case–Control Study from the Ovarian Cancer Association Consortium","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":7,"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 and Materiel Command; Congressionally Directed Medical Research Programs; National Center for Research Resources; National Cancer Institute; Medical Research Council; Peter MacCallum Foundation; Rutgers Cancer Institute of New Jersey; Radboud Universiteit; Ovarian Cancer Research Fund; Cancer Australia; National Institute for Health and Care Research; U.S. Department of Defense; Lon V. Smith Foundation; Fred C. and Katherine B. Andersen Foundation; Ovarian Cancer Australia; Cancer Research UK; Wellcome Trust; University of Cambridge; University of Pittsburgh; Mayo Foundation for Medical Education and Research; California Breast Cancer Research Program; National Health and Medical Research Council; AstraZeneca; National Institutes of Health; Minnesota Ovarian Cancer Alliance; European Commission; Canadian Institutes of Health Research; National Science Foundation","keywords":"Medicine; Ovarian cancer; Endometriosis; Odds ratio; Case-control study; Oncology; Cancer; Gynecology; Internal medicine; Logistic regression; Obstetrics; Physiology","score_opus":0.03621525280442708,"score_gpt":0.35507877137244054,"score_spread":0.3188635185680135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377862239","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":[0.974316,0.014205469,0.0002810498,0.00634595,0.00044819093,0.003541334,0.0006792548,0.00014398586,0.000038788075],"genre_scores_gemma":[0.9762631,0.014933765,0.00014143766,0.00048026905,0.00032954884,0.0071982583,0.000060840837,0.00004836282,0.000544395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939158,0.0029968468,0.00080002635,0.000893756,0.0003885142,0.0010050477],"domain_scores_gemma":[0.9880166,0.009999418,0.0008561172,0.0004908264,0.0002427064,0.00039435344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0060876366,0.00038596964,0.0010479974,0.00045857945,0.00047057212,0.00004173688,0.00015038025,0.0002733793,0.00061453937],"category_scores_gemma":[0.0070736404,0.00024831804,0.00017228413,0.001556962,0.00022715483,0.00018623423,0.000091995396,0.00053478417,0.00001639542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022581522,0.00019958024,0.89686716,0.000029964858,0.012516855,0.00026698146,0.0007790432,0.000032441636,0.00007998747,0.000006960298,0.0018794159,0.08508344],"study_design_scores_gemma":[0.013874655,0.0012311422,0.97871107,0.00024814898,0.002219812,0.00002403655,0.0015055126,0.0005324884,0.00003362309,0.00051270786,0.00087345124,0.00023336084],"about_ca_topic_score_codex":0.055885814,"about_ca_topic_score_gemma":0.036533974,"teacher_disagreement_score":0.08485008,"about_ca_system_score_codex":0.001864756,"about_ca_system_score_gemma":0.00039345786,"threshold_uncertainty_score":0.9999969},"labels":[],"label_agreement":null},{"id":"W4378966206","doi":"10.1158/1538-7755.asgcr23-abstract-35","title":"Abstract 35: Examining Levels of Awareness, Barriers and Enablers Regarding the Cervical Cancer Prevention and Treatment Pathway for Patients and Health Providers in Tanzania: A Qualitative Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"HealthForceOntario; Queen's University","funders":"","keywords":"Tanzania; Cervical cancer; Health care; Focus group; Medicine; Qualitative research; Nursing; Family medicine; Cancer screening; Cancer; Business; Political science","score_opus":0.24926806028029108,"score_gpt":0.49441122326337966,"score_spread":0.24514316298308858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378966206","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":[0.98523736,0.0062191426,0.000101910024,0.004797187,0.00013717431,0.0033655718,0.00009323269,0.000025083324,0.000023360613],"genre_scores_gemma":[0.99472773,0.0032099371,0.00011607488,0.00017348735,0.00004752653,0.0015482651,0.00005771859,0.000022462296,0.000096810974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970829,0.000953428,0.0007323389,0.00060062436,0.00016682301,0.00046388613],"domain_scores_gemma":[0.99793446,0.0012285865,0.0003411007,0.00016181452,0.00012393661,0.00021009981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045606233,0.00021410023,0.000751347,0.00021327019,0.0002121928,0.00001196986,0.00005974995,0.00013516835,0.00006173531],"category_scores_gemma":[0.00065576314,0.0001532149,0.00008182811,0.00032012924,0.000293061,0.00014069381,0.00007265075,0.00015439712,2.0647214e-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":[0.0011400124,0.00013528673,0.74238336,0.0006156691,0.00045043492,0.0000015432026,0.009189385,0.00001097577,0.000073692936,0.000033074684,0.00028325868,0.24568331],"study_design_scores_gemma":[0.0058148545,0.0022251948,0.97223604,0.00033646953,0.000116473784,9.493945e-7,0.017070951,0.00046267456,0.00003746803,0.0014562667,0.000117242176,0.00012544039],"about_ca_topic_score_codex":0.005125352,"about_ca_topic_score_gemma":0.007992239,"teacher_disagreement_score":0.24555787,"about_ca_system_score_codex":0.0004764036,"about_ca_system_score_gemma":0.0005914026,"threshold_uncertainty_score":0.77480334},"labels":[],"label_agreement":null},{"id":"W4378966290","doi":"10.1158/1538-7755.asgcr23-abstract-85","title":"Abstract 85: The Social and Economic Impact of a Cervical Cancer Diagnosis on Women and Children in Uganda","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Cervical cancer; Medicine; Cancer; Descriptive statistics; Family medicine; Gynecology; Demography; Internal medicine","score_opus":0.07836100361187966,"score_gpt":0.4524277933424879,"score_spread":0.37406678973060825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378966290","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":[0.9858434,0.0039971373,0.0000010836421,0.009232733,0.000089997804,0.00050849735,0.0000990489,0.000019500321,0.00020859782],"genre_scores_gemma":[0.9896782,0.008897035,0.000005093634,0.00030240527,0.0002114678,0.000789584,0.000037724698,0.000015393367,0.00006311673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984659,0.0002529974,0.000406419,0.0003599788,0.00008527874,0.0004294173],"domain_scores_gemma":[0.99889857,0.0006602809,0.00013789673,0.00013963584,0.000028593196,0.00013501749],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00157465,0.00014917298,0.00051034975,0.00017615414,0.000088974455,0.000006074979,0.000083010505,0.00017930732,0.0018455305],"category_scores_gemma":[0.000174601,0.00010178415,0.00016862155,0.00020224298,0.00039603972,0.000049600705,0.00007649484,0.00025687154,0.000007666083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010977782,0.000033071035,0.87714237,0.00008131909,0.00042349883,0.0000016296966,0.0003305092,0.000023524386,0.00004439501,0.000048154485,0.0048592873,0.11591444],"study_design_scores_gemma":[0.0016493177,0.0002824717,0.99474746,0.000070195565,0.000045923636,0.0000025249626,0.00007893625,0.00024312969,0.000025166313,0.0026351504,0.00013059624,0.000089123634],"about_ca_topic_score_codex":0.008692257,"about_ca_topic_score_gemma":0.0025885624,"teacher_disagreement_score":0.117605075,"about_ca_system_score_codex":0.00069898454,"about_ca_system_score_gemma":0.00026675253,"threshold_uncertainty_score":0.9990669},"labels":[],"label_agreement":null},{"id":"W4378982978","doi":"10.1158/1538-7755.asgcr23-abstract-31","title":"Abstract 31: Does Receipt of Resource-Adapted Guideline-Concordant Breast Cancer Care Improve Outcomes? A Retrospective Study of 517 Breast Cancer Patients in Southwest Nigeria","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Concordance; Breast cancer; Guideline; Referral; Retrospective cohort study; Internal medicine; Stage (stratigraphy); Cancer; Metastatic breast cancer; Family medicine; Pathology","score_opus":0.03058256711460901,"score_gpt":0.3132665829027782,"score_spread":0.2826840157881692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378982978","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":[0.9840052,0.0024925296,0.00003073481,0.0015120754,0.002131685,0.001418911,0.007952491,0.000058386384,0.00039797885],"genre_scores_gemma":[0.99646527,0.0019247886,0.0000842757,0.00019350064,0.00021241393,0.0006043946,0.00017943972,0.00006906937,0.00026685646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944491,0.00017218043,0.0033446602,0.0011414449,0.00009360942,0.00079901755],"domain_scores_gemma":[0.9952774,0.00019702819,0.0033534977,0.00062901754,0.00037468315,0.00016839289],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002156164,0.0004872927,0.0020691252,0.0006953759,0.00011431168,0.000013052202,0.00044947767,0.00041555983,0.0005023709],"category_scores_gemma":[0.0004047715,0.00045969145,0.00041805295,0.0007003895,0.00025858148,0.0003904952,0.00017236611,0.0003482643,0.000023005987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000767819,0.00034159052,0.9851369,0.00013446168,0.00064049364,0.0000022109882,0.0015355382,0.00036599307,0.0000995385,0.00026824966,0.0022824453,0.00842473],"study_design_scores_gemma":[0.0034253318,0.00023348596,0.99006766,0.00028626077,0.00006282421,5.686526e-7,0.002131621,0.00012343026,0.000038228154,0.0025445733,0.0006189845,0.0004670475],"about_ca_topic_score_codex":0.06846934,"about_ca_topic_score_gemma":0.041226193,"teacher_disagreement_score":0.027243145,"about_ca_system_score_codex":0.0014885484,"about_ca_system_score_gemma":0.00028891495,"threshold_uncertainty_score":0.9997855},"labels":[],"label_agreement":null},{"id":"W4378983023","doi":"10.1158/1538-7755.asgcr23-abstract-90","title":"Abstract 90: Understanding the Self-Collection Preferences of Women Living in Rwanda","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"BC Centre for Disease Control; Women's Health Research Institute; University of British Columbia","funders":"","keywords":"Medicine; Data collection; Rural area; Cervical cancer; Feeling; Descriptive statistics; Demographics; Demography; Socioeconomics; Gerontology; Cancer; Psychology","score_opus":0.15448741311009306,"score_gpt":0.4180146203364336,"score_spread":0.26352720722634054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378983023","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":[0.9874274,0.002035147,0.00043254413,0.003974874,0.0005291135,0.0007557354,0.000004533466,0.000104967905,0.004735655],"genre_scores_gemma":[0.9961386,0.0029568586,0.00006139181,0.00009180868,0.00010913607,0.0002885546,0.000014414284,0.000012332496,0.0003269021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979933,0.00047094843,0.0005226532,0.00031002914,0.00017415667,0.00052891264],"domain_scores_gemma":[0.99784166,0.0016035617,0.00018841082,0.00019485968,0.00006701244,0.00010448954],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0054280264,0.000118865544,0.00040988423,0.00029585717,0.00011813926,0.0000058821815,0.00011959907,0.00016539423,0.0015114505],"category_scores_gemma":[0.0009569352,0.000084967025,0.0001255794,0.0009196579,0.00017291363,0.000079952355,0.00006378226,0.00027352208,0.000013284591],"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":[0.0009976791,0.000142854,0.9276121,0.00070907676,0.00058105454,0.0000050394733,0.0025389185,0.00010261514,0.0007900222,0.00064058317,0.0056186435,0.060261365],"study_design_scores_gemma":[0.00063494086,0.0001902824,0.97938025,0.00025670553,0.00003832672,0.000001721284,0.0020746647,0.0011216914,0.00007830736,0.01575918,0.00038825837,0.00007567965],"about_ca_topic_score_codex":0.0006986774,"about_ca_topic_score_gemma":0.0013203801,"teacher_disagreement_score":0.060185686,"about_ca_system_score_codex":0.0014504388,"about_ca_system_score_gemma":0.00037174975,"threshold_uncertainty_score":0.99940133},"labels":[],"label_agreement":null},{"id":"W4378983152","doi":"10.1158/1538-7755.asgcr23-abstract-47","title":"Abstract 47: Human Papillomavirus (HPV) Cervical Cancer Screening and Secondary Prevention in Côte d’Ivoire: Time From Testing to Treatment","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Hospital for Sick Children","funders":"","keywords":"Medicine; Cervical cancer; Logistic regression; Christian ministry; Human papillomavirus; Family medicine; Cancer; Gynecology; Demography; Internal medicine","score_opus":0.16463814095085788,"score_gpt":0.4482263450920694,"score_spread":0.2835882041412115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378983152","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":[0.98011553,0.009038606,0.00014101963,0.0065908134,0.00025924493,0.001468865,0.0001213961,0.00021121054,0.0020533004],"genre_scores_gemma":[0.9886823,0.0021317985,0.0024032907,0.00094519195,0.0007957488,0.0014053024,0.000805099,0.000084149666,0.0027470808],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965521,0.0005137366,0.00090179936,0.0009828783,0.00023302286,0.0008164505],"domain_scores_gemma":[0.9979156,0.0009562528,0.000221977,0.0003566228,0.00011475759,0.00043477607],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001774457,0.00034588293,0.0008905911,0.00040504444,0.00021819031,0.000020854846,0.00014218062,0.00034346886,0.0055222153],"category_scores_gemma":[0.00046748127,0.00031604315,0.0002171429,0.0007737154,0.0001700723,0.0001584686,0.0001659228,0.00039983183,0.00011794665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071526173,0.00010580615,0.34570178,0.00012990595,0.00035717123,0.000038823313,0.00012250953,0.00005207528,0.009279153,0.000014006703,0.0021169882,0.64136654],"study_design_scores_gemma":[0.0030958988,0.0005957585,0.9864055,0.00054007204,0.00017407739,0.000004792786,0.00006844413,0.0013051736,0.000504071,0.003343367,0.0036817314,0.00028109763],"about_ca_topic_score_codex":0.013391244,"about_ca_topic_score_gemma":0.006638517,"teacher_disagreement_score":0.64108545,"about_ca_system_score_codex":0.00074133265,"about_ca_system_score_gemma":0.00034216515,"threshold_uncertainty_score":0.9999292},"labels":[],"label_agreement":null},{"id":"W4378983368","doi":"10.1158/1538-7755.asgcr23-abstract-12","title":"Abstract 12: Barriers in Delivery of Results and Treatment of Women Tested Positive for HPV in Burkina Faso","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Hospital for Sick Children","funders":"","keywords":"Medicine; Receipt; Context (archaeology); Cervical cancer; Family medicine; Christian ministry; Health facility; Phone; Nursing; Environmental health; Health services; Population; Cancer; Geography; Business","score_opus":0.0773777251979142,"score_gpt":0.409831809834305,"score_spread":0.3324540846363908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378983368","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":[0.9942402,0.0025722985,0.000013951634,0.0014625114,0.00007821171,0.0010458713,0.00013729515,0.000013148059,0.00043649756],"genre_scores_gemma":[0.99491143,0.0041051735,0.00013681439,0.00005262083,0.000035335175,0.00042521243,0.00016671442,0.000011573635,0.00015510217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998211,0.00022765037,0.00069595623,0.00034959457,0.00008444951,0.0004313246],"domain_scores_gemma":[0.9979828,0.0014133407,0.00019635337,0.00015724069,0.000095606636,0.00015465259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019884715,0.00012577676,0.0006498098,0.0003828825,0.000022160668,0.0000011687064,0.000049978476,0.00017193837,0.00014013956],"category_scores_gemma":[0.0009933781,0.00010904844,0.00011150688,0.00036315946,0.0002134745,0.000046569403,0.000025543623,0.00007857487,9.3032713e-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":[0.016520876,0.0001916852,0.62949026,0.00047849232,0.00038236068,0.000016090165,0.0013219169,0.00004544882,0.00420545,0.000051508254,0.0005335093,0.34676242],"study_design_scores_gemma":[0.0067154705,0.0013936089,0.9875477,0.00018783186,0.000040386883,0.0000012719793,0.0005750919,0.0005691929,0.0012658229,0.0013279248,0.00029799328,0.0000776813],"about_ca_topic_score_codex":0.002951424,"about_ca_topic_score_gemma":0.0021293322,"teacher_disagreement_score":0.35805747,"about_ca_system_score_codex":0.0008070862,"about_ca_system_score_gemma":0.00028213442,"threshold_uncertainty_score":0.446169},"labels":[],"label_agreement":null},{"id":"W4379011729","doi":"10.1158/1538-7755.asgcr23-abstract-58","title":"Abstract 58: Leaving Cancer Patients Behind for Greener Pastures: The Clinical Oncology Workforce in Nigeria","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Workload; Medicine; Mentorship; Remuneration; Salary; Population; Family medicine; Nursing; Promotion (chess); Medical education; Business; Political science; Environmental health; Management","score_opus":0.151280834585349,"score_gpt":0.539530761347369,"score_spread":0.38824992676201997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379011729","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":[0.93257487,0.016739432,0.0022618552,0.035453577,0.009455735,0.0028743008,0.000046650784,0.0001496122,0.00044396424],"genre_scores_gemma":[0.9127257,0.04360791,0.0064599747,0.017502103,0.0053508985,0.0051103467,0.0006780159,0.00015107679,0.0084139705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650675,0.00085837423,0.0012328259,0.00063482404,0.00010233343,0.00066490984],"domain_scores_gemma":[0.99482524,0.0039532306,0.0006577372,0.00032780247,0.00010791379,0.00012809507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048741302,0.00024719848,0.0008983448,0.00015552627,0.00021158162,0.0000033702422,0.00022786422,0.0007542942,0.00022198184],"category_scores_gemma":[0.0015731688,0.00016975144,0.0003757583,0.000273468,0.00061123393,0.000107466985,0.000053963064,0.00055313803,0.000017590917],"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":[0.0016073287,0.0001658519,0.6532793,0.000042834352,0.00033620477,0.0000062435506,0.00020575046,0.00016599985,0.00006723849,0.000049247115,0.038128912,0.3059451],"study_design_scores_gemma":[0.0037572924,0.0006049702,0.84765774,0.0003124147,0.00011325267,0.000003179771,0.00012325856,0.00032848684,0.000015371425,0.0037920738,0.1431256,0.00016634841],"about_ca_topic_score_codex":0.00016429956,"about_ca_topic_score_gemma":0.0034346587,"teacher_disagreement_score":0.30577877,"about_ca_system_score_codex":0.000571739,"about_ca_system_score_gemma":0.0004448989,"threshold_uncertainty_score":0.6922263},"labels":[],"label_agreement":null},{"id":"W4379011884","doi":"10.1158/1538-7755.asgcr23-abstract-3","title":"Abstract 3: Adapting a Tobacco Cessation Treatment Intervention and Implementation Strategies to Enhance Implementation Effectiveness and Clinical Outcomes in the Context of HIV Care in Viet Nam: A Case Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","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":"York University","funders":"","keywords":"Medicine; Quitline; Smoking cessation; Context (archaeology); Psychological intervention; Nicotine replacement therapy; Population; Motivational interviewing; Family medicine; Abstinence; Randomized controlled trial; Intervention (counseling); Psychiatry; Environmental health; Internal medicine","score_opus":0.07954823758116238,"score_gpt":0.5222180607839506,"score_spread":0.44266982320278825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379011884","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":[0.9941221,0.0016611756,0.0001561206,0.0005170176,0.00015927927,0.0033392962,0.000026728674,0.000016116368,0.000002198167],"genre_scores_gemma":[0.9979543,0.0010259262,0.00006472577,0.00004634635,0.000028073842,0.0007159462,0.00015421963,0.0000090452395,0.000001413203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964938,0.0018205964,0.0009676259,0.0003885799,0.00010242919,0.00022693648],"domain_scores_gemma":[0.9984422,0.00096602045,0.00030859295,0.00016081196,0.00006143043,0.000060962575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005062613,0.00015342586,0.00057588913,0.0002533544,0.000067605724,0.0000091657,0.00003354844,0.00009287574,0.000008801641],"category_scores_gemma":[0.00015579411,0.00011189071,0.00016805157,0.00027263383,0.000052625976,0.00013939461,0.000026856238,0.00010611077,7.1876656e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034203986,0.00009319383,0.67351085,0.00015101997,0.00022658621,0.000035568177,0.00371282,0.000008240497,0.000040559447,0.000006682852,0.000008859097,0.3218636],"study_design_scores_gemma":[0.0035549991,0.0010138147,0.8001348,0.00018284649,0.0001763152,0.000019003437,0.19472075,0.000022705093,0.00004297409,0.00004701414,0.000017849075,0.00006695879],"about_ca_topic_score_codex":0.020192698,"about_ca_topic_score_gemma":0.1205052,"teacher_disagreement_score":0.32179663,"about_ca_system_score_codex":0.00028045799,"about_ca_system_score_gemma":0.00011160303,"threshold_uncertainty_score":0.98633194},"labels":[],"label_agreement":null},{"id":"W4379012141","doi":"10.1158/1538-7755.asgcr23-abstract-64","title":"Abstract 64: Multilevel Barriers and Facilitators of Smoking Cessation in People Living With HIV in Vietnam: A Qualitative Analysis","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Smoking cessation; Facilitator; Medicine; Thematic analysis; Qualitative research; Family medicine; Human immunodeficiency virus (HIV); Psychology; Social psychology","score_opus":0.06188998833119433,"score_gpt":0.4124430380757635,"score_spread":0.35055304974456913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379012141","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":[0.9972154,0.00029613302,0.0014875926,0.0004941313,0.00007437387,0.00034779817,0.000025194382,0.00003506752,0.000024296934],"genre_scores_gemma":[0.99908656,0.00021829037,0.00024230566,0.000032957796,0.000011411615,0.00018340109,0.0001631656,0.000012324522,0.000049556835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977835,0.00066970405,0.00069847313,0.0004189001,0.00015081461,0.0002786343],"domain_scores_gemma":[0.9982572,0.0010462145,0.0003731713,0.00016402976,0.00007424403,0.00008510174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004168647,0.0001572603,0.0006143081,0.00096869434,0.000046350837,0.0000035964981,0.0000499275,0.00019487565,0.0001142007],"category_scores_gemma":[0.001134369,0.00014296662,0.00011580269,0.0014133407,0.00014578931,0.00016064272,0.000023340843,0.00018219811,5.886734e-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":[0.00017727763,0.000030242634,0.98420095,0.00015416027,0.00040439973,0.0000028540421,0.009174031,0.000546663,0.0004182,0.000022393575,0.000045518016,0.004823326],"study_design_scores_gemma":[0.0011437216,0.00006893697,0.9817911,0.00072128396,0.00042901226,0.0000010689124,0.013007087,0.0023829872,0.00006246199,0.00026308067,0.0000033059455,0.00012595988],"about_ca_topic_score_codex":0.0021785442,"about_ca_topic_score_gemma":0.0028451683,"teacher_disagreement_score":0.004697366,"about_ca_system_score_codex":0.00027410276,"about_ca_system_score_gemma":0.00011992374,"threshold_uncertainty_score":0.5830009},"labels":[],"label_agreement":null},{"id":"W4379012270","doi":"10.1158/1538-7755.asgcr23-abstract-36","title":"Abstract 36: Examining Policies and Guidelines to Improve the Cervical Cancer Prevention and Treatment Pathway for Patients and Health Providers in Tanzania: A Qualitative Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"HealthForceOntario; Queen's University","funders":"","keywords":"Tanzania; Cervical cancer; Medicine; Health care; Focus group; Family medicine; Nursing; Qualitative research; Cancer; Business; Political science; Socioeconomics","score_opus":0.2648396939064452,"score_gpt":0.5333630638932819,"score_spread":0.26852336998683674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379012270","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":[0.9535872,0.006766392,0.00009191562,0.034198377,0.00017037032,0.0050531123,0.000077526056,0.00003610553,0.000019051535],"genre_scores_gemma":[0.99025834,0.004115537,0.00030710656,0.0010906467,0.00014642112,0.0037105235,0.000073498166,0.000025279849,0.00027265446],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99730605,0.0006279585,0.0007705359,0.0006384274,0.00015046283,0.0005065733],"domain_scores_gemma":[0.9982418,0.0009506788,0.00022111858,0.0001686756,0.00019022086,0.00022750687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038199797,0.00022603394,0.000637899,0.0002181984,0.00019098581,0.00001979271,0.00005998085,0.00011595696,0.00003116354],"category_scores_gemma":[0.00078619766,0.00015379884,0.00006805742,0.00030908582,0.00016653912,0.00010258498,0.00009982685,0.00013262163,9.509232e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013671997,0.00021842649,0.40513414,0.00029723495,0.000299616,0.0000011264946,0.009992212,0.0000052278347,0.00008963437,0.000033607274,0.0017282872,0.58083326],"study_design_scores_gemma":[0.0042157215,0.0039721923,0.9786743,0.00021840705,0.000081501414,9.0714616e-7,0.010266917,0.00035761623,0.000017335266,0.001562074,0.00049837574,0.00013467779],"about_ca_topic_score_codex":0.010603603,"about_ca_topic_score_gemma":0.020459646,"teacher_disagreement_score":0.5806986,"about_ca_system_score_codex":0.00044135473,"about_ca_system_score_gemma":0.0003137456,"threshold_uncertainty_score":0.9974144},"labels":[],"label_agreement":null},{"id":"W4379012313","doi":"10.1158/1538-7755.asgcr23-abstract-96","title":"Abstract 96: When Canada is a Under-Resourced Country: Patient-Oriented Research on Optimizing Rational Decision-Making for Bladder Cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","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 British Columbia","funders":"","keywords":"Psychological intervention; Medicine; Bladder cancer; Citation; Quality (philosophy); Cancer; Family medicine; Intensive care medicine; Nursing; Political science; Internal medicine","score_opus":0.1273503175271964,"score_gpt":0.4480561198583872,"score_spread":0.32070580233119084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379012313","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":[0.8907827,0.014131925,0.009447462,0.06671946,0.006441563,0.007846182,0.0023955044,0.00043598478,0.0017991854],"genre_scores_gemma":[0.97338635,0.0012479329,0.0059724813,0.011609154,0.0008280697,0.0036573634,0.0011307361,0.00014178154,0.0020261533],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99642736,0.00034335526,0.00079951296,0.00089586055,0.0006008519,0.0009330636],"domain_scores_gemma":[0.9958219,0.0027565204,0.00032147337,0.00042460268,0.00043269934,0.00024280777],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016447204,0.00032550632,0.0006103112,0.00036530694,0.0005039778,0.000017439634,0.00016465389,0.00029341015,0.0011333762],"category_scores_gemma":[0.00075470627,0.000288031,0.00022366585,0.00060925254,0.00017410242,0.000105512765,0.00007181976,0.00035836454,0.00002309408],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063167117,0.00020609707,0.03362436,0.00020047656,0.0024925533,0.00003511993,0.0004758495,0.0030759687,0.0006656434,0.00042488388,0.84613985,0.10634248],"study_design_scores_gemma":[0.0183642,0.0028263193,0.51426643,0.009136459,0.0014463788,0.000035061043,0.003895681,0.0206795,0.0022549753,0.040954255,0.3844136,0.0017271201],"about_ca_topic_score_codex":0.09126719,"about_ca_topic_score_gemma":0.10428262,"teacher_disagreement_score":0.48064208,"about_ca_system_score_codex":0.0018545269,"about_ca_system_score_gemma":0.0022459335,"threshold_uncertainty_score":0.9999572},"labels":[],"label_agreement":null},{"id":"W4379983944","doi":"10.1158/1055-9965.epi-22-1324","title":"Diabetes and Prostate Cancer Outcomes in Men with Nonmetastatic Castration-Resistant Prostate Cancer: Results from the SEARCH Cohort","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","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":"University of Calgary","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Prostate cancer; Diabetes mellitus; Proportional hazards model; Internal medicine; Oncology; Cancer; Cohort; Gynecology; Veterans Affairs; Prostate; Endocrinology","score_opus":0.05847743160792718,"score_gpt":0.38618403351944536,"score_spread":0.3277066019115182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379983944","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":[0.939085,0.013921946,0.0000056649606,0.042413764,0.00020243919,0.0031900627,0.000993632,0.00008519575,0.000102260135],"genre_scores_gemma":[0.95501184,0.03263395,0.00031347974,0.00046344244,0.00012219678,0.0041990434,0.0013085359,0.000060824143,0.005886674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960677,0.0008848871,0.00083550776,0.0009223603,0.00035720647,0.0009323058],"domain_scores_gemma":[0.9973405,0.0015295633,0.00030372545,0.00044060804,0.00016684884,0.00021873701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002903548,0.0003627646,0.00084459846,0.00023116545,0.00025151472,0.00003220808,0.00016006507,0.00015011642,0.00008630508],"category_scores_gemma":[0.000315672,0.00021431323,0.0001115148,0.00076156086,0.00061998883,0.00019042888,0.0001020123,0.00038777164,0.000012398895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004039702,0.00007342364,0.9683423,0.0001470602,0.0016595669,0.00004622491,0.0011362489,0.00020952862,0.0022586554,0.000014388904,0.0051167742,0.016956102],"study_design_scores_gemma":[0.006350495,0.0003789423,0.98697364,0.0009908129,0.0003909455,0.0000016180551,0.00078461063,0.0018268364,0.0007433777,0.0008085872,0.00051053806,0.00023958039],"about_ca_topic_score_codex":0.015235036,"about_ca_topic_score_gemma":0.010100395,"teacher_disagreement_score":0.041950323,"about_ca_system_score_codex":0.00055840646,"about_ca_system_score_gemma":0.00076694373,"threshold_uncertainty_score":0.9913226},"labels":[],"label_agreement":null},{"id":"W4381469875","doi":"10.1158/1055-9965.epi-22-1228","title":"Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute on Drug Abuse; Centers for Disease Control and Prevention; Center for Tobacco Products; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Cut-point; Cut-off; Cotinine; Confidence interval; Medicine; Percentage point; Population; Receiver operating characteristic; Demography; Statistics; Nicotine; Mathematics; Internal medicine; Environmental health","score_opus":0.34758307182429937,"score_gpt":0.42927692703985515,"score_spread":0.08169385521555578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381469875","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":[0.99098897,0.00023738631,0.0044513736,0.0013724909,0.00053186197,0.0016857677,0.0006710057,0.000060296526,8.2424054e-7],"genre_scores_gemma":[0.9816631,0.00037435887,0.0010628101,0.0006545996,0.00023330821,0.00020556018,0.01574301,0.00003779065,0.00002548225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99609244,0.0017381785,0.0007807436,0.00077014527,0.00019614756,0.00042235313],"domain_scores_gemma":[0.9919756,0.00638495,0.00055249844,0.0009219768,0.000099339144,0.00006561744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044068014,0.00026363682,0.0005085651,0.0001584703,0.00032141758,0.000057598154,0.00023786674,0.00018408627,0.000052404983],"category_scores_gemma":[0.0022216374,0.0001746619,0.00008553846,0.00035684562,0.0001416033,0.0003186475,0.00028106695,0.00033236414,9.2480263e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035781352,0.00015590044,0.98855543,0.000024210172,0.0004314193,0.000023529417,0.0019883916,0.000032844662,0.0005115237,0.0000026159676,0.005159704,0.0027566166],"study_design_scores_gemma":[0.002181084,0.00018964762,0.911941,0.0005190578,0.0009853278,0.0000075151597,0.0040893373,0.079068206,0.00004645418,0.00071773055,0.000090846785,0.00016381494],"about_ca_topic_score_codex":0.0104126595,"about_ca_topic_score_gemma":0.0008522158,"teacher_disagreement_score":0.079035364,"about_ca_system_score_codex":0.00012526097,"about_ca_system_score_gemma":0.0000612795,"threshold_uncertainty_score":0.9961771},"labels":[],"label_agreement":null},{"id":"W4381715178","doi":"10.1158/1055-9965.epi-23-0453","title":"Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","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":"Lunenfeld-Tanenbaum Research Institute; University Health Network","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; Division of Cancer Epidemiology and Genetics, National Cancer Institute; World Health Organization","keywords":"Mendelian randomization; Pancreatic cancer; Nonalcoholic fatty liver disease; Internal medicine; Medicine; Genetic predisposition; Genome-wide association study; Gastroenterology; Cancer; Odds ratio; Genetic model; Oncology; Disease; Single-nucleotide polymorphism; Fatty liver; Genotype; Genetics; Biology; Genetic