{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":672,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":672,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9b99ddb224b0","filters":{"venue":"Radiology"}},"results":[{"id":"W2102634410","doi":"10.1148/radiol.2462070712","title":"Fleischner Society: Glossary of Terms for Thoracic Imaging","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":4264,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Glossary; Medicine; Radiography; Radiology; Meaning (existential); Nuclear medicine; Medical physics; Linguistics; Epistemology","authors":[{"name":"David M. Hansell","is_ca":false},{"name":"Alexander A. Bankier","is_ca":false},{"name":"Heber MacMahon","is_ca":false},{"name":"Theresa C. McLoud","is_ca":false},{"name":"Néstor L. Müller","is_ca":true},{"name":"Jacques Rémy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01991055369116086,"gpt":0.2994155221247264,"spread":0.2795049684335655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003689236,0.002054117,0.001897277,0.01604221,0.001567919,0.004762826,0.00188689,0.002388528,0.07047524],"category_scores_gemma":[0.01436466,0.0009374853,0.001157818,0.01299978,0.001383096,0.005692845,0.002918922,0.003874202,0.07869498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084585,"about_ca_system_score_gemma":0.004523321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009529928,"about_ca_topic_score_gemma":0.01300429,"domain_scores_codex":[0.9969115,0.0005798449,0.001247615,0.0002422618,0.0008487381,0.0001701184],"domain_scores_gemma":[0.9928944,0.001989866,0.001260342,0.0005346976,0.002871338,0.0004494531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006176854,0.00001724671,0.0001879288,0.001285458,0.0000108161,0.0002067905,0.0004226218,0.0001216378,0.000832851,0.009862268,0.9167634,0.07022721],"study_design_scores_gemma":[0.000004433392,0.000004158524,0.0003894607,0.0008143386,0.000005376338,0.0002796156,0.00007120621,0.00003256428,0.00006090334,0.0013961,0.9969226,0.0000193471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003890296,0.2671174,0.05699512,0.03932495,0.03469096,0.004458208,0.1967591,0.006137549,0.3906264],"genre_scores_gemma":[0.02271621,0.2144466,0.160601,0.03278384,0.01667493,0.007479627,0.2831129,0.009742194,0.2524427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07047524,"threshold_uncertainty_score":0.2357632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096759906","doi":"10.1148/radiol.14132958","title":"Image-guided Tumor Ablation: Standardization of Terminology and Reporting Criteria—A 10-Year Update","year":2014,"lang":"en","type":"article","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":1334,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Terminology; Cryoablation; Medical physics; Standardization; Ablative case; Modalities; Radiofrequency ablation; Common Terminology Criteria for Adverse Events; Ablation; Radiology; Computer science; Radiation therapy","authors":[{"name":"Muneeb Ahmed","is_ca":false},{"name":"Luigi Solbiati","is_ca":false},{"name":"Christopher L. Brace","is_ca":false},{"name":"David J. Breen","is_ca":false},{"name":"Matthew R. Callstrom","is_ca":false},{"name":"J. William Charboneau","is_ca":false},{"name":"Minhua Chen","is_ca":false},{"name":"Byung Ihn Choi","is_ca":false},{"name":"Thierry de Baère","is_ca":false},{"name":"Damian E. Dupuy","is_ca":false},{"name":"Debra A. Gervais","is_ca":false},{"name":"David Gianfelice","is_ca":true},{"name":"A. Gillams","is_ca":false},{"name":"Fred T. Lee","is_ca":false},{"name":"Edward Leen","is_ca":false},{"name":"Riccardo Lencioni","is_ca":false},{"name":"Peter J. Littrup","is_ca":false},{"name":"Tito Livraghi","is_ca":false},{"name":"David Lu","is_ca":false},{"name":"John P. McGahan","is_ca":false},{"name":"Maria Franca Meloni","is_ca":false},{"name":"Boris Nikolic","is_ca":false},{"name":"Philippe L. Pereira","is_ca":false},{"name":"Ping Liang","is_ca":false},{"name":"Hyunchul Rhim","is_ca":false},{"name":"Steven C. Rose","is_ca":false},{"name":"Riad Salem","is_ca":false},{"name":"Constantinos T. Sofocleous","is_ca":false},{"name":"Stephen B. Solomon","is_ca":false},{"name":"Michael C. Soulen","is_ca":false},{"name":"Masatoshi Tanaka","is_ca":false},{"name":"Thomas J. Vogl","is_ca":false},{"name":"Bradford J. Wood","is_ca":false},{"name":"S. Nahum Goldberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06538052800806674,"gpt":0.3097841839487658,"spread":0.244403655940699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08457375,0.002184543,0.004056851,0.01864212,0.001480229,0.006202039,0.0092368,0.006855734,0.002044994],"category_scores_gemma":[0.111673,0.001469901,0.003856438,0.01673259,0.00435962,0.009691497,0.003621408,0.009693392,0.002957546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008374416,"about_ca_system_score_gemma":0.02250365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01338049,"about_ca_topic_score_gemma":0.01217133,"domain_scores_codex":[0.9458799,0.01128167,0.02587733,0.002188799,0.0136664,0.001105928],"domain_scores_gemma":[0.7537101,0.0537713,0.03525306,0.008203242,0.1446003,0.004461991],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001241653,0.0001429945,0.00311489,0.00768717,0.0001811149,0.0004484556,0.0005869471,0.0007935004,0.00135431,0.005120371,0.3466279,0.6338183],"study_design_scores_gemma":[0.00006313215,0.000120853,0.006774031,0.02122744,0.0004468982,0.003111965,0.0006396152,0.000967068,0.001397668,0.002365436,0.9627294,0.0001564934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.003328796,0.741491,0.0349085,0.1599628,0.04645031,0.0009649307,0.002275798,0.001285233,0.009332694],"genre_scores_gemma":[0.01545095,0.7495186,0.145267,0.04750526,0.02329458,0.002073688,0.01104334,0.0007186945,0.005127926],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9154263,"threshold_uncertainty_score":0.4472741,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230649743","doi":"10.1148/radiol.2020201365","title":"The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society","year":2020,"lang":"en","type":"article","venue":"Radiology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1127,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Context (archaeology); Intensive care medicine; Pandemic; Health care; Disease; Personal protective equipment; Disease management; Coronavirus disease 2019 (COVID-19); Emergency medicine; Internal medicine; Infectious disease (medical specialty)","authors":[{"name":"Geoffrey D. Rubin","is_ca":false},{"name":"Christopher J. Ryerson","is_ca":true},{"name":"Linda B. Haramati","is_ca":false},{"name":"Nicola Sverzellati","is_ca":false},{"name":"Jeffrey P. Kanne","is_ca":false},{"name":"Suhail Raoof","is_ca":false},{"name":"Neil W. Schluger","is_ca":false},{"name":"Annalisa Volpi","is_ca":false},{"name":"Jae‐Joon Yim","is_ca":false},{"name":"Ian B.K. Martin","is_ca":false},{"name":"Deverick J. Anderson","is_ca":false},{"name":"Christina S. Kong","is_ca":false},{"name":"Talissa A. Altes","is_ca":false},{"name":"Andrew Bush","is_ca":false},{"name":"Sujal R. Desai","is_ca":false},{"name":"onathan Goldin","is_ca":false},{"name":"Jin Mo Goo","is_ca":false},{"name":"Marc Humbert","is_ca":false},{"name":"Yoshikazu Inoue","is_ca":false},{"name":"Hans‐Ulrich Kauczor","is_ca":false},{"name":"Fengming Luo","is_ca":false},{"name":"Peter J. Mazzone","is_ca":false},{"name":"Mathias Prokop","is_ca":false},{"name":"Martine Rémy‐Jardin","is_ca":false},{"name":"Luca Richeldi","is_ca":false},{"name":"Cornelia Schaefer‐Prokop","is_ca":false},{"name":"Noriyuki Tomiyama","is_ca":false},{"name":"Athol U. Wells","is_ca":false},{"name":"Ann N. Leung","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02903078362873905,"gpt":0.3078824804033156,"spread":0.2788516967745765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06492483,0.001254302,0.002086303,0.003419602,0.001944567,0.00506622,0.00513275,0.009790387,0.0009243847],"category_scores_gemma":[0.06536154,0.0007158431,0.001996429,0.001802004,0.004536638,0.004451261,0.006137429,0.01415547,0.001008461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004384954,"about_ca_system_score_gemma":0.0152937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007681299,"about_ca_topic_score_gemma":0.01317909,"domain_scores_codex":[0.9784709,0.01060716,0.004940975,0.001061396,0.003905339,0.00101422],"domain_scores_gemma":[0.9330453,0.02932904,0.005050733,0.00153841,0.02483347,0.006203012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002253671,0.0001424809,0.01218038,0.004686228,0.0002360228,0.0009889377,0.003899574,0.00188863,0.001551316,0.005941285,0.3694951,0.5987647],"study_design_scores_gemma":[0.0002057319,0.0004227215,0.0226974,0.03732945,0.0003670973,0.003994759,0.007552434,0.002680991,0.001420095,0.01630279,0.9066259,0.0004005832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005128912,0.2449385,0.00631937,0.7243888,0.01252748,0.0003145776,0.0002170001,0.0001346356,0.006030858],"genre_scores_gemma":[0.1213101,0.5479413,0.07297172,0.2192243,0.03223844,0.001230922,0.001601262,0.0002261037,0.003255837],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06492483,"threshold_uncertainty_score":0.3433594,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2893608205","doi":"10.1148/radiol.2018181494","title":"Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients","year":2018,"lang":"en","type":"review","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":1115,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Context (archaeology); Radiology; Lexicon; Medical physics; Magnetic resonance imaging; Artificial intelligence; Internal medicine","authors":[{"name":"Victoria Chernyak","is_ca":true},{"name":"Kathryn J. Fowler","is_ca":true},{"name":"Aya Kamaya","is_ca":true},{"name":"Ania Z. Kielar","is_ca":true},{"name":"Khaled M. Elsayes","is_ca":true},{"name":"Mustafa R. Bashir","is_ca":true},{"name":"Yuko Kono","is_ca":true},{"name":"Richard Kinh Gian","is_ca":true},{"name":"Donald G. Mitchell","is_ca":true},{"name":"Amit G. Singal","is_ca":true},{"name":"An Tang","is_ca":true},{"name":"Claude B. Sirlin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09218366801745587,"gpt":0.3000141684306824,"spread":0.2078305004132265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005232946,0.0007307185,0.001771073,0.007124747,0.0003298243,0.002063829,0.001596489,0.001404684,0.004837589],"category_scores_gemma":[0.01538929,0.0003524788,0.00142713,0.00645721,0.0007765316,0.002708533,0.001529391,0.003062383,0.004017209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440368,"about_ca_system_score_gemma":0.00603743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004461771,"about_ca_topic_score_gemma":0.004133411,"domain_scores_codex":[0.9971448,0.0007025668,0.001161165,0.0001509289,0.000706721,0.0001339646],"domain_scores_gemma":[0.9911965,0.003512599,0.001655794,0.0004037503,0.003004184,0.0002271941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001666967,0.00003500632,0.001785508,0.02476012,0.0002176865,0.0001895889,0.0001816005,0.000327985,0.0005707959,0.00718027,0.1549196,0.8096651],"study_design_scores_gemma":[0.00003522179,0.0000373769,0.002608661,0.01477883,0.0002480209,0.001258476,0.00007024845,0.00009788432,0.0003696699,0.001523087,0.9789348,0.00003765554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.001022551,0.9637059,0.003641539,0.00861861,0.003655217,0.0004438653,0.006346074,0.0003669423,0.01219927],"genre_scores_gemma":[0.005190669,0.9623276,0.009979605,0.003683684,0.001776537,0.00046088,0.01351406,0.000146127,0.002920985],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007124747,"threshold_uncertainty_score":0.02767479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169436924","doi":"10.1148/radiol.2272012071","title":"Neurologic Complications of Cerebral Angiography: Prospective Analysis of 2,899 Procedures and Review of the Literature","year":2003,"lang":"en","type":"review","venue":"Radiology","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":896,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"Medicine; Quartile; Complication; Prospective cohort study; Digital subtraction angiography; Angiography; Surgery; Logistic regression; Radiology; Internal medicine; Confidence interval","authors":[{"name":"Robert A. Willinsky","is_ca":true},{"name":"S. Mark Taylor","is_ca":false},{"name":"Karel G. terBrugge","is_ca":false},{"name":"Richard Farb","is_ca":false},{"name":"George Tomlinson","is_ca":false},{"name":"Walter