{"meta":{"query_hash":"7e9e06a514b0","filters":{"venue":"European Radiology"},"cohort_total":415,"direct_labels_cover":1,"predictions_cover":415,"exported":415,"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/7e9e06a514b0","api":"https://metacan.xera.ac/api/v1/cohort?venue=European+Radiology"},"results":[{"id":"W12540076","doi":"10.1007/s00330-002-1323-4","title":"Peripheral aneurysm rupture in a patient with inactive systemic lupus erythematosus","year":2002,"lang":"en","type":"article","venue":"European Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Interventional radiology; Embolization; Aneurysm; Neuroradiology; Radiology; Mammary artery; Surgery; Artery; Internal medicine; Neurology","score_opus":0.01021842402439611,"score_gpt":0.20565394275480195,"score_spread":0.19543551873040585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W12540076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97703016,0.0012295725,0.000060981885,0.00011978405,0.000104165694,0.00033751808,0.000005979133,0.000040346367,0.021071501],"genre_scores_gemma":[0.9983309,0.00005245915,0.00028929146,0.0002438959,0.00006222423,0.00001986494,0.000020974896,0.00003212606,0.0009482866],"study_design_codex":"observational","study_design_gemma":"case_report","domain_scores_codex":[0.9990122,0.00024761396,0.00017619353,0.0002617964,0.00008307096,0.00021916063],"domain_scores_gemma":[0.9995521,0.000022390755,0.000063888416,0.0002496085,0.000030488438,0.00008154595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053086856,0.00015362015,0.00030339576,0.00009885966,0.00004430151,0.000005910846,0.000049813738,0.000040000818,0.00019840464],"category_scores_gemma":[0.000014473441,0.00010587981,0.00006127934,0.0001265245,0.0000788497,0.000036660873,0.000019742538,0.00017918386,0.00018525096],"study_design_candidate":"case_report","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":[0.0023001733,0.0032277172,0.55368125,0.00037110178,0.0015398384,0.37692404,0.027614534,0.00037887422,0.0037620077,0.0012987753,0.009922209,0.018979497],"study_design_scores_gemma":[0.013462745,0.0066322433,0.10260988,0.0004720952,0.00031877751,0.8661921,0.003166592,0.0005931296,0.000085291525,0.00002144312,0.005944688,0.0005009957],"about_ca_topic_score_codex":0.000011823847,"about_ca_topic_score_gemma":0.0000070492492,"teacher_disagreement_score":0.4892681,"about_ca_system_score_codex":0.00012460956,"about_ca_system_score_gemma":0.000010297488,"threshold_uncertainty_score":0.43176532},"labels":[],"label_agreement":null},{"id":"W1526790442","doi":"10.1007/s00330-002-1490-3","title":"Pneumonia: high-resolution CT findings in 114 patients","year":2003,"lang":"en","type":"article","venue":"European Radiology","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Hospital and Health Sciences Centre","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Pneumonia; Radiology; Ultrasound; Medical physics; Internal medicine; Neurology","score_opus":0.010612736616710817,"score_gpt":0.2306800953338905,"score_spread":0.2200673587171797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526790442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677171,0.000049696082,0.00004567952,0.00031546378,0.000573627,0.00017770358,0.0000034792683,0.00006493223,0.031052278],"genre_scores_gemma":[0.9981606,0.000030192617,0.00004569933,0.0010035242,0.00008539059,0.0000057175303,0.00001868385,0.000025886528,0.00062427873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986623,0.00047228663,0.0002541345,0.0002485539,0.00007435404,0.0002883555],"domain_scores_gemma":[0.9995773,0.000042691783,0.000044814093,0.00020568623,0.000032363085,0.00009717204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028448968,0.0001238658,0.0002217672,0.00019639557,0.00008049066,0.0000054079087,0.000059206737,0.000038663,0.00009700667],"category_scores_gemma":[0.0002712449,0.000106658044,0.000058545003,0.00020285248,0.00008633486,0.000040650284,0.00001886113,0.00027228345,0.0005500246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022980428,0.00028901923,0.9710707,0.000016283491,0.000030575837,0.0004982398,0.0001360237,0.00007460765,0.022401156,0.0021975923,0.0024251605,0.0008376413],"study_design_scores_gemma":[0.0015521005,0.00038454126,0.8957824,0.000019565587,0.000018946575,0.00036095304,0.000011478024,0.000010175037,0.00021633506,0.000041156887,0.1014989,0.000103440296],"about_ca_topic_score_codex":0.0000094001325,"about_ca_topic_score_gemma":0.0000061745823,"teacher_disagreement_score":0.09907374,"about_ca_system_score_codex":0.00009409119,"about_ca_system_score_gemma":0.000033725264,"threshold_uncertainty_score":0.70696366},"labels":[],"label_agreement":null},{"id":"W1834116834","doi":"10.1007/s00330-015-4071-y","title":"Breast MR biopsy: Pathological and radiological correlation","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Pathological; Biopsy; Granulomatous mastitis; Magnetic resonance imaging; Malignancy; Radiology; Lesion; Neuroradiology; Pathology; Fibrosis; Breast cancer; Cancer; Mastitis; Internal medicine","score_opus":0.04897373365367339,"score_gpt":0.28104526785957956,"score_spread":0.23207153420590618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1834116834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647477,0.0011593862,0.0011320657,0.0054736948,0.00051055924,0.0002237963,0.00001335766,0.0001903398,0.026549077],"genre_scores_gemma":[0.9951203,0.00029765576,0.002365348,0.0011455495,0.0006716553,0.000008190238,0.000048056285,0.000024022069,0.00031923622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843377,0.00057337026,0.00024117861,0.00039157592,0.00010132893,0.00025878774],"domain_scores_gemma":[0.99916995,0.00014348733,0.000070970906,0.00024989198,0.00006239217,0.00030332798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006866961,0.00015200856,0.0003313039,0.000069273075,0.00004184753,0.000009754342,0.00009127364,0.00011998241,0.00015183238],"category_scores_gemma":[0.00019941517,0.00011103958,0.000048501053,0.00010419603,0.00035897683,0.00003805545,0.00008730543,0.00027716343,0.0003647429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006651411,0.00017949626,0.8685639,0.000020289603,0.00006257743,0.0032818518,0.0006659942,0.00005429952,0.001679188,0.0024480966,0.10268023,0.019698974],"study_design_scores_gemma":[0.0021622858,0.0009814787,0.9146688,0.000023644783,0.000064170556,0.05323668,0.00010366874,0.00032560102,0.000014850306,0.00026053024,0.027975097,0.00018321715],"about_ca_topic_score_codex":0.0000041324006,"about_ca_topic_score_gemma":2.9143695e-7,"teacher_disagreement_score":0.07470513,"about_ca_system_score_codex":0.000067689594,"about_ca_system_score_gemma":0.000033297012,"threshold_uncertainty_score":0.4688154},"labels":[],"label_agreement":null},{"id":"W1915781070","doi":"10.1007/s00330-015-3778-0","title":"CT following US for possible appendicitis: anatomic coverage","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Toronto General Hospital; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Appendicitis; Radiology; General surgery; Ultrasound; Medical physics; Neurology","score_opus":0.033156706814147986,"score_gpt":0.29342959117828665,"score_spread":0.26027288436413865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1915781070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84328574,0.0013574554,0.0053996295,0.00079766306,0.0010038852,0.0008111726,0.000017104416,0.00016301463,0.14716433],"genre_scores_gemma":[0.9922512,0.000115853145,0.0011483739,0.0041152467,0.00043864464,0.000031599833,0.00014855458,0.00006517956,0.0016853595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861324,0.00016439486,0.00029575799,0.00037789575,0.00013434855,0.00041438444],"domain_scores_gemma":[0.9992329,0.00007297981,0.00008962092,0.0003205339,0.00003189418,0.00025207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007011771,0.00017691463,0.00040613452,0.00013684518,0.00007742478,0.000021978889,0.00016364302,0.000027451757,0.000085351785],"category_scores_gemma":[0.00017758567,0.00015909296,0.00018812585,0.00009591163,0.000057983703,0.00006458989,0.0000929399,0.0001246983,0.0005222688],"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":[0.0005763862,0.0005055472,0.16141722,0.00017599807,0.001047446,0.0123853395,0.00069970306,0.00013726829,0.0013043844,0.026764695,0.75495344,0.04003255],"study_design_scores_gemma":[0.012441876,0.002198511,0.12852684,0.00015727212,0.00039385515,0.0014073518,0.00032250778,0.00035687693,0.00034617042,0.0011455965,0.85222113,0.0004820389],"about_ca_topic_score_codex":0.00002838212,"about_ca_topic_score_gemma":0.000004513724,"teacher_disagreement_score":0.14896543,"about_ca_system_score_codex":0.00010887199,"about_ca_system_score_gemma":0.000054187083,"threshold_uncertainty_score":0.6712884},"labels":[],"label_agreement":null},{"id":"W1965694852","doi":"10.1007/s00330-008-1112-9","title":"“Tenomalacia”: a new sonographic sign of tendinopathy?","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Saint-Luc; Centre Hospitalier de l’Université de Montréal; McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Vascularity; Tendon; Tendinopathy; Asymptomatic; Tendinosis; Elbow; Patellar tendon; Radiology; Anatomy; Surgery","score_opus":0.024542397540637962,"score_gpt":0.23344681722840405,"score_spread":0.20890441968776607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965694852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94983083,0.0014751796,0.0002456156,0.00030504065,0.0001689025,0.00017337901,0.0000043639275,0.00008116206,0.047715552],"genre_scores_gemma":[0.99549586,0.00020250615,0.0017488494,0.00033174944,0.0002892581,0.0000013707296,0.00001840674,0.000026289614,0.0018857262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991132,0.00013047826,0.0002407963,0.00022182813,0.00007951428,0.0002141887],"domain_scores_gemma":[0.99939555,0.000034816767,0.00008765566,0.00029972897,0.000028505769,0.00015375638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007591166,0.00013649685,0.00035140433,0.00014392231,0.00004376621,0.0000011588246,0.00008235895,0.0000379731,0.00016610052],"category_scores_gemma":[0.000030171748,0.00010110281,0.00013382094,0.00014812278,0.0001752119,0.000019125959,0.000026329215,0.00011985111,0.00012665892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008189441,0.0003799246,0.85846955,0.00005542303,0.00077944883,0.013039254,0.0033858274,0.0000088468805,0.032462157,0.0035492661,0.03695246,0.05009889],"study_design_scores_gemma":[0.0025629136,0.0013470531,0.95757693,0.000015422884,0.00011207019,0.0094033005,0.000036019468,0.0000020631803,0.0011955837,0.000108306594,0.027531639,0.000108687425],"about_ca_topic_score_codex":0.000016558619,"about_ca_topic_score_gemma":0.0000010248837,"teacher_disagreement_score":0.09910738,"about_ca_system_score_codex":0.000014369404,"about_ca_system_score_gemma":0.0000659108,"threshold_uncertainty_score":0.41228527},"labels":[],"label_agreement":null},{"id":"W1967631640","doi":"10.1007/s00330-006-0537-2","title":"Imaging of Budd-Chiari syndrome","year":2007,"lang":"en","type":"review","venue":"European Radiology","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Budd–Chiari syndrome; Medicine; Portal hypertension; Radiology; Neuroradiology; Paroxysmal nocturnal hemoglobinuria; Cirrhosis; Inferior vena cava; Internal medicine; Neurology","score_opus":0.04514344208343221,"score_gpt":0.33194313393935865,"score_spread":0.28679969185592646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967631640","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":[0.00015245976,0.9682005,0.00015473638,0.00000925588,0.00026804928,0.0003076447,0.00004301047,0.00004958332,0.030814767],"genre_scores_gemma":[0.0016684958,0.9969339,0.00014004933,0.00010368136,0.00022352277,0.0000024145122,0.0005649223,0.000063656735,0.00029936957],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985501,0.0003513059,0.0005092662,0.00028341069,0.00009424256,0.00021165742],"domain_scores_gemma":[0.9992264,0.00011713859,0.00020967968,0.00030540887,0.000031930405,0.00010944375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441866,0.00022407659,0.0011455776,0.00026903997,0.00002171394,0.0000029984938,0.00013301209,0.00007150378,0.00015398163],"category_scores_gemma":[0.000009884489,0.00017531934,0.00034776804,0.00013732111,0.000108209846,0.000023581706,0.000022792878,0.0002764468,0.00041062752],"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":[0.00004880282,0.00008586834,0.00064934266,0.032053404,0.0012788964,0.013093398,0.00013212835,2.3133111e-7,0.0000032217217,0.00044114492,0.00064987334,0.9515637],"study_design_scores_gemma":[0.000644263,0.00015643355,0.0050601987,0.009221024,0.0067919735,0.017858218,0.000008417155,0.000001016867,9.5073915e-7,0.000008660896,0.96001023,0.00023861969],"about_ca_topic_score_codex":0.0000043449645,"about_ca_topic_score_gemma":1.6183253e-7,"teacher_disagreement_score":0.95936036,"about_ca_system_score_codex":0.000028905943,"about_ca_system_score_gemma":0.00010458557,"threshold_uncertainty_score":0.7149315},"labels":[],"label_agreement":null},{"id":"W1970409633","doi":"10.1007/s00330-008-1282-5","title":"Is there a role for virtual otoscopy in the preoperative assessment of the ossicular chain in chronic suppurative otitis media? Comparison of HRCT and virtual otoscopy with surgical findings","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Neuroradiology; Chronic Suppurative Otitis Media; Interventional radiology; Radiology; Surgery; Neurology","score_opus":0.015314338836580132,"score_gpt":0.30619475089171294,"score_spread":0.2908804120551328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970409633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550337,0.00077134516,0.00012729123,0.0011757625,0.00009642148,0.0009180075,0.00003485631,0.0000072380963,0.0013656913],"genre_scores_gemma":[0.9992036,0.00010924609,0.00017476256,0.00025885415,0.000115392606,0.00002413504,0.000025037425,0.000016986949,0.00007193537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767023,0.0011164498,0.00044763976,0.0002915314,0.00020388339,0.00027026382],"domain_scores_gemma":[0.9987276,0.00076046697,0.00015721607,0.00025098186,0.000050301365,0.00005339082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008170361,0.00018808943,0.00062674587,0.00009688989,0.000054888824,0.000008236482,0.00019089972,0.0000766103,0.000055501827],"category_scores_gemma":[0.00013279243,0.00010140375,0.00007821056,0.00023599873,0.00045384953,0.000055770477,0.000034012304,0.00040414106,0.0000013754964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010579063,0.000556467,0.92462313,0.00006408607,0.00013306543,0.00034595636,0.048170518,0.00022663946,0.015153863,0.00650422,0.0008611162,0.0023030574],"study_design_scores_gemma":[0.003740695,0.0059178467,0.9755335,0.00036906154,0.00004639755,0.00015160993,0.0040255436,0.0010119573,0.00857913,0.00003591508,0.00045552003,0.00013281386],"about_ca_topic_score_codex":0.000026308995,"about_ca_topic_score_gemma":0.00016559665,"teacher_disagreement_score":0.050910402,"about_ca_system_score_codex":0.00006698461,"about_ca_system_score_gemma":0.00019432793,"threshold_uncertainty_score":0.4135125},"labels":[],"label_agreement":null},{"id":"W1970543858","doi":"10.1007/s00330-004-2437-7","title":"Synchronous development of breast cancer and chest wall fibrosarcoma after previous mantle radiation for Hodgkin’s disease","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; Hamilton General Hospital","funders":"","keywords":"Medicine; Radiology; Neuroradiology; Breast carcinoma; Breast cancer; Radiation therapy; Disease; Interventional radiology; Fibrosarcoma; Sarcoma; Cancer; Oncology; Pathology; Internal medicine; Neurology","score_opus":0.006254404712403119,"score_gpt":0.22942809391749627,"score_spread":0.22317368920509315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970543858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98978835,0.007975221,0.0010319903,0.0005175692,0.000100450176,0.00028454335,0.00020743455,0.000012489591,0.00008192379],"genre_scores_gemma":[0.9967163,0.0005915316,0.0019569409,0.00017841918,0.00020069403,0.00011484949,0.00015121128,0.000030152294,0.00005989297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921244,0.00004749429,0.00018626337,0.00031459302,0.000040366063,0.00019881455],"domain_scores_gemma":[0.9996185,0.000009713961,0.00008246356,0.00017217091,0.00004012216,0.000077064404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007846398,0.00015292746,0.0001635324,0.000027426564,0.000065464825,0.000005464166,0.00008326539,0.00003580894,0.0000092459695],"category_scores_gemma":[0.0000132541745,0.0001369551,0.00004772105,0.000025027073,0.00011356605,0.0000035444295,0.0000760218,0.000028398299,0.0000043718355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008470528,0.0011553904,0.46708888,0.0012987518,0.0024974835,0.00015794272,0.0057302625,0.00091611315,0.10075599,0.00039376374,0.0031905188,0.4083444],"study_design_scores_gemma":[0.0017330482,0.000121067285,0.9800551,0.00003756862,0.000063682375,0.00005979735,0.000016030055,0.0000032335197,0.0036871948,0.000026664502,0.014017392,0.0001792352],"about_ca_topic_score_codex":0.000015474745,"about_ca_topic_score_gemma":0.000034691388,"teacher_disagreement_score":0.5129662,"about_ca_system_score_codex":0.000054993347,"about_ca_system_score_gemma":0.00010181552,"threshold_uncertainty_score":0.5584867},"labels":[],"label_agreement":null},{"id":"W1970631170","doi":"10.1007/s00330-011-2373-2","title":"Dynamic contrast enhanced ultrasound assessment of the vascular effects of novel therapeutics in early stage trials","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute for Health and Care Research; Cancer Research UK","keywords":"Medicine; Ultrasound; Vascularity; Blood flow; Radiology; Clinical trial; Contrast-enhanced ultrasound; Neuroradiology; Medical physics; Dynamic contrast; Interventional radiology; Magnetic resonance imaging; Pathology","score_opus":0.019486037484033818,"score_gpt":0.30288647878521746,"score_spread":0.28340044130118364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970631170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850789,0.003431477,0.009874257,0.000010818054,0.00039292185,0.0002938755,0.000025927333,0.0000029802782,0.0008888811],"genre_scores_gemma":[0.9983379,0.0008243197,0.0004260227,0.00012193392,0.00010917676,0.000009381773,0.000014719433,0.000024973919,0.00013154405],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99818635,0.0009091044,0.00040931572,0.00017650488,0.000085100204,0.00023363516],"domain_scores_gemma":[0.9991004,0.0001694721,0.0002842321,0.0003729725,0.000040390005,0.00003254461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012195595,0.00013240101,0.0003599333,0.000030012994,0.000023198407,0.0000030415017,0.00024536072,0.0000838865,0.0000093166855],"category_scores_gemma":[0.00015203432,0.000090824244,0.0002187295,0.000073882955,0.00015857896,0.0000029872285,0.00006232524,0.000079049045,9.4200783e-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":[0.000030839805,0.00013790082,0.03144968,0.000029616791,0.00018136311,3.5477015e-7,0.000116710136,0.0001124185,0.9672933,0.00019284361,0.000017853703,0.00043712012],"study_design_scores_gemma":[0.0015202711,0.00023467658,0.6733223,0.000023761131,0.00006407231,0.000004398028,0.000029987332,0.000021409467,0.32223994,0.0000030568733,0.0024211989,0.00011493309],"about_ca_topic_score_codex":0.000010864621,"about_ca_topic_score_gemma":0.000007535952,"teacher_disagreement_score":0.6450533,"about_ca_system_score_codex":0.000017851546,"about_ca_system_score_gemma":0.00004414984,"threshold_uncertainty_score":0.37037054},"labels":[],"label_agreement":null},{"id":"W1971121944","doi":"10.1007/s00330-013-2980-1","title":"Image noise-based dose adaptation in dynamic volume CT of the heart: dose and image quality optimisation in comparison with BMI-based dose adaptation","year":2013,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; Queen's University","funders":"Pfizer","keywords":"Neuroradiology; Image quality; Interventional radiology; Medicine; Adaptation (eye); Ultrasound; Radiology; Noise (video); Image noise; Nuclear medicine; Medical physics; Image (mathematics); Computer vision; Computer science; Psychology; Neurology; Neuroscience","score_opus":0.023417389520769737,"score_gpt":0.2841816054868132,"score_spread":0.2607642159660435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971121944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99155647,0.00014508447,0.0040304177,0.0027705012,0.00006496419,0.0008685101,0.000008635091,0.000038262915,0.00051718485],"genre_scores_gemma":[0.9915177,0.000009879974,0.007587177,0.00061308354,0.000035210553,0.00002609292,0.00014282354,0.000026468784,0.000041563737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973293,0.0012371847,0.00064281124,0.00034466613,0.00018512762,0.00026089672],"domain_scores_gemma":[0.998963,0.00021327873,0.0003265884,0.00031634673,0.00010323718,0.00007752415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090461795,0.0001889496,0.0004060318,0.00022424504,0.00005758813,0.00002983179,0.00010586807,0.000038528833,0.00007379858],"category_scores_gemma":[0.00023967234,0.00013664596,0.00005472802,0.00034365666,0.00020286237,0.00026461837,0.000021788896,0.00028394983,0.000034411383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001821829,0.00084297836,0.58890635,0.00032668392,0.000058301306,0.0000806857,0.0050817076,0.10551514,0.25253987,0.000052294985,0.000751275,0.044022873],"study_design_scores_gemma":[0.0029688494,0.00017265466,0.57504964,0.00006101385,0.000017255687,0.000012710701,0.0003655792,0.4209524,0.00023964782,0.0000066248526,0.000063697575,0.00008992122],"about_ca_topic_score_codex":0.00082971965,"about_ca_topic_score_gemma":0.00037877285,"teacher_disagreement_score":0.31543726,"about_ca_system_score_codex":0.0001360191,"about_ca_system_score_gemma":0.00013655444,"threshold_uncertainty_score":0.55722606},"labels":[],"label_agreement":null},{"id":"W1973236405","doi":"10.1007/s00330-009-1668-z","title":"Alcohol-induced changes in the brain as assessed by MRI and CT","year":2009,"lang":"en","type":"review","venue":"European Radiology","topic":"Alcoholism and Thiamine Deficiency","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Neuroradiology; Medicine; Interventional radiology; Radiology; Ultrasound; Magnetic resonance imaging; Neurology; Nuclear medicine; Psychiatry","score_opus":0.06610808520459083,"score_gpt":0.36113010561929776,"score_spread":0.29502202041470693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973236405","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":[0.0018719209,0.9472678,0.0000030653362,0.0023051447,0.00019073246,0.0008689579,0.00001807046,0.000050555318,0.04742377],"genre_scores_gemma":[0.0019240429,0.9919838,0.000017415708,0.0038110383,0.0005049491,0.00002145173,0.0003119228,0.000068959605,0.0013564524],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962447,0.0020757066,0.00046115025,0.0006133078,0.00016065601,0.0004444422],"domain_scores_gemma":[0.99848384,0.0005405952,0.00023573899,0.00062016444,0.000017710665,0.00010195271],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016569578,0.00045430553,0.0016204513,0.0002462206,0.00007099359,0.000028010407,0.00041146955,0.00013779533,0.000045736084],"category_scores_gemma":[0.0004075404,0.00026543404,0.00016218441,0.00034380707,0.00013333275,0.000027413658,0.00007438332,0.0008312926,0.00023218128],"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":[0.000014748257,0.00010865876,0.000023736768,0.0015905598,0.000079263256,0.003161522,0.0002869293,1.9602453e-8,0.000040111256,0.00061349483,0.04899897,0.945082],"study_design_scores_gemma":[0.0007400378,0.0007426701,0.0004785103,0.0011117108,0.00033815697,0.008205848,0.00003835034,7.629682e-7,0.0000012553704,0.000014444733,0.9880829,0.00024534954],"about_ca_topic_score_codex":0.000017979291,"about_ca_topic_score_gemma":0.0000052611267,"teacher_disagreement_score":0.9448366,"about_ca_system_score_codex":0.000038806505,"about_ca_system_score_gemma":0.00009173729,"threshold_uncertainty_score":0.9999798},"labels":[],"label_agreement":null},{"id":"W1975026585","doi":"10.1007/s00330-009-1710-1","title":"Comparison of low dose with standard dose abdominal/pelvic multidetector CT in patients with stage 1 testicular cancer under surveillance","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Interventional radiology; Radiology; Stage (stratigraphy); Neuroradiology; Testicular cancer; Nuclear medicine; Ultrasound; Cancer; Internal medicine","score_opus":0.010636104154021485,"score_gpt":0.28310919371366966,"score_spread":0.27247308955964816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975026585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827915,0.00014559278,0.00026797553,0.00012553083,0.00014715001,0.0003968542,0.000036823814,0.000036981593,0.0005639077],"genre_scores_gemma":[0.9987097,0.000010389282,0.0008077755,0.000188999,0.000082109276,0.0000065287536,0.000033608496,0.000050800118,0.000110081244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998591,0.0002197211,0.0003546621,0.0003195515,0.00020443801,0.00031061933],"domain_scores_gemma":[0.999033,0.0001228821,0.00022961688,0.00036713594,0.00013133536,0.00011604961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032836534,0.00018961339,0.0005248886,0.00014775923,0.00003898239,0.000009886156,0.00011895431,0.000026831822,0.00013572167],"category_scores_gemma":[0.00013537158,0.00013224497,0.000032411823,0.000218199,0.00023091983,0.00007111129,0.000026171521,0.00039445708,0.000018050401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014600134,0.00016729807,0.98805916,0.000053654192,0.000063066356,0.000104943225,0.00034652674,0.0014158176,0.004062783,0.0000080385735,0.00014016502,0.0041185054],"study_design_scores_gemma":[0.008190398,0.0008878119,0.98714274,0.0000877344,0.00002615258,0.000021164666,0.000080111546,0.0010444542,0.001161331,7.494027e-7,0.0011902059,0.00016714532],"about_ca_topic_score_codex":0.00009119627,"about_ca_topic_score_gemma":0.00027795142,"teacher_disagreement_score":0.0067303847,"about_ca_system_score_codex":0.00007701504,"about_ca_system_score_gemma":0.000118154094,"threshold_uncertainty_score":0.53927934},"labels":[],"label_agreement":null},{"id":"W1975555843","doi":"10.1007/s00330-008-0994-x","title":"Radiation dose in CT colonography–trends in time and differences between daily practice and screening protocols","year":2008,"lang":"en","type":"review","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hebrew University of Jerusalem; York University; University of Chicago; Konyang University; Memorial Sloan-Kettering Cancer Center; Centre Hospitalier Universitaire Vaudois; Brigham and Women's Hospital; Gentofte Hospital; Postgraduate Institute of Medical Education and Research, Chandigarh; Università di Pisa; U.S. Department of Veterans Affairs","keywords":"Medicine; Effective dose (radiation); Interventional radiology; Supine position; Nuclear medicine; Neuroradiology; Radiation dose; Dosimetry; Medical physics; Clinical Practice; Radiology; Surgery; Nursing","score_opus":0.06662363618457554,"score_gpt":0.3720882547380129,"score_spread":0.3054646185534373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975555843","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":[0.005064882,0.9845176,0.0000069014154,0.0002471801,0.000030428237,0.0049156803,0.000017478378,0.000045623587,0.005154246],"genre_scores_gemma":[0.0012099436,0.9968941,0.0004088545,0.00017815939,0.0003255276,0.00042968284,0.0002538337,0.00005192044,0.00024798317],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963958,0.0019272576,0.00071226544,0.0005189077,0.00012568441,0.00032008666],"domain_scores_gemma":[0.998556,0.0006507176,0.00042404822,0.00022943664,0.000015655838,0.00012414414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009433985,0.0003180123,0.001439402,0.0011209866,0.00007004996,0.000040063052,0.00014354652,0.00009798072,0.000019349633],"category_scores_gemma":[0.0004023847,0.0002687215,0.00009261341,0.0004715276,0.00016630786,0.00019822954,0.000083291925,0.00073273364,0.000022509977],"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":[0.000028922424,0.000034110442,0.043172568,0.0004745705,0.00007810161,0.00044032128,0.0001892864,2.4862533e-7,5.5370845e-7,0.0000057937045,0.00072037114,0.95485514],"study_design_scores_gemma":[0.0012582972,0.00026828042,0.28788525,0.0024343764,0.0001442607,0.0014426669,0.000010021184,0.000028323528,9.345044e-8,0.0000012014397,0.70632184,0.00020539059],"about_ca_topic_score_codex":0.000030630537,"about_ca_topic_score_gemma":0.0000016302745,"teacher_disagreement_score":0.95464975,"about_ca_system_score_codex":0.000046450223,"about_ca_system_score_gemma":0.00006351265,"threshold_uncertainty_score":0.9999765},"labels":[],"label_agreement":null},{"id":"W1979216323","doi":"10.1007/s00330-012-2567-2","title":"Monitoring therapeutic effects in experimental stroke by serial USPIO-enhanced MRI","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Agence Nationale de la Recherche; Institut National de la Santé et de la Recherche Médicale; University of Michigan","keywords":"Minocycline; Medicine; Neuroradiology; Immunostaining; Stroke (engine); Magnetic resonance imaging; Microglia; Interventional radiology; Pathology; Neurology; Anesthesia; Radiology; Internal medicine; Inflammation; Immunohistochemistry; Antibiotics","score_opus":0.026206911883046944,"score_gpt":0.27245451414196376,"score_spread":0.24624760225891681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979216323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99090546,0.00022893133,0.0018565805,0.00007247292,0.00334829,0.0002828357,0.0000032430005,0.0001526932,0.0031494887],"genre_scores_gemma":[0.9974923,0.000052163752,0.000155931,0.00081004197,0.00068131613,0.000021292368,0.000002327006,0.00004716527,0.0007374287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973099,0.0014380938,0.0002730521,0.0003789416,0.00014446884,0.0004555102],"domain_scores_gemma":[0.999367,0.0001702474,0.00009116435,0.00023847111,0.0000068235636,0.0001262908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025694727,0.0001904685,0.0001827642,0.000096208474,0.00009765806,0.00003634396,0.00023939955,0.000043738175,0.00007901884],"category_scores_gemma":[0.00010541179,0.000186012,0.000047591915,0.00012177526,0.000059889102,0.00025707702,0.000068225236,0.00020923013,0.000443133],"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":[0.000045286117,0.00007749263,0.00035134668,0.00000332706,0.0000015596647,0.000022868497,0.00049660995,0.00004939898,0.9967908,0.0012197702,0.00017556369,0.00076596154],"study_design_scores_gemma":[0.00088626967,0.00018601766,0.0015343839,0.0000050572958,0.0000025731672,0.000048257818,0.000027150696,0.00007847458,0.99497926,0.000011212006,0.0020748267,0.00016652989],"about_ca_topic_score_codex":7.546228e-7,"about_ca_topic_score_gemma":1.5462702e-7,"teacher_disagreement_score":0.006586869,"about_ca_system_score_codex":0.00003926077,"about_ca_system_score_gemma":0.000008564176,"threshold_uncertainty_score":0.7585349},"labels":[],"label_agreement":null},{"id":"W1980076503","doi":"10.1007/s00330-008-1212-6","title":"Sonographic anatomy and dynamic study of the normal iliopsoas musculotendinous junction","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"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":"Iliopsoas; Groin; Medicine; Iliopsoas Muscle; Asymptomatic; Anatomy; Tendon; Neuroradiology; Surgery","score_opus":0.010272217571817947,"score_gpt":0.24285399056942994,"score_spread":0.23258177299761199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980076503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383247,0.000384886,0.0000108533695,0.00010128208,0.00015308744,0.00031895758,0.0000011271237,0.00002480373,0.005172527],"genre_scores_gemma":[0.9993142,0.00014801073,0.000023780285,0.00008050762,0.000023591136,0.000003405767,0.000005028436,0.000015446429,0.0003860409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992417,0.00022644785,0.00015518554,0.00017223448,0.00007196187,0.00013247164],"domain_scores_gemma":[0.9996249,0.000015520647,0.000060511764,0.00023130153,0.000022868026,0.000044885466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091343056,0.00009408546,0.00018598496,0.00009140205,0.00012591765,0.0000013971834,0.000058250018,0.00002374695,0.000018526145],"category_scores_gemma":[0.00001635328,0.000058824477,0.000054826905,0.00016299484,0.00017617716,0.000020609607,0.000039910432,0.0001089134,0.000012260033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112609145,0.0006585741,0.99313134,0.0000122323245,0.00018858745,0.00030032752,0.00194942,0.000007603109,0.00028050385,0.000020430927,0.0001341855,0.0032041583],"study_design_scores_gemma":[0.0027928732,0.0012153876,0.99369484,0.000006009231,0.00009324939,0.0010639725,0.00043839536,0.000042590207,0.0000034827074,0.000005257316,0.00059541716,0.00004849423],"about_ca_topic_score_codex":0.00006161098,"about_ca_topic_score_gemma":0.00004151039,"teacher_disagreement_score":0.005481713,"about_ca_system_score_codex":0.0000105367135,"about_ca_system_score_gemma":0.000013947624,"threshold_uncertainty_score":0.23987925},"labels":[],"label_agreement":null},{"id":"W1981109681","doi":"10.1007/s00330-014-3555-5","title":"Adipose tissue compartments, muscle mass, muscle fat infiltration, and coronary calcium in institutionalized frail nonagenarians","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Adipose tissue; Cardiology; Calcification; Muscle tissue; Abdomen; Internal medicine; Coronary artery disease; Anatomy","score_opus":0.041132323684699774,"score_gpt":0.30926436507640914,"score_spread":0.2681320413917094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981109681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9354777,0.001458609,0.006632889,0.007089183,0.0006715571,0.000732064,0.000021069334,0.00016817868,0.047748774],"genre_scores_gemma":[0.9897643,0.0001392979,0.0028960058,0.0061735366,0.00038408893,0.0000122620495,0.00019419072,0.000022466029,0.0004138829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845845,0.00051844673,0.0003667537,0.00029296565,0.00009676432,0.00026665104],"domain_scores_gemma":[0.99941546,0.000085788146,0.000071263064,0.00020267349,0.000041907795,0.00018292162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047418705,0.00013503604,0.00030019606,0.0001361989,0.0001222183,0.000010900547,0.00007290485,0.00006113941,0.00018852325],"category_scores_gemma":[0.00008939627,0.00013144934,0.000025135269,0.00010944616,0.0001939982,0.00006647162,0.000031428033,0.00023273163,0.00014928664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010849659,0.0013431275,0.569134,0.0009800554,0.00017865168,0.0022066166,0.0036838327,0.000307037,0.15406057,0.09918064,0.09965063,0.068189874],"study_design_scores_gemma":[0.0029835685,0.00019894804,0.57712257,0.000050612885,0.000014249116,0.00017366851,0.000032961412,0.0002545272,0.00007216908,0.00020126846,0.41880047,0.00009500303],"about_ca_topic_score_codex":0.00002159632,"about_ca_topic_score_gemma":0.000021566317,"teacher_disagreement_score":0.31914985,"about_ca_system_score_codex":0.000065397624,"about_ca_system_score_gemma":0.000042797757,"threshold_uncertainty_score":0.5360348},"labels":[],"label_agreement":null},{"id":"W1983747833","doi":"10.1007/s00330-012-2379-4","title":"Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials","funders":"Imperial Experimental Cancer Medicine Centre; National Institute for Health and Care Research; Cancer Research UK","keywords":"Medicine; Neuroradiology; Radiology; Vascularity; Interventional radiology; Medical physics","score_opus":0.03438347323562078,"score_gpt":0.35037736989464646,"score_spread":0.31599389665902566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983747833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79396945,0.033889648,0.16304575,0.0036493328,0.0014539837,0.002525271,0.00011418139,0.000116563715,0.0012358291],"genre_scores_gemma":[0.98592794,0.0038694658,0.009207396,0.00053122744,0.0002945261,0.000054319848,0.00006417928,0.000037524453,0.000013423201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987128,0.00018772972,0.00035729635,0.000227686,0.0001353171,0.00037920146],"domain_scores_gemma":[0.99879205,0.00031536355,0.00016936239,0.00029739365,0.0002808886,0.00014491208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000659079,0.0001629179,0.00039347337,0.00008556798,0.000053345695,0.0000058654377,0.00010716308,0.000024589262,0.000042066345],"category_scores_gemma":[0.00006367226,0.00009833312,0.0000944278,0.00011962549,0.00022228919,0.000037809084,0.00004389505,0.00014264391,0.0000021041226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053915766,0.0007687975,0.8208437,0.00075215957,0.0021273997,0.000021607926,0.0013074022,0.00052895007,0.017358085,0.0015675081,0.063323684,0.09086153],"study_design_scores_gemma":[0.0030523362,0.0009963064,0.93457675,0.00011759081,0.00041248108,0.00006670732,0.000116640054,0.0013359608,0.00037447797,0.000008155567,0.05880405,0.00013852165],"about_ca_topic_score_codex":0.00000704672,"about_ca_topic_score_gemma":0.0000060767907,"teacher_disagreement_score":0.1919585,"about_ca_system_score_codex":0.000036812806,"about_ca_system_score_gemma":0.000075878575,"threshold_uncertainty_score":0.40099084},"labels":[],"label_agreement":null},{"id":"W1985188432","doi":"10.1007/s00330-012-2569-0","title":"Augmented reality visualisation using an image overlay system for MR-guided interventions: technical performance of spine injection procedures in human cadavers at 1.5 Tesla","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Medicine; Cadaver; Facet joint; Neuroradiology; Facet (psychology); Magnetic resonance imaging; Radiology; Interventional radiology; Cadaveric spasm; Nuclear medicine; Surgery; Neurology; Lumbar","score_opus":0.1012826376676615,"score_gpt":0.3964587195106208,"score_spread":0.2951760818429593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985188432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958387,0.00013429292,0.0015895015,0.000033471664,0.00022392147,0.0005885473,0.000011989263,0.00008130409,0.0014982558],"genre_scores_gemma":[0.99798375,0.000008350829,0.0012819993,0.00007498127,0.00022710579,0.000024618319,0.00018197739,0.00003101558,0.00018618446],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982914,0.00040710066,0.00069282984,0.00025197183,0.00007849457,0.00027823044],"domain_scores_gemma":[0.9993011,0.000008554579,0.00027443244,0.00024426705,0.000096192925,0.00007549192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010524022,0.00014561373,0.0003798845,0.00023432511,0.000073643874,0.000003800865,0.000092277245,0.000090572394,0.000039809674],"category_scores_gemma":[0.00026268113,0.0001299445,0.0001414091,0.00014394871,0.00013854992,0.00022280589,0.00006290196,0.00013150484,0.000006792068],"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":[0.00016826678,0.0005292577,0.051355336,0.0015003367,0.000042238415,0.000011631386,0.00034043458,0.00006147694,0.94358337,0.00048827945,0.0017015762,0.00021782439],"study_design_scores_gemma":[0.00229812,0.002760535,0.96617156,0.00074581744,0.00011517517,0.0013485083,0.00023840625,0.0024263663,0.02365906,0.0000029553064,0.00007590078,0.0001575974],"about_ca_topic_score_codex":0.00007258472,"about_ca_topic_score_gemma":0.000035020916,"teacher_disagreement_score":0.91992426,"about_ca_system_score_codex":0.00035173053,"about_ca_system_score_gemma":0.000025127314,"threshold_uncertainty_score":0.5298983},"labels":[],"label_agreement":null},{"id":"W1985754688","doi":"10.1007/s00330-014-3339-y","title":"Management of dural carotid cavernous fistulas: a single-centre experience","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Medicine; Interventional radiology; Neuroradiology; Surgery; Complication; Radiosurgery; Retrospective cohort study; Cavernous sinus; Radiology; Neurosurgery; Neurology; Radiation therapy","score_opus":0.015634539196691347,"score_gpt":0.230529279772424,"score_spread":0.21489474057573266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985754688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95452803,0.00014670914,0.0003566459,0.00031657444,0.00012707045,0.00025924027,0.0000034486272,0.000040240837,0.044222027],"genre_scores_gemma":[0.997666,0.000053308304,0.0014666361,0.00019970449,0.00005668614,0.000009232112,0.000030613523,0.000014851073,0.0005029911],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918664,0.00015340124,0.00022376198,0.00017152962,0.00009512592,0.0001695449],"domain_scores_gemma":[0.9994817,0.000023596122,0.00007274639,0.00032105288,0.000033636006,0.000067301255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264531,0.00010152483,0.00021404283,0.0000489842,0.000040258714,0.000004430184,0.0000821769,0.000018894798,0.000097923235],"category_scores_gemma":[0.000023189881,0.00008103218,0.00009390067,0.00006967513,0.00007627201,0.000025441554,0.000050487866,0.00004616795,0.00012305316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000363991,0.0055949455,0.8027085,0.0011620261,0.0029115826,0.0027683983,0.023601044,0.0006544925,0.0053923842,0.026087908,0.015784593,0.11297013],"study_design_scores_gemma":[0.0047577056,0.0012252384,0.9233234,0.000232738,0.00031164096,0.00064878527,0.0012341178,0.00022839113,0.002549693,0.000019898738,0.06522222,0.00024619605],"about_ca_topic_score_codex":0.000006578154,"about_ca_topic_score_gemma":0.0000015951457,"teacher_disagreement_score":0.12061487,"about_ca_system_score_codex":0.00004872822,"about_ca_system_score_gemma":0.0000046320833,"threshold_uncertainty_score":0.33043963},"labels":[],"label_agreement":null},{"id":"W1988200223","doi":"10.1007/s00330-015-3610-x","title":"Intracellular lipid in papillary renal cell carcinoma (pRCC): T2 weighted (T2W) MRI and pathologic correlation","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Neuroradiology; Intraclass correlation; Pathology; Histopathology; Nuclear medicine; Magnetic resonance imaging; Radiology; Papillary renal cell carcinomas; Renal cell carcinoma; Neurology","score_opus":0.02109074917778481,"score_gpt":0.21900437286419094,"score_spread":0.19791362368640614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988200223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95078784,0.0052290787,0.00026372494,0.00043213862,0.00030758817,0.00042995915,0.000003733502,0.00007169036,0.04247425],"genre_scores_gemma":[0.99616903,0.00021270975,0.0015627588,0.0002751671,0.0003933582,0.000008602851,0.00014462392,0.000048425863,0.0011853436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754447,0.00096152857,0.00043332297,0.0005251103,0.00015548665,0.00038011043],"domain_scores_gemma":[0.9990086,0.0000949806,0.00013729537,0.0003981611,0.00006829316,0.00029270165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072563643,0.00026508048,0.0004517204,0.00021587247,0.0000435583,0.000011467903,0.00010504081,0.00013692932,0.000061565515],"category_scores_gemma":[0.00007711865,0.00021368866,0.000064215375,0.00017877655,0.00017304179,0.000057475445,0.00010040188,0.0003851184,0.0002947487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012654801,0.00047241303,0.88169307,0.00011249225,0.00005769364,0.031238537,0.0029136634,0.00016406397,0.06414646,0.00034455827,0.011972498,0.005619072],"study_design_scores_gemma":[0.006545428,0.0037728907,0.9657919,0.000043102773,0.000140875,0.00540789,0.00022898051,0.001550983,0.0056180633,0.00013829823,0.010390643,0.00037097753],"about_ca_topic_score_codex":0.000017834585,"about_ca_topic_score_gemma":0.0000029019784,"teacher_disagreement_score":0.0840988,"about_ca_system_score_codex":0.00017786777,"about_ca_system_score_gemma":0.00007248265,"threshold_uncertainty_score":0.8713971},"labels":[],"label_agreement":null},{"id":"W1990966058","doi":"10.1007/s00330-012-2741-6","title":"Evaluation of distal turbulence intensity for the detection of both plaque ulceration and stenosis grade in the carotid bifurcation using clinical Doppler ultrasound","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Carotid bifurcation; Stenosis; Ultrasound; Radiology; Neuroradiology; Interventional radiology; Doppler ultrasound; Doppler effect; Intensity (physics); Neurology","score_opus":0.08613987816956403,"score_gpt":0.34197529504324453,"score_spread":0.2558354168736805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990966058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99472654,0.00038347073,0.0038578666,0.00009276855,0.00016732285,0.0007064977,0.000008466221,0.0000050052486,0.00005206968],"genre_scores_gemma":[0.9994213,0.00011918291,0.000072612325,0.00010102456,0.00024190074,0.000008901434,0.000025572204,0.000008011114,0.0000014789947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982594,0.0010662318,0.00029120286,0.00011930507,0.00016454923,0.0000992709],"domain_scores_gemma":[0.99911225,0.00039994324,0.00012982967,0.00018710052,0.00014352886,0.000027336606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003694438,0.00006647062,0.0001635625,0.00004042887,0.000055700693,0.000004433305,0.000050291306,0.000030607247,0.000005234695],"category_scores_gemma":[0.0006275571,0.000040170456,0.0000850988,0.00007187205,0.00016783869,0.00006380385,0.000011592707,0.00008882717,4.521116e-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":[0.000214976,0.00029162772,0.9397909,0.00007013549,0.00016458098,2.0412367e-7,0.0031943852,0.00033763467,0.046638828,0.00012564215,0.000072474926,0.009098594],"study_design_scores_gemma":[0.00093439996,0.00019044006,0.99246854,0.000019872736,0.00050598604,0.00013868649,0.0007210362,0.003031778,0.0018823192,0.000021769865,0.000044124874,0.00004103088],"about_ca_topic_score_codex":0.000047664445,"about_ca_topic_score_gemma":0.000026373162,"teacher_disagreement_score":0.05267764,"about_ca_system_score_codex":0.000030517136,"about_ca_system_score_gemma":0.000030589123,"threshold_uncertainty_score":0.16381037},"labels":[],"label_agreement":null},{"id":"W1991311119","doi":"10.1007/s00330-014-3310-y","title":"Diagnostic accuracy of segmental enhancement inversion for the diagnosis of renal oncocytoma using biphasic computed tomography (CT) and multiphase contrast-enhanced magnetic resonance imaging (MRI)","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Neuroradiology; Magnetic resonance imaging; Medicine; Radiology; Computed tomography; Interventional radiology; Contrast enhancement; Oncocytoma; Ultrasound; Tomography; Renal oncocytoma; Diagnostic accuracy; Contrast (vision); Nuclear medicine; Kidney; Neurology; Physics","score_opus":0.020236555985430994,"score_gpt":0.26305993873309635,"score_spread":0.24282338274766535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991311119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713782,0.01123278,0.015629524,0.00015152514,0.00017112192,0.0012228433,0.000028811215,0.000022238144,0.00016295427],"genre_scores_gemma":[0.9945169,0.00053759286,0.0044462774,0.00024852165,0.00012546056,0.000045546603,0.000033412438,0.000034621826,0.000011648753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823713,0.0003968718,0.0005140249,0.0003932732,0.00015773653,0.00030098273],"domain_scores_gemma":[0.99661607,0.0024812773,0.00031996702,0.0003614097,0.00011095594,0.00011030815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042705226,0.0002328081,0.0005052649,0.00015187987,0.00010707083,0.000008365189,0.00015225678,0.00001949395,0.000027390888],"category_scores_gemma":[0.00046961982,0.00016945203,0.00014968916,0.00017090216,0.00044547598,0.000050678358,0.00009909904,0.00011212799,0.0000023457876],"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":[0.0017003566,0.00063148927,0.20351231,0.00038846154,0.00025898367,0.0003084088,0.0008387202,0.00033475689,0.526067,0.00008356813,0.0010383688,0.26483756],"study_design_scores_gemma":[0.015452765,0.0044634817,0.45765877,0.00076811796,0.00077642425,0.00048509956,0.00018869282,0.03174487,0.48674294,0.00002049986,0.0013933226,0.00030502354],"about_ca_topic_score_codex":0.000040108025,"about_ca_topic_score_gemma":0.0000028807153,"teacher_disagreement_score":0.26453254,"about_ca_system_score_codex":0.00007059126,"about_ca_system_score_gemma":0.00003201401,"threshold_uncertainty_score":0.6910053},"labels":[],"label_agreement":null},{"id":"W1993092203","doi":"10.1007/s00330-012-2655-3","title":"Kinematic shoulder MRI: the diagnostic value in acute shoulder dislocations","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Bankart lesion; External rotation; Neuroradiology; Radiology; Internal rotation; Tears; Confidence interval; Glenoid labrum; Anterior shoulder; Surgery; Labrum; Arthroscopy; Internal medicine","score_opus":0.02972378331806638,"score_gpt":0.313088490646362,"score_spread":0.28336470732829566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993092203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92135406,0.0038673775,0.0031858387,0.017074121,0.0011817588,0.0013934849,0.000016254433,0.00017300775,0.051754083],"genre_scores_gemma":[0.9944374,0.0002186094,0.0005422418,0.0026848265,0.00050358364,0.00007648354,0.000059616454,0.00004857035,0.001428648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816847,0.0006284463,0.00034736068,0.00024535455,0.0001305524,0.00047982842],"domain_scores_gemma":[0.99839014,0.00077785715,0.00006660773,0.00058465416,0.000025602867,0.0001551119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053323095,0.00020802219,0.0003114746,0.000108130786,0.000110419336,0.000011094267,0.00017496909,0.000062557316,0.00030341023],"category_scores_gemma":[0.00037778742,0.00012676993,0.000100225385,0.00023271667,0.00018409415,0.00007932707,0.00007255914,0.00032775928,0.00048136126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025722408,0.0027054024,0.8765042,0.00013004697,0.0015178146,0.0014567617,0.010934626,0.0014348209,0.0016124567,0.02989949,0.065474,0.0080731595],"study_design_scores_gemma":[0.0015709911,0.0002826017,0.97727066,0.000051137427,0.00088978506,0.0015211055,0.00025067924,0.00021238242,0.00030630096,0.0002174867,0.017222412,0.0002044298],"about_ca_topic_score_codex":0.0000137884745,"about_ca_topic_score_gemma":0.0000049679643,"teacher_disagreement_score":0.10076649,"about_ca_system_score_codex":0.000073243464,"about_ca_system_score_gemma":0.000032374,"threshold_uncertainty_score":0.61870855},"labels":[],"label_agreement":null},{"id":"W1994684426","doi":"10.1007/s00330-011-2176-5","title":"Reply to letter to the editor re: contrast enhanced ultrasound in the detection of liver metastases: a prospective multi-centre dose testing study using a perfluorobutane microbubble contrast agent (NC100100)","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital","funders":"","keywords":"Medicine; Interventional radiology; Contrast (vision); Ultrasound; Neuroradiology; Radiology; Prospective cohort study; Medical physics; Nuclear medicine; Contrast-enhanced ultrasound; Surgery; Computer science; Artificial intelligence","score_opus":0.030638295428190573,"score_gpt":0.22949978369555948,"score_spread":0.1988614882673689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994684426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770899,0.00015747565,0.019646864,0.000081431455,0.00050595583,0.0020265798,0.00004268617,0.00009509521,0.00035401847],"genre_scores_gemma":[0.9951188,0.0000063559664,0.002837592,0.00084687886,0.0010215127,0.000090980204,0.000003831907,0.00005279926,0.000021252561],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981997,0.00056348194,0.00040695776,0.00036542333,0.000105217216,0.00035921292],"domain_scores_gemma":[0.99881214,0.00047012744,0.000082366605,0.00046322108,0.00010338652,0.00006874153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431139,0.00022891776,0.00028757777,0.00009342025,0.00015477507,0.000031857937,0.00038142464,0.000035921646,0.000027999196],"category_scores_gemma":[0.00036388764,0.00015550488,0.000058493188,0.00040011673,0.0000746908,0.00006216179,0.00003942166,0.0002990106,0.00006618791],"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":[0.00007963318,0.0003561381,0.0016432534,0.000011750385,0.0001223776,0.000035894882,0.04121796,0.0028473048,0.95123476,0.0000057639486,0.0012205953,0.0012245963],"study_design_scores_gemma":[0.011100829,0.0034299155,0.70304143,0.00032930798,0.0011421334,0.0013283581,0.047344487,0.0071192975,0.1561072,0.000027367842,0.06634845,0.00268123],"about_ca_topic_score_codex":0.0003257797,"about_ca_topic_score_gemma":0.0005612521,"teacher_disagreement_score":0.7951275,"about_ca_system_score_codex":0.000096975375,"about_ca_system_score_gemma":0.000014442679,"threshold_uncertainty_score":0.6341305},"labels":[],"label_agreement":null},{"id":"W1995450837","doi":"10.1007/s00330-014-3128-7","title":"Post-mortem whole body computed tomography of opioid (heroin and methadone) fatalities: frequent findings and comparison to autopsy","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; Autopsy; Urinary system; Neuroradiology; Lung; Methadone; Opioid; Radiology; Heroin; Anesthesia; Internal medicine; Neurology; Drug","score_opus":0.015629332898715265,"score_gpt":0.2747543244707387,"score_spread":0.25912499157202346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995450837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98678887,0.00066110893,0.008252447,0.000995584,0.00012223392,0.0003491419,0.000025787334,0.00016720514,0.002637606],"genre_scores_gemma":[0.98346984,0.000027418488,0.0140882125,0.0018865532,0.00009204032,0.0000036742194,0.00005079358,0.000034358516,0.00034708306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857223,0.00028031782,0.00042984806,0.00035082054,0.00010443452,0.0002623689],"domain_scores_gemma":[0.9991704,0.00014169779,0.00011056648,0.0003186349,0.000062564046,0.0001961395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054428726,0.00019717446,0.0006553603,0.00022756483,0.000056073928,0.000013100507,0.00012782602,0.000072204275,0.000024051686],"category_scores_gemma":[0.00010025282,0.00016540421,0.000076066244,0.00012977996,0.00021749026,0.000035852616,0.00014324553,0.00019262882,0.000011146371],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036964886,0.00024847215,0.80129087,0.00062242587,0.00039893267,0.00015643217,0.00789224,0.000010643192,0.1397792,0.013662441,0.013925641,0.021643028],"study_design_scores_gemma":[0.0011801024,0.002007917,0.94947624,0.00012586075,0.00008890332,0.0003436511,0.00026478313,0.000425619,0.0033975178,0.00015751166,0.04230311,0.00022878306],"about_ca_topic_score_codex":0.00007104645,"about_ca_topic_score_gemma":0.0000040637533,"teacher_disagreement_score":0.14818534,"about_ca_system_score_codex":0.000017103082,"about_ca_system_score_gemma":0.000013687043,"threshold_uncertainty_score":0.67449886},"labels":[],"label_agreement":null},{"id":"W1996558714","doi":"10.1007/s003300050032","title":"Cerebellopontine angle lipoma with an incidental scalp lipoma in a patient with hemifacial spasm","year":2000,"lang":"en","type":"letter","venue":"European Radiology","topic":"Teratomas and Epidermoid Cysts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Cerebellopontine angle; Hemifacial spasm; Lipoma; Neuroradiology; Scalp; Interventional radiology; Radiology; Neurosurgery; Magnetic resonance imaging; Neurology; Surgery; Facial nerve","score_opus":0.00795048388731184,"score_gpt":0.21148666209984104,"score_spread":0.2035361782125292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996558714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325481,0.00040523498,0.000012791011,0.043103836,0.00024657545,0.000731559,0.00005875447,0.00020489424,0.022688245],"genre_scores_gemma":[0.61526084,0.000081532686,0.0015012226,0.36888796,0.008457782,0.000047346828,0.0023899481,0.00047857763,0.0028948064],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996169,0.0007596149,0.00067165727,0.0010938966,0.00038115119,0.00092471944],"domain_scores_gemma":[0.9985162,0.000056409935,0.00027073827,0.0008458828,0.00006128984,0.0002494768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020598536,0.0007101921,0.0011825052,0.0004149231,0.00008895519,0.000044834396,0.00031376502,0.00045484252,0.0005177984],"category_scores_gemma":[0.000022622431,0.000509336,0.000120207456,0.00030341157,0.000331766,0.000114004935,0.00008591204,0.0020847085,0.0002709254],"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":[0.0033348792,0.0003885542,0.018828437,0.00016386558,0.00025835706,0.30284056,0.0014543143,0.000017267132,0.00029316245,0.0000049562473,0.65875864,0.013657035],"study_design_scores_gemma":[0.005055333,0.008801363,0.050609354,0.0005586696,0.00016306616,0.06164155,0.000058378148,0.000036784117,0.00009761514,0.000005932996,0.8720999,0.000872102],"about_ca_topic_score_codex":0.0002680144,"about_ca_topic_score_gemma":0.00033505767,"teacher_disagreement_score":0.32578412,"about_ca_system_score_codex":0.00017265392,"about_ca_system_score_gemma":0.00015957623,"threshold_uncertainty_score":0.99973583},"labels":[],"label_agreement":null},{"id":"W1998680812","doi":"10.1007/s00330-001-1198-9","title":"Validation of the Ottawa knee rules in an emergency teaching centre","year":2001,"lang":"en","type":"article","venue":"European Radiology","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiography; Competence (human resources); Emergency department; Predictive value; Physical therapy; Medical physics; Radiology; Nursing; Internal medicine","score_opus":0.024940370582014565,"score_gpt":0.29987585177769877,"score_spread":0.27493548119568423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998680812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599013,0.00012564418,0.000026143362,0.000592559,0.0002432005,0.00014109001,0.0000025961274,0.000020719779,0.03894677],"genre_scores_gemma":[0.9984954,0.00002671102,0.00017506056,0.000087744455,0.000139905,0.0000011697826,0.000029415887,0.000013064225,0.001031501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988268,0.00062839274,0.00021838954,0.00014376514,0.000054992724,0.00012762858],"domain_scores_gemma":[0.99960405,0.000021879978,0.00006501087,0.00025850692,0.000015014026,0.000035526788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002904699,0.000074749776,0.0001321666,0.00004982163,0.000040513914,0.0000014910631,0.00007858872,0.000025120144,0.00022188333],"category_scores_gemma":[0.00007500048,0.000048678616,0.00004729962,0.000060088052,0.000033236523,0.000034125384,0.00002280271,0.0001369816,0.000041443887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000601395,0.00023094125,0.9800196,0.0000082648285,0.000029842387,0.00009840854,0.0011424304,0.000028679324,0.006280244,0.00084071414,0.0009925443,0.010268166],"study_design_scores_gemma":[0.00079041807,0.00025856667,0.9885593,0.000016969454,0.000057550038,0.00015288002,0.00015416996,0.000026078198,0.0017032593,0.00013670496,0.008089067,0.000055001903],"about_ca_topic_score_codex":0.0000202624,"about_ca_topic_score_gemma":0.000022233828,"teacher_disagreement_score":0.038594153,"about_ca_system_score_codex":0.000022998154,"about_ca_system_score_gemma":0.000010447998,"threshold_uncertainty_score":0.24294668},"labels":[],"label_agreement":null},{"id":"W1999159800","doi":"10.1007/s00330-008-1105-8","title":"Use of dynamic CT in acute respiratory distress syndrome (ARDS) with comparison of positive and negative pressure ventilation","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto; Toronto Metropolitan University; Hospital for Sick Children","funders":"","keywords":"ARDS; Atelectasis; Medicine; Ventilation (architecture); Lung; Anesthesia; Oxygenation; Mechanical ventilation; Respiratory distress; Respiratory system; Expiration; Internal medicine","score_opus":0.03058112788428858,"score_gpt":0.2793915612528378,"score_spread":0.24881043336854924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999159800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865115,0.00035628132,0.00021493385,0.00001598293,0.000041181505,0.00029641722,0.00007893701,0.000012776316,0.000332353],"genre_scores_gemma":[0.99922943,0.000028134726,0.00041125042,0.00005441564,0.000008972612,0.000002726426,0.00004326029,0.00002091177,0.00020092007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989082,0.00029807587,0.00033215823,0.00021880354,0.00010636367,0.00013640399],"domain_scores_gemma":[0.999385,0.00007051401,0.00022396914,0.00019263699,0.00006606271,0.00006181682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013571222,0.00012046395,0.00047156407,0.00013920966,0.000027283622,0.0000018398499,0.000053333737,0.00003316045,0.000014288045],"category_scores_gemma":[0.00003647778,0.00009748951,0.000035047175,0.000114869385,0.00028251857,0.00008289792,0.000031478565,0.00015403339,0.0000018286004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022272875,0.0002937364,0.9103111,0.00014816552,0.00045637705,0.004492809,0.0029333946,0.00012944816,0.075670876,0.00013681308,0.00020314002,0.0029968787],"study_design_scores_gemma":[0.0013113192,0.0020614578,0.98674685,0.0001319688,0.00013309167,0.000934251,0.00010123041,0.00020509926,0.0075572412,0.0000039237516,0.00072396966,0.00008962311],"about_ca_topic_score_codex":0.000014852201,"about_ca_topic_score_gemma":0.00001085772,"teacher_disagreement_score":0.07643575,"about_ca_system_score_codex":0.000016042899,"about_ca_system_score_gemma":0.000039435232,"threshold_uncertainty_score":0.3975507},"labels":[],"label_agreement":null},{"id":"W2001217655","doi":"10.1007/s00330-012-2435-0","title":"In vivo MRI discrimination between live and lysed iron-labelled cells using balanced steady state free precession","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Steady-state free precession imaging; In vivo; Lysis; Magnetic resonance imaging; Chemistry; Molecular biology; Medicine; Biology; Radiology","score_opus":0.03377156494542387,"score_gpt":0.31077933858577916,"score_spread":0.2770077736403553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001217655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99382913,0.001014538,0.00045490073,0.0007514185,0.0004829232,0.00042770672,0.000034238336,0.000041098672,0.0029640154],"genre_scores_gemma":[0.99451554,0.0011524127,0.002869569,0.00032007587,0.0005833561,0.000008187126,0.000021235926,0.000051541076,0.00047809337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815834,0.00065988087,0.00033922258,0.00031623727,0.00012328102,0.00040305863],"domain_scores_gemma":[0.9990397,0.0002663719,0.00015475256,0.0003362403,0.000032394608,0.00017055511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064213935,0.00017951126,0.00039131087,0.00015186494,0.0000536019,0.000008962736,0.00013023637,0.00006758797,0.00020846406],"category_scores_gemma":[0.00007983408,0.00015693919,0.000030334897,0.00012138575,0.000115371455,0.00017281431,0.00013896622,0.00022697407,0.000049148373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003322953,0.00028870013,0.72822374,0.00031436482,0.00009452625,0.000120598204,0.016834913,0.00017374694,0.22468145,0.00003014491,0.024195675,0.0047098272],"study_design_scores_gemma":[0.012379974,0.0010091708,0.90045017,0.00077805796,0.0004207955,0.0001350248,0.00082409993,0.001366566,0.065414965,0.00013941615,0.016343674,0.00073811674],"about_ca_topic_score_codex":0.00007571651,"about_ca_topic_score_gemma":0.000013003091,"teacher_disagreement_score":0.17222638,"about_ca_system_score_codex":0.00015589669,"about_ca_system_score_gemma":0.000022417868,"threshold_uncertainty_score":0.6399794},"labels":[],"label_agreement":null},{"id":"W2002334387","doi":"10.1007/s00330-014-3387-3","title":"Embolization in the management of recurrent secondary post-tonsillectomy haemorrhage in children","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Medicine; Interventional radiology; Neuroradiology; Tonsillectomy; Embolization; Radiology; General surgery; Surgery; Neurology","score_opus":0.00988188876080655,"score_gpt":0.2634169379361292,"score_spread":0.25353504917532266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002334387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9493923,0.0002312808,0.00024400932,0.00038215498,0.000079861915,0.00056427467,0.0000044093645,0.000012983836,0.04908869],"genre_scores_gemma":[0.99904174,0.000038419446,0.00042654685,0.00027452494,0.00007866301,0.000008504892,0.00006242943,0.000019480622,0.000049676157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799424,0.0010951925,0.00028622008,0.00024074469,0.00014602258,0.000237593],"domain_scores_gemma":[0.999439,0.00008058861,0.000060434308,0.0003437447,0.00004030558,0.000035943183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010273417,0.000100656776,0.00022428302,0.00026542743,0.00002201305,0.000004571086,0.00022145035,0.000029802688,0.000115763876],"category_scores_gemma":[0.00010126049,0.00007352866,0.00004049502,0.0003221783,0.000125012,0.000029082068,0.000089878915,0.00031107894,0.000059456474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048432444,0.00052911846,0.6552749,0.00026895865,0.00021371944,0.0004941236,0.003268119,0.000055325418,0.0027447795,0.0073942766,0.000550203,0.32872215],"study_design_scores_gemma":[0.00200529,0.00034346816,0.99609065,0.00003292958,0.00001895628,0.00023944672,0.00023265311,0.00027953277,0.00009437503,0.000054919783,0.0005443985,0.0000633584],"about_ca_topic_score_codex":0.000015821603,"about_ca_topic_score_gemma":0.000010021291,"teacher_disagreement_score":0.34081578,"about_ca_system_score_codex":0.000048139755,"about_ca_system_score_gemma":0.000010131566,"threshold_uncertainty_score":0.29984117},"labels":[],"label_agreement":null},{"id":"W2002999434","doi":"10.1007/s00330-009-1480-9","title":"Letter to the Editor: re: Body physique and heart rate variability determine the occurrence of stair-step artefacts in 64-slice CT coronary angiography with prospective ECG-triggering","year":2009,"lang":"en","type":"letter","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Coronary angiography; Radiology; Ultrasound; Heart rate variability; Angiography; Cardiology; Prospective cohort study; Heart rate; Internal medicine; Neurology; Myocardial infarction; Blood pressure","score_opus":0.008068571296737326,"score_gpt":0.23372248807145754,"score_spread":0.22565391677472021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002999434","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":[0.2686449,0.0021915159,0.0007578955,0.71465033,0.004179354,0.00491597,0.00040813664,0.00021504922,0.0040368447],"genre_scores_gemma":[0.58125573,0.00007946507,0.00026532295,0.40451702,0.01355378,0.0000520857,0.00013439855,0.00006974455,0.00007241226],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9965096,0.0017150647,0.00041028552,0.0006790895,0.00021024277,0.00047569143],"domain_scores_gemma":[0.9970135,0.0016738032,0.00019352233,0.0009082971,0.0001297403,0.00008112682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013257347,0.00039846284,0.0007807835,0.00018310852,0.00008354762,0.000026422666,0.00024555542,0.00010659822,0.0000050357207],"category_scores_gemma":[0.00051244465,0.00023300014,0.00020715207,0.00035264474,0.00050644495,0.00004880223,0.00011571538,0.0017149096,0.0000132529885],"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":[0.00015442277,0.000049874,0.05912036,0.00009581538,0.0001251804,0.0010662779,0.00035142686,0.000031691983,0.00015444447,0.0000014481047,0.9378465,0.001002559],"study_design_scores_gemma":[0.0006287316,0.0005552281,0.55617416,0.00018416652,0.00016678125,0.0005480863,0.0000163802,0.000013141808,0.00004082453,0.000007756288,0.44146165,0.00020307637],"about_ca_topic_score_codex":0.0000620958,"about_ca_topic_score_gemma":0.000015309017,"teacher_disagreement_score":0.49705383,"about_ca_system_score_codex":0.0000667154,"about_ca_system_score_gemma":0.0000893334,"threshold_uncertainty_score":0.950147},"labels":[],"label_agreement":null},{"id":"W2004062077","doi":"10.1007/s00330-014-3385-5","title":"Assessment of the relationship between morphological emphysema phenotype and corresponding pulmonary perfusion pattern on a segmental level","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Deutsches Zentrum für Lungenforschung; Bundesministerium für Bildung und Forschung","keywords":"Neuroradiology; Medicine; Interventional radiology; Perfusion; Phenotype; Radiology; Pulmonary emphysema; Ultrasound; Pathology; Lung; Internal medicine; Cardiology; Neurology; Biology","score_opus":0.06313180728600963,"score_gpt":0.32696273156921185,"score_spread":0.2638309242832022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004062077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98736763,0.0000751215,0.0006378087,0.00060654606,0.00013240289,0.00033987156,0.000041709493,0.000025040688,0.010773872],"genre_scores_gemma":[0.998652,0.0000059893514,0.00018515915,0.00024413994,0.00029045687,0.0000049807677,0.00006113618,0.000029537761,0.0005266275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975061,0.0013539998,0.00026485763,0.00037076083,0.00025142662,0.0002528551],"domain_scores_gemma":[0.99853206,0.0007959572,0.000109844135,0.00039269213,0.00003630766,0.00013316928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068602647,0.00015345128,0.00028335245,0.00010697452,0.00017075984,0.00000701727,0.00018041622,0.00006256941,0.00013200236],"category_scores_gemma":[0.00037796109,0.00010363188,0.00008552928,0.00013465155,0.00036176774,0.000030069608,0.00027611124,0.00043503757,0.000039810824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101773956,0.000096131625,0.96930534,0.000057952897,0.000019124089,0.00010933753,0.000068975314,0.00000943587,0.009432415,0.00052075734,0.0001330987,0.020145684],"study_design_scores_gemma":[0.0008099252,0.00038054376,0.99710226,0.000089104244,0.00004429522,0.00030458823,0.000063804815,0.000746788,0.00006268677,0.00012332435,0.00017812646,0.00009453658],"about_ca_topic_score_codex":0.000010995631,"about_ca_topic_score_gemma":6.023629e-7,"teacher_disagreement_score":0.027796963,"about_ca_system_score_codex":0.00013993743,"about_ca_system_score_gemma":0.000052770945,"threshold_uncertainty_score":0.42259854},"labels":[],"label_agreement":null},{"id":"W2006832517","doi":"10.1007/s00330-010-1949-6","title":"High-risk lesions diagnosed at MRI-guided vacuum-assisted breast biopsy: can underestimation be predicted?","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":false,"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; Mount Sinai Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Breast MRI; Breast biopsy; Biopsy; Magnetic resonance imaging; Ultrasound; Breast imaging; Breast cancer; Mammography; Neurology; Internal medicine; Cancer","score_opus":0.028116400698916705,"score_gpt":0.278209767977197,"score_spread":0.2500933672782803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006832517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97267216,0.00007487864,0.00041417876,0.018824179,0.0017976615,0.00062257587,0.00073692197,0.00048113117,0.0043762857],"genre_scores_gemma":[0.98942184,0.00051659637,0.005132794,0.0015997785,0.0011780798,0.000058476897,0.00095298147,0.00013346686,0.0010060095],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.997143,0.0006842018,0.00061708444,0.0007241403,0.00026744965,0.0005641738],"domain_scores_gemma":[0.9973942,0.0005868023,0.0003291817,0.0010615931,0.00017314662,0.0004550832],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005738076,0.0003570037,0.0005608876,0.00025079335,0.0003005782,0.000025010897,0.00033757658,0.00021979181,0.0016782654],"category_scores_gemma":[0.00043890055,0.00031632098,0.00015425854,0.00034282927,0.00040775273,0.00006540326,0.00018894214,0.0007690236,0.00027302772],"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":[0.00033497217,0.0005239512,0.3862498,0.00009726383,0.00045487558,0.0017476811,0.000703131,0.00014751231,0.04677261,0.0014703934,0.550839,0.0106587885],"study_design_scores_gemma":[0.0034041768,0.00031458214,0.96859795,0.000071545466,0.00035638214,0.0047951853,0.00003341324,0.0003272542,0.0010590317,0.00007329104,0.020658275,0.00030890998],"about_ca_topic_score_codex":0.00066800136,"about_ca_topic_score_gemma":0.000759621,"teacher_disagreement_score":0.5823481,"about_ca_system_score_codex":0.00026812498,"about_ca_system_score_gemma":0.00016374692,"threshold_uncertainty_score":0.9999289},"labels":[],"label_agreement":null},{"id":"W2006893718","doi":"10.1007/s00330-015-3723-2","title":"Magnetic resonance elastography in the detection of hepatorenal syndrome in patients with cirrhosis and ascites","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; NIHR Cambridge Biomedical Research Centre; National Institutes of Health; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research","keywords":"Medicine; Magnetic resonance elastography; Hepatorenal syndrome; Cirrhosis; Renal function; Intraclass correlation; Ascites; Receiver operating characteristic; Magnetic resonance imaging; Radiology; Transient elastography; Population; Elastography; Ultrasound; Internal medicine; Liver fibrosis","score_opus":0.0066809163591242445,"score_gpt":0.1923162823640368,"score_spread":0.18563536600491257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006893718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967648,0.0020530475,0.000056013185,0.00006247767,0.000046316323,0.00014182663,0.0000024716358,0.000011863951,0.0008612056],"genre_scores_gemma":[0.99939734,0.00004322606,0.0003853408,0.00013207861,0.0000147674145,0.0000040125874,0.0000048094203,0.000011742075,0.000006671919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911076,0.00030007286,0.00016521719,0.00016837352,0.00010280122,0.00015278514],"domain_scores_gemma":[0.99965537,0.00006711984,0.000044362383,0.00015187448,0.00003521345,0.000046055648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037906415,0.00008793287,0.0001752034,0.00028277552,0.000015822245,0.0000047036274,0.00006596488,0.0000216485,0.0000020756024],"category_scores_gemma":[0.00006838144,0.00005665194,0.000023674082,0.00044178724,0.00022778849,0.00003437124,0.000011626713,0.00016546005,0.0000028036882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023288256,0.000083579,0.99408567,0.000009614777,0.0000063127645,0.000015152139,0.0006714389,0.0000018596994,0.00024230208,0.0000064703586,0.000021513877,0.004623195],"study_design_scores_gemma":[0.0019614021,0.0022293786,0.9929654,0.00005560739,0.000016739983,0.0002472971,0.00012197664,0.0000072716593,0.0000066029834,0.00002147805,0.0023076884,0.000059168073],"about_ca_topic_score_codex":0.000042123094,"about_ca_topic_score_gemma":0.000024783287,"teacher_disagreement_score":0.004564027,"about_ca_system_score_codex":0.000009320109,"about_ca_system_score_gemma":0.00000972178,"threshold_uncertainty_score":0.2310199},"labels":[],"label_agreement":null},{"id":"W2007412122","doi":"10.1007/s00330-012-2721-x","title":"Accuracy of CT angiography in the diagnosis of acute gastrointestinal bleeding: systematic review and meta-analysis","year":2012,"lang":"en","type":"review","venue":"European Radiology","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Radiology; Neuroradiology; Angiography; Receiver operating characteristic; Interventional radiology; Meta-analysis; Gastrointestinal bleeding; Computed tomography angiography; Diagnostic accuracy; Area under the curve; Surgery; Internal medicine; Neurology","score_opus":0.11835597352298656,"score_gpt":0.35278030670012195,"score_spread":0.2344243331771354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007412122","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":[0.000045401393,0.9968055,0.000008497148,0.00023364667,0.000016369711,0.002396581,0.00012449078,0.000014237912,0.00035526283],"genre_scores_gemma":[0.0034952585,0.99480313,0.0008804822,0.00019076596,0.000035614896,0.00040587835,0.000121432255,0.000046817626,0.000020599991],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9949502,0.0020585693,0.0019054044,0.0004620853,0.0002461146,0.00037762342],"domain_scores_gemma":[0.99455154,0.0024180072,0.0019505913,0.0008320269,0.00011947362,0.00012839025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024747108,0.00057718344,0.009979513,0.00079400156,0.000029791496,0.000010134217,0.00042524043,0.000034248467,0.0001057056],"category_scores_gemma":[0.0006322654,0.00028614647,0.0050899824,0.001394789,0.00023699352,0.00004144544,0.000112872855,0.0003772248,0.000014689715],"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":[0.000006307788,0.00050380646,0.01036018,0.74467146,0.24216822,0.0006114485,0.000060763323,2.388554e-7,2.3082164e-7,0.00012784285,0.0004953372,0.0009941391],"study_design_scores_gemma":[0.00016275024,0.00058110844,0.0012380538,0.056721106,0.93034023,0.008582811,0.00001351277,2.2240418e-7,1.8423198e-7,0.0000015944624,0.002217127,0.00014130847],"about_ca_topic_score_codex":0.000024137718,"about_ca_topic_score_gemma":0.0000017667453,"teacher_disagreement_score":0.688172,"about_ca_system_score_codex":0.000030500743,"about_ca_system_score_gemma":0.00003787827,"threshold_uncertainty_score":0.99995905},"labels":[],"label_agreement":null},{"id":"W2008198057","doi":"10.1007/s00330-003-2076-4","title":"Ultrathin needle (25�G) aspiration lung biopsy: diagnostic accuracy and complication rates","year":2004,"lang":"en","type":"review","venue":"European Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Pneumothorax; Radiology; Pulmonary function testing; Lung; Lung biopsy; Complication; Cytology; Biopsy; Interventional radiology; Fine-needle aspiration; Malignancy; Neuroradiology; DLCO; Histopathology; Surgery; Internal medicine; Lung function; Pathology; Diffusing capacity","score_opus":0.043413355729114984,"score_gpt":0.353366955456044,"score_spread":0.30995359972692904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008198057","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":[0.0003058851,0.9953465,0.000077815195,0.00038726468,0.00029427395,0.0014651488,0.000040800005,0.00010011729,0.0019821967],"genre_scores_gemma":[0.0029993712,0.9942897,0.00025960992,0.0003327302,0.00055564,0.00016483324,0.001176586,0.00008959252,0.00013192379],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979716,0.00046464204,0.00058308226,0.0006171051,0.00009489639,0.00026865565],"domain_scores_gemma":[0.99803674,0.0008914859,0.00037809036,0.00048028855,0.00005602701,0.00015733986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027217955,0.0004162035,0.001237541,0.00015933826,0.000105382314,0.00004281432,0.0001292536,0.00015572763,0.000057440633],"category_scores_gemma":[0.0004606327,0.00030670283,0.00020273142,0.00018541695,0.00012927731,0.00006206341,0.000050148876,0.00031469634,0.00031236533],"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":[0.000014348752,0.00028682573,0.0019805122,0.013948347,0.00065948034,0.00041561166,0.00021066607,0.000003104239,0.000006235186,0.0017697915,0.004490307,0.97621477],"study_design_scores_gemma":[0.0013175099,0.0006030651,0.01157773,0.013007682,0.0027067224,0.0028660074,0.000008229728,0.0000058801106,0.0000031463208,0.000042175652,0.9674725,0.00038935881],"about_ca_topic_score_codex":0.000029186212,"about_ca_topic_score_gemma":0.0000017413341,"teacher_disagreement_score":0.9758254,"about_ca_system_score_codex":0.00040415104,"about_ca_system_score_gemma":0.00020829421,"threshold_uncertainty_score":0.9999385},"labels":[],"label_agreement":null},{"id":"W2010587287","doi":"10.1007/s00330-012-2580-5","title":"CT evaluation of coronary artery stents with iterative image reconstruction: improvements in image quality and potential for radiation dose reduction","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Image quality; Stent; Nuclear medicine; Iterative reconstruction; Radon transform; Image noise; Radiation dose; Radiology; Artery; Angiography; Effective dose (radiation); Surgery; Mathematics; Image (mathematics)","score_opus":0.031006303663667363,"score_gpt":0.3227429907521898,"score_spread":0.29173668708852246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010587287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959142,0.00034176678,0.0012538212,0.00014033698,0.000593886,0.0006792705,0.00002894415,0.00001576894,0.0010320107],"genre_scores_gemma":[0.99634594,0.000034094548,0.002972564,0.00005780437,0.00036484678,0.000022195578,0.00015871374,0.00001612006,0.00002771227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862343,0.0005931522,0.0002995884,0.00019015647,0.00013144033,0.00016224894],"domain_scores_gemma":[0.9993693,0.0000672861,0.00017096236,0.00013885398,0.00019350326,0.00006004455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015134694,0.00009925658,0.00022504455,0.00010802235,0.000037547255,0.0000083324685,0.000020039657,0.000020309115,0.000015484156],"category_scores_gemma":[0.00025981833,0.0000881144,0.000040502022,0.000062932515,0.00014609468,0.00022893639,0.000014078404,0.000089720204,0.000003866057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002601379,0.00048643563,0.4954287,0.00020321572,0.0003278693,0.000044704724,0.0022102734,0.000072451556,0.19175707,0.00008687996,0.0010351131,0.3057459],"study_design_scores_gemma":[0.006141104,0.0003785849,0.98870784,0.000044149016,0.00022155455,0.0016325101,0.00038408674,0.0005314759,0.0017873131,0.000045962206,0.00003211189,0.00009332402],"about_ca_topic_score_codex":0.000009003364,"about_ca_topic_score_gemma":4.5361034e-7,"teacher_disagreement_score":0.49327913,"about_ca_system_score_codex":0.000084063,"about_ca_system_score_gemma":0.000042793625,"threshold_uncertainty_score":0.3593201},"labels":[],"label_agreement":null},{"id":"W2010825998","doi":"10.1007/s00330-015-3666-7","title":"Demonstration of the reproducibility of free-breathing diffusion-weighted MRI and dynamic contrast enhanced MRI in children with solid tumours: a pilot study","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","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":"Institute of Cancer Research","funders":"Imperial Experimental Cancer Medicine Centre; Medical Research Council; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Cancer Research UK; Oak Foundation","keywords":"Reproducibility; Medicine; Neuroradiology; Nuclear medicine; Coefficient of variation; Dynamic contrast-enhanced MRI; Magnetic resonance imaging; Population; Effective diffusion coefficient; Interventional radiology; Radiology; Diffusion MRI; Mathematics; Neurology","score_opus":0.01763327695510952,"score_gpt":0.2673696972014332,"score_spread":0.2497364202463237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010825998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960063,0.00024626046,0.00034929957,0.0010381067,0.00008066804,0.0012644872,0.000013900216,0.000023809189,0.0009771321],"genre_scores_gemma":[0.99920064,0.000088446526,0.00050624716,0.00007411772,0.000060652706,0.000015136456,0.000008896241,0.000023825929,0.000022019807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975911,0.000905367,0.0004833545,0.0006676795,0.00017586847,0.00017666278],"domain_scores_gemma":[0.99809283,0.00011959933,0.00028190645,0.0013039793,0.0001257451,0.00007594732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018093581,0.00015027529,0.00047937682,0.000085966014,0.000023213552,0.000004099302,0.00020633337,0.000026842272,0.000007204853],"category_scores_gemma":[0.00037545353,0.000097006116,0.00002583397,0.00021071137,0.00034557545,0.000045687102,0.00012426528,0.00023086797,0.000001021842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065253477,0.00086088956,0.97802645,0.000019314864,0.00009439736,0.000011559936,0.0025731928,0.00005747061,0.01710341,0.000019034718,0.00019624116,0.0003855242],"study_design_scores_gemma":[0.005452023,0.0041012736,0.98547196,0.00013182493,0.00012250587,0.00017338635,0.0003914326,0.00019895774,0.0038163648,0.000047568697,0.0000036263923,0.0000890942],"about_ca_topic_score_codex":0.00026459797,"about_ca_topic_score_gemma":0.00041320184,"teacher_disagreement_score":0.013287044,"about_ca_system_score_codex":0.00007570479,"about_ca_system_score_gemma":0.00010936025,"threshold_uncertainty_score":0.39557946},"labels":[],"label_agreement":null},{"id":"W2013334584","doi":"10.1007/s00330-004-2421-2","title":"The advantages of MRI in the detection of occult hip fractures","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Medicine; Occult; Radiology; Radiography; Hip fracture; Neuroradiology; Soft tissue; Magnetic resonance imaging; Ultrasound; Osteoporosis","score_opus":0.008780695035507269,"score_gpt":0.2756111683365769,"score_spread":0.2668304733010696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013334584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98778564,0.0017232749,0.0005999888,0.0020729469,0.00014562419,0.00017575426,0.000002257892,0.0000129952905,0.007481537],"genre_scores_gemma":[0.998755,0.0002894709,0.00006389208,0.00067933183,0.00014639937,0.0000017185029,0.0000033223337,0.0000096026,0.000051275627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913687,0.00033028095,0.00022280359,0.00010071842,0.00008317391,0.00012615409],"domain_scores_gemma":[0.99937737,0.00022294155,0.00010257108,0.00025109857,0.000026678033,0.00001931787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051606307,0.000073168274,0.00016144845,0.000051453608,0.000044717195,0.0000024102117,0.00015127305,0.00003765777,0.000010923844],"category_scores_gemma":[0.00020930999,0.000034383247,0.00005807063,0.00009415953,0.00020361712,0.000015649133,0.000015198378,0.00022479637,0.000012134321],"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":[0.0027535527,0.00077296083,0.08913567,0.00023407467,0.00041574426,0.0007640803,0.045847014,0.002806383,0.7259806,0.00561615,0.005817815,0.119855955],"study_design_scores_gemma":[0.0011145986,0.00056621147,0.9258445,0.000028220085,0.00003411038,0.0002454485,0.00078073295,0.0000045004563,0.020216336,0.00039245913,0.05071737,0.000055547796],"about_ca_topic_score_codex":0.000034394398,"about_ca_topic_score_gemma":0.000038089096,"teacher_disagreement_score":0.8367088,"about_ca_system_score_codex":0.000012158668,"about_ca_system_score_gemma":0.000018220218,"threshold_uncertainty_score":0.14021082},"labels":[],"label_agreement":null},{"id":"W2013856803","doi":"10.1007/s00330-014-3175-0","title":"Impact of contrast injection and stent-graft implantation on reproducibility of volume measurements in semiautomated segmentation of abdominal aortic aneurysm on computed tomography","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Montréal; Hôpital Saint-Luc; Centre Hospitalier de l’Université de Montréal; Object Research Systems (Canada); Université de Montréal; Hôpital Notre-Dame","funders":"","keywords":"Medicine; Abdominal aortic aneurysm; Reproducibility; Neuroradiology; Radiology; Interventional radiology; Computed tomography; Ultrasound; Contrast (vision); Nuclear medicine; Volume (thermodynamics); Aortic aneurysm; Segmentation; Aneurysm; Computed tomography angiography; Neurology; Artificial intelligence","score_opus":0.021077424003452454,"score_gpt":0.28698210479920133,"score_spread":0.26590468079574886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013856803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998652,0.000026159703,0.00019644498,0.000015588246,0.00007805609,0.00056694116,0.000015859752,0.00003546673,0.00041348292],"genre_scores_gemma":[0.9995079,0.000005110945,0.0003256201,0.000026784921,0.000022679444,0.0000037210739,0.00007958627,0.00001858952,0.000010004315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752057,0.00088560034,0.00071766885,0.00052072643,0.00019325201,0.00016219862],"domain_scores_gemma":[0.99870354,0.00011058275,0.0004970707,0.00049653713,0.00013026556,0.00006203216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011488352,0.00016242103,0.0005016787,0.00031382137,0.000018596364,0.0000020097675,0.000051036237,0.00005275634,0.000011147966],"category_scores_gemma":[0.0003796523,0.00013495966,0.0000979478,0.00022168897,0.00015837578,0.000036595513,0.000016498589,0.0001062515,0.0000028828488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018835634,0.0005605473,0.8548732,0.000112884234,0.00015570752,0.00001807964,0.0003404535,0.0004703289,0.13563766,0.0000033712843,0.000038887396,0.0059053455],"study_design_scores_gemma":[0.0037324766,0.007657115,0.9755437,0.00012153084,0.00012282253,0.00028782687,0.0000340019,0.0024470198,0.009972899,0.000008350492,3.6078544e-7,0.00007191256],"about_ca_topic_score_codex":0.00013051648,"about_ca_topic_score_gemma":0.0000051020047,"teacher_disagreement_score":0.12566476,"about_ca_system_score_codex":0.00008879414,"about_ca_system_score_gemma":0.000028550206,"threshold_uncertainty_score":0.5503495},"labels":[],"label_agreement":null},{"id":"W2013898299","doi":"10.1007/s00330-014-3147-4","title":"Diagnostic accuracy of segmental enhancement inversion for diagnosis of renal oncocytoma at biphasic contrast enhanced CT: systematic review","year":2014,"lang":"en","type":"review","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"Center for Clinical and Translational Research","keywords":"Medicine; Neuroradiology; Radiology; Diagnostic accuracy; Forest plot; Renal oncocytoma; Clinical Practice; Interventional radiology; Contrast (vision); Oncocytoma; Meta-analysis; Medical physics; Nuclear medicine; Pathology; Neurology; Artificial intelligence; Renal cell carcinoma; Computer science","score_opus":0.040329084744022595,"score_gpt":0.3195538898834769,"score_spread":0.2792248051394543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013898299","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":[0.002020388,0.98520267,0.000215351,0.000029855995,0.00031604548,0.011097865,0.00015319645,0.000031595242,0.0009330366],"genre_scores_gemma":[0.008007408,0.9883501,0.00020639719,0.00022435922,0.00020178361,0.0014596953,0.0010474877,0.00013569319,0.00036708036],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99344367,0.002091155,0.0028451332,0.0007768902,0.00036600028,0.00047715078],"domain_scores_gemma":[0.98911726,0.0061768414,0.0031668996,0.001119255,0.00018554376,0.00023422315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012635294,0.0007670615,0.0076363636,0.0002684502,0.00006361359,0.0000048481807,0.00044842588,0.000117866344,0.00021218711],"category_scores_gemma":[0.0035611168,0.0005318618,0.0015271929,0.00023934165,0.00024157262,0.000035345547,0.00022051971,0.00024605257,0.00023785511],"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":[0.0000785265,0.00023012012,0.000033846045,0.9570494,0.0013871584,0.0002507807,0.00004147524,2.7370558e-7,0.00020733167,0.000014897636,0.0041515236,0.03655462],"study_design_scores_gemma":[0.0027298266,0.0040033287,0.00003877909,0.88532555,0.022465628,0.0012814937,0.0000085969195,0.0000023900257,0.0045330413,0.0000014978818,0.07913211,0.0004777606],"about_ca_topic_score_codex":0.00000467178,"about_ca_topic_score_gemma":0.0000013482667,"teacher_disagreement_score":0.07498059,"about_ca_system_score_codex":0.0007796506,"about_ca_system_score_gemma":0.00019625627,"threshold_uncertainty_score":0.9997133},"labels":[],"label_agreement":null},{"id":"W2014178935","doi":"10.1007/s00330-014-3150-9","title":"Prostatic ductal adenocarcinoma: an aggressive tumour variant unrecognized on T2 weighted magnetic resonance imaging (MRI)","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Prostatectomy; Magnetic resonance imaging; Histopathology; Adenocarcinoma; Carcinoma; Occult; Neuroradiology; Urology; Prostate; Radiology; Pathology; Cancer; Internal medicine; Neurology","score_opus":0.010675021948738367,"score_gpt":0.2404021104982272,"score_spread":0.22972708854948884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014178935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96606743,0.0154345,0.0001667518,0.0027739098,0.0006655238,0.0009935793,0.00004986291,0.00020545724,0.013642989],"genre_scores_gemma":[0.99385333,0.00049547915,0.0016429669,0.0025283087,0.0006238254,0.00006896337,0.00016625854,0.000097758166,0.0005230821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724644,0.0008727609,0.00039901593,0.00076937256,0.00016905535,0.0005433356],"domain_scores_gemma":[0.99864656,0.00018355329,0.00022960929,0.00054885086,0.00009800731,0.00029343125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040232696,0.0003320439,0.0005231633,0.00014305841,0.00013305242,0.000029995226,0.00017657889,0.00004085731,0.0002210131],"category_scores_gemma":[0.00019768845,0.00025988265,0.00009372644,0.00014783886,0.00020477448,0.00007425184,0.00005957923,0.0002832771,0.00047464168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060233464,0.0035301698,0.4757807,0.0003294361,0.00037754612,0.07329611,0.005610203,0.000035425754,0.011371261,0.007974363,0.038920876,0.37675056],"study_design_scores_gemma":[0.0097435685,0.006134633,0.96007717,0.00041444958,0.00028418278,0.0046897144,0.00008648468,0.0019195192,0.0010481556,0.00048923126,0.014660546,0.00045235106],"about_ca_topic_score_codex":0.000017916504,"about_ca_topic_score_gemma":0.000003193802,"teacher_disagreement_score":0.48429647,"about_ca_system_score_codex":0.00013798305,"about_ca_system_score_gemma":0.000077546894,"threshold_uncertainty_score":0.99998534},"labels":[],"label_agreement":null},{"id":"W2014565774","doi":"10.1007/s00330-014-3479-0","title":"Multivariate modelling of prostate cancer combining magnetic resonance derived T2, diffusion, dynamic contrast-enhanced and spectroscopic parameters","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research; Ottawa Hospital; University of Ottawa","funders":"Health Canada; National Institutes of Health; National Institute for Health and Care Research; Cancer Research UK","keywords":"Receiver operating characteristic; Medicine; Prostate cancer; Nuclear medicine; Effective diffusion coefficient; Voxel; Neuroradiology; Prostate; Prostatectomy; Magnetic resonance imaging; Dynamic contrast-enhanced MRI; In vivo magnetic resonance spectroscopy; Linear discriminant analysis; Diffusion MRI; Radiology; Cancer; Mathematics; Statistics; Internal medicine; Neurology","score_opus":0.02815014655230248,"score_gpt":0.2682621589843074,"score_spread":0.24011201243200492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014565774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755321,0.021129072,0.0015050157,0.00037371615,0.00022257255,0.00058693235,0.000023771865,0.00004530615,0.0005814868],"genre_scores_gemma":[0.99058235,0.005365754,0.0033982152,0.00024459054,0.000029621833,0.000049701182,0.000023610331,0.000041096264,0.00026504937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99864316,0.0001751269,0.00035128783,0.00039783752,0.00010279533,0.00032979695],"domain_scores_gemma":[0.9992391,0.00008615608,0.00015278603,0.0002317964,0.000099468976,0.0001906932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019181243,0.000201635,0.00049279636,0.00006732499,0.00005055467,0.000009739679,0.000070959075,0.00003920219,0.000015737905],"category_scores_gemma":[0.000047906076,0.0001653784,0.00004306545,0.00009638057,0.00022323806,0.000041266518,0.000054754848,0.00014786923,0.000008567524],"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":[0.007301324,0.0015564697,0.37213856,0.0006071377,0.00074232795,0.0014208041,0.026711848,0.014212754,0.39423564,0.0008678614,0.0007536328,0.17945163],"study_design_scores_gemma":[0.04442649,0.009881786,0.8124107,0.0016961627,0.0006574807,0.00022411306,0.0009067125,0.08705149,0.03892204,0.0012834658,0.0016095716,0.0009299812],"about_ca_topic_score_codex":0.00014732762,"about_ca_topic_score_gemma":0.000011655781,"teacher_disagreement_score":0.44027215,"about_ca_system_score_codex":0.00012054312,"about_ca_system_score_gemma":0.00006971994,"threshold_uncertainty_score":0.67439353},"labels":[],"label_agreement":null},{"id":"W2014768746","doi":"10.1007/s00330-004-2432-z","title":"Initial experience with FSE STIR whole-body MR imaging for staging lymphoma in children","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":false,"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; Neuroradiology; Radiology; Bone marrow; Whole body imaging; Lymphoma; Biopsy; Scintigraphy; Stage (stratigraphy); Nuclear medicine; Bone scintigraphy; Magnetic resonance imaging; Pathology","score_opus":0.011317666665179318,"score_gpt":0.27053606277901265,"score_spread":0.25921839611383335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014768746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954421,0.00034930703,0.0005396507,0.00085418613,0.000106458,0.0005351071,0.000016010265,0.00007237871,0.0020848175],"genre_scores_gemma":[0.9971193,0.000025061008,0.0012532998,0.001051432,0.00029380023,0.00006846972,0.00009598704,0.00004282014,0.00004983406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988032,0.00008860347,0.0002417337,0.00040356812,0.000090232184,0.0003726903],"domain_scores_gemma":[0.9994676,0.000051788713,0.00006869421,0.00026372867,0.00003383886,0.000114328315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014359222,0.00018859976,0.0002890664,0.00012558138,0.00007974492,0.000018031056,0.00010640711,0.000023644352,0.000014540097],"category_scores_gemma":[0.00004681113,0.0001432581,0.000055952274,0.00011357664,0.00015259872,0.000081702114,0.000041615243,0.000055042536,0.000047028087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044998474,0.0005604908,0.9770449,0.000013270916,0.00009154092,0.0017615749,0.0020119762,0.00012696665,0.0014664525,0.0007629306,0.00022600596,0.015483913],"study_design_scores_gemma":[0.016908038,0.00064332824,0.9757224,0.000114819944,0.000049995146,0.0019239334,0.00023107954,0.000033622462,0.002448512,0.000035495643,0.0017052988,0.00018347905],"about_ca_topic_score_codex":0.000083210485,"about_ca_topic_score_gemma":0.0000050870253,"teacher_disagreement_score":0.016458053,"about_ca_system_score_codex":0.00023204669,"about_ca_system_score_gemma":0.00010506458,"threshold_uncertainty_score":0.5841896},"labels":[],"label_agreement":null},{"id":"W2015493988","doi":"10.1007/s00330-014-3421-5","title":"Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Neuroradiology; Elaboration; Arteriovenous malformation; Medicine; Interventional radiology; Segmentation; Radiology; Algorithm; Artificial intelligence; Computer science; Neurology","score_opus":0.013934270699073643,"score_gpt":0.28597924114889717,"score_spread":0.2720449704498235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015493988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60171735,0.00014631629,0.38113984,0.003035217,0.00046752417,0.0018314312,0.0003004729,0.0004291855,0.01093265],"genre_scores_gemma":[0.9692236,0.000026036607,0.027161613,0.00078674883,0.00024721294,0.000050899973,0.00241776,0.000022577105,0.00006355832],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988838,0.00026466727,0.00047341923,0.00014908217,0.00009072752,0.0001383123],"domain_scores_gemma":[0.9992563,0.00012106293,0.00021749109,0.00020411311,0.00015192853,0.000049100705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060180377,0.00010545434,0.00023126602,0.00011673555,0.000069565416,0.000010665147,0.00004485593,0.000044432905,0.000014804913],"category_scores_gemma":[0.00018326685,0.00009162051,0.00008031741,0.000114223105,0.00004108432,0.00011114061,0.0000122865895,0.0000475056,0.000044977347],"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":[0.0011194659,0.001755826,0.0012255716,0.00046499234,0.0011302667,0.00007368693,0.008756606,0.003112348,0.014454238,0.0033935942,0.054504026,0.9100094],"study_design_scores_gemma":[0.039628886,0.011777076,0.13615797,0.00027491542,0.0006484026,0.0014652811,0.00068180676,0.7224078,0.019552896,0.00015096695,0.06664679,0.0006071848],"about_ca_topic_score_codex":0.0000036270499,"about_ca_topic_score_gemma":0.0000014038594,"teacher_disagreement_score":0.9094022,"about_ca_system_score_codex":0.00004643336,"about_ca_system_score_gemma":0.000029251498,"threshold_uncertainty_score":0.3736176},"labels":[],"label_agreement":null},{"id":"W2016413698","doi":"10.1007/s00330-014-3501-6","title":"Dual bolus intravenous contrast injection technique for multiregion paediatric body CT","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Neuroradiology; Bolus (digestion); Radiology; Interventional radiology; Image quality; Abdomen; Pelvis; Contrast medium; Nuclear medicine; Ultrasound; Surgery","score_opus":0.010066793815029023,"score_gpt":0.24527510823454404,"score_spread":0.235208314419515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016413698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52376974,0.0008299996,0.41624868,0.0029696464,0.0020329815,0.0029262842,0.000019193982,0.00070521113,0.050498266],"genre_scores_gemma":[0.99515384,0.000049628903,0.0011099721,0.0012876191,0.0016965554,0.000035958914,0.000075743206,0.000047926933,0.0005427531],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987449,0.00032001676,0.00027722723,0.0002826552,0.00006578037,0.00030942628],"domain_scores_gemma":[0.99935627,0.00015421987,0.00011652552,0.00021790159,0.000052601255,0.0001024553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007258629,0.00013808518,0.0002684081,0.0001904833,0.00011338351,0.000013901485,0.00006893843,0.000039762526,0.00002060178],"category_scores_gemma":[0.0005015001,0.00012568476,0.00008843679,0.000119559954,0.0000676653,0.00005543429,0.000020779251,0.0001883674,0.00007973435],"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":[0.0013051865,0.0007123185,0.046417654,0.0003168573,0.00038312466,0.00061315275,0.0015433946,0.00029933537,0.30868453,0.0061100237,0.1297735,0.5038409],"study_design_scores_gemma":[0.013926762,0.006179615,0.31064194,0.00009802608,0.00047223901,0.01729354,0.00021548285,0.021765776,0.019353012,0.00038806855,0.60869026,0.0009752416],"about_ca_topic_score_codex":0.000013701855,"about_ca_topic_score_gemma":8.8678e-7,"teacher_disagreement_score":0.5028657,"about_ca_system_score_codex":0.000057675807,"about_ca_system_score_gemma":0.000033196815,"threshold_uncertainty_score":0.5125276},"labels":[],"label_agreement":null},{"id":"W2019873738","doi":"10.1007/s00330-011-2110-x","title":"Magnetic resonance angiography of the carotid arteries: comparison of unenhanced and contrast enhanced techniques","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Magnetic resonance angiography; Radiology; Neuroradiology; Steady-state free precession imaging; Magnetic resonance imaging; Nuclear medicine; Contrast (vision); Angiography; Interventional radiology; Neurology","score_opus":0.012748365613733981,"score_gpt":0.22924205782412618,"score_spread":0.2164936922103922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019873738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97695744,0.0039357506,0.00016812014,0.000024347579,0.00007231029,0.00038221673,0.000015720478,0.00003928465,0.018404838],"genre_scores_gemma":[0.99916476,0.00019293882,0.00042577932,0.000088574096,0.000038739327,0.000008549368,0.0000041023163,0.000016690406,0.000059850994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902666,0.00024138308,0.0003113933,0.00018984509,0.00008381457,0.00014692797],"domain_scores_gemma":[0.9993512,0.00003070329,0.00012370612,0.00037113333,0.00006732743,0.000055912973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012632919,0.000116387564,0.00038695263,0.00006842857,0.000030944786,0.0000017209684,0.00012497611,0.00003161391,0.000073967065],"category_scores_gemma":[0.000039093004,0.000081593775,0.0002235495,0.00013876102,0.00061879744,0.000020770774,0.0000470947,0.00008447642,0.000002100961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002677875,0.000312424,0.62475914,0.00013963893,0.00013036327,0.000003882183,0.004257983,1.8373241e-7,0.34785506,0.0006530143,0.00074679137,0.02087371],"study_design_scores_gemma":[0.0005674806,0.0007249247,0.7779568,0.0000971341,0.00010709795,0.000037208083,0.000298167,0.000001148357,0.21914074,0.000025330053,0.0009744245,0.000069570335],"about_ca_topic_score_codex":0.000013453327,"about_ca_topic_score_gemma":0.000005683826,"teacher_disagreement_score":0.1531976,"about_ca_system_score_codex":0.0000042735824,"about_ca_system_score_gemma":0.00001729911,"threshold_uncertainty_score":0.33272976},"labels":[],"label_agreement":null},{"id":"W2020932463","doi":"10.1007/s00330-007-0843-3","title":"Diffusion-weighted MRI in cervical cancer","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":235,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Cervix; Effective diffusion coefficient; Cervical cancer; Stage (stratigraphy); Diffusion MRI; Radiology; Nuclear medicine; Neuroradiology; Percentile; Cancer; Magnetic resonance imaging; Internal medicine; Neurology","score_opus":0.02632931243552148,"score_gpt":0.28051141138957253,"score_spread":0.25418209895405103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020932463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94278795,0.0013127612,0.000060250233,0.010923306,0.00051356363,0.00022292839,0.000007214099,0.000095773794,0.04407625],"genre_scores_gemma":[0.9831726,0.008704129,0.0006897296,0.0048992867,0.0008505281,0.000030097004,0.000020689331,0.00005240432,0.0015805658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862915,0.0002905413,0.0002843318,0.00035091155,0.00011800682,0.00032703963],"domain_scores_gemma":[0.9993137,0.00012039865,0.000051614166,0.00033032367,0.00003507442,0.00014888086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015576156,0.00014239563,0.00034071086,0.00014113878,0.000050137973,0.0000021603248,0.00014850406,0.000068780886,0.002099914],"category_scores_gemma":[0.00003302561,0.00011993369,0.00006541344,0.00023134364,0.00018231824,0.000025379115,0.00007387951,0.00031373708,0.00046416846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015037677,0.00016367123,0.83892184,0.000024394745,0.000032566637,0.0020554715,0.0006730767,0.000015812018,0.0011905166,0.00013517207,0.1547446,0.0018924904],"study_design_scores_gemma":[0.0018853751,0.00015250154,0.80549407,0.000051190542,0.000017666824,0.00045963522,0.00001327939,0.00013890381,0.00014907299,0.000017951854,0.19150051,0.000119860946],"about_ca_topic_score_codex":0.00016453897,"about_ca_topic_score_gemma":0.000067311055,"teacher_disagreement_score":0.042495683,"about_ca_system_score_codex":0.00014306775,"about_ca_system_score_gemma":0.000079745216,"threshold_uncertainty_score":0.9988123},"labels":[],"label_agreement":null},{"id":"W2023675122","doi":"10.1007/s00330-004-2294-4","title":"Percutaneous coil placement prior to radiofrequency ablation of poorly visible hepatic tumors","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Radiofrequency ablation; Ablation; Radiology; Percutaneous; Interventional radiology; Ultrasound; Radiofrequency coil; Electromagnetic coil; Neuroradiology; Biomedical engineering; Magnetic resonance imaging","score_opus":0.02985352459569289,"score_gpt":0.24306961497387647,"score_spread":0.21321609037818356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023675122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859812,0.0006891193,0.0005818886,0.0007896044,0.00012593766,0.00067401154,0.000008973026,0.000078562916,0.011070659],"genre_scores_gemma":[0.99448174,0.00007153761,0.0042752163,0.00046586434,0.00013799404,0.000008619055,0.00006712354,0.000044822827,0.00044708894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985688,0.0002197888,0.00042313637,0.00032392258,0.00016190382,0.00030245283],"domain_scores_gemma":[0.999236,0.000051516705,0.000104319595,0.00033444678,0.00007253538,0.00020117451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000309748,0.00019155323,0.00040990362,0.00018919374,0.00006283766,0.0000074474024,0.00011319,0.000047729398,0.00019538648],"category_scores_gemma":[0.00010498359,0.00016634441,0.00011714486,0.00020991283,0.000073461,0.000035438206,0.000032060445,0.00011801661,0.000439031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014905672,0.0010247272,0.64875305,0.00040558644,0.00061118155,0.014080377,0.008946786,0.0009341409,0.28205582,0.0018972897,0.0012744628,0.038526032],"study_design_scores_gemma":[0.024463002,0.043218646,0.7478172,0.001616595,0.0021952346,0.03787495,0.0012742797,0.0018073773,0.10892504,0.00085464213,0.027515572,0.0024374523],"about_ca_topic_score_codex":0.000099712786,"about_ca_topic_score_gemma":0.000006059525,"teacher_disagreement_score":0.1731308,"about_ca_system_score_codex":0.00021040322,"about_ca_system_score_gemma":0.0001158132,"threshold_uncertainty_score":0.6783328},"labels":[],"label_agreement":null},{"id":"W2025131562","doi":"10.1007/s00330-014-3250-6","title":"T1-mapping for assessment of ischemia-induced acute kidney injury and prediction of chronic kidney disease in mice","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Medizinischen Hochschule Hannover","keywords":"Medicine; Acute kidney injury; Kidney disease; Kidney; Ischemia; Renal ischemia; Urology; Medulla; Nephrology; Internal medicine; Neuroradiology; Edema; Pathology; Cardiology; Reperfusion injury; Neurology","score_opus":0.02332963130224243,"score_gpt":0.3032593119439682,"score_spread":0.2799296806417258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025131562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898754,0.00015051827,0.002210627,0.0026991032,0.0004133786,0.0006865882,0.00030209115,0.000034650617,0.003627696],"genre_scores_gemma":[0.9966866,0.00039397625,0.0014232796,0.00085007737,0.0003679805,0.000041972005,0.00014250395,0.000031740463,0.000061868865],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998762,0.0002380129,0.0004063203,0.0003048652,0.00008720252,0.00020161539],"domain_scores_gemma":[0.9990702,0.00012926008,0.0001919631,0.00027114106,0.00006247491,0.0002749455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059757265,0.00012709289,0.00038596976,0.00015965733,0.00002057042,0.0000024470216,0.00009790477,0.000052957686,0.000038783382],"category_scores_gemma":[0.0004396954,0.00012160504,0.00006228653,0.00011607656,0.00010160085,0.000043134096,0.000058640508,0.00015383084,0.0000019604606],"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":[0.0003776594,0.00020754406,0.2212097,0.0012568276,0.0002304155,0.000015930089,0.00025283397,0.000012241983,0.71025616,0.00032668666,0.061963107,0.003890865],"study_design_scores_gemma":[0.009382143,0.0035318867,0.84040076,0.0013956042,0.0005559024,0.000044833054,0.000025878033,0.010780391,0.036370844,0.00008141806,0.097147524,0.0002828041],"about_ca_topic_score_codex":0.000013874566,"about_ca_topic_score_gemma":6.060634e-7,"teacher_disagreement_score":0.67388535,"about_ca_system_score_codex":0.00013142294,"about_ca_system_score_gemma":0.00029894037,"threshold_uncertainty_score":0.49589095},"labels":[],"label_agreement":null},{"id":"W2025773047","doi":"10.1007/s00330-007-0711-1","title":"Bone marrow edema-like lesions change in volume in the majority of patients with osteoarthritis; associations with clinical features","year":2007,"lang":"en","type":"article","venue":"European Radiology","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":138,"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":"Pfizer","keywords":"Medicine; Osteoarthritis; WOMAC; Magnetic resonance imaging; Edema; Bone marrow; Neuroradiology; Radiology; Internal medicine; Surgery; Pathology","score_opus":0.02366578387469925,"score_gpt":0.28139970133724324,"score_spread":0.257733917462544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025773047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935964,0.0004765882,0.000013627059,0.00052974623,0.00018104566,0.0008878461,0.000045646015,0.000023923076,0.0042452067],"genre_scores_gemma":[0.9977063,0.000043328168,0.0006982708,0.00075446017,0.00020137426,0.00001850107,0.00023239767,0.00002809792,0.0003172683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981231,0.00059586385,0.00044641254,0.000282652,0.000200751,0.00035120884],"domain_scores_gemma":[0.9991433,0.00022490388,0.00017598848,0.00029732139,0.0000740986,0.00008437184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012367811,0.00016026094,0.00044560595,0.00016000311,0.00005625192,0.00000576309,0.00011108322,0.00010274256,0.00002873028],"category_scores_gemma":[0.000118356766,0.00010188231,0.000063612846,0.00027916778,0.00016840344,0.000060552517,0.00003128739,0.00038725245,0.000021468237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065985345,0.0005841056,0.9720242,0.0000079307265,0.000018543858,0.00078844157,0.00083092786,2.825667e-7,0.00004140073,0.00022403817,0.00034314074,0.024477141],"study_design_scores_gemma":[0.008865234,0.0058164806,0.98337555,0.000105367944,0.0000542305,0.000099254576,0.00019445164,4.5256107e-7,0.000015245589,0.000014846405,0.0013537782,0.000105109575],"about_ca_topic_score_codex":0.000049859624,"about_ca_topic_score_gemma":0.00273321,"teacher_disagreement_score":0.024372032,"about_ca_system_score_codex":0.000046329464,"about_ca_system_score_gemma":0.00003671407,"threshold_uncertainty_score":0.415464},"labels":[],"label_agreement":null},{"id":"W2028043255","doi":"10.1007/s00330-006-0274-6","title":"Preoperative volume calculation of the hepatic venous draining areas with multi-detector row CT in adult living donor liver transplantation: impact on surgical procedure","year":2006,"lang":"en","type":"article","venue":"European Radiology","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Liver transplantation; Interventional radiology; Transplantation; Tributary; Radiology; Perfusion; Surgery; Nuclear medicine","score_opus":0.00827082720546541,"score_gpt":0.24291728176579766,"score_spread":0.23464645456033226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028043255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748087,0.00006191848,0.0007812691,0.00012701238,0.000032219843,0.0005265024,0.000018581411,0.000060237508,0.00091137696],"genre_scores_gemma":[0.99884987,0.00007097745,0.0005392918,0.00010802413,0.00008770599,0.000009764373,0.000039259878,0.000032424537,0.00026268017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987725,0.00038458293,0.00030474045,0.00022740332,0.00012410832,0.00018666741],"domain_scores_gemma":[0.99947983,0.00014435056,0.00012008511,0.00015435995,0.000060795086,0.000040596587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018952461,0.00016951971,0.0002980869,0.000095564974,0.000058421094,0.000007714569,0.00008197207,0.000038990944,0.00005398665],"category_scores_gemma":[0.00003837379,0.000098537486,0.00008650063,0.00017007517,0.00009921033,0.000050275725,0.0000059611616,0.00022215882,0.0000084329495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063056726,0.00023767812,0.9898387,0.00031129146,0.000044766206,0.0011709202,0.004585233,0.0022286358,0.0005889568,0.00006588953,0.000031720592,0.0002656107],"study_design_scores_gemma":[0.0015885911,0.0009272198,0.99068695,0.00043953274,0.00008644982,0.0017168885,0.000054585387,0.0023828952,0.001985894,0.0000012231517,0.0000123095315,0.00011744965],"about_ca_topic_score_codex":0.00020357325,"about_ca_topic_score_gemma":0.00020300059,"teacher_disagreement_score":0.004530648,"about_ca_system_score_codex":0.00007035249,"about_ca_system_score_gemma":0.00006442223,"threshold_uncertainty_score":0.4018242},"labels":[],"label_agreement":null},{"id":"W2031629238","doi":"10.1007/s00330-010-1761-3","title":"3D 23Na MRI of human skeletal muscle at 7 Tesla: initial experience","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Radiological Society of North America","keywords":"Medicine; Magnetic resonance imaging; Skeletal muscle; Neuroradiology; Calf muscle; Sodium; Nuclear medicine; Neurology; Internal