variants","score_opus":0.05687159724689582,"score_gpt":0.373787718171723,"score_spread":0.3169161209248272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381715178","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":[0.97126645,0.016909046,0.0033532805,0.0041051325,0.00031039154,0.0035704395,0.00036647185,0.00011022591,0.000008552421],"genre_scores_gemma":[0.9436796,0.045928843,0.0024316567,0.0008343867,0.00027725354,0.005996395,0.0005370599,0.00003754998,0.00027730665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777865,0.000497943,0.00049649016,0.00070487655,0.000105523555,0.0004164979],"domain_scores_gemma":[0.998286,0.0006121906,0.00021902515,0.00031756607,0.00012408604,0.00044110848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010048427,0.00023542315,0.0005889053,0.00017100567,0.00017832631,0.00000847431,0.000062532854,0.00011068799,0.00015625001],"category_scores_gemma":[0.00075556064,0.00019691614,0.00028076916,0.00027715837,0.00011163189,0.000065541215,0.000050151604,0.00006241768,0.000028067556],"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":[0.0031524138,0.00013544866,0.9211623,0.00030688167,0.0012493505,0.0000070013257,0.00007031897,0.00024007296,0.00010384273,0.000029061308,0.008057039,0.06548624],"study_design_scores_gemma":[0.005916442,0.0002213703,0.97934914,0.0003258185,0.0031894299,0.0000011903753,0.000023720195,0.008151816,0.0000578996,0.0017978649,0.00078787963,0.00017742386],"about_ca_topic_score_codex":0.0014074044,"about_ca_topic_score_gemma":0.000771747,"teacher_disagreement_score":0.06530882,"about_ca_system_score_codex":0.0002917816,"about_ca_system_score_gemma":0.00016098026,"threshold_uncertainty_score":0.8030007},"labels":[],"label_agreement":null},{"id":"W4382138988","doi":"10.1158/1055-9965.epi-23-0241","title":"Intake of Proton-Pump Inhibitors and Gastric Cancer within the Stomach Cancer Pooling (StoP) Project","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Gastroesophageal reflux and treatments","field":"Medicine","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":"Institute for Clinical Evaluative Sciences","funders":"Instituto de Salud Carlos III; Associazione Italiana per la Ricerca sul Cancro; Agència de Gestió d'Ajuts Universitaris i de Recerca; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana; Universidade do Porto; Universidad de Oviedo; Fondazione AIRC per la ricerca sul cancro ETS; Universidad de Cantabria; European Regional Development Fund; Universidad de Huelva; Fundación Científica Asociación Española Contra el Cáncer; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Medicine; Cancer; Odds ratio; Internal medicine; Confidence interval; Gastroenterology; Stomach; Proton-pump inhibitor; Stomach cancer; Oncology","score_opus":0.07357261668540042,"score_gpt":0.4078583623279688,"score_spread":0.33428574564256835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382138988","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":[0.98667115,0.00749893,0.00008722131,0.002263853,0.00072206557,0.0025384245,0.00005609554,0.00010082271,0.000061454164],"genre_scores_gemma":[0.99233985,0.0028676968,0.00042854305,0.00029516447,0.0002490801,0.002791829,0.000081601145,0.00003797704,0.0009082846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975034,0.0005123383,0.00074686744,0.0005499941,0.00018943883,0.00049793476],"domain_scores_gemma":[0.99857336,0.00028071686,0.0005942618,0.00029973214,0.00012534209,0.0001265677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016416524,0.00028281703,0.0006442462,0.00028552904,0.00015882375,0.0000061360947,0.00011838255,0.00019889482,0.00006695984],"category_scores_gemma":[0.00035247285,0.00018582398,0.00019323744,0.00072974316,0.00033606295,0.00009692631,0.000091914175,0.0002709868,0.000006761255],"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":[0.0004129663,0.00007091428,0.961516,0.00036258716,0.0010092321,0.000024489642,0.00030914103,0.00007747075,0.0018197314,0.000040357358,0.0021094736,0.032247633],"study_design_scores_gemma":[0.0027528221,0.0005806153,0.98605514,0.0010623179,0.00089948147,0.00004190569,0.0002578069,0.0015829294,0.0050895363,0.0009734991,0.00054446724,0.00015949042],"about_ca_topic_score_codex":0.0022433274,"about_ca_topic_score_gemma":0.00027801876,"teacher_disagreement_score":0.032088142,"about_ca_system_score_codex":0.00028191117,"about_ca_system_score_gemma":0.0004594261,"threshold_uncertainty_score":0.7577682},"labels":[],"label_agreement":null},{"id":"W4383187616","doi":"10.1158/1055-9965.epi-23-0326","title":"Cancer Incidence by Race and Immigration Status in Canada: Value of Enhanced Sociodemographic Data for Disease Surveillance","year":2023,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demography; Immigration; Incidence (geometry); Cancer; Population; Thyroid cancer; Medicine; Race (biology); Cancer registry; Census; Cancer incidence; Disease; Gerontology; Health equity; Environmental health; Public health; Geography; Pathology; Biology; Internal medicine","score_opus":0.09434234093270075,"score_gpt":0.39517549910714295,"score_spread":0.30083315817444223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383187616","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":[0.23015237,0.17026833,0.0065000257,0.5767604,0.002305488,0.0037461256,0.010168991,0.00008824124,0.000010002993],"genre_scores_gemma":[0.45025393,0.20120625,0.0032022644,0.2855013,0.0030602184,0.0048967674,0.049890578,0.00034353527,0.0016451508],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99516183,0.0008065849,0.0013260426,0.0013763459,0.00038413177,0.00094505795],"domain_scores_gemma":[0.9960587,0.00165446,0.0009184458,0.00088854,0.00025025837,0.00022960239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023272694,0.000464952,0.001501487,0.00023645043,0.00009685817,0.0000078217345,0.00041338668,0.0006089975,0.000035424117],"category_scores_gemma":[0.0012787328,0.00046316892,0.00018786397,0.0004909541,0.0003149309,0.00022593995,0.0001838539,0.0007431127,7.761718e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057731575,0.000009198774,0.40504676,0.000831745,0.0003495602,0.000016695505,0.000020095944,0.00004619844,0.00024552783,0.0000037303876,0.5857168,0.007136355],"study_design_scores_gemma":[0.0028730736,0.00025007894,0.88128585,0.005700909,0.0010164342,0.000005735577,0.00020446593,0.013040694,0.00013809217,0.0015808719,0.092920005,0.0009838117],"about_ca_topic_score_codex":0.801557,"about_ca_topic_score_gemma":0.85688555,"teacher_disagreement_score":0.4927968,"about_ca_system_score_codex":0.0015487794,"about_ca_system_score_gemma":0.005097087,"threshold_uncertainty_score":0.999782},"labels":[],"label_agreement":null},{"id":"W4383998835","doi":"10.1158/1055-9965.epi-23-0444","title":"Socioeconomic Status at Birth and Breast Tissue Composition in Adolescence and Adulthood","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Body mass index; Socioeconomic status; Medicine; Confidence interval; Demography; Breast cancer; Cohort study; Mass index; Obstetrics; Cancer; Internal medicine; Population","score_opus":0.021478971993428967,"score_gpt":0.3331714883785934,"score_spread":0.31169251638516443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383998835","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":[0.98973686,0.004922993,0.0001331819,0.0044731097,0.00015367243,0.0003409251,0.00004963693,0.000077550925,0.00011210406],"genre_scores_gemma":[0.9955958,0.0033268745,0.00026654333,0.0003791137,0.000055739536,0.00005514938,0.00016764349,0.0000138776795,0.00013923444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986624,0.00018698326,0.00033875526,0.00039629667,0.00004040009,0.00037517303],"domain_scores_gemma":[0.9994155,0.00016235354,0.00013087047,0.00011367249,0.000021354866,0.00015620502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000649975,0.00014167011,0.00034708413,0.00026561233,0.00007085935,0.000007670486,0.00003242357,0.000107467626,0.000037126043],"category_scores_gemma":[0.000032938347,0.00013878831,0.000060346913,0.00018608046,0.000273112,0.00017408861,0.00005859712,0.00010983594,0.000019823983],"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":[0.00029466653,0.000028622006,0.860678,0.00015459814,0.000073556184,0.000009553747,0.000076534096,0.0000024767048,0.001863243,0.00006872373,0.0012423873,0.13550764],"study_design_scores_gemma":[0.0012686276,0.000099220444,0.99473554,0.00047589556,0.000048108428,0.00017340177,0.000103699655,0.00064970466,0.00010350386,0.0018661767,0.00035118152,0.00012495264],"about_ca_topic_score_codex":0.00012396462,"about_ca_topic_score_gemma":0.000088416535,"teacher_disagreement_score":0.13538268,"about_ca_system_score_codex":0.00014969308,"about_ca_system_score_gemma":0.000041188374,"threshold_uncertainty_score":0.5659623},"labels":[],"label_agreement":null},{"id":"W4384283258","doi":"10.1158/1055-9965.epi-23-0227","title":"Body Composition, Relative Dose Intensity, and Adverse Events among Patients with Colon Cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutrition and Health in Aging","field":"Medicine","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":"University of British Columbia","funders":"National Cancer Institute; National Institutes of Health","keywords":"Adipose tissue; Medicine; Adverse effect; Colorectal cancer; Lean body mass; Internal medicine; Cancer; Urology; Body weight","score_opus":0.05315538115993469,"score_gpt":0.3893146291909918,"score_spread":0.3361592480310571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384283258","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":[0.988342,0.0008681398,0.00031783865,0.008414609,0.00062485837,0.0011420941,0.000037373047,0.00014637064,0.00010675509],"genre_scores_gemma":[0.9937925,0.0016368512,0.0009881614,0.0018497992,0.000117025826,0.00035668642,0.00056880113,0.000027734168,0.0006624714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998116,0.00038063407,0.0004994656,0.00046356223,0.00013685286,0.0004034603],"domain_scores_gemma":[0.99876356,0.00020764014,0.00035433212,0.00017574482,0.00026283355,0.00023591574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089286093,0.00019194122,0.00051479257,0.00023678767,0.00022131816,0.0000019993952,0.000051331208,0.00019667215,0.00012618513],"category_scores_gemma":[0.00012533338,0.0001645319,0.00008597276,0.0003664759,0.0002808811,0.0001881969,0.00006120364,0.0002571023,0.000023641602],"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":[0.0015563495,0.00010293518,0.98668474,0.00019905747,0.0003406318,0.0000065442623,0.00011518363,0.000008661784,0.00015414464,0.00009533805,0.008825035,0.0019113682],"study_design_scores_gemma":[0.004158043,0.00033372606,0.98978746,0.0014877359,0.00024847407,0.000005034952,0.00006329046,0.0006145429,0.000049324804,0.0022679376,0.0008257269,0.00015867713],"about_ca_topic_score_codex":0.000372279,"about_ca_topic_score_gemma":0.00018053956,"teacher_disagreement_score":0.007999308,"about_ca_system_score_codex":0.0003220507,"about_ca_system_score_gemma":0.00010365533,"threshold_uncertainty_score":0.6709416},"labels":[],"label_agreement":null},{"id":"W4385263661","doi":"10.1158/1055-9965.epi-23-0041","title":"Germline Mutations in 12 Genes and Risk of Ovarian Cancer in Three Population-Based Cohorts","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","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":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"National Cancer Institute; Centers for Disease Control and Prevention; National Institutes of Health; Brigham and Women's Hospital","keywords":"Ovarian cancer; Germline mutation; PALB2; Oncology; Odds ratio; Germline; Cancer; Medicine; Penetrance; Population; Internal medicine; Genetic testing; Confidence interval; Genetics; Mutation; Biology; Gynecology; Gene; Phenotype","score_opus":0.03308296023165354,"score_gpt":0.35352135924733147,"score_spread":0.32043839901567794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385263661","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":[0.9857523,0.009542326,0.0025858546,0.0010438174,0.00040168012,0.00048593385,0.00014755412,0.000018726485,0.00002179881],"genre_scores_gemma":[0.991533,0.0048894966,0.0020192377,0.000086157044,0.00010223847,0.0005989687,0.00066670455,0.00002451813,0.0000797138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979627,0.0005003026,0.0006636212,0.0005056929,0.00007187955,0.00029577976],"domain_scores_gemma":[0.9990365,0.00020703963,0.0003650334,0.00027515198,0.00006443556,0.00005184122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014441853,0.00016704424,0.00033790196,0.00030434827,0.00005964732,0.0000035567393,0.000112567555,0.00026971175,0.0000599421],"category_scores_gemma":[0.00040597346,0.00017824491,0.00009313096,0.0004304038,0.0001519579,0.000010232678,0.000054115233,0.00010706929,0.0000015006175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012501066,0.00002860039,0.93955064,0.0000439217,0.00015477843,0.0000012214227,0.000028044487,0.02811243,0.006369129,0.00004170478,0.00028010376,0.025264427],"study_design_scores_gemma":[0.0009970547,0.00005204905,0.9825294,0.00010887738,0.0000715019,0.0000010080572,0.000030253626,0.009512436,0.0017137058,0.004513768,0.00030257483,0.00016734791],"about_ca_topic_score_codex":0.0053946753,"about_ca_topic_score_gemma":0.06574012,"teacher_disagreement_score":0.06034545,"about_ca_system_score_codex":0.0001600949,"about_ca_system_score_gemma":0.00028006118,"threshold_uncertainty_score":0.9513077},"labels":[],"label_agreement":null},{"id":"W4385684770","doi":"10.1158/1055-9965.epi-23-0275","title":"Germline Genetic Variants Associated with Somatic <i>TMPRSS2:ERG</i> Fusion Status in Prostate Cancer: A Genome-Wide Association Study","year":2023,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"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":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute; Cancer Council Victoria; Canadian Institutes of Health Research; Manchester Biomedical Research Centre; National Heart, Lung, and Blood Institute; Vetenskapsrådet; Stockholms Läns Landsting; National Institute for Health and Care Research; Medical Research Council; Swedish Cancer Foundation; Breast Cancer Research Foundation; Petrus och Augusta Hedlunds Stiftelse; Ovarian Cancer Research Fund; Prostate Cancer Foundation of Australia; National Health and Medical Research Council; Cancer Research Institute; National Cancer Research Institute; Royal Marsden NHS Foundation Trust; National Institutes of Health; Rosetrees Trust; Pancreatic Cancer UK; Prostate Cancer Foundation; Cancer Research UK","keywords":"TMPRSS2; Prostate cancer; Genome-wide association study; Erg; Fusion gene; Single-nucleotide polymorphism; Biology; Oncology; Prostate; Cancer; Genetics; Internal medicine; Medicine; Gene; Disease; Genotype","score_opus":0.07576902736174657,"score_gpt":0.39384747827805056,"score_spread":0.318078450916304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385684770","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":[0.031639714,0.9550101,0.000022799426,0.000871842,0.0009777478,0.010669114,0.000553294,0.00022893635,0.000026434042],"genre_scores_gemma":[0.0014107929,0.9792754,0.00017533317,0.00026207967,0.00023978364,0.014071942,0.0027293963,0.00023539009,0.0015998966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99001193,0.0032543803,0.0028646362,0.0017495134,0.00052633684,0.0015932039],"domain_scores_gemma":[0.99191976,0.003034642,0.0035858657,0.0007652794,0.00029846551,0.00039596617],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003627861,0.0010982383,0.004957894,0.0007682908,0.0001920005,0.00003225422,0.00025506923,0.0007741504,0.00014856072],"category_scores_gemma":[0.002022449,0.0008513839,0.00069515815,0.0016876229,0.000114778675,0.0001507756,0.0001702582,0.00078995264,0.000058153997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029370422,0.001264464,0.7458921,0.005883771,0.007865604,0.00027404958,0.00025068852,0.00004686207,8.0547846e-7,0.000001087069,0.0017524167,0.23647447],"study_design_scores_gemma":[0.007843954,0.002129349,0.8627546,0.060158763,0.012970493,0.000010290602,0.00011382177,0.00011084815,6.151559e-7,0.00037620158,0.05250309,0.0010279912],"about_ca_topic_score_codex":0.0022413405,"about_ca_topic_score_gemma":0.0071096593,"teacher_disagreement_score":0.23544647,"about_ca_system_score_codex":0.009699016,"about_ca_system_score_gemma":0.0026859678,"threshold_uncertainty_score":0.9993937},"labels":[],"label_agreement":null},{"id":"W4386121684","doi":"10.1158/1055-9965.epi-23-0443","title":"“It's Probably Just Hemorrhoids”: A Qualitative Exploration of the Lived Experiences and Perceptions of Long-term Survivors of Early-Onset Colorectal Cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Frailty in Older Adults","field":"Medicine","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":"University of British Columbia","funders":"National Cancer Institute; National Institutes of Health; Huntsman Cancer Institute; Medical College of Wisconsin; V Foundation for Cancer Research","keywords":"Psychosocial; Survivorship curve; Medicine; Qualitative research; Population; Quality of life (healthcare); Psychological intervention; Colorectal cancer; Gerontology; Psychology; Cancer; Psychiatry; Nursing; Internal medicine; Environmental health","score_opus":0.1204897742512978,"score_gpt":0.434273034214092,"score_spread":0.3137832599627942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386121684","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":[0.9925419,0.0012940102,0.00044368624,0.0040202737,0.0005165204,0.0010596091,0.00006230258,0.00003119809,0.000030488967],"genre_scores_gemma":[0.99660826,0.0015720596,0.00043949357,0.00006843797,0.000044605546,0.0007906629,0.00008581775,0.0000160741,0.00037460076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969819,0.0013290003,0.00088395795,0.00036242942,0.00018243444,0.0002602391],"domain_scores_gemma":[0.9977417,0.0008773703,0.00077880675,0.0002527359,0.00027446242,0.00007489835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016234355,0.00017912802,0.0006351904,0.00017100714,0.000083744366,0.0000022853583,0.00014274367,0.00019035072,0.00015605662],"category_scores_gemma":[0.0010178922,0.00013548524,0.00019958735,0.00056708255,0.0012466296,0.00019837437,0.00008495847,0.0001330254,0.0000021366627],"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":[0.00066754775,0.00010509874,0.8751567,0.0005899027,0.00039504387,0.0000010892682,0.10346936,0.000025892798,0.012846856,0.00001888586,0.0015901838,0.0051334198],"study_design_scores_gemma":[0.0009142908,0.0005050564,0.94300485,0.0012154191,0.00023647933,0.0000060225243,0.046800245,0.00022307677,0.0063975137,0.0005711779,0.0000054214984,0.0001204291],"about_ca_topic_score_codex":0.0019890633,"about_ca_topic_score_gemma":0.0036045439,"teacher_disagreement_score":0.067848146,"about_ca_system_score_codex":0.00010453438,"about_ca_system_score_gemma":0.00024464607,"threshold_uncertainty_score":0.5524928},"labels":[],"label_agreement":null},{"id":"W4386121701","doi":"10.1158/1055-9965.epi-23-0772","title":"Prediagnostic Hormone Levels and Risk of Testicular Germ Cell Tumors: A Nested Case–Control Study in the Janus Serum Bank","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Testicular diseases and treatments","field":"Medicine","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":"Université Laval","funders":"National Cancer Institute; National Institutes of Health; World Health Organization","keywords":"Internal medicine; Luteinizing hormone; Endocrinology; Hormone; Nested case-control study; Leydig cell; Follicle-stimulating hormone; Testosterone (patch); Medicine; Sex hormone-binding globulin; Seminoma; Case-control study; Androgen","score_opus":0.045436330026024124,"score_gpt":0.35309302629936146,"score_spread":0.30765669627333736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386121701","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":[0.9796448,0.01671426,0.00014736119,0.00059770746,0.00009946507,0.0024748582,0.0002500761,0.000054279408,0.00001720992],"genre_scores_gemma":[0.9983406,0.00063940574,0.0001581846,0.00010406264,0.000055792163,0.00058451993,0.00004555947,0.000020606554,0.0000512633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965467,0.0018095482,0.00066442566,0.00046313606,0.00013676316,0.0003794245],"domain_scores_gemma":[0.99584734,0.0031153238,0.00044222007,0.00039731272,0.000069481845,0.00012830689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023720625,0.00023387258,0.0006317004,0.00018643997,0.00009410615,0.0000057740967,0.00008733841,0.00012248295,0.00003286897],"category_scores_gemma":[0.0029206176,0.00016062861,0.0001676336,0.00047506162,0.00015877726,0.000059957067,0.000043847216,0.00016685315,0.000010147466],"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":[0.00026192368,0.00061141106,0.9864844,0.00010230042,0.0007933647,0.002027267,0.00024221146,0.00007582964,0.00008701162,0.000005423423,0.00034537804,0.008963479],"study_design_scores_gemma":[0.0057750004,0.001149248,0.98580694,0.00019603032,0.0028525318,0.00029316478,0.00053149275,0.0024736465,0.000012075793,0.0007758851,0.000010153263,0.00012383751],"about_ca_topic_score_codex":0.001289413,"about_ca_topic_score_gemma":0.00031554315,"teacher_disagreement_score":0.018695822,"about_ca_system_score_codex":0.0000799332,"about_ca_system_score_gemma":0.000126805,"threshold_uncertainty_score":0.65502447},"labels":[],"label_agreement":null},{"id":"W4386256113","doi":"10.1158/1055-9965.epi-23-0545","title":"Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Skin Protection and Aging","field":"Medicine","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":"Jewish General Hospital; McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Cancer Research Society; National Center for Research Resources; Canadian Dermatology Foundation","keywords":"Skin cancer; Single-nucleotide polymorphism; Basal cell carcinoma; FANCA; Context (archaeology); Biobank; Cancer; Cohort; Genome-wide association study; Oncology; Medicine; Disease; Risk factor; Genetics; DNA repair; Gene; Internal medicine; Biology; Genotype; Basal cell; Fanconi anemia","score_opus":0.10279784392001798,"score_gpt":0.4057255760625001,"score_spread":0.30292773214248214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386256113","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":[0.96366173,0.029065348,0.00031408068,0.0041897483,0.00072133465,0.001764471,0.00005220467,0.00021091942,0.000020150359],"genre_scores_gemma":[0.94916165,0.04596536,0.0005287656,0.00035495227,0.00017951577,0.0026536516,0.00026548642,0.00004261763,0.00084801076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99590814,0.0010074469,0.001137473,0.0010307484,0.00023195655,0.00068420416],"domain_scores_gemma":[0.9983183,0.00033664555,0.0005699529,0.0005014794,0.000028118224,0.00024551366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032661771,0.00033679,0.0007588176,0.00069142366,0.00012298278,0.000010677544,0.00013269865,0.00022054574,0.0004497452],"category_scores_gemma":[0.0007787423,0.00029838487,0.00040312446,0.000770377,0.00027503353,0.00011449123,0.000114251896,0.00029192388,0.00004199025],"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":[0.00044858642,0.000103984,0.97953457,0.00012785601,0.0005894563,0.00014518056,0.0000679365,0.00035472654,0.0030429882,0.000005959135,0.0020917684,0.013486976],"study_design_scores_gemma":[0.0011596916,0.00005199135,0.98660564,0.0006788981,0.0005522941,0.000009071462,0.00018424285,0.003979258,0.00404623,0.0015542769,0.00089291664,0.00028550153],"about_ca_topic_score_codex":0.00405683,"about_ca_topic_score_gemma":0.0017982614,"teacher_disagreement_score":0.016900009,"about_ca_system_score_codex":0.0005873547,"about_ca_system_score_gemma":0.00019979877,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W4387729326","doi":"10.1158/1055-9965.epi-23-0908","title":"Male-Pattern Vertex Baldness Trajectories, Chest Hair Patterns, and Odds of Overall and Aggressive Prostate Cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Jewish General Hospital; University of Ottawa; Department of National Defence; Université de Montréal; Université Laval; Centre hospitalier de l'Université Laval; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Canadian Cancer Society; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Male-pattern baldness; Odds ratio; Medicine; Prostate cancer; Internal medicine; Case-control study; Logistic regression; Oncology; Cancer; Surgery","score_opus":0.03692922019494954,"score_gpt":0.3468613278081774,"score_spread":0.30993210761322787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387729326","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":[0.9754008,0.01860307,0.00035842205,0.0041222745,0.0005885873,0.0006670423,0.00011048593,0.00007249621,0.00007682297],"genre_scores_gemma":[0.97918975,0.01844244,0.00008632089,0.00066854624,0.000094063915,0.00030211653,0.00024383872,0.00003060352,0.00094228995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807894,0.00028651056,0.0005361755,0.0005281121,0.000113779606,0.00045650653],"domain_scores_gemma":[0.99879616,0.00027425843,0.00041473767,0.00021181446,0.000092804854,0.00021023864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071025506,0.00024564037,0.0006479553,0.00016993085,0.000079721525,0.0000057464463,0.000069744,0.00023318976,0.000158635],"category_scores_gemma":[0.0003708271,0.00021644607,0.00011004312,0.00021433152,0.00032366536,0.00012826723,0.000069504254,0.00015810924,0.0000036770057],"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":[0.0004289573,0.000035927136,0.8778708,0.00088724884,0.00033293755,0.000026935897,0.00033481742,0.000003673808,0.0005527613,0.000047246416,0.0036780278,0.11580069],"study_design_scores_gemma":[0.0025441488,0.00024285237,0.9922811,0.0011400975,0.0002213162,0.00005061038,0.00028151434,0.00065987033,0.00018657307,0.0007968028,0.0013872103,0.00020789533],"about_ca_topic_score_codex":0.0026404255,"about_ca_topic_score_gemma":0.0012532315,"teacher_disagreement_score":0.1155928,"about_ca_system_score_codex":0.00008366734,"about_ca_system_score_gemma":0.00020060701,"threshold_uncertainty_score":0.8826415},"labels":[],"label_agreement":null},{"id":"W4387931960","doi":"10.1158/1055-9965.epi-23-0498","title":"Direct Medical Spending on Young and Average-Age Onset Colorectal Cancer before and after Diagnosis: a Population-Based Costing Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fraser Health; British Columbia Centre on Substance Use; BC Cancer Agency; Simon Fraser University; Research Canada; Centre for Advancing Health Outcomes; St. Paul's Hospital; Spinal Cord Injury BC; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Colorectal cancer; Cancer; Medical prescription; Incidence (geometry); Population; Internal medicine; Cancer registry; Pediatrics","score_opus":0.040847733540581584,"score_gpt":0.37195861777833816,"score_spread":0.3311108842377566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387931960","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":[0.9943384,0.0018374579,0.00009881108,0.0015755737,0.0007264009,0.0010878782,0.000033234333,0.00024064869,0.00006161811],"genre_scores_gemma":[0.9964175,0.00054373604,0.0001052205,0.0003681899,0.00027236648,0.0020211907,0.00010984731,0.0000354582,0.0001264935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731016,0.0006939088,0.00054584397,0.00073776214,0.00027556127,0.00043677355],"domain_scores_gemma":[0.9982742,0.001040212,0.00022951116,0.00014868575,0.000042052805,0.00026535074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022872668,0.00027180527,0.00062208046,0.0003406513,0.0002441921,0.00001836836,0.000060266713,0.00027075253,0.00019016973],"category_scores_gemma":[0.001612856,0.00024252733,0.00012383921,0.00044840068,0.00014090286,0.00008749218,0.00007298091,0.00031424017,0.0000056662393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035487732,0.00010111286,0.94866556,0.000093346505,0.00028935698,0.00010007617,0.00021868158,0.00004449076,0.00003058362,0.0000027501037,0.0003713222,0.046533935],"study_design_scores_gemma":[0.0022491897,0.0020060842,0.98734534,0.0010976816,0.0002698147,0.000028509796,0.00013097798,0.006360425,0.00008296697,0.0001547104,0.000071844086,0.00020246796],"about_ca_topic_score_codex":0.0038230226,"about_ca_topic_score_gemma":0.020103907,"teacher_disagreement_score":0.046331465,"about_ca_system_score_codex":0.00037754243,"about_ca_system_score_gemma":0.00010569485,"threshold_uncertainty_score":0.9977766},"labels":[],"label_agreement":null},{"id":"W4389079962","doi":"10.1158/1055-9965.epi-23-0577","title":"Correlates of Circulating Osteoprotegerin in Women with a Pathogenic or Likely Pathogenic Variant in the <i>BRCA1</i> Gene","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","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; Women's College Hospital; Osteoporosis Canada; University of Toronto; University Health Network; Public Health Ontario","funders":"Canadian Institutes of Health Research; Peter Gilgan Foundation; Canada Research Chairs; Canadian Cancer Society","keywords":"Osteoprotegerin; Medicine; Internal medicine; Hormone; Endocrinology; Family history; Receptor; Physiology; Oncology; Activator (genetics)","score_opus":0.028713012240948497,"score_gpt":0.30287622281104476,"score_spread":0.27416321057009624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389079962","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":[0.9900344,0.008402607,0.0004133434,0.0002949689,0.00015079143,0.0006102658,0.000046862664,0.000015782267,0.00003097166],"genre_scores_gemma":[0.99649256,0.0016887853,0.00039316333,0.0003164721,0.00007674266,0.0007801863,0.00016274813,0.000022675553,0.000066654095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972379,0.0010594205,0.0006176384,0.00049867615,0.000096114694,0.00049020565],"domain_scores_gemma":[0.99900097,0.00018711688,0.00031219947,0.0003956717,0.000039192313,0.00006487251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002571832,0.00020178336,0.00039757896,0.00013406723,0.00005120508,0.0000052816677,0.00024160967,0.00021683077,0.000028245004],"category_scores_gemma":[0.00045110082,0.0001368418,0.00011040361,0.0005947762,0.00015304284,0.000010160775,0.00008957925,0.00012014024,0.0000042400998],"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":[0.0056948117,0.0003171951,0.5388693,0.00025804152,0.00046865165,0.00021703875,0.0010344853,0.0017898795,0.401751,0.00019275345,0.00072347285,0.048683345],"study_design_scores_gemma":[0.002149209,0.0004518866,0.99187684,0.00018986972,0.000074986005,0.00006796469,0.0007362989,0.00036809553,0.0013447361,0.0018922079,0.0005618807,0.00028603364],"about_ca_topic_score_codex":0.00019051657,"about_ca_topic_score_gemma":0.0005705986,"teacher_disagreement_score":0.45300752,"about_ca_system_score_codex":0.000039978444,"about_ca_system_score_gemma":0.00024151726,"threshold_uncertainty_score":0.55802464},"labels":[],"label_agreement":null},{"id":"W4389100240","doi":"10.1158/1055-9965.epi-23-1006","title":"Increase in the Life Expectancy of Patients with Cancer in the United States","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","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":false,"ca_institutions":"Nova Scotia Health Authority","funders":"National Cancer Institute; National Institutes of Health","keywords":"Life expectancy; Medicine; Cancer; Colorectal cancer; Population; Lung cancer; Oncology; Breast cancer; Internal medicine; Gerontology; Environmental health","score_opus":0.10210446319893825,"score_gpt":0.4005831820330125,"score_spread":0.2984787188340743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389100240","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":[0.9867204,0.004013629,0.00006159197,0.008126712,0.0001236693,0.00078715495,0.000037622656,0.00002240586,0.00010684028],"genre_scores_gemma":[0.9936937,0.0018131189,0.00008153905,0.0034300522,0.000060623137,0.0005099871,0.0003682672,0.000011378105,0.00003132911],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733996,0.0011803539,0.0005714454,0.00029211695,0.00023392438,0.00038217194],"domain_scores_gemma":[0.99840945,0.00082385394,0.00029005954,0.00030978853,0.000106653526,0.000060171427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002734824,0.00015695319,0.00039686874,0.0002800741,0.00005679559,0.000003967978,0.00023511701,0.00010999162,0.00009734077],"category_scores_gemma":[0.0007153741,0.00008611171,0.0000872076,0.0015757905,0.00019448824,0.00008938647,0.000031134958,0.00023184971,0.0000039353463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012191703,0.00007641981,0.98468745,0.000060728053,0.00011416288,0.0000132740515,0.0010817135,0.000488443,0.000013757947,0.00009690217,0.008618453,0.0035295018],"study_design_scores_gemma":[0.0016956265,0.00025189482,0.991649,0.0006217781,0.00011022589,0.0000016609733,0.002627811,0.0007219344,0.000008824958,0.0010736404,0.0011437315,0.00009392788],"about_ca_topic_score_codex":0.012546042,"about_ca_topic_score_gemma":0.005329114,"teacher_disagreement_score":0.007474721,"about_ca_system_score_codex":0.0001332429,"about_ca_system_score_gemma":0.00019490485,"threshold_uncertainty_score":0.9940295},"labels":[],"label_agreement":null},{"id":"W4389227899","doi":"10.1158/1538-7755.disp23-a116","title":"Abstract A116: Assessment of equitable care for women of color with mBC","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Palliative care; Anxiety; Medicine; Focus group; Depression (economics); Gerontology; Family