Montanera","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01984982753521597,"gpt":0.3045265784593906,"spread":0.2846767509241747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007038816,0.0003593949,0.0005258331,0.003493641,0.0003138997,0.0006688601,0.00051354,0.0005444423,0.0009761461],"category_scores_gemma":[0.003297886,0.0002948239,0.0004629494,0.003345229,0.0005638452,0.0006933024,0.0002975619,0.0003169481,0.0003365687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368984,"about_ca_system_score_gemma":0.0006561655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002264313,"about_ca_topic_score_gemma":0.002873646,"domain_scores_codex":[0.9988971,0.0001703266,0.0003421472,0.0002104946,0.0003135078,0.00006638723],"domain_scores_gemma":[0.9950404,0.00142628,0.002903801,0.0001043101,0.0003557988,0.0001693977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002636088,0.0001120297,0.9495267,0.002046596,0.0003644089,0.005410703,0.0001492528,0.0001118115,0.0005257903,0.00005432938,0.001279734,0.04015498],"study_design_scores_gemma":[0.00003379747,0.0002267129,0.9713166,0.0009160212,0.0003295307,0.02382488,0.000271368,0.0001699796,0.0002155465,0.00004914381,0.002628081,0.00001828511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8912488,0.105081,0.0003067013,0.0002510596,0.00005719013,0.00008104114,0.001551721,0.00002799511,0.001394583],"genre_scores_gemma":[0.9249921,0.07129559,0.0008711853,0.000267765,0.0003036387,0.00009303354,0.001939931,0.000009887717,0.000226866],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003493641,"threshold_uncertainty_score":0.004502296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099848524","doi":"10.1148/radiol.2411050913","title":"US or CT for Diagnosis of Appendicitis in Children and Adults? A Meta-Analysis","year":2006,"lang":"en","type":"review","venue":"Radiology","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":736,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Appendicitis; Confidence interval; Meta-analysis; Medical diagnosis; Radiology; Diagnostic accuracy; Prospective cohort study; Retrospective cohort study; Internal medicine; Surgery","authors":[{"name":"Andréa S. Doria","is_ca":true},{"name":"Rahim Moineddin","is_ca":true},{"name":"Christian J. Kellenberger","is_ca":true},{"name":"Mónica Epelman","is_ca":true},{"name":"Joseph Beyene","is_ca":true},{"name":"Suzanne Schuh","is_ca":true},{"name":"Paul Babyn","is_ca":true},{"name":"Paul T. Dick","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07124182654731118,"gpt":0.3631730121715834,"spread":0.2919311856242722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.02869372,0.00443136,0.02161709,0.007768887,0.0009983154,0.004633356,0.003202326,0.004165463,0.003869582],"category_scores_gemma":[0.06136855,0.002514391,0.07986046,0.006580579,0.001135134,0.002760977,0.002105347,0.002953077,0.0004612817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602766,"about_ca_system_score_gemma":0.001997435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007491904,"about_ca_topic_score_gemma":0.01058024,"domain_scores_codex":[0.9753333,0.01427428,0.004669589,0.003385508,0.001686748,0.0006505673],"domain_scores_gemma":[0.9341483,0.05258137,0.007525781,0.002512048,0.00240105,0.0008314795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003692452,0.00001575876,0.01178095,0.02868822,0.9518734,0.0001076281,0.00003673061,0.0003156014,0.0001234483,0.00004667759,0.0002009198,0.003118176],"study_design_scores_gemma":[0.0005175541,0.0001728187,0.004235232,0.00242407,0.9918469,0.00009055765,0.00001998518,0.0001783559,0.00005788105,0.00008348643,0.0003593737,0.00001368545],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01965735,0.9770219,0.001190833,0.0004430166,0.0004349706,0.0002159488,0.0005846102,0.00006599483,0.0003855084],"genre_scores_gemma":[0.6514354,0.3376978,0.00481326,0.001850052,0.001239487,0.001003416,0.001259126,0.0001292276,0.0005722425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9783829,"threshold_uncertainty_score":0.1517487,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1949839429","doi":"10.1148/radiol.2015132766","title":"State of the Art: Iterative CT Reconstruction Techniques","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":701,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; University of British Columbia","funders":"","keywords":"Medicine; Iterative reconstruction; Image quality; Algorithm; Tomographic reconstruction; Noise (video); Projection (relational algebra); Radiation dose; Image processing; Tomography; Medical physics; Image (mathematics); Artificial intelligence; Nuclear medicine; Computer science; Radiology","authors":[{"name":"Lucas L. Geyer","is_ca":true},{"name":"U. Joseph Schoepf","is_ca":true},{"name":"Felix G. Meinel","is_ca":true},{"name":"John W. Nance","is_ca":true},{"name":"Gorka Bastarrika","is_ca":true},{"name":"Jonathon Leipsic","is_ca":true},{"name":"Narinder Paul","is_ca":true},{"name":"Marco Rengo","is_ca":true},{"name":"Andrea Laghi","is_ca":true},{"name":"Carlo N. De Cecco","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01847956411274634,"gpt":0.2829636941664656,"spread":0.2644841300537193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002638445,0.00114004,0.001050965,0.002317943,0.0004037047,0.002998203,0.002925174,0.002119535,0.009607732],"category_scores_gemma":[0.006625466,0.0007164447,0.00104191,0.003348421,0.001172823,0.002429373,0.001533167,0.003136255,0.01050277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000710585,"about_ca_system_score_gemma":0.001377076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370111,"about_ca_topic_score_gemma":0.0007295471,"domain_scores_codex":[0.9974673,0.000636481,0.000204127,0.0003750215,0.001238225,0.00007891065],"domain_scores_gemma":[0.9966208,0.001765216,0.0002278443,0.0004059948,0.0008826197,0.00009754651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001115658,0.00005735695,0.0004647444,0.002094834,0.00007901532,0.0001280051,0.0001097988,0.005661225,0.004632751,0.01784379,0.01135891,0.957458],"study_design_scores_gemma":[0.00007005297,0.0003309651,0.001422796,0.003097104,0.0002626231,0.007037835,0.0001132951,0.104637,0.02227775,0.04256523,0.8179721,0.0002133145],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001963413,0.2807498,0.692035,0.001921264,0.0008018222,0.0001466787,0.0002112165,0.001436449,0.02073442],"genre_scores_gemma":[0.04001088,0.3214242,0.6194347,0.001500805,0.002698553,0.0002743698,0.0009134517,0.0009780322,0.01276509],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009607732,"threshold_uncertainty_score":0.03214109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170297325","doi":"10.1148/radiol.15142256","title":"Multiphase CT Angiography: A New Tool for the Imaging Triage of Patients with Acute Ischemic Stroke","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":686,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Angiography; Receiver operating characteristic; Radiology; Modified Rankin Scale; Triage; Inter-rater reliability; Confidence interval; Stroke (engine); Computed tomography angiography; Internal medicine; Ischemia; Ischemic stroke; Rating scale; Emergency medicine","authors":[{"name":"Bijoy K. Menon","is_ca":true},{"name":"Christopher D. d’Esterre","is_ca":false},{"name":"Emmad Qazi","is_ca":true},{"name":"Mohammed Almekhlafi","is_ca":true},{"name":"L.J. Hahn","is_ca":true},{"name":"Andrew M. Demchuk","is_ca":true},{"name":"Mayank Goyal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01398995986850302,"gpt":0.2628603207532894,"spread":0.2488703608847864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003850278,0.000590633,0.0004487387,0.00331321,0.0003107654,0.001161799,0.0005809657,0.0008089044,0.0008096837],"category_scores_gemma":[0.01678352,0.0002968575,0.0003669149,0.001052545,0.0004386245,0.001495677,0.0008940958,0.000601782,0.0003181615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758701,"about_ca_system_score_gemma":0.0008369854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007274761,"about_ca_topic_score_gemma":0.002076266,"domain_scores_codex":[0.9969067,0.001610623,0.000361753,0.0002378345,0.000803674,0.00007932016],"domain_scores_gemma":[0.9901555,0.004200023,0.0024616,0.0006920692,0.002135353,0.0003553953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001487511,0.0002841307,0.7468473,0.0003190079,0.0002214004,0.0004684324,0.0004038911,0.00116252,0.005911469,0.0004109066,0.003788624,0.2386947],"study_design_scores_gemma":[0.0003092848,0.001822441,0.9179158,0.0003800125,0.0003336144,0.01905187,0.0003874228,0.04277825,0.005682234,0.0009750425,0.01019868,0.0001653577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961069,0.00943961,0.08350716,0.00243679,0.0003778403,0.0006890088,0.001528064,0.0005544806,0.00536026],"genre_scores_gemma":[0.903589,0.002346329,0.09100364,0.0005162095,0.000571636,0.0005725963,0.000796938,0.00005070738,0.0005530564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003850278,"threshold_uncertainty_score":0.0203625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065106765","doi":"10.1148/radiology.214.1.r00ja1473","title":"Lung Nodule Enhancement at CT: Multicenter Study","year":2000,"lang":"en","type":"article","venue":"Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":645,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Benignity; Medicine; Nodule (geology); Calcification; Nuclear medicine; Malignancy; Lung; Radiology; Solitary pulmonary nodule; Hounsfield scale; Computed tomography; Pathology; Internal medicine","authors":[{"name":"Stephen J. Swensen","is_ca":false},{"name":"Robert W. Viggiano","is_ca":false},{"name":"David E. Midthun","is_ca":false},{"name":"Nestor L. Müller","is_ca":true},{"name":"A D Sherrick","is_ca":false},{"name":"Keiji Yamashita","is_ca":false},{"name":"David P. Naidich","is_ca":false},{"name":"Edward F. Patz","is_ca":false},{"name":"Thomas E. Hartman","is_ca":false},{"name":"John R. Muhm","is_ca":false},{"name":"Amy L. Weaver","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0105302235828609,"gpt":0.2980284195348404,"spread":0.2874981959519795,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002363146,0.0004500463,0.0004504006,0.0007799423,0.0004980811,0.0006492721,0.0005100484,0.0006387731,0.001302442],"category_scores_gemma":[0.006125152,0.0003249123,0.0003663028,0.0007862801,0.0005400852,0.0005654942,0.0005504476,0.0005197461,0.0004348501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004051528,"about_ca_system_score_gemma":0.0004197619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551471,"about_ca_topic_score_gemma":0.001231878,"domain_scores_codex":[0.9980972,0.0008883361,0.0001361048,0.0004136054,0.0002767422,0.0001879893],"domain_scores_gemma":[0.9943915,0.001253493,0.002380758,0.0003635088,0.0006041421,0.001006605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003241005,0.00007048761,0.9980928,0.00001493077,0.00004639677,0.0001247987,0.00005981162,0.00002602828,0.0001766526,0.000008832223,0.00006218635,0.0009927916],"study_design_scores_gemma":[0.00007383698,0.0006966051,0.9968076,0.00001235288,0.00006896299,0.001578707,0.0001197539,0.0001679633,0.0001415659,0.00001595712,0.0003108093,0.000005819915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991078,0.0003559444,0.00008468721,0.00004160462,0.000003636654,0.0000242132,0.0001472569,0.000003832455,0.0002311111],"genre_scores_gemma":[0.9994412,0.00007154415,0.0001026974,0.00002888311,0.00002177344,0.00001733078,0.0002772809,0.000002153228,0.00003711634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002363146,"threshold_uncertainty_score":0.01249766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132826329","doi":"10.1148/radiol.2015141579","title":"CT-Definable Subtypes of Chronic Obstructive Pulmonary Disease: A Statement of the Fleischner Society","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":641,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Medicine; COPD; Bronchiectasis; Lung; Computed tomographic; Airway; Air trapping; Pulmonary disease; Radiology; Obstructive lung disease; Lung disease; Pathology; Respiratory disease; Internal medicine; Computed tomography; Surgery","authors":[{"name":"David A. Lynch","is_ca":true},{"name":"John H. M. Austin","is_ca":true},{"name":"James C. Hogg","is_ca":true},{"name":"Philippe Greniér","is_ca":true},{"name":"Hans‐Ulrich Kauczor","is_ca":true},{"name":"Alexander A. Bankier","is_ca":true},{"name":"R. Graham Barr","is_ca":true},{"name":"Thomas V. Colby","is_ca":true},{"name":"Jeffrey R. Galvin","is_ca":true},{"name":"Pierre Alain Gevenois","is_ca":true},{"name":"Harvey O. Coxson","is_ca":true},{"name":"Eric A. Hoffman","is_ca":true},{"name":"John D. Newell","is_ca":true},{"name":"Massimo Pistolesi","is_ca":true},{"name":"Edwin K. Silverman","is_ca":true},{"name":"James D. Crapo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02313857524535574,"gpt":0.2907330887981298,"spread":0.2675945135527741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02740388,0.001734248,0.001598596,0.004708938,0.002210593,0.003349957,0.00331948,0.007919207,0.001292529],"category_scores_gemma":[0.02497012,0.0007173339,0.001815463,0.002029748,0.006008483,0.003906337,0.004341531,0.0134182,0.001406651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00428945,"about_ca_system_score_gemma":0.01590455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695466,"about_ca_topic_score_gemma":0.01815764,"domain_scores_codex":[0.9911684,0.001549726,0.002946723,0.0007523742,0.002852118,0.0007307584],"domain_scores_gemma":[0.9707453,0.006705577,0.002468131,0.001688797,0.01414824,0.00424397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000337433,0.0002648375,0.03866136,0.001331547,0.0001194831,0.0011428,0.001561895,0.001399304,0.005030103,0.03726125,0.5510134,0.3618767],"study_design_scores_gemma":[0.00006371411,0.0002053242,0.03748102,0.004792048,0.0001552226,0.004735047,0.001213419,0.00135818,0.001180087,0.01433522,0.9343067,0.0001739373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0121411,0.1540883,0.01523339,0.7483034,0.04087494,0.0005592303,0.001780043,0.0002167498,0.02680282],"genre_scores_gemma":[0.2454121,0.2364052,0.1250193,0.2124664,0.1171208,0.002935714,0.01268966,0.0006350753,0.04731582],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02740388,"threshold_uncertainty_score":0.1449273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1961416321","doi":"10.1148/radiol.2015150619","title":"Elastography