medicine; Chemistry; Radiology","score_opus":0.0218648079801103,"score_gpt":0.33996753462316426,"score_spread":0.31810272664305395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031629238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145219,0.0000419373,0.0057347077,0.00020507026,0.00010217589,0.00020694849,0.000008622484,0.00013346932,0.079045214],"genre_scores_gemma":[0.9808063,0.000019745929,0.017245648,0.000293332,0.00033679878,0.000017444123,0.00003396819,0.00002688623,0.0012198883],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926156,0.000044998586,0.000228978,0.00022879764,0.000059656344,0.00017601941],"domain_scores_gemma":[0.999337,0.000033571898,0.000091720416,0.00041255634,0.000042854004,0.00008229334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110758716,0.000097089614,0.00019293869,0.00004580186,0.000090424786,0.0000018093755,0.00014562462,0.000049802362,0.0005023328],"category_scores_gemma":[0.000048234317,0.00008538838,0.000056060453,0.00007440537,0.0004012739,0.000027622369,0.00009977312,0.00023445277,0.00007690763],"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":[0.00001241874,0.00008742298,0.0011613172,0.000008399481,0.0000048300344,0.000060958653,0.00043813643,0.0000024188025,0.98075396,0.005744689,0.0033629283,0.008362545],"study_design_scores_gemma":[0.0018092358,0.001403954,0.15900391,0.000035549096,0.00005653829,0.0012619518,0.00016483826,0.00011029948,0.09305371,0.00055473746,0.74212676,0.00041851462],"about_ca_topic_score_codex":0.0000046415093,"about_ca_topic_score_gemma":0.0000037989112,"teacher_disagreement_score":0.8877002,"about_ca_system_score_codex":0.000013730917,"about_ca_system_score_gemma":0.0000114844925,"threshold_uncertainty_score":0.5500192},"labels":[],"label_agreement":null},{"id":"W2031889903","doi":"10.1007/s00330-012-2478-2","title":"Suppression of myocardial 18F-FDG uptake with a preparatory “Atkins-style” low-carbohydrate diet","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"","keywords":"Medicine; Nuclear medicine; Positron emission tomography; Neuroradiology; Carbohydrate; Cardiac PET; Interventional radiology; Carbohydrate metabolism; Malignancy; Standardized uptake value; Internal medicine; Radiology; Neurology","score_opus":0.016813030049744368,"score_gpt":0.2766848447999729,"score_spread":0.2598718147502285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031889903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96298534,0.00030832115,0.0014949688,0.0007050519,0.00016470096,0.000394563,0.000013898962,0.00019799225,0.033735152],"genre_scores_gemma":[0.9922434,0.00007037039,0.006066074,0.00074582844,0.0005298585,0.000026782556,0.000050709117,0.0000353126,0.00023162874],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876267,0.00023136949,0.0003015283,0.00023511371,0.00014405332,0.00032526022],"domain_scores_gemma":[0.998968,0.00005867906,0.00012920526,0.0005318309,0.000053511652,0.0002587682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047376033,0.00014953535,0.00034214463,0.00006962308,0.000048190843,0.000003761846,0.00014775721,0.00004877876,0.000120848264],"category_scores_gemma":[0.00009124909,0.0001047555,0.000079608915,0.00013162971,0.00030428087,0.000050129678,0.0000787231,0.00024811566,0.00008511688],"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":[0.0021187505,0.0014399387,0.06777138,0.0003311958,0.00047557364,0.0003352767,0.0020578755,0.000012577969,0.6264046,0.006091425,0.28473282,0.00822862],"study_design_scores_gemma":[0.003023241,0.0020532578,0.3096638,0.00040961115,0.00039812454,0.0006462816,0.0000905547,0.00045792965,0.015133974,0.00006298685,0.6675619,0.0004983435],"about_ca_topic_score_codex":0.0000055614864,"about_ca_topic_score_gemma":2.235876e-7,"teacher_disagreement_score":0.6112706,"about_ca_system_score_codex":0.000021110733,"about_ca_system_score_gemma":0.00004127407,"threshold_uncertainty_score":0.42718053},"labels":[],"label_agreement":null},{"id":"W2035460647","doi":"10.1007/s00330-014-3264-0","title":"Pulmonary nodules and masses in lung transplant recipients: clinical and CT findings","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Medicine; Lung; Malignancy; Pneumonia; Neuroradiology; Aspergillosis; Bacterial pneumonia; Lymphoproliferative disorders; Etiology; Differential diagnosis; Radiology; Lung transplantation; Pathology; Internal medicine; Lymphoma; Immunology","score_opus":0.015747360927987883,"score_gpt":0.27778437856895577,"score_spread":0.2620370176409679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035460647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97877586,0.0013561546,0.000034205634,0.00070466043,0.00017641245,0.00010152616,0.0000049941327,0.000028297412,0.018817864],"genre_scores_gemma":[0.9958454,0.0027194214,0.00011335182,0.0009696222,0.00011598259,0.000001835588,0.000020143942,0.000019379771,0.00019488898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988204,0.00036547417,0.00026781944,0.00029278672,0.00004841573,0.00020509899],"domain_scores_gemma":[0.9996133,0.0001291182,0.000040967796,0.00011045177,0.0000092647515,0.00009690937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006677449,0.000104974875,0.00030149415,0.000071069786,0.000038574148,0.000007112855,0.000049101338,0.000044486576,0.000027161475],"category_scores_gemma":[0.00016003111,0.00008791416,0.00003588397,0.000058624148,0.00019048822,0.000033768745,0.000022997132,0.00021937721,0.000010354748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018599395,0.000053170985,0.98289907,0.000026204882,0.000024276498,0.00030849414,0.00015901505,0.0000011260202,0.00020020535,0.00017166816,0.0013246331,0.014646168],"study_design_scores_gemma":[0.0023979961,0.00036079454,0.99018425,0.000081619255,0.000042574873,0.00046861116,0.000052701176,0.0003348455,0.0000057430425,0.00007561956,0.0058916113,0.00010366384],"about_ca_topic_score_codex":0.000018125085,"about_ca_topic_score_gemma":0.000008854402,"teacher_disagreement_score":0.018622976,"about_ca_system_score_codex":0.00001529268,"about_ca_system_score_gemma":0.000009382366,"threshold_uncertainty_score":0.35850355},"labels":[],"label_agreement":null},{"id":"W2035594246","doi":"10.1007/s00330-011-2211-6","title":"Acute exacerbation of idiopathic pulmonary fibrosis: high-resolution CT scores predict mortality","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Neuroradiology; Exacerbation; Interventional radiology; Idiopathic pulmonary fibrosis; Radiology; Pulmonary fibrosis; Ultrasound; Fibrosis; Internal medicine; Lung; Neurology","score_opus":0.02386746149074382,"score_gpt":0.24493596809271054,"score_spread":0.22106850660196672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035594246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756913,0.0018678559,0.0008115939,0.0000762209,0.0005963105,0.0003716398,0.00013375437,0.00015135256,0.02029995],"genre_scores_gemma":[0.9981139,0.00031310978,0.00041137106,0.00014210706,0.0005219292,0.000013609134,0.00019881944,0.00004744622,0.00023774788],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792266,0.0005122502,0.00058500905,0.00043310467,0.00021143375,0.00033552793],"domain_scores_gemma":[0.99890226,0.000021425069,0.00025669063,0.0005256719,0.000110581386,0.00018336375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996979,0.00023022226,0.0004831298,0.00014444104,0.00008521644,0.00000542617,0.00020215097,0.000069424896,0.00022526323],"category_scores_gemma":[0.00007278579,0.00020271952,0.00022869316,0.0001432556,0.0003363626,0.00014103348,0.00010088993,0.0002346043,0.000097561875],"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":[0.044695806,0.004000207,0.38690057,0.0029088834,0.0033004582,0.014435114,0.002606689,0.000108281514,0.4888453,0.02519847,0.012439101,0.014561117],"study_design_scores_gemma":[0.0009707907,0.0053782216,0.9856732,0.0005274624,0.00082853966,0.0013111443,0.00006420937,0.0008439754,0.0032964407,0.00046809745,0.0003708502,0.00026708792],"about_ca_topic_score_codex":0.00014644027,"about_ca_topic_score_gemma":0.0000014646212,"teacher_disagreement_score":0.5987726,"about_ca_system_score_codex":0.0000652102,"about_ca_system_score_gemma":0.00008039783,"threshold_uncertainty_score":0.8266662},"labels":[],"label_agreement":null},{"id":"W2036976484","doi":"10.1007/s00330-011-2261-9","title":"Radiology of advanced EVAR techniques in complex abdominal aortic aneurysms","year":2011,"lang":"en","type":"review","venue":"European Radiology","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Radiology; Interventional radiology; Troubleshooting; Endovascular aneurysm repair; Neuroradiology; Aortography; Fluoroscopy; Aortic aneurysm; Abdominal aortic aneurysm; Surgery; Aneurysm; Aorta; Computer science","score_opus":0.0616426410196349,"score_gpt":0.3437717736177907,"score_spread":0.2821291325981558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036976484","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":[0.001981299,0.97416407,0.000066155786,0.000018204535,0.00021274612,0.0019783315,0.000032822954,0.00021389296,0.021332487],"genre_scores_gemma":[0.0030260892,0.989756,0.0055930484,0.00014149754,0.00022057926,0.00009567397,0.00036264776,0.00020448313,0.00060000457],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99417084,0.0021723378,0.0019270205,0.0009329109,0.00013366686,0.0006632],"domain_scores_gemma":[0.9975632,0.0002984527,0.0007358257,0.0011344262,0.00007133124,0.00019675751],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007149951,0.00072960055,0.0042396295,0.0006296049,0.000034213364,0.0000027023318,0.00050827046,0.00038178693,0.00038327154],"category_scores_gemma":[0.00034514666,0.0005727773,0.0006159498,0.00034469913,0.0006764038,0.000040327053,0.00019790814,0.00079864846,0.00030376282],"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":[0.00026728798,0.00040087348,0.00090889283,0.0062099854,0.00039285445,0.005422928,0.0001547923,2.6841727e-7,0.0001186062,0.00015042351,0.0015778121,0.98439527],"study_design_scores_gemma":[0.0015784526,0.003036172,0.0057024495,0.0036195784,0.0018427232,0.029754354,0.00002026433,0.00000608258,0.000016361639,0.000031984076,0.9538185,0.00057306036],"about_ca_topic_score_codex":0.000015831529,"about_ca_topic_score_gemma":0.0000019212396,"teacher_disagreement_score":0.9838222,"about_ca_system_score_codex":0.00022762165,"about_ca_system_score_gemma":0.00024064568,"threshold_uncertainty_score":0.99967235},"labels":[],"label_agreement":null},{"id":"W2041436700","doi":"10.1007/s00330-010-1980-7","title":"Anal carcinomas: the role of endoanal ultrasound and magnetic resonance imaging in staging, response evaluation and follow-up","year":2010,"lang":"en","type":"review","venue":"European Radiology","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Magnetic resonance imaging; Endoanal ultrasound; Radiology; Ultrasound; Neuroradiology; Interventional radiology; Anal cancer; Anal Carcinoma; Anal canal; Cancer; Surgery; Rectum; Internal medicine","score_opus":0.02144659239857056,"score_gpt":0.28957022382791964,"score_spread":0.2681236314293491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041436700","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":[0.19550627,0.8019589,3.0957716e-7,0.00004282006,0.000097991375,0.00048619008,0.000018676112,0.000008882333,0.0018799113],"genre_scores_gemma":[0.21321738,0.78605115,0.000036795976,0.000057897396,0.00018827738,0.000018759583,0.00003470302,0.000040834788,0.00035418247],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648756,0.002153856,0.00049619976,0.00043550698,0.00017294753,0.00025393642],"domain_scores_gemma":[0.9985165,0.00080572075,0.00020293373,0.00031775824,0.00007004822,0.00008705706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024516196,0.00026509882,0.00090143835,0.0002595031,0.00005950886,0.000014968769,0.00014480278,0.00007933432,0.000054032625],"category_scores_gemma":[0.0007849025,0.00017640521,0.00013276804,0.00019989218,0.0004118297,0.000028956443,0.00009658159,0.00061557564,0.000004711392],"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":[0.00033783977,0.000014000313,0.024764096,0.00035906036,0.000013477465,0.00014121307,0.00038706858,5.7595354e-8,0.0004588757,0.00004703342,0.00006106593,0.9734162],"study_design_scores_gemma":[0.0011873934,0.00038174904,0.2947184,0.0011490742,0.0006604976,0.0029116396,0.00014071059,0.00008156529,0.0000044914023,0.000050337778,0.69852567,0.00018846292],"about_ca_topic_score_codex":0.000038461476,"about_ca_topic_score_gemma":0.000051658815,"teacher_disagreement_score":0.97322774,"about_ca_system_score_codex":0.000052949898,"about_ca_system_score_gemma":0.00020729563,"threshold_uncertainty_score":0.7193596},"labels":[],"label_agreement":null},{"id":"W2041859698","doi":"10.1007/s00330-013-3066-9","title":"Clinical validation of semi-automated software for volumetric and dynamic contrast enhancement analysis of soft tissue venous malformations on Magnetic Resonance Imaging examination","year":2013,"lang":"en","type":"article","venue":"European Radiology","topic":"Vascular Malformations and Hemangiomas","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute; Hôpital Notre-Dame; Centre Hospitalier Universitaire Sainte-Justine; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Object Research Systems (Canada); Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Venous malformation; Magnetic resonance imaging; Medicine; Neuroradiology; Interventional radiology; Sclerotherapy; Reproducibility; Radiology; Nuclear medicine; Ultrasound; Dynamic contrast; Dynamic contrast-enhanced MRI; Contrast enhancement; Biomedical engineering; Neurology; Chemistry","score_opus":0.01238519312477526,"score_gpt":0.2881990684212486,"score_spread":0.27581387529647333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041859698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229349,0.0014760679,0.07447752,0.000082174374,0.00006637925,0.0006200207,0.000024878633,0.000053994623,0.00026408117],"genre_scores_gemma":[0.99502134,0.00011166201,0.0041760434,0.000067829926,0.000020662072,0.000024737805,0.00042366426,0.000014022815,0.0001400306],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987389,0.0002057532,0.0006401083,0.00017158018,0.00010249288,0.00014118633],"domain_scores_gemma":[0.99892735,0.00023039638,0.00026851092,0.000225978,0.00030033643,0.0000473955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006637337,0.00009554435,0.00040393716,0.0005661948,0.000055242013,0.000009194193,0.000061768274,0.00003915135,0.00008006068],"category_scores_gemma":[0.00043128518,0.00008790832,0.000095649055,0.0005605823,0.00009842693,0.00010630867,0.000021093008,0.00006235052,0.000019099443],"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":[0.00012169355,0.0009314936,0.07690459,0.00045960225,0.0007845142,0.000009824394,0.0014622962,0.0012924279,0.009417904,0.00033192767,0.0016062555,0.9066775],"study_design_scores_gemma":[0.0010490752,0.00087004446,0.8265346,0.000043660944,0.0006286342,0.00002165355,0.000074638294,0.16979955,0.00031810155,0.000009073407,0.00057791267,0.00007303527],"about_ca_topic_score_codex":0.000009652551,"about_ca_topic_score_gemma":0.0000016145109,"teacher_disagreement_score":0.9066044,"about_ca_system_score_codex":0.000031726486,"about_ca_system_score_gemma":0.000019563562,"threshold_uncertainty_score":0.35847974},"labels":[],"label_agreement":null},{"id":"W2042049429","doi":"10.1007/s00330-008-0931-z","title":"Contrast-enhanced ultrasonography and spiral computed tomography in the detection and characterization of portal vein thrombosis complicating hepatocellular carcinoma","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Radiology; Hepatocellular carcinoma; Portal vein thrombosis; Thrombus; Neuroradiology; Thrombosis; Malignancy; Interventional radiology; Spiral computed tomography; Ultrasound; Portal vein; Computed tomography; Pathology; Internal medicine","score_opus":0.0377041244288511,"score_gpt":0.22051819417626226,"score_spread":0.18281406974741116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042049429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971225,0.00059286755,0.00096426765,0.00008885898,0.000038942926,0.0005506782,0.0000091439115,0.000033034896,0.00059967284],"genre_scores_gemma":[0.99922824,0.00018432521,0.0002252545,0.00014999999,0.000066283996,0.000015648111,0.00010918775,0.000018933817,0.0000021274159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987212,0.00040270033,0.00032389892,0.00027680898,0.00008533524,0.00019007728],"domain_scores_gemma":[0.999501,0.00007835783,0.00014020666,0.00017667339,0.00004213307,0.00006161735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002645503,0.00015965434,0.000347295,0.00016397907,0.00010709139,0.000007970948,0.00006436843,0.000056217013,0.00000625226],"category_scores_gemma":[0.000014699993,0.0001235691,0.000078324796,0.00031240276,0.00028400857,0.000051857816,0.000019387393,0.0001497364,0.0000014141406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004199691,0.00006213257,0.6973575,0.000025959198,0.000036159974,0.000079692014,0.000959457,4.8051167e-8,0.29964194,0.000021343867,0.0000021284693,0.0017716533],"study_design_scores_gemma":[0.0013185428,0.00064179377,0.9782068,0.00002699479,0.00006897107,0.0006208317,0.00008465759,0.0011512374,0.017717518,0.000005581799,0.00005481205,0.00010222622],"about_ca_topic_score_codex":0.000027770631,"about_ca_topic_score_gemma":0.0000030728606,"teacher_disagreement_score":0.28192443,"about_ca_system_score_codex":0.00000670102,"about_ca_system_score_gemma":0.000009677158,"threshold_uncertainty_score":0.5039002},"labels":[],"label_agreement":null},{"id":"W2042302551","doi":"10.1007/s00330-011-2088-4","title":"Low-dose triple-rule-out using 320-row-detector volume MDCT – less contrast medium and lower radiation exposure","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Hounsfield scale; Nuclear medicine; Radiology; Image quality; Coronary arteries; Aortic arch; Iodinated contrast; Cardiac imaging; Ascending aorta; Contrast medium; Neuroradiology; Aorta; Right coronary artery; Descending aorta; Artery; Computed tomography; Cardiology; Coronary angiography; Myocardial infarction","score_opus":0.027217483307069572,"score_gpt":0.24813483599048658,"score_spread":0.220917352683417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042302551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850166,0.0023622983,0.0014569759,0.00022595473,0.0027114088,0.0003380393,0.000032127926,0.00015457446,0.007702061],"genre_scores_gemma":[0.9962804,0.00015540022,0.00063706975,0.00082533795,0.0013592216,0.0000043334708,0.000051073548,0.000077409844,0.0006097574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981892,0.00044547615,0.00038106623,0.0004271747,0.00013776045,0.00041932895],"domain_scores_gemma":[0.9989322,0.0001669454,0.0001437662,0.00038762737,0.00010120293,0.00026828714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005593925,0.00025082545,0.0005175934,0.00015347081,0.00009936378,0.000022512719,0.00010446668,0.00010480716,0.00011101271],"category_scores_gemma":[0.0007907565,0.00023122274,0.00012977465,0.00009601312,0.00028604156,0.00008158297,0.0000627926,0.00031300797,0.00019192621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024497472,0.0006288383,0.8264931,0.00026261984,0.0006705095,0.004217762,0.007808051,0.000030395104,0.080184095,0.00016795816,0.025798505,0.051288422],"study_design_scores_gemma":[0.006771791,0.00083029584,0.97313994,0.00012406915,0.00043261124,0.0014249664,0.00024668733,0.00039393676,0.0029223461,0.000022886428,0.013249115,0.00044135333],"about_ca_topic_score_codex":0.000027804626,"about_ca_topic_score_gemma":0.0000038515996,"teacher_disagreement_score":0.14664684,"about_ca_system_score_codex":0.00006213443,"about_ca_system_score_gemma":0.00008586508,"threshold_uncertainty_score":0.942899},"labels":[],"label_agreement":null},{"id":"W2044617124","doi":"10.1007/s00330-010-1941-1","title":"Simultaneous assessment of liver volume and whole liver fat content: a step towards one-stop shop preoperative MRI protocol","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Notre-Dame; Université de Montréal; Hôpital Saint-Luc","funders":"Société Française de Radiologie","keywords":"Medicine; Magnetic resonance imaging; Neuroradiology; Nuclear medicine; Segmentation; Reproducibility; Voxel; Ultrasound; Coefficient of variation; Radiology; Mathematics; Neurology; Artificial intelligence","score_opus":0.030535102441093667,"score_gpt":0.2973813651987099,"score_spread":0.26684626275761625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044617124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436241,0.00024639114,0.000233678,0.0005877856,0.0001561019,0.036255796,0.00013293914,0.00008275299,0.018680498],"genre_scores_gemma":[0.99038166,0.00006460193,0.0029232956,0.00039226745,0.00022214421,0.0040058563,0.000052790354,0.00004077732,0.0019165907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839467,0.0003532474,0.00033974103,0.00046096885,0.00017819113,0.00027319038],"domain_scores_gemma":[0.99887425,0.00013669812,0.0001397634,0.0003868271,0.00021548237,0.00024696186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002048013,0.00024282708,0.00049837737,0.00007652215,0.00007568729,0.000020038637,0.00012259385,0.000078395584,0.00049712165],"category_scores_gemma":[0.00011312501,0.00018407196,0.00010878108,0.00006129443,0.00031311915,0.00006981252,0.00013028995,0.00029281175,0.00009754861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025670093,0.010390893,0.78555685,0.0014046981,0.0034385917,0.013267879,0.008385234,0.000118630465,0.056826204,0.005270689,0.013757979,0.09901532],"study_design_scores_gemma":[0.0067421654,0.003963615,0.9482729,0.00014070293,0.0004667922,0.00031104116,0.00018376972,0.0054735695,0.0009188096,0.000006448289,0.03322332,0.0002968958],"about_ca_topic_score_codex":0.00007722128,"about_ca_topic_score_gemma":0.000025883732,"teacher_disagreement_score":0.162716,"about_ca_system_score_codex":0.000054128814,"about_ca_system_score_gemma":0.000094076204,"threshold_uncertainty_score":0.75062364},"labels":[],"label_agreement":null},{"id":"W2045680061","doi":"10.1007/s00330-014-3142-9","title":"Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"Mitacs","keywords":"Neuroradiology; Medicine; Interventional radiology; Radiology; Ultrasound; Computed tomography; Iterative reconstruction; Nuclear medicine; Neurology","score_opus":0.008122937485630597,"score_gpt":0.21740391755789137,"score_spread":0.20928098007226079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045680061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730897,0.00004276418,0.0015497091,0.00009616601,0.0002107206,0.00026007972,0.000008688663,0.000029658253,0.0004932502],"genre_scores_gemma":[0.9976519,0.00017182049,0.0017117084,0.000030413908,0.00028671412,0.000017233508,0.000044172688,0.000020022007,0.00006605857],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99942386,0.000090811685,0.00016532546,0.00019541393,0.000023777815,0.0001008392],"domain_scores_gemma":[0.99968106,0.000032057404,0.000097309196,0.000112647875,0.000037044425,0.00003988419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012638458,0.00007982299,0.0001718517,0.000060390365,0.00004651465,0.0000047020358,0.000021069158,0.000017781875,0.000008910389],"category_scores_gemma":[0.000033561326,0.00006946967,0.00004017863,0.000029953495,0.00006184434,0.000040670722,0.000013949729,0.00004206457,0.0000044396656],"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":[0.00037272213,0.0000813938,0.019323405,0.00023959373,0.000053906355,0.000022493638,0.00006145374,0.000007400977,0.8863021,0.000026481746,0.000003006202,0.09350601],"study_design_scores_gemma":[0.00168504,0.00061777566,0.9018855,0.000095027295,0.0000887682,0.001408844,0.000011927124,0.0015314919,0.09232522,0.000007589339,0.00026654152,0.00007624379],"about_ca_topic_score_codex":0.0000034600034,"about_ca_topic_score_gemma":0.0000011570833,"teacher_disagreement_score":0.8825621,"about_ca_system_score_codex":0.000037379115,"about_ca_system_score_gemma":0.000004753281,"threshold_uncertainty_score":0.2832891},"labels":[],"label_agreement":null},{"id":"W2048382874","doi":"10.1007/s00330-004-2341-1","title":"Renal artery aneurysms: diagnosis and surveillance with 3D contrast-enhanced magnetic resonance angiography","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Renal hilum; Radiology; Renal artery; Renal artery stenosis; Magnetic resonance angiography; Neuroradiology; Aneurysm; Interventional radiology; Stenosis; Angiography; Magnetic resonance imaging; Kidney; Nephrectomy; Internal medicine; Neurology","score_opus":0.007226263880663557,"score_gpt":0.20679943633977146,"score_spread":0.1995731724591079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048382874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983123,0.011291289,0.0009553736,0.00034630703,0.000049665447,0.00032395363,0.000024770352,0.00006397888,0.0038216787],"genre_scores_gemma":[0.996233,0.00091880414,0.002060243,0.0004465309,0.000101036465,0.000035008128,0.000040526676,0.000030436793,0.00013443246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989816,0.00015707804,0.00016605308,0.00035652317,0.00008358044,0.00025514566],"domain_scores_gemma":[0.9994593,0.000058451216,0.000051187115,0.00026586888,0.000043514192,0.00012166194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110720786,0.00017037643,0.0002953097,0.00010617663,0.00008492092,0.000011195794,0.000054103657,0.000033693577,0.00005063816],"category_scores_gemma":[0.000025091827,0.00012796513,0.000092588074,0.00017208357,0.00028912153,0.00003954043,0.000018458142,0.00011136073,0.000047804046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020353657,0.0010023658,0.85055184,0.00009399603,0.00093312014,0.02056139,0.0007507457,0.000072887415,0.006987536,0.00063495676,0.0018160302,0.114559755],"study_design_scores_gemma":[0.0052548726,0.0023814698,0.9843173,0.00007443388,0.00011108023,0.0032701013,0.000021344418,0.0000029161247,0.00023751147,0.00003889242,0.004135604,0.00015449878],"about_ca_topic_score_codex":0.000010410014,"about_ca_topic_score_gemma":0.000016942806,"teacher_disagreement_score":0.13376543,"about_ca_system_score_codex":0.000020002248,"about_ca_system_score_gemma":0.000021312875,"threshold_uncertainty_score":0.5218267},"labels":[],"label_agreement":null},{"id":"W2051463287","doi":"10.1007/s00330-013-2802-5","title":"Percutaneous radiofrequency ablation of small renal tumours in patients with a single functioning kidney: long-term results","year":2013,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Percutaneous; Neuroradiology; Radiofrequency ablation; Interventional radiology; Radiology; Ablation; Kidney; Ultrasound; Catheter ablation; Internal medicine; Neurology","score_opus":0.016231582549685097,"score_gpt":0.20273020090054558,"score_spread":0.18649861835086048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051463287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831044,0.00014001213,0.000114154755,0.00014014558,0.00010819271,0.00058083487,0.000007872648,0.00004217689,0.015762199],"genre_scores_gemma":[0.997119,0.000009210534,0.0017964059,0.00014377537,0.00010231226,0.0000053715803,0.00030163955,0.000043561893,0.0004787314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983988,0.0003299977,0.0004646941,0.00036962493,0.00014667696,0.0002902545],"domain_scores_gemma":[0.99905455,0.000068241694,0.00021508135,0.0003436609,0.00014395243,0.00017451328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018343,0.00019135374,0.00034961678,0.00020772152,0.000035839686,0.000010199615,0.00008677212,0.000052846637,0.000094573596],"category_scores_gemma":[0.00017681328,0.00014584383,0.000056694626,0.00016777024,0.00012445409,0.00006619649,0.000025046,0.00018914368,0.000075484684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013949216,0.0003626613,0.9775522,0.000046342266,0.00007433427,0.001020065,0.00056355057,0.00017414574,0.013904138,0.000010079404,0.00029428318,0.004603297],"study_design_scores_gemma":[0.0038408616,0.0038464004,0.99031,0.000174311,0.00007282283,0.0010211976,0.000014920094,0.000044099157,0.0005043884,0.000004225673,0.000035933095,0.00013085348],"about_ca_topic_score_codex":0.00007434836,"about_ca_topic_score_gemma":0.0000062532467,"teacher_disagreement_score":0.015283467,"about_ca_system_score_codex":0.00024118116,"about_ca_system_score_gemma":0.00006321517,"threshold_uncertainty_score":0.5947339},"labels":[],"label_agreement":null},{"id":"W2052299447","doi":"10.1007/s00330-010-1985-2","title":"Cardiac magnetic resonance imaging in dilated cardiomyopathy in adults—towards identification of myocardial inflammation","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft","keywords":"Medicine; Cardiology; Inflammation; Internal medicine; Magnetic resonance imaging; Myocarditis; Cardiomyopathy; Dilated cardiomyopathy; Neuroradiology; Gold standard (test); Cardiac magnetic resonance; Cardiac magnetic resonance imaging; Biopsy; Radiology; Heart failure; Neurology","score_opus":0.007149981391872257,"score_gpt":0.25531422128466363,"score_spread":0.24816423989279138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052299447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897438,0.002263773,0.000029542618,0.00029884276,0.0005434237,0.00033714174,0.000007445483,0.00002939436,0.006746627],"genre_scores_gemma":[0.99914926,0.00037356876,0.00006361778,0.000017583297,0.00019163621,0.000018875466,0.00004181259,0.000020255959,0.00012335878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983258,0.00058089057,0.000496791,0.00026012948,0.000094073606,0.00024230764],"domain_scores_gemma":[0.9993775,0.00003808844,0.000081966784,0.00035522724,0.000111588895,0.000035611625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256749,0.00010279089,0.000316677,0.00044692098,0.000029755227,0.000007081905,0.00010522947,0.0000752204,0.000027786298],"category_scores_gemma":[0.00042164625,0.000100328834,0.000081379694,0.00040825162,0.00023739785,0.00008651448,0.000055319426,0.0005306783,0.00006831336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023609509,0.00003724189,0.46435153,0.000022360924,0.000008071316,0.000077558376,0.0004511715,0.000017129662,0.39406803,0.00013357612,0.00007449061,0.14052275],"study_design_scores_gemma":[0.0012961723,0.00016778936,0.9918469,0.000044463646,0.000011352657,0.00007451437,0.00006545098,0.00040195137,0.0030742872,0.000031146956,0.002906999,0.00007896149],"about_ca_topic_score_codex":0.00017387544,"about_ca_topic_score_gemma":0.000024326535,"teacher_disagreement_score":0.5274954,"about_ca_system_score_codex":0.00004605322,"about_ca_system_score_gemma":0.00006102175,"threshold_uncertainty_score":0.4091291},"labels":[],"label_agreement":null},{"id":"W2053053549","doi":"10.1007/s00330-009-1457-8","title":"Clinical Doppler ultrasound for the assessment of plaque ulceration in the stenosed carotid bifurcation by detection of distal turbulence intensity: a matched model study","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Carotid bifurcation; Ultrasound; Stenosis; Radiology; Cardiac cycle; Common carotid artery; Diastole; Blood flow; Intensity (physics); Carotid arteries; Internal medicine; Nuclear medicine; Blood pressure","score_opus":0.0385538930691027,"score_gpt":0.35494525337945737,"score_spread":0.31639136031035464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053053549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92677337,0.000040559964,0.071201846,0.00065262005,0.000103917475,0.0010288873,0.000022608767,0.000008674042,0.00016751251],"genre_scores_gemma":[0.99911124,0.000071686714,0.00040078923,0.00024028175,0.00006470958,0.000014497584,0.000056544395,0.000007256704,0.000032992695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871176,0.00041963038,0.0005201165,0.00016181779,0.00009539207,0.00009128214],"domain_scores_gemma":[0.9986821,0.00072409725,0.00018061984,0.00026887647,0.00012555308,0.000018774508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012294115,0.00007965226,0.00023192227,0.00004362813,0.00004435504,0.000005709199,0.00011386855,0.00003300447,0.000005336534],"category_scores_gemma":[0.0003741516,0.00004823718,0.00009579754,0.000086188214,0.00008243982,0.000029232855,0.000012500637,0.00016617533,7.554913e-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":[0.003931824,0.016001213,0.6978989,0.00020062279,0.0006611322,0.000051914656,0.014628287,0.017007092,0.20358263,0.0032874865,0.009543385,0.033205487],"study_design_scores_gemma":[0.0018574686,0.004168799,0.9670368,0.00002941418,0.00014062699,0.00007524414,0.0016195044,0.02451677,0.0003326896,0.00011210009,0.000055788623,0.00005481043],"about_ca_topic_score_codex":0.000024872408,"about_ca_topic_score_gemma":0.000047061552,"teacher_disagreement_score":0.26913786,"about_ca_system_score_codex":0.000031305364,"about_ca_system_score_gemma":0.00003070999,"threshold_uncertainty_score":0.19670552},"labels":[],"label_agreement":null},{"id":"W2053400669","doi":"10.1007/s00330-008-0955-4","title":"Accuracy of ultrasound-guided, large-core needle breast biopsy","year":2008,"lang":"en","type":"review","venue":"European Radiology","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":false,"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":"Johns Hopkins University","keywords":"Medicine; Biopsy; Radiology; Interventional radiology; Breast cancer; Core biopsy; Ultrasound; Neuroradiology; Breast biopsy; Medical physics; Mammography; Cancer; Internal medicine","score_opus":0.06389310845175011,"score_gpt":0.3257816694611218,"score_spread":0.2618885610093717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053400669","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":[0.00046430738,0.97361535,0.000057394314,0.000039187224,0.00043306558,0.0005868108,0.000308792,0.00009852776,0.024396572],"genre_scores_gemma":[0.0008465366,0.99458385,0.00042197542,0.00017265613,0.0011490404,0.000012430724,0.0008078635,0.00017667512,0.0018289476],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99684894,0.0006639007,0.001093693,0.00063409284,0.00018756342,0.00057179236],"domain_scores_gemma":[0.99733764,0.00041571856,0.0006793057,0.0011603419,0.00013658535,0.00027041262],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040155783,0.00057818403,0.0026404525,0.0003610704,0.0000995864,0.0000070508104,0.00047474183,0.00031322098,0.00062789774],"category_scores_gemma":[0.0002863011,0.0004220697,0.0009740451,0.00045835352,0.00031767,0.000037634796,0.00016247199,0.00075038,0.0009788489],"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":[0.00005878397,0.00045250676,0.0011669988,0.008598186,0.0007844361,0.003764696,0.00021881286,3.466137e-7,0.00007236528,0.0013829477,0.13794574,0.8455542],"study_design_scores_gemma":[0.00058069883,0.000112024696,0.005687238,0.002456479,0.0004967649,0.2672037,0.00001945804,5.804675e-7,2.2757732e-7,0.000003932748,0.7231884,0.00025051885],"about_ca_topic_score_codex":0.000018034314,"about_ca_topic_score_gemma":3.509737e-7,"teacher_disagreement_score":0.84530365,"about_ca_system_score_codex":0.00008455519,"about_ca_system_score_gemma":0.00041036328,"threshold_uncertainty_score":0.9998231},"labels":[],"label_agreement":null},{"id":"W2057125947","doi":"10.1007/s00330-014-3571-5","title":"The pathophysiology of the chronic cardiorenal syndrome: a magnetic resonance imaging study","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; British Heart Foundation","keywords":"Cardiorenal syndrome; Medicine; Cardiology; Renal function; Internal medicine; Kidney disease; Pathophysiology; Heart failure; Diabetes mellitus; Coronary artery disease; Magnetic resonance imaging; Perfusion; Neuroradiology; Endocrinology; Radiology; Neurology","score_opus":0.015844756797962493,"score_gpt":0.2554352829318688,"score_spread":0.2395905261339063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057125947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9408275,0.047231145,0.000008664022,0.0035717948,0.0011505897,0.0007401665,0.00000806081,0.000043264597,0.0064188037],"genre_scores_gemma":[0.99789274,0.00061908556,0.000044973083,0.0004582903,0.00038067048,0.000035350236,0.0000017081888,0.000037392074,0.0005297672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734485,0.001451809,0.00034460617,0.00032276622,0.0001940343,0.0003419065],"domain_scores_gemma":[0.9984794,0.00023489792,0.000130997,0.00095603016,0.000106467705,0.0000921631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000986303,0.00015334194,0.00037090847,0.000038407743,0.000106907544,0.000006886245,0.0004716906,0.000026075262,0.000026006841],"category_scores_gemma":[0.00024922597,0.00008379434,0.00011785279,0.0002138909,0.0005959962,0.000018555891,0.00025210474,0.00030338587,0.00007408767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046861614,0.00033312288,0.73510784,0.00005072948,0.0001524563,0.0019986443,0.0028688754,0.00015941418,0.002638445,0.00028445685,0.12745738,0.12848005],"study_design_scores_gemma":[0.002053472,0.0018878812,0.9063533,0.00005251437,0.0001136603,0.001276886,0.0003365609,0.00008258665,0.000050259994,0.000115688075,0.08757487,0.00010232381],"about_ca_topic_score_codex":0.000032930646,"about_ca_topic_score_gemma":0.000016721626,"teacher_disagreement_score":0.17124547,"about_ca_system_score_codex":0.0001532806,"about_ca_system_score_gemma":0.00021539384,"threshold_uncertainty_score":0.3417034},"labels":[],"label_agreement":null},{"id":"W2057725437","doi":"10.1007/s00330-004-2505-z","title":"Mastoid effusion associated with dural sinus thrombosis","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Effusion; Thrombosis; Neuroradiology; Sinus (botany); Radiology; Surgery; Neurology","score_opus":0.018270207897139776,"score_gpt":0.24003671014885783,"score_spread":0.22176650225171807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057725437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565691,0.00011052081,0.00017738048,0.0015850022,0.00021302828,0.0003148088,0.000009319717,0.00032727484,0.04069361],"genre_scores_gemma":[0.99634856,0.000028955772,0.0009972373,0.0014681343,0.0002553626,0.0000038315447,0.00010502171,0.00009878279,0.0006940891],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982428,0.00029449564,0.00029851648,0.0004419452,0.00020620394,0.0005160414],"domain_scores_gemma":[0.99908286,0.000069019974,0.00013705569,0.0004220328,0.00009251468,0.00019652552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032732918,0.00026353885,0.0005411694,0.00012814313,0.0001602815,0.0000140203165,0.00016205566,0.00009828476,0.0003564252],"category_scores_gemma":[0.00021011858,0.00020106832,0.00011388027,0.0002975323,0.0002945087,0.000062513085,0.00008228964,0.00035802627,0.00071667734],"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":[0.0026924934,0.006450994,0.36075914,0.00027261092,0.0043457714,0.015836857,0.012352853,0.0015879796,0.54675364,0.005693915,0.030350449,0.012903266],"study_design_scores_gemma":[0.0053955493,0.003022593,0.98523295,0.00019881947,0.00023522037,0.002359791,0.00009320863,0.000012485608,0.00145026,0.00007403646,0.0016045768,0.0003205171],"about_ca_topic_score_codex":0.000059139646,"about_ca_topic_score_gemma":0.000052075135,"teacher_disagreement_score":0.6244738,"about_ca_system_score_codex":0.00033749593,"about_ca_system_score_gemma":0.00009654555,"threshold_uncertainty_score":0.9211676},"labels":[],"label_agreement":null},{"id":"W2058049478","doi":"10.1007/s00330-014-3507-0","title":"Radiation exposure from diagnostic imaging in young patients with testicular cancer","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Testicular cancer; Radiation exposure; Radiology; Cancer imaging; Ultrasound; Medical imaging; Medical physics; Cancer; Nuclear medicine; Neurology; Internal medicine","score_opus":0.0033898279673811858,"score_gpt":0.20734426330028757,"score_spread":0.2039544353329064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058049478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341756,0.0007255147,0.000919962,0.00052645395,0.0002563494,0.00019530802,0.0000071254076,0.00005194817,0.0038998008],"genre_scores_gemma":[0.99795026,0.00006559756,0.00021760327,0.0011011502,0.00042530952,0.000010209237,0.00014896868,0.000035195124,0.00004573974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890345,0.00027891874,0.00021288134,0.00026806782,0.00010329282,0.00023339856],"domain_scores_gemma":[0.99933565,0.0002491853,0.00008778505,0.00020817637,0.000039799244,0.000079431346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019532583,0.00012208338,0.0002013631,0.00011393111,0.00004199779,0.000014117368,0.00007253631,0.000019897547,0.00008838427],"category_scores_gemma":[0.0007076356,0.00009981648,0.000023802138,0.00011866085,0.00005088447,0.000102116064,0.000018423314,0.00014752775,0.00007950924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026861433,0.000039444305,0.9641926,0.0000044619637,0.000015455338,0.00004517866,0.00029695974,0.00030648665,0.00023949675,0.000014439799,0.0006399996,0.03417858],"study_design_scores_gemma":[0.0028568623,0.00011182216,0.9931535,0.00007341199,0.000045646695,0.0000128552565,0.000017501003,0.001256968,0.000050921062,0.0000140222355,0.002297746,0.00010872174],"about_ca_topic_score_codex":0.000154794,"about_ca_topic_score_gemma":0.000021356373,"teacher_disagreement_score":0.03406986,"about_ca_system_score_codex":0.000069344955,"about_ca_system_score_gemma":0.000025430822,"threshold_uncertainty_score":0.40703982},"labels":[],"label_agreement":null},{"id":"W2060564642","doi":"10.1007/s00330-010-1834-3","title":"Partial “targeted” embolisation of brain arteriovenous malformations","year":2010,"lang":"en","type":"review","venue":"European Radiology","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","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":"Hospital for Sick Children; Toronto Western Hospital; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Arteriovenous malformation; Neurosurgery; Radiology; Embolization; Natural history; Neurology; Internal medicine","score_opus":0.037510326736271034,"score_gpt":0.31422158971459807,"score_spread":0.27671126297832704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060564642","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":[0.00048750202,0.98906785,0.00021240421,0.00017564902,0.00041779102,0.00090280693,0.00009464233,0.00006284666,0.00857849],"genre_scores_gemma":[0.0007271117,0.99596524,0.00066126115,0.00016436391,0.0003915258,0.0000665206,0.0017978196,0.000059078306,0.00016707939],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979358,0.0006282426,0.00085592415,0.00023221043,0.00011922763,0.00022861591],"domain_scores_gemma":[0.9986241,0.00015804569,0.00046824722,0.0005786841,0.00006695072,0.00010400746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005697859,0.00027944846,0.0013285162,0.0002799393,0.00007374159,0.000011216816,0.00013917452,0.00019467095,0.0002573704],"category_scores_gemma":[0.00022357283,0.00021040253,0.00059727835,0.00016663871,0.000105036954,0.000064195745,0.000045854627,0.00038441716,0.0007293815],"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":[0.000007392766,0.00025998586,0.00002706883,0.0025300616,0.00041691682,0.00006429595,0.00027236005,0.0000022817137,0.000003861649,0.0009817233,0.0033784076,0.99205565],"study_design_scores_gemma":[0.00048805054,0.0002830053,0.00089765276,0.0010647211,0.0010912427,0.0014278237,0.000008987927,0.0000106054395,0.0000031955904,0.0000064781566,0.9945672,0.00015100685],"about_ca_topic_score_codex":0.000003504278,"about_ca_topic_score_gemma":0.0000016233939,"teacher_disagreement_score":0.9919046,"about_ca_system_score_codex":0.000057004996,"about_ca_system_score_gemma":0.00015671486,"threshold_uncertainty_score":0.9374967},"labels":[],"label_agreement":null},{"id":"W2061860090","doi":"10.1007/s00330-011-2262-8","title":"Volumetric feedback ablation of uterine fibroids using magnetic resonance-guided high intensity focused ultrasound therapy","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Philips (Canada)","funders":"","keywords":"High-intensity focused ultrasound; Medicine; Uterine fibroids; Magnetic resonance imaging; Ablation; Ultrasound; Radiology; Neuroradiology; Focused ultrasound; Interventional radiology; Adverse effect; Prospective cohort study; Nuclear medicine; Surgery; Internal medicine; Neurology","score_opus":0.06139002628053917,"score_gpt":0.2713195165332193,"score_spread":0.20992949025268012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061860090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929785,0.001153337,0.00027743715,0.000034618162,0.0002824406,0.00025397263,0.000012334166,0.00004978889,0.004957584],"genre_scores_gemma":[0.986984,0.00036046663,0.010813954,0.00015064272,0.00017022078,0.000001702314,0.000029750947,0.000040082145,0.0014491498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882317,0.00018781156,0.0003665916,0.00028952904,0.000094451,0.00023844371],"domain_scores_gemma":[0.99922323,0.00004333094,0.00013845334,0.00039357043,0.000118794844,0.00008258999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017811827,0.00017869698,0.00042448664,0.00019043125,0.00004325871,0.0000046967734,0.000104574436,0.00005216354,0.0007127365],"category_scores_gemma":[0.00007363229,0.00014543155,0.00008646603,0.00028195872,0.00014297482,0.0000492992,0.000046846322,0.00010288815,0.00007564759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026082671,0.0007240598,0.7623641,0.00008633917,0.00033055854,0.000986496,0.0013470356,0.000006848231,0.12841761,0.0002683901,0.0025412317,0.10031905],"study_design_scores_gemma":[0.0034455762,0.0024052423,0.98263854,0.000027824372,0.00004889868,0.0010383652,0.000008961215,0.00009572416,0.0041133636,0.000055415087,0.005999768,0.0001223294],"about_ca_topic_score_codex":0.00022336756,"about_ca_topic_score_gemma":0.0000016826405,"teacher_disagreement_score":0.22027442,"about_ca_system_score_codex":0.000052070198,"about_ca_system_score_gemma":0.000018708652,"threshold_uncertainty_score":0.7803965},"labels":[],"label_agreement":null},{"id":"W2065218203","doi":"10.1007/s00330-012-2415-4","title":"Technical performance evaluation of a human brain PET/MRI system","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":165,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Imaging phantom; Positron emission tomography; Image quality; Nuclear medicine; Medicine; Magnetic resonance imaging; Cardiac imaging; Biomedical engineering; Computer science; Radiology; Artificial intelligence","score_opus":0.05253407197625833,"score_gpt":0.3551741910847863,"score_spread":0.302640119108528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065218203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9277821,0.00014582685,0.0023396492,0.0014331007,0.00006531346,0.00040903068,0.0000018750488,0.0002078188,0.06761525],"genre_scores_gemma":[0.9935616,0.000009120367,0.005631512,0.00025641423,0.00030712027,0.0000306933,0.00003101316,0.000015295564,0.00015723202],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99888307,0.00031776747,0.00027881685,0.00013476358,0.00019641346,0.00018916566],"domain_scores_gemma":[0.9992965,0.00004439832,0.000096919786,0.0003536695,0.00009183652,0.000116661984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025963914,0.000076682205,0.0001979163,0.00006391843,0.000049442362,0.0000017632303,0.0001120417,0.000027028176,0.000101610225],"category_scores_gemma":[0.00014689888,0.0000616105,0.000047028218,0.000098117234,0.0001523388,0.00003081197,0.000045535868,0.0001660559,0.000081527134],"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":[0.00006162571,0.0006334979,0.06794032,0.00047068112,0.00007278023,0.000032027187,0.00043290845,0.0000079705105,0.6728685,0.04567574,0.18052174,0.031282213],"study_design_scores_gemma":[0.0037747591,0.0013973975,0.86025155,0.0007051412,0.0007004132,0.008372041,0.00021450814,0.015465568,0.009340309,0.000070844806,0.09922749,0.00047999114],"about_ca_topic_score_codex":0.0000026151884,"about_ca_topic_score_gemma":1.2065176e-7,"teacher_disagreement_score":0.79231125,"about_ca_system_score_codex":0.00006553319,"about_ca_system_score_gemma":0.000026554002,"threshold_uncertainty_score":0.25124034},"labels":[],"label_agreement":null},{"id":"W2065293203","doi":"10.1007/s00330-013-2772-7","title":"Characterisation of carotid plaques with ultrasound elastography: feasibility and correlation with high-resolution magnetic resonance imaging","year":2013,"lang":"en","type":"article","venue":"European Radiology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"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; Hôpital Notre-Dame; Université de Montréal; Montreal General Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Bracco Diagnostics","keywords":"Medicine; Ultrasound; Stenosis; Magnetic resonance imaging; Radiology; Elastography; Neuroradiology; Fibrous cap; Pathology; Neurology","score_opus":0.006633489021608297,"score_gpt":0.1992394311277398,"score_spread":0.19260594210613152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065293203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99303055,0.0017661973,0.0032660002,0.00016206768,0.000067066954,0.00044750652,0.0000073968326,0.00008539066,0.0011678505],"genre_scores_gemma":[0.99327165,0.00018260164,0.006162173,0.00013558716,0.00007856674,0.000011338886,0.000065634136,0.000030564723,0.00006188084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987776,0.00025548923,0.00025793255,0.0003505465,0.00012661764,0.00023178612],"domain_scores_gemma":[0.9992097,0.0001254453,0.0001555779,0.00026827797,0.00014967503,0.000091330316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023676733,0.00017476617,0.0002826816,0.00018300471,0.00008408044,0.000019669875,0.00005317823,0.000030385332,0.00004658924],"category_scores_gemma":[0.00006129636,0.0001286432,0.000036314952,0.00018298117,0.00057179155,0.00018490403,0.000011480051,0.00019425775,0.000012606081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028954443,0.000055586366,0.9655635,0.000033360153,0.000019545812,0.0000033673434,0.00052737765,0.000016288894,0.030518666,0.0000338054,0.000108387416,0.0028305647],"study_design_scores_gemma":[0.0014317716,0.0011634469,0.99513227,0.00013757077,0.00007982349,0.0009257068,0.00014619288,0.000088922214,0.00017676693,0.000036798643,0.00054147973,0.00013924703],"about_ca_topic_score_codex":0.0002295382,"about_ca_topic_score_gemma":0.000013367782,"teacher_disagreement_score":0.030341899,"about_ca_system_score_codex":0.000026096934,"about_ca_system_score_gemma":0.000023596509,"threshold_uncertainty_score":0.52459174},"labels":[],"label_agreement":null},{"id":"W2066031317","doi":"10.1007/s00330-011-2159-6","title":"Radiation dose threshold for coronary artery calcium score with MDCT: How low can you go?","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Credit Valley Hospital; Sinai Health System; Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Nuclear medicine; Interventional radiology; Confidence interval; Effective dose (radiation); Ultrasound; Radiation exposure; Radiology; Radiation dose; Internal medicine; Neurology","score_opus":0.037913983842718414,"score_gpt":0.24630667667087683,"score_spread":0.20839269282815842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066031317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96616805,0.0011396161,0.0029347788,0.0017722045,0.0010746785,0.00081068976,0.00008925869,0.00021541619,0.025795313],"genre_scores_gemma":[0.99456865,0.000044145567,0.0008447266,0.0018727477,0.00087062706,0.00002125361,0.00024481243,0.00007234354,0.0014607178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989396,0.00010714256,0.00016655012,0.00034266326,0.00009041984,0.00035362877],"domain_scores_gemma":[0.999134,0.0001152899,0.00008520373,0.00040296023,0.00008423408,0.00017833766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025032883,0.0001909282,0.0003308616,0.00009850463,0.0000730246,0.000012968899,0.00009644709,0.000055563833,0.00002769183],"category_scores_gemma":[0.00015928363,0.00015302839,0.00010556825,0.000079176236,0.00019395666,0.000047436875,0.000028753666,0.00018896592,0.00006106049],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015002599,0.000240541,0.8665536,0.00012158032,0.00030694483,0.0027761452,0.002185724,0.000028978311,0.0016803897,0.0006827235,0.11051649,0.013406633],"study_design_scores_gemma":[0.004015609,0.0013713414,0.97765136,0.00007610053,0.00025837193,0.0025919182,0.00013242797,0.000121322766,0.0006347328,0.000044320528,0.01284382,0.00025867793],"about_ca_topic_score_codex":0.000015805303,"about_ca_topic_score_gemma":0.0000070188585,"teacher_disagreement_score":0.11109777,"about_ca_system_score_codex":0.00005937821,"about_ca_system_score_gemma":0.000085974825,"threshold_uncertainty_score":0.62403166},"labels":[],"label_agreement":null},{"id":"W2067753449","doi":"10.1007/s00330-015-3692-5","title":"MRI findings of serous atrophy of bone marrow and associated complications","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Anorexia nervosa; Bone marrow; Atrophy; Serous fluid; Cachexia; Magnetic resonance imaging; Radiology; Interventional radiology; Surgery; Pathology; Internal medicine; Neurology; Eating disorders; Cancer","score_opus":0.031084879135778502,"score_gpt":0.2602743136114768,"score_spread":0.22918943447569828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067753449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835061,0.0007715201,0.000053302454,0.0007953361,0.00003892301,0.00009944323,0.000029993183,0.000025096677,0.014680291],"genre_scores_gemma":[0.998723,0.00005056094,0.00045035704,0.00028733147,0.000033396493,7.933561e-7,0.000050139377,0.000013203206,0.00039124236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993489,0.0001465477,0.00022772055,0.0001171303,0.000060003313,0.00009974584],"domain_scores_gemma":[0.9994759,0.000049174127,0.000102215316,0.00016506207,0.00010027431,0.00010737851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020732277,0.00006281756,0.0002818805,0.00006532817,0.0000142393765,0.0000013236851,0.000036608497,0.00002776771,0.000018973355],"category_scores_gemma":[0.00020403905,0.00005532995,0.000043946417,0.000085151485,0.00016901958,0.000016356988,0.00003516534,0.00006543013,0.000025696067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005747384,0.00068515824,0.7756089,0.00018196361,0.00040139206,0.000256344,0.0014483425,0.00001611105,0.070412666,0.0026215345,0.14593993,0.0018529309],"study_design_scores_gemma":[0.0017970518,0.0006746259,0.9917642,0.000046152192,0.000118742835,0.00019432399,0.00007723433,0.000039012346,0.00037635307,0.0001559794,0.004687436,0.00006890581],"about_ca_topic_score_codex":0.000016147194,"about_ca_topic_score_gemma":0.0000015752229,"teacher_disagreement_score":0.21615529,"about_ca_system_score_codex":0.000012933245,"about_ca_system_score_gemma":0.000031777003,"threshold_uncertainty_score":0.225629},"labels":[],"label_agreement":null},{"id":"W2068346402","doi":"10.1007/s00330-009-1560-x","title":"Contrast-enhanced computed tomography for the diagnosis of fatty liver: prospective study with same-day biopsy used as the reference standard","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Interventional radiology; Ultrasound; Contrast (vision); Computed tomography; Fatty liver; Biopsy; Prospective cohort study; Liver biopsy; Tomography; Contrast-enhanced ultrasound; Medical physics; Pathology; Neurology; Disease; Artificial intelligence","score_opus":0.02138712325716341,"score_gpt":0.2711710259561005,"score_spread":0.24978390269893708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068346402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085003,0.0015917318,0.0009853165,0.0012050071,0.000081284175,0.003921891,0.00013249462,0.00006646958,0.001165752],"genre_scores_gemma":[0.9984685,0.00021725515,0.00025102025,0.0006404574,0.00010073015,0.00023778404,0.000025425086,0.000022379427,0.00003642972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984232,0.00046523512,0.00026602397,0.00038932922,0.00019704767,0.00025913064],"domain_scores_gemma":[0.9981023,0.00090274727,0.00017374649,0.00048170224,0.00024597338,0.00009355037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040601345,0.00022280579,0.00046109347,0.00006130796,0.00018224512,0.000019193485,0.00022702964,0.000029126086,0.000043880736],"category_scores_gemma":[0.00009351202,0.000102729486,0.00013551327,0.00022753623,0.0002766694,0.000032379012,0.000029917024,0.00014683163,0.0000105398585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058929836,0.0038951207,0.9549991,0.000038278184,0.0032027564,0.00040145798,0.0074403035,0.000058869,0.00060693006,0.0022065383,0.0017231335,0.019534525],"study_design_scores_gemma":[0.0060037277,0.0133900475,0.9758117,0.00006608538,0.0007845206,0.000034764606,0.0008528442,0.000019142735,0.0023012185,0.000051333747,0.0005620368,0.00012253658],"about_ca_topic_score_codex":0.000039041737,"about_ca_topic_score_gemma":0.0000219063,"teacher_disagreement_score":0.020812638,"about_ca_system_score_codex":0.000046250072,"about_ca_system_score_gemma":0.00005890603,"threshold_uncertainty_score":0.4189187},"labels":[],"label_agreement":null},{"id":"W2068936449","doi":"10.1007/s00330-008-1107-6","title":"T1rho, T2 and focal knee cartilage abnormalities in physically active and sedentary healthy subjects versus early OA patients—a 3.0-Tesla MRI study","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":216,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Medicine; Asymptomatic; Cartilage; Osteoarthritis; Neuroradiology; Ultrasound; Internal medicine; Radiology; Pathology; Neurology; Anatomy","score_opus":0.016065674771381523,"score_gpt":0.2410200570250171,"score_spread":0.2249543822536356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068936449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525267,0.0003660917,0.0000019125812,0.000115385,0.00028640492,0.0007714834,0.00001591283,0.000052619733,0.0031375252],"genre_scores_gemma":[0.9989813,0.00011777664,0.00006394496,0.00032968022,0.00017817515,0.000018111732,0.000047008492,0.00003597701,0.00022803458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983934,0.00045421842,0.00024960225,0.00040627163,0.00013123808,0.0003652433],"domain_scores_gemma":[0.99939173,0.0001355019,0.00006581803,0.00018934708,0.00003630385,0.00018127865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012358052,0.00021669017,0.00042266157,0.000120989636,0.000121178484,0.00000911978,0.000051245792,0.000049566028,0.000012249496],"category_scores_gemma":[0.00003583399,0.00019614157,0.000040284,0.00008526901,0.00018803528,0.000116766285,0.00008610692,0.00022389488,0.000027715887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011828303,0.0017697373,0.9260062,0.000052751464,0.00015345962,0.006634929,0.032417923,0.0000010822976,0.0019388717,0.00020397556,0.00045439898,0.018538356],"study_design_scores_gemma":[0.024840811,0.037068572,0.93507886,0.000027564462,0.00008230776,0.00027211095,0.001685951,0.0000033547983,0.00041264406,0.000014138475,0.00030610574,0.00020757041],"about_ca_topic_score_codex":0.00009381067,"about_ca_topic_score_gemma":0.0001310646,"teacher_disagreement_score":0.035298835,"about_ca_system_score_codex":0.00006952476,"about_ca_system_score_gemma":0.000035157005,"threshold_uncertainty_score":0.7998421},"labels":[],"label_agreement":null},{"id":"W2070546025","doi":"10.1007/s00330-011-2114-6","title":"Contrast enhanced ultrasound in the detection of liver metastases: a prospective multi-centre dose testing study using a perfluorobutane microbubble contrast agent (NC100100)","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Medicine; Mechanical index; Ultrasound; Microbubbles; Contrast-enhanced ultrasound; Neuroradiology; Radiology; Interventional radiology; Nuclear medicine; Malignancy; Prospective cohort study; Contrast (vision); Diagnostic accuracy; Internal medicine","score_opus":0.03979159378862207,"score_gpt":0.22918538223437487,"score_spread":0.1893937884457528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070546025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833654,0.0004886989,0.013823504,0.0000017588478,0.00008967613,0.0010558113,0.000032457123,0.00010758414,0.0010350642],"genre_scores_gemma":[0.997214,0.000030495425,0.0025579534,0.000026036358,0.00006852951,0.000034179266,0.0000065923336,0.00004977173,0.000012433759],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983902,0.0004969181,0.00040514304,0.00030023805,0.00007870661,0.00032877742],"domain_scores_gemma":[0.9991069,0.00035977908,0.00010329076,0.00029874677,0.00008324112,0.000048074187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049006945,0.0002263232,0.00031982403,0.00009777409,0.000112889065,0.000019669476,0.0002627602,0.00004293064,0.000038904753],"category_scores_gemma":[0.00015942456,0.00018023918,0.00006249565,0.00030464854,0.00012725928,0.00007938238,0.000021472428,0.00026795059,0.00002814706],"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":[0.000041732023,0.00059693883,0.006836778,0.000018454726,0.00013794603,0.000056447585,0.020699408,0.0011656645,0.9686267,0.000022589618,0.0000052153778,0.0017921446],"study_design_scores_gemma":[0.008920961,0.0010668149,0.85335267,0.00012409496,0.00065176305,0.0016371171,0.02530001,0.013408461,0.09397003,0.000046636895,0.00037120414,0.0011502482],"about_ca_topic_score_codex":0.0002277063,"about_ca_topic_score_gemma":0.0003935572,"teacher_disagreement_score":0.8746567,"about_ca_system_score_codex":0.00008136023,"about_ca_system_score_gemma":0.000016596528,"threshold_uncertainty_score":0.73499405},"labels":[],"label_agreement":null},{"id":"W2074356853","doi":"10.1007/s00330-005-0129-6","title":"Endoleakage after endovascular treatment of abdominal aortic aneurysms: diagnosis, significance and treatment","year":2006,"lang":"en","type":"review","venue":"European Radiology","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre","funders":"","keywords":"Medicine; Leak; Abdominal aortic aneurysm; Interventional radiology; Radiology; Complication; Neuroradiology; Endovascular treatment; Surgery; Aortic aneurysm; Aneurysm","score_opus":0.03302693816322114,"score_gpt":0.29942152597220023,"score_spread":0.26639458780897907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074356853","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":[0.01184268,0.9831304,0.00002002453,0.000019007446,0.0001764145,0.002607247,0.00014527864,0.00010219296,0.00195678],"genre_scores_gemma":[0.009021592,0.9863595,0.0006176548,0.00003440864,0.0004681483,0.00093282183,0.00037475658,0.00020475709,0.0019863718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954231,0.0012464311,0.0013405414,0.0011618538,0.00021342494,0.0006146557],"domain_scores_gemma":[0.99749213,0.00043065983,0.0006225584,0.0011290235,0.000043856486,0.0002817572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001705698,0.00104469,0.0038741226,0.00029351568,0.00005951872,0.000012926885,0.00014911414,0.00023218934,0.00014318568],"category_scores_gemma":[0.000055887263,0.0007042145,0.0011530215,0.0001804288,0.0004917552,0.00003569052,0.0000588569,0.00017182391,0.0001763798],"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":[0.00017301444,0.0015497337,0.0058761905,0.0030513012,0.0019093098,0.017648289,0.00014610158,7.1005917e-7,0.0000052162072,0.0000073308647,0.00023058338,0.9694022],"study_design_scores_gemma":[0.0036488883,0.007070347,0.007361032,0.0017469829,0.011587446,0.00859826,0.0000121105595,0.000004328695,0.000023884397,0.0000024895094,0.9594365,0.00050778093],"about_ca_topic_score_codex":0.00009648603,"about_ca_topic_score_gemma":0.0000076071933,"teacher_disagreement_score":0.9688944,"about_ca_system_score_codex":0.0006280631,"about_ca_system_score_gemma":0.00022642588,"threshold_uncertainty_score":0.9995409},"labels":[],"label_agreement":null},{"id":"W2075458235","doi":"10.1007/s00330-015-3640-4","title":"Association of dynamic susceptibility contrast enhanced MR Perfusion parameters with prognosis in elderly patients with glioblastomas","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"University of Toronto; American Society of Neuroradiology","keywords":"Medicine; Neuroradiology; Perfusion; Internal medicine; Neurology; Glioblastoma; Subgroup analysis; Cerebral blood volume; Interventional radiology; Radiology; Neurosurgery; Perfusion scanning; Oncology; Confidence interval","score_opus":0.008977236112339854,"score_gpt":0.2498205632504039,"score_spread":0.24084332713806403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075458235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98651814,0.000014631976,0.011378716,0.00022127971,0.000016220149,0.0007575446,0.000009846634,0.00006726271,0.001016335],"genre_scores_gemma":[0.9844675,0.000011006413,0.015238389,0.000051672734,0.000010583707,0.00003250295,0.000059088776,0.000023402721,0.00010582422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998987,0.00016324587,0.0002499189,0.00026866206,0.00013930672,0.00019185251],"domain_scores_gemma":[0.9992151,0.000060980703,0.00021943694,0.00020773183,0.00021496277,0.00008175639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028445252,0.00011734522,0.00027981304,0.0000742893,0.000020860389,0.0000028990803,0.00006912003,0.00004989963,0.0000070347633],"category_scores_gemma":[0.00011245595,0.00008460654,0.000025205423,0.00019459511,0.0000998707,0.00004669564,0.000019524477,0.00015940194,0.0000063458497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019016378,0.00082889956,0.9599449,0.000029745115,0.000036140187,0.000017888731,0.00073563354,0.0002788881,0.01582754,0.000055128072,0.0003106613,0.020032963],"study_design_scores_gemma":[0.0057769157,0.008550012,0.9789278,0.00012827641,0.00007755408,0.000017792072,0.00017887387,0.00029154215,0.00546375,0.00006215376,0.00032772854,0.00019760488],"about_ca_topic_score_codex":0.000014939678,"about_ca_topic_score_gemma":0.00013533761,"teacher_disagreement_score":0.019835357,"about_ca_system_score_codex":0.00019988611,"about_ca_system_score_gemma":0.00004169995,"threshold_uncertainty_score":0.34501547},"labels":[],"label_agreement":null},{"id":"W2075725033","doi":"10.1007/s00330-009-1524-1","title":"Ultrasound demonstration of distal biceps tendon bifurcation: normal and abnormal findings","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Elbow and Forearm Trauma Treatment","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biceps; Medicine; Tendon; Cadaveric spasm; Tears; Anatomy; Cadaver; Ultrasound; Biceps tendon; Radiology; Surgery","score_opus":0.011371807822598091,"score_gpt":0.2360497622502586,"score_spread":0.2246779544276605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075725033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94826984,0.000288761,0.00027702487,0.00042912795,0.00005205939,0.0001334406,0.0000077894365,0.00003485038,0.050507113],"genre_scores_gemma":[0.998366,0.00011720177,0.00074116903,0.00018769664,0.00013577247,0.0000010683516,0.00010595955,0.000009026637,0.0003361344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931157,0.0000727373,0.00022105867,0.00016781515,0.00006949721,0.00015733311],"domain_scores_gemma":[0.9996511,0.00004571858,0.000056761928,0.00013367824,0.00003101345,0.00008176461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015847753,0.000104668565,0.00018307578,0.00007438783,0.000055180866,0.0000064413543,0.000040414325,0.000038922633,0.000045470057],"category_scores_gemma":[0.000024483264,0.000084087864,0.00004360183,0.00007234285,0.00013906373,0.000063669904,0.000010452308,0.000097375385,0.000020264759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084501144,0.00068800134,0.68246615,0.00007732732,0.0002097,0.00051464984,0.0025147616,0.000014478461,0.22664066,0.020161044,0.0023013998,0.06356685],"study_design_scores_gemma":[0.0013083896,0.0015212476,0.98703325,0.000019950103,0.000074020914,0.0029128855,0.00007195603,0.000017139966,0.006073124,0.000065680164,0.00081930787,0.00008304638],"about_ca_topic_score_codex":0.0000050721087,"about_ca_topic_score_gemma":0.0000016173523,"teacher_disagreement_score":0.30456713,"about_ca_system_score_codex":0.000018580811,"about_ca_system_score_gemma":0.000018396384,"threshold_uncertainty_score":0.34290037},"labels":[],"label_agreement":null},{"id":"W2077119849","doi":"10.1007/s00330-014-3112-2","title":"Incidental pancreatic cysts: natural history and diagnostic accuracy of a limited serial pancreatic cyst MRI protocol","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Centre Hospitalier Régional Universitaire de Montpellier","keywords":"Medicine; Lesion; Gadolinium; Radiology; Magnetic resonance imaging; Neuroradiology; Cyst; Asymptomatic; Pancreas; Pancreatic cancer; Natural history; Population; Nuclear medicine; Pathology; Internal medicine; Cancer; Neurology","score_opus":0.020318642857615136,"score_gpt":0.29986703499888323,"score_spread":0.2795483921412681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077119849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96174526,0.00051988405,0.00014420075,0.0002849841,0.00026520604,0.018032411,0.000008598975,0.000092446906,0.018907],"genre_scores_gemma":[0.9917068,0.00010945828,0.0014680334,0.0005294754,0.0006769187,0.003946707,0.00006401499,0.000060971077,0.0014376589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99652916,0.0015947196,0.00068238185,0.00046649243,0.00024095946,0.00048630396],"domain_scores_gemma":[0.99576384,0.0030036825,0.0003114423,0.0005197028,0.00013418063,0.00026714566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011383207,0.00028299712,0.0010704678,0.00022340746,0.00008231061,0.000008844459,0.0002255337,0.00012646127,0.00031825883],"category_scores_gemma":[0.0078518065,0.0002255019,0.00010638954,0.00012984245,0.00081244035,0.00008643703,0.0001700062,0.000457376,0.00013011505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005302689,0.0007401485,0.90406615,0.0017915237,0.0008572947,0.0018482301,0.0028170338,0.0000039319852,0.046959165,0.0017151535,0.027560493,0.0063382],"study_design_scores_gemma":[0.011270952,0.004183953,0.9369069,0.00046800353,0.0005772835,0.0043422272,0.00016344001,0.0016610359,0.00016173923,0.000110032364,0.039793573,0.00036090187],"about_ca_topic_score_codex":0.000100402096,"about_ca_topic_score_gemma":0.0000138649175,"teacher_disagreement_score":0.04679743,"about_ca_system_score_codex":0.00026414718,"about_ca_system_score_gemma":0.00023542871,"threshold_uncertainty_score":0.9399913},"labels":[],"label_agreement":null},{"id":"W2078047942","doi":"10.1007/s00330-007-0677-z","title":"Use of multidetector computed tomography for the assessment of acute chest pain: a consensus statement of the North American Society of Cardiac Imaging and the European Society of Cardiac Radiology","year":2007,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Humber River Regional Hospital; McMaster University","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Cardiac imaging; Multidetector computed tomography; Radiology; Computed tomography; Chest pain; Statement (logic); Consensus conference; Magnetic resonance imaging; Appropriateness criteria; Ultrasound; Cardiac magnetic resonance; Neurology; Cardiology; Internal medicine","score_opus":0.019200255632991263,"score_gpt":0.27715374424677375,"score_spread":0.2579534886137825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078047942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864669,0.0023756346,0.006923367,0.0013489709,0.00041969444,0.001429465,0.00077162636,0.000024838238,0.00023953851],"genre_scores_gemma":[0.9882909,0.00095361884,0.010011061,0.0004941048,0.00015184483,0.000006521526,0.00003601473,0.00004526734,0.000010633932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957691,0.0023734139,0.0009941935,0.00029944358,0.00022383506,0.00034003187],"domain_scores_gemma":[0.9916829,0.005989486,0.0010949969,0.00071989035,0.00044136302,0.000071369934],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0054363133,0.00024116233,0.0011822586,0.000060587874,0.0000919161,0.0000046332507,0.00024022697,0.000027358437,7.7489653e-7],"category_scores_gemma":[0.00033803642,0.00013609487,0.0012185425,0.00036063767,0.004224794,0.000015514172,0.00021451425,0.0002723906,9.349562e-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":[0.00036577167,0.00013269296,0.93534076,0.00036248655,0.004338726,0.0000038087037,0.002854658,0.00029534503,0.025883479,0.000066245535,0.015973974,0.014382078],"study_design_scores_gemma":[0.0018560337,0.00038387824,0.9857171,0.000070280876,0.0012440615,0.00002687033,0.0011735146,0.0020033398,0.0019870643,0.000002150868,0.0054180427,0.000117663025],"about_ca_topic_score_codex":0.0002681909,"about_ca_topic_score_gemma":0.000004770751,"teacher_disagreement_score":0.050376367,"about_ca_system_score_codex":0.000033682503,"about_ca_system_score_gemma":0.00009961606,"threshold_uncertainty_score":0.99848515},"labels":[],"label_agreement":null},{"id":"W2079799054","doi":"10.1007/s00330-009-1689-7","title":"Does joint alignment affect the T2 values of cartilage in patients with knee osteoarthritis?","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"National Center for Research Resources; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Max Kade Foundation; Radiological Society of North America","keywords":"Valgus; Medicine; Interquartile range; Osteoarthritis; Cartilage; Knee Joint; Nuclear medicine; Internal medicine; Orthodontics; Surgery; Anatomy; Pathology","score_opus":0.0072097972765910534,"score_gpt":0.2098326795209966,"score_spread":0.20262288224440556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079799054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990904,0.00029895874,0.0000074303275,0.00037362578,0.00019071938,0.00075080903,0.000008974299,0.00003550411,0.007430009],"genre_scores_gemma":[0.99871093,0.00001903749,0.00019068673,0.00044248486,0.000095020754,0.000008150937,0.000037797337,0.000021388632,0.00047451872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998714,0.00034544885,0.00026986896,0.00024641544,0.00015446736,0.0002697812],"domain_scores_gemma":[0.9994228,0.000037658177,0.00009705396,0.00033903614,0.000035049026,0.00006843132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023678996,0.00016686447,0.00035606162,0.00008004254,0.00004212561,0.0000059621407,0.0000743263,0.00003628988,0.000048369035],"category_scores_gemma":[0.00003119471,0.000078160156,0.00007048201,0.000087471395,0.0001124341,0.0000376805,0.000025108608,0.000115512055,0.00003483324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050687315,0.0025924884,0.47671086,0.00010362577,0.0001844183,0.0026267732,0.0074333213,0.00003686562,0.08853788,0.0033767375,0.0017801063,0.4115482],"study_design_scores_gemma":[0.018338658,0.045652047,0.90719295,0.00036305786,0.00014293575,0.00009528656,0.0002623295,0.0000015379943,0.025831472,0.00028038112,0.0015843033,0.00025507068],"about_ca_topic_score_codex":0.0000021282635,"about_ca_topic_score_gemma":0.000009404488,"teacher_disagreement_score":0.43048206,"about_ca_system_score_codex":0.00003698365,"about_ca_system_score_gemma":0.000017877093,"threshold_uncertainty_score":0.31872788},"labels":[],"label_agreement":null},{"id":"W2081473527","doi":"10.1007/s00330-010-1855-y","title":"Multidetector computed tomography with triple-bolus contrast medium administration protocol for preoperative anatomical and functional assessment of potential living renal donors","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Ultrasound; Contrast medium; Computed tomography; Bolus (digestion); Multidetector computed tomography; Protocol (science); Nuclear medicine; Neurology; Surgery; Pathology","score_opus":0.016753781368242845,"score_gpt":0.29175626044641895,"score_spread":0.2750024790781761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081473527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93820727,0.00000654804,0.035236206,0.00017557098,0.0001554527,0.02587908,0.000022124479,0.000051841762,0.00026591684],"genre_scores_gemma":[0.9798167,8.1216353e-7,0.014131851,0.000051896,0.0003361595,0.005559496,0.000043192078,0.000018272918,0.000041636566],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988438,0.00026579766,0.00029897006,0.0003012386,0.0001175723,0.00017263983],"domain_scores_gemma":[0.99930024,0.00015261633,0.00014177893,0.00014019042,0.00016784268,0.000097358636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044337168,0.00015092542,0.00032686442,0.00010533048,0.00007915244,0.000014389265,0.000055653087,0.00006939187,0.00003608388],"category_scores_gemma":[0.0001289964,0.00010046373,0.00009067114,0.00007366776,0.00032248895,0.000048893296,0.000031754145,0.0002624997,6.5353686e-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":[0.005375357,0.00066486443,0.17888157,0.00029977065,0.0006481098,0.00022717321,0.0003017193,0.00011438411,0.8081915,0.00072163885,0.0009115986,0.0036623315],"study_design_scores_gemma":[0.005719315,0.0033324822,0.9776662,0.00006659786,0.000081442915,0.0010417139,0.000044677956,0.0032399446,0.008209402,0.0000067641818,0.0004670875,0.00012437295],"about_ca_topic_score_codex":0.0000028752638,"about_ca_topic_score_gemma":0.00001486411,"teacher_disagreement_score":0.7999821,"about_ca_system_score_codex":0.000009639706,"about_ca_system_score_gemma":0.00012954474,"threshold_uncertainty_score":0.4096792},"labels":[],"label_agreement":null},{"id":"W2082092205","doi":"10.1007/s00330-009-1692-z","title":"Feasibility of contrast material volume reduction in coronary artery imaging using 320-slice volume CT","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Neuroradiology; Image quality; Ultrasound; Radiology; Image noise; Nuclear medicine; Interventional radiology; Cardiac imaging; Heart rate; Ejection fraction; Cardiology; Blood pressure; Heart failure; Neurology","score_opus":0.01942504894087803,"score_gpt":0.2726954722912632,"score_spread":0.25327042335038513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082092205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374247,0.00035634972,0.0002991304,0.0005217147,0.0010105575,0.00025162607,0.000023300669,0.00006904609,0.003725784],"genre_scores_gemma":[0.99821305,0.000016567721,0.0005759875,0.00033058337,0.00065864535,7.674415e-7,0.000059206697,0.00002413946,0.000121048724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839455,0.0004543798,0.0004335143,0.00032841176,0.00009230311,0.0002968213],"domain_scores_gemma":[0.9993459,0.000043853743,0.00012122566,0.00033309121,0.000069722984,0.000086203225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059629604,0.00015195474,0.00044222455,0.0001365344,0.00003682904,0.000011179953,0.00007317458,0.000025376597,0.00007317543],"category_scores_gemma":[0.00027041018,0.00015798006,0.00009822316,0.00011608426,0.00020065552,0.000079862846,0.000028488425,0.00019776795,0.000036193964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063335383,0.0002430954,0.8466582,0.000035509023,0.00002890855,0.0015891775,0.00032868073,0.00019054447,0.13869679,0.000023159977,0.0046135406,0.0069590774],"study_design_scores_gemma":[0.0017239202,0.00019117749,0.98743886,0.00007590029,0.00007752947,0.008159925,0.00011774735,0.0010040407,0.00052800844,0.000036647663,0.0005089418,0.00013732807],"about_ca_topic_score_codex":0.00005643749,"about_ca_topic_score_gemma":8.5014915e-7,"teacher_disagreement_score":0.14078067,"about_ca_system_score_codex":0.00012792369,"about_ca_system_score_gemma":0.00006142771,"threshold_uncertainty_score":0.644224},"labels":[],"label_agreement":null},{"id":"W2085672498","doi":"10.1007/s00330-014-3420-6","title":"Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":167,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Radiology; Malignancy; Neuroradiology; Lung cancer; Receiver operating characteristic; Mediastinum; Biopsy; Metastasis; Lung; Histopathology; Cancer; Pathology; Internal medicine","score_opus":0.006410833204099926,"score_gpt":0.2489018949639221,"score_spread":0.24249106175982216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085672498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957212,0.0010375435,0.0010079124,0.0012898913,0.00006689071,0.00014692837,0.00001074985,0.000024233797,0.0006946443],"genre_scores_gemma":[0.99695426,0.00030000584,0.0009379951,0.0015239452,0.00008630454,0.0000052738487,0.00010193624,0.000031566393,0.00005868143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838114,0.00047811464,0.0002629397,0.00043694966,0.00014670473,0.00029415346],"domain_scores_gemma":[0.9993136,0.00016993601,0.00012819763,0.00015917537,0.000043052474,0.0001860533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045224474,0.00019721565,0.0005487534,0.00024011492,0.000071601586,0.000020019917,0.00008697716,0.000027569904,0.000034464814],"category_scores_gemma":[0.00018754875,0.00013567253,0.000037299527,0.00019873562,0.0002712765,0.00003472245,0.00006669989,0.00030551766,0.0000010754715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020974755,0.00005332691,0.9840712,0.00007995879,0.00035063317,0.00011349689,0.0006576918,0.00009248743,0.00016957628,0.00012487495,0.00010603511,0.013970993],"study_design_scores_gemma":[0.0027927414,0.00026400026,0.95910084,0.00018981757,0.00053203874,0.000047043115,0.00005396095,0.036725737,0.0000017928613,0.00000870722,0.00013010773,0.00015318795],"about_ca_topic_score_codex":0.00011769676,"about_ca_topic_score_gemma":0.000039536,"teacher_disagreement_score":0.03663325,"about_ca_system_score_codex":0.000046950663,"about_ca_system_score_gemma":0.00003385951,"threshold_uncertainty_score":0.5532565},"labels":[],"label_agreement":null},{"id":"W2090336783","doi":"10.1007/s00330-001-1169-1","title":"Gluteal mass in a bodybuilder: radiological depiction of a complication of anabolic steroid use","year":2001,"lang":"en","type":"article","venue":"European Radiology","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Anabolic steroid; Anabolism; Surgery; Gluteal region; Soft tissue; Buttocks; Complication; Radiology; Internal medicine","score_opus":0.03823374107220782,"score_gpt":0.26507154410360434,"score_spread":0.22683780303139653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090336783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995253,0.0003677036,0.0011186705,0.00027997777,0.00010577944,0.00015277609,0.0000033081471,0.00003801634,0.0026807478],"genre_scores_gemma":[0.9983761,0.00030049816,0.0007176893,0.00015453946,0.00020089277,0.0000031933175,0.000024727105,0.000014919359,0.00020745496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852824,0.0005452703,0.00044594734,0.00021725478,0.00007058341,0.00019272693],"domain_scores_gemma":[0.9992917,0.0001551013,0.00014863934,0.0002895224,0.000052622447,0.00006239241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005051648,0.00009944874,0.00042403289,0.00018931809,0.000016273985,0.0000023307061,0.00008172269,0.000056930916,0.000023647817],"category_scores_gemma":[0.00018052036,0.000085505235,0.00008059255,0.00017335033,0.00013862563,0.000040840812,0.00002215243,0.00016499602,0.000010569145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004467021,0.00018533996,0.9029214,0.00003264964,0.000041420466,0.00023848462,0.00023673981,0.0000810021,0.08806552,0.0005081422,0.0012284565,0.006014143],"study_design_scores_gemma":[0.0012176537,0.0002542158,0.99199975,0.0000483323,0.000020944886,0.0003883445,0.000035792735,0.00034135752,0.0003677999,0.000029506495,0.0052241664,0.00007216595],"about_ca_topic_score_codex":0.00008365316,"about_ca_topic_score_gemma":0.000010998738,"teacher_disagreement_score":0.08907832,"about_ca_system_score_codex":0.000031209333,"about_ca_system_score_gemma":0.00002303372,"threshold_uncertainty_score":0.34868023},"labels":[],"label_agreement":null},{"id":"W2091561554","doi":"10.1007/s00330-010-1789-4","title":"Reply to Letter to the Editor re: Comparison of dual-source CT angiography and MR angiography in preoperative evaluation of intra- and extracranial vessel anatomy and pathology prior to carotid endartherectomy","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Angiography; Radiology; Interventional radiology; Neurology","score_opus":0.009802515925326523,"score_gpt":0.27402146388948107,"score_spread":0.2642189479641545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091561554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948999,0.0008068044,0.00008479944,0.002275673,0.00038634025,0.0012912602,0.000030056217,0.000015855043,0.0002092947],"genre_scores_gemma":[0.9965747,0.000019000896,0.0005092626,0.0019361493,0.00087658333,0.000041576815,0.0000126769555,0.00002373181,0.0000063138905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979209,0.00087675295,0.0003665056,0.0004299546,0.00019411648,0.00021177826],"domain_scores_gemma":[0.99908376,0.00014321631,0.000084203704,0.00035316753,0.00015116994,0.00018450804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011976637,0.00017384661,0.00045007528,0.0004125582,0.0000573274,0.000012905075,0.000084204104,0.00004064243,0.00002856229],"category_scores_gemma":[0.00027749813,0.00013120164,0.00013515403,0.00037420774,0.0002566751,0.000041230534,0.00008381091,0.00020829293,0.0000025054242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030205303,0.00015447017,0.910116,0.00005209826,0.00021580752,0.000016330807,0.01179292,0.00003667259,0.036242474,0.000020039117,0.028854242,0.012196902],"study_design_scores_gemma":[0.0016871238,0.00097138557,0.97305065,0.000047063324,0.00025344605,0.00017701942,0.00065610337,0.000033038574,0.0013719366,0.000005035557,0.021606976,0.0001402269],"about_ca_topic_score_codex":0.000051811552,"about_ca_topic_score_gemma":0.00012820965,"teacher_disagreement_score":0.06293465,"about_ca_system_score_codex":0.000006910756,"about_ca_system_score_gemma":0.00002905032,"threshold_uncertainty_score":0.53502476},"labels":[],"label_agreement":null},{"id":"W2092151623","doi":"10.1007/s00330-015-3619-1","title":"Fractional flow reserve derived from coronary CT angiography in stable coronary disease: a new standard in non-invasive testing?","year":2015,"lang":"en","type":"review","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"Edwards Lifesciences","keywords":"Fractional flow reserve; Medicine; Coronary artery disease; Gold standard (test); Cardiology; Coronary flow reserve; Radiology; Revascularization; Internal medicine; Neuroradiology; Context (archaeology); Angiography; Coronary angiography; Myocardial infarction","score_opus":0.05287171658887387,"score_gpt":0.31487369407029203,"score_spread":0.2620019774814182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092151623","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":[0.0030504577,0.9899764,0.00009099797,0.00010879635,0.0008281346,0.0010666976,0.0015210995,0.00010168832,0.003255737],"genre_scores_gemma":[0.001994183,0.9869382,0.0032162918,0.00041657954,0.0014382472,0.000057419875,0.0054283305,0.00021439945,0.0002963671],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958258,0.0013837585,0.00089235243,0.0009210966,0.00035468335,0.00062228495],"domain_scores_gemma":[0.9956063,0.002518903,0.00032382552,0.00075225334,0.00016323359,0.00063545187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007842563,0.00060727797,0.0024436996,0.0007410783,0.00005092777,0.000027235614,0.00030162642,0.00013659136,0.00012402715],"category_scores_gemma":[0.0028462177,0.0005628018,0.00070589833,0.00079841237,0.00022053595,0.00008970737,0.0002356138,0.0011222475,0.00021523098],"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":[0.000944622,0.0002784052,0.4854477,0.0023033803,0.00075397344,0.05673342,0.00017014974,0.00023824425,0.0000026554076,0.0000045628676,0.13731404,0.31580883],"study_design_scores_gemma":[0.0029914323,0.0003214556,0.3474024,0.010309745,0.0010407134,0.0011418342,0.00003339626,0.000030675707,1.322104e-7,0.00009427511,0.63612574,0.00050817704],"about_ca_topic_score_codex":0.0005327681,"about_ca_topic_score_gemma":0.000078026125,"teacher_disagreement_score":0.49881172,"about_ca_system_score_codex":0.00048515486,"about_ca_system_score_gemma":0.0026958995,"threshold_uncertainty_score":0.99968237},"labels":[],"label_agreement":null},{"id":"W2094232816","doi":"10.1007/s00330-009-1351-4","title":"Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods","year":2009,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Saint-Luc; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Steatosis; Medicine; Magnetic resonance imaging; Neuroradiology; Nuclear medicine; Liver steatosis; Histopathology; Ultrasound; Fatty liver; In vivo magnetic resonance spectroscopy; Radiology; Pathology; Internal medicine; Neurology","score_opus":0.05028596876333306,"score_gpt":0.3493889146110121,"score_spread":0.29910294584767905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094232816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978925,0.018029513,0.00020226475,0.00011994557,0.00003716119,0.00018659706,0.000005658243,0.000015667894,0.00247819],"genre_scores_gemma":[0.98546433,0.0006403228,0.013461203,0.00028232308,0.000054746168,0.000001513038,0.000012715701,0.000012184662,0.00007065267],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99894077,0.00047752343,0.0001868378,0.00021488928,0.000054214703,0.00012573917],"domain_scores_gemma":[0.99953043,0.00009968232,0.00007395711,0.00016737884,0.000053722066,0.00007484249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022351218,0.00010097754,0.0002453357,0.00008384867,0.00006118511,0.000006391646,0.000039844952,0.0000279375,0.00004382215],"category_scores_gemma":[0.000053107357,0.00008398287,0.000053916247,0.000076288445,0.00014415082,0.00003054612,0.000017867062,0.000052511252,0.000009292698],"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":[0.00036161824,0.0013147139,0.29603767,0.00018743235,0.00028081474,0.002332328,0.004289024,0.000013593096,0.310042,0.013505158,0.0012129926,0.37042263],"study_design_scores_gemma":[0.0012852761,0.0019599209,0.9878137,0.000092514696,0.00029489442,0.00019061627,0.00007608502,0.00015397863,0.007369776,0.0000812365,0.0005912782,0.00009071634],"about_ca_topic_score_codex":0.000027684831,"about_ca_topic_score_gemma":0.0000012248796,"teacher_disagreement_score":0.69177604,"about_ca_system_score_codex":0.000024570614,"about_ca_system_score_gemma":0.00001772576,"threshold_uncertainty_score":0.34247223},"labels":[],"label_agreement":null},{"id":"W2096272401","doi":"10.1007/s00330-012-2418-1","title":"Arterial input function calculation in dynamic contrast-enhanced MRI: an in vivo validation study using co-registered contrast-enhanced ultrasound imaging","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Lantheus Medical Imaging","keywords":"Imaging phantom; Ultrasound; Contrast-enhanced ultrasound; Magnetic resonance imaging; Medicine; In vivo; Biomedical engineering; Intravascular ultrasound; Contrast (vision); Neuroradiology; Independent component analysis; Dynamic contrast-enhanced MRI; Radiology; Nuclear medicine; Artificial intelligence; Computer science; Neurology","score_opus":0.031235847680536517,"score_gpt":0.32504067336905557,"score_spread":0.29380482568851907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096272401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740438,0.0001503496,0.02139833,0.00011136088,0.001500418,0.0015553609,0.000015678692,0.00010385653,0.0011208318],"genre_scores_gemma":[0.9982323,0.000049343314,0.00032986762,0.00030101984,0.00077095884,0.00005832759,0.00014416536,0.000081960745,0.000032072632],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960203,0.0016172824,0.0008747254,0.0006196326,0.00022353562,0.0006445282],"domain_scores_gemma":[0.9986446,0.00024376903,0.00034903083,0.0004899504,0.00009943844,0.00017321127],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014508506,0.0003199525,0.00064292375,0.00042508185,0.000073672985,0.000041829277,0.00013477825,0.000097478696,0.00021909412],"category_scores_gemma":[0.00021898528,0.0003379652,0.00006693883,0.00031821345,0.00013290902,0.00054184423,0.000026942573,0.00034693183,0.000040214476],"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":[0.0011166428,0.0006561834,0.2429814,0.000027246437,0.00005067097,0.00004068219,0.003597158,0.0010611679,0.7483528,0.0000091011225,0.00010540861,0.0020015244],"study_design_scores_gemma":[0.012164107,0.0007314504,0.9639166,0.00017276709,0.00017064562,0.00017135945,0.0011423056,0.0037177345,0.017131899,0.000017194838,0.0002323503,0.00043155876],"about_ca_topic_score_codex":0.00018422349,"about_ca_topic_score_gemma":0.00030104516,"teacher_disagreement_score":0.7312209,"about_ca_system_score_codex":0.0006969209,"about_ca_system_score_gemma":0.00006623328,"threshold_uncertainty_score":0.99990726},"labels":[],"label_agreement":null},{"id":"W2096932146","doi":"10.1007/s00330-008-1169-5","title":"Cardiac MRI and CT features of inheritable and congenital conditions associated with sudden cardiac death","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Coronary artery disease; Sudden cardiac death; Neuroradiology; Cardiology; Hypertrophic cardiomyopathy; Internal medicine; Interventional radiology; Radiology; Cardiomyopathy; Cardiac imaging; Ventricular tachycardia; Sudden death; Risk stratification; Heart failure; Neurology","score_opus":0.009818182082768549,"score_gpt":0.22035317635525023,"score_spread":0.21053499427248168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096932146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726406,0.010081614,0.000008625703,0.00006217891,0.000118032316,0.00039682572,0.00010499849,0.000057627283,0.01652952],"genre_scores_gemma":[0.9976488,0.0011129548,0.00019881272,0.00006260128,0.00012931647,0.0000080189575,0.0001365984,0.00004496103,0.0006579617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986305,0.000534695,0.00016316572,0.00029678427,0.00013480554,0.00024004246],"domain_scores_gemma":[0.99915874,0.00021411259,0.00006672081,0.0002937348,0.000118565935,0.00014810763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040937707,0.0001734791,0.0007542924,0.00009231678,0.00009904189,0.000007018988,0.000049285594,0.000046317684,0.00001046942],"category_scores_gemma":[0.00027222614,0.00014398065,0.00014011524,0.00012448181,0.00048118687,0.000053762997,0.00006036646,0.00019874153,0.000007086421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000513516,0.00014997518,0.93316317,0.00011336733,0.0061349883,0.005464052,0.0013678224,0.00002413829,0.01832197,0.0004062034,0.03316721,0.0011736031],"study_design_scores_gemma":[0.0017586909,0.00050350506,0.99153394,0.000051730545,0.00065247156,0.0026105975,0.000093058814,0.000002733472,0.00057015754,0.000005642643,0.002059793,0.00015766898],"about_ca_topic_score_codex":0.0000790945,"about_ca_topic_score_gemma":0.0000046644464,"teacher_disagreement_score":0.058370795,"about_ca_system_score_codex":0.000026339554,"about_ca_system_score_gemma":0.000052977874,"threshold_uncertainty_score":0.5871361},"labels":[],"label_agreement":null},{"id":"W2100032463","doi":"10.1007/s00330-007-0775-y","title":"A rare cause of anaemia (2008: 3b)","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Gastrointestinal disorders and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Inflammatory fibroid polyp; Medicine; Stomach; Gastrointestinal tract; Endoscopy; Interventional radiology; Radiology; Neuroradiology; Antrum; Computed tomography; Lesion; Gastric antrum; Pathology; Gastroenterology; Internal medicine","score_opus":0.029024153725512796,"score_gpt":0.25214323863273613,"score_spread":0.22311908490722335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100032463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96518683,0.0005192075,0.0000755244,0.00017367065,0.000059558057,0.00010760011,0.000006532728,0.000037697188,0.033833392],"genre_scores_gemma":[0.9963833,0.000112946786,0.0013375944,0.00024666416,0.000060532064,0.0000013444536,0.00003370638,0.000021305099,0.0018026263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993178,0.00010158354,0.00017718265,0.0001653334,0.000059662554,0.00017842466],"domain_scores_gemma":[0.9995601,0.000025413865,0.000060725684,0.00021987097,0.000045054905,0.00008883884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053513308,0.000099334306,0.00024023071,0.00006291869,0.00003777075,7.572673e-7,0.000060036833,0.00001979165,0.0001467872],"category_scores_gemma":[0.00009271816,0.000078646335,0.00006582504,0.000082507766,0.0001545552,0.000015154028,0.00002548509,0.000092946,0.00020626039],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001825442,0.00021441703,0.96917456,0.000022489292,0.000105758016,0.0077923415,0.00027511996,0.000005604106,0.002152518,0.000109614535,0.018821588,0.0011434347],"study_design_scores_gemma":[0.0017681892,0.0010903776,0.98444974,0.00002944229,0.000055165583,0.009709217,0.00002648797,0.000009955816,0.00014359847,0.000012237282,0.0026467869,0.00005882477],"about_ca_topic_score_codex":0.000017963028,"about_ca_topic_score_gemma":0.000001978338,"teacher_disagreement_score":0.032030765,"about_ca_system_score_codex":0.000015480842,"about_ca_system_score_gemma":0.00003364739,"threshold_uncertainty_score":0.32071045},"labels":[],"label_agreement":null},{"id":"W2103009543","doi":"10.1007/s00330-014-3170-5","title":"Diagnostic accuracy of dual-echo (in- and opposed-phase) T1-weighted gradient recalled echo for detection and grading of hepatic iron using quantitative and visual assessment","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Neuroradiology; Magnetic resonance imaging; Subtraction; Radiology; Diagnostic accuracy; Nuclear medicine; Neurology; Mathematics","score_opus":0.02048344495141685,"score_gpt":0.33044695622710446,"score_spread":0.3099635112756876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103009543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99030834,0.00091594644,0.0077467957,0.00007243914,0.000113995164,0.000626368,0.000004976108,0.000014490552,0.00019664061],"genre_scores_gemma":[0.99653167,0.0011406968,0.0022092771,0.00004216033,0.000028150063,0.000006068426,0.000011514328,0.000025272162,0.000005195405],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998552,0.00047147964,0.0004305241,0.0002808217,0.000066471024,0.00019866598],"domain_scores_gemma":[0.99818534,0.0013560121,0.00022613026,0.000092707414,0.000048555972,0.00009124019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067015644,0.00014889991,0.0004675017,0.00020576385,0.00006785048,0.0000060251923,0.000025512589,0.00007607849,0.0000029320222],"category_scores_gemma":[0.0010015604,0.00012371667,0.00003755251,0.000102140344,0.00021707772,0.000047827787,0.0000368531,0.00015724814,2.3300066e-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":[0.0023719296,0.001106791,0.075268246,0.0022901199,0.00044315573,0.00017042439,0.009322402,0.00016235556,0.7366495,0.0012260592,0.00004247451,0.17094652],"study_design_scores_gemma":[0.03624783,0.024894685,0.4807577,0.0017157794,0.0009273134,0.0011987588,0.0042882776,0.43520698,0.012685625,0.0010153912,0.00031896503,0.00074268493],"about_ca_topic_score_codex":0.000041975694,"about_ca_topic_score_gemma":0.00001175288,"teacher_disagreement_score":0.7239639,"about_ca_system_score_codex":0.000035211506,"about_ca_system_score_gemma":0.000022107219,"threshold_uncertainty_score":0.50450194},"labels":[],"label_agreement":null},{"id":"W2119178554","doi":"10.1007/s00330-008-1203-7","title":"Coronary CT angiography using 64 detector rows: methods and design of the multi-centre trial CORE-64","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Medicine; Radiology; Coronary angiography; Angiography; Spiral computed tomography; Nuclear medicine; Computed tomography; Internal medicine; Myocardial infarction","score_opus":0.09515037826621814,"score_gpt":0.3375379471871843,"score_spread":0.24238756892096613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119178554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682606,0.005612806,0.023967031,0.00009291072,0.00091007224,0.00056736503,0.000013175809,0.00005303022,0.0005230247],"genre_scores_gemma":[0.9266983,0.00017861498,0.07223667,0.00042097905,0.00032787852,0.0000015905841,0.0000050275776,0.000038960625,0.00009196916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978132,0.0013855982,0.00026264534,0.00023762805,0.000082322935,0.00021857121],"domain_scores_gemma":[0.99868107,0.00073001,0.000117880714,0.00032608747,0.000051460713,0.000093502706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062642427,0.0001458316,0.00038556143,0.00010291035,0.000101802514,0.0000034138736,0.000094586874,0.000031958767,0.000013323905],"category_scores_gemma":[0.00089840154,0.0001035499,0.00026727078,0.00017844563,0.0004733928,0.00001816117,0.000074122036,0.00017635174,0.0000051910833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0109985955,0.0005851026,0.87820804,0.0000865405,0.0010184596,0.0025595177,0.0025127656,0.000803817,0.07159312,0.000055208737,0.0142570045,0.017321818],"study_design_scores_gemma":[0.051330604,0.00092021126,0.924399,0.00012574047,0.0009452166,0.009436843,0.00017227838,0.0033300046,0.0030337314,0.000024915986,0.005920355,0.0003610951],"about_ca_topic_score_codex":0.000019955727,"about_ca_topic_score_gemma":3.350715e-7,"teacher_disagreement_score":0.068559386,"about_ca_system_score_codex":0.000017933065,"about_ca_system_score_gemma":0.00005740047,"threshold_uncertainty_score":0.42226422},"labels":[],"label_agreement":null},{"id":"W2119378780","doi":"10.1007/s00330-015-4039-y","title":"MRI evaluation of small (&lt;4cm) solid renal masses: multivariate modeling improves diagnostic accuracy for angiomyolipoma without visible fat compared to univariate analysis","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"Ottawa Hospital Research Institute; University of Ottawa","keywords":"Medicine; Univariate analysis; Neuroradiology; Nuclear medicine; Area under the curve; Angiomyolipoma; Interventional radiology; Internal medicine; Gastroenterology; Urology; Radiology; Multivariate analysis; Kidney; Neurology","score_opus":0.1918045079858859,"score_gpt":0.395591086800102,"score_spread":0.2037865788142161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119378780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73825204,0.00022554235,0.2582759,0.00048310187,0.000145044,0.0016810432,0.00004674085,0.000086482665,0.00080408785],"genre_scores_gemma":[0.9653811,0.000015658125,0.03347243,0.00017673362,0.00037322403,0.00009143754,0.0002871164,0.00008128174,0.000121042256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99556047,0.0016255323,0.0008409262,0.0007340177,0.0005679222,0.00067114626],"domain_scores_gemma":[0.9957841,0.001034914,0.00028561952,0.00087707886,0.0015363103,0.00048196572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003948408,0.00030722216,0.0009916358,0.00082895166,0.00010595189,0.000042912245,0.000459312,0.00008645534,0.000044699416],"category_scores_gemma":[0.0067389356,0.0002739626,0.00027047176,0.00091654254,0.00010743863,0.00010920822,0.00025698784,0.00022409852,0.000066760585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022878258,0.00044195025,0.015571179,0.00010784394,0.0028201267,0.000040893556,0.003154675,0.69126046,0.27685842,0.00044722852,0.0020100856,0.004999301],"study_design_scores_gemma":[0.006044864,0.0009881455,0.05463294,0.00009372418,0.0020520587,0.00003466949,0.00021207434,0.9338652,0.0011595438,0.00022575894,0.00041482368,0.0002761973],"about_ca_topic_score_codex":0.00031409707,"about_ca_topic_score_gemma":0.00013487208,"teacher_disagreement_score":0.27569887,"about_ca_system_score_codex":0.00026904375,"about_ca_system_score_gemma":0.0003123811,"threshold_uncertainty_score":0.9999713},"labels":[],"label_agreement":null},{"id":"W2120211231","doi":"10.1007/s00330-004-2475-1","title":"Specificity of choline metabolites for in vivo diagnosis of breast cancer using 1H MRS at 1.5�T","year":2004,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Phosphocholine; Choline; In vivo; Breast cancer; Medicine; Asymptomatic; Magnetic resonance imaging; In vivo magnetic resonance spectroscopy; Taurine; Malignancy; Nuclear magnetic resonance; Cancer; Ultrasound; Pathology; Nuclear medicine; Radiology; Internal medicine; Chemistry; Biology; Biochemistry","score_opus":0.037401405555129365,"score_gpt":0.3355707989347054,"score_spread":0.29816939337957604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120211231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983405,0.00073279603,0.013875552,0.00052565156,0.00003457842,0.00041205142,0.00026612234,0.000026171403,0.0007220979],"genre_scores_gemma":[0.96297514,0.00095280923,0.0356506,0.00013993605,0.00012861026,0.00003820652,0.000012718762,0.000025635238,0.000076322875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928963,0.000033839227,0.00030991118,0.00017787411,0.0000413838,0.00014737868],"domain_scores_gemma":[0.99948424,0.00005397361,0.00014496596,0.00020481045,0.00007013748,0.00004186424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013982887,0.00008690671,0.00033047228,0.00008387427,0.000021341559,6.301262e-7,0.00007739268,0.00003186411,0.00007831566],"category_scores_gemma":[0.000034640063,0.00007563325,0.000072491435,0.00014629403,0.00013373545,0.000020941114,0.000037360456,0.00006639826,0.0000011027234],"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":[0.0004232581,0.00053130166,0.12640935,0.00013917628,0.000047428726,0.000019551046,0.0003204906,0.0063132076,0.85051626,0.00906451,0.0007149021,0.005500559],"study_design_scores_gemma":[0.0040152944,0.000316112,0.33136374,0.00028414722,0.00017704089,0.00029924448,0.000068973066,0.0002389335,0.6250623,0.0013157867,0.036599025,0.000259401],"about_ca_topic_score_codex":0.00010781774,"about_ca_topic_score_gemma":0.00002530029,"teacher_disagreement_score":0.22545397,"about_ca_system_score_codex":0.00008139912,"about_ca_system_score_gemma":0.000025544683,"threshold_uncertainty_score":0.30842346},"labels":[],"label_agreement":null},{"id":"W2120805174","doi":"10.1007/s00330-008-1076-9","title":"Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":342,"is_retracted":false,"has_abstract":false,"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","funders":"Malmö Högskola; Cancerfonden; European Commission","keywords":"Medicine; Mammography; Breast cancer; Visibility; Digital Breast Tomosynthesis; Cancer; Radiology; Digital mammography; Neuroradiology; Population; Tomosynthesis; Medical physics; Internal medicine","score_opus":0.017398642945872414,"score_gpt":0.2556905877055567,"score_spread":0.2382919447596843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120805174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818784,0.00049628963,0.00002368774,0.0001784532,0.00002070682,0.00019893258,0.0001453676,0.000025299581,0.00072341645],"genre_scores_gemma":[0.9996491,0.00014504306,0.000098817916,0.000017786868,0.000023054137,0.000005034641,0.00003392608,0.000020591777,0.0000066128623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988799,0.00008888443,0.0003835309,0.00032704152,0.00012786259,0.00019277066],"domain_scores_gemma":[0.99941725,0.00006684708,0.00017163478,0.00018297369,0.0000653701,0.00009593471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017047414,0.00015642309,0.00045915006,0.00047910167,0.00003948762,0.000010001607,0.000061195155,0.00004227293,0.0000063990487],"category_scores_gemma":[0.000013948811,0.00012784124,0.00006596451,0.000608085,0.0006651724,0.00020229664,0.000022768048,0.00012443463,2.3480223e-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":[0.000718876,0.00012790425,0.96845394,0.00010436284,0.000071442446,0.000017860606,0.00043996423,0.0000071483846,0.0011192102,0.0000586515,0.000014659426,0.028865952],"study_design_scores_gemma":[0.00095892657,0.00023552608,0.9955426,0.00019018105,0.000053998327,0.0024107492,0.00016474877,0.00023778314,0.00005730969,0.000018061482,0.000013210533,0.000116905445],"about_ca_topic_score_codex":0.0005588208,"about_ca_topic_score_gemma":0.00009239679,"teacher_disagreement_score":0.028749047,"about_ca_system_score_codex":0.000033324857,"about_ca_system_score_gemma":0.000036447636,"threshold_uncertainty_score":0.5213215},"labels":[],"label_agreement":null},{"id":"W2120837330","doi":"10.1007/s00330-013-3074-9","title":"Diagnostic value of pelvic enthesitis on MRI of the sacroiliac joints in spondyloarthritis","year":2013,"lang":"en","type":"article","venue":"European Radiology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Enthesitis; Medicine; Sacroiliitis; Sacroiliac joint; Radiology; Enthesis; Spondyloarthropathy; Magnetic resonance imaging; Pubic symphysis; Ankylosing spondylitis; Pelvis; Psoriatic arthritis; Surgery; Arthritis; Internal medicine","score_opus":0.007886577945578212,"score_gpt":0.21922258175328452,"score_spread":0.2113360038077063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120837330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97922176,0.0017452291,0.0000019525091,0.0007071842,0.0002981173,0.0005233159,0.000027102033,0.00001334312,0.017461972],"genre_scores_gemma":[0.9981994,0.0008635359,0.000106688814,0.00032654195,0.00007924585,0.000018971272,0.000008406945,0.000027479566,0.00036971015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985314,0.0004174805,0.00040508577,0.0002441892,0.00013738142,0.0002644897],"domain_scores_gemma":[0.99889517,0.00043345784,0.00014087568,0.00042000474,0.00005211303,0.00005840104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017784392,0.0001556321,0.0004670888,0.00009869212,0.000040286144,0.0000026598077,0.00013607537,0.000043161068,0.00039444066],"category_scores_gemma":[0.00054862647,0.00010845786,0.00013842128,0.00016559401,0.00027726335,0.000024845323,0.00008605788,0.0001561895,0.0002721668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021107351,0.000858416,0.9480383,0.000104401246,0.00022550963,0.0010296867,0.0014009885,0.000043521464,0.0064390567,0.0019713324,0.006467105,0.03321063],"study_design_scores_gemma":[0.0027689852,0.0009320539,0.99230754,0.0003835372,0.000036224184,0.00025672064,0.00010372035,0.000007097671,0.0017565377,0.00012200949,0.0012467518,0.0000788019],"about_ca_topic_score_codex":0.00017793686,"about_ca_topic_score_gemma":0.000033333647,"teacher_disagreement_score":0.044269282,"about_ca_system_score_codex":0.00003992712,"about_ca_system_score_gemma":0.000022233608,"threshold_uncertainty_score":0.4422783},"labels":[],"label_agreement":null},{"id":"W2121414577","doi":"10.1007/s00330-013-2797-y","title":"Triphasic CT in the diagnosis of acute mesenteric ischaemia","year":2013,"lang":"en","type":"article","venue":"European Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Interventional radiology; Mesenteric ischemia; Angiography; Ultrasound; Gold standard (test); Ischemia; Diagnostic accuracy; Internal medicine; Neurology","score_opus":0.018333720532737813,"score_gpt":0.2667050661055695,"score_spread":0.24837134557283166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121414577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863202,0.00038579153,0.000037250033,0.0010327202,0.00005874655,0.0003267227,0.0000059902322,0.000010101119,0.011822468],"genre_scores_gemma":[0.99855775,0.00024432407,0.00019491022,0.0005452693,0.000054695472,0.000051019124,0.000033771175,0.000012154135,0.00030612698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991505,0.00033812545,0.00018378135,0.00013052455,0.000061282604,0.0001357715],"domain_scores_gemma":[0.99956477,0.00006882144,0.000052471998,0.00026094486,0.000019567768,0.00003345502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016334599,0.00008284334,0.00021258555,0.00007940425,0.000024857598,0.000003765371,0.00010757001,0.000012390826,0.0003802054],"category_scores_gemma":[0.000026998448,0.00004833671,0.000102468766,0.00013004876,0.00009100975,0.000033242322,0.000024880008,0.00009515942,0.00040349163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001614561,0.0014000363,0.860486,0.00006138946,0.0019502374,0.008752655,0.002121977,0.000004861607,0.004200797,0.0009744202,0.06426909,0.055617116],"study_design_scores_gemma":[0.0021704112,0.00050698203,0.98852557,0.00002688037,0.0002328606,0.0018550032,0.00015634768,0.0000149459265,0.00025563568,0.00006888438,0.006127501,0.00005896573],"about_ca_topic_score_codex":0.000037082216,"about_ca_topic_score_gemma":0.0000013245938,"teacher_disagreement_score":0.12803961,"about_ca_system_score_codex":0.000016318758,"about_ca_system_score_gemma":0.000010290638,"threshold_uncertainty_score":0.5186203},"labels":[],"label_agreement":null},{"id":"W2122946345","doi":"10.1007/s00330-010-1757-z","title":"Real-time contrast-enhanced ultrasound-guided biopsy of focal hepatic lesions not localised on B-mode ultrasound","year":2010,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Ultrasound; Neuroradiology; Contrast-enhanced ultrasound; Interventional radiology; Radiology; Contrast (vision); Biopsy; Neurology; Optics","score_opus":0.033912002066339625,"score_gpt":0.2704078821517928,"score_spread":0.23649588008545316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122946345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96470255,0.00003190301,0.00033047574,0.00029097399,0.00034898182,0.00065013184,0.00006701658,0.0001653291,0.033412654],"genre_scores_gemma":[0.9959589,0.00010864498,0.0017270562,0.00035980748,0.00036976178,0.000021500979,0.00030190818,0.00008859073,0.0010637828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99747396,0.00059829035,0.0006428513,0.00054843543,0.00022893983,0.0005075331],"domain_scores_gemma":[0.99748516,0.00110482,0.0002163055,0.00074124517,0.00013517772,0.00031729898],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005292819,0.00035753485,0.00077467505,0.00018638159,0.000115954754,0.000014486168,0.00022838543,0.00018482596,0.000782775],"category_scores_gemma":[0.00078508275,0.00028954755,0.00028344902,0.00020574313,0.0004605966,0.0000446886,0.000029247421,0.0004478834,0.000806586],"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":[0.00045420096,0.00035054018,0.0576485,0.000032814816,0.00018595607,0.0003497017,0.00032310293,0.0000031348336,0.9372438,0.000527445,0.0020995524,0.00078125513],"study_design_scores_gemma":[0.009612751,0.0036736294,0.32372347,0.00017454686,0.000802609,0.0039347354,0.000078142366,0.0010241477,0.65437216,0.00014012131,0.0016799422,0.00078374293],"about_ca_topic_score_codex":0.00013697626,"about_ca_topic_score_gemma":0.000013744674,"teacher_disagreement_score":0.28287163,"about_ca_system_score_codex":0.000051126488,"about_ca_system_score_gemma":0.000105196865,"threshold_uncertainty_score":0.9999714},"labels":[],"label_agreement":null},{"id":"W2125706851","doi":"10.1007/s00330-011-2260-x","title":"Non-invasive assessment of functionally relevant coronary artery stenoses with quantitative CT perfusion: preliminary clinical experiences","year":2011,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; Robarts Clinical Trials; London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Dipyridamole; Coronary artery disease; Perfusion; Stenosis; Cardiology; Artery; Internal medicine; Coronary circulation; Radiology; Fractional flow reserve; Blood flow; Nuclear medicine; Myocardial infarction; Coronary