medicine; Psychology; Nursing; Psychiatry; Sociology","score_opus":0.15349502756435082,"score_gpt":0.47189019697877266,"score_spread":0.3183951694144218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389227899","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":[0.9888433,0.0038569316,0.0030087917,0.0010787693,0.00029227705,0.0011933878,0.00009452083,0.000058841717,0.0015731681],"genre_scores_gemma":[0.9913212,0.00040704626,0.006700867,0.00015447402,0.00007531833,0.0006436975,0.0001792122,0.000018127654,0.0005000398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982705,0.0001055265,0.0006250518,0.0003308288,0.00015864593,0.00050940685],"domain_scores_gemma":[0.9983913,0.00041530075,0.00052739156,0.00025225943,0.0003051478,0.00010860026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002031361,0.00014774788,0.0007109421,0.00014642344,0.0000652162,0.0000018130553,0.00011191245,0.0001576578,0.00013837231],"category_scores_gemma":[0.00025632264,0.00012033258,0.00017065021,0.00033944251,0.00018056603,0.0000913496,0.00004449357,0.00009479032,0.0000021856474],"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":[0.0033684256,0.00010025348,0.9090869,0.003010129,0.001420654,0.000009730011,0.000556617,0.0012418546,0.021837391,0.00077149563,0.012958475,0.045638114],"study_design_scores_gemma":[0.002784962,0.0022609206,0.9793095,0.001482122,0.0002836345,0.0000056964695,0.0038912091,0.0008532455,0.0027622697,0.0020095478,0.0041755796,0.00018129271],"about_ca_topic_score_codex":0.000404349,"about_ca_topic_score_gemma":0.00023739086,"teacher_disagreement_score":0.07022266,"about_ca_system_score_codex":0.00041530092,"about_ca_system_score_gemma":0.00050726405,"threshold_uncertainty_score":0.49070203},"labels":[],"label_agreement":null},{"id":"W4389227965","doi":"10.1158/1538-7755.disp23-pr017","title":"Abstract PR017: Enabling broad population access to facilitate gut microbiome discoveries","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ethics in Clinical Research","field":"Medicine","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":"Outotec (Canada)","funders":"","keywords":"Microbiome; Population; Sample (material); Data collection; Demographics; Scale (ratio); Protocol (science); Sample size determination; Medicine; Computer science; Biology; Bioinformatics; Environmental health; Statistics; Geography; Pathology; Demography; Cartography","score_opus":0.6683209028303204,"score_gpt":0.6115404869357981,"score_spread":0.05678041589452232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389227965","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":[0.94289386,0.0018575953,0.0018902273,0.04914445,0.0015988738,0.0015969395,0.00010092439,0.00031229365,0.00060480955],"genre_scores_gemma":[0.97838116,0.0042390716,0.0018470531,0.0022027714,0.00044214443,0.0004905848,0.0009960539,0.00005718573,0.011344006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99626744,0.00053023116,0.0011761189,0.00090054644,0.00033723676,0.0007884328],"domain_scores_gemma":[0.9928487,0.0056369305,0.00031718626,0.00060263893,0.0002675331,0.00032699615],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01012098,0.00024539267,0.0006650007,0.0004928237,0.00020736174,0.000038528502,0.00036807195,0.0005904685,0.00046909455],"category_scores_gemma":[0.018403398,0.00022056515,0.0003088246,0.00092152966,0.0003107963,0.0003637728,0.0003572854,0.00077927875,0.00036713036],"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":[0.0018492276,0.00014103453,0.83021444,0.0014364162,0.0007712529,0.000033709875,0.0003023006,0.00041829626,0.04335372,0.00094305805,0.03950613,0.08103042],"study_design_scores_gemma":[0.00070799014,0.00017948245,0.9455906,0.0010474531,0.00007275012,0.0000041298354,0.00008986579,0.00012731166,0.00051453564,0.04275272,0.008695499,0.00021764988],"about_ca_topic_score_codex":0.0020453853,"about_ca_topic_score_gemma":0.0017232636,"teacher_disagreement_score":0.11537618,"about_ca_system_score_codex":0.00042388396,"about_ca_system_score_gemma":0.00031843007,"threshold_uncertainty_score":0.989865},"labels":[],"label_agreement":null},{"id":"W4389228016","doi":"10.1158/1538-7755.disp23-a059","title":"Abstract A059: The role of conversational chatbots in enhancing shared decision making for African American men with early stage prostate cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Focus group; Stakeholder; Health care; Community-based participatory research; Participatory action research; Psychology; Medical education; Medicine; Public relations; Political science; Sociology","score_opus":0.09137662798122363,"score_gpt":0.45391968416667694,"score_spread":0.3625430561854533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389228016","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":[0.98577857,0.0012088547,0.000371949,0.008277349,0.0010609736,0.0029671437,0.000071326285,0.00005928851,0.0002045692],"genre_scores_gemma":[0.9924015,0.0010120504,0.0012531615,0.000099252306,0.00029086834,0.004823124,0.000039708444,0.000019694144,0.00006066306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750435,0.0006934939,0.0006260813,0.00037805137,0.0002482326,0.0005497627],"domain_scores_gemma":[0.99138874,0.007267126,0.00091341673,0.00015612968,0.00018904578,0.00008556521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052092625,0.00013192258,0.00035347804,0.00020043612,0.0003303705,0.0000128639695,0.00022813553,0.00011720271,0.000109092405],"category_scores_gemma":[0.003128208,0.00011004661,0.00008400941,0.00094993407,0.00057311554,0.00021072538,0.000027600396,0.00013817745,0.0000039560678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005463043,0.000024854711,0.7724481,0.00005387431,0.00008290152,3.1571477e-7,0.02600316,0.00019114494,0.00025496338,0.0007642152,0.00041492618,0.19921523],"study_design_scores_gemma":[0.000353556,0.00007384187,0.96794176,0.00040283363,0.000027118977,5.4682324e-8,0.018742481,0.00047712444,0.00007976371,0.007812731,0.003964371,0.00012438113],"about_ca_topic_score_codex":0.043826703,"about_ca_topic_score_gemma":0.057388186,"teacher_disagreement_score":0.19909085,"about_ca_system_score_codex":0.0007189053,"about_ca_system_score_gemma":0.0009904347,"threshold_uncertainty_score":0.9625405},"labels":[],"label_agreement":null},{"id":"W4389240031","doi":"10.1158/1538-7755.disp23-b019","title":"Abstract B019: “It's probably just hemorrhoids”: A qualitative exploration of psychosocial and lifestyle changes and challenges accompanying an early-onset colorectal cancer diagnosis","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychosocial; Medicine; Colorectal cancer; Gerontology; Qualitative research; Quality of life (healthcare); Cancer; Psychiatry; Internal medicine; Nursing","score_opus":0.24308954322478968,"score_gpt":0.4526807157468367,"score_spread":0.20959117252204704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389240031","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":[0.96258235,0.016037673,0.00008842847,0.019712942,0.0005263184,0.00080193306,0.00005852149,0.00014698778,0.000044855056],"genre_scores_gemma":[0.95562315,0.041118793,0.00047172408,0.00015901146,0.00031659578,0.0021293592,0.00009784797,0.000029972758,0.000053540458],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99759495,0.0007268256,0.00051864673,0.00063320214,0.00015261237,0.0003737524],"domain_scores_gemma":[0.99822277,0.00080671546,0.00047772552,0.00015496057,0.00015361661,0.00018420805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002120953,0.00024973828,0.00065405166,0.0002880829,0.00018123684,0.000012304588,0.000065750355,0.00029877215,0.000041433967],"category_scores_gemma":[0.0005324268,0.0002408306,0.00009999122,0.00035935905,0.00031533808,0.00038020607,0.00005286058,0.00020665683,0.0000026935659],"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":[0.008209462,0.00024834482,0.33019093,0.001387021,0.0009371596,0.0000082535535,0.025029307,0.000021598813,0.0031773222,0.000082481994,0.003879653,0.6268285],"study_design_scores_gemma":[0.0019039641,0.0020075596,0.98050547,0.00094935717,0.00028491486,0.00001067429,0.0094845975,0.00055707834,0.0015874954,0.0019195479,0.0005004202,0.00028889856],"about_ca_topic_score_codex":0.0020703932,"about_ca_topic_score_gemma":0.008177361,"teacher_disagreement_score":0.65031457,"about_ca_system_score_codex":0.00014629526,"about_ca_system_score_gemma":0.00011919903,"threshold_uncertainty_score":0.98207873},"labels":[],"label_agreement":null},{"id":"W4389240050","doi":"10.1158/1538-7755.disp23-c024","title":"Abstract C024: Room temperature stabilization of fecal samples supports important microbiome insights to expand access","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Outotec (Canada)","funders":"","keywords":"Reproducibility; Feces; Microbiome; Colorectal cancer; Gut microbiome; Homogenization (climate); Medicine; Biology; Bioinformatics; Chromatography; Chemistry; Internal medicine; Cancer; Ecology","score_opus":0.05121957193129823,"score_gpt":0.38994974462656146,"score_spread":0.33873017269526323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389240050","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":[0.9929156,0.0037479226,0.00043560413,0.0012781158,0.000726819,0.0006585007,0.00016687863,0.000040487805,0.000030075082],"genre_scores_gemma":[0.9926824,0.0026414357,0.00049943937,0.0006165438,0.00021672799,0.000111049754,0.002907095,0.000035698977,0.0002896417],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99756056,0.00029117928,0.0008905318,0.00069557445,0.00007521069,0.0004869372],"domain_scores_gemma":[0.9987352,0.00008010125,0.0004406216,0.0004206739,0.00014676784,0.00017663484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114798,0.00025303004,0.00045047872,0.00022556474,0.000118391355,0.000013833761,0.00027171688,0.0004686675,0.00012520797],"category_scores_gemma":[0.00027277088,0.00023156147,0.00019236554,0.00042260464,0.00011050264,0.000019207799,0.00017183393,0.00011778542,0.000011765513],"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":[0.00020961065,0.00005463042,0.113180794,0.00015948623,0.0001495414,0.000002733254,0.000062237494,0.000073063275,0.84347075,0.00003739731,0.04104222,0.001557503],"study_design_scores_gemma":[0.0006576917,0.00028200838,0.8104925,0.00021093898,0.000057302586,0.0000095347,0.00010463323,0.000016183889,0.16451396,0.00080908486,0.022491502,0.00035461452],"about_ca_topic_score_codex":0.0002342033,"about_ca_topic_score_gemma":0.0010395512,"teacher_disagreement_score":0.69731176,"about_ca_system_score_codex":0.00006821644,"about_ca_system_score_gemma":0.00030305816,"threshold_uncertainty_score":0.94428027},"labels":[],"label_agreement":null},{"id":"W4389240193","doi":"10.1158/1538-7755.disp23-pr008","title":"Abstract PR008: Human papillomavirus vaccination knowledge, health beliefs, recommendation receipt, and intentions among unvaccinated Spanish-speaking young adult Hispanic/Latino sexual minority men","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Ethnic group; Demography; Human papillomavirus; Genital warts; Vaccination; Reproductive health; Anal cancer; Family medicine; Quarter (Canadian coin); Gerontology; Cervical cancer; Cancer; Population; Environmental health; Immunology; Internal medicine","score_opus":0.10634671839297152,"score_gpt":0.44627386671715913,"score_spread":0.3399271483241876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389240193","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":[0.949089,0.0061979587,0.0010227129,0.019288072,0.0013897358,0.0034627544,0.00011080087,0.0007779168,0.01866103],"genre_scores_gemma":[0.9907052,0.0041681835,0.00026764438,0.00026718155,0.00043675638,0.00040479182,0.0020371738,0.00005008463,0.0016630032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957426,0.0009644203,0.0012463195,0.00095536135,0.00025016247,0.0008411156],"domain_scores_gemma":[0.9975376,0.00044964853,0.00064122054,0.00036809238,0.00060682284,0.00039658454],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036975371,0.00034722136,0.00079647853,0.0005150593,0.0006345043,0.0000327975,0.00016026433,0.00038717964,0.0019413776],"category_scores_gemma":[0.0009492441,0.00034214073,0.00018496225,0.0008676072,0.00013863773,0.00037496278,0.00018456888,0.0006256628,0.000045032535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032330328,0.00019512983,0.55362195,0.000730811,0.00040821673,0.0000040117184,0.0003171615,0.000002977028,0.0018702323,0.00037579794,0.028045809,0.41410458],"study_design_scores_gemma":[0.0024239558,0.00057693257,0.9909375,0.00025416142,0.00014246332,0.00001142063,0.0003860735,0.0021265622,0.0001201346,0.0016827905,0.0010553176,0.00028273676],"about_ca_topic_score_codex":0.008663013,"about_ca_topic_score_gemma":0.018101422,"teacher_disagreement_score":0.4373155,"about_ca_system_score_codex":0.0011366856,"about_ca_system_score_gemma":0.0003165057,"threshold_uncertainty_score":0.9999031},"labels":[],"label_agreement":null},{"id":"W4389241534","doi":"10.1158/1538-7755.disp23-c117","title":"Abstract C117: Implementing on overdue colorectal cancer (CRC) screening in the Federally Qualified Health Center (FQHC) primary care setting:  12-month post intervention results","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","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":"Saint Mary's University","funders":"","keywords":"Medicine; Psychological intervention; Cohort; Cancer screening; Family medicine; Health equity; Population; Colonoscopy; Colorectal cancer; Intervention (counseling); Gerontology; Cancer; Public health; Nursing; Environmental health; Internal medicine","score_opus":0.07748072411347373,"score_gpt":0.40760092547135374,"score_spread":0.33012020135788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389241534","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":[0.9676008,0.004428532,0.00046525916,0.021338994,0.0014443906,0.0022713735,0.00029164457,0.00034909343,0.0018099115],"genre_scores_gemma":[0.99122006,0.00076343876,0.00036949752,0.0029183927,0.00052115443,0.0007358647,0.0031516799,0.000053661824,0.00026628032],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9945273,0.0015082697,0.0015603873,0.00097202335,0.00038539193,0.0010466218],"domain_scores_gemma":[0.99738574,0.00088987587,0.0010421003,0.0003842124,0.00013289729,0.00016518282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006585742,0.00039937586,0.0007454364,0.0004683058,0.0005046032,0.000041329622,0.00023098764,0.00029586625,0.00006451638],"category_scores_gemma":[0.00064053404,0.00033221874,0.0005049548,0.00059100485,0.000114109396,0.00019565,0.00012316139,0.0006978446,0.000014850403],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.031447973,0.00028628402,0.3219989,0.0010416795,0.0007040218,0.000046250436,0.0036457644,0.00039781164,0.0018914407,0.000044073426,0.030702494,0.6077933],"study_design_scores_gemma":[0.005532879,0.0023828975,0.9805931,0.002866729,0.000083795836,0.0000214253,0.0030818228,0.00073972193,0.00027583222,0.00012198382,0.0039962814,0.00030356017],"about_ca_topic_score_codex":0.0107527375,"about_ca_topic_score_gemma":0.02919469,"teacher_disagreement_score":0.6585942,"about_ca_system_score_codex":0.001123415,"about_ca_system_score_gemma":0.00039267438,"threshold_uncertainty_score":0.999913},"labels":[],"label_agreement":null},{"id":"W4389334856","doi":"10.1158/1055-9965.epi-23-0634","title":"Genetic Factors and Long-term Treatment-Related Neurocognitive Deficits, Anxiety, and Depression in Childhood Leukemia Survivors: An Exome-Wide Association Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":2,"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; Université de Montréal; Children's Hospital of Eastern Ontario; Université du Québec; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Cancer Institute; Garron Family Cancer Centre; Fonds de Recherche du Québec - Santé; C17 Children's Cancer and Blood Disorders; Hospital for Sick Children; Université de Montréal; Canadian Cancer Society Research Institute; Terry Fox Foundation; Pediatric Oncology Group of Ontario; Canadian Institutes of Health Research; American Lebanese Syrian Associated Charities; Institute of Cancer Research; Cancer Research Society; Ontario Institute for Cancer Research; St. Jude Children's Research Hospital","keywords":"Neurocognitive; Cohort; Anxiety; Depression (economics); Medicine; Oncology; Cohort study; Clinical psychology; Internal medicine; Psychiatry; Psychology; Cognition","score_opus":0.04754728310256786,"score_gpt":0.361538611089653,"score_spread":0.3139913279870852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389334856","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":[0.99095327,0.0049718027,0.00004242926,0.00092266814,0.0005251841,0.0023027721,0.000036172925,0.00022147242,0.000024252606],"genre_scores_gemma":[0.9922318,0.006330765,0.00006834283,0.00033481393,0.00012399405,0.0003105419,0.0003951063,0.000060509872,0.00014414344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942185,0.0026392094,0.0010850143,0.0011579489,0.0002478808,0.0006514223],"domain_scores_gemma":[0.9965879,0.0020033726,0.000635899,0.00036869233,0.00009996221,0.00030421477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024035021,0.00046335786,0.0010513783,0.00046214196,0.00018566017,0.000022049167,0.00010370764,0.00044865606,0.00004110734],"category_scores_gemma":[0.0019846472,0.00041560907,0.00015720802,0.0006097388,0.00012306082,0.00026773277,0.00011359806,0.00029522995,0.000007768502],"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":[0.0002798263,0.000423059,0.9740865,0.00007885456,0.00065754773,0.000023750325,0.0031104712,0.00001617292,0.00009668646,0.0000010704803,0.0001391177,0.021086913],"study_design_scores_gemma":[0.005288977,0.00091543957,0.9902377,0.00042292898,0.0005413038,0.000012000489,0.0015705063,0.00016959233,0.00005969562,0.000430343,0.000017937928,0.00033359195],"about_ca_topic_score_codex":0.004074844,"about_ca_topic_score_gemma":0.017370306,"teacher_disagreement_score":0.02075332,"about_ca_system_score_codex":0.0009252738,"about_ca_system_score_gemma":0.00022775296,"threshold_uncertainty_score":0.9998296},"labels":[],"label_agreement":null},{"id":"W4389347471","doi":"10.1158/1055-9965.epi-23-0828","title":"The Influence of Smoking and Occupational Risk Factors on DNA Methylation in the <i>AHRR</i> and <i>F2RL3</i> Genes","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Canadian Institutes of Health Research","keywords":"DNA methylation; Methylation; Gene; DNA; Occupational exposure; Genetics; Chemistry; Biology; Medicine; Environmental health; Gene expression","score_opus":0.04077912723263192,"score_gpt":0.3541264644190477,"score_spread":0.3133473371864158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389347471","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":[0.989937,0.008796576,0.0003493359,0.00049896975,0.00011922224,0.00024868597,0.00002109661,0.0000062232352,0.000022881233],"genre_scores_gemma":[0.98123664,0.018340375,0.00008249447,0.000088386936,0.00005111414,0.00006072329,0.00010955061,0.000007961955,0.000022765129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818,0.0008926344,0.0003648026,0.00028901023,0.00008999588,0.00018358682],"domain_scores_gemma":[0.9986466,0.0007754392,0.00030301107,0.00019815381,0.00004875534,0.000028037315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029179612,0.00011912473,0.00014521129,0.00006556473,0.00018353046,0.000008905122,0.000109673034,0.00015277167,0.0000010756626],"category_scores_gemma":[0.0007387173,0.00007775808,0.00005525761,0.00017436437,0.0002095329,0.000008025598,0.00005412844,0.00008939209,3.987419e-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":[0.00011345395,0.000011351795,0.9197569,0.000013496961,0.00008579006,1.5921243e-7,0.00009184547,0.002205305,0.04645367,0.00022586774,0.00015345964,0.030888686],"study_design_scores_gemma":[0.00025143407,0.00013110855,0.9804734,0.000026965174,0.00003351812,3.942654e-7,0.00008966502,0.00036257514,0.010837801,0.005566914,0.0021406955,0.000085513435],"about_ca_topic_score_codex":0.00018679455,"about_ca_topic_score_gemma":0.0002448742,"teacher_disagreement_score":0.060716502,"about_ca_system_score_codex":0.000013350579,"about_ca_system_score_gemma":0.000035146182,"threshold_uncertainty_score":0.31708825},"labels":[],"label_agreement":null},{"id":"W4389948140","doi":"10.1158/1055-9965.epi-23-0717","title":"Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","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":"Cancer Care Ontario","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institute on Aging; NIHR Imperial Biomedical Research Centre; Instituto de Salud Carlos III; National Institute for Health and Care Research; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Health and Medical Research Council; Medical Research Council; Centers for Disease Control and Prevention; World Health Organization; Xarxa de Bancs de Tumors de Catalunya; Junta de Castilla y León; National Institutes of Health; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Centre Hospitalier Universitaire de Nantes; Institut Gustave-Roussy; National Human Genome Research Institute; Cancer Council Victoria; School of Public Health, Imperial College London; Deutsche Krebshilfe; Associazione Italiana per la Ricerca sul Cancro; Vetenskapsrådet; Mutuelle Générale de l'Education Nationale; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Cancerfonden; National Cancer Institute; Fundación Científica Asociación Española Contra el Cáncer; Marshfield Clinic Research Foundation; Institut National de la Santé et de la Recherche Médicale; Deutsche Forschungsgemeinschaft; Centres de Recerca de Catalunya; Imperial College London; Generalitat de Catalunya; Food Standards Agency; Swedish Cancer Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; World Cancer Research Fund; Brigham and Women's Hospital; Center for Strategic Scientific Initiatives, National Cancer Institute; Division of Cancer Prevention, National Cancer Institute; Harvard T.H. Chan School of Public Health; Victorian Cancer Agency; Conseil Régional des Pays de la Loire; University of Pittsburgh; Johns Hopkins University; Association Anne de Bretagne Genetique; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Fred Hutchinson Cancer Research Center; Emory University; Damon Runyon Cancer Research Foundation; Cancer Research UK; American Cancer Society; U.S. Department of Health and Human Services","keywords":"Red meat; Colorectal cancer; Processed meat; Confidence interval; Medicine; Genome-wide association study; Genotyping; Quartile; Single-nucleotide polymorphism; Internal medicine; Cancer; Genetics; Biology; Genotype; Food science; Gene; Pathology","score_opus":0.1800763615248682,"score_gpt":0.41252938503061143,"score_spread":0.23245302350574323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389948140","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":[0.96650666,0.009336767,0.0009574902,0.022075392,0.00014432415,0.00082323543,0.000057020457,0.000047113102,0.000051992418],"genre_scores_gemma":[0.9880786,0.010339823,0.00040009437,0.0003489413,0.00019775928,0.00025027175,0.00017565265,0.000017412549,0.00019146562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831784,0.0003939022,0.00043156056,0.00045793323,0.00012129619,0.00027747988],"domain_scores_gemma":[0.99770236,0.0017397567,0.00023484373,0.00013211378,0.000047317393,0.00014358314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093213987,0.00018142826,0.00040994078,0.00014294157,0.0003880405,0.000011387849,0.00005237009,0.0001337338,0.000051444895],"category_scores_gemma":[0.0008871723,0.00013363289,0.000094311275,0.0003031443,0.00022751205,0.00007404209,0.000089147776,0.00018129723,0.000008513116],"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":[0.00057693734,0.000018754685,0.99177855,0.00007871172,0.00068211457,0.0000017455374,0.00019877587,0.00010494632,0.001182432,0.000029054541,0.003035442,0.002312553],"study_design_scores_gemma":[0.0008659322,0.00018645076,0.9891859,0.0001524461,0.0006415198,0.0000045767933,0.00096367195,0.00011330224,0.00023148433,0.005657042,0.0018660456,0.00013157507],"about_ca_topic_score_codex":0.00044151684,"about_ca_topic_score_gemma":0.00065128267,"teacher_disagreement_score":0.02172645,"about_ca_system_score_codex":0.00026723914,"about_ca_system_score_gemma":0.000042698324,"threshold_uncertainty_score":0.5449391},"labels":[],"label_agreement":null},{"id":"W4389994046","doi":"10.1158/1055-9965.epi-23-0652","title":"The Salivary Microbiome and Predicted Metabolite Production Are Associated with Barrett's Esophagus and High-Grade Dysplasia or Adenocarcinoma","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":17,"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 for Global Health Research","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Columbia University; Canadian Institute for Advanced Research; U.S. Department of Defense","keywords":"Microbiome; Dysbiosis; Dysplasia; Oral Microbiome; Gastroenterology; Internal medicine; Barrett's esophagus; Saliva; Metabolite; Biology; Physiology; Medicine; Adenocarcinoma; Bioinformatics; Cancer","score_opus":0.05021266999189854,"score_gpt":0.3463611167769005,"score_spread":0.29614844678500196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389994046","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":[0.71209556,0.26547003,0.000035911788,0.019879082,0.00046043156,0.001699085,0.00012674845,0.00022830673,0.0000048437023],"genre_scores_gemma":[0.9845335,0.0113685,0.00025298347,0.00020847066,0.00020908566,0.0006497312,0.0005151648,0.000041019535,0.0022215317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971447,0.00086828886,0.00044547394,0.0007113115,0.00018790922,0.0006423173],"domain_scores_gemma":[0.9982461,0.00069002516,0.00032722804,0.00032978898,0.0001343584,0.000272532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016981296,0.00028263498,0.00058255525,0.00020270847,0.00040194267,0.000021632606,0.00008996679,0.00020407123,0.000029278746],"category_scores_gemma":[0.00099081,0.00016558832,0.000078800265,0.0006776293,0.0006411059,0.00013890659,0.00008188161,0.00026111968,0.0000057321517],"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":[0.0027552205,0.00007736138,0.97730595,0.00014929808,0.0021313692,0.00013497748,0.0000753809,0.0000033612607,0.0002647341,0.000064707136,0.008704582,0.008333049],"study_design_scores_gemma":[0.002812865,0.0007905087,0.9928619,0.00041231525,0.0006288034,0.00013400984,0.000125582,0.00015858909,0.0007912889,0.0009823781,0.00015591814,0.00014580612],"about_ca_topic_score_codex":0.00025805502,"about_ca_topic_score_gemma":0.0005194354,"teacher_disagreement_score":0.27243796,"about_ca_system_score_codex":0.00027064173,"about_ca_system_score_gemma":0.00022067517,"threshold_uncertainty_score":0.6752496},"labels":[],"label_agreement":null},{"id":"W4390631596","doi":"10.1158/1055-9965.epi-23-0613","title":"Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":"Public Health Ontario; Lunenfeld-Tanenbaum Research Institute; Princess Margaret Cancer Centre; University of British Columbia; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Center for Research Resources; Common Fund; National Institute of Environmental Health Sciences; Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; National Institute of Mental Health; NIH Office of the Director; National Institute on Aging; Cancer Prevention and Research Institute of Texas; National Natural Science Foundation of China; U.S. Department of Health and Human Services; National Institutes of Health; National Human Genome Research Institute; World Health Organization","keywords":"Genome-wide association study; Lung cancer; Medicine; Population; Cancer; Oncology; Demography; Internal medicine; Environmental health; Biology; Genetics; Single-nucleotide polymorphism; Genotype; Sociology","score_opus":0.05310434667444801,"score_gpt":0.4138759137916952,"score_spread":0.36077156711724717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390631596","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":[0.797963,0.19393592,0.0031290937,0.003330895,0.0011880472,0.0003361869,0.0000755599,0.000029903364,0.000011405021],"genre_scores_gemma":[0.9631299,0.031034645,0.003438693,0.0006038878,0.00031038615,0.00037089907,0.00042224996,0.000030736057,0.0006586035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972874,0.0007210135,0.00067305134,0.0008251293,0.000059837475,0.000433567],"domain_scores_gemma":[0.9991188,0.00034293387,0.00017498154,0.00022306413,0.000059756694,0.00008044768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001531971,0.00025956944,0.0004945605,0.00014119687,0.00010252494,0.0000118521375,0.00012078472,0.00045831196,0.00006367728],"category_scores_gemma":[0.0007558377,0.00024556406,0.0001501233,0.00017857498,0.00015775998,0.0000256739,0.0001303209,0.00017537814,0.0000043650784],"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":[0.00006649952,0.000023404182,0.966382,0.000077185105,0.0008645629,0.0000022095344,0.00012823308,0.00049583695,0.0054337927,0.00006717306,0.010123394,0.016335666],"study_design_scores_gemma":[0.00064520206,0.00006709744,0.98149574,0.00036203294,0.00017837273,0.0000024643407,0.00015804173,0.010229199,0.00022813577,0.0030214994,0.003319881,0.00029235389],"about_ca_topic_score_codex":0.0025131896,"about_ca_topic_score_gemma":0.003972409,"teacher_disagreement_score":0.1651669,"about_ca_system_score_codex":0.00023623001,"about_ca_system_score_gemma":0.000097350785,"threshold_uncertainty_score":0.99999964},"labels":[],"label_agreement":null},{"id":"W4390673425","doi":"10.1158/1055-9965.epi-23-1207","title":"Marital Status, Living Arrangement, and Survival among Individuals with Advanced Prostate Cancer in the International Registry for Men with Advanced Prostate Cancer","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","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":"Spinal Cord Injury BC; BC Cancer Agency","funders":"National Cancer Institute; Astellas Pharma; National Institute of General Medical Sciences; Sanofi; Movember Foundation; AstraZeneca; Amgen","keywords":"Prostate cancer; Marital status; Medicine; Cancer registry; Demography; Cohort; Gerontology; Cancer; Proportional hazards model; Oncology; Internal medicine; Population; Environmental health","score_opus":0.022583211984574976,"score_gpt":0.34577722285310764,"score_spread":0.32319401086853267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390673425","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":[0.9267083,0.051577497,0.00062545296,0.013960094,0.0014805031,0.0039316216,0.0008393558,0.00012944537,0.0007477683],"genre_scores_gemma":[0.9684674,0.01799999,0.0011647441,0.0006263398,0.0003431277,0.008077949,0.00038763534,0.000086149994,0.0028466266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970672,0.0003552193,0.000600555,0.00093906146,0.0003204715,0.0007174894],"domain_scores_gemma":[0.998264,0.00071111537,0.00036293984,0.0003345737,0.00017616914,0.0001511854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019414847,0.00039146727,0.0006118964,0.00020792494,0.00013252225,0.000065326254,0.00021075661,0.000162048,0.00012629323],"category_scores_gemma":[0.00017482218,0.00026346985,0.00012308761,0.00041155264,0.0003853637,0.0004383486,0.000074882395,0.00038860922,7.0280566e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024550352,0.000056976365,0.8812881,0.0006847716,0.0010381864,0.000019274597,0.0026826924,0.00019645526,0.0003186215,0.0001350365,0.0028260695,0.10829877],"study_design_scores_gemma":[0.003913698,0.00077808695,0.944337,0.006574068,0.0006175398,0.000021343907,0.0055545596,0.0010326308,0.00012115848,0.00071625144,0.03580227,0.00053135696],"about_ca_topic_score_codex":0.0034963512,"about_ca_topic_score_gemma":0.037469786,"teacher_disagreement_score":0.10776741,"about_ca_system_score_codex":0.0005870149,"about_ca_system_score_gemma":0.00056237436,"threshold_uncertainty_score":0.99998176},"labels":[],"label_agreement":null},{"id":"W4390919204","doi":"10.1158/1055-9965.epi-23-0571","title":"Interaction between Continuous Pack-Years Smoked and Polygenic Risk Score on Lung Cancer Risk: Prospective Results from the Framingham Heart Study","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Center for Advancing Translational Sciences; U.S. Department of Health and Human Services; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; Vanderbilt University Medical Center","keywords":"Medicine; Lung cancer; Framingham Risk Score; Framingham Heart Study; European Prospective Investigation into Cancer and Nutrition; Internal medicine; Cancer; Demography; Proportional hazards model; Prospective cohort study; Disease","score_opus":0.026781763002035996,"score_gpt":0.35547050189571233,"score_spread":0.32868873889367634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390919204","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":[0.9728661,0.020620769,0.0011276552,0.0021836136,0.0012800675,0.0011295481,0.0007050356,0.00004746298,0.000039713617],"genre_scores_gemma":[0.9921024,0.005157131,0.00034961925,0.00030352085,0.00097582093,0.0004207807,0.000408346,0.000037284615,0.00024513228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99492985,0.0026375551,0.00078140484,0.0011004718,0.00010302148,0.0004476671],"domain_scores_gemma":[0.9972674,0.0015114136,0.00055147044,0.00048213487,0.0000841949,0.0001033475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003284215,0.00030535486,0.000530341,0.00008007933,0.00029444738,0.000031463936,0.0001918032,0.0004158514,0.0000330699],"category_scores_gemma":[0.0020934425,0.00023909974,0.00023867213,0.0001781449,0.00022045772,0.000013845372,0.00013923533,0.00050819525,0.000009056027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042885527,0.000053579464,0.953127,0.0000071306395,0.0018501931,0.0000012633101,0.00033488727,0.00013436892,0.00040790753,0.000006813377,0.017415937,0.02623203],"study_design_scores_gemma":[0.0010585262,0.0005814849,0.99101454,0.00014359687,0.0006369611,0.000001887175,0.0004407781,0.0007961996,0.00011667992,0.0012578107,0.0037063635,0.00024515786],"about_ca_topic_score_codex":0.008012971,"about_ca_topic_score_gemma":0.0026869636,"teacher_disagreement_score":0.03788752,"about_ca_system_score_codex":0.00018047409,"about_ca_system_score_gemma":0.0001355316,"threshold_uncertainty_score":0.99859273},"labels":[],"label_agreement":null},{"id":"W4391109733","doi":"10.1158/1055-9965.epi-23-0600","title":"Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Centre