Assessment of Liver Fibrosis: Society of Radiologists in Ultrasound Consensus Conference Statement","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":618,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Statement (logic); Liver fibrosis; Consensus conference; Hepatology; Magnetic resonance elastography; Ultrasound; Medical physics; Elastography; Radiology; Fibrosis; Pathology; Internal medicine","authors":[{"name":"R. Graham Barr","is_ca":true},{"name":"Giovanna Ferraioli","is_ca":true},{"name":"Mark L. Palmeri","is_ca":true},{"name":"Zachary Goodman","is_ca":true},{"name":"Guadalupe García–Tsao","is_ca":true},{"name":"Jonathan M. Rubin","is_ca":true},{"name":"Brian S. Garra","is_ca":true},{"name":"Robert P. Myers","is_ca":true},{"name":"Stephanie R. Wilson","is_ca":true},{"name":"Deborah J. Rubens","is_ca":false},{"name":"Deborah Levine","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05121660832377096,"gpt":0.3297079568568258,"spread":0.2784913485330548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07816282,0.001524042,0.003453369,0.005048577,0.00247042,0.003949835,0.006435175,0.01365644,0.002697685],"category_scores_gemma":[0.09177518,0.001481523,0.004289142,0.003556527,0.003134937,0.00276797,0.004547508,0.01620912,0.003657248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004309868,"about_ca_system_score_gemma":0.02420537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005714684,"about_ca_topic_score_gemma":0.009820856,"domain_scores_codex":[0.9585108,0.01707853,0.01050538,0.00151019,0.01099373,0.00140142],"domain_scores_gemma":[0.8397199,0.02682148,0.009817993,0.003293655,0.1118883,0.008458664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000209608,0.0003098108,0.004151769,0.003833604,0.0003264714,0.0009238977,0.0006122375,0.001012065,0.001670453,0.005224703,0.7882221,0.1935032],"study_design_scores_gemma":[0.0004097207,0.0003303303,0.01437552,0.02063985,0.0005899342,0.003384902,0.001210229,0.001665022,0.00152582,0.01595325,0.9396655,0.000249984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006250156,0.08211985,0.04537442,0.7670822,0.06354238,0.005656405,0.002772448,0.0005018969,0.02670016],"genre_scores_gemma":[0.07893101,0.1457717,0.4035688,0.2443115,0.05301049,0.01483101,0.0210398,0.0006916046,0.0378441],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07816282,"threshold_uncertainty_score":0.4133694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078710233","doi":"10.1148/radiology.215.2.r00ma15554","title":"Potential Contribution of Computer-aided Detection to the Sensitivity of Screening Mammography","year":2000,"lang":"en","type":"article","venue":"Radiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":555,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Mammography; Recall rate; CAD; Radiology; Recall; Breast cancer; Cancer detection; Biopsy; Screening mammography; Medical physics; Cancer; Internal medicine; Artificial intelligence","authors":[{"name":"Linda J. Warren Burhenne","is_ca":true},{"name":"Susan A. Wood","is_ca":false},{"name":"Carl J. D’Orsi","is_ca":false},{"name":"Stephen A. Feig","is_ca":false},{"name":"Daniel B. Kopans","is_ca":false},{"name":"Kathryn F. O′Shaughnessy","is_ca":false},{"name":"Edward A. Sickles","is_ca":false},{"name":"Làszló Tabár","is_ca":false},{"name":"Carl J. Vyborny","is_ca":false},{"name":"Ronald A. Castellino","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006188013571337378,"gpt":0.2157110581818913,"spread":0.2095230446105539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01618301,0.000529816,0.0005870954,0.002025763,0.0002439131,0.001373871,0.0009331827,0.001178952,0.0009296502],"category_scores_gemma":[0.1365502,0.0004629896,0.0006473542,0.0008751517,0.001020002,0.000778416,0.0005688667,0.0006011864,0.0003921807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195069,"about_ca_system_score_gemma":0.0004601408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235431,"about_ca_topic_score_gemma":0.0009387934,"domain_scores_codex":[0.9799841,0.01096946,0.00144887,0.001570518,0.005628213,0.0003989292],"domain_scores_gemma":[0.8219824,0.149969,0.013634,0.006596046,0.007333927,0.0004845066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007916725,0.00006416012,0.8978713,0.0003369864,0.0002949573,0.0003721203,0.0002425406,0.001899476,0.003428455,0.0002263853,0.0003165932,0.09415532],"study_design_scores_gemma":[0.00005321851,0.001482905,0.9432323,0.0003173433,0.0005525989,0.01209041,0.000126217,0.01901729,0.01873894,0.0008149277,0.003475092,0.00009864957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644976,0.0179751,0.01282028,0.0007427837,0.00009590958,0.00007515957,0.0002556343,0.0002204533,0.003317102],"genre_scores_gemma":[0.9955657,0.0005788957,0.00339755,0.0001162518,0.00006174978,0.00001256413,0.00009030748,0.00001293642,0.0001640002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618301,"threshold_uncertainty_score":0.08558494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2066473433","doi":"10.1148/radiol.12120896","title":"Nonalcoholic Fatty Liver Disease: MR Imaging of Liver Proton Density Fat Fraction to Assess Hepatic Steatosis","year":2013,"lang":"en","type":"article","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":526,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Hôpital Saint-Luc","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Minority Health and Health Disparities; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Medicine; Nonalcoholic fatty liver disease; Steatosis; Confidence interval; Receiver operating characteristic; Confounding; Magnetic resonance imaging; Fatty liver; Steatohepatitis; Liver biopsy; Neuroradiology; Internal medicine; Nonalcoholic steatohepatitis; Fibrosis; Gastroenterology; Radiology; Biopsy; Disease; Neurology","authors":[{"name":"An Tang","is_ca":true},{"name":"Justin Kok Soon Tan","is_ca":false},{"name":"Mark Y. Sun","is_ca":false},{"name":"Gavin Hamilton","is_ca":false},{"name":"Mark Bydder","is_ca":false},{"name":"Tanya Wolfson","is_ca":false},{"name":"Anthony Gamst","is_ca":false},{"name":"Michael S. Middleton","is_ca":false},{"name":"Elizabeth M. Brunt","is_ca":false},{"name":"Rohit Loomba","is_ca":false},{"name":"Joel E. Lavine","is_ca":false},{"name":"Jeffrey B. Schwimmer","is_ca":false},{"name":"Claude B. Sirlin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02747670951924047,"gpt":0.2861066972934098,"spread":0.2586299877741693,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002051632,0.000725521,0.0004279901,0.0008550252,0.0002194759,0.0004173955,0.0003639702,0.0004900967,0.0011122],"category_scores_gemma":[0.002995344,0.0001410113,0.0001987257,0.0003934726,0.0003870169,0.000387639,0.0003355163,0.000342986,0.0005431682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782348,"about_ca_system_score_gemma":0.0003496659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000289538,"about_ca_topic_score_gemma":0.0007905309,"domain_scores_codex":[0.9992024,0.0003638525,0.0000896561,0.000142701,0.0001544347,0.00004680487],"domain_scores_gemma":[0.9985201,0.000327928,0.0006224618,0.0001339308,0.0002031256,0.0001925931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004745084,0.0001498975,0.9887207,0.00005054236,0.00006704343,0.0001114094,0.00002164198,0.0001062211,0.001531096,0.00002261244,0.00009461062,0.008649608],"study_design_scores_gemma":[0.00009109281,0.001825719,0.9908906,0.00003661448,0.00008608676,0.00339084,0.00006332041,0.001059732,0.001952199,0.00006985015,0.0005248528,0.000009146656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994645,0.002062722,0.001394507,0.0001129658,0.00002790853,0.0001152928,0.0002328046,0.00001997273,0.001388919],"genre_scores_gemma":[0.9976646,0.000282731,0.00134783,0.00008077699,0.00003590896,0.00004579386,0.0003079212,0.000003797822,0.0002307849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002051632,"threshold_uncertainty_score":0.01085025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950537929","doi":"10.1148/radiol.2019182646","title":"Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment","year":2019,"lang":"en","type":"review","venue":"Radiology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":511,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Medical physics; Radiology","authors":[{"name":"Stuart G. Silverman","is_ca":false},{"name":"Iván Pedrosa","is_ca":false},{"name":"James H. Ellis","is_ca":false},{"name":"Nicole Hindman","is_ca":false},{"name":"Nicola Schieda","is_ca":true},{"name":"Andrew D. Smith","is_ca":false},{"name":"Erick M. Remer","is_ca":false},{"name":"Atul B. Shinagare","is_ca":false},{"name":"Nicole E. Curci","is_ca":false},{"name":"Steven S. Raman","is_ca":false},{"name":"Shane A. Wells","is_ca":false},{"name":"Samuel D. Kaffenberger","is_ca":false},{"name":"Zhen J. Wang","is_ca":false},{"name":"Hersh Chandarana","is_ca":false},{"name":"Matthew S. Davenport","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04944938553157272,"gpt":0.3513204766824348,"spread":0.3018710911508621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008255146,0.000827861,0.002335717,0.009415026,0.000682673,0.00290337,0.002730918,0.001696821,0.003268247],"category_scores_gemma":[0.01788266,0.0004398428,0.00191725,0.007602707,0.001750132,0.004087272,0.001360501,0.003149795,0.002434227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00413114,"about_ca_system_score_gemma":0.014679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144146,"about_ca_topic_score_gemma":0.0122703,"domain_scores_codex":[0.9967062,0.0005816144,0.001105278,0.0002390426,0.001151665,0.0002162629],"domain_scores_gemma":[0.9898548,0.002197618,0.001430263,0.0002650894,0.005838002,0.0004141799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001529351,0.00004015747,0.003377499,0.01072247,0.0001190807,0.0001731813,0.0001877012,0.0004818155,0.000387209,0.0100784,0.2293449,0.7449347],"study_design_scores_gemma":[0.0000551383,0.00006390887,0.00664167,0.01291824,0.0002562347,0.001819,0.0002205168,0.0003893617,0.0001759584,0.004477083,0.9729154,0.00006751461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002104032,0.9320923,0.004442454,0.02991839,0.01730454,0.000491349,0.002814633,0.0002435923,0.01058864],"genre_scores_gemma":[0.01318104,0.9310966,0.02046554,0.009546023,0.006651223,0.000663634,0.01217215,0.0001433107,0.006080423],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0144146,"threshold_uncertainty_score":0.0436579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137344154","doi":"10.1148/radiol.2381042117","title":"Diagnostic Architectural and Dynamic Features at Breast MR Imaging: Multicenter Study","year":2006,"lang":"en","type":"article","venue":"Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":511,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Dynamic contrast; Institutional review board; Magnetic resonance imaging; Receiver operating characteristic; Breast imaging; Breast MRI; Dynamic contrast-enhanced MRI; Nuclear medicine; Radiology; BI-RADS; Multivariate statistics; Multivariate analysis; Medical physics; Mammography; Cancer; Statistics; Surgery; Internal medicine","authors":[{"name":"Mitchell D. Schnall","is_ca":false},{"name":"Jeffrey D. Blume","is_ca":false},{"name":"David A. Bluemke","is_ca":false},{"name":"Gia A. DeAngelis","is_ca":false},{"name":"N D DeBruhl","is_ca":false},{"name":"Steven E. Harms","is_ca":false},{"name":"Sylvia H. Heywang‐Köbrunner","is_ca":false},{"name":"Nola Hylton","is_ca":false},{"name":"Christiane Kühl","is_ca":false},{"name":"Etta D. Pisano","is_ca":false},{"name":"Petrina A. Causer","is_ca":true},{"name":"Stuart J. Schnitt","is_ca":false},{"name":"David Thickman","is_ca":false},{"name":"Carol B. Stelling","is_ca":false},{"name":"Paul T. Weatherall","is_ca":false},{"name":"Constance D. Lehman","is_ca":false},{"name":"Constantine