angiography","score_opus":0.05426684665432564,"score_gpt":0.32497726322110515,"score_spread":0.2707104165667795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125706851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630671,0.00059605046,0.00092944305,0.00012625329,0.00068826415,0.00026205773,0.000009186396,0.000044971697,0.034276675],"genre_scores_gemma":[0.98918384,0.00028735414,0.009474764,0.00050169625,0.00022535391,0.000017434138,0.00003794196,0.000029684565,0.0002419533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828106,0.00044881523,0.0004886788,0.00038591708,0.0001844691,0.00021107729],"domain_scores_gemma":[0.9981183,0.0010100178,0.00020750228,0.00033626394,0.0001942095,0.00013371665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005744684,0.0001732455,0.0004950692,0.00008667156,0.00006726418,0.000004294352,0.00010902607,0.0000305442,0.00018436092],"category_scores_gemma":[0.00039869928,0.00012365438,0.00014329879,0.00008660704,0.0007346288,0.000057494748,0.000079667545,0.00025956437,0.000053878335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019664087,0.0006365839,0.97524625,0.000048821566,0.00028480665,0.0058713127,0.0056877783,0.000018014249,0.0005036996,0.00036719313,0.006746372,0.0026227308],"study_design_scores_gemma":[0.0015202314,0.011214124,0.97473943,0.00016436304,0.00019380334,0.0034841713,0.007778668,0.00007842632,0.00014530428,0.000011731901,0.0005242563,0.00014546832],"about_ca_topic_score_codex":0.000007936317,"about_ca_topic_score_gemma":0.0000013415163,"teacher_disagreement_score":0.03403472,"about_ca_system_score_codex":0.000022818516,"about_ca_system_score_gemma":0.00029262705,"threshold_uncertainty_score":0.5042479},"labels":[],"label_agreement":null},{"id":"W2126660744","doi":"10.1007/s00330-014-3307-6","title":"The accuracy and utility of contrast-enhanced MR angiography for localization of spinal dural arteriovenous fistulas: the Toronto experience","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Medicine; Neuroradiology; Digital subtraction angiography; Radiology; Arteriovenous fistula; Magnetic resonance angiography; Spinal cord; Interventional radiology; Magnetic resonance imaging; Angiography; Arteriovenous malformation; Nuclear medicine; Neurology","score_opus":0.013329765098699183,"score_gpt":0.26984956603517424,"score_spread":0.25651980093647503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126660744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662936,0.0034250086,0.028021676,0.00026182682,0.00009409495,0.00056972844,0.0000082721335,0.00001155754,0.001314276],"genre_scores_gemma":[0.9993095,0.00032716338,0.00013346464,0.00013228059,0.0000406935,0.000031401356,0.000012346274,0.0000061035435,0.000007044126],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993072,0.00018402842,0.00024017929,0.00010525157,0.000055139273,0.0001081637],"domain_scores_gemma":[0.999315,0.00019907186,0.00013117335,0.00024775305,0.00007959738,0.000027408625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032495876,0.00007035792,0.0001733808,0.000013025424,0.00011728658,0.000006102024,0.000074064155,0.00001647141,0.000009491118],"category_scores_gemma":[0.00021734522,0.000037235826,0.000120762845,0.00004005107,0.00025196085,0.000041288473,0.000018149356,0.000023602393,6.734066e-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":[0.00463101,0.0021639068,0.19723493,0.0007731659,0.0027984916,0.000014247104,0.03565242,0.000192769,0.017906014,0.023772506,0.0050182734,0.70984226],"study_design_scores_gemma":[0.0025018337,0.0023226729,0.9679232,0.000061265004,0.00018996307,0.00007448226,0.0012473114,0.0029801233,0.0035661552,0.00009682544,0.01894764,0.000088484194],"about_ca_topic_score_codex":0.000033561464,"about_ca_topic_score_gemma":0.000036000663,"teacher_disagreement_score":0.7706883,"about_ca_system_score_codex":0.000008680782,"about_ca_system_score_gemma":0.00000831757,"threshold_uncertainty_score":0.1518433},"labels":[],"label_agreement":null},{"id":"W2134248638","doi":"10.1007/s00330-008-0940-y","title":"Upper extremity peripheral neuropathies: role and impact of MR imaging on patient management","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Peripheral Nerve Disorders","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Magnetic resonance imaging; Ulnar nerve; Rank correlation; Peripheral; Neurology; Magnetic resonance neurography; Median nerve; Surgery; Internal medicine; Elbow","score_opus":0.009799051744049455,"score_gpt":0.24163204802648308,"score_spread":0.23183299628243362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134248638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587269,0.00087170687,0.000039210037,0.0001503826,0.00008454614,0.0001997122,0.0000061481824,0.0000521734,0.039869256],"genre_scores_gemma":[0.99804604,0.00033685894,0.00029168784,0.0009003468,0.000060207647,0.0000031582858,0.000012889437,0.000040456598,0.00030837816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872184,0.00030370607,0.0002563826,0.00032562597,0.00011583956,0.00027659698],"domain_scores_gemma":[0.9994187,0.000025303481,0.000083255036,0.00032131208,0.000034135956,0.0001172971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001225803,0.00018626616,0.0002979002,0.00010397059,0.00006918937,0.0000040402415,0.00008636137,0.000021247679,0.0001623331],"category_scores_gemma":[0.000045771612,0.00014737059,0.00013823164,0.00008926907,0.00025534906,0.00004144688,0.00007960798,0.00017388766,0.00002592715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089238357,0.00035637335,0.92305076,0.000058586746,0.00018106466,0.0023851264,0.0028782506,0.00029029397,0.017372062,0.00012560311,0.0056039793,0.046805497],"study_design_scores_gemma":[0.0014434304,0.00095687096,0.9920827,0.000034837296,0.000027397171,0.0011440075,0.00023411497,0.00051551545,0.000089331465,0.0000124189555,0.0033175654,0.00014177027],"about_ca_topic_score_codex":0.000026782858,"about_ca_topic_score_gemma":4.4370856e-7,"teacher_disagreement_score":0.06903196,"about_ca_system_score_codex":0.000059966456,"about_ca_system_score_gemma":0.000016774413,"threshold_uncertainty_score":0.60095984},"labels":[],"label_agreement":null},{"id":"W2142708329","doi":"10.1007/s00330-014-3458-5","title":"The application of Gadopentate-Dimeneglumin has no impact on progression free and overall survival as well as renal function in patients with monoclonal plasma cell disorders if general precautions are taken","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"inVentiv Health Clinical","funders":"Dietmar Hopp Stiftung","keywords":"Medicine; Multiple myeloma; Renal function; Monoclonal gammopathy of undetermined significance; Radiology; Kidney disease; Magnetic resonance imaging; Plasma cell; Hematology; Monoclonal; Neuroradiology; Adverse effect; Internal medicine; Kidney; Urology; Monoclonal antibody; Neurology","score_opus":0.009267728000227194,"score_gpt":0.2571991943799735,"score_spread":0.24793146637974633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142708329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99126846,0.000042436346,0.000078832345,0.00019285743,0.00005751243,0.00082931283,0.000019999507,0.000018701929,0.0074919034],"genre_scores_gemma":[0.998761,0.000042047726,0.00019403461,0.00003550622,0.0000729208,0.00003713542,0.0002652171,0.000028173918,0.0005639731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839854,0.0005412922,0.00022217588,0.0003173401,0.00023757,0.00028309025],"domain_scores_gemma":[0.99915487,0.00014305161,0.00016142594,0.00033382713,0.00006502901,0.00014178624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028126326,0.00017294932,0.0002219486,0.000087302156,0.00014386872,0.000017563065,0.00011671386,0.000045505494,0.000045245808],"category_scores_gemma":[0.0000897035,0.000099132005,0.000044985885,0.00007809934,0.00020219912,0.00004835864,0.00006125673,0.0001901265,0.00014454826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011551424,0.00063264125,0.9699885,0.000021489981,0.00010996084,0.00001018739,0.00007508165,0.0003247285,0.0012957623,0.00007394674,0.0010335251,0.014882722],"study_design_scores_gemma":[0.008675351,0.005654657,0.9784609,0.000036917678,0.000028883,0.0000078333405,0.000012172963,0.0024814042,0.00028525628,0.0000591897,0.004206489,0.00009096421],"about_ca_topic_score_codex":0.00019732305,"about_ca_topic_score_gemma":0.00008607161,"teacher_disagreement_score":0.014791758,"about_ca_system_score_codex":0.00007993702,"about_ca_system_score_gemma":0.000052456435,"threshold_uncertainty_score":0.4042486},"labels":[],"label_agreement":null},{"id":"W2143544090","doi":"10.1007/s00330-008-0906-0","title":"Image-guided focused ultrasound ablation of breast cancer: current status, challenges, and future directions","year":2008,"lang":"en","type":"review","venue":"European Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","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":"Toronto General Hospital; University Health Network","funders":"","keywords":"Ablation; Medicine; Breast cancer; Magnetic resonance imaging; Ultrasound; Radiology; Neuroradiology; Interventional radiology; Cancer; Internal medicine","score_opus":0.032975753767597066,"score_gpt":0.27547896850770126,"score_spread":0.2425032147401042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143544090","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":[0.000048132024,0.9934043,0.000053747935,0.000029384306,0.00057628786,0.00037923828,0.0005269207,0.00021929816,0.0047626495],"genre_scores_gemma":[0.000036407237,0.9978267,0.0002917005,0.0000034761001,0.0013603151,0.00007219473,0.0002662556,0.00011915838,0.000023809122],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853915,0.00026317986,0.00050149066,0.0003369183,0.000071445706,0.000287788],"domain_scores_gemma":[0.99913794,0.00018077891,0.00016402306,0.00035443087,0.00005289924,0.000109925546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008702774,0.00035829633,0.00089468044,0.0001701404,0.00008994201,0.0000110713445,0.0001737216,0.00013503444,0.00005559256],"category_scores_gemma":[0.0000115376415,0.00031594362,0.00017399053,0.00017315886,0.00013684737,0.000059847913,0.00002132333,0.00039986675,0.000038571594],"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":[7.434629e-7,0.000021335465,0.0000061864253,0.001928672,0.00015364705,0.0000023986386,0.00032160364,0.0000051657844,0.000020900909,0.00019232715,0.0019046565,0.9954424],"study_design_scores_gemma":[0.00014276043,0.000010190212,0.0021220043,0.00043417024,0.00019909664,0.00093945407,0.000010898165,0.000009064265,2.0956543e-7,0.000009755625,0.99584687,0.0002755541],"about_ca_topic_score_codex":0.000009939972,"about_ca_topic_score_gemma":0.000012508439,"teacher_disagreement_score":0.99516684,"about_ca_system_score_codex":0.00010140846,"about_ca_system_score_gemma":0.000059402657,"threshold_uncertainty_score":0.99992925},"labels":[],"label_agreement":null},{"id":"W2151774404","doi":"10.1007/s00330-012-2652-6","title":"Fully automated derivation of coronary artery calcium scores and cardiovascular risk assessment from contrast medium-enhanced coronary CT angiography studies","year":2012,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Agatston score; Coronary Calcium Score; Neuroradiology; Calcium; Coronary artery calcium; Radiology; Contrast (vision); Percentile; Angiography; Interventional radiology; Internal medicine; Computed tomography; Artificial intelligence","score_opus":0.021646215248222286,"score_gpt":0.2867474061380306,"score_spread":0.2651011908898083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151774404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94146097,0.05405188,0.002120311,0.000093317365,0.00086421997,0.0003097068,0.000100983845,0.00022680378,0.0007717914],"genre_scores_gemma":[0.99548507,0.0020234445,0.0014791357,0.00024560298,0.00049651554,0.000011941931,0.00021039983,0.000040445746,0.000007472078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979621,0.0007903386,0.0003935992,0.00031479023,0.00020404067,0.00033508768],"domain_scores_gemma":[0.9984882,0.00063414336,0.00015844678,0.0004049879,0.00015260531,0.00016160306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073650584,0.00022585844,0.0007757842,0.0001597088,0.0000847801,0.00000771332,0.00006818513,0.000040553972,0.000014383486],"category_scores_gemma":[0.00039285832,0.00019469921,0.00036860735,0.0001373517,0.00045511185,0.000096373136,0.00008643039,0.00020005781,0.000012240758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001262053,0.00010994787,0.9779189,0.00004988864,0.0042628394,0.00031276472,0.0006316548,0.00005237021,0.0073586814,0.000015027778,0.0050882553,0.004073445],"study_design_scores_gemma":[0.0022916403,0.00028311266,0.9929564,0.00009989694,0.0015073469,0.0005788294,0.0005550386,0.000085147,0.00093391916,0.000018034327,0.00051505165,0.00017557712],"about_ca_topic_score_codex":0.000046204732,"about_ca_topic_score_gemma":0.0000014024905,"teacher_disagreement_score":0.054024056,"about_ca_system_score_codex":0.000035836194,"about_ca_system_score_gemma":0.00004120651,"threshold_uncertainty_score":0.79396033},"labels":[],"label_agreement":null},{"id":"W2158744743","doi":"10.1007/s00330-014-3331-6","title":"Physiologic characterization of inflammatory arthritis in a rabbit model with BOLD and DCE MRI at 1.5 Tesla","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Children's Hospital of Eastern Ontario; Hospital for Sick Children; Public Health Ontario; University of Toronto; Toronto Western Hospital","funders":"","keywords":"Medicine; Magnetic resonance imaging; Arthritis; Neuroradiology; Nuclear medicine; Perfusion; Interventional radiology; Dynamic contrast-enhanced MRI; Blood-oxygen-level dependent; Blood flow; Inflammatory arthritis; Radiology; Internal medicine; Neurology","score_opus":0.006819349230142328,"score_gpt":0.2171824253034391,"score_spread":0.21036307607329677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158744743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475944,0.00006403239,0.04888001,0.00023781661,0.000005518699,0.00022689979,0.000005219193,0.00005575945,0.0029303255],"genre_scores_gemma":[0.9907866,0.0005405672,0.007795843,0.00037292944,0.00004434917,0.000019401767,0.000050052433,0.000019220315,0.00037102343],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994169,0.00007254142,0.00017989923,0.0001870238,0.000031946904,0.000111721485],"domain_scores_gemma":[0.9996272,0.000023348834,0.00009713706,0.0001890937,0.000024412324,0.000038808423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012820738,0.000082130144,0.00021633366,0.000052013576,0.000024373538,0.0000012689794,0.00004363699,0.00003367689,0.000007777867],"category_scores_gemma":[0.000019824132,0.00006530599,0.000014785013,0.00006003995,0.0001320836,0.000029387027,0.000040236722,0.00008860602,0.0000057175866],"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":[0.00013064551,0.000047597376,0.009400977,0.000029204693,0.000004467732,0.000014186182,0.00016655674,0.0007327494,0.97859776,0.0037420208,0.00015074167,0.006983105],"study_design_scores_gemma":[0.004680325,0.0020315482,0.89577043,0.0004117859,0.00004100252,0.00068037404,0.00003716879,0.042395223,0.034072887,0.0014876565,0.017914161,0.00047745614],"about_ca_topic_score_codex":9.557664e-7,"about_ca_topic_score_gemma":0.0000017216842,"teacher_disagreement_score":0.9445249,"about_ca_system_score_codex":0.00001444809,"about_ca_system_score_gemma":0.000008911243,"threshold_uncertainty_score":0.2663101},"labels":[],"label_agreement":null},{"id":"W2171659618","doi":"10.1007/s00330-015-3897-7","title":"Real-time phase contrast magnetic resonance imaging for assessment of haemodynamics: from phantom to patients","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Circle Cardiovascular Imaging; Siemens; Siemens Medical Solutions USA","keywords":"Medicine; Atrial fibrillation; Hemodynamics; Magnetic resonance imaging; Stenosis; Imaging phantom; Regurgitant fraction; Stroke volume; Cardiology; Neuroradiology; Aortic valve; Stroke (engine); Internal medicine; Ascending aorta; Radiology; Nuclear medicine; Aorta; Neurology; Ejection fraction; Heart failure","score_opus":0.02451091009948774,"score_gpt":0.3505078997282061,"score_spread":0.32599698962871837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171659618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.670137,0.0003513918,0.310434,0.0006102148,0.000103957085,0.0015469575,0.00055983046,0.00016473311,0.016091883],"genre_scores_gemma":[0.73530257,0.00007371354,0.26291826,0.00048319873,0.0001858035,0.00007856032,0.00046719977,0.000054680182,0.00043602026],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990809,0.00007283027,0.00029294193,0.0002784901,0.00007859804,0.00019624448],"domain_scores_gemma":[0.9991495,0.000078651574,0.00010245445,0.0003234355,0.00018867891,0.0001572545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018725413,0.000113128524,0.00029110085,0.00005548524,0.000028355835,0.0000039190263,0.00012532479,0.00002130938,0.000024252335],"category_scores_gemma":[0.00009124357,0.0001044902,0.000045565637,0.00007297943,0.00007453542,0.00003120941,0.00004755076,0.00006843943,0.000019496934],"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":[0.0016576933,0.0021867726,0.04083353,0.000041198167,0.000038760547,0.00011007657,0.00089236087,0.00019512868,0.3378518,0.006287011,0.052767184,0.5571385],"study_design_scores_gemma":[0.04501488,0.011154384,0.45072055,0.0004203736,0.00042036534,0.00011483541,0.00022932261,0.1046624,0.005636051,0.0050062803,0.37549633,0.0011242166],"about_ca_topic_score_codex":0.000030043142,"about_ca_topic_score_gemma":0.0000014580379,"teacher_disagreement_score":0.5560143,"about_ca_system_score_codex":0.000073175535,"about_ca_system_score_gemma":0.00004350669,"threshold_uncertainty_score":0.42609867},"labels":[],"label_agreement":null},{"id":"W2185210402","doi":"10.1007/s00330-015-4118-0","title":"The Yield of Pre-operative Breast MRI in Patients According to Breast Tissue Density","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Breast density; Breast MRI; Radiology; Breast cancer; Mammography; Neuroradiology; Breast tissue; Interventional radiology; Breast biopsy; Biopsy; Magnetic resonance imaging; Breast ultrasound; Breast surgery; Cancer; Internal medicine; Neurology","score_opus":0.013483028244131752,"score_gpt":0.2596059306956807,"score_spread":0.24612290245154897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185210402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731265,0.0000588585,0.00021929109,0.0013106425,0.0002492742,0.00032293436,0.000024424864,0.00003163849,0.024656491],"genre_scores_gemma":[0.9990504,0.0000058700703,0.00014424577,0.00038394335,0.00014448739,0.000003101355,0.000014211068,0.000022073486,0.00023167333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987688,0.00023100547,0.0003031853,0.0002533724,0.00014423778,0.00029937964],"domain_scores_gemma":[0.999151,0.000106463,0.00007632623,0.00029495647,0.00016722616,0.00020403208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005207485,0.00014494927,0.00029468606,0.000147049,0.000052243682,0.0000214363,0.00019398206,0.00002988501,0.000007010338],"category_scores_gemma":[0.00017341005,0.000100046454,0.00005763328,0.0003161129,0.0001609281,0.000111695466,0.00012385273,0.00018331558,0.00005151664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010032305,0.0001952754,0.92138594,0.000012169895,0.00006672596,0.00008085965,0.0013214082,0.000039741855,0.00061711133,0.00026394858,0.0041140993,0.07089949],"study_design_scores_gemma":[0.0010022859,0.00056989683,0.99517536,0.00009167576,0.000018971952,0.0007989674,0.00040488943,0.000016790158,0.00020647606,0.00002775331,0.0015759703,0.00011097906],"about_ca_topic_score_codex":0.000063507985,"about_ca_topic_score_gemma":0.000017728215,"teacher_disagreement_score":0.073789395,"about_ca_system_score_codex":0.000044832268,"about_ca_system_score_gemma":0.000042279957,"threshold_uncertainty_score":0.4079776},"labels":[],"label_agreement":null},{"id":"W2205260454","doi":"10.1007/s00330-015-4068-6","title":"Non-enhanced, ECG-gated MR angiography of the pedal vasculature: comparison with contrast-enhanced MR angiography and digital subtraction angiography in peripheral arterial occlusive disease","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"Bayer HealthCare","keywords":"Medicine; Digital subtraction angiography; Radiology; Magnetic resonance angiography; Gold standard (test); Angiography; Stenosis; Neuroradiology; Peripheral arterial occlusive disease; Percutaneous; Nuclear medicine; Peripheral; Magnetic resonance imaging; Internal medicine","score_opus":0.00955811144822645,"score_gpt":0.23113687241454067,"score_spread":0.22157876096631424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205260454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275607,0.0015026468,0.0012913927,0.00033819448,0.00042788015,0.001133347,0.00007837983,0.00009706139,0.0023750158],"genre_scores_gemma":[0.9988061,0.000034124154,0.00020652634,0.00037616186,0.00026221978,0.00002637643,0.00019167797,0.000058576858,0.000038202917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975781,0.00034058216,0.0005388434,0.0006628039,0.00035453172,0.0005251522],"domain_scores_gemma":[0.99846375,0.00003626261,0.0002899814,0.0005682689,0.00018030334,0.000461411],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023078316,0.00042070556,0.0006864254,0.00050416455,0.00009622387,0.00006836647,0.00024299044,0.000082589875,0.00002293896],"category_scores_gemma":[0.000038385864,0.0003019942,0.00086112204,0.0011205851,0.0007180052,0.0002567296,0.00012364161,0.00029039304,0.0000062210424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0109472675,0.0012438655,0.9598048,0.0001492974,0.002101447,0.000345309,0.0026257122,0.0009889733,0.01543846,0.000051447238,0.0027388234,0.003564653],"study_design_scores_gemma":[0.0075658956,0.0011688347,0.9876902,0.00014087313,0.00059400103,0.000052583262,0.0005932554,0.00042249807,0.00020971951,0.000041666197,0.0011497757,0.00037066985],"about_ca_topic_score_codex":0.00003152419,"about_ca_topic_score_gemma":0.000049260943,"teacher_disagreement_score":0.027885484,"about_ca_system_score_codex":0.00005441651,"about_ca_system_score_gemma":0.00006828881,"threshold_uncertainty_score":0.9999432},"labels":[],"label_agreement":null},{"id":"W2206651137","doi":"10.1007/s00330-015-4096-2","title":"Characterisation of cardiomyopathy by cardiac and aortic magnetic resonance in patients new to hemodialysis","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Function and Risk Factors","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":"Western University","funders":"National Institute for Health and Care Research; British Heart Foundation; American Society of Nephrology; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Cardiology; Internal medicine; Ejection fraction; Pulse wave velocity; Diastole; Heart failure; Cardiac magnetic resonance imaging; Cardiomyopathy; Hemodialysis; Cardiac function curve; Magnetic resonance imaging; Radiology; Blood pressure","score_opus":0.010538048429656386,"score_gpt":0.21283599110520152,"score_spread":0.20229794267554513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206651137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960304,0.0020898464,0.00008034254,0.00012079765,0.00033783432,0.00022986458,0.000010859113,0.000017373808,0.0010826888],"genre_scores_gemma":[0.9988158,0.00019974173,0.000104902596,0.00019812466,0.00013512732,0.0000023341343,0.00005317608,0.000018185223,0.00047262976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893606,0.00033401506,0.00023597234,0.0002244593,0.0001327387,0.00013677395],"domain_scores_gemma":[0.9994403,0.00001654445,0.00004247222,0.00023866646,0.000057516056,0.00020449933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038845593,0.00009555622,0.00040434094,0.00013235584,0.000010293397,0.000003832035,0.000038161703,0.00003716562,0.000011560924],"category_scores_gemma":[0.0001964556,0.00008447092,0.0000985582,0.000179296,0.000039415998,0.000026462643,0.00003390226,0.00008079818,0.00004151025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020617669,0.000026262394,0.8886158,0.000007264139,0.000032534554,0.00000794459,0.0007771648,0.000005481673,0.00093848375,0.0000021266562,0.008647729,0.10073302],"study_design_scores_gemma":[0.0016514967,0.00044890496,0.92767274,0.000012041578,0.00006908438,0.000008225238,0.000044089942,0.000008252147,0.000102935664,0.0000015994765,0.0699068,0.00007381541],"about_ca_topic_score_codex":0.00009215968,"about_ca_topic_score_gemma":0.0000013522026,"teacher_disagreement_score":0.1006592,"about_ca_system_score_codex":0.00005051976,"about_ca_system_score_gemma":0.000033932258,"threshold_uncertainty_score":0.34446242},"labels":[],"label_agreement":null},{"id":"W2252346538","doi":"10.1007/s00330-001-1249-2","title":"Bilateral lipoma arborescens associated with early osteoarthritis","year":2002,"lang":"en","type":"article","venue":"European Radiology","topic":"Musculoskeletal synovial abnormalities and treatments","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Neuroradiology; Lipoma; Osteoarthritis; Interventional radiology; Radiology; Disease; Magnetic resonance imaging; Pathology; Neurology","score_opus":0.01429665274131506,"score_gpt":0.19927620817185768,"score_spread":0.18497955543054262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252346538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048097,0.00030710932,0.0000052343175,0.0004162882,0.00012954758,0.00019482586,0.000018184875,0.00012616931,0.09399295],"genre_scores_gemma":[0.99075603,0.00004346119,0.00008358777,0.0005320438,0.00025899196,0.0000052254522,0.00006401275,0.000045318233,0.008211322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988156,0.00022569162,0.00020225588,0.00026174932,0.000116771545,0.000377945],"domain_scores_gemma":[0.99945253,0.00003629097,0.00006831577,0.00023649434,0.000041023584,0.00016533225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008828831,0.00017638679,0.00029898723,0.0000611805,0.00008214217,0.000014970406,0.00007296015,0.000053015123,0.0008784534],"category_scores_gemma":[0.00004227194,0.00012600375,0.00008782541,0.000116059666,0.00014475749,0.000050250528,0.00003070083,0.00016898081,0.000692305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056484813,0.0009868075,0.90811944,0.000053647113,0.0011373091,0.021841964,0.0017819869,0.000005600379,0.0013160289,0.0010537456,0.011918994,0.051219646],"study_design_scores_gemma":[0.0045928876,0.004552488,0.97664183,0.00009500865,0.00009815192,0.0012050497,0.000013101669,0.00002473051,0.000049944745,0.000012830987,0.0125101,0.0002038642],"about_ca_topic_score_codex":0.000039839364,"about_ca_topic_score_gemma":0.0000152446855,"teacher_disagreement_score":0.085946344,"about_ca_system_score_codex":0.000043764776,"about_ca_system_score_gemma":0.0000064036535,"threshold_uncertainty_score":0.96184486},"labels":[],"label_agreement":null},{"id":"W2284261032","doi":"10.1007/s00330-015-4117-1","title":"Microanatomy of the subcallosal artery: an in-vivo 7 T magnetic resonance angiography study","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Duisburg-Essen; Atlantic Canada Opportunities Agency","keywords":"Neuroradiology; Medicine; Interventional radiology; Radiology; Magnetic resonance imaging; Magnetic resonance angiography; Angiography; Ultrasound; In vivo; Neurology","score_opus":0.019843399287394658,"score_gpt":0.25038079350155656,"score_spread":0.23053739421416192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284261032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886943,0.0012956464,0.0000037627012,0.000530124,0.00011274746,0.00040848728,0.0000057727434,0.000026332486,0.008922811],"genre_scores_gemma":[0.9990865,0.00000833163,0.00014812224,0.00026405905,0.000098853016,0.000010165605,0.000004574758,0.000015889696,0.00036351132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988986,0.00043277183,0.00021545826,0.00020906288,0.000083566185,0.00016052865],"domain_scores_gemma":[0.9993692,0.00002358267,0.00004849816,0.00043038456,0.000057197074,0.000071115974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021312998,0.0000992616,0.00019290455,0.00009890201,0.00003206411,0.0000039675533,0.00019551089,0.000022374059,0.000029917734],"category_scores_gemma":[0.000021570459,0.000066636276,0.0000867045,0.00029766472,0.00014545841,0.000023334436,0.00003844447,0.000109891545,0.000028081913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021566775,0.0010882929,0.9875097,0.000004105075,0.00003131024,0.0003072323,0.0016484787,0.0000019170598,0.0033113663,0.0008997838,0.0022437307,0.002738366],"study_design_scores_gemma":[0.0018072894,0.0017399709,0.98981756,0.000008474503,0.00006451786,0.00036164658,0.00027247952,0.000019809855,0.00009058211,0.00012600767,0.0056254277,0.00006622762],"about_ca_topic_score_codex":0.000037334736,"about_ca_topic_score_gemma":0.000051541214,"teacher_disagreement_score":0.010392177,"about_ca_system_score_codex":0.000015073476,"about_ca_system_score_gemma":0.000030175508,"threshold_uncertainty_score":0.27173483},"labels":[],"label_agreement":null},{"id":"W2295077161","doi":"10.1007/s00330-016-4215-8","title":"Randomized controlled trial of relaxation music to reduce heart rate in patients undergoing cardiac CT","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Music Therapy and Health","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"","keywords":"Medicine; Anxiety; Metoprolol; Heart rate; Music therapy; Heart rate variability; Relaxation (psychology); Randomized controlled trial; Radiology; Cardiology; Internal medicine; Physical therapy; Blood pressure; Psychiatry","score_opus":0.029166327801179046,"score_gpt":0.3038805498899145,"score_spread":0.2747142220887354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295077161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97058016,0.00011223079,0.0001516269,0.00095506274,0.0040173144,0.003003181,0.0000059429744,0.00003262504,0.021141838],"genre_scores_gemma":[0.9966246,0.000048302783,0.00004888461,0.00093717215,0.00046033983,0.00010668217,0.0000064158858,0.000030774067,0.0017368116],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.98778087,0.010580406,0.0008915725,0.0003455643,0.000081016,0.00032059304],"domain_scores_gemma":[0.9969829,0.0021551533,0.00036641993,0.00036272017,0.00004777622,0.00008506388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051023224,0.00015090682,0.0013101187,0.00021433068,0.00003965478,0.0000038184758,0.00014096167,0.00004893666,0.00052448735],"category_scores_gemma":[0.0011527223,0.00009782106,0.00023140688,0.00012579828,0.00010251249,0.00003516907,0.000026236412,0.00011940852,0.00034922594],"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":[0.9827936,0.0001499648,0.0010158109,0.0000049779374,0.00014013014,0.0000063752195,0.0013593205,0.000004802515,0.001046213,0.0031606266,0.00636351,0.003954626],"study_design_scores_gemma":[0.94736737,0.00095932675,0.047792837,0.000037425187,0.000025960977,0.0000016310885,0.000027703745,7.2853203e-7,0.000019356987,0.000183692,0.0034732795,0.000110702415],"about_ca_topic_score_codex":0.00003146437,"about_ca_topic_score_gemma":0.000010740137,"teacher_disagreement_score":0.04677703,"about_ca_system_score_codex":0.000057423716,"about_ca_system_score_gemma":0.000054856384,"threshold_uncertainty_score":0.57427686},"labels":[],"label_agreement":null},{"id":"W2311684327","doi":"10.1007/s00330-016-4314-6","title":"Extracranial Venous abnormalities: A true pathological finding in patients with multiple sclerosis or an anatomical variant?","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Alberta; University of Ottawa; Ottawa Hospital","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada","keywords":"Medicine; Radiology; Internal jugular vein; Neuroradiology; Venography; Stenosis; Jugular vein; Neurology; Thrombosis; Surgery","score_opus":0.03762810270031746,"score_gpt":0.2426412160799643,"score_spread":0.20501311337964684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311684327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975938,0.000017685672,0.0003384386,0.00020783539,0.000165395,0.00045445136,0.000060225844,0.00014235628,0.0010197689],"genre_scores_gemma":[0.9970873,0.000019226662,0.0019056494,0.0004707984,0.00026217144,0.000011163117,0.000042953154,0.00007556169,0.00012518212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99730957,0.0007965525,0.0004555258,0.0006025266,0.00018761939,0.000648222],"domain_scores_gemma":[0.9988236,0.00029195816,0.00011649653,0.00045858888,0.00006036061,0.0002490233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051881647,0.0002722306,0.0006253712,0.00019086202,0.000099329125,0.00001578011,0.00022941935,0.00014402189,0.00057730294],"category_scores_gemma":[0.00044943756,0.00015193841,0.0000703373,0.00020164858,0.00032259861,0.00015702938,0.00008527475,0.00028262555,0.00016192028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060400986,0.0022851962,0.96373975,0.00002967399,0.00008463583,0.0028733397,0.0017559741,0.000004891251,0.0041538975,0.00020340952,0.00023202774,0.018597096],"study_design_scores_gemma":[0.00963151,0.0064597065,0.98230773,0.00015277402,0.000047123813,0.0006657091,0.00008114971,0.00003016045,0.0000557922,0.000015762727,0.00029232414,0.00026025405],"about_ca_topic_score_codex":0.000039162078,"about_ca_topic_score_gemma":0.000071037466,"teacher_disagreement_score":0.018567974,"about_ca_system_score_codex":0.00021246342,"about_ca_system_score_gemma":0.00007901251,"threshold_uncertainty_score":0.63210624},"labels":[],"label_agreement":null},{"id":"W2319518956","doi":"10.1007/s00330-016-4252-3","title":"Predicting EGFR mutation status in lung cancer:Proposal for a scoring model using imaging and demographic characteristics","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Pfizer Canada; Dalhousie Medical Research Foundation","keywords":"Medicine; Neuroradiology; Lung cancer; Interventional radiology; Radiology; Ultrasound; Mutation; Medical physics; Oncology; Internal medicine; Genetics; Biology; Neurology","score_opus":0.016094266955431393,"score_gpt":0.31694242674841333,"score_spread":0.30084815979298196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319518956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696507,0.0010117559,0.027906,0.00045996153,0.0001873197,0.00043122942,0.00005945911,0.000044489814,0.00024910274],"genre_scores_gemma":[0.9921401,0.00033037658,0.007053245,0.00012681072,0.00019476877,0.000028501454,0.000024368577,0.000036570615,0.00006523167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991326,0.000065805325,0.00022586135,0.0002500272,0.000045180244,0.00028055784],"domain_scores_gemma":[0.9996076,0.0000718576,0.000095287,0.00009259483,0.000052353764,0.000080262886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016485591,0.00010758581,0.00018405105,0.00015104245,0.000085369036,0.000010984338,0.000027715983,0.000020706198,0.0000033943288],"category_scores_gemma":[0.00008290407,0.00007964355,0.000029579276,0.000075618256,0.00006805258,0.0000973088,0.000020912914,0.00006138123,4.511419e-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":[0.000118760596,0.000025450605,0.9510673,0.000090180874,0.000078382014,0.00008052969,0.0009048488,0.00034187082,0.013755203,0.00022810273,0.00002894569,0.03328042],"study_design_scores_gemma":[0.00655926,0.00017154966,0.6261987,0.0007896588,0.0004639347,0.00030018762,0.0001729483,0.36449572,0.0001519095,0.0003353071,0.00013400099,0.00022679538],"about_ca_topic_score_codex":0.000075419906,"about_ca_topic_score_gemma":0.000021715397,"teacher_disagreement_score":0.36415386,"about_ca_system_score_codex":0.00018993487,"about_ca_system_score_gemma":0.0001969013,"threshold_uncertainty_score":0.32477698},"labels":[],"label_agreement":null},{"id":"W2336904751","doi":"10.1007/s00330-016-4339-x","title":"Association between traumatic bone marrow abnormalities of the knee, the trauma mechanism and associated soft-tissue knee injuries","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Medicine; Soft tissue; Soft tissue injury; Valgus; Femur; Patella; Trauma center; Tibia; Surgery; Bone marrow; Retrospective cohort study; Pathology","score_opus":0.013356632688463557,"score_gpt":0.19955277025960072,"score_spread":0.18619613757113718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336904751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238324,0.0006371159,0.001354111,0.0008695104,0.00059827155,0.00024072184,0.0004559209,0.00021669058,0.0032444326],"genre_scores_gemma":[0.9982346,0.00010412019,0.000079313475,0.000058817113,0.000110423214,0.000008259238,0.00001341378,0.000034693665,0.0013563323],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985232,0.00055316434,0.00034631413,0.00015456554,0.00013148354,0.00029128167],"domain_scores_gemma":[0.9988073,0.0006818409,0.00017146878,0.00026934853,0.00003776897,0.000032263633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010470332,0.00017228015,0.00030207614,0.00005561111,0.00011975575,0.000023432847,0.00023906433,0.000118375676,0.000087443834],"category_scores_gemma":[0.00038233824,0.00009087006,0.00007029366,0.00011748094,0.000119477554,0.00007606648,0.000094886076,0.00016034044,0.00002211817],"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":[0.000105409505,0.00019227217,0.081241086,0.0007748582,0.004821616,0.00010406045,0.040038493,0.00015406785,0.25280902,0.058431767,0.12239032,0.438937],"study_design_scores_gemma":[0.0034262976,0.0011101882,0.850292,0.00047837794,0.0007154452,0.00014244154,0.0016467411,0.0006312946,0.037950646,0.05395938,0.048124507,0.0015226755],"about_ca_topic_score_codex":0.000008371856,"about_ca_topic_score_gemma":0.000020187452,"teacher_disagreement_score":0.7690509,"about_ca_system_score_codex":0.000067880326,"about_ca_system_score_gemma":0.0000079330575,"threshold_uncertainty_score":0.37055737},"labels":[],"label_agreement":null},{"id":"W2337227343","doi":"10.1007/s00330-016-4356-9","title":"Comparison of diagnostic yield of core-needle and fine-needle aspiration biopsies of thyroid lesions: Systematic review and meta-analysis","year":2016,"lang":"en","type":"review","venue":"European Radiology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":46,"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":"Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu","keywords":"Medicine; Thyroid nodules; Fine-needle aspiration; Biopsy; Radiology; Meta-analysis; Thyroid; Cochrane Library; MEDLINE; Nodule (geology); Pathology; Internal medicine","score_opus":0.1793284360872122,"score_gpt":0.38927127674826323,"score_spread":0.20994284066105104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337227343","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":[0.00011473062,0.9972154,0.000028480674,0.00010349131,0.000032013377,0.0019266802,0.00026661716,0.00001436379,0.00029822454],"genre_scores_gemma":[0.014243391,0.98518324,0.000094589726,0.000050984338,0.00002116729,0.00013987454,0.00009598087,0.0000358868,0.00013490654],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99639034,0.0008456322,0.0020162207,0.0004168859,0.00016903646,0.00016188716],"domain_scores_gemma":[0.9938406,0.003164822,0.0020631892,0.0007079435,0.0001439473,0.000079506746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007732095,0.0004036334,0.010719745,0.00034943077,0.000027403183,0.0000039620727,0.00015178302,0.00011352067,0.00009964837],"category_scores_gemma":[0.001715407,0.00021770118,0.0011679264,0.00037090105,0.0002699217,0.000027368387,0.00009471832,0.00013334767,0.000010052754],"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":[0.000010778997,0.0002809964,0.00045570353,0.8888815,0.09938141,0.000024069226,0.00013880414,0.0000010840859,0.000013019552,0.00027036623,0.0014692933,0.009072999],"study_design_scores_gemma":[0.00034797564,0.0012938477,0.00028243978,0.07683741,0.9151244,0.0001087922,0.000033276403,0.0000013798555,0.000018821554,0.0000057067305,0.0057385964,0.00020735314],"about_ca_topic_score_codex":0.000022683722,"about_ca_topic_score_gemma":0.000007718465,"teacher_disagreement_score":0.81574297,"about_ca_system_score_codex":0.00003051793,"about_ca_system_score_gemma":0.000056721437,"threshold_uncertainty_score":0.8877596},"labels":[],"label_agreement":null},{"id":"W2340818670","doi":"10.1007/s00330-016-4338-y","title":"Stent-Retriever Thrombectomy for Acute Anterior Ischemic Stroke with Tandem Occlusion: A Systematic Review and Meta-Analysis","year":2016,"lang":"en","type":"review","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Occlusion; Stroke (engine); Neuroradiology; Meta-analysis; Thrombolysis; Surgery; Stent; Carotid stenting; Stenosis; Internal medicine; Neurology; Myocardial infarction; Carotid endarterectomy","score_opus":0.04258555055197127,"score_gpt":0.3281155524291163,"score_spread":0.285530001877145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340818670","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":[0.0000030429721,0.9843611,0.0022565944,0.00042173156,0.000063423664,0.0077734343,0.00047439823,0.000102981176,0.0045433096],"genre_scores_gemma":[0.000009145175,0.97183603,0.0012758304,0.0017663573,0.00014219501,0.0004610051,0.0002454707,0.00017703162,0.024086962],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9952053,0.00095552014,0.0017105408,0.0012336421,0.00031783464,0.0005771856],"domain_scores_gemma":[0.99601734,0.0004498542,0.0015458139,0.0015772512,0.00016663254,0.00024310323],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0014224052,0.0010027846,0.015503424,0.00043579045,0.00009282154,0.000028958171,0.0005486135,0.00019474504,0.00047324505],"category_scores_gemma":[0.00023667485,0.0004839128,0.003221773,0.0005376412,0.00023147925,0.000064387365,0.00043360746,0.0003870095,0.00014809059],"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":[0.000024219558,0.000024445293,0.0000027038732,0.46645823,0.50210166,0.0005383613,0.000019184954,9.392845e-9,0.00000503385,0.0000063649427,0.029648466,0.0011713204],"study_design_scores_gemma":[0.00050562987,0.0002281897,0.0000014237023,0.028331952,0.5692172,0.0020899074,0.0000044813987,4.3521487e-7,4.872122e-7,7.349707e-8,0.399332,0.00028825228],"about_ca_topic_score_codex":7.6844884e-7,"about_ca_topic_score_gemma":5.133836e-7,"teacher_disagreement_score":0.43812627,"about_ca_system_score_codex":0.00016675988,"about_ca_system_score_gemma":0.000111971356,"threshold_uncertainty_score":0.9997613},"labels":[],"label_agreement":null},{"id":"W2468914765","doi":"10.1007/s00330-016-4448-6","title":"Non-contrast-enhanced MR angiography in critical limb ischemia: performance of quiescent-interval single-shot (QISS) and TSE-based subtraction techniques","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Digital subtraction angiography; Magnetic resonance angiography; Neuroradiology; Nuclear medicine; Radiology; Angiography; Magnetic resonance imaging","score_opus":0.020270837819267067,"score_gpt":0.27202864311654584,"score_spread":0.25175780529727876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468914765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99036515,0.0001650602,0.0011488865,0.0011388878,0.000098578406,0.00028174187,0.000006415375,0.000085839456,0.0067094294],"genre_scores_gemma":[0.99851245,0.00007304783,0.0005852532,0.0005738568,0.00012988206,0.000015590478,0.000009482058,0.000027491433,0.00007295958],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987734,0.00013971432,0.0003502183,0.0003343387,0.00010093283,0.00030141204],"domain_scores_gemma":[0.999427,0.000081425685,0.000075148295,0.0002461336,0.000054753596,0.000115541116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002766569,0.00016869706,0.00033395676,0.00024267971,0.000026313666,0.0000072409234,0.00009380982,0.00005629927,0.00009053751],"category_scores_gemma":[0.00008612937,0.00012600108,0.00011962634,0.0001333283,0.00033269683,0.000115720235,0.00004394357,0.00012754522,0.000014623668],"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":[0.0011261374,0.00044773126,0.09202174,0.00020506639,0.0000488476,0.00008788984,0.000069770605,8.255895e-7,0.8924381,0.000021153328,0.00075238646,0.012780329],"study_design_scores_gemma":[0.0026066895,0.003196669,0.65934587,0.00068614027,0.00009793713,0.00007286001,0.00004741202,0.000193628,0.33151248,0.000008046451,0.001977831,0.0002544201],"about_ca_topic_score_codex":0.0000036234596,"about_ca_topic_score_gemma":0.000003104142,"teacher_disagreement_score":0.5673241,"about_ca_system_score_codex":0.000056808014,"about_ca_system_score_gemma":0.00001697353,"threshold_uncertainty_score":0.5138175},"labels":[],"label_agreement":null},{"id":"W2481422005","doi":"10.1007/s00330-016-4514-0","title":"Quantification of global myocardial function by cine MRI deformable registration-based analysis: Comparison with MR feature tracking and speckle-tracking echocardiography","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Feature tracking; Tracking (education); Interventional radiology; Neuroradiology; Speckle tracking echocardiography; Radiology; Cardiac imaging; Feature (linguistics); Image registration; Ultrasound; Speckle pattern; Ventricular function; Short axis; Artificial intelligence; Computer vision; Nuclear medicine; Internal medicine; Ejection fraction; Computer science; Pattern recognition (psychology); Heart failure; Neurology; Long axis; Image (mathematics)","score_opus":0.012762009532947025,"score_gpt":0.2427277409163388,"score_spread":0.22996573138339177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481422005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.622118,0.0017113446,0.37306973,0.00078240456,0.0003188267,0.00030762603,0.000080386206,0.00012405752,0.0014876467],"genre_scores_gemma":[0.99848276,0.00019742818,0.000501439,0.00010267074,0.00023176738,0.0000022344464,0.00038913102,0.000021490183,0.00007106987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982845,0.00037406752,0.0003703081,0.0005013445,0.0002573856,0.00021237462],"domain_scores_gemma":[0.99868864,0.00006614489,0.00027575856,0.00068176485,0.00017337981,0.00011430557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077954744,0.00019649437,0.00062817096,0.00018976981,0.00009955433,0.000022451699,0.0000977901,0.00010128936,0.00001623043],"category_scores_gemma":[0.000065012624,0.00012394664,0.00031234114,0.0007286999,0.00022864343,0.00013222825,0.00001792741,0.00015370316,0.0000072475873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009009355,0.00005557001,0.9765467,0.000027623011,0.0025585557,0.000013928576,0.000028922552,0.0013127128,0.005365041,0.00008017757,0.0058078356,0.007301981],"study_design_scores_gemma":[0.0023404213,0.00046662515,0.9789614,0.000055254568,0.0028563822,0.000096700904,0.00010211506,0.0010693744,0.0005747695,0.0000038829235,0.013304633,0.00016841633],"about_ca_topic_score_codex":0.00003649413,"about_ca_topic_score_gemma":0.000032462078,"teacher_disagreement_score":0.3763648,"about_ca_system_score_codex":0.00005874283,"about_ca_system_score_gemma":0.000049526705,"threshold_uncertainty_score":0.50543976},"labels":[],"label_agreement":null},{"id":"W2504147580","doi":"10.1007/s00330-016-4496-y","title":"Should fat in the radiofrequency ablation zone of hepatocellular adenomas raise suspicion for residual tumour?","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Dalhousie University; Queen Elizabeth II Health Sciences Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Steatosis; Radiofrequency ablation; Magnetic resonance imaging; Neuroradiology; Ablation; Ablation zone; Interventional radiology; Radiology; Hepatocellular carcinoma; Pathology; Internal medicine; Neurology","score_opus":0.09733216836559838,"score_gpt":0.2738473219382356,"score_spread":0.1765151535726372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504147580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876453,0.00255758,0.0015851078,0.003406259,0.00012030966,0.0011132627,0.000020089712,0.000039263217,0.0035127937],"genre_scores_gemma":[0.997788,0.00022796386,0.00058418745,0.00020593319,0.0004281353,0.0000492111,0.00008264816,0.000040805935,0.0005930967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980117,0.0007445954,0.00045871307,0.00031942723,0.00015003684,0.00031553142],"domain_scores_gemma":[0.99894476,0.00040598807,0.00014326048,0.00037006824,0.000068304544,0.0000676279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010491186,0.00018560096,0.00037614748,0.00013625016,0.000054986103,0.00000581402,0.00018443119,0.00008981077,0.000082514496],"category_scores_gemma":[0.00021708923,0.000103716215,0.00014841175,0.00014531842,0.00015289614,0.00005102619,0.000023436132,0.000119909804,0.000049077556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006230687,0.00018733436,0.82498556,0.000077707096,0.000082739905,0.00067651103,0.0009746127,8.855758e-7,0.15155531,0.0024847884,0.0034816875,0.014869791],"study_design_scores_gemma":[0.022677956,0.008057343,0.77996683,0.0005331037,0.00081161107,0.0013337834,0.00039814215,0.00076899136,0.09790467,0.0011751193,0.085536934,0.000835519],"about_ca_topic_score_codex":0.00002313575,"about_ca_topic_score_gemma":0.000005756328,"teacher_disagreement_score":0.08205525,"about_ca_system_score_codex":0.000064462074,"about_ca_system_score_gemma":0.000038991675,"threshold_uncertainty_score":0.42294246},"labels":[],"label_agreement":null},{"id":"W2515775378","doi":"10.1007/s00330-016-4524-y","title":"Abdominal aortic aneurysm follow-up by shear wave elasticity imaging after endovascular repair in a canine model","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"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; École de Technologie Supérieure; Université de Montréal; Université du Québec; Centre de Santé et de Services Sociaux Cavendish; Espace pour la vie","funders":"","keywords":"Medicine; Thrombus; Radiology; Abdominal aortic aneurysm; Aneurysm; Aortic aneurysm; Angiography; Surgery","score_opus":0.011320999215271124,"score_gpt":0.22978794706194525,"score_spread":0.21846694784667411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515775378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894174,0.0006434046,0.0061097112,0.00078238966,0.00020923922,0.00045406923,0.000038143586,0.0002709714,0.0020747078],"genre_scores_gemma":[0.9920661,0.00006487746,0.0021212192,0.0011726033,0.00014352771,0.000041469626,0.000018128922,0.00010584656,0.0042662425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970587,0.00051296747,0.0006486426,0.0008093412,0.00023649943,0.000733856],"domain_scores_gemma":[0.99868536,0.00013897843,0.00012072129,0.0007088361,0.000059925365,0.00028615491],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048913487,0.00036294686,0.00061385136,0.0001717623,0.000049657952,0.0000053554004,0.00012982514,0.00007211981,0.0002597048],"category_scores_gemma":[0.00044183218,0.00025401055,0.00028272741,0.00013764194,0.0002846796,0.00010537402,0.00012952108,0.00025308854,0.00030703502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004853756,0.0009724817,0.7888938,0.00015737693,0.0007338092,0.08154446,0.0013869903,0.00012592957,0.07191293,0.000075364354,0.03439957,0.014943533],"study_design_scores_gemma":[0.029338796,0.0017694343,0.86667615,0.00045306806,0.0011647372,0.025293564,0.00009761646,0.0693514,0.0014222114,0.00017043111,0.0030350029,0.0012275705],"about_ca_topic_score_codex":0.00006531245,"about_ca_topic_score_gemma":0.000010377332,"teacher_disagreement_score":0.07778237,"about_ca_system_score_codex":0.00027984314,"about_ca_system_score_gemma":0.00009583977,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W2517363652","doi":"10.1007/s00330-016-4531-z","title":"Resting-state fMRI revealed different brain activities responding to valproic acid and levetiracetam in benign epilepsy with central-temporal spikes","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval; National Natural Science Foundation of China; Wellcome","keywords":"Levetiracetam; Thalamus; Epilepsy; Valproic Acid; Neuroscience; Functional magnetic resonance imaging; Resting state fMRI; Medicine; Brain activity and meditation; Psychology; Electroencephalography","score_opus":0.030107593070038293,"score_gpt":0.2499617438511422,"score_spread":0.2198541507811039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517363652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98197204,0.00006605002,0.00089230353,0.014636084,0.00028499818,0.00041939016,0.00002837445,0.00013562046,0.0015651678],"genre_scores_gemma":[0.99422693,0.000039156854,0.0002624703,0.0020656497,0.00015806915,0.000026696449,0.000001205696,0.00005875372,0.003161081],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9956003,0.002152619,0.00033464513,0.0010068525,0.0002052186,0.00070037093],"domain_scores_gemma":[0.9935852,0.005720611,0.00014908587,0.00035796312,0.000021841712,0.00016529002],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00080947985,0.00032332342,0.00044768336,0.0005331016,0.00022359939,0.0000434703,0.00026541026,0.000038256927,0.000022489154],"category_scores_gemma":[0.008512325,0.00021442334,0.00004416088,0.00042710642,0.00036120857,0.00021587695,0.00026651355,0.00023828886,0.00003980963],"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":[0.0015318528,0.00007028356,0.17235246,0.00002788953,0.000017520595,0.0006654066,0.0024625382,0.000057507576,0.8125821,0.0013185935,0.003739531,0.005174311],"study_design_scores_gemma":[0.0028373476,0.0022245992,0.9337804,0.00033965267,0.000013789438,0.00063036627,0.00029395448,0.000032766166,0.048124813,0.0006871036,0.010291676,0.00074357813],"about_ca_topic_score_codex":0.000010517278,"about_ca_topic_score_gemma":0.00016261287,"teacher_disagreement_score":0.7644573,"about_ca_system_score_codex":0.0001514142,"about_ca_system_score_gemma":0.000037045203,"threshold_uncertainty_score":0.9998394},"labels":[],"label_agreement":null},{"id":"W2523666037","doi":"10.1007/s00330-016-4587-9","title":"MR signal in the sacroiliac joint space in spondyloarthritis: a new sign","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital","funders":"","keywords":"Medicine; Ankylosis; Sacroiliitis; Sacroiliac joint; SIGNAL (programming language); Radiology; Joint (building); Magnetic resonance imaging; Nuclear medicine; Surgery","score_opus":0.023020716188582747,"score_gpt":0.24448377647189246,"score_spread":0.2214630602833097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523666037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598875,0.004500214,0.00008446395,0.009246912,0.00020494165,0.0004861907,0.000012588219,0.000045230874,0.025531976],"genre_scores_gemma":[0.995251,0.0008791518,0.00023388537,0.0011801803,0.00036032143,0.000015923257,0.00000728501,0.00003220865,0.0020400358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981003,0.0005678671,0.0003438458,0.00037872884,0.00013223631,0.00047702368],"domain_scores_gemma":[0.99928737,0.00019055181,0.00006332078,0.0003390367,0.000018762648,0.000100955214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047896002,0.00020037181,0.00040948635,0.00014739488,0.0000505647,0.000009050402,0.00014055052,0.00005213267,0.00039027262],"category_scores_gemma":[0.00015999688,0.00011197996,0.00009585411,0.00021360742,0.00016495801,0.000046495283,0.0000635184,0.00019897433,0.00065931573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00244862,0.0012806567,0.4318121,0.000048551807,0.00029813405,0.060056385,0.009122464,0.0000100974585,0.043355748,0.0070958654,0.09824161,0.34622976],"study_design_scores_gemma":[0.015804265,0.001916187,0.88555413,0.00042429173,0.000035066703,0.002587607,0.0005213041,0.0000026330356,0.00034564626,0.00051965343,0.09202756,0.00026166037],"about_ca_topic_score_codex":0.00010659675,"about_ca_topic_score_gemma":0.00028392198,"teacher_disagreement_score":0.453742,"about_ca_system_score_codex":0.00008759925,"about_ca_system_score_gemma":0.000056943456,"threshold_uncertainty_score":0.847439},"labels":[],"label_agreement":null},{"id":"W2529186182","doi":"10.1007/s00330-016-4602-1","title":"Technical feasibility and tissue reaction after silicone-covered biodegradable magnesium stent insertion in the oesophagus: a primary study in vitro and in vivo","year":2016,"lang":"en","type":"article","venue":"European Radiology","topic":"Esophageal and GI Pathology","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"NIH Clinical Center; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China; Jiangsu Provincial Clinical Orthopedic Center","keywords":"Stent; Medicine; Silicone; Surgery; In vivo; Materials science","score_opus":0.019755564058093006,"score_gpt":0.2604880720685437,"score_spread":0.24073250801045068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529186182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99474114,0.002900905,0.000006980307,0.00094601995,0.00005873749,0.0008669519,0.0000072137577,0.000022669261,0.000449367],"genre_scores_gemma":[0.99888384,0.00018355726,0.00006937102,0.00060482346,0.00005787809,0.000045499513,0.0000042018137,0.000013895528,0.00013690215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759895,0.0012569755,0.0003654993,0.0004565877,0.000080416,0.00024155843],"domain_scores_gemma":[0.99941504,0.00016788862,0.000055267854,0.00029897192,0.000014286126,0.000048563033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013062439,0.00014671989,0.0003469479,0.00019103035,0.000020127098,0.0000058701235,0.00007494989,0.000088117835,0.000013104673],"category_scores_gemma":[0.00014483504,0.000083760024,0.00001929817,0.00016529714,0.00018035198,0.00008345248,0.00007700416,0.00024907358,0.000010896052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002502285,0.000542395,0.6419056,0.0000331704,0.000002706123,0.001736029,0.00056477264,5.8237216e-8,0.3454133,0.0000046834766,0.000023310478,0.0072716954],"study_design_scores_gemma":[0.003995994,0.0011483132,0.9924547,0.00002248889,0.00001639652,0.00083663606,0.00013691503,0.0000030070446,0.0011000227,0.00006422327,0.00013809664,0.00008319473],"about_ca_topic_score_codex":0.000080159276,"about_ca_topic_score_gemma":0.0002878322,"teacher_disagreement_score":0.3505491,"about_ca_system_score_codex":0.0001270489,"about_ca_system_score_gemma":0.000020865164,"threshold_uncertainty_score":0.34156346},"labels":[],"label_agreement":null},{"id":"W2538058356","doi":"10.1007/s00330-016-4640-8","title":"Reply to Letter to the Editor re: Should fat in the radiofrequency ablation zone of hepatocellular adenomas raise suspicion for residual tumour?","year":2016,"lang":"en","type":"letter","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Interventional radiology; Radiofrequency ablation; Hepatocellular carcinoma; Neuroradiology; Radiology; Ablation; Ultrasound; General surgery; Internal medicine; Neurology","score_opus":0.03800046109514853,"score_gpt":0.27201092420300055,"score_spread":0.234010463107852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538058356","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":[0.018311746,0.0014355775,0.0002573326,0.9725773,0.0023492083,0.003755654,0.00025203443,0.000038426133,0.0010227179],"genre_scores_gemma":[0.060442332,0.00012252662,0.0002493414,0.839455,0.09656937,0.00051229296,0.0007142848,0.00013934703,0.0017954832],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963018,0.0013592782,0.0006826913,0.00073104224,0.00038321773,0.00054198585],"domain_scores_gemma":[0.99760157,0.0007707557,0.00025542467,0.0011288718,0.00013560164,0.00010779598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011034112,0.00040144497,0.0006701881,0.00021256064,0.00009640258,0.000021965727,0.00054856035,0.00023623467,0.00009224737],"category_scores_gemma":[0.00036390105,0.00020692112,0.00026340442,0.0001667126,0.0001151042,0.000036447083,0.000085367894,0.0006433476,0.00021435696],"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":[0.00033204863,0.00007427041,0.002651884,0.00010071485,0.00015463395,0.001421987,0.0010521942,0.0000048995844,0.00067342457,0.00003954854,0.99249095,0.0010034457],"study_design_scores_gemma":[0.0015537153,0.0012751275,0.012185721,0.00028412702,0.00035310336,0.000061235296,0.000027902619,0.0000027532787,0.000319083,0.000024386038,0.98368555,0.00022727357],"about_ca_topic_score_codex":0.0000752786,"about_ca_topic_score_gemma":0.0000071871527,"teacher_disagreement_score":0.13312228,"about_ca_system_score_codex":0.00019344962,"about_ca_system_score_gemma":0.00007021368,"threshold_uncertainty_score":0.8437998},"labels":[],"label_agreement":null},{"id":"W2561591037","doi":"10.1007/s00330-016-4702-y","title":"Treatment of cerebral vasospasm following aneurysmal subarachnoid haemorrhage: a systematic review and meta-analysis","year":2016,"lang":"en","type":"review","venue":"European Radiology","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":false,"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; Hôpital Notre-Dame","funders":"","keywords":"Medicine; Cerebral vasospasm; Vasospasm; Modified Rankin Scale; Subarachnoid hemorrhage; Confidence interval; Meta-analysis; Relative risk; Randomized controlled trial; Internal medicine; Surgery; Ischemia","score_opus":0.06726102552290457,"score_gpt":0.32435009499805173,"score_spread":0.25708906947514715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561591037","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":[0.000014054393,0.9946631,0.00005440143,0.00038086978,0.000050785184,0.0031901656,0.00021574255,0.00007155287,0.0013592942],"genre_scores_gemma":[0.0009994003,0.9923729,0.0002286223,0.00017460795,0.00008091482,0.00040773416,0.0003922699,0.00006895525,0.005274641],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99576074,0.0015627268,0.0014353234,0.0007387272,0.00015794553,0.0003445162],"domain_scores_gemma":[0.9973778,0.00032020276,0.0008548274,0.0012106004,0.00007038089,0.00016616425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034543767,0.0007035378,0.011225441,0.0003636639,0.00009247634,0.000013134322,0.00024466138,0.00013426137,0.00031297992],"category_scores_gemma":[0.00009683681,0.00035751026,0.00500403,0.00049277605,0.00012373728,0.000036499732,0.000057824527,0.00014908318,0.0003128026],"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":[0.000010256946,0.00031975345,0.000022208675,0.7561423,0.23071189,0.0019825972,0.000060772338,5.6382373e-8,0.0000011442178,0.00036760734,0.00007895498,0.010302416],"study_design_scores_gemma":[0.0003694868,0.00060539466,0.0000138861515,0.00293529,0.9801425,0.0046828524,0.0000024187614,0.0000010944746,3.2033154e-7,0.0000038769476,0.010975809,0.00026712145],"about_ca_topic_score_codex":0.0000069924204,"about_ca_topic_score_gemma":0.0000014116796,"teacher_disagreement_score":0.753207,"about_ca_system_score_codex":0.00009969774,"about_ca_system_score_gemma":0.00007458893,"threshold_uncertainty_score":0.9998877},"labels":[],"label_agreement":null},{"id":"W2572030640","doi":"10.1007/s00330-017-4739-6","title":"Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose – a prospective intra-individual comparative study","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Nodule (geology); Nuclear medicine; Radiology; Lung cancer; Effective dose (radiation); Neuroradiology; Interventional radiology; Lung; Solitary pulmonary nodule; Prospective cohort study; Computed tomography; Internal medicine","score_opus":0.030301392956330022,"score_gpt":0.27149412551117963,"score_spread":0.2411927325548496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572030640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537386,0.00017300778,0.035253435,0.000027715829,0.00054074987,0.0013358088,0.000034760564,0.000337822,0.008558138],"genre_scores_gemma":[0.997249,0.000012959218,0.0019790856,0.00002005303,0.00041114033,0.0001169482,0.000017123413,0.00007352693,0.000120171346],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986354,0.00015446344,0.00024471126,0.0004272632,0.000104166094,0.00043398078],"domain_scores_gemma":[0.9991446,0.00008732337,0.0001230682,0.00049614446,0.000055092278,0.00009377355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033146472,0.00029669888,0.00036527688,0.00007539308,0.0004772415,0.00007852963,0.00040264163,0.000023898876,0.000011751888],"category_scores_gemma":[0.000047430327,0.00025609124,0.00006110297,0.00006040389,0.00020150309,0.0003171128,0.000045810906,0.00032159983,0.000050266615],"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":[0.004907726,0.0028082512,0.15346754,0.00054645335,0.0044138497,0.0044972226,0.046830516,0.2676467,0.3447182,0.0007089634,0.0010613544,0.16839322],"study_design_scores_gemma":[0.0055314596,0.002679058,0.962423,0.00006559505,0.00022107821,0.00049355987,0.003969089,0.009428485,0.011010766,0.00024821944,0.0029331497,0.0009965069],"about_ca_topic_score_codex":0.00000466925,"about_ca_topic_score_gemma":0.000024203644,"teacher_disagreement_score":0.8089555,"about_ca_system_score_codex":0.00007089929,"about_ca_system_score_gemma":0.000011903217,"threshold_uncertainty_score":0.99998915},"labels":[],"label_agreement":null},{"id":"W2595538986","doi":"10.1007/s00330-017-4785-0","title":"Diagnostic accuracy of virtual non-contrast enhanced dual-energy CT for diagnosis of adrenal adenoma: A systematic review and meta-analysis","year":2017,"lang":"en","type":"review","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McMaster University; Ottawa Hospital","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Contrast (vision); Interventional radiology; Ultrasound; Meta-analysis; Adenoma; Medical physics; Adrenocortical adenoma; Pathology; Artificial intelligence; Neurology; Computer science","score_opus":0.051557748452125955,"score_gpt":0.31439289948948096,"score_spread":0.262835151037355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595538986","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":[0.0000047660023,0.9797411,0.017832099,0.000007896396,0.00010752471,0.00150247,0.00044321903,0.0000446293,0.00031629094],"genre_scores_gemma":[0.0064898864,0.99173087,0.00027060087,0.00003956285,0.000085680455,0.0009864862,0.00015082082,0.00012267168,0.00012342945],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9962567,0.0007798797,0.001954447,0.00050768943,0.000121503275,0.00037977434],"domain_scores_gemma":[0.99229217,0.004851323,0.0016110082,0.001032806,0.00010248665,0.00011018899],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083274243,0.0006692862,0.0108518135,0.00032789048,0.00007406322,0.000019638774,0.00061258837,0.000081679485,0.000054776618],"category_scores_gemma":[0.0029822425,0.00049844675,0.002339413,0.0002597861,0.00017858479,0.00012698033,0.000113503935,0.00025130773,0.000009693961],"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":[0.0000028764161,0.00004182627,0.0000010781329,0.851668,0.12390244,0.00008592936,0.000053789467,0.00038576388,0.0000026300268,0.0002119692,0.0003099529,0.023333766],"study_design_scores_gemma":[0.00029445323,0.00015055745,0.00000535569,0.03742554,0.9310508,0.00023552393,0.000009798523,0.000072433904,0.000024105639,0.000011805565,0.03005022,0.00066940667],"about_ca_topic_score_codex":0.0000047189706,"about_ca_topic_score_gemma":0.0000055662645,"teacher_disagreement_score":0.8142424,"about_ca_system_score_codex":0.000033992026,"about_ca_system_score_gemma":0.00003600651,"threshold_uncertainty_score":0.99974674},"labels":[],"label_agreement":null},{"id":"W2603257917","doi":"10.1007/s00330-017-4767-2","title":"Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"Lung Cancer Diagnosis and Treatment","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":"BC Cancer Agency","funders":"Radboud Universitair Medisch Centrum","keywords":"Medicine; Malignancy; Nodule (geology); Lung; Neuroradiology; Lung cancer; Radiology; Interventional radiology; Solitary pulmonary nodule; Lung cancer screening; Nuclear medicine; Internal medicine","score_opus":0.03991397217698741,"score_gpt":0.3372322009852612,"score_spread":0.2973182288082738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603257917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99262446,0.0035800652,0.0009856826,0.0012819694,0.0001369482,0.00030968126,0.0000967832,0.00002083043,0.0009635718],"genre_scores_gemma":[0.99577534,0.00081142614,0.0029832148,0.000086346845,0.000099231576,0.0000060683856,0.000030769053,0.00002460858,0.00018296576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874926,0.00023822727,0.0004926035,0.00025356666,0.00011990294,0.00014645558],"domain_scores_gemma":[0.99836826,0.00007481453,0.0006015561,0.00075429364,0.00013945908,0.00006162837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038517796,0.00014902557,0.00044733382,0.000042009247,0.00018518476,0.000006846164,0.00017835405,0.00002980013,0.00002131918],"category_scores_gemma":[0.0005600185,0.00009390272,0.00008622122,0.00003446229,0.00027942687,0.000034591547,0.00015035414,0.000093670664,0.000004268727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021041138,0.00017222413,0.9571211,0.00014425436,0.00023690051,0.000020011608,0.00026057273,0.005550491,0.0020127934,0.00021243964,0.008869813,0.025189018],"study_design_scores_gemma":[0.0020655987,0.00031542152,0.7865518,0.000348333,0.0004290565,0.000058939473,0.000013755243,0.20345889,0.006290591,0.00004334542,0.00033021896,0.00009406345],"about_ca_topic_score_codex":0.00021237237,"about_ca_topic_score_gemma":0.00009480049,"teacher_disagreement_score":0.1979084,"about_ca_system_score_codex":0.000052722065,"about_ca_system_score_gemma":0.000035316134,"threshold_uncertainty_score":0.3829242},"labels":[],"label_agreement":null},{"id":"W2616870914","doi":"10.1007/s00330-017-4872-2","title":"An evaluation of patient experience during percutaneous breast biopsy","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Biopsy; Radiology; Breast biopsy; Percutaneous; Interventional radiology; Surgery; Breast cancer; Mammography; Internal medicine; Cancer","score_opus":0.02829087522390071,"score_gpt":0.2960581996358736,"score_spread":0.2677673244119729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616870914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898455,0.00010266074,0.000009397587,0.00011138687,0.00016180042,0.00013866427,0.0000063401167,0.000022650362,0.009601573],"genre_scores_gemma":[0.9995225,0.000006421533,0.00020101895,0.000035056742,0.00015291793,0.0000028686434,0.000009310497,0.000017231097,0.00005265026],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99899834,0.00027465183,0.00018178576,0.00022481244,0.00016965232,0.00015074764],"domain_scores_gemma":[0.9988582,0.000007442505,0.00013541587,0.0007561647,0.00014194532,0.00010080216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002967312,0.00008649583,0.00016696895,0.000048817332,0.00017225061,0.000010871119,0.0001679856,0.00003057929,0.00024688442],"category_scores_gemma":[0.00007296099,0.000070803435,0.000045495977,0.000021127607,0.00020003282,0.00005920975,0.000051577274,0.000080230384,0.000037529862],"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":[0.00037577044,0.00025837717,0.12156084,0.00003137375,0.00004098435,0.001304354,0.004824114,0.000057960075,0.7984751,0.00016922869,0.000048021782,0.07285391],"study_design_scores_gemma":[0.000550043,0.00025035616,0.96349466,0.000028147666,0.000047661237,0.033517346,0.00040463745,0.0004271211,0.0011361996,0.000006907096,0.0000650071,0.00007188848],"about_ca_topic_score_codex":0.00002579944,"about_ca_topic_score_gemma":0.0000011389951,"teacher_disagreement_score":0.84193385,"about_ca_system_score_codex":0.000035389796,"about_ca_system_score_gemma":0.00003636823,"threshold_uncertainty_score":0.28872803},"labels":[],"label_agreement":null},{"id":"W2726826914","doi":"10.1007/s00330-017-4933-6","title":"Repeatability of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0 Tesla in orbital lesions","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Repeatability; Intravoxel incoherent motion; Nuclear medicine; Coefficient of variation; Medicine; Effective diffusion coefficient; Mathematics; Magnetic resonance imaging; Radiology; Statistics","score_opus":0.035496262526327406,"score_gpt":0.29374387782033307,"score_spread":0.25824761529400564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726826914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944336,0.0002927125,0.0001585495,0.0010368216,0.0002902575,0.000437378,0.000017948369,0.000022081736,0.0033106578],"genre_scores_gemma":[0.9989105,0.00037498574,0.00041890127,0.00007788132,0.000055898556,0.000012743267,0.000027213675,0.000019327934,0.00010253994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850094,0.0003322659,0.00041404605,0.00041661097,0.00012209873,0.0002140454],"domain_scores_gemma":[0.99864316,0.00017157145,0.0002363432,0.0007896765,0.000040491355,0.00011877683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061583676,0.00013931791,0.00038450287,0.00009419325,0.000119518576,0.000009446521,0.00016404904,0.00005606541,0.000064782784],"category_scores_gemma":[0.0005414576,0.00011611239,0.000055217093,0.00004330302,0.00049112394,0.00003523716,0.0003349605,0.00018176992,0.000015464982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002525544,0.0003881165,0.97359914,0.000100315614,0.000021461841,0.00012736673,0.0006408004,0.000090393936,0.0053001978,0.00007738458,0.0013252746,0.018076986],"study_design_scores_gemma":[0.001552614,0.00046225818,0.99471116,0.00013401391,0.000035697936,0.00014060587,0.00006713148,0.00046614907,0.0014354091,0.000020271107,0.00087581656,0.000098850025],"about_ca_topic_score_codex":0.00016628887,"about_ca_topic_score_gemma":0.000073590534,"teacher_disagreement_score":0.021112034,"about_ca_system_score_codex":0.00018576054,"about_ca_system_score_gemma":0.000022376205,"threshold_uncertainty_score":0.4734926},"labels":[],"label_agreement":null},{"id":"W2729485920","doi":"10.1007/s00330-017-4889-6","title":"Recommendations for radioembolisation after liver surgery using yttrium-90 resin microspheres based on a survey of an international expert panel","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","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":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Medical prescription; Interventional radiology; Surgery; Pharmacology","score_opus":0.37676947009839834,"score_gpt":0.34030531322056656,"score_spread":0.03646415687783178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729485920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959085,0.00016255834,0.0011233914,0.00059687,0.00053419144,0.0003408177,0.00017095651,0.000018974411,0.001143741],"genre_scores_gemma":[0.9926368,0.000059458915,0.0053429618,0.00042066743,0.0002956724,0.000020744534,0.000978197,0.000036881775,0.00020863883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857044,0.00060936343,0.00029743227,0.00027597774,0.000079578545,0.00016718825],"domain_scores_gemma":[0.9986949,0.0003820614,0.00022149654,0.00046862973,0.00015520473,0.00007772167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083599606,0.00013484026,0.00029552268,0.000116387935,0.00013821757,0.000032145723,0.00014623061,0.000060267834,0.000411602],"category_scores_gemma":[0.0005019681,0.00012111033,0.00012518156,0.00003403958,0.000110567766,0.00011893121,0.000024067536,0.00007060488,0.000026352755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001990212,0.0003022917,0.9733734,0.000023727554,0.0001163684,0.000113219874,0.00024842637,0.000006218241,0.00449871,0.000011584883,0.0056053405,0.013710514],"study_design_scores_gemma":[0.0015572342,0.00031697418,0.9745975,0.00007855838,0.000052957905,0.000036385605,0.000012049876,0.013157875,0.00356535,0.000002922457,0.0064899125,0.00013228455],"about_ca_topic_score_codex":0.00040178184,"about_ca_topic_score_gemma":0.00003298549,"teacher_disagreement_score":0.013578229,"about_ca_system_score_codex":0.00005842341,"about_ca_system_score_gemma":0.000074004995,"threshold_uncertainty_score":0.4938736},"labels":[],"label_agreement":null},{"id":"W2743228358","doi":"10.1007/s00330-017-4988-4","title":"Renal angiomyolipoma without visible fat: Can we make the diagnosis using CT and MRI?","year":2017,"lang":"en","type":"review","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Neuroradiology; Medicine; Interventional radiology; Radiology; Angiomyolipoma; Ultrasound; Magnetic resonance imaging; Kidney; Neurology; Internal medicine","score_opus":0.2554168659932295,"score_gpt":0.41096291687351455,"score_spread":0.15554605088028506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743228358","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":[0.001001474,0.991698,0.000030973762,0.0009830463,0.0003072431,0.0013665541,0.00007873043,0.00008292861,0.004450995],"genre_scores_gemma":[0.00089438586,0.9944791,0.000419449,0.00021293956,0.0016563118,0.00006289329,0.0000653418,0.00021702147,0.0019925484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99499506,0.0023472789,0.0006683332,0.00087687024,0.00029605636,0.0008163959],"domain_scores_gemma":[0.9968628,0.00050757447,0.0004654949,0.0017643588,0.000078514095,0.00032123813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012081177,0.0005892384,0.002235697,0.00034904398,0.0005395272,0.00013593194,0.00091674156,0.00011023215,0.00012194728],"category_scores_gemma":[0.00040767263,0.00036322593,0.00044638308,0.00020706233,0.00092761073,0.000034499968,0.0007037077,0.0011411086,0.00019228978],"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":[0.000020959407,0.000042373267,0.0012519136,0.0025166029,0.0005499004,0.0017025946,0.000102512524,9.660795e-7,0.000015151154,0.00010969064,0.009613018,0.9840743],"study_design_scores_gemma":[0.00054683007,0.00024887925,0.0021081741,0.0070798476,0.00093898486,0.012283495,0.000009459495,0.000028547704,0.0000011915469,0.000011478111,0.9764123,0.00033079926],"about_ca_topic_score_codex":0.00014941856,"about_ca_topic_score_gemma":0.00005423275,"teacher_disagreement_score":0.98374355,"about_ca_system_score_codex":0.00017506433,"about_ca_system_score_gemma":0.000332101,"threshold_uncertainty_score":0.999882},"labels":[],"label_agreement":null},{"id":"W2767388797","doi":"10.1007/s00330-017-5072-9","title":"Hip shape is symmetric, non-dependent on limb dominance and gender-specific: implications for femoroacetabular impingement. A 3D CT analysis in asymptomatic subjects","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Femoroacetabular impingement; Asymptomatic; Medicine; Neuroradiology; Interventional radiology; Radiology; Acetabulum; Anatomy; Surgery; Neurology","score_opus":0.046950952773638255,"score_gpt":0.31313434042926297,"score_spread":0.2661833876556247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767388797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983411,0.0015326438,0.00067511795,0.001202099,0.00009507152,0.0009104557,0.000036964553,0.0000262648,0.012110371],"genre_scores_gemma":[0.9967412,0.0010808082,0.001034175,0.00048799845,0.00007442107,0.00007372029,0.000054192657,0.000038116657,0.00041541253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851125,0.000121940415,0.00033389812,0.00057988736,0.00008998306,0.00036306388],"domain_scores_gemma":[0.99856657,0.00015945244,0.00022582983,0.00088266446,0.000043903543,0.00012158645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040983997,0.00021990282,0.0005527754,0.00046303077,0.0002703135,0.000047051763,0.00022392129,0.000040286923,0.000049459435],"category_scores_gemma":[0.00016578838,0.00018870636,0.00014986632,0.00022421114,0.000092473616,0.000053661995,0.000076469456,0.000121895326,0.00007392763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004137542,0.00084090035,0.9235849,0.00013396067,0.0019841588,0.00038392862,0.000982727,0.000016115337,0.0013056151,0.0011707591,0.002084261,0.067098945],"study_design_scores_gemma":[0.004444527,0.00055783655,0.99135727,0.00002216069,0.0005514137,0.00007431014,0.00004083648,0.0007985989,0.00008358302,0.00013472176,0.0017674895,0.00016722752],"about_ca_topic_score_codex":0.000019582583,"about_ca_topic_score_gemma":0.000018306228,"teacher_disagreement_score":0.06777242,"about_ca_system_score_codex":0.00008385647,"about_ca_system_score_gemma":0.000022716926,"threshold_uncertainty_score":0.7695222},"labels":[],"label_agreement":null},{"id":"W2775617894","doi":"10.1007/s00330-017-5156-6","title":"Prediction of the histopathologic findings of intrahepatic cholangiocarcinoma: qualitative and quantitative assessment of diffusion-weighted imaging","year":2017,"lang":"en","type":"article","venue":"European Radiology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Effective diffusion coefficient; Diffusion MRI; Magnetic resonance imaging; Intrahepatic Cholangiocarcinoma; Interventional radiology; Nuclear medicine; Hyperintensity; Radiology; Ultrasound; Pathology; Neurology","score_opus":0.049622511488328594,"score_gpt":0.32980276315055645,"score_spread":0.2801802516622279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775617894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906136,0.0017276639,0.00025980244,0.0005234363,0.00021580064,0.00023970158,0.0000436731,0.000009574104,0.0063667963],"genre_scores_gemma":[0.99868697,0.00015209333,0.0009755685,0.00004970544,0.000035310888,0.0000035521953,0.0000061664614,0.000012666671,0.0000779577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986738,0.00045256567,0.0004028433,0.00021277822,0.00013059565,0.0001273909],"domain_scores_gemma":[0.9987182,0.00019671157,0.0004970214,0.0004114123,0.00014343353,0.000033207612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006198454,0.000121438745,0.0004713996,0.0000883861,0.00013576758,0.0000041704034,0.00017784204,0.00002703248,0.000009839263],"category_scores_gemma":[0.00040027313,0.000079251186,0.00010780969,0.00005680096,0.0010034285,0.000052951615,0.00019042657,0.00015106394,5.879238e-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":[0.000094574185,0.00007084937,0.95171505,0.00013842982,0.000092619586,0.000020368687,0.01181503,3.3638185e-7,0.033693723,0.0016253056,0.00020964869,0.00052406994],"study_design_scores_gemma":[0.0013290632,0.00048623496,0.9948935,0.00016385672,0.00016146064,0.0000678515,0.0016001783,0.00019463785,0.0008167959,0.00019144324,0.00003991643,0.000055069435],"about_ca_topic_score_codex":0.000068981986,"about_ca_topic_score_gemma":0.000004615121,"teacher_disagreement_score":0.04317845,"about_ca_system_score_codex":0.00003853524,"about_ca_system_score_gemma":0.00004008699,"threshold_uncertainty_score":0.3697174},"labels":[],"label_agreement":null},{"id":"W2782425054","doi":"10.1007/s00330-017-5214-0","title":"Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Royal Victoria Hospital; McGill University; Jewish General Hospital","funders":"","keywords":"Texture (cosmology); Computer science; Artificial intelligence; Energy (signal processing); Pattern recognition (psychology); Linear discriminant analysis; Medicine; Radiology; Nuclear medicine; Image (mathematics); Statistics; Mathematics","score_opus":0.04298193117570142,"score_gpt":0.27244855928803996,"score_spread":0.22946662811233853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782425054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5433377,0.0001339481,0.45559287,0.00003703094,0.000060861024,0.00012075956,0.000005933549,0.00018425816,0.0005266524],"genre_scores_gemma":[0.95158607,0.000008990567,0.04772858,0.000035551187,0.00031986946,0.0000105246945,0.00019174344,0.0000679841,0.00005069555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859303,0.00028376645,0.00036940078,0.00036832705,0.0000875925,0.00029790757],"domain_scores_gemma":[0.9991625,0.00011208591,0.00022848656,0.0002884548,0.000104354636,0.00010410956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031618285,0.00021819733,0.0003121788,0.00024052213,0.00020301253,0.000025701649,0.00018613119,0.000037913585,0.000013143093],"category_scores_gemma":[0.00010773108,0.00020907214,0.000050571198,0.0006556956,0.00022538703,0.00022934357,0.000013344997,0.0001996322,0.0000054893185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006932924,0.00004482082,0.14598545,0.000050761548,0.00031084748,0.000020887099,0.0012697971,0.56530035,0.2760274,0.003561027,0.000017317745,0.0073420075],"study_design_scores_gemma":[0.00042558153,0.00032619096,0.13722646,0.00002584964,0.0002335206,0.00012509366,0.00020159768,0.8548494,0.005802542,0.00015828594,0.00036696126,0.0002585204],"about_ca_topic_score_codex":0.000043144097,"about_ca_topic_score_gemma":0.00007363036,"teacher_disagreement_score":0.4082484,"about_ca_system_score_codex":0.00006519233,"about_ca_system_score_gemma":0.000027477015,"threshold_uncertainty_score":0.8525714},"labels":[],"label_agreement":null},{"id":"W2787593267","doi":"10.1007/s00330-017-5220-2","title":"The prognostic and predictive value of vascular response parameters measured by dynamic contrast-enhanced-CT, -MRI and -US in patients with metastatic renal cell carcinoma receiving sunitinib","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University Health Network; Sunnybrook Health Science Centre; University of Toronto","funders":"Terry Fox Foundation","keywords":"Medicine; Sunitinib; Neuroradiology; Interventional radiology; Renal cell carcinoma; Dynamic contrast; Radiology; Ultrasound; Perfusion; Dynamic contrast-enhanced MRI; Magnetic resonance imaging; Nuclear medicine; Urology; Internal medicine; Oncology; Neurology","score_opus":0.008710466360610113,"score_gpt":0.2120397776120396,"score_spread":0.20332931125142947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787593267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667263,0.0013533991,0.00029088417,0.000061015293,0.000051587318,0.0010883168,0.00003492182,0.000016056832,0.0004312119],"genre_scores_gemma":[0.9988651,0.00006986754,0.00083834335,0.000059171984,0.000013120464,0.00002444139,0.000038893257,0.000043676326,0.00004737656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963428,0.0023000208,0.00037764735,0.00042439907,0.00021118569,0.00034396694],"domain_scores_gemma":[0.998231,0.0009396231,0.00020483253,0.00033524598,0.00015075342,0.0001385513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011236717,0.00023614375,0.00044949105,0.00011291877,0.00010059516,0.000013339943,0.000097542994,0.000025109182,0.0000033542574],"category_scores_gemma":[0.00050475576,0.00015057517,0.000041802185,0.00014425072,0.0007943069,0.000045727305,0.00005060333,0.00020408967,0.0000029318428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025347902,0.00050194835,0.93158066,0.00016792023,0.00070375134,0.0005761348,0.0031936367,0.000051804593,0.03488242,0.0000116108195,0.00017273799,0.0028094666],"study_design_scores_gemma":[0.0062575866,0.008266803,0.98037165,0.000110683424,0.00035174636,0.0001182957,0.00017279426,0.00031407754,0.0038421229,0.0000096749045,0.00005116132,0.00013342072],"about_ca_topic_score_codex":0.00002437287,"about_ca_topic_score_gemma":0.000013149086,"teacher_disagreement_score":0.048790965,"about_ca_system_score_codex":0.00010175502,"about_ca_system_score_gemma":0.000065508706,"threshold_uncertainty_score":0.61402774},"labels":[],"label_agreement":null},{"id":"W2789290377","doi":"10.1007/s00330-018-5324-3","title":"Are growth patterns on MRI in small (&lt; 4 cm) solid renal masses useful for predicting benign histology?","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Chromophobe cell; Neuroradiology; Oncocytoma; Clear cell; Angiomyolipoma; Interventional radiology; Renal oncocytoma; Histology; Radiology; Renal mass; Magnetic resonance imaging; Nuclear medicine; Pathology; Renal cell carcinoma; Kidney; Nephrectomy; Internal medicine; Neurology","score_opus":0.09048916077804314,"score_gpt":0.3134642086277523,"score_spread":0.22297504784970917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789290377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865311,0.00008118269,0.0018960832,0.0029159654,0.00042128583,0.0006741181,0.000045545075,0.00015496387,0.0072797732],"genre_scores_gemma":[0.9938446,0.000036732148,0.0017513884,0.0018847352,0.0016254084,0.000040483264,0.000057262143,0.00010227059,0.00065708626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698704,0.0008020616,0.0005060976,0.0007257456,0.00015120937,0.0008278602],"domain_scores_gemma":[0.99831986,0.0005210783,0.00021673592,0.0005491706,0.00019406134,0.00019910156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009987119,0.0002588948,0.00056752225,0.00037576098,0.0001521706,0.000017649872,0.00038897962,0.00012351706,0.00017945033],"category_scores_gemma":[0.0010589636,0.00023332966,0.000114980176,0.00016836227,0.0003645421,0.000039484443,0.00016515168,0.0005143626,0.00025556047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010404127,0.00025370345,0.95165616,0.00012237085,0.00011348699,0.00058012403,0.0007788318,0.000020636224,0.014487596,0.00060007704,0.029445872,0.0009007531],"study_design_scores_gemma":[0.0031352532,0.0032785465,0.97172266,0.00025544758,0.000038730013,0.00045027025,0.000104986335,0.00059007766,0.001475016,0.000119139026,0.018588694,0.00024117724],"about_ca_topic_score_codex":0.000037379017,"about_ca_topic_score_gemma":0.00047318728,"teacher_disagreement_score":0.020066526,"about_ca_system_score_codex":0.0002063346,"about_ca_system_score_gemma":0.000060826307,"threshold_uncertainty_score":0.95149076},"labels":[],"label_agreement":null},{"id":"W2790395575","doi":"10.1007/s00330-018-5354-x","title":"Reporting bias in imaging: higher accuracy is linked to faster publication","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Dalhousie University; University of Ottawa","funders":"University of Ottawa","keywords":"Youden's J statistic; Medicine; Publication bias; Neuroradiology; Meta-analysis; Logistic regression; Statistics; Internal medicine; Receiver operating characteristic; Mathematics","score_opus":0.7983463443372641,"score_gpt":0.5369916912783238,"score_spread":0.26135465305894034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790395575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6936497,0.00019332497,0.0066267927,0.018157065,0.00095923804,0.0005650567,0.000004094912,0.000020809734,0.2798239],"genre_scores_gemma":[0.95895964,0.0000022108607,0.0031334413,0.008928482,0.00055291795,0.000009612206,0.0000075779744,0.000018487233,0.028387647],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9692684,0.014662246,0.013247439,0.001278692,0.0011771382,0.00036612226],"domain_scores_gemma":[0.98485327,0.001797427,0.008740983,0.0033387733,0.0011102669,0.00015930356],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.12608409,0.00019938567,0.0016382483,0.000573637,0.000083767794,0.0005349118,0.0015001746,0.00003586538,0.01656033],"category_scores_gemma":[0.14014006,0.00010564041,0.0004655611,0.0013580803,0.0000800644,0.00024019054,0.00024833926,0.00014418182,0.0471098],"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":[0.000005550497,0.000019606716,0.26099193,0.00000471625,0.000034057124,0.00003740458,0.0017241744,0.0000035255014,0.0010246434,0.00054129376,0.6817273,0.053885825],"study_design_scores_gemma":[0.00008108501,0.000022007942,0.3658907,0.000008231645,0.0000130457975,0.00004284608,0.00006419269,0.00044033205,0.000012665045,0.00031496497,0.6330175,0.000092457005],"about_ca_topic_score_codex":0.0000086456885,"about_ca_topic_score_gemma":0.00000857924,"teacher_disagreement_score":0.26530993,"about_ca_system_score_codex":0.000028912811,"about_ca_system_score_gemma":0.000028023924,"threshold_uncertainty_score":0.98433864},"labels":[],"label_agreement":null},{"id":"W2790494446","doi":"10.1007/s00330-018-5331-4","title":"Late gadolinium enhancement of colorectal liver metastases post-chemotherapy is associated with tumour fibrosis and overall survival post-hepatectomy","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","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":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Hepatectomy; Interventional radiology; Chemotherapy; Neuroradiology; Ultrasound; Radiology; Overall survival; Internal medicine; Colorectal cancer; Gadolinium; Oncology; Surgery; Resection; Cancer","score_opus":0.02877064314932417,"score_gpt":0.2347478512133328,"score_spread":0.20597720806400863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790494446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616575,0.0006311368,0.00003419175,0.00043830436,0.00009400318,0.000439936,0.00011555931,0.00005559143,0.0020254957],"genre_scores_gemma":[0.99721354,0.0002566331,0.0007079709,0.0009063679,0.00013321453,0.000007705009,0.00020515367,0.000054971664,0.0005144142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826807,0.000532126,0.0003066511,0.00039102716,0.0001625419,0.00033956094],"domain_scores_gemma":[0.9990315,0.00014432202,0.00018705789,0.00020135529,0.00029559294,0.00014016152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040774405,0.00026279961,0.00057428516,0.00011298899,0.000078030076,0.000012208458,0.00008899311,0.00007072674,0.000629821],"category_scores_gemma":[0.00007046848,0.0001943179,0.00011258119,0.00012364908,0.00034196506,0.00005147673,0.00005100969,0.00012965535,0.00006626144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005248333,0.000563442,0.65869355,0.00007298197,0.0018074975,0.0008329776,0.003024548,1.2918078e-7,0.3261073,0.00003643187,0.0013433874,0.0022694208],"study_design_scores_gemma":[0.007070593,0.017203087,0.78864807,0.00012987255,0.00057970756,0.00021762522,0.00006510312,0.00026452227,0.18388876,0.000006222143,0.0015848783,0.00034156188],"about_ca_topic_score_codex":0.00012414524,"about_ca_topic_score_gemma":0.000026878604,"teacher_disagreement_score":0.14221853,"about_ca_system_score_codex":0.000043621836,"about_ca_system_score_gemma":0.000061023416,"threshold_uncertainty_score":0.79240537},"labels":[],"label_agreement":null},{"id":"W2791134868","doi":"10.1007/s00330-018-5315-4","title":"Helical CT with variable target noise levels for dose reduction in chest, abdomen and pelvis CT","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"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":"","keywords":"Medicine; Neuroradiology; Radiology; Abdomen; Pelvis; Interventional radiology; Ultrasound; Reduction (mathematics); Computed tomography; Nuclear medicine; Neurology","score_opus":0.021723217527602725,"score_gpt":0.270477433268627,"score_spread":0.24875421574102427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791134868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979747,0.00027042,0.0022946217,0.0013141012,0.00017092926,0.00038484274,0.00001005616,0.000052326373,0.015755678],"genre_scores_gemma":[0.9898675,0.00003577836,0.007382234,0.0005711931,0.0009066625,0.000010778644,0.000029860295,0.0000330346,0.0011629558],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99906623,0.0001393725,0.00019210303,0.00028858706,0.000051366835,0.00026231038],"domain_scores_gemma":[0.99958545,0.000050040806,0.000056975172,0.00017477512,0.000038954862,0.000093783136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005048976,0.00010862719,0.00022417479,0.00011689134,0.00006641577,0.000012879264,0.000053647178,0.0000140324,0.00010890793],"category_scores_gemma":[0.00012862973,0.000087175795,0.000019126295,0.00013286108,0.00016939179,0.00009424984,0.00002171104,0.00012057886,0.0000494834],"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":[0.0071465676,0.0011939916,0.18987791,0.00067715585,0.0008812001,0.00209548,0.011062707,0.00049037416,0.40566158,0.0079941815,0.12554498,0.24737386],"study_design_scores_gemma":[0.011111116,0.0029550865,0.57294226,0.00013189741,0.00010957824,0.008084394,0.0002949557,0.004587294,0.0065034144,0.00046837583,0.39236435,0.00044726153],"about_ca_topic_score_codex":0.000012393919,"about_ca_topic_score_gemma":7.4274004e-7,"teacher_disagreement_score":0.39915818,"about_ca_system_score_codex":0.000040511437,"about_ca_system_score_gemma":0.000051361523,"threshold_uncertainty_score":0.35549256},"labels":[],"label_agreement":null},{"id":"W2793059997","doi":"10.1007/s00330-018-5322-5","title":"Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Université de Montréal; University of Ottawa; Montreal Heart Institute; Women's College Hospital; St. Paul's Hospital","funders":"","keywords":"Nice; Guideline; Medicine; Neuroradiology; Pre- and post-test probability; Medical physics; Radiology; Neurology; Computer science; Pathology","score_opus":0.0377546926396214,"score_gpt":0.38041932736153955,"score_spread":0.34266463472191816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793059997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889927,0.00007090241,0.008928844,0.00051094097,0.00004534522,0.0011789574,0.000056733377,0.0000085924885,0.00020696882],"genre_scores_gemma":[0.98576653,0.0000125246415,0.013537271,0.000526816,0.00006365529,0.00001525691,0.00006604218,0.000011605634,2.914896e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764603,0.00091183494,0.00089508115,0.00028035307,0.00009897581,0.00016771279],"domain_scores_gemma":[0.9941362,0.004869684,0.00023625321,0.00040845602,0.00031564006,0.00003377517],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0063807834,0.00009423042,0.00032540967,0.000060262042,0.000029388802,0.000003962537,0.000090963855,0.000024667903,0.000008056358],"category_scores_gemma":[0.018882554,0.000063185194,0.000046936886,0.00016362724,0.0003730907,0.000024514866,0.000060068905,0.00012953414,4.642663e-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":[0.0006302815,0.000280413,0.9469471,0.00003717958,0.0000087197795,0.0000016502552,0.00023029228,0.00001445017,0.000010930069,0.000020542002,0.0007414537,0.05107702],"study_design_scores_gemma":[0.0024937289,0.000545473,0.99283427,0.00013537971,0.00003839393,0.0000072729554,0.000060805207,0.0008904764,0.0000052854925,0.00013523335,0.0027975342,0.000056119472],"about_ca_topic_score_codex":0.000025680203,"about_ca_topic_score_gemma":0.00004905257,"teacher_disagreement_score":0.051020898,"about_ca_system_score_codex":0.00003420193,"about_ca_system_score_gemma":0.0000552547,"threshold_uncertainty_score":0.9893818},"labels":[],"label_agreement":null},{"id":"W2794292724","doi":"10.1007/s00330-018-5312-7","title":"Magnetic resonance post-contrast vascular hyperintensities at 3 T: a new highly sensitive sign of vascular occlusion in acute ischaemic stroke","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Medicine; Neuroradiology; Hyperintensity; Magnetic resonance imaging; Ischaemic stroke; Interventional radiology; Stroke (engine); Sign (mathematics); Occlusion; Radiology; Vascular occlusion; Contrast (vision); Vascular disease; Neurology; Magnetic resonance angiography; Cardiology; Internal medicine; Ischemia","score_opus":0.007063660089152256,"score_gpt":0.212101294937478,"score_spread":0.20503763484832574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794292724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727769,0.0031721757,0.0006974001,0.00084749144,0.00032246293,0.00058828597,0.000035801313,0.00007982404,0.021479683],"genre_scores_gemma":[0.9872294,0.0006322095,0.0024441946,0.0024170042,0.0004960847,0.000003009074,0.00005065431,0.00007695929,0.006650463],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997625,0.00041690536,0.0005406031,0.0006211364,0.0002687972,0.00052757445],"domain_scores_gemma":[0.998639,0.00008972429,0.00015568578,0.00072143,0.00023064297,0.00016352792],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005109177,0.0003192333,0.0007420344,0.00027788625,0.00006324984,0.0000058477935,0.00023706071,0.00010381204,0.00016621448],"category_scores_gemma":[0.00019282903,0.00028944685,0.00021560764,0.00019574988,0.0005339614,0.000055087614,0.0004773478,0.00027898554,0.00033733473],"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":[0.0021428887,0.000122099,0.008857721,0.00007738778,0.00063602155,0.0048170257,0.004936462,0.000014656513,0.9214592,0.00021235923,0.04315208,0.013572116],"study_design_scores_gemma":[0.011453171,0.0055923136,0.74564445,0.00046197633,0.0009247646,0.0030243204,0.0014820945,0.00065598235,0.042311355,0.000012328499,0.18767644,0.0007608323],"about_ca_topic_score_codex":0.00014520103,"about_ca_topic_score_gemma":0.000026834436,"teacher_disagreement_score":0.8791478,"about_ca_system_score_codex":0.00018338679,"about_ca_system_score_gemma":0.000074021475,"threshold_uncertainty_score":0.9999558},"labels":[],"label_agreement":null},{"id":"W2797184942","doi":"10.1007/s00330-018-5412-4","title":"CT diagnosis of gallbladder adenomyomatosis: importance of enhancing mucosal epithelium, the “cotton ball sign”","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Adenomyomatosis; Medicine; Gallbladder; Sign (mathematics); Radiology; Malignancy; Gallbladder cancer; Neuroradiology; Anatomy; Gastroenterology; Internal medicine; Mathematics","score_opus":0.017035689206135886,"score_gpt":0.2567562801131807,"score_spread":0.2397205909070448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797184942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967481,0.006787786,0.000091405745,0.0013223968,0.0003399172,0.0002975519,0.0000150113565,0.000046112073,0.02361881],"genre_scores_gemma":[0.9971249,0.00050412654,0.00026181972,0.0010548034,0.00076024473,0.000021443942,0.000008022995,0.000045091892,0.00021953699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982156,0.0003142928,0.00059957395,0.00035280673,0.00017892162,0.00033876867],"domain_scores_gemma":[0.9985577,0.00027001035,0.0003140635,0.00059711485,0.00017989044,0.00008121914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656989,0.00021503898,0.0005784488,0.00009371467,0.00009246054,0.0000048401907,0.0002914004,0.000034997018,0.00028064608],"category_scores_gemma":[0.00024799,0.00014451494,0.00019629982,0.00020735414,0.00072076655,0.00004178966,0.00014318149,0.0001918327,0.00006106627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024508665,0.00015242788,0.9348168,0.00016908784,0.0006367018,0.00016573381,0.0041831206,0.0000014328712,0.025739083,0.00043666383,0.029170757,0.0042831413],"study_design_scores_gemma":[0.0011994363,0.0011120384,0.94796515,0.00015117427,0.0002877143,0.00038624738,0.00090473465,0.000009350442,0.036944885,0.00004186889,0.010815206,0.00018218564],"about_ca_topic_score_codex":0.000053209722,"about_ca_topic_score_gemma":0.00008488385,"teacher_disagreement_score":0.0296439,"about_ca_system_score_codex":0.00003387891,"about_ca_system_score_gemma":0.00006744386,"threshold_uncertainty_score":0.5893148},"labels":[],"label_agreement":null},{"id":"W2799510392","doi":"10.1007/s00330-018-5428-9","title":"How many versus how much: comprehensive haemodynamic evaluation of partial anomalous pulmonary venous connection by cardiac MRI","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Ventricle; Shunt (medical); Pulmonary vein; Asymptomatic; Right-to-left shunt; Magnetic resonance imaging; Radiology; Patent foramen ovale; Atrial fibrillation; Percutaneous","score_opus":0.041114746729269465,"score_gpt":0.28882806113679926,"score_spread":0.2477133144075298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799510392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860172,0.0037628487,0.0001198045,0.001045478,0.0017666431,0.00065436884,0.00008208365,0.0000850039,0.006466571],"genre_scores_gemma":[0.9982249,0.00010293238,0.000051859282,0.0000764572,0.0009893349,0.000017571389,0.00015386868,0.00004312041,0.00033991438],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978337,0.00095807016,0.00019606733,0.00040906397,0.0002870894,0.0003159701],"domain_scores_gemma":[0.9986958,0.00013177733,0.00011020381,0.00037905076,0.0005639594,0.00011924126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003502247,0.00020161734,0.00047786973,0.000105368155,0.0001360871,0.000011878672,0.00008299679,0.0000636113,0.000042011256],"category_scores_gemma":[0.00023346992,0.00019672916,0.00014458182,0.00013858985,0.00053660414,0.000069001864,0.00008369732,0.0001416011,0.00008622371],"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":[0.01913036,0.0021103923,0.037397977,0.0006436249,0.006241881,0.0016204929,0.005674394,0.000025603154,0.41173163,0.0006040281,0.10267618,0.41214344],"study_design_scores_gemma":[0.022103176,0.02368791,0.7704631,0.00020981007,0.0064863185,0.0016379637,0.008438582,0.049338307,0.009177407,0.0002207555,0.10655348,0.001683178],"about_ca_topic_score_codex":0.000011804599,"about_ca_topic_score_gemma":0.0000047954723,"teacher_disagreement_score":0.7330651,"about_ca_system_score_codex":0.00014117031,"about_ca_system_score_gemma":0.00007663944,"threshold_uncertainty_score":0.8022383},"labels":[],"label_agreement":null},{"id":"W2800115366","doi":"10.1007/s00330-018-5334-1","title":"Superolateral Hoffa’s fat pad (SHFP) oedema and patellar cartilage volume loss: quantitative analysis using longitudinal data from the Foundation for the National Institute of Health (FNIH) Osteoarthritis Biomarkers Consortium","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University; Foundation for the National Institutes of Health","keywords":"Medicine; Osteoarthritis; Cartilage; Patella; Odds ratio; Magnetic resonance imaging; Confidence interval; Infrapatellar fat pad; Surgery; Nuclear medicine; Radiology; Internal medicine; Pathology; Anatomy","score_opus":0.10739785244296218,"score_gpt":0.3083340082134783,"score_spread":0.2009361557705161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800115366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88921356,0.0020356022,0.104389556,0.0004339247,0.00072156655,0.0003086896,0.0027343882,0.000054320768,0.00010841796],"genre_scores_gemma":[0.9952455,0.00025346346,0.0031076646,0.000119945274,0.00018279094,0.0000035367632,0.0010594671,0.000019354344,0.000008232467],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864227,0.00032889986,0.00038528506,0.0003213321,0.00010400211,0.00021819217],"domain_scores_gemma":[0.9990112,0.0003613567,0.00013104046,0.00035133303,0.000113097194,0.000031949618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011253074,0.00014745843,0.00028230695,0.00008611833,0.00026684036,0.000053785134,0.00035727464,0.00004458943,0.00006197897],"category_scores_gemma":[0.00020737252,0.000102451,0.000064452346,0.00023086772,0.0004894523,0.00017742562,0.00014796351,0.00008064289,0.000012245791],"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":[0.0019592328,0.00030555754,0.46213806,0.0005697078,0.019826975,0.00024334402,0.039879356,0.023791317,0.20842628,0.008609574,0.10255295,0.13169765],"study_design_scores_gemma":[0.0022377933,0.0010009982,0.26865777,0.000101416044,0.0009490821,0.00014079503,0.0012833842,0.6686568,0.00070376677,0.00092128955,0.054590043,0.00075685885],"about_ca_topic_score_codex":0.00010454004,"about_ca_topic_score_gemma":0.00056611095,"teacher_disagreement_score":0.6448655,"about_ca_system_score_codex":0.00003505335,"about_ca_system_score_gemma":0.000030701987,"threshold_uncertainty_score":0.41778305},"labels":[],"label_agreement":null},{"id":"W2800175760","doi":"10.1007/s00330-018-5409-z","title":"Magnetic resonance guided focused high frequency ultrasound ablation for focal therapy in prostate cancer – phase 1 trial","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Prostate cancer; Prostatectomy; Prostate; Magnetic resonance imaging; Ultrasound; Radiology; Biopsy; Prostate-specific antigen; Urology; Prospective cohort study; Neuroradiology; Cancer; Adverse effect; Ablation; Surgery; Internal medicine; Neurology","score_opus":0.0391177106768711,"score_gpt":0.3285557901501033,"score_spread":0.2894380794732322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800175760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860864,0.007689174,0.00007683609,0.0012877665,0.0007615311,0.002571865,0.00010884302,0.00006173797,0.0013558151],"genre_scores_gemma":[0.99152917,0.0035563633,0.0012939106,0.0010257711,0.0013044821,0.00057720696,0.00013147248,0.000056025434,0.00052561366],"study_design_codex":"design_other","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9984192,0.00024020833,0.00042660415,0.00044781214,0.00009164831,0.00037452314],"domain_scores_gemma":[0.99922013,0.00016546769,0.00011443596,0.00028877443,0.00011957041,0.00009164146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037209113,0.00019279859,0.0003649159,0.0000946899,0.000071679104,0.000013851078,0.000091831236,0.000048353282,0.00026272226],"category_scores_gemma":[0.0001388245,0.00015244728,0.000073831114,0.0001550781,0.00019248558,0.000055504137,0.000010873829,0.000101900274,0.000034727447],"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":[0.11170377,0.0022269643,0.074237674,0.00006345503,0.00019865393,0.00050568406,0.0027090283,0.000011353087,0.030340731,0.0015674117,0.03652756,0.73990774],"study_design_scores_gemma":[0.48723122,0.050616175,0.3208259,0.00021316762,0.00013357915,0.00013324563,0.000028968027,0.00011140779,0.009128116,0.0016349088,0.12942071,0.00052257645],"about_ca_topic_score_codex":0.00017154931,"about_ca_topic_score_gemma":0.00007785707,"teacher_disagreement_score":0.7393851,"about_ca_system_score_codex":0.00019774892,"about_ca_system_score_gemma":0.00013112443,"threshold_uncertainty_score":0.6216619},"labels":[],"label_agreement":null},{"id":"W2802316940","doi":"10.1007/s00330-018-5356-8","title":"Remote brain microhaemorrhages may predict haematoma in glioma patients treated with radiation therapy","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Medicine; Neurosurgery; Glioma; Radiation therapy; Retrospective cohort study; Neuroradiology; Magnetic resonance imaging; Internal medicine; Surgery; Radiology; Neurology; Cancer research; Psychiatry","score_opus":0.014626455814832831,"score_gpt":0.2704609887198946,"score_spread":0.25583453290506175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802316940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986459,0.00023036347,0.00007820765,0.0016862064,0.000089470814,0.0006497469,0.000010038201,0.00012019676,0.010676759],"genre_scores_gemma":[0.9950251,0.000061277715,0.0010623457,0.00082442036,0.00048571467,0.0000047575886,0.00013469218,0.00006498674,0.0023367363],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978036,0.00069122086,0.0003380076,0.0004445821,0.00020404026,0.00051854126],"domain_scores_gemma":[0.9991181,0.00009737146,0.000090300986,0.00038600666,0.00015784905,0.00015035844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005409702,0.00022555083,0.00039072402,0.00034310276,0.00009907621,0.000018384753,0.00017763831,0.00010297503,0.0002986412],"category_scores_gemma":[0.00018706266,0.00014097535,0.000056721427,0.00044620075,0.00033528777,0.00008048348,0.000039787763,0.0003213437,0.00043113006],"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":[0.0031984712,0.00032333462,0.47916612,0.00006080036,0.00009177144,0.0035738482,0.0010046916,9.543281e-7,0.016089637,0.000032358377,0.008242141,0.48821586],"study_design_scores_gemma":[0.009377876,0.005610403,0.9548821,0.00008176802,0.00002038137,0.0017770333,0.000049697173,0.0033672845,0.019225506,0.000012333461,0.0053080837,0.00028752678],"about_ca_topic_score_codex":0.000069155656,"about_ca_topic_score_gemma":0.000013439296,"teacher_disagreement_score":0.48792836,"about_ca_system_score_codex":0.00009509396,"about_ca_system_score_gemma":0.00005840835,"threshold_uncertainty_score":0.5748808},"labels":[],"label_agreement":null},{"id":"W2810244970","doi":"10.1007/s00330-018-5584-y","title":"Twelve-month prostate volume reduction after MRI-guided transurethral ultrasound ablation of the prostate","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Victoria Hospital; Profound Medical (Canada); London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Prostate; Prostate cancer; Thermal ablation; Interventional radiology; Ablation; Neuroradiology; Radiology; Nuclear medicine; Ultrasound; Biopsy; Magnetic resonance imaging; Cancer; Internal medicine; Neurology","score_opus":0.012800873130822382,"score_gpt":0.25216763103810047,"score_spread":0.2393667579072781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810244970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889176,0.0006547189,0.00006952568,0.0021108694,0.00075236184,0.000991342,0.000052173928,0.000054312164,0.006397083],"genre_scores_gemma":[0.99605906,0.00032997743,0.00029983782,0.00028234793,0.0004868998,0.000052302024,0.0000564443,0.000043333337,0.0023897819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984511,0.0003563171,0.00040144127,0.00035595446,0.00014423995,0.0002909129],"domain_scores_gemma":[0.9991096,0.000028103841,0.00017767432,0.00042957315,0.00017203239,0.00008300184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036723042,0.00018246759,0.0002877516,0.00005696621,0.000093226234,0.000011154978,0.00009507274,0.00005039636,0.00017207084],"category_scores_gemma":[0.000053361236,0.00011967318,0.00012676649,0.0001773886,0.00051079213,0.00007744467,0.000023694716,0.00015257549,0.0000855808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039275745,0.0006745155,0.8509674,0.00023928055,0.00067579694,0.00017521663,0.017185979,0.00012977398,0.0637199,0.00028820834,0.044050857,0.017965505],"study_design_scores_gemma":[0.0023674907,0.0018061128,0.9552007,0.00012346104,0.00019019844,0.0005204518,0.00007638579,0.00003873868,0.016184177,0.00013472946,0.02320899,0.00014860208],"about_ca_topic_score_codex":0.000032288197,"about_ca_topic_score_gemma":0.000011003613,"teacher_disagreement_score":0.104233265,"about_ca_system_score_codex":0.00011729754,"about_ca_system_score_gemma":0.00007247452,"threshold_uncertainty_score":0.4880131},"labels":[],"label_agreement":null},{"id":"W2810715361","doi":"10.1007/s00330-018-5548-2","title":"Correction to: CT diagnosis of gallbladder adenomyomatosis: importance of enhancing mucosal epithelium, the “cotton ball sign”","year":2018,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Mistake; Adenomyomatosis; Sign (mathematics); Medicine; Gallbladder; Interventional radiology; Ball (mathematics); Radiology; General surgery; Surgery; Mathematics; Law; Mathematical analysis","score_opus":0.014671084485038356,"score_gpt":0.25662956517728436,"score_spread":0.24195848069224601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810715361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4218739,0.07150095,0.00037091985,0.004813444,0.108301334,0.003288625,0.00028843648,0.00034682258,0.38921556],"genre_scores_gemma":[0.94124526,0.0041872603,0.00019982376,0.0021737185,0.007804894,0.00013218992,0.00022928981,0.00023826679,0.043789327],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99665713,0.00058693066,0.0010942693,0.0007636088,0.00036483892,0.00053322996],"domain_scores_gemma":[0.99715495,0.0004485443,0.000829098,0.0010431994,0.00036674543,0.00015747368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008026859,0.0005317136,0.0014081,0.000281125,0.00012891744,0.0000118328235,0.0005401103,0.00014895979,0.00034473054],"category_scores_gemma":[0.0008456747,0.00038486117,0.00045589425,0.00037606645,0.0005124233,0.00004301975,0.0002889885,0.00088351354,0.000110640576],"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":[0.0001804992,0.00009242113,0.04952852,0.0003198783,0.00070716767,0.00013075715,0.0017480884,0.000002005285,0.0009156795,0.000013179968,0.9445606,0.0018012054],"study_design_scores_gemma":[0.0011445406,0.002495065,0.537391,0.001799953,0.001207693,0.0008271732,0.0010225214,0.00001709663,0.0038966122,0.000013744589,0.4496011,0.0005834934],"about_ca_topic_score_codex":0.00018148858,"about_ca_topic_score_gemma":0.0004405376,"teacher_disagreement_score":0.51937133,"about_ca_system_score_codex":0.00014247939,"about_ca_system_score_gemma":0.00027890407,"threshold_uncertainty_score":0.99986035},"labels":[],"label_agreement":null},{"id":"W2873085461","doi":"10.1007/s00330-018-5618-5","title":"Delayed tumour enhancement on gadoxetate-enhanced MRI is associated with overall survival in patients with colorectal liver