International de Recherche sur le Cancer; National Institute on Aging; National Institutes of Health; Junta de Castilla y León; National Human Genome Research Institute; Herzfelder'sche Familienstiftung; World Health Organization; Victorian Cancer Agency; National Institute of Diabetes and Digestive and Kidney Diseases; Instituto de Salud Carlos III; American Cancer Society","keywords":"Colorectal cancer; Medicine; Internal medicine; Microsatellite instability; Oncology; Cancer; Hazard ratio; Proportional hazards model; Epidemiology; Odds ratio; Body mass index; Cohort; Confidence interval; Biology; Allele; Genetics; Microsatellite","score_opus":0.02139530012899152,"score_gpt":0.32663462788003966,"score_spread":0.3052393277510481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391109733","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":[0.9447522,0.04391948,0.007370388,0.0019244339,0.001004156,0.0005619821,0.0003978529,0.000038193582,0.000031314692],"genre_scores_gemma":[0.9915467,0.0058443914,0.0005017947,0.00036560907,0.00019466296,0.0003209913,0.00092992245,0.000032464723,0.0002634521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969906,0.0011254257,0.0005700173,0.0007965274,0.00008538303,0.00043202503],"domain_scores_gemma":[0.9989762,0.0005468697,0.00013956276,0.00013635967,0.000041500352,0.00015956348],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016198431,0.00028818837,0.00039433688,0.00013682609,0.00011326388,0.000014110682,0.000118446165,0.0005404371,0.00012743656],"category_scores_gemma":[0.00048498416,0.00025781686,0.0001649235,0.00024323331,0.00014120141,0.00001900483,0.00004735495,0.00031047178,0.0000066614634],"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":[0.00065578945,0.000055603068,0.694964,0.000069842616,0.00042746507,0.0000061737896,0.00018201888,0.0016220346,0.2765803,0.00033992674,0.011819197,0.013277677],"study_design_scores_gemma":[0.00084508996,0.0005208106,0.9678986,0.00021018721,0.00015891837,0.000011285442,0.000104935985,0.001559135,0.012859839,0.0037112806,0.011549218,0.0005707062],"about_ca_topic_score_codex":0.0011867494,"about_ca_topic_score_gemma":0.0018904738,"teacher_disagreement_score":0.27293465,"about_ca_system_score_codex":0.00012999887,"about_ca_system_score_gemma":0.00015123413,"threshold_uncertainty_score":0.9999874},"labels":[],"label_agreement":null},{"id":"W4392124874","doi":"10.1158/1055-9965.epi-23-1466","title":"Large-Scale Cancer Genomic Analysis Reveals Significant Disparities between Microsatellite Instability and Tumor Mutational Burden","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","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":"Alberta Children's Hospital","funders":"National Cancer Institute; Korea Health Industry Development Institute","keywords":"Microsatellite instability; Lung cancer; Colorectal cancer; ARID1A; Cancer; Oncology; Proportional hazards model; Immunotherapy; Internal medicine; Medicine; Hazard ratio; Cancer research; Biology; Mutation; Gene; Confidence interval; Genetics; Allele; Microsatellite","score_opus":0.04128417481279157,"score_gpt":0.36529854711059206,"score_spread":0.3240143722978005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392124874","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":[0.88163245,0.1037555,0.003915168,0.008447623,0.0005581677,0.0007844991,0.000725455,0.00012828702,0.00005286341],"genre_scores_gemma":[0.9876957,0.007229779,0.0013540293,0.0008145811,0.00054060726,0.00042571584,0.000746362,0.000040776387,0.00115246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99653816,0.0006382302,0.0010789386,0.000976195,0.00016946776,0.00059898547],"domain_scores_gemma":[0.9983021,0.0007322371,0.00028357148,0.00036115074,0.00010896891,0.00021194902],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029328014,0.0003457232,0.0010223216,0.00041168559,0.00018905278,0.00004049499,0.00013045988,0.00025209697,0.0007798251],"category_scores_gemma":[0.000115634095,0.00030106836,0.00059871096,0.0007521545,0.0005566889,0.000177887,0.00007092782,0.00029008824,0.000010916512],"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":[0.0010387304,0.00005122537,0.9415672,0.00064697064,0.0076591275,0.000016081585,0.0005046688,0.000031988802,0.018099662,0.00010329336,0.00224307,0.028038021],"study_design_scores_gemma":[0.0010687979,0.0001294607,0.9758407,0.0004969618,0.0034150188,0.000015141134,0.00024293867,0.001542506,0.0005226598,0.0033764706,0.013010511,0.00033881777],"about_ca_topic_score_codex":0.002304301,"about_ca_topic_score_gemma":0.00070255826,"teacher_disagreement_score":0.10606325,"about_ca_system_score_codex":0.0006302674,"about_ca_system_score_gemma":0.000378579,"threshold_uncertainty_score":0.99994415},"labels":[],"label_agreement":null},{"id":"W4393190515","doi":"10.1158/1055-9965.epi-23-1444","title":"Hypertension and Risk of Endometrial Cancer: A Pooled Analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2)","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","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":"Alberta Health Services","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Chronic Disease Prevention and Health Promotion; National Cancer Institute; Cancer Council Tasmania; National Health and Medical Research Council; World Cancer Research Fund; Canadian Institutes of Health Research; University of California, San Francisco; Centers for Disease Control and Prevention; National Institute of Environmental Health Sciences; Centro de Investigación Biomédica en Red de Cáncer; Alberta Heritage Foundation for Medical Research; California Department of Public Health; Generalitat de Catalunya; Florida Department of Health; National Institutes of Health; Texas Department of State Health Services; Centres de Recerca de Catalunya; Ministerio de Economía y Competitividad; Louisiana State University; Memorial Sloan-Kettering Cancer Center; Instituto de Salud Carlos III; Rutgers Cancer Institute of New Jersey; University of Southern California; KWF Kankerbestrijding; Emory University; European Regional Development Fund; Arizona Department of Health Services; U.S. Department of State; U.S. Public Health Service; Associazione Italiana per la Ricerca sul Cancro; National Science Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Health and Human Services; Fondation pour la Recherche Médicale; Medical Research Council; Pennsylvania Department of Health","keywords":"Endometrial cancer; Epidemiology; Medicine; Cancer; Epidemiology of cancer; Oncology; Gynecology; Internal medicine; Breast cancer","score_opus":0.07790398859470586,"score_gpt":0.3936591583032453,"score_spread":0.31575516970853945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393190515","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":[0.7363093,0.25597143,0.0007032682,0.0037201256,0.0015865694,0.0012422034,0.00035500881,0.000036474336,0.00007564574],"genre_scores_gemma":[0.9044527,0.09316706,0.0005710006,0.0004100391,0.0005167673,0.00063199416,0.0001228389,0.000025421868,0.00010223033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99208206,0.0039079464,0.002166245,0.00093507936,0.00028121978,0.00062745233],"domain_scores_gemma":[0.9838793,0.014191453,0.0010613108,0.00048535952,0.00019735086,0.00018522733],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008151535,0.0003961899,0.002744628,0.001945702,0.0000805824,0.000004728558,0.0002275086,0.00047156788,0.00057788834],"category_scores_gemma":[0.008784379,0.00025482388,0.0010530747,0.004723544,0.00066594005,0.000110591325,0.00009225394,0.00048662975,0.0000027912236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054088626,0.00022189935,0.8900603,0.00035146673,0.01354927,0.000019572379,0.00010363571,0.00013980393,0.001001777,0.00029996003,0.00069316645,0.088150285],"study_design_scores_gemma":[0.0116096875,0.0011663946,0.9531393,0.00088456535,0.02396387,0.000022556522,0.00014478975,0.00214311,0.000846001,0.00437051,0.0014191942,0.00028998885],"about_ca_topic_score_codex":0.026075196,"about_ca_topic_score_gemma":0.0033141605,"teacher_disagreement_score":0.16814336,"about_ca_system_score_codex":0.00036839343,"about_ca_system_score_gemma":0.00040720432,"threshold_uncertainty_score":0.9999904},"labels":[],"label_agreement":null},{"id":"W4395032754","doi":"10.1158/1055-9965.epi-23-1601","title":"Exercise and QUality Diet after Leukemia: A Randomized Weight Loss Trial among Adult Survivors of Childhood Leukemia in the Childhood Cancer Survivor Study","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","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":"Hospital for Sick Children","funders":"National Cancer Institute; St. Jude Children's Research Hospital; American Institute for Cancer Research","keywords":"Childhood leukemia; Childhood cancer; Medicine; Leukemia; Randomized controlled trial; Cancer; Weight loss; Gerontology; Pediatrics; Oncology; Internal medicine; Lymphoblastic Leukemia; Obesity","score_opus":0.034775165690796535,"score_gpt":0.3692929819996599,"score_spread":0.33451781630886335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395032754","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":[0.92692745,0.05764968,0.00015765853,0.0041214605,0.0024113026,0.008342902,0.0001338217,0.00014251139,0.00011319278],"genre_scores_gemma":[0.9768074,0.015461684,0.00016120067,0.0009152123,0.0008205695,0.0054391674,0.00011408936,0.00008974332,0.00019092514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.983508,0.009717243,0.0035115804,0.0016299682,0.000719177,0.0009140363],"domain_scores_gemma":[0.9921962,0.0051744245,0.0010414986,0.0010774094,0.000225222,0.0002852654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.021798542,0.000784178,0.0035850462,0.0005127646,0.00015016271,0.000041248,0.00045546604,0.00064445304,0.0002353146],"category_scores_gemma":[0.0027184763,0.00055893935,0.0010663222,0.0009902412,0.0012576364,0.00036665527,0.00019942786,0.0011024463,0.0000074779246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.36477154,0.0011940494,0.5991529,0.0014063773,0.0036250958,0.000058851372,0.01640439,0.00002813951,0.000015488285,0.00033310003,0.001392694,0.011617336],"study_design_scores_gemma":[0.20967956,0.0008440366,0.7782626,0.004241347,0.0019307196,0.000010659386,0.0018198175,0.00020648105,0.00003688172,0.002285014,0.00014593723,0.0005369192],"about_ca_topic_score_codex":0.06465256,"about_ca_topic_score_gemma":0.060769126,"teacher_disagreement_score":0.17910971,"about_ca_system_score_codex":0.0010711122,"about_ca_system_score_gemma":0.0015398884,"threshold_uncertainty_score":0.9996862},"labels":[],"label_agreement":null},{"id":"W4395032755","doi":"10.1158/1055-9965.epi-23-1343","title":"Uncovering Risks Associated with Smoking Types and Intensities in Esophageal Cancer within High-Prevalence Regions in Africa: A Comprehensive Meta-analysis","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"South African Medical Research Council; National Research Foundation","keywords":"Meta-analysis; Esophageal cancer; Medicine; Environmental health; Cancer; Smoking prevalence; Demography; Population; Internal medicine; Sociology","score_opus":0.1986103492099629,"score_gpt":0.41806048237099525,"score_spread":0.21945013316103235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395032755","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":[0.66398203,0.33177072,0.00030550125,0.0029503666,0.00014387982,0.0006712719,0.000079289035,0.00006648389,0.000030463214],"genre_scores_gemma":[0.992823,0.005214549,0.000324356,0.00022192675,0.000036780268,0.0007487931,0.00007094023,0.000024979541,0.0005346716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707055,0.00087836216,0.00059802795,0.00073761307,0.00020270204,0.0005127685],"domain_scores_gemma":[0.99824965,0.0010350822,0.00020416899,0.00024033932,0.00012882332,0.00014193887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014732907,0.0002873332,0.0013186667,0.00068590604,0.00006907891,0.000019956453,0.000082052116,0.00018251737,0.0001839374],"category_scores_gemma":[0.0003132871,0.00020929429,0.000338162,0.0012350549,0.00030901193,0.0001751531,0.000069717935,0.00044490554,0.000001715156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009077136,0.00010943093,0.8825262,0.00050479226,0.10583969,0.00070447155,0.0008580636,0.006398391,0.00005461392,0.00045708255,0.00032802898,0.001311473],"study_design_scores_gemma":[0.0013685385,0.00037466804,0.94131774,0.0009667942,0.0475718,0.000016143036,0.000266716,0.0037147426,0.0000963614,0.004053981,0.000026535714,0.00022598304],"about_ca_topic_score_codex":0.01090284,"about_ca_topic_score_gemma":0.018360747,"teacher_disagreement_score":0.32884097,"about_ca_system_score_codex":0.0009348244,"about_ca_system_score_gemma":0.0002986221,"threshold_uncertainty_score":0.9995516},"labels":[],"label_agreement":null},{"id":"W4396871707","doi":"10.1158/1055-9965.epi-24-0249","title":"Adverse Childhood Experiences, Resilience, and Cardiovascular Disease in Adult Survivors of Childhood Cancer: A Report from the Childhood Cancer Survivor Study","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"National Cancer Institute; American Lebanese Syrian Associated Charities; St. Jude Children's Research Hospital","keywords":"Medicine; Childhood cancer; Adverse Childhood Experiences; Cancer; Disease; Psychological resilience; Neglect; Population; Adverse effect; Gerontology; Psychiatry; Environmental health; Psychology; Internal medicine; Mental health","score_opus":0.029585899894329564,"score_gpt":0.349034050951764,"score_spread":0.3194481510574344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396871707","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":[0.80844337,0.17946169,0.00014888041,0.0057437746,0.0024537104,0.003218162,0.00030054824,0.00016744883,0.00006242562],"genre_scores_gemma":[0.9749908,0.01928317,0.00021445373,0.00090281776,0.0009483932,0.003225602,0.00019850643,0.00010410384,0.00013217254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99012905,0.003000587,0.0025274793,0.0024149688,0.00095064536,0.0009772633],"domain_scores_gemma":[0.9950621,0.0015305179,0.00074908894,0.0018500469,0.0002572632,0.0005509782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0063752374,0.0007900553,0.002141017,0.00040135285,0.00026617144,0.00003206875,0.0005774987,0.00037229605,0.00036608274],"category_scores_gemma":[0.002339857,0.0006225736,0.0010357563,0.0013716181,0.00088481355,0.00041471564,0.0003099984,0.00083391444,0.000006640695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052337575,0.0010580772,0.94312793,0.00028564036,0.0055007767,0.00020803914,0.01996681,0.00036324115,0.000021046666,0.00003866081,0.0018113762,0.02709505],"study_design_scores_gemma":[0.0029940908,0.0002731246,0.9753249,0.0038201855,0.002180771,0.000040546813,0.012109986,0.00031335978,0.000053385484,0.00069650816,0.0015862096,0.00060689053],"about_ca_topic_score_codex":0.14903396,"about_ca_topic_score_gemma":0.05181594,"teacher_disagreement_score":0.16654742,"about_ca_system_score_codex":0.00042598078,"about_ca_system_score_gemma":0.0019242405,"threshold_uncertainty_score":0.9996226},"labels":[],"label_agreement":null},{"id":"W4398220037","doi":"10.1158/1055-9965.epi-23-1587","title":"Evidence of Decreased Long-term Risk of Cervical Precancer after Negative Primary HPV Screens Compared with Negative Cytology Screens in a Longitudinal Cohort Study","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"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; Simon Fraser University; BC Cancer Agency; BC Centre for Disease Control; University of British Columbia; Women's Health Research Institute","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Michael Smith Health Research BC","keywords":"Medicine; Cohort; Cervical cancer; Cytology; Cohort study; Cervical screening; Cervix; Gynecology; Cervical intraepithelial neoplasia; Cancer registry; Obstetrics; Colposcopy; Cancer; Internal medicine; Pathology","score_opus":0.09356787996051978,"score_gpt":0.4200274267616735,"score_spread":0.3264595468011537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398220037","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":[0.96595377,0.02488399,0.0039231316,0.0008337051,0.00017262476,0.003616328,0.00010293197,0.00005256346,0.00046096547],"genre_scores_gemma":[0.99407685,0.0026989642,0.0014775473,0.00012161888,0.00013187961,0.001268855,0.000063772604,0.00004245485,0.00011807653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937941,0.0024724528,0.0013764984,0.0011826147,0.00049179443,0.0006825576],"domain_scores_gemma":[0.9944658,0.003555928,0.00049116614,0.00061558164,0.00057395094,0.00029754423],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034761983,0.0004068153,0.0018065581,0.0005271502,0.000059539565,0.000008965135,0.00025874807,0.0002995358,0.0027824962],"category_scores_gemma":[0.0012179821,0.00031497452,0.000346744,0.0010702237,0.0012806458,0.00024089911,0.00018354047,0.00074223214,0.0000078943585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03367804,0.0006594509,0.9361683,0.001441853,0.0027569274,0.00013294452,0.00036942278,0.00003848194,0.0001276729,0.00002030338,0.00015523321,0.02445133],"study_design_scores_gemma":[0.003753648,0.0032239596,0.9866503,0.0026670438,0.0014696287,0.000027111642,0.00017260888,0.00076215784,0.0003410448,0.0006678494,0.000005573306,0.0002591129],"about_ca_topic_score_codex":0.00719565,"about_ca_topic_score_gemma":0.024336422,"teacher_disagreement_score":0.05048192,"about_ca_system_score_codex":0.00079951686,"about_ca_system_score_gemma":0.0010745659,"threshold_uncertainty_score":0.99993026},"labels":[],"label_agreement":null},{"id":"W4399529081","doi":"10.1158/1055-9965.epi-23-1471","title":"Assessing the Relationship between Biomarkers of Exposure and Biomarkers of Potential Harm: PATH Study Wave 1 (2013 to 2014)","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":5,"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":"Center for Tobacco Products; National Institute on Drug Abuse; Centers for Disease Control and Prevention; U.S. Department of Health and Human Services; National Institutes of Health; Hamilton Health Sciences Foundation","keywords":"Harm; Medicine; Environmental health; Psychology; Social psychology","score_opus":0.1406690026008035,"score_gpt":0.43284218404673763,"score_spread":0.2921731814459341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399529081","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":[0.98376113,0.0053085797,0.0047529335,0.0037584526,0.0009398635,0.0013331547,0.000036367663,0.0000645431,0.000044957902],"genre_scores_gemma":[0.99836046,0.00017812646,0.0008205787,0.00006372868,0.00016136483,0.00014919876,0.00012796292,0.000034105142,0.00010446416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645364,0.0012604642,0.0010804129,0.0006026446,0.000274034,0.00032881106],"domain_scores_gemma":[0.9973263,0.0015024387,0.00043442115,0.00043977879,0.00015220174,0.00014481969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049730362,0.0002550015,0.000625412,0.00041056456,0.00015263748,0.000025748284,0.00012587462,0.0002933505,0.00010635044],"category_scores_gemma":[0.00074334134,0.0001909866,0.0002449964,0.00055050186,0.00033915826,0.00024800835,0.00008389458,0.00026060006,0.0000027729923],"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":[0.00019674753,0.0001000894,0.9623507,0.0002619656,0.0010961426,0.000008087293,0.00046927587,0.0000070365004,0.0030538142,0.000053219974,0.0057120463,0.02669086],"study_design_scores_gemma":[0.00089992135,0.0005143027,0.9924503,0.0008806199,0.0017380024,0.00001810285,0.0016843766,0.00014602893,0.0003415258,0.0010410271,0.00012063039,0.00016514544],"about_ca_topic_score_codex":0.0006756888,"about_ca_topic_score_gemma":0.000029330628,"teacher_disagreement_score":0.0300996,"about_ca_system_score_codex":0.00016093133,"about_ca_system_score_gemma":0.0002021539,"threshold_uncertainty_score":0.7788207},"labels":[],"label_agreement":null},{"id":"W4399626926","doi":"10.1158/1055-9965.epi-24-0096","title":"Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Medical Research Council; Ministerstvo Zdravotnictví Ceské Republiky; Division of Cancer Epidemiology and Genetics, National Cancer Institute; Pancreatic Cancer Action Network; Johns Hopkins University; World Health Organization; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; National Heart, Lung, and Blood Institute; U.S. Department of Defense","keywords":"Alcohol consumption; Single-nucleotide polymorphism; Pancreatic cancer; Genome-wide association study; Medicine; Genetic association; Genetics; Association (psychology); Cancer; Oncology; Internal medicine; Biology; Alcohol; Gene; Genotype; Psychology","score_opus":0.18039468188722138,"score_gpt":0.4563453869746758,"score_spread":0.27595070508745445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399626926","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":[0.93341976,0.031235423,0.013417732,0.019505031,0.00060863,0.0014895202,0.00008956394,0.00016756778,0.00006676024],"genre_scores_gemma":[0.9720143,0.022583123,0.00061198167,0.0019672702,0.0003970511,0.0009185861,0.00024045685,0.000030273997,0.0012369751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959865,0.001779946,0.00078337034,0.00069326855,0.00022342446,0.0005334982],"domain_scores_gemma":[0.99504566,0.0037554337,0.00042479797,0.00033815062,0.00014552123,0.0002904517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054145153,0.0002722956,0.0008813034,0.00045867768,0.00032903376,0.000040726787,0.000101557736,0.00034919806,0.00037087285],"category_scores_gemma":[0.0013634048,0.00020451681,0.00032905326,0.00070756004,0.00014768417,0.00014036921,0.000059774942,0.0004396877,0.00010418198],"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":[0.00019308482,0.000017453045,0.9711264,0.00036190497,0.0068119783,0.0000025921006,0.0002231625,0.00015042989,0.00022818767,0.000069096175,0.002272934,0.0185428],"study_design_scores_gemma":[0.00055158435,0.00010456829,0.9803093,0.0003782242,0.009103937,0.0000027765868,0.00004565696,0.0029839056,0.000042640368,0.00065994106,0.0056276224,0.00018982697],"about_ca_topic_score_codex":0.0013820213,"about_ca_topic_score_gemma":0.00075826776,"teacher_disagreement_score":0.03859451,"about_ca_system_score_codex":0.0010817715,"about_ca_system_score_gemma":0.000239266,"threshold_uncertainty_score":0.83399534},"labels":[],"label_agreement":null},{"id":"W4400215156","doi":"10.1158/1055-9965.epi-24-0243","title":"Maternal Substance Use and Childhood Cancer—Letter","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prenatal Substance Exposure Effects","field":"Medicine","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":"McGill University; Institut National de Santé Publique du Québec; Université de Montréal","funders":"","keywords":"Childhood cancer; Substance use; Medicine; Cancer; Psychiatry; Psychology; Internal medicine","score_opus":0.04067638384909533,"score_gpt":0.3409367271128146,"score_spread":0.30026034326371925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400215156","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":[0.8695534,0.11731681,0.0015948486,0.008399784,0.0021299063,0.0006555127,0.000041772688,0.00025308438,0.000054878263],"genre_scores_gemma":[0.98612624,0.007008497,0.0017302762,0.002748034,0.0008022971,0.00038915043,0.00006456768,0.000057351237,0.0010736039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976455,0.0004081359,0.0005228025,0.000753724,0.00013922091,0.00053060026],"domain_scores_gemma":[0.9987293,0.0005461512,0.00014600898,0.00031399535,0.000055531702,0.00020902551],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010420807,0.00029503318,0.0005565815,0.00016561289,0.0000774152,0.000032459215,0.00010098423,0.00026665648,0.0002671021],"category_scores_gemma":[0.0002341484,0.00024962265,0.00018958839,0.0002491186,0.00024694254,0.0004251529,0.000042824828,0.0003475897,0.000036694873],"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":[0.00039012902,0.000043340067,0.8845822,0.00045978324,0.0010322089,0.00012889199,0.0001599467,0.0000060703474,0.011631433,0.00041213908,0.04102694,0.060126923],"study_design_scores_gemma":[0.0008931399,0.00014001469,0.977038,0.0026628906,0.00033434623,0.00011749968,0.0000061356072,0.0004814769,0.0031837344,0.0019971395,0.012885759,0.0002598505],"about_ca_topic_score_codex":0.00050502125,"about_ca_topic_score_gemma":0.00064764946,"teacher_disagreement_score":0.11657282,"about_ca_system_score_codex":0.0003011306,"about_ca_system_score_gemma":0.000121975376,"threshold_uncertainty_score":0.9999956},"labels":[],"label_agreement":null},{"id":"W4400280878","doi":"10.1158/1055-9965.epi-24-0390","title":"Contribution of Prediagnostic Host Factors to Shaping the Stromal Microenvironment of Breast Cancer among Sub-Saharan African Women","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment 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":"Calgary Laboratory Services; University of Calgary","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute; National Institutes of Health; University of Ghana; Memorial Sloan-Kettering Cancer Center","keywords":"Breast cancer; Stromal cell; Medicine; Internal medicine; Oncology; Host factors; Family history; Cancer; Immunology","score_opus":0.019831471010799108,"score_gpt":0.29936486981056853,"score_spread":0.2795333987997694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400280878","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":[0.96394545,0.03091596,0.0009901739,0.0021927282,0.00055878086,0.0006434143,0.0007249672,0.000017345275,0.000011171582],"genre_scores_gemma":[0.99393106,0.004795382,0.000054728385,0.00009192621,0.0001805896,0.00071919773,0.00016616135,0.000025528801,0.00003545979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979518,0.00037311253,0.00056939176,0.00054157234,0.000111101726,0.00045300656],"domain_scores_gemma":[0.9989557,0.00025753755,0.0002959238,0.0003048839,0.000083124105,0.000102801896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068642624,0.00026216827,0.00044893706,0.000086386215,0.000090380185,0.0000060898496,0.00020620141,0.00016576912,0.00006789324],"category_scores_gemma":[0.00019557728,0.00019658922,0.0002207709,0.00018690205,0.0004495349,0.000012677189,0.00014972177,0.00009538725,0.000002002321],"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":[0.00060073857,0.00010388985,0.77543753,0.00013179747,0.002257114,0.0000013490464,0.0004253967,0.00021819248,0.21093872,0.000035121237,0.0029375728,0.006912573],"study_design_scores_gemma":[0.0004111487,0.00021267269,0.9596407,0.0004173217,0.00024350113,0.000003753191,0.00019988403,0.00004059212,0.03727045,0.00011215177,0.0012769932,0.00017084615],"about_ca_topic_score_codex":0.0007075147,"about_ca_topic_score_gemma":0.000545257,"teacher_disagreement_score":0.18420316,"about_ca_system_score_codex":0.0003521533,"about_ca_system_score_gemma":0.000116817144,"threshold_uncertainty_score":0.8016675},"labels":[],"label_agreement":null},{"id":"W4400761068","doi":"10.1158/1055-9965.epi-24-0496","title":"Nonadditive Effects of Common Genetic Variants Have a Negligent Contribution to Cancer Heritability","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"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 Institute of Allergy and Infectious Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; Strategic Research Council; Departament d'Universitats, Recerca i Societat de la Informació; Instituto de Salud Carlos III; Ontario Ministry of Research and Innovation; National Health and Medical Research Council; World Cancer Research Fund; Medical Research Council; National Human Genome Research Institute; Cancer Council Victoria; School of Medicine, Vanderbilt University; National Center for Research Resources; National Institute of General Medical Sciences; Chonnam National University Hwasun Hospital; Centers for Disease Control and Prevention; DOD Prostate Cancer Research Program; Hellenic Health Foundation; Tays; Deutsche Krebshilfe; Swedish Cancer Foundation; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Vetenskapsrådet; Stockholms Läns Landsting; Servicio Gallego de Salud; Innovationsfonden; Norris Cotton Cancer Center; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Canadian Institutes of Health Research; Cancerfonden; Royal Marsden NHS Foundation Trust; Chonnam National University; Academy of Finland; Forskningsrådet för Arbetsliv och Socialvetenskap; Gentofte Hospital; Canary Foundation; National Institute for Health and Care Research; Karolinska Institutet; University of Cambridge; ZonMw; National Institute of Environmental Health Sciences; Prostate Cancer Canada; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Fondation de France; National Cancer Research Institute; Movember Foundation; Memorial Sloan-Kettering Cancer Center; Fred Hutchinson Cancer Research Center; Vanderbilt University Medical Center; Deutsches Krebsforschungszentrum; U.S. Department of Defense; Cancer Research UK; Uniformed Services University of the Health Sciences; American Cancer Society; Associazione Italiana per la Ricerca sul Cancro; State of Connecticut Department of Public Health; Vanderbilt University; National Institutes of Health; Mike and Josie Harper Cancer Research Institute; National Institute on Minority Health and Health Disparities; European Commission","keywords":"Heritability; Dominance (genetics); Biology; Genetic association; Genome-wide association study; Missing heritability problem; Genetic architecture; Additive genetic effects; Genetics; Phenotype; Genotype; Genetic variants; Single-nucleotide polymorphism; Gene","score_opus":0.01710714660633257,"score_gpt":0.3485352261663577,"score_spread":0.3314280795600251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400761068","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":[0.9080067,0.03842524,0.04765933,0.0025853005,0.0018341807,0.0011654741,0.00022731774,0.000035389563,0.000061024733],"genre_scores_gemma":[0.99160963,0.0030957423,0.0026322613,0.00066468265,0.00037441906,0.000950395,0.00033616542,0.000030152898,0.00030655216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99636006,0.001362678,0.00083185505,0.0008033369,0.000094021845,0.0005480391],"domain_scores_gemma":[0.9983911,0.0005248351,0.00029478778,0.00040875457,0.00020419812,0.00017631645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014883318,0.0002763996,0.00061820727,0.00010967888,0.00010033778,0.0000076889055,0.00020578486,0.00046268402,0.000100948746],"category_scores_gemma":[0.0013741882,0.00026485272,0.00031353606,0.00020189854,0.00019337301,0.000007968409,0.00013917011,0.0001457263,0.000014443443],"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":[0.00048747443,0.00029765844,0.6904716,0.0004918098,0.0026009611,0.000010181951,0.00017885237,0.0014694537,0.16962327,0.0005348409,0.032511,0.10132288],"study_design_scores_gemma":[0.00058546726,0.0006239862,0.9638602,0.000390525,0.0002880977,0.0000072120874,0.000035975656,0.0014968679,0.014636303,0.005186973,0.012544086,0.0003442825],"about_ca_topic_score_codex":0.00090241025,"about_ca_topic_score_gemma":0.0012307599,"teacher_disagreement_score":0.27338862,"about_ca_system_score_codex":0.00023103163,"about_ca_system_score_gemma":0.0002698289,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W4401078258","doi":"10.1158/1055-9965.epi-24-0306","title":"Radiodensities of Skeletal Muscle and Visceral Adipose Tissues Are Prognostic Factors in Clear-Cell Renal Cell Carcinoma","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":8,"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 Waterloo","funders":"National Cancer Institute; Memorial Sloan-Kettering Cancer Center","keywords":"Adipose tissue; Renal cell carcinoma; Skeletal muscle; Medicine; Carcinoma; Pathology; Cell; Clear cell renal cell carcinoma; Internal