Gatsonis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00424430391420464,"gpt":0.2611816156006213,"spread":0.2569373116864166,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003099399,0.0007266831,0.0006412905,0.0009253157,0.0005918017,0.0009118948,0.0007510988,0.0008480024,0.0009935749],"category_scores_gemma":[0.00883474,0.0006073803,0.0004760925,0.001197422,0.0004988955,0.001018064,0.0007610904,0.0006743972,0.0004702496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857483,"about_ca_system_score_gemma":0.0004208178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317515,"about_ca_topic_score_gemma":0.001019557,"domain_scores_codex":[0.9976757,0.001009207,0.0001916815,0.000554907,0.000343919,0.0002244742],"domain_scores_gemma":[0.9930178,0.001283068,0.003356634,0.0007115831,0.0007690776,0.0008619587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003145501,0.00005337724,0.9986927,0.000005409636,0.00003853484,0.0000604866,0.00004128039,0.00001996004,0.00009468271,0.000007026448,0.00004780304,0.0006241304],"study_design_scores_gemma":[0.00008220879,0.0006008968,0.9969937,0.00001385572,0.00009324347,0.001154642,0.0001833811,0.0004264963,0.0001269096,0.0000311403,0.0002832704,0.00001031359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999206,0.0001631869,0.0001127479,0.00003948626,0.000003750284,0.00002147695,0.0002531295,0.000004199109,0.0001960178],"genre_scores_gemma":[0.9991898,0.00005890549,0.0001838268,0.00002949596,0.00002579223,0.00002011499,0.0004418183,0.000003742923,0.0000464758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003099399,"threshold_uncertainty_score":0.0163914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108740605","doi":"10.1148/radiol.2262012190","title":"Osteoarthritis: MR Imaging Findings in Different Stages of Disease and Correlation with Clinical Findings","year":2003,"lang":"en","type":"article","venue":"Radiology","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":485,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging","keywords":"Medicine; Osteoarthritis; Magnetic resonance imaging; Cartilage; WOMAC; Radiography; Edema; Radiology; Bone marrow; Nuclear medicine; Pathology; Internal medicine; Anatomy","authors":[{"name":"Thomas M. Link","is_ca":false},{"name":"Lynne S. Steinbach","is_ca":false},{"name":"Srinka Ghosh","is_ca":false},{"name":"Michael D. Ries","is_ca":false},{"name":"Ying Lü","is_ca":false},{"name":"Nancy E. Lane","is_ca":false},{"name":"Sharmila Majumdar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01222386711381032,"gpt":0.2711721533852393,"spread":0.258948286271429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114181,0.0004336929,0.0003781747,0.001417949,0.0002684455,0.0004721131,0.0002521007,0.0006173183,0.001919067],"category_scores_gemma":[0.004285658,0.0002279716,0.0002111545,0.0006116171,0.0007124633,0.000472272,0.0004481968,0.0002952207,0.0003870263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811037,"about_ca_system_score_gemma":0.000184307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008565852,"about_ca_topic_score_gemma":0.001334767,"domain_scores_codex":[0.9994658,0.0001374818,0.0001101098,0.00008366097,0.0001370927,0.00006582851],"domain_scores_gemma":[0.9973447,0.0004572972,0.001573321,0.00007644237,0.0002407134,0.0003075872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000210101,0.00003489205,0.9947515,0.0000432719,0.00003785161,0.0004695685,0.0000463565,0.00002754231,0.001818379,0.0000104219,0.00004820576,0.002501818],"study_design_scores_gemma":[0.00001586237,0.0002421605,0.9942334,0.00001498457,0.00002921819,0.004976306,0.00008850368,0.00005961358,0.0001942694,0.0000157608,0.0001245464,0.000005358759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971967,0.001677773,0.0001477126,0.00006062335,0.000008561513,0.00001645452,0.00008585049,0.000005346582,0.0008010318],"genre_scores_gemma":[0.9993073,0.0002438924,0.0001903944,0.00002751464,0.00002913512,0.0000079127,0.00009061489,0.000001227765,0.0001020276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001919067,"threshold_uncertainty_score":0.006419897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989369163","doi":"10.1148/radiol.2019191150","title":"O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee","year":2019,"lang":"en","type":"article","venue":"Radiology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":483,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Mount Sinai Hospital; McGill University Health Centre","funders":"Eli Lilly and Company","keywords":"Medicine; Guideline; Risk stratification; Consensus conference; Medical physics; Internal medicine; Pathology","authors":[{"name":"Rochelle F. Andreotti","is_ca":false},{"name":"D. Timmerman","is_ca":false},{"name":"Lori M. Strachowski","is_ca":false},{"name":"Wouter Froyman","is_ca":false},{"name":"Beryl R. Benacerraf","is_ca":false},{"name":"Genevieve L. Bennett","is_ca":false},{"name":"T. Bourne","is_ca":false},{"name":"Douglas L. Brown","is_ca":false},{"name":"Beverly G. Coleman","is_ca":false},{"name":"Mary C. Frates","is_ca":false},{"name":"Steven R. Goldstein","is_ca":false},{"name":"Ulrike M. Hamper","is_ca":false},{"name":"Mindy M. Horrow","is_ca":false},{"name":"Marta Hernanz‐Schulman","is_ca":false},{"name":"Caroline Reinhold","is_ca":true},{"name":"Bradford P. Whitcomb","is_ca":false},{"name":"Wendy Wolfman","is_ca":true},{"name":"Phyllis Glanc","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04135497717400367,"gpt":0.3115943998841823,"spread":0.2702394227101786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01588625,0.001640348,0.002930873,0.009534799,0.001023754,0.00395694,0.005406244,0.003954273,0.004467693],"category_scores_gemma":[0.0285918,0.001048542,0.003933163,0.005280144,0.001265037,0.002676489,0.002739347,0.008162608,0.009683436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004475419,"about_ca_system_score_gemma":0.01297745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763251,"about_ca_topic_score_gemma":0.01427805,"domain_scores_codex":[0.9898468,0.003490842,0.003007451,0.000528665,0.002699342,0.0004269395],"domain_scores_gemma":[0.9806432,0.003272525,0.001843188,0.0006520313,0.01277581,0.0008131824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001871584,0.0001766973,0.004585172,0.002738799,0.0002337489,0.0003836157,0.0002694719,0.002556478,0.0009046468,0.006062196,0.6272247,0.3546774],"study_design_scores_gemma":[0.0004510906,0.0001728429,0.01402042,0.01691617,0.000559093,0.002151418,0.0004515819,0.00423818,0.001347183,0.01256078,0.9469348,0.0001964978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01129219,0.2802306,0.2502172,0.2436354,0.01631841,0.01921849,0.04079467,0.007996055,0.130297],"genre_scores_gemma":[0.05011583,0.2044074,0.4799265,0.06545936,0.00760433,0.01924442,0.1327894,0.002011972,0.03844085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01763251,"threshold_uncertainty_score":0.08401549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075502466","doi":"10.1148/radiol.2461070200","title":"Diagnostic Accuracy of Digital versus Film Mammography: Exploratory Analysis of Selected Population Subgroups in DMIST","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":463,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of North Carolina at Chapel Hill; University of California, Los Angeles; University of Toronto; University of Cincinnati; University of Washington; University of Pennsylvania","keywords":"Medicine; Mammography; Exploratory analysis; Population; Digital mammography; Medical physics; Internal medicine; Breast cancer; Data science; Cancer; Environmental health","authors":[{"name":"Etta D. Pisano","is_ca":true},{"name":"R. Edward Hendrick","is_ca":true},{"name":"Martin J. Yaffe","is_ca":true},{"name":"Janet K. Baum","is_ca":false},{"name":"Suddhasatta Acharyya","is_ca":true},{"name":"Jean Cormack","is_ca":true},{"name":"Lucy A. Hanna","is_ca":true},{"name":"Emily F. Conant","is_ca":false},{"name":"Laurie L. Fajardo","is_ca":false},{"name":"Lawrence W. Bassett","is_ca":false},{"name":"Carl J. D’Orsi","is_ca":false},{"name":"Roberta A. Jong","is_ca":true},{"name":"Murray Rebner","is_ca":false},{"name":"Anna N.A. Tosteson","is_ca":false},{"name":"Constantine Gatsonis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01906063904207679,"gpt":0.260873524781173,"spread":0.2418128857390962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002356221,0.0002414443,0.0005466601,0.0007980053,0.000191034,0.0006282739,0.0003078619,0.0003621781,0.0004193368],"category_scores_gemma":[0.01295462,0.0001455138,0.0003434565,0.0005395095,0.0002528481,0.0003056699,0.0005031286,0.0002112223,0.0000839962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349335,"about_ca_system_score_gemma":0.0001846067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005354071,"about_ca_topic_score_gemma":0.0009624625,"domain_scores_codex":[0.9979585,0.001066088,0.0001966905,0.0003320002,0.0003298929,0.0001168361],"domain_scores_gemma":[0.9946567,0.002792046,0.001670666,0.0003220552,0.0003404086,0.0002180883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001695018,0.00003109552,0.9938259,0.00001931822,0.0001005291,0.0000353432,0.00004241953,0.00007704345,0.0002568328,0.0000162406,0.00004899525,0.003851197],"study_design_scores_gemma":[0.0001745694,0.00129132,0.9942854,0.00002086032,0.0002570643,0.0006859004,0.0002315653,0.001692659,0.0007857972,0.0001167253,0.0004505511,0.00000762125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999095,0.0004078068,0.0001448323,0.00002198763,0.000003062088,0.00001532606,0.0001162284,0.00000328873,0.0001925034],"genre_scores_gemma":[0.9994654,0.00006577378,0.0001597081,0.00002302502,0.000009267052,0.00001545055,0.0002334297,0.000001064427,0.00002683155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002356221,"threshold_uncertainty_score":0.01246101,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139080209","doi":"10.1148/radiol.10091210","title":"Microbubble-enhanced US in Body Imaging: What Role?<sup/>","year":2010,"lang":"en","type":"review","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":461,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Radiology; Magnetic resonance imaging; Vascularity; Microbubbles; Hepatocellular carcinoma; Ultrasound; Renal cell carcinoma; Pathology; Internal medicine","authors":[{"name":"Stephanie R. Wilson","is_ca":true},{"name":"Peter N. Burns","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04459878208443868,"gpt":0.3005752728393621,"spread":0.2559764907549234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009802876,0.0009764992,0.001811982,0.002166543,0.0002954201,0.001435201,0.0009858604,0.001506003,0.002867495],"category_scores_gemma":[0.001451604,0.0002985565,0.0004927919,0.002886511,0.001413516,0.003291887,0.0005350362,0.002130791,0.003629294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008088443,"about_ca_system_score_gemma":0.0009061474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001471752,"about_ca_topic_score_gemma":0.002033242,"domain_scores_codex":[0.9997568,0.00007341917,0.0000291732,0.00003183736,0.00008827382,0.00002042165],"domain_scores_gemma":[0.9992379,0.0004155057,0.00008104159,0.00002720745,0.0001673255,0.000071041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006145112,0.00003643296,0.0003585863,0.009686961,0.00007279622,0.0003155012,0.000111566,0.0001994709,0.001266804,0.003710524,0.05084204,0.9333379],"study_design_scores_gemma":[0.00001470376,0.00007196995,0.001393653,0.006162551,0.00008979282,0.004781304,0.0002078113,0.0001199468,0.0005585975,0.003230631,0.9833414,0.00002760894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007476663,0.997806,0.0001409907,0.0008207711,0.0004284022,0.000002181398,0.000004837456,0.000005899528,0.000716201],"genre_scores_gemma":[0.0007215446,0.9969093,0.0003855871,0.000666035,0.0006171265,0.000005351111,0.000009638919,0.000002555499,0.0006828887],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002867495,"threshold_uncertainty_score":0.009592712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4376640725","doi":"10.1148/radiol.230582","title":"Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and Limitations","year":2023,"lang":"en","type":"article","venue":"Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":456,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Women's College Hospital","funders":"","keywords":"Medicine; Style (visual arts); Recall; Order (exchange); Radiology; Medical physics; Cognitive psychology; Psychology","authors":[{"name":"Rajesh Bhayana","is_ca":true},{"name":"Satheesh Krishna","is_ca":true},{"name":"Robert Bleakney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1150913827002931,"gpt":0.3991779660783883,"spread":0.2840865833780953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08539562,0.001033485,0.001280613,0.00237513,0.0007237545,0.002797071,0.001640064,0.0009492728,0.001939672],"category_scores_gemma":[0.2030175,0.0005314595,0.001476267,0.001902434,0.001470084,0.002534646,0.003579066,0.0009369191,0.0009293593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189971,"about_ca_system_score_gemma":0.001829199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508347,"about_ca_topic_score_gemma":0.006479017,"domain_scores_codex":[0.9409313,0.04193705,0.004730737,0.003824287,0.007282017,0.001294457],"domain_scores_gemma":[0.6733283,0.2601357,0.0220018,0.01476451,0.02521566,0.00455394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001744204,0.000412835,0.8883104,0.0007115151,0.0003313972,0.0002153952,0.006472451,0.001725795,0.0009949441,0.0002675416,0.001780194,0.09703337],"study_design_scores_gemma":[0.000196846,0.003413365,0.9466256,0.0007604996,0.0003064622,0.0009795872,0.00534464,0.03172667,0.003287394,0.001162465,0.00604418,0.0001522057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817837,0.0008836465,0.009606883,0.001211733,0.0001423663,0.001008481,0.0007528719,0.0003624774,0.004247923],"genre_scores_gemma":[0.9895346,0.0003055868,0.00760203,0.0003946133,0.0001030015,0.0008564462,0.0006386309,0.00007723063,0.000487933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08539562,"threshold_uncertainty_score":0.4516206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903408278","doi":"10.1148/radiol.2018180736","title":"The