metastases","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","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":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Medicine; Confounding; Hazard ratio; Proportional hazards model; Radiology; Internal medicine; Nuclear medicine; Confidence interval","score_opus":0.024046039353440515,"score_gpt":0.22230153852588314,"score_spread":0.19825549917244262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2873085461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911282,0.000068818044,0.00015780513,0.000093823495,0.000111586676,0.0007184802,0.0000415623,0.00005879021,0.0076209074],"genre_scores_gemma":[0.99807656,0.000024007768,0.00031579938,0.0005859866,0.00009927642,0.000022552906,0.00040637093,0.000059250524,0.00041022393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978169,0.00065936195,0.00028951833,0.0005100195,0.0002640121,0.00046017813],"domain_scores_gemma":[0.99919164,0.000107709326,0.00015380862,0.00023435247,0.00016742082,0.00014507603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003311049,0.0003065983,0.00051916786,0.00014376132,0.00006918111,0.000013868474,0.00010652585,0.00005613387,0.00045050267],"category_scores_gemma":[0.0000530351,0.00020709205,0.00006736036,0.00021000241,0.00018866733,0.000057115678,0.000036150326,0.00019994016,0.00031940808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011565703,0.0014991998,0.9780904,0.000014373798,0.0010525995,0.0015405562,0.001452171,0.0000031578659,0.00184811,0.00003847302,0.0016083587,0.0012869084],"study_design_scores_gemma":[0.013237198,0.02592779,0.94231874,0.00013206762,0.00032512736,0.000018496774,0.000027151742,0.00017742297,0.016937746,0.000003349555,0.00055714516,0.00033779218],"about_ca_topic_score_codex":0.000035709523,"about_ca_topic_score_gemma":0.00008363318,"teacher_disagreement_score":0.035771675,"about_ca_system_score_codex":0.00015731427,"about_ca_system_score_gemma":0.000059186725,"threshold_uncertainty_score":0.84449685},"labels":[],"label_agreement":null},{"id":"W2883806280","doi":"10.1007/s00330-018-5567-z","title":"Epidemiology of systematic reviews in imaging journals: evaluation of publication trends and sustainability?","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; St. Joseph’s Healthcare Hamilton; McMaster University","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Subspecialty; MEDLINE; Epidemiology; Publication bias; Nuclear medicine; Meta-analysis; Radiology; Internal medicine; Family medicine","score_opus":0.7971122679165905,"score_gpt":0.5865082224386341,"score_spread":0.21060404547795641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883806280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70912784,0.17294115,0.048045274,0.0079557765,0.00076427386,0.0056161,0.000014472645,0.000010841214,0.055524267],"genre_scores_gemma":[0.9980891,0.00014726969,0.0009428404,0.00014048479,0.000071596754,0.000028251407,0.0000040088385,0.0000070175147,0.000569482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.63952976,0.32954383,0.027381152,0.0011930349,0.001957078,0.00039515228],"domain_scores_gemma":[0.9675532,0.009710039,0.014258071,0.0028973487,0.005485862,0.00009550011],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6087553,0.0001669974,0.004463541,0.0011540825,0.00004087701,0.000023489532,0.000906686,0.000039987142,0.0019403452],"category_scores_gemma":[0.48090202,0.00008285529,0.0005127516,0.0014515938,0.0003245629,0.00018828362,0.0001050019,0.00010551498,0.0001903918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010273643,0.000056984405,0.85056835,0.0029305462,0.00009484748,0.0000015184017,0.0019301751,0.00005495216,0.0000946385,0.0044893012,0.012581986,0.12718645],"study_design_scores_gemma":[0.0004486168,0.00012339749,0.94364905,0.000813915,0.0004281927,0.00013628344,0.0008090813,0.035129957,0.000005172746,0.013152543,0.0051562916,0.00014751687],"about_ca_topic_score_codex":0.0000074898685,"about_ca_topic_score_gemma":0.000011946469,"teacher_disagreement_score":0.32802343,"about_ca_system_score_codex":0.00006229992,"about_ca_system_score_gemma":0.00005743156,"threshold_uncertainty_score":0.998972},"labels":[],"label_agreement":null},{"id":"W2884798582","doi":"10.1007/s00330-018-5619-4","title":"The development and validation of magnetic resonance elastography for fibrosis staging in primary sclerosing cholangitis","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Transient elastography; Confidence interval; Magnetic resonance elastography; Cirrhosis; Internal medicine; Primary sclerosing cholangitis; Neuroradiology; Elastography; Fibrosis; Gastroenterology; Magnetic resonance imaging; Radiology; Ultrasound; Liver fibrosis; Neurology","score_opus":0.016563528681952593,"score_gpt":0.23679835929012272,"score_spread":0.22023483060817012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884798582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938293,0.00420013,0.0000737971,0.000121559555,0.00005511627,0.0002684997,0.000008375077,0.000009921692,0.001433291],"genre_scores_gemma":[0.9956197,0.00027401463,0.003833403,0.000113121336,0.00006149635,0.000020444493,0.00002527402,0.00001186939,0.000040675368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994133,0.000086859,0.00017506756,0.0001478613,0.000046996916,0.00012991678],"domain_scores_gemma":[0.9996554,0.0001226759,0.00004586208,0.00010537452,0.000036352252,0.000034313554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024042124,0.00006388435,0.00011712512,0.00005810659,0.00008549669,0.000008448849,0.0000376149,0.000012807001,0.0000044758676],"category_scores_gemma":[0.000030407984,0.00004574231,0.000026109958,0.00007169927,0.00012881377,0.000023255037,0.000025429354,0.000029307046,0.0000031307652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002528393,0.00009848262,0.7963486,0.00006256342,0.000036630623,0.000007066379,0.0014131368,6.6923155e-7,0.0037851394,0.00014375409,0.0004826221,0.19736853],"study_design_scores_gemma":[0.0011243394,0.00038872022,0.9850124,0.00012019177,0.000026433352,0.000005830875,0.000043738262,0.000006669705,0.0032793055,0.000014007669,0.009934868,0.000043458836],"about_ca_topic_score_codex":0.0000034639104,"about_ca_topic_score_gemma":0.0000029678952,"teacher_disagreement_score":0.19732508,"about_ca_system_score_codex":0.000028798744,"about_ca_system_score_gemma":0.000024545237,"threshold_uncertainty_score":0.18653172},"labels":[],"label_agreement":null},{"id":"W2886664303","doi":"10.1007/s00330-018-5664-z","title":"Diagnosis of transition zone prostate cancer using T2-weighted (T2W) MRI: comparison of subjective features and quantitative shape analysis","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Receiver operating characteristic; Prostate cancer; Prostatectomy; Margin (machine learning); Nuclear medicine; Cohen's kappa; Kappa; Radiology; Mathematics; Cancer; Geometry; Statistics; Internal medicine","score_opus":0.03405088688702554,"score_gpt":0.3358848111784868,"score_spread":0.3018339242914613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886664303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909401,0.007366405,0.00037686626,0.00035623013,0.00008120074,0.00040433294,0.00018481539,0.00001781188,0.0002722714],"genre_scores_gemma":[0.9950154,0.0024682381,0.0022074834,0.000105179286,0.00007400113,0.000024969553,0.000064630396,0.000022933844,0.000017156104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986467,0.0003327466,0.00037896444,0.00033920605,0.000109142056,0.00019327622],"domain_scores_gemma":[0.9990435,0.00015457504,0.00028421456,0.00017251317,0.00026570464,0.00007947272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018596585,0.00016939153,0.00074748945,0.00025490663,0.00006346492,0.000004798662,0.000049230242,0.000046788347,0.00010766292],"category_scores_gemma":[0.00002678212,0.00013471347,0.000120532604,0.00047698882,0.00049685995,0.00005025881,0.000022992555,0.00010276072,0.0000020505763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016443487,0.00057728135,0.9526405,0.00015610071,0.0040612835,0.000056337132,0.01958204,0.0002914775,0.010109695,0.00017816463,0.000548591,0.010154216],"study_design_scores_gemma":[0.0021058174,0.0029383954,0.94850326,0.00020238187,0.0027822785,0.000024020514,0.0008449123,0.0048365574,0.037424453,0.000020556705,0.00016681016,0.00015056708],"about_ca_topic_score_codex":0.00046244005,"about_ca_topic_score_gemma":0.0001909654,"teacher_disagreement_score":0.027314758,"about_ca_system_score_codex":0.00007861445,"about_ca_system_score_gemma":0.000045408906,"threshold_uncertainty_score":0.54934555},"labels":[],"label_agreement":null},{"id":"W2887021901","doi":"10.1007/s00330-018-5674-x","title":"Demystification of AI-driven medical image interpretation: past, present and future","year":2018,"lang":"en","type":"review","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Interpretation (philosophy); Neuroradiology; Medicine; Interventional radiology; Radiology; Medical physics; Computer science; Neurology; Psychiatry; Programming language","score_opus":0.01724476556292529,"score_gpt":0.344586607164398,"score_spread":0.32734184160147267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887021901","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":[0.000031216718,0.98266876,0.004494595,0.0048220996,0.0006911776,0.0004245292,0.000008820305,0.000056884557,0.006801902],"genre_scores_gemma":[0.00007386586,0.9865286,0.00282491,0.00047979562,0.009482581,0.000010839736,0.00025251947,0.00007719806,0.00026971687],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99719584,0.0010785026,0.00077119394,0.00048030916,0.00024977553,0.00022437946],"domain_scores_gemma":[0.99858993,0.00023780025,0.0003857464,0.0004152941,0.000098654426,0.00027258086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096067594,0.00027827197,0.0013200766,0.00019358727,0.00004782339,0.000014082939,0.00028369343,0.00022595355,0.00024347474],"category_scores_gemma":[0.00034029488,0.00019918194,0.00022039138,0.00013788056,0.00066559465,0.000033917797,0.00014827904,0.0010222368,0.000094712224],"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":[0.000019427267,0.00003300332,0.000044205637,0.004629396,0.00019979157,0.00018142862,0.00015896479,1.0380622e-7,0.0000026708244,0.00017345564,0.03986989,0.95468765],"study_design_scores_gemma":[0.00035768014,0.00019821605,0.00027744073,0.0037848768,0.0005520143,0.0026467077,0.000010369843,0.0008885499,2.680888e-7,0.0000128631345,0.99112594,0.00014505288],"about_ca_topic_score_codex":0.00000218778,"about_ca_topic_score_gemma":1.1114213e-7,"teacher_disagreement_score":0.95454264,"about_ca_system_score_codex":0.000036047317,"about_ca_system_score_gemma":0.00017245191,"threshold_uncertainty_score":0.8122404},"labels":[],"label_agreement":null},{"id":"W2889144904","doi":"10.1007/s00330-018-5699-1","title":"Reliability of 2D and 3D ultrasound for infant hip dysplasia in the hands of novice users","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Alberta","funders":"","keywords":"Medicine; Reliability (semiconductor); Neuroradiology; Ultrasound; Interventional radiology; Ischium; Gold standard (test); Radiology; Surgery; Pelvis","score_opus":0.014153706451069134,"score_gpt":0.27289193186009225,"score_spread":0.25873822540902314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889144904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924001,0.0001400205,0.000056136643,0.00013951857,0.000041965493,0.00031688466,0.000012619553,0.000005116583,0.0068876185],"genre_scores_gemma":[0.99915236,0.000038958697,0.00045381163,0.00021836214,0.000044287845,0.0000045912548,0.000015632984,0.000009614314,0.0000623564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993024,0.00017669285,0.00020701544,0.00014959706,0.00004465463,0.00011962406],"domain_scores_gemma":[0.9993213,0.00030421573,0.00007096327,0.00022915674,0.000048803453,0.0000256054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000472561,0.000071703296,0.00021627688,0.00004215623,0.000024388006,0.0000015789684,0.00006945913,0.00002996813,0.000019766248],"category_scores_gemma":[0.0003030587,0.000043798475,0.000031364303,0.00007036545,0.00034649705,0.000016363578,0.00001283814,0.00005665543,0.0000055443134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079438795,0.0002832211,0.98459,0.00012068804,0.00007320519,0.000018974697,0.0051937304,0.0000024481953,0.0057477397,0.00022156439,0.0011852827,0.0017687586],"study_design_scores_gemma":[0.003434146,0.0022160686,0.98880893,0.00002693167,0.00006806899,0.00009962952,0.00024595685,0.000028228022,0.0004411098,0.00008428407,0.004500738,0.000045891793],"about_ca_topic_score_codex":0.000050784478,"about_ca_topic_score_gemma":0.000037077698,"teacher_disagreement_score":0.006825262,"about_ca_system_score_codex":0.000008418105,"about_ca_system_score_gemma":0.00001893789,"threshold_uncertainty_score":0.17860499},"labels":[],"label_agreement":null},{"id":"W2894753707","doi":"10.1007/s00330-018-5754-y","title":"Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Kurtosis; Nuclear medicine; Coefficient of variation; Medicine; Iterative reconstruction; Imaging phantom; Similarity (geometry); Skewness; Mathematics; Biomedical engineering; Radiology; Statistics; Artificial intelligence; Computer science; Image (mathematics)","score_opus":0.02644131493757322,"score_gpt":0.4002001680496842,"score_spread":0.373758853112111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894753707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911027,0.00019056564,0.0051145353,0.00013677275,0.000114884504,0.00014437667,0.0000043606615,0.000012632694,0.0031791546],"genre_scores_gemma":[0.94885826,0.00009840832,0.050892346,0.000047120542,0.000075067845,7.588027e-7,0.0000032928833,0.000014335271,0.00001040692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975088,0.0015902045,0.00040042138,0.00026208223,0.000073050105,0.00016543819],"domain_scores_gemma":[0.9985175,0.00088741875,0.00022244855,0.00017655198,0.00010687917,0.00008918],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002839451,0.0001188834,0.00048767202,0.00030508862,0.00003058508,0.0000055379746,0.00006341087,0.000028496108,0.00003366796],"category_scores_gemma":[0.008924298,0.00008780852,0.000055470744,0.00024460684,0.0011355685,0.000058639678,0.00004218986,0.00031573852,0.0000018517765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007433001,0.0001067585,0.47362897,0.000095842945,0.00014220209,0.000058960606,0.0011377413,0.000017016991,0.1404102,0.00050360465,0.00015189122,0.3830035],"study_design_scores_gemma":[0.001159924,0.0020389,0.98401165,0.000099875346,0.000037278074,0.001001276,0.000080122794,0.010480039,0.00058551144,0.00037678884,0.000046314755,0.000082306404],"about_ca_topic_score_codex":0.00012741382,"about_ca_topic_score_gemma":0.0000015439053,"teacher_disagreement_score":0.5103827,"about_ca_system_score_codex":0.000037152342,"about_ca_system_score_gemma":0.000045507884,"threshold_uncertainty_score":0.999424},"labels":[],"label_agreement":null},{"id":"W2900962160","doi":"10.1007/s00330-018-5801-8","title":"Citation bias in imaging research: are studies with higher diagnostic accuracy estimates cited more often?","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Citation; Sample size determination; Publication bias; Meta-analysis; Confounding; Statistics; MEDLINE; Medical physics; Nuclear medicine; Internal medicine; Mathematics; Computer science","score_opus":0.8981183022222275,"score_gpt":0.6008108393624105,"score_spread":0.297307462859817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900962160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756685,0.0050838524,0.001137269,0.0060301116,0.0004647683,0.0006822449,0.000008298209,0.000021980852,0.010902982],"genre_scores_gemma":[0.9939722,0.00008057546,0.002418249,0.00080960727,0.0002743138,0.000027294407,0.0000090350095,0.000025597157,0.0023831618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96762717,0.02561951,0.0034640857,0.0010291068,0.0018178727,0.00044225468],"domain_scores_gemma":[0.9424751,0.050042514,0.0023043682,0.0023882636,0.0026595658,0.00013019012],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.08757737,0.0002566176,0.001878219,0.0010311127,0.0002223307,0.00033599156,0.0012572902,0.00002876201,0.0014862013],"category_scores_gemma":[0.2733401,0.00011821513,0.00022499425,0.002479255,0.0007519,0.00024652007,0.00023641525,0.00025507784,0.0068365745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028045966,0.000046137575,0.6980679,0.000038416012,0.0002178886,0.00044646172,0.0044123917,0.0001371121,0.00012059638,0.00065981597,0.28561938,0.010205887],"study_design_scores_gemma":[0.00037476743,0.0001384832,0.9452471,0.00017688432,0.00007331817,0.00006630424,0.0035713338,0.0016380204,0.000011810555,0.0025566872,0.045952708,0.00019256306],"about_ca_topic_score_codex":0.000011553548,"about_ca_topic_score_gemma":0.00004091161,"teacher_disagreement_score":0.24717924,"about_ca_system_score_codex":0.000048714803,"about_ca_system_score_gemma":0.000029240027,"threshold_uncertainty_score":0.9994266},"labels":[],"label_agreement":null},{"id":"W2901840781","doi":"10.1007/s00330-018-5521-0","title":"Correction to: Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset","year":2018,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Université de Montréal; University of Ottawa; Montreal Heart Institute; Women's College Hospital; St. Paul's Hospital","funders":"","keywords":"Mistake; Guideline; Nice; Medicine; Neuroradiology; Interventional radiology; Medical physics; Radiology; Neurology; Computer science; Pathology; Psychiatry","score_opus":0.031196687724250143,"score_gpt":0.37185716030799315,"score_spread":0.340660472583743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901840781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94780165,0.00058933714,0.030136866,0.0014906599,0.0073219873,0.009051053,0.00067841733,0.000052626932,0.0028774145],"genre_scores_gemma":[0.9863777,0.00009049236,0.010560554,0.0010085977,0.0005564338,0.00007931061,0.0012384123,0.000053486023,0.000034987264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960032,0.0015249569,0.0014909268,0.0005462951,0.00018563862,0.00024895216],"domain_scores_gemma":[0.9912567,0.006869851,0.00056103163,0.00065883284,0.00059391384,0.000059634356],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008125085,0.00020918957,0.0007051739,0.00015947975,0.00004120718,0.000008539745,0.00015618897,0.00008768646,0.0000103740995],"category_scores_gemma":[0.04653466,0.0001496236,0.0001007092,0.00028021148,0.0002908977,0.000025957695,0.00010790404,0.0004894517,8.127253e-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":[0.00079723174,0.00029424857,0.7281559,0.000108388806,0.000017247488,0.0000023478538,0.00018549305,0.00002921906,0.0000012327212,0.000001911461,0.23038308,0.040023662],"study_design_scores_gemma":[0.0017539394,0.0008473585,0.93450487,0.0008372216,0.00010330828,0.000012570499,0.000056031167,0.0010198115,7.044764e-7,0.00003876384,0.06070756,0.0001178367],"about_ca_topic_score_codex":0.00007456439,"about_ca_topic_score_gemma":0.00020130207,"teacher_disagreement_score":0.20634896,"about_ca_system_score_codex":0.000118302196,"about_ca_system_score_gemma":0.00018860171,"threshold_uncertainty_score":0.9614968},"labels":[],"label_agreement":null},{"id":"W2902918127","doi":"10.1007/s00330-018-5839-7","title":"Evaluation of a free-breathing respiratory-triggered (Navigator) 3-D T1-weighted (T1W) gradient recalled echo sequence (LAVA) for detection of enhancement in cystic and solid renal masses","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Lava; Medicine; Neuroradiology; Radiology; Image quality; Subtraction; Artifact (error); Lava dome; Nuclear medicine; Geology; Artificial intelligence; Computer science; Mathematics","score_opus":0.07018109778812665,"score_gpt":0.3531141315001526,"score_spread":0.28293303371202594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902918127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932829,0.00091889605,0.003159272,0.00014995274,0.00027665196,0.0011295847,0.000045670553,0.000025954432,0.001011129],"genre_scores_gemma":[0.9955268,0.00018803203,0.0036421635,0.00011827245,0.00026299895,0.00018875241,0.00002175243,0.000031858748,0.000019382464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997215,0.0011036008,0.0006730453,0.00042851307,0.0003219013,0.0002579827],"domain_scores_gemma":[0.99810755,0.00041883104,0.00039095664,0.0004249957,0.0005722071,0.000085467385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035783695,0.00016460227,0.00046525794,0.00025448002,0.00005260264,0.000004927243,0.00013537133,0.000085715845,0.00013224274],"category_scores_gemma":[0.0015878944,0.00015257084,0.00006173035,0.00024342902,0.0002820473,0.000055488967,0.000056939574,0.00014817853,0.0000042008437],"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":[0.0011792291,0.00018733212,0.0041508065,0.00027777863,0.00018338418,0.00003214043,0.0016175946,0.000033404882,0.9510674,0.000054723823,0.0013473959,0.039868828],"study_design_scores_gemma":[0.011276093,0.008671241,0.02832729,0.001486588,0.00075274735,0.00017745425,0.00014744996,0.008887963,0.9308497,0.0011991292,0.007882786,0.00034158878],"about_ca_topic_score_codex":0.00003945502,"about_ca_topic_score_gemma":0.00007419556,"teacher_disagreement_score":0.03952724,"about_ca_system_score_codex":0.0003415717,"about_ca_system_score_gemma":0.00019388623,"threshold_uncertainty_score":0.62216586},"labels":[],"label_agreement":null},{"id":"W2905380764","doi":"10.1007/s00330-018-5915-z","title":"Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"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":"Institute of Nutrition, Metabolism and Diabetes","keywords":"Steatohepatitis; Medicine; Elastography; Receiver operating characteristic; Ultrasound; Steatosis; Histopathology; Neuroradiology; Radiology; Fatty liver; Internal medicine; Pathology; Neurology; Disease","score_opus":0.04971281876222271,"score_gpt":0.3300493053559489,"score_spread":0.2803364865937262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905380764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925693,0.000599998,0.0020553481,0.00010189208,0.000042111024,0.0003186395,0.000024783156,0.000012309607,0.004275601],"genre_scores_gemma":[0.9930059,0.00034590717,0.0062378016,0.00013578309,0.000035505123,0.000017247286,0.00006034433,0.000016232558,0.0001453365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993096,0.00017449015,0.00016582146,0.00018513917,0.000043350647,0.00012160678],"domain_scores_gemma":[0.99950737,0.00023182282,0.00006141356,0.00009100561,0.000053020758,0.000055388376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020301873,0.00008397136,0.00023728237,0.0000683418,0.000034442262,0.0000035607318,0.000029188584,0.000017773958,0.000025203655],"category_scores_gemma":[0.00010614898,0.00006717379,0.000038055125,0.00004250637,0.00012789802,0.000024304827,0.000019231222,0.00006240054,0.0000039158663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002446296,0.00026478298,0.9875085,0.000060921353,0.00013038534,0.00005586205,0.0010004082,0.00018592802,0.0037288722,0.005152907,0.00033316147,0.0013336545],"study_design_scores_gemma":[0.0048349337,0.0049049687,0.9359966,0.0000951713,0.00017333789,0.00006089428,0.00014811284,0.05210006,0.00065612805,0.00022263589,0.0006852749,0.00012187082],"about_ca_topic_score_codex":0.000027653487,"about_ca_topic_score_gemma":0.000029975976,"teacher_disagreement_score":0.05191413,"about_ca_system_score_codex":0.000031202348,"about_ca_system_score_gemma":0.00003429337,"threshold_uncertainty_score":0.27392676},"labels":[],"label_agreement":null},{"id":"W2912608716","doi":"10.1007/s00330-019-06019-9","title":"Quantification of myocardial deformation by deformable registration–based analysis of cine MRI: validation with tagged CMR","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"HARP; Medicine; Ejection fraction; Nuclear medicine; Neuroradiology; Magnetic resonance imaging; Short axis; Cardiac magnetic resonance; Cardiac imaging; Radial stress; Cardiology; Radiology; Deformation (meteorology); Long axis; Heart failure; Physics","score_opus":0.010039649851378092,"score_gpt":0.23937300854052523,"score_spread":0.22933335868914714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912608716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9448595,0.00012315426,0.043338157,0.0002668618,0.000107057276,0.00026308556,0.000050056697,0.000034626963,0.010957516],"genre_scores_gemma":[0.99650353,0.000019597634,0.0009281183,0.00011178625,0.000039461294,0.0000028411996,0.0022111612,0.000014416515,0.00016907661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989118,0.00021288115,0.0004172346,0.00016987506,0.00017096972,0.00011722741],"domain_scores_gemma":[0.99882156,0.0001298778,0.00038126897,0.00039090036,0.00023382786,0.000042563574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006015308,0.0000972313,0.0004110133,0.00027752135,0.000023502955,0.0000060048956,0.000055479864,0.000037552767,0.000035849884],"category_scores_gemma":[0.00016491681,0.00007932956,0.0001254224,0.00049930613,0.00008626582,0.00008381823,0.000007847687,0.00007987748,0.000029382676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009618489,0.00021779785,0.78007567,0.0002181821,0.0014263702,0.0000068175045,0.00043417158,0.08374958,0.12285399,0.00074772595,0.008133493,0.0011743732],"study_design_scores_gemma":[0.0035717431,0.00095442176,0.919407,0.00007743083,0.0030221366,0.00004428354,0.00015510581,0.028924057,0.04062375,0.0000061664014,0.0030096455,0.00020424633],"about_ca_topic_score_codex":0.00003820662,"about_ca_topic_score_gemma":0.0000017499974,"teacher_disagreement_score":0.13933136,"about_ca_system_score_codex":0.000033631004,"about_ca_system_score_gemma":0.000059366117,"threshold_uncertainty_score":0.32349655},"labels":[],"label_agreement":null},{"id":"W2914069220","doi":"10.1007/s00330-018-5995-9","title":"Artificial intelligence in radiology: who’s afraid of the big bad wolf?","year":2019,"lang":"en","type":"letter","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Victoria Hospital; McGill University Health Centre","funders":"","keywords":"Medicine; Specialty; Interventional radiology; Neuroradiology; Radiology; Medical education; Family medicine; Neurology; Psychiatry","score_opus":0.13983849487528782,"score_gpt":0.3602755598055636,"score_spread":0.22043706493027576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914069220","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":[0.13001952,0.0023699105,0.0006137283,0.8307881,0.014017963,0.0018870265,0.00004493592,0.00008437324,0.020174494],"genre_scores_gemma":[0.38669017,0.00090471806,0.00021867773,0.5859641,0.019122912,0.000034605975,0.00026588555,0.00018447237,0.0066144555],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954263,0.001675926,0.0013477807,0.0006739993,0.0002251448,0.0006508607],"domain_scores_gemma":[0.99734235,0.0008164144,0.00049185514,0.0011274636,0.00016113777,0.000060802653],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011625945,0.00035503125,0.00092988135,0.0003948205,0.000071129194,0.0000102575,0.0006517969,0.00076214905,0.00025528183],"category_scores_gemma":[0.0010583224,0.00026104113,0.0002638364,0.00045370354,0.0006741887,0.000030536696,0.00013174592,0.0028855393,0.0007801543],"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":[0.0001959253,0.000098160526,0.013539869,0.00040304786,0.00009296724,0.0004179811,0.002723796,0.000083752144,0.00061321375,0.00048813646,0.81753945,0.1638037],"study_design_scores_gemma":[0.00006094551,0.0010017513,0.016772956,0.0008297047,0.00014624487,0.0010946793,0.00050288194,0.00026318574,0.0028072384,0.0030816821,0.97285014,0.0005885716],"about_ca_topic_score_codex":0.0002431187,"about_ca_topic_score_gemma":0.000059138863,"teacher_disagreement_score":0.25667065,"about_ca_system_score_codex":0.00019261974,"about_ca_system_score_gemma":0.000556099,"threshold_uncertainty_score":0.99999785},"labels":[],"label_agreement":null},{"id":"W2915693072","doi":"10.1007/s00330-019-06057-3","title":"Multiple unilateral subcapsular cortical hemorrhagic cystic disease of the kidney: CT and MRI findings and clinical characteristic","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Magnetic resonance imaging; Ultrasound; Neurology; Pathology","score_opus":0.025109576491576288,"score_gpt":0.2855174684138693,"score_spread":0.260407891922293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915693072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730784,0.00013561288,0.000023824547,0.0014860581,0.0002637509,0.00045212646,0.000026532354,0.000027523522,0.0002767095],"genre_scores_gemma":[0.9980571,0.00006970791,0.00013320992,0.00094601576,0.00012442947,0.0000020029092,0.000026941538,0.000035037643,0.0006055173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769115,0.0009851655,0.0004312621,0.00040809138,0.00015705176,0.00032729754],"domain_scores_gemma":[0.99836886,0.0005423709,0.000076258024,0.0005001505,0.000049308663,0.00046303467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076534145,0.00015141348,0.00044050024,0.000059323156,0.00006898457,0.000014849008,0.00017703058,0.000029036995,0.00012419537],"category_scores_gemma":[0.0019192143,0.00010232965,0.00008898373,0.0000941645,0.00060780003,0.00003170318,0.00029986326,0.00046620693,0.00010552853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038809454,0.00008713275,0.9809349,0.00011814806,0.00004666672,0.00026516398,0.000060595667,7.1422096e-7,0.017116914,0.00018605588,0.00047656274,0.00031903858],"study_design_scores_gemma":[0.0022139093,0.00041528986,0.9919668,0.000086002095,0.000094613664,0.00065654225,0.000010263615,0.003104308,0.00004576858,0.0000188383,0.0012884302,0.00009922704],"about_ca_topic_score_codex":0.000006552434,"about_ca_topic_score_gemma":5.7899496e-7,"teacher_disagreement_score":0.017071145,"about_ca_system_score_codex":0.000022291888,"about_ca_system_score_gemma":0.000075448224,"threshold_uncertainty_score":0.4172882},"labels":[],"label_agreement":null},{"id":"W2917767332","doi":"10.1007/s00330-019-06067-1","title":"Automatically computed rating scales from MRI for patients with cognitive disorders","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"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 Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Alzheimer Nederland; Stichting Dioraphte; Eisai; National Institute for Health and Care Research; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; University College London Hospitals NHS Foundation Trust; European Commission; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Neuroradiology; Medicine; Interventional radiology; Radiology; Rating scale; Medical physics; Magnetic resonance imaging; Neurology; Psychiatry; Psychology; Developmental psychology","score_opus":0.006047357755773204,"score_gpt":0.2533396058651846,"score_spread":0.24729224810941142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917767332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697682,0.0000310104,0.013422632,0.00031747032,0.00009691259,0.0013895924,0.000046103494,0.00008149477,0.014846542],"genre_scores_gemma":[0.9946039,0.0000054178568,0.0035732964,0.000613983,0.00009571597,0.000020194886,0.0006470329,0.000037507933,0.00040296675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998697,0.00028218993,0.00020096343,0.0003349496,0.00016690546,0.00031799873],"domain_scores_gemma":[0.99900275,0.0004994178,0.000068010326,0.00013379565,0.00018576265,0.000110258465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002121028,0.00014141403,0.00027071845,0.00007033181,0.000066178916,0.000017531767,0.000088258945,0.000030538456,0.0002660345],"category_scores_gemma":[0.00015434464,0.00010288527,0.000059955673,0.00008252284,0.00014053249,0.000048123104,0.000056957186,0.00013726637,0.00036640055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093629275,0.00033989677,0.9739493,0.00004817394,0.00026507323,0.000015626765,0.00017721034,0.0000023234356,0.00026376892,0.00007993974,0.0008904003,0.023031998],"study_design_scores_gemma":[0.008403322,0.003219828,0.98537534,0.00012363135,0.000078110934,0.000004739967,0.00013950835,0.0014334173,0.00005858031,0.00006597195,0.000963902,0.00013361951],"about_ca_topic_score_codex":0.0000038883686,"about_ca_topic_score_gemma":0.0000038999597,"teacher_disagreement_score":0.02483564,"about_ca_system_score_codex":0.000018841993,"about_ca_system_score_gemma":0.000033582328,"threshold_uncertainty_score":0.470946},"labels":[],"label_agreement":null},{"id":"W2921074726","doi":"10.1007/s00330-019-06023-z","title":"Evaluation of fractional flow reserve in patients with stable angina: can CT compete with angiography?","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Stenosis; Cardiology; Internal medicine; Angina; Radiology; Stable angina; Unstable angina; Coronary angiography; Myocardial infarction","score_opus":0.011177090321108377,"score_gpt":0.23701475756173127,"score_spread":0.22583766724062287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921074726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98568714,0.0002405901,0.000056884135,0.00010291318,0.00012865542,0.00035138414,0.000034347286,0.00001801801,0.013380077],"genre_scores_gemma":[0.9988856,0.0000031164789,0.0006472143,0.000114082395,0.00005190685,0.000003759126,0.0002104341,0.000022522283,0.00006138461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987567,0.0003912077,0.00014385008,0.00019212313,0.00034834858,0.00016778748],"domain_scores_gemma":[0.99916285,0.00010792884,0.00007881906,0.00024438192,0.00035806504,0.000047953326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007572074,0.00009378318,0.000239058,0.00019971927,0.000016549033,0.0000038072171,0.0000438519,0.0000133192825,0.00007696795],"category_scores_gemma":[0.000119896875,0.00007046369,0.00005506823,0.00024022213,0.00007399675,0.000038492894,0.000015477572,0.00013096772,0.00002257562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027215105,0.00010089624,0.99431366,0.000015250767,0.00012214696,0.000028467133,0.00008592795,0.0034775685,0.000025382476,0.000021366655,0.0010606031,0.00047655447],"study_design_scores_gemma":[0.0053168093,0.0007592988,0.99222577,0.00008767291,0.00018981664,0.00003973086,0.00004118138,0.0005661432,0.000024832318,0.000006594771,0.0006600971,0.000082064835],"about_ca_topic_score_codex":0.000092069415,"about_ca_topic_score_gemma":0.00003243226,"teacher_disagreement_score":0.013318692,"about_ca_system_score_codex":0.00005921372,"about_ca_system_score_gemma":0.00011097067,"threshold_uncertainty_score":0.2873426},"labels":[],"label_agreement":null},{"id":"W2921451319","doi":"10.1007/s00330-019-06065-3","title":"Ultrasound- versus fluoroscopy-guided injections in the lower back for the management of pain: a systematic review","year":2019,"lang":"en","type":"review","venue":"European Radiology","topic":"Anesthesia and Pain Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Fluoroscopy; Interventional radiology; Neuroradiology; Ultrasound; Interventional pain management; Radiology; Pain management; Pain medicine; Physical therapy; Neurology; Anesthesiology; Anesthesia","score_opus":0.09123751774456723,"score_gpt":0.348251514042542,"score_spread":0.2570139962979748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921451319","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":[4.318928e-7,0.9766101,0.0005328261,0.00043605053,0.0003307864,0.012262547,0.0000040024875,0.00001804867,0.009805209],"genre_scores_gemma":[0.0000073466017,0.9922747,0.00024801676,0.0029764317,0.00013737816,0.0006201387,0.00009007733,0.00006505759,0.0035808578],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938597,0.0041567804,0.0011370485,0.00037297956,0.00018072098,0.00029274684],"domain_scores_gemma":[0.99438703,0.0036046223,0.0005590244,0.0013737511,0.000043451608,0.000032115597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00688702,0.0003598492,0.0022126883,0.000109113775,0.000063112726,0.000012625169,0.0007170705,0.00007948095,0.000089640234],"category_scores_gemma":[0.00031062632,0.00017060323,0.00072683144,0.00036825184,0.00011142544,0.000014314561,0.000048853486,0.00030488073,0.00044792466],"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":[0.000023369805,0.00007342646,0.0000035727312,0.93553823,0.001118985,0.0000680181,0.000069137204,0.0000016359797,1.8849294e-8,0.0010635138,0.056101058,0.005939034],"study_design_scores_gemma":[0.0004308507,0.00040078518,0.000023553528,0.26083604,0.0077198423,0.00030739393,0.00012297776,0.0000030067974,3.4361083e-9,0.0000020296002,0.73003197,0.00012154002],"about_ca_topic_score_codex":0.0000029608689,"about_ca_topic_score_gemma":9.667673e-7,"teacher_disagreement_score":0.67470217,"about_ca_system_score_codex":0.0000843556,"about_ca_system_score_gemma":0.000045044086,"threshold_uncertainty_score":0.6956998},"labels":[],"label_agreement":null},{"id":"W2922242638","doi":"10.1007/s00330-019-06114-x","title":"Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"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; Radiological Society of North America; U.S. Department of Veterans Affairs","keywords":"Neuroradiology; Medicine; Prostate cancer; Correlation; Magnetic resonance imaging; Phenotype; Interventional radiology; Radiology; Ultrasound; Cancer; Medical physics; Oncology; Internal medicine; Neurology; Biology; Genetics; Gene","score_opus":0.01428020744453873,"score_gpt":0.24848313619761764,"score_spread":0.2342029287530789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922242638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912477,0.003491532,0.000018622519,0.0006797317,0.00016380659,0.0005176714,0.000039545368,0.00002336287,0.0038180358],"genre_scores_gemma":[0.99668247,0.0017022633,0.00017907258,0.0001523747,0.0001071343,0.000013969319,0.00006569675,0.000026213122,0.0010707909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923074,0.00008973063,0.00021417007,0.0002504546,0.000053416214,0.0001614661],"domain_scores_gemma":[0.9995631,0.000078465346,0.00009695632,0.00016264261,0.000031858803,0.000066960034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013963284,0.00011115703,0.00029780273,0.00006325369,0.000025577323,0.000004066665,0.000035571185,0.000037973885,0.0000912759],"category_scores_gemma":[0.000011501783,0.00008980272,0.000037696092,0.000052586962,0.00008677721,0.000035754387,0.00004484054,0.00010355203,0.00007637952],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029192463,0.000032723143,0.98275065,0.00008581788,0.00013084822,0.00002975035,0.0008582868,0.000055578326,0.0018433107,0.00012099285,0.001250522,0.012549578],"study_design_scores_gemma":[0.0017404105,0.0015369083,0.9867852,0.000103928855,0.0001422993,0.000043489286,0.00003920723,0.000116903546,0.0005450054,0.000032460204,0.008830594,0.00008361595],"about_ca_topic_score_codex":0.000023059352,"about_ca_topic_score_gemma":0.0000010232542,"teacher_disagreement_score":0.012465962,"about_ca_system_score_codex":0.000068804235,"about_ca_system_score_gemma":0.00004459905,"threshold_uncertainty_score":0.3662049},"labels":[],"label_agreement":null},{"id":"W2922279860","doi":"10.1007/s00330-019-06051-9","title":"The value of non-invasive vascular elastography (NIVE) in detecting early vascular changes in overweight and obese children","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; California HIV/AIDS Research Program","keywords":"Medicine; Body mass index; Blood pressure; Overweight; Obesity; Percentile; Internal medicine; Cardiology; Ultrasound; Pulse pressure; Statistical significance; Radiology","score_opus":0.003758165772207433,"score_gpt":0.21408525276890408,"score_spread":0.21032708699669664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922279860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877321,0.01035719,0.00008541531,0.0000630444,0.0001251193,0.00079824455,0.0000032912496,0.000015681224,0.0008199014],"genre_scores_gemma":[0.99666363,0.0029174038,0.00010694846,0.00012626669,0.000117050666,0.000010794995,0.000013618666,0.000027040653,0.000017272489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980695,0.00079330406,0.0002975168,0.0003440332,0.00016266313,0.0003329374],"domain_scores_gemma":[0.9991561,0.00015067086,0.00009865095,0.00043829373,0.000037085752,0.000119183904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013064598,0.00014695563,0.00042278346,0.0002786695,0.000048802154,0.0000073151114,0.00010514926,0.00006713548,0.000010121596],"category_scores_gemma":[0.00017839689,0.00011462987,0.00026356863,0.00029314592,0.000101602745,0.000040548897,0.00007960435,0.00026304412,0.000019397332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023033966,0.00006832623,0.98551553,0.00019415058,0.00031189833,0.000075703465,0.0007549068,0.00007639088,0.0038352143,0.00007962798,0.000016265918,0.008841668],"study_design_scores_gemma":[0.0033729838,0.00024869194,0.99516207,0.00019073061,0.000092820985,0.00007818587,0.00011765927,0.00007011169,0.00017476815,0.00004053519,0.0003474987,0.00010392836],"about_ca_topic_score_codex":0.00022385526,"about_ca_topic_score_gemma":0.00013964422,"teacher_disagreement_score":0.009646578,"about_ca_system_score_codex":0.00003352407,"about_ca_system_score_gemma":0.000054299973,"threshold_uncertainty_score":0.46744704},"labels":[],"label_agreement":null},{"id":"W2925092584","doi":"10.1007/s00330-019-06062-6","title":"Proposed achievable levels of dose and impact of dose-reduction systems for thrombectomy in acute ischemic stroke: an international, multicentric, retrospective study in 1096 patients","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Medicine; Kerma; Percentile; Interventional radiology; Neuroradiology; Interventional neuroradiology; Nuclear medicine; Retrospective cohort study; Stroke (engine); Angiography; Radiation dose; Multivariate analysis; Radiology; Surgery; Internal medicine; Dosimetry; Neurology","score_opus":0.018679983997843267,"score_gpt":0.3037111933969968,"score_spread":0.28503120939915355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925092584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354494,0.00007004009,0.000021409418,0.000019864816,0.00033618594,0.0031050958,0.000102114485,0.000016567275,0.0027837874],"genre_scores_gemma":[0.9990897,0.000039295148,0.0002919598,0.000007421142,0.00006451283,0.000016609656,0.00006623291,0.00003311125,0.00039111782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836016,0.00024410339,0.0005604996,0.00042390436,0.00017604213,0.00023526902],"domain_scores_gemma":[0.9990726,0.000042911313,0.00033744803,0.00033264072,0.00016108408,0.000053298758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005542339,0.00017923623,0.0005745631,0.0003584522,0.000011674094,0.0000069057496,0.00017936548,0.00005441888,0.0000281404],"category_scores_gemma":[0.00013383622,0.00014953011,0.000064897686,0.00017280258,0.000071381815,0.00016331294,0.00010912874,0.00018063183,0.000004678827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014232633,0.00096929766,0.9174596,0.00008196772,0.0005004588,0.000013347298,0.0015869304,0.00017241343,0.07698535,0.000009612488,0.0004836737,0.00031405117],"study_design_scores_gemma":[0.013539818,0.0036008798,0.97958094,0.0000680925,0.000102497106,0.00002241423,0.00094979967,0.0011492522,0.00081123825,6.8447014e-7,0.00006474622,0.00010965896],"about_ca_topic_score_codex":0.00017932645,"about_ca_topic_score_gemma":0.0000043013574,"teacher_disagreement_score":0.07617412,"about_ca_system_score_codex":0.00034745276,"about_ca_system_score_gemma":0.000042016567,"threshold_uncertainty_score":0.60976607},"labels":[],"label_agreement":null},{"id":"W2925232006","doi":"10.1007/s00330-019-06045-7","title":"Comparative reviews of diagnostic test accuracy in imaging research: evaluation of current practices","year":2019,"lang":"en","type":"review","venue":"European Radiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Ottawa Hospital; University of Ottawa","funders":"National Institute for Health and Care Research; University of Ottawa","keywords":"Medicine; Comparative effectiveness research; Medical physics; Meta-analysis; Neuroradiology; Systematic review; MEDLINE; Test (biology); Clinical study design; Pathology; Alternative medicine; Clinical trial","score_opus":0.9826190062658249,"score_gpt":0.7413920938802429,"score_spread":0.24122691238558203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925232006","genre_codex":"review","genre_gemma":"review","domain_codex":"methods","domain_gemma":"methods","model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010447731,0.9749448,0.000073151,0.000034450004,0.000509164,0.0047693616,0.000049050373,0.000001677417,0.019513901],"genre_scores_gemma":[0.0015831669,0.9975652,0.00021051036,0.000009100088,0.00015723797,0.00011691351,0.00007294661,0.000024821336,0.00026009302],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.4490905,0.5090013,0.03138531,0.002348478,0.0075774738,0.0005969355],"domain_scores_gemma":[0.43535808,0.4770243,0.07401007,0.007929123,0.0055151833,0.00016326355],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.5536421,0.00051435473,0.016510151,0.0016914075,0.000052821688,0.00014325809,0.0036890411,0.00007927894,0.003428474],"category_scores_gemma":[0.8404359,0.0002484005,0.0023168211,0.0029143163,0.0003110801,0.0002636056,0.00046939868,0.00092145154,0.01073579],"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":[0.0000013937462,0.00011242539,0.0009133441,0.00599643,0.00009613273,0.000004695834,0.0004532955,0.000013046846,0.0000014412367,0.00011894125,0.040547308,0.9517415],"study_design_scores_gemma":[0.00014698158,0.000059127553,0.00071896013,0.0090476135,0.0015427988,0.000035305937,0.00012480794,0.0003410149,1.675811e-7,0.00014960393,0.9876552,0.0001784235],"about_ca_topic_score_codex":0.000007353222,"about_ca_topic_score_gemma":0.000011872087,"teacher_disagreement_score":0.9515631,"about_ca_system_score_codex":0.00012629716,"about_ca_system_score_gemma":0.0006021717,"threshold_uncertainty_score":0.99999684},"labels":[],"label_agreement":null},{"id":"W2928717618","doi":"10.1007/s00330-019-06177-w","title":"Late gadolinium MRI enhancement of colorectal liver metastases is associated with overall survival among nonsurgical patients","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Interventional radiology; Neuroradiology; Radiology; Magnetic resonance imaging; Ultrasound; Gadolinium; Colorectal cancer; Overall survival; Internal medicine; Cancer; Neurology","score_opus":0.02649472615244939,"score_gpt":0.21956497563254315,"score_spread":0.19307024948009377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928717618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98837966,0.0001599211,0.000018660949,0.000043243595,0.00018235613,0.00058447255,0.000056071258,0.000036194568,0.010539412],"genre_scores_gemma":[0.99769086,0.00008173106,0.00016318767,0.00014551186,0.00004312472,0.0000072848093,0.00040138807,0.000038060145,0.0014288604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981619,0.00062880607,0.00032825605,0.0003470068,0.00022089093,0.00031313504],"domain_scores_gemma":[0.9991537,0.00016526043,0.0001967225,0.00022480954,0.00013367728,0.00012583824],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037168586,0.00021212506,0.0005835151,0.00008109198,0.000032302254,0.0000061859705,0.000092687005,0.000068947076,0.0010617209],"category_scores_gemma":[0.000044965385,0.00015315051,0.0001482401,0.00011157156,0.00014347625,0.000045534453,0.00005849426,0.00016233868,0.00027643563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000778134,0.0005087798,0.99575025,0.000024364583,0.00061646587,0.0004035477,0.0003287119,0.0000017727888,0.0007213438,0.000021839163,0.000651502,0.00019330553],"study_design_scores_gemma":[0.005856226,0.003984627,0.9834269,0.00007909916,0.00033132525,0.000016462902,0.000012062142,0.00041998646,0.0044471705,0.0000014772273,0.0012403411,0.00018428123],"about_ca_topic_score_codex":0.0000301156,"about_ca_topic_score_gemma":0.000005954545,"teacher_disagreement_score":0.012323292,"about_ca_system_score_codex":0.000055255776,"about_ca_system_score_gemma":0.000038303442,"threshold_uncertainty_score":0.99985147},"labels":[],"label_agreement":null},{"id":"W2936340812","doi":"10.1007/s00330-019-06159-y","title":"Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Victoria Hospital; Jewish General Hospital; Université de Montréal; Royal Victoria Regional Health Centre; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Réseau de cancérologie Rossy","keywords":"Medicine; Neuroradiology; Head and neck squamous-cell carcinoma; Lymph node metastasis; Cervical lymph nodes; Radiology; Interventional radiology; Head and neck; Basal cell; Lymph node; Ultrasound; Head and neck cancer; Metastasis; Radiation therapy; Pathology; Internal medicine; Surgery; Cancer; Neurology","score_opus":0.005765094514935071,"score_gpt":0.22013333593738327,"score_spread":0.2143682414224482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936340812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840962,0.0027465364,0.004218102,0.000603942,0.0000874198,0.00010706972,0.000034422428,0.00007098665,0.008035264],"genre_scores_gemma":[0.9960978,0.00012304704,0.0009728752,0.00061365386,0.0001214545,0.0000022477066,0.00040240114,0.000060613318,0.0016059233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997949,0.0005966928,0.00038782103,0.00051579124,0.00021934626,0.0003313724],"domain_scores_gemma":[0.9990234,0.00014759983,0.00020820311,0.0003372415,0.00005741592,0.00022615904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047230508,0.00024574122,0.00073454616,0.0002653985,0.0000789423,0.000014421921,0.0001079704,0.00005507819,0.000194192],"category_scores_gemma":[0.00009643396,0.00018241018,0.00013775597,0.0004012495,0.00018279329,0.000047218407,0.000079056794,0.0005226294,0.000013162017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002795409,0.00015258571,0.98277885,0.00015650959,0.00041905418,0.00032851569,0.00021449126,0.003009042,0.008629673,0.000060103433,0.0009071265,0.003064511],"study_design_scores_gemma":[0.007448563,0.0016932262,0.8314276,0.000037478992,0.0023347158,0.0018021284,0.00012011196,0.13392864,0.0003867879,0.0000052700498,0.02050493,0.00031059602],"about_ca_topic_score_codex":0.00038609054,"about_ca_topic_score_gemma":0.0000046976716,"teacher_disagreement_score":0.15135129,"about_ca_system_score_codex":0.000039788156,"about_ca_system_score_gemma":0.0000342094,"threshold_uncertainty_score":0.74384713},"labels":[],"label_agreement":null},{"id":"W2937582454","doi":"10.1007/s00330-019-06169-w","title":"Image-based biomarkers for solid tumor quantification","year":2019,"lang":"en","type":"review","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; McGill University","funders":"","keywords":"Medicine; Clinical Practice; Personalized medicine; Biomarker; Artificial intelligence; Radiomics; Precision medicine; Medical physics; Image processing; Computer science; Data science; Pathology; Image (mathematics); Bioinformatics","score_opus":0.05823360293449027,"score_gpt":0.3810091473915019,"score_spread":0.3227755444570116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937582454","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":[0.000008709557,0.9744451,0.015478672,0.0005518406,0.001275859,0.0017056959,0.00004382516,0.00015609454,0.006334204],"genre_scores_gemma":[0.000026158676,0.98083025,0.0134968,0.0011707116,0.0011422521,0.00007255701,0.0018387886,0.0002818404,0.0011406589],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971705,0.0007622501,0.0007773263,0.00071589067,0.00012781599,0.00044622208],"domain_scores_gemma":[0.997859,0.0006108748,0.00053056784,0.00072497234,0.00008534566,0.00018921368],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014676024,0.0004124725,0.0018903548,0.00034324045,0.00008468803,0.000033427972,0.0003456213,0.00013340366,0.00008494789],"category_scores_gemma":[0.0012688751,0.00031718623,0.0007301636,0.00017831114,0.00024479537,0.000025687095,0.000044889257,0.0006511454,0.0008300441],"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":[0.000064940934,0.000071790884,0.00001377506,0.022114858,0.00044259857,0.00020042386,0.000014141313,0.0000035455662,0.00013410351,0.00013941666,0.042110804,0.9346896],"study_design_scores_gemma":[0.0009775759,0.00025675862,0.000034502376,0.0038123657,0.001338115,0.00072439073,0.0000033396732,0.0026955782,0.0000016128498,0.0000046044624,0.9898552,0.00029598034],"about_ca_topic_score_codex":0.0000026212515,"about_ca_topic_score_gemma":7.756065e-8,"teacher_disagreement_score":0.94774437,"about_ca_system_score_codex":0.00010952402,"about_ca_system_score_gemma":0.00037146255,"threshold_uncertainty_score":0.9999479},"labels":[],"label_agreement":null},{"id":"W2945195048","doi":"10.1007/s00330-019-06234-4","title":"High sensitivity and specificity of 4D-CTA in the detection of cranial arteriovenous shunts","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Vascular Malformations Diagnosis and Treatment","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 Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Digital subtraction angiography; Arteriovenous malformation; Arteriovenous fistula; Predictive value; Interventional radiology; Angiography; Neurosurgery; Cerebral angiography; Intracranial Arteriovenous Malformations; Neurology; Internal medicine","score_opus":0.009027830838205072,"score_gpt":0.20973548235623138,"score_spread":0.2007076515180263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945195048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826145,0.00012136814,0.00014371042,0.0001286751,0.000077224526,0.00022328348,0.0000059399704,0.000004857005,0.0010335103],"genre_scores_gemma":[0.99969035,0.00008107467,0.00009699299,0.0000710942,0.000040552088,0.0000012325669,0.0000070954084,0.00000540502,0.000006172481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992589,0.00034800512,0.00016861245,0.00009522858,0.000056821547,0.0000724346],"domain_scores_gemma":[0.99963534,0.000079646314,0.00006705656,0.00018237077,0.00002152258,0.0000140462525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041745778,0.000055782515,0.00020494153,0.000055732467,0.000016813754,0.0000026241632,0.000024935001,0.000021661765,0.00001806442],"category_scores_gemma":[0.000028836013,0.00003714897,0.00004123474,0.000059551145,0.00006411069,0.000021847374,0.000015225512,0.000067048815,0.000016784114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078116404,0.0020089212,0.63592213,0.00030346608,0.0004073985,0.00057437865,0.006880029,0.00026682773,0.26881707,0.003043722,0.00008442218,0.08091048],"study_design_scores_gemma":[0.0011353625,0.0005658819,0.9946867,0.00001863572,0.000032517226,0.00036378865,0.00009918202,0.00011328312,0.0026607232,0.000012914344,0.00028064748,0.000030318459],"about_ca_topic_score_codex":0.000074915224,"about_ca_topic_score_gemma":0.000038127393,"teacher_disagreement_score":0.35876462,"about_ca_system_score_codex":0.000014025955,"about_ca_system_score_gemma":0.000007665423,"threshold_uncertainty_score":0.15148911},"labels":[],"label_agreement":null},{"id":"W2949076424","doi":"10.1007/s00330-019-06229-1","title":"Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Artificial intelligence; Attenuation; Image quality; Computer science; Convolutional neural network; Encoder; Pattern recognition (psychology); Correction for attenuation; Nuclear medicine; Pixel; Computer vision; Positron emission tomography; Medicine; Physics; Image (mathematics); Optics","score_opus":0.036797504171274566,"score_gpt":0.3243212062934852,"score_spread":0.2875237021222106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949076424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61657965,0.0002330743,0.36570632,0.0037248782,0.0005847183,0.0006594318,0.00004151655,0.00023842842,0.012231987],"genre_scores_gemma":[0.97245425,0.000043520035,0.02403879,0.0008410554,0.00029410687,0.000003786448,0.0008269935,0.00003209574,0.0014653757],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985269,0.00031815,0.00036785347,0.0004227106,0.00016828439,0.00019612313],"domain_scores_gemma":[0.9986777,0.00021810184,0.00019818783,0.0006897406,0.00010879407,0.000107499356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007793138,0.00013444686,0.00030324727,0.00010338142,0.000064635475,0.000006700573,0.00023592076,0.000047771246,0.00038784722],"category_scores_gemma":[0.0004464336,0.00011602714,0.000055344117,0.00014621337,0.00016330564,0.00009139178,0.00015936836,0.00020150513,0.00007480532],"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":[0.00014451744,0.0003194203,0.049841557,0.00011786518,0.000092451446,0.00006491922,0.00020525431,0.00015032657,0.79672104,0.00027119825,0.12307207,0.028999384],"study_design_scores_gemma":[0.0022709074,0.0004569554,0.08435384,0.0003427459,0.00024010165,0.0037211624,0.00009789134,0.7840395,0.0072561027,0.00016742432,0.11660849,0.000444872],"about_ca_topic_score_codex":0.000054569817,"about_ca_topic_score_gemma":0.000004205245,"teacher_disagreement_score":0.78946495,"about_ca_system_score_codex":0.00005694462,"about_ca_system_score_gemma":0.0000858916,"threshold_uncertainty_score":0.47314495},"labels":[],"label_agreement":null},{"id":"W2949819707","doi":"10.1007/s00330-019-06293-7","title":"Impact of sublingual nitroglycerin dosage on FFRCT assessment and coronary luminal volume–to–myocardial mass ratio","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Fractional flow reserve; Stenosis; Cardiology; Nuclear medicine; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.011251107033067965,"score_gpt":0.3056214488819804,"score_spread":0.2943703418489124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949819707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763753,0.00016618597,0.00029531098,0.00026265622,0.0006829224,0.0003301192,0.00004500618,0.000045360594,0.021797182],"genre_scores_gemma":[0.9973804,0.00002254067,0.0007391694,0.0004066546,0.0007844768,0.0000028896998,0.00007467806,0.000040743318,0.0005484457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986488,0.00033181818,0.00025895084,0.00032460934,0.0001533142,0.00028249586],"domain_scores_gemma":[0.9990772,0.00021948434,0.00007906456,0.00035867185,0.00007004684,0.00019554993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004335958,0.00018297728,0.0004828009,0.00015322577,0.000031310607,0.000014341444,0.00007721023,0.00004540607,0.00012665984],"category_scores_gemma":[0.00018862999,0.00015669967,0.00017928547,0.000093848605,0.00011075839,0.000030271618,0.00006360434,0.00025838442,0.00025173498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064328115,0.00008184671,0.9660754,0.000023451068,0.00019148987,0.00044224117,0.00018575607,0.0003028111,0.01729832,0.000074541764,0.011355445,0.00332542],"study_design_scores_gemma":[0.0021172627,0.0037906568,0.9906509,0.000039421077,0.0000924244,0.0005918715,0.00003832166,0.00016927556,0.00010959895,0.000007678556,0.0022490113,0.00014359546],"about_ca_topic_score_codex":0.000023631383,"about_ca_topic_score_gemma":2.494151e-7,"teacher_disagreement_score":0.024575487,"about_ca_system_score_codex":0.00010549699,"about_ca_system_score_gemma":0.00014929243,"threshold_uncertainty_score":0.63900274},"labels":[],"label_agreement":null},{"id":"W2950354828","doi":"10.1007/s00330-019-06276-8","title":"Hepatic fat is superior to BMI, visceral and pancreatic fat as a potential risk biomarker for neurodegenerative disease","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Hippocampus; Body mass index; Endocrinology; Population; Intra-Abdominal Fat; Obesity; Insulin resistance","score_opus":0.01084468734054992,"score_gpt":0.25494896607852496,"score_spread":0.24410427873797505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950354828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432075,0.0012448009,0.0001306358,0.001445247,0.00028218894,0.0016212694,0.0002694384,0.000047193473,0.0006384827],"genre_scores_gemma":[0.9939654,0.00031386982,0.0003308843,0.003591955,0.0002742514,0.00009633283,0.00012924214,0.000057587167,0.0012404902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838454,0.0003571234,0.00023182241,0.00059127907,0.000107442815,0.00032779097],"domain_scores_gemma":[0.998895,0.000113927,0.000061186154,0.000365488,0.000059654594,0.00050473545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098853954,0.00024806635,0.00041165279,0.00009544055,0.00010371331,0.000031923893,0.00008028124,0.00003083211,0.000363368],"category_scores_gemma":[0.00012253616,0.00018847911,0.00016895297,0.00007113224,0.00007447935,0.000049180868,0.000079210564,0.00007320818,0.0005852181],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039536045,0.0006267809,0.9582738,0.00020875288,0.001024205,0.001167205,0.0012764268,0.000037550057,0.008743681,0.00026696868,0.01618651,0.008234517],"study_design_scores_gemma":[0.004716342,0.0020312737,0.98554957,0.00006462293,0.0011131281,0.00007959067,0.00007009234,0.0012939883,0.00044919024,0.00006549385,0.0043133465,0.00025334727],"about_ca_topic_score_codex":0.00004312805,"about_ca_topic_score_gemma":0.0000018518004,"teacher_disagreement_score":0.027275786,"about_ca_system_score_codex":0.00004435286,"about_ca_system_score_gemma":0.000036267105,"threshold_uncertainty_score":0.7685955},"labels":[],"label_agreement":null},{"id":"W2953660200","doi":"10.1007/s00330-019-06331-4","title":"Prospective comparison of transient, point shear wave, and magnetic resonance elastography for staging liver fibrosis","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Université de Montréal; CARE Canada; Philips (Canada); McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Institute of Nutrition, Metabolism and Diabetes; Siemens Healthineers","keywords":"Medicine; Transient elastography; Nonalcoholic fatty liver disease; Gastroenterology; Internal medicine; Magnetic resonance elastography; Liver biopsy; Fibrosis; Steatosis; Prospective cohort study; Elastography; Magnetic resonance imaging; Radiology; Biopsy; Fatty liver; Ultrasound; Disease","score_opus":0.014534652945695848,"score_gpt":0.24559080056127788,"score_spread":0.23105614761558205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953660200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98333305,0.012349639,0.00010160795,0.00012468534,0.00007958596,0.0009593251,0.000059314145,0.000025186817,0.0029675933],"genre_scores_gemma":[0.99723923,0.00036447632,0.0020075862,0.00012415866,0.000043140368,0.00002262022,0.00002202568,0.000024789035,0.00015196751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991165,0.0001005554,0.00021018901,0.0003137295,0.000069728536,0.00018933827],"domain_scores_gemma":[0.9994906,0.00011310108,0.00006105309,0.00019179084,0.000054987522,0.00008845562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010576162,0.00012641704,0.00035832924,0.00008405538,0.000033937496,0.0000048731054,0.00003900078,0.000025511268,0.000083865714],"category_scores_gemma":[0.000014157871,0.00010341506,0.000111788344,0.00007654314,0.000116525895,0.00003104885,0.000021242571,0.000069174,0.000017913902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073765364,0.00042893327,0.98066103,0.0002077263,0.00011214655,0.00002562994,0.0020532685,0.000005084409,0.0021627534,0.0005821619,0.0013137659,0.011709828],"study_design_scores_gemma":[0.0031855693,0.0031817234,0.9867181,0.00011589431,0.00018661757,0.000022177222,0.00017629753,0.00024140063,0.0007115937,0.000020688623,0.0053438074,0.00009613566],"about_ca_topic_score_codex":0.000010309151,"about_ca_topic_score_gemma":9.533127e-7,"teacher_disagreement_score":0.013906174,"about_ca_system_score_codex":0.00002127089,"about_ca_system_score_gemma":0.000014206788,"threshold_uncertainty_score":0.4217144},"labels":[],"label_agreement":null},{"id":"W2985935434","doi":"10.1007/s00330-019-06487-z","title":"Glucose dysregulation in patients with iron overload: is there a relationship with quantitative pancreas and liver iron and fat content measured by MRI?","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"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; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Internal medicine; Pancreas; Endocrinology; Medicine; Carbohydrate metabolism; Gastroenterology","score_opus":0.01754505752105036,"score_gpt":0.21630705314787654,"score_spread":0.19876199562682617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985935434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298096,0.0037851126,0.00010477865,0.00017962369,0.000032283,0.0005809086,0.000015144425,0.000019511635,0.0023017053],"genre_scores_gemma":[0.9982984,0.00016661105,0.00046461026,0.0003120272,0.000014750259,0.0000036724464,0.00008432841,0.00002996001,0.0006256347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988273,0.00036518933,0.00016450923,0.00032085757,0.00013154923,0.00019059677],"domain_scores_gemma":[0.99950594,0.00008336269,0.00010042796,0.0001792982,0.00005482113,0.00007617909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020827934,0.00015854472,0.00027184008,0.0000790936,0.000043456894,0.000010068494,0.000034641147,0.00005159549,0.000050348284],"category_scores_gemma":[0.0000470192,0.000108439104,0.000013895985,0.00008203841,0.00015595618,0.000109857,0.000020140978,0.0001460968,0.000029768316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021587173,0.000083156105,0.993392,0.000055196706,0.000016776665,0.000010811911,0.0018965275,0.0000094569905,0.00052188546,0.00069475727,0.0003249097,0.000835803],"study_design_scores_gemma":[0.008098549,0.0013181857,0.9891421,0.000062932304,0.000070412665,0.000014798578,0.00049104524,0.000053118092,0.000024263307,0.000010132866,0.0005725349,0.00014192176],"about_ca_topic_score_codex":0.000076669035,"about_ca_topic_score_gemma":0.000027182727,"teacher_disagreement_score":0.005939832,"about_ca_system_score_codex":0.000021589025,"about_ca_system_score_gemma":0.000013422454,"threshold_uncertainty_score":0.44220182},"labels":[],"label_agreement":null},{"id":"W2986047573","doi":"10.1007/s00330-019-06459-3","title":"Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":51,"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 Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; IXICO; H. Lundbeck A/S; University College London Hospitals NHS Foundation Trust; Eisai; Ministero della Salute; Servier; Stichting MS Research; National Institutes of Health; Rosetrees Trust; KWF Kankerbestrijding; University of Southern California; University College London; Novartis Pharmaceuticals Corporation; Multiple Sclerosis Society; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Meso Scale Diagnostics; Teva Pharmaceutical Industries; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Celgene; Fondazione Italiana Sclerosi Multipla; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Bayer HealthCare; Alzheimer's Disease Neuroimaging Initiative; Sanofi; Alzheimer's Association; Genentech; National Multiple Sclerosis Society; Foundation for the National Institutes of Health","keywords":"Neuroimaging; Neuroradiology; Interventional radiology; Medicine; Image (mathematics); Radiology; Computer vision; Artificial intelligence; Internet privacy; Medical physics; Neurology; Computer science; Psychiatry","score_opus":0.018766300757103224,"score_gpt":0.3150669661663633,"score_spread":0.2963006654092601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986047573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99092066,0.00055522454,0.00012620402,0.00024748498,0.000110303044,0.00020303892,0.0000025026613,0.00003193682,0.007802632],"genre_scores_gemma":[0.98370564,0.000102274505,0.015823295,0.00013197756,0.000045491044,0.0000025425493,0.00002023373,0.000022674607,0.00014584887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843603,0.000531201,0.00033188626,0.0003477816,0.000091838934,0.00026126896],"domain_scores_gemma":[0.99921334,0.00016055942,0.00013189223,0.0003952606,0.000035915495,0.000063020096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005247075,0.0001602945,0.00057266117,0.0004976675,0.000028649976,0.00001017122,0.00013458364,0.00003473361,0.000076962446],"category_scores_gemma":[0.00016147022,0.00012780871,0.00017539659,0.00050200074,0.00007316541,0.000065594155,0.000082399536,0.00020367757,0.000043854725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007736358,0.000086867185,0.87494546,0.000044849767,0.00023665093,0.00022143043,0.0005532602,0.00019690247,0.107751735,0.000034568126,0.00007449583,0.01577642],"study_design_scores_gemma":[0.0011369853,0.000260316,0.9847391,0.00003548126,0.00028197074,0.00016058248,0.0000646909,0.0010178562,0.011451784,0.000003831357,0.0007467178,0.0001006818],"about_ca_topic_score_codex":0.000036282443,"about_ca_topic_score_gemma":0.0000033896872,"teacher_disagreement_score":0.10979365,"about_ca_system_score_codex":0.00004202993,"about_ca_system_score_gemma":0.000019448933,"threshold_uncertainty_score":0.5211888},"labels":[],"label_agreement":null},{"id":"W2994832406","doi":"10.1007/s00330-019-06590-1","title":"Characterization of clear cell renal cell carcinoma and other renal tumors: evaluation of dual-energy CT using material-specific iodine and fat imaging","year":2019,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Chromophobe cell; Renal cell carcinoma; Iodine; Neuroradiology; Clear cell; Oncocytoma; Renal oncocytoma; Papillary renal cell carcinomas; Nuclear medicine; Urology; Radiology; Pathology; Chemistry","score_opus":0.012461296518277877,"score_gpt":0.2012715885277062,"score_spread":0.18881029200942834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994832406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99333763,0.0006523714,0.0034830223,0.000004169714,0.00017841296,0.00009640194,0.000021460442,0.000030436891,0.002196107],"genre_scores_gemma":[0.9991465,0.000059992122,0.0005342085,0.000018115572,0.0001369578,9.167308e-7,0.000026910975,0.000048677324,0.000027692262],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999025,0.00022575715,0.00030136667,0.00019751814,0.000089134635,0.00016123307],"domain_scores_gemma":[0.99961305,0.000018625908,0.00013418809,0.00015649933,0.00004476726,0.000032876258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032336294,0.00013574377,0.00022747267,0.00010999602,0.00002715775,0.0000121616395,0.000053649408,0.000016091799,0.000077692705],"category_scores_gemma":[0.0000043100554,0.00013925905,0.000021288712,0.00006600661,0.00007024966,0.00012734848,0.000038714683,0.000065403154,0.0000037348548],"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":[0.000035132092,0.000008030834,0.0026509955,0.000061975436,0.0000055781843,0.000007982011,0.0002535967,0.004486863,0.9908673,0.00004177302,0.000009633413,0.0015711398],"study_design_scores_gemma":[0.0016804658,0.000119961594,0.033113573,0.000111064495,0.000056059147,0.00021462806,0.00013273368,0.10117511,0.8612134,0.0000492681,0.0018074294,0.0003263406],"about_ca_topic_score_codex":0.000006833372,"about_ca_topic_score_gemma":2.2246606e-7,"teacher_disagreement_score":0.12965393,"about_ca_system_score_codex":0.000023881354,"about_ca_system_score_gemma":0.000006477252,"threshold_uncertainty_score":0.56788194},"labels":[],"label_agreement":null},{"id":"W2996762549","doi":"10.1007/s00330-019-06549-2","title":"Digital breast tomosynthesis for breast cancer detection: a diagnostic test accuracy systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Ottawa Hospital; Impact; Western University; University of Ottawa; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Meta-analysis; Breast cancer; Digital Breast Tomosynthesis; Mammography; Confidence interval; Digital mammography; Diagnostic accuracy; Internal medicine; Oncology; Cancer","score_opus":0.04276504330113395,"score_gpt":0.31255798436974414,"score_spread":0.2697929410686102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996762549","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":[1.9681083e-7,0.9867391,0.00026526814,0.0012957953,0.00005996418,0.0037051693,0.0067340964,0.00015009924,0.0010503137],"genre_scores_gemma":[0.0006914247,0.9962006,0.00003875886,0.0010352801,0.00032248895,0.0008979372,0.00019239455,0.000153801,0.0004672915],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9962249,0.0005805797,0.0014842893,0.0010328224,0.00019952076,0.00047791214],"domain_scores_gemma":[0.9904573,0.007260498,0.0009471854,0.00074848224,0.00017099471,0.0004155683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055126805,0.0008736947,0.010681167,0.0004701567,0.0001146174,0.00018224971,0.000383299,0.00012062063,0.00018021032],"category_scores_gemma":[0.004646069,0.0005618208,0.005144321,0.0014289127,0.00020823082,0.00023756127,0.00013223845,0.00039248864,0.000099181416],"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":[0.000007904079,0.000060236867,0.00000838234,0.52309585,0.12488284,0.00023845969,0.00000819625,9.110853e-8,6.2715166e-8,0.0000047290105,0.0003012858,0.35139197],"study_design_scores_gemma":[0.00015111855,0.000107486696,0.00003925776,0.030445518,0.8110335,0.02740169,0.000005642806,0.0000039450038,5.4197873e-8,0.0000019752986,0.13036622,0.00044359223],"about_ca_topic_score_codex":0.000003856713,"about_ca_topic_score_gemma":0.0000020731359,"teacher_disagreement_score":0.68615067,"about_ca_system_score_codex":0.00008560069,"about_ca_system_score_gemma":0.000116296724,"threshold_uncertainty_score":0.9996833},"labels":[],"label_agreement":null},{"id":"W2999252450","doi":"10.1007/s00330-019-06568-z","title":"Publication bias in diagnostic imaging: conference abstracts with positive conclusions are more likely to be published","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Mach-Gaensslen Foundation of Canada; University of Ottawa","keywords":"Confounding; Medicine; Logistic regression; Odds ratio; Odds; Publication bias; Neuroradiology; Conditional logistic regression; Family medicine; Internal medicine; Psychiatry","score_opus":0.5713894368245676,"score_gpt":0.4400153789018662,"score_spread":0.13137405792270135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999252450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61859185,0.00035120107,0.014740471,0.295347,0.0002169942,0.0016090281,0.00012381775,0.000039991985,0.06897967],"genre_scores_gemma":[0.98093134,0.000007818609,0.0012631266,0.016789123,0.000100603625,0.000023666074,0.00007002507,0.00001953573,0.0007947894],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98203516,0.010339172,0.004659093,0.0012817964,0.001344895,0.00033988623],"domain_scores_gemma":[0.98537886,0.007602365,0.0031154668,0.0018050751,0.0015956825,0.0005025257],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02646046,0.00027692592,0.0018141875,0.00037533417,0.000108503205,0.000980602,0.0018499604,0.000038500828,0.0030330732],"category_scores_gemma":[0.20709135,0.00014555667,0.00027054164,0.0016702943,0.00013291447,0.00038919697,0.00031407774,0.00027672955,0.0042126817],"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":[0.00004523307,0.000107060565,0.31374523,0.000021904953,0.00012977514,0.0006275653,0.010723894,0.0011793681,0.00034865914,0.0031928683,0.6607599,0.00911851],"study_design_scores_gemma":[0.00031028883,0.00010892908,0.8735233,0.0000367979,0.000053204712,0.00007198186,0.0014281486,0.0011446842,0.000014601599,0.00009969825,0.12299192,0.0002164777],"about_ca_topic_score_codex":0.000016879665,"about_ca_topic_score_gemma":0.000047403322,"teacher_disagreement_score":0.55977803,"about_ca_system_score_codex":0.000033463395,"about_ca_system_score_gemma":0.00009376755,"threshold_uncertainty_score":0.9978783},"labels":[],"label_agreement":null},{"id":"W2999636319","doi":"10.1007/s00330-019-06450-y","title":"Impact of MRI technique on clinical decision-making in patients with liver iron overload: comparison of FerriScan- versus R2*-derived liver iron concentration","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"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; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Magnetic resonance imaging; Radiology; Clinical judgment; Clinical decision making; Nuclear medicine; Clinical Practice; Confidence interval; Medical physics; Internal medicine; Intensive care medicine; Physical therapy","score_opus":0.02677530997144065,"score_gpt":0.32761754137351207,"score_spread":0.3008422314020714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999636319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959228,0.0002326505,0.0008279255,0.00007237672,0.00012883208,0.00061336084,0.000011526586,0.000029225319,0.002161315],"genre_scores_gemma":[0.99869007,0.00021667265,0.00083290465,0.00013099347,0.00005503207,0.0000017957115,0.00003856443,0.00003102889,0.0000029118958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980461,0.0004944047,0.0007035811,0.00033932022,0.00018717027,0.0002294173],"domain_scores_gemma":[0.9988769,0.00032574387,0.0003562458,0.00023898177,0.00007946845,0.00012260968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024957006,0.00018679962,0.00061231165,0.00007461641,0.00002686729,0.0000035446833,0.00012755758,0.00016402533,0.00010901947],"category_scores_gemma":[0.0003715512,0.00013465504,0.0001378044,0.00017986858,0.00023462134,0.000045210465,0.000050344843,0.0004696802,0.000023295015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025312053,0.0010125542,0.9436568,0.000074507,0.00014585852,0.00015135668,0.0018578434,0.0028292153,0.0014796916,0.000037470923,0.0020342262,0.021408448],"study_design_scores_gemma":[0.008720638,0.017987216,0.9707033,0.00032164168,0.00008696949,0.000006108343,0.00012572767,0.0016103208,0.00012967872,0.0000018126315,0.0001545062,0.00015205446],"about_ca_topic_score_codex":0.000025407839,"about_ca_topic_score_gemma":0.0000053638278,"teacher_disagreement_score":0.02704655,"about_ca_system_score_codex":0.000087552755,"about_ca_system_score_gemma":0.000078179546,"threshold_uncertainty_score":0.5491073},"labels":[],"label_agreement":null},{"id":"W2999783973","doi":"10.1007/s00330-019-06583-0","title":"Hypovascular pancreas head adenocarcinoma: CT texture analysis for assessment of resection margin status and high-risk features","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; Juravinski Cancer Centre; Juravinski Hospital","funders":"","keywords":"Medicine; Receiver operating characteristic; Kurtosis; McNemar's test; Standard deviation; Nuclear medicine; Radiology; Quartile; Correlation; Internal medicine; Mathematics; Statistics; Confidence interval","score_opus":0.03874181221181503,"score_gpt":0.33203192385315866,"score_spread":0.2932901116413436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999783973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98585725,0.0039367834,0.005865938,0.0013393129,0.000052425206,0.0005840688,0.00007057282,0.000036283895,0.0022573448],"genre_scores_gemma":[0.9919769,0.0012509112,0.005560789,0.00034279606,0.0003137376,0.000019801837,0.00017654337,0.000028167795,0.00033034256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977063,0.00097252586,0.00033417,0.0004477099,0.00017717257,0.00036212493],"domain_scores_gemma":[0.9987519,0.00038956347,0.00015324447,0.00031153194,0.00011802405,0.00027576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008419512,0.00016471601,0.0009169082,0.00020521416,0.000099648576,0.000008361064,0.00009990998,0.00007049203,0.000097293174],"category_scores_gemma":[0.00060664356,0.00012930081,0.00020295195,0.00038147598,0.00022700187,0.000028445633,0.00007189007,0.000387959,0.0000059730837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007531306,0.000066733075,0.98960644,0.00014186396,0.002605467,0.00015010194,0.0002565381,0.000041135732,0.0010655859,0.0004668478,0.0025211084,0.0023250326],"study_design_scores_gemma":[0.003268943,0.0024703504,0.98606396,0.000013715568,0.0026319853,0.00012159815,0.00016076441,0.002143926,0.00006325215,0.000054595992,0.0029034803,0.000103440965],"about_ca_topic_score_codex":0.00032408914,"about_ca_topic_score_gemma":0.00004928525,"teacher_disagreement_score":0.0061196405,"about_ca_system_score_codex":0.000059091224,"about_ca_system_score_gemma":0.00012339785,"threshold_uncertainty_score":0.52727336},"labels":[],"label_agreement":null},{"id":"W3002605766","doi":"10.1007/s00330-019-06559-0","title":"Diagnostic accuracy of dual-energy computed tomography (DECT) to differentiate uric acid from non-uric acid calculi: systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Uric acid; Meta-analysis; Neuroradiology; Gold standard (test); Radiology; Internal medicine; Nuclear medicine","score_opus":0.044471484975993986,"score_gpt":0.3088307591921925,"score_spread":0.26435927421619854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002605766","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":[0.000037413352,0.9946782,0.00083575206,0.00043688336,0.00013440986,0.0029150003,0.000725277,0.00008327765,0.00015377405],"genre_scores_gemma":[0.0027473008,0.991806,0.00037373038,0.0024317573,0.00015255538,0.0003247724,0.0018254296,0.00015640428,0.00018206464],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99154735,0.0036767381,0.0025286395,0.0013736842,0.00034745623,0.0005261094],"domain_scores_gemma":[0.99422616,0.001548349,0.0017021736,0.0015712398,0.00015621369,0.00079589285],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00046222145,0.0011972137,0.01822204,0.0008655482,0.00008714104,0.000033306143,0.0005284714,0.0002215656,0.00022492452],"category_scores_gemma":[0.0017290688,0.000742114,0.0045368387,0.0023094583,0.00012807353,0.000045727855,0.00041840237,0.00044234056,0.00018861413],"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":[0.000024844263,0.00036341004,0.00006962491,0.48399174,0.50543195,0.0017971034,0.00014195674,0.000001186507,0.0000057068664,0.000034659046,0.0027045417,0.0054332493],"study_design_scores_gemma":[0.0005717466,0.00049034075,0.0008772284,0.019577645,0.92391247,0.000516105,0.000004121111,0.000007881875,0.0000029008477,0.0000031511727,0.053499054,0.00053734105],"about_ca_topic_score_codex":0.00007385759,"about_ca_topic_score_gemma":0.0000030384506,"teacher_disagreement_score":0.4644141,"about_ca_system_score_codex":0.000070349175,"about_ca_system_score_gemma":0.0001231969,"threshold_uncertainty_score":0.999503},"labels":[],"label_agreement":null},{"id":"W3003822365","doi":"10.1007/s00330-019-06586-x","title":"Can breast MRI accurately exclude malignancy in mammographic architectural distortion?","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Malignancy; Breast MRI; Neuroradiology; Radiology; Magnetic resonance imaging; Cohort; Breast imaging; Interventional radiology; Retrospective cohort study; Mammography; Breast cancer; Ultrasound; Biopsy; Internal medicine; Cancer; Neurology","score_opus":0.024846646685786285,"score_gpt":0.2492503554592,"score_spread":0.2244037087734137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003822365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547395,0.0004989184,0.00030628458,0.018745638,0.00018340639,0.00026465775,0.000053689655,0.00020403326,0.025003888],"genre_scores_gemma":[0.9963875,0.000030452744,0.00020771056,0.0027608953,0.00038140223,0.0000056992126,0.000089741654,0.000044224533,0.000092392715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983814,0.00024101451,0.00036604362,0.00044777707,0.0001222658,0.00044153957],"domain_scores_gemma":[0.99930066,0.000039684204,0.00008354225,0.00023379103,0.000029112305,0.00031319284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015798783,0.00022391036,0.0003670965,0.00026542542,0.000046556106,0.00002565028,0.00020295008,0.000037228547,0.00006624893],"category_scores_gemma":[0.000050608654,0.00019320336,0.00018672741,0.00064997026,0.00032798058,0.00008719011,0.00006559263,0.00035415633,0.000080118945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009824865,0.00022919134,0.8624033,0.00016046537,0.00018873773,0.006490978,0.0020665901,0.0001006812,0.0038141778,0.0013671453,0.0034193923,0.1187769],"study_design_scores_gemma":[0.0015421229,0.00037176782,0.98561573,0.00008706964,0.000038830574,0.008837724,0.0001238561,0.00007844042,0.000063118416,0.00014055254,0.0028466932,0.00025407062],"about_ca_topic_score_codex":0.00003745642,"about_ca_topic_score_gemma":0.00002179067,"teacher_disagreement_score":0.1232125,"about_ca_system_score_codex":0.000026868345,"about_ca_system_score_gemma":0.000036773905,"threshold_uncertainty_score":0.78786045},"labels":[],"label_agreement":null},{"id":"W3003828187","doi":"10.1007/s00330-019-06636-4","title":"Carotid near-occlusion is often overlooked when CT angiography is assessed in routine practice","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","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 Toronto; Sunnybrook Health Science Centre; University of Ottawa","funders":"Sveriges Läkarförbund; Umeå Universitet; Knut och Alice Wallenbergs Stiftelse","keywords":"Medicine; Occlusion; Neuroradiology; Radiology; Stenosis; Angiography; Computed tomography angiography; Clinical Practice; Interventional radiology; Internal carotid artery; Neurology; Surgery","score_opus":0.01442866285276214,"score_gpt":0.25020985475192786,"score_spread":0.23578119189916572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003828187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9054068,0.0019025815,0.00028966359,0.039145235,0.00026168572,0.0009423795,0.00006524509,0.00027737234,0.051709052],"genre_scores_gemma":[0.92410433,0.00019349305,0.000702448,0.074225746,0.00040341786,0.0000054080256,0.00010824629,0.000062145096,0.0001947817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976734,0.0007364253,0.0003942181,0.0005780583,0.00024166338,0.00037623988],"domain_scores_gemma":[0.99887943,0.00011897756,0.00012512547,0.000468129,0.000086441294,0.0003218738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037321428,0.0002484111,0.000491995,0.00012432164,0.00008180112,0.00003363713,0.0002012584,0.000043707198,0.0008495962],"category_scores_gemma":[0.00038597305,0.00022473907,0.00049633527,0.00037309132,0.00012694325,0.0001495022,0.0001502264,0.00031634842,0.00040913126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006851583,0.0006109419,0.7385609,0.00017749555,0.00088802853,0.002187015,0.009577165,0.000035701018,0.0049461005,0.00008938782,0.23991077,0.0023313155],"study_design_scores_gemma":[0.0060888203,0.0010261828,0.71788335,0.00008684769,0.0005729818,0.0013388962,0.0007455714,0.00042740715,0.0005574668,0.000017166178,0.2708238,0.00043150835],"about_ca_topic_score_codex":0.0001031429,"about_ca_topic_score_gemma":0.0000026847138,"teacher_disagreement_score":0.05151427,"about_ca_system_score_codex":0.000036944137,"about_ca_system_score_gemma":0.00008659355,"threshold_uncertainty_score":0.9302483},"labels":[],"label_agreement":null},{"id":"W3004920069","doi":"10.1007/s00330-019-06650-6","title":"Acquisition time, radiation dose, subjective and objective image quality of dual-source CT scanners in acute pulmonary embolism: a comparative study","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Vancouver General Hospital; Health Sciences Centre; University of British Columbia","funders":"","keywords":"Medicine; Image quality; Nuclear medicine; Neuroradiology; Radiation dose; Interventional radiology; Pulmonary embolism; Radiology; Image noise; Surgery","score_opus":0.013643906657047403,"score_gpt":0.2644929137814943,"score_spread":0.2508490071244469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004920069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887839,0.00038767795,0.003261571,0.000054433818,0.000060940223,0.00039383155,0.000030589028,0.00013290513,0.0068941377],"genre_scores_gemma":[0.9994201,0.000045787398,0.00027228022,0.00008206483,0.00008565602,0.000009428864,0.000032186046,0.000031666365,0.000020825953],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99821573,0.0008215726,0.00036056276,0.00030944002,0.00008030913,0.00021239016],"domain_scores_gemma":[0.99950784,0.00015125399,0.00010427729,0.00012583587,0.000037381553,0.000073389354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031578937,0.00018751324,0.00044355236,0.00010843761,0.00004754616,0.000010504047,0.00008480686,0.000020883317,0.000014131478],"category_scores_gemma":[0.000040935494,0.00020368297,0.000038616676,0.00028615855,0.00012607616,0.00024636468,0.000056435016,0.0002391456,0.00003054674],"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":[0.002357068,0.0006478873,0.09165359,0.00022819804,0.0013591927,0.0015973452,0.18602702,0.154656,0.5416751,0.00035453038,0.00069305376,0.018751007],"study_design_scores_gemma":[0.001815416,0.00036835475,0.963802,0.000018226758,0.000050279472,0.0000870861,0.007420327,0.02371514,0.0021965648,0.00007705034,0.00009664575,0.0003529558],"about_ca_topic_score_codex":0.000017270499,"about_ca_topic_score_gemma":0.0000029252321,"teacher_disagreement_score":0.87214833,"about_ca_system_score_codex":0.000061965664,"about_ca_system_score_gemma":0.000010109535,"threshold_uncertainty_score":0.830595},"labels":[],"label_agreement":null},{"id":"W3006374618","doi":"10.1007/s00330-020-06670-7","title":"Bone marrow edema in sacroiliitis: detection with dual-energy CT","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital","funders":"European Society of Musculoskeletal Radiology","keywords":"Medicine; Sacroiliitis; Radiology; Nuclear medicine; Neuroradiology; Sacrum; Cutoff; Receiver operating characteristic; Bone marrow; Sacroiliac joint; Magnetic resonance imaging; Pathology; Surgery; Internal medicine","score_opus":0.006420486663354676,"score_gpt":0.17681264790835402,"score_spread":0.17039216124499934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006374618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8513132,0.0022041812,0.117062755,0.00030393098,0.00037485023,0.00010067141,0.0000050276076,0.00081908726,0.027816312],"genre_scores_gemma":[0.9984112,0.00010114196,0.00063310005,0.00046316703,0.00025698132,0.0000047541503,0.000006410163,0.00005771222,0.00006552586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920976,0.00011801069,0.00017181651,0.00020316448,0.000043203177,0.0002540447],"domain_scores_gemma":[0.99974895,0.000025562527,0.00002362412,0.00011912827,0.000007986966,0.000074733056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000762556,0.00013712217,0.00017887837,0.000054954664,0.000032137534,0.000009037956,0.00007402843,0.000016468635,0.000029777855],"category_scores_gemma":[0.000022193286,0.00013354908,0.000023982539,0.00017673883,0.00004476875,0.000096543095,0.00002277278,0.00019090633,0.000077367244],"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":[0.00032485503,0.000054940625,0.0047272434,0.00017737538,0.0001582704,0.011549779,0.0017185594,0.47397664,0.31742358,0.0016232844,0.0027838782,0.18548158],"study_design_scores_gemma":[0.008762352,0.0019299595,0.062086854,0.00025541865,0.000097325654,0.010664616,0.0009364911,0.16913514,0.06648881,0.00063673616,0.6759025,0.0031037887],"about_ca_topic_score_codex":0.00000400305,"about_ca_topic_score_gemma":0.00002247586,"teacher_disagreement_score":0.67311865,"about_ca_system_score_codex":0.000029939238,"about_ca_system_score_gemma":0.000004197047,"threshold_uncertainty_score":0.5445973},"labels":[],"label_agreement":null},{"id":"W3006657444","doi":"10.1007/s00330-020-06660-9","title":"Increased carotid artery wall stiffness and plaque prevalence in HIV infected patients measured with ultrasound elastography","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Ultrasound; Carotid arteries; Common carotid artery; Arterial stiffness; Radiology; Internal carotid artery; Cardiology; Internal medicine; Artery; Blood pressure","score_opus":0.012555157178141386,"score_gpt":0.2264092397228938,"score_spread":0.21385408254475244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006657444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620694,0.00018606067,0.0000695568,0.00048705496,0.000020031,0.00065024645,0.000024613979,0.00008310934,0.0022723586],"genre_scores_gemma":[0.9985212,0.00012872575,0.00027099642,0.0008159219,0.00003505832,0.000023114371,0.0001469269,0.000031448908,0.00002661412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985523,0.00042113746,0.0002814136,0.00039301053,0.00010051133,0.00025160707],"domain_scores_gemma":[0.99922293,0.00013241514,0.00009271579,0.00019302966,0.00008572997,0.00027315662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010709773,0.00017360519,0.0002976479,0.0001303501,0.00006894353,0.00000765284,0.000075257085,0.00005402554,0.000036429035],"category_scores_gemma":[0.0001274212,0.00013809881,0.000027137274,0.00031222848,0.00012377462,0.00004507071,0.000020535539,0.00026322418,0.000070009584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004475709,0.00020675763,0.9965144,0.00010456175,0.000074240685,0.00006781802,0.00082687044,0.000010588751,0.0010973501,0.000017813098,0.00033337605,0.00029865405],"study_design_scores_gemma":[0.0053238007,0.00072141463,0.99274635,0.00013121612,0.0000756934,0.00016835777,0.00001596638,0.000044936653,0.000017030163,0.0000030993144,0.0006336794,0.000118471326],"about_ca_topic_score_codex":0.000025923266,"about_ca_topic_score_gemma":0.000011414409,"teacher_disagreement_score":0.00487623,"about_ca_system_score_codex":0.000038666152,"about_ca_system_score_gemma":0.00005113847,"threshold_uncertainty_score":0.5631506},"labels":[],"label_agreement":null},{"id":"W3008835203","doi":"10.1007/s00330-019-06616-8","title":"Impact of slice thickness on clinical utility of automated Alberta Stroke Program Early Computed Tomography Scores","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Else Kröner-Fresenius-Stiftung","keywords":"Medicine; Neuroradiology; Interventional radiology; Stroke (engine); Infarction; Computed tomography; Acute stroke; Nuclear medicine; Internal medicine; Radiology; Neurology; Myocardial infarction","score_opus":0.04219136311398142,"score_gpt":0.3455482548376263,"score_spread":0.3033568917236449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008835203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97179556,0.00006757971,0.00017786433,0.00047703294,0.00014541784,0.0007335647,0.000040064348,0.00034308483,0.026219802],"genre_scores_gemma":[0.99710846,0.00001271247,0.0019153912,0.000586472,0.00019375136,0.000004317817,0.00006912605,0.00003894718,0.00007083113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973584,0.0007614258,0.0008690444,0.0004881526,0.00021058723,0.00031239263],"domain_scores_gemma":[0.99824476,0.00041112976,0.00039247714,0.0005674397,0.0001404404,0.00024375414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055654434,0.00023703858,0.00084358867,0.00012941522,0.00002209992,0.0000054357793,0.0003574336,0.0001059336,0.0001067432],"category_scores_gemma":[0.00057294924,0.0001834065,0.00046338767,0.00037174497,0.00049476395,0.000028188004,0.00019667459,0.00041658076,0.000048710506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021343315,0.0008563244,0.91644925,0.0001559749,0.0014532435,0.00012540144,0.00049695343,0.000028315973,0.0037896596,0.00004868231,0.06440714,0.010054712],"study_design_scores_gemma":[0.0024049452,0.00839411,0.980897,0.00006513831,0.00018093809,0.000031631662,0.000022093074,0.0050975266,0.00029026635,6.600907e-7,0.0024922073,0.0001234602],"about_ca_topic_score_codex":0.00012226452,"about_ca_topic_score_gemma":0.0000017160121,"teacher_disagreement_score":0.06444776,"about_ca_system_score_codex":0.000014438074,"about_ca_system_score_gemma":0.00005639465,"threshold_uncertainty_score":0.74791},"labels":[],"label_agreement":null},{"id":"W3010047384","doi":"10.1007/s00330-020-06739-3","title":"Feasibility of shear wave sonoelastography to detect endoleak and evaluate thrombus organization after endovascular repair of abdominal aortic aneurysm","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Quebec Population Health Research Network; Université de Montréal; Université du Québec; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Thrombus; Radiology; Abdominal aortic aneurysm; Computed tomography angiography; Endovascular aneurysm repair; Ultrasound; Aneurysm; Neuroradiology; Angiography; Aortic aneurysm; Interventional radiology; Surgery","score_opus":0.025071423327490332,"score_gpt":0.25886128417332804,"score_spread":0.23378986084583772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010047384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622977,0.0004445534,0.0018313886,0.00020523125,0.000058684913,0.0007626195,0.000011428277,0.0001113501,0.00034498805],"genre_scores_gemma":[0.9924594,0.000048229205,0.0068372185,0.0004917567,0.00007164862,0.0000050810686,0.000012603817,0.000055006138,0.000019017407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977235,0.0006523708,0.00060133735,0.00055748364,0.00021238587,0.0002529037],"domain_scores_gemma":[0.9988227,0.000083286046,0.00017440703,0.00048508687,0.00017722561,0.00025731302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042737872,0.00021833935,0.0006252055,0.00011479666,0.000030862626,0.0000029827902,0.00008064519,0.000059129154,0.00016573838],"category_scores_gemma":[0.0008728788,0.00018790064,0.0001894361,0.00039687438,0.00027096615,0.00004128069,0.00012254609,0.00014606025,0.000036174348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018485828,0.00020814002,0.90771073,0.00042939582,0.00056048954,0.0015652673,0.0025722026,0.000044792898,0.081256405,0.000011255038,0.00027109755,0.0035216156],"study_design_scores_gemma":[0.0022537834,0.0028907182,0.98696584,0.00003952782,0.0005804962,0.0012207396,0.00008214899,0.0003730147,0.0053756633,0.0000131640445,0.00006664586,0.00013824162],"about_ca_topic_score_codex":0.000010063651,"about_ca_topic_score_gemma":8.891257e-7,"teacher_disagreement_score":0.079255104,"about_ca_system_score_codex":0.00003393091,"about_ca_system_score_gemma":0.00005345992,"threshold_uncertainty_score":0.76623654},"labels":[],"label_agreement":null},{"id":"W3010362012","doi":"10.1007/s00330-020-06728-6","title":"Risk stratification in primary sclerosing cholangitis: comparison of biliary stricture severity on MRCP versus liver stiffness by MR elastography and vibration-controlled transient elastography","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; St. Michael's Hospital","funders":"Physicians' Services Incorporated Foundation","keywords":"Medicine; Transient elastography; Primary sclerosing cholangitis; Internal medicine; Gastroenterology; Elastography; Magnetic resonance imaging; Magnetic resonance cholangiopancreatography; Radiology; Liver biopsy; Biopsy; Ultrasound; Endoscopic retrograde cholangiopancreatography; Pancreatitis; Disease","score_opus":0.020196590722995893,"score_gpt":0.24100326169076133,"score_spread":0.22080667096776543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010362012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949123,0.002495924,0.0006380665,0.0002106914,0.00012107653,0.0006065108,0.00012710708,0.000046925503,0.0008413651],"genre_scores_gemma":[0.9984623,0.0006107632,0.00020200251,0.00034633325,0.0000756039,0.000006902573,0.00027132776,0.000022473869,0.0000022501638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980538,0.000801142,0.0004516267,0.00035477296,0.000152576,0.00018609026],"domain_scores_gemma":[0.9991198,0.00022102694,0.00021977142,0.00022531327,0.000055500306,0.00015859285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021297004,0.00019431072,0.0005474371,0.00017062169,0.00009061695,0.000017125445,0.00010902871,0.00007777902,0.000029424351],"category_scores_gemma":[0.00009317399,0.00017040799,0.00014496139,0.0003594577,0.00018313553,0.000103296254,0.000025690746,0.00042917783,0.000004659563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04706448,0.0027447145,0.76713294,0.00057926326,0.0010908752,0.000066304776,0.010069949,0.0009350364,0.11571932,0.00011267865,0.0058776042,0.04860684],"study_design_scores_gemma":[0.011260639,0.0013707886,0.98477376,0.000056752782,0.00023019193,0.0000029426444,0.0004466902,0.001234218,0.00024107704,0.000002681519,0.00023486045,0.00014539878],"about_ca_topic_score_codex":0.00003437912,"about_ca_topic_score_gemma":0.0000046972486,"teacher_disagreement_score":0.21764082,"about_ca_system_score_codex":0.000026466103,"about_ca_system_score_gemma":0.000036655958,"threshold_uncertainty_score":0.6949037},"labels":[],"label_agreement":null},{"id":"W3012537654","doi":"10.1007/s00330-020-06752-6","title":"Retrograde blood flow in the internal jugular veins of humans with hypertension may have implications for cerebral arterial blood flow","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"British Heart Foundation","keywords":"Medicine; Neuroradiology; Blood flow; Cerebral blood flow; Interventional radiology; Internal jugular vein; Cardiology; Hemodynamics; Neurology; Internal medicine; Radiology","score_opus":0.034358610202449895,"score_gpt":0.25260216683473086,"score_spread":0.21824355663228096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012537654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98751086,0.00010401299,0.0008494302,0.008945806,0.00011596843,0.0007909309,0.00008957914,0.000059448783,0.0015339822],"genre_scores_gemma":[0.9894836,0.000017088825,0.007341872,0.0020284257,0.0008368033,0.00002315666,0.00016593692,0.00006623422,0.000036870486],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99830365,0.0003420002,0.0004403109,0.00043875902,0.00011937975,0.0003559069],"domain_scores_gemma":[0.9990502,0.00011235045,0.00014507788,0.0004898447,0.000084559884,0.00011796482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027850378,0.00021538779,0.00053759076,0.00009068911,0.000087113855,0.000014693206,0.0003414128,0.00007385971,0.00005076254],"category_scores_gemma":[0.00015953902,0.00014723917,0.00015534158,0.00016781788,0.00024088622,0.000039865612,0.00006559902,0.00030816795,0.000015237757],"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":[0.004271307,0.00605105,0.2907543,0.0004998111,0.0023308767,0.0012369021,0.02143151,0.00040047907,0.64390904,0.0031945915,0.01932745,0.0065926705],"study_design_scores_gemma":[0.017155953,0.0171385,0.94726205,0.00018217339,0.0017894573,0.0039486215,0.00079296733,0.0016034035,0.0045872675,0.00013548305,0.0049389186,0.00046521865],"about_ca_topic_score_codex":0.00002987515,"about_ca_topic_score_gemma":0.00004757425,"teacher_disagreement_score":0.65650773,"about_ca_system_score_codex":0.000020869977,"about_ca_system_score_gemma":0.00005847804,"threshold_uncertainty_score":0.60042393},"labels":[],"label_agreement":null},{"id":"W3013208977","doi":"10.1007/s00330-020-06804-x","title":"Diagnostic accuracy of the Ottawa Knee Rule in adult acute knee injuries: a systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Meta-analysis; Neuroradiology; Interventional radiology; Systematic review; Knee Joint; MEDLINE; Physical therapy; Radiology; Surgery; Pathology; Neurology","score_opus":0.028061164349561102,"score_gpt":0.3208677459143558,"score_spread":0.29280658156479467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013208977","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":[0.000007650864,0.99404746,0.000021698359,0.0007353641,0.000088779845,0.0037783666,0.00017956336,0.00006636965,0.0010747195],"genre_scores_gemma":[0.00005367801,0.9973396,0.00030688482,0.0012499077,0.00006328957,0.0003212697,0.000050787956,0.00006618694,0.00054837874],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9934992,0.0029470562,0.0025740615,0.00055991096,0.0001705755,0.00024919808],"domain_scores_gemma":[0.9952447,0.0015375445,0.0019152991,0.0010570354,0.00012618162,0.000119261356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010562962,0.0005347541,0.012125641,0.00041491655,0.000050455852,0.000014319259,0.00039204542,0.00018495324,0.00020647567],"category_scores_gemma":[0.004739602,0.00026699778,0.0030452306,0.0011672872,0.00037413382,0.000041262138,0.0002445045,0.0007143586,0.0000412075],"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":[0.00000480855,0.000031064053,0.000034795652,0.8643834,0.1245102,0.00014567855,0.00008680819,6.996901e-8,1.9754883e-7,0.00026907833,0.0021750955,0.008358788],"study_design_scores_gemma":[0.00013129618,0.00017147689,0.000034207704,0.03803804,0.8357151,0.0012893777,0.00001566488,5.178294e-7,6.861098e-7,0.000017275048,0.12434661,0.00023973163],"about_ca_topic_score_codex":0.000014103868,"about_ca_topic_score_gemma":0.000004143666,"teacher_disagreement_score":0.8263454,"about_ca_system_score_codex":0.00005552082,"about_ca_system_score_gemma":0.00013760346,"threshold_uncertainty_score":0.99997824},"labels":[],"label_agreement":null},{"id":"W3013278003","doi":"10.1007/s00330-020-06725-9","title":"Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Effective diffusion coefficient; Receiver operating characteristic; Neuroradiology; Nuclear medicine; Area under the curve; Prostatectomy; Pathological; Ultrasound; Interventional radiology; Radiology; Prostate; Magnetic resonance imaging; Pathology; Internal medicine; Neurology; Cancer","score_opus":0.041633256329371315,"score_gpt":0.3017745276483644,"score_spread":0.26014127131899306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013278003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946291,0.00033921955,0.00023967178,0.0035959485,0.000088580244,0.0008738284,0.000020522522,0.0000335056,0.00017960962],"genre_scores_gemma":[0.99712026,0.00022595705,0.0007982923,0.001687119,0.00003073878,0.000046547437,0.000063198095,0.000015483089,0.00001242907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984369,0.0005504363,0.0003566535,0.00036819535,0.00011067082,0.00017711343],"domain_scores_gemma":[0.9991433,0.00039350943,0.00009478568,0.00015698803,0.00003296769,0.00017843107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037340942,0.00017317664,0.0005274092,0.000048574406,0.00004315095,0.000005701222,0.000056710825,0.00003817765,0.000010364358],"category_scores_gemma":[0.00029329886,0.00012283647,0.000045968383,0.00014234317,0.000088823304,0.000027589991,0.00011665105,0.00012426217,0.0000038661187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000267196,0.00020614317,0.98924714,0.00009680009,0.00003414359,0.00015679756,0.0009640037,0.0007390399,0.0057367394,0.00024212046,0.00015957082,0.002150297],"study_design_scores_gemma":[0.0035552166,0.003038965,0.9908979,0.00006475148,0.00007881163,0.000016455157,0.000097302705,0.0014503855,0.00023960783,0.000005578465,0.00045790584,0.00009713153],"about_ca_topic_score_codex":0.000034107743,"about_ca_topic_score_gemma":0.0000039199685,"teacher_disagreement_score":0.0054971315,"about_ca_system_score_codex":0.00008775314,"about_ca_system_score_gemma":0.000025045796,"threshold_uncertainty_score":0.50091255},"labels":[],"label_agreement":null},{"id":"W3015110330","doi":"10.1007/s00330-020-06781-1","title":"CT texture analysis of acetabular subchondral bone can discriminate between normal and cam-positive hips","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Asymptomatic; Kurtosis; Percentile; Skewness; Sagittal plane; Nuclear medicine; Radiology; Orthodontics; Internal medicine; Mathematics; Statistics","score_opus":0.01767229591535276,"score_gpt":0.24670312579761378,"score_spread":0.229030829882261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015110330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922856,0.0009337492,0.00010450559,0.0026526956,0.000025108364,0.00015533686,0.00014230427,0.000024970237,0.0036757337],"genre_scores_gemma":[0.99841964,0.00007784122,0.0001251446,0.0006278859,0.00009316913,0.0000013870483,0.00042756743,0.000023633922,0.000203758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888986,0.00026188325,0.00024103383,0.00030183286,0.000084373976,0.0002209975],"domain_scores_gemma":[0.9994519,0.00004431168,0.00009469843,0.0001692659,0.00003248161,0.00020737281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093523784,0.00016046166,0.0006371895,0.0001277229,0.00005065087,0.0000050484405,0.000067962435,0.00003052103,0.000060900344],"category_scores_gemma":[0.000048994483,0.00012585492,0.00013635568,0.0003120468,0.0001661488,0.000027108339,0.000060290375,0.00017119094,0.000016120439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016556312,0.0000651322,0.9855066,0.000037592315,0.002240213,0.0013379438,0.0037163957,0.0000142390545,0.0025797489,0.00009397678,0.00070792896,0.0035346798],"study_design_scores_gemma":[0.0017410828,0.00075991504,0.9910931,0.000012025891,0.0042840694,0.000094951756,0.00029374784,0.00008909706,0.0004692466,0.000005207269,0.0010274185,0.00013015536],"about_ca_topic_score_codex":0.00007134885,"about_ca_topic_score_gemma":0.00003156133,"teacher_disagreement_score":0.006134017,"about_ca_system_score_codex":0.000016017602,"about_ca_system_score_gemma":0.000019535402,"threshold_uncertainty_score":0.51322144},"labels":[],"label_agreement":null},{"id":"W3016948712","doi":"10.1007/s00330-020-06757-1","title":"Quantification of liver fat content in liver and primary liver lesions using triple-echo-gradient-echo MRI","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Focal nodular hyperplasia; Medicine; Hepatocellular carcinoma; Lesion; Neuroradiology; HCCS; Magnetic resonance imaging; Radiology; Fatty liver; Parenchyma; Nuclear medicine; Pathology; Internal medicine; Neurology","score_opus":0.2157311340098996,"score_gpt":0.2631377999618623,"score_spread":0.04740666595196272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016948712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886248,0.0076763364,0.0007168302,0.0004255566,0.000078453624,0.000605821,0.000014005213,0.000039784838,0.0018184263],"genre_scores_gemma":[0.99513155,0.002136234,0.0017177237,0.000598923,0.00012487388,0.0000051678203,0.0000906191,0.00003119387,0.00016369698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984251,0.00050650415,0.0003727346,0.0003802574,0.00009649789,0.00021890944],"domain_scores_gemma":[0.99934727,0.00009775537,0.00012734687,0.0002067724,0.000057628207,0.00016322327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002503403,0.00016893743,0.00041459827,0.00013498575,0.00004932195,0.000007407584,0.000087676926,0.000074680596,0.0000868388],"category_scores_gemma":[0.00009634389,0.00014585805,0.00009891263,0.00016702883,0.00016182521,0.00005349543,0.000070834445,0.00018673527,0.00006327008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007693833,0.00034074462,0.80334073,0.00031558846,0.00017431017,0.002654484,0.0051493617,0.0000070249007,0.16595198,0.00033746212,0.0015362771,0.019422654],"study_design_scores_gemma":[0.004144966,0.001174642,0.9631182,0.00016243185,0.00037542623,0.0003621532,0.00025451914,0.018128589,0.006137026,0.000004509358,0.005859704,0.00027783474],"about_ca_topic_score_codex":0.00014536336,"about_ca_topic_score_gemma":0.000007888817,"teacher_disagreement_score":0.15981495,"about_ca_system_score_codex":0.00006193685,"about_ca_system_score_gemma":0.000028627659,"threshold_uncertainty_score":0.5947919},"labels":[],"label_agreement":null},{"id":"W3022550028","doi":"10.1007/s00330-020-06787-9","title":"Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Ottawa; University of Toronto; Carleton University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Neuroradiology; Artificial intelligence; Computer science; Renal cell carcinoma; Chromophobe cell; Radiology; Medicine; Diagnostic accuracy; Pattern recognition (psychology); Clear cell; Pathology; Neurology","score_opus":0.03599198240268956,"score_gpt":0.27399022895727565,"score_spread":0.2379982465545861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022550028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97747123,0.0003373356,0.019823782,0.00036317718,0.00013460909,0.00042051316,0.000021723932,0.00024793827,0.0011797028],"genre_scores_gemma":[0.9848766,0.000015618907,0.014074324,0.00047204935,0.00034668652,0.0000031935028,0.0001647623,0.000038399165,0.000008368439],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99817985,0.0004468232,0.0004354527,0.00042662807,0.00023242524,0.0002788142],"domain_scores_gemma":[0.9989249,0.00021601135,0.00027530344,0.00023331228,0.00017622054,0.00017426575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017050774,0.00022341713,0.00047351044,0.00011222642,0.00008976143,0.00000817929,0.000111395326,0.000058008536,0.00003915821],"category_scores_gemma":[0.000057999187,0.00016471822,0.00010641032,0.00036237383,0.00022661382,0.00004375714,0.000042711446,0.00019269026,0.00002041894],"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":[0.0069740294,0.00022411722,0.028749662,0.00005618721,0.00029787899,0.00055903866,0.00015321352,0.033720303,0.92134565,0.00021288522,0.004828009,0.002879026],"study_design_scores_gemma":[0.003682186,0.0035338637,0.8664514,0.00019553197,0.00016274709,0.00035490707,0.00002327326,0.108497925,0.016721742,0.000013427117,0.00019119926,0.00017180806],"about_ca_topic_score_codex":0.00000289826,"about_ca_topic_score_gemma":5.825613e-7,"teacher_disagreement_score":0.9046239,"about_ca_system_score_codex":0.000059755595,"about_ca_system_score_gemma":0.0000717944,"threshold_uncertainty_score":0.67170143},"labels":[],"label_agreement":null},{"id":"W3023436581","doi":"10.1007/s00330-020-06901-x","title":"Assessing breast cancer risk within the general screening population: developing a breast cancer risk model to identify higher risk women at mammographic screening","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Medicine; Breast cancer; Family history; Breast cancer screening; Population; Mammography; Obstetrics; Breast imaging; Gynecology; Risk assessment; Breast biopsy; Receiver operating characteristic; Internal medicine; Oncology; Cancer; Environmental health","score_opus":0.089719234047424,"score_gpt":0.3574895646210147,"score_spread":0.26777033057359073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023436581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9539762,0.0013642682,0.03466397,0.007917722,0.00046505893,0.00050952396,0.00045428707,0.00026835786,0.00038058395],"genre_scores_gemma":[0.9717043,0.0005580786,0.016085861,0.0086167,0.0025218746,0.00008177806,0.00005286795,0.00014775268,0.00023078051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948923,0.0013842409,0.0009082597,0.0011497252,0.00060811325,0.001057333],"domain_scores_gemma":[0.9975263,0.00011971746,0.00084620307,0.0005768737,0.00026069875,0.0006701971],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00176452,0.0005600559,0.00079820567,0.00020883122,0.0012246191,0.00020928854,0.0005972096,0.00015421941,0.00031571047],"category_scores_gemma":[0.000171529,0.00043470098,0.00024849075,0.0010607378,0.00020466438,0.0004577244,0.00051452866,0.0012059847,0.0000526202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008868245,0.00000983565,0.832064,0.00003128238,0.0004407646,0.00014363101,0.0020295607,0.13686182,0.0006281214,0.000067811816,0.002481946,0.024354454],"study_design_scores_gemma":[0.0014063696,0.00009082394,0.9558066,0.00033530875,0.00039938846,0.00054097455,0.0004309465,0.03943486,0.000017185896,0.000055823584,0.000949027,0.00053267094],"about_ca_topic_score_codex":0.006577114,"about_ca_topic_score_gemma":0.0005518704,"teacher_disagreement_score":0.12374267,"about_ca_system_score_codex":0.0005515046,"about_ca_system_score_gemma":0.00019050973,"threshold_uncertainty_score":0.99981046},"labels":[],"label_agreement":null},{"id":"W3024702749","doi":"10.1007/s00330-020-06807-8","title":"Imaging assessment of children presenting with suspected or known juvenile idiopathic