medicine; Oncology; Biology","score_opus":0.03966000105019105,"score_gpt":0.3186691509520757,"score_spread":0.27900914990188463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401078258","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":[0.90617526,0.091764465,0.00008199695,0.00059256353,0.000337282,0.0006971072,0.000025778125,0.00005297184,0.0002725805],"genre_scores_gemma":[0.9969156,0.000955284,0.00061836955,0.000050304512,0.000111910194,0.00008925764,0.0001169693,0.000038310347,0.0011039888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976086,0.00054071937,0.00068611937,0.00061143463,0.00013445521,0.00041869588],"domain_scores_gemma":[0.99876016,0.00054167496,0.0002315274,0.0002472852,0.00005612925,0.00016319523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070818176,0.00029877256,0.00075055065,0.0003133467,0.000044956174,0.00000961867,0.0000716095,0.0002446876,0.0001196181],"category_scores_gemma":[0.00012220627,0.00024787738,0.00024290603,0.00021281691,0.00031363277,0.00011637712,0.000057338206,0.00025285003,0.000008707767],"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":[0.0003677608,0.00019975081,0.96413934,0.0016345053,0.00025263522,0.00023619241,0.00068684516,0.000017384466,0.021894218,0.00003935192,0.0018600711,0.008671924],"study_design_scores_gemma":[0.0011989722,0.0009931449,0.97955585,0.00085390883,0.0005266459,0.000039798775,0.0003772255,0.0008802942,0.01424957,0.00043145355,0.00068178144,0.00021137141],"about_ca_topic_score_codex":0.0008660104,"about_ca_topic_score_gemma":0.00021773082,"teacher_disagreement_score":0.09080918,"about_ca_system_score_codex":0.0003168161,"about_ca_system_score_gemma":0.0001596677,"threshold_uncertainty_score":0.9999973},"labels":[],"label_agreement":null},{"id":"W4401218876","doi":"10.1158/1055-9965.epi-24-0716","title":"Promise and Perils of Primary HPV Testing","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Cervical cancer; Commit; Health care; Cervical screening; Modalities; Gynecology; Cancer; Internal medicine","score_opus":0.16752782363544902,"score_gpt":0.44085613589518413,"score_spread":0.2733283122597351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401218876","genre_codex":"review","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":[0.44888046,0.4889305,0.0025580437,0.014493281,0.0011582603,0.0021866143,0.00004677036,0.0003062597,0.041439816],"genre_scores_gemma":[0.9857854,0.0053448575,0.0054745064,0.0005583393,0.0004378559,0.0002518242,0.00006836392,0.000036076213,0.0020427518],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985331,0.00023484767,0.00043953097,0.0003936942,0.00011020206,0.00028858197],"domain_scores_gemma":[0.99873626,0.00074892835,0.00007739995,0.00017286556,0.000117716336,0.00014685307],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016661995,0.00012321246,0.000457342,0.00013989328,0.0000450666,0.0000063139682,0.000056811183,0.00014647224,0.0011828357],"category_scores_gemma":[0.0008155489,0.00009961928,0.0001225326,0.00027708348,0.00029656297,0.00007750086,0.00006811179,0.00020909714,0.000007752008],"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":[0.0004639138,0.000038718,0.13380747,0.0021529456,0.00029554157,0.00001151509,0.000058294794,0.0000010543138,0.00608785,0.0002984259,0.004111753,0.8526725],"study_design_scores_gemma":[0.00084816583,0.00044018592,0.9800802,0.00053855276,0.00023823955,0.00004704806,0.00003179852,0.0015870344,0.0006462525,0.006239522,0.009178121,0.00012489826],"about_ca_topic_score_codex":0.00015902812,"about_ca_topic_score_gemma":0.000026104102,"teacher_disagreement_score":0.85254765,"about_ca_system_score_codex":0.0001781826,"about_ca_system_score_gemma":0.0003609731,"threshold_uncertainty_score":0.9997302},"labels":[],"label_agreement":null},{"id":"W4401219097","doi":"10.1158/1055-9965.epi-24-0655","title":"HPV Extended Genotyping to Triage Abnormal Cervical Cancer Screens—Balancing the Harms and Benefits of an Additional Triage Test before Direct Colposcopy Referral","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Women's Health Research Institute","funders":"","keywords":"Colposcopy; Referral; Triage; Medicine; Genotyping; Cervical cancer; Population; Obstetrics; Cancer screening; Cervical screening; Cervical cancer screening; Gynecology; Cancer; Family medicine; Internal medicine; Emergency medicine; Genotype","score_opus":0.08161707564452507,"score_gpt":0.41402666256696713,"score_spread":0.33240958692244205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401219097","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":[0.82735634,0.10649336,0.0016065557,0.043971546,0.0025450878,0.0057079503,0.0064063063,0.00045216474,0.005460712],"genre_scores_gemma":[0.99046123,0.001983288,0.0014761974,0.0017006143,0.0014818563,0.001063451,0.0009362541,0.000059561502,0.00083757116],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99674016,0.0006089265,0.0008571069,0.0007924371,0.0003364702,0.0006649085],"domain_scores_gemma":[0.997024,0.0017663686,0.00017284625,0.0003862012,0.00023655812,0.0004140301],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028730575,0.0002972019,0.000803682,0.0002604174,0.00022700777,0.0000294412,0.00021660123,0.00029115804,0.010082506],"category_scores_gemma":[0.001251884,0.00021061646,0.0002616824,0.0005850434,0.0003397482,0.00021237465,0.00014740937,0.00050038175,0.00001297014],"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":[0.0061947345,0.00024184486,0.055051938,0.0010939749,0.0011376669,0.000029236919,0.0004508312,0.00011310353,0.0020876366,0.00093903305,0.030717947,0.9019421],"study_design_scores_gemma":[0.0018319294,0.0011656361,0.98111886,0.00074351474,0.0003867746,0.000035494813,0.00010658019,0.004437666,0.00080490444,0.0012822143,0.007857753,0.0002287004],"about_ca_topic_score_codex":0.0014133729,"about_ca_topic_score_gemma":0.0036843866,"teacher_disagreement_score":0.9260669,"about_ca_system_score_codex":0.0004087732,"about_ca_system_score_gemma":0.00049785775,"threshold_uncertainty_score":0.99082243},"labels":[],"label_agreement":null},{"id":"W4402510707","doi":"10.1158/1055-9965.epi-24-0263","title":"Associations of Prostate Tumor Immune Landscape with Vigorous Physical Activity and Prostate Cancer Progression","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","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":"Trinity College","funders":"Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; National Cancer Institute; University of North Carolina at Chapel Hill; China Scholarship Council","keywords":"Prostate cancer; Medicine; Prostatectomy; Tumor microenvironment; Immune system; Prostate; Oncology; Cancer; Internal medicine; Tumor-infiltrating lymphocytes; Immunotherapy; Cancer research; Immunology","score_opus":0.03036564266910135,"score_gpt":0.38130270786343373,"score_spread":0.3509370651943324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402510707","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":[0.94803554,0.044957735,0.00011519205,0.004882523,0.00037769967,0.0012574843,0.00015387284,0.0001184843,0.00010147358],"genre_scores_gemma":[0.99381864,0.0039179167,0.0005646772,0.00011518772,0.00015796465,0.0006127765,0.0001150676,0.00004133776,0.0006564087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812245,0.00033002874,0.0004408159,0.0005453176,0.0001727158,0.00038866873],"domain_scores_gemma":[0.99885315,0.00028937685,0.00040944852,0.00022763372,0.0001188684,0.00010151791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010080087,0.0002619424,0.00070615544,0.00015362163,0.00011196174,0.000015294294,0.000065825756,0.00013259715,0.00006894659],"category_scores_gemma":[0.0000795888,0.00018410811,0.00020797345,0.00040780156,0.00037600484,0.00020264377,0.000041677093,0.00025667567,0.0000022027282],"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":[0.007829452,0.00040934674,0.47323614,0.0009891636,0.0027139806,0.000027136879,0.00077238376,0.000010470612,0.070660815,0.00010081541,0.0020772922,0.441173],"study_design_scores_gemma":[0.0028806394,0.0012436953,0.97477585,0.0031057128,0.00077867374,0.0000514245,0.00010311724,0.0025190422,0.011598548,0.00070072105,0.001930906,0.00031167147],"about_ca_topic_score_codex":0.00077877124,"about_ca_topic_score_gemma":0.00020707268,"teacher_disagreement_score":0.5015397,"about_ca_system_score_codex":0.00023857619,"about_ca_system_score_gemma":0.00043709707,"threshold_uncertainty_score":0.7507711},"labels":[],"label_agreement":null},{"id":"W4402708788","doi":"10.1158/1538-7755.disp24-b006","title":"Abstract B006: Reduced survival outcomes in lower income quintile groups for women with breast cancer treated with chemotherapy in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; London Health Sciences Centre","funders":"","keywords":"Medicine; Breast cancer; Chemotherapy; Cancer; Oncology; Demography; Internal medicine","score_opus":0.01568358051760596,"score_gpt":0.2962928532587984,"score_spread":0.2806092727411924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402708788","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":[0.9932998,0.0022486309,0.0000712957,0.0027846482,0.00050951005,0.0007619745,0.00021083419,0.000026197149,0.00008709761],"genre_scores_gemma":[0.9957928,0.00036766133,0.00019947888,0.0002626808,0.0001070165,0.0022637586,0.00018903312,0.000058049503,0.0007594863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976902,0.00015034938,0.0005066445,0.00085824425,0.00011161606,0.000682916],"domain_scores_gemma":[0.9992119,0.00013462886,0.00017956065,0.00029554192,0.000075815624,0.00010255338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005488035,0.0004113516,0.00069440604,0.00012494803,0.0000614463,0.000012612434,0.00016234248,0.00021550867,0.00018234298],"category_scores_gemma":[0.000023229919,0.00030654727,0.00009556243,0.00022462795,0.00016104798,0.000022458833,0.00003722909,0.00017810582,7.05863e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005228815,0.000121832556,0.98469347,0.00009888567,0.0015102006,0.000020994301,0.00011052283,0.00016276728,0.0015619791,0.0000146644825,0.0009870706,0.005488798],"study_design_scores_gemma":[0.002958782,0.00028270445,0.9934575,0.00040416582,0.000062472216,0.000011445811,0.00012984527,0.000022641263,0.00047120513,0.00013728264,0.0016917774,0.0003702116],"about_ca_topic_score_codex":0.82182384,"about_ca_topic_score_gemma":0.99332356,"teacher_disagreement_score":0.17149973,"about_ca_system_score_codex":0.0021524474,"about_ca_system_score_gemma":0.0014739913,"threshold_uncertainty_score":0.99993867},"labels":[],"label_agreement":null},{"id":"W4402708859","doi":"10.1158/1538-7755.disp24-b104","title":"Abstract B104: Identifying gaps in equitable cancer care: insights from US-based oncology professionals engaged in continuing medical education","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","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":"Axdev Group (Canada)","funders":"","keywords":"Medicine; Continuing education; Cancer; Continuing medical education; Health professionals; Oncology; Family medicine; Internal medicine; Medical education; Health care; Political science","score_opus":0.05385753629538165,"score_gpt":0.49713823154001013,"score_spread":0.4432806952446285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402708859","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":[0.68369806,0.29722622,0.0013317398,0.009518423,0.0067165573,0.0009529396,0.0000124950175,0.00009188758,0.00045166496],"genre_scores_gemma":[0.97933227,0.010737413,0.003230692,0.0035418894,0.0009786779,0.0013609934,0.00034921858,0.000044803775,0.0004240427],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99461305,0.0025476785,0.0011897986,0.0008381441,0.00021744313,0.0005939006],"domain_scores_gemma":[0.9947862,0.0043175165,0.00033599118,0.0002705022,0.00009558864,0.00019420001],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039304905,0.00028976382,0.0009382484,0.0005231156,0.00015051944,0.000008481833,0.00019925128,0.0009905731,0.0016632902],"category_scores_gemma":[0.002386875,0.0002497513,0.00019337151,0.00048028288,0.00032673066,0.00027510413,0.00005187323,0.0016541412,0.000018197383],"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":[0.001791901,0.0008331416,0.43952748,0.0010367504,0.00052247476,0.0002832527,0.0039733434,0.00024635668,0.008029088,0.00046743097,0.009082381,0.5342064],"study_design_scores_gemma":[0.007226531,0.00039103176,0.8738456,0.025792347,0.00032181403,0.000028766015,0.0037705458,0.0044569666,0.0016894102,0.015171217,0.06663439,0.000671422],"about_ca_topic_score_codex":0.0018419428,"about_ca_topic_score_gemma":0.010268309,"teacher_disagreement_score":0.533535,"about_ca_system_score_codex":0.0024842669,"about_ca_system_score_gemma":0.0035786869,"threshold_uncertainty_score":0.99999547},"labels":[],"label_agreement":null},{"id":"W4402708888","doi":"10.1158/1538-7755.disp24-c022","title":"Abstract C022: Pathomics-based classifiers for inferring breast cancer genomic assays and prognosis in sub-Saharan Africa: Results from the Ghana Breast Health Study","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Breast cancer; Medicine; Oncology; Internal medicine; Cancer; Gynecology","score_opus":0.05152981519171996,"score_gpt":0.34330348387259935,"score_spread":0.2917736686808794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402708888","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":[0.90741456,0.07192417,0.0013206517,0.011248388,0.0010084017,0.0020154163,0.005019172,0.000031880307,0.00001734113],"genre_scores_gemma":[0.98689795,0.009728547,0.0003374334,0.0005500215,0.00051275274,0.0011097497,0.0007944294,0.00005013579,0.00001901025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710333,0.0004184796,0.00084906386,0.0009966907,0.000079593265,0.00055284135],"domain_scores_gemma":[0.9983345,0.0007632654,0.00033487708,0.00035479898,0.00006717051,0.00014535399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002635577,0.00031029346,0.00045071996,0.00010376561,0.00017924832,0.000051384355,0.00023161399,0.0002557174,0.000011017235],"category_scores_gemma":[0.00023770855,0.00026400122,0.00019647407,0.00016235943,0.00017312019,0.000013666867,0.0001059073,0.00021911463,0.0000016801195],"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":[0.0046862564,0.00054996077,0.57735354,0.00032700246,0.0017511352,0.000014636057,0.0006492347,0.0017044202,0.035888005,0.000060318718,0.07235438,0.3046611],"study_design_scores_gemma":[0.002790618,0.00033520235,0.9833025,0.0005238596,0.00017866501,0.000008461496,0.00026752142,0.0034013544,0.00041944982,0.00060802855,0.007753064,0.00041130424],"about_ca_topic_score_codex":0.0041963863,"about_ca_topic_score_gemma":0.013700926,"teacher_disagreement_score":0.4059489,"about_ca_system_score_codex":0.0003692064,"about_ca_system_score_gemma":0.0007438215,"threshold_uncertainty_score":0.9999812},"labels":[],"label_agreement":null},{"id":"W4402708987","doi":"10.1158/1538-7755.disp24-c111","title":"Abstract C111: Characterization of kisspeptin receptor signaling pathways in cervical cancer: Unveiling novel mechanisms and therapeutic potentials","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","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":"Université de Montréal","funders":"","keywords":"Kisspeptin; Cervical cancer; Medicine; Signal transduction; Cancer research; Cancer; Receptor; Neuroscience; Internal medicine; Biology; Cell biology","score_opus":0.09057304773420856,"score_gpt":0.34093791477382285,"score_spread":0.2503648670396143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402708987","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":[0.99190795,0.0019224174,0.0038192582,0.0008270562,0.0009222846,0.00040608988,0.00008902518,0.000079895675,0.000026048068],"genre_scores_gemma":[0.99626845,0.002307689,0.00047288035,0.00060502015,0.00014072917,0.00009364935,0.000028456318,0.000034953093,0.00004819677],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745375,0.00047939815,0.0007963396,0.00077406334,0.000099243116,0.00039722156],"domain_scores_gemma":[0.99878836,0.00062174693,0.0003308414,0.00014911346,0.000032143467,0.00007777943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095750374,0.00023002896,0.00048492174,0.00019047993,0.00007875729,0.000018495462,0.0001696594,0.00019813926,0.0002754475],"category_scores_gemma":[0.0001875531,0.0002073846,0.00014232747,0.00031596815,0.00018804905,0.00017941852,0.0000768821,0.00024504433,0.000009888436],"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":[0.00015706572,0.00006795974,0.00094472454,0.00021004984,0.000038946237,0.000004240299,0.000076482305,0.00011197055,0.9656265,0.0048814416,0.000012221724,0.027868396],"study_design_scores_gemma":[0.0006665699,0.00032591523,0.09081764,0.0014167146,0.000080609905,0.000010993779,0.00006278435,0.007202144,0.87700397,0.021265801,0.0007185313,0.0004283375],"about_ca_topic_score_codex":0.00016565493,"about_ca_topic_score_gemma":0.000028427588,"teacher_disagreement_score":0.08987291,"about_ca_system_score_codex":0.00008336805,"about_ca_system_score_gemma":0.00009386935,"threshold_uncertainty_score":0.84568983},"labels":[],"label_agreement":null},{"id":"W4402708995","doi":"10.1158/1538-7755.disp24-c051","title":"Abstract C051: Impact of population pharmacogenomics on cisplatin-induced neurotoxicities","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Princess Margaret Cancer Centre","funders":"","keywords":"Pharmacogenomics; Medicine; Cisplatin; Population; Environmental health; Internal medicine; Pharmacology; Chemotherapy","score_opus":0.12669799011986316,"score_gpt":0.4877148667696302,"score_spread":0.36101687664976706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402708995","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":[0.98810947,0.007041017,0.000045632372,0.0013581829,0.0015694734,0.00084273075,0.000067355344,0.00010776205,0.00085836445],"genre_scores_gemma":[0.9969716,0.0009400922,0.00016277393,0.00031497434,0.00043552395,0.00016397137,0.00034908016,0.00003671132,0.0006252499],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982198,0.000247658,0.0006604281,0.00044355393,0.00009525909,0.00033328313],"domain_scores_gemma":[0.9987634,0.00060027605,0.00026189227,0.0001961589,0.00005015326,0.00012810765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069559127,0.00025572823,0.0005735358,0.00029784467,0.000055665878,0.000005948433,0.00007154915,0.00020786,0.001724033],"category_scores_gemma":[0.00008909115,0.00020911866,0.000545525,0.00021420137,0.00008528122,0.00010888225,0.000020501098,0.0002481485,0.000042762877],"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":[0.0057003153,0.00051365566,0.32950172,0.0007724219,0.005022856,0.00007098132,0.00019109352,0.00062526204,0.39153132,0.00042979195,0.0321644,0.23347618],"study_design_scores_gemma":[0.0021846876,0.0018353427,0.9772739,0.00069005,0.0009421289,0.000038707338,0.000015720905,0.0033369502,0.010085236,0.0022119246,0.0011342401,0.00025112185],"about_ca_topic_score_codex":0.0009796782,"about_ca_topic_score_gemma":0.000044106186,"teacher_disagreement_score":0.64777213,"about_ca_system_score_codex":0.00060713966,"about_ca_system_score_gemma":0.00021872808,"threshold_uncertainty_score":0.99918854},"labels":[],"label_agreement":null},{"id":"W4403097533","doi":"10.1158/1055-9965.epi-24-0926","title":"Plasma Ghrelin and Risks of Sex-Specific, Site-Specific, and Early-Onset Colorectal Cancer: A Mendelian Randomization Analysis","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":1,"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; Hamilton Health Sciences","funders":"Swedish Cancer Foundation; National Institute of Environmental Health Sciences; National Institute on Aging; Univerzita Karlova v Praze; McGill University; Generalitat de Catalunya; NIHR Imperial Biomedical Research Centre; European Cooperation in Science and Technology; National Cancer Institute; European Regional Development Fund; National Human Genome Research Institute; Cancer Council Victoria; Ontario Ministry of Research and Innovation; Deutsche Krebshilfe; National Health and Medical Research Council; Medical Research Council; Knut och Alice Wallenbergs Stiftelse; Canadian Institutes of Health Research; National Institute for Health and Care Research; Centers for Disease Control and Prevention; Chonnam National University Hwasun Hospital; Junta de Castilla y León; Moffitt Cancer Center; Umeå Universitet; Stockholm läns landsting; Xunta de Galicia; World Cancer Research Fund; Region Skåne; Florida Department of Health; National Institutes of Health; Division of Cancer Prevention, National Cancer Institute; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Association Anne de Bretagne Genetique; Centre Hospitalier Universitaire de Nantes; Mutuelle Générale de l'Education Nationale; Bundesministerium für Bildung und Frauen; School of Public Health, Imperial College London; Karolinska Institutet; Associazione Italiana per la Ricerca sul Cancro; Conseil Régional des Pays de la Loire; Vetenskapsrådet; Stockholms Läns Landsting; National Institute of Diabetes and Digestive and Kidney Diseases; American Institute for Cancer Research; Ministerstvo Zdravotnictví Ceské Republiky; Ligue Contre le Cancer; Federación Española de Enfermedades Raras; Cancerfonden; Fundación Científica Asociación Española Contra el Cáncer; University of Cambridge; Génome Québec; ZonMw; Institut Gustave-Roussy; Herzfelder'sche Familienstiftung; Grantová Agentura České Republiky; Canadian Cancer Society Research Institute; Marshfield Clinic Research Foundation; Institut National de la Santé et de la Recherche Médicale; Damon Runyon Cancer Research Foundation; University of Bristol; Imperial College London; Food Standards Agency; Chonnam National University; Centres de Recerca de Catalunya; Office of Research Infrastructure Programs, National Institutes of Health; State of Maryland; Xarxa de Bancs de Tumors de Catalunya; World Health Organization; Danish Cancer Society Research Center; KWF Kankerbestrijding; National Research Council; Wereld Kanker Onderzoek Fonds; Brigham and Women's Hospital; Center for Strategic Scientific Initiatives, National Cancer Institute; Agència de Gestió d'Ajuts Universitaris i de Recerca; Harvard T.H. Chan School of Public Health; Victorian Cancer Agency; Johns Hopkins University; Canadian Cancer Society; Memorial Sloan-Kettering Cancer Center; Pelotonia; Deutsches Krebsforschungszentrum; Ministerio de Economía y Competitividad; National Center for Advancing Translational Sciences; Bundesministerium für Bildung und Forschung; University of South Florida; Transcan; Biobanco Vasco; Fred Hutchinson Cancer Research Center; Wageningen University and Research; Cancer Research UK; VicHealth; Emory University; U.S. Department of Health and Human Services; Instituto de Salud Carlos III; National Heart, Lung, and Blood Institute; Ohio State University; American Cancer Society; Mike and Josie Harper Cancer Research Institute","keywords":"Mendelian randomization; Ghrelin; Oncology; Colorectal cancer; Medicine; Internal medicine; Cancer; Confidence interval; Genome-wide association study; Meta-analysis; Endocrinology; Genetics; Biology; Genotype; Hormone; Genetic variants; Gene; Single-nucleotide polymorphism","score_opus":0.07506468675980073,"score_gpt":0.36093651000043026,"score_spread":0.28587182324062954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403097533","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":[0.9779423,0.012823697,0.0041719824,0.003960664,0.00037094383,0.00047823554,0.00010412247,0.00008392596,0.000064129104],"genre_scores_gemma":[0.9725591,0.026138222,0.0005552856,0.00025200864,0.00011923656,0.00010609148,0.00004172363,0.000018960223,0.000209367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969025,0.0010571294,0.00073483447,0.0008464104,0.00014967457,0.00030945486],"domain_scores_gemma":[0.99789494,0.0014241744,0.00031958518,0.00019779817,0.00005508753,0.000108397806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014959687,0.00022952592,0.00064702367,0.00044085833,0.00016591453,0.00003921432,0.00011443461,0.00026502486,0.00022267044],"category_scores_gemma":[0.00017645342,0.00020968259,0.00022624612,0.00074270845,0.00045724964,0.00020619214,0.00006795098,0.00019213281,0.0000072617604],"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":[0.0022706147,0.000069966656,0.781163,0.00017372821,0.0009221359,0.000017239552,0.0007676175,0.0012347923,0.11383562,0.0011396293,0.009089393,0.089316264],"study_design_scores_gemma":[0.004566686,0.00032850314,0.7610459,0.00036490714,0.0011011175,0.000028527944,0.000107448745,0.060148306,0.13002837,0.007061061,0.034485545,0.0007336385],"about_ca_topic_score_codex":0.00043445727,"about_ca_topic_score_gemma":0.00023310636,"teacher_disagreement_score":0.08858263,"about_ca_system_score_codex":0.00009443244,"about_ca_system_score_gemma":0.000050432445,"threshold_uncertainty_score":0.8550608},"labels":[],"label_agreement":null},{"id":"W4403425818","doi":"10.1158/1055-9965.epi-24-0743","title":"Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","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 Toronto; Public Health Ontario; Amgen (Canada); Lunenfeld-Tanenbaum Research Institute","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Health and Medical Research Council; Medical Research Council; National Cancer Institute; National Institutes of Health; Cancer Australia; National Breast Cancer Foundation","keywords":"Medicine; Quartile; Demography; Young adult; Proportional hazards model; Breast cancer; Cohort; Cohort study; Gerontology; Internal medicine; Cancer; Confidence interval","score_opus":0.03221590064283,"score_gpt":0.3703258720793106,"score_spread":0.3381099714364806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403425818","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":[0.9908383,0.0040673744,0.00018654784,0.004083006,0.00023960053,0.00039092373,0.00008022817,0.000096869284,0.000017144084],"genre_scores_gemma":[0.9956762,0.0033057695,0.00012615073,0.000092367314,0.0005375021,0.0000988776,0.0000068398804,0.000021937441,0.00013435884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983761,0.00035826332,0.00020032255,0.0005915983,0.00009200383,0.0003817622],"domain_scores_gemma":[0.9992346,0.00020603632,0.0001287141,0.00016447743,0.000026231715,0.00023991079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047479337,0.00018962282,0.00056219916,0.00008552406,0.00012094336,0.00001313007,0.000046981968,0.0001641729,0.000017704977],"category_scores_gemma":[0.00008211034,0.0001644845,0.00013439327,0.00016784755,0.00031935665,0.0002458631,0.000068481975,0.0004882643,0.0000054729567],"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":[0.0010451775,0.00027656415,0.6262203,0.0011215778,0.00041126352,0.000037435133,0.00064969895,0.0000014832978,0.0068594175,0.00019260048,0.0002696472,0.36291486],"study_design_scores_gemma":[0.00064662634,0.00022070238,0.9920882,0.0013259237,0.0002706854,0.00003987122,0.000023189781,0.0010227123,0.00022914384,0.003919363,0.00007679674,0.00013678773],"about_ca_topic_score_codex":0.0016999796,"about_ca_topic_score_gemma":0.00029958133,"teacher_disagreement_score":0.36586794,"about_ca_system_score_codex":0.00018657281,"about_ca_system_score_gemma":0.00012480434,"threshold_uncertainty_score":0.67074835},"labels":[],"label_agreement":null},{"id":"W4403540821","doi":"10.1158/1055-9965.epi-24-0636","title":"Risk of Developing a Subsequent Primary Cancer among Adult Cancer Survivors","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Arnie Charbonneau Cancer Institute, University of Calgary","keywords":"Medicine; Cancer; Cancer registry; Incidence (geometry); Population; Lung cancer; Colorectal cancer; Breast cancer; Cervix; Demography; Gynecology; Internal medicine; Environmental health","score_opus":0.047413331702615226,"score_gpt":0.36670747027632944,"score_spread":0.3192941385737142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403540821","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":[0.8599637,0.12327777,0.0041281027,0.006118807,0.003787818,0.0011884548,0.00029174017,0.00021888428,0.0010246881],"genre_scores_gemma":[0.8359452,0.14908066,0.0043043955,0.0035057943,0.001009626,0.002048879,0.00055171043,0.00015186015,0.0034018904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959506,0.0007846834,0.0013199393,0.0009714912,0.00025759824,0.00071572926],"domain_scores_gemma":[0.9977274,0.0006662535,0.0006038055,0.0004582769,0.00029767523,0.00024660863],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019659752,0.00043596193,0.001165552,0.0003726842,0.00013203235,0.000012305047,0.00021446722,0.00043052202,0.0012477994],"category_scores_gemma":[0.0002750471,0.0003781556,0.0005844167,0.0005925229,0.00051987224,0.00030828538,0.000092764174,0.0005378932,0.000013103418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068659533,0.000045360164,0.8457031,0.0018583469,0.003042587,0.000023571702,0.0003499039,0.00016517204,0.0028367883,0.0004445917,0.009659055,0.13518488],"study_design_scores_gemma":[0.0015890797,0.000181021,0.967771,0.004400096,0.0014651684,0.000019432542,0.00011232744,0.002890051,0.0032667085,0.0011954047,0.016558954,0.00055075716],"about_ca_topic_score_codex":0.038795438,"about_ca_topic_score_gemma":0.020175382,"teacher_disagreement_score":0.13463412,"about_ca_system_score_codex":0.0018659439,"about_ca_system_score_gemma":0.0020633936,"threshold_uncertainty_score":0.999867},"labels":[],"label_agreement":null},{"id":"W4404527613","doi":"10.1158/1055-9965.epi-24-1239","title":"Socioeconomic Inequalities in Participation in Colorectal Cancer Screening in Ontario, Canada: A Decomposition Analysis","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Canada Research Chairs","keywords":"Socioeconomic status; Colorectal cancer; Inequality; Medicine; Colorectal cancer screening; Cancer; Demography; Gerontology; Environmental health; Sociology; Internal medicine; Mathematics; Population; Colonoscopy","score_opus":0.058344142379470186,"score_gpt":0.3877796030718366,"score_spread":0.32943546069236646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404527613","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":[0.988487,0.0064009465,0.0015903418,0.0022963344,0.0005930455,0.0004783785,0.000014356629,0.00004887546,0.00009072855],"genre_scores_gemma":[0.9977775,0.00025752076,0.00036989507,0.00024063942,0.00008061294,0.00091166055,0.0001969772,0.000016941643,0.00014821063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973314,0.00057543773,0.00094552664,0.0005864624,0.00010620318,0.00045496962],"domain_scores_gemma":[0.99912816,0.00045697446,0.0001737593,0.0001150247,0.000036113808,0.00008997905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017568041,0.00020528212,0.00070381624,0.00093579665,0.00004296234,0.000012831592,0.0000594131,0.00023009958,0.00045778038],"category_scores_gemma":[0.00010895133,0.00021943368,0.00019108756,0.00083062344,0.000067384186,0.00020004658,0.000028442544,0.00044570275,0.0000021960884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020551775,0.000042072108,0.9711104,0.000072983516,0.00054479635,0.000026833071,0.00053348206,0.007349498,0.00036831875,0.00003869857,0.000285437,0.017572297],"study_design_scores_gemma":[0.000920256,0.00019498295,0.94470227,0.0006183249,0.00032415704,0.000004164866,0.00018579565,0.051878426,0.0003593423,0.00046489912,0.0001599955,0.00018741518],"about_ca_topic_score_codex":0.98293173,"about_ca_topic_score_gemma":0.99960524,"teacher_disagreement_score":0.044528928,"about_ca_system_score_codex":0.0053464016,"about_ca_system_score_gemma":0.0015278994,"threshold_uncertainty_score":0.9984719},"labels":[],"label_agreement":null},{"id":"W4405073362","doi":"10.1158/1055-9965.epi-24-0836","title":"Biomarkers of Exposure to Nicotine and Selected Toxicants in Individuals Who Use Alternative Tobacco Products Sold in Japan and Canada from 2018 to 2019","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":6,"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; University of Waterloo","funders":"National Cancer Institute; Canadian Institutes of Health Research; Ontario Institute for Cancer Research","keywords":"Toxicant; Nicotine; Acrolein; Toxicology; Environmental health; Medicine; Toxicity; Chemistry; Biology; Internal medicine","score_opus":0.044732294396304814,"score_gpt":0.3418853223452254,"score_spread":0.29715302794892057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405073362","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":[0.991077,0.0027992998,0.000038167207,0.004458167,0.0005370079,0.00092722423,0.00013745169,0.000019592271,0.000006110806],"genre_scores_gemma":[0.99814636,0.00044025917,0.00046642055,0.00038958134,0.00007249376,0.00011289225,0.00018101999,0.000019639407,0.00017133719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789023,0.00038321957,0.0006237302,0.000641872,0.00014464564,0.00031628733],"domain_scores_gemma":[0.99899524,0.00041743246,0.00013959472,0.00020551604,0.00008899117,0.00015319821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080936,0.00019523362,0.0005386176,0.00039809942,0.0000236588,0.000011196497,0.00007297216,0.00016890412,0.00003242385],"category_scores_gemma":[0.00091725687,0.0001830889,0.000028872473,0.0006361987,0.000074685224,0.0001482959,0.00006362368,0.0001659092,5.063711e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024711495,0.000039193863,0.9595923,0.00006625582,0.00021477239,0.0000056086456,0.0005144052,0.000014236431,0.012123237,0.000010136328,0.012093991,0.015078778],"study_design_scores_gemma":[0.00085593935,0.00026275704,0.99198306,0.0014436294,0.00011900073,0.0000047238304,0.00017367605,0.000053088646,0.0044943886,0.00010810943,0.0003400337,0.00016159657],"about_ca_topic_score_codex":0.48213682,"about_ca_topic_score_gemma":0.38434902,"teacher_disagreement_score":0.09778779,"about_ca_system_score_codex":0.000410855,"about_ca_system_score_gemma":0.0004371574,"threshold_uncertainty_score":0.7466148},"labels":[],"label_agreement":null},{"id":"W4405618394","doi":"10.1158/1055-9965.epi-24-1154","title":"Plasma <i>n</i> -3 Polyunsaturated Fatty Acid Levels and Colorectal Cancer Risk in the UK Biobank: Evidence of Nonlinearity, as Well as Tumor Site- and Sex-Specificity","year":2024,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Fatty Acid Research and Health","field":"Nursing","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":"University of British Columbia","funders":"Royal College of Surgeons of England; National Institute for Health and Care Research","keywords":"Polyunsaturated fatty acid; Biobank; Colorectal cancer; Medicine; Biomarker; Internal medicine; Oncology; Physiology; Cancer; Endocrinology; Fatty acid; Bioinformatics; Biology; Biochemistry","score_opus":0.06711457180235919,"score_gpt":0.4002041290937765,"score_spread":0.3330895572914173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405618394","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":[0.9225918,0.06602422,0.00015664332,0.009192048,0.00081057387,0.00090112234,0.0001978746,0.00004919191,0.00007654277],"genre_scores_gemma":[0.98857474,0.009492518,0.00082142575,0.00067658344,0.00018272144,0.00013481315,0.00003455884,0.000023481773,0.00005917395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994431,0.0031205604,0.00077141036,0.0007755132,0.00023002177,0.0006714842],"domain_scores_gemma":[0.99633455,0.0028347205,0.0003125428,0.0002551271,0.0000844468,0.0001786017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005650762,0.00028873104,0.000592086,0.00024280405,0.00027958897,0.000049200327,0.00024111611,0.000295456,0.0002621344],"category_scores_gemma":[0.0012486923,0.00021620409,0.00012685834,0.0005880878,0.00082201307,0.00026386965,0.00011639459,0.0008967707,0.000027001912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004194798,0.0001140094,0.851494,0.00097210077,0.00024698724,0.00005203113,0.0011753177,0.000023382485,0.087192185,0.00015667766,0.0070018084,0.04737668],"study_design_scores_gemma":[0.0013923594,0.0012829159,0.8781304,0.0029654172,0.00020190504,0.00016122565,0.0005501987,0.010256273,0.097004056,0.0056893528,0.0019260447,0.00043987992],"about_ca_topic_score_codex":0.01710248,"about_ca_topic_score_gemma":0.014156857,"teacher_disagreement_score":0.06598294,"about_ca_system_score_codex":0.00029139686,"about_ca_system_score_gemma":0.0003377541,"threshold_uncertainty_score":0.9894427},"labels":[],"label_agreement":null},{"id":"W4407085112","doi":"10.1158/1055-9965.epi-24-1534","title":"Waist Circumference, a Body Shape Index, and Molecular Subtypes of Colorectal Cancer: A Pooled Analysis of Four Cohort Studies","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Heart, Lung, and Blood Institute; National Health and Medical Research Council; National Cancer Institute; U.S. Department of Health and Human Services; Cancer Research UK; National Institutes of Health; American Cancer Society; World Health Organization","keywords":"Colorectal cancer; Internal medicine; Body mass index; Oncology; Medicine; KRAS; Cancer; Waist; Cohort; Microsatellite instability; Biology; Genetics; Allele","score_opus":0.03714375494909047,"score_gpt":0.37398397518750043,"score_spread":0.33684022023841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407085112","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":[0.95157164,0.04318185,0.0028784783,0.0011976635,0.00033204604,0.0005552959,0.000028199853,0.00004076064,0.0002140745],"genre_scores_gemma":[0.99436927,0.004577769,0.00034389537,0.00018376119,0.0000232337,0.0003160736,0.000037803464,0.000010194817,0.00013800153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788547,0.00040808303,0.0007907686,0.00051899714,0.00013834723,0.00025832403],"domain_scores_gemma":[0.998308,0.00047764802,0.0005419021,0.00022535629,0.00036997857,0.000077123594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011976458,0.00021051991,0.0013472531,0.0007401084,0.000068848494,0.0000028482732,0.00008634304,0.00023165508,0.00005687596],"category_scores_gemma":[0.0007562926,0.00019171931,0.00036210087,0.0014357755,0.00044648827,0.000052537216,0.0000787169,0.00016015657,2.3293366e-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":[0.004591074,0.00005821973,0.93149483,0.00032715968,0.025060462,0.0000035076453,0.000060958493,0.00009689548,0.0148764355,0.00022728456,0.00034574713,0.022857403],"study_design_scores_gemma":[0.0011747238,0.0007212548,0.9649958,0.0005982262,0.012327582,0.000004205418,0.00011653775,0.012338688,0.0057799793,0.0017294486,0.00007273521,0.00014080119],"about_ca_topic_score_codex":0.0019593614,"about_ca_topic_score_gemma":0.0016630056,"teacher_disagreement_score":0.042797636,"about_ca_system_score_codex":0.0002457344,"about_ca_system_score_gemma":0.00028721796,"threshold_uncertainty_score":0.7818087},"labels":[],"label_agreement":null},{"id":"W4407230022","doi":"10.1158/1055-9965.epi-34-2-hi","title":"Selected Articles from This Issue","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; History","score_opus":0.03596347178506975,"score_gpt":0.382378986352844,"score_spread":0.34641551456777425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407230022","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":[0.8581953,0.09938605,0.00910319,0.027079837,0.002773637,0.0011580576,0.0000306924,0.00029019432,0.0019830388],"genre_scores_gemma":[0.9654695,0.010691775,0.0054043834,0.0071144933,0.00081553473,0.00030347615,0.0005084042,0.000035959874,0.009656473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784267,0.0006567808,0.00054648437,0.00045547643,0.000090562186,0.00040805232],"domain_scores_gemma":[0.9987184,0.00043988862,0.00014200759,0.00039248474,0.00013432176,0.00017291366],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010911918,0.00016827774,0.0006245105,0.0001691776,0.00011424932,0.000003851682,0.00007914463,0.00030573393,0.0011126939],"category_scores_gemma":[0.0010229736,0.0001410666,0.00034305724,0.00049,0.00013455321,0.00005332498,0.000035005414,0.00022456126,0.00010292295],"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":[0.00060179236,0.00007039322,0.67250675,0.00011323198,0.0017175011,0.0000064668748,0.000060011287,0.0000042774795,0.002237659,0.00009585677,0.14071706,0.18186899],"study_design_scores_gemma":[0.0016547245,0.00007663988,0.86173177,0.00040202355,0.0007011175,0.0000052081127,0.000050919178,0.00037115748,0.0022693335,0.0036189787,0.1289838,0.0001343424],"about_ca_topic_score_codex":0.0033803901,"about_ca_topic_score_gemma":0.00038254214,"teacher_disagreement_score":0.18922499,"about_ca_system_score_codex":0.00024848364,"about_ca_system_score_gemma":0.00039494733,"threshold_uncertainty_score":0.99980044},"labels":[],"label_agreement":null},{"id":"W4407837517","doi":"10.1158/1055-9965.epi-24-0970","title":"Association of Genetic Liability to Allergic Diseases with Overall and Early-Onset Colorectal Cancer Risk: A Mendelian Randomization Study","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","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":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Office of Research Infrastructure Programs, National Institutes of Health; National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute on Aging; NIHR Imperial Biomedical Research Centre; Instituto de Salud Carlos III; National Human Genome Research Institute; Cancer Council Victoria; National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; Junta de Castilla y León; Conseil Régional des Pays de la Loire; Xunta de Galicia; Groupement des Entreprises Françaises dans la lutte contre le Cancer; Centre Hospitalier Universitaire de Nantes; Mutuelle Générale de l'Education Nationale; Centers for Disease Control and Prevention; Chonnam National University Hwasun Hospital; Institut National Du Cancer; School of Public Health, Imperial College London; Deutsche Krebshilfe; Associazione Italiana per la Ricerca sul Cancro; Vetenskapsrådet; University of Pittsburgh; Stockholms Läns Landsting; National Institute of Diabetes and Digestive and Kidney Diseases; World Cancer Research Fund; Knut och Alice Wallenbergs Stiftelse; Harvard T.H. Chan School of Public Health; Karolinska Institutet; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Chonnam National University; Centres de Recerca de Catalunya; Umeå Universitet; Ministerstvo Zdravotnictví Ceské Republiky; Cancerfonden; National Cancer Institute; Fundación Científica Asociación Española Contra el Cáncer; Institut Gustave-Roussy; Herzfelder'sche Familienstiftung; Grantová Agentura České Republiky; Canadian Cancer Society Research Institute; Marshfield Clinic Research Foundation; Institut National de la Santé et de la Recherche Médicale; Imperial College London; Generalitat de Catalunya; Food Standards Agency; University of South Florida; Swedish Cancer Foundation; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Institute for Health and Care Research; Division of Cancer Prevention, National Cancer Institute; National Heart, Lung, and Blood Institute; Florida Department of Health; National Institutes of Health; Mike and Josie Harper Cancer Research Institute; National Institute of Allergy and Infectious Diseases; Victorian Cancer Agency; University of Cambridge; Association Anne de Bretagne Genetique; Ligue Contre le Cancer; Univerzita Karlova v Praze; Deutsches Krebsforschungszentrum; Biobanco Vasco; Fred Hutchinson Cancer Research Center; Moffitt Cancer Center; Pelotonia; Brigham and Women's Hospital; Emory University; Damon Runyon Cancer Research Foundation; American Cancer Society; Memorial Sloan-Kettering Cancer Center; Cancer Research UK; Xarxa de Bancs de Tumors de Catalunya; World Health Organization; Fondation ARC pour la Recherche sur le Cancer; U.S. Department of Health and Human Services","keywords":"Medicine; Hay fever; Mendelian randomization; Colorectal cancer; Internal medicine; Odds ratio; Allergy; Asthma; Cancer; Genome-wide association study; Oncology; Immunology; Single-nucleotide polymorphism; Genotype; Genetics; Biology","score_opus":0.00960232828376946,"score_gpt":0.3079302807519269,"score_spread":0.29832795246815746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407837517","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":[0.9855568,0.004165731,0.0070636864,0.0014374362,0.00027463623,0.0013450215,0.00010750111,0.000016000644,0.000033198186],"genre_scores_gemma":[0.99433255,0.002127719,0.0017923388,0.00021563754,0.00007018189,0.0007945649,0.00007987626,0.000015259733,0.00057189126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99610436,0.0020390605,0.00074315886,0.0006629916,0.000095500865,0.00035490113],"domain_scores_gemma":[0.9982768,0.00039611605,0.00070452166,0.00026836342,0.00024345554,0.00011071136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019304485,0.00022817051,0.00061591965,0.00012650205,0.00014654329,0.0000074417144,0.00013758708,0.00027569593,0.00002766991],"category_scores_gemma":[0.0017903261,0.00020139299,0.00013390688,0.00022177208,0.000108460656,0.000007988144,0.000109863155,0.000100367324,8.917429e-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":[0.0015947099,0.00017375579,0.9857005,0.000027693333,0.0014390014,2.2350925e-7,0.000077895595,0.0019151471,0.001041128,0.0000061744067,0.0041765347,0.0038472398],"study_design_scores_gemma":[0.0033197638,0.00071123533,0.9929212,0.000052710973,0.00055035943,4.9446237e-7,0.00008516896,0.00035038183,0.00023341307,0.0010062,0.00058545993,0.00018366103],"about_ca_topic_score_codex":0.0015693228,"about_ca_topic_score_gemma":0.0037997502,"teacher_disagreement_score":0.008775742,"about_ca_system_score_codex":0.00017685635,"about_ca_system_score_gemma":0.00021440024,"threshold_uncertainty_score":0.82125676},"labels":[],"label_agreement":null},{"id":"W4407905612","doi":"10.1158/1055-9965.epi-24-1338","title":"Biomarkers of Toxicant Exposure among Youth in Canada, England, and the United States Who Vape and/or Smoke Tobacco or Do Neither","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Public Health Research Programme; Health Canada; NIHR BioResource; National Cancer Institute; National Institutes of Health; National Institute for Health and Care Research","keywords":"Tobacco smoke; Urine; Secondhand smoke; Medicine; Creatinine; Environmental health; Toxicant; Acrylamide; Toxicology; Cotinine; Nicotine; Chemistry; Internal medicine; Toxicity; Biology","score_opus":0.04384281525008693,"score_gpt":0.33564668563818245,"score_spread":0.2918038703880955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407905612","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":[0.9935561,0.002774286,0.000112294394,0.002531062,0.00028742113,0.000634487,0.00003965928,0.000013505716,0.000051212115],"genre_scores_gemma":[0.99582314,0.0029135884,0.000044087912,0.0006800173,0.000025058293,0.00010244981,0.00012623676,0.000011717817,0.00027370176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979346,0.0007427369,0.0006202089,0.0003349889,0.00010298033,0.00026450388],"domain_scores_gemma":[0.99844825,0.00087438984,0.00028624237,0.00024237095,0.00007429608,0.00007445512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017797274,0.00018082645,0.0005595898,0.00022797204,0.000069077294,0.00000643616,0.00008432798,0.00017211196,0.00009434636],"category_scores_gemma":[0.0005082059,0.00010658905,0.0000617295,0.0004716103,0.00040288508,0.000056002,0.00004790289,0.00016679674,4.1205187e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040699216,0.000026899996,0.9684014,0.00009972602,0.0003628625,0.000005527519,0.0005588465,0.000010834633,0.00003344983,0.00006242271,0.0005849427,0.025783177],"study_design_scores_gemma":[0.005382942,0.00012897924,0.9886056,0.0008074339,0.0004944859,0.0000037649609,0.003344924,0.00034128825,0.00013264634,0.00030763654,0.00033927,0.00011098438],"about_ca_topic_score_codex":0.60948265,"about_ca_topic_score_gemma":0.6096451,"teacher_disagreement_score":0.025672194,"about_ca_system_score_codex":0.00027469284,"about_ca_system_score_gemma":0.0005444429,"threshold_uncertainty_score":0.4346575},"labels":[],"label_agreement":null},{"id":"W4407964309","doi":"10.1158/1055-9965.epi-24-1143","title":"Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; National Center for Research Resources; National Health and Medical Research Council; National Institutes of Health","keywords":"Ovarian cancer; Oncology; Medicine; Serous fluid; Internal medicine; Family history; Cancer; Menarche; Bioinformatics; Biology","score_opus":0.044793291659764145,"score_gpt":0.35715367321172087,"score_spread":0.3123603815519567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407964309","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":[0.9529777,0.018061286,0.010246288,0.015779505,0.00094938686,0.0011638777,0.0006336497,0.000100740035,0.000087561064],"genre_scores_gemma":[0.9869905,0.005950776,0.0033101605,0.0009969197,0.00010950634,0.0007640614,0.00092533673,0.00002969874,0.0009230196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682325,0.000839553,0.0009356132,0.00074375625,0.00014775917,0.00051007996],"domain_scores_gemma":[0.9973209,0.0010346884,0.00086148706,0.00046594252,0.00016216654,0.00015483082],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010108224,0.0003597542,0.0011852313,0.00019297782,0.00015589625,0.000005619678,0.00015101886,0.00040714204,0.0003391533],"category_scores_gemma":[0.00035656945,0.00025713744,0.0002788514,0.00033363572,0.00013105325,0.00010248765,0.000056169873,0.00022783193,0.000002586775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003158181,0.0003933956,0.9734814,0.00013174067,0.001960989,0.0000037864177,0.000047664736,0.00008582148,0.0048516663,0.0004334256,0.013993086,0.004301191],"study_design_scores_gemma":[0.002671868,0.00034177658,0.9701138,0.0010298688,0.0010306102,0.0000019514168,0.00006230595,0.000037186113,0.021580052,0.001782547,0.0011388871,0.00020910506],"about_ca_topic_score_codex":0.008733622,"about_ca_topic_score_gemma":0.00094420626,"teacher_disagreement_score":0.034012813,"about_ca_system_score_codex":0.00077690324,"about_ca_system_score_gemma":0.00034938697,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null},{"id":"W4408108263","doi":"10.1158/1055-9965.epi-24-1228","title":"A Polygenic Risk Score for Late Bladder Toxicity Following Radiotherapy for Non-Metastatic Prostate Cancer","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","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":"Alberta Cancer Foundation; University of Alberta","funders":"National Center for Advancing Translational Sciences; European Regional Development Fund; Movember Canada; National Cancer Institute; National Institutes of Health; Cancer Research UK Cambridge Institute, University of Cambridge; Cancer Research UK Manchester Centre; European Commission; U.S. Department of Defense","keywords":"Medicine; Prostate cancer; Hazard ratio; Proportional hazards model; Internal medicine; Urology; Radiogenomics; Bladder cancer; Urinary system; Radiation therapy; Oncology; Cancer; Confidence interval; Radiology","score_opus":0.04339882907890474,"score_gpt":0.39815046879435256,"score_spread":0.3547516397154478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408108263","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":[0.8356404,0.0925312,0.044420533,0.014679396,0.0024894248,0.009443058,0.0006331409,0.00011781906,0.000045039076],"genre_scores_gemma":[0.831315,0.060823847,0.04140965,0.008803408,0.0006160277,0.047481768,0.0010240637,0.00018434567,0.00834189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971048,0.00028591743,0.0008696073,0.0008750113,0.00009657815,0.0007680814],"domain_scores_gemma":[0.9976575,0.0010767401,0.0005285159,0.0004057861,0.00015772476,0.00017374252],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016306571,0.00039778408,0.00108536,0.00022669866,0.0002902787,0.000014931677,0.0001301919,0.00020139806,0.00006767623],"category_scores_gemma":[0.00043871097,0.0003343866,0.0009370396,0.00031663667,0.00014276899,0.0001295447,0.00003191701,0.00015920692,0.000002021122],"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":[0.00460938,0.00042873886,0.6882297,0.0008666256,0.013462425,0.0000062647764,0.00024232436,0.00019088133,0.004284172,0.0001680798,0.036163222,0.25134823],"study_design_scores_gemma":[0.050141085,0.004329418,0.7880323,0.00639848,0.014141488,0.000008832498,0.0002477507,0.020938642,0.015218792,0.044323634,0.054811087,0.0014085192],"about_ca_topic_score_codex":0.0005973431,"about_ca_topic_score_gemma":0.00052732235,"teacher_disagreement_score":0.24993971,"about_ca_system_score_codex":0.00096822734,"about_ca_system_score_gemma":0.00068358664,"threshold_uncertainty_score":0.99991083},"labels":[],"label_agreement":null},{"id":"W4408148841","doi":"10.1158/1055-9965.epi-24-1442","title":"Association of Inherited Genetic Variants with Multiple Primary Melanoma","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control","funders":"National Institute of Environmental Health Sciences; Melanoma Centre of Research Excellence; National Cancer Institute","keywords":"Genome-wide association study; Single-nucleotide polymorphism; Odds ratio; Minor allele frequency; Genetic association; Medicine; Allele; Population; Oncology; Genetics; Confidence interval; Internal medicine; Biology; Genotype; Gene","score_opus":0.020662717108081367,"score_gpt":0.30711232112262554,"score_spread":0.28644960401454417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408148841","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":[0.9481554,0.0043492015,0.031046785,0.0084319655,0.0011718301,0.0017097126,0.000016493797,0.0001533535,0.0049652467],"genre_scores_gemma":[0.97167116,0.0007837473,0.009233308,0.0018212339,0.000089613764,0.00022065686,0.00009940297,0.000020460802,0.016060423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984266,0.00037275246,0.0005249851,0.0003280233,0.000106403684,0.0002412108],"domain_scores_gemma":[0.9988203,0.0003236937,0.00041679194,0.00025059734,0.00012994139,0.00005865145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007754661,0.00014135314,0.00047043472,0.00021771924,0.00005564848,0.0000030145736,0.00006585905,0.00019301317,0.00016195698],"category_scores_gemma":[0.00036902295,0.00012308643,0.0001221854,0.00032572894,0.00006697977,0.000037413018,0.000038799248,0.00011609063,0.000007862233],"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":[0.0014628283,0.00015895772,0.9220721,0.0003041192,0.0019444666,0.000011631932,0.000025169502,0.000037229383,0.008991871,0.00008391101,0.01662081,0.048286904],"study_design_scores_gemma":[0.0023357132,0.00032043087,0.9803739,0.00037472745,0.00061375665,0.000017838076,0.000034626886,0.0007915588,0.0005324284,0.000564078,0.013935333,0.00010556819],"about_ca_topic_score_codex":0.00023232281,"about_ca_topic_score_gemma":0.0003299638,"teacher_disagreement_score":0.05830184,"about_ca_system_score_codex":0.00048853527,"about_ca_system_score_gemma":0.00014676589,"threshold_uncertainty_score":0.5019319},"labels":[],"label_agreement":null},{"id":"W4408889648","doi":"10.1158/1055-9965.epi-24-1843","title":"Genital, Oral, and Anal Type-specific Human Papillomavirus Concordance within Individuals and between Partners","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"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; University of Toronto; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research; Merck Canada; University of Toronto","keywords":"Concordance; Sex organ; Medicine; Odds ratio; Human papillomavirus; Genotyping; Epidemiology; Confidence interval; Logistic regression; Gynecology; Genotype; Demography; Internal medicine; Biology; Genetics","score_opus":0.17305748496549658,"score_gpt":0.4940633899869324,"score_spread":0.3210059050214358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408889648","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":[0.9344566,0.057049546,0.00045279835,0.004024976,0.00031886162,0.000757427,0.000029615532,0.00006810807,0.0028420726],"genre_scores_gemma":[0.98981225,0.0059924438,0.0010072422,0.0009695323,0.0001620439,0.00011179329,0.00014256348,0.00001930705,0.0017827984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772274,0.00049544615,0.0006134367,0.00061244617,0.00013348309,0.00042243436],"domain_scores_gemma":[0.9987731,0.00040573528,0.00017331164,0.00027156164,0.00013557899,0.00024071735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019035502,0.00021524142,0.0007079002,0.00021560794,0.00021828862,0.000019040157,0.00010449014,0.0002598225,0.00049689907],"category_scores_gemma":[0.00029055178,0.0001899437,0.00009130621,0.0003768404,0.0007323354,0.00010003,0.00013225626,0.0003299199,0.0000073776882],"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":[0.00036185747,0.000030957024,0.8901177,0.00018322945,0.00054061704,0.000005135392,0.000050194467,9.143075e-7,0.0008565968,0.0017125625,0.016159212,0.089981],"study_design_scores_gemma":[0.002024023,0.0003666273,0.9573179,0.00015651449,0.0002564073,0.000006185014,0.00008976323,0.000035194593,0.00042237414,0.013118558,0.02603265,0.00017382973],"about_ca_topic_score_codex":0.00040162014,"about_ca_topic_score_gemma":0.00023344389,"teacher_disagreement_score":0.08980717,"about_ca_system_score_codex":0.00015605563,"about_ca_system_score_gemma":0.00018215674,"threshold_uncertainty_score":0.77456796},"labels":[],"label_agreement":null},{"id":"W4408931497","doi":"10.1158/1055-9965.epi-24-1644","title":"Plasma Insulin-like Growth Factor–Binding Protein-7 Is Positively Associated with Age, Obesity, Mortality, and Cancer in Postmenopausal Women","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","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":"McGill University","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Hazard ratio; Internal medicine; Body mass index; Breast cancer; Cancer; Obesity; Proportional hazards model; Incidence (geometry); Oncology; Risk factor; Cohort; Endocrinology; Confidence interval","score_opus":0.04721817436215741,"score_gpt":0.3487018569967231,"score_spread":0.3014836826345657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408931497","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":[0.9910253,0.0034817536,0.0000876017,0.0025392233,0.00039743565,0.0017197498,0.00016853354,0.00011115299,0.00046924507],"genre_scores_gemma":[0.9941872,0.0015834417,0.000199655,0.0013866661,0.000060197017,0.0007331997,0.00015426578,0.000044145152,0.0016512241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99609214,0.0007693919,0.0009772624,0.0009720275,0.00023970756,0.000949487],"domain_scores_gemma":[0.99828845,0.0004095813,0.000508634,0.0002953859,0.00021342465,0.00028454929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014146033,0.00050506083,0.0011912799,0.0005927693,0.00019120239,0.000023096836,0.00018052745,0.00057793193,0.00012079847],"category_scores_gemma":[0.00058513414,0.00044056316,0.00012650926,0.0008943751,0.00042844674,0.00029365267,0.00016004583,0.0005757747,0.000005234799],"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":[0.0011269646,0.00033176236,0.9788836,0.00024903624,0.0019826284,0.0000661104,0.00048882695,0.0000012206292,0.011438495,0.00022869924,0.0007900917,0.004412533],"study_design_scores_gemma":[0.0043076673,0.0008372504,0.98653656,0.0017461625,0.0003511031,0.000007521332,0.0001763027,0.000100417536,0.0030752432,0.002301832,0.0001554309,0.00040452988],"about_ca_topic_score_codex":0.0021267263,"about_ca_topic_score_gemma":0.0010820087,"teacher_disagreement_score":0.008363251,"about_ca_system_score_codex":0.0014793548,"about_ca_system_score_gemma":0.0005700271,"threshold_uncertainty_score":0.9998046},"labels":[],"label_agreement":null},{"id":"W4409107490","doi":"10.1158/1055-9965.epi-25-0061","title":"Cross-sectional Associations of Neighborhood Social and Environmental Contextual Factors with Telomere Length in Male and Female Health Professionals","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","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":"Institute of Cancer Research","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; Prostate Cancer UK","keywords":"Socioeconomic status; Context (archaeology); Environmental health; Cross-sectional study; Mediation; Demography; Social environment; Telomere; Gerontology; Medicine; Population; Psychology; Biology; Genetics; Pathology","score_opus":0.07210889403589778,"score_gpt":0.4110064784196245,"score_spread":0.33889758438372675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409107490","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":[0.99098957,0.0060029677,0.00017212109,0.0018439151,0.00016110639,0.00057145796,0.00014760069,0.000016253547,0.00009500157],"genre_scores_gemma":[0.9975309,0.0006021242,0.0002465139,0.00052085123,0.00004163555,0.00006490736,0.00024404361,0.000009921361,0.00073910045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814343,0.0004214993,0.00062657555,0.00040303872,0.00011419127,0.00029124966],"domain_scores_gemma":[0.99894434,0.00044903552,0.00038624625,0.00009882748,0.00003314852,0.00008840465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009339581,0.00016842627,0.0005776728,0.00018911569,0.00019991957,0.0000047653816,0.000046771565,0.00021368371,0.000114694565],"category_scores_gemma":[0.00018730418,0.00014135812,0.000072639494,0.00016828527,0.00043676785,0.00010982053,0.00004341926,0.00020737232,4.7278638e-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":[0.00033377606,0.0001908619,0.9915645,0.00015090297,0.00024991066,0.0000012399405,0.00037195717,0.0000012198454,0.00064968056,0.00048447735,0.00028376176,0.0057176813],"study_design_scores_gemma":[0.0019106137,0.00019266894,0.99576443,0.00024762366,0.000043395117,0.000007856844,0.0010612365,0.000058742487,0.00012737144,0.0003916345,0.00008924574,0.00010515399],"about_ca_topic_score_codex":0.00041651365,"about_ca_topic_score_gemma":0.00051057106,"teacher_disagreement_score":0.006541326,"about_ca_system_score_codex":0.0002769563,"about_ca_system_score_gemma":0.00031310934,"threshold_uncertainty_score":0.5764417},"labels":[],"label_agreement":null},{"id":"W4409140201","doi":"10.1158/1055-9965.epi-24-1488","title":"Modeling the Economic and Health Impact of Lowering the Recommended Colorectal Cancer Screening Age in Canada Using Fecal Immunochemical Test versus Colonoscopy","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of British Columbia; Alberta Health Services; Providence Health Care; BC Cancer Agency","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; Incidence (geometry); Colorectal cancer screening; Cohort; Demography; Internal medicine; Cancer","score_opus":0.08804777941571698,"score_gpt":0.4179064930021758,"score_spread":0.3298587135864588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409140201","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":[0.9819624,0.010867125,0.002114533,0.0036560374,0.0007455629,0.00059094577,0.000017927237,0.000016323962,0.000029137122],"genre_scores_gemma":[0.99817187,0.00092227146,0.00042659556,0.00023804416,0.00007740557,0.00012406094,0.000017444876,0.000012859198,0.000009430792],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982192,0.00031225922,0.00066429353,0.00035023392,0.00006514725,0.00038887296],"domain_scores_gemma":[0.99850184,0.0009164467,0.00027883425,0.00018984418,0.000038115675,0.00007493871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015931068,0.00018789571,0.0005639115,0.00010406264,0.00021826121,0.0000090615,0.00011691134,0.000118358126,0.000022138714],"category_scores_gemma":[0.00027262807,0.0001332635,0.0001536802,0.00023802194,0.0001589482,0.00005574673,0.000088207315,0.00036372815,9.077651e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.022992514,0.000034437682,0.8287591,0.00015894245,0.0013538512,0.0000043693844,0.00023228972,0.077631265,0.005564046,0.000017548342,0.0012247156,0.062026944],"study_design_scores_gemma":[0.003144222,0.0010350861,0.37110323,0.001111235,0.00020545273,0.000016610518,0.00039708804,0.62126374,0.0013003427,0.00018945862,0.00005019634,0.0001833049],"about_ca_topic_score_codex":0.9133718,"about_ca_topic_score_gemma":0.8790437,"teacher_disagreement_score":0.5436325,"about_ca_system_score_codex":0.006560316,"about_ca_system_score_gemma":0.0046032486,"threshold_uncertainty_score":0.9972533},"labels":[],"label_agreement":null},{"id":"W4409360507","doi":"10.1158/1055-9965.epi-24-1440","title":"Causal Effects of Breast Cancer Risk Factors across Hormone Receptor Breast Cancer Subtypes: A Two-Sample Mendelian Randomization Study","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":3,"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 Cancer Institute; Seventh Framework Programme; KWF Kankerbestrijding; Ministerie van Volksgezondheid, Welzijn en Sport; Canadian Institutes of Health Research; Gray Foundation; Horizon 2020 Framework Programme; University of Cambridge; Cancer Research UK; Government of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Wellcome Trust; Susan G. Komen; Genome Canada; Fondation du cancer du sein du Québec; National Institutes of Health; Ovarian Cancer Research Fund; European Commission; Breast Cancer Research Foundation; U.S. Department of Defense","keywords":"Mendelian randomization; Breast cancer; Oncology; Medicine; Internal medicine; Body mass index; Risk factor; Menarche; Cancer; Biology; Genotype; Genetics","score_opus":0.02286411971178402,"score_gpt":0.3793449825425681,"score_spread":0.35648086283078406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409360507","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":[0.970597,0.014683346,0.0046790363,0.0019361097,0.0027639014,0.0030697458,0.0021254148,0.00012573288,0.000019662531],"genre_scores_gemma":[0.98471016,0.012453536,0.0001953291,0.00024471123,0.00036382003,0.0012634574,0.00028951597,0.000059586608,0.00041986105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952016,0.0013398399,0.0013589438,0.0010155882,0.00027325877,0.00081080664],"domain_scores_gemma":[0.9962476,0.0013582265,0.0011163433,0.00059936737,0.00041194158,0.00026654723],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018691911,0.0005563435,0.0017105185,0.00032679687,0.000297481,0.000015739795,0.00023400922,0.00038385752,0.00052770664],"category_scores_gemma":[0.0006399764,0.000455385,0.0005147794,0.00092511304,0.00037036435,0.0002153128,0.00012278848,0.0004376039,0.0000043208706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008989299,0.0005657972,0.9333915,0.00033942415,0.003585227,0.000002404951,0.00073029293,0.0002978442,0.004181966,0.000020414165,0.0062750387,0.04162079],"study_design_scores_gemma":[0.018383736,0.00036230974,0.9748489,0.0009357192,0.001978051,0.0000046386585,0.00068564987,0.0005735901,0.0009522867,0.00028116856,0.0006196061,0.00037429814],"about_ca_topic_score_codex":0.11155645,"about_ca_topic_score_gemma":0.013146278,"teacher_disagreement_score":0.09841017,"about_ca_system_score_codex":0.001192211,"about_ca_system_score_gemma":0.00068391394,"threshold_uncertainty_score":0.9997898},"labels":[],"label_agreement":null},{"id":"W4409527523","doi":"10.1158/1055-9965.epi-25-0287","title":"Density of T-cell Subsets in Colorectal Cancer in Relation to Disease-Specific Survival","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"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; Lunenfeld-Tanenbaum Research