RSNA Pediatric Bone Age Machine Learning Challenge","year":2018,"lang":"en","type":"article","venue":"Radiology","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":454,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"Leidos; National Cancer Institute; National Institute for Health and Care Research; Radiological Society of North America; Massachusetts General Hospital","keywords":"Medicine; Artificial intelligence; Machine learning; Test set; Convolutional neural network; Bone age; Radiological weapon; Artificial neural network; Set (abstract data type); Upload; Deep learning; Data set; Test (biology); Radiography; Medical physics; Radiology; Computer science; Internal medicine","authors":[{"name":"Safwan S. Halabi","is_ca":false},{"name":"Luciano M. Prevedello","is_ca":false},{"name":"Jayashree Kalpathy–Cramer","is_ca":false},{"name":"Artem B. Mamonov","is_ca":false},{"name":"Alexander Bilbily","is_ca":true},{"name":"Mark Cicero","is_ca":true},{"name":"Ian Pan","is_ca":false},{"name":"Lucas Pereira","is_ca":false},{"name":"Rafael T. Sousa","is_ca":false},{"name":"Nitamar Abdala","is_ca":false},{"name":"Felipe Kitamura","is_ca":false},{"name":"Hans Henrik Thodberg","is_ca":false},{"name":"Leon Chen","is_ca":false},{"name":"George Shih","is_ca":false},{"name":"Katherine P. Andriole","is_ca":false},{"name":"Marc Kohli","is_ca":false},{"name":"Bradley J. Erickson","is_ca":false},{"name":"Adam E. Flanders","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01874844020448894,"gpt":0.2910887746923837,"spread":0.2723403344878947,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02236002,0.001438393,0.001889861,0.002058327,0.001510239,0.003114031,0.003443959,0.003310199,0.01046993],"category_scores_gemma":[0.0556261,0.0004806029,0.001151352,0.001545984,0.001189047,0.002319601,0.005107884,0.002819282,0.006863356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00275284,"about_ca_system_score_gemma":0.008019812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009295602,"about_ca_topic_score_gemma":0.01620274,"domain_scores_codex":[0.981892,0.006616728,0.001007125,0.002706283,0.006388251,0.001389578],"domain_scores_gemma":[0.9413742,0.02436979,0.002188287,0.004655102,0.0193115,0.008101194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003187517,0.0002956954,0.007165302,0.0006960105,0.0000684569,0.0006248144,0.0003788862,0.006660067,0.002190105,0.002966682,0.7967669,0.1818683],"study_design_scores_gemma":[0.0002201426,0.0005442823,0.02194085,0.0007135023,0.00005505356,0.003170536,0.001332794,0.03987336,0.008274835,0.01333208,0.9103743,0.0001682537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2084633,0.02883631,0.2175138,0.2404805,0.04202652,0.003651122,0.1222528,0.02861743,0.1081582],"genre_scores_gemma":[0.3959878,0.007917746,0.3149137,0.02047105,0.01455595,0.005092369,0.1383397,0.006675462,0.09604621],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02236002,"threshold_uncertainty_score":0.1182525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147023528","doi":"10.1148/radiol.12112428","title":"Non–Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CT","year":2012,"lang":"en","type":"article","venue":"Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":453,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Nuclear medicine; Lung cancer; Pathology; Tongue; Angiogenesis; Radiology; Internal medicine","authors":[{"name":"Balaji Ganeshan","is_ca":false},{"name":"Vicky Goh","is_ca":true},{"name":"Henry Mandeville","is_ca":false},{"name":"Quan Sing Ng","is_ca":false},{"name":"Peter Hoskin","is_ca":false},{"name":"Kenneth A. Miles","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0118872542745247,"gpt":0.2819139874022782,"spread":0.2700267331277535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045331,0.0002270758,0.0002582624,0.0006099264,0.0001730196,0.0004313267,0.0001551073,0.0003132572,0.001155312],"category_scores_gemma":[0.002657613,0.0001612557,0.0002329739,0.0004507964,0.0002778783,0.0002862203,0.0002418797,0.0002187558,0.000267378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375843,"about_ca_system_score_gemma":0.0001530696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008316974,"about_ca_topic_score_gemma":0.001425339,"domain_scores_codex":[0.9997388,0.00006496768,0.00002657125,0.0000563634,0.00008013788,0.00003322176],"domain_scores_gemma":[0.9983845,0.0004568918,0.0006341337,0.0001265311,0.0002452752,0.0001527141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000441815,0.00002508036,0.9920517,0.0000156565,0.00004245824,0.00006457631,0.000017255,0.0001538571,0.004566003,0.000007444645,0.00002747688,0.002586636],"study_design_scores_gemma":[0.000007635683,0.000139481,0.9978237,0.00000218586,0.00002883873,0.0004435336,0.00002970033,0.0006496774,0.0007641183,0.00001851769,0.00008977685,0.000002774001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984626,0.000315155,0.0007336873,0.00001559567,0.000004592059,0.00001781408,0.00009783084,0.000009273491,0.0003434707],"genre_scores_gemma":[0.9995441,0.00004134889,0.0002258659,0.000006694713,0.000005870847,0.000006051342,0.00008810384,0.00000269026,0.00007919442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001155312,"threshold_uncertainty_score":0.003864944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033768866","doi":"10.1148/radiol.2020192437","title":"Update to the Society of Radiologists in Ultrasound Liver Elastography Consensus Statement","year":2020,"lang":"en","type":"review","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":450,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Elastography; Ultrasound; Radiology; Medical physics","authors":[{"name":"R. Graham Barr","is_ca":true},{"name":"Stephanie R. Wilson","is_ca":true},{"name":"Deborah J. Rubens","is_ca":true},{"name":"Guadalupe García–Tsao","is_ca":true},{"name":"Giovanna Ferraioli","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0454207187734244,"gpt":0.3355249174262792,"spread":0.2901041986528548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009781927,0.001216267,0.002820526,0.007856387,0.0006334365,0.002446289,0.003233425,0.00482626,0.009661256],"category_scores_gemma":[0.01981536,0.000627842,0.002336778,0.004964532,0.000799122,0.00235113,0.002015246,0.004988493,0.01033332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481899,"about_ca_system_score_gemma":0.01031729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003950579,"about_ca_topic_score_gemma":0.005922498,"domain_scores_codex":[0.9947621,0.001262174,0.001274132,0.0003102738,0.002053913,0.0003375161],"domain_scores_gemma":[0.9786215,0.003801313,0.00225099,0.0003603711,0.01389115,0.001074631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006307736,0.00004547821,0.0002144549,0.009484049,0.00009334657,0.0001514166,0.00007039573,0.0001482101,0.0002730906,0.001853656,0.6846886,0.3029143],"study_design_scores_gemma":[0.00002837908,0.00003166399,0.0005958987,0.009680931,0.0001069231,0.0004837925,0.00004470263,0.00004082778,0.00007047757,0.0009347676,0.9879605,0.00002117118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000365644,0.8650669,0.002037821,0.07211988,0.04662939,0.0002884483,0.001618173,0.0001834517,0.01169021],"genre_scores_gemma":[0.002611361,0.9138376,0.005816338,0.03901738,0.02016979,0.0004880327,0.005432846,0.000108691,0.01251797],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009781927,"threshold_uncertainty_score":0.05173242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2070365366","doi":"10.1148/radiol.2453061881","title":"Chronic Hypersensitivity Pneumonitis: Differentiation from Idiopathic Pulmonary Fibrosis and Nonspecific Interstitial Pneumonia by Using Thin-Section CT","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":440,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Honeycombing; Hypersensitivity pneumonitis; Usual interstitial pneumonia; Idiopathic pulmonary fibrosis; Institutional review board; Radiology; Pneumonia; Lung; Pathology; Nuclear medicine; Internal medicine; Surgery","authors":[{"name":"C. Isabela S. Silva","is_ca":true},{"name":"Néstor L. Müller","is_ca":true},{"name":"David A. Lynch","is_ca":false},{"name":"Douglas Curran‐Everett","is_ca":false},{"name":"Kevin M. Brown","is_ca":false},{"name":"Kyung Soo Lee","is_ca":false},{"name":"Man Pyo Chung","is_ca":false},{"name":"Andrew Churg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.015635553075528,"gpt":0.2329799025448047,"spread":0.2173443494692767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002674711,0.0004196099,0.0003911639,0.001168156,0.0002050137,0.0005224588,0.0003629276,0.0005145695,0.0008486232],"category_scores_gemma":[0.009976041,0.0002604394,0.0002179931,0.0003780772,0.0006002637,0.0008029684,0.000362068,0.0002621751,0.0003096422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876966,"about_ca_system_score_gemma":0.0002768106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005882002,"about_ca_topic_score_gemma":0.0009785043,"domain_scores_codex":[0.9991421,0.0003041028,0.0001740586,0.0001425622,0.0001634493,0.00007381247],"domain_scores_gemma":[0.9945157,0.002541047,0.001632932,0.0002695192,0.0006194773,0.0004212122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002727198,0.00002117609,0.9956731,0.00001960235,0.00002127107,0.0004320572,0.00002973306,0.00007554495,0.0006585601,0.000006511534,0.00004285335,0.002746789],"study_design_scores_gemma":[0.00007450642,0.0007569196,0.9761451,0.00006075275,0.00009815602,0.01873868,0.0002159394,0.002290411,0.001194093,0.00004776343,0.0003647926,0.00001289029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986218,0.0006642254,0.0003591041,0.00001611837,0.000005849248,0.00002753697,0.0000592435,0.000006745477,0.0002393696],"genre_scores_gemma":[0.9989034,0.0001599399,0.0006720119,0.00001711378,0.00001736885,0.00001219069,0.0001745657,0.000001840738,0.00004160472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002674711,"threshold_uncertainty_score":0.01414543,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2112501246","doi":"10.1148/radiol.2253011578","title":"Acute Lateral Patellar Dislocation at MR Imaging: Injury Patterns of Medial Patellar Soft-Tissue Restraints and Osteochondral Injuries of the Inferomedial Patella","year":2002,"lang":"en","type":"article","venue":"Radiology","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":434,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Patella; Medial patellofemoral ligament; Coronal plane; Impaction; Magnetic resonance imaging; Anatomy; Surgery; Radiology","authors":[{"name":"David A. Elias","is_ca":true},{"name":"Lawrence M. White","is_ca":false},{"name":"Donald C. Fithian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008602987238141284,"gpt":0.2054091786655249,"spread":0.1968061914273836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000411086,0.0003619292,0.000297114,0.001297157,0.0002528223,0.0003801423,0.0002727648,0.0005434158,0.002472618],"category_scores_gemma":[0.002357434,0.0003711472,0.0001930265,0.0004494649,0.0005627676,0.000753566,0.0005951687,0.00021528,0.0006695265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566839,"about_ca_system_score_gemma":0.00017823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008444774,"about_ca_topic_score_gemma":0.0009992388,"domain_scores_codex":[0.9995636,0.0000854539,0.0000759971,0.00007600232,0.00009085623,0.0001081103],"domain_scores_gemma":[0.9986304,0.0001839774,0.0007918541,0.00005725252,0.0001192727,0.0002171847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002101559,0.00006146242,0.9852515,0.00002722288,0.00001711114,0.008410593,0.0001903644,0.00003087762,0.002755357,0.00001625917,0.00007883258,0.002950224],"study_design_scores_gemma":[0.00002077969,0.0004279948,0.9214116,0.00002283356,0.00001549496,0.07699917,0.0004178747,0.0001009911,0.0003962675,0.00001736831,0.0001620581,0.000007588975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994165,0.0001899926,0.00009080993,0.00001628207,0.000001796916,0.00000494259,0.00002071092,0.000004328096,0.0002546723],"genre_scores_gemma":[0.9996827,0.00006595423,0.00008691922,0.00001627439,0.00001110636,0.000003828241,0.00004610543,0.000001155354,0.00008605253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002472618,"threshold_uncertainty_score":0.008271694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3016483492","doi":"10.1148/radiol.2020190646","title":"Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel","year":2020,"lang":"en","type":"article","venue":"Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":411,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Women's