arthritis: ESSR-ESPR points to consider","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Autoimmune and Inflammatory Disorders Research","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":"University of Alberta","funders":"Medical Research Council; Amsterdam University Medical Centers","keywords":"Medicine; Arthritis; Neuroradiology; Interventional radiology; Inflammatory arthritis; Radiology; Physical therapy; Internal medicine","score_opus":0.03299639641647265,"score_gpt":0.34336938396499894,"score_spread":0.31037298754852627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024702749","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":[0.00048532424,0.986128,0.00018112872,0.0005397079,0.000116401585,0.0020546748,0.000036265687,0.00014907164,0.010309475],"genre_scores_gemma":[0.00448009,0.99268705,0.0008923245,0.00026636603,0.0004162526,0.00006497458,0.00021748469,0.00023823543,0.0007372185],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946738,0.001932899,0.0015125694,0.0008406572,0.00037695476,0.00066310196],"domain_scores_gemma":[0.9978688,0.00018762026,0.0006697055,0.0007849132,0.00020619389,0.00028276333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011149346,0.0005471062,0.003604974,0.00040573036,0.00011604941,0.000035398083,0.00045145024,0.0001223879,0.0005113073],"category_scores_gemma":[0.00077691395,0.00038443596,0.00032984433,0.00059902354,0.00028309744,0.00007094362,0.00044696644,0.0012340172,0.00029381053],"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":[0.0002466173,0.00028462542,0.0061330637,0.012168523,0.001888856,0.010679257,0.00046664846,0.000003471019,0.000042862663,0.0003141712,0.012578002,0.9551939],"study_design_scores_gemma":[0.0020766817,0.0008987277,0.006306754,0.014665884,0.0005581461,0.006089961,0.00006984863,0.000024887042,0.000005057588,0.0000035489263,0.9687823,0.0005182223],"about_ca_topic_score_codex":0.000012137494,"about_ca_topic_score_gemma":0.0000060547704,"teacher_disagreement_score":0.9562043,"about_ca_system_score_codex":0.00013679116,"about_ca_system_score_gemma":0.0017267991,"threshold_uncertainty_score":0.99986076},"labels":[],"label_agreement":null},{"id":"W3025434178","doi":"10.1007/s00330-020-06822-9","title":"The Lisbon Agreement on Femoroacetabular Impingement Imaging—part 1: overview","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Femoroacetabular impingement; Medicine; Medical physics; Neuroradiology; Protocol (science); Delphi method; Gold standard (test); Sports medicine; Radiography; Evidence-based medicine; Radiology; Physical therapy; Alternative medicine; Artificial intelligence; Pathology; Computer science","score_opus":0.07220137605181334,"score_gpt":0.3415324031102236,"score_spread":0.2693310270584103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025434178","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":[0.00000261747,0.93679225,0.0000060855655,0.0016316291,0.00077012955,0.001427443,0.000023149578,0.00007518322,0.0592715],"genre_scores_gemma":[0.000009611556,0.9929806,0.000036390567,0.0018156689,0.0007799397,0.00007223092,0.00029805463,0.00012675393,0.00388075],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966959,0.0010949911,0.0007260948,0.0007253898,0.00024421373,0.0005134282],"domain_scores_gemma":[0.99832594,0.00014137877,0.00035959337,0.0009193251,0.00003196138,0.00022178056],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051187555,0.0005960411,0.0016997253,0.000085721294,0.00021623062,0.000039194314,0.00038098666,0.00007292699,0.0002466969],"category_scores_gemma":[0.000099191544,0.0003362512,0.000668274,0.00017981182,0.00013192576,0.000015448148,0.0001955411,0.00054001267,0.0044759098],"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":[0.00002338231,0.00011234794,0.000025412255,0.001586407,0.0007218757,0.0014345204,0.00004439896,1.4204358e-7,8.447187e-8,0.00040224064,0.058093335,0.93755585],"study_design_scores_gemma":[0.00080547173,0.00053422217,0.00008140045,0.003579472,0.0015743239,0.00040712944,0.000013092253,0.0000025999184,1.1198347e-7,0.000009096803,0.9927396,0.00025347807],"about_ca_topic_score_codex":0.000003783986,"about_ca_topic_score_gemma":0.0000013638202,"teacher_disagreement_score":0.93730235,"about_ca_system_score_codex":0.0002143955,"about_ca_system_score_gemma":0.00013662179,"threshold_uncertainty_score":0.9999089},"labels":[],"label_agreement":null},{"id":"W3033759164","doi":"10.1007/s00330-020-06974-8","title":"CT fluoroscopy-guided transforaminal and intra-articular facet steroid injections for the treatment of cervical radiculopathy: injectate distribution patterns and association with clinical outcome","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Mount Royal University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Cervical radiculopathy; Facet joint; Epidural space; Fluoroscopy; Interventional radiology; Facet (psychology); Surgery; Radiology; Cervical spine; Lumbar","score_opus":0.04699996605719153,"score_gpt":0.3217560771451766,"score_spread":0.2747561110879851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033759164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773386,0.00028371188,0.0151003115,0.006257652,0.00009345767,0.0006587077,0.00019116845,0.000035524845,0.000040867486],"genre_scores_gemma":[0.9982073,0.00051729934,0.00020772892,0.0005639198,0.00023858272,0.000020718482,0.00019665911,0.000018410658,0.00002938783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985666,0.00036986687,0.00047574213,0.00029077212,0.00009995387,0.0001970117],"domain_scores_gemma":[0.99922323,0.00029204407,0.0001330573,0.00012288686,0.00006075117,0.00016801065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041222686,0.0001513101,0.0004492192,0.00001755164,0.00009172832,0.00001383644,0.000045877947,0.000047210124,0.000016286876],"category_scores_gemma":[0.0001507545,0.000088007546,0.000093855044,0.00008592683,0.00013000495,0.000030188265,0.000014658289,0.00015073037,0.0000036844383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010334317,0.00026387814,0.89882994,0.00014471347,0.0003681653,0.0000898,0.0016350315,0.000010405386,0.000825368,0.00013335657,0.00010513579,0.0965608],"study_design_scores_gemma":[0.004392221,0.0072483327,0.9759592,0.000018309936,0.0006407599,0.00032858326,0.00023903314,0.0016078005,0.00055928895,0.000015484575,0.008870411,0.00012060704],"about_ca_topic_score_codex":0.000021797327,"about_ca_topic_score_gemma":0.0000136922945,"teacher_disagreement_score":0.09644019,"about_ca_system_score_codex":0.000051692223,"about_ca_system_score_gemma":0.000020162997,"threshold_uncertainty_score":0.35888436},"labels":[],"label_agreement":null},{"id":"W3034414590","doi":"10.1007/s00330-021-07937-3","title":"Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort","year":2021,"lang":"en","type":"preprint","venue":"European Radiology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Discriminative model; Coronavirus disease 2019 (COVID-19); Logistic regression; Medicine; Artificial intelligence; Random forest; Machine learning; Pattern recognition (psychology); Computer science; Internal medicine","score_opus":0.04221498680838854,"score_gpt":0.33595488373204785,"score_spread":0.2937398969236593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034414590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779428,0.0021127658,0.008137892,0.0075063785,0.0010875431,0.001480496,0.000033758126,0.0006330068,0.0010653589],"genre_scores_gemma":[0.95810175,0.00035174718,0.008400899,0.031747703,0.00049088354,0.000033871587,0.00047964486,0.0002249589,0.00016855236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931019,0.0031336353,0.0010435614,0.0014657564,0.00034007296,0.0009150791],"domain_scores_gemma":[0.9967555,0.0010121445,0.00043548556,0.0010660359,0.00013314781,0.0005976793],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0026234586,0.0006272909,0.0014800144,0.00059839594,0.00015159999,0.00008667229,0.0004310634,0.0004292663,0.0005518799],"category_scores_gemma":[0.01042499,0.00064782705,0.00031388868,0.00031902338,0.000212103,0.000049171354,0.0015999803,0.0028370698,0.00012905277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038647713,0.0011132883,0.9180836,0.0038808514,0.00072286575,0.031417474,0.0049315286,0.030314263,0.0065648695,0.000035846086,0.0011754766,0.001373435],"study_design_scores_gemma":[0.008959052,0.0003876738,0.60764277,0.00257705,0.0008205821,0.001997076,0.00018884665,0.2968796,0.00018948692,0.000026325415,0.07906832,0.0012632589],"about_ca_topic_score_codex":0.00045747258,"about_ca_topic_score_gemma":0.00021222637,"teacher_disagreement_score":0.31044087,"about_ca_system_score_codex":0.0013592265,"about_ca_system_score_gemma":0.0011456937,"threshold_uncertainty_score":0.9995973},"labels":[],"label_agreement":null},{"id":"W3037389001","doi":"10.1007/s00330-020-07030-1","title":"Using decision curve analysis to benchmark performance of a magnetic resonance imaging–based deep learning model for prostate cancer risk assessment","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto; University Health Network","funders":"Ontario Institute for Cancer Research; Deutsche Forschungsgemeinschaft","keywords":"Medicine; Prostate cancer; Biopsy; Calibration; Cohort; Prostate; Magnetic resonance imaging; Cancer; Prostate biopsy; Receiver operating characteristic; Radiology; Internal medicine; Statistics; Mathematics","score_opus":0.0271658459594484,"score_gpt":0.31426975385082423,"score_spread":0.28710390789137585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037389001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91337264,0.0071987617,0.07756018,0.00065343635,0.00005927685,0.0008020941,0.00013265501,0.000034402732,0.00018654318],"genre_scores_gemma":[0.950104,0.0010817542,0.047602836,0.0009088998,0.00007284154,0.00008868116,0.00006808409,0.00003997923,0.000032920656],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842423,0.00018673926,0.00041187977,0.0005050856,0.0001537394,0.0003183498],"domain_scores_gemma":[0.9990308,0.00013983207,0.0002094358,0.00023465454,0.00018891253,0.00019634837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036952738,0.00019439137,0.00052113144,0.00015663684,0.000106794956,0.000012125484,0.000111157766,0.000023121154,0.000054147138],"category_scores_gemma":[0.00014200581,0.00016535426,0.00017214874,0.0004714049,0.0000618757,0.000047846497,0.000058420006,0.00016955376,0.000003845268],"study_design_candidate":"simulation_or_modeling","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":[0.00067248027,0.000052217758,0.5748123,0.000045592275,0.000106915686,0.00002090773,0.0005135103,0.33541963,0.0007741676,0.0000038574944,0.00013240405,0.08744604],"study_design_scores_gemma":[0.0015785749,0.0010793231,0.29309526,0.0000728382,0.000719915,0.0000026436137,0.00001962957,0.701831,0.00018901697,0.0000041135313,0.0012961235,0.00011158576],"about_ca_topic_score_codex":0.000041980908,"about_ca_topic_score_gemma":0.000012522974,"teacher_disagreement_score":0.36641136,"about_ca_system_score_codex":0.00017811527,"about_ca_system_score_gemma":0.00013083346,"threshold_uncertainty_score":0.67429507},"labels":[],"label_agreement":null},{"id":"W3038848383","doi":"10.1007/s00330-020-06979-3","title":"Quality of same-day CT colonography following incomplete optical colonoscopy","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Colonoscopy; Virtual colonoscopy; Radiology; Bowel preparation; Interventional radiology; Neuroradiology; Retrospective cohort study; Surgery; Colorectal cancer; Internal medicine; Cancer","score_opus":0.05274513559301132,"score_gpt":0.31327338540120214,"score_spread":0.26052824980819084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038848383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97106427,0.00026269458,0.0028258138,0.0015296302,0.0003254485,0.00019219241,0.0000067778105,0.00014374507,0.023649408],"genre_scores_gemma":[0.9950146,0.000009945439,0.0027304068,0.0018517566,0.0003115173,0.0000042384963,0.00001555195,0.000023640283,0.000038322953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823916,0.00072256685,0.00039501124,0.00030300446,0.00012928099,0.000210973],"domain_scores_gemma":[0.999206,0.00025900925,0.000117645955,0.00019298436,0.000036245292,0.00018813711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077012496,0.00012635818,0.00048946723,0.0000722287,0.00006268339,0.0000056427143,0.000112760325,0.000033565884,0.000040970637],"category_scores_gemma":[0.0006694482,0.00011804988,0.00024903123,0.00021969025,0.00014571038,0.000028268189,0.00006925898,0.00030555288,0.00005081087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.046008203,0.00048345551,0.48095062,0.0005690953,0.0017514378,0.0020883856,0.0050923503,0.00018370347,0.3786277,0.0044897236,0.024092581,0.05566276],"study_design_scores_gemma":[0.005362026,0.024020484,0.9014137,0.00007803437,0.00020237468,0.00029124852,0.00028520645,0.0006688826,0.009191073,0.000080046935,0.057980467,0.0004265061],"about_ca_topic_score_codex":0.00003364285,"about_ca_topic_score_gemma":0.00000554331,"teacher_disagreement_score":0.42046303,"about_ca_system_score_codex":0.00002876503,"about_ca_system_score_gemma":0.000038733044,"threshold_uncertainty_score":0.48139343},"labels":[],"label_agreement":null},{"id":"W3042766668","doi":"10.1007/s00330-020-07009-y","title":"Correction to: The Lisbon Agreement on Femoroacetabular Impingement Imaging—part 1: overview","year":2020,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Mistake; Neuroradiology; Medicine; Femoroacetabular impingement; Interventional radiology; Medical physics; Radiology; General surgery; Neurology; Law; Political science","score_opus":0.03043621581471722,"score_gpt":0.28082538858798817,"score_spread":0.25038917277327094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042766668","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002766281,0.023857318,0.00012617403,0.036482282,0.120429836,0.0023123194,0.000047323123,0.00021586774,0.81625223],"genre_scores_gemma":[0.007111274,0.012726176,0.00010244085,0.06109849,0.014040892,0.00013733946,0.0029431034,0.00033252456,0.90150774],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99730664,0.00062078243,0.00045453035,0.0008137699,0.00033239374,0.00047189518],"domain_scores_gemma":[0.99858344,0.000049136397,0.0002196484,0.0008411572,0.00006298177,0.0002436157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037764682,0.00049569644,0.0007090003,0.00013035172,0.00017997524,0.00003533552,0.0003098217,0.00008978599,0.00069022446],"category_scores_gemma":[0.00018875161,0.0003319397,0.0002791691,0.00020809444,0.00006748758,0.000018266797,0.00018594283,0.0010259396,0.005227001],"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":[0.00012765104,0.00016421132,0.00041632002,0.000073249474,0.0003398185,0.00069091807,0.00034295398,0.000013575628,0.000006958197,0.00003608047,0.9734251,0.024363192],"study_design_scores_gemma":[0.0010325507,0.0013835077,0.01091395,0.00051676715,0.00043055354,0.00018354863,0.00006678638,0.00012126441,0.0000044628014,0.00000486558,0.98507893,0.00026278984],"about_ca_topic_score_codex":0.000041834384,"about_ca_topic_score_gemma":0.00002683174,"teacher_disagreement_score":0.10638894,"about_ca_system_score_codex":0.00024708145,"about_ca_system_score_gemma":0.00011314986,"threshold_uncertainty_score":0.9999133},"labels":[],"label_agreement":null},{"id":"W3042852059","doi":"10.1007/s00330-020-07054-7","title":"MR elastography frequency–dependent and independent parameters demonstrate accelerated decrease of brain stiffness in elder subjects","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; Beijing Friendship Hospital, Capital Medical University; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"White matter; Medicine; Parenchyma; Elastography; Putamen; Magnetic resonance elastography; Thalamus; Ultrasound; Nuclear medicine; Internal medicine; Cardiology; Magnetic resonance imaging; Pathology; Radiology","score_opus":0.021640763991880113,"score_gpt":0.24381537487332636,"score_spread":0.22217461088144624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042852059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99451244,0.00069231517,0.00044928872,0.0006976729,0.00010494931,0.00027659288,0.000013314588,0.000080235615,0.0031731734],"genre_scores_gemma":[0.9958859,0.00013737073,0.00185115,0.001986347,0.000047100155,0.0000056322283,0.000030413354,0.000041702377,0.00001434702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979459,0.0005562585,0.00047234347,0.00050402357,0.00014104432,0.00038041308],"domain_scores_gemma":[0.99896187,0.00017943776,0.00014162957,0.00022833436,0.000058929414,0.0004297751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003708149,0.00024797834,0.00049263926,0.0003525678,0.000040139385,0.0000156644,0.00015593883,0.0000813706,0.00007096485],"category_scores_gemma":[0.000386007,0.00022576428,0.00010801456,0.0005570597,0.0003705044,0.00007745478,0.000049692986,0.00045289315,0.000015812984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010042068,0.00028432807,0.73382926,0.00014971007,0.00030315845,0.00070322666,0.0028175146,0.00003534319,0.25253597,0.00012368441,0.0004389314,0.0077746827],"study_design_scores_gemma":[0.003998688,0.00094702345,0.990656,0.00010056229,0.00011216617,0.0007572281,0.0005662412,0.000048082038,0.0020754726,0.00012212411,0.0003089454,0.00030743683],"about_ca_topic_score_codex":0.00013001378,"about_ca_topic_score_gemma":0.000022853916,"teacher_disagreement_score":0.2568268,"about_ca_system_score_codex":0.000013872375,"about_ca_system_score_gemma":0.000075960124,"threshold_uncertainty_score":0.92064005},"labels":[],"label_agreement":null},{"id":"W3047003037","doi":"10.1007/s00330-020-07119-7","title":"Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to inform optimal treatment planning?","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":false,"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; University Health Network","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Neuroradiology; Radiology; Radiomics; Histopathology; Interventional radiology; Magnetic resonance imaging; Pathology; Internal medicine","score_opus":0.027473672546443628,"score_gpt":0.24822014822757163,"score_spread":0.220746475681128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047003037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896609,0.005310684,0.0005110376,0.0021187295,0.00014041275,0.0013283346,0.000159868,0.00014251332,0.0006274844],"genre_scores_gemma":[0.99654514,0.000112163165,0.00078118924,0.00094402884,0.00043725022,0.000051848045,0.0008030842,0.00010562412,0.00021965602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726796,0.00037000055,0.00072601455,0.00083725684,0.0002638797,0.00053488556],"domain_scores_gemma":[0.9984891,0.00013119091,0.0002751037,0.00042092722,0.00013147641,0.00055219815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018004993,0.0005750824,0.0011592071,0.00022141956,0.00023977392,0.00004630282,0.00023093901,0.00012398943,0.000048428406],"category_scores_gemma":[0.00016050319,0.00049621536,0.00024236039,0.00031888735,0.00017913691,0.00010702516,0.00025210387,0.00041302,0.000022974116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017981025,0.00010161627,0.9504682,0.00008812959,0.0005604824,0.00057537865,0.024965582,0.00014907446,0.019747391,0.000053521184,0.00025128498,0.0012412486],"study_design_scores_gemma":[0.006385006,0.006262543,0.953342,0.00006897741,0.00047097274,0.00014032068,0.00067237724,0.01997238,0.009730953,0.000005097635,0.002481538,0.0004678298],"about_ca_topic_score_codex":0.0006540901,"about_ca_topic_score_gemma":0.00001679157,"teacher_disagreement_score":0.024293205,"about_ca_system_score_codex":0.00020803408,"about_ca_system_score_gemma":0.00010876432,"threshold_uncertainty_score":0.99974895},"labels":[],"label_agreement":null},{"id":"W3047502350","doi":"10.1007/s00330-020-07075-2","title":"Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Epilepsy research and treatment","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":"Queen's University","funders":"National Institute for Health and Care Research; Engineering and Physical Sciences Research Council; UCLH Biomedical Research Centre; Medical Research Council; Epilepsy Society; University College London","keywords":"Neuroradiology; Medicine; Hippocampal sclerosis; Confidence interval; Epilepsy; Radiology; Kappa; Quantitative assessment; Temporal lobe; Magnetic resonance imaging; Nuclear medicine; Neurology; Internal medicine; Psychiatry","score_opus":0.27620094712695886,"score_gpt":0.48233052584872765,"score_spread":0.2061295787217688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047502350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99134445,0.00027574075,0.0014832743,0.0011015334,0.00012143166,0.00094856933,0.000024107516,0.00006122478,0.0046396744],"genre_scores_gemma":[0.98342556,0.000087860935,0.016081449,0.00014499048,0.0000849672,0.000020165631,0.00012427969,0.000017596478,0.000013114204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973725,0.0012246167,0.00069387455,0.00027897832,0.00027433696,0.00015568815],"domain_scores_gemma":[0.9984525,0.0004000585,0.00032025273,0.00022065667,0.0004577,0.00014882692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003044876,0.00008667439,0.00045282525,0.000050572307,0.000021760952,0.0000019451636,0.00005488003,0.00003906121,0.00008619371],"category_scores_gemma":[0.0018667738,0.000067786204,0.00015290672,0.000109750465,0.00016962932,0.000020581925,0.000032906195,0.00010628305,0.000008831142],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018226827,0.0013283492,0.9040063,0.00030804996,0.0018554848,0.00031174545,0.0009216029,0.0004636164,0.031455524,0.0012524815,0.02425845,0.032015685],"study_design_scores_gemma":[0.0036769747,0.0077722445,0.9399894,0.000064023654,0.00032343328,0.000034718734,0.00010052438,0.046851777,0.0007485916,0.00005701182,0.00032318625,0.000058134105],"about_ca_topic_score_codex":0.000004020594,"about_ca_topic_score_gemma":8.8745116e-7,"teacher_disagreement_score":0.046388157,"about_ca_system_score_codex":0.00003919206,"about_ca_system_score_gemma":0.00027425901,"threshold_uncertainty_score":0.27642414},"labels":[],"label_agreement":null},{"id":"W3048961178","doi":"10.1007/s00330-020-07120-0","title":"The implications of missed or misinterpreted cases of pancreatic ductal adenocarcinoma on imaging: a multi-centered population-based study","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Stage (stratigraphy); Proportional hazards model; Survival analysis; Pancreatic cancer; Adenocarcinoma; Internal medicine; Chemotherapy; Population; Hazard ratio; Multivariate analysis; Neuroradiology; Cancer; Surgery; Radiology; Confidence interval","score_opus":0.10720210047972668,"score_gpt":0.36423555429357063,"score_spread":0.25703345381384396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048961178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993134,0.00028995893,0.00024734435,0.0047776676,0.00004022286,0.00088634575,0.000031394007,0.000034285305,0.00055877987],"genre_scores_gemma":[0.99850893,0.000012130444,0.0004963825,0.0006614569,0.000066887835,0.000018199693,0.00004411424,0.000027441565,0.00016445409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979228,0.0008938381,0.0005461243,0.00028209446,0.00013108764,0.00022408924],"domain_scores_gemma":[0.9977927,0.0012626199,0.00021320784,0.00044686464,0.00014013828,0.00014447032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032443594,0.00014193542,0.0005328899,0.00008128594,0.00009950332,0.000005175959,0.00023568347,0.000028033726,0.00007570955],"category_scores_gemma":[0.0020684046,0.00008747033,0.00009520118,0.0001926818,0.000205731,0.000014050889,0.000044629447,0.00017413996,0.000020205915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002504467,0.00054602616,0.9900797,0.00004900562,0.00021748603,0.00030722324,0.00084294204,0.0000074632435,0.0041733515,0.000027240061,0.0009640986,0.00028101733],"study_design_scores_gemma":[0.003778247,0.0032772822,0.98826784,0.000047709484,0.00025428113,0.00017753457,0.00066093233,0.0032688072,0.0000979073,0.000002617253,0.00009759824,0.00006923586],"about_ca_topic_score_codex":0.000114626135,"about_ca_topic_score_gemma":0.000014792419,"teacher_disagreement_score":0.0053749313,"about_ca_system_score_codex":0.000042510885,"about_ca_system_score_gemma":0.00017182625,"threshold_uncertainty_score":0.35669366},"labels":[],"label_agreement":null},{"id":"W3049038013","doi":"10.1007/s00330-020-07152-6","title":"Abdominal lymphatic system visibility, morphology, and abnormalities in children as seen on routine MCRP and its association with immune-mediated diseases","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Lymphatic Disorders and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"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; Neuroradiology; Lymphatic system; Immune system; Visibility; Interventional radiology; Association (psychology); Pathology; Radiology; Immunology; Neurology","score_opus":0.0066056866968510035,"score_gpt":0.21283863508905354,"score_spread":0.20623294839220255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049038013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942345,0.0020725315,0.0000044586704,0.0012674553,0.000031546544,0.00047558986,0.000046145495,0.00006674643,0.0018010155],"genre_scores_gemma":[0.99856,0.00016807205,0.00002454068,0.0008557261,0.00006941884,0.0000100447805,0.00016322336,0.000026457685,0.00012249211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848586,0.00052948226,0.00028221207,0.0003500097,0.00011651229,0.00023591929],"domain_scores_gemma":[0.9993662,0.00018454563,0.00013868386,0.00012594654,0.000030038464,0.00015456314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000264708,0.00018433917,0.00044958282,0.00006829251,0.00006129533,0.000012340963,0.000053238207,0.000052166277,0.000018302995],"category_scores_gemma":[0.00030608446,0.00013590105,0.000028688759,0.00010084448,0.00007901109,0.000058408485,0.000055102362,0.000076440934,0.000067074296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006966758,0.00013081417,0.99682796,0.00008856374,0.00026611527,0.00041272258,0.0007917,0.000005968541,0.00007579188,0.00022378536,0.00008672502,0.00039317712],"study_design_scores_gemma":[0.008450795,0.0015289031,0.9881368,0.0000877168,0.00020360308,0.0006275267,0.00038609537,0.0004017993,0.000024522868,0.000010833517,0.000018487319,0.00012289963],"about_ca_topic_score_codex":0.00007819441,"about_ca_topic_score_gemma":0.0000020870873,"teacher_disagreement_score":0.008691143,"about_ca_system_score_codex":0.00013271462,"about_ca_system_score_gemma":0.000047121623,"threshold_uncertainty_score":0.5541884},"labels":[],"label_agreement":null},{"id":"W3082717001","doi":"10.1007/s00330-020-07203-y","title":"Intravoxel incoherent motion diffusion-weighted MRI for the characterization of inflammation in chronic liver disease","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Université de Montréal; CARE Canada; Philips (Canada); McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Intravoxel incoherent motion; Medicine; Steatosis; Diffusion MRI; Neuroradiology; Fibrosis; Effective diffusion coefficient; Nuclear medicine; Intraclass correlation; Inflammation; Gastroenterology; Univariate analysis; Internal medicine; Magnetic resonance imaging; Radiology; Pathology; Multivariate analysis; Neurology","score_opus":0.021622212833642285,"score_gpt":0.24698133538626504,"score_spread":0.22535912255262275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082717001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96322495,0.0003811674,0.019298837,0.015394846,0.0002000544,0.0012839485,0.000029941157,0.000040097915,0.00014617578],"genre_scores_gemma":[0.9963787,0.0016355996,0.00009667477,0.0006231245,0.0008851928,0.000061122606,0.00026764374,0.000024852201,0.000027080185],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990667,0.00021428932,0.00030832473,0.00020086861,0.00008246311,0.00012737309],"domain_scores_gemma":[0.9993961,0.0001341646,0.00014912104,0.00018220909,0.00005687166,0.000081556034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018275832,0.00009510737,0.00018236595,0.000057911173,0.00003114695,0.000004506029,0.0001041611,0.000031501528,0.00015094389],"category_scores_gemma":[0.00011739361,0.00006990677,0.000052360538,0.00014153813,0.00006897154,0.00004852828,0.000041932326,0.000109522436,0.000025888192],"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":[0.0027401543,0.00024218834,0.09410709,0.0012987118,0.0001665808,0.00010517294,0.0046350206,0.0009074731,0.70641136,0.0018741908,0.0046032798,0.1829088],"study_design_scores_gemma":[0.0021298702,0.00040813006,0.9154059,0.0001016089,0.00009468832,0.000005118898,0.000014844082,0.06127893,0.0039562434,0.00002060007,0.016493764,0.000090249625],"about_ca_topic_score_codex":0.000007466287,"about_ca_topic_score_gemma":0.0000071649033,"teacher_disagreement_score":0.82129884,"about_ca_system_score_codex":0.00012963495,"about_ca_system_score_gemma":0.0000648916,"threshold_uncertainty_score":0.28507152},"labels":[],"label_agreement":null},{"id":"W3082962706","doi":"10.1007/s00330-020-07195-9","title":"Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","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; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Medicine; Nuclear medicine; Lung cancer; Neuroradiology; Receiver operating characteristic; Hounsfield scale; Radiology; Internal medicine; Computed tomography; Neurology","score_opus":0.009134524900817212,"score_gpt":0.20516155463212643,"score_spread":0.19602702973130923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082962706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8177217,0.0030212614,0.1768158,0.0006081133,0.00016897976,0.00015595081,0.000101929785,0.00028499035,0.0011212544],"genre_scores_gemma":[0.997909,0.00021901996,0.0007244742,0.00026076677,0.00014794734,0.000014923021,0.00063673244,0.000057958772,0.000029192037],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990325,0.00015348548,0.0002321015,0.0002795829,0.00007785737,0.00022448288],"domain_scores_gemma":[0.9996342,0.00006692455,0.0000856218,0.00009015335,0.000022245858,0.00010086286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009393685,0.00019081643,0.00024719143,0.000049759958,0.000094312585,0.000021081938,0.00007718801,0.000014079377,0.000028714438],"category_scores_gemma":[0.000010702443,0.00018431897,0.00003518817,0.00011240417,0.00007891829,0.00018486129,0.000043249085,0.00014174616,0.0000023110913],"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":[0.00022694492,0.00005002832,0.09564127,0.00038651266,0.0021992722,0.0002640797,0.00042469485,0.008276063,0.7942252,0.0002583234,0.0039943806,0.09405322],"study_design_scores_gemma":[0.007661804,0.00047644638,0.53537345,0.0002317482,0.0011233806,0.00043201065,0.0003870967,0.40883648,0.027520632,0.00010256563,0.015649851,0.0022045511],"about_ca_topic_score_codex":0.000010784151,"about_ca_topic_score_gemma":0.0000012734117,"teacher_disagreement_score":0.76670456,"about_ca_system_score_codex":0.00005198813,"about_ca_system_score_gemma":0.000011359252,"threshold_uncertainty_score":0.7516309},"labels":[],"label_agreement":null},{"id":"W3083681665","doi":"10.1007/s00330-020-07142-8","title":"Prediction of revascularization by coronary CT angiography using a machine learning ischemia risk score","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; National Heart, Lung, and Blood Institute; Doris Duke Charitable Foundation","keywords":"Medicine; Revascularization; Coronary artery disease; Internal medicine; Cardiology; Radiology; Neuroradiology; Angiography; Percutaneous coronary intervention; Stenosis; Fractional flow reserve; Prospective cohort study; Computed tomography angiography; Coronary angiography; Myocardial infarction","score_opus":0.021310656569677282,"score_gpt":0.22426255529926076,"score_spread":0.20295189872958347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083681665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97571456,0.007557742,0.0141479,0.00017087611,0.00012135093,0.00016714493,0.00009259085,0.00013172257,0.0018960866],"genre_scores_gemma":[0.9973714,0.00039845926,0.0010796784,0.00034091366,0.00024730508,8.01975e-7,0.0005001218,0.000035937257,0.000025393352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989504,0.00036915523,0.00022674631,0.00022400619,0.000096314325,0.00013333315],"domain_scores_gemma":[0.9994995,0.00007457559,0.00013499262,0.00013902,0.000051386964,0.000100552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002477346,0.00010674423,0.0002566263,0.000071920695,0.000056877885,0.0000043725536,0.000045744557,0.000025244886,0.000023622284],"category_scores_gemma":[0.00063385884,0.00010334081,0.00021541976,0.00023121489,0.000094741816,0.000031811764,0.000038403112,0.0002715178,0.000011801788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007723504,0.000024282443,0.9562715,0.00004790856,0.00017321024,0.000097303404,0.00020626228,0.000858239,0.037490066,0.0000050111025,0.0037775089,0.0009714276],"study_design_scores_gemma":[0.0039681103,0.0010508508,0.9257379,0.00017399265,0.0014830582,0.0012713249,0.000096950316,0.034548704,0.004409309,0.0000070439946,0.02700155,0.00025116125],"about_ca_topic_score_codex":0.000029583862,"about_ca_topic_score_gemma":9.081585e-8,"teacher_disagreement_score":0.033690467,"about_ca_system_score_codex":0.00001445692,"about_ca_system_score_gemma":0.000018860066,"threshold_uncertainty_score":0.4214116},"labels":[],"label_agreement":null},{"id":"W3083729105","doi":"10.1007/s00330-020-07182-0","title":"Whole-body MRI versus an FDG-PET/CT-based reference standard for staging of paediatric Hodgkin lymphoma: a prospective multicentre study","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Lymphoma Diagnosis and Treatment","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":"SickKids Foundation; University of Toronto; Hospital for Sick Children; University of Ottawa","funders":"Stichting Kinderen Kankervrij","keywords":"Medicine; Concordance; Neuroradiology; Radiology; Nuclear medicine; Kappa; Stage (stratigraphy); Cohen's kappa; Prospective cohort study; Magnetic resonance imaging; Positron emission tomography; Standardized uptake value; PET-CT; Neurology; Pathology; Internal medicine","score_opus":0.03585677243929235,"score_gpt":0.29770663851611523,"score_spread":0.26184986607682287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083729105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947081,0.00036327654,0.00029044054,0.0007944241,0.00021857936,0.0020035661,0.00022859033,0.00012488199,0.001268117],"genre_scores_gemma":[0.9972253,0.000028676604,0.0018497152,0.00031367232,0.0002660249,0.00007889708,0.00015047993,0.000058125985,0.00002914501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978137,0.00048154095,0.00043783127,0.00067268714,0.00021509493,0.00037917064],"domain_scores_gemma":[0.99855924,0.000343865,0.00022078502,0.00040724865,0.00019034528,0.00027851074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031829515,0.00028319546,0.00065314927,0.00010612722,0.00009663236,0.000017152282,0.0001876796,0.000015248472,0.000038613416],"category_scores_gemma":[0.00031577275,0.00023088556,0.00012844404,0.0002320515,0.00009930649,0.00006253122,0.000066260654,0.000092354356,0.000045540826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.030213805,0.007283811,0.9216402,0.00032489284,0.0014994397,0.009957419,0.0051119844,0.00035844123,0.00192598,0.00064010284,0.004152345,0.016891552],"study_design_scores_gemma":[0.12690586,0.04226024,0.80725586,0.000070301605,0.0015453397,0.00012811845,0.004405116,0.0023377268,0.0028717204,0.000010642193,0.011641915,0.00056716346],"about_ca_topic_score_codex":0.000029269911,"about_ca_topic_score_gemma":0.0000113923115,"teacher_disagreement_score":0.114384376,"about_ca_system_score_codex":0.00026449063,"about_ca_system_score_gemma":0.00023046888,"threshold_uncertainty_score":0.941524},"labels":[],"label_agreement":null},{"id":"W3084179770","doi":"10.1007/s00330-020-07243-4","title":"Amide signal intensities may be reduced in the motor cortex and the corticospinal tract of ALS patients","year":2020,"lang":"nl","type":"article","venue":"European Radiology","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Department of Education of Guangdong Province; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; ALS Society of Canada","keywords":"Corticospinal tract; Motor cortex; Medicine; Magnetic resonance imaging; Amyotrophic lateral sclerosis; Neuroimaging; Primary motor cortex; Diffusion MRI; Nuclear medicine; Internal medicine; Radiology; Disease","score_opus":0.044148002096200116,"score_gpt":0.2785898120788317,"score_spread":0.2344418099826316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084179770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97187686,0.0011831209,0.000011200152,0.022995753,0.00017336456,0.0010115689,0.00004448103,0.000015028933,0.0026886435],"genre_scores_gemma":[0.9910337,0.00077836536,0.000020421603,0.007232433,0.0004651044,0.000010619382,0.000029280984,0.00004268829,0.0003874226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99340165,0.0043435404,0.0008461465,0.0004487716,0.00042163377,0.0005382408],"domain_scores_gemma":[0.9980578,0.00091476185,0.00029608564,0.0003756028,0.00016964134,0.00018611542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015379924,0.00027455325,0.0007674492,0.00007367082,0.00010389558,0.000032322514,0.00053579663,0.00008931508,0.0004421795],"category_scores_gemma":[0.001389627,0.0001453475,0.00013889374,0.00023058847,0.002092729,0.00006181317,0.000244144,0.000922142,0.00015143015],"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":[0.055070557,0.002309595,0.31620166,0.0012029931,0.0018853954,0.005222508,0.109862514,0.00009740176,0.42601493,0.0048947074,0.05618594,0.021051792],"study_design_scores_gemma":[0.005677148,0.0033963276,0.98650527,0.0001232503,0.00011868551,0.00011974579,0.0014622597,0.0010384367,0.00006934008,0.000019906778,0.0013280708,0.0001415752],"about_ca_topic_score_codex":0.00014657344,"about_ca_topic_score_gemma":0.0000027720603,"teacher_disagreement_score":0.6703036,"about_ca_system_score_codex":0.00005298542,"about_ca_system_score_gemma":0.00008740119,"threshold_uncertainty_score":0.7710748},"labels":[],"label_agreement":null},{"id":"W3084188482","doi":"10.1007/s00330-020-07236-3","title":"Diagnostic accuracy of dual-energy CT for the detection of bone marrow edema in the appendicular skeleton: a systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta","keywords":"Appendicular skeleton; Medicine; Meta-analysis; Neuroradiology; Radiology; Confidence interval; Cochrane Library; Nuclear medicine; Axial skeleton; Skeleton (computer programming); Internal medicine; Neurology","score_opus":0.0333294799533906,"score_gpt":0.2792299065185193,"score_spread":0.24590042656512873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084188482","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":[6.5544486e-7,0.97515416,0.023117002,0.00007895257,0.000043341344,0.0014714542,0.000038195125,0.000023688954,0.000072525545],"genre_scores_gemma":[0.0036652016,0.9955945,0.000077220284,0.0001315062,0.00004572938,0.0003864635,0.00003241835,0.000053134212,0.000013847332],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99646556,0.0017472267,0.0012340177,0.00026373737,0.00010157181,0.00018785497],"domain_scores_gemma":[0.99407583,0.0046539777,0.0006429895,0.000571382,0.000026698897,0.000029095072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014252261,0.0003420924,0.004658591,0.00015511093,0.00004134848,0.000009711664,0.00033870302,0.000037826005,0.000012685672],"category_scores_gemma":[0.0016072275,0.00017505937,0.0013103606,0.0006479332,0.00007635388,0.000042886026,0.00005445554,0.00024600147,0.000004114554],"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":[0.0000017634022,0.000014507409,2.660821e-7,0.91838336,0.05102233,0.00015427677,0.000107041895,0.0011557987,0.0000046611817,0.00029343204,0.00012152825,0.028741036],"study_design_scores_gemma":[0.00012352095,0.00006594193,0.0000027850108,0.011051132,0.7414275,0.00094256026,0.00004566327,0.00055198075,0.000002872646,0.000028140188,0.24544555,0.00031237127],"about_ca_topic_score_codex":0.0000044989233,"about_ca_topic_score_gemma":0.0000062976956,"teacher_disagreement_score":0.90733224,"about_ca_system_score_codex":0.000020908301,"about_ca_system_score_gemma":0.000011108917,"threshold_uncertainty_score":0.71387136},"labels":[],"label_agreement":null},{"id":"W3086493976","doi":"10.1007/s00330-020-07233-6","title":"Effect of phase of enhancement on texture analysis in renal masses evaluated with non-contrast-enhanced, corticomedullary, and nephrographic phase–enhanced CT images","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Chromophobe cell; Renal cell carcinoma; Neuroradiology; Nuclear medicine; Radiology; Intraclass correlation; Renal tumor; Kidney; Clear cell; Pathology; Nephrectomy; Internal medicine","score_opus":0.013979210443779944,"score_gpt":0.29664499011274853,"score_spread":0.2826657796689686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086493976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934957,0.0009813426,0.0025944614,0.00019199759,0.000025714824,0.00094864744,0.000023105815,0.000024484541,0.001714546],"genre_scores_gemma":[0.9989561,0.0002553795,0.00033170925,0.0001805379,0.000052507472,0.000028511431,0.00013373072,0.00003576736,0.000025743515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973522,0.0008596624,0.00062303303,0.00057137007,0.00027491164,0.0003188231],"domain_scores_gemma":[0.99870193,0.0002790322,0.00035951537,0.0003715732,0.000091963644,0.00019601204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049859734,0.00034056033,0.0012855944,0.00039436988,0.000026949407,0.000006307191,0.0001237895,0.000039759103,0.00011426264],"category_scores_gemma":[0.000115516574,0.00023156061,0.00018272885,0.0009435129,0.00032784,0.00003709972,0.000038616472,0.0002459845,0.0000066980137],"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":[0.013364196,0.00083214795,0.013665869,0.0002821538,0.0020752426,0.0010949934,0.00038279043,0.00023711208,0.9492012,0.0000027495262,0.00008375345,0.018777791],"study_design_scores_gemma":[0.028609809,0.050477203,0.06760224,0.0001862626,0.0029150916,0.00008263995,0.000045274595,0.0009973439,0.8488299,0.0000010792538,0.00005089248,0.00020226042],"about_ca_topic_score_codex":0.000015061818,"about_ca_topic_score_gemma":0.0000051064176,"teacher_disagreement_score":0.10037129,"about_ca_system_score_codex":0.00004298294,"about_ca_system_score_gemma":0.00004705562,"threshold_uncertainty_score":0.94427675},"labels":[],"label_agreement":null},{"id":"W3088077736","doi":"10.1007/s00330-020-07292-9","title":"Assessment of lateral costal artery with CT angiography: determination of prevalence and vessel length in the general population and its potential impact for coronary artery bypass grafting","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Angina; Artery; Coronary artery disease; Population; Angiography; Radiology; Cardiology; Internal medicine; Right coronary artery; Internal thoracic artery; Bypass grafting; Coronary angiography; Myocardial infarction","score_opus":0.014224913548290455,"score_gpt":0.27773603820137455,"score_spread":0.2635111246530841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088077736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981904,0.00039062038,0.0007087684,0.00014209369,0.00002381289,0.00042568234,0.000034184406,0.000016065778,0.00006836332],"genre_scores_gemma":[0.9989162,0.00010912119,0.00068535807,0.00012505155,0.000068359324,0.000009194619,0.00007135957,0.000012598825,0.0000027777448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910873,0.00029324117,0.00022429816,0.00017282226,0.000087961875,0.000112959926],"domain_scores_gemma":[0.99965924,0.00007544952,0.00011795314,0.0000792562,0.000031566615,0.0000365133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035147954,0.00009812056,0.00024283583,0.00008166422,0.000024267858,0.000005916093,0.000044139135,0.000019280522,0.000002355957],"category_scores_gemma":[0.000013618632,0.00006805253,0.00008718444,0.00007414594,0.00005889588,0.00008211931,0.000022120144,0.000080888465,3.9516905e-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":[0.0003954586,0.000040014656,0.97879314,0.00012581456,0.000069770715,0.00015378739,0.00026482245,0.000012483533,0.011912685,0.000039296217,0.000035904388,0.008156826],"study_design_scores_gemma":[0.0007753032,0.0014419252,0.9938418,0.00004788202,0.000095029165,0.000970243,0.000029564759,0.00261217,0.00009500537,0.0000132992345,0.000012600224,0.00006516244],"about_ca_topic_score_codex":0.000007222947,"about_ca_topic_score_gemma":6.6394205e-7,"teacher_disagreement_score":0.015048678,"about_ca_system_score_codex":0.000009359713,"about_ca_system_score_gemma":0.000013757849,"threshold_uncertainty_score":0.27751017},"labels":[],"label_agreement":null},{"id":"W3089489731","doi":"10.1007/s00330-020-07307-5","title":"Factors associated with missed and misinterpreted cases of pancreatic ductal adenocarcinoma","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Victoria General Hospital; Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Pancreatic ductal adenocarcinoma; Pancreatitis; Interventional radiology; Pancreatic duct; Adenocarcinoma; Pancreatic cancer; Internal medicine; Neurology; Cancer","score_opus":0.09618280526722034,"score_gpt":0.2991875483836281,"score_spread":0.20300474311640776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089489731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930425,0.00083258376,0.00005581013,0.000934964,0.000019072942,0.00023442284,0.00001792761,0.00004761435,0.0048150886],"genre_scores_gemma":[0.99895275,0.000032849428,0.00013552535,0.0004995229,0.000059914,0.0000017680522,0.00004919586,0.000027658558,0.00024082376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986595,0.00048029635,0.00025124496,0.00026034785,0.000110352295,0.00023824406],"domain_scores_gemma":[0.99884105,0.0005884596,0.00010569525,0.00014894469,0.000074102805,0.00024172691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017711271,0.00014877347,0.0006516749,0.00006009665,0.000041132203,0.0000040909736,0.000084575826,0.000059893813,0.00015855278],"category_scores_gemma":[0.0014958855,0.00010007723,0.00004616405,0.00013463027,0.0004220671,0.000022204016,0.00004402552,0.00019930764,0.000009746649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005436521,0.0000520158,0.98712844,0.000056508205,0.00045853455,0.0012734503,0.001615105,3.3077964e-7,0.007817825,0.000028080576,0.00097519986,0.000050836756],"study_design_scores_gemma":[0.0019931705,0.0037158867,0.992039,0.00007869575,0.0003686279,0.0004908114,0.00046004448,0.00030826766,0.00035357501,0.000003453417,0.000092072434,0.00009637168],"about_ca_topic_score_codex":0.000017160983,"about_ca_topic_score_gemma":0.0000022177187,"teacher_disagreement_score":0.0074642505,"about_ca_system_score_codex":0.000025628373,"about_ca_system_score_gemma":0.0000905063,"threshold_uncertainty_score":0.4081031},"labels":[],"label_agreement":null},{"id":"W3092145696","doi":"10.1007/s00330-020-07260-3","title":"Endovascular stroke treatment using balloon guide catheters may reduce penumbral tissue damage and improve long-term outcome","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","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 Calgary","funders":"Technische Universität München","keywords":"Penumbra; Medicine; Neuroradiology; Interventional radiology; Balloon; Radiology; Stroke (engine); Surgery; Nuclear medicine; Neurology; Ischemia; Internal medicine","score_opus":0.043286174514391235,"score_gpt":0.30655967706707327,"score_spread":0.263273502552682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092145696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799621,0.0006396044,0.0019616457,0.0030806905,0.000287133,0.00071051647,0.000029474393,0.00012379757,0.01320504],"genre_scores_gemma":[0.9858022,0.0001479283,0.0042331545,0.002938322,0.0007386004,0.0000077465165,0.00007752944,0.00009379148,0.005960781],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810153,0.00024578455,0.00043597777,0.0006463112,0.00014144725,0.00042892277],"domain_scores_gemma":[0.99901736,0.000032221025,0.00013469641,0.00049584114,0.000025269204,0.0002946073],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021742047,0.00031897437,0.00055733515,0.00007880947,0.00006698319,0.000022933418,0.0001928113,0.00005865553,0.0001256567],"category_scores_gemma":[0.00009082575,0.00027123865,0.00014696758,0.000068623136,0.00016528057,0.00005686704,0.00025036323,0.00019239077,0.00011966102],"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":[0.00033581743,0.00015367602,0.13346715,0.00019859531,0.0014216884,0.008708103,0.0014965497,0.00003228771,0.8085036,0.00003479963,0.009894805,0.035752922],"study_design_scores_gemma":[0.023646925,0.00816703,0.42538106,0.00015022028,0.0040783808,0.0046764035,0.0007461788,0.0017117955,0.13664725,0.0000012996055,0.39309868,0.0016947446],"about_ca_topic_score_codex":0.000037464502,"about_ca_topic_score_gemma":0.0000013908967,"teacher_disagreement_score":0.67185634,"about_ca_system_score_codex":0.00017955512,"about_ca_system_score_gemma":0.000029026347,"threshold_uncertainty_score":0.99997395},"labels":[],"label_agreement":null},{"id":"W3092200200","doi":"10.1007/s00330-020-07442-z","title":"Correction to: Risk assessment of acute pulmonary embolism utilizing coronary artery calcifications in patients that have undergone CT pulmonary angiography and transthoracic echocardiography","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Pulmonary embolism; Radiology; Neuroradiology; Interventional radiology; Ultrasound; Angiography; Pulmonary artery; Cardiology; Internal medicine; Neurology","score_opus":0.020585786873533275,"score_gpt":0.2713068064561121,"score_spread":0.2507210195825788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092200200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811922,0.0006732599,0.0027238508,0.0010098439,0.00055391004,0.0011403696,0.00008272302,0.000096971926,0.012526919],"genre_scores_gemma":[0.995269,0.0026416571,0.0006430686,0.0010288117,0.00009412405,0.0000393021,0.00020926123,0.00005402327,0.000020741534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977613,0.0005900732,0.00048802033,0.0006116463,0.00020664456,0.00034232982],"domain_scores_gemma":[0.99905384,0.000100699464,0.00018085891,0.00034589288,0.00005866248,0.00026003012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003558302,0.00026313754,0.0006946669,0.00057945563,0.00011051962,0.000013307144,0.00014988522,0.000044995366,0.000020313697],"category_scores_gemma":[0.000023743803,0.00026045242,0.0003211644,0.0005781203,0.00015269108,0.00011162709,0.000095777265,0.00033682433,0.000008680066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021485992,0.0007178699,0.9678309,0.0000688253,0.0007921175,0.00053148234,0.00062404363,0.00017592647,0.0006967553,0.000080639926,0.0022082515,0.026058339],"study_design_scores_gemma":[0.0008052109,0.0008782752,0.9944176,0.00009935135,0.00064724946,0.000110773006,0.00050116144,0.0013573936,0.000036839097,0.000021732472,0.00091254746,0.00021183964],"about_ca_topic_score_codex":0.00004518055,"about_ca_topic_score_gemma":0.0000044826293,"teacher_disagreement_score":0.026586737,"about_ca_system_score_codex":0.000041315125,"about_ca_system_score_gemma":0.000024989764,"threshold_uncertainty_score":0.99998474},"labels":[],"label_agreement":null},{"id":"W3095277525","doi":"10.1007/s00330-020-07436-x","title":"The practice of emergency radiology throughout Europe: a survey from the European Society of Emergency Radiology on volume, staffing, equipment, and scheduling","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton General Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Interventional radiology; Radiology; Staffing; Specialty; Teleradiology; Neuroradiology; Medical emergency; Emergency medicine; Health care; Family medicine; Telemedicine; Nursing","score_opus":0.06803230787342668,"score_gpt":0.3430724996982913,"score_spread":0.2750401918248646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095277525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90826553,0.018509837,0.002358689,0.037715703,0.0044901287,0.0009080416,0.00010202792,0.00011561674,0.027534455],"genre_scores_gemma":[0.95082295,0.04046132,0.0018670284,0.003372976,0.002201035,0.0000087842,0.00025194226,0.00013096917,0.0008830165],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9857549,0.011159502,0.0013961823,0.0008534168,0.0002168287,0.00061915186],"domain_scores_gemma":[0.99455017,0.0026454933,0.001432787,0.000873605,0.00027528574,0.00022268904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0057878005,0.0004112004,0.00082090136,0.00004493465,0.0003776685,0.000014237401,0.00073416025,0.00015256359,0.00014993212],"category_scores_gemma":[0.0079407,0.00026690567,0.0002508722,0.00046059416,0.00070448173,0.00016830735,0.0003031614,0.0010183892,0.00013040325],"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":[0.0039160247,0.000585302,0.44397008,0.00014162573,0.0032349403,0.00012832579,0.02397035,0.0003969957,0.02820778,0.0017110104,0.47577178,0.017965782],"study_design_scores_gemma":[0.0018747757,0.0027395498,0.63631654,0.000037174468,0.00052641315,0.00040001445,0.0026941432,0.0012430877,0.00006909853,0.000058252008,0.35366943,0.00037154683],"about_ca_topic_score_codex":0.00021798536,"about_ca_topic_score_gemma":0.0000134719985,"teacher_disagreement_score":0.19234642,"about_ca_system_score_codex":0.00004466319,"about_ca_system_score_gemma":0.00017565346,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W3095945384","doi":"10.1007/s00330-020-07355-x","title":"In vivo 3D tomography of the lumbar spine using a twin robotic X-ray system: quantitative and qualitative evaluation of the lumbar neural foramina in supine and upright position","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Medical Imaging and Analysis","field":"Engineering","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":"McGill University; McGill University Health Centre","funders":"Siemens Healthineers; Universität Basel","keywords":"Supine position; Medicine; Nuclear medicine; Lumbar; Tomography; Lumbar vertebrae; Anatomy; Radiology; Surgery","score_opus":0.03296057508305474,"score_gpt":0.28765618363034956,"score_spread":0.25469560854729484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095945384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953217,0.0012230254,0.0026777978,0.00035527453,0.00008117337,0.00018737715,0.00000564112,0.000010651014,0.0001373729],"genre_scores_gemma":[0.9992629,0.000021321464,0.000612172,0.00006266951,0.000022795766,0.0000019871643,0.000001910904,0.000011687671,0.00000253371],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975392,0.0017459024,0.00032626654,0.0001458548,0.00013225857,0.00011048274],"domain_scores_gemma":[0.9996706,0.00005614034,0.00009066928,0.00010616886,0.000044762975,0.000031616866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009882291,0.00009400887,0.00026735026,0.00009627086,0.000024881527,0.000005198966,0.00009537178,0.000024392531,0.0000058785904],"category_scores_gemma":[0.00022284772,0.00006269328,0.00004422306,0.0004360878,0.00019766927,0.00005814817,0.000037573,0.00014224129,2.9464428e-7],"study_design_candidate":"simulation_or_modeling","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":[0.000028705637,0.00006724909,0.021925211,0.0012272659,0.00030128934,0.000033588243,0.06462546,0.44053346,0.46792576,0.001768969,0.00015334206,0.0014097034],"study_design_scores_gemma":[0.0006247427,0.00006643839,0.10214068,0.00018546537,0.00011924375,0.0000130796925,0.0017905878,0.8944637,0.0004834425,0.000033130797,0.0000038107726,0.00007568127],"about_ca_topic_score_codex":0.00004544545,"about_ca_topic_score_gemma":0.000016420538,"teacher_disagreement_score":0.4674423,"about_ca_system_score_codex":0.000026293126,"about_ca_system_score_gemma":0.000009616639,"threshold_uncertainty_score":0.25565577},"labels":[],"label_agreement":null},{"id":"W3096027725","doi":"10.1007/s00330-020-07328-0","title":"Normal subchondral high T2 signal on MRI mimicking sacroiliitis in children: frequency, age distribution, and relationship to skeletal maturity","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Sacroiliac joint; Sacroiliitis; Sacrum; Asymptomatic; Neuroradiology; Radiology; Synchondrosis; Anatomy; Magnetic resonance imaging; Surgery; Neurology","score_opus":0.012934559720854139,"score_gpt":0.2299212466647533,"score_spread":0.21698668694389917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096027725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942191,0.0004942819,0.000085990185,0.0027895013,0.00009871993,0.00031694182,0.00016569093,0.000057232995,0.0017725164],"genre_scores_gemma":[0.99712855,0.00006275314,0.00039924873,0.0014306643,0.00032206276,0.0000071123227,0.0005785183,0.000023069588,0.00004801545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987194,0.00023926707,0.0002559375,0.0003858921,0.000092014765,0.00030752373],"domain_scores_gemma":[0.99954164,0.00006661547,0.000046375895,0.00013477329,0.000020973745,0.0001896176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001204565,0.00017325595,0.0003054328,0.000051724885,0.0001322373,0.000013598363,0.00006842357,0.00005887155,0.00008555894],"category_scores_gemma":[0.00013965897,0.0001623911,0.000052793974,0.00016745176,0.00011281373,0.000043793785,0.00007119878,0.00033378912,0.00016324673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020718167,0.00008082128,0.99062496,0.0000111844565,0.000057007586,0.0018911994,0.00041712183,0.00001542562,0.0004374154,0.002178742,0.0032874928,0.00079143565],"study_design_scores_gemma":[0.0025629762,0.0011095345,0.99411774,0.000038662503,0.000031419197,0.0005334569,0.000020783042,0.0000045111155,0.00006174944,0.000060519338,0.0013234863,0.00013516734],"about_ca_topic_score_codex":0.00004725992,"about_ca_topic_score_gemma":0.000025966316,"teacher_disagreement_score":0.0034927616,"about_ca_system_score_codex":0.00007439969,"about_ca_system_score_gemma":0.0000157652,"threshold_uncertainty_score":0.66221166},"labels":[],"label_agreement":null},{"id":"W3102547009","doi":"10.1007/s00330-020-07453-w","title":"COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists","year":2020,"lang":"en","type":"letter","venue":"European Radiology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Vector Institute; University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Interventional radiology; Neuroradiology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Radiology; Coronavirus Infections; Medical physics; Ultrasound; MEDLINE; Betacoronavirus; Pathology; Neurology; Disease","score_opus":0.046863323230261,"score_gpt":0.3294742666253284,"score_spread":0.2826109433950674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102547009","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":[0.0004733033,0.0047997236,0.00090143515,0.9876144,0.0015906502,0.0012870253,0.0015456903,0.0008137879,0.0009739767],"genre_scores_gemma":[0.0025041348,0.002168069,0.00092228706,0.96602523,0.011791205,0.000057789133,0.0153171215,0.00036162836,0.00085251796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98997724,0.0042251423,0.0012403497,0.0027529655,0.00038916405,0.0014151513],"domain_scores_gemma":[0.99393046,0.0020210983,0.00064129283,0.0020305347,0.000091110654,0.0012854824],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001074107,0.0012514677,0.0027136095,0.0006346443,0.00031781362,0.000081199316,0.0010529028,0.0011922363,0.00080546056],"category_scores_gemma":[0.0072279493,0.0011326016,0.00035596275,0.0003616069,0.002263796,0.000103457525,0.00082841836,0.0051790667,0.0008418856],"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":[0.00032220533,0.000054612567,0.0031302192,0.0009008836,0.00054593757,0.041570023,0.00052233296,0.000014165922,0.00023974622,0.00004126953,0.9518358,0.0008227716],"study_design_scores_gemma":[0.0034859667,0.00127349,0.0019333352,0.00014495809,0.0007153111,0.01976612,0.000015958016,0.000087344706,0.000009425029,0.00006791282,0.9715516,0.0009486097],"about_ca_topic_score_codex":0.0001507463,"about_ca_topic_score_gemma":0.000011400417,"teacher_disagreement_score":0.021803904,"about_ca_system_score_codex":0.0007596659,"about_ca_system_score_gemma":0.001273039,"threshold_uncertainty_score":0.9999361},"labels":[],"label_agreement":null},{"id":"W3119365618","doi":"10.1007/s00330-020-07501-5","title":"The Lisbon Agreement on Femoroacetabular Impingement Imaging—part 3: imaging techniques","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Femoroacetabular impingement; Medicine; Medical physics; Neuroradiology; Delphi method; Evidence-based medicine; Sports medicine; Radiology; Physical therapy; Artificial intelligence; Alternative medicine; Computer science; Neurology; Pathology","score_opus":0.013240635361913108,"score_gpt":0.26639364877980687,"score_spread":0.25315301341789376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119365618","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19073606,0.01933532,0.00069216295,0.04251274,0.0014907396,0.0012052509,0.000013933726,0.00047289117,0.7435409],"genre_scores_gemma":[0.97544783,0.0020031105,0.0010247587,0.00888478,0.00063849724,0.000041687985,0.000119265445,0.00008382924,0.011756246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984667,0.00034887568,0.00026624848,0.000388732,0.00015375027,0.00037571744],"domain_scores_gemma":[0.9991223,0.000054732747,0.00007798099,0.0005774338,0.00007143916,0.00009611257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004142336,0.0001889091,0.00022903536,0.000051222785,0.0002364788,0.00003613339,0.00012461797,0.00001659102,0.00017549156],"category_scores_gemma":[0.00008090175,0.00012727818,0.000112123016,0.00009494173,0.000119885925,0.000025778674,0.00010498597,0.00018416689,0.0003526392],"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":[0.00031081945,0.0010148552,0.1369545,0.000052628187,0.00062592415,0.011095486,0.0007914938,0.000006149132,0.009840105,0.003683106,0.240614,0.59501094],"study_design_scores_gemma":[0.0013849974,0.0002634576,0.037269514,0.000088758,0.00011683713,0.00065660715,0.000264712,0.00005454136,0.0045112274,0.00011783924,0.9550949,0.0001766377],"about_ca_topic_score_codex":0.0000069943894,"about_ca_topic_score_gemma":0.0000036358012,"teacher_disagreement_score":0.7847118,"about_ca_system_score_codex":0.00008951554,"about_ca_system_score_gemma":0.00004439102,"threshold_uncertainty_score":0.5190253},"labels":[],"label_agreement":null},{"id":"W3120237595","doi":"10.1007/s00330-020-07455-8","title":"Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","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":"Engineering and Physical Sciences Research Council; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; UK Dementia Research Institute; IXICO; H. Lundbeck A/S; Servier; Eisai; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Genentech; University of Oxford; University of Southern California; Wellcome Trust; University College London; Avid Radiopharmaceuticals; Guarantors of Brain; Wolfson Foundation; Brain Research Trust; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Medical Research Council; Meso Scale Diagnostics; Teva Pharmaceutical Industries; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; National Institutes of Health; Rosetrees Trust; Alzheimer's Disease Neuroimaging Initiative; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuroradiology; Medicine; Inter-rater reliability; Dementia; Cronbach's alpha; Frontotemporal dementia; Gold standard (test); Diagnostic accuracy; Radiology; Population; Normative; Percentile; Nuclear medicine; Neurology; Audiology; Psychology; Disease; Psychometrics; Internal medicine; Psychiatry; Clinical psychology; Developmental psychology; Rating scale","score_opus":0.050871949429924804,"score_gpt":0.422096938968211,"score_spread":0.3712249895382862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120237595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992003,0.0004062942,0.002718757,0.00030980492,0.00057168107,0.0009478547,0.0000047617254,0.00017826675,0.0028595855],"genre_scores_gemma":[0.99646497,0.00017343138,0.0016868298,0.0006254222,0.00008052868,0.000044427565,0.00021812692,0.00003945087,0.0006668393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99413955,0.0033474907,0.0011066431,0.0007289741,0.00024730893,0.00043005476],"domain_scores_gemma":[0.9976721,0.0011893422,0.00023296107,0.0004025177,0.00032720203,0.00017587274],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0027570701,0.00019728522,0.0005265014,0.00024162496,0.000061299346,0.000038271817,0.00011029423,0.00006516695,0.0006156562],"category_scores_gemma":[0.009933093,0.0001806463,0.00012709992,0.0004059432,0.00015670272,0.00012779926,0.00021367069,0.00047182472,0.00041915278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002483755,0.002602367,0.9434409,0.000031894284,0.000461763,0.044242427,0.0009684107,0.0000074539407,0.0005965335,0.000006722047,0.0031134344,0.0042796964],"study_design_scores_gemma":[0.0041099736,0.0029821713,0.9857026,0.000077916535,0.00022039578,0.0009899363,0.0016996231,0.0030629695,0.00011987608,0.000007262691,0.0008701613,0.00015713822],"about_ca_topic_score_codex":0.000020280278,"about_ca_topic_score_gemma":0.00006298924,"teacher_disagreement_score":0.04325249,"about_ca_system_score_codex":0.000057898214,"about_ca_system_score_gemma":0.000239957,"threshold_uncertainty_score":0.99840665},"labels":[],"label_agreement":null},{"id":"W3120814177","doi":"10.1007/s00330-020-07432-1","title":"The Lisbon Agreement on femoroacetabular impingement imaging—part 2: general issues, parameters, and reporting","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Medicine; Femoroacetabular impingement; Neuroradiology; Gold standard (test); Medical physics; Delphi method; Medical imaging; Evidence-based medicine; Radiology; Alternative medicine; Pathology; Artificial intelligence","score_opus":0.037434121944779394,"score_gpt":0.30328798770125653,"score_spread":0.2658538657564771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120814177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95104265,0.011187587,0.00003396695,0.008816265,0.00045077832,0.00027501857,0.000002600046,0.0000443134,0.028146805],"genre_scores_gemma":[0.9702081,0.003102891,0.0021186287,0.004515973,0.0005081048,0.00001864418,0.000115245406,0.000059663187,0.019352745],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836797,0.0003185983,0.0004944121,0.00038647998,0.00012446014,0.0003080741],"domain_scores_gemma":[0.99911517,0.000044968172,0.0002630682,0.00043317804,0.000044049026,0.00009957975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062049617,0.00015672273,0.0002738917,0.000028678514,0.00020289829,0.000035852543,0.000056961184,0.000019523466,0.00005307743],"category_scores_gemma":[0.00029828286,0.00010410202,0.00007475334,0.00005865666,0.00009671715,0.00001749026,0.00008377676,0.00014007067,0.00007515388],"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":[0.00043132203,0.0008295384,0.50696486,0.00009095124,0.0014660276,0.027120814,0.001853553,0.00008641666,0.0070416904,0.003068914,0.14609668,0.30494922],"study_design_scores_gemma":[0.002985842,0.0007004255,0.22552738,0.00010357051,0.00023281215,0.002262871,0.0004050405,0.0003034418,0.0018400314,0.00014158561,0.76522976,0.00026722622],"about_ca_topic_score_codex":0.000018625788,"about_ca_topic_score_gemma":0.0000060520056,"teacher_disagreement_score":0.6191331,"about_ca_system_score_codex":0.00004201246,"about_ca_system_score_gemma":0.000028213142,"threshold_uncertainty_score":0.42451572},"labels":[],"label_agreement":null},{"id":"W3123341179","doi":"10.1007/s00330-021-07695-2","title":"Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Office of AIDS Research; National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; Center for AIDS Research, University of Washington; Harvard University Center for AIDS Research; National Institutes of Health; Harvard University; Nvidia; American Heart Association","keywords":"Medicine; Mace; Internal medicine; Coronary artery disease; Cardiology; Myocardial infarction; Chest pain; Prospective cohort study; Radiology","score_opus":0.014503714509498802,"score_gpt":0.19476539935676326,"score_spread":0.18026168484726446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123341179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341184,0.002656717,0.00019228905,0.0006477282,0.0005697738,0.0007560902,0.000033620316,0.000055884706,0.0016760695],"genre_scores_gemma":[0.99646574,0.000025789197,0.0003211175,0.0013707221,0.00084137433,0.00002157559,0.00043619366,0.00005344452,0.00046406433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686944,0.0018646795,0.00028217793,0.00044438892,0.00023337264,0.00030596167],"domain_scores_gemma":[0.99860144,0.00032731725,0.00005473097,0.0007537181,0.00013325829,0.00012953737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007058486,0.0001851362,0.0005388669,0.00004326903,0.00007189635,0.00001540734,0.00011617323,0.00005740595,0.000021679603],"category_scores_gemma":[0.0013853771,0.00012676473,0.0002015193,0.00018548303,0.000096251715,0.000037900347,0.00008890446,0.0003389201,0.0001213803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035757255,0.00047826962,0.97961444,0.00002435344,0.00051046413,0.00059079664,0.00072843715,0.0002001524,0.000049412276,0.0000038500602,0.012981372,0.0012427195],"study_design_scores_gemma":[0.03374776,0.00051209336,0.8584758,0.00010689336,0.00020235842,0.000024812458,0.0000639504,0.000031005562,0.000022712427,0.000009308114,0.106673606,0.00012972574],"about_ca_topic_score_codex":0.00009211754,"about_ca_topic_score_gemma":0.000014082241,"teacher_disagreement_score":0.12113867,"about_ca_system_score_codex":0.000066056,"about_ca_system_score_gemma":0.00016871236,"threshold_uncertainty_score":0.51693153},"labels":[],"label_agreement":null},{"id":"W3124768173","doi":"10.1007/s00330-021-07737-9","title":"Non-contrast MRI can accurately characterize adnexal masses: a retrospective study","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Ovarian cancer diagnosis and treatment","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 Health Centre","funders":"NIHR Cambridge Biomedical Research Centre; National Institute for Health and Care Research; Department of Health and Social Care; Cancer Research UK; Mark Foundation For Cancer Research","keywords":"Medicine; Neuroradiology; Adnexal mass; Radiology; Confidence interval; Receiver operating characteristic; Malignancy; Contrast (vision); Histopathology; Retrospective cohort study; Magnetic resonance imaging; Repeatability; Likelihood ratios in diagnostic testing; Nuclear medicine; Diagnostic accuracy; Surgery; Pathology; Internal medicine; Statistics; Neurology; Mathematics","score_opus":0.030719551269267193,"score_gpt":0.2867598334390199,"score_spread":0.2560402821697527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124768173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721973,0.0002733363,0.000040090137,0.003797465,0.0006796901,0.0006158421,0.00006709345,0.00007685946,0.022252353],"genre_scores_gemma":[0.9958746,0.0002008202,0.00019994949,0.0014998075,0.00081082946,0.000045904268,0.00011937451,0.000055250424,0.0011934738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981915,0.0003477021,0.00032186054,0.00063666905,0.00013530489,0.00036700827],"domain_scores_gemma":[0.9989852,0.000047469468,0.000110790745,0.0005276564,0.00013554226,0.00019339619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024574288,0.00023719127,0.0005910677,0.00006460746,0.000090197966,0.000034634326,0.00010893565,0.0000472843,0.00065114634],"category_scores_gemma":[0.000088525274,0.00019875297,0.000120445584,0.00019288254,0.000069797774,0.00004383812,0.00008149677,0.00026600066,0.00024658244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002915527,0.0018222947,0.9591243,0.0000224522,0.0011205984,0.02118694,0.0022923714,0.0000016869193,0.004312417,0.00025167823,0.006557622,0.003016087],"study_design_scores_gemma":[0.0048925,0.0017457561,0.98191875,0.000039118768,0.00024010072,0.0008968771,0.000589469,0.0000072076737,0.00049404555,0.0000103697585,0.00899625,0.00016957335],"about_ca_topic_score_codex":0.000049424205,"about_ca_topic_score_gemma":0.00008501566,"teacher_disagreement_score":0.02367732,"about_ca_system_score_codex":0.00023587518,"about_ca_system_score_gemma":0.00020164285,"threshold_uncertainty_score":0.8104911},"labels":[],"label_agreement":null},{"id":"W3128177984","doi":"10.1007/s00330-021-07692-5","title":"CT perfusion in peripheral arterial disease—hemodynamic differences before and after revascularisation","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Peripheral Artery Disease Management","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 Toronto","funders":"Universität Zürich","keywords":"Medicine; Hemodynamics; Perfusion; Peripheral; Blood flow; Ankle; Stenosis; Interventional radiology; Plethysmograph; Neuroradiology; Occlusion; Perfusion scanning; Nuclear medicine; Radiology; Ultrasound; Cardiology; Internal medicine; Surgery; Neurology","score_opus":0.007071811401317381,"score_gpt":0.21925906721760516,"score_spread":0.21218725581628778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128177984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960287,0.00050245516,0.00009333217,0.0014090132,0.00021740595,0.00020868795,0.000007816625,0.00004059837,0.0014919481],"genre_scores_gemma":[0.9975942,0.00011795438,0.00018621553,0.000983691,0.00026195752,0.00001750354,0.00012016831,0.000021638189,0.0006966961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986567,0.00040805223,0.00021614305,0.00039627415,0.000109077715,0.00021379058],"domain_scores_gemma":[0.9995206,0.000009965665,0.000033033244,0.0002627873,0.000022900427,0.00015074288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013610315,0.00014644755,0.00024593115,0.00006288123,0.00004004294,0.000025508434,0.000052476553,0.000017553628,0.00053386163],"category_scores_gemma":[0.000048411228,0.00012475555,0.000068906884,0.00007847914,0.000098168486,0.000061343184,0.00010771288,0.00011203953,0.00003307038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006398138,0.00020451509,0.96087235,0.00013568842,0.00005352735,0.0064558503,0.0007416937,0.000012605947,0.0036036705,0.00015243542,0.00024381616,0.026884018],"study_design_scores_gemma":[0.0013971565,0.00011366852,0.9941756,0.000073776886,0.00006242662,0.0001682221,0.000077150915,0.0018670496,0.0000034687107,0.00012006003,0.0018265237,0.00011490512],"about_ca_topic_score_codex":0.0000055965156,"about_ca_topic_score_gemma":0.000057081845,"teacher_disagreement_score":0.033303227,"about_ca_system_score_codex":0.000072216026,"about_ca_system_score_gemma":0.000034862325,"threshold_uncertainty_score":0.5845411},"labels":[],"label_agreement":null},{"id":"W3136664331","doi":"10.1007/s00330-021-07781-5","title":"An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":231,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Interventional radiology; Medicine; Logistic regression; Radiology; Neuroradiology; Family medicine; Internal medicine; Psychiatry","score_opus":0.13567613301464046,"score_gpt":0.43838711446550777,"score_spread":0.3027109814508673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136664331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930906,0.002410879,0.000048281956,0.0012755335,0.0010218582,0.0002444983,0.000014338129,0.000018927667,0.0018750551],"genre_scores_gemma":[0.99267787,0.0051331716,0.00019518043,0.0010464098,0.0003516952,0.000009683618,0.0002905916,0.0000233307,0.00027209564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99524456,0.0028891184,0.0007820125,0.0006575905,0.00007537503,0.00035132837],"domain_scores_gemma":[0.9984457,0.0006981728,0.00015349695,0.00040322114,0.00015346575,0.00014597613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022896559,0.00018077902,0.00056513253,0.0003466256,0.00004327534,0.000009441226,0.00015673389,0.00018226173,0.000082649836],"category_scores_gemma":[0.0017965625,0.00017535719,0.00003152001,0.00022304148,0.00040038498,0.000079509824,0.000075933196,0.00044611323,0.000024510078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009649703,0.00027457302,0.9823462,0.00003961658,0.000041258438,0.00025044492,0.0011303367,0.000047633406,0.0018588078,0.0005702042,0.0027587363,0.009717224],"study_design_scores_gemma":[0.00055248605,0.0011508132,0.9938199,0.0000946714,0.000010300771,0.0008159365,0.00019418818,0.00028970608,0.00050096546,0.00017365982,0.0022662522,0.00013112878],"about_ca_topic_score_codex":0.0006164661,"about_ca_topic_score_gemma":0.0016641648,"teacher_disagreement_score":0.011473698,"about_ca_system_score_codex":0.00012834709,"about_ca_system_score_gemma":0.00018509621,"threshold_uncertainty_score":0.7150858},"labels":[],"label_agreement":null},{"id":"W3136833038","doi":"10.1007/s00330-021-07851-8","title":"Long-term inter-platform reproducibility, bias, and linearity of commercial PDFF MRI methods for fat quantification: a multi-center, multi-vendor phantom study","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Reproducibility; Imaging phantom; Medicine; Coefficient of variation; Nuclear medicine; Linearity; Biomedical engineering; Statistics; Mathematics","score_opus":0.23882503404001723,"score_gpt":0.47820224788780236,"score_spread":0.23937721384778513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136833038","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":[0.27287063,0.00050609466,0.7243842,0.00047181232,0.00018311954,0.0013534735,0.000053970612,0.000094708215,0.00008200107],"genre_scores_gemma":[0.5653116,0.00022567392,0.43337402,0.00016520798,0.00018424394,0.00006196426,0.00019667936,0.00003718957,0.00044342715],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99767834,0.0004699631,0.0006250325,0.0009541595,0.000055958622,0.00021655738],"domain_scores_gemma":[0.9977744,0.00026067754,0.00023453566,0.0013533222,0.0002753799,0.00010167395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017058508,0.00018192708,0.0005390241,0.000074949865,0.00009795288,0.000011792794,0.00016926549,0.000061885876,0.000020736565],"category_scores_gemma":[0.000967446,0.000162631,0.00011867139,0.00015801731,0.000217272,0.00005324994,0.00022076102,0.00023223979,0.0000055486344],"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":[0.0010549354,0.015770325,0.4275268,0.0005108924,0.00031794296,0.0001622214,0.002753435,0.000009822725,0.11154335,0.0009162764,0.0016114339,0.43782258],"study_design_scores_gemma":[0.018811101,0.0026004934,0.85994834,0.0001961733,0.00046680035,0.0011162643,0.00071458326,0.004107292,0.08087529,0.00014062706,0.030432414,0.0005906068],"about_ca_topic_score_codex":0.000011371715,"about_ca_topic_score_gemma":0.00004224325,"teacher_disagreement_score":0.43723196,"about_ca_system_score_codex":0.000034032553,"about_ca_system_score_gemma":0.000030902967,"threshold_uncertainty_score":0.66318995},"labels":[],"label_agreement":null},{"id":"W3140709533","doi":"10.1007/s00330-021-07857-2","title":"Assessment of myocardial deformation with CMR: a comparison with ultrasound speckle tracking","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca","keywords":"Medicine; Ventricle; Speckle tracking echocardiography; Cardiology; Reproducibility; Internal medicine; Feature tracking; Ultrasound; Strain (injury); Cardiac magnetic resonance; Athletes; Neuroradiology; Magnetic resonance imaging; Cardiac magnetic resonance imaging; Radiology; Heart failure; Ejection fraction; Physical therapy","score_opus":0.012248584344590713,"score_gpt":0.2688641304922584,"score_spread":0.2566155461476677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140709533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434602,0.00048837386,0.010598111,0.000070548216,0.000112735135,0.00028590468,0.0000037890964,0.000053839463,0.044926442],"genre_scores_gemma":[0.99201554,0.0000454158,0.007369958,0.00011006762,0.00023515994,0.0000042537936,0.000112671994,0.000039904186,0.000067045556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849766,0.00049042003,0.00027516525,0.00026599673,0.00025681447,0.00021394633],"domain_scores_gemma":[0.99900126,0.00013168962,0.0001322677,0.0004686467,0.0001771182,0.00008898693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000567123,0.00015312838,0.0006384906,0.00007819247,0.000043243585,0.000015675334,0.00006875903,0.000038137867,0.000044979308],"category_scores_gemma":[0.000093834235,0.00011258373,0.00015712084,0.00019029937,0.00013582132,0.000075767224,0.000027668279,0.0002392905,0.000021120115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015655553,0.0007624998,0.8575589,0.0005752471,0.0034680676,0.0056425957,0.0019031875,0.0085326,0.09545556,0.0012008463,0.0023363698,0.02099859],"study_design_scores_gemma":[0.0035090535,0.0011289427,0.97818166,0.00017541136,0.00053173676,0.008098037,0.0003161595,0.00018612963,0.0051779533,0.0000035980343,0.0025246954,0.00016663734],"about_ca_topic_score_codex":0.000007433944,"about_ca_topic_score_gemma":0.000009284984,"teacher_disagreement_score":0.12062276,"about_ca_system_score_codex":0.00007482819,"about_ca_system_score_gemma":0.0001353195,"threshold_uncertainty_score":0.45910314},"labels":[],"label_agreement":null},{"id":"W3148711480","doi":"10.1007/s00330-021-07855-4","title":"Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone ‘nodule in nodule’ and ‘homogeneous mildly hypointense area between nodules’ criteria: MRI-radical prostatectomy histopathological evaluation","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Nodule (geology); Neuroradiology; Confidence interval; Prostatectomy; Prostate cancer; Magnetic resonance imaging; Radiology; Prostate; Nuclear medicine; Cancer; Internal medicine; Neurology","score_opus":0.021942449341967797,"score_gpt":0.2773746147232236,"score_spread":0.2554321653812558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148711480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98514366,0.010634635,0.000097630604,0.00222555,0.00015961556,0.0011244795,0.00028174245,0.00003544922,0.00029726065],"genre_scores_gemma":[0.9911924,0.0071698413,0.0007217725,0.00029967396,0.0000978743,0.00011087876,0.00030593525,0.000034028453,0.000067582776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99661905,0.0011912182,0.0006884138,0.0008160193,0.000274397,0.00041090904],"domain_scores_gemma":[0.99899757,0.00011395143,0.00016700983,0.00032780404,0.00023965602,0.000154004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009331415,0.00028124618,0.00068746705,0.00021544026,0.000050172057,0.000010733531,0.000085601605,0.00012867007,0.00021670746],"category_scores_gemma":[0.00014932555,0.00024594346,0.000084733976,0.00030243065,0.00032222716,0.00008453732,0.00006591929,0.00032131065,0.000010524552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033783317,0.0016188755,0.8599702,0.0013707709,0.00016365355,0.010741526,0.005568856,0.00033819044,0.064289935,0.000043640266,0.00072615774,0.05178986],"study_design_scores_gemma":[0.008912298,0.0015531181,0.97528714,0.0009239443,0.00030497066,0.00080492574,0.00012751225,0.001394758,0.009654601,0.00007982455,0.0006915192,0.0002653747],"about_ca_topic_score_codex":0.00007092497,"about_ca_topic_score_gemma":0.000041125935,"teacher_disagreement_score":0.11531695,"about_ca_system_score_codex":0.00046822775,"about_ca_system_score_gemma":0.0001856198,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W3154475510","doi":"10.1007/s00330-021-07867-0","title":"Tract metastasis in patients with long-term pleural catheter—computed tomography diagnosis and longitudinal assessment","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Ottawa Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Lesion; Catheter; Surgery","score_opus":0.015545988497109876,"score_gpt":0.256749914925392,"score_spread":0.24120392642828214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154475510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985213,0.0006085538,0.000035812325,0.0001567399,0.000053917607,0.00015607737,0.000040877992,0.000019503557,0.0004072055],"genre_scores_gemma":[0.99837166,0.00007338279,0.00071354565,0.0002880446,0.000050884046,0.000010265176,0.00044595977,0.000018985776,0.00002726493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901485,0.00020578147,0.00017044053,0.00031123462,0.00012301587,0.00017469758],"domain_scores_gemma":[0.99960923,0.000056402743,0.000046665653,0.00015041052,0.000019238387,0.00011805179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006992405,0.00013579834,0.00023040135,0.00008628639,0.000038773767,0.000011461441,0.000043376927,0.000019647161,0.0001503392],"category_scores_gemma":[0.000010758133,0.00010419929,0.000059480066,0.000117572214,0.00010513919,0.000056195368,0.00005273077,0.00011143061,0.000010779129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015390651,0.0010975142,0.99289924,0.000030437273,0.00011527041,0.0007554268,0.0000318377,0.000013708303,0.000019893136,0.00001184378,0.00007959673,0.0047913496],"study_design_scores_gemma":[0.0020434726,0.00085816777,0.99653155,0.00005036117,0.00013494155,0.00011084992,0.0000076251486,0.00000797101,0.00002945357,0.000002822712,0.00010936251,0.00011341188],"about_ca_topic_score_codex":0.0000047837416,"about_ca_topic_score_gemma":0.0000065352133,"teacher_disagreement_score":0.004677938,"about_ca_system_score_codex":0.000039868864,"about_ca_system_score_gemma":0.000017395803,"threshold_uncertainty_score":0.42491236},"labels":[],"label_agreement":null},{"id":"W3154549055","doi":"10.1007/s00330-021-07945-3","title":"Diagnostic performance and radiation dose of reduced vs. standard scan range abdominopelvic CT for evaluation of appendicitis","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Neuroradiology; Nuclear medicine; Appendicitis; Interventional radiology; Imaging phantom; Radiology; Histopathology; Surgery; Neurology","score_opus":0.02392090399267,"score_gpt":0.29100806760789316,"score_spread":0.26708716361522317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154549055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898891,0.003281001,0.00022229405,0.00044121742,0.00021675635,0.0009291288,0.000045497512,0.000014092456,0.0049609453],"genre_scores_gemma":[0.995598,0.003352099,0.0004224143,0.00018359393,0.00013330912,0.000041509134,0.00016701042,0.000025462918,0.00007658468],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985516,0.00036541163,0.00040790875,0.00027112168,0.00022877881,0.00017514644],"domain_scores_gemma":[0.9989243,0.0003134987,0.00022632763,0.0002388359,0.00022998542,0.00006703678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013243508,0.00011678917,0.0004275991,0.00011640546,0.000045106684,0.000005247079,0.00006059191,0.000023760318,0.0001803498],"category_scores_gemma":[0.00096512167,0.0001110067,0.00006734928,0.00011112308,0.00012422504,0.000050953902,0.000046570873,0.00006513727,0.0000066741914],"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":[0.0014175096,0.00036549201,0.1221696,0.0014290757,0.000520586,0.00019345996,0.0014531773,0.00042940868,0.013764496,0.0018831166,0.025955236,0.8304188],"study_design_scores_gemma":[0.0114418045,0.0016907224,0.9619145,0.0003373864,0.0007118224,0.00021967616,0.00020661837,0.0014724209,0.012738574,0.00006230722,0.009057951,0.00014625755],"about_ca_topic_score_codex":0.000011050365,"about_ca_topic_score_gemma":0.00000413572,"teacher_disagreement_score":0.83974487,"about_ca_system_score_codex":0.00006814414,"about_ca_system_score_gemma":0.0000980756,"threshold_uncertainty_score":0.45267218},"labels":[],"label_agreement":null},{"id":"W3156827811","doi":"10.1007/s00330-021-07888-9","title":"Ultrasound-guided transthoracic needle biopsy of the lung: sensitivity and safety variables","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Pneumothorax; Ultrasound; Interventional radiology; Radiology; Neuroradiology; Logistic regression; Univariate analysis; Nuclear medicine; Surgery; Multivariate analysis; Internal medicine","score_opus":0.014192670961979181,"score_gpt":0.2646437987115947,"score_spread":0.25045112774961553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156827811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743122,0.002339981,0.0002606855,0.0022919923,0.00026693745,0.0001966789,0.00003686926,0.000026857084,0.020267837],"genre_scores_gemma":[0.9976695,0.000652488,0.0005166155,0.0005794301,0.000113142494,0.000002158361,0.000022990946,0.000018317412,0.0004253525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871933,0.0006094162,0.00020417765,0.0002417592,0.000071788876,0.0001535136],"domain_scores_gemma":[0.9992262,0.00025780956,0.000060360493,0.0003296651,0.000060526694,0.000065397006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034512498,0.0001111938,0.0002887798,0.000021484435,0.000067448156,0.0000056493855,0.000037888265,0.000037166057,0.00008241661],"category_scores_gemma":[0.00011907991,0.000072383504,0.00008777281,0.00013277604,0.00016567756,0.000017984039,0.00003239756,0.00010612802,0.0000062499207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003108908,0.0006083548,0.8201441,0.00039874,0.0010399553,0.0018958331,0.0020156237,0.000103447266,0.14186312,0.0050266995,0.022938855,0.0036543806],"study_design_scores_gemma":[0.0017211267,0.00010608843,0.9659115,0.00013714119,0.0003673523,0.011392332,0.00009809662,0.000040586157,0.014156285,0.000035974535,0.0059248647,0.000108639106],"about_ca_topic_score_codex":0.000029608256,"about_ca_topic_score_gemma":0.000009067317,"teacher_disagreement_score":0.14576742,"about_ca_system_score_codex":0.00005291652,"about_ca_system_score_gemma":0.0000769254,"threshold_uncertainty_score":0.29517135},"labels":[],"label_agreement":null},{"id":"W3157370202","doi":"10.1007/s00330-021-07899-6","title":"Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable pancreatic cancer","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary; Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"","keywords":"Medicine; FOLFIRINOX; Gemcitabine; Hazard ratio; Internal medicine; Proportional hazards model; Chemotherapy; Pancreatic cancer; Oncology; Response Evaluation Criteria in Solid Tumors; Body mass index; Cancer; Gastroenterology; Confidence interval; Phases of clinical research; Oxaliplatin","score_opus":0.03198190874782039,"score_gpt":0.3129075946291594,"score_spread":0.28092568588133904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157370202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596363,0.00079761096,0.000055316425,0.0015098312,0.00016940005,0.0006126946,0.000009417719,0.00001825296,0.0008638474],"genre_scores_gemma":[0.9975609,0.00036367617,0.00073507434,0.0009854381,0.00011408829,0.000047506957,0.00007183443,0.000026328664,0.00009512494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880654,0.00038352894,0.00028398292,0.00020631863,0.00007917156,0.0002404904],"domain_scores_gemma":[0.99949235,0.00013831731,0.000090184396,0.00012068781,0.0001061484,0.000052307685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041075007,0.00008528832,0.00033441972,0.00014388892,0.00002649478,0.0000039429024,0.000044845146,0.000026658163,0.000044091114],"category_scores_gemma":[0.00015121124,0.00008586947,0.000028572642,0.00019820665,0.00003377465,0.00002341076,0.000011959502,0.00013941432,0.000002953299],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004348682,0.00026161087,0.9798568,0.00043308645,0.000020260122,0.000043244876,0.0005791788,0.000012245126,0.015850237,0.0000711279,0.00024052602,0.0021967974],"study_design_scores_gemma":[0.0055098627,0.0004975443,0.9895372,0.0008655547,0.000017369659,0.000014819163,0.000031985805,0.00019181082,0.0026688937,0.000043017168,0.0005500211,0.00007195033],"about_ca_topic_score_codex":0.00006194885,"about_ca_topic_score_gemma":0.00007828195,"teacher_disagreement_score":0.013181343,"about_ca_system_score_codex":0.00010654563,"about_ca_system_score_gemma":0.000067655514,"threshold_uncertainty_score":0.35016552},"labels":[],"label_agreement":null},{"id":"W3159921507","doi":"10.1007/s00330-021-07964-0","title":"The added value of contrast-enhanced ultrasound in evaluation of indeterminate small solid renal masses and risk stratification of cystic renal lesions","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Neuroradiology; Contrast-enhanced ultrasound; Radiology; Ultrasound; Interventional radiology; Malignancy; Indeterminate; Nuclear medicine; Pathology; Neurology","score_opus":0.03560297354447731,"score_gpt":0.29248708451436645,"score_spread":0.25688411096988917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159921507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494725,0.0015983762,0.00047516948,0.000036355577,0.00005016506,0.00036019777,0.00002194937,0.000005062328,0.0025054575],"genre_scores_gemma":[0.9982957,0.00063170714,0.0008944001,0.0000068160934,0.00003206327,0.000010110762,0.000058050784,0.000013009817,0.000058097565],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968079,0.0020580373,0.00058172643,0.0002267949,0.00018765955,0.0001378861],"domain_scores_gemma":[0.9978356,0.0010511671,0.0004172995,0.0003235754,0.00032793518,0.000044453915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593536,0.000108897344,0.0003447234,0.000078353565,0.00003812148,0.000004108597,0.00007201072,0.00004612451,0.0000226229],"category_scores_gemma":[0.0017298559,0.0000784998,0.000056267243,0.00013434612,0.00025602942,0.000020642887,0.000023037293,0.00014069765,0.0000013916207],"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":[0.00034695832,0.00013175672,0.013190808,0.000049294365,0.00013869841,0.00003884855,0.0006132691,0.000545708,0.97077453,0.0002796168,0.000015189471,0.01387532],"study_design_scores_gemma":[0.0018964513,0.0005531236,0.6713218,0.00010097898,0.0003595043,0.00015700377,0.00023212838,0.0007044237,0.32433638,0.000275436,0.000013572939,0.0000492208],"about_ca_topic_score_codex":0.000024473662,"about_ca_topic_score_gemma":0.00006188025,"teacher_disagreement_score":0.658131,"about_ca_system_score_codex":0.00004751379,"about_ca_system_score_gemma":0.00019937902,"threshold_uncertainty_score":0.32011288},"labels":[],"label_agreement":null},{"id":"W3160780104","doi":"10.1007/s00330-021-07782-4","title":"An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":135,"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":"Subspecialty; Medicine; Interventional radiology; Radiology; Radiological weapon; Medical education; Family medicine","score_opus":0.11656424446732819,"score_gpt":0.46834613395296126,"score_spread":0.35178188948563305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160780104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99049,0.0010878737,0.00009237631,0.0062203,0.0011788838,0.00039208267,0.000017514612,0.00002449224,0.0004964809],"genre_scores_gemma":[0.99144846,0.0015937318,0.0006051216,0.004663438,0.00052012183,0.000048919515,0.00095789536,0.000023691415,0.00013859151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961265,0.0021217228,0.0006914497,0.0006477619,0.00008493776,0.0003276805],"domain_scores_gemma":[0.99875236,0.00046742198,0.000107917804,0.00030084298,0.00017991716,0.00019152848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011420992,0.00017071552,0.0003580393,0.00048203373,0.00007659555,0.000026179976,0.00012547089,0.00011825627,0.000105803876],"category_scores_gemma":[0.0012350807,0.00017664181,0.000021699056,0.0002837463,0.00015307995,0.00012856552,0.000042868916,0.0002852015,0.000041788684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028642485,0.00017479411,0.9316422,0.00001308938,0.000019362109,0.00008667781,0.0031171273,0.000042059353,0.0016382451,0.00091011333,0.006094199,0.055975724],"study_design_scores_gemma":[0.0002944475,0.0005786645,0.99180984,0.000046044006,0.000007535886,0.0006081146,0.0035539854,0.000043649998,0.0003871331,0.00043185553,0.0020933265,0.00014542737],"about_ca_topic_score_codex":0.0011648543,"about_ca_topic_score_gemma":0.0030957484,"teacher_disagreement_score":0.060167633,"about_ca_system_score_codex":0.0001902995,"about_ca_system_score_gemma":0.00033732073,"threshold_uncertainty_score":0.72032446},"labels":[],"label_agreement":null},{"id":"W3161520686","doi":"10.1007/s00330-021-08021-6","title":"ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical 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":"Sinai Health System; University of Toronto; University Health Network","funders":"Berlin Institute of Health","keywords":"Medicine; Neuroradiology; Magnetic resonance imaging; Prostate cancer; Interventional radiology; Radiology; Position (finance); Ultrasound; Medical physics; Prostate; Position statement; Cancer; Nuclear medicine; Neurology; Internal medicine","score_opus":0.027112000941605315,"score_gpt":0.3238093566749438,"score_spread":0.2966973557333385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161520686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8877367,0.03047761,0.07077385,0.008680712,0.0009456163,0.0005796873,0.000026319363,0.000071551935,0.0007079783],"genre_scores_gemma":[0.93240577,0.0032078524,0.061263435,0.0022565322,0.0005710309,0.000034555174,0.000050789768,0.0000716317,0.00013838586],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99829316,0.00030927802,0.00054309407,0.0004034028,0.00013649139,0.000314556],"domain_scores_gemma":[0.9990256,0.0002983208,0.00015343772,0.000217782,0.00021880116,0.000086104075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007192958,0.00014824605,0.0003550548,0.00009742845,0.000115777846,0.000020602387,0.00010773212,0.00003567747,0.000088934175],"category_scores_gemma":[0.0010315722,0.00013943676,0.0000960359,0.00021554348,0.00016276819,0.00006806493,0.00007488921,0.0002356216,0.000005368608],"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":[0.00021287215,0.00006400343,0.04456602,0.0001520287,0.000022079406,0.0002972418,0.0006280638,0.0006490833,0.05119042,0.0010847953,0.00042471616,0.9007087],"study_design_scores_gemma":[0.0041683842,0.0014849089,0.36290893,0.008706969,0.00091258774,0.0048267487,0.00105676,0.32489845,0.14122711,0.010079193,0.13791409,0.0018158656],"about_ca_topic_score_codex":0.000030719395,"about_ca_topic_score_gemma":0.00000386644,"teacher_disagreement_score":0.8988928,"about_ca_system_score_codex":0.00009362296,"about_ca_system_score_gemma":0.00017644686,"threshold_uncertainty_score":0.5686066},"labels":[],"label_agreement":null},{"id":"W3161957076","doi":"10.1007/s00330-021-08025-2","title":"Non-contrast MRI of synovitis in the knee using quantitative DESS","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Musculoskeletal synovial abnormalities and treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; General Electric","keywords":"Synovitis; Medicine; Neuroradiology; Confidence interval; Radiology; Nuclear medicine; Magnetic resonance imaging; Internal medicine; Neurology; Arthritis","score_opus":0.0292655118374539,"score_gpt":0.29567075955591693,"score_spread":0.266405247718463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161957076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96847737,0.0006016919,0.00041350818,0.00030499458,0.0001415378,0.00017177158,0.000012563161,0.0000073719193,0.029869165],"genre_scores_gemma":[0.99806994,0.00005504613,0.0011129286,0.00041409224,0.00008760118,0.0000027472997,0.00003991419,0.00001248287,0.00020523713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988755,0.00040816833,0.0002557485,0.00017504257,0.00008405566,0.00020147719],"domain_scores_gemma":[0.9994873,0.00013556493,0.00007166165,0.00021612234,0.000051393607,0.000037972663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028102577,0.0001033788,0.00030001925,0.000048597543,0.000038289003,0.0000054238762,0.000072683935,0.00002933361,0.00011563319],"category_scores_gemma":[0.00007403553,0.00007010799,0.00009034135,0.00016541273,0.00013024997,0.000031680993,0.000037781527,0.00012570604,0.00001789635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014468351,0.0026703863,0.77350175,0.0010203691,0.002057219,0.03885687,0.021590656,0.0005485941,0.08394417,0.04922333,0.0030975405,0.022042273],"study_design_scores_gemma":[0.0037791769,0.0010832538,0.9848875,0.00019998045,0.00016599576,0.0025078598,0.0026007025,0.00035304777,0.0012985172,0.00015105511,0.0027948446,0.00017807695],"about_ca_topic_score_codex":0.00015752955,"about_ca_topic_score_gemma":0.000034895475,"teacher_disagreement_score":0.21138574,"about_ca_system_score_codex":0.000028953285,"about_ca_system_score_gemma":0.00005057487,"threshold_uncertainty_score":0.2858921},"labels":[],"label_agreement":null},{"id":"W3162834091","doi":"10.1007/s00330-021-08026-1","title":"Whole-body MRI versus an [18F]FDG-PET/CT-based reference standard for early response assessment and restaging of paediatric Hodgkin’s lymphoma: a prospective multicentre study","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Lymphoma 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":"University of Ottawa","funders":"Stichting Kinderen Kankervrij; Hospital for Sick Children","keywords":"Medicine; Neuroradiology; Nuclear medicine; Concordance; Radiology; Prospective cohort study; Magnetic resonance imaging; Interventional radiology; Lymphoma; Neurology; Pathology; Internal medicine","score_opus":0.02722374793128392,"score_gpt":0.32868780454063407,"score_spread":0.30146405660935016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162834091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996344,0.0005760446,0.0001235259,0.00047570025,0.00023239951,0.0013655325,0.00016634422,0.000065823464,0.000650661],"genre_scores_gemma":[0.9952982,0.00006173909,0.0040841415,0.00009471219,0.00010228969,0.00009990945,0.00009083457,0.000051724426,0.000116439005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966314,0.0015543122,0.00044298655,0.0007484132,0.00024463245,0.0003782495],"domain_scores_gemma":[0.9976956,0.0009656884,0.00020930188,0.0005888127,0.00032452887,0.00021604238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095925207,0.0002779093,0.0006245849,0.00016429475,0.00014214964,0.000036716097,0.000115018716,0.00001744235,0.000020572468],"category_scores_gemma":[0.0003807717,0.00023618512,0.00009707522,0.00021685321,0.0001278906,0.00007526119,0.00009181817,0.000107304455,0.000007347856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03196417,0.004478624,0.93520445,0.00010533143,0.0007273112,0.01744147,0.0014948461,0.00003640379,0.0026342708,0.00035147378,0.00040812689,0.0051535056],"study_design_scores_gemma":[0.042539746,0.012120668,0.9398261,0.000055176915,0.00055883854,0.00029382564,0.0018180255,0.0001940634,0.00081743824,0.000008500658,0.0015617455,0.00020592897],"about_ca_topic_score_codex":0.00004254628,"about_ca_topic_score_gemma":0.00003492434,"teacher_disagreement_score":0.017147643,"about_ca_system_score_codex":0.0004846809,"about_ca_system_score_gemma":0.00061560725,"threshold_uncertainty_score":0.963135},"labels":[],"label_agreement":null},{"id":"W3162838881","doi":"10.1007/s00330-021-08006-5","title":"Bosniak Classification version 2019: validation and comparison to original classification in pathologically confirmed cystic masses","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Malignancy; Neuroradiology; Confidence interval; Radiology; Interventional radiology; Receiver operating characteristic; Nuclear medicine; Pathology; Internal medicine","score_opus":0.06012419453132461,"score_gpt":0.3102759527971385,"score_spread":0.2501517582658139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162838881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849025,0.00041770015,0.0014540667,0.0020534154,0.00016992848,0.00035361364,0.0000068953805,0.000054173517,0.010587726],"genre_scores_gemma":[0.9946093,0.00013304049,0.0036996999,0.00034648902,0.00010246763,0.000014064846,0.0005040341,0.000019709774,0.00057122705],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979726,0.0008044118,0.00038094132,0.00049037294,0.0001372687,0.00021437882],"domain_scores_gemma":[0.99915,0.00016458597,0.00011437744,0.00030778832,0.000115263,0.00014798944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043102182,0.00015270627,0.0003237907,0.00014866509,0.000054580763,0.000022715198,0.00006758274,0.000078281424,0.00010289335],"category_scores_gemma":[0.00031325224,0.00013389907,0.000037422404,0.0002165403,0.00007783065,0.000047025278,0.000044365966,0.00018264989,0.00042287534],"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":[0.0006532336,0.00037513603,0.4506083,0.000057556637,0.000034257828,0.0010254222,0.00041489178,0.00006312236,0.53229415,0.0017397918,0.0051965066,0.0075376346],"study_design_scores_gemma":[0.001329114,0.0006642782,0.97807825,0.00004321484,0.000062734856,0.0005546867,0.00022706234,0.00046334634,0.0044626407,0.000027501266,0.013965909,0.00012129249],"about_ca_topic_score_codex":0.000005920317,"about_ca_topic_score_gemma":0.000003056572,"teacher_disagreement_score":0.5278315,"about_ca_system_score_codex":0.00018487693,"about_ca_system_score_gemma":0.000073775256,"threshold_uncertainty_score":0.54602456},"labels":[],"label_agreement":null},{"id":"W3164056063","doi":"10.1007/s00330-021-07999-3","title":"Is there any added value to substitute the 2D digital MLO projection for a MLO tomosynthesis projection and its synthetic view when a 2D standard digital mammography is used in a one-stop-shop immediate reading mammography screening?","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"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; Centre hospitalier universitaire de Québec","funders":"","keywords":"Tomosynthesis; Projection (relational algebra); Medicine; Digital mammography; Interventional radiology; Computer vision; Digital Breast Tomosynthesis; Radiology; Neuroradiology; Mammography; Medical physics; Artificial intelligence; Nuclear medicine; Computer science; Algorithm; Breast cancer","score_opus":0.02908252474989442,"score_gpt":0.2601974362731548,"score_spread":0.23111491152326036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164056063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729624,0.0028766152,0.0077161696,0.0045097987,0.0003493546,0.0028143758,0.00083446444,0.00028701735,0.0076498063],"genre_scores_gemma":[0.99668807,0.00029196774,0.0010678474,0.001023848,0.00029242827,0.0001629168,0.000107715874,0.000121999656,0.00024323816],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99676704,0.0002876409,0.000687694,0.0010858132,0.00036592485,0.0008059123],"domain_scores_gemma":[0.9983182,0.00040036038,0.000218751,0.0005372701,0.00023591233,0.00028948678],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008121565,0.0005056886,0.0008003296,0.0009160941,0.00025272695,0.00047687293,0.00025672742,0.00012790028,0.000029885014],"category_scores_gemma":[0.00049227604,0.00040742726,0.0005262936,0.0016156841,0.00026306938,0.00074536214,0.00013699038,0.00039739275,0.000017552564],"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":[0.008393464,0.0013936488,0.25230858,0.0016537982,0.0034768751,0.0014709028,0.020853648,0.000025911277,0.0077804434,0.001589971,0.0049205828,0.6961322],"study_design_scores_gemma":[0.03148983,0.014333081,0.4550241,0.016188059,0.0046392987,0.023916373,0.019478155,0.004368303,0.029163286,0.0060221837,0.38783342,0.0075439094],"about_ca_topic_score_codex":0.000018215982,"about_ca_topic_score_gemma":0.00001354168,"teacher_disagreement_score":0.68858826,"about_ca_system_score_codex":0.00007415318,"about_ca_system_score_gemma":0.000121076766,"threshold_uncertainty_score":0.99983776},"labels":[],"label_agreement":null},{"id":"W3165617359","doi":"10.1007/s00330-021-08019-0","title":"Comparison of Inline R2* MRI versus FerriScan for liver iron quantification in patients on chelation therapy for iron overload: preliminary results","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"U.S. Department of Veterans Affairs","keywords":"Medicine; Calibration; Receiver operating characteristic; Nuclear medicine; Magnetic resonance imaging; Neuroradiology; Intraclass correlation; Linear regression; Radiology; Artificial intelligence; Statistics; Mathematics; Reproducibility; Computer science; Internal medicine","score_opus":0.0457977558038668,"score_gpt":0.3221347043912596,"score_spread":0.27633694858739277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165617359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430746,0.0010011697,0.0005065212,0.0006739491,0.00051412417,0.0009666428,0.00006681759,0.000024229688,0.0019390789],"genre_scores_gemma":[0.9959793,0.0004935211,0.0009644591,0.00012421164,0.000099981575,0.000015646046,0.0019780893,0.00003316942,0.0003116071],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99861073,0.00023317468,0.0005548952,0.00030852106,0.00009590538,0.00019675888],"domain_scores_gemma":[0.99904555,0.0002525556,0.00024399506,0.0002780633,0.00013251333,0.000047343554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000332202,0.0001362599,0.00033258914,0.000104588114,0.000051164207,0.000004263151,0.00006919535,0.00013101219,0.000009151763],"category_scores_gemma":[0.00032923423,0.00011951156,0.000091456684,0.00012080153,0.00006136402,0.00003285335,0.000017206805,0.00016435997,0.000008769604],"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":[0.3849358,0.01154075,0.1770553,0.0010554359,0.00042552635,0.000058288802,0.015341147,0.022398688,0.020465348,0.0020718442,0.042668246,0.3219836],"study_design_scores_gemma":[0.043787375,0.02165565,0.892999,0.00018174753,0.00010783028,0.0000056231534,0.0007813351,0.016757708,0.003627661,0.000014907438,0.019815963,0.00026522618],"about_ca_topic_score_codex":0.0000099906765,"about_ca_topic_score_gemma":0.0000071769286,"teacher_disagreement_score":0.7159437,"about_ca_system_score_codex":0.00006704326,"about_ca_system_score_gemma":0.00004242816,"threshold_uncertainty_score":0.48735398},"labels":[],"label_agreement":null},{"id":"W3169288790","doi":"10.1007/s00330-021-07965-z","title":"Optimising breast cancer screening reading: blinding the second reader to the first reader’s decisions","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Global Cancer Incidence and Screening","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":"NIHR Cambridge Biomedical Research Centre; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Medicine; Blinding; Breast cancer; Cancer detection; Cancer; Gynecology; Medical physics; Surgery; Internal medicine; Randomized controlled trial","score_opus":0.11664492366935214,"score_gpt":0.34530336174364096,"score_spread":0.22865843807428882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169288790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57003534,0.0071121235,0.018499102,0.27787277,0.0021844401,0.0010546747,0.0001609257,0.00031647828,0.12276413],"genre_scores_gemma":[0.9517489,0.00025684325,0.0046559866,0.03467017,0.002314481,0.00002197941,0.000029585846,0.000079988335,0.006222032],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976409,0.00039415044,0.00043116792,0.0005774975,0.000325205,0.00063107396],"domain_scores_gemma":[0.99806213,0.0004963667,0.00012663554,0.0008254215,0.00024326185,0.000246198],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012656795,0.0002423205,0.000366578,0.00010580348,0.0007790816,0.00011305922,0.00049141725,0.00007777205,0.0010269587],"category_scores_gemma":[0.00048567195,0.00014607211,0.00016153554,0.0006770809,0.00018148488,0.00010403614,0.00030784105,0.00063347723,0.00020666303],"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":[0.001172947,0.00009979883,0.1010336,0.000063692285,0.0009126829,0.005568592,0.013744626,0.008846648,0.0074237725,0.0022733998,0.7175198,0.14134043],"study_design_scores_gemma":[0.00088824495,0.00012972193,0.23942955,0.00069493736,0.00017567845,0.011513096,0.0036517626,0.00032585117,0.0006918472,0.000023955079,0.7421619,0.00031344328],"about_ca_topic_score_codex":0.000092745926,"about_ca_topic_score_gemma":0.00040028768,"teacher_disagreement_score":0.38171357,"about_ca_system_score_codex":0.00012989182,"about_ca_system_score_gemma":0.00015234636,"threshold_uncertainty_score":0.9998862},"labels":[],"label_agreement":null},{"id":"W3170657772","doi":"10.1007/s00330-021-08117-z","title":"Diagnostic interval for non-screening patients undergoing mammography during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Pandemic; Mammography; Retrospective cohort study; Neuroradiology; Coronavirus disease 2019 (COVID-19); Pediatrics; Radiology; Breast cancer; Internal medicine; Cancer; Disease; Infectious disease (medical specialty)","score_opus":0.06701967020901983,"score_gpt":0.3507738008936152,"score_spread":0.2837541306845954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170657772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785454,0.00063140143,0.012544813,0.0063308845,0.0005155742,0.0006178132,0.000028782631,0.00012555008,0.00065978145],"genre_scores_gemma":[0.9788124,0.0003354086,0.00038116323,0.019401507,0.000606998,0.00001989117,0.00009772358,0.000053455835,0.00029146354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812657,0.00048074225,0.00037212027,0.00039883147,0.00012440409,0.0004973077],"domain_scores_gemma":[0.99566853,0.0033257708,0.0001239821,0.00039331397,0.00010901968,0.0003793943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602974,0.00018194034,0.00033370327,0.00012794413,0.0003175656,0.000022282069,0.00016028859,0.00006610617,0.000060820486],"category_scores_gemma":[0.0074431193,0.00013790128,0.00020380165,0.00021282096,0.0001160022,0.000042920834,0.0001318979,0.00033158058,0.000027373204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028215122,0.000057096237,0.9887314,0.0005024121,0.0001139932,0.00040510506,0.0010150742,0.00005391144,0.0003786532,0.000051430983,0.003674724,0.0047340863],"study_design_scores_gemma":[0.0042511667,0.00057987566,0.94873196,0.00014287372,0.00008839865,0.00069158047,0.00022384214,0.000058206188,0.000033406995,0.000055236243,0.04498559,0.00015784129],"about_ca_topic_score_codex":0.000031386404,"about_ca_topic_score_gemma":0.0001353976,"teacher_disagreement_score":0.041310865,"about_ca_system_score_codex":0.0001715109,"about_ca_system_score_gemma":0.0003164333,"threshold_uncertainty_score":0.89106464},"labels":[],"label_agreement":null},{"id":"W3179001082","doi":"10.1007/s00330-021-08142-y","title":"Evaluation of quantitative MRCP (MRCP+) for risk stratification of primary sclerosing cholangitis: comparison with morphological MRCP, MR elastography, and biochemical risk scores","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Primary sclerosing cholangitis; Neuroradiology; Radiology; Internal medicine; Elastography; Receiver operating