Institute","funders":"Office of Research Infrastructure Programs, National Institutes of Health; Division of Loan Repayment; Canadian Institutes of Health Research; National Health and Medical Research Council; National Cancer Institute; Cancer Research UK; National Institutes of Health; National Heart, Lung, and Blood Institute; Brigham and Women's Hospital","keywords":"Colorectal cancer; Disease; Cancer; Relation (database); Medicine; Oncology; Internal medicine; Computer science","score_opus":0.04414321729365135,"score_gpt":0.3575087324032376,"score_spread":0.31336551510958627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409527523","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":[0.9751957,0.016432313,0.0007352084,0.004940685,0.0012097562,0.0011016084,0.000029795025,0.00002672051,0.00032818856],"genre_scores_gemma":[0.99394053,0.0043869726,0.00037004246,0.00042328797,0.000055176988,0.00029661544,0.00006909533,0.00001570777,0.00044255098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997343,0.0006540859,0.0009447643,0.00054806547,0.00012219678,0.00038787795],"domain_scores_gemma":[0.9988968,0.00038305373,0.00026370017,0.00025190142,0.00009133952,0.00011325197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019482952,0.00020969281,0.0006786345,0.0005385753,0.00004063233,0.0000030145573,0.00011990717,0.00024338553,0.00020903753],"category_scores_gemma":[0.00021961876,0.00020849098,0.00021613094,0.0009600393,0.00016924509,0.00008194653,0.000047629695,0.00021110999,0.000004966105],"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":[0.011864278,0.00020498583,0.8983511,0.00017128237,0.00014674253,0.000008722697,0.00009655313,0.00011490317,0.06706456,0.00014539134,0.0020521507,0.019779366],"study_design_scores_gemma":[0.0032110005,0.000104660896,0.98739296,0.0011050226,0.000077515615,7.974861e-7,0.00006821852,0.00027946453,0.005361373,0.001051292,0.0011866372,0.000161073],"about_ca_topic_score_codex":0.0016795719,"about_ca_topic_score_gemma":0.006125949,"teacher_disagreement_score":0.08904188,"about_ca_system_score_codex":0.00093649083,"about_ca_system_score_gemma":0.00044909285,"threshold_uncertainty_score":0.85020155},"labels":[],"label_agreement":null},{"id":"W4409963150","doi":"10.1158/1055-9965.epi-25-0120","title":"A Scoping Review on Barriers to Cancer Diagnosis and Care in Low- and Middle-Income Countries","year":2025,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","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":"Engineers Without Borders Canada","funders":"","keywords":"Low and middle income countries; Medicine; Cancer; Middle income; Low income; Environmental health; Gerontology; Family medicine; Developing country; Economic growth; Socioeconomics; Sociology; Demographic economics; Economics; Internal medicine","score_opus":0.14035193243938449,"score_gpt":0.47690984558918986,"score_spread":0.3365579131498054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409963150","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":[0.00021217373,0.99108946,0.000014248996,0.0026230428,0.00055706827,0.00522009,0.00014719478,0.000038871458,0.00009784985],"genre_scores_gemma":[0.000040856085,0.98495597,0.00025568,0.005177731,0.00014447788,0.009163919,0.00009912704,0.000034144978,0.00012807248],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99559915,0.001017347,0.001443067,0.0011437024,0.00018231609,0.00061444583],"domain_scores_gemma":[0.9971181,0.0012542433,0.00059145456,0.00042966448,0.00013405649,0.00047244102],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018863012,0.00060098973,0.0036573568,0.00047956067,0.00014227026,0.000015003612,0.00017688602,0.0005548372,0.00022165454],"category_scores_gemma":[0.0028331035,0.00050882425,0.00037714784,0.00063617417,0.00021738677,0.00010255473,0.0001641706,0.00045627894,0.000006222742],"study_design_candidate":"systematic_review","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":[0.00014797579,0.0000062509853,0.036618777,0.4804278,0.0003234495,0.000022599652,0.00006286332,0.0000013037408,1.493286e-8,0.000030043357,0.001550588,0.48080832],"study_design_scores_gemma":[0.0004553354,0.00022408283,0.0017936986,0.8928871,0.0017648026,0.000014783675,0.00005229221,0.0000015311806,6.281778e-7,0.000044242282,0.10240501,0.00035647213],"about_ca_topic_score_codex":0.0008684695,"about_ca_topic_score_gemma":0.0030633258,"teacher_disagreement_score":0.48045185,"about_ca_system_score_codex":0.001126415,"about_ca_system_score_gemma":0.0019862317,"threshold_uncertainty_score":0.9997363},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4411152468","doi":"10.1158/1055-9965.epi-25-0167","title":"Effects of a Physical Activity mHealth Intervention (Fit2Thrive) on WCRF/AICR Cancer Prevention Recommendations among Breast Cancer Survivors: A Secondary Data Analysis","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Cancer prevention; Cancer; Intervention (counseling); Physical activity; Oncology; Internal medicine; Physical therapy; Psychiatry","score_opus":0.04816700398000711,"score_gpt":0.4284061319482305,"score_spread":0.3802391279682234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411152468","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":[0.9612752,0.008460438,0.016396532,0.008190372,0.002389638,0.0018831475,0.001065713,0.00013126733,0.00020766881],"genre_scores_gemma":[0.99024725,0.004563768,0.00016756784,0.00043262463,0.00034116308,0.0012905939,0.0013785663,0.000038971903,0.0015395187],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99460894,0.0022345325,0.0009609212,0.0013437512,0.00026139038,0.0005904414],"domain_scores_gemma":[0.9960802,0.0011182172,0.0011442212,0.0011404963,0.00030204933,0.00021482573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021600462,0.00045919718,0.0015486219,0.00083638896,0.00020153941,0.000015136002,0.00042023713,0.00038391518,0.0005867484],"category_scores_gemma":[0.00032024138,0.00043694102,0.0009841784,0.0017815388,0.00034179076,0.00044508753,0.00026639487,0.0006048845,0.0000042575525],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024256282,0.0015693508,0.42018488,0.0024172212,0.009314876,0.0000035574426,0.00027417816,0.00010969622,0.0013747086,0.00022806153,0.006786948,0.5553109],"study_design_scores_gemma":[0.002593763,0.00037940414,0.97456723,0.0041629197,0.007874918,0.0000022090642,0.00015484876,0.00571339,0.0019417383,0.0010429873,0.0012215211,0.00034504486],"about_ca_topic_score_codex":0.043846812,"about_ca_topic_score_gemma":0.09390519,"teacher_disagreement_score":0.55496585,"about_ca_system_score_codex":0.0009893227,"about_ca_system_score_gemma":0.00071875023,"threshold_uncertainty_score":0.99980825},"labels":[],"label_agreement":null},{"id":"W4411345347","doi":"10.1158/1055-9965.epi-25-0227","title":"Changes in Physical Activity and Risk of Cancer, Findings from the UK Biobank Study","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Physical Activity and Health","field":"Medicine","cited_by":1,"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; Alberta Cancer Foundation; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cancer; Breast cancer; Prostate cancer; Physical activity; Prospective cohort study; Internal medicine; Obesity; Cohort; Lower risk; Biobank; Cohort study; Proportional hazards model; Oncology; Confidence interval; Physical therapy; Bioinformatics; Biology","score_opus":0.07409124225696746,"score_gpt":0.4357725242941528,"score_spread":0.36168128203718536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411345347","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":[0.9861955,0.0029798464,0.00010848903,0.009607673,0.00022177359,0.0007865735,0.000055188568,0.000014813822,0.00003010886],"genre_scores_gemma":[0.99525404,0.0040209694,0.00004332054,0.0002635019,0.00011894587,0.00021473327,0.000009064383,0.0000057063075,0.000069713904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818933,0.00090655684,0.0002208472,0.000376732,0.00007079593,0.000235767],"domain_scores_gemma":[0.9978301,0.0016419468,0.00021596262,0.0002270197,0.00003142036,0.000053587122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010369403,0.00013881056,0.0006846723,0.00007762666,0.00008760469,0.000002180285,0.00008334579,0.00011221938,0.000024640403],"category_scores_gemma":[0.0004259223,0.00009590058,0.00009283327,0.00028332882,0.0002443453,0.00004729541,0.00007459243,0.00031492335,7.86496e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080953114,0.00078031427,0.9200789,0.00006480389,0.00052869547,6.570251e-7,0.00030959118,0.0000019769357,0.0036718845,0.00008199744,0.0006205915,0.07305109],"study_design_scores_gemma":[0.0014136581,0.00035498597,0.98868173,0.00038740432,0.0004454056,1.4980749e-7,0.0001696899,0.00047044194,0.0016491775,0.0062437826,0.00011503733,0.00006853307],"about_ca_topic_score_codex":0.036855668,"about_ca_topic_score_gemma":0.047034755,"teacher_disagreement_score":0.07298256,"about_ca_system_score_codex":0.00015704773,"about_ca_system_score_gemma":0.0001421445,"threshold_uncertainty_score":0.9703544},"labels":[],"label_agreement":null},{"id":"W4411413483","doi":"10.1158/1055-9965.epi-25-0442","title":"Gravida and Birth Outcomes Prior to and after Diagnosis of Early Age–Onset Colorectal Cancer among Female Patients: Population-Based Epidemiologic Studies","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","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":true,"ca_institutions":"University of Ottawa; Spinal Cord Injury BC; Ottawa Hospital; Simon Fraser University; BC Cancer Agency; British Columbia Centre on Substance Use; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Medicine; Odds ratio; Colorectal cancer; Cancer; Confidence interval; Logistic regression; Demography; Population; Cohort; Odds; Gynecology; Obstetrics; Internal medicine; Environmental health","score_opus":0.04458834506306876,"score_gpt":0.3962015158867758,"score_spread":0.3516131708237071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411413483","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":[0.9795,0.015436923,0.00011237088,0.0028905256,0.0005691202,0.0012978824,0.00014700502,0.000039406717,0.0000067592146],"genre_scores_gemma":[0.9928166,0.0028843053,0.0007735907,0.0015348492,0.000034089768,0.001709472,0.00006530703,0.000017483375,0.00016424587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975035,0.00052055146,0.0008902765,0.0006198655,0.00009841238,0.00036735495],"domain_scores_gemma":[0.9974394,0.0016012399,0.00041318854,0.00021788894,0.00016538976,0.00016291474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010113709,0.0002961817,0.0012192832,0.00031246291,0.00010995038,0.0000058557553,0.00007037937,0.00023203423,0.000057295456],"category_scores_gemma":[0.0019383841,0.00022911398,0.00020191517,0.00030118757,0.00040937503,0.00008865874,0.000093861345,0.00015213533,7.378262e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011123384,0.00008080021,0.97003,0.00034905272,0.0007577178,0.000002473648,0.0001911923,0.000018348373,0.000012488958,0.000019198511,0.0007930425,0.026633337],"study_design_scores_gemma":[0.0015461023,0.0005244316,0.99503195,0.0009945136,0.00045937396,2.7799413e-7,0.00008417078,0.00003453701,0.00007176218,0.0008416925,0.00021928226,0.00019188605],"about_ca_topic_score_codex":0.008315554,"about_ca_topic_score_gemma":0.007441776,"teacher_disagreement_score":0.026441451,"about_ca_system_score_codex":0.00029673032,"about_ca_system_score_gemma":0.00010223288,"threshold_uncertainty_score":0.99828815},"labels":[],"label_agreement":null},{"id":"W4412201614","doi":"10.1158/1055-9965.epi-25-0210","title":"Long-term Trends in Bladder Cancer Incidence Using a Harmonized Staging Variable: A SEER-Based Study","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Public Health; University of Ottawa","funders":"National Cancer Institute","keywords":"Medicine; Surveillance, Epidemiology, and End Results; Epidemiology; Bladder cancer; Incidence (geometry); AJCC staging system; Cancer registry; Cancer; Demography; Staging system; Internal medicine; Mathematics","score_opus":0.08773693803541169,"score_gpt":0.44083693925201173,"score_spread":0.3531000012166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201614","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":[0.96498424,0.016501775,0.0124805765,0.0026609574,0.0012385456,0.001694134,0.000040634157,0.00012356047,0.00027559936],"genre_scores_gemma":[0.9923916,0.00036629647,0.002469822,0.0018684254,0.00013810479,0.0011426567,0.000096497984,0.00004343151,0.0014831838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99613965,0.0010169192,0.0009848011,0.00095920905,0.00019236769,0.00070704595],"domain_scores_gemma":[0.99850106,0.00031772244,0.00035393605,0.0005232508,0.00014570048,0.00015835614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015959138,0.0004152647,0.0010413505,0.0008044485,0.00015763893,0.000016375549,0.00019557601,0.00027492424,0.00087853806],"category_scores_gemma":[0.00020573998,0.0003836557,0.00022619538,0.0014173203,0.00014729226,0.00017431115,0.00008567299,0.0003549062,0.0000035595774],"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":[0.0017385744,0.0007040558,0.9409314,0.00014160722,0.0014566038,0.00005052366,0.00012654337,0.00033051337,0.0015266053,0.000017412238,0.00056158024,0.052414577],"study_design_scores_gemma":[0.009944426,0.00031951774,0.9812688,0.0015777645,0.0015266729,0.0000038120652,0.000099306526,0.0039406624,0.0004548892,0.00042105382,0.0001431159,0.00029992842],"about_ca_topic_score_codex":0.006140922,"about_ca_topic_score_gemma":0.0025420606,"teacher_disagreement_score":0.05211465,"about_ca_system_score_codex":0.0014573161,"about_ca_system_score_gemma":0.0012065349,"threshold_uncertainty_score":0.99986154},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4412697604","doi":"10.1158/1055-9965.epi-25-0423","title":"Modeling Reporting Delay in Cancer Incidence Counts in the Evolving US and Canadian Population–Based Cancer Registry Environment","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Demography; Cancer registry; Incidence (geometry); Cancer; Population; Cancer incidence; Environmental health; Internal medicine; Mathematics","score_opus":0.1161754787945573,"score_gpt":0.41767708337872866,"score_spread":0.30150160458417136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412697604","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":[0.94681257,0.041307773,0.0016402504,0.008610233,0.00036621132,0.00058189355,0.000011662666,0.000016502581,0.0006528925],"genre_scores_gemma":[0.99333507,0.0019015123,0.000746243,0.0034243555,0.000066959496,0.0003350577,0.00003495533,0.000008938357,0.00014690327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979086,0.0002713273,0.000881331,0.00042134774,0.00012868813,0.00038869007],"domain_scores_gemma":[0.99909365,0.00014778697,0.0003805164,0.00025027228,0.000042419302,0.00008537299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025998536,0.00015064343,0.00036059442,0.00021612097,0.00011253802,0.00001033241,0.00011391379,0.00018888387,0.00014627478],"category_scores_gemma":[0.00081749575,0.00012966352,0.00006795303,0.00028333577,0.000067490444,0.00010704476,0.000026151754,0.00027858152,0.0000014710861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056545254,0.000008470858,0.9716233,0.00006109728,0.000037511145,0.000026622027,0.000048717153,0.013808863,0.000034245935,0.000052982,0.0010708941,0.013170724],"study_design_scores_gemma":[0.00038452566,0.00001602332,0.88290167,0.0016866603,0.00007855656,0.000009284091,0.0001095431,0.112756036,0.000005733318,0.0009988652,0.0009380244,0.00011509279],"about_ca_topic_score_codex":0.5861242,"about_ca_topic_score_gemma":0.51294345,"teacher_disagreement_score":0.09894717,"about_ca_system_score_codex":0.0016241325,"about_ca_system_score_gemma":0.00080217986,"threshold_uncertainty_score":0.52875245},"labels":[],"label_agreement":null},{"id":"W4412750467","doi":"10.1158/1055-9965.epi-25-0634","title":"Racial and Ethnic Disparities in Survival among Patients with Cholangiocarcinoma in the United States: A Systematic Review and Meta-analysis","year":2025,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","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 Health Network","funders":"National Institute on Minority Health and Health Disparities; National Cancer Institute; American College of Gastroenterology","keywords":"Medicine; Hazard ratio; Meta-analysis; Ethnic group; Internal medicine; Confounding; Demography; Pacific islanders; Confidence interval; Population; Environmental health","score_opus":0.13554444980529434,"score_gpt":0.41542520964292834,"score_spread":0.279880759837634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412750467","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":[0.00088255596,0.9925765,0.000025768184,0.00099595,0.00005855959,0.0053074965,0.000117444695,0.000016280377,0.000019455792],"genre_scores_gemma":[0.0010662546,0.99249196,0.00002981677,0.0011562306,0.000017832239,0.0038190403,0.0012147523,0.000023184555,0.00018092788],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99243593,0.0045310953,0.0016146522,0.00078943104,0.00019697526,0.0004319358],"domain_scores_gemma":[0.9960934,0.002283169,0.0008762689,0.00055345363,0.00011027556,0.00008343683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038734064,0.00060029555,0.008601858,0.0009641123,0.00007915105,0.000015750957,0.00019840896,0.00031239638,0.000022037713],"category_scores_gemma":[0.00072985544,0.00032378224,0.0011053351,0.0021250863,0.0003564992,0.0000882655,0.00011332475,0.0005279576,5.928087e-7],"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":[0.00006439817,0.000083231454,0.22228506,0.6692782,0.10533507,0.000015772059,0.00024544474,8.6532276e-7,9.678452e-10,0.000024769974,0.0003746439,0.0022925178],"study_design_scores_gemma":[0.0006481946,0.00011306692,0.29139313,0.06882907,0.6378887,0.0000045396855,0.000097212825,0.0000067157794,2.584009e-9,0.000047263544,0.00069795916,0.0002741119],"about_ca_topic_score_codex":0.002424114,"about_ca_topic_score_gemma":0.0077098887,"teacher_disagreement_score":0.60044914,"about_ca_system_score_codex":0.00021766289,"about_ca_system_score_gemma":0.00014711542,"threshold_uncertainty_score":0.99992144},"labels":[],"label_agreement":null},{"id":"W4413140798","doi":"10.1158/1055-9965.epi-25-0698","title":"Directed Acyclic Graphs in Oncology Research: Applications and Illustrated Example","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Click Chemistry and Applications","field":"Chemistry","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":"Providence Health Care; University of British Columbia; Centre for Advancing Health Outcomes; Vancouver Coastal Health; International Collaboration On Repair Discoveries","funders":"Canadian Institutes of Health Research","keywords":"Directed acyclic graph; Observational study; Confounding; Causal inference; Medicine; Data science; Computer science; Internal medicine; Algorithm; Pathology","score_opus":0.17749753179117161,"score_gpt":0.4702722314780553,"score_spread":0.2927746996868837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413140798","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":[0.91901106,0.023144672,0.0017533419,0.014763563,0.00016743387,0.0011931837,0.00008145929,0.00043390322,0.03945138],"genre_scores_gemma":[0.98261756,0.0054344274,0.001194878,0.00023994772,0.00009344305,0.0050128014,0.00046791811,0.000020046456,0.00491897],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976529,0.00042893217,0.0006548311,0.0007119026,0.00006709099,0.0004843794],"domain_scores_gemma":[0.9970855,0.0020439045,0.00018748942,0.00046117126,0.00011226878,0.00010968322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017742026,0.00017337334,0.00038465427,0.0002113021,0.00025228577,0.000009619677,0.0002585713,0.00047124192,0.00036809617],"category_scores_gemma":[0.00041734002,0.00018604037,0.00008307447,0.00093077275,0.00060990365,0.000064281754,0.00012592676,0.00048943673,0.000009043173],"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":[0.00032346355,0.0006469377,0.22659935,0.00049877615,0.00050670793,0.000004106189,0.00013484499,0.000025333315,0.3484017,0.024948841,0.022722369,0.37518758],"study_design_scores_gemma":[0.002504038,0.000043338943,0.076387376,0.0005679908,0.00015394879,0.000012271677,0.0007531268,0.0010993214,0.04188558,0.29410124,0.58196485,0.00052689016],"about_ca_topic_score_codex":0.001110422,"about_ca_topic_score_gemma":0.0012108752,"teacher_disagreement_score":0.5592425,"about_ca_system_score_codex":0.00032926875,"about_ca_system_score_gemma":0.00022527191,"threshold_uncertainty_score":0.75865066},"labels":[],"label_agreement":null},{"id":"W4413591634","doi":"10.1158/1055-9965.epi-25-0018","title":"Occupational-Related Exposure to Benzene and Risk of Cervical, Ovarian, and Endometrial Cancers: Systematic Review and Meta <scp>-</scp> analysis","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Meta-analysis; Publication bias; Cervical cancer; Relative risk; Funnel plot; Confounding; Oncology; Gynecology; Endometrial cancer; Cohort study; Internal medicine; Incidence (geometry); Obstetrics; Cancer; Confidence interval","score_opus":0.025127272182703806,"score_gpt":0.344340928869285,"score_spread":0.3192136566865812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413591634","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":[0.56017816,0.42983603,0.0075732674,0.0006455266,0.00010628515,0.0014125422,0.00020830664,0.000008339927,0.000031524993],"genre_scores_gemma":[0.892188,0.103535265,0.0020598124,0.0009320009,0.000031642427,0.00053187594,0.00020931003,0.0000125190545,0.00049953576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973188,0.0010081277,0.0008144011,0.0005700992,0.0000778241,0.00021075275],"domain_scores_gemma":[0.9984021,0.0005010756,0.00050742057,0.00033776293,0.00013968203,0.000111915244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022341332,0.00021392407,0.0012236672,0.00025668784,0.000092518756,0.000009509144,0.000101407386,0.00022930445,0.000021490532],"category_scores_gemma":[0.0018310831,0.0001793862,0.00028098433,0.0005842063,0.00012541596,0.000007498469,0.00015417005,0.00008101021,2.8814773e-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":[0.00048298255,0.0002023345,0.7016443,0.07017826,0.17282361,0.0000028596205,0.00017117281,0.0008063594,0.04036583,0.0010229582,0.010178419,0.0021209237],"study_design_scores_gemma":[0.00410646,0.0013188353,0.70138246,0.004864076,0.2762031,0.000018436276,0.00030001398,0.00071449374,0.0065837093,0.0023778153,0.0015983483,0.0005322497],"about_ca_topic_score_codex":0.00057671627,"about_ca_topic_score_gemma":0.0007316329,"teacher_disagreement_score":0.33200988,"about_ca_system_score_codex":0.000047124384,"about_ca_system_score_gemma":0.000114821276,"threshold_uncertainty_score":0.7315157},"labels":[],"label_agreement":null},{"id":"W4413986072","doi":"10.1158/1055-9965.epi-25-1058","title":"Treatment-Related Changes in Cerebrospinal Fluid Markers of Oxidative Stress and Neurodegeneration during Therapy for Childhood Acute Lymphoblastic Leukemia","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier universitaire de Québec; Centre Hospitalier Universitaire Sainte-Justine","funders":"Basic Research Laboratory; National Cancer Institute","keywords":"Medicine; Cerebrospinal fluid; Neurodegeneration; Neurotoxicity; Neurocognitive; Internal medicine; Oncology; Oxidative stress; Subclinical infection; Prospective cohort study; Chemotherapy; Cohort; Pediatrics; Toxicity; Cognition; Psychiatry; Disease","score_opus":0.022413160941974576,"score_gpt":0.34102429495677905,"score_spread":0.31861113401480445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413986072","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":[0.9878389,0.005180882,0.0017865308,0.002610391,0.00029075204,0.0021062773,0.00008528738,0.000039917806,0.00006105707],"genre_scores_gemma":[0.9875039,0.008490962,0.0016694416,0.00016999575,0.00007136997,0.00093150925,0.00030246624,0.000033026783,0.0008273138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975446,0.0005027324,0.00069660466,0.0006636241,0.00010800045,0.00048442947],"domain_scores_gemma":[0.99843574,0.0007339458,0.00031357218,0.0002823837,0.00012839673,0.000105952065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057205866,0.00029933828,0.0007661642,0.00047830984,0.000112606154,0.00000664692,0.00010697921,0.0003152633,0.00004097898],"category_scores_gemma":[0.00042948063,0.00025579627,0.00015938136,0.00040974788,0.00030256296,0.00010081897,0.00005468367,0.00011934036,9.4847314e-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":[0.024379317,0.00072717364,0.6365253,0.00097325956,0.006482923,0.00002965648,0.0005214219,0.00054789236,0.22201261,0.0007191044,0.0008904566,0.106190905],"study_design_scores_gemma":[0.021785378,0.0024894066,0.90107745,0.0011505294,0.00052335707,0.000032522054,0.00012737753,0.011078929,0.060313027,0.0011257132,0.00006433744,0.00023199896],"about_ca_topic_score_codex":0.00038357516,"about_ca_topic_score_gemma":0.000333891,"teacher_disagreement_score":0.26455215,"about_ca_system_score_codex":0.0019198873,"about_ca_system_score_gemma":0.0009733325,"threshold_uncertainty_score":0.99998945},"labels":[],"label_agreement":null},{"id":"W4414279005","doi":"10.1158/1055-9965.epi-25-0704","title":"Elevated Resting Heart Rate Is an Independent Risk Factor for Mortality in Patients with Colorectal Cancer: A Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Heart rate and cardiovascular health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Yonsei University; American Cancer Society","keywords":"Retrospective cohort study; Risk factor; RESTING HEART RATE; Cohort study; Mortality rate; Cohort","score_opus":0.04101792659374419,"score_gpt":0.3913009186104624,"score_spread":0.3502829920167182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414279005","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":[0.99148136,0.0007703012,0.00058613933,0.00043007662,0.00042341408,0.006032828,0.0001883433,0.00006344929,0.00002408322],"genre_scores_gemma":[0.9970571,0.0002685412,0.0002717648,0.00054608466,0.000077492594,0.0015485319,0.00013215565,0.000025701209,0.00007267545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99531144,0.002165882,0.00080735,0.0009428735,0.00021614971,0.0005562997],"domain_scores_gemma":[0.99842435,0.00024413771,0.0003371061,0.00042767005,0.00039451572,0.00017224027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005562781,0.0002680242,0.0011638451,0.00021045073,0.0001899188,0.000008112938,0.00008513285,0.0002625378,0.00006671164],"category_scores_gemma":[0.0007690944,0.00022596469,0.00022612304,0.00051204173,0.00010484635,0.00013480627,0.000036250007,0.00038809344,0.0000015581467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022601439,0.0004554063,0.9891192,0.00009672507,0.0021910637,0.000002726557,0.000186981,0.000024668712,0.000114334514,0.0000041943167,0.0002907083,0.005253889],"study_design_scores_gemma":[0.0059985393,0.0014947265,0.99013263,0.0003106214,0.0007676491,7.515635e-7,0.00013958027,0.00044630378,0.00015493561,0.00026297112,0.000101959915,0.00018932232],"about_ca_topic_score_codex":0.009260143,"about_ca_topic_score_gemma":0.009853582,"teacher_disagreement_score":0.005575687,"about_ca_system_score_codex":0.0012596354,"about_ca_system_score_gemma":0.000757978,"threshold_uncertainty_score":0.9973373},"labels":[],"label_agreement":null},{"id":"W4414313335","doi":"10.1158/1538-7755.disp25-c158","title":"Abstract C158: Bridging gaps through partnership: A community-academic-government-industry approach to advancing cancer equity for Black women in the South","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Health and Surgery","field":"Medicine","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":"Women's Health Research Institute","funders":"","keywords":"General partnership; Health equity; Breast cancer; Cervical cancer; Equity (law); Black women; Health care; Public health","score_opus":0.13950497881865104,"score_gpt":0.4621702024119459,"score_spread":0.32266522359329486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414313335","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":[0.9613736,0.0052297744,0.004525873,0.01630416,0.00085900363,0.0027605495,0.000083969346,0.00006641249,0.0087966295],"genre_scores_gemma":[0.97151995,0.0006063577,0.0008497189,0.023154952,0.00050374796,0.0023440928,0.000079130965,0.000022132745,0.00091989577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953639,0.0013338786,0.0010324866,0.00051395805,0.00022732855,0.0015284506],"domain_scores_gemma":[0.9971822,0.0015642698,0.00039287138,0.00050456607,0.000069556736,0.00028654299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013574992,0.00029027477,0.00082987134,0.00010360264,0.0002986987,0.00000968997,0.0003402695,0.0006247192,0.000046292374],"category_scores_gemma":[0.0024939992,0.00023683463,0.0002205492,0.00051502563,0.00019622307,0.000141677,0.00014956071,0.0015459767,0.000004169756],"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":[0.0037817468,0.0004098525,0.7777601,0.003160342,0.00053361565,0.0000048114625,0.006858862,0.00072149804,0.0004003316,0.001244976,0.14777161,0.057352267],"study_design_scores_gemma":[0.004237325,0.00028388237,0.88884836,0.0042193234,0.00032645406,0.000010006149,0.026680583,0.0016746141,0.00019671665,0.017688654,0.055273723,0.00056037673],"about_ca_topic_score_codex":0.0011296312,"about_ca_topic_score_gemma":0.00028600867,"teacher_disagreement_score":0.11108826,"about_ca_system_score_codex":0.0022013795,"about_ca_system_score_gemma":0.0006079859,"threshold_uncertainty_score":0.9657836},"labels":[],"label_agreement":null},{"id":"W4414324140","doi":"10.1158/1538-7755.disp25-c057","title":"Abstract C057: Associations between accelerated epigenetic age and patient-reported outcomes in cancer patients","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"dNaM; Epigenetics; Cancer; DNA methylation; Cohort; Cohort study","score_opus":0.05462389888037718,"score_gpt":0.38359783839067924,"score_spread":0.32897393951030207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414324140","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":[0.9869606,0.010357856,0.0004813221,0.00087990594,0.00044575532,0.0005706281,0.000088956534,0.000016605472,0.00019840038],"genre_scores_gemma":[0.9953601,0.00270518,0.00025520468,0.00025975367,0.00004787044,0.00021192405,0.0008425999,0.00001831626,0.00029910303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976734,0.00039497955,0.0008966314,0.00058291195,0.000084783285,0.0003672979],"domain_scores_gemma":[0.99885374,0.00018120022,0.0004939929,0.0002490831,0.00013983667,0.00008211834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066886994,0.00023188906,0.00045168796,0.00017515768,0.00011610457,0.000014439695,0.00011996438,0.0004122038,0.00002560129],"category_scores_gemma":[0.00071932503,0.00023114859,0.00012364304,0.0002255747,0.00010745444,0.000011585034,0.000097019634,0.00013908844,0.0000013354769],"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":[0.000038398095,0.00009956721,0.94252235,0.000018285937,0.00040960222,9.4286327e-7,0.000024583704,0.00009136119,0.01243898,0.000010224146,0.00054268976,0.043803],"study_design_scores_gemma":[0.0009779804,0.000104993924,0.98721707,0.00007547081,0.00009612396,3.696821e-8,0.000014609375,0.00002465585,0.0074263345,0.0021856732,0.0016712954,0.00020575158],"about_ca_topic_score_codex":0.00084939017,"about_ca_topic_score_gemma":0.0016151448,"teacher_disagreement_score":0.044694707,"about_ca_system_score_codex":0.00012997055,"about_ca_system_score_gemma":0.0001429594,"threshold_uncertainty_score":0.9425966},"labels":[],"label_agreement":null},{"id":"W4414324170","doi":"10.1158/1538-7755.disp25-a005","title":"Abstract A005: Global evidence of health-related social needs and distress among cancer survivors: A scoping review of food, housing, and transportation insecurity","year":2025,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Distress; Cancer; Needs assessment; Social support; Socioeconomic status; MEDLINE","score_opus":0.3202990856019486,"score_gpt":0.5633192253501184,"score_spread":0.24302013974816977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414324170","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":[0.0040994114,0.98707277,0.00007442741,0.0013472785,0.0010145942,0.0048568994,0.0014608349,0.000044324945,0.00002948277],"genre_scores_gemma":[0.0048966813,0.9930682,0.00009452751,0.00022713187,0.00008072401,0.0009476767,0.0006480011,0.000022247912,0.000014818575],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9887461,0.0051254514,0.0046871174,0.00064423704,0.000193721,0.00060337986],"domain_scores_gemma":[0.99057084,0.0023785941,0.006313919,0.00028760557,0.00028270125,0.00016635776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061388803,0.00045386955,0.0038445038,0.00027399752,0.0006587768,0.000003211917,0.00021866581,0.0010910187,0.00014834598],"category_scores_gemma":[0.0011114603,0.0004397242,0.00045229512,0.0008684948,0.0005742079,0.00024010144,0.000085090636,0.0007490346,8.0236794e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046277793,0.00003531892,0.041532744,0.6826668,0.00038379978,3.0736933e-7,0.00052169565,5.5042716e-7,4.5757997e-8,0.0007360713,0.00072967564,0.2733467],"study_design_scores_gemma":[0.00037295872,0.000107511965,0.07000217,0.9232195,0.0011901697,4.1085264e-7,0.00015269927,0.000004034673,4.2191928e-8,0.0012747968,0.003411163,0.0002645563],"about_ca_topic_score_codex":0.023327535,"about_ca_topic_score_gemma":0.063934125,"teacher_disagreement_score":0.27308214,"about_ca_system_score_codex":0.0005525454,"about_ca_system_score_gemma":0.002745358,"threshold_uncertainty_score":0.99980545},"labels":[],"label_agreement":null},{"id":"W4414324339","doi":"10.1158/1538-7755.disp25-a134","title":"Abstract A134: Completeness of social determinants of health data collection for patients with breast cancer at a tertiary care cancer center","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","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":"McMaster University","funders":"","keywords":"Breast cancer; Ethnic group; Health care; Social determinants of health; Health equity; Data collection; Cohort; Cancer","score_opus":0.12182695554645168,"score_gpt":0.4493331134788936,"score_spread":0.3275061579324419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414324339","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":[0.9809081,0.009732929,0.0009888329,0.0028057212,0.0008126575,0.0018513179,0.002826705,0.000026139356,0.000047625035],"genre_scores_gemma":[0.99611366,0.0007296818,0.000684182,0.0007335449,0.00008880117,0.00042371763,0.0010955307,0.000020768453,0.00011009354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975107,0.00024477774,0.0010451607,0.000585082,0.00017806652,0.00043624215],"domain_scores_gemma":[0.9977083,0.00016828184,0.00112156,0.00037448024,0.0005490155,0.00007834772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082041556,0.00022942186,0.00096611056,0.0001600384,0.00022641053,0.0000028508994,0.0002322803,0.00018859259,0.00011313961],"category_scores_gemma":[0.00008803508,0.00019165223,0.00017290315,0.00028224176,0.00026856252,0.00016144484,0.00013204437,0.00010973317,3.3266394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036318607,0.00012420714,0.8841522,0.0015619942,0.00051756157,4.5914035e-7,0.00013714255,0.000011552919,0.00012806467,0.0000068071836,0.011957519,0.09777067],"study_design_scores_gemma":[0.003889159,0.00020951124,0.9904183,0.0030441587,0.0003511259,0.000002587402,0.00016579281,0.0002695409,0.0001764637,0.000055062144,0.0012752782,0.00014303393],"about_ca_topic_score_codex":0.008158558,"about_ca_topic_score_gemma":0.011537067,"teacher_disagreement_score":0.10626612,"about_ca_system_score_codex":0.0010010479,"about_ca_system_score_gemma":0.0009619567,"threshold_uncertainty_score":0.9984462},"labels":[],"label_agreement":null},{"id":"W4414325726","doi":"10.1158/1538-7755.disp25-c119","title":"Abstract C119: Efficacy and safety of darolutamide in Black/African American patients with nonmetastatic castration-resistant prostate cancer (nmCRPC) across clinical and real-world studies: An analysis of ARAMIS, DAROL, DEAR-EXT","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Prostate cancer; Cohort; Prostate-specific antigen; Adverse effect; Observational study; Retrospective cohort study; Cancer; Disease","score_opus":0.07147718522810206,"score_gpt":0.4743066302784982,"score_spread":0.4028294450503961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414325726","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":[0.9921015,0.0050156787,0.000043786724,0.0009982638,0.0000684845,0.0013934649,0.00031371156,0.000014765168,0.000050358092],"genre_scores_gemma":[0.98085886,0.017694386,0.0007460465,0.00008440265,0.000016210637,0.00016623245,0.00026778836,0.00001735236,0.00014869797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962726,0.00075044454,0.0015232199,0.00076006236,0.00020895078,0.00048471932],"domain_scores_gemma":[0.9969247,0.0012645927,0.0009088197,0.00038818148,0.0003208551,0.000192869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024093606,0.00028665367,0.001704887,0.00052663306,0.000098021104,0.0000076131046,0.00010160766,0.00010107812,0.000021435826],"category_scores_gemma":[0.00042578208,0.0002133001,0.00015184871,0.0014733083,0.0025144403,0.00014130944,0.000074356816,0.00024000568,1.8646374e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013591382,0.00050106354,0.92636853,0.0004039675,0.0067122434,0.000007056147,0.0007676628,0.0002731393,0.00030090442,0.00002768886,0.000047965,0.050998412],"study_design_scores_gemma":[0.006469125,0.0010749911,0.98706573,0.0008684529,0.002150035,2.3012392e-7,0.0013916817,0.0005521515,0.00007189566,0.00015063836,0.00004590551,0.0001591443],"about_ca_topic_score_codex":0.009902113,"about_ca_topic_score_gemma":0.04293714,"teacher_disagreement_score":0.06069723,"about_ca_system_score_codex":0.00034119384,"about_ca_system_score_gemma":0.00046452874,"threshold_uncertainty_score":0.99669105},"labels":[],"label_agreement":null},{"id":"W4414344389","doi":"10.1158/1538-7755.disp25-a091","title":"Abstract A091: Clinical and demographic differences between children and young adult US-born and non-US-born Latinos diagnosed with classical Hodgkin Lymphoma in the MESH Study Cohort","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","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":"BC Cancer Agency","funders":"","keywords":"Young adult; Logistic regression; Hodgkin lymphoma; Incidence (geometry); Cohort; Classical Hodgkin lymphoma; Cohort study; Demographics","score_opus":0.027632382980433863,"score_gpt":0.36079382862607734,"score_spread":0.3331614456456435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414344389","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":[0.9896461,0.0041330275,0.000048483165,0.003413636,0.00013558635,0.0024866979,0.000029162497,0.00003005743,0.000077261],"genre_scores_gemma":[0.99214876,0.0060009947,0.00031403458,0.0006198452,0.000111898844,0.0006735464,0.000086566615,0.000015227301,0.000029122675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650127,0.001071872,0.0009525579,0.0009136196,0.00015300215,0.000407653],"domain_scores_gemma":[0.99671763,0.0023631584,0.00032791006,0.00035320726,0.00006687918,0.00017122297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022745978,0.0003629007,0.0011136148,0.0002428229,0.00018357053,0.000030064914,0.00012626428,0.00032990688,0.000009448446],"category_scores_gemma":[0.00042860952,0.00022137388,0.00013309988,0.00036276982,0.00081144087,0.000096322896,0.0000861932,0.00022634605,7.505592e-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":[0.0005163302,0.000794012,0.93545103,0.000044336008,0.001872175,0.000030070338,0.00012305219,1.3803033e-7,0.0000035478813,0.000049823626,0.00049722363,0.06061826],"study_design_scores_gemma":[0.009295632,0.0011878195,0.9864836,0.00056985713,0.0015394118,0.000022311811,0.00021378961,0.000085001586,0.0000046024966,0.0003756909,0.000022382621,0.00019992264],"about_ca_topic_score_codex":0.0032109753,"about_ca_topic_score_gemma":0.006335137,"teacher_disagreement_score":0.060418334,"about_ca_system_score_codex":0.00007964777,"about_ca_system_score_gemma":0.00014593251,"threshold_uncertainty_score":0.9027365},"labels":[],"label_agreement":null},{"id":"W4414344394","doi":"10.1158/1538-7755.disp25-b120","title":"Abstract B120: A call for a modernized TNBC/mTNBC clinical trial: Ensuring equity, precision medicine, and survivorship for young Black women","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"Breast cancer; Psychosocial; Cancer; Clinical trial; Guideline; Survivorship curve; Incidence (geometry); Black women; Health equity","score_opus":0.1640831271145664,"score_gpt":0.47725323156587707,"score_spread":0.31317010445131066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414344394","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":[0.8829911,0.011914883,0.09526791,0.0028876364,0.002999317,0.0033384282,0.00015455944,0.00003053531,0.0004156298],"genre_scores_gemma":[0.97816163,0.010666946,0.0042302413,0.0014006137,0.0012714996,0.0022504318,0.00051510026,0.000052623735,0.0014508867],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99690455,0.00036959833,0.0011897493,0.00088782544,0.00007370877,0.0005745835],"domain_scores_gemma":[0.9964253,0.0023015074,0.0004962678,0.00041134952,0.00019125085,0.00017435462],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007041126,0.0002773041,0.00073330035,0.00011013439,0.000145566,0.00001760555,0.0002588977,0.00056252093,0.0000146944485],"category_scores_gemma":[0.006362095,0.0002610044,0.00031629443,0.00008339312,0.00035758287,0.000008728994,0.00023838642,0.0001304976,8.2509604e-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":[0.2038831,0.00081242033,0.09895008,0.0020056972,0.0045989263,0.0000037326877,0.0005012988,0.00051161397,0.05001872,0.0034124032,0.26483324,0.37046877],"study_design_scores_gemma":[0.21644956,0.010768704,0.23554404,0.0022119393,0.0017723589,0.000010693951,0.00070014474,0.012753,0.0044954326,0.27931073,0.23346306,0.0025203319],"about_ca_topic_score_codex":0.00027579194,"about_ca_topic_score_gemma":0.0010739954,"teacher_disagreement_score":0.36794844,"about_ca_system_score_codex":0.00014302827,"about_ca_system_score_gemma":0.00027398064,"threshold_uncertainty_score":0.9999842},"labels":[],"label_agreement":null},{"id":"W4414344793","doi":"10.1158/1538-7755.disp25-ia012","title":"Abstract IA012: The NCTN biospecimen banks resource","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Health and Medical Research Impacts","field":"Medicine","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":"Queen's University","funders":"","keywords":"Translational research; Resource (disambiguation); Biorepository; Variety (cybernetics); Translational science; Tissue bank; Cancer; Biobank","score_opus":0.18513499017258692,"score_gpt":0.5037387727827626,"score_spread":0.31860378261017563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414344793","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":[0.107989155,0.051932238,0.0027855905,0.77965033,0.0016126744,0.0027615079,0.000023046861,0.00020450879,0.053040944],"genre_scores_gemma":[0.84247035,0.008668781,0.0011944311,0.116898455,0.0011775946,0.0006593658,0.00022512287,0.00004710173,0.028658822],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968717,0.0007069206,0.0006867784,0.00042965976,0.00022640168,0.001078511],"domain_scores_gemma":[0.99587536,0.0020470866,0.00018964442,0.00053143874,0.00010279576,0.0012536558],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007972255,0.00017977797,0.00048081347,0.0001744287,0.00021175094,0.000007279826,0.00021398261,0.00033420583,0.0010097575],"category_scores_gemma":[0.026069375,0.000113031885,0.00021844497,0.000406658,0.00047616079,0.000060438633,0.00007514364,0.00061876554,0.00008435717],"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":[0.0007040682,0.00008132264,0.036741626,0.00023470088,0.00033656452,0.000010779001,0.00003194163,0.0000013610298,0.0008243325,0.00073027436,0.6146122,0.34569085],"study_design_scores_gemma":[0.0010716985,0.00013794769,0.44475958,0.00066179514,0.00009573092,0.000006281871,0.00006171842,0.00008841561,0.0002575693,0.003307178,0.5494757,0.000076370605],"about_ca_topic_score_codex":0.00036467204,"about_ca_topic_score_gemma":0.00008275692,"teacher_disagreement_score":0.73448116,"about_ca_system_score_codex":0.00047079942,"about_ca_system_score_gemma":0.0025336805,"threshold_uncertainty_score":0.99990344},"labels":[],"label_agreement":null},{"id":"W4414531004","doi":"10.1158/1055-9965.epi-25-0611","title":"Health Outcomes in Childhood Cancer Survivors with Congenital Anomalies in the Childhood Cancer Survivor Study","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; American Lebanese Syrian Associated Charities; National Cancer Institute; Rally Foundation","keywords":"Childhood cancer; Cancer; Early childhood; Late childhood; Cancer survivor; Young adult","score_opus":0.045357831556041166,"score_gpt":0.40619407860087237,"score_spread":0.3608362470448312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414531004","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":[0.88331217,0.033134565,0.00013330756,0.07644099,0.0014536952,0.005023515,0.00012851508,0.00012009431,0.00025317844],"genre_scores_gemma":[0.9800355,0.0034693684,0.00026965205,0.01181556,0.00024251844,0.0034154567,0.00011403464,0.00006896867,0.00056895346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.989417,0.004986825,0.0022599387,0.0014877997,0.00053572014,0.001312705],"domain_scores_gemma":[0.99583197,0.0018065633,0.0009037169,0.0010705736,0.00015996909,0.00022719335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007957291,0.0007639612,0.0024545332,0.00078552193,0.00028080636,0.00003192206,0.00062756636,0.0003473457,0.00017801074],"category_scores_gemma":[0.0007471181,0.00055292,0.00037424208,0.0017056884,0.00046852452,0.0002736743,0.00015787945,0.00097108353,0.0000068723566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077083544,0.002414713,0.96757984,0.00021675722,0.0022172513,0.000019730498,0.007026931,0.000102497106,0.0000051104503,0.0001474805,0.0016426585,0.017856201],"study_design_scores_gemma":[0.0072760633,0.00081210607,0.9806889,0.0013986949,0.00040781288,0.000012470444,0.0073459647,0.00004297333,0.000012102515,0.0006766695,0.0008422374,0.0004839817],"about_ca_topic_score_codex":0.19078872,"about_ca_topic_score_gemma":0.7385838,"teacher_disagreement_score":0.5477951,"about_ca_system_score_codex":0.0011461237,"about_ca_system_score_gemma":0.0022742143,"threshold_uncertainty_score":0.9996922},"labels":[],"label_agreement":null},{"id":"W4414717576","doi":"10.1158/1055-9965.epi-25-0529","title":"Breast Cancer Polygenic Risk Score Associated with Outcomes after <i>In Situ</i> Breast Disease","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"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; European Commission; National Cancer Institute; Cancer Research UK; National Institutes of Health; King's College London","keywords":"Polygenic risk score; Breast cancer; Disease; Risk assessment; Health care; Breast disease; MEDLINE","score_opus":0.01264519969219655,"score_gpt":0.3064031760626772,"score_spread":0.2937579763704806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414717576","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":[0.96123743,0.027796183,0.0005157776,0.007875938,0.00061340776,0.0006647733,0.0011188525,0.00005239865,0.0001252221],"genre_scores_gemma":[0.9926645,0.003061122,0.00010285792,0.0012641152,0.000119692035,0.0014905481,0.00039071875,0.0000382692,0.00086818915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969358,0.0007526075,0.00056023395,0.0009663416,0.00011414181,0.0006709094],"domain_scores_gemma":[0.9986508,0.00015798179,0.00038387434,0.00051402417,0.00013456398,0.00015878704],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006270284,0.0004558595,0.0006329559,0.00015770637,0.00015247767,0.000010657037,0.00022730541,0.00028294796,0.00007719217],"category_scores_gemma":[0.0001637358,0.00037112576,0.00030971286,0.00035417682,0.00036921573,0.000018944866,0.0001640363,0.00018980115,0.000005083526],"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":[0.0029901296,0.00022580635,0.9783768,0.000038981816,0.00224682,0.0000090729,0.000017677887,0.00010088731,0.00032405986,0.000022023694,0.0028232133,0.012824531],"study_design_scores_gemma":[0.0025741193,0.000039601706,0.9946697,0.00056467816,0.0006542549,0.000007964217,0.00003125082,0.000025808511,0.00012285946,0.00067768124,0.00027476228,0.00035737152],"about_ca_topic_score_codex":0.0013853001,"about_ca_topic_score_gemma":0.016902534,"teacher_disagreement_score":0.03142704,"about_ca_system_score_codex":0.00039665774,"about_ca_system_score_gemma":0.0004230181,"threshold_uncertainty_score":0.99987406},"labels":[],"label_agreement":null},{"id":"W4414786088","doi":"10.1158/1055-9965.epi-25-1033","title":"The Legacy of Chattel Slavery and Its Association with Prostate Cancer Incidences in the Southeastern United States","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","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":"Institute of Cancer Research","funders":"National Cancer Institute; Andy Hill CARE Fund; U.S. Department of Defense","keywords":"Socioeconomic status; Prostate cancer; Association (psychology); Health equity; MEDLINE","score_opus":0.030119589645224275,"score_gpt":0.3534008631651561,"score_spread":0.32328127351993186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414786088","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":[0.89814854,0.05332433,0.000030341807,0.047061566,0.00024139903,0.0010951026,0.000033951725,0.0000131277675,0.00005164829],"genre_scores_gemma":[0.9560882,0.040876895,0.0000327676,0.0011637409,0.000038026814,0.0010382595,0.000080012556,0.000008769273,0.0006733422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812657,0.0006765071,0.00047582254,0.00028867045,0.00013252028,0.0002999298],"domain_scores_gemma":[0.99781275,0.0013540243,0.0004571505,0.00017826361,0.00016073653,0.00003707603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002078154,0.0001596168,0.0003680904,0.00013472082,0.00013509463,0.000016085141,0.00009771969,0.00009977495,0.000010098818],"category_scores_gemma":[0.00026878202,0.0000827601,0.00006523266,0.00043307955,0.00015797868,0.00012127273,0.000033380842,0.00015405618,8.5317106e-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":[0.0009089045,0.000071670205,0.9769936,0.00015908068,0.00067685544,0.000002369151,0.00074116397,0.00006258168,0.000053528674,0.00025013168,0.0014157703,0.018664312],"study_design_scores_gemma":[0.0019338435,0.0003212082,0.98599875,0.0015792935,0.0004021263,0.0000028008349,0.0018699627,0.0007783212,0.0004824886,0.0028582753,0.003676183,0.00009676252],"about_ca_topic_score_codex":0.0021661443,"about_ca_topic_score_gemma":0.0028876788,"teacher_disagreement_score":0.057939656,"about_ca_system_score_codex":0.00026655526,"about_ca_system_score_gemma":0.0002381605,"threshold_uncertainty_score":0.3374859},"labels":[],"label_agreement":null},{"id":"W4415166818","doi":"10.1158/1055-9965.epi-25-0875","title":"Investigating the Causal Effect of Potential Therapeutic Agents for Colorectal Cancer Prevention: A Mendelian Randomization Analysis","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"NIHR Bristol Biomedical Research Centre; Cancer Research UK; Wellcome Trust","keywords":"Mendelian randomization; Colorectal cancer; Cancer; Randomization; Prostate cancer; Clinical trial; Mendelian inheritance","score_opus":0.023907821469475527,"score_gpt":0.367347472608169,"score_spread":0.3434396511386935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415166818","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":[0.74845916,0.008876563,0.2269628,0.013026414,0.000809872,0.0017373235,0.00006002179,0.000019688623,0.00004816134],"genre_scores_gemma":[0.99277306,0.0007974969,0.0013760664,0.0019365129,0.00022086538,0.0015612637,0.0006245429,0.000016785863,0.0006934289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99566174,0.0025110554,0.0008364238,0.00052682235,0.000079057194,0.0003849257],"domain_scores_gemma":[0.9981008,0.0006182924,0.00075956277,0.00028648914,0.00018772575,0.00004713326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037261867,0.00023487087,0.0006751114,0.00015872398,0.00025847083,0.000007603912,0.00024511694,0.00041745583,0.000043185428],"category_scores_gemma":[0.0011216509,0.00017684975,0.0006582275,0.0004897841,0.0002653865,0.00000750878,0.000078634956,0.00011966526,6.002252e-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":[0.0012424215,0.00006187987,0.8690768,0.00014111803,0.013364271,1.948236e-7,0.000049854607,0.017004605,0.051752392,0.00026805446,0.021189865,0.02584856],"study_design_scores_gemma":[0.011386629,0.0015160082,0.8649469,0.00020500028,0.012398028,0.000003464212,0.00013673677,0.05724806,0.030334532,0.014108045,0.007068902,0.00064769696],"about_ca_topic_score_codex":0.00023943538,"about_ca_topic_score_gemma":0.00044316996,"teacher_disagreement_score":0.2443139,"about_ca_system_score_codex":0.00008386414,"about_ca_system_score_gemma":0.00021515382,"threshold_uncertainty_score":0.72117233},"labels":[],"label_agreement":null},{"id":"W4416841561","doi":"10.1158/1538-7755.asgcr25-abstract-58","title":"Abstract 58: Acceptability of an mHealth-Based Strategy to Improve Attendance at Cervical Cancer Screening in Low- Resource Settings","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Cervical cancer; Attendance; Phone; Cervical cancer screening; Cervical screening; Cancer screening; Randomized controlled trial; Resource (disambiguation); Mobile phone","score_opus":0.07004014045648252,"score_gpt":0.4918290352222707,"score_spread":0.4217888947657882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416841561","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":[0.9417268,0.004889523,0.0051871957,0.037378114,0.0010161555,0.00806602,0.00036722937,0.00016379141,0.0012051453],"genre_scores_gemma":[0.9565308,0.0004033842,0.0049573723,0.016065018,0.00027609037,0.020700926,0.0003233577,0.000046343335,0.0006966767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99155176,0.0027754013,0.0028232292,0.0012314565,0.00017879756,0.0014393717],"domain_scores_gemma":[0.9943155,0.0025485037,0.0013245548,0.00090117106,0.0002724784,0.0006378084],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007882313,0.00033973338,0.0010233234,0.0003732074,0.00066606514,0.0000031700913,0.00044966512,0.0007454838,0.0015947357],"category_scores_gemma":[0.0010139741,0.00034300043,0.00017602218,0.0008656613,0.00023844968,0.00014672246,0.00016889533,0.0009421868,0.000022240334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017566723,0.00019614288,0.62772083,0.0033666885,0.000048355596,7.0119137e-7,0.00011640881,0.0012995271,0.000693575,0.00043907456,0.009220301,0.35514173],"study_design_scores_gemma":[0.0017881548,0.00015149804,0.9669136,0.0014803233,0.00004351328,1.4217451e-7,0.00031584597,0.0028089313,0.00022608189,0.0012764912,0.024778746,0.00021669987],"about_ca_topic_score_codex":0.012939014,"about_ca_topic_score_gemma":0.03497202,"teacher_disagreement_score":0.354925,"about_ca_system_score_codex":0.001379664,"about_ca_system_score_gemma":0.0024173215,"threshold_uncertainty_score":0.9999022},"labels":[],"label_agreement":null},{"id":"W4416841578","doi":"10.1158/1538-7755.asgcr25-abstract-65","title":"Abstract 65: Point of Care Urine Metabolomics Test to Diagnose Colorectal Cancers in Low- and Middle-Income Countries: A Pilot Controlled Trial in Southwestern Nigeria","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Urine; Colorectal cancer; Point of care; Incidence (geometry); Test (biology); Randomized controlled trial; Predictive validity; Point-of-care testing","score_opus":0.01516665382323467,"score_gpt":0.31488752508604795,"score_spread":0.29972087126281327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416841578","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":[0.9700732,0.025953554,0.00009463083,0.0008029564,0.000756365,0.0020898215,0.00011237736,0.000008493651,0.00010856286],"genre_scores_gemma":[0.99018234,0.007816718,0.00033223614,0.00030645274,0.00009478989,0.0010842003,0.00006621072,0.00001716563,0.00009986506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737257,0.00034775116,0.0011108147,0.00065052096,0.00007248957,0.00044585878],"domain_scores_gemma":[0.9985641,0.00054632494,0.00042125862,0.00026701626,0.00011542863,0.000085865424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001539457,0.00029983383,0.0011807735,0.00035221467,0.000052970103,0.00000841912,0.00018485602,0.00024048697,0.000026573616],"category_scores_gemma":[0.0018010816,0.0002817732,0.00017762026,0.00029183034,0.000206285,0.000010418732,0.00017070696,0.00014278878,8.9276523e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.1299086,0.0002843921,0.82715213,0.000617238,0.00093332847,0.000006550676,0.00025760054,0.00018716534,0.039602216,0.00020539625,0.0002240022,0.0006213822],"study_design_scores_gemma":[0.1573751,0.0033408424,0.8201246,0.0016259233,0.00025031538,0.0000024833048,0.00082110695,0.000077429984,0.0135452505,0.0010998248,0.0010653607,0.0006717536],"about_ca_topic_score_codex":0.0009939792,"about_ca_topic_score_gemma":0.020592796,"teacher_disagreement_score":0.027466493,"about_ca_system_score_codex":0.00021867744,"about_ca_system_score_gemma":0.00032844776,"threshold_uncertainty_score":0.99996346},"labels":[],"label_agreement":null},{"id":"W4416841593","doi":"10.1158/1538-7755.asgcr25-abstract-45","title":"Abstract 45: A Think Tank Approach for Inter-Disciplinary Research in Small Island States to Address Gaps in Cancer Control","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Health and Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Corporate governance; Cancer; Cancer prevention; Control (management); Diaspora; Epidemiology; Steering committee; Government (linguistics)","score_opus":0.14898088442500496,"score_gpt":0.48869958437633393,"score_spread":0.339718699951329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416841593","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":[0.90551585,0.037035108,0.010739563,0.03685853,0.0013484142,0.006564701,0.00026081863,0.00006209863,0.0016148959],"genre_scores_gemma":[0.9884352,0.0019303595,0.0014268213,0.002997373,0.00016601213,0.0038606739,0.0002832627,0.000022552375,0.0008777454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99595284,0.0010153512,0.0010622576,0.00074687676,0.00010468948,0.0011179564],"domain_scores_gemma":[0.9969875,0.0020691077,0.00016810071,0.00032185187,0.00019837977,0.00025504868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009657961,0.00022307748,0.00088703143,0.0007842805,0.00010338211,0.0000075782914,0.00017765464,0.00038417368,0.00006486705],"category_scores_gemma":[0.00087216485,0.0001958228,0.00017639103,0.00071372406,0.00017124288,0.000070023256,0.000081954335,0.0005389049,0.000004254027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012170358,0.00051832234,0.8676272,0.0024365878,0.0002962131,0.000027421926,0.0005162796,0.0006494872,0.0003582377,0.00030885875,0.06405034,0.05104071],"study_design_scores_gemma":[0.0069854716,0.0004950188,0.9533317,0.004835693,0.00008627799,0.000005498928,0.0010993249,0.00850463,0.00005621796,0.018968392,0.0053428034,0.00028893788],"about_ca_topic_score_codex":0.006075506,"about_ca_topic_score_gemma":0.020012353,"teacher_disagreement_score":0.08570455,"about_ca_system_score_codex":0.0009673276,"about_ca_system_score_gemma":0.00075774355,"threshold_uncertainty_score":0.99786985},"labels":[],"label_agreement":null},{"id":"W4416841649","doi":"10.1158/1538-7755.asgcr25-abstract-39","title":"Abstract 39: Hepatic Cancer in Northeastern Brazil: Regional Disparities, Underreporting, and Impact on Incidence and Mortality","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Epidemiology; Mortality rate; Cancer; Disease; Notifiable disease; Quarter (Canadian coin); Liver cancer; Hepatitis","score_opus":0.05178413810354968,"score_gpt":0.4347496635597369,"score_spread":0.3829655254561872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416841649","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":[0.9572953,0.037639335,0.00019600015,0.0037260926,0.00041316324,0.00059474783,0.000017434706,0.000028090919,0.00008981759],"genre_scores_gemma":[0.98475635,0.0135225365,0.000051306124,0.0012587727,0.00007934155,0.00013090647,0.00004687545,0.000011864137,0.00014205396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783975,0.00033781154,0.00075730286,0.0005337699,0.00013146583,0.0003999252],"domain_scores_gemma":[0.99874216,0.00039007893,0.00032751315,0.00028531635,0.000050309573,0.00020462983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020249295,0.00022062064,0.0007173111,0.00020153516,0.000093165494,0.0000070062974,0.000048283284,0.00023273555,0.00004637355],"category_scores_gemma":[0.0004537874,0.00017373683,0.00021600502,0.00018403826,0.0002678558,0.00009127151,0.000040805473,0.00030003488,9.038503e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004245949,0.000045630462,0.95547915,0.00044255424,0.0005031302,0.00001831686,0.00003539279,0.000050506816,0.00004527172,0.00005818599,0.0006015049,0.042295758],"study_design_scores_gemma":[0.0010419111,0.00007770344,0.99341357,0.0014750954,0.00021626394,0.00002564396,0.000033649372,0.0006565681,0.000011350179,0.0026672003,0.00024928598,0.00013178152],"about_ca_topic_score_codex":0.0347872,"about_ca_topic_score_gemma":0.016011333,"teacher_disagreement_score":0.04216398,"about_ca_system_score_codex":0.00041753077,"about_ca_system_score_gemma":0.00055790984,"threshold_uncertainty_score":0.9716402},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4416841860","doi":"10.1158/1538-7755.asgcr25-abstract-5","title":"Abstract 5: Impact of Community Education Program for Retinoblastoma in Tanzania,","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Ocular Oncology and Treatments","field":"Medicine","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":"Health Sciences Centre","funders":"","keywords":"Retinoblastoma; Intervention (counseling); Health education; Community education; Community health; Pediatric cancer; Cancer; Program evaluation","score_opus":0.05218148174180403,"score_gpt":0.4720461058290237,"score_spread":0.41986462408721964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416841860","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":[0.9906686,0.003550201,0.00030106358,0.0016816434,0.00046695853,0.0023398444,0.000016599033,0.00003531307,0.00093977805],"genre_scores_gemma":[0.994097,0.00016796809,0.003352697,0.0002262445,0.000028611683,0.0013681222,0.00030328185,0.000008917596,0.0004471511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984739,0.00054405216,0.00054078054,0.00017625031,0.000031600244,0.00023342391],"domain_scores_gemma":[0.9986701,0.00058357726,0.0002961212,0.0002800708,0.00011777687,0.000052324423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015382883,0.00013590437,0.0005045265,0.00021689323,0.00007128287,0.0000012845469,0.00008048557,0.0002867649,0.00005817811],"category_scores_gemma":[0.00068338914,0.000117117386,0.00030352868,0.00023016629,0.00017633277,0.000053256223,0.000022842672,0.00021044946,0.000002237062],"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":[0.0012337008,0.0016184163,0.6966236,0.0002367622,0.00068085955,5.7177203e-7,0.000040062063,0.000006230427,0.00062846864,0.00013248407,0.0055308635,0.293268],"study_design_scores_gemma":[0.0021500809,0.0011549022,0.98439443,0.0005880092,0.00024400823,0.000003428326,0.00007812662,0.00007373219,0.00031665497,0.010074912,0.00085741584,0.00006430861],"about_ca_topic_score_codex":0.0015357733,"about_ca_topic_score_gemma":0.0007052158,"teacher_disagreement_score":0.29320368,"about_ca_system_score_codex":0.0005058134,"about_ca_system_score_gemma":0.0007798894,"threshold_uncertainty_score":0.47759083},"labels":[],"label_agreement":null},{"id":"W4417502708","doi":"10.1158/1055-9965.epi-25-1006","title":"Germline Predisposition to Oncogenic Alkylating Damage in Colorectal Cancer","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Nutritional Studies and Diet","field":"Medicine","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":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Institutes of Health; Cancer Research UK; National Cancer Institute; Janssen Pharmaceuticals; Centers for Disease Control and Prevention; American Cancer Society","keywords":"Colorectal cancer; Germline; Cancer; Germline mutation; Genetic predisposition; Colonic disease","score_opus":0.03905711793665221,"score_gpt":0.4148020960733982,"score_spread":0.37574497813674596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417502708","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":[0.95729846,0.012609011,0.0011307556,0.025751805,0.00082683435,0.0010833882,0.000064518674,0.000060421287,0.0011748056],"genre_scores_gemma":[0.9882544,0.0022502646,0.00336447,0.0035347927,0.00034416738,0.0012326441,0.00023988084,0.000017639295,0.0007616904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818164,0.00026002948,0.00062455435,0.00046300713,0.00008550895,0.00038522956],"domain_scores_gemma":[0.9991804,0.0003290109,0.00014966805,0.0001291381,0.0001059453,0.000105839244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095153996,0.00017601984,0.0005233312,0.00022940773,0.00011310612,0.0000038321177,0.000075050564,0.00018553447,0.00022046771],"category_scores_gemma":[0.00044204306,0.00016845445,0.00017881586,0.00049150083,0.00009239211,0.00006612391,0.00008271942,0.00017808923,0.000021706594],"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":[0.0017607142,0.00019086832,0.9152595,0.00017909791,0.0004319864,0.000009730344,0.000039343937,0.000118258664,0.01907035,0.00043511676,0.040047992,0.022457035],"study_design_scores_gemma":[0.0019844777,0.00022966786,0.98414457,0.0013188553,0.00018653343,0.000003382957,0.00008023139,0.0007665369,0.0013169615,0.003951161,0.0058722687,0.00014535751],"about_ca_topic_score_codex":0.0007573658,"about_ca_topic_score_gemma":0.002314925,"teacher_disagreement_score":0.06888506,"about_ca_system_score_codex":0.00064361107,"about_ca_system_score_gemma":0.00016726313,"threshold_uncertainty_score":0.68693733},"labels":[],"label_agreement":null}]}