characteristic; Ultrasound; Gastroenterology","score_opus":0.0711642620908223,"score_gpt":0.3134909695339852,"score_spread":0.2423267074431629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179001082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900172,0.0051819975,0.003559227,0.000032230313,0.000044886525,0.00042750337,0.00017134938,0.000018331182,0.000547299],"genre_scores_gemma":[0.99068844,0.00051045476,0.008303476,0.000028890503,0.000042805466,0.000009793594,0.00039560674,0.000016731017,0.0000037920272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767196,0.001307519,0.00037246462,0.00029209847,0.00021433088,0.00014161217],"domain_scores_gemma":[0.99840987,0.00031102402,0.0003720389,0.0002651341,0.00057036476,0.00007154156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011624702,0.00012487464,0.0004050066,0.00007879894,0.00007873656,0.00000910855,0.00006887397,0.00005723328,0.000028560713],"category_scores_gemma":[0.00072253094,0.00009881371,0.00008917401,0.00016285367,0.0004410415,0.00005670977,0.00004012814,0.00019569146,0.0000017440581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015921628,0.0007301083,0.6837298,0.00019460512,0.00057488424,0.000011178612,0.0008274622,0.00018614274,0.30148554,0.0003601607,0.000670349,0.009637597],"study_design_scores_gemma":[0.0027479506,0.0016287025,0.97959757,0.00013635721,0.001132798,0.000046602796,0.00072135014,0.0016217042,0.012092939,0.00015040777,0.000022180162,0.000101448364],"about_ca_topic_score_codex":0.000033408774,"about_ca_topic_score_gemma":0.0000049924674,"teacher_disagreement_score":0.29586774,"about_ca_system_score_codex":0.000030183764,"about_ca_system_score_gemma":0.00011325793,"threshold_uncertainty_score":0.4029506},"labels":[],"label_agreement":null},{"id":"W3185140845","doi":"10.1007/s00330-021-08208-x","title":"Expanding diagnostic tools for dysthyroid optic neuropathy: how quantitative MRI can be used to visualize and measure orbital inflammation","year":2021,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Neuroradiology; Measure (data warehouse); Medicine; Interventional radiology; Optic neuropathy; Neurology; Magnetic resonance imaging; Optic nerve; Radiology; Medical physics; Ophthalmology; Computer science; Data mining","score_opus":0.043430623426039296,"score_gpt":0.3286364268034465,"score_spread":0.2852058033774072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185140845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6501532,0.002196017,0.0011655252,0.0046486347,0.33819556,0.0021395155,0.0004104829,0.00014974842,0.0009413056],"genre_scores_gemma":[0.5035685,0.0005237035,0.0022100003,0.0004219798,0.48318762,0.0003230382,0.007566472,0.0004647743,0.0017339421],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99655336,0.001194655,0.0004803457,0.000918094,0.0003029482,0.0005506183],"domain_scores_gemma":[0.9905905,0.008058357,0.00028091835,0.00040563656,0.0004054243,0.00025913192],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000997218,0.0004947603,0.0010596775,0.00027446088,0.00020417244,0.0001139998,0.00020304901,0.00048581942,0.000021667454],"category_scores_gemma":[0.045197703,0.00048145186,0.00017042295,0.00019314555,0.00021412353,0.00013084001,0.00012309337,0.00076622755,0.000023780452],"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":[0.0015779008,0.00011221013,0.0008794872,0.00072524947,0.00065077946,0.00800132,0.0063315183,0.00005475999,0.010144238,0.0005320785,0.9701651,0.0008254095],"study_design_scores_gemma":[0.01985402,0.023054522,0.012469926,0.0021119881,0.002984271,0.0041365386,0.007651752,0.0001886424,0.0012187595,0.00015998863,0.92283285,0.0033367255],"about_ca_topic_score_codex":0.000010429406,"about_ca_topic_score_gemma":0.000021181966,"teacher_disagreement_score":0.14658473,"about_ca_system_score_codex":0.00010056805,"about_ca_system_score_gemma":0.00030239398,"threshold_uncertainty_score":0.9997637},"labels":[],"label_agreement":null},{"id":"W3188378605","doi":"10.1007/s00330-021-08209-w","title":"Variation in CT perfusion protocol has implications on defining irreversibly damaged ischemic brain parenchyma","year":2021,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Health Sciences Centre","funders":"","keywords":"Neuroradiology; Medicine; Perfusion; Parenchyma; Protocol (science); Perfusion scanning; Interventional radiology; Ischemia; Variation (astronomy); Ultrasound; Radiology; Neurology; Pathology; Cardiology","score_opus":0.02526367667354674,"score_gpt":0.3321618952523513,"score_spread":0.30689821857880456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188378605","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":[0.006027338,0.00058758503,0.09223718,0.031694487,0.33135828,0.26772267,0.0015454021,0.0031608187,0.26566625],"genre_scores_gemma":[0.0072088162,0.0003652776,0.07580281,0.0028753562,0.75683045,0.12669274,0.018577231,0.0006981898,0.010949141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747795,0.00047375963,0.0006116806,0.00086574565,0.00021267004,0.00035821102],"domain_scores_gemma":[0.99767464,0.00073100073,0.00036996778,0.0009285871,0.00017811805,0.00011769751],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006477714,0.00034955793,0.0005713671,0.00027599657,0.0001944228,0.000030324589,0.00029846226,0.00028583128,0.00013742884],"category_scores_gemma":[0.0016237168,0.0003454901,0.00013329556,0.00039764418,0.00011610268,0.000050365532,0.00015591783,0.00151758,0.00014200868],"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":[0.00008188967,0.0001599969,0.00010436869,0.000060575316,0.000010811875,0.0001100475,0.00012838223,0.000035808902,0.011314247,0.00049276126,0.98410505,0.0033960699],"study_design_scores_gemma":[0.0015156266,0.0003485322,0.005000816,0.00037450067,0.000042050724,0.00008300575,0.000021000586,0.00003331643,0.00013145384,0.000121434845,0.99204195,0.00028634368],"about_ca_topic_score_codex":0.000024532845,"about_ca_topic_score_gemma":0.000009670931,"teacher_disagreement_score":0.42547214,"about_ca_system_score_codex":0.00031556282,"about_ca_system_score_gemma":0.00046224333,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W3188651548","doi":"10.1007/s00330-021-08147-7","title":"Reporting standards for primary sclerosing cholangitis using MRI and MR cholangiopancreatography: guidelines from MR Working Group of the International Primary Sclerosing Cholangitis Study Group","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Primary sclerosing cholangitis; Medicine; Magnetic resonance cholangiopancreatography; Magnetic resonance imaging; Radiology; Portal hypertension; Bile duct; Liver transplantation; Interventional radiology; Internal medicine; Endoscopic retrograde cholangiopancreatography; Gastroenterology; Pancreatitis; Cirrhosis; Disease; Transplantation","score_opus":0.07353356147029788,"score_gpt":0.31181287208111824,"score_spread":0.23827931061082036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188651548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98858166,0.006365921,0.0015081054,0.00019781008,0.0008753914,0.0005634772,0.00022517903,0.00006956576,0.0016128705],"genre_scores_gemma":[0.9855137,0.0004549683,0.011354849,0.0010975725,0.0010460032,0.000008373658,0.00039391863,0.000080854064,0.00004975111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968875,0.0005057977,0.0012615594,0.0005867751,0.00040977882,0.00034858042],"domain_scores_gemma":[0.9976753,0.0001986244,0.0009577209,0.00059787824,0.0004507087,0.00011979553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018596483,0.00026446156,0.0006752147,0.00013605285,0.00036973922,0.0001196701,0.000276011,0.00007021409,0.00003375545],"category_scores_gemma":[0.001071394,0.000220027,0.0003222421,0.00026723542,0.00018539325,0.00019787907,0.0005028308,0.00033468904,5.475078e-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":[0.00027041743,0.00022998525,0.85287666,0.000088816516,0.0005911148,0.00019064322,0.00063485635,0.000016557116,0.13229151,0.00003243625,0.0005395696,0.012237416],"study_design_scores_gemma":[0.002973799,0.00020606788,0.99063754,0.0011248583,0.00047733507,0.00037780922,0.00077049946,0.00015134842,0.0005143056,0.000037644768,0.0025094303,0.00021937824],"about_ca_topic_score_codex":0.00024887727,"about_ca_topic_score_gemma":0.0000138937685,"teacher_disagreement_score":0.13776085,"about_ca_system_score_codex":0.00019151063,"about_ca_system_score_gemma":0.00016444137,"threshold_uncertainty_score":0.89724404},"labels":[],"label_agreement":null},{"id":"W3201049275","doi":"10.1007/s00330-021-08214-z","title":"Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review","year":2021,"lang":"en","type":"review","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster Children's Hospital; McMaster University","funders":"","keywords":"CINAHL; Medicine; Grey literature; Stakeholder; MEDLINE; Radiology; Interventional radiology; Cochrane Library; Presentation (obstetrics); Medical education; Health care; Nursing; Public relations; Alternative medicine; Pathology; Political science","score_opus":0.4251727541677557,"score_gpt":0.47604196454422576,"score_spread":0.050869210376470075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201049275","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":[0.000056834513,0.99319816,0.00009779744,0.0022634831,0.00093403837,0.0020015554,0.000007944083,0.00002399579,0.0014162165],"genre_scores_gemma":[0.00011717791,0.9968796,0.00012784738,0.0009302062,0.0016797924,0.000074311785,0.000081955746,0.000055730136,0.000053400516],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99379396,0.0033969758,0.0016043492,0.00066647126,0.00015181719,0.0003864007],"domain_scores_gemma":[0.99729055,0.0010502803,0.0005815389,0.0008107935,0.00017259366,0.00009422337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022353553,0.0003647356,0.0022769526,0.00027057627,0.0000806825,0.000009410371,0.0003538201,0.00023607773,0.0004616019],"category_scores_gemma":[0.0015538065,0.0002370812,0.000457914,0.00073483156,0.00035963365,0.00002509459,0.0000618505,0.0011885586,0.00018343917],"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":[0.000011214116,0.00009984417,0.0000042523093,0.02602328,0.000063506894,0.00013147212,0.001509372,0.0000011276474,5.9025723e-7,0.005832249,0.0011261244,0.96519697],"study_design_scores_gemma":[0.000019000103,0.0007272816,0.0000123243635,0.6548721,0.0005572545,0.0013100577,0.011484506,0.000006162001,0.000009111728,0.00017064527,0.3303982,0.00043337137],"about_ca_topic_score_codex":0.000015983294,"about_ca_topic_score_gemma":0.000025523257,"teacher_disagreement_score":0.9647636,"about_ca_system_score_codex":0.00019556412,"about_ca_system_score_gemma":0.0009613609,"threshold_uncertainty_score":0.96678907},"labels":[],"label_agreement":null},{"id":"W3201052954","doi":"10.1007/s00330-021-08246-5","title":"CT-derived fractional flow reserve (FFRct) for functional coronary artery evaluation in the follow-up of patients after heart transplantation","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Transplantation: Methods and Outcomes","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":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"","keywords":"Medicine; Fractional flow reserve; Stenosis; Cardiology; Internal medicine; Heart transplantation; Radiology; Artery; Circumflex; Transplantation; Coronary angiography; Myocardial infarction","score_opus":0.05251479758119456,"score_gpt":0.3114439767813957,"score_spread":0.25892917920020114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201052954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98799706,0.00021640288,0.009034462,0.0009207547,0.00072279654,0.0005033728,0.00013948706,0.000011635467,0.00045404828],"genre_scores_gemma":[0.9912479,0.000054561435,0.0047756233,0.0013091142,0.0001950145,0.000068453686,0.0022339292,0.000017307864,0.00009810946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978354,0.0011634424,0.00035716276,0.0002350461,0.000263152,0.00014578005],"domain_scores_gemma":[0.9989185,0.00059066084,0.00006970584,0.0001619522,0.00022655894,0.000032671884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010326328,0.00010636571,0.00021917162,0.00008345452,0.00005154329,0.000005916207,0.00004880084,0.000035670153,0.00029041347],"category_scores_gemma":[0.0001609083,0.000081939004,0.0001308581,0.00011045437,0.000052912954,0.00008046359,0.000005047527,0.00014364273,0.0000119880415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00733892,0.00035779295,0.9693508,0.00024040903,0.00019079231,0.00030586272,0.0025021257,0.00054168596,0.007642674,0.00015570184,0.0021581932,0.009215047],"study_design_scores_gemma":[0.0065570194,0.00026336528,0.99014467,0.000039201965,0.00018361474,0.00041091212,0.00012072024,0.00038633353,0.00041223277,0.00018036635,0.0012264162,0.00007515672],"about_ca_topic_score_codex":0.0000030727258,"about_ca_topic_score_gemma":0.000038821472,"teacher_disagreement_score":0.020793865,"about_ca_system_score_codex":0.00003493087,"about_ca_system_score_gemma":0.00010477263,"threshold_uncertainty_score":0.33413756},"labels":[],"label_agreement":null},{"id":"W3214622066","doi":"10.1007/s00330-021-08314-w","title":"Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Women's College Hospital; University of Toronto; University Health Network","funders":"Deutsche Forschungsgemeinschaft; Ontario Institute for Cancer Research","keywords":"Medicine; Interventional radiology; Radiomics; Neuroradiology; Radiology; Adenocarcinoma; General surgery; Internal medicine; Cancer; Neurology","score_opus":0.045306934929060946,"score_gpt":0.3378658406866891,"score_spread":0.29255890575762816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214622066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8357226,0.0007408489,0.15799585,0.00047590083,0.000030900374,0.00087159185,0.00000815244,0.000027544469,0.0041266065],"genre_scores_gemma":[0.9639258,0.00020926843,0.030571248,0.00021527,0.00015693477,0.00014920242,0.00016848036,0.000037953807,0.0045658513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826497,0.0005330999,0.00032183883,0.0004043847,0.00012143899,0.00035425118],"domain_scores_gemma":[0.9989105,0.0003617258,0.000076599106,0.00030742222,0.00023253965,0.00011123153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006843853,0.0001396638,0.0004486657,0.00012288456,0.00007976492,0.000017261455,0.00009690831,0.00007348475,0.000057270496],"category_scores_gemma":[0.0006911145,0.00011292822,0.000042208772,0.0001856741,0.0001476611,0.000075380005,0.000037437694,0.00023280075,0.000020924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024137243,0.00031691155,0.9752946,0.00012920963,0.0001583359,0.00055560726,0.0019019198,0.003115625,0.012273185,0.0022398636,0.0005048554,0.0010961653],"study_design_scores_gemma":[0.004659916,0.0012319145,0.5623611,0.0001377344,0.00019366134,0.0012053787,0.0001404442,0.4281383,0.0014520801,0.00024462232,0.00008589328,0.00014894246],"about_ca_topic_score_codex":0.000012395152,"about_ca_topic_score_gemma":0.000019005256,"teacher_disagreement_score":0.42502266,"about_ca_system_score_codex":0.00015006169,"about_ca_system_score_gemma":0.00045020288,"threshold_uncertainty_score":0.4605079},"labels":[],"label_agreement":null},{"id":"W3217608827","doi":"10.1007/s00330-021-08390-y","title":"Ovarian cancer reporting lexicon for computed tomography (CT) and magnetic resonance (MR) imaging developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"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 Institute for Health and Care Research","keywords":"Medicine; Ovarian cancer; Radiology; Magnetic resonance imaging; Lexicon; Neuroradiology; Ovarian cyst; Interventional radiology; Cancer; Cyst; Internal medicine; Artificial intelligence; Neurology","score_opus":0.03340057859314472,"score_gpt":0.2783944626541941,"score_spread":0.24499388406104938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217608827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65233314,0.3101967,0.0009615287,0.03353863,0.0006380909,0.0014355052,0.00010956125,0.00010729938,0.0006795745],"genre_scores_gemma":[0.9881969,0.0051554306,0.0023813655,0.0033235452,0.0004376895,0.00014557052,0.000052836214,0.000076984885,0.00022965163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974104,0.00048569439,0.00067261804,0.00082266435,0.00012742936,0.00048119077],"domain_scores_gemma":[0.9984395,0.00042458347,0.00042575787,0.00042774333,0.00009080634,0.00019159142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092832296,0.00032577672,0.00056965894,0.00006868413,0.0004651443,0.00014639986,0.00011859766,0.000019711591,0.000040690415],"category_scores_gemma":[0.0001740845,0.0002139835,0.000096411146,0.00025253676,0.000487793,0.00006843986,0.00019172326,0.00023142196,5.957675e-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":[0.00053940085,0.00007366826,0.6518518,0.00013493835,0.00022371249,0.0015660567,0.0009537518,0.0000065186005,0.0005082937,0.00079445273,0.0014135336,0.3419339],"study_design_scores_gemma":[0.008435487,0.00006814369,0.9162503,0.000462322,0.00042895594,0.0011435185,0.0001634492,0.0026725703,0.00007840943,0.00012461864,0.06988922,0.00028302707],"about_ca_topic_score_codex":0.00043164977,"about_ca_topic_score_gemma":0.00012005753,"teacher_disagreement_score":0.34165087,"about_ca_system_score_codex":0.00007059789,"about_ca_system_score_gemma":0.00013602195,"threshold_uncertainty_score":0.87259936},"labels":[],"label_agreement":null},{"id":"W3217617613","doi":"10.1007/s00330-021-08372-0","title":"Editorial Comment: Cost-effectiveness of brain MRI in stroke emergency patients","year":2021,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Neuroradiology; Medicine; Interventional radiology; Stroke (engine); Neurology; Magnetic resonance imaging; Radiology; Medical physics; Medical emergency; Psychiatry","score_opus":0.010307900832364925,"score_gpt":0.27940931858761503,"score_spread":0.2691014177552501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217617613","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":[0.002188454,0.0003031656,0.000117569325,0.00024223569,0.97183776,0.0013960584,0.00049010664,0.00004546474,0.023379171],"genre_scores_gemma":[0.0014483609,0.0006266611,0.00010049808,0.000108341854,0.9903464,0.00006597512,0.0056129713,0.00014435597,0.001546477],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943736,0.0023878186,0.0010298454,0.0008652089,0.000792433,0.0005510878],"domain_scores_gemma":[0.9967348,0.0012779979,0.0005187812,0.00084612076,0.00047493275,0.00014736451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018913845,0.0005031962,0.0014171088,0.00035386274,0.000034691213,0.0000074037075,0.00049976236,0.0006056986,0.00024437573],"category_scores_gemma":[0.0030196998,0.0005047477,0.0002892218,0.00025703845,0.00014435922,0.00004282171,0.0005665524,0.001469018,0.0000680022],"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":[0.0007727776,0.00042676541,0.006383901,0.0006890371,0.00043537104,0.00014960143,0.00010218243,0.000008646306,0.00046550922,0.000011335056,0.99016047,0.00039439718],"study_design_scores_gemma":[0.007281494,0.00082209875,0.0056912247,0.00044808484,0.00020438647,0.0000022793752,0.000030393985,0.0000033037416,0.000088779416,0.0000022821698,0.98510814,0.00031753603],"about_ca_topic_score_codex":0.000048306356,"about_ca_topic_score_gemma":0.0000056032095,"teacher_disagreement_score":0.021832695,"about_ca_system_score_codex":0.00044877472,"about_ca_system_score_gemma":0.00020884388,"threshold_uncertainty_score":0.9997404},"labels":[],"label_agreement":null},{"id":"W338715400","doi":"10.1007/s00330-015-3820-2","title":"3D rotational angiography in the endovascular treatment of visceral aneurysms: preliminary experience in a single centre","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Radiology; Embolization; Rotational angiography; Aneurysm; Interventional radiology; Angiography; Endovascular treatment","score_opus":0.04852489117593633,"score_gpt":0.2774307950361562,"score_spread":0.22890590386021986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W338715400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938666,0.0019566314,0.00004292503,0.00020749567,0.00004634845,0.0003656133,0.0000061899136,0.000009716258,0.0034984539],"genre_scores_gemma":[0.9988128,0.00003154197,0.0008230333,0.00009641579,0.000049758928,0.000025364303,0.00008669427,0.000011514199,0.00006290713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882394,0.00047183127,0.0002187781,0.0001999998,0.000117552,0.00016787721],"domain_scores_gemma":[0.9995684,0.00005687711,0.000050533883,0.00023993257,0.000030385325,0.000053883992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015048763,0.00011321592,0.00022037564,0.00018351026,0.000019530931,0.0000037578786,0.00007561124,0.000024673638,0.000027482583],"category_scores_gemma":[0.00003542576,0.000074596115,0.00016841269,0.00023942781,0.00012236602,0.000036695757,0.0000133362155,0.000048292244,0.00001856403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015566967,0.0067100823,0.9086639,0.00003115121,0.00050329295,0.014625832,0.046829436,0.00053214334,0.0016701389,0.00038557794,0.0007213394,0.017770382],"study_design_scores_gemma":[0.006345197,0.0033205226,0.98323774,0.0000352176,0.00010886235,0.0013221713,0.002273359,0.000104389386,0.00013052096,0.000042184005,0.002983636,0.00009616892],"about_ca_topic_score_codex":0.00005026239,"about_ca_topic_score_gemma":0.000022609653,"teacher_disagreement_score":0.074573845,"about_ca_system_score_codex":0.00006551812,"about_ca_system_score_gemma":0.000028424136,"threshold_uncertainty_score":0.30419412},"labels":[],"label_agreement":null},{"id":"W347101954","doi":"10.1007/s00330-015-3731-2","title":"Cost-utility analysis of nonalcoholic steatohepatitis screening","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Hôpital Saint-Luc","funders":"Canadian Institutes of Health Research","keywords":"Nonalcoholic steatohepatitis; Medicine; Interventional radiology; Neuroradiology; Steatohepatitis; Radiology; Medical physics; Internal medicine; Nonalcoholic fatty liver disease; Fatty liver; Neurology","score_opus":0.12213623273503935,"score_gpt":0.3306690120201404,"score_spread":0.20853277928510103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W347101954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97247887,0.00087627204,0.00053503737,0.00019992718,0.00006562188,0.0002136042,0.00007777521,0.000037334878,0.025515541],"genre_scores_gemma":[0.99843234,0.00006279624,0.0006180606,0.00039275285,0.0000719576,0.0000076170627,0.00024902396,0.000013579147,0.0001518933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988781,0.00033347128,0.00024811694,0.0002388907,0.00013366135,0.00016774618],"domain_scores_gemma":[0.99911493,0.00007886637,0.00008964789,0.0003440687,0.000116463954,0.0002560107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033098037,0.00010700006,0.00044951952,0.00019325303,0.0000224901,0.0000038799126,0.000078033154,0.00002611242,0.00024330756],"category_scores_gemma":[0.00011135864,0.00008653929,0.00021040141,0.00033803476,0.00010518115,0.000026755606,0.000048048707,0.00006656321,0.00007614527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001138411,0.00023817825,0.98363966,0.000008048623,0.0024124822,0.00028344244,0.00032711544,0.00007935087,0.000021859045,0.00012587466,0.002656561,0.010093612],"study_design_scores_gemma":[0.0014385496,0.00026808569,0.98917544,0.00001263164,0.0027089042,0.000025941541,0.000064806794,0.00091854186,0.00007786201,0.0000065452314,0.0052361046,0.00006655991],"about_ca_topic_score_codex":0.00012817276,"about_ca_topic_score_gemma":0.000014176651,"teacher_disagreement_score":0.025953434,"about_ca_system_score_codex":0.00003673579,"about_ca_system_score_gemma":0.000043960743,"threshold_uncertainty_score":0.352897},"labels":[],"label_agreement":null},{"id":"W4200014744","doi":"10.1007/s00330-021-08381-z","title":"MR elastography in nonalcoholic fatty liver disease: inter-center and inter-analysis-method measurement reproducibility and accuracy at 3T","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","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":"Université de Montréal","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; Institute of Nutrition, Metabolism and Diabetes; National Institute of Diabetes and Digestive and Kidney Diseases; Fonds de Recherche du Québec - Santé; National Center on Minority Health and Health Disparities; National Institute of Biomedical Imaging and Bioengineering; Fulbright Canada","keywords":"Medicine; Intraclass correlation; Receiver operating characteristic; Reproducibility; Nonalcoholic fatty liver disease; Magnetic resonance elastography; Nuclear medicine; Neuroradiology; Fatty liver; Radiology; Elastography; Ultrasound; Internal medicine; Mathematics; Disease; Statistics","score_opus":0.04045016566388439,"score_gpt":0.2996718843207537,"score_spread":0.2592217186568693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200014744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98668724,0.009984878,0.0006023264,0.0013763768,0.00010479162,0.00036863325,0.00005346814,0.0000335842,0.0007887237],"genre_scores_gemma":[0.9964754,0.0013355068,0.0007156039,0.0011054215,0.00009609768,0.000025961395,0.00012729496,0.000023937882,0.00009475975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963693,0.0012952351,0.00041720908,0.0014538204,0.00017660881,0.00028780507],"domain_scores_gemma":[0.9981449,0.00018273381,0.00010271959,0.0010769872,0.00013660337,0.00035603138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012636795,0.00024509587,0.0005688759,0.00023627773,0.00006309355,0.000024495092,0.00008152217,0.00003699578,0.00024964678],"category_scores_gemma":[0.00067845895,0.00019924577,0.00026479719,0.00031804136,0.00016429843,0.000061112114,0.0003392899,0.00017287083,0.000030647334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036561972,0.00091182574,0.9848066,0.00008940469,0.0015310291,0.0016375678,0.0004513421,0.0000031525371,0.0004508679,0.000039174003,0.0006480648,0.009065348],"study_design_scores_gemma":[0.0021401474,0.0001512789,0.9906799,0.00009017419,0.0015712519,0.000162556,0.000040085237,0.000096201205,0.00019960561,0.000025448755,0.00468325,0.00016010056],"about_ca_topic_score_codex":0.000039620943,"about_ca_topic_score_gemma":0.00013806901,"teacher_disagreement_score":0.009788198,"about_ca_system_score_codex":0.00015092005,"about_ca_system_score_gemma":0.00004412815,"threshold_uncertainty_score":0.81250066},"labels":[],"label_agreement":null},{"id":"W4206443342","doi":"10.1007/s00330-021-08467-8","title":"Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Newfoundland and Labrador","keywords":"Flagging; Classifier (UML); Artificial intelligence; Test set; Computer science; Receiver operating characteristic; Preprocessor; Machine learning; Documentation; Natural language processing; Medicine; Neuroradiology; Neurology","score_opus":0.01902958951043082,"score_gpt":0.3101502478497598,"score_spread":0.291120658339329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206443342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934291,0.0048326417,0.00010725044,0.00033133358,0.00026847055,0.00020565598,9.2822677e-7,0.00003446609,0.00079011486],"genre_scores_gemma":[0.99811685,0.00007475012,0.0014083696,0.00011752005,0.000047205274,0.000014188883,0.000050996525,0.000015123182,0.00015498554],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849975,0.00074092177,0.00035005785,0.00019972399,0.00006133423,0.00014823591],"domain_scores_gemma":[0.9993577,0.000103183804,0.00027368873,0.00020701322,0.000028612792,0.00002981861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010285806,0.00007821694,0.00021689471,0.00024853356,0.0002352826,0.000005793695,0.0000577213,0.000034727724,0.000077982084],"category_scores_gemma":[0.000212457,0.00008008648,0.000029328045,0.00021777434,0.000117616335,0.00012431177,0.00006754683,0.00035406507,0.0000011415989],"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":[0.0005026888,0.0005276727,0.18358754,0.0003518622,0.00020845176,0.0004916248,0.02489259,0.000981592,0.6799803,0.00020942526,0.0005340798,0.10773221],"study_design_scores_gemma":[0.0016524785,0.00071746745,0.86750615,0.000084167434,0.00022324886,0.049363628,0.011830974,0.06427358,0.0009606455,0.0001330336,0.0029923667,0.00026226352],"about_ca_topic_score_codex":0.000089666166,"about_ca_topic_score_gemma":0.000007017173,"teacher_disagreement_score":0.6839186,"about_ca_system_score_codex":0.00015722019,"about_ca_system_score_gemma":0.00006197733,"threshold_uncertainty_score":0.32658318},"labels":[],"label_agreement":null},{"id":"W4207042661","doi":"10.1007/s00330-021-08449-w","title":"Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Computer Research Institute of Montréal; McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Fondation de l'Association des radiologistes du Québec","keywords":"Medicine; Malignancy; Radiology; Neuroradiology; Logistic regression; Receiver operating characteristic; Algorithm; Radiomics; Interventional radiology; Magnetic resonance imaging; Machine learning; Artificial intelligence; Internal medicine; Computer science","score_opus":0.02869189199486448,"score_gpt":0.29121232166759486,"score_spread":0.26252042967273037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207042661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8267922,0.0004106872,0.17065148,0.00010468191,0.00008489667,0.00046066754,0.00008459491,0.00005288642,0.0013579142],"genre_scores_gemma":[0.97667336,0.000056278466,0.02258128,0.00020247439,0.000050672326,0.000024061985,0.00023158434,0.00003933291,0.00014093377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99653393,0.0018939261,0.000628056,0.0004921081,0.00024228837,0.00020966727],"domain_scores_gemma":[0.9980724,0.0009962312,0.00033822472,0.00038227672,0.00006197358,0.00014890515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012470977,0.00018484937,0.00045866403,0.00016977209,0.00019792483,0.000005799118,0.00010659785,0.000030493291,0.000101212216],"category_scores_gemma":[0.0005071563,0.00015472858,0.00014412258,0.0001365886,0.00013949002,0.000015575119,0.00004784876,0.0005633564,0.00001274682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007993189,0.0025306004,0.034758817,0.0000746613,0.00029098877,0.0022196013,0.00024903243,0.44755635,0.063634105,0.00025117001,0.00053399283,0.43990752],"study_design_scores_gemma":[0.006405264,0.005742515,0.1234641,0.00006634992,0.00025671767,0.00014958375,0.00002663775,0.8624638,0.00108002,0.00006244359,0.00014308687,0.00013952768],"about_ca_topic_score_codex":0.000014767934,"about_ca_topic_score_gemma":0.0000021548321,"teacher_disagreement_score":0.439768,"about_ca_system_score_codex":0.00008887099,"about_ca_system_score_gemma":0.00014112209,"threshold_uncertainty_score":0.6309648},"labels":[],"label_agreement":null},{"id":"W4210483830","doi":"10.1007/s00330-021-08535-z","title":"Balancing the benefits and harms of MRI-directed biopsy pathways","year":2022,"lang":"en","type":"editorial","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; University of Toronto; University Health Network","funders":"","keywords":"Neuroradiology; Interventional radiology; Medicine; Biopsy; Radiology; Ultrasound; Magnetic resonance imaging; Medical physics; Intensive care medicine; Neurology","score_opus":0.017886149278031494,"score_gpt":0.24724628276161478,"score_spread":0.22936013348358328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210483830","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":[0.013285808,0.020161068,0.000009034904,0.001332596,0.950355,0.0007013362,0.0009684781,0.00026837923,0.012918332],"genre_scores_gemma":[0.0061095385,0.025715664,0.0005213733,0.0004890097,0.96476793,0.00007876433,0.0011833194,0.00027099685,0.00086338987],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727327,0.0008413341,0.0005159668,0.0006196211,0.00039564437,0.0003541675],"domain_scores_gemma":[0.9968497,0.0017499995,0.00039280925,0.0007485851,0.00014516423,0.00011370141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011021864,0.00032269614,0.0008167868,0.00016272294,0.00013040939,0.000012127272,0.00041821715,0.00023470909,0.0007021064],"category_scores_gemma":[0.000863234,0.00023574074,0.00013732113,0.00022636777,0.00029139512,0.000019932206,0.00036947266,0.0012485095,0.000027800921],"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":[0.00012525271,0.00003529316,0.0011835358,0.00015823683,0.00020523973,0.00035101606,0.00055791065,0.000016545897,0.000356274,0.000046423185,0.9938499,0.0031144032],"study_design_scores_gemma":[0.0011802383,0.00051199866,0.006623505,0.00020076313,0.00027335997,0.00026137326,0.00008019305,0.000021710375,0.000053162705,0.000007781392,0.99057573,0.00021017155],"about_ca_topic_score_codex":0.000079784615,"about_ca_topic_score_gemma":0.000006275595,"teacher_disagreement_score":0.014412977,"about_ca_system_score_codex":0.00013411869,"about_ca_system_score_gemma":0.00025429414,"threshold_uncertainty_score":0.96132284},"labels":[],"label_agreement":null},{"id":"W4210768049","doi":"10.1007/s00330-021-08528-y","title":"CT imaging findings of renal epithelioid lipid-poor angiomyolipoma","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SKiN Health","funders":"Natural Science Foundation of Hunan Province","keywords":"Medicine; Neuroradiology; Confidence interval; Logistic regression; Radiology; Angiomyolipoma; Ultrasound; Magnetic resonance imaging; Interventional radiology; Kidney; Internal medicine; Neurology","score_opus":0.02738489422911322,"score_gpt":0.27537910568602014,"score_spread":0.24799421145690692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210768049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773133,0.0005372484,0.00015248643,0.00239681,0.00025384512,0.00026430574,0.00003488398,0.00010006114,0.018947078],"genre_scores_gemma":[0.99561125,0.000019610809,0.0006109728,0.001021274,0.00035367752,0.000010406001,0.000047255086,0.00006570296,0.0022598326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99749255,0.0009323178,0.00037974765,0.0003871811,0.00032294184,0.0004852305],"domain_scores_gemma":[0.9990649,0.00016700522,0.00009491856,0.000465792,0.00006142761,0.00014590964],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011471945,0.00015151834,0.00038064373,0.00037046277,0.00017449228,0.000008115756,0.00039863985,0.000009611826,0.0021104217],"category_scores_gemma":[0.00020057977,0.00014530757,0.00015642762,0.00038505282,0.00026834258,0.000035188277,0.00051995507,0.0004798546,0.00024563962],"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":[0.00060713233,0.00032506447,0.1314168,0.00007385796,0.00021090702,0.0025841275,0.00082175416,0.00019596133,0.7160861,0.0016082277,0.13119774,0.014872375],"study_design_scores_gemma":[0.0047193817,0.001885609,0.72116935,0.000067684305,0.000105270185,0.014489789,0.00033310827,0.0015682578,0.011537756,0.000071665854,0.24363026,0.0004218861],"about_ca_topic_score_codex":0.000032006345,"about_ca_topic_score_gemma":0.0000010419377,"teacher_disagreement_score":0.7045483,"about_ca_system_score_codex":0.00011780314,"about_ca_system_score_gemma":0.00007860887,"threshold_uncertainty_score":0.99880177},"labels":[],"label_agreement":null},{"id":"W4220665275","doi":"10.1007/s00330-022-08660-3","title":"Endovascular revascularization of acute arterial mesenteric ischemia: report of a 3-year experience from an intestinal stroke center unit","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Medicine; Revascularization; Thrombolysis; Surgery; Interventional radiology; Mesenteric ischemia; Stroke (engine); Single Center; Neuroradiology; Bowel resection; Radiology; Ischemia; Internal medicine; Myocardial infarction; Neurology","score_opus":0.01725716434522357,"score_gpt":0.27127536944639413,"score_spread":0.25401820510117057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220665275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952996,0.00008744353,0.0025019455,0.00004055402,0.00020164924,0.0002350386,0.00015466822,0.000024710564,0.0014543928],"genre_scores_gemma":[0.99480397,0.00002695121,0.0031592918,0.000058195797,0.00010963007,0.000021762187,0.0016097622,0.000027799379,0.00018265555],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99835956,0.0004839782,0.00044225727,0.00033519845,0.00022550921,0.00015352151],"domain_scores_gemma":[0.99896896,0.00002082277,0.00025451792,0.00058585126,0.000091179645,0.00007864082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023435461,0.00013472768,0.0003918506,0.000109438646,0.000073687304,0.0000037353761,0.00015235832,0.00002698252,0.0007651698],"category_scores_gemma":[0.000060505186,0.00012493713,0.00021569774,0.00014346708,0.00014623287,0.000061221916,0.00014480739,0.00015337921,0.00000881621],"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":[0.001762261,0.001840427,0.2563272,0.00005341465,0.0036986023,0.014761431,0.0028476578,0.000052736308,0.7165901,0.0002797278,0.0005251035,0.0012613436],"study_design_scores_gemma":[0.034293838,0.009222767,0.79048276,0.00024650138,0.0049789236,0.057754744,0.005156255,0.00068483036,0.06980929,0.00011100248,0.026305692,0.0009533717],"about_ca_topic_score_codex":0.000047092086,"about_ca_topic_score_gemma":6.804757e-7,"teacher_disagreement_score":0.6467808,"about_ca_system_score_codex":0.000036303445,"about_ca_system_score_gemma":0.00004536514,"threshold_uncertainty_score":0.83780724},"labels":[],"label_agreement":null},{"id":"W4220778172","doi":"10.1007/s00330-021-08333-7","title":"Correction to: Reporting standards for primary sclerosing cholangitis using MRI and MR cholangiopancreatography: guidelines from MR Working Group of the International Primary Sclerosing Cholangitis Study Group","year":2021,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Primary sclerosing cholangitis; Neuroradiology; Interventional radiology; Radiology; Internal medicine; Neurology","score_opus":0.05934772619453254,"score_gpt":0.3108488556443957,"score_spread":0.25150112944986314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220778172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93526894,0.01432864,0.0021611524,0.00020064262,0.037960522,0.0017505251,0.00072431314,0.0001434489,0.0074617974],"genre_scores_gemma":[0.902653,0.006612924,0.027350042,0.006780005,0.031232568,0.0001308101,0.014761177,0.0010559093,0.009423594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952232,0.0007483834,0.0018413273,0.0010149592,0.0006825905,0.0004894937],"domain_scores_gemma":[0.99600583,0.00026713707,0.0019258528,0.0008714851,0.0007393568,0.00019033901],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023431035,0.0005281463,0.0012939059,0.00036241297,0.0005083144,0.00021802925,0.00046945448,0.00020832635,0.00003852701],"category_scores_gemma":[0.0022339164,0.0004574683,0.00056876615,0.00042569128,0.000184336,0.00019242532,0.0007867703,0.0010904905,7.9819324e-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":[0.0010800698,0.00060785934,0.5963795,0.0005520462,0.0027314948,0.00041309124,0.0018292654,0.000057334863,0.042094264,0.000010040178,0.31540364,0.038841363],"study_design_scores_gemma":[0.0022774755,0.00049873395,0.94365156,0.0069663394,0.0011652363,0.0004404901,0.0007929491,0.00023257219,0.00006246946,0.000008874132,0.043434974,0.0004683533],"about_ca_topic_score_codex":0.0009186489,"about_ca_topic_score_gemma":0.000060007944,"teacher_disagreement_score":0.34727198,"about_ca_system_score_codex":0.0005532171,"about_ca_system_score_gemma":0.00038742702,"threshold_uncertainty_score":0.9997877},"labels":[],"label_agreement":null},{"id":"W4220786696","doi":"10.1007/s00330-022-08619-4","title":"Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium","year":2022,"lang":"en","type":"review","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Medicine; Neuroradiology; Chest pain; Agatston score; Coronary artery disease; Radiology; Interventional radiology; Meta-analysis; Computed tomography angiography; Ultrasound; Coronary angiography; Computed tomography; Angiography; Interventional cardiology; Cardiology; Internal medicine; Neurology; Coronary artery calcium","score_opus":0.11643408970819588,"score_gpt":0.301272418544151,"score_spread":0.1848383288359551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220786696","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":[0.008619952,0.9647937,0.000036608333,0.00006662899,0.0007358752,0.0020485702,0.023501486,0.000022639662,0.00017453996],"genre_scores_gemma":[0.34845376,0.49384493,0.0009894598,0.0012601695,0.00024801178,0.00088689243,0.15395874,0.0003311424,0.000026886793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996114,0.0015248249,0.00096616684,0.0006549409,0.00047671454,0.0002633655],"domain_scores_gemma":[0.99440396,0.0029961825,0.0009457068,0.0013832366,0.00014843766,0.00012246124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010116642,0.00037932178,0.002711632,0.0011616596,0.00005583424,0.000012569,0.0008554874,0.000056200493,0.00016252055],"category_scores_gemma":[0.0006263964,0.00025209013,0.0027873488,0.0014704317,0.0003666009,0.000045724508,0.0006345015,0.00032030098,9.638267e-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":[0.0004876698,0.0007976765,0.8257611,0.0010752665,0.14819734,0.000056187062,0.00007898587,0.00015059454,4.913435e-9,0.0000066994157,0.0072821816,0.016106311],"study_design_scores_gemma":[0.001500971,0.0005422359,0.5199747,0.00029687752,0.28422335,0.0000039643533,0.000021363856,0.000023685165,6.338432e-8,6.822315e-7,0.19320397,0.00020814964],"about_ca_topic_score_codex":0.00001963414,"about_ca_topic_score_gemma":0.000008174748,"teacher_disagreement_score":0.47094876,"about_ca_system_score_codex":0.00005054526,"about_ca_system_score_gemma":0.00017630658,"threshold_uncertainty_score":0.99999315},"labels":[],"label_agreement":null},{"id":"W4220890555","doi":"10.1007/s00330-022-08710-w","title":"Non-contrast CT markers of intracerebral hematoma expansion: a reliability study","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"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; Radiological Society of North America","keywords":"Neuroradiology; Medicine; Neurology; Hematoma; Contrast (vision); Intracerebral hemorrhage; Inter-rater reliability; Radiology; Nuclear medicine; Internal medicine; Statistics","score_opus":0.013087995104087306,"score_gpt":0.26743599075188523,"score_spread":0.2543479956477979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220890555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833614,0.00015651739,0.00006709875,0.0008669972,0.00028062533,0.0010515893,0.000016878965,0.00007608674,0.014122796],"genre_scores_gemma":[0.99704695,0.000006859288,0.00059574196,0.00026193247,0.00019542911,0.000049814273,0.000026826236,0.000047068832,0.0017693513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673724,0.0012349797,0.00059298537,0.00052575476,0.0004214907,0.00048756917],"domain_scores_gemma":[0.99871933,0.00014909173,0.00012919781,0.0007139094,0.00010428488,0.00018417256],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002334588,0.00020344948,0.00062951725,0.00018292053,0.00023539831,0.000007205455,0.0003370719,0.000024268189,0.0025912777],"category_scores_gemma":[0.00026075315,0.0001713521,0.00017135117,0.00034761734,0.00023889235,0.000048807447,0.00039066837,0.0008379024,0.000106281994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010409176,0.0071970816,0.8051854,0.0006851386,0.00060081494,0.020979028,0.005865835,0.0002556043,0.02758191,0.0005132106,0.026949227,0.09377759],"study_design_scores_gemma":[0.011809481,0.017728865,0.9256221,0.00004258016,0.0002330538,0.011757196,0.013295825,0.013245096,0.002205604,0.00011021259,0.0032905235,0.0006594371],"about_ca_topic_score_codex":0.0000563488,"about_ca_topic_score_gemma":0.0000034759194,"teacher_disagreement_score":0.12043674,"about_ca_system_score_codex":0.00013068532,"about_ca_system_score_gemma":0.00014801635,"threshold_uncertainty_score":0.99832046},"labels":[],"label_agreement":null},{"id":"W4220922564","doi":"10.1007/s00330-022-08644-3","title":"How to improve O-RADS MRI score for rating adnexal masses with cystic component?","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Radiology; Magnetic resonance imaging; Malignancy; Adnexal mass; Adnexal Diseases; Neuroradiology; Breast MRI; Effective diffusion coefficient; Logistic regression; Diffusion MRI; Nuclear medicine; Pathology; Internal medicine; Cancer; Breast cancer; Neurology; Laparoscopy; Mammography","score_opus":0.020971026973851788,"score_gpt":0.25001127927311545,"score_spread":0.22904025229926367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220922564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9467439,0.001336281,0.011432557,0.029690564,0.0014095135,0.0029296016,0.0002322395,0.00020412651,0.006021218],"genre_scores_gemma":[0.9885751,0.000010714978,0.0073410072,0.0019184973,0.0005582856,0.0002843999,0.000108794186,0.000060681617,0.0011425058],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987566,0.00021340098,0.00016455253,0.00043008596,0.00012218623,0.0003131621],"domain_scores_gemma":[0.9992777,0.00013949824,0.000087040826,0.00030510128,0.000042522723,0.00014815253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002636958,0.00016648626,0.00032671232,0.000080908256,0.00020473998,0.000025604486,0.0001173606,0.000015163201,0.00007245905],"category_scores_gemma":[0.000067499015,0.00012925413,0.000070853705,0.00011258101,0.000046698126,0.000026976702,0.00009640903,0.00015162547,0.000016521388],"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":[0.016624646,0.0040970743,0.38982725,0.0012654717,0.004851893,0.014947286,0.0069596446,0.0068103843,0.09601402,0.023744108,0.31199893,0.122859284],"study_design_scores_gemma":[0.020355722,0.034960896,0.19141762,0.00020422501,0.0009083445,0.0032033215,0.0014410075,0.0008780985,0.0021351548,0.00009536272,0.7435403,0.00085995544],"about_ca_topic_score_codex":0.000009143273,"about_ca_topic_score_gemma":0.0000043804434,"teacher_disagreement_score":0.43154135,"about_ca_system_score_codex":0.00016589553,"about_ca_system_score_gemma":0.00007523455,"threshold_uncertainty_score":0.52708304},"labels":[],"label_agreement":null},{"id":"W4221002581","doi":"10.1007/s00330-021-08466-9","title":"Evaluation of left atrial remodeling using cardiovascular magnetic resonance imaging in breast cancer patients treated with adjuvant trastuzumab","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; Mount Sinai Hospital; Canadian Centre for Applied Research in Cancer Control; Sunnybrook Health Science Centre; North York General Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Roche Canada","keywords":"Trastuzumab; Medicine; Ejection fraction; Breast cancer; Anthracycline; Internal medicine; Cardiology; Magnetic resonance imaging; Cancer; Oncology; Nuclear medicine; Radiology; Heart failure","score_opus":0.02237404138758586,"score_gpt":0.25666765078034026,"score_spread":0.2342936093927544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221002581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897192,0.008973486,0.000077181765,0.000049279184,0.000119550095,0.0005529428,0.000035894573,0.000021423552,0.0004510278],"genre_scores_gemma":[0.9994039,0.00012390118,0.00011966318,0.00007754575,0.0001732488,0.0000061316123,0.00004665507,0.0000396422,0.000009335865],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99727464,0.0013292122,0.00031257392,0.00032913784,0.0005509103,0.00020353612],"domain_scores_gemma":[0.9993711,0.000019911266,0.00009766747,0.00024343417,0.0002280168,0.00003988408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016870346,0.0001319362,0.0003883136,0.00015716795,0.000079392834,0.0000037054283,0.00007381613,0.000023000677,0.0000926366],"category_scores_gemma":[0.000035933343,0.00012517683,0.00016368517,0.0002097381,0.00006356326,0.00004887072,0.000031398882,0.00020526636,7.3322644e-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":[0.0016812064,0.00016367839,0.33084533,0.000033941575,0.00023460366,0.000105044,0.0018805639,0.13648997,0.0800725,0.000003435274,0.000035844394,0.44845387],"study_design_scores_gemma":[0.019900812,0.00056740927,0.88979995,0.00019970999,0.0012877764,0.0012685689,0.00031502664,0.08328454,0.002443381,0.000011382847,0.00062263693,0.00029880312],"about_ca_topic_score_codex":0.00025120875,"about_ca_topic_score_gemma":0.000008477836,"teacher_disagreement_score":0.55895466,"about_ca_system_score_codex":0.0006281446,"about_ca_system_score_gemma":0.00020087276,"threshold_uncertainty_score":0.51045626},"labels":[],"label_agreement":null},{"id":"W4224311012","doi":"10.1007/s00330-022-08790-8","title":"Combining quantitative susceptibility mapping to radiomics in diagnosing Parkinson’s disease and assessing cognitive impairment","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science and Technology Project of Nantong City; Jiangsu Commission of Health","keywords":"Medicine; Parkinson's disease; Pars compacta; Montreal Cognitive Assessment; Neuroradiology; Logistic regression; Substantia nigra; Putamen; Radiomics; Cognitive impairment; Internal medicine; Radiology; Pathology; Disease; Neurology; Psychiatry","score_opus":0.04224835674216373,"score_gpt":0.3063924313929094,"score_spread":0.2641440746507457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224311012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958125,0.0010555089,0.0008488803,0.00044330175,0.00021578975,0.0007702462,0.00007110058,0.00006152332,0.00072118203],"genre_scores_gemma":[0.9965806,0.00006132034,0.0017787721,0.0012617628,0.00004957219,0.00008823744,0.00010388747,0.0000433647,0.00003248123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731827,0.0011550138,0.00032003154,0.00064522255,0.00016157802,0.00039986966],"domain_scores_gemma":[0.99895096,0.00032059642,0.00010670947,0.00019874168,0.00003356152,0.0003894126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085206423,0.00021587443,0.00039688745,0.00028301383,0.000296334,0.0000324299,0.000081773534,0.000018878683,0.00007146274],"category_scores_gemma":[0.0002973528,0.00022236872,0.00007311471,0.00026564533,0.00008948263,0.00008060075,0.00025887633,0.00026689153,0.00001727086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012174537,0.0009084246,0.9782621,0.000063223415,0.00018126673,0.0054562944,0.0045673144,0.00016446513,0.0014382605,0.00040042304,0.00017363799,0.0071670813],"study_design_scores_gemma":[0.0035896304,0.00079724006,0.98814636,0.00014044775,0.00010901281,0.00014423265,0.0036676156,0.000961419,0.000030141675,0.00014984075,0.0020515525,0.00021247707],"about_ca_topic_score_codex":0.000030009478,"about_ca_topic_score_gemma":0.0000065837044,"teacher_disagreement_score":0.0098842345,"about_ca_system_score_codex":0.00036923942,"about_ca_system_score_gemma":0.00010692046,"threshold_uncertainty_score":0.9067933},"labels":[],"label_agreement":null},{"id":"W4224659691","doi":"10.1007/s00330-022-08760-0","title":"Correction to: Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium","year":2022,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","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; Montreal Heart Institute","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Interventional radiology; Coronary artery disease; Chest pain; Computed tomography angiography; Computed tomography; Ultrasound; Agatston score; Angiography; Neurology; Internal medicine; Coronary artery calcium","score_opus":0.04590351744376495,"score_gpt":0.2604660019557033,"score_spread":0.21456248451193835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224659691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7470273,0.018890109,0.0007541766,0.0018983524,0.107952535,0.009212987,0.10842358,0.00018430786,0.005656676],"genre_scores_gemma":[0.94536763,0.000049274196,0.00019655589,0.00093551696,0.00019096165,0.00015428079,0.052727345,0.00007722828,0.00030119423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99669814,0.00097569457,0.0007386615,0.00071135745,0.0005953508,0.00028077766],"domain_scores_gemma":[0.9959291,0.0016463301,0.0006987354,0.0012627973,0.000314271,0.0001487447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008416432,0.0003425234,0.0014230682,0.0013793095,0.00007379453,0.000016326403,0.0007084917,0.00006631719,0.00017208984],"category_scores_gemma":[0.0010318075,0.00025919316,0.0014278684,0.0014880623,0.000275399,0.00005176693,0.0005941727,0.00049022207,0.0000010216716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011309951,0.00045784892,0.5445891,0.00004560769,0.044149302,0.000022046697,0.000118396405,0.0010232878,1.0373451e-7,0.0000012186732,0.40824813,0.00021394895],"study_design_scores_gemma":[0.0016836651,0.001084992,0.8711279,0.000070953836,0.09453717,0.0000024737258,0.000065495915,0.00029169093,0.0000011333993,7.1209433e-7,0.03092963,0.00020418923],"about_ca_topic_score_codex":0.00008660007,"about_ca_topic_score_gemma":0.00006724001,"teacher_disagreement_score":0.3773185,"about_ca_system_score_codex":0.00007289635,"about_ca_system_score_gemma":0.00017904118,"threshold_uncertainty_score":0.99998605},"labels":[],"label_agreement":null},{"id":"W4225090655","doi":"10.1007/s00330-022-08794-4","title":"Treatment of chronic lateral epicondylosis: a randomized trial comparing the efficacy of ultrasound-guided tendon dry needling and open-release surgery","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Montréal; Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Dry needling; Medicine; Surgery; Adverse effect; Tennis elbow; Randomized controlled trial; Physical therapy; Elbow; Internal medicine; Acupuncture","score_opus":0.03908948402377008,"score_gpt":0.2901956821780877,"score_spread":0.2511061981543177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225090655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924694,0.0037465792,0.000012463129,0.0002938163,0.00037434546,0.0017010813,0.00001663035,0.000025422896,0.0013602892],"genre_scores_gemma":[0.99884117,0.00039296737,0.000071833536,0.00009229659,0.0002444682,0.00008126094,0.00008097327,0.00002807209,0.0001669904],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.996983,0.0016848911,0.0006979704,0.00028663984,0.000119691475,0.00022779216],"domain_scores_gemma":[0.99713606,0.0020274017,0.00035796597,0.00037756778,0.000026282294,0.000074737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068187667,0.00020032912,0.0014182724,0.00011782125,0.0001426192,0.000011167766,0.00015514522,0.000022770546,0.00011874004],"category_scores_gemma":[0.00019008678,0.00011817454,0.0003061365,0.00011902673,0.00028229083,0.000025842286,0.00012857515,0.00012826042,0.000002171078],"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":[0.9226219,0.0017679735,0.044376973,0.000085005275,0.003520766,0.00070996734,0.0038801176,0.00041324922,0.0085952105,0.0010017577,0.0009642336,0.012062833],"study_design_scores_gemma":[0.9597245,0.00289596,0.030976873,0.000034641525,0.0010755712,0.0015731333,0.00014787278,0.0001746625,0.0013280308,0.000045160432,0.0018779548,0.00014567215],"about_ca_topic_score_codex":0.00026151174,"about_ca_topic_score_gemma":0.0000032552716,"teacher_disagreement_score":0.037102554,"about_ca_system_score_codex":0.00011682461,"about_ca_system_score_gemma":0.00011844923,"threshold_uncertainty_score":0.48190176},"labels":[],"label_agreement":null},{"id":"W4225383598","doi":"10.1007/s00330-022-08808-1","title":"RETRACTED ARTICLE: Biparametric MR signal characteristics can predict histopathological measures of prostate cancer","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":true,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea","keywords":"Medicine; Prostate cancer; Prostate; Magnetic resonance imaging; Prostatectomy; Effective diffusion coefficient; Biopsy; Lumen (anatomy); Radiology; Neuroradiology; Diffusion MRI; Cancer; Intensity (physics); Nuclear medicine; Pathology; Neurology; Internal medicine","score_opus":0.034780888036527534,"score_gpt":0.25859015047430123,"score_spread":0.2238092624377737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225383598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99426377,0.0021458704,0.000013191025,0.0010021252,0.0003851399,0.00048770168,0.00046235466,0.00007984013,0.0011599873],"genre_scores_gemma":[0.99745315,0.00083486614,0.00011471198,0.0006874215,0.00019645011,0.00013275842,0.00014864448,0.000037250844,0.00039471395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791604,0.00062317844,0.00045845797,0.00038419722,0.00027619116,0.00034193997],"domain_scores_gemma":[0.99908924,0.00010299905,0.0002501807,0.00028675978,0.00011204553,0.00015877942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005562702,0.00017663497,0.0004814669,0.0001766693,0.00012231409,0.000005861175,0.00013727752,0.000045298544,0.000706841],"category_scores_gemma":[0.00017645427,0.000144435,0.00010065858,0.000405489,0.00019961118,0.000020115833,0.000110101406,0.0004826116,0.00001085746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086182734,0.0006819755,0.942508,0.000048756432,0.00016189498,0.002044796,0.00074736925,0.000103082,0.015807092,0.00006758676,0.005840091,0.031127555],"study_design_scores_gemma":[0.0017052181,0.002700517,0.97086483,0.000024875753,0.00018337408,0.00040698258,0.00005371275,0.000080598555,0.0016641977,0.000013242166,0.022160938,0.00014150626],"about_ca_topic_score_codex":0.000043310916,"about_ca_topic_score_gemma":0.0000024622861,"teacher_disagreement_score":0.030986048,"about_ca_system_score_codex":0.0003627794,"about_ca_system_score_gemma":0.00016225199,"threshold_uncertainty_score":0.7739413},"labels":[],"label_agreement":null},{"id":"W4225420187","doi":"10.1007/s00330-022-08822-3","title":"Prostate biopsy in the era of MRI-targeting: towards a judicious use of additional systematic biopsy","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Sinai Health System; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto; University Health Network","funders":"Royal College of Surgeons in Ireland; Deutsche Forschungsgemeinschaft; Ontario Institute for Cancer Research","keywords":"Medicine; Interventional radiology; Neuroradiology; Biopsy; Radiology; Prostate biopsy; Prostate; Ultrasound; Magnetic resonance imaging; Medical physics; Internal medicine; Neurology","score_opus":0.025071279229292195,"score_gpt":0.25308358393467567,"score_spread":0.22801230470538347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225420187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909869,0.0025404901,0.000015147662,0.002062124,0.00019776287,0.0013308056,0.0015553162,0.000024332969,0.0012871337],"genre_scores_gemma":[0.99787134,0.00015895766,0.00048404923,0.00053280604,0.000049207512,0.00023885546,0.0005720703,0.000022387658,0.00007034571],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9978082,0.0010087143,0.0005505659,0.00022070887,0.00021537532,0.00019640858],"domain_scores_gemma":[0.998982,0.00032370092,0.00029452657,0.00029962673,0.000060478043,0.000039684564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070936646,0.00012738405,0.00047418545,0.00010536188,0.000056650897,0.0000045713596,0.00014526345,0.000016536476,0.0005578085],"category_scores_gemma":[0.00021125324,0.00008354877,0.00010524559,0.00025644188,0.00014622962,0.00002833128,0.00008054383,0.00022866108,0.000011540771],"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":[0.0059369677,0.013558123,0.3132162,0.034631796,0.004655699,0.030334862,0.07111119,0.004891777,0.026051676,0.013888244,0.4748414,0.006882059],"study_design_scores_gemma":[0.011718182,0.010268463,0.92182523,0.005309375,0.00095484336,0.012135054,0.0054541356,0.00069946423,0.0013340521,0.00042198366,0.029158777,0.0007204332],"about_ca_topic_score_codex":0.00005915947,"about_ca_topic_score_gemma":0.0000011127003,"teacher_disagreement_score":0.608609,"about_ca_system_score_codex":0.000095528165,"about_ca_system_score_gemma":0.00009853139,"threshold_uncertainty_score":0.6107612},"labels":[],"label_agreement":null},{"id":"W4226032920","doi":"10.1007/s00330-022-08769-5","title":"Liver imaging: it is time to adopt standardized terminology","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Terminology; Lexicon; Medicine; Neuroradiology; Radiology; Population; Hepatocellular carcinoma; Interventional radiology; Medical physics; Artificial intelligence; Computer science; Neurology; Linguistics; Internal medicine; Psychiatry","score_opus":0.040812676182343466,"score_gpt":0.24279554161827757,"score_spread":0.2019828654359341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226032920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79937327,0.0020086982,0.00016131806,0.028830472,0.00036532484,0.00093132,0.0001272207,0.00027410898,0.16792826],"genre_scores_gemma":[0.952975,0.000030481504,0.00082217366,0.023162115,0.00024222743,0.00004278093,0.00012526156,0.00006362717,0.022536336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981349,0.00067303993,0.00024206872,0.00042277385,0.00014957754,0.00037763626],"domain_scores_gemma":[0.99926066,0.0000622113,0.000056043893,0.0003932843,0.000042093718,0.00018570383],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004192228,0.00017880167,0.00037397462,0.00018074637,0.00017426528,0.000009189083,0.0001833769,0.000024437153,0.016726328],"category_scores_gemma":[0.0000483666,0.00016639689,0.00014907209,0.00016152437,0.000080342026,0.000023410481,0.00026054768,0.00023743391,0.0047412254],"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":[0.00070463715,0.00016198214,0.146763,0.000014824105,0.00019753703,0.011388125,0.0016970637,0.0000017924607,0.005873259,0.00003066781,0.80044925,0.032717846],"study_design_scores_gemma":[0.0018763943,0.0010752367,0.014875489,0.0000059611884,0.00013748388,0.0025463135,0.00005661891,0.00035976578,0.00047454904,0.000006913774,0.97840726,0.00017800355],"about_ca_topic_score_codex":0.000005603619,"about_ca_topic_score_gemma":2.1423334e-7,"teacher_disagreement_score":0.177958,"about_ca_system_score_codex":0.0001270484,"about_ca_system_score_gemma":0.00006648365,"threshold_uncertainty_score":0.9960337},"labels":[],"label_agreement":null},{"id":"W4234942351","doi":"10.1007/s00330-020-07520-2","title":"Correction to: The practice of emergency radiology throughout Europe: a survey from the European Society of Emergency Radiology on volume, staffing, equipment, and scheduling","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton General Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Interventional radiology; Staffing; Medicine; Neuroradiology; Radiology; Volume (thermodynamics); Medical physics; Medical emergency; Nursing","score_opus":0.06288003994061042,"score_gpt":0.3406914623747406,"score_spread":0.27781142243413015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234942351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9003151,0.0067895865,0.0077904835,0.045174703,0.012947129,0.001193688,0.000096377655,0.00012865647,0.025564255],"genre_scores_gemma":[0.97765976,0.010745714,0.0016104938,0.005764949,0.002693335,0.000010505338,0.00024851222,0.00010975175,0.0011569904],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9876365,0.009674958,0.0011578783,0.0008327483,0.00019748593,0.0005004456],"domain_scores_gemma":[0.9957327,0.0019331317,0.0010930115,0.0007588173,0.00026632007,0.00021598159],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004776716,0.0003712873,0.0007372891,0.00005898636,0.0002687886,0.00001123313,0.0005896745,0.00011909144,0.00019959426],"category_scores_gemma":[0.009194547,0.00024791175,0.00021257941,0.000596723,0.00034193293,0.00015342508,0.000261822,0.0009742868,0.0001933134],"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":[0.0019860037,0.00031905907,0.20832902,0.000054938362,0.001166604,0.000039726165,0.020645922,0.0010398269,0.015493481,0.00020375065,0.73997116,0.010750486],"study_design_scores_gemma":[0.001216749,0.003060009,0.6970035,0.00004570724,0.00045219166,0.00042012692,0.0026230752,0.002392489,0.00008085195,0.000013674389,0.29237813,0.00031350114],"about_ca_topic_score_codex":0.0004338061,"about_ca_topic_score_gemma":0.000029316698,"teacher_disagreement_score":0.48867446,"about_ca_system_score_codex":0.000052848583,"about_ca_system_score_gemma":0.00014650312,"threshold_uncertainty_score":0.9999973},"labels":[],"label_agreement":null},{"id":"W4238652079","doi":"10.1007/s00330-020-07385-5","title":"Risk assessment of acute pulmonary embolism utilizing coronary artery calcifications in patients that have undergone CT pulmonary angiography and transthoracic echocardiography","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Pulmonary embolism; Neuroradiology; Internal medicine; Cardiology; Odds ratio; Interventional radiology; Pulmonary artery; Pulmonary angiography; Logistic regression; Angiography; Radiology","score_opus":0.02271148096579029,"score_gpt":0.26930716894572526,"score_spread":0.24659568797993497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238652079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98160213,0.00158032,0.0010793218,0.0010880056,0.00015344688,0.0009620024,0.00013067939,0.000089636094,0.01331445],"genre_scores_gemma":[0.99196607,0.0058747404,0.000789971,0.00090883224,0.00008224994,0.000031290805,0.00027521027,0.00006134059,0.000010284141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975225,0.0006713637,0.00054968253,0.00063926086,0.00022702149,0.00039019814],"domain_scores_gemma":[0.99897724,0.00008869694,0.00022368843,0.00041269092,0.000053360713,0.00024429802],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038582095,0.00029638797,0.0008231843,0.00051554583,0.00010951591,0.000013130487,0.00019097213,0.000058287187,0.000027047767],"category_scores_gemma":[0.000013946227,0.00028482068,0.0003996889,0.0004731383,0.00027611144,0.00012633341,0.000113415575,0.0003639796,0.00000693948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015518992,0.0008124283,0.980338,0.00010971159,0.0011538899,0.001067076,0.0004892826,0.000054245647,0.00048503448,0.00026455914,0.00051179354,0.014558807],"study_design_scores_gemma":[0.0011623737,0.00063722325,0.9948552,0.00007399469,0.0008730157,0.00011423397,0.0004432217,0.0007312159,0.000023705239,0.0000603933,0.00079533004,0.00023007994],"about_ca_topic_score_codex":0.000024976298,"about_ca_topic_score_gemma":0.0000017840986,"teacher_disagreement_score":0.014517231,"about_ca_system_score_codex":0.0000305308,"about_ca_system_score_gemma":0.000027053393,"threshold_uncertainty_score":0.9999604},"labels":[],"label_agreement":null},{"id":"W4280517617","doi":"10.1007/s00330-022-08849-6","title":"Incidence of infectious complications following ultrasound-guided percutaneous musculoskeletal interventions with the use of an uncovered transducer footprint","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Victoria Hospital; McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Footprint; Interventional radiology; Percutaneous; Ultrasound; Radiology; Neuroradiology; Transducer; Psychological intervention; Incidence (geometry); Surgery; Acoustics; Nursing; Neurology","score_opus":0.03761240240144095,"score_gpt":0.299306064673768,"score_spread":0.26169366227232704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280517617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514145,0.000055478387,0.0018222297,0.0001901399,0.0001208454,0.00041815807,0.000038023856,0.000044503002,0.0021691578],"genre_scores_gemma":[0.9986546,0.000012269321,0.0008644498,0.00010432978,0.000026579664,0.000028963359,0.00007961588,0.000026057018,0.00020314027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862635,0.0005574086,0.00032378195,0.00021406249,0.00013810316,0.00014027896],"domain_scores_gemma":[0.99907386,0.00019411715,0.00015743708,0.00044474064,0.000076009586,0.000053823365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025788034,0.00011520714,0.00024668055,0.00011326079,0.0002574022,0.0000063192683,0.00009084274,0.000017355722,0.000121896184],"category_scores_gemma":[0.0000737467,0.00008086119,0.00026902102,0.00024733588,0.00018100976,0.000044934663,0.000048910108,0.00020822573,0.000004080576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089261634,0.008463132,0.7310375,0.00046426966,0.006031921,0.002617453,0.015241119,0.047056198,0.15432893,0.0046016457,0.00085875666,0.028406443],"study_design_scores_gemma":[0.0037573539,0.009922015,0.92363524,0.00011642609,0.0015323376,0.04829015,0.0009445262,0.00021526306,0.00023645608,0.000043737804,0.010995847,0.00031063502],"about_ca_topic_score_codex":0.0002598926,"about_ca_topic_score_gemma":0.00009118131,"teacher_disagreement_score":0.19259775,"about_ca_system_score_codex":0.00007337911,"about_ca_system_score_gemma":0.000057381763,"threshold_uncertainty_score":0.32974237},"labels":[],"label_agreement":null},{"id":"W4282050293","doi":"10.1007/s00330-022-08867-4","title":"Evaluation of the T2-weighted (T2W) adrenal MRI calculator to differentiate adrenal pheochromocytoma from lipid-poor adrenal adenoma","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto General Hospital; University of Alberta; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Pheochromocytoma; Neuroradiology; Primary aldosteronism; Adenoma; Logistic regression; Adrenal adenoma; Internal medicine; Radiology; Nuclear medicine; Urology; Neurology; Blood pressure","score_opus":0.02394636419387154,"score_gpt":0.2635735146416202,"score_spread":0.23962715044774868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282050293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918713,0.00082740217,0.00032520242,0.0011510703,0.0012419755,0.0008464201,0.00029554832,0.00008985743,0.0033512153],"genre_scores_gemma":[0.99600583,0.0000035000924,0.00023164527,0.0011680499,0.0012829719,0.00005636724,0.00030514842,0.000075476615,0.0008709964],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9934994,0.0032783046,0.0007588312,0.0007031153,0.0012199209,0.00054041075],"domain_scores_gemma":[0.99812657,0.00016341035,0.00037344295,0.00076913164,0.00026095743,0.00030649413],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015743641,0.0003650866,0.00066397875,0.00021594905,0.00035380095,0.00001375393,0.00063152163,0.00007300361,0.006656944],"category_scores_gemma":[0.00024161051,0.00026294854,0.00035254532,0.0005076976,0.00022079826,0.000046742465,0.0005705317,0.0006611813,0.00025474443],"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":[0.026879841,0.0082812235,0.090464905,0.00045190213,0.012265222,0.02539984,0.027226413,0.022291267,0.29658058,0.0068037584,0.35717544,0.12617959],"study_design_scores_gemma":[0.009541068,0.0021558295,0.9446469,0.00016250789,0.0018264928,0.009597931,0.00032271576,0.0091820145,0.012019567,0.00038225134,0.009487858,0.00067488424],"about_ca_topic_score_codex":0.000076853445,"about_ca_topic_score_gemma":0.000025740304,"teacher_disagreement_score":0.85418195,"about_ca_system_score_codex":0.00027818454,"about_ca_system_score_gemma":0.00037071336,"threshold_uncertainty_score":0.9999823},"labels":[],"label_agreement":null},{"id":"W4283262609","doi":"10.1007/s00330-022-08890-5","title":"Assessment of hepatic arterial hemodynamics with 4D flow MRI: in vitro analysis of motion and spatial resolution related error and in vivo feasibility study in 20 volunteers","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Siemens (Canada); Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Fondation de l'Association des radiologistes du Québec; Siemens Healthineers; Canada First Research Excellence Fund","keywords":"Medicine; Hemodynamics; In vivo; Artery; Nuclear medicine; Biomedical engineering; Radiology; Internal medicine; Biology","score_opus":0.011055755073826282,"score_gpt":0.27409317334644767,"score_spread":0.2630374182726214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283262609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653214,0.000014231433,0.0027301242,0.00007899915,0.000033999695,0.0005023648,0.000045679193,0.000010930542,0.00005150671],"genre_scores_gemma":[0.99867696,0.000023666917,0.0011685933,0.000015750296,0.0000043844484,0.0000063357706,0.0000896862,0.00000905369,0.0000055835894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983782,0.00077212905,0.00042874107,0.0002257093,0.00010007555,0.00009514328],"domain_scores_gemma":[0.99966794,0.000044764864,0.00011111115,0.0001368032,0.000016858705,0.0000225399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076886127,0.00008109495,0.0004250918,0.0004730011,0.000018725821,0.0000019243128,0.000036911282,0.000024546112,0.000031462074],"category_scores_gemma":[0.000017122726,0.00007417927,0.000024601455,0.00042587885,0.00008338045,0.000024161196,0.000026407393,0.00017008322,2.704592e-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":[0.001162007,0.00034292208,0.9791668,0.000054385815,0.0000750929,0.000073194395,0.0013124206,0.005409501,0.012292543,0.0000063805887,7.55463e-7,0.00010397576],"study_design_scores_gemma":[0.0028123977,0.0007855148,0.80435675,0.000009578027,0.00018402262,0.000012902538,0.00035800337,0.19132188,0.00010788086,0.0000049273754,4.0946063e-7,0.000045719382],"about_ca_topic_score_codex":0.0005649921,"about_ca_topic_score_gemma":0.0029269161,"teacher_disagreement_score":0.18591237,"about_ca_system_score_codex":0.00012675021,"about_ca_system_score_gemma":0.000026652937,"threshold_uncertainty_score":0.30249426},"labels":[],"label_agreement":null},{"id":"W4285090978","doi":"10.1007/s00330-022-08976-0","title":"Improved differentiation between hypo/hypertelorism and normal fetuses based on MRI using automatic ocular biometric measurements, ocular ratios, and machine learning multi-parametric classification","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Ultrasound; Percentile; Hypertelorism; Artificial intelligence; Nuclear medicine; Mathematics; Radiology; Anatomy; Computer science; Statistics","score_opus":0.08696169288495806,"score_gpt":0.2621137921033245,"score_spread":0.17515209921836647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285090978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984269,0.0018343246,0.012625906,0.00037244827,0.00014979705,0.0004950167,0.000015544465,0.00011446032,0.00012350906],"genre_scores_gemma":[0.9976705,0.00015096611,0.0013555946,0.00041644392,0.0001008612,0.000012617006,0.00021735554,0.000036193465,0.000039524413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735874,0.0012649996,0.00037504348,0.00047284874,0.00025734317,0.00027101496],"domain_scores_gemma":[0.9991482,0.00027356573,0.0002141573,0.00019044914,0.00003928668,0.0001343481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006977271,0.00021902857,0.00037795916,0.0007966971,0.0003808606,0.000026684495,0.000097164564,0.000060497256,0.000068411864],"category_scores_gemma":[0.0006239184,0.00018608762,0.000069424925,0.0009168862,0.000090017755,0.00005394367,0.00009598298,0.0004619524,0.000006337267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030830596,0.00050468417,0.89468896,0.00018764808,0.00020538118,0.0000872235,0.00014188881,0.0018943787,0.036876857,0.000015855263,0.0000619053,0.06502692],"study_design_scores_gemma":[0.0022645998,0.0010759287,0.58561313,0.000004146435,0.00020676112,0.000044479213,0.00002264879,0.4099484,0.00006604699,0.000004186339,0.0005963459,0.00015331605],"about_ca_topic_score_codex":0.000027811731,"about_ca_topic_score_gemma":4.8258437e-7,"teacher_disagreement_score":0.40805402,"about_ca_system_score_codex":0.00006258665,"about_ca_system_score_gemma":0.000025583255,"threshold_uncertainty_score":0.7588433},"labels":[],"label_agreement":null},{"id":"W4289836257","doi":"10.1007/s00330-022-08986-y","title":"The diagnostic accuracy of MRI for evaluating the posterolateral corner in acute knee dislocation","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Credit Valley Hospital; Ottawa Hospital","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Grading (engineering); Ligament; Knee Dislocation; Tears; Medial collateral ligament; Magnetic resonance imaging; Nuclear medicine; Surgery; Neurology","score_opus":0.020717099227934,"score_gpt":0.32397356982821296,"score_spread":0.30325647060027894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289836257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929659,0.00037678855,0.00047911674,0.0039778794,0.00051278825,0.0008140213,0.000015909245,0.000031712458,0.00082590425],"genre_scores_gemma":[0.99830467,0.000100485784,0.00036492792,0.00049284735,0.000105116036,0.000114772745,0.000025667685,0.000016152368,0.00047535976],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99883074,0.000501599,0.0003349245,0.00012496562,0.000070856506,0.00013690293],"domain_scores_gemma":[0.99827987,0.0012596718,0.00017767682,0.0002216685,0.00004497282,0.000016167081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011652583,0.00006541832,0.00015192952,0.000047718615,0.00022408321,0.000006882092,0.00013415945,0.000014881519,0.00004009683],"category_scores_gemma":[0.00061380846,0.00003565925,0.000065799446,0.000084856634,0.00014697091,0.000021788032,0.000084914995,0.00018473114,0.0000025432162],"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":[0.00548814,0.00029051767,0.13901749,0.00016785337,0.00072502403,0.00010194273,0.008630723,0.00093582,0.04763112,0.013343454,0.038244773,0.74542314],"study_design_scores_gemma":[0.0070492034,0.017158773,0.8319809,0.00014314282,0.0005226339,0.004895779,0.0031968628,0.011177497,0.0035480594,0.0046420456,0.11520053,0.00048458905],"about_ca_topic_score_codex":0.000008153805,"about_ca_topic_score_gemma":0.0000021917242,"teacher_disagreement_score":0.74493855,"about_ca_system_score_codex":0.000035017634,"about_ca_system_score_gemma":0.000034700704,"threshold_uncertainty_score":0.17234896},"labels":[],"label_agreement":null},{"id":"W4292488318","doi":"10.1007/s00330-022-09041-6","title":"Identification of MRI features associated with injury type, severity, and prognosis in drug-induced liver injury","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Drug-Induced Hepatotoxicity and Protection","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Medicine; Liver injury; Internal medicine; Odds ratio; Ascites; Interventional radiology; Gastroenterology; Magnetic resonance imaging; Liver transplantation; Confidence interval; Culprit; Neuroradiology; Surgery; Radiology; Transplantation; Neurology","score_opus":0.05520864429480346,"score_gpt":0.3496054994614809,"score_spread":0.29439685516667746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292488318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960823,0.00019223569,0.0000052605433,0.0003535277,0.0006473215,0.0005820324,0.000097449156,0.00006908615,0.0019707584],"genre_scores_gemma":[0.9984574,0.0001445891,0.000019830306,0.0005782293,0.00007742994,0.00005997935,0.00004886445,0.000030925872,0.0005828022],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9950789,0.0037592791,0.00038145224,0.0003678179,0.00012339445,0.00028915846],"domain_scores_gemma":[0.99920505,0.00019315869,0.0003020821,0.00014954856,0.0000746697,0.00007551674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021067183,0.00017480055,0.00028273722,0.00024837276,0.00029160987,0.000010496769,0.00023226975,0.00013562017,0.00015705828],"category_scores_gemma":[0.00013761541,0.00017850801,0.000037323032,0.00050677796,0.00017175182,0.00009408855,0.00018768066,0.0011841614,0.000018211218],"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":[0.0042307395,0.0018816411,0.20372017,0.0001686216,0.00064473675,0.0004396201,0.010360911,0.00070499454,0.70510256,0.0016027372,0.018526983,0.052616265],"study_design_scores_gemma":[0.0028234664,0.0020018846,0.8068569,0.000041028685,0.00021155308,0.00036681854,0.0005092498,0.0012273222,0.15736139,0.00037521814,0.027436133,0.0007890504],"about_ca_topic_score_codex":0.00008095624,"about_ca_topic_score_gemma":0.00009423397,"teacher_disagreement_score":0.6031367,"about_ca_system_score_codex":0.00011374308,"about_ca_system_score_gemma":0.000059949158,"threshold_uncertainty_score":0.72793454},"labels":[],"label_agreement":null},{"id":"W4293018987","doi":"10.1007/s00330-022-09057-y","title":"Correlation of transcriptional subtypes with a validated CT radiomics score in resectable pancreatic ductal adenocarcinoma","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University Health Network; University of Toronto; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Royal College of Surgeons in Ireland; Deutsche Forschungsgemeinschaft; Ontario Institute for Cancer Research","keywords":"Medicine; Internal medicine; Hazard ratio; Confidence interval; Oncology; Neuroradiology; Clinical endpoint; Pancreatic ductal adenocarcinoma; Adenocarcinoma; Correlation; Radiology; Pancreatic cancer; Clinical trial; Cancer","score_opus":0.032086098341088484,"score_gpt":0.27186231404701894,"score_spread":0.23977621570593044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293018987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688513,0.0013341194,0.000320951,0.00029214117,0.00008707344,0.00044086378,0.00002466228,0.000027497732,0.010587555],"genre_scores_gemma":[0.997172,0.0000837175,0.00083313155,0.0001024075,0.000071526,0.000030259647,0.00022033406,0.00003142727,0.0014552181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977531,0.0010384194,0.00037052308,0.00029228965,0.00024093899,0.0003047572],"domain_scores_gemma":[0.9993058,0.00019580849,0.00010760672,0.00024838818,0.00005831482,0.00008408946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009213761,0.0001264087,0.00051703356,0.00030274433,0.000102146114,0.000003345098,0.00014666998,0.000026725158,0.0007914425],"category_scores_gemma":[0.000114568946,0.000108310276,0.000053497482,0.00041321357,0.00026331458,0.000042743177,0.000048559745,0.00046297026,0.000020640085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025375416,0.00020209578,0.98461705,0.00005177989,0.0001413747,0.0017076383,0.0006887342,0.000389066,0.007938777,0.0011512558,0.00046697046,0.000107691776],"study_design_scores_gemma":[0.0042527462,0.0023180933,0.9825626,0.000038912538,0.00014854285,0.006122717,0.00036681563,0.003250553,0.00007558523,0.000074229465,0.0006809239,0.000108266315],"about_ca_topic_score_codex":0.000116038675,"about_ca_topic_score_gemma":0.000016566592,"teacher_disagreement_score":0.0102868425,"about_ca_system_score_codex":0.0001719009,"about_ca_system_score_gemma":0.00030609453,"threshold_uncertainty_score":0.86657405},"labels":[],"label_agreement":null},{"id":"W4293030580","doi":"10.1007/s00330-022-09102-w","title":"Proportion of malignancy in Bosniak classification of cystic renal masses version 2019 (v2019) classes: systematic review and meta-analysis","year":2022,"lang":"en","type":"review","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Malignancy; Medicine; IIf; Neuroradiology; Radiology; Internal medicine","score_opus":0.11929453783570622,"score_gpt":0.34003052151902446,"score_spread":0.22073598368331826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293030580","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":[0.000083717074,0.9950281,0.00003642415,0.0000423138,0.000036571233,0.0034354609,0.00010230177,0.000015780079,0.0012193678],"genre_scores_gemma":[0.0012024507,0.99621433,0.00027809743,0.000035936187,0.000015076368,0.0002030105,0.0011234683,0.000054212065,0.0008734187],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99188876,0.0044874763,0.0024199155,0.00063861755,0.00035823038,0.00020697016],"domain_scores_gemma":[0.9957641,0.00045010142,0.0026113233,0.0009900306,0.00010370032,0.000080780206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021307156,0.00043505,0.008820146,0.00083055225,0.00002761924,0.0000044565927,0.00023563918,0.00011724758,0.000484099],"category_scores_gemma":[0.00044750952,0.00028189906,0.0016291891,0.00096654,0.00011860074,0.000040503055,0.00011342124,0.0003235715,0.00003468566],"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":[0.000024382996,0.0001611601,0.00007241089,0.95888996,0.039236333,0.00028890543,0.000027351432,0.0000022154522,0.000020607124,0.000092637085,0.0004140056,0.0007700486],"study_design_scores_gemma":[0.00028881765,0.00062580226,0.00061878003,0.02476607,0.93562645,0.0007053553,0.00001920647,0.0000049996092,0.0000024077262,0.0000027790768,0.037121553,0.0002177868],"about_ca_topic_score_codex":0.000011916258,"about_ca_topic_score_gemma":0.000001522569,"teacher_disagreement_score":0.9341239,"about_ca_system_score_codex":0.00024308046,"about_ca_system_score_gemma":0.00017998106,"threshold_uncertainty_score":0.99996334},"labels":[],"label_agreement":null},{"id":"W4293367569","doi":"10.1007/s00330-022-09056-z","title":"Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"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; Toronto General Hospital; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; American Heart Association","keywords":"Medicine; Reproducibility; Neuroradiology; Intraclass correlation; Radiology; Aortic dissection; Nuclear medicine; Interventional radiology; Aorta; Surgery; Statistics; Mathematics","score_opus":0.022618313899642833,"score_gpt":0.2505434285807639,"score_spread":0.22792511468112106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293367569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594015,0.00021832102,0.00018158877,0.00010292161,0.00018125959,0.0003026658,0.000018289402,0.000058152902,0.0029966286],"genre_scores_gemma":[0.99933803,0.000046751764,0.00019130559,0.000101867365,0.00005539858,0.000045687604,0.00008705418,0.00001962063,0.00011430818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978119,0.0012506437,0.0003449063,0.00031661207,0.000090862566,0.00018504391],"domain_scores_gemma":[0.9993502,0.00009933306,0.00013166877,0.00033183105,0.00001495361,0.00007200995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005676413,0.00012128883,0.00029470067,0.000089434965,0.00005558559,0.0000019208992,0.00010307843,0.000026012365,0.0007441665],"category_scores_gemma":[0.00022551077,0.00009953893,0.00010137598,0.00015974659,0.00013057793,0.000029556764,0.00012779616,0.0002156417,0.000012596417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048451198,0.0008202239,0.9917249,0.000017933058,0.00012904208,0.00028053095,0.0010451534,0.00007467327,0.0026645137,0.00006621815,0.000286962,0.0024053336],"study_design_scores_gemma":[0.0014248914,0.00094289315,0.9958753,0.0000076107062,0.00010176342,0.00010727631,0.0004608029,0.00045925778,0.0001885958,0.00012619859,0.00022657956,0.00007883837],"about_ca_topic_score_codex":0.00006149408,"about_ca_topic_score_gemma":0.0000026270197,"teacher_disagreement_score":0.0041503883,"about_ca_system_score_codex":0.00010612717,"about_ca_system_score_gemma":0.000031389274,"threshold_uncertainty_score":0.81481016},"labels":[],"label_agreement":null},{"id":"W4294090766","doi":"10.1007/s00330-022-09028-3","title":"Evaluation of an artificial intelligence coronary artery calcium scoring model from computed tomography","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","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 Ottawa","funders":"British Heart Foundation; Israel Cancer Research Fund","keywords":"Medicine; Intraclass correlation; Neuroradiology; Confidence interval; Coronary artery calcium; Computed tomography; Nuclear medicine; Interventional radiology; Radiology; Coronary artery disease; Cardiology; Internal medicine; Neurology","score_opus":0.09017728234369597,"score_gpt":0.3198913448692264,"score_spread":0.2297140625255304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294090766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716213,0.0007522459,0.023780335,0.00008747622,0.00068440964,0.00020566247,0.00006534938,0.00007064499,0.0027326061],"genre_scores_gemma":[0.99706244,0.0000041111366,0.001982312,0.00032837284,0.00030132435,0.000008254039,0.0002807654,0.000023907418,0.000008491993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979429,0.0009877466,0.00029622338,0.00027518903,0.00033837874,0.00015952587],"domain_scores_gemma":[0.9992088,0.00014583777,0.00008715712,0.00032963871,0.00014894617,0.00007959195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013951239,0.000099856814,0.00023898596,0.00015427721,0.0000864973,0.0000055255373,0.00011295688,0.00001848675,0.00008370037],"category_scores_gemma":[0.00015723245,0.00010817854,0.00009470732,0.00015993568,0.00010678357,0.00003351302,0.000102042366,0.00022443366,0.000014315299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068280444,0.0008665445,0.027745211,0.000022506885,0.00042188505,0.0007040263,0.0032164592,0.6489039,0.042242877,0.0009283759,0.002402499,0.2718629],"study_design_scores_gemma":[0.0006090213,0.0006262721,0.17477918,0.000027879101,0.000538487,0.00042478094,0.000491252,0.8180359,0.0019040571,0.0022621865,0.00011661215,0.00018434552],"about_ca_topic_score_codex":0.000021742766,"about_ca_topic_score_gemma":0.0000011956316,"teacher_disagreement_score":0.27167857,"about_ca_system_score_codex":0.000054079832,"about_ca_system_score_gemma":0.00012417788,"threshold_uncertainty_score":0.44113928},"labels":[],"label_agreement":null},{"id":"W4294125334","doi":"10.1007/s00330-022-09082-x","title":"CT-based Bosniak classification of cystic renal lesions: is version 2019 an improvement on version 2005?","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"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; Histopathology; Radiology; Conservative management; Neuroradiology; Interventional radiology; Surgery; Pathology","score_opus":0.028625631585660172,"score_gpt":0.2598683050130072,"score_spread":0.231242673427347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294125334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111146,0.00036374968,0.00008212543,0.0009300989,0.00031033426,0.0004779073,0.000093029834,0.00005167279,0.0065796417],"genre_scores_gemma":[0.9961954,0.000039842176,0.00032005977,0.0010030038,0.000105720595,0.000015135833,0.00078860496,0.00003741657,0.0014948467],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979546,0.0006790546,0.00034053688,0.00044669738,0.00032392543,0.00025517878],"domain_scores_gemma":[0.998869,0.00010202051,0.00020822506,0.00062140025,0.00004935871,0.00015002169],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005501528,0.00017287051,0.00027604762,0.00023160178,0.00017054401,0.0000039142437,0.00017512025,0.000024689843,0.0011901046],"category_scores_gemma":[0.000039017115,0.00015125815,0.0001162084,0.00012885497,0.00008124358,0.0000305916,0.00008426039,0.00024759752,0.000355745],"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":[0.0044698804,0.0014337957,0.005289016,0.00008097749,0.00012351225,0.0009330645,0.000230354,0.0010574852,0.8248329,0.00018899095,0.15135728,0.010002762],"study_design_scores_gemma":[0.015445944,0.039417036,0.6359023,0.00017998955,0.00057007774,0.00053809705,0.0006679022,0.0052654194,0.09316119,0.000028437706,0.20825365,0.0005700002],"about_ca_topic_score_codex":0.000021130796,"about_ca_topic_score_gemma":4.947297e-7,"teacher_disagreement_score":0.7316717,"about_ca_system_score_codex":0.00046155177,"about_ca_system_score_gemma":0.00011637884,"threshold_uncertainty_score":0.99972296},"labels":[],"label_agreement":null},{"id":"W4297175524","doi":"10.1007/s00330-022-09148-w","title":"CT imaging findings in lung transplant recipients with COVID-19","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Interventional radiology; Neuroradiology; Coronavirus disease 2019 (COVID-19); Radiology; Lung; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ultrasound; Pathology; Internal medicine; Neurology","score_opus":0.037721135321675425,"score_gpt":0.3762273014812985,"score_spread":0.3385061661596231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297175524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97231156,0.0004003036,0.00076050445,0.019986944,0.00021937139,0.0005739162,0.00004167065,0.00012240546,0.005583298],"genre_scores_gemma":[0.98767036,0.00017840049,0.00011243838,0.010866436,0.000086354725,0.000036967074,0.000042876985,0.000036497797,0.000969665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997339,0.0009950605,0.0003433198,0.0005114201,0.00030874347,0.0005024347],"domain_scores_gemma":[0.9971291,0.0022007343,0.000054030465,0.0003103852,0.000022589229,0.00028316755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042564,0.00015215145,0.0003842071,0.00027300842,0.00022641264,0.0000068827403,0.00026202895,0.000009132292,0.0005539359],"category_scores_gemma":[0.004853108,0.00012285386,0.00007169678,0.00036462993,0.00026465417,0.0000311624,0.00024878254,0.00075145875,0.000043343443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001156801,0.0001368902,0.9727218,0.00011106277,0.00007157344,0.014880182,0.0015908119,0.0006666457,0.0004165819,0.00011007214,0.0070953015,0.001042285],"study_design_scores_gemma":[0.0064712022,0.0009721898,0.8045431,0.00006787948,0.00006355546,0.0007628114,0.00021894931,0.001091216,0.000012436344,0.000043333064,0.18550865,0.0002446953],"about_ca_topic_score_codex":0.00010043253,"about_ca_topic_score_gemma":0.000012041644,"teacher_disagreement_score":0.17841336,"about_ca_system_score_codex":0.00053627504,"about_ca_system_score_gemma":0.00026903566,"threshold_uncertainty_score":0.60652095},"labels":[],"label_agreement":null},{"id":"W4297891377","doi":"10.1007/s00330-022-09138-y","title":"The long-term course of subsolid nodules and predictors of interval growth on chest CT: a systematic review and meta-analysis","year":2022,"lang":"en","type":"review","venue":"European Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":22,"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":"Science and Technology Program of Zhejiang Province; National Natural Science Foundation of China","keywords":"Medicine; Incidence (geometry); Confidence interval; Cochrane Library; Meta-analysis; Subgroup analysis; Publication bias; Internal medicine; Nuclear medicine","score_opus":0.06462817534417155,"score_gpt":0.3392547764350213,"score_spread":0.27462660109084974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297891377","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":[0.00022169591,0.9972048,8.18141e-7,0.00020468679,0.000063763604,0.0018136497,0.00017868249,0.000010703692,0.00030124566],"genre_scores_gemma":[0.0039034707,0.9953531,0.0000050363,0.00014261348,0.00003543976,0.00022620783,0.00013240127,0.000043566844,0.00015818633],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99609345,0.002020979,0.0011342057,0.00042308742,0.00016432512,0.00016395509],"domain_scores_gemma":[0.9970781,0.00097143283,0.0010872459,0.0007246356,0.000048469356,0.000090120426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012467009,0.00037698957,0.007161455,0.00014324459,0.000055158525,0.000007735431,0.00022563578,0.000032595504,0.00011819482],"category_scores_gemma":[0.00020987538,0.00017406367,0.0014749892,0.0002608954,0.00026469145,0.000012043701,0.00013474404,0.00023017092,0.0000034654768],"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":[0.00000894816,0.00014841944,0.000925083,0.752759,0.24363823,0.00017641556,0.00006948969,6.424544e-8,1.4967622e-8,0.000079590885,0.0003442606,0.00185053],"study_design_scores_gemma":[0.00022256946,0.0006716809,0.002459464,0.02406552,0.96119165,0.00059735554,0.00001017309,1.8885366e-7,3.061082e-7,7.566135e-7,0.010656554,0.00012378179],"about_ca_topic_score_codex":0.000007119692,"about_ca_topic_score_gemma":0.000008044674,"teacher_disagreement_score":0.7286934,"about_ca_system_score_codex":0.000074269694,"about_ca_system_score_gemma":0.000057490546,"threshold_uncertainty_score":0.709811},"labels":[],"label_agreement":null},{"id":"W4306179836","doi":"10.1007/s00330-022-09147-x","title":"Early detection of myocardial fibrosis in cardiomyopathy in the absence of late enhancement: role of T1 mapping and extracellular volume analysis","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Circle Cardiovascular Imaging","funders":"National Natural Science Foundation of China","keywords":"Medicine; Cardiology; Internal medicine; Ejection fraction; Myocardial fibrosis; Fibrosis; Dilated cardiomyopathy; Magnetic resonance imaging; Cardiomyopathy; Stroke volume; Heart failure; Radiology","score_opus":0.006959014022618409,"score_gpt":0.20714932362855468,"score_spread":0.20019030960593626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306179836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945302,0.0034514375,0.00066611153,0.000034885095,0.00006595311,0.00013232524,0.00001532679,0.000004477396,0.0010992626],"genre_scores_gemma":[0.9997089,0.00010018776,0.00008165654,0.000022330878,0.00003320525,0.000006482579,0.000010215805,0.0000080276495,0.000028976527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985548,0.0006882697,0.00033942965,0.00016340482,0.0001317055,0.00012237785],"domain_scores_gemma":[0.99943686,0.00014982097,0.0001410444,0.00022439707,0.000029208548,0.00001869693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099442,0.00007059793,0.00040861362,0.00033262826,0.000023517845,0.000002122821,0.00007558258,0.00001730808,0.000010712572],"category_scores_gemma":[0.00013015069,0.0000647903,0.00013605134,0.0005974241,0.000105858395,0.000017290167,0.000065859706,0.00016235378,9.23975e-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":[0.00010515798,0.000050324856,0.73438895,0.00003458339,0.00017085427,0.000056919558,0.004537804,0.0022360617,0.25515136,0.000014829499,0.000010727499,0.003242421],"study_design_scores_gemma":[0.00058862043,0.0002790951,0.99349636,0.000018052468,0.0001863259,0.000028866385,0.0008136891,0.00096573256,0.0029727898,0.000013961685,0.000583575,0.000052941723],"about_ca_topic_score_codex":0.0003033346,"about_ca_topic_score_gemma":0.000003911683,"teacher_disagreement_score":0.2591074,"about_ca_system_score_codex":0.000023512795,"about_ca_system_score_gemma":0.000014956894,"threshold_uncertainty_score":0.26420718},"labels":[],"label_agreement":null},{"id":"W4307233259","doi":"10.1007/s00330-022-09165-9","title":"Algorithmic transparency and interpretability measures improve radiologists’ performance in BI-RADS 4 classification","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"AI in cancer detection","field":"Computer 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":"Artificial Intelligence in Medicine (Canada)","funders":"Deutschen Konsortium für Translationale Krebsforschung; Technische Universität München; Deutsche Forschungsgemeinschaft","keywords":"Interpretability; Certainty; Neuroticism; Artificial intelligence; Pearson product-moment correlation coefficient; Medicine; Correlation; Machine learning; Neuroradiology; Personality; Transparency (behavior); Big Five personality traits; Radiology; Computer science; Psychology; Mathematics; Statistics; Social psychology; Neurology; Psychiatry","score_opus":0.024408638103329935,"score_gpt":0.23119211170579437,"score_spread":0.20678347360246443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307233259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7470968,0.0012863702,0.24481106,0.0008291682,0.0017056523,0.00039636865,0.000008158964,0.00025949656,0.0036069779],"genre_scores_gemma":[0.99746984,0.0001786709,0.0019897784,0.00015896997,0.00008453603,0.000065688255,0.0000035274004,0.000013603074,0.00003540155],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971796,0.0013812196,0.00035952174,0.0006626357,0.00013667271,0.00028033915],"domain_scores_gemma":[0.99917597,0.00007520805,0.00012163419,0.00055126357,0.000024047054,0.00005187375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016154592,0.00014605938,0.00020261657,0.00016393539,0.00018547007,0.000026379206,0.00078988704,0.000035417543,0.000014012247],"category_scores_gemma":[0.000050725244,0.00014820368,0.000037703754,0.00032457974,0.0001805189,0.00023018499,0.0002411419,0.00044945488,0.000009566165],"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":[0.00015034521,0.00011692722,0.102615476,0.000057955094,0.000032801418,0.00005549119,0.0060244645,0.0020860888,0.023504853,0.002874461,0.00023889609,0.8622422],"study_design_scores_gemma":[0.0008446583,0.0011404038,0.7989748,0.000009680665,0.000007097634,0.00040723072,0.0001315888,0.18715477,0.00047906573,0.0005814457,0.009907002,0.0003622387],"about_ca_topic_score_codex":0.00001868346,"about_ca_topic_score_gemma":0.000008024335,"teacher_disagreement_score":0.86188,"about_ca_system_score_codex":0.00028107135,"about_ca_system_score_gemma":0.00005187226,"threshold_uncertainty_score":0.60435706},"labels":[],"label_agreement":null},{"id":"W4307582719","doi":"10.1007/s00330-022-09179-3","title":"Fully-automated deep learning-based flow quantification of 2D CINE phase contrast MRI","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","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":"Circle Cardiovascular Imaging","funders":"Northwestern University; Circle Cardiovascular Imaging; Freiwillige Akademische Gesellschaft; Universität Basel; American Heart Association","keywords":"Medicine; Neuroradiology; Nuclear medicine; Phase contrast microscopy; Interventional radiology; Ultrasound; Blood flow; Radiology; Neurology","score_opus":0.01863128225491041,"score_gpt":0.31376574021645726,"score_spread":0.29513445796154686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307582719","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":[0.107775144,0.0004860304,0.883552,0.0019427685,0.00011061382,0.0007604853,0.000059630445,0.0012124273,0.004100861],"genre_scores_gemma":[0.98232234,0.000039455415,0.01607155,0.0003901287,0.00007291999,0.000059863934,0.00068856054,0.000040065373,0.00031513628],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880123,0.00032163944,0.0003373394,0.00026772852,0.00009682526,0.00017525993],"domain_scores_gemma":[0.999226,0.00008123495,0.00020401938,0.00034348664,0.00007696197,0.00006831673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036992275,0.00011034391,0.00026868048,0.00011220054,0.0001537616,0.0000023820232,0.00013155163,0.000025250727,0.00041510572],"category_scores_gemma":[0.000083805,0.0001077941,0.00006808273,0.00023581414,0.00012823517,0.000016290509,0.000041140836,0.0002785838,0.000032132608],"study_design_candidate":"simulation_or_modeling","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":[0.0013894086,0.0018620363,0.001535997,0.00007833139,0.00007700741,0.00023934446,0.00040582244,0.2190433,0.7052414,0.0039259302,0.017643465,0.04855797],"study_design_scores_gemma":[0.0069097877,0.0035612187,0.006171653,0.00002383194,0.00013880461,0.00046803543,0.00022781616,0.67334116,0.016329028,0.00007670551,0.2924662,0.00028575832],"about_ca_topic_score_codex":0.0000030554625,"about_ca_topic_score_gemma":5.712156e-7,"teacher_disagreement_score":0.8745472,"about_ca_system_score_codex":0.000045353994,"about_ca_system_score_gemma":0.00003080383,"threshold_uncertainty_score":0.45451164},"labels":[],"label_agreement":null},{"id":"W4308662651","doi":"10.1007/s00330-022-09229-w","title":"Deep learning–based harmonization of CT reconstruction kernels towards improved clinical task performance","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; China Scholarship Council; Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Medicine; Convolutional neural network; Artificial intelligence; Neuroradiology; Feature (linguistics); Kernel (algebra); Deep learning; Radiology; Pattern recognition (psychology); Nuclear medicine; Computer science; Mathematics","score_opus":0.01696325247613244,"score_gpt":0.286316956899957,"score_spread":0.26935370442382456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308662651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97737163,0.00020534162,0.016011976,0.0008071634,0.0009985458,0.00018790209,0.0000021309265,0.000104559695,0.004310748],"genre_scores_gemma":[0.99495167,0.00012540745,0.0030695267,0.000874309,0.00033365918,0.0000066090684,0.000107495034,0.00004248537,0.0004888329],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975884,0.0011514605,0.0005618414,0.00032347263,0.00015302206,0.00022180499],"domain_scores_gemma":[0.999178,0.00010744799,0.00030801765,0.00022604439,0.000065970205,0.00011450078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018898168,0.00012282874,0.0003668711,0.00013259369,0.00017781288,0.000006231324,0.00015578564,0.000025454512,0.00038879766],"category_scores_gemma":[0.0008276266,0.00011578999,0.00012452937,0.00018866918,0.00024532917,0.000036863257,0.00009113838,0.0010119227,0.000017870761],"study_design_candidate":"simulation_or_modeling","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":[0.00040020695,0.00015751529,0.28877506,0.000082479106,0.00010328839,0.00013655971,0.00020137709,0.013227727,0.007391089,0.000042237745,0.00074532104,0.68873715],"study_design_scores_gemma":[0.0031759387,0.001877933,0.26179788,0.000029642884,0.000099704,0.0017246,0.00009587074,0.6928759,0.0002782666,0.000009613954,0.037860803,0.00017386352],"about_ca_topic_score_codex":0.000010983181,"about_ca_topic_score_gemma":1.2994589e-7,"teacher_disagreement_score":0.6885633,"about_ca_system_score_codex":0.00006293771,"about_ca_system_score_gemma":0.00009847442,"threshold_uncertainty_score":0.47217786},"labels":[],"label_agreement":null},{"id":"W4308678787","doi":"10.1007/s00330-022-09224-1","title":"Hybrid working in radiology: the promise and the perils","year":2022,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Interventional radiology; Medicine; Neuroradiology; Radiology; Medical physics; Ultrasound; Neurology","score_opus":0.017547315928969735,"score_gpt":0.27980658195329716,"score_spread":0.2622592660243274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308678787","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":[0.055797752,0.024843952,0.000007613572,0.01576848,0.8721953,0.001665117,0.000016854001,0.00008612412,0.02961878],"genre_scores_gemma":[0.08486891,0.013035138,0.00007261189,0.0020635647,0.8942756,0.00021946648,0.0005149214,0.0001425893,0.004807213],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99272686,0.005323538,0.00056245807,0.00068593444,0.0002113543,0.0004898232],"domain_scores_gemma":[0.9940716,0.004594171,0.0004459173,0.00075793,0.00004649967,0.000083858184],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005804421,0.0003360152,0.000836257,0.00015978096,0.00038886815,0.000040513412,0.0005440401,0.0002339019,0.0005047067],"category_scores_gemma":[0.00412334,0.00018605498,0.00013627206,0.00013886899,0.001169717,0.000041113737,0.0002657268,0.003227593,0.00006847879],"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":[0.0012084902,0.000037482343,0.0010136102,0.000027795963,0.0001790113,0.00039467143,0.0018787277,0.000009569755,0.000011292797,0.00037901028,0.98937595,0.005484361],"study_design_scores_gemma":[0.0032041275,0.00028134696,0.0055360226,0.00003879081,0.00024546497,0.0022343837,0.0004279567,0.000054838783,3.9652429e-7,0.00012196896,0.98767376,0.00018091718],"about_ca_topic_score_codex":0.000057827103,"about_ca_topic_score_gemma":0.000005744005,"teacher_disagreement_score":0.029071154,"about_ca_system_score_codex":0.00016952613,"about_ca_system_score_gemma":0.00034382008,"threshold_uncertainty_score":0.999072},"labels":[],"label_agreement":null},{"id":"W4310944058","doi":"10.1007/s00330-022-09326-w","title":"The diagnostic and prognostic role of combined [18F]FDG and [68Ga]-DOTA-peptides PET/CT in primary pulmonary carcinoids: a multicentric experience","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Medicine; DOTA; Neuroradiology; Nuclear medicine; PET-CT; Positron emission tomography; Retrospective cohort study; Radiology; Internal medicine; In vivo; Neurology","score_opus":0.009075268896870615,"score_gpt":0.2502344510543761,"score_spread":0.24115918215750548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310944058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857266,0.011219276,4.5091969e-7,0.00048286034,0.00007495359,0.00086469826,0.000010737392,0.000034432996,0.0015859844],"genre_scores_gemma":[0.9978623,0.0014025714,0.000088310655,0.00019185769,0.000032401906,0.00013023196,0.000014780242,0.00003593882,0.00024165762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997375,0.0010973382,0.00037570234,0.00043873856,0.0002417565,0.00047143566],"domain_scores_gemma":[0.99692196,0.0024371129,0.00011370219,0.00034295887,0.000037041802,0.00014719937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041947063,0.00017202464,0.00035684975,0.00017154451,0.00020767645,0.000012956771,0.00024492881,9.663878e-7,0.000022683205],"category_scores_gemma":[0.0024444198,0.00013180995,0.000035234636,0.00028629575,0.00064732047,0.00006498205,0.00057170313,0.0004438567,0.000004590258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063556724,0.00027016146,0.90546995,0.00012620089,0.000023358549,0.07995679,0.00036669325,0.00003413069,0.009105038,0.00012770343,0.00014611341,0.0037382923],"study_design_scores_gemma":[0.0018306196,0.0014937395,0.9315372,0.000039712846,0.000028638711,0.058231216,0.0020096365,0.0005424228,0.00032997382,0.000090189584,0.0037214127,0.00014525368],"about_ca_topic_score_codex":0.00004720561,"about_ca_topic_score_gemma":0.000006431152,"teacher_disagreement_score":0.026067236,"about_ca_system_score_codex":0.000059856833,"about_ca_system_score_gemma":0.0000617911,"threshold_uncertainty_score":0.5375054},"labels":[],"label_agreement":null},{"id":"W4311114808","doi":"10.1007/s00330-022-09273-6","title":"Imaging mismatch between Alberta Stroke Program Early CT Score and perfusion imaging may be a good variable for endovascular treatment","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Neuroradiology; Odds ratio; Confidence interval; Interventional radiology; Perfusion scanning; Stroke (engine); Radiology; Internal medicine; Occlusion; Cardiology; Perfusion; Neurology","score_opus":0.01718379894875984,"score_gpt":0.25458317810508385,"score_spread":0.237399379156324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311114808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9519257,0.0012893362,0.0011647687,0.0034453566,0.00024370474,0.0024312753,0.000089378846,0.00019165449,0.03921883],"genre_scores_gemma":[0.97716004,0.000056364013,0.010457102,0.00079432473,0.00045597722,0.00034839957,0.0004654808,0.00012217116,0.010140155],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978948,0.00031781173,0.0003456562,0.0006882794,0.00018877699,0.00056464685],"domain_scores_gemma":[0.9989745,0.0001892091,0.00012812993,0.00051441207,0.000034118064,0.00015965382],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058390945,0.00029487693,0.0005012146,0.00015786076,0.00030502805,0.000034156943,0.0002033573,0.00001403066,0.00015447383],"category_scores_gemma":[0.0000655194,0.00026607016,0.00016660555,0.00012343188,0.00011220506,0.00005617115,0.0004125077,0.00022644723,0.000011374363],"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":[0.00033981158,0.00047965112,0.746118,0.0001580976,0.0011220241,0.0013564206,0.0018959347,0.000033831344,0.012373295,0.0004120889,0.026013773,0.20969707],"study_design_scores_gemma":[0.0071686963,0.0015819783,0.037407607,0.000035981968,0.000981967,0.0016236296,0.00061172724,0.0012285832,0.00052456005,0.000011538985,0.94848156,0.0003421431],"about_ca_topic_score_codex":0.00032990729,"about_ca_topic_score_gemma":0.0000018254387,"teacher_disagreement_score":0.9224678,"about_ca_system_score_codex":0.00022926237,"about_ca_system_score_gemma":0.000046291356,"threshold_uncertainty_score":0.99997914},"labels":[],"label_agreement":null},{"id":"W4311281764","doi":"10.1007/s00330-022-09323-z","title":"Prediction of incident cardiovascular events using machine learning and CMR radiomics","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","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":"Artificial Intelligence in Medicine (Canada)","funders":"Engineering and Physical Sciences Research Council; Universitat de Barcelona; British Heart Foundation; Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Cardiology; Ventricle; Internal medicine; Atrial fibrillation; Neuroradiology; Magnetic resonance imaging; Heart failure; Myocardial infarction; Stroke (engine); Radiology; Neurology","score_opus":0.019407958486170208,"score_gpt":0.2529520359804782,"score_spread":0.233544077494308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311281764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891392,0.005930561,0.0030136348,0.00017096015,0.00040107875,0.00018704844,0.000012049631,0.000061474624,0.0010840166],"genre_scores_gemma":[0.9966434,0.00048650315,0.002112721,0.00019242869,0.0002325104,0.000003351373,0.00007071585,0.000050396215,0.00020792043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978463,0.0010117627,0.00034857925,0.0003083354,0.0002623479,0.00022264812],"domain_scores_gemma":[0.99942106,0.00006190809,0.00014769589,0.00021702786,0.00003069241,0.00012159107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00172691,0.00013352981,0.00043882584,0.00018491021,0.00022997998,0.0000045297825,0.000104851024,0.000027617527,0.00008382325],"category_scores_gemma":[0.00031165808,0.00013145852,0.00016497466,0.00015210833,0.0001236094,0.000030674517,0.00024580327,0.00073634303,0.0000022659679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029010364,0.00015192229,0.87946856,0.0001686689,0.0011416816,0.000818837,0.0012913833,0.029103262,0.055356547,0.00020221545,0.0003078926,0.031698942],"study_design_scores_gemma":[0.008242642,0.0019029111,0.42164937,0.000110040855,0.0011596567,0.023076791,0.00051346957,0.31507865,0.00023449083,0.000116225,0.22746944,0.00044632034],"about_ca_topic_score_codex":0.000079804246,"about_ca_topic_score_gemma":2.6371387e-7,"teacher_disagreement_score":0.45781916,"about_ca_system_score_codex":0.00010524213,"about_ca_system_score_gemma":0.000039992025,"threshold_uncertainty_score":0.5360723},"labels":[],"label_agreement":null},{"id":"W4312095822","doi":"10.1007/s00330-022-09343-9","title":"Gas exchange and ventilation imaging of healthy and COPD subjects using hyperpolarized xenon-129 MRI and a 3D alveolar gas-exchange model","year":2022,"lang":"en","type":"article","venue":"European Radiology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Council for Research in the Social Sciences, Brock University; National Institute for Health and Care Research; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Cancer Research UK","keywords":"Medicine; Neuroradiology; Xenon; Interventional radiology; COPD; Ventilation (architecture); Radiology; Magnetic resonance imaging; Ultrasound; Hyperpolarization (physics); Nuclear medicine; Nuclear magnetic resonance; Neurology; Internal medicine; Chemistry; Nuclear magnetic resonance spectroscopy","score_opus":0.02645618574336989,"score_gpt":0.2749946916844198,"score_spread":0.24853850594104993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312095822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97536856,0.0022533718,0.020316485,0.00014028326,0.0000591105,0.00024827267,0.00008863852,0.000015359958,0.0015099057],"genre_scores_gemma":[0.9986319,0.00016053118,0.00076219346,0.00013177758,0.00013029244,0.000008292114,0.000048757294,0.000037550304,0.00008872066],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983526,0.0006115647,0.0002220985,0.00034972638,0.00011140605,0.00035263516],"domain_scores_gemma":[0.9994678,0.00008602533,0.00013480251,0.00017260351,0.00003162341,0.00010715852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079808675,0.000151801,0.00030432935,0.000116073395,0.0003148413,0.000021674696,0.0001089725,0.000016935099,0.00005747875],"category_scores_gemma":[0.0000061037563,0.00016311416,0.000038149698,0.00010312737,0.00017890584,0.00011016404,0.00040079796,0.00029940548,0.0000017885108],"study_design_candidate":"simulation_or_modeling","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":[0.0021648526,0.00062762847,0.45911098,0.0007318407,0.0006440692,0.00013344904,0.034825712,0.0020120777,0.13051175,0.022587055,0.003220648,0.34342995],"study_design_scores_gemma":[0.0029304351,0.0001248426,0.0049264245,0.000021383908,0.000060215258,0.00009158336,0.0009889937,0.9848833,0.00018161464,0.003328621,0.002123442,0.00033916306],"about_ca_topic_score_codex":0.00019762706,"about_ca_topic_score_gemma":0.0000016415148,"teacher_disagreement_score":0.9828712,"about_ca_system_score_codex":0.000047511025,"about_ca_system_score_gemma":0.00008967785,"threshold_uncertainty_score":0.66516024},"labels":[],"label_agreement":null},{"id":"W4320709998","doi":"10.1007/s00330-023-09452-z","title":"Assessment of liver fibrosis using a 3-dimensional high-resolution late gadolinium enhancement sequence in children and adolescents with Fontan circulation","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Fontan procedure; Neuroradiology; Tetralogy of Fallot; Internal medicine; Magnetic resonance imaging; Cardiology; Radiology; Ventricle; Heart disease; Neurology","score_opus":0.02480190243970647,"score_gpt":0.2869561048594829,"score_spread":0.26215420241977644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320709998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991508,0.0002027706,0.000117964955,0.000043001717,0.000039780385,0.00033225364,0.000013739641,0.000028014134,0.00007166925],"genre_scores_gemma":[0.9988917,0.0000659707,0.00085104635,0.000058700338,0.00004864293,0.0000033852627,0.000044312426,0.000015747954,0.000020493331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990538,0.00018132065,0.00020726831,0.00024688098,0.00012957465,0.00018115962],"domain_scores_gemma":[0.9996958,0.000018506486,0.00005929282,0.00012243804,0.00004831942,0.00005565067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020331108,0.00010224025,0.00021593034,0.00014078246,0.00004527791,0.0000027046544,0.000027336886,0.000022151471,0.000010344801],"category_scores_gemma":[0.000016217895,0.00008881521,0.000023901235,0.00018005056,0.000120942765,0.000038444752,0.00007561189,0.000089033536,0.000009001072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019187998,0.00007252501,0.9450127,0.00007706251,0.00006854018,0.000112092355,0.00013651112,0.0006320663,0.05263526,0.000020741203,0.000025274447,0.0010153427],"study_design_scores_gemma":[0.0012492982,0.00026668742,0.9861631,0.00031608422,0.00006180866,0.00009555896,0.0000100541165,0.011667428,0.00008250663,0.0000063021726,0.000002446481,0.00007873291],"about_ca_topic_score_codex":0.00010387495,"about_ca_topic_score_gemma":0.00001784577,"teacher_disagreement_score":0.052552752,"about_ca_system_score_codex":0.00008884492,"about_ca_system_score_gemma":0.000049464263,"threshold_uncertainty_score":0.36217794},"labels":[],"label_agreement":null},{"id":"W4322495737","doi":"10.1007/s00330-023-09478-3","title":"DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University College Dublin; National Institute for Health and Care Research; Irish Research eLibrary; Health Research Board; Wellcome Trust; Health Service Executive; Royal College of Surgeons in Ireland; Canadian Institute for Theoretical Astrophysics","keywords":"Medicine; Neuroradiology; Digital subtraction angiography; Occlusion; Interventional radiology; Radiology; Angiography; Stroke (engine); Acute stroke; Artificial intelligence; Surgery; Internal medicine; Neurology; Computer science","score_opus":0.015819210081826147,"score_gpt":0.2520257214403655,"score_spread":0.23620651135853934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322495737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7372949,0.0024440533,0.06715171,0.00045573953,0.00047494707,0.0022202828,0.000017606842,0.00036728426,0.18957348],"genre_scores_gemma":[0.9808814,0.0011893781,0.012252521,0.0003141682,0.0001758378,0.0000617979,0.0002434148,0.0000912196,0.004790248],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855745,0.00014764082,0.00045089866,0.0003307882,0.00018060624,0.00033263367],"domain_scores_gemma":[0.99914783,0.00011504554,0.00020325859,0.00041491535,0.00006158711,0.00005736155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064196717,0.00016553348,0.00046704657,0.00020385327,0.000039678398,0.0000025444122,0.00021714729,0.000036545942,0.00018429109],"category_scores_gemma":[0.000090145586,0.00015201373,0.00022055324,0.00026000084,0.00011885887,0.000022989376,0.00025055106,0.00011768264,0.00008802449],"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":[0.0020223095,0.0012302309,0.06563082,0.015319666,0.02589905,0.004103499,0.009135631,0.024991818,0.20738721,0.03771378,0.18446794,0.42209804],"study_design_scores_gemma":[0.021334117,0.003749137,0.4163584,0.00084034994,0.002931666,0.00014540885,0.008574587,0.031031827,0.03530158,0.00045714263,0.47826716,0.0010085977],"about_ca_topic_score_codex":0.000003770096,"about_ca_topic_score_gemma":4.875681e-7,"teacher_disagreement_score":0.42108944,"about_ca_system_score_codex":0.000034082004,"about_ca_system_score_gemma":0.000006304155,"threshold_uncertainty_score":0.619894},"labels":[],"label_agreement":null},{"id":"W4362507117","doi":"10.1007/s00330-023-09597-x","title":"Pancreatic ductal adenocarcinoma (PDAC) regional nodal disease at standard lymphadenectomy: is MRI accurate for identifying node-positive patients?","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Hamilton General Hospital; Hamilton Health Sciences; Juravinski Hospital","funders":"","keywords":"Medicine; Lymph node; Lymphadenectomy; Radiology; Diffusion MRI; Pancreatic ductal adenocarcinoma; Neuroradiology; Histopathology; Surgical pathology; Pancreatic cancer; Magnetic resonance imaging; Cancer; Pathology; Internal medicine; Neurology","score_opus":0.05638512393259545,"score_gpt":0.34017689806250956,"score_spread":0.28379177412991413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362507117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98859817,0.0010459687,0.0007269315,0.0043516303,0.00036140677,0.0012058992,0.00044089754,0.00018995652,0.0030791196],"genre_scores_gemma":[0.9873362,0.0007508979,0.0009949562,0.0020191018,0.0007752623,0.00012548044,0.0013901063,0.00011877298,0.0064891987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968074,0.0006113051,0.00053755223,0.0007668783,0.00039623005,0.0008806509],"domain_scores_gemma":[0.9977588,0.00071634096,0.00018100637,0.0005037807,0.00030523265,0.00053481065],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007213451,0.0003212145,0.0008010564,0.00029894183,0.0004226441,0.000027513492,0.0002690373,0.00010880222,0.00038837802],"category_scores_gemma":[0.00057274866,0.00027983153,0.0002680379,0.00033461524,0.00044917566,0.00012178832,0.0002661045,0.00022258637,0.0011942154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048697963,0.000112329195,0.9057766,0.00019155795,0.0005183463,0.0016309248,0.001134369,0.000004983996,0.0005812681,0.0003458111,0.084497556,0.00033645736],"study_design_scores_gemma":[0.0066784313,0.0010204924,0.9807876,0.00012578997,0.0005407821,0.00026592062,0.00012606861,0.0011396746,0.00007531265,0.00019005353,0.008770158,0.00027972422],"about_ca_topic_score_codex":0.000017181346,"about_ca_topic_score_gemma":0.0000032841385,"teacher_disagreement_score":0.0757274,"about_ca_system_score_codex":0.00045863568,"about_ca_system_score_gemma":0.00034862067,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W4362601977","doi":"10.1007/s00330-023-09578-0","title":"An evaluation of the contribution of routine ultrasound when performed with multiphase CT in renal donor imaging assessment","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Ultrasound; Neuroradiology; Radiology; Interventional radiology; Computed tomography; Retrospective cohort study; Surgery","score_opus":0.02874585427818947,"score_gpt":0.32113223252396017,"score_spread":0.2923863782457707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362601977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980521,0.000094020696,0.00040395078,0.00022043439,0.000057554946,0.0003852676,0.000006038904,0.000023958406,0.000756679],"genre_scores_gemma":[0.9993375,0.000024983628,0.00040768328,0.000035255893,0.000044102635,0.000008330583,0.000108560074,0.000010216564,0.000023364297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813133,0.001087093,0.00026192816,0.00016470731,0.00020620793,0.00014874201],"domain_scores_gemma":[0.9993062,0.00010000445,0.00013998496,0.00026483877,0.00016194004,0.000027054777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027201436,0.000081165555,0.00022475536,0.00009598166,0.000031277774,0.00000308272,0.000096050666,0.000012800646,0.000023395234],"category_scores_gemma":[0.00044504355,0.000045729354,0.000051997275,0.00016998286,0.00015502758,0.000045067936,0.00002391791,0.00012813199,0.0000035423734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020631692,0.00010283152,0.7911176,0.000017232356,0.00004613734,0.00006180833,0.00047782384,0.0017894773,0.20099519,0.000063971966,0.000067755806,0.00505385],"study_design_scores_gemma":[0.004129084,0.00036829265,0.9776809,0.00007958738,0.00010516159,0.00032532474,0.00025156693,0.008626212,0.008289187,0.000038886912,0.000055268523,0.00005049769],"about_ca_topic_score_codex":0.000033640477,"about_ca_topic_score_gemma":0.000022850465,"teacher_disagreement_score":0.192706,"about_ca_system_score_codex":0.00005643341,"about_ca_system_score_gemma":0.00009100203,"threshold_uncertainty_score":0.1864789},"labels":[],"label_agreement":null},{"id":"W4366351362","doi":"10.1007/s00330-023-09551-x","title":"Predicting the recurrence risk of renal cell carcinoma after nephrectomy: potential role of CT-radiomics for adjuvant treatment decisions","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto; University Health Network","funders":"Royal College of Surgeons in Ireland; Deutsche Forschungsgemeinschaft; Ontario Institute for Cancer Research","keywords":"Medicine; Renal cell carcinoma; Nephrectomy; Hazard ratio; Stage (stratigraphy); Internal medicine; Adjuvant therapy; Proportional hazards model; Kidney cancer; Oncology; Radiomics; Neuroradiology; Radiology; Cancer; Kidney; Confidence interval","score_opus":0.019781995012657594,"score_gpt":0.24452423676842436,"score_spread":0.22474224175576676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366351362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930706,0.0032598977,0.00027653802,0.000092791044,0.0002858907,0.0009090697,0.0002736925,0.000047974576,0.0017835572],"genre_scores_gemma":[0.997115,0.00072384934,0.0012330002,0.000028166018,0.0003000667,0.00007336894,0.000115062096,0.000054538115,0.0003569176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978762,0.00052429264,0.00060954446,0.00041974394,0.00017853366,0.0003916638],"domain_scores_gemma":[0.9980633,0.0006810087,0.0003502082,0.00066146563,0.000112212474,0.0001318005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057501753,0.00024990647,0.00057255855,0.00019030606,0.00010258992,0.0000058584947,0.00021412781,0.00004373487,0.000028007558],"category_scores_gemma":[0.00021442444,0.00015576073,0.00038113605,0.00026559984,0.00021590837,0.00002687371,0.000098816075,0.0001628714,0.00003963839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071431184,0.0009604425,0.7550439,0.00017494058,0.0011707131,0.0021183847,0.006301711,0.0023703768,0.103610404,0.00012886549,0.0036192352,0.11735788],"study_design_scores_gemma":[0.004918775,0.0048564915,0.93971956,0.00008435222,0.0012138756,0.00059227156,0.00051246904,0.0042543947,0.03888161,0.0001777354,0.004591581,0.00019687651],"about_ca_topic_score_codex":0.00007135504,"about_ca_topic_score_gemma":0.000006849584,"teacher_disagreement_score":0.18467563,"about_ca_system_score_codex":0.000113745926,"about_ca_system_score_gemma":0.00012954371,"threshold_uncertainty_score":0.63517386},"labels":[],"label_agreement":null},{"id":"W4366602082","doi":"10.1007/s00330-023-09659-0","title":"MRI vs. CT for pancreatic adenocarcinoma vascular invasion: comparative diagnostic test accuracy systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Juravinski Hospital; University Health Network; University of Toronto; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Medicine; Radiology; Meta-analysis; Neuroradiology; Confidence interval; Pancreatic cancer; Internal medicine; Cancer","score_opus":0.2560004546337371,"score_gpt":0.4292878859632059,"score_spread":0.17328743132946878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366602082","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":[0.0000118245025,0.9855959,0.00017194607,0.0003533916,0.000047629517,0.012814295,0.00025012577,0.00011707423,0.0006378086],"genre_scores_gemma":[0.000052170388,0.99074364,0.0005194826,0.0008762778,0.00016358461,0.003130321,0.00092638173,0.00014731559,0.0034408232],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98993886,0.0053378036,0.0024139518,0.0012332685,0.00035142232,0.00072469155],"domain_scores_gemma":[0.95663214,0.039979547,0.0011536122,0.0016153019,0.0002527101,0.00036666868],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00440714,0.00092663744,0.025474045,0.0006720508,0.00021535748,0.000039614482,0.00060937204,0.00018497347,0.00035854746],"category_scores_gemma":[0.026406256,0.00056283036,0.0038869858,0.0012526364,0.00042438344,0.000053629465,0.00029143068,0.00075006083,0.0011441539],"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":[0.000006704235,0.00007717554,0.0001775794,0.7426457,0.24933837,0.00082690734,0.000076596894,2.2499006e-7,2.2208425e-8,0.000049396145,0.0066119093,0.00018941764],"study_design_scores_gemma":[0.0004818888,0.00067905866,0.00023684895,0.038698155,0.89101154,0.0016139767,0.000033814795,0.000032841384,2.2803713e-8,0.000009230124,0.06679373,0.00040890503],"about_ca_topic_score_codex":0.000016349753,"about_ca_topic_score_gemma":0.000008314128,"teacher_disagreement_score":0.70394754,"about_ca_system_score_codex":0.000161614,"about_ca_system_score_gemma":0.0003534633,"threshold_uncertainty_score":0.9996823},"labels":[],"label_agreement":null},{"id":"W4367048029","doi":"10.1007/s00330-023-09671-4","title":"Does GPT4 dream of counting electric nodules?","year":2023,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Plasma Diagnostics and Applications","field":"Engineering","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Interventional radiology; Dream; Neuroradiology; Radiology; Medical physics; Nuclear medicine; Neurology; Neuroscience; Psychology","score_opus":0.004450434795633254,"score_gpt":0.20108410742820598,"score_spread":0.19663367263257273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367048029","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":[0.009430654,0.00019251477,0.00023245263,0.000031366893,0.9758765,0.00014388774,0.00045832808,0.00057420536,0.013060088],"genre_scores_gemma":[0.024722131,0.0034783855,0.00031664548,0.000010791631,0.9690793,0.00003060022,0.0010885176,0.00032244425,0.00095113966],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879545,0.00007811917,0.00037985292,0.00027207806,0.00014359884,0.000330885],"domain_scores_gemma":[0.9975589,0.0018420873,0.00011792292,0.0003495879,0.00007874859,0.000052785526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032872387,0.00022604415,0.0003907038,0.00016927462,0.000042842938,0.000017424793,0.00042949928,0.00024030256,0.00001126697],"category_scores_gemma":[0.0010581202,0.00017848602,0.0000820053,0.00024786362,0.000045493514,0.000017869224,0.00006272248,0.0005787865,0.0006540925],"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":[0.0000014150615,0.000008359312,0.000010500629,0.000080289814,0.000066763605,0.000026486645,0.000023015658,0.0015684513,0.0012037753,0.00017517213,0.996146,0.0006897314],"study_design_scores_gemma":[0.00013667789,0.000027010423,0.00022752749,0.000043704444,0.000043443688,0.0000020544912,0.0000036547792,0.0013961936,0.0004487266,0.00008944721,0.9973565,0.0002250929],"about_ca_topic_score_codex":0.000007978685,"about_ca_topic_score_gemma":0.000007722022,"teacher_disagreement_score":0.015291477,"about_ca_system_score_codex":0.000044176133,"about_ca_system_score_gemma":0.000034051565,"threshold_uncertainty_score":0.8407254},"labels":[],"label_agreement":null},{"id":"W4367834306","doi":"10.1007/s00330-023-09661-6","title":"Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","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":"Artificial Intelligence in Medicine (Canada)","funders":"Technische Universität München","keywords":"Medicine; Nuclear medicine; Radiology; Lesion; Diffusion MRI; Neuroradiology; Intraductal papillary mucinous neoplasm; Image quality; Effective diffusion coefficient; Voxel; Ultrasound; Magnetic resonance imaging; Pancreas; Pathology; Internal medicine; Neurology","score_opus":0.03000597284487877,"score_gpt":0.30994209143195345,"score_spread":0.2799361185870747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367834306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540114,0.00011950468,0.00048723613,0.0008470577,0.0004548793,0.0004199502,0.0000044801714,0.00009133746,0.002174396],"genre_scores_gemma":[0.99821305,0.000137628,0.00032114625,0.00016120821,0.00029390198,0.000010243863,0.000032341843,0.000025825977,0.0008046246],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99755687,0.0012531443,0.00039190878,0.00027695383,0.00016578974,0.00035531723],"domain_scores_gemma":[0.99908924,0.00027916755,0.00012860357,0.00036860394,0.00006149911,0.000072891606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011380395,0.00012521425,0.00046750254,0.00022756214,0.00009660044,0.0000035924238,0.00018211768,0.00011317546,0.00002533015],"category_scores_gemma":[0.00046054163,0.000086318374,0.000074395895,0.000519072,0.00030091818,0.000025204276,0.00015608977,0.00035160256,0.00016046895],"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":[0.0015520186,0.00033461093,0.19840102,0.00019605563,0.00026005684,0.00042065242,0.0008053445,0.0007333818,0.76055056,0.004308898,0.005082104,0.027355319],"study_design_scores_gemma":[0.0019515757,0.00067733874,0.9803496,0.00007309186,0.000058193466,0.0001310426,0.000051474144,0.0120881,0.0036948381,0.0003028622,0.00054708374,0.000074795804],"about_ca_topic_score_codex":0.00040646808,"about_ca_topic_score_gemma":0.000052625102,"teacher_disagreement_score":0.78194857,"about_ca_system_score_codex":0.000105363164,"about_ca_system_score_gemma":0.000095551375,"threshold_uncertainty_score":0.35199612},"labels":[],"label_agreement":null},{"id":"W4372317432","doi":"10.1007/s00330-023-09689-8","title":"Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Circle Cardiovascular Imaging","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Cardiology; Internal medicine; Fractional flow reserve; Stenosis; Neuroradiology; Perfusion; Radiology; Cardiac magnetic resonance; Receiver operating characteristic; CAD; Angiography; Blood flow; Magnetic resonance imaging; Coronary angiography; Myocardial infarction","score_opus":0.011993756197411559,"score_gpt":0.25374562751444674,"score_spread":0.24175187131703518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372317432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894509,0.0006726893,0.0021343483,0.0015449153,0.0006527794,0.0008513762,0.00019057393,0.0018779614,0.0026244936],"genre_scores_gemma":[0.9941326,0.000096841155,0.0025979113,0.0018623356,0.000342033,0.00004247211,0.0005721024,0.00014426424,0.00020945304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99694127,0.0007636253,0.0004183326,0.00081639545,0.00033753525,0.0007228617],"domain_scores_gemma":[0.9976924,0.00061722455,0.00009962655,0.0006651092,0.00017487162,0.00075078267],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005285155,0.000414324,0.0006516845,0.0006038192,0.00017887613,0.000032845313,0.00020510219,0.0000723937,0.000037852253],"category_scores_gemma":[0.00052350736,0.00034685727,0.00046108718,0.0009039734,0.00038330356,0.00006856498,0.00017679206,0.0003344116,0.0011460192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020382348,0.0006668458,0.64162666,0.00026148735,0.0020684176,0.08633814,0.002366598,0.007889134,0.08158411,0.0003831307,0.12609777,0.030335344],"study_design_scores_gemma":[0.0022014761,0.002358984,0.9867415,0.00015132962,0.0004737099,0.0010190292,0.00019407315,0.003603525,0.000026136528,0.000038749422,0.0027347065,0.00045681934],"about_ca_topic_score_codex":0.000010998616,"about_ca_topic_score_gemma":0.0000025750314,"teacher_disagreement_score":0.3451148,"about_ca_system_score_codex":0.00008061165,"about_ca_system_score_gemma":0.00017931234,"threshold_uncertainty_score":0.9998983},"labels":[],"label_agreement":null},{"id":"W4372330576","doi":"10.1007/s00330-023-09663-4","title":"Analysis of bi-atrial function using CMR feature tracking and long-axis shortening approaches in patients with diastolic dysfunction and atrial fibrillation","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Function and Risk Factors","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":"McGill University","funders":"University of Bern","keywords":"Medicine; Atrial fibrillation; Cardiology; Internal medicine; Diastole; Coronary artery disease; Diastolic function; Blood pressure","score_opus":0.03351087902375171,"score_gpt":0.2381804223999544,"score_spread":0.2046695433762027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372330576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966929,0.0004243189,0.002171212,0.000022082735,0.00032981005,0.00025933047,0.000006259465,0.00005056672,0.000043518143],"genre_scores_gemma":[0.99888104,0.00010236878,0.00007923104,0.000008273388,0.0006128809,3.391177e-7,0.0002665957,0.000024384119,0.000024862502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875724,0.0003418884,0.0002448218,0.0003368996,0.00015849709,0.00016064984],"domain_scores_gemma":[0.99953794,0.000073050585,0.0001225363,0.00015490617,0.000049805396,0.000061732826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050448533,0.00013909492,0.00047935767,0.0008010992,0.00007010432,0.0000135136725,0.000018696777,0.000093503215,0.000008112191],"category_scores_gemma":[0.000094416035,0.00010886607,0.00022774251,0.0010188534,0.000082397266,0.00008565176,0.000026510887,0.00015886505,0.0000013950573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014271042,0.000004483811,0.9331154,0.000022020751,0.0013742246,0.000011381959,0.00029925504,0.016742164,0.00008315749,0.000003745182,0.000009580426,0.046907455],"study_design_scores_gemma":[0.003141003,0.00036943902,0.9843337,0.000023975032,0.0025797882,0.000032149546,0.00013778538,0.009090588,0.000003812868,8.8978726e-7,0.00018410076,0.000102750295],"about_ca_topic_score_codex":0.00002747187,"about_ca_topic_score_gemma":0.000024542736,"teacher_disagreement_score":0.05121829,"about_ca_system_score_codex":0.000037772283,"about_ca_system_score_gemma":0.000016510896,"threshold_uncertainty_score":0.44394296},"labels":[],"label_agreement":null},{"id":"W4377564311","doi":"10.1007/s00330-023-09704-y","title":"Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracy","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Koning Boudewijnstichting; Fonds Wetenschappelijk Onderzoek; European Society of Musculoskeletal Radiology","keywords":"Medicine; Sacroiliitis; Sørensen–Dice coefficient; Receiver operating characteristic; Radiology; Sacroiliac joint; Artificial intelligence; Segmentation; Convolutional neural network; Ankylosis; Computer science; Image segmentation; Surgery; Magnetic resonance imaging; Internal medicine","score_opus":0.022742777133107277,"score_gpt":0.2614168901261533,"score_spread":0.23867411299304606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377564311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998564,0.00058272254,0.000075318945,0.00010116583,0.00018702168,0.00041008924,0.000031269752,0.000010947837,0.000037453625],"genre_scores_gemma":[0.9986,0.0005565759,0.0006903716,0.00003259657,0.000044986944,0.000012476302,0.000023043332,0.000011048229,0.000028881968],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99934524,0.00011583952,0.00023274157,0.00013412989,0.000054427994,0.00011759717],"domain_scores_gemma":[0.99889874,0.00078875374,0.00013329521,0.000106562584,0.000045806915,0.000026813994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015546549,0.00007659612,0.00021055002,0.00003759025,0.00008533782,0.0000014241205,0.000027358932,0.000014241322,0.0000025328668],"category_scores_gemma":[0.0006306954,0.00005262411,0.000037607,0.00011014409,0.000092287366,0.000013934813,0.000054287724,0.000041276537,0.0000012614445],"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":[0.00037108612,0.0002315337,0.18462127,0.00020182593,0.00040177148,0.000035232722,0.0019351237,0.00020575958,0.015902093,0.00004092403,0.0005417197,0.79551166],"study_design_scores_gemma":[0.0023899465,0.00070407544,0.9752814,0.0001720623,0.00011613933,0.000039394803,0.0002029584,0.00053199724,0.019845998,0.00001425821,0.00065170176,0.000050043203],"about_ca_topic_score_codex":0.000008714873,"about_ca_topic_score_gemma":0.000006033769,"teacher_disagreement_score":0.7954616,"about_ca_system_score_codex":0.00001211233,"about_ca_system_score_gemma":0.0000081398985,"threshold_uncertainty_score":0.21459489},"labels":[],"label_agreement":null},{"id":"W4378188583","doi":"10.1007/s00330-023-09748-0","title":"MRI texture analysis of acetabular cancellous bone can discriminate between normal, cam positive, and cam-FAI hips","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Asymptomatic; Mann–Whitney U test; Neuroradiology; Texture (cosmology); Radiology; Orthodontics; Nuclear medicine; Artificial intelligence; Surgery; Internal medicine; Image (mathematics); Computer science","score_opus":0.015871089605957716,"score_gpt":0.2565911957388789,"score_spread":0.2407201061329212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378188583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914803,0.0020440002,0.000064812964,0.0019467194,0.00007247877,0.0001797103,0.0003790662,0.000088649664,0.0037442837],"genre_scores_gemma":[0.9960545,0.0007722756,0.00007078032,0.0004946935,0.00019997028,0.0000034344425,0.0007236494,0.000038342037,0.0016423755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841636,0.00035573618,0.00035724754,0.00037699498,0.00013014144,0.00036352515],"domain_scores_gemma":[0.9990929,0.000110509194,0.00013493169,0.00035708302,0.000066398636,0.000238194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030628685,0.00019577378,0.0008072096,0.0004482561,0.00008208137,0.000007931816,0.000091894784,0.000067355046,0.00008772231],"category_scores_gemma":[0.000075648124,0.00016373368,0.00018066961,0.0006857467,0.00027312542,0.000033684857,0.00010539301,0.00021471981,0.000036465328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036417245,0.00013401388,0.9207904,0.00026678797,0.004859462,0.0027866703,0.0039458894,0.00018034168,0.016919244,0.00016319242,0.029746154,0.019843692],"study_design_scores_gemma":[0.000829084,0.00032056184,0.9883106,0.0000426021,0.0038469497,0.000094998526,0.00036477525,0.00014482679,0.0004375768,0.0000129955115,0.00541411,0.00018094719],"about_ca_topic_score_codex":0.00051428354,"about_ca_topic_score_gemma":0.0001881743,"teacher_disagreement_score":0.067520194,"about_ca_system_score_codex":0.00002943325,"about_ca_system_score_gemma":0.00005128066,"threshold_uncertainty_score":0.6676866},"labels":[],"label_agreement":null},{"id":"W4379094869","doi":"10.1007/s00330-023-09758-y","title":"Can we rely on contrast-enhanced CT to identify pancreatic ductal adenocarcinoma? A population-based study in sensitivity and factors associated with false negatives","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Adenocarcinoma; Pancreatic ductal adenocarcinoma; Population; Internal medicine; Confidence interval; Pancreatic cancer; Radiology; Pancreas; Logistic regression; Gastroenterology; Cancer","score_opus":0.05542177457348597,"score_gpt":0.3431578436119106,"score_spread":0.28773606903842464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379094869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971403,0.000047114256,0.000022142644,0.0010011069,0.00005566369,0.0012789711,0.00002779147,0.00011610393,0.0003108357],"genre_scores_gemma":[0.99920326,0.000012353976,0.00002669072,0.00021511574,0.000050381444,0.000031317384,0.000106543725,0.00004271446,0.00031163037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961821,0.0022854642,0.00033271854,0.0005107051,0.00022659666,0.00046241717],"domain_scores_gemma":[0.9976644,0.0016843244,0.000102879305,0.0002603719,0.00006821542,0.00021982577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118813,0.00022917474,0.00079608674,0.0004195193,0.0001179693,0.000015548108,0.000069231835,0.00004673381,0.000020688136],"category_scores_gemma":[0.0019580456,0.00017479058,0.000038066097,0.00055812235,0.00012782741,0.000031262887,0.000045144807,0.00034881916,0.000037909456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054525805,0.00023602002,0.99065554,0.000017573755,0.0001999006,0.00267134,0.0024452123,0.000072983355,0.002906512,0.000015941141,0.00006237238,0.00017132027],"study_design_scores_gemma":[0.003957904,0.002852635,0.9901281,0.00016966267,0.00013228541,0.00003264772,0.0019518229,0.00050026516,0.0000906622,0.000019861156,0.0000020988202,0.00016205553],"about_ca_topic_score_codex":0.0004961326,"about_ca_topic_score_gemma":0.0022433926,"teacher_disagreement_score":0.003412646,"about_ca_system_score_codex":0.00019448847,"about_ca_system_score_gemma":0.00012159219,"threshold_uncertainty_score":0.7127753},"labels":[],"label_agreement":null},{"id":"W4379600289","doi":"10.1007/s00330-023-09769-9","title":"Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Colorectal Cancer Screening and Detection","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":"University College Dublin; Science Foundation Ireland; Irish Research eLibrary; Health Research Board; Wellcome Trust; Health Service Executive; Royal College of Surgeons in Ireland; Canadian Institute for Theoretical Astrophysics","keywords":"Feature (linguistics); Artificial intelligence; Pattern recognition (psychology); Series (stratigraphy); Medicine; Computer science","score_opus":0.041541799122752264,"score_gpt":0.2952760853834233,"score_spread":0.25373428626067107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379600289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951998,0.0007924686,0.0012955669,0.0006157129,0.00015448134,0.0005591297,0.000036993875,0.0001643153,0.0011815184],"genre_scores_gemma":[0.9976781,0.000050154875,0.0012570722,0.000111291774,0.00014382447,0.000013415601,0.0002260145,0.000030485158,0.00048964046],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998138,0.00071955833,0.00031555304,0.00043417633,0.000101213845,0.00029146706],"domain_scores_gemma":[0.9993949,0.00011281366,0.00008104738,0.00029875757,0.00004303157,0.00006943938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067363447,0.00014434032,0.00041989022,0.00034265374,0.00005440469,0.000007750642,0.00018730055,0.000081955746,0.00006958951],"category_scores_gemma":[0.0005125428,0.00013708841,0.000047365033,0.0007241285,0.00018683185,0.00007262322,0.00010035311,0.00038168783,0.000019396219],"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":[0.03852868,0.0004201703,0.04157714,0.00048741393,0.00046752632,0.004419435,0.04031617,0.15504557,0.6683237,0.00005256721,0.007133088,0.04322857],"study_design_scores_gemma":[0.0056270133,0.009220651,0.91705334,0.00033426052,0.00011885569,0.001911384,0.0023320876,0.053720035,0.005743263,0.000025223218,0.0034742763,0.00043962567],"about_ca_topic_score_codex":0.00007386189,"about_ca_topic_score_gemma":0.00016603044,"teacher_disagreement_score":0.8754762,"about_ca_system_score_codex":0.00009663583,"about_ca_system_score_gemma":0.00006640149,"threshold_uncertainty_score":0.5590303},"labels":[],"label_agreement":null},{"id":"W4382010981","doi":"10.1007/s00330-023-09820-9","title":"Publisher Correction: Assessment of liver fibrosis using a 3-dimensional high-resolution late gadolinium enhancement sequence in children and adolescents with Fontan circulation","year":2023,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Gadolinium; Ultrasound; Sequence (biology); Internal medicine; Cardiology; Neurology","score_opus":0.023383422837215357,"score_gpt":0.2786032052525164,"score_spread":0.2552197824153011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382010981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874084,0.001456636,0.00015431404,0.00009306323,0.008266812,0.0010293687,0.000042175547,0.000078397534,0.0014708624],"genre_scores_gemma":[0.9924062,0.0003143479,0.00044744715,0.00009392111,0.00058209355,0.00001238143,0.00058481196,0.00007463962,0.00548418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793816,0.00039369846,0.00045879523,0.00058966246,0.00030947963,0.00031017954],"domain_scores_gemma":[0.99918705,0.000030446645,0.00023042507,0.0002699241,0.00017767212,0.000104489496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031763816,0.00029119744,0.0005992701,0.00034094523,0.00008354293,0.000015374628,0.000069587884,0.00014249557,0.000027822858],"category_scores_gemma":[0.000055442277,0.00026337284,0.000069036745,0.00028891177,0.00022706365,0.0000968586,0.00016237146,0.00054757175,0.000010028746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010809865,0.0004734587,0.7743664,0.0009783469,0.0009080553,0.0006592711,0.0003825821,0.000788481,0.002009176,0.0000114508575,0.21449427,0.0038475476],"study_design_scores_gemma":[0.0012958988,0.00044871116,0.9894011,0.0018786339,0.00026634158,0.0002808924,0.000012301575,0.0059719393,0.0000020349999,0.000005018095,0.00021841303,0.00021871294],"about_ca_topic_score_codex":0.00043737952,"about_ca_topic_score_gemma":0.00014383145,"teacher_disagreement_score":0.21503472,"about_ca_system_score_codex":0.00036054032,"about_ca_system_score_gemma":0.00027841146,"threshold_uncertainty_score":0.9999818},"labels":[],"label_agreement":null},{"id":"W4382011697","doi":"10.1007/s00330-023-09768-w","title":"Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology","year":2023,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Radiomics; Interventional radiology; Medicine; Editorial board; Neuroradiology; Medical physics; Radiology; Library science; Computer science; Neurology","score_opus":0.04102919910272119,"score_gpt":0.3912275068145799,"score_spread":0.3501983077118587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382011697","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":[0.001807388,0.005038378,0.0013756839,0.0022784108,0.984481,0.0014348519,0.00066550646,0.00010803844,0.0028107797],"genre_scores_gemma":[0.0006904065,0.005937254,0.0076588043,0.00012873973,0.9797035,0.00003395935,0.0028674095,0.0003429182,0.0026370403],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9866073,0.00734145,0.001982919,0.0015806011,0.0014614676,0.0010262273],"domain_scores_gemma":[0.9822852,0.0133546395,0.0010731652,0.0016671881,0.0012328789,0.00038689666],"candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.028556818,0.0005438754,0.0020571938,0.0005351524,0.0004414923,0.00009922792,0.0013804454,0.00062300486,0.000025534247],"category_scores_gemma":[0.04209692,0.0004071398,0.00045287213,0.0005831799,0.0039664316,0.00005641208,0.0006814389,0.0040084403,0.000018415125],"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":[0.00028053406,0.00006318732,0.0005580892,0.00055359927,0.0005263383,0.00011759881,0.0006467765,0.00001713289,0.0020993333,0.0002755732,0.9908817,0.0039801816],"study_design_scores_gemma":[0.0030966871,0.0009776145,0.0029319648,0.0009710108,0.0005500121,0.00004087534,0.0001901648,0.0004613543,0.000009580585,0.00014953437,0.99031603,0.00030518926],"about_ca_topic_score_codex":0.0003825842,"about_ca_topic_score_gemma":0.000012387509,"teacher_disagreement_score":0.013540104,"about_ca_system_score_codex":0.00022043198,"about_ca_system_score_gemma":0.0012315525,"threshold_uncertainty_score":0.99983805},"labels":[],"label_agreement":null},{"id":"W4383480960","doi":"10.1007/s00330-023-09860-1","title":"Cybersecurity considerations for radiology departments involved with artificial intelligence","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation Ireland; Irish Research eLibrary; University College Dublin; Fulbright Association; Health Research Board; Royal College of Surgeons in Ireland; Health Service Executive; Wellcome Trust; Canadian Institute for Theoretical Astrophysics","keywords":"Relevance (law); Health care; Context (archaeology); Computer science; Computer security; Applications of artificial intelligence; Medicine; Artificial intelligence","score_opus":0.4918789642505957,"score_gpt":0.47973070302817933,"score_spread":0.012148261222416357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383480960","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":[0.0003379116,0.98613644,0.0036881317,0.0008309891,0.0024157483,0.0045566843,0.00014661437,0.00036892487,0.0015185417],"genre_scores_gemma":[0.0008585449,0.9918005,0.0024524245,0.00056351384,0.0022434485,0.00045204838,0.0011169739,0.00017313365,0.00033944636],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99616045,0.00094694336,0.0013515888,0.00080465473,0.00012066845,0.00061571226],"domain_scores_gemma":[0.9962086,0.0022286447,0.0004590566,0.00059636927,0.00024991468,0.0002573913],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010184143,0.00045175944,0.0016770369,0.00035997172,0.00029885184,0.000031024607,0.0001865358,0.00034200223,0.00013729553],"category_scores_gemma":[0.001600763,0.00035086373,0.0003347432,0.00034951928,0.0004040825,0.00004658584,0.000051672563,0.0006155612,0.0014500961],"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":[0.00016624643,0.00021715638,0.000056279874,0.008386718,0.000612837,0.00045037342,0.0010329977,0.0000125631705,0.0000017522337,0.015321617,0.01951797,0.9542235],"study_design_scores_gemma":[0.00006534943,0.0019252398,0.00002023546,0.00290316,0.0017554668,0.002236478,0.00065198925,0.000061393745,0.000018488643,0.011488404,0.9782072,0.00066663086],"about_ca_topic_score_codex":0.000043612767,"about_ca_topic_score_gemma":0.00019593904,"teacher_disagreement_score":0.9586892,"about_ca_system_score_codex":0.00022162823,"about_ca_system_score_gemma":0.0009889442,"threshold_uncertainty_score":0.9998943},"labels":[],"label_agreement":null},{"id":"W4384120639","doi":"10.1007/s00330-023-09916-2","title":"Diagnostic accuracy of CT and MR features for detecting atypical lipomatous tumors and malignant liposarcomas: a systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Meta-analysis; Radiology; Neuroradiology; Cochrane Library; Magnetic resonance imaging; Diagnostic accuracy; Nuclear medicine; Pathology; Neurology","score_opus":0.0964374682343366,"score_gpt":0.35773920377931734,"score_spread":0.2613017355449807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384120639","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":[0.0003820187,0.994264,0.0000078647745,0.00018748458,0.000028187804,0.0049091736,0.0001464298,0.00005356655,0.00002127514],"genre_scores_gemma":[0.0019996883,0.99632514,0.00026689703,0.00024146428,0.000053757256,0.00080372905,0.00009993849,0.00010387913,0.00010548897],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9956965,0.0015980263,0.0014430006,0.000789193,0.00013566022,0.00033763578],"domain_scores_gemma":[0.98746634,0.01065834,0.0009818701,0.00062428677,0.00006667874,0.0002024746],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013066359,0.0006021605,0.010419176,0.0003889693,0.00009490579,0.00002895446,0.0001518311,0.000077186094,0.000013975499],"category_scores_gemma":[0.0064873793,0.00034588357,0.0014895428,0.0004128381,0.00016315935,0.00002502603,0.00019156947,0.00025039792,0.000010232287],"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":[0.000008320036,0.000074710566,0.00013019763,0.86834675,0.11884717,0.0016461133,0.000048330327,1.0008975e-7,1.7366301e-7,0.00008079334,0.00026230124,0.010555059],"study_design_scores_gemma":[0.00041268423,0.00035469423,0.00072289916,0.059819724,0.9239972,0.010036292,0.000022249269,0.0000028363602,6.300344e-7,0.000010839687,0.004325423,0.0002945352],"about_ca_topic_score_codex":0.00001424088,"about_ca_topic_score_gemma":0.000009533603,"teacher_disagreement_score":0.808527,"about_ca_system_score_codex":0.00003214031,"about_ca_system_score_gemma":0.000047158646,"threshold_uncertainty_score":0.9998993},"labels":[],"label_agreement":null},{"id":"W4385295802","doi":"10.1007/s00330-023-09976-4","title":"The heart and the COVID-19: what are the lessons learnt?","year":2023,"lang":"en","type":"editorial","venue":"European Radiology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Interventional radiology; Neuroradiology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Coronavirus Infections; Cardiac imaging; Betacoronavirus; Radiology; Medical physics; Virology; Internal medicine; Neurology; Outbreak","score_opus":0.08066800410298244,"score_gpt":0.4411355908854544,"score_spread":0.3604675867824719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385295802","genre_codex":"commentary","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":[0.000058779635,0.009611794,0.000018899922,0.5183659,0.4701759,0.0008762008,0.000055854496,0.00015696364,0.0006797022],"genre_scores_gemma":[0.0017748479,0.16253726,0.000005966375,0.020988721,0.7898405,0.00013130848,0.00008531641,0.00017692827,0.024459114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99040043,0.006452221,0.00063554564,0.00084012165,0.0008448215,0.00082687987],"domain_scores_gemma":[0.7658613,0.2315365,0.00032422558,0.0015926362,0.00026568057,0.0004197033],"candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.012892138,0.0003999541,0.0010237745,0.00008143484,0.0015744586,0.00025617768,0.0010516604,0.00031014235,0.000032262233],"category_scores_gemma":[0.44957393,0.00015829309,0.0003631286,0.00028399567,0.005696701,0.000044088727,0.00153343,0.0036724769,0.0006486367],"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":[0.00081205677,0.00001499238,0.00009526394,0.00015937907,0.0003905353,0.00025789108,0.000488966,0.000013686125,0.0000028499867,0.00035782097,0.99552804,0.0018785207],"study_design_scores_gemma":[0.002495023,0.00029092364,0.0016497328,0.00012669023,0.00020076375,0.00001967372,0.0008805306,0.00002665555,1.5862412e-7,0.0004106814,0.99374205,0.00015713186],"about_ca_topic_score_codex":0.00012885375,"about_ca_topic_score_gemma":0.00012877666,"teacher_disagreement_score":0.4973772,"about_ca_system_score_codex":0.00018006256,"about_ca_system_score_gemma":0.00090724,"threshold_uncertainty_score":0.99972534},"labels":[],"label_agreement":null},{"id":"W4385406328","doi":"10.1007/s00330-023-09887-4","title":"Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancer","year":2023,"lang":"en","type":"retraction","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":true,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Neuroradiology; Prostate cancer; Interventional radiology; Radiology; Ultrasound; Prostate; Cancer; Internal medicine; Neurology","score_opus":0.03715616725145055,"score_gpt":0.3095867693382692,"score_spread":0.27243060208681863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385406328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7702863,0.029368902,0.006891837,0.015924806,0.10053156,0.0062301955,0.0035048677,0.003465053,0.06379647],"genre_scores_gemma":[0.8285271,0.088064946,0.0015249895,0.0014442634,0.017602433,0.00009899929,0.0049208445,0.0007438035,0.05707265],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99607825,0.0010075864,0.0009931369,0.00075591233,0.0006240453,0.0005410527],"domain_scores_gemma":[0.9976129,0.0004270076,0.00096494466,0.00044093147,0.00028189248,0.00027230152],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002038439,0.00043928102,0.0013055227,0.0008391364,0.000115099036,0.000020513202,0.00025949904,0.0007214039,0.00021433315],"category_scores_gemma":[0.0031812438,0.0003667848,0.00029056187,0.0006047993,0.00045382086,0.000038314123,0.00008654155,0.0038985948,0.00009452764],"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":[0.001081902,0.0003880722,0.07618296,0.0020785264,0.0005691913,0.0051661623,0.00068861403,0.00020290483,0.011207537,0.000027523927,0.33935007,0.5630565],"study_design_scores_gemma":[0.001304343,0.001249106,0.39346793,0.00095650234,0.0008776132,0.0014922564,0.000020221876,0.0020151993,0.00007275161,0.000013000826,0.59803504,0.0004960623],"about_ca_topic_score_codex":0.00018547139,"about_ca_topic_score_gemma":0.0000049107457,"teacher_disagreement_score":0.5625605,"about_ca_system_score_codex":0.00047833653,"about_ca_system_score_gemma":0.00041696616,"threshold_uncertainty_score":0.9998784},"labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":["research_integrity","metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4385514006","doi":"10.1007/s00330-023-10009-3","title":"Diagnostic performance of whole-body [18F]FDG PET/MR in cancer M staging: A systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Toronto General Hospital; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Meta-analysis; Confidence interval; Histopathology; Neuroradiology; Nuclear medicine; Lung cancer; Radiology; Subgroup analysis; Pooled analysis; Internal medicine; Pathology; Neurology","score_opus":0.1425510255956327,"score_gpt":0.4130538571817596,"score_spread":0.27050283158612687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385514006","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":[0.0000351435,0.9957444,0.000042194686,0.0010041415,0.00001911567,0.002729616,0.00010156701,0.00009243269,0.0002313527],"genre_scores_gemma":[0.00018284039,0.9960563,0.00031319063,0.0005367214,0.0000412443,0.001130088,0.00018228407,0.000062102845,0.0014952128],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99636596,0.0010710786,0.001572988,0.0005366314,0.0001777302,0.00027563312],"domain_scores_gemma":[0.9971972,0.00092967506,0.0007560106,0.00090122345,0.00007089035,0.00014499777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776224,0.00037389708,0.007968854,0.00046261583,0.000029783452,0.0000074603395,0.0003395352,0.000052083346,0.00016168831],"category_scores_gemma":[0.001060981,0.00023543308,0.0009316779,0.0011856849,0.00018998774,0.000021585885,0.00015034238,0.0005321648,0.00008233158],"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":[7.6795936e-7,0.000040803643,0.00002670531,0.97159165,0.024306692,0.00021605426,0.00001722539,7.037487e-7,4.3056139e-7,0.00006892233,0.002826474,0.00090357417],"study_design_scores_gemma":[0.00010291745,0.00007802767,0.0000350926,0.097854316,0.79375225,0.00036513168,0.0000037517345,0.000084863015,1.5359942e-7,0.0000025104184,0.10749313,0.00022786928],"about_ca_topic_score_codex":0.00003872478,"about_ca_topic_score_gemma":0.000002799497,"teacher_disagreement_score":0.87373734,"about_ca_system_score_codex":0.00006094565,"about_ca_system_score_gemma":0.00010284574,"threshold_uncertainty_score":0.9600682},"labels":[],"label_agreement":null},{"id":"W4385607099","doi":"10.1007/s00330-023-09994-2","title":"Normal pediatric values of carotid artery intima-media thickness measured by B-mode ultrasound and radiofrequency echo tracking respecting the consensus: a systematic review","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université de Montréal; Université Laval; Centre Hospitalier Universitaire Sainte-Justine; McMaster Children's Hospital; École de Technologie Supérieure","funders":"","keywords":"Medicine; Intima-media thickness; Confidence interval; Neuroradiology; Ultrasound; Radiology; Common carotid artery; Interventional radiology; Meta-analysis; Internal medicine; Cardiology; Carotid arteries; Neurology","score_opus":0.04918117269958596,"score_gpt":0.3292411436383664,"score_spread":0.28005997093878043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385607099","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":[0.00039349252,0.99425894,0.00005758927,0.000042624382,0.00051267765,0.0040735696,0.00012342511,0.000135084,0.0004025692],"genre_scores_gemma":[0.0008031148,0.9975206,0.000061979175,0.00017328496,0.0008262663,0.00012576171,0.0002867394,0.0001386091,0.00006364528],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9884498,0.0077937907,0.0021213577,0.0006682085,0.0004659729,0.00050086156],"domain_scores_gemma":[0.99448955,0.0027307007,0.0012485078,0.0010432571,0.00020765813,0.00028032032],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0071145236,0.00053307274,0.004364891,0.0002969631,0.00017307792,0.000027332444,0.00031443435,0.00020768055,0.000011445171],"category_scores_gemma":[0.009402654,0.0003538223,0.0012681314,0.0006192942,0.00023623217,0.000041376803,0.000079867204,0.0008889118,0.000067398774],"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":[0.000019306253,0.000031169486,0.00007345142,0.98878795,0.0009508779,0.0002182102,0.00032049417,4.333925e-7,0.0000071040463,0.000009739209,0.0020818075,0.0074994345],"study_design_scores_gemma":[0.002053067,0.00019705256,0.00084300875,0.88053304,0.06876278,0.035060856,0.00032584596,0.0000066608413,0.0000011215018,0.0000649318,0.011111497,0.0010401525],"about_ca_topic_score_codex":0.0000161659,"about_ca_topic_score_gemma":0.0000024196843,"teacher_disagreement_score":0.10825495,"about_ca_system_score_codex":0.00013300253,"about_ca_system_score_gemma":0.00050968013,"threshold_uncertainty_score":0.9998914},"labels":[],"label_agreement":null},{"id":"W438579571","doi":"10.1007/s00330-015-3849-2","title":"Conclusions for mammography screening after 25-year follow-up of the Canadian National Breast Cancer Screening Study (CNBSS)","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":15,"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; Blinding; Quality assurance; Breast cancer; Medical physics; Family medicine; Palpation; Randomized controlled trial; Gynecology; Cancer; Surgery; Pathology; Internal medicine","score_opus":0.08921411735485456,"score_gpt":0.33278359482764813,"score_spread":0.24356947747279356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W438579571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766025,0.00071601884,0.000900042,0.0037638324,0.00086210156,0.0012584345,0.00050663087,0.000051899668,0.015338526],"genre_scores_gemma":[0.9951711,0.0000048991833,0.0014457605,0.002242896,0.00055728573,0.000049714978,0.000025397158,0.000037679478,0.00046525864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981763,0.0003070035,0.00034998308,0.00033386284,0.00041260105,0.00042027098],"domain_scores_gemma":[0.99850905,0.00007152229,0.00014034145,0.0002963168,0.00061350595,0.00036928034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011080289,0.00017824153,0.00033680242,0.00020380387,0.00026209015,0.000018187413,0.00030655946,0.00006492632,0.000106937296],"category_scores_gemma":[0.00025792574,0.0001330497,0.00019859023,0.0003643277,0.00020506843,0.00007703782,0.00013392458,0.0002487256,0.000009537668],"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":[0.000892189,0.000035341185,0.9743717,0.000010525882,0.0002532265,0.00006381939,0.0012208793,0.00021712469,0.00008428231,0.00035676875,0.020186804,0.0023073729],"study_design_scores_gemma":[0.004629203,0.00045807357,0.9705469,0.00013495372,0.00017612852,0.0002490349,0.0016690642,0.0001830835,0.000011828118,0.000047967063,0.02171604,0.00017772013],"about_ca_topic_score_codex":0.025203634,"about_ca_topic_score_gemma":0.0785731,"teacher_disagreement_score":0.05336947,"about_ca_system_score_codex":0.00016371126,"about_ca_system_score_gemma":0.00060339144,"threshold_uncertainty_score":0.9812876},"labels":[],"label_agreement":null},{"id":"W4385968718","doi":"10.1007/s00330-023-10127-y","title":"Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking—a cardiovascular MR study in health and disease","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiovascular Function and Risk 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":"Circle Cardiovascular Imaging","funders":"HORIZON EUROPE Framework Programme; Charité – Universitätsmedizin Berlin; European Commission","keywords":"Feature tracking; Medicine; Feature (linguistics); Strain (injury); Disease; Interventional radiology; Neuroradiology; Artificial intelligence; Tracking (education); Radiology; Cardiology; Internal medicine; Pattern recognition (psychology); Neurology; Computer science; Psychology","score_opus":0.05855426244952138,"score_gpt":0.3381255068851695,"score_spread":0.2795712444356481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385968718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99262714,0.0034595465,0.0026266584,0.00043284084,0.00018273017,0.00054797676,0.000058484984,0.0000365463,0.00002809063],"genre_scores_gemma":[0.9993532,0.0002917209,0.000045960394,0.000049389306,0.00006544127,0.00000356815,0.00015534587,0.000018436916,0.000016985006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785274,0.0010301302,0.00042521866,0.00033120462,0.00020113023,0.0001595742],"domain_scores_gemma":[0.9992699,0.000086736356,0.0001072736,0.00030804108,0.000042605814,0.00018546892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015117808,0.0001204293,0.0006486614,0.00021413693,0.000039448292,0.0000058366372,0.000048953763,0.00004233166,0.0000045854313],"category_scores_gemma":[0.00028349177,0.00010671714,0.00018154156,0.00027848018,0.00017211173,0.000021124755,0.000025339297,0.0001908717,0.0000034436187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009874894,0.00053255353,0.88563013,0.0003931415,0.00070209714,0.00012202305,0.003922972,0.0030127075,0.0030395864,0.00015487836,0.002073731,0.09942866],"study_design_scores_gemma":[0.0007661667,0.00069478096,0.9901374,0.00004688703,0.00015277498,0.00001558625,0.0040172706,0.0018089052,0.00021521942,0.000012159216,0.0020284208,0.00010445584],"about_ca_topic_score_codex":0.000045368997,"about_ca_topic_score_gemma":0.0000085463535,"teacher_disagreement_score":0.104507215,"about_ca_system_score_codex":0.000019837336,"about_ca_system_score_gemma":0.00007413385,"threshold_uncertainty_score":0.43517986},"labels":[],"label_agreement":null},{"id":"W4386117021","doi":"10.1007/s00330-023-10155-8","title":"Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Medicine; Diagnostic odds ratio; Breast cancer; Meta-analysis; Confidence interval; Odds ratio; Cochrane Library; Magnetic resonance imaging; Lymph node; Internal medicine; Subgroup analysis; Neuroradiology; Likelihood ratios in diagnostic testing; Axillary lymph nodes; Oncology; Axilla; Radiology; Cancer","score_opus":0.03381839779072114,"score_gpt":0.3243035102045941,"score_spread":0.2904851124138729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386117021","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":[0.00023535911,0.9968158,0.000028798888,0.0001852331,0.000054558794,0.0015745981,0.0010690221,0.000014314002,0.00002234082],"genre_scores_gemma":[0.0009318481,0.99625975,0.0001383554,0.0003876562,0.000079962796,0.0016108942,0.0003854775,0.000114276285,0.00009179864],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9967874,0.0008745621,0.0010727482,0.0007457653,0.00009560624,0.00042391836],"domain_scores_gemma":[0.9981375,0.00031684522,0.0007493454,0.00063529983,0.00008956854,0.00007145564],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006374723,0.00056530104,0.0056512146,0.00021166407,0.00004694422,0.000016042633,0.00023708314,0.00013902744,0.00001959817],"category_scores_gemma":[0.00012697648,0.00038972366,0.0011623151,0.0004127797,0.00014363152,0.0000062057497,0.00016090448,0.0001072108,0.0000058352102],"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":[0.000039954517,0.0000620826,0.0013336568,0.8545523,0.13750139,0.000047291862,0.000059802573,0.00003320356,0.0000016966219,0.0000020144748,0.00024132997,0.006125226],"study_design_scores_gemma":[0.00091137073,0.00009805716,0.0076277154,0.047153585,0.9283446,0.00041242506,0.000023045683,0.000016523372,0.000001557913,0.000001636586,0.014497061,0.00091239304],"about_ca_topic_score_codex":0.000044230852,"about_ca_topic_score_gemma":0.000015889815,"teacher_disagreement_score":0.8073988,"about_ca_system_score_codex":0.000082406565,"about_ca_system_score_gemma":0.00013417898,"threshold_uncertainty_score":0.99985546},"labels":[],"label_agreement":null},{"id":"W4386391172","doi":"10.1007/s00330-023-10038-y","title":"Deep learning–based segmentation of whole-body fetal MRI and fetal weight estimation: assessing performance, repeatability, and reproducibility","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; University of Ottawa","funders":"Israel Innovation Authority","keywords":"Repeatability; Reproducibility; Percentile; Medicine; Gestational age; Fetus; Standard deviation; Ultrasound; Birth weight; Nuclear medicine; Intraclass correlation; Gold standard (test); Radiology; Pregnancy; Mathematics; Statistics","score_opus":0.01850491094102289,"score_gpt":0.2723586825002373,"score_spread":0.2538537715592144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386391172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947438,0.00026295427,0.00072626746,0.0010201611,0.00015123401,0.00025053433,0.0000029799364,0.00012544155,0.0027165816],"genre_scores_gemma":[0.9981941,0.00017341782,0.000907385,0.00013534298,0.00010394191,0.0000041221483,0.00014726,0.00001570405,0.00031873904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981846,0.0004945054,0.00034171567,0.0006765517,0.00011676066,0.000185856],"domain_scores_gemma":[0.9991781,0.00020351462,0.00012511382,0.00036340495,0.000045614688,0.00008422052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012862907,0.00013142083,0.00028170948,0.00010241159,0.00011541089,0.00001271684,0.000051045437,0.000050141316,0.000038763224],"category_scores_gemma":[0.0007261941,0.00010511506,0.000044503402,0.00024905844,0.00034233448,0.00010540183,0.00008850259,0.00023987799,0.000026517902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036548742,0.000118017786,0.9309183,0.00048276476,0.00003312557,0.00012218245,0.00026219423,0.0017546088,0.007743401,0.0000181774,0.00024975362,0.057932],"study_design_scores_gemma":[0.0011385066,0.0008617838,0.9277078,0.000010235764,0.00006237047,0.00015155831,0.000050716153,0.06912024,0.00024096986,0.00005944864,0.00050053897,0.00009581497],"about_ca_topic_score_codex":0.000003776599,"about_ca_topic_score_gemma":4.8467655e-7,"teacher_disagreement_score":0.06736564,"about_ca_system_score_codex":0.000011666161,"about_ca_system_score_gemma":0.000021123227,"threshold_uncertainty_score":0.42864677},"labels":[],"label_agreement":null},{"id":"W4386726306","doi":"10.1007/s00330-023-10231-z","title":"Safety profile and technical success of narrow window CT-guided percutaneous biopsy with blunt needle approach in the abdomen and pelvis","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Radiology; Interventional radiology; Interquartile range; Pelvis; Abdomen; Biopsy; Percutaneous; Neuroradiology; Blunt; Surgery","score_opus":0.01911382734311395,"score_gpt":0.2636225678097895,"score_spread":0.24450874046667553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386726306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595734,0.00035800334,0.0000053225276,0.0005260772,0.000024988625,0.00062388164,0.000016202484,0.000060341838,0.03881182],"genre_scores_gemma":[0.9989828,0.000103301965,0.00041685766,0.000091845235,0.000047887752,0.000022963883,0.000040932195,0.000026800602,0.00026660957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986411,0.0003730517,0.0002494728,0.00034511182,0.00013662646,0.00025465997],"domain_scores_gemma":[0.99935186,0.00022383333,0.00006265214,0.0002562987,0.000025258081,0.00008010216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005199871,0.00015584762,0.00039072635,0.00011679957,0.000050519,0.000008059568,0.00012118037,0.000036133042,0.000032637072],"category_scores_gemma":[0.00006591239,0.00009032953,0.000031582917,0.00040972602,0.0004128123,0.000024206774,0.00009014589,0.00021240309,0.000011053238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004561057,0.0006966827,0.9301801,0.0004732643,0.00034616934,0.023133054,0.0068734805,0.00013128584,0.018663745,0.0006962587,0.0020848005,0.012160098],"study_design_scores_gemma":[0.0024261377,0.0012688853,0.9509781,0.00003937156,0.000065923196,0.043503847,0.0004842703,0.00018919652,0.00006715139,0.000014985088,0.0008301104,0.00013202209],"about_ca_topic_score_codex":0.000043322267,"about_ca_topic_score_gemma":0.0000055708074,"teacher_disagreement_score":0.03940944,"about_ca_system_score_codex":0.000045546472,"about_ca_system_score_gemma":0.00003058658,"threshold_uncertainty_score":0.36835313},"labels":[],"label_agreement":null},{"id":"W4386955468","doi":"10.1007/s00330-023-10245-7","title":"The power of the radiologist’s last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports?","year":2023,"lang":"en","type":"letter","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Neuroradiology; Radiology; Interventional radiology; Metastasis; Medical physics; Neurology; Cancer; Internal medicine","score_opus":0.03557781134181018,"score_gpt":0.29449900154347475,"score_spread":0.2589211902016646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386955468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62987846,0.021483699,0.0008897483,0.33911848,0.0044050575,0.0013702102,0.00006043917,0.000562562,0.002231354],"genre_scores_gemma":[0.9551733,0.000954906,0.0003333537,0.037786443,0.0028447867,0.00002282933,0.00049030967,0.00028323304,0.0021108533],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99282706,0.0033241138,0.0011791646,0.0011223836,0.0004873787,0.0010599219],"domain_scores_gemma":[0.9957625,0.0016499175,0.0013138568,0.0010352007,0.00010634409,0.00013218193],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017065674,0.0007399604,0.0016476519,0.00025378095,0.00065940927,0.00009409021,0.0007624035,0.00049433735,0.000014823336],"category_scores_gemma":[0.0019382308,0.0004086191,0.0003911595,0.00044308507,0.0016855916,0.000072908675,0.00045899826,0.0066702445,0.000009188056],"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":[0.0007914105,0.00018580804,0.03689972,0.0019111887,0.008274148,0.040815588,0.02401694,0.0043346463,0.003297756,0.0006370978,0.65903234,0.21980338],"study_design_scores_gemma":[0.008748692,0.003168113,0.30714446,0.0029966468,0.005510746,0.03213477,0.0034304021,0.01164117,0.00043684465,0.0032365287,0.61754054,0.0040110564],"about_ca_topic_score_codex":0.00012560184,"about_ca_topic_score_gemma":0.00001209108,"teacher_disagreement_score":0.32529485,"about_ca_system_score_codex":0.00012500233,"about_ca_system_score_gemma":0.00011647251,"threshold_uncertainty_score":0.99983656},"labels":[],"label_agreement":null},{"id":"W4387033222","doi":"10.1007/s00330-023-09880-x","title":"Progression of non-obstructive coronary plaque: a practical CCTA-based risk score from the PARADIGM registry","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Dalio Foundation","keywords":"Medicine; Neuroradiology; Interventional radiology; Internal medicine; Radiology; Cardiology; Neurology","score_opus":0.025139193741231206,"score_gpt":0.31536393199760954,"score_spread":0.29022473825637835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387033222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98936945,0.0005415127,0.0008736915,0.004112766,0.0005865249,0.0003588636,0.00015657226,0.00015242673,0.003848204],"genre_scores_gemma":[0.99649805,0.00011531316,0.0017924939,0.00057917595,0.00058978546,0.000011012516,0.0002958121,0.000043207707,0.000075177595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982717,0.0006774794,0.0002781616,0.00032704094,0.00018483846,0.0002607973],"domain_scores_gemma":[0.9966904,0.0023243716,0.00022327446,0.0005957417,0.000056377503,0.000109831424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005424339,0.00015556789,0.00034825646,0.000055010056,0.00009585064,0.00001009319,0.00013031234,0.00007035522,0.000025986114],"category_scores_gemma":[0.0022975784,0.00010296407,0.00014093705,0.00020434469,0.00051181606,0.000030102312,0.00008491675,0.00039960962,0.00021644695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091847865,0.00010902026,0.86006397,0.00002909606,0.00017792621,0.0028963843,0.0004808889,0.0001133684,0.0008418839,0.00014504259,0.1267871,0.0074368287],"study_design_scores_gemma":[0.0017152228,0.00035231712,0.9872376,0.00016167185,0.00023408288,0.00043350333,0.00015101305,0.000627158,0.00039008548,0.00014768008,0.0084418105,0.000107865526],"about_ca_topic_score_codex":0.000047459376,"about_ca_topic_score_gemma":0.0000012266779,"teacher_disagreement_score":0.1271736,"about_ca_system_score_codex":0.000030775132,"about_ca_system_score_gemma":0.00016305999,"threshold_uncertainty_score":0.4198753},"labels":[],"label_agreement":null},{"id":"W4387159567","doi":"10.1007/s00330-023-10237-7","title":"Can absolute arterial phase hyperenhancement improve sensitivity of detection of hepatocellular carcinoma in indeterminate nodules on CT?","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","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; University Health Network","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Neuroradiology; Nuclear medicine; Radiology; Carcinoma; Interventional radiology; Nodule (geology); Kappa; Pathology; Internal medicine; Neurology","score_opus":0.04258356810582898,"score_gpt":0.2541965802788555,"score_spread":0.21161301217302653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387159567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833816,0.000059706144,0.000035129557,0.000101723126,0.0003407405,0.0005005931,0.000057475358,0.00004530338,0.00052116485],"genre_scores_gemma":[0.9994983,0.000039185463,0.000026968375,0.000037523438,0.00015351069,0.000015885274,0.00010672921,0.000035487814,0.000086376414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99815214,0.00061617064,0.00045319874,0.00034611346,0.00013377385,0.00029859957],"domain_scores_gemma":[0.9992621,0.000101664,0.00017930195,0.00032428373,0.00004991947,0.00008271651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007123673,0.00019315761,0.00051316683,0.00032948554,0.000030099769,0.0000031833333,0.000058660204,0.00004975877,0.000020996984],"category_scores_gemma":[0.00007415608,0.00017576087,0.00013252105,0.00025327335,0.000121232806,0.000023548027,0.000048108923,0.00015420384,0.00004440395],"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":[0.0007523909,0.00029280534,0.1469284,0.000102899736,0.00006517881,0.0033223357,0.0003930593,0.0000029939997,0.8132246,0.000013889549,0.000019760031,0.034881707],"study_design_scores_gemma":[0.005800698,0.0029463933,0.26542658,0.00007418731,0.00010353989,0.00015132659,0.00007182943,0.011588816,0.7133752,0.000015984386,0.00027451644,0.0001708997],"about_ca_topic_score_codex":0.00018449604,"about_ca_topic_score_gemma":0.00003890419,"teacher_disagreement_score":0.11849818,"about_ca_system_score_codex":0.00007033524,"about_ca_system_score_gemma":0.00004199262,"threshold_uncertainty_score":0.716732},"labels":[],"label_agreement":null},{"id":"W4387378855","doi":"10.1007/s00330-023-10228-8","title":"Impact of coronary CT image quality on the accuracy of the FFRCT Planner","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Interventional radiology; Neuroradiology; Radiology; Planner; Ultrasound; Image quality; Computed tomography; Medical physics; Artificial intelligence; Image (mathematics); Computer science; Neurology","score_opus":0.04331112351962449,"score_gpt":0.3535681438241068,"score_spread":0.3102570203044823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387378855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96775925,0.00013752466,0.0000057455936,0.0015024428,0.0002807843,0.00016503739,0.000086229906,0.000040989376,0.030021971],"genre_scores_gemma":[0.99877554,0.000046601665,0.000011278706,0.0005063003,0.00015710191,0.0000015241257,0.000026988473,0.000020593447,0.00045404438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984736,0.0008438737,0.00025134993,0.00013789638,0.000119357836,0.00017394777],"domain_scores_gemma":[0.9967927,0.0023774172,0.00014535438,0.0005932223,0.000050651608,0.000040700892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008920604,0.000100006364,0.0002723181,0.00004558374,0.00004295921,0.000002971346,0.0001767653,0.000014498123,0.000075174794],"category_scores_gemma":[0.0037292526,0.00004757516,0.0002784721,0.00017761963,0.00030975125,0.0000134749425,0.000096163305,0.00020938968,0.00017962884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003100546,0.00010706501,0.78994423,0.00004067881,0.00023614238,0.0002657355,0.00054843456,0.00016470112,0.0142311845,0.0008395174,0.19054982,0.0027624485],"study_design_scores_gemma":[0.00053037296,0.00023919818,0.9961996,0.000041014213,0.000043948246,0.00019284236,0.00006425304,0.00001928285,0.0006118112,0.000046162015,0.0019628615,0.000048640297],"about_ca_topic_score_codex":0.000047669124,"about_ca_topic_score_gemma":4.6922452e-7,"teacher_disagreement_score":0.2062554,"about_ca_system_score_codex":0.000021999902,"about_ca_system_score_gemma":0.00006357937,"threshold_uncertainty_score":0.4464533},"labels":[],"label_agreement":null},{"id":"W4387420633","doi":"10.1007/s00330-023-10267-1","title":"Increased confidence of radiomics facilitating pretherapeutic differentiation of BRAF-altered pediatric low-grade glioma","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Mental Health Research Canada; Hospital for Sick Children; University of Toronto","funders":"Canadian Cancer Society; Fondation Brain Canada","keywords":"Nomogram; Medicine; Thresholding; Confidence interval; Radiomics; Glioma; Random forest; Artificial intelligence; Radiology; Oncology; Computer science; Internal medicine","score_opus":0.02816648688444162,"score_gpt":0.27521300048879777,"score_spread":0.24704651360435614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387420633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982137,0.00065902836,0.00014331163,0.000099842684,0.00018725824,0.00033696948,0.000042761803,0.00007529288,0.0002418433],"genre_scores_gemma":[0.9990909,0.00028664694,0.00025089522,0.000047394842,0.00013471344,0.000009850314,0.00012709551,0.000028533053,0.000023978526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983441,0.00047457297,0.0005202168,0.00027122098,0.0001532847,0.0002365892],"domain_scores_gemma":[0.99868804,0.0005388153,0.00028164746,0.00032072203,0.00008256009,0.00008818993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003708857,0.00015653268,0.0004563273,0.0003524188,0.000035925776,0.0000044007397,0.00012027029,0.00005384558,0.000046056353],"category_scores_gemma":[0.00022536551,0.00013421665,0.00013582046,0.0004687931,0.00010852179,0.00003173669,0.00004257724,0.00009972404,0.000059670012],"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":[0.00028988117,0.00055534753,0.44281745,0.00057925726,0.00038753176,0.00037823143,0.0021810785,0.00014818754,0.5475378,0.0005393831,0.0008059411,0.0037799228],"study_design_scores_gemma":[0.003993081,0.0007871277,0.961879,0.00007133066,0.00028781657,0.00020043935,0.00014277847,0.00142215,0.0309205,0.00013320499,0.000028280483,0.00013425134],"about_ca_topic_score_codex":0.0000242099,"about_ca_topic_score_gemma":0.0000010394219,"teacher_disagreement_score":0.51906157,"about_ca_system_score_codex":0.00003117263,"about_ca_system_score_gemma":0.000040134415,"threshold_uncertainty_score":0.54731965},"labels":[],"label_agreement":null},{"id":"W4387533586","doi":"10.1007/s00330-023-10269-z","title":"Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Medicine; Thyroid nodules; Neuroradiology; Radiology; Ultrasound; Nodule (geology); Receiver operating characteristic; Malignancy; Thyroid; Fine-needle aspiration; Test set; Grading (engineering); Artificial intelligence; Biopsy; Internal medicine; Computer science","score_opus":0.0239640445219266,"score_gpt":0.2986794843862092,"score_spread":0.27471543986428265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387533586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99423057,0.0008134311,0.00013944927,0.002519555,0.00023139165,0.0009684352,0.000005540069,0.00024660194,0.00084501103],"genre_scores_gemma":[0.9974818,0.0008094043,0.00012144174,0.00064512016,0.00027954136,0.00037968825,0.000119602926,0.000052473537,0.00011090754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822974,0.00052448123,0.00029709772,0.000505176,0.00013135944,0.0003121579],"domain_scores_gemma":[0.9988937,0.00048734844,0.00008596372,0.00027145588,0.000056038403,0.00020551194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034279385,0.00019031654,0.00032654253,0.00018683793,0.00018254649,0.00003479943,0.00008074883,0.00003646123,0.000037251397],"category_scores_gemma":[0.00032515533,0.00016610822,0.00005667774,0.0002394718,0.000058578527,0.00004595831,0.00009726105,0.00018723978,0.0009061728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015269003,0.0010954835,0.9690078,0.000025497346,0.0002231313,0.0007227065,0.0030709244,0.000382758,0.0026159754,0.000044786022,0.003841343,0.018816913],"study_design_scores_gemma":[0.002614628,0.0027059305,0.9895887,0.00007021799,0.00020166523,0.000062751016,0.0010835541,0.0008121532,0.00012501156,0.0000035122723,0.0025821135,0.0001497591],"about_ca_topic_score_codex":0.000018813018,"about_ca_topic_score_gemma":0.000021943255,"teacher_disagreement_score":0.02058091,"about_ca_system_score_codex":0.00010755169,"about_ca_system_score_gemma":0.000010623541,"threshold_uncertainty_score":0.99987173},"labels":[],"label_agreement":null},{"id":"W4387600012","doi":"10.1007/s00330-023-10223-z","title":"Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","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":"Université de Montréal; Montreal Heart Institute","funders":"Charité – Universitätsmedizin Berlin; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; British Heart Foundation","keywords":"Medicine; Coronary artery disease; Chest pain; Neuroradiology; Radiology; Internal medicine; Interventional radiology; Cardiology; Coronary angiography; Angiography; Ultrasound; Computed tomography angiography; Neurology; Myocardial infarction","score_opus":0.07372519763378957,"score_gpt":0.305413067862451,"score_spread":0.2316878702286614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387600012","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":[0.0045438437,0.9547547,0.0017673376,0.00006308418,0.00035428393,0.008164535,0.030197464,0.00010655519,0.000048205253],"genre_scores_gemma":[0.22319154,0.657846,0.004837092,0.00049122795,0.000248194,0.0051469486,0.10735913,0.000780619,0.00009929147],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9940973,0.001909123,0.0019784512,0.0010733327,0.00036592706,0.0005758822],"domain_scores_gemma":[0.9865236,0.007960054,0.0023350625,0.0010488235,0.0018228949,0.00030951353],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012929764,0.0008881579,0.007122327,0.0035579393,0.00010328861,0.000015146756,0.00038436017,0.00024204033,0.000018248804],"category_scores_gemma":[0.00075886457,0.0007145509,0.009794051,0.005000732,0.0008340533,0.00010009958,0.00013048752,0.00026203576,0.0000015636477],"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":[0.0028510122,0.002835623,0.41174683,0.024853228,0.5258396,0.00020348383,0.00036526023,0.000089105604,0.0000066307507,0.00004690987,0.016587589,0.014574704],"study_design_scores_gemma":[0.0038588657,0.0053281505,0.48570898,0.002266937,0.49327686,0.000025763735,0.00012977864,0.00006659053,0.000005058688,0.00002712628,0.008627425,0.0006784542],"about_ca_topic_score_codex":0.000020120153,"about_ca_topic_score_gemma":0.000017439661,"teacher_disagreement_score":0.29690874,"about_ca_system_score_codex":0.000066043285,"about_ca_system_score_gemma":0.0004397942,"threshold_uncertainty_score":0.99953055},"labels":[],"label_agreement":null},{"id":"W4387729227","doi":"10.1007/s00330-023-10313-y","title":"To be or not to be a pervious thrombus in acute ischemic stroke: does functional outcome after mechanical thrombectomy depend on clot time-attenuation curves?","year":2023,"lang":"en","type":"letter","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Attenuation; Thrombus; Stroke (engine); Thrombolysis; Radiology; Intracranial Embolism; Neurology; Cardiology; Internal medicine; Embolism","score_opus":0.04663648136019481,"score_gpt":0.29908276129199973,"score_spread":0.2524462799318049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387729227","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":[0.27463594,0.00004934927,0.00033437723,0.71417254,0.001949734,0.0024291158,0.0007496767,0.00040725718,0.00527203],"genre_scores_gemma":[0.022504775,0.00008878749,0.0010664548,0.89875513,0.0036736727,0.00026474235,0.0025530902,0.00041465246,0.07067867],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99436826,0.00065767235,0.0011570845,0.0017812622,0.00093582296,0.0010999066],"domain_scores_gemma":[0.99748087,0.0005230442,0.0002763177,0.0013075961,0.00012873509,0.00028341022],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009335617,0.0008943115,0.001556061,0.00083740766,0.00006866525,0.0000372964,0.0006630563,0.0005708648,0.0025242108],"category_scores_gemma":[0.000684943,0.000659155,0.00034518825,0.00049615715,0.0000921342,0.00007096511,0.0007981098,0.002560005,0.0059946044],"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":[0.0017461273,0.00007912352,0.0008273384,0.00024022815,0.0006655534,0.008359616,0.00020659946,0.000008866089,0.0077895494,0.0000029393245,0.9798688,0.00020525938],"study_design_scores_gemma":[0.0030979316,0.0018901041,0.04772855,0.00050305744,0.001007676,0.00078683626,0.000059042548,0.000038759834,0.0007144122,0.0000017187432,0.94316363,0.0010082745],"about_ca_topic_score_codex":0.000036922538,"about_ca_topic_score_gemma":0.00006183093,"teacher_disagreement_score":0.25213116,"about_ca_system_score_codex":0.0006376301,"about_ca_system_score_gemma":0.0001197042,"threshold_uncertainty_score":0.99974114},"labels":[],"label_agreement":null},{"id":"W4388712377","doi":"10.1007/s00330-023-10434-4","title":"Evaluation of a multiparametric renal CT algorithm for diagnosis of clear-cell renal cell carcinoma among small (≤ 4 cm) solid renal masses","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Clear cell renal cell carcinoma; Neuroradiology; Radiology; Renal cell carcinoma; Papillary renal cell carcinomas; Biopsy; Renal mass; Logistic regression; Area under the curve; Multidetector computed tomography; Ultrasound; Confidence interval; Predictive value of tests; Nephrology; Kidney; Nephrectomy; Internal medicine; Computed tomography","score_opus":0.06767758261849183,"score_gpt":0.29647096733604705,"score_spread":0.22879338471755523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388712377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897442,0.0013821523,0.0007997937,0.00005320926,0.00023962447,0.0015437871,0.000100146644,0.00007944732,0.006057632],"genre_scores_gemma":[0.98930705,0.00018655819,0.008743951,0.000038462094,0.00033947584,0.00016771897,0.00031949094,0.00010799455,0.00078931777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99574906,0.0013851034,0.000956305,0.00070058863,0.00062903296,0.00057989196],"domain_scores_gemma":[0.9969883,0.00089839444,0.00059927086,0.0006638145,0.0006262419,0.00022400722],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030486155,0.00035848067,0.00087064516,0.0008229894,0.00007788054,0.000010093304,0.00027573112,0.00009939215,0.00011409859],"category_scores_gemma":[0.00065549277,0.00031272304,0.00042058938,0.0008349923,0.0002788891,0.000052032745,0.00013201473,0.00026155144,0.000086479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022792662,0.0031902597,0.4952336,0.0013644425,0.0014947765,0.0031972302,0.0022090948,0.006627944,0.21956168,0.000034887533,0.02973177,0.23507507],"study_design_scores_gemma":[0.009858308,0.005837723,0.62285477,0.00011711375,0.0018571867,0.00019455969,0.00015850828,0.0343638,0.32313883,0.000045002922,0.0012288287,0.00034538234],"about_ca_topic_score_codex":0.00012710984,"about_ca_topic_score_gemma":0.00001069121,"teacher_disagreement_score":0.23472969,"about_ca_system_score_codex":0.0002250197,"about_ca_system_score_gemma":0.00023835119,"threshold_uncertainty_score":0.99993247},"labels":[],"label_agreement":null},{"id":"W4388797528","doi":"10.1007/s00330-023-10447-z","title":"Split scar sign to predict complete response in rectal cancer after neoadjuvant chemoradiotherapy: systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"European Radiology","topic":"Colorectal Cancer Surgical Treatments","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; Society of Memorial Sloan Kettering; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"Medicine; SSS*; Neoadjuvant therapy; Meta-analysis; Colorectal cancer; Magnetic resonance imaging; Chemoradiotherapy; Radiology; Odds ratio; Response Evaluation Criteria in Solid Tumors; Diagnostic odds ratio; Internal medicine; Oncology; Radiation therapy; Cancer; Clinical trial; Breast cancer","score_opus":0.13239990682983982,"score_gpt":0.38682537486792146,"score_spread":0.25442546803808164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388797528","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":[0.00018163069,0.9915895,0.0000061999517,0.0005667402,0.00010061841,0.006609238,0.0005697691,0.00012268501,0.00025364629],"genre_scores_gemma":[0.00012932278,0.9913832,0.00012127251,0.0017517783,0.00010523939,0.0029792313,0.00012012121,0.00020631714,0.00320354],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98911256,0.006880643,0.001824369,0.0012893624,0.00031442594,0.00057863735],"domain_scores_gemma":[0.99666214,0.0011818305,0.00053274725,0.001150939,0.0000772075,0.0003951099],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0029817657,0.0008687425,0.01597447,0.00089210965,0.00003895454,0.000026113083,0.00035165602,0.00018135404,0.000866474],"category_scores_gemma":[0.00061186077,0.0005549353,0.0024273223,0.002183374,0.0001317001,0.000031633917,0.0002008233,0.00053383224,0.00043596452],"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":[0.0012125935,0.000087271925,0.000043865955,0.7515169,0.23370872,0.006837734,0.0002001595,0.0000061416094,9.3161526e-7,0.0000029570908,0.00089140976,0.005491326],"study_design_scores_gemma":[0.0006025197,0.0008046048,0.0008428073,0.054074187,0.80594224,0.0008456631,0.000003862304,0.0000066930083,5.3523728e-8,0.00000102711,0.13633123,0.0005451368],"about_ca_topic_score_codex":0.000046910565,"about_ca_topic_score_gemma":0.000042658776,"teacher_disagreement_score":0.6974427,"about_ca_system_score_codex":0.00072072615,"about_ca_system_score_gemma":0.00018767516,"threshold_uncertainty_score":0.99969023},"labels":[],"label_agreement":null},{"id":"W4388969691","doi":"10.1007/s00330-023-10460-2","title":"Pre-operative MRI in patients with ductal carcinoma in situ: the ongoing debate","year":2023,"lang":"en","type":"letter","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"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; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Ductal carcinoma; Radiology; In situ; Ultrasound; Cancer; Internal medicine; Neurology; Breast cancer","score_opus":0.014566486933582404,"score_gpt":0.247914260508416,"score_spread":0.2333477735748336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388969691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71298444,0.0001777653,0.0000036864399,0.2767264,0.00067923573,0.0011493891,0.000034244906,0.0000683216,0.008176518],"genre_scores_gemma":[0.6125273,0.00034644795,0.00014351659,0.37834293,0.0044205585,0.00017326715,0.0009428584,0.00038862939,0.002714479],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9965473,0.001337375,0.00048269032,0.0007511802,0.00026068828,0.0006207832],"domain_scores_gemma":[0.9985479,0.0004791381,0.00017349701,0.000677878,0.00006764908,0.000053908632],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00044703824,0.00040017982,0.000708452,0.00036121436,0.00005275364,0.000019243094,0.0003870042,0.00024321787,0.00008494519],"category_scores_gemma":[0.000094672076,0.00026044133,0.000077517,0.00039062006,0.00026582667,0.00004792685,0.00016717172,0.0024793986,0.0002938561],"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":[0.00012288429,0.000031103715,0.4336109,0.000060166887,0.000067425004,0.005060159,0.0015824859,0.00007348614,0.000005783318,0.0000024732208,0.5592386,0.00014450018],"study_design_scores_gemma":[0.0024214538,0.0007230888,0.87169594,0.0003358668,0.00006216669,0.00010773842,0.00004006197,0.000015539781,0.000011365287,0.0000037964082,0.12431626,0.00026671338],"about_ca_topic_score_codex":0.0001848766,"about_ca_topic_score_gemma":0.00039555138,"teacher_disagreement_score":0.43808505,"about_ca_system_score_codex":0.00037227172,"about_ca_system_score_gemma":0.00014235779,"threshold_uncertainty_score":0.9999848},"labels":[],"label_agreement":null},{"id":"W4388976847","doi":"10.1007/s00330-023-10429-1","title":"CT analysis of aortic calcifications to predict abdominal aortic aneurysm rupture","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Centre Hospitalier de l’Université de Montréal; McGill University; Université de Montréal; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Siemens Healthineers","keywords":"Medicine; Calcification; Abdominal aortic aneurysm; Neuroradiology; Radiology; Aneurysm; Internal medicine; Cardiology","score_opus":0.022433186997789064,"score_gpt":0.29843359438210393,"score_spread":0.27600040738431486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388976847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99181294,0.000073980875,0.0005961347,0.0009105965,0.00015809218,0.0004230026,0.000054050703,0.000296729,0.005674448],"genre_scores_gemma":[0.9948167,0.000032479227,0.00061767,0.000502102,0.000112958376,0.000025028354,0.00027020535,0.000050366034,0.0035724528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978296,0.00034443967,0.0006587116,0.00051877537,0.00022964519,0.00041883852],"domain_scores_gemma":[0.9984114,0.00018045276,0.00017302437,0.0008492378,0.00008812089,0.00029773166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039110554,0.00021228673,0.0006771903,0.0007939522,0.00007279724,0.0000058025125,0.00021405969,0.000041485768,0.00026643052],"category_scores_gemma":[0.0004250092,0.00017993273,0.00029317153,0.002151615,0.00017383721,0.000029942452,0.00009291595,0.0001770571,0.0009687667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043356002,0.00062946614,0.9121174,0.00012037081,0.0056147412,0.008127573,0.0024563272,0.0017431779,0.025688771,0.00018918313,0.030428207,0.0124512045],"study_design_scores_gemma":[0.0006433517,0.0005672441,0.9871658,0.000017128126,0.0033501738,0.00064915814,0.00015333935,0.005699402,0.00017184274,0.000008414479,0.001437164,0.0001369452],"about_ca_topic_score_codex":0.000026958067,"about_ca_topic_score_gemma":0.0000043267273,"teacher_disagreement_score":0.07504842,"about_ca_system_score_codex":0.00006801376,"about_ca_system_score_gemma":0.00006413618,"threshold_uncertainty_score":0.9998091},"labels":[],"label_agreement":null},{"id":"W4389668922","doi":"10.1007/s00330-023-10489-3","title":"White matter hyperintensities in cholinergic pathways correlates of cognitive impairment in moyamoya disease","year":2023,"lang":"en","type":"article","venue":"European Radiology","topic":"Moyamoya disease diagnosis and treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Hyperintensity; Montreal Cognitive Assessment; Cognition; Medicine; Receiver operating characteristic; Cardiology; Internal medicine; Logistic regression; Psychology; Audiology; Cognitive impairment; Psychiatry; Radiology; Magnetic resonance imaging","score_opus":0.017805103797679966,"score_gpt":0.24567722401805892,"score_spread":0.22787212022037895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389668922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921398,0.00058059895,0.0000013529288,0.0006177156,0.00013628359,0.00043357635,0.00011495214,0.000051726296,0.005923967],"genre_scores_gemma":[0.99780774,0.00032836254,0.000011084067,0.0007364006,0.000058487425,0.0000626629,0.00028465374,0.000038219143,0.0006724071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985654,0.00027208545,0.00039633247,0.00033361977,0.0001058918,0.00032668008],"domain_scores_gemma":[0.9993314,0.00016072924,0.00007192142,0.00021673932,0.000047748796,0.0001714618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023822834,0.00018427166,0.0004188531,0.000360191,0.00001764597,0.000004694682,0.00006500518,0.00003556022,0.00040475983],"category_scores_gemma":[0.000100362915,0.00015257101,0.00011947706,0.00024166898,0.00012728536,0.000028153554,0.00007601328,0.0001454684,0.00071052084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058361003,0.0005216982,0.99029934,0.00006996422,0.00005635649,0.0049010366,0.0012556878,0.0002928746,0.00004188092,0.00007178564,0.00167156,0.00023417859],"study_design_scores_gemma":[0.0030422711,0.00029602193,0.99478644,0.00036053476,0.00007006194,0.000042507378,0.00062595156,0.0005254157,0.000028905775,0.000048740978,0.000049860948,0.00012326372],"about_ca_topic_score_codex":0.000021802616,"about_ca_topic_score_gemma":0.000008271651,"teacher_disagreement_score":0.005667895,"about_ca_system_score_codex":0.0000567436,"about_ca_system_score_gemma":0.00004193273,"threshold_uncertainty_score":0.91325444},"labels":[],"label_agreement":null},{"id":"W4390108719","doi":"10.1007/s00330-023-10525-2","title":"Assessing brain maturation on neonatal MRI—do we need a more quantitative approach?","year":2023,"lang":"en","type":"letter","venue":"European Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Neuroradiology; Medicine; Interventional radiology; Radiology; Magnetic resonance imaging; Neurology; Ultrasound; Medical physics; Psychiatry","score_opus":0.06382837223443463,"score_gpt":0.36395232333951416,"score_spread":0.3001239511050795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390108719","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":[0.00022851252,0.00038479076,0.19699593,0.7792673,0.00027427293,0.0009805682,0.000083292725,0.00088305573,0.020902246],"genre_scores_gemma":[0.001684556,0.00073727244,0.21024446,0.74773,0.009186333,0.00027378372,0.009366186,0.00070184184,0.020075541],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978635,0.000400843,0.00040535154,0.00073412014,0.00020244722,0.00039376382],"domain_scores_gemma":[0.99850225,0.00042199978,0.00029356056,0.0006366563,0.00007724429,0.0000682847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026238823,0.00037476548,0.0005593346,0.00031790038,0.00013671487,0.000051177314,0.00024154155,0.00038353886,0.00002809203],"category_scores_gemma":[0.00018516375,0.00032222384,0.00016587687,0.00030335088,0.0002282451,0.00008654206,0.000086236614,0.002060532,0.0003923955],"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":[0.00005257153,0.000023097264,0.0000029048213,0.000086967535,0.0000397948,0.0010106462,0.0003274265,0.000087827066,0.00054571393,0.002198539,0.9871436,0.008480952],"study_design_scores_gemma":[0.0004468046,0.0003527495,0.00042063772,0.0002715819,0.00007140341,0.00065190584,0.00040249692,0.0007714092,0.000043646378,0.0006303531,0.9956018,0.00033524007],"about_ca_topic_score_codex":0.0000031227917,"about_ca_topic_score_gemma":1.7835542e-7,"teacher_disagreement_score":0.031537313,"about_ca_system_score_codex":0.000114153154,"about_ca_system_score_gemma":0.000056565175,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W4391024048","doi":"10.1007/s00330-023-10576-5","title":"Correction to: Split scar sign to predict complete response in rectal cancer after neoadjuvant chemoradiotherapy: systematic review and meta-analysis","year":2024,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"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; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Meta-analysis; Sign (mathematics); Chemoradiotherapy; Colorectal cancer; Neuroradiology; Radiology; Interventional radiology; Neoadjuvant therapy; Complete response; Oncology; Surgery; Internal medicine; Radiation therapy; Cancer; Chemotherapy; Neurology","score_opus":0.03592089974629673,"score_gpt":0.3177783308670568,"score_spread":0.28185743112076006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391024048","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007998767,0.9435478,0.00007475668,0.010049571,0.014495931,0.010851245,0.0011358446,0.00033223853,0.011513881],"genre_scores_gemma":[0.07680458,0.03724457,0.00057266274,0.034398347,0.0023385305,0.007595103,0.00084517064,0.00082776276,0.8393733],"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9931176,0.003344511,0.0012026376,0.0014228943,0.0003779545,0.0005344255],"domain_scores_gemma":[0.997724,0.0004915334,0.00026662546,0.000948147,0.00012789099,0.00044181047],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020096228,0.000753137,0.006525625,0.0009817084,0.000041007635,0.00004654083,0.00025679855,0.0001988607,0.001332836],"category_scores_gemma":[0.00073742896,0.0005356733,0.0011791446,0.0017122502,0.00009462217,0.00003475477,0.00017851182,0.001008843,0.00037114506],"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":[0.006418657,0.00011621565,0.00020988593,0.069361314,0.1354994,0.0061746673,0.0009148315,0.000069449015,0.000064933476,0.0000014518997,0.7809542,0.00021503176],"study_design_scores_gemma":[0.0010923293,0.0038785,0.021661201,0.02265935,0.8065399,0.0015561964,0.000025874007,0.00030771346,0.0000039855986,0.0000031233517,0.1412018,0.001070047],"about_ca_topic_score_codex":0.00017117498,"about_ca_topic_score_gemma":0.00029011394,"teacher_disagreement_score":0.90630317,"about_ca_system_score_codex":0.0010942325,"about_ca_system_score_gemma":0.00020556457,"threshold_uncertainty_score":0.9997095},"labels":[],"label_agreement":null},{"id":"W4392183920","doi":"10.1007/s00330-024-10605-x","title":"ESR Essentials: ten steps to cardiac MR—practice recommendations by ESCR","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Standardization; Triage; Quality assurance; Medical physics; Risk analysis (engineering); Computer science; Medical emergency; Pathology","score_opus":0.014277109841692908,"score_gpt":0.31587487513223483,"score_spread":0.30159776529054194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392183920","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03232212,0.030706119,0.01738186,0.18602349,0.015984897,0.0011334016,0.00062919216,0.0015222403,0.7142967],"genre_scores_gemma":[0.93802285,0.002180942,0.009191826,0.020888384,0.0050234566,0.0000439786,0.001094983,0.00025889822,0.0232947],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982222,0.00066597795,0.0002766764,0.00041062423,0.00011804503,0.00030652146],"domain_scores_gemma":[0.9981314,0.0011138064,0.000035492765,0.00040087468,0.00009025503,0.00022815888],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088310643,0.00016200324,0.00032645176,0.00015027206,0.0000786971,0.0000699088,0.00010060008,0.000044900804,0.00017509297],"category_scores_gemma":[0.0020204294,0.00014942253,0.00015773362,0.00025606394,0.00006629828,0.00008945602,0.00006830049,0.000329795,0.0034486856],"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":[0.000032867098,0.0000489846,0.0009472041,0.000026181471,0.0002260915,0.00043452514,0.0003941981,0.000009481316,0.004475706,0.00061713194,0.97333056,0.019457078],"study_design_scores_gemma":[0.00027572984,0.00015855869,0.0027933735,0.000082618964,0.00037042244,0.0004968317,0.00025985608,0.00002822158,0.00040778323,0.0000140118,0.9949534,0.00015921057],"about_ca_topic_score_codex":0.00003389926,"about_ca_topic_score_gemma":4.8014215e-7,"teacher_disagreement_score":0.9057007,"about_ca_system_score_codex":0.00007129613,"about_ca_system_score_gemma":0.00006803867,"threshold_uncertainty_score":0.99732727},"labels":[],"label_agreement":null},{"id":"W4392630681","doi":"10.1007/s00330-024-10653-3","title":"ESR Essentials: Imaging of sacroiliitis—practice recommendations by ESSR","year":2024,"lang":"en","type":"review","venue":"European Radiology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Sacroiliitis; Medicine; Radiology; Sacroiliac joint; Magnetic resonance imaging; Neuroradiology; Coronal plane; Medical imaging; Conventional radiography; Radiography","score_opus":0.03757757348620207,"score_gpt":0.3828975142408815,"score_spread":0.3453199407546794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392630681","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":[0.000003761596,0.9594753,0.000035094872,0.0007409184,0.0012809625,0.00044848223,0.0005046691,0.00008625882,0.037424553],"genre_scores_gemma":[0.00006563845,0.99486846,0.0005375111,0.00022490317,0.00042137838,0.000029612176,0.0010545958,0.00013242204,0.0026654864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99735445,0.0008401521,0.0008139871,0.0005568106,0.00011125573,0.0003233633],"domain_scores_gemma":[0.99857277,0.00038417015,0.00039290564,0.00046624834,0.00008349188,0.00010039141],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044133273,0.0003969432,0.0017960686,0.00019207549,0.00008832636,0.000019512287,0.00016098472,0.00008174072,0.00036844716],"category_scores_gemma":[0.0003365429,0.00031039966,0.00047461977,0.00025912895,0.00018121362,0.000057084995,0.000182156,0.0004713094,0.001060009],"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":[0.000011804619,0.00013331707,0.0000065510803,0.003101317,0.0013248795,0.0015036671,0.000051856954,1.5151771e-8,0.000002516606,0.00030967017,0.16522215,0.82833225],"study_design_scores_gemma":[0.0005310491,0.00014733411,0.000004608546,0.0066807913,0.0054588798,0.0048924405,0.000054098986,4.9938353e-7,7.5608426e-7,0.000009398372,0.98203033,0.00018983256],"about_ca_topic_score_codex":0.000014427374,"about_ca_topic_score_gemma":0.0000011984131,"teacher_disagreement_score":0.8281424,"about_ca_system_score_codex":0.00010035086,"about_ca_system_score_gemma":0.0000945062,"threshold_uncertainty_score":0.9999348},"labels":[],"label_agreement":null},{"id":"W4393043512","doi":"10.1007/s00330-024-10690-y","title":"The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"European Radiology","topic":"MRI in cancer diagnosis","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":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"Tel Aviv University","keywords":"Medicine; Meta-analysis; Breast MRI; Neuroradiology; Magnetic resonance imaging; Diagnostic odds ratio; Radiology; Receiver operating characteristic; Breast cancer; Breast imaging; Publication bias; Nuclear medicine; Mammography; Internal medicine; Cancer; Neurology","score_opus":0.066969219407638,"score_gpt":0.3307514707281871,"score_spread":0.2637822513205491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393043512","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":[0.000023652592,0.9934872,0.000027019425,0.0014939086,0.00016835818,0.0036746291,0.00092311547,0.000062855506,0.00013927059],"genre_scores_gemma":[0.00039982266,0.9971214,0.00006391278,0.00043118894,0.00010653068,0.00083807396,0.000221478,0.00012209108,0.0006954832],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99353135,0.0027622313,0.002074838,0.0009308345,0.00030084475,0.00039988675],"domain_scores_gemma":[0.99345404,0.0036848828,0.0008339444,0.0017030463,0.00011357299,0.00021051579],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015875333,0.0007171816,0.010381816,0.00035572672,0.00010230993,0.000041748575,0.00065129215,0.00012042667,0.00023064793],"category_scores_gemma":[0.0006028039,0.00033528308,0.0024478,0.00093381014,0.00019149025,0.000025964244,0.00028561163,0.0005156343,0.00044673932],"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":[0.000006505787,0.000039715665,0.000012508636,0.8095823,0.17995955,0.00015705946,0.000091850685,0.000001781393,2.808707e-7,0.000033483164,0.0059682024,0.004146776],"study_design_scores_gemma":[0.00006682129,0.0001328112,0.000047253005,0.123528786,0.82282907,0.0006295815,0.000012197716,0.000005890896,3.0135794e-7,0.0000019208803,0.05249569,0.00024966948],"about_ca_topic_score_codex":0.00002561152,"about_ca_topic_score_gemma":0.000012095223,"teacher_disagreement_score":0.6860535,"about_ca_system_score_codex":0.000092431466,"about_ca_system_score_gemma":0.00009710169,"threshold_uncertainty_score":0.99990994},"labels":[],"label_agreement":null},{"id":"W4394759648","doi":"10.1007/s00330-024-10695-7","title":"Evaluating persistent T1-weighted lesions without concurrent abnormal enhancement on breast MRI in neoadjuvant chemotherapy patients: implications for complete pathological response","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Sinai Health System; Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Breast cancer; Pathological; Chemotherapy; Neoadjuvant therapy; Neuroradiology; Radiology; Magnetic resonance imaging; Univariate analysis; Breast MRI; Cancer; Internal medicine; Oncology; Multivariate analysis; Mammography","score_opus":0.08990369193624595,"score_gpt":0.3824874510938382,"score_spread":0.29258375915759227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394759648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642838,0.0007868777,0.002711373,0.02802921,0.00069663447,0.001950049,0.00032060925,0.0001534459,0.0010679567],"genre_scores_gemma":[0.9936887,0.0005050476,0.0022492255,0.0023474072,0.00029321053,0.00038047574,0.000299209,0.00006526886,0.00017148236],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99711794,0.0009586106,0.000574656,0.00071351667,0.00017488185,0.0004604274],"domain_scores_gemma":[0.99837637,0.0007953142,0.000108621476,0.00042482401,0.0001398245,0.00015501762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013465976,0.00026163156,0.00043844583,0.00022326219,0.0001261393,0.000024204393,0.00018938085,0.0000729317,0.00024702988],"category_scores_gemma":[0.0001411848,0.00020761545,0.00021399102,0.00021566339,0.00016646895,0.000037178183,0.00006331118,0.00033872263,0.00012418727],"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":[0.017706499,0.0053262217,0.17621091,0.0006126539,0.0009769558,0.00034038597,0.009420335,0.00084368954,0.08917326,0.005422899,0.1233253,0.57064086],"study_design_scores_gemma":[0.0071180216,0.008965009,0.90630347,0.0007011282,0.00017030117,0.00035707388,0.00011725718,0.006273146,0.0002423591,0.000052390176,0.069299616,0.000400207],"about_ca_topic_score_codex":0.0000041710664,"about_ca_topic_score_gemma":0.000002369077,"teacher_disagreement_score":0.7300926,"about_ca_system_score_codex":0.00048673447,"about_ca_system_score_gemma":0.0001230884,"threshold_uncertainty_score":0.8466312},"labels":[],"label_agreement":null},{"id":"W4394842687","doi":"10.1007/s00330-024-10694-8","title":"Association of clinical outcome and imaging endpoints in extensive ischemic stroke—comparing measures of cerebral edema","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universitätsklinikum Hamburg-Eppendorf","keywords":"Medicine; Neuroradiology; Modified Rankin Scale; Receiver operating characteristic; Area under the curve; Stroke (engine); Internal medicine; Edema; Midline shift; Nuclear medicine; Cardiology; Radiology; Ischemic stroke; Computed tomography; Ischemia; Neurology","score_opus":0.055523235399181047,"score_gpt":0.3362758040278332,"score_spread":0.28075256862865217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394842687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9459921,0.0011399976,0.00026027666,0.0007863686,0.00036833016,0.0001557915,0.0000059087097,0.000035866095,0.051255368],"genre_scores_gemma":[0.99730754,0.00008922326,0.00085785595,0.00020726814,0.00021245418,0.0000014309945,0.000008848574,0.000023562516,0.0012917967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981939,0.00030111874,0.0008506831,0.00030352394,0.00015267059,0.00019808285],"domain_scores_gemma":[0.99915665,0.00031530182,0.0002248815,0.00019025918,0.000060486596,0.0000523955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729983,0.00011680173,0.0006084438,0.00017811081,0.000008920651,0.0000050731596,0.00008959366,0.00004763386,0.000024101779],"category_scores_gemma":[0.0011223002,0.000104385676,0.000107931744,0.00008922812,0.0001033084,0.000044494933,0.00014834676,0.00031854445,0.000015644895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007888663,0.00002815857,0.95635194,0.00013602416,0.00021384851,0.00015520013,0.00023647705,0.0000042352362,0.0163247,0.000056002827,0.021063086,0.005351429],"study_design_scores_gemma":[0.0017773006,0.00010093533,0.98357993,0.00020414517,0.00020183803,0.000112143134,0.000250809,0.0013985484,0.0017918738,0.0000056087706,0.010474917,0.0001019623],"about_ca_topic_score_codex":0.00001114234,"about_ca_topic_score_gemma":0.0000027459846,"teacher_disagreement_score":0.051315464,"about_ca_system_score_codex":0.000066044624,"about_ca_system_score_gemma":0.000024315708,"threshold_uncertainty_score":0.42567244},"labels":[],"label_agreement":null},{"id":"W4394909754","doi":"10.1007/s00330-024-10752-1","title":"Clinical impact of whole-body MRI in staging and surveillance of patients with myxoid liposarcoma: a 14-year single-centre retrospective study","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Radiology; Retrospective cohort study; Cohort; Magnetic resonance imaging; Surgery; Internal medicine","score_opus":0.015343579518905678,"score_gpt":0.29525840162215633,"score_spread":0.27991482210325064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394909754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978687,0.00077484676,0.0000045349707,0.00011522046,0.00008938714,0.00055261044,0.000056717003,0.000024277579,0.0005137068],"genre_scores_gemma":[0.99968094,0.000053928823,0.000107244494,0.000013228671,0.000057653557,0.0000028219808,0.000027599766,0.00003178995,0.000024795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826205,0.0005866283,0.00044433022,0.0003825604,0.00012948134,0.0001949544],"domain_scores_gemma":[0.99923223,0.00023534754,0.000113430724,0.00025307215,0.00008749422,0.00007839332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003254,0.00015601316,0.0005981358,0.00014181924,0.000014137251,0.000007430303,0.000059803573,0.000032199023,0.000022132162],"category_scores_gemma":[0.00011274913,0.00010368297,0.00009017126,0.0002091758,0.00015843143,0.000031961652,0.000058715585,0.00019428962,0.0000075102207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048749102,0.0027773727,0.9934938,0.000033795233,0.00043113055,0.00044348548,0.0007927686,0.0000037718198,0.000063581385,0.000022234115,0.00025110086,0.0011994703],"study_design_scores_gemma":[0.0053252983,0.006452358,0.98766077,0.00013146577,0.00006820816,0.000011972747,0.00016455767,0.000025414694,0.000007716703,0.0000049013083,0.00006563064,0.00008172866],"about_ca_topic_score_codex":0.000032765704,"about_ca_topic_score_gemma":0.000028146296,"teacher_disagreement_score":0.0058330507,"about_ca_system_score_codex":0.00010266133,"about_ca_system_score_gemma":0.0000453507,"threshold_uncertainty_score":0.4228069},"labels":[],"label_agreement":null},{"id":"W4396223241","doi":"10.1007/s00330-024-10769-6","title":"Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Neuroradiology; Interventional radiology; Medicine; Contrast (vision); Artificial intelligence; Radiology; Ultrasound; Algorithm; Phase contrast microscopy; Pattern recognition (psychology); Computer science; Neurology; Physics; Optics","score_opus":0.051734931650755774,"score_gpt":0.3353399726209769,"score_spread":0.28360504097022116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396223241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87065583,0.0010333962,0.12566087,0.00007457011,0.0004127967,0.0004013597,0.0000100529405,0.0003892287,0.0013619034],"genre_scores_gemma":[0.9948919,0.00002725319,0.0043297303,0.00015929442,0.0003367343,0.0000060909747,0.00003012674,0.000059851678,0.0001590379],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833024,0.0004596695,0.00034298762,0.00050503865,0.00008127452,0.000280783],"domain_scores_gemma":[0.9993756,0.000104936065,0.000054911514,0.00023976759,0.00003750996,0.00018729146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051747856,0.00020180269,0.00034608465,0.00015926566,0.00010353996,0.0001375861,0.00013324407,0.000034434604,0.00008643623],"category_scores_gemma":[0.000057572724,0.00016895644,0.000052290776,0.00016438572,0.00017415869,0.0001680722,0.00011137434,0.00023326857,0.0000969587],"study_design_candidate":"simulation_or_modeling","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":[0.00052137114,0.00026109058,0.000101738624,0.00004729607,0.0001760359,0.005391998,0.0005514578,0.00008736768,0.16078754,0.00007464918,0.000080959944,0.8319185],"study_design_scores_gemma":[0.0008482446,0.003040813,0.0015251673,0.00015133464,0.0003125747,0.017374635,0.0002883581,0.93463326,0.039322365,0.00009032104,0.0021690323,0.00024390419],"about_ca_topic_score_codex":0.00010143955,"about_ca_topic_score_gemma":0.0000055755713,"teacher_disagreement_score":0.9345459,"about_ca_system_score_codex":0.0001351572,"about_ca_system_score_gemma":0.000055361234,"threshold_uncertainty_score":0.6889844},"labels":[],"label_agreement":null},{"id":"W4397010815","doi":"10.1007/s00330-024-10783-8","title":"Computed tomography versus ultrasound for the diagnosis of acute cholecystitis: a systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"European Radiology","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Ultrasound; Acute cholecystitis; Radiology; Cholecystitis; Computed tomography; Meta-analysis; General surgery; Surgery; Gallbladder; Cholecystectomy; Internal medicine; Neurology","score_opus":0.08151634214971391,"score_gpt":0.3525895907562234,"score_spread":0.2710732486065095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397010815","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":[3.2248064e-7,0.9936224,0.00010543672,0.00034000352,0.00018355345,0.004766703,0.00059233786,0.00005066338,0.00033858677],"genre_scores_gemma":[0.000046007586,0.99747884,0.00011535159,0.0005986346,0.00006755843,0.0009233076,0.0004559291,0.00007312636,0.00024121694],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9967272,0.001105529,0.0011769072,0.00058182277,0.00014859822,0.00025988827],"domain_scores_gemma":[0.9964547,0.0019686793,0.0005157298,0.0008578613,0.000110008215,0.0000930158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010669754,0.0005098621,0.00836646,0.00041170095,0.000059732487,0.000026791695,0.000378579,0.00010842309,0.0001022372],"category_scores_gemma":[0.0003353375,0.00024247223,0.005152978,0.001160704,0.00024780814,0.000017554024,0.000080172875,0.00033218923,0.000030581825],"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":[0.0000066884154,0.000022574468,9.496435e-7,0.5343166,0.4581264,0.000032936612,0.000027522554,1.1882011e-7,2.2784794e-8,0.0000451689,0.0068922974,0.0005287242],"study_design_scores_gemma":[0.00025554758,0.0002485899,0.0000070945107,0.013895903,0.8712526,0.0004063126,0.000010744626,0.0000013583995,3.2541653e-8,0.0000028102606,0.11374465,0.00017434593],"about_ca_topic_score_codex":0.0000053686526,"about_ca_topic_score_gemma":0.0000036657061,"teacher_disagreement_score":0.5204207,"about_ca_system_score_codex":0.000018674176,"about_ca_system_score_gemma":0.00005286962,"threshold_uncertainty_score":0.98877305},"labels":[],"label_agreement":null},{"id":"W4398143702","doi":"10.1007/s00330-024-10788-3","title":"Validation of the standardization framework SSTR-RADS 1.0 for neuroendocrine tumors using the novel SSTR‑targeting peptide [18F]SiTATE","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Neuroendocrine Tumor Research Advances","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 Alberta","funders":"","keywords":"Medicine; Standardization; Neuroendocrine tumors; Neuroradiology; Interventional radiology; Radiology; Medical physics; Pathology; Computer science; Neurology","score_opus":0.03512145284014705,"score_gpt":0.33835859782508776,"score_spread":0.3032371449849407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398143702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390358,0.00085234345,0.05224083,0.004542223,0.0010489867,0.0011645226,0.00007890878,0.00014947295,0.00088695635],"genre_scores_gemma":[0.9942564,0.000075444754,0.004108333,0.00034298346,0.00062593305,0.000014308395,0.000030561467,0.0000981082,0.00044794625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99772906,0.00054967013,0.00050633756,0.00042587618,0.00031505874,0.00047397573],"domain_scores_gemma":[0.99846077,0.00064069056,0.00017206612,0.00047750966,0.00016720663,0.00008177297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005552388,0.0002077057,0.00031236178,0.00012974924,0.00021587739,0.00004807166,0.00033472004,0.000006580351,0.000029941182],"category_scores_gemma":[0.0026039646,0.00012525609,0.00018715605,0.0004683185,0.00031254886,0.000117802534,0.00018011323,0.00053437427,0.000009398751],"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":[0.0014156646,0.00025717943,0.017602537,0.0019302837,0.0005704686,0.0039189947,0.0013338065,0.04531479,0.890725,0.01875042,0.014300141,0.0038807155],"study_design_scores_gemma":[0.007879022,0.0051653082,0.04103036,0.004247918,0.0014289884,0.046500575,0.002267029,0.0701483,0.47277844,0.007098471,0.33985627,0.0015993519],"about_ca_topic_score_codex":0.0000074105665,"about_ca_topic_score_gemma":8.445971e-7,"teacher_disagreement_score":0.41794658,"about_ca_system_score_codex":0.00007526288,"about_ca_system_score_gemma":0.00013191142,"threshold_uncertainty_score":0.5107795},"labels":[],"label_agreement":null},{"id":"W4398766373","doi":"10.1007/s00330-024-10795-4","title":"PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","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":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Medicine; Image quality; Prostate; Neuroradiology; Prostate cancer; Medical physics; Interventional radiology; Radiology; Magnetic resonance imaging; Artificial intelligence; Computer science; Cancer; Image (mathematics); Neurology","score_opus":0.03002937826541785,"score_gpt":0.36135075870453787,"score_spread":0.33132138043912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398766373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885219,0.002135153,0.0047484664,0.0005189559,0.00045348422,0.0010828272,0.0008671867,0.000045489836,0.0016265471],"genre_scores_gemma":[0.99781215,0.00043666663,0.0014914473,0.000022379638,0.00007405288,0.000027312555,0.000084282736,0.000024563178,0.000027157168],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986355,0.0003472208,0.00048789236,0.00023650161,0.00014283833,0.00015006268],"domain_scores_gemma":[0.99902767,0.0002584376,0.00019384056,0.00033419442,0.00013405363,0.00005179228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133872,0.00010970558,0.0004300061,0.00006078796,0.000034143657,0.0000064985347,0.00009482969,0.000020202544,0.000016505457],"category_scores_gemma":[0.000035263125,0.000067900946,0.00013536053,0.00008792451,0.00015141981,0.000048513175,0.000045484987,0.00007710407,0.0000022234885],"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":[0.012304256,0.0024125464,0.2062224,0.039267715,0.007654825,0.00092719094,0.013254012,0.0016493647,0.5627101,0.054832797,0.015026652,0.08373815],"study_design_scores_gemma":[0.018297838,0.015665563,0.762688,0.0043366477,0.0020872743,0.00015095413,0.005083507,0.006296109,0.16150597,0.00015493925,0.023207787,0.0005254063],"about_ca_topic_score_codex":0.00002256676,"about_ca_topic_score_gemma":0.0000017907522,"teacher_disagreement_score":0.5564656,"about_ca_system_score_codex":0.00012596665,"about_ca_system_score_gemma":0.00013944828,"threshold_uncertainty_score":0.276892},"labels":[],"label_agreement":null},{"id":"W4399118302","doi":"10.1007/s00330-024-10807-3","title":"Risk of adjacent level fracture after percutaneous vertebroplasty and kyphoplasty vs natural history for the management of osteoporotic vertebral compression fractures: a network meta-analysis of randomized controlled trials","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Vertebral compression fracture; Percutaneous vertebroplasty; Randomized controlled trial; Meta-analysis; Interventional radiology; Compression (physics); Percutaneous; Osteoporosis; Radiology; Osteoporotic fracture; Neuroradiology; Surgery; Bone mineral; Neurology; Internal medicine","score_opus":0.04222065586150424,"score_gpt":0.3059650723871671,"score_spread":0.26374441652566283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399118302","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":[0.1417187,0.7790599,0.06314647,0.0014602161,0.0021518567,0.011030163,0.0004370445,0.00016387654,0.0008317865],"genre_scores_gemma":[0.9907467,0.0055461386,0.0023987116,0.00031709383,0.000120583725,0.00011172279,0.000054653057,0.000031554533,0.0006728547],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99552315,0.0020153564,0.0016416572,0.00033978856,0.00026701804,0.00021301628],"domain_scores_gemma":[0.9921947,0.0060950997,0.0010858444,0.0003859217,0.00017324691,0.00006517589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049459953,0.00028560273,0.005459127,0.00024460105,0.000058743957,0.000010592726,0.00014051744,0.00011084361,0.000382292],"category_scores_gemma":[0.0009914801,0.0001294114,0.0032812532,0.00014493764,0.00033168876,0.000029674324,0.000060652455,0.00030927648,8.287698e-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":[0.43440324,0.000124462,0.00020446791,0.0006862263,0.5396186,0.00018552887,0.00090714946,0.0020633726,0.00071046635,0.00081695453,0.016041325,0.0042382255],"study_design_scores_gemma":[0.0837487,0.0012520867,0.018897783,0.0002481696,0.8339203,0.0001714694,0.00015309599,0.027611936,0.00027526796,0.00031061054,0.033087716,0.00032287554],"about_ca_topic_score_codex":0.000026089914,"about_ca_topic_score_gemma":0.000008060414,"teacher_disagreement_score":0.849028,"about_ca_system_score_codex":0.000054464304,"about_ca_system_score_gemma":0.000037914273,"threshold_uncertainty_score":0.5277244},"labels":[],"label_agreement":null},{"id":"W4400317157","doi":"10.1007/s00330-024-10863-9","title":"Is MRI ready to replace biopsy during active surveillance?","year":2024,"lang":"en","type":"review","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Prostate cancer; Neuroradiology; Radiology; Context (archaeology); Biopsy; Multiparametric MRI; Prostate; Risk stratification; Medical physics; Cancer; Internal medicine","score_opus":0.05166981602796436,"score_gpt":0.3565099688399525,"score_spread":0.3048401528119882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400317157","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":[0.00028001843,0.9780144,0.000002480285,0.0007040804,0.00097276585,0.0011831406,0.0005087611,0.00017631405,0.018158006],"genre_scores_gemma":[0.0000900806,0.99024594,0.000112787835,0.00039226832,0.0010010528,0.0001378607,0.00042124154,0.00019051362,0.0074082417],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727595,0.0004874963,0.00057102315,0.0010771874,0.00012113279,0.00046720303],"domain_scores_gemma":[0.99851537,0.00011607969,0.00018686679,0.0008518958,0.0000534752,0.00027629637],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030184054,0.0005468096,0.001986111,0.00027592218,0.000058775477,0.000024988796,0.00019753445,0.00014416542,0.00019322101],"category_scores_gemma":[0.000074290685,0.0003784691,0.00043451862,0.0003432284,0.000068799774,0.000020159701,0.00019865249,0.0005065833,0.0054687113],"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":[0.00020527035,0.0001562243,0.00020747299,0.019444533,0.003266872,0.014197021,0.0007451279,5.395756e-7,0.000008638007,0.00012352537,0.18232597,0.7793188],"study_design_scores_gemma":[0.00039795067,0.00043762074,0.0008247704,0.0067955577,0.0010418829,0.0036913187,0.000011255446,1.7013262e-7,0.0000075931916,0.000003129451,0.9864745,0.00031424363],"about_ca_topic_score_codex":0.000013256457,"about_ca_topic_score_gemma":0.0000020642708,"teacher_disagreement_score":0.80414855,"about_ca_system_score_codex":0.00058852497,"about_ca_system_score_gemma":0.0001778936,"threshold_uncertainty_score":0.9998667},"labels":[],"label_agreement":null},{"id":"W4400589155","doi":"10.1007/s00330-024-10902-5","title":"ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","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":"Artificial Intelligence in Medicine (Canada)","funders":"Guerbet","keywords":"Medicine; Neuroradiology; Interventional radiology; Diagnostic accuracy; Radiology; Medical diagnosis; Neurology","score_opus":0.043257675523054415,"score_gpt":0.3517228958222935,"score_spread":0.30846522029923906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400589155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98747313,0.00042691015,0.0010382297,0.0032694591,0.002043163,0.0009969721,0.000011836953,0.00024298597,0.004497302],"genre_scores_gemma":[0.99452496,0.0005112663,0.00018578267,0.0030319816,0.0010733008,0.00013143208,0.00040380342,0.000045475244,0.00009200733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969548,0.00058949203,0.0009571735,0.000537007,0.00021687215,0.00074467954],"domain_scores_gemma":[0.9961844,0.0028989767,0.00010462366,0.00040955504,0.000109915556,0.0002925226],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012012965,0.00034728003,0.0005508016,0.00081429124,0.00015071614,0.000042754382,0.00025189776,0.00018020984,0.00019091094],"category_scores_gemma":[0.0035264879,0.00030541702,0.00011276697,0.00063855125,0.0002581505,0.0002841925,0.000054278466,0.00073296414,0.003549671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020780263,0.0005492472,0.5045852,0.0017196478,0.00009077155,0.0006629693,0.010159247,0.07816339,0.00031677395,0.0007095161,0.01949935,0.38146588],"study_design_scores_gemma":[0.00048452083,0.0072281244,0.7681444,0.0009634658,0.00006218905,0.00064319756,0.00071774895,0.18137234,0.00040726678,0.000014244317,0.03939534,0.0005671265],"about_ca_topic_score_codex":0.000089542395,"about_ca_topic_score_gemma":0.000014088716,"teacher_disagreement_score":0.38089874,"about_ca_system_score_codex":0.00039851462,"about_ca_system_score_gemma":0.00030291342,"threshold_uncertainty_score":0.9999398},"labels":[],"label_agreement":null},{"id":"W4401016356","doi":"10.1007/s00330-024-10979-y","title":"Sigmoid volvulus—Can CT features predict outcomes and recurrence?","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Intestinal Malrotation and Obstruction Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Sigmoid volvulus; Radiology; Sigmoid function; Sigmoid colon; Ultrasound; Surgery; Artificial intelligence; Neurology; Rectum","score_opus":0.01226035259020062,"score_gpt":0.2648732658015624,"score_spread":0.25261291321136176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401016356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90033185,0.004104073,0.00024869927,0.0091433935,0.0017624754,0.00030285193,0.000017919467,0.0004833464,0.08360537],"genre_scores_gemma":[0.99045414,0.00014021444,0.00046672497,0.0014406283,0.00020705796,0.0000042507627,0.00002903325,0.000026364702,0.0072315675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917626,0.00014588349,0.0001713717,0.00026699767,0.00007643339,0.00016304391],"domain_scores_gemma":[0.99959254,0.0001188477,0.000026001173,0.00013070155,0.00003328926,0.00009864135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018131633,0.0001228682,0.00017856105,0.00012940167,0.000053521733,0.00002685182,0.00005571369,0.000020007961,0.00023189078],"category_scores_gemma":[0.0003708211,0.00009227628,0.000057627833,0.00011437095,0.00017091511,0.00003309886,0.000027195949,0.0002605314,0.00014595443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029023841,0.00010949132,0.38284746,0.00054509233,0.00045816158,0.0040364848,0.0031855355,0.000031502776,0.002208967,0.032822207,0.21683441,0.35663044],"study_design_scores_gemma":[0.0006584761,0.00041477263,0.8642653,0.000096985175,0.00006492115,0.0045453077,0.00025362024,0.00023161038,0.000059500733,0.0003839351,0.12887856,0.00014698529],"about_ca_topic_score_codex":0.000006890026,"about_ca_topic_score_gemma":0.000003707791,"teacher_disagreement_score":0.48141786,"about_ca_system_score_codex":0.000017868462,"about_ca_system_score_gemma":0.00003208046,"threshold_uncertainty_score":0.37629172},"labels":[],"label_agreement":null},{"id":"W4401075691","doi":"10.1007/s00330-024-10983-2","title":"Baseline surveillance in Li Fraumeni syndrome using whole-body MRI: a systematic review and updated meta-analysis","year":2024,"lang":"en","type":"review","venue":"European Radiology","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Medicine; Asymptomatic; Meta-analysis; Interventional radiology; Confidence interval; Neuroradiology; Magnetic resonance imaging; Stage (stratigraphy); Cancer; Radiology; Internal medicine; Neurology","score_opus":0.07827854565277306,"score_gpt":0.34629142810830066,"score_spread":0.26801288245552757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401075691","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":[0.0000060652897,0.9948868,0.00045094534,0.0002518746,0.0001847064,0.003436434,0.00031181177,0.00013399881,0.000337319],"genre_scores_gemma":[0.00009983145,0.9960696,0.0002724159,0.0006569604,0.00007543826,0.00012270313,0.0013201714,0.00024427453,0.0011385888],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9880273,0.0071746097,0.0026005476,0.0013860348,0.0002734741,0.0005380312],"domain_scores_gemma":[0.9968903,0.00028081774,0.0008857142,0.0015994895,0.00010392158,0.00023976194],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0046219905,0.00095437246,0.015642397,0.0013012496,0.00004312161,0.000039758226,0.00037010486,0.00031867175,0.00030135803],"category_scores_gemma":[0.00060021126,0.0006515866,0.0028071005,0.003079168,0.00014455404,0.000036585447,0.00025072167,0.0013034714,0.00056329835],"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":[0.0000050506865,0.000040513372,0.0000012716434,0.8349856,0.15334402,0.009359638,0.000020706206,0.000016379616,0.0000036746226,0.00001581234,0.0018121725,0.00039514902],"study_design_scores_gemma":[0.00023222163,0.00010567805,0.0000026712462,0.08714173,0.73421603,0.013741466,0.000002498651,0.00024533158,4.7957638e-8,0.0000011610689,0.1638419,0.00046926434],"about_ca_topic_score_codex":0.000025199763,"about_ca_topic_score_gemma":0.000016992744,"teacher_disagreement_score":0.74784386,"about_ca_system_score_codex":0.00032022301,"about_ca_system_score_gemma":0.00024116776,"threshold_uncertainty_score":0.99959356},"labels":[],"label_agreement":null},{"id":"W4401820837","doi":"10.1007/s00330-024-11030-w","title":"Ligamentum teres lesions are associated with compositional and structural hip cartilage degenerative change: region-specific cartilage degeneration","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Musculoskeletal synovial abnormalities and treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Degeneration (medical); Medicine; Cartilage; Neuroradiology; Anatomy; Interventional radiology; Pathology; Radiology; Neurology","score_opus":0.04054369880812734,"score_gpt":0.26113036870008455,"score_spread":0.22058666989195722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401820837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927585,0.0037031292,0.00010021724,0.0015408653,0.00026555965,0.00036118823,0.000084712636,0.00011791295,0.0010678736],"genre_scores_gemma":[0.99721104,0.00013917423,0.00010901212,0.00043128393,0.0006375748,0.000026587597,0.0006259726,0.000038242535,0.0007811074],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998747,0.00030856478,0.00020559489,0.00036033845,0.0001278047,0.0002506789],"domain_scores_gemma":[0.999545,0.00005381004,0.00006591276,0.00014242658,0.000057371457,0.0001355278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093953575,0.00020728086,0.0002687384,0.00009067472,0.00020602366,0.000055880217,0.00004464988,0.000055383658,0.00006781879],"category_scores_gemma":[0.000011280601,0.00014535173,0.00006593422,0.000114166935,0.00017493816,0.0001106721,0.00004056843,0.00015575466,0.000022759918],"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":[0.0026918368,0.00091004797,0.2762255,0.001040626,0.0027088423,0.044722702,0.024763227,0.0002078022,0.4557681,0.05845338,0.090839826,0.041668095],"study_design_scores_gemma":[0.0047049187,0.0036327308,0.94441956,0.0012436461,0.0006284043,0.0059025725,0.0008526572,0.00063377473,0.021428203,0.00029458877,0.015300101,0.0009588482],"about_ca_topic_score_codex":0.0000119275865,"about_ca_topic_score_gemma":0.000045756722,"teacher_disagreement_score":0.66819406,"about_ca_system_score_codex":0.00010713975,"about_ca_system_score_gemma":0.000022469094,"threshold_uncertainty_score":0.5927271},"labels":[],"label_agreement":null},{"id":"W4401842283","doi":"10.1007/s00330-024-11017-7","title":"Survey of CT radiation doses and iodinated contrast medium administration: an international multicentric study","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Nuclear medicine; Radiology; Neuroradiology; Iodinated contrast; Interventional radiology; Computed tomography; Bolus (digestion); Pulmonary embolism; Ultrasound; Surgery","score_opus":0.030477866242891796,"score_gpt":0.32845546082907096,"score_spread":0.2979775945861792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401842283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953752,0.0009517071,0.00012516278,0.00054256903,0.0006852145,0.0002632256,0.000028521674,0.000069678266,0.0019586897],"genre_scores_gemma":[0.9989354,0.000177618,0.000032852186,0.0001287975,0.0002733802,0.0000026371827,0.00028421587,0.00001795415,0.00014712973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864024,0.0005536567,0.00031583282,0.00025397117,0.000115677554,0.00012060882],"domain_scores_gemma":[0.99942744,0.00019740395,0.000070842274,0.00013820348,0.000080229394,0.000085865184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000880046,0.000095805044,0.00019038389,0.0002000095,0.000035429017,0.000039373706,0.0000822193,0.000015398999,0.000117310185],"category_scores_gemma":[0.00044252464,0.00008364875,0.000021398546,0.00018042664,0.00007188202,0.00018303284,0.000019936708,0.00011935537,0.00002661848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026365145,0.0003905488,0.9314604,0.000036942267,0.00032657298,0.00063029473,0.001466649,0.000026935619,0.0021012505,0.00016772041,0.0012573631,0.061871707],"study_design_scores_gemma":[0.0013727616,0.00063836086,0.9894258,0.000016530184,0.00005962093,0.00031560383,0.0001703667,0.005586622,0.00032328468,0.0000017289148,0.0020186284,0.00007069071],"about_ca_topic_score_codex":0.000044746652,"about_ca_topic_score_gemma":0.00001556831,"teacher_disagreement_score":0.061801016,"about_ca_system_score_codex":0.000028139611,"about_ca_system_score_gemma":0.000081238155,"threshold_uncertainty_score":0.34110972},"labels":[],"label_agreement":null},{"id":"W4402063283","doi":"10.1007/s00330-024-11028-4","title":"Can deep learning classify cerebral ultrasound images for the detection of brain injury in very preterm infants?","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capital District Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"IWK Health Centre; RSNA Research and Education Foundation","keywords":"Medicine; Neuroradiology; Ultrasound; Interventional radiology; Radiology; Neurology; Psychiatry","score_opus":0.011005097151060858,"score_gpt":0.2569587686588288,"score_spread":0.24595367150776792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402063283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865561,0.0032245743,0.0030938636,0.0018282923,0.00082020904,0.0004885891,0.00002994754,0.00010774624,0.0038506503],"genre_scores_gemma":[0.99785215,0.0001138135,0.00012072652,0.0005154683,0.00031956707,0.000015671805,0.000026243457,0.0000358192,0.001000563],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879086,0.00036544193,0.0002703382,0.000276414,0.000055794855,0.00024113999],"domain_scores_gemma":[0.99869424,0.0010176038,0.00005561294,0.00016948664,0.000022472494,0.000040558065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006105901,0.00012437154,0.00024086513,0.00014751717,0.000055453063,0.00001038052,0.0001091484,0.000071278475,0.000028514369],"category_scores_gemma":[0.0007507381,0.00008643741,0.0001004459,0.0001538561,0.0002689592,0.000043263506,0.000046367055,0.00043937736,0.00001902926],"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":[0.00094265264,0.00003294774,0.016203389,0.00028728895,0.00013153833,0.00036783368,0.0021810862,0.000040875348,0.7475883,0.0005018211,0.0007864159,0.23093589],"study_design_scores_gemma":[0.0023345614,0.0037268733,0.89926404,0.00021938188,0.00015807319,0.0047499873,0.0006380241,0.0018937082,0.02292247,0.00086121896,0.06285511,0.00037657563],"about_ca_topic_score_codex":0.00001844754,"about_ca_topic_score_gemma":0.000022070777,"teacher_disagreement_score":0.88306063,"about_ca_system_score_codex":0.0000364205,"about_ca_system_score_gemma":0.000026962542,"threshold_uncertainty_score":0.3524815},"labels":[],"label_agreement":null},{"id":"W4402825920","doi":"10.1007/s00330-024-11089-5","title":"Quantitative MRI distinguishes different leukodystrophies and correlates with clinical measures","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Hersenstichting; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University College London Hospitals NHS Foundation Trust; ZonMw; National Institute for Health and Care Research","keywords":"White matter; Diffusion MRI; Neuroradiology; Medicine; Relaxometry; Fractional anisotropy; Neurology; Nuclear medicine; Magnetic resonance imaging; Multiple sclerosis; Nuclear magnetic resonance; Pathology; Radiology; Spin echo","score_opus":0.023550536753417246,"score_gpt":0.28883797571057196,"score_spread":0.26528743895715473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402825920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859133,0.0058636693,0.0032000274,0.00028454178,0.0002824083,0.00008077953,0.000013334811,0.000046054927,0.004315895],"genre_scores_gemma":[0.99716604,0.00047813533,0.00035012414,0.00014457248,0.00030006125,0.0000030152112,0.00005912395,0.000026511649,0.0014724472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989025,0.000358695,0.00018685656,0.00035980513,0.00005273607,0.00013941564],"domain_scores_gemma":[0.9996051,0.000064166205,0.000037859456,0.00015734584,0.00003435235,0.000101166144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019581823,0.00013437348,0.00014681752,0.000032822365,0.000058559886,0.000041509073,0.00008006182,0.000047663863,0.000013580207],"category_scores_gemma":[0.00015980931,0.000090709116,0.00005681243,0.00003673899,0.00036149836,0.0000027357344,0.000058248203,0.000093725444,0.000023859475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028956295,0.00028404285,0.7719075,0.00022956062,0.0013858894,0.0011299984,0.00068385823,0.00041721037,0.08942786,0.032701448,0.07249559,0.026441414],"study_design_scores_gemma":[0.0012976088,0.002741336,0.84882617,0.00009169581,0.00013315893,0.00043319238,0.00025416666,0.0013609611,0.00077067956,0.00032648336,0.1432283,0.00053625694],"about_ca_topic_score_codex":0.0000012362258,"about_ca_topic_score_gemma":0.0000075749012,"teacher_disagreement_score":0.08865718,"about_ca_system_score_codex":0.000003928193,"about_ca_system_score_gemma":0.000023579638,"threshold_uncertainty_score":0.36990103},"labels":[],"label_agreement":null},{"id":"W4403470240","doi":"10.1007/s00330-024-11082-y","title":"Deep learning radiomic nomogram outperforms the clinical model in distinguishing intracranial solitary fibrous tumors from angiomatous meningiomas and can predict patient prognosis","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Soft tissue tumor case studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Science and Technology Program of Gansu Province; China International Medical Foundation; National Natural Science Foundation of China","keywords":"Medicine; Neuroradiology; Nomogram; Radiology; Interventional radiology; Solitary fibrous tumor; Radiomics; Meningioma; Neurology; Internal medicine","score_opus":0.02029250460803917,"score_gpt":0.27712341223878556,"score_spread":0.2568309076307464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403470240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986783,0.009657278,0.00027288077,0.0008079176,0.0005457154,0.00057671964,0.00002031749,0.00037568048,0.0009604681],"genre_scores_gemma":[0.9966536,0.00019935159,0.0016954577,0.00018068965,0.001019161,0.000034417502,0.00007328473,0.00010155597,0.000042486285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708116,0.00067356776,0.0008182654,0.00070150034,0.00018601821,0.0005394699],"domain_scores_gemma":[0.99855286,0.00084019324,0.00011588978,0.0002763204,0.000036352452,0.00017839757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009701746,0.00031793478,0.00065213954,0.000164782,0.00020135228,0.000057030324,0.00017090804,0.00008164039,0.000009276591],"category_scores_gemma":[0.0012504115,0.00021953257,0.00016294098,0.00022210613,0.00049949443,0.000062188614,0.00025866574,0.0009235525,0.000021863716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056398334,0.00018495951,0.7606587,0.00019543812,0.0007282247,0.03119963,0.03001469,0.001997024,0.00038782836,0.00009898634,0.001362801,0.17260778],"study_design_scores_gemma":[0.0023096378,0.0023767292,0.5502684,0.0007645239,0.0004972919,0.007918128,0.0028307743,0.43085873,0.000026587713,0.00026444177,0.001314851,0.00056991325],"about_ca_topic_score_codex":0.00024358532,"about_ca_topic_score_gemma":0.000064590764,"teacher_disagreement_score":0.4288617,"about_ca_system_score_codex":0.00011379201,"about_ca_system_score_gemma":0.00007131287,"threshold_uncertainty_score":0.8952278},"labels":[],"label_agreement":null},{"id":"W4403842670","doi":"10.1007/s00330-024-11101-y","title":"CT features in sigmoid volvulus: validating predictors of outcomes and recurrence","year":2024,"lang":"en","type":"letter","venue":"European Radiology","topic":"Intestinal Malrotation and Obstruction Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Interventional radiology; Sigmoid volvulus; Neuroradiology; Sigmoid function; Radiology; Ultrasound; General surgery; Sigmoid colon; Surgery; Artificial intelligence; Neurology","score_opus":0.015592343534416422,"score_gpt":0.26770709544404125,"score_spread":0.25211475190962485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403842670","genre_codex":"empirical","genre_gemma":"commentary","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":[0.4816367,0.0058918367,0.000044267574,0.44044095,0.0050914777,0.0010981298,0.00009906347,0.00031671967,0.06538084],"genre_scores_gemma":[0.4025932,0.0006140102,0.0021333175,0.5615543,0.0043154443,0.00003678978,0.0009049446,0.00032763838,0.027520351],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984826,0.00035813914,0.0004401376,0.0003770681,0.00013086008,0.00021123349],"domain_scores_gemma":[0.99927795,0.0002670157,0.00016527883,0.00019808872,0.00005357437,0.00003809006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027107284,0.00022236057,0.00048704247,0.00035045863,0.000020486083,0.000011899175,0.00010681816,0.00010611825,0.0000906302],"category_scores_gemma":[0.00085414393,0.00017986007,0.00008843088,0.00015572306,0.00022475995,0.000024917572,0.00005838499,0.0013813019,0.00004459197],"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":[0.00003394979,0.000015008863,0.10568663,0.0008356926,0.000111141715,0.0020734249,0.000659057,0.000007347831,0.00009651268,0.00010806324,0.88686347,0.0035097105],"study_design_scores_gemma":[0.0011650439,0.00051855366,0.39213443,0.0010585695,0.0001985933,0.0027991326,0.00028565814,0.00004271497,0.00006248891,0.00019214515,0.6011742,0.0003685019],"about_ca_topic_score_codex":0.000021030903,"about_ca_topic_score_gemma":0.00000351905,"teacher_disagreement_score":0.2864478,"about_ca_system_score_codex":0.000030012667,"about_ca_system_score_gemma":0.00004405324,"threshold_uncertainty_score":0.7334481},"labels":[],"label_agreement":null},{"id":"W4404394248","doi":"10.1007/s00330-024-11178-5","title":"Positive MRI and ISUP GG1 on initial prostate biopsy? Reassessing baseline MRI is key","year":2024,"lang":"en","type":"letter","venue":"European Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; University Health Network; University of Toronto; Women's College Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Magnetic resonance imaging; Prostate biopsy; Biopsy; Ultrasound; Prostate; Internal medicine; Nuclear medicine; Neurology","score_opus":0.020977802621088146,"score_gpt":0.29308786384058894,"score_spread":0.27211006121950077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404394248","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":[0.011256097,0.007584575,0.00007012744,0.9436082,0.0018236871,0.0012024449,0.0017383174,0.00023872803,0.032477774],"genre_scores_gemma":[0.014406994,0.005764102,0.00092210044,0.9555386,0.010839311,0.000081231745,0.004466263,0.00038185704,0.0075995857],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99676776,0.00070757663,0.00050972094,0.0011909975,0.00022495663,0.0005990161],"domain_scores_gemma":[0.99868876,0.00031398507,0.00019093585,0.00052748114,0.00010626815,0.00017258024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038155328,0.0006179846,0.00087241165,0.00031383516,0.000113603644,0.000091251415,0.0001239308,0.0003238786,0.00020022746],"category_scores_gemma":[0.000057301197,0.00047624356,0.00018899959,0.00015143199,0.00031346243,0.000052561616,0.0001365203,0.0016860535,0.00070669915],"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":[0.00025738406,0.0000778261,0.00047959172,0.00032305406,0.0005818244,0.047494777,0.00065750355,9.0033797e-7,0.0000719261,0.000039320654,0.9433104,0.0067055253],"study_design_scores_gemma":[0.0019681926,0.0023330476,0.0033849159,0.0018550224,0.00081571186,0.004007716,0.000027975268,0.000046005018,0.00042633482,0.00010091272,0.9845237,0.00051046204],"about_ca_topic_score_codex":0.000033160457,"about_ca_topic_score_gemma":9.330774e-7,"teacher_disagreement_score":0.04348706,"about_ca_system_score_codex":0.00025363907,"about_ca_system_score_gemma":0.00016729599,"threshold_uncertainty_score":0.9997689},"labels":[],"label_agreement":null},{"id":"W4405594602","doi":"10.1007/s00330-024-11284-4","title":"Carotid artery intima-media thickness values in obese or overweight children: a meta-analysis","year":2024,"lang":"en","type":"review","venue":"European Radiology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Overweight; Intima-media thickness; Obesity; Meta-analysis; Confidence interval; Childhood obesity; Internal medicine; Body mass index; Cochrane Library; Common carotid artery; Tunica media; Cardiology; Carotid arteries","score_opus":0.08261528203505544,"score_gpt":0.3576490926790049,"score_spread":0.2750338106439495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405594602","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":[0.00011479841,0.9952241,0.00010964393,0.000075193006,0.00055336545,0.0014432947,0.00020405519,0.00014049558,0.0021350058],"genre_scores_gemma":[0.00029697767,0.9942132,0.00018867168,0.00039163354,0.001215108,0.00015247054,0.0021264793,0.00014525796,0.0012701895],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9923148,0.004164639,0.0013905652,0.0011905999,0.00036282442,0.0005765489],"domain_scores_gemma":[0.99762726,0.00028363182,0.00029464473,0.0013157291,0.00006300906,0.00041571195],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022585501,0.00071193615,0.0071812468,0.0015616076,0.0000503363,0.00003863266,0.00031219088,0.000318383,0.0008394578],"category_scores_gemma":[0.0004406267,0.00043303875,0.009762739,0.0016711443,0.00013936753,0.000053189466,0.00020566497,0.0011473487,0.0013780611],"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":[0.00024062452,0.00045400666,0.00027740528,0.041157484,0.7373832,0.010454674,0.0005426978,0.000013620694,3.3488004e-7,0.00015746696,0.015343879,0.19397463],"study_design_scores_gemma":[0.00054385123,0.000062625855,0.002877898,0.0009941374,0.7041774,0.0033766516,0.0000092672035,0.0000052248674,3.398018e-8,0.000026135755,0.28754425,0.00038252788],"about_ca_topic_score_codex":0.000030582774,"about_ca_topic_score_gemma":0.00003402021,"teacher_disagreement_score":0.27220038,"about_ca_system_score_codex":0.00018474483,"about_ca_system_score_gemma":0.00057937653,"threshold_uncertainty_score":0.9998121},"labels":[],"label_agreement":null},{"id":"W4405632865","doi":"10.1007/s00330-024-11307-0","title":"Incidental pancreatic cystic lesions: retrospective analysis of natural history and efficacy of imaging surveillance guidelines","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Natural history; Neuroradiology; Interventional radiology; Radiology; Retrospective cohort study; Ultrasound; Magnetic resonance imaging; General surgery; Medical physics; Pathology; Internal medicine; Neurology","score_opus":0.03124573314937111,"score_gpt":0.3417461457896112,"score_spread":0.3105004126402401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405632865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95796496,0.03700066,0.00031041514,0.00022943925,0.00019932703,0.00015279924,0.000014435129,0.00003858096,0.004089364],"genre_scores_gemma":[0.9970346,0.0009217079,0.0009261443,0.00008816956,0.0001167268,0.0000023192335,0.00003971489,0.000018406448,0.00085221016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983726,0.00048828014,0.0005020448,0.00030171758,0.0001520568,0.00018330326],"domain_scores_gemma":[0.99858886,0.0007999351,0.000107404885,0.00024821432,0.00018325867,0.0000723547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010736869,0.00011973055,0.000830327,0.0004931586,0.000024899982,0.000002953485,0.00009313939,0.00003338821,0.00014193864],"category_scores_gemma":[0.0019566086,0.000092867806,0.00014026847,0.00037746932,0.00055429,0.000030278927,0.00007533891,0.00021294419,0.000011231535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019517749,0.000046123107,0.9773802,0.00013752068,0.0016467468,0.00046611764,0.00061986037,0.000005503373,0.013039762,0.00051080296,0.0032248613,0.002727299],"study_design_scores_gemma":[0.000650947,0.00021396512,0.9851382,0.000122465,0.0012925544,0.00030622547,0.000092708055,0.011378,0.000026749174,0.000022536175,0.00068269833,0.00007295818],"about_ca_topic_score_codex":0.00008553121,"about_ca_topic_score_gemma":0.000013508154,"teacher_disagreement_score":0.039069623,"about_ca_system_score_codex":0.00020512746,"about_ca_system_score_gemma":0.00014102769,"threshold_uncertainty_score":0.37870392},"labels":[],"label_agreement":null},{"id":"W4405891085","doi":"10.1007/s00330-024-11257-7","title":"Separating dementia with Lewy bodies from Alzheimer’s disease dementia using a volumetric MRI classifier","year":2024,"lang":"en","type":"article","venue":"European Radiology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"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 Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; BioClinica; Biogen; Pfizer; Alzheimer Nederland; ZonMw; Amsterdam Neuroscience; Stichting Dioraphte; Eisai; Northern California Institute for Research and Education; Health~Holland; Novartis Pharmaceuticals Corporation; University of Southern California; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Dementia with Lewy bodies; Medicine; Dementia; Neuroradiology; Disease; Interventional radiology; Radiology; Pathology; Neurology; Psychiatry","score_opus":0.04829445069939898,"score_gpt":0.3243927895529102,"score_spread":0.2760983388535112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405891085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92277616,0.038437694,0.0114742145,0.0006387157,0.00043538437,0.00063988514,0.000046855468,0.00026123217,0.025289834],"genre_scores_gemma":[0.9944007,0.0002053116,0.0028943946,0.00050502655,0.0005864426,0.000018583829,0.00016995356,0.00008221069,0.0011373728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974946,0.00053103216,0.00035500072,0.0006806418,0.00034746595,0.00059128855],"domain_scores_gemma":[0.9990361,0.00013469375,0.00006731374,0.00032227123,0.00010599482,0.0003336576],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049643195,0.00027474386,0.00032796,0.00039083196,0.00019305803,0.00013219107,0.00016022092,0.000041268908,0.0012455354],"category_scores_gemma":[0.00007236195,0.00021339192,0.00013349045,0.00038563792,0.0002439517,0.00016130555,0.00016172304,0.0003519413,0.00057960604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007881158,0.00026839343,0.93148977,0.00013928018,0.0070286705,0.007936987,0.0005049229,0.00005289439,0.008434846,0.00023684745,0.020681618,0.022437641],"study_design_scores_gemma":[0.0023461292,0.0010352888,0.90306526,0.00040531388,0.006049041,0.00027839135,0.0002728627,0.015704472,0.00052070565,0.00009395227,0.069734186,0.00049440446],"about_ca_topic_score_codex":0.000042654465,"about_ca_topic_score_gemma":0.000008253231,"teacher_disagreement_score":0.07162452,"about_ca_system_score_codex":0.000049645667,"about_ca_system_score_gemma":0.00020176749,"threshold_uncertainty_score":0.99966747},"labels":[],"label_agreement":null},{"id":"W4406002105","doi":"10.1007/s00330-024-11281-7","title":"Reply to Letter to the Editor: “Comparative analysis of GPT-4 based ChatGPT’s diagnostic performance with radiologists using real-world radiology reports of brain tumors”","year":2025,"lang":"en","type":"letter","venue":"European Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Medical physics; Ultrasound; General surgery; Neurology; Psychiatry","score_opus":0.08716996453427181,"score_gpt":0.37412418159377003,"score_spread":0.2869542170594982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406002105","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":[0.37512508,0.00023484789,0.002326846,0.61222273,0.0053329766,0.0020290823,0.00007190454,0.0000724033,0.0025841047],"genre_scores_gemma":[0.4234964,0.000040555442,0.0011409667,0.55608314,0.01739789,0.00007383612,0.0005636308,0.000049923005,0.0011536961],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943085,0.0019709852,0.001742164,0.0010080884,0.00031754424,0.0006527674],"domain_scores_gemma":[0.99270093,0.0038841893,0.0010934339,0.0016297918,0.00053956243,0.00015210488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019376529,0.0004702021,0.0019981281,0.0016579502,0.00014159986,0.000011206995,0.0004457102,0.0002749353,0.00009281422],"category_scores_gemma":[0.0019939898,0.00032514147,0.00029167443,0.0020093522,0.0005278013,0.00003900205,0.00009466919,0.0013110047,0.000021871214],"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":[0.00033263076,0.000042647633,0.033327736,0.0002402921,0.00074788945,0.000551052,0.002621651,0.011488746,0.00020517415,0.0000050954004,0.94996184,0.00047523357],"study_design_scores_gemma":[0.0001214241,0.0024505826,0.06004144,0.0010250323,0.002206886,0.00039640034,0.000230778,0.0017763716,0.0017726667,0.0000066130187,0.9294369,0.00053486275],"about_ca_topic_score_codex":0.0019770968,"about_ca_topic_score_gemma":0.0001778473,"teacher_disagreement_score":0.05613964,"about_ca_system_score_codex":0.00030831495,"about_ca_system_score_gemma":0.00065077416,"threshold_uncertainty_score":0.99992007},"labels":[],"label_agreement":null},{"id":"W4406002807","doi":"10.1007/s00330-024-11325-y","title":"Optimizing breast MRI diagnosis: the Kaiser Score’s impact on reducing unnecessary biopsies","year":2025,"lang":"en","type":"letter","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Breast MRI; Radiology; Breast ultrasound; Ultrasound; Magnetic resonance imaging; Neurology; Medical physics; Breast cancer; Mammography; Internal medicine; Cancer; Psychiatry","score_opus":0.023850650595276524,"score_gpt":0.28679006381550814,"score_spread":0.2629394132202316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406002807","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":[0.005689958,0.0063525666,0.000031887765,0.9396583,0.0030822882,0.0010451764,0.00028476137,0.0003300742,0.043524995],"genre_scores_gemma":[0.021230934,0.010613807,0.00046136283,0.9393496,0.021458168,0.00031252258,0.0007679536,0.00038157785,0.0054240697],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99482894,0.0016792127,0.00076227204,0.0012830575,0.00039946858,0.0010470345],"domain_scores_gemma":[0.99528885,0.0020377566,0.00043005907,0.0019477274,0.00014171573,0.00015386812],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088834646,0.00089483813,0.0013016738,0.00057936145,0.0002790025,0.00009342605,0.0010355534,0.0005896767,0.0010078523],"category_scores_gemma":[0.00022091556,0.00056545506,0.00065093534,0.00047890842,0.0005559559,0.000073423034,0.00034050766,0.0040503168,0.0004976786],"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":[0.00016704215,0.00006087519,0.0057881577,0.00035519974,0.0008046149,0.0035693718,0.00034118321,0.00092689774,0.000017593127,0.000011940547,0.9847766,0.003180506],"study_design_scores_gemma":[0.0011159155,0.0006974395,0.029691683,0.0043644565,0.0008807763,0.0026141324,0.000045870067,0.000059495494,0.00012012746,0.00001713859,0.959715,0.00067794253],"about_ca_topic_score_codex":0.00017622091,"about_ca_topic_score_gemma":0.0000029928326,"teacher_disagreement_score":0.038100928,"about_ca_system_score_codex":0.00056641723,"about_ca_system_score_gemma":0.00036384436,"threshold_uncertainty_score":0.99990535},"labels":[],"label_agreement":null},{"id":"W4407397978","doi":"10.1007/s00330-025-11422-6","title":"A multicenter diagnostic study of thyroid nodule with Hashimoto’s thyroiditis enabled by Hashimoto’s thyroiditis nodule-artificial intelligence model","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Medicine; Thyroiditis; Nodule (geology); Neuroradiology; Thyroid; Radiology; Hashimoto's disease; Multicenter study; Pathology; Interventional radiology; Internal medicine; Neurology","score_opus":0.016305486866599297,"score_gpt":0.2645731761784501,"score_spread":0.2482676893118508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407397978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776567,0.0035823272,0.0066072773,0.0018102109,0.00046409958,0.0027333947,0.00019619016,0.00020224482,0.0067475582],"genre_scores_gemma":[0.99543107,0.0009575753,0.00085443223,0.00096948945,0.00020861522,0.00031642162,0.00014430152,0.00011701454,0.0010010698],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99585974,0.0006636722,0.0010920138,0.0011863288,0.00040310257,0.0007951593],"domain_scores_gemma":[0.99718904,0.00073505146,0.00036229292,0.0011704213,0.00026742232,0.0002757612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004861823,0.0006280165,0.0011787693,0.0003306793,0.00023321761,0.00005346322,0.0005042469,0.00013034618,0.00013305472],"category_scores_gemma":[0.00044273044,0.0005018186,0.0002097142,0.00050832605,0.00040243778,0.00013998046,0.00022653349,0.000515439,0.0001428809],"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":[0.013674489,0.0803016,0.2909868,0.0011270518,0.010766986,0.010603597,0.024299318,0.024074627,0.07433602,0.010905277,0.38429418,0.07463003],"study_design_scores_gemma":[0.08244047,0.09996176,0.5745025,0.0039321086,0.011931926,0.0015871212,0.019574717,0.03778463,0.13227911,0.0022293776,0.02691237,0.0068638986],"about_ca_topic_score_codex":0.00030769734,"about_ca_topic_score_gemma":0.000309595,"teacher_disagreement_score":0.35738182,"about_ca_system_score_codex":0.00025752862,"about_ca_system_score_gemma":0.00019566243,"threshold_uncertainty_score":0.99974334},"labels":[],"label_agreement":null},{"id":"W4407636543","doi":"10.1007/s00330-025-11454-y","title":"PI-CAI: a landmark AI study for prostate cancer detection on MRI","year":2025,"lang":"en","type":"editorial","venue":"European Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; University of Toronto","funders":"","keywords":"Neuroradiology; Medicine; Prostate cancer; Landmark; Interventional radiology; Magnetic resonance imaging; Ultrasound; Radiology; Prostate; Cancer detection; Cancer; Nuclear medicine; Medical physics; Neurology; Artificial intelligence; Internal medicine; Computer science","score_opus":0.007347612824828573,"score_gpt":0.3185114875799718,"score_spread":0.3111638747551432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407636543","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":[0.004785039,0.00073374546,0.00271988,0.0030773284,0.97790664,0.0026981279,0.00015517439,0.00027504654,0.0076490287],"genre_scores_gemma":[0.01596325,0.0008720382,0.0002265489,0.0022254752,0.949179,0.0003161887,0.0006167924,0.00021690365,0.030383812],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972676,0.0006705729,0.000481223,0.000813869,0.0003055734,0.00046117842],"domain_scores_gemma":[0.99810797,0.00082878914,0.00022516462,0.0004735626,0.00020681691,0.00015766874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013061531,0.000386748,0.00084315334,0.00030370394,0.00017239574,0.00003925763,0.00025411992,0.00026873988,0.000040028874],"category_scores_gemma":[0.002789744,0.00031324307,0.00018839812,0.00014968473,0.00010403177,0.000021727456,0.000083659754,0.0021056647,0.000039323953],"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":[0.001190867,0.00018627579,0.0006798297,0.0002499358,0.00037688977,0.00023308079,0.00033279098,0.00008665475,0.00008262414,0.0000060856364,0.9515128,0.04506216],"study_design_scores_gemma":[0.0048992448,0.0027614392,0.0013093193,0.00034641902,0.00045420686,0.000019898223,0.00003702571,0.0007768685,0.000011360138,0.000019763746,0.9891052,0.00025922604],"about_ca_topic_score_codex":0.00013202101,"about_ca_topic_score_gemma":0.000035827525,"teacher_disagreement_score":0.04480293,"about_ca_system_score_codex":0.00021869913,"about_ca_system_score_gemma":0.00032810794,"threshold_uncertainty_score":0.999932},"labels":[],"label_agreement":null},{"id":"W4407766526","doi":"10.1007/s00330-025-11446-y","title":"Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","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":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Medicine; Neuroradiology; Radiology; Renal cell carcinoma; Interventional radiology; Carcinoma; Ultrasound; Papillary renal cell carcinomas; Papillary carcinoma; Oncology; Internal medicine; Thyroid carcinoma; Neurology","score_opus":0.009748028472732602,"score_gpt":0.210829666760769,"score_spread":0.2010816382880364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407766526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8957182,0.00052089465,0.000010470088,0.0002596478,0.00013878629,0.0010548519,0.000011127477,0.000060783816,0.10222522],"genre_scores_gemma":[0.9967629,0.000019745796,0.00018217415,0.0009266261,0.000085770014,0.00005467056,0.00016118518,0.000053179305,0.0017538032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763626,0.00069310056,0.0003817756,0.0006526206,0.00020491207,0.0004313202],"domain_scores_gemma":[0.9991238,0.00008331493,0.00009728607,0.0004570982,0.00009591553,0.00014257676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021565237,0.00033647104,0.00049034413,0.00030758997,0.000072266215,0.0000123058635,0.00016383512,0.0000531825,0.000041486506],"category_scores_gemma":[0.000044734363,0.00023677434,0.00007803679,0.00029355686,0.00016076362,0.000046993246,0.00008266588,0.00039199312,0.00012607587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014433141,0.0007544796,0.9897684,0.000098157456,0.00009864721,0.0022009236,0.00041427027,0.00009192835,0.00037077814,0.00007988601,0.003989344,0.00068988715],"study_design_scores_gemma":[0.0061970274,0.005306944,0.9814549,0.00014729593,0.00012631621,0.000056021952,0.00003890717,0.000027459846,0.0058019143,0.0000050123253,0.0006544861,0.00018370451],"about_ca_topic_score_codex":0.000027091848,"about_ca_topic_score_gemma":0.000004455904,"teacher_disagreement_score":0.10104463,"about_ca_system_score_codex":0.00028339174,"about_ca_system_score_gemma":0.0001634497,"threshold_uncertainty_score":0.9655377},"labels":[],"label_agreement":null},{"id":"W4407947885","doi":"10.1007/s00330-025-11413-7","title":"Sustainability in radiology: position paper and call to action from ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R, RANZCR, and RSNA","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; University of Toronto; University Health Network; University of British Columbia","funders":"Academia Oamenilor de Știință din România; Royal Australian and New Zealand College of Radiologists; Radiological Society of North America","keywords":"Medicine; Health care; Sustainability; Government (linguistics); Call to action; Business; Greenhouse gas; Environmental resource management; Economic growth; Marketing","score_opus":0.019927560638380977,"score_gpt":0.3003584912110762,"score_spread":0.28043093057269525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407947885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795273,0.00092948496,0.00019178199,0.011918881,0.00033361957,0.0005885688,0.000030397718,0.000058125916,0.006421816],"genre_scores_gemma":[0.9879176,0.0011279252,0.00025402717,0.010069893,0.00012549484,0.000022110698,0.00005084862,0.000023864148,0.0004082121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731237,0.00088300445,0.00039076936,0.0007308172,0.00008971172,0.00059335114],"domain_scores_gemma":[0.9990398,0.00026619478,0.000079817735,0.0003557886,0.000016769523,0.00024159922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087188475,0.00024104632,0.00039099954,0.00013204737,0.00018563824,0.000029331728,0.00017817608,0.0001604718,0.0003186534],"category_scores_gemma":[0.0003108901,0.0002301401,0.00003563776,0.00025404105,0.00030590573,0.00020328828,0.0003195246,0.00032563054,0.00010020743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014076538,0.0003370548,0.68155766,0.00022731407,0.000060885104,0.0005056575,0.009636624,0.00032414767,0.06847718,0.0006882717,0.08191376,0.15486377],"study_design_scores_gemma":[0.0012568079,0.0002795658,0.95848614,0.00003179117,0.000018825333,0.00007130055,0.00040800328,0.00014664957,0.00012185021,0.0018200547,0.037131727,0.00022727493],"about_ca_topic_score_codex":0.002044271,"about_ca_topic_score_gemma":0.0018042272,"teacher_disagreement_score":0.27692848,"about_ca_system_score_codex":0.0005113786,"about_ca_system_score_gemma":0.000026401174,"threshold_uncertainty_score":0.9384841},"labels":[],"label_agreement":null},{"id":"W4408746672","doi":"10.1007/s00330-025-11469-5","title":"Magnetic resonance imaging for suspected perianal Crohn's disease in children: a multi-reader agreement study","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Anorectal Disease Treatments and Outcomes","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":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Neuroradiology; Magnetic resonance imaging; Abscess; Radiology; Kappa; Fistula; Interventional radiology; Retrospective cohort study; Perianal Abscess; Nuclear medicine; Surgery","score_opus":0.011769633120537111,"score_gpt":0.2823266737189419,"score_spread":0.27055704059840474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408746672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98765934,0.007857246,0.0001490324,0.00078858883,0.00012248824,0.0017873733,0.000035049805,0.00005983153,0.001541031],"genre_scores_gemma":[0.9933712,0.00003095067,0.00036189938,0.0010462272,0.00008627326,0.000072588016,0.000072690236,0.000025355917,0.0049328282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998679,0.000226797,0.00027226756,0.00043508195,0.00006985964,0.00031700137],"domain_scores_gemma":[0.99945474,0.00004199908,0.0000362518,0.00029710858,0.000036780504,0.00013314628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012901018,0.00018981418,0.000305581,0.00016679846,0.000076782795,0.00001338462,0.00011035267,0.0000144259475,0.00013801677],"category_scores_gemma":[0.00012726401,0.00015154216,0.00010358039,0.00015267351,0.00009347934,0.00002575338,0.000060416165,0.000094200426,0.000034924284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008230616,0.0009701959,0.9860952,0.000015309904,0.00006581208,0.0012573794,0.00023987898,0.000004013499,0.000032511805,0.00011229324,0.00090627687,0.009478068],"study_design_scores_gemma":[0.009278568,0.00027190606,0.98844063,0.00004642525,0.0002142997,0.000014669328,0.00017713475,0.00039328475,0.0000018337664,0.000013013629,0.0010268638,0.00012137106],"about_ca_topic_score_codex":0.000044247856,"about_ca_topic_score_gemma":0.000022708551,"teacher_disagreement_score":0.009356697,"about_ca_system_score_codex":0.00009170765,"about_ca_system_score_gemma":0.000071113885,"threshold_uncertainty_score":0.617971},"labels":[],"label_agreement":null},{"id":"W4409368894","doi":"10.1007/s00330-025-11526-z","title":"Estimating the rate of acute adverse reactions to non-ionic low-osmolar contrast media: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"European Radiology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":8,"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":"Seoul National University Hospital; GE Healthcare; Seoul National University","keywords":"Medicine; Iohexol; Iopamidol; Meta-analysis; Cochrane Library; Iopromide; Adverse effect; Internal medicine; Renal function; Radiology; Contrast medium","score_opus":0.0614242263573678,"score_gpt":0.3843302379966027,"score_spread":0.32290601163923494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409368894","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":[0.0000014819088,0.99017036,0.0007895116,0.0015499337,0.00010825625,0.005359717,0.0007670548,0.000037374477,0.0012162939],"genre_scores_gemma":[0.000023984616,0.9927605,0.00090903614,0.002015658,0.00008689252,0.0006071879,0.000396149,0.000067525034,0.003133083],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99052286,0.005955258,0.002130235,0.0007100724,0.00024857544,0.00043298383],"domain_scores_gemma":[0.9938099,0.0027823981,0.0010724162,0.0017235079,0.0002970213,0.00031475324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005660606,0.00056487694,0.011130329,0.0007186084,0.00014087124,0.000016089909,0.0006683713,0.0001484527,0.0003020346],"category_scores_gemma":[0.006149814,0.0002953571,0.0024743376,0.0019094214,0.0002602589,0.000042299907,0.0003412658,0.0009625132,0.00024826577],"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":[0.000010151315,0.000029806743,5.5855963e-7,0.72613186,0.2636277,0.0002712681,0.00008211938,0.0000015191288,0.0000019622892,0.00003113239,0.009316148,0.0004957636],"study_design_scores_gemma":[0.00019011235,0.00011447339,0.000005329223,0.050975453,0.92007256,0.0008044985,0.000011574701,0.000028855782,2.4099583e-7,0.000002179755,0.027604258,0.0001904936],"about_ca_topic_score_codex":0.0000096467675,"about_ca_topic_score_gemma":0.000001523215,"teacher_disagreement_score":0.6751564,"about_ca_system_score_codex":0.000105087995,"about_ca_system_score_gemma":0.00044798286,"threshold_uncertainty_score":0.9999499},"labels":[],"label_agreement":null},{"id":"W4409780451","doi":"10.1007/s00330-025-11578-1","title":"Identification of abdominal MRI features associated with histopathological severity and treatment response in autoimmune hepatitis","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Neuroradiology; Autoimmune hepatitis; Interventional radiology; Radiology; Identification (biology); Ultrasound; Hepatitis a virus; Magnetic resonance imaging; Hepatitis; Internal medicine; Pathology; Immunology; Neurology","score_opus":0.009445717533073831,"score_gpt":0.24856171889050432,"score_spread":0.2391160013574305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409780451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973759,0.00087960676,0.000053050488,0.0005219529,0.00004870861,0.00018642392,0.000017755832,0.000022311908,0.0008942847],"genre_scores_gemma":[0.9976063,0.0002942675,0.00007110636,0.00011419212,0.000007918454,0.000005124502,0.000034531346,0.000005805247,0.0018608058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984288,0.0010456884,0.00021182232,0.00016753409,0.000041570387,0.000104543804],"domain_scores_gemma":[0.99950117,0.0001477531,0.00008470375,0.00019840851,0.000039284518,0.000028678172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047607246,0.00008640039,0.00026270546,0.00009799477,0.000040683102,0.000004133117,0.000050254635,0.000040858613,0.0000145517315],"category_scores_gemma":[0.0002932186,0.00006286424,0.000033963457,0.00011541531,0.00020141319,0.00002168375,0.000030618437,0.00010171272,0.000002222298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010624824,0.0006880667,0.9493332,0.00002805583,0.00013240766,0.00072469073,0.00091044285,0.000008530097,0.030821301,0.00022494723,0.00046828267,0.006035286],"study_design_scores_gemma":[0.0019177727,0.0011239736,0.9960036,0.000058912203,0.00009061654,0.000090375535,0.00005509341,0.000073778254,0.0002621127,0.000016952277,0.00025635827,0.000050415896],"about_ca_topic_score_codex":0.00008786363,"about_ca_topic_score_gemma":0.000014625535,"teacher_disagreement_score":0.046670474,"about_ca_system_score_codex":0.00014342125,"about_ca_system_score_gemma":0.00005951608,"threshold_uncertainty_score":0.25635293},"labels":[],"label_agreement":null},{"id":"W4410156427","doi":"10.1007/s00330-025-11644-8","title":"Radiological evaluation and clinical implications of deep learning- and MRI-based synthetic CT for the assessment of cervical spine injuries","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Radiological weapon; Interventional radiology; Cervical spine; Radiology; Magnetic resonance imaging; Medical physics; Neurology; Surgery","score_opus":0.033077971131787835,"score_gpt":0.4233541574962759,"score_spread":0.3902761863644881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410156427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6802378,0.0029668147,0.2948045,0.016906695,0.000116995085,0.001561658,0.000009750711,0.00006278736,0.0033329697],"genre_scores_gemma":[0.9925618,0.0004725679,0.0063982294,0.0004373378,0.000047318146,0.000027987695,0.0000226824,0.0000065469317,0.000025500345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988304,0.00046690006,0.00038554965,0.00018171818,0.000056657125,0.000078799225],"domain_scores_gemma":[0.99870706,0.0007979742,0.00016056352,0.00016151967,0.00014241392,0.000030498915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015725016,0.00007219524,0.00028038927,0.00006181378,0.00006325367,0.0000036828187,0.00006342474,0.000042625084,0.000027544698],"category_scores_gemma":[0.0010553085,0.0000443728,0.00006821981,0.00006893094,0.0004126467,0.000009005503,0.000035068722,0.000162828,1.7138942e-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":[0.00037715197,0.0002421842,0.7193027,0.00019415743,0.00025087706,0.0000019529414,0.000048603182,0.00009737259,0.0039930227,0.039709184,0.0006746309,0.23510812],"study_design_scores_gemma":[0.0008188013,0.0014154149,0.9803212,0.000028623763,0.0002530179,0.00002096942,0.00002693841,0.010474089,0.00019107472,0.0007971792,0.0056146663,0.000037993428],"about_ca_topic_score_codex":0.0000020212938,"about_ca_topic_score_gemma":0.0000010263486,"teacher_disagreement_score":0.31232402,"about_ca_system_score_codex":0.000013950724,"about_ca_system_score_gemma":0.000045389934,"threshold_uncertainty_score":0.18094702},"labels":[],"label_agreement":null},{"id":"W4410229949","doi":"10.1007/s00330-025-11652-8","title":"Ultrasound-derived fat fraction for diagnosing hepatic steatosis: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Steatosis; Medicine; Ultrasound; Neuroradiology; Interventional radiology; Meta-analysis; Radiology; Internal medicine; Neurology","score_opus":0.06861036606336547,"score_gpt":0.349346998180891,"score_spread":0.28073663211752553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410229949","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":[0.0000031883897,0.99111587,0.00022828899,0.00016873806,0.00006551224,0.0077395043,0.00029328914,0.0000686241,0.00031699945],"genre_scores_gemma":[0.00009142,0.9933041,0.00022626,0.0015082367,0.000073743555,0.003250539,0.0010127196,0.00006677673,0.00046623964],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9951322,0.0023863015,0.0012388073,0.0008096603,0.00013628384,0.00029672313],"domain_scores_gemma":[0.99471545,0.0033649288,0.00078125804,0.0008424385,0.00011186964,0.00018406576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00066787016,0.00063779054,0.011324397,0.0004043696,0.00012330501,0.000041943804,0.00016564546,0.00012633402,0.00013995987],"category_scores_gemma":[0.0011709534,0.00039177237,0.0041502486,0.0004755866,0.00006580202,0.000046174042,0.00005673999,0.000204825,0.00005975647],"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":[0.000003168812,0.00012194687,0.000017871042,0.7259399,0.2714995,0.00006713006,0.000014879338,1.4286292e-7,5.776375e-8,0.000027011409,0.0011237694,0.0011845583],"study_design_scores_gemma":[0.0002521501,0.00013590729,0.0000363842,0.06972628,0.9120035,0.00018260014,0.000008963104,9.129325e-7,2.2119846e-7,0.0000042596416,0.017402578,0.00024619646],"about_ca_topic_score_codex":0.000008842947,"about_ca_topic_score_gemma":0.0000023940345,"teacher_disagreement_score":0.65621364,"about_ca_system_score_codex":0.00017158472,"about_ca_system_score_gemma":0.000087754626,"threshold_uncertainty_score":0.99985343},"labels":[],"label_agreement":null},{"id":"W4410334983","doi":"10.1007/s00330-025-11658-2","title":"Leukoaraiosis severity and outcomes of endovascular thrombectomy for acute ischemic stroke: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"European Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Neuroradiology; Leukoaraiosis; Meta-analysis; Interventional radiology; Stroke (engine); Neurology; Ischemic stroke; Cardiology; Internal medicine; Acute stroke; Radiology; Endovascular treatment; Ischemia; Magnetic resonance imaging; Tissue plasminogen activator; Aneurysm; White matter","score_opus":0.04479171221396251,"score_gpt":0.34106193838913057,"score_spread":0.29627022617516807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410334983","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":[0.000005730371,0.98943776,0.0006161905,0.00022902168,0.00003650091,0.005858557,0.00048965967,0.000046380763,0.0032801884],"genre_scores_gemma":[0.000011169456,0.9891755,0.0020926073,0.0009708192,0.000021509803,0.000527072,0.0002656172,0.00006105381,0.006874641],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99586946,0.0010669285,0.0016503388,0.00088556233,0.00019717294,0.00033052755],"domain_scores_gemma":[0.996567,0.0008599845,0.0010301671,0.0013116751,0.000112478185,0.00011865905],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0015373137,0.000719119,0.018043276,0.00048660985,0.000045570323,0.000012754219,0.00036411258,0.00016230975,0.000071539565],"category_scores_gemma":[0.0007778132,0.00045376655,0.004297147,0.00050972914,0.00019387748,0.00003438005,0.00041888212,0.00032231916,0.0000074690215],"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":[0.0000026194884,0.000016482409,0.000009691473,0.55217254,0.44148174,0.000029408735,0.000011220634,1.826819e-8,7.680955e-7,0.000014395384,0.0055724494,0.00068866165],"study_design_scores_gemma":[0.00034682534,0.00006305967,0.000019374756,0.01081242,0.8230522,0.00026100146,0.000006281473,0.0000014358094,9.512023e-7,3.6241283e-7,0.16520514,0.0002309529],"about_ca_topic_score_codex":0.000005149562,"about_ca_topic_score_gemma":0.0000010050043,"teacher_disagreement_score":0.54136014,"about_ca_system_score_codex":0.00006713517,"about_ca_system_score_gemma":0.0000768523,"threshold_uncertainty_score":0.9997914},"labels":[],"label_agreement":null},{"id":"W4410358370","doi":"10.1007/s00330-025-11679-x","title":"Qualitative and quantitative assessment of gadoxetic acid MRI in distinguishing atypical focal nodular hyperplasia from hepatocellular adenoma subtypes","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Gadoxetic acid; Medicine; Neuroradiology; Hepatocellular adenoma; Focal nodular hyperplasia; Radiology; Magnetic resonance imaging; Interventional radiology; Adenoma; Ultrasound; Gadolinium DTPA; Pathology; Hepatocellular carcinoma; Internal medicine; Neurology","score_opus":0.058148922529031116,"score_gpt":0.34080620694729624,"score_spread":0.2826572844182651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410358370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98601013,0.0034808617,0.0033289094,0.0009041844,0.00012579864,0.00041492755,0.000028327211,0.000034245317,0.0056726267],"genre_scores_gemma":[0.98666,0.00011896294,0.012742273,0.00016270328,0.00005328202,0.00001450445,0.00012915161,0.000026553435,0.00009257726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708474,0.0015112122,0.0005165919,0.0004860513,0.00012951826,0.00027189348],"domain_scores_gemma":[0.99875313,0.0006846371,0.00012451566,0.0002604783,0.00007534952,0.00010186857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007474536,0.0002258954,0.0006669498,0.00021051419,0.00005747838,0.000013844954,0.000116325675,0.00009689833,0.000040224888],"category_scores_gemma":[0.0003977843,0.00019850176,0.000103554536,0.00023368018,0.00029976308,0.000044184948,0.00009866134,0.00031357433,0.00001518182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003668218,0.00018195098,0.9781386,0.00008256967,0.00023058982,0.0008744509,0.0051010195,0.0000013205674,0.007615455,0.00627771,0.00013798915,0.0009914753],"study_design_scores_gemma":[0.002989102,0.0010364281,0.98073953,0.00032157346,0.0002846468,0.00004886233,0.002707321,0.0075601526,0.0021595964,0.0007955992,0.0011365134,0.0002206675],"about_ca_topic_score_codex":0.0000968488,"about_ca_topic_score_gemma":0.000019295874,"teacher_disagreement_score":0.009413363,"about_ca_system_score_codex":0.000080943646,"about_ca_system_score_gemma":0.00009295227,"threshold_uncertainty_score":0.80946666},"labels":[],"label_agreement":null},{"id":"W4410631146","doi":"10.1007/s00330-025-11699-7","title":"Imaging in staging, treatment planning, and monitoring of hepatocellular carcinoma for local and locoregional therapies: consensus recommendations from EORTC and ESGAR","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","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":"Princess Margaret Cancer Centre; Toronto General Hospital","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Delphi method; Hepatocellular carcinoma; Clinical trial; Radiology; Medical physics; Radiation treatment planning; Radiation therapy; Internal medicine","score_opus":0.056035113406748785,"score_gpt":0.286122514303152,"score_spread":0.23008740089640323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410631146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822085,0.014875773,0.0009878342,0.001013692,0.000080634534,0.00046913174,0.00003401171,0.000019211577,0.0003111978],"genre_scores_gemma":[0.9971781,0.0004011849,0.0020670467,0.000072658884,0.000053112693,0.000028208555,0.000078395555,0.000018556557,0.000102750455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990561,0.00016810987,0.0002557828,0.00031154032,0.00003475863,0.00017373421],"domain_scores_gemma":[0.99939716,0.0003091118,0.000065005035,0.00012985842,0.00002947096,0.000069387985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017218482,0.00016096697,0.0003297973,0.00016475188,0.00006737803,0.00001003086,0.00002983599,0.00003737104,0.000006861168],"category_scores_gemma":[0.000022209817,0.00013936423,0.000038342925,0.000056939774,0.00022920212,0.000019420779,0.000033449833,0.00007111235,4.089373e-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":[0.00018655162,0.000053026604,0.97476417,0.00004026168,0.000118504984,0.00023742767,0.0015091072,7.7201935e-7,0.0010171592,0.00015380493,0.000107028034,0.021812169],"study_design_scores_gemma":[0.0056991577,0.0005156752,0.9772544,0.00020767257,0.00022762525,0.00010782242,0.0014900417,0.006961109,0.0022334785,0.0002458891,0.004904403,0.00015275521],"about_ca_topic_score_codex":0.0001609055,"about_ca_topic_score_gemma":0.0000029144949,"teacher_disagreement_score":0.021659413,"about_ca_system_score_codex":0.00005038419,"about_ca_system_score_gemma":0.000041033232,"threshold_uncertainty_score":0.5683108},"labels":[],"label_agreement":null},{"id":"W4410861246","doi":"10.1007/s00330-025-11687-x","title":"More than density: validating a mammographic masking prediction model in Dutch breast cancer screening","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Sunnybrook Health Science Centre","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Government of Ontario","keywords":"Medicine; Mammography; Breast cancer; Confidence interval; Masking (illustration); Neuroradiology; Receiver operating characteristic; Retrospective cohort study; Cohort; Radiology; Breast cancer screening; Area under the curve; Cancer; Interventional radiology; Digital mammography; Internal medicine","score_opus":0.013332451230023768,"score_gpt":0.26645060139733806,"score_spread":0.2531181501673143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410861246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95592874,0.00040793594,0.020008817,0.002044796,0.0001953066,0.0002453154,0.000039563634,0.00020995773,0.020919552],"genre_scores_gemma":[0.99682677,0.00006588073,0.0014028003,0.0010798776,0.0001797062,0.000011942926,0.0000448142,0.00003581878,0.00035240865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984493,0.00016927421,0.0003715754,0.00045134343,0.00013058564,0.00042788216],"domain_scores_gemma":[0.99942654,0.000050329145,0.000086795786,0.00027484662,0.00006417577,0.00009731458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047749016,0.00020789405,0.00035088498,0.00076535775,0.00010387033,0.00003811745,0.00014243685,0.00006169249,0.000010397164],"category_scores_gemma":[0.0000435634,0.00019782005,0.00015688347,0.00086063286,0.0001586735,0.00017744712,0.00009712381,0.0003940154,0.0000036686088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022587834,0.00006910293,0.9306579,0.000077356264,0.00015251746,0.00031587362,0.00038339093,0.003359944,0.0024399145,0.00044592106,0.00040477584,0.061467394],"study_design_scores_gemma":[0.0013955731,0.000044243003,0.9401728,0.0007717136,0.00011292513,0.0013770733,0.00027215286,0.055245847,0.00010541145,0.0001863363,0.0001497298,0.00016621592],"about_ca_topic_score_codex":0.00008987398,"about_ca_topic_score_gemma":0.000018309636,"teacher_disagreement_score":0.06130118,"about_ca_system_score_codex":0.000051964576,"about_ca_system_score_gemma":0.00005776221,"threshold_uncertainty_score":0.80668676},"labels":[],"label_agreement":null},{"id":"W4411236075","doi":"10.1007/s00330-025-11619-9","title":"Development and multicentric validation of GRAVITS (GRavity of Venous Insufficiency in post-Thrombotic Syndrome scoring): a novel imaging scoring system for post-thrombotic syndrome. A study by the French Society of Cardiovascular Imaging","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Post-thrombotic syndrome; Medicine; Neuroradiology; Interventional radiology; Radiology; Chronic venous insufficiency; Venous thrombosis; Scoring system; Internal medicine; Thrombosis; Neurology","score_opus":0.01218326223632051,"score_gpt":0.24267681072367156,"score_spread":0.23049354848735104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411236075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888352,0.004444408,0.0037428255,0.00009489093,0.00029983761,0.0024401678,0.000022787925,0.000033887845,0.00008600485],"genre_scores_gemma":[0.99777913,0.000094858086,0.0019268169,0.000056736095,0.000013435058,0.000055173983,0.000027126336,0.000038164333,0.000008554241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972901,0.00033705874,0.0010477582,0.0005749914,0.00031441057,0.00043570015],"domain_scores_gemma":[0.99846697,0.00021995205,0.00039956407,0.00056201615,0.00028781377,0.00006368901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023065975,0.00028437356,0.0013531061,0.00035362257,0.00014839545,0.000016215965,0.00029213523,0.00003886537,0.0000015534772],"category_scores_gemma":[0.0001910644,0.00024011414,0.0002580142,0.0005639386,0.0002199795,0.00007947071,0.00027996203,0.00019231722,0.0000010382628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041715812,0.04957229,0.54480225,0.035930336,0.019933894,0.0012031916,0.08984091,0.0127851395,0.1902964,0.0014776421,0.0004210754,0.05331969],"study_design_scores_gemma":[0.004200304,0.0010902174,0.9802425,0.0014057423,0.0013716555,0.00041521512,0.008376942,0.0009889909,0.0016030548,0.0000041779635,0.000068826295,0.0002323893],"about_ca_topic_score_codex":0.0006972505,"about_ca_topic_score_gemma":0.000008670219,"teacher_disagreement_score":0.4354402,"about_ca_system_score_codex":0.00022991138,"about_ca_system_score_gemma":0.000163971,"threshold_uncertainty_score":0.97915703},"labels":[],"label_agreement":null},{"id":"W4411646683","doi":"10.1007/s00330-025-11774-z","title":"Ultrasound hepatorenal index for the diagnosis of steatosis in patients with type 2 diabetes: a prospective validation study","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"Agence Nationale de la Recherche","keywords":"Medicine; Ultrasound; Steatosis; Interventional radiology; Neuroradiology; Radiology; Diabetes mellitus; Prospective cohort study; Liver steatosis; Type 2 diabetes; Internal medicine; Hepatorenal syndrome; Fatty liver; Cirrhosis; Endocrinology; Disease","score_opus":0.010963245110342726,"score_gpt":0.25318434941535883,"score_spread":0.24222110430501612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411646683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971164,0.0002461907,0.000014548246,0.00007538401,0.00008938062,0.0020635796,0.000025019412,0.000012355894,0.0003571302],"genre_scores_gemma":[0.99941736,0.000034957327,0.000021381826,0.00012729365,0.000026747124,0.00028641633,0.00004778885,0.000013839844,0.000024191908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991754,0.00019128002,0.00019054592,0.00022190702,0.000086114866,0.00013474505],"domain_scores_gemma":[0.9990595,0.0004825939,0.000072091054,0.00021960118,0.00013634865,0.000029882563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017734074,0.000107948676,0.00024182009,0.000094104355,0.00004461706,0.0000066083294,0.0000753797,0.00001870843,0.000017360053],"category_scores_gemma":[0.00016129133,0.0000623533,0.000044116085,0.00022769165,0.000067386274,0.000026431762,0.000022958788,0.000062335435,0.0000034390278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061305275,0.0020670432,0.99474245,0.000026432339,0.0006418141,0.000004497472,0.0004716919,0.000020644682,0.0000038531034,0.000062415755,0.00039865595,0.00094746647],"study_design_scores_gemma":[0.005566598,0.0024849905,0.99088436,0.000069509384,0.00042383643,2.908142e-7,0.00018621732,0.000009783516,0.00023307672,0.000017069422,0.00007055824,0.0000536792],"about_ca_topic_score_codex":0.000019692077,"about_ca_topic_score_gemma":0.000011328887,"teacher_disagreement_score":0.0049535455,"about_ca_system_score_codex":0.00007619282,"about_ca_system_score_gemma":0.000044593042,"threshold_uncertainty_score":0.25426936},"labels":[],"label_agreement":null},{"id":"W4412491333","doi":"10.1007/s00330-025-11846-0","title":"Usefulness of electron density imaging from dual-energy CT for detecting pulmonary thromboembolism in unenhanced CT","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Korea University","keywords":"Medicine; Thrombus; Neuroradiology; In vivo; Radiology; Interventional radiology; Stage (stratigraphy); Nuclear medicine; Internal medicine; Neurology","score_opus":0.00663052546530994,"score_gpt":0.2179528529950912,"score_spread":0.21132232752978128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412491333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8720985,0.0015541976,0.12085494,0.00003255339,0.0005470487,0.00010680917,0.000008201601,0.00019001102,0.004607754],"genre_scores_gemma":[0.9984724,0.00006560238,0.0010777019,0.00010939702,0.00013371588,0.000013476171,0.000024633842,0.000053823802,0.000049246806],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986567,0.0001745953,0.0003773846,0.00031906468,0.00004638656,0.00042585828],"domain_scores_gemma":[0.99932635,0.00027747964,0.00006765371,0.00026670494,0.000028959817,0.000032836455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024401203,0.0002057399,0.00042168767,0.00017708754,0.0000721976,0.000009365784,0.00018851933,0.000017808878,0.0000053502827],"category_scores_gemma":[0.000088759436,0.00023021828,0.000076497345,0.00023751875,0.0000663336,0.00012309135,0.00006582513,0.0002395706,0.000003401691],"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":[0.00013772273,0.00007191657,0.008539926,0.00017216867,0.00018657155,0.0005800162,0.00044079995,0.0704476,0.8035961,0.0030690746,0.0003251331,0.11243302],"study_design_scores_gemma":[0.001857107,0.000060110622,0.09001212,0.00030278432,0.000086822336,0.0002312671,0.00039295966,0.07815304,0.8119114,0.010863713,0.005317605,0.00081109576],"about_ca_topic_score_codex":0.000067189285,"about_ca_topic_score_gemma":0.00004053776,"teacher_disagreement_score":0.12637392,"about_ca_system_score_codex":0.00008080856,"about_ca_system_score_gemma":0.000017511305,"threshold_uncertainty_score":0.93880296},"labels":[],"label_agreement":null},{"id":"W4412628191","doi":"10.1007/s00330-025-11834-4","title":"Systematic review of commercial artificial intelligence tools for the detection and volume quantification in intracerebral hemorrhage","year":2025,"lang":"en","type":"review","venue":"European Radiology","topic":"Intracerebral and Subarachnoid Hemorrhage Research","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":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Medical physics; Cochrane Library; Triage; Systematic review; MEDLINE; Neuroradiology; Artificial intelligence; Meta-analysis; Computer science; Pathology; Emergency medicine; Neurology","score_opus":0.07710155613949168,"score_gpt":0.3617591940461614,"score_spread":0.28465763790666976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412628191","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":[0.00001255155,0.98037595,0.012723014,0.00041489716,0.00026497745,0.005825236,0.000038724153,0.00002332216,0.00032132605],"genre_scores_gemma":[0.00045079237,0.99785197,0.00042093996,0.00016127809,0.00024650106,0.00034462643,0.00011576003,0.00003625544,0.00037188176],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9958603,0.0016169832,0.0016370094,0.00042340992,0.00015382258,0.000308472],"domain_scores_gemma":[0.9966801,0.0020310376,0.0004876132,0.00058624527,0.00015844837,0.00005658104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034206728,0.00029833382,0.0024321303,0.0002642511,0.00010397334,0.00003118667,0.00033786675,0.00018410623,0.000038861643],"category_scores_gemma":[0.0055210222,0.00018584606,0.00037120437,0.00042981314,0.00022577516,0.000056525787,0.00009818531,0.00069722976,0.000054641125],"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":[0.000020235944,0.000022676766,4.933413e-7,0.4884286,0.00004003786,0.0000143907955,0.000018668383,1.177073e-7,0.0000020231244,0.00032811335,0.00003115269,0.5110935],"study_design_scores_gemma":[0.0002639189,0.0006517528,0.000051277453,0.9665593,0.0052717915,0.0016608889,0.00016458405,0.007965151,0.00002714702,0.00010155002,0.016757872,0.00052475254],"about_ca_topic_score_codex":0.000008882936,"about_ca_topic_score_gemma":0.000010558069,"teacher_disagreement_score":0.51056874,"about_ca_system_score_codex":0.00010421624,"about_ca_system_score_gemma":0.00018524105,"threshold_uncertainty_score":0.7578582},"labels":[],"label_agreement":null},{"id":"W4412654590","doi":"10.1007/s00330-025-11826-4","title":"Resected gallbladder polyps: comparison of the 2022 Society of Radiologists in Ultrasound and Joint European Societies Guidelines’ diagnostic performance","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"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","funders":"Department of Medical Imaging, University of Toronto; Princess Margaret Cancer Foundation","keywords":"Medicine; Gallbladder; Radiology; Neuroradiology; Ultrasound; Interventional radiology; Cholecystectomy; Guideline; Gallbladder cancer; Odds ratio; Dysplasia; Internal medicine; Pathology","score_opus":0.043792220458942384,"score_gpt":0.309278191041603,"score_spread":0.2654859705826606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412654590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96937317,0.01801568,0.000039739578,0.0018586131,0.00024253072,0.00029941794,0.000010883846,0.000027150914,0.010132791],"genre_scores_gemma":[0.9943876,0.0035069203,0.00028787222,0.0009245762,0.00012515191,0.0000052939913,0.000013807606,0.000021513782,0.0007272648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978695,0.0006230989,0.0007795708,0.00032063117,0.00013832834,0.00026890394],"domain_scores_gemma":[0.9986559,0.0004883768,0.00023635481,0.00041564644,0.00016517912,0.000038536622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090763136,0.00019550344,0.0006521524,0.000086895954,0.000100934085,0.0000057223106,0.00020524814,0.0000566977,0.00002086617],"category_scores_gemma":[0.001168405,0.00013565134,0.00018584223,0.0003375635,0.00088510395,0.00002847342,0.00025990995,0.0003780257,0.0000027211079],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009057273,0.00007553258,0.8364927,0.0002817854,0.00020524436,0.000008545816,0.003147826,0.00006744999,0.019129913,0.00005800287,0.13890404,0.0015383867],"study_design_scores_gemma":[0.0014380994,0.0002655574,0.99128866,0.00029114407,0.00009054471,0.00006553523,0.0013950957,0.00017774233,0.0018212057,0.000016606902,0.0030435838,0.00010625123],"about_ca_topic_score_codex":0.000041151518,"about_ca_topic_score_gemma":0.000014412278,"teacher_disagreement_score":0.15479593,"about_ca_system_score_codex":0.000055033557,"about_ca_system_score_gemma":0.000078709796,"threshold_uncertainty_score":0.5531701},"labels":[],"label_agreement":null},{"id":"W4413029337","doi":"10.1007/s00330-025-11850-4","title":"CT diagnostic performance for preoperative staging of colon cancer: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"European Radiology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Medicine; Meta-analysis; Neuroradiology; Interventional radiology; Radiology; Colorectal cancer; General surgery; Systematic review; Medical physics; Cancer; MEDLINE; Internal medicine; Neurology","score_opus":0.08297549455504115,"score_gpt":0.3844288059585938,"score_spread":0.30145331140355264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413029337","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":[0.000025761034,0.990459,0.00002644104,0.0000656652,0.000055957324,0.007950889,0.0004046636,0.00002581665,0.0009857873],"genre_scores_gemma":[0.00031617397,0.9936003,0.00010968131,0.00027157363,0.000026086482,0.0029904023,0.00016510808,0.000039750244,0.0024809018],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9963334,0.001543811,0.0011694289,0.0005867251,0.00011824028,0.00024838338],"domain_scores_gemma":[0.9954956,0.00301321,0.00072877243,0.00052129105,0.00014601697,0.0000950993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080003706,0.00046574316,0.012061782,0.00028167324,0.000053803047,0.000007648251,0.00018913898,0.00005066519,0.00014096303],"category_scores_gemma":[0.0011378587,0.00027795538,0.001855156,0.00069834647,0.00011237693,0.000026501677,0.000105073916,0.00021209248,0.000007640142],"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":[0.000011835436,0.000030317035,0.000030119698,0.8456288,0.14989577,0.00005625538,0.000027260945,0.0000024501787,1.3499056e-8,0.000012295899,0.0001554502,0.0041494346],"study_design_scores_gemma":[0.00025995378,0.00040695598,0.000022165797,0.08437453,0.89292645,0.0001044324,0.0000026409816,0.000009524364,3.336756e-7,4.3192293e-7,0.021721238,0.00017131251],"about_ca_topic_score_codex":0.0000133289,"about_ca_topic_score_gemma":0.0000048478305,"teacher_disagreement_score":0.76125425,"about_ca_system_score_codex":0.00017975325,"about_ca_system_score_gemma":0.00022766256,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W4413140924","doi":"10.1007/s00330-025-11894-6","title":"Comparison of coaxial technique with sequential (non-coaxial) technique for renal mass biopsy: evaluation of diagnostic efficacy, complication rates, seeding risk, and clinical outcomes","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"Medicine; Interventional radiology; Coaxial; Radiology; Neuroradiology; Complication; Biopsy; Seeding; Ultrasound; Surgery; Neurology","score_opus":0.07874985137218268,"score_gpt":0.40753191878078543,"score_spread":0.3287820674086027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413140924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83297515,0.00022905973,0.16151604,0.00012003267,0.00012080583,0.0037357241,0.00003367736,0.000042365165,0.0012271461],"genre_scores_gemma":[0.98229134,0.00005508689,0.01708625,0.000027825872,0.00009524476,0.00021604261,0.00016588818,0.000032018972,0.00003031882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709874,0.0010862293,0.0009469347,0.00044936183,0.00021472752,0.00020397389],"domain_scores_gemma":[0.9965136,0.001999227,0.00060723047,0.00039950895,0.00040178167,0.000078634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029466138,0.00022439055,0.0008892206,0.00023547058,0.00007559089,0.0000067849546,0.00013687859,0.00013918689,0.0000076136585],"category_scores_gemma":[0.0015502212,0.00017185765,0.0001520866,0.00018907906,0.00041582793,0.000028793618,0.000061717416,0.0002762435,0.0000018539281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011994035,0.00038317335,0.8584051,0.00015171102,0.0003954631,0.000012865258,0.00009402481,0.00008871975,0.13437262,0.00020875063,0.00031637287,0.004371803],"study_design_scores_gemma":[0.005518719,0.0025013313,0.90381235,0.0002698506,0.0013335686,0.00009999725,0.00004553787,0.0009823685,0.08505803,0.0001245145,0.00011708335,0.00013665424],"about_ca_topic_score_codex":0.000043241376,"about_ca_topic_score_gemma":0.000004315087,"teacher_disagreement_score":0.14931618,"about_ca_system_score_codex":0.00012222897,"about_ca_system_score_gemma":0.00019850476,"threshold_uncertainty_score":0.7008152},"labels":[],"label_agreement":null},{"id":"W4413399718","doi":"10.1007/s00330-025-11796-7","title":"Automated psoas muscle segmentation: imaging features and surgical fitness in spinal metastatic lung cancer","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Neuroradiology; Interventional radiology; Radiology; Psoas Muscles; Lung cancer; Ultrasound; Medical imaging; Lung; Anatomy; Neurology; Pathology; Internal medicine","score_opus":0.02135856051223253,"score_gpt":0.3806569300088453,"score_spread":0.3592983694966128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413399718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95979273,0.0159161,0.00013744195,0.014161684,0.0004889474,0.00038606467,0.0000070465726,0.00023907272,0.008870893],"genre_scores_gemma":[0.99421185,0.00058751245,0.0011446327,0.0032875342,0.00011705966,0.000017178103,0.00002571184,0.000013675332,0.000594865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989554,0.00032646203,0.0002376966,0.00021861133,0.000053841715,0.00020798472],"domain_scores_gemma":[0.999705,0.00005984044,0.000041949683,0.000092917835,0.000029169356,0.000071091636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000337226,0.000093219474,0.0002354067,0.00019208538,0.00006930975,0.000012424903,0.000042671396,0.000017311066,0.000091797156],"category_scores_gemma":[0.00002945016,0.000083424304,0.000022980214,0.00019218144,0.00008908111,0.000035720812,0.000031166746,0.0001979191,0.0000044881485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011751921,0.00030890066,0.76509386,0.0028597969,0.00019214845,0.008469142,0.0016968541,0.00010182749,0.0062286523,0.005520082,0.108896874,0.099456646],"study_design_scores_gemma":[0.0041863453,0.00005122019,0.98096824,0.00043548984,0.000054515458,0.00064924115,0.00018014453,0.0032208723,0.00006515045,0.000044630346,0.010051789,0.00009236565],"about_ca_topic_score_codex":0.00004887782,"about_ca_topic_score_gemma":0.000013210539,"teacher_disagreement_score":0.21587436,"about_ca_system_score_codex":0.00007254862,"about_ca_system_score_gemma":0.000057537356,"threshold_uncertainty_score":0.34019443},"labels":[],"label_agreement":null},{"id":"W4413473118","doi":"10.1007/s00330-025-11972-9","title":"Utility of machine learning for predicting severe chronic thromboembolic pulmonary hypertension based on CT metrics in a surgical cohort","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; St. Michael's Hospital; Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Pulmonary embolism; Pulmonary artery; Pulmonary hypertension; Logistic regression; Ventricle; Cardiology; Internal medicine; Neuroradiology; Cohort; Chronic thromboembolic pulmonary hypertension; Radiology; Pulmonary thromboendarterectomy","score_opus":0.028324126729752392,"score_gpt":0.292787060828625,"score_spread":0.2644629340988726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413473118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97387516,0.0021598646,0.0000762821,0.0003695103,0.00011489842,0.00083217974,0.000025281686,0.00006262202,0.022484217],"genre_scores_gemma":[0.99843985,0.00029420096,0.00018315218,0.00023377588,0.0000622778,0.000016866488,0.00024690657,0.000027021671,0.00049594895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778837,0.00073077343,0.00040567966,0.0004719393,0.00019765797,0.000405572],"domain_scores_gemma":[0.9984328,0.00091686053,0.00008283965,0.00034000547,0.00010444694,0.00012305935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009184221,0.00018858355,0.00066925376,0.0005014697,0.0000950027,0.0000037370323,0.0001251591,0.000059235903,0.00007296583],"category_scores_gemma":[0.0010593312,0.00014577605,0.0001554375,0.0005442048,0.00012477518,0.000027376938,0.00008120879,0.00045040087,0.000012248391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013188764,0.0008798496,0.96977425,0.00017858371,0.00013998945,0.007183041,0.0000045044567,0.00030610137,0.00095151935,0.000030372063,0.0003044135,0.01892852],"study_design_scores_gemma":[0.0036493442,0.001091413,0.75800097,0.00018751947,0.0000822692,0.0008719963,0.000010968937,0.22933953,0.00017309868,0.000015234245,0.0064932494,0.000084392086],"about_ca_topic_score_codex":0.000071547634,"about_ca_topic_score_gemma":0.0000055029213,"teacher_disagreement_score":0.22903343,"about_ca_system_score_codex":0.00009296826,"about_ca_system_score_gemma":0.0001974589,"threshold_uncertainty_score":0.59445745},"labels":[],"label_agreement":null},{"id":"W4413843167","doi":"10.1007/s00330-025-11928-z","title":"Synthesize contrast-enhanced ultrasound image of thyroid nodules via generative adversarial networks","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Neuroradiology; Thyroid nodules; Interventional radiology; Medicine; Ultrasound; Radiology; Contrast (vision); Contrast-enhanced ultrasound; Adversarial system; Thyroid; Artificial intelligence; Internal medicine; Computer science; Neurology","score_opus":0.005773228714488652,"score_gpt":0.24113302638267836,"score_spread":0.2353597976681897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413843167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7696946,0.011074361,0.1073353,0.0015548437,0.001929494,0.0012087361,0.00006724194,0.00017799714,0.10695741],"genre_scores_gemma":[0.9953777,0.00097317476,0.0016264225,0.000750072,0.0005197172,0.000024154835,0.000048127586,0.000028575283,0.00065202784],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984678,0.000403277,0.00037856484,0.0003777252,0.000080596656,0.00029203904],"domain_scores_gemma":[0.9988396,0.000480947,0.00014091468,0.0003598563,0.000096061376,0.00008262411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022976102,0.00021326932,0.00056905387,0.000082961786,0.00006992533,0.00000926142,0.00013001768,0.000068803696,0.00015722182],"category_scores_gemma":[0.00018419731,0.00017195308,0.00015848168,0.00013671548,0.0002785853,0.00003690688,0.000040898478,0.00017432758,0.00003964881],"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":[0.0026680033,0.00096800603,0.008019933,0.00009097502,0.0024135516,0.0004838084,0.0008332278,0.001019724,0.9147644,0.005020618,0.040862165,0.022855576],"study_design_scores_gemma":[0.028932635,0.0048659286,0.46764627,0.0005937935,0.0022065607,0.0004773758,0.0005293948,0.0010402969,0.47319803,0.0006160807,0.01892343,0.0009702152],"about_ca_topic_score_codex":0.000023711793,"about_ca_topic_score_gemma":0.000010792174,"teacher_disagreement_score":0.45962635,"about_ca_system_score_codex":0.00009476733,"about_ca_system_score_gemma":0.00006530505,"threshold_uncertainty_score":0.70120436},"labels":[],"label_agreement":null},{"id":"W4414660608","doi":"10.1007/s00330-025-12023-z","title":"Greenhouse gas emissions due to long-term data storage of CT with reformats and strategies for mitigation","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","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 Toronto; University Health Network","funders":"NIHR Imperial Biomedical Research Centre; Army Medical University; Southwest Hospital; Sahlgrenska Universitetssjukhuset; University of Cambridge; Cambridge University Hospitals; National Institute for Health and Care Research; York University; Sapienza Università di Roma; University of Toyama","keywords":"Greenhouse gas; Neuroradiology; Interventional radiology; Cloud computing; Computer data storage","score_opus":0.0553586400800138,"score_gpt":0.32187325072373923,"score_spread":0.26651461064372545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414660608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99147147,0.00007558341,0.001979311,0.00089161086,0.000050662195,0.0002752203,0.00008479587,0.000021416969,0.0051499307],"genre_scores_gemma":[0.99804014,0.000091763,0.00085032167,0.00065463036,0.00003222207,0.000004514032,0.00010240897,0.000011005862,0.00021302263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993312,0.00007912264,0.00015244023,0.0002073855,0.000043783737,0.00018608056],"domain_scores_gemma":[0.9994449,0.000054012817,0.000059695958,0.00033510078,0.0000050675444,0.00010122257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027363846,0.000076228236,0.00013345889,0.00003760168,0.00009842262,0.000011882621,0.00020855614,0.000014044412,0.000053832253],"category_scores_gemma":[0.00003791631,0.00005669439,0.0000078501,0.00008560244,0.00011058307,0.0001570928,0.00021743214,0.00005083871,0.000015021123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013785191,0.00042809854,0.5299578,0.0014748741,0.00011555807,0.0007229303,0.01170221,0.0011357927,0.061172012,0.0020142524,0.21537001,0.17452796],"study_design_scores_gemma":[0.00075483636,0.0006509381,0.99154663,0.00014921393,0.000027359643,0.00016746395,0.00031810222,0.0002738916,0.0002789707,0.00020895513,0.005480559,0.00014310535],"about_ca_topic_score_codex":0.0000390442,"about_ca_topic_score_gemma":0.0002899065,"teacher_disagreement_score":0.46158883,"about_ca_system_score_codex":0.000030313877,"about_ca_system_score_gemma":0.0000161581,"threshold_uncertainty_score":0.23119302},"labels":[],"label_agreement":null},{"id":"W4415740840","doi":"10.1007/s00330-025-12045-7","title":"Correction: Imaging in staging, treatment planning, and monitoring of hepatocellular carcinoma for local and locoregional therapies: consensus recommendations from EORTC and ESGAR","year":2025,"lang":"en","type":"erratum","venue":"European Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","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; Toronto General Hospital","funders":"","keywords":"Interventional radiology; Hepatocellular carcinoma; Neuroradiology; Statement (logic); MEDLINE","score_opus":0.05135527970627108,"score_gpt":0.27910102383572744,"score_spread":0.22774574412945636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415740840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8993199,0.08660809,0.0009368559,0.0013622484,0.006061652,0.0015689661,0.00030044533,0.0000678531,0.0037740285],"genre_scores_gemma":[0.98480695,0.0029767107,0.0010344279,0.00007777764,0.000633542,0.000076122524,0.0012373988,0.00006426222,0.009092794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982386,0.00032078478,0.00046432953,0.00062275154,0.0000769122,0.00027661287],"domain_scores_gemma":[0.9988736,0.0004945303,0.00020357592,0.00023638012,0.00006983336,0.000122063044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000225608,0.00038456926,0.00077927904,0.00032934945,0.00011438797,0.000020895928,0.000056455618,0.00016566584,0.000017741539],"category_scores_gemma":[0.000049316663,0.00034863714,0.0000932331,0.00008494568,0.00033854734,0.000024225488,0.00006158941,0.00031734628,7.0102897e-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":[0.00024338263,0.000070865084,0.9400779,0.0001418553,0.00028835647,0.0005998487,0.0015248078,6.6992993e-7,0.000055162825,0.000017531253,0.037248842,0.019730762],"study_design_scores_gemma":[0.011400765,0.0023037216,0.64633113,0.002512327,0.0016435308,0.00091938645,0.0032672174,0.023129277,0.00057761313,0.00014433036,0.30691105,0.00085961306],"about_ca_topic_score_codex":0.00031715888,"about_ca_topic_score_gemma":0.000009732484,"teacher_disagreement_score":0.29374677,"about_ca_system_score_codex":0.00013827921,"about_ca_system_score_gemma":0.00016669426,"threshold_uncertainty_score":0.9998966},"labels":[],"label_agreement":null},{"id":"W4416212371","doi":"10.1007/s00330-025-11951-0","title":"Letter to the Editor: Body composition in lung cancer risk stratification—towards clinical translation","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Neuroradiology; Lung cancer; Translation (biology); Interventional radiology; Ultrasound; Composition (language)","score_opus":0.03568933198813297,"score_gpt":0.3619372709478462,"score_spread":0.32624793895971327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416212371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5566337,0.0017524716,0.20189883,0.17282185,0.010656871,0.004190742,0.000059499933,0.0007704209,0.05121562],"genre_scores_gemma":[0.98381984,0.00012973326,0.0019476032,0.008960664,0.0048767463,0.000056872428,0.00006108891,0.000017393826,0.00013004494],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99742854,0.001462379,0.0005056297,0.00030366005,0.00013666166,0.00016311741],"domain_scores_gemma":[0.99930304,0.00011883048,0.00009038893,0.0003472904,0.000089679044,0.000050787028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017040804,0.00011545939,0.00021903105,0.00015278974,0.00008736418,0.00001700805,0.00016318103,0.000079161815,0.00004427589],"category_scores_gemma":[0.00006842835,0.000088694454,0.000075738906,0.00023128757,0.00008381732,0.00004358125,0.000020707866,0.00048437403,0.00003650047],"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":[0.000346445,0.00019144689,0.109497026,0.00003859313,0.00011060452,0.000018784684,0.0003030966,0.00014251331,0.030370798,0.0005789995,0.8375425,0.020859215],"study_design_scores_gemma":[0.0010559033,0.00018114489,0.81114924,0.00013739202,0.00012933197,0.0000083158375,0.000008180404,0.0015228048,0.0015806007,0.00005081175,0.18406294,0.000113342256],"about_ca_topic_score_codex":0.000027898577,"about_ca_topic_score_gemma":0.000031898224,"teacher_disagreement_score":0.7016522,"about_ca_system_score_codex":0.000109158194,"about_ca_system_score_gemma":0.00007151301,"threshold_uncertainty_score":0.36168548},"labels":[],"label_agreement":null},{"id":"W4416324718","doi":"10.1007/s00330-025-12145-4","title":"Reply to the Letter to the Editor: Synthesize contrast-enhanced ultrasound image of thyroid nodules via generative adversarial networks","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Thyroid nodules; Ultrasound; Neuroradiology; Adversarial system; Interventional radiology; Image (mathematics); Generative grammar; Generative adversarial network","score_opus":0.005771754680526808,"score_gpt":0.23672461236509046,"score_spread":0.23095285768456364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416324718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4471806,0.008405394,0.17962651,0.29719797,0.030502543,0.0065027755,0.00030867103,0.0002777517,0.02999779],"genre_scores_gemma":[0.9355964,0.00018829059,0.0007325527,0.048172854,0.014529565,0.00008822148,0.000024293791,0.000032761905,0.00063506974],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804944,0.0006915655,0.00036611038,0.00042846054,0.0001293763,0.0003350581],"domain_scores_gemma":[0.998117,0.00086046336,0.00010726246,0.0007135992,0.00010772797,0.00009391223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047856197,0.00022191255,0.00042546666,0.000057566343,0.00015180047,0.000021333937,0.00032283875,0.00004796284,0.000066463916],"category_scores_gemma":[0.00040371675,0.000119728684,0.00014556968,0.00019505167,0.00017885536,0.000026442778,0.00009671429,0.00025263385,0.0001026671],"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":[0.0006360179,0.000123877,0.00033884097,0.000006824587,0.00042210252,0.000038182996,0.0009758698,0.0012439004,0.04708522,0.0001644546,0.9452403,0.0037244132],"study_design_scores_gemma":[0.0032251559,0.0016210771,0.07522085,0.00014078284,0.0005173759,0.00006367092,0.00036101413,0.000101672405,0.030402364,0.000029947054,0.88803095,0.00028512155],"about_ca_topic_score_codex":0.000067844536,"about_ca_topic_score_gemma":0.000061566345,"teacher_disagreement_score":0.48841578,"about_ca_system_score_codex":0.000099145574,"about_ca_system_score_gemma":0.000047912446,"threshold_uncertainty_score":0.4882394},"labels":[],"label_agreement":null},{"id":"W4416785276","doi":"10.1007/s00330-025-12151-6","title":"Reply to the Letter to the Editor: Rethinking the clinical utility of machine learning for CTEPH severity","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Neuroradiology; Interventional radiology; Ultrasound; Medical imaging; MEDLINE; Cardiac imaging","score_opus":0.053751541805522905,"score_gpt":0.3548869243363707,"score_spread":0.3011353825308478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416785276","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":[0.4333552,0.0011515142,0.0021592937,0.54493684,0.0048431647,0.0026792272,0.000046486366,0.00009158844,0.010736656],"genre_scores_gemma":[0.91939646,0.00005518849,0.00039631058,0.073052004,0.003493693,0.00002752586,0.000023087634,0.000016871949,0.00353884],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968424,0.0019972352,0.00037061993,0.00033302634,0.00016626247,0.00029044718],"domain_scores_gemma":[0.9973916,0.0015604479,0.00006729099,0.0007520422,0.00013101434,0.00009761082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004098933,0.00011621964,0.0002956443,0.000042800155,0.00032282597,0.000010661338,0.00040874723,0.000045243953,0.000039757848],"category_scores_gemma":[0.0040157945,0.0000484563,0.00016350394,0.00017828523,0.00019441462,0.00001430596,0.00030043378,0.00067402085,0.000080274825],"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":[0.0010950557,0.00010696035,0.048874386,0.00001691455,0.00020757726,0.00011416984,0.00027102977,0.000012704548,0.00014068146,0.000049088394,0.93426305,0.014848412],"study_design_scores_gemma":[0.00048679384,0.00043494534,0.24267495,0.000023770772,0.00005051548,0.000045489127,0.000032782318,0.0005341106,0.00002559518,0.000056080567,0.75560135,0.000033617456],"about_ca_topic_score_codex":0.00006108199,"about_ca_topic_score_gemma":0.000019028112,"teacher_disagreement_score":0.48604125,"about_ca_system_score_codex":0.000017620774,"about_ca_system_score_gemma":0.000065578475,"threshold_uncertainty_score":0.48075712},"labels":[],"label_agreement":null},{"id":"W4417034132","doi":"10.1007/s00330-025-12100-3","title":"ESR Essentials: renal imaging in children—practice recommendations by the European Society of Paediatric Radiology","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Pediatric Urology and Nephrology Studies","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":"McMaster Children's Hospital","funders":"European Maritime and Fisheries Fund","keywords":"Neuroradiology; Urinary system; Interventional radiology; Referral; Ultrasound; Computed tomography; Kidney; Pyelogram; Renal pathology","score_opus":0.007741703203390896,"score_gpt":0.2709808980358615,"score_spread":0.2632391948324706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417034132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54487056,0.07304993,0.005082828,0.18198323,0.0017034141,0.0012121743,0.00009218718,0.0002802145,0.19172548],"genre_scores_gemma":[0.97129226,0.008488134,0.001015622,0.017503142,0.0007373666,0.000012580036,0.00015655845,0.00003647586,0.0007578535],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9940958,0.004275703,0.000653124,0.00046797364,0.00007214658,0.00043523984],"domain_scores_gemma":[0.9977854,0.0013481493,0.00029081607,0.00043507197,0.00008961388,0.000050937324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031832755,0.00022281568,0.00047353972,0.00020626174,0.00023203266,0.0000053540293,0.00034036164,0.000091555485,0.000055645418],"category_scores_gemma":[0.0008390659,0.0001697274,0.00018002343,0.00051683455,0.00081146264,0.00007102786,0.00026868237,0.0007604032,0.000054279688],"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":[0.00021293818,0.00023944635,0.272902,0.000010039041,0.00081542594,0.00006418547,0.00048988196,0.000015190456,0.0020214915,0.00034452026,0.7088627,0.014022141],"study_design_scores_gemma":[0.0037547036,0.00024011664,0.8288026,0.000011941394,0.00093023054,0.001854209,0.00034189774,0.000064745764,0.00007711404,0.00015148104,0.16356358,0.00020740711],"about_ca_topic_score_codex":0.000028227892,"about_ca_topic_score_gemma":0.0000033228987,"teacher_disagreement_score":0.5559006,"about_ca_system_score_codex":0.000040890878,"about_ca_system_score_gemma":0.00008306577,"threshold_uncertainty_score":0.69212824},"labels":[],"label_agreement":null},{"id":"W4417039639","doi":"10.1007/s00330-025-12190-z","title":"Equitable and sustainable AI in health in LIMCs: strengthening local systems, not imposing solutions","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Healthcare Facilities Design and Sustainability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interventional radiology; Public health; Neuroradiology; Sustainable development; Sustainability","score_opus":0.0298684150620665,"score_gpt":0.3329786423362586,"score_spread":0.3031102272741921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417039639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7105019,0.029065438,0.03192572,0.09650622,0.001537411,0.0037736208,0.000036398204,0.00046119254,0.12619211],"genre_scores_gemma":[0.9944812,0.00037914352,0.00005781721,0.0012977519,0.000052369116,0.000012487117,0.0000048180227,0.000007924976,0.003706495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99160725,0.005863036,0.00055410445,0.00035302993,0.00008663775,0.0015359476],"domain_scores_gemma":[0.9990451,0.00048255498,0.000061620325,0.00018135247,0.00008687102,0.00014253976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082801,0.00011150016,0.00032497846,0.00029090577,0.0007850019,0.000069877366,0.00018501277,0.00008671049,0.000007874633],"category_scores_gemma":[0.0009985674,0.000121287245,0.000024539064,0.00049738755,0.00047358868,0.00016128701,0.00018518906,0.00037856036,0.0000040693735],"study_design_candidate":"theoretical_or_conceptual","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":[0.000078010795,0.000073845185,0.013503258,0.0005959999,0.000011970219,0.00017486661,0.030774435,0.00128755,0.000015695317,0.92580307,0.0031045019,0.024576811],"study_design_scores_gemma":[0.0012214592,0.0002736305,0.02315033,0.00023511499,0.000004966028,0.000015038029,0.35885918,0.0039620595,0.0000014514653,0.0056222575,0.6063088,0.00034567583],"about_ca_topic_score_codex":0.04831048,"about_ca_topic_score_gemma":0.0051731872,"teacher_disagreement_score":0.9201808,"about_ca_system_score_codex":0.0014900527,"about_ca_system_score_gemma":0.0014050109,"threshold_uncertainty_score":0.9580269},"labels":[],"label_agreement":null},{"id":"W4417065213","doi":"10.1007/s00330-025-12202-y","title":"Reply to the Letter to the Editor: Complication rates in renal mass biopsy—comparing co-axial with sequential biopsy techniques","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Complication; Interventional radiology; Renal mass; Neuroradiology; Biopsy; Ultrasound","score_opus":0.02518766887997437,"score_gpt":0.28709344396436115,"score_spread":0.2619057750843868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417065213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86408085,0.0001962308,0.012565198,0.0780296,0.0014383784,0.002360628,0.000012135576,0.00023077553,0.041086227],"genre_scores_gemma":[0.97986877,0.0000051830543,0.002928635,0.011568652,0.004752542,0.000109301945,0.000051462328,0.000031769767,0.0006837044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982271,0.0005741913,0.0003227749,0.00043808614,0.00013887284,0.00029893604],"domain_scores_gemma":[0.9989823,0.000103177925,0.000074500684,0.00070321624,0.00006220614,0.000074593016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067883276,0.0001947828,0.00028986577,0.00019172434,0.000119593824,0.00003430614,0.00032842022,0.000039930175,0.000015693413],"category_scores_gemma":[0.00005514493,0.00010251917,0.000055155197,0.00034568584,0.00013144192,0.00002472491,0.00010036122,0.00030215477,0.00018295698],"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":[0.0018995873,0.00011561143,0.08355094,0.000035884183,0.0002109408,0.0006238481,0.0009828763,0.0002418822,0.2457448,0.00056636106,0.66338223,0.00264507],"study_design_scores_gemma":[0.0009461012,0.00071808056,0.37357005,0.0001430771,0.00008674117,0.00060752383,0.0000717067,0.00006389901,0.034403834,0.000019720212,0.5891815,0.0001877863],"about_ca_topic_score_codex":0.00010231227,"about_ca_topic_score_gemma":0.000015850052,"teacher_disagreement_score":0.29001912,"about_ca_system_score_codex":0.00017929537,"about_ca_system_score_gemma":0.000049450286,"threshold_uncertainty_score":0.41806105},"labels":[],"label_agreement":null},{"id":"W4417400083","doi":"10.1007/s00330-025-12177-w","title":"Prostate MRI learning curves: establishing training benchmarks for radiology and urology trainees","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Radiology practices and education","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 Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Interventional radiology; Prostate; Grading (engineering); Neuroradiology; Certification; Curriculum; Radiological weapon","score_opus":0.021577912843962963,"score_gpt":0.30069759606399,"score_spread":0.279119683220027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417400083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84962475,0.021746784,0.009984532,0.04883546,0.0022539045,0.0016386323,0.000014028441,0.00026296332,0.06563894],"genre_scores_gemma":[0.9802734,0.004415173,0.0033206856,0.008104157,0.00063975033,0.00006633693,0.0004389295,0.000046735702,0.0026947877],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973164,0.00097646023,0.00047061796,0.0006164093,0.000048412316,0.00057165464],"domain_scores_gemma":[0.9978628,0.0014609094,0.00021088369,0.00024009797,0.00009196246,0.0001333102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020562054,0.00023756211,0.00060714316,0.00028107263,0.00026560566,0.00002497959,0.00015431119,0.00017126078,0.00007663916],"category_scores_gemma":[0.002904785,0.00021745561,0.00009110069,0.00018956605,0.00038113043,0.00016420722,0.00005601621,0.0006695621,0.0000069063767],"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":[0.0049351044,0.0004783268,0.24617903,0.00339603,0.0019893858,0.00068199803,0.040944446,0.0016544325,0.01967342,0.036237467,0.3781935,0.26563686],"study_design_scores_gemma":[0.0060433703,0.0037442872,0.18883862,0.00034552492,0.0008829476,0.0070485454,0.0057771257,0.0035625042,0.00005083999,0.0011488588,0.7819581,0.00059925806],"about_ca_topic_score_codex":0.000009618456,"about_ca_topic_score_gemma":0.0000040289997,"teacher_disagreement_score":0.40376464,"about_ca_system_score_codex":0.00004371268,"about_ca_system_score_gemma":0.00017462265,"threshold_uncertainty_score":0.88675827},"labels":[],"label_agreement":null},{"id":"W4417530822","doi":"10.1007/s00330-025-12226-4","title":"Comparison of Pi10 and PiSlope calculation methods and association with lung function","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University Health Centre; University of British Columbia; McGill University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Lung Association","keywords":"Neuroradiology; Lung function; Airway; Biomarker; Lung; Interventional radiology; Clinical significance","score_opus":0.01928959045141282,"score_gpt":0.3716291036042671,"score_spread":0.3523395131528543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417530822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95773745,0.0030690478,0.020066123,0.00059292745,0.00011146197,0.00032830663,0.00000433652,0.000031878437,0.018058475],"genre_scores_gemma":[0.99542177,0.00005491717,0.0030534721,0.000085587766,0.000059614285,0.0000033853646,0.000029557545,0.0000125480465,0.0012791773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864566,0.0006919992,0.0001952949,0.0002292956,0.00009891842,0.00013885825],"domain_scores_gemma":[0.999389,0.00021006596,0.000100725185,0.00013636281,0.000105592924,0.000058258294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006550616,0.000083931045,0.00026948485,0.00013352017,0.000055258664,0.0000067187084,0.000029481862,0.000049028808,0.000028893608],"category_scores_gemma":[0.00022207109,0.00007040355,0.00002064487,0.00015967111,0.00011941041,0.000041296822,0.000048406146,0.00017119889,0.0000021874853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046180576,0.00004926142,0.933005,0.00022741352,0.00017621115,0.000009852136,0.0001680251,0.00002574112,0.012056385,0.0007682429,0.0011763739,0.05187574],"study_design_scores_gemma":[0.0012044946,0.0002002099,0.99075806,0.000048636084,0.00017293892,0.000026955531,0.000094961084,0.0047360924,0.0003626677,0.00005771178,0.0022831417,0.000054130946],"about_ca_topic_score_codex":0.000012862715,"about_ca_topic_score_gemma":0.000003628661,"teacher_disagreement_score":0.05775311,"about_ca_system_score_codex":0.00014888003,"about_ca_system_score_gemma":0.000054027416,"threshold_uncertainty_score":0.28709733},"labels":[],"label_agreement":null},{"id":"W588914899","doi":"10.1007/s00330-015-3835-8","title":"Comparison of magnetic resonance elastography and diffusion-weighted imaging for differentiating benign and malignant liver lesions","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Medical Research Council","keywords":"Medicine; Magnetic resonance elastography; Receiver operating characteristic; Elastography; Magnetic resonance imaging; Diffusion MRI; Effective diffusion coefficient; Radiology; Neuroradiology; Ultrasound; Nuclear medicine; Interventional radiology; Neurology; Internal medicine","score_opus":0.041344413259147714,"score_gpt":0.2995971573397183,"score_spread":0.2582527440805706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W588914899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97230417,0.023015969,0.001678569,0.00043460244,0.00011712953,0.00036494248,0.00001707399,0.000035995883,0.002031523],"genre_scores_gemma":[0.99092925,0.0008911786,0.0076538506,0.00016948914,0.000105559084,0.000012449072,0.000013583823,0.000032781187,0.00019185635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891686,0.00017604827,0.00030534033,0.0003095422,0.00008674387,0.00020543538],"domain_scores_gemma":[0.9991299,0.00030855864,0.00012029211,0.00020080242,0.00008267363,0.00015776991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024863894,0.00013535479,0.0003820904,0.00012517735,0.00006609851,0.000007130571,0.00006884807,0.000031560634,0.00002343817],"category_scores_gemma":[0.00009090757,0.00011326741,0.00004626989,0.00007705166,0.00026002218,0.000025861635,0.00009538027,0.00010783612,0.0000022703036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000244708,0.00012027446,0.91599834,0.00011808483,0.000025627602,0.000030937314,0.0020772845,0.000001177711,0.0091236355,0.00065969967,0.0072541805,0.06434604],"study_design_scores_gemma":[0.0036953841,0.0011700288,0.96034867,0.00029091182,0.00019509639,0.00019618444,0.00033323476,0.0050463085,0.00052727025,0.00020094553,0.027801542,0.00019440298],"about_ca_topic_score_codex":0.000010863485,"about_ca_topic_score_gemma":0.0000041647263,"teacher_disagreement_score":0.06415164,"about_ca_system_score_codex":0.000018154838,"about_ca_system_score_gemma":0.000021657694,"threshold_uncertainty_score":0.46189108},"labels":[],"label_agreement":null},{"id":"W635681602","doi":"10.1007/s00330-015-3851-8","title":"Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Echogenicity; Nuclear medicine; Neuroradiology; Ultrasound; Histology; Angiomyolipoma; Histopathology; Magnetic resonance imaging; Radiology; Pathology; Kidney; Internal medicine","score_opus":0.03555945271105576,"score_gpt":0.28445477511685485,"score_spread":0.2488953224057991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W635681602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97322375,0.001210349,0.001515329,0.0010312861,0.000114340655,0.000338878,0.000005498466,0.00018511084,0.022375444],"genre_scores_gemma":[0.99432,0.000035822388,0.0034372944,0.0006415395,0.00032537736,0.0000064662354,0.000057619647,0.00005201563,0.0011238625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979936,0.00065031095,0.00020605762,0.00047092498,0.00024235551,0.00043673516],"domain_scores_gemma":[0.99894565,0.00017470204,0.000072452836,0.0003629249,0.00012291888,0.0003213267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065119466,0.00020264847,0.000346789,0.0001533944,0.00010551941,0.00004595663,0.00013948877,0.00002927327,0.00003834936],"category_scores_gemma":[0.00040786518,0.0001418664,0.000041104497,0.00018714018,0.000468134,0.00009132326,0.00009873729,0.0004210069,0.00016110216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005865961,0.00008218837,0.95977336,0.000017014498,0.000050896062,0.002102954,0.00056245003,0.00004977388,0.017700935,0.000793651,0.014301379,0.0039788033],"study_design_scores_gemma":[0.00292292,0.0010116876,0.9604204,0.00004986875,0.000052504744,0.030148387,0.00029569078,0.00036729316,0.00022506877,0.000084991196,0.0042147124,0.00020646617],"about_ca_topic_score_codex":0.000027578368,"about_ca_topic_score_gemma":0.000008448398,"teacher_disagreement_score":0.028045433,"about_ca_system_score_codex":0.00006674676,"about_ca_system_score_gemma":0.000045810626,"threshold_uncertainty_score":0.5785144},"labels":[],"label_agreement":null}]}