College Hospital; Mount Sinai Hospital; University Health Network; University of British Columbia","funders":"Clinical and Translational Science Institute, University of California, San Francisco; Department of Radiology and Biomedical Imaging, University of California, San Francisco; National Center for Advancing Translational Sciences","keywords":"Medicine; Prostate; Prostate cancer; Radiology; Predictive value; Disease; Multiparametric MRI; Cancer; Value (mathematics); Internal medicine; Statistics","authors":[{"name":"Antonio C. Westphalen","is_ca":false},{"name":"Charles E. McCulloch","is_ca":false},{"name":"Jordan Anaokar","is_ca":false},{"name":"Sandeep Arora","is_ca":false},{"name":"Nimrod Barashi","is_ca":false},{"name":"Jelle O. Barentsz","is_ca":false},{"name":"Tharakeswara Bathala","is_ca":false},{"name":"Leonardo Kayat Bittencourt","is_ca":false},{"name":"Michael T. Booker","is_ca":false},{"name":"Vaughn G. Braxton","is_ca":false},{"name":"Peter R. Carroll","is_ca":false},{"name":"David D. Casalino","is_ca":false},{"name":"Silvia D. Chang","is_ca":true},{"name":"Fergus V. Coakley","is_ca":false},{"name":"Ravjot Dhatt","is_ca":true},{"name":"Steven C. Eberhardt","is_ca":false},{"name":"Bryan R. Foster","is_ca":false},{"name":"Adam T. Froemming","is_ca":false},{"name":"Jurgen J. Fütterer","is_ca":false},{"name":"Dhakshina Moorthy Ganeshan","is_ca":false},{"name":"Mark R. Gertner","is_ca":true},{"name":"Lori Mankowski Gettle","is_ca":false},{"name":"Sangeet Ghai","is_ca":true},{"name":"Rajan T. Gupta","is_ca":false},{"name":"Michael E. Hahn","is_ca":false},{"name":"Roozbeh Houshyar","is_ca":false},{"name":"Candice Kim","is_ca":false},{"name":"Chan Kyo Kim","is_ca":false},{"name":"Chandana Lall","is_ca":false},{"name":"Daniel Margolis","is_ca":false},{"name":"Stephen E. McRae","is_ca":false},{"name":"Aytekin Oto","is_ca":false},{"name":"Rosaleen B. Parsons","is_ca":false},{"name":"Nayana Patel","is_ca":false},{"name":"Peter A. Pinto","is_ca":false},{"name":"Thomas J. Polascik","is_ca":false},{"name":"Benjamin Spilseth","is_ca":false},{"name":"Juliana Starcevich","is_ca":false},{"name":"Varaha S. Tammisetti","is_ca":false},{"name":"Samir S. Taneja","is_ca":false},{"name":"Barış Türkbey","is_ca":false},{"name":"Sadhna Verma","is_ca":false},{"name":"John F. Ward","is_ca":false},{"name":"Christopher A. Warlick","is_ca":false},{"name":"A. Weinberger","is_ca":false},{"name":"Jinxing Yu","is_ca":false},{"name":"Ronald J. Zagoria","is_ca":false},{"name":"Andrew B. Rosenkrantz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02195444790714889,"gpt":0.2946757550091011,"spread":0.2727213071019522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01649453,0.0003529073,0.0004078458,0.001155764,0.0004111657,0.0009162225,0.000696689,0.0004641473,0.0007571385],"category_scores_gemma":[0.03553136,0.0004136519,0.0004777865,0.001398501,0.0006461691,0.0005479872,0.001245272,0.0003152472,0.0002955899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611613,"about_ca_system_score_gemma":0.0005618674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003764112,"about_ca_topic_score_gemma":0.004403895,"domain_scores_codex":[0.9850622,0.008736026,0.001189332,0.002109465,0.002307301,0.0005956115],"domain_scores_gemma":[0.9513217,0.02764631,0.01112979,0.003805966,0.004626764,0.001469522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008492823,0.00001531271,0.9974132,0.000005414538,0.00006723696,0.00002983537,0.0001357633,0.0001972557,0.000100693,0.000009447221,0.00009402133,0.001846778],"study_design_scores_gemma":[0.00001342582,0.0002215127,0.9970567,0.000007535093,0.00005024936,0.0002213029,0.0002713545,0.001489811,0.0003161012,0.00002188184,0.0003188506,0.0000112962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988317,0.0001441795,0.0004309928,0.00003216769,0.000004133827,0.00001584014,0.0002428576,0.00001041767,0.0002876458],"genre_scores_gemma":[0.9993957,0.00003491669,0.0002301427,0.00001283465,0.000005947604,0.00000901089,0.0002732702,0.000003571352,0.00003467151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01649453,"threshold_uncertainty_score":0.08723247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047596225","doi":"10.1148/radiol.2433060583","title":"Acute Cervical Traumatic Spinal Cord Injury: MR Imaging Findings Correlated with Neurologic Outcome—Prospective Study with 100 Consecutive Patients<sup>1</sup>","year":2007,"lang":"en","type":"article","venue":"Radiology","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":400,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Magnetic resonance imaging; Cord; Spinal cord injury; Spinal cord; Stenosis; Edema; Surgery; Repeated measures design; Lesion; Radiology","authors":[{"name":"Firoz Miyanji","is_ca":true},{"name":"Julio C. Furlan","is_ca":true},{"name":"Bizhan Aarabi","is_ca":false},{"name":"Paul M. Arnold","is_ca":false},{"name":"Michael G. Fehlings","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0306526136270481,"gpt":0.3645231006769296,"spread":0.3338704870498815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000474455,0.0004248964,0.0005137931,0.0007614027,0.0005966796,0.0006153079,0.0003169248,0.0007636201,0.001390413],"category_scores_gemma":[0.002872533,0.0004680108,0.000314351,0.000759895,0.0005916128,0.0005743886,0.0004760398,0.0005715766,0.0004905671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003632194,"about_ca_system_score_gemma":0.0003332623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401724,"about_ca_topic_score_gemma":0.002477503,"domain_scores_codex":[0.9995574,0.00008041263,0.00006577757,0.0001010083,0.0001133548,0.00008202367],"domain_scores_gemma":[0.9981824,0.0003809485,0.000760624,0.0001163575,0.0002375019,0.000322254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007346302,0.00003583243,0.9991334,0.000004111812,0.00001812885,0.0001875845,0.00004490499,0.00001739278,0.0001272814,0.000002622513,0.00002725384,0.0003279808],"study_design_scores_gemma":[0.00001382966,0.0003375016,0.9978482,0.000003821645,0.00001622189,0.00133554,0.0001596993,0.0001070223,0.00006709732,0.00000880478,0.00009702977,0.000005217755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996346,0.00007567753,0.00003781191,0.00001252366,0.000002766258,0.000009293882,0.0001044837,0.000001789418,0.0001210324],"genre_scores_gemma":[0.999521,0.00005073994,0.00005064586,0.00001881132,0.000009213002,0.00001593164,0.0002661919,0.000001242796,0.00006618916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002401724,"threshold_uncertainty_score":0.004775465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042640403","doi":"10.1148/radiol.10100708","title":"Quantification of Hepatic Steatosis with T1-independent, T2*-corrected MR Imaging with Spectral Modeling of Fat: Blinded Comparison with MR Spectroscopy","year":2011,"lang":"en","type":"article","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":385,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"In vivo magnetic resonance spectroscopy; Medicine; Nuclear medicine; Magnetic resonance imaging; Steatosis; Voxel; Nuclear magnetic resonance; Spectroscopy; Nuclear magnetic resonance spectroscopy; Radiology; Internal medicine; Physics","authors":[{"name":"Sina Meisamy","is_ca":false},{"name":"Catherine D. G. Hines","is_ca":true},{"name":"Gavin Hamilton","is_ca":true},{"name":"Claude B. Sirlin","is_ca":true},{"name":"Charles A. McKenzie","is_ca":true},{"name":"Huanzhou Yu","is_ca":true},{"name":"Jean H. Brittain","is_ca":true},{"name":"Scott B. Reeder","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03934993385105667,"gpt":0.2809782581923846,"spread":0.241628324341328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006660017,0.0005947239,0.0006099162,0.0008246994,0.0003672778,0.0007910033,0.0003865051,0.0006241963,0.0008614135],"category_scores_gemma":[0.0139541,0.0003096369,0.0002499474,0.0003265114,0.0006118174,0.0006016464,0.0004769305,0.0002444457,0.0004211056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199752,"about_ca_system_score_gemma":0.0004116291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001764567,"about_ca_topic_score_gemma":0.0003866013,"domain_scores_codex":[0.9971682,0.001449151,0.0003376488,0.0005347133,0.0004407493,0.00006952345],"domain_scores_gemma":[0.991901,0.002648902,0.002540292,0.001367677,0.00120268,0.0003393745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03689016,0.00144131,0.6176314,0.0008053652,0.0009586668,0.001086546,0.001126627,0.00589258,0.2144014,0.0004364424,0.0004060013,0.1189235],"study_design_scores_gemma":[0.002245217,0.02768274,0.7222797,0.0001490659,0.001243483,0.01233407,0.000664334,0.03748106,0.1913726,0.000888015,0.00332522,0.0003344794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845334,0.0005662008,0.01414741,0.00003271526,0.00002399705,0.0001468791,0.0001169102,0.00006380797,0.0003686875],"genre_scores_gemma":[0.9836988,0.0001223137,0.01569494,0.00003516348,0.00003146753,0.0001029004,0.0001308252,0.00002734401,0.0001561926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006660017,"threshold_uncertainty_score":0.03522193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107051779","doi":"10.1148/radiol.2361031674","title":"Idiopathic Interstitial Pneumonias: CT Features","year":2005,"lang":"en","type":"review","venue":"Radiology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":378,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Honeycombing; Cryptogenic Organizing Pneumonia; Pathology; Usual interstitial pneumonia; Interstitial lung disease; Idiopathic interstitial pneumonia; Ground-glass opacity; Reticular connective tissue; Bronchiectasis; Bronchiolitis obliterans organizing pneumonia; Lung; Bronchiolitis; Bronchiolitis obliterans; Respiratory system; Anatomy; Internal medicine","authors":[{"name":"David A. Lynch","is_ca":false},{"name":"William D. Travis","is_ca":false},{"name":"Néstor L. Müller","is_ca":true},{"name":"Jeffrey R. Galvin","is_ca":false},{"name":"David M. Hansell","is_ca":false},{"name":"Philippe Greniér","is_ca":false},{"name":"Talmadge E. King","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02927464109990058,"gpt":0.3403123845613428,"spread":0.3110377434614423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002172418,0.001181715,0.001328764,0.002804278,0.0001762483,0.0006400064,0.0006726944,0.0008178151,0.003572089],"category_scores_gemma":[0.0006851327,0.0002099329,0.0003286485,0.002248263,0.0003921315,0.000785028,0.0003921791,0.000742163,0.002955655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401037,"about_ca_system_score_gemma":0.0003864029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143316,"about_ca_topic_score_gemma":0.001515532,"domain_scores_codex":[0.9998075,0.00002929323,0.00002537374,0.00003579012,0.00007669649,0.00002521302],"domain_scores_gemma":[0.9996771,0.00007924651,0.00007391442,0.00001661419,0.0001127362,0.00004043788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009520234,0.00009795618,0.005780107,0.005684027,0.0001345464,0.01025206,0.0001501126,0.0004855036,0.006337811,0.001399577,0.06372267,0.9058604],"study_design_scores_gemma":[0.00007007164,0.00014297,0.0239619,0.005308954,0.0002374921,0.2395992,0.0002446102,0.0004927366,0.001944944,0.002597665,0.725345,0.00005437693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002559998,0.9792619,0.00157594,0.0005438789,0.0002722816,0.0000441286,0.000146217,0.00009927704,0.01549644],"genre_scores_gemma":[0.03439706,0.9530747,0.00236994,0.0009477228,0.001358066,0.00004309573,0.0004906973,0.00001344658,0.007305298],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003572089,"threshold_uncertainty_score":0.01194978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143595341","doi":"10.1148/radiol.2291020991","title":"Biphasic CT with Mesenteric CT Angiography in the Evaluation of Acute Mesenteric Ischemia: Initial Experience","year":2003,"lang":"en","type":"article","venue":"Radiology","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":371,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Health Sciences Centre; Manitoba Health","funders":"","keywords":"Medicine; Radiology; Superior mesenteric artery; Angiography; Maximum intensity projection; Mesenteric ischemia; Ischemia; Embolism; Surgery; Internal medicine","authors":[{"name":"Iain D. C. Kirkpatrick","is_ca":true},{"name":"Mervyn A. Kroeker","is_ca":false},{"name":"Howard M. Greenberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03535226896724883,"gpt":0.346006256248638,"spread":0.3106539872813892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002514893,0.0006132167,0.0003494849,0.0008701074,0.0003441997,0.0006380654,0.0005466494,0.001084365,0.00106468],"category_scores_gemma":[0.01516185,0.0005499321,0.0003478028,0.0004452282,0.0006961869,0.0008118714,0.0007176573,0.0007511296,0.0006106857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750627,"about_ca_system_score_gemma":0.0003318375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007664411,"about_ca_topic_score_gemma":0.0007003233,"domain_scores_codex":[0.9985753,0.0006040009,0.0001688533,0.0001650233,0.0002931426,0.0001936034],"domain_scores_gemma":[0.9965565,0.001451805,0.0003459345,0.0003775407,0.0004108981,0.000857232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001601067,0.0007391761,0.9370942,0.00007086981,0.00005963114,0.02402186,0.0006875078,0.0003817428,0.005259199,0.00007496087,0.000407776,0.02960205],"study_design_scores_gemma":[0.0008454759,0.01106022,0.6200238,0.0002426146,0.0002023318,0.3463334,0.001369135,0.006642289,0.008921145,0.0003142086,0.003941208,0.0001041463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962581,0.001368183,0.001110621,0.0001747642,0.00002580047,0.00003675557,0.00001641114,0.00001987191,0.0009894321],"genre_scores_gemma":[0.9986333,0.0002919652,0.0007706399,0.0001147839,0.00007202027,0.00001193326,0.00002948234,0.000004084482,0.00007178712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002514893,"threshold_uncertainty_score":0.01330024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2977601947","doi":"10.1148/radiol.2019191586","title":"Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement","year":2019,"lang":"en","type":"article","venue":"Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":367,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Alberta","funders":"","keywords":"Medicine; Transparency (behavior); Cornerstone; Informatics; Dignity; Harm; Radiology; Political science; Law","authors":[{"name":"J. Raymond Geis","is_ca":false},{"name":"Adrian P. Brady","is_ca":false},{"name":"Carol C. Wu","is_ca":false},{"name":"Jack Spencer","is_ca":false},{"name":"Erik Ranschaert","is_ca":false},{"name":"Jacob L. Jaremko","is_ca":true},{"name":"Steve G. Langer","is_ca":false},{"name":"Andrea Borondy Kitts","is_ca":false},{"name":"Judy Birch","is_ca":false},{"name":"William Shields","is_ca":false},{"name":"R. van den Hoven van Genderen","is_ca":false},{"name":"Elmar Kotter","is_ca":false},{"name":"Judy Wawira Gichoya","is_ca":false},{"name":"Tessa S. Cook","is_ca":false},{"name":"Matthew B. Morgan","is_ca":false},{"name":"An Tang","is_ca":true},{"name":"Nabile Safdar","is_ca":false},{"name":"Marc Kohli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1474693501437812,"gpt":0.3987601671631053,"spread":0.2512908170193242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08016651,0.001823411,0.001798152,0.004892386,0.005516944,0.01968248,0.003537558,0.02678791,0.005959295],"category_scores_gemma":[0.08859464,0.001258838,0.002011566,0.004577711,0.01510116,0.01169764,0.01112803,0.02748043,0.004900109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01096362,"about_ca_system_score_gemma":0.04108153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129911,"about_ca_topic_score_gemma":0.01233045,"domain_scores_codex":[0.9176528,0.02561942,0.01532345,0.004090307,0.03255225,0.004761736],"domain_scores_gemma":[0.8976439,0.04131088,0.006601109,0.004892507,0.04033482,0.009216726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001915833,0.00004357433,0.0003200265,0.0007022832,0.00001997992,0.0002449884,0.001539996,0.0003662377,0.0002270029,0.1728738,0.7722208,0.05142216],"study_design_scores_gemma":[0.000005117996,0.00001375277,0.0006232415,0.001659573,0.000008631896,0.0003320744,0.0003982787,0.0001479042,0.00006184015,0.01701554,0.9796892,0.00004493529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006913109,0.1004079,0.008566293,0.785477,0.05474866,0.0002756398,0.0003046917,0.0001585391,0.04937011],"genre_scores_gemma":[0.0357644,0.1569449,0.03023296,0.5841336,0.09986155,0.001581782,0.001296367,0.0006291977,0.08955529],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08016651,"threshold_uncertainty_score":0.4239661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081187499","doi":"10.1148/radiol.2281020874","title":"Radiation Exposure at Chest CT: A Statement of the Fleischner Society","year":2003,"lang":"en","type":"review","venue":"Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":359,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Radiation dose; Nuclear medicine; Radiation exposure; Medical physics; Radiation protection; Population; Medical radiation; Computed tomography; Radiology; Environmental health","authors":[{"name":"John R. Mayo","is_ca":true},{"name":"John E. Aldrich","is_ca":false},{"name":"Néstor L. Müller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03734288966735524,"gpt":0.334127517976513,"spread":0.2967846283091578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005970027,0.001108019,0.001289892,0.002878009,0.0006405333,0.001105655,0.001603354,0.004247482,0.002675168],"category_scores_gemma":[0.00611914,0.0005691712,0.0009163757,0.002529572,0.001399675,0.002228029,0.001123471,0.003621861,0.003275651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883838,"about_ca_system_score_gemma":0.00623939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005095944,"about_ca_topic_score_gemma":0.005417473,"domain_scores_codex":[0.9974967,0.0003784793,0.0008023526,0.0002209925,0.0009886909,0.0001126387],"domain_scores_gemma":[0.9941487,0.001573258,0.0009281833,0.0001613712,0.002873754,0.000314693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001145413,0.00006039609,0.00162198,0.008565885,0.00005891829,0.0005054342,0.0001522051,0.0002996023,0.002771847,0.004138328,0.256222,0.725489],"study_design_scores_gemma":[0.00001430839,0.0000603527,0.002734184,0.00422595,0.00005349202,0.001560309,0.00006858137,0.00006707311,0.0006276625,0.0009041853,0.9896622,0.00002166916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0005626708,0.9617079,0.000802887,0.0244727,0.006620865,0.00005002395,0.0001321099,0.00003185462,0.005619026],"genre_scores_gemma":[0.005552183,0.9705597,0.002626344,0.009798116,0.004503713,0.0001540433,0.0002914311,0.00002333411,0.006491296],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.005970027,"threshold_uncertainty_score":0.03157294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048640854","doi":"10.1148/radiol.2251011102","title":"Traumatic Pneumothorax Detection with Thoracic US: Correlation with Chest Radiography and CT—Initial Experience","year":2002,"lang":"en","type":"article","venue":"Radiology","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":353,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver Hospital and Health Sciences Centre","funders":"","keywords":"Medicine; Supine position; Pneumothorax; Radiography; Radiology; Thorax (insect anatomy); Predictive value; Positive predicative value; Predictive value of tests; Nuclear medicine; Surgery; Internal medicine","authors":[{"name":"Kevin Rowan","is_ca":true},{"name":"Andrew W. Kirkpatrick","is_ca":false},{"name":"David Liu","is_ca":false},{"name":"Kevin E. Forkheim","is_ca":false},{"name":"John R. Mayo","is_ca":false},{"name":"Savvas Nicolaou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03740855175519393,"gpt":0.3224997119427586,"spread":0.2850911601875647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911479,0.0003678486,0.0003763775,0.0006266425,0.0002454998,0.0006069738,0.0003251043,0.0005691919,0.001224126],"category_scores_gemma":[0.02636046,0.0003196939,0.0002448673,0.0003075342,0.0006363801,0.0008144982,0.0004118308,0.0006159783,0.000385827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233181,"about_ca_system_score_gemma":0.0002642721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008530802,"about_ca_topic_score_gemma":0.0006782063,"domain_scores_codex":[0.9981767,0.0007470334,0.0002246773,0.0002261624,0.0004723903,0.0001530372],"domain_scores_gemma":[0.9894261,0.005813662,0.001905675,0.0005709862,0.001364283,0.0009192069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002083128,0.00005510688,0.9948429,0.00001371667,0.00001594773,0.0004325533,0.00009109326,0.00008583788,0.00070485,0.000004797136,0.00005152973,0.003493301],"study_design_scores_gemma":[0.00004128592,0.003081313,0.970627,0.00003510004,0.00007807384,0.01973016,0.0004134315,0.001783945,0.003734018,0.00003054498,0.0004221328,0.00002301623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985021,0.0004268542,0.000435113,0.00003815442,0.00001032306,0.000018773,0.0000288655,0.000008553727,0.0005312801],"genre_scores_gemma":[0.9995205,0.00008082791,0.0002432688,0.00002233336,0.00001509668,0.000006463054,0.00005267363,0.000002088927,0.00005663681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001911479,"threshold_uncertainty_score":0.01010895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110445810","doi":"10.1148/radiol.2463070410","title":"Dedicated Breast CT: Initial Clinical Experience","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":349,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; University of California, Davis","keywords":"Medicine; Medical physics; Radiology; Breast imaging; Mammography; Breast cancer; Internal medicine; Cancer","authors":[{"name":"Karen K. Lindfors","is_ca":false},{"name":"John M. Boone","is_ca":false},{"name":"Thomas R. Nelson","is_ca":false},{"name":"Kai Yang","is_ca":false},{"name":"Alexander L. C. Kwan","is_ca":true},{"name":"D Miller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05141495319866804,"gpt":0.3607142214315464,"spread":0.3092992682328783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382373,0.0004256524,0.0003770241,0.0004622419,0.000329795,0.0006689114,0.0004130916,0.0005891569,0.003820593],"category_scores_gemma":[0.008106484,0.0002419944,0.0002418454,0.000478302,0.0005024662,0.0007788326,0.001053937,0.0004071147,0.001050697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218229,"about_ca_system_score_gemma":0.0003399317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004379149,"about_ca_topic_score_gemma":0.0008643978,"domain_scores_codex":[0.9987526,0.0004809856,0.0001085278,0.0002730686,0.0002058525,0.0001788801],"domain_scores_gemma":[0.9970612,0.0009729758,0.0003600035,0.0004475533,0.0002834782,0.0008747363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002448454,0.001815247,0.8394042,0.0002546119,0.0001286914,0.01341394,0.004025794,0.0007532378,0.01469111,0.000215171,0.003369258,0.1194803],"study_design_scores_gemma":[0.000306079,0.01294558,0.7889998,0.0001990336,0.0001706749,0.1696636,0.002985353,0.001774051,0.007000093,0.0004585076,0.01536552,0.000131815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954951,0.0009374293,0.0009880338,0.0001013255,0.00002188431,0.00006828515,0.00009526149,0.00004158643,0.002251229],"genre_scores_gemma":[0.9975691,0.000461467,0.000987002,0.0001531434,0.00004886184,0.00004069491,0.0002164214,0.00001974807,0.0005034253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003820593,"threshold_uncertainty_score":0.0127812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076450230","doi":"10.1148/radiol.14140754","title":"Accuracy of MR Imaging–estimated Proton Density Fat Fraction for Classification of Dichotomized Histologic Steatosis Grades in Nonalcoholic Fatty Liver Disease","year":2014,"lang":"en","type":"article","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":343,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research","keywords":"Medicine; Nonalcoholic fatty liver disease; Steatosis; Magnetic resonance imaging; Confidence interval; Fatty liver; Prospective cohort study; Nuclear medicine; Radiology; Internal medicine; Disease","authors":[{"name":"An Tang","is_ca":false},{"name":"Ajinkya Desai","is_ca":false},{"name":"Gavin Hamilton","is_ca":false},{"name":"Tanya Wolfson","is_ca":false},{"name":"Anthony Gamst","is_ca":false},{"name":"Jessica Lam","is_ca":false},{"name":"Lisa Clark","is_ca":false},{"name":"Jonathan Hooker","is_ca":false},{"name":"Tanya Chavez","is_ca":false},{"name":"Brandon Ang","is_ca":false},{"name":"Michael S. Middleton","is_ca":false},{"name":"Michael R. Peterson","is_ca":false},{"name":"Rohit Loomba","is_ca":false},{"name":"Claude B. Sirlin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04349880467332151,"gpt":0.3213234986771201,"spread":0.2778246940037986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059943,0.0006591634,0.0004755401,0.0009616443,0.0002429506,0.0009995188,0.0006172118,0.0008326708,0.0005495831],"category_scores_gemma":[0.02097077,0.0003153951,0.0004107718,0.0003109228,0.0005935958,0.0007232694,0.0005626247,0.0005031487,0.0003896369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577905,"about_ca_system_score_gemma":0.0002648581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225977,"about_ca_topic_score_gemma":0.001785352,"domain_scores_codex":[0.997617,0.001078676,0.0002539635,0.0005074599,0.000412234,0.0001307841],"domain_scores_gemma":[0.9910592,0.004293622,0.00211384,0.001021246,0.001100605,0.000411486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004126935,0.00003558821,0.9953102,0.00001555324,0.00008395094,0.00002406719,0.0000409209,0.0002683864,0.0003821943,0.00001467797,0.00007231083,0.003339419],"study_design_scores_gemma":[0.00006015147,0.0004085672,0.9887885,0.00003046564,0.0001564509,0.0006169628,0.0001168592,0.008490463,0.001017167,0.0001036108,0.0001945983,0.00001622091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980417,0.0004759683,0.0007801558,0.00005117516,0.00001766274,0.00001476611,0.0001475631,0.00001739891,0.0004535335],"genre_scores_gemma":[0.999411,0.00004779314,0.0003388545,0.00001566144,0.0000105613,0.000004090209,0.0001393879,0.000002125689,0.00003048973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0059943,"threshold_uncertainty_score":0.03170127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997449172","doi":"10.1148/radiol.2019192515","title":"Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the <i>Radiology</i> Editorial Board","year":2019,"lang":"en","type":"editorial","venue":"Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":334,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Cancer Research UK","keywords":"Medicine; General hospital; Library science; Radiology; Family medicine; Computer science","authors":[{"name":"David A. Bluemke","is_ca":true},{"name":"Linda Moy","is_ca":true},{"name":"Miriam A. Bredella","is_ca":true},{"name":"Kathryn J. Fowler","is_ca":true},{"name":"Vicky Goh","is_ca":true},{"name":"Elkan F. Halpern","is_ca":true},{"name":"Christopher P. Hess","is_ca":true},{"name":"Mark L. Schiebler","is_ca":true},{"name":"Clifford R. Weiss","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07186118850790842,"gpt":0.4365936879278374,"spread":0.364732499419929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05667542,0.00515476,0.007724416,0.01829502,0.004764352,0.02835901,0.005754553,0.01576304,0.01726734],"category_scores_gemma":[0.208878,0.002394049,0.00321089,0.006496069,0.004859607,0.01216445,0.005073385,0.02061422,0.02684028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004663031,"about_ca_system_score_gemma":0.01605093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871276,"about_ca_topic_score_gemma":0.006795369,"domain_scores_codex":[0.9403384,0.01536936,0.01654514,0.002348832,0.02411739,0.00128087],"domain_scores_gemma":[0.5982085,0.1441947,0.02730609,0.007675415,0.1951922,0.02742301],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002266516,0.00001133144,0.00003844177,0.0005073833,0.00001473973,0.00002788748,0.00003295115,0.00001250036,0.00004428062,0.0001369835,0.9841424,0.01500844],"study_design_scores_gemma":[0.00008880431,0.00005225018,0.0003478734,0.003631566,0.00007218837,0.0002472123,0.0001604047,0.0001508548,0.00008350368,0.002097578,0.9930012,0.00006658166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003962314,0.04418615,0.001112166,0.08314052,0.8691546,0.000235355,0.0001742208,0.0002744584,0.001682906],"genre_scores_gemma":[0.0003982347,0.03358465,0.00271843,0.05512147,0.9010578,0.0004329674,0.0002242047,0.0002649123,0.006197375],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9433246,"threshold_uncertainty_score":0.2997319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107881111","doi":"10.1148/radiol.2421060971","title":"Diagnostic Pathways in Acute Pulmonary Embolism: Recommendations of the PIOPED II Investigators","year":2007,"lang":"en","type":"article","venue":"Radiology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":331,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Medical school; Medical education","authors":[{"name":"Paul D. Stein","is_ca":false},{"name":"Pamela K. Woodard","is_ca":false},{"name":"John G. Weg","is_ca":false},{"name":"Thomas W. Wakefield","is_ca":false},{"name":"Victor F. Tapson","is_ca":false},{"name":"H. Dirk Sostman","is_ca":false},{"name":"Thomas A. Sos","is_ca":false},{"name":"Deborah A. Quinn","is_ca":false},{"name":"Kenneth V. Leeper","is_ca":false},{"name":"Russell D. Hull","is_ca":true},{"name":"Charles A. Hales","is_ca":false},{"name":"Alexander Gottschalk","is_ca":false},{"name":"Lawrence R. Goodman","is_ca":false},{"name":"Sarah Fowler","is_ca":false},{"name":"John D. Buckley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01843756155456407,"gpt":0.2693489887057804,"spread":0.2509114271512163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1174681,0.002031758,0.003824922,0.005705139,0.002392605,0.00603235,0.005072814,0.0103238,0.002015145],"category_scores_gemma":[0.2741171,0.001469862,0.003056419,0.00456428,0.002256299,0.004381498,0.004179598,0.01130684,0.001276645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005005724,"about_ca_system_score_gemma":0.02914302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005021815,"about_ca_topic_score_gemma":0.005503287,"domain_scores_codex":[0.9181652,0.0437451,0.02490514,0.002258201,0.009534108,0.001392247],"domain_scores_gemma":[0.7906052,0.0845438,0.02918302,0.005824797,0.07695447,0.01288865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004256867,0.0006929004,0.05065702,0.01763427,0.00226596,0.0008731163,0.001128395,0.004257509,0.0005995926,0.01539384,0.4904365,0.4118041],"study_design_scores_gemma":[0.02089713,0.002690441,0.04977182,0.1327866,0.0106851,0.002894162,0.003829388,0.01798947,0.002451927,0.05990852,0.6954319,0.0006634942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01086825,0.1118213,0.04790321,0.7726214,0.02060181,0.009981595,0.003745024,0.0004997979,0.02195766],"genre_scores_gemma":[0.08897269,0.09693247,0.4510566,0.2940325,0.02076998,0.02993715,0.008677009,0.0002777864,0.009343792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1174681,"threshold_uncertainty_score":0.6212383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138695773","doi":"10.1148/radiol.12111561","title":"A Systematic Review and Meta-Analysis of Diagnostic Performance of Imaging in Acute Cholecystitis","year":2012,"lang":"en","type":"review","venue":"Radiology","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":329,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Medicine; Cholescintigraphy; Confidence interval; Cochrane Library; Meta-analysis; Acute cholecystitis; Magnetic resonance imaging; Radiology; MEDLINE; Cholecystitis; Nuclear medicine; Internal medicine; Gallbladder; Scintigraphy","authors":[{"name":"Jordy J. S. Kiewiet","is_ca":false},{"name":"Marjolein M. N. Leeuwenburgh","is_ca":false},{"name":"Shandra Bipat","is_ca":false},{"name":"Patrick M. Bossuyt","is_ca":false},{"name":"Jaap Stoker","is_ca":false},{"name":"Marja A. Boermeester","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04241647841170651,"gpt":0.3346437449641296,"spread":0.292227266552423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0310022,0.003849871,0.02542716,0.01221861,0.0008620006,0.004055295,0.002768957,0.002818443,0.002975423],"category_scores_gemma":[0.1077021,0.002086514,0.03821571,0.01158824,0.001230647,0.002643987,0.001969212,0.002218497,0.0003216465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004330318,"about_ca_system_score_gemma":0.005592602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009136445,"about_ca_topic_score_gemma":0.01831439,"domain_scores_codex":[0.9623646,0.02333664,0.007900398,0.002827786,0.002948765,0.0006218845],"domain_scores_gemma":[0.9164974,0.0665751,0.01012932,0.002007525,0.00423457,0.000556007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001404291,0.00001871187,0.004769371,0.4004338,0.5818571,0.0001243455,0.00008058816,0.000523512,0.0001182763,0.0001314766,0.0005182964,0.01002024],"study_design_scores_gemma":[0.0005341312,0.0001848082,0.004381599,0.04133704,0.9516923,0.0001207302,0.00004032893,0.0002094375,0.00008972205,0.000198749,0.001186694,0.00002447352],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003156773,0.9953644,0.0003891122,0.0001652967,0.0001457471,0.0002230247,0.0003757859,0.00001826898,0.0001614614],"genre_scores_gemma":[0.1665091,0.8261943,0.003478371,0.0007603542,0.0004385828,0.00154763,0.0008247677,0.0000353261,0.0002115063],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0310022,"threshold_uncertainty_score":0.1639572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081772751","doi":"10.1148/radiol.13120816","title":"Interstitial Lung Abnormalities in a CT Lung Cancer Screening Population: Prevalence and Progression Rate","year":2013,"lang":"en","type":"article","venue":"Radiology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":328,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"National Cancer Institute; Chonbuk National University Hospital; Chonbuk National University","keywords":"Medicine; Lung cancer; Lung; Population; Radiology; Cancer; Lung cancer screening; Pathology; Oncology; Internal medicine; Environmental health","authors":[{"name":"Gong Yong Jin","is_ca":false},{"name":"David A. Lynch","is_ca":false},{"name":"Ashish Chawla","is_ca":false},{"name":"Kavita Garg","is_ca":false},{"name":"Martin C. Tammemägi","is_ca":true},{"name":"Hakan Şahin","is_ca":false},{"name":"Shigeki Misumi","is_ca":false},{"name":"Keun Sang Kwon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009037328989765895,"gpt":0.2968430425638168,"spread":0.2878057135740509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001595726,0.0002194812,0.0004668167,0.001614333,0.0002809929,0.0006777181,0.000600963,0.000655711,0.0009764434],"category_scores_gemma":[0.004902404,0.0002633247,0.0003603662,0.0009747536,0.0003251821,0.0007587962,0.000471661,0.000491772,0.0002255352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836002,"about_ca_system_score_gemma":0.000212339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665229,"about_ca_topic_score_gemma":0.002035986,"domain_scores_codex":[0.9987823,0.0003177752,0.0001285799,0.0003586097,0.0003097624,0.0001029237],"domain_scores_gemma":[0.9964448,0.0005833103,0.002155492,0.000258157,0.000354023,0.0002043782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006789157,0.00001661183,0.9987825,0.000005799865,0.00002181034,0.00005087924,0.00002612341,0.00002629377,0.0001052337,0.000005542362,0.00001874435,0.0008727399],"study_design_scores_gemma":[0.00000540332,0.000104225,0.9983746,0.000005849167,0.00002596487,0.000960604,0.00006538676,0.0003111406,0.0000775164,0.00001549152,0.00005045253,0.000003398047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990125,0.0003506147,0.0001411464,0.0000237763,0.000002130287,0.0000192872,0.0001929639,0.000006376916,0.0002512746],"genre_scores_gemma":[0.9994566,0.0001196492,0.0001076352,0.000008833021,0.000007626735,0.00001034308,0.0002276565,0.000001659693,0.00006007869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002665229,"threshold_uncertainty_score":0.008439064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2755909350","doi":"10.1148/radiol.2017170550","title":"Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis","year":2017,"lang":"en","type":"review","venue":"Radiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":326,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Health and Human Services","keywords":"Medicine; Nuclear medicine; Bland–Altman plot; Meta-analysis; Linearity; Magnetic resonance imaging; Limits of agreement; Linear regression; Publication bias; In vivo magnetic resonance spectroscopy; Nuclear magnetic resonance; Statistics; Radiology; Mathematics; Internal medicine; Physics","authors":[{"name":"Takeshi Yokoo","is_ca":false},{"name":"Suraj D. Serai","is_ca":false},{"name":"Ali Pirasteh","is_ca":false},{"name":"Mustafa R. Bashir","is_ca":false},{"name":"Gavin Hamilton","is_ca":false},{"name":"Diego Hernando","is_ca":false},{"name":"Peng Hu","is_ca":false},{"name":"Holger Hetterich","is_ca":false},{"name":"Jens‐Peter Kühn","is_ca":false},{"name":"G Kukuk","is_ca":false},{"name":"Rohit Loomba","is_ca":false},{"name":"Michael S. Middleton","is_ca":false},{"name":"Nancy A. Obuchowski","is_ca":false},{"name":"Ji Soo Song","is_ca":false},{"name":"An Tang","is_ca":true},{"name":"Xinhuai Wu","is_ca":false},{"name":"Scott B. Reeder","is_ca":false},{"name":"Claude B. Sirlin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4420485233657519,"gpt":0.4511696794130081,"spread":0.009121156047256163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.08248679,0.003922531,0.01761203,0.006586864,0.0009834657,0.005511208,0.003222665,0.003234587,0.002413726],"category_scores_gemma":[0.1495442,0.002239564,0.05226255,0.007462066,0.001677813,0.002987717,0.002294122,0.002277949,0.0003564845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017048,"about_ca_system_score_gemma":0.002379467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004090015,"about_ca_topic_score_gemma":0.005691531,"domain_scores_codex":[0.9216419,0.04443819,0.01770432,0.008824259,0.006372116,0.001019193],"domain_scores_gemma":[0.8274081,0.1381487,0.01947129,0.008918246,0.005628424,0.0004252903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001983881,0.00001770509,0.0182345,0.08261237,0.8873237,0.0001237055,0.00008632083,0.0009312885,0.0002446092,0.0002584339,0.0003189251,0.007864428],"study_design_scores_gemma":[0.000561518,0.0002477418,0.008282644,0.008613741,0.9796552,0.0001456984,0.00004153714,0.000595841,0.0002665855,0.0005957981,0.0009581627,0.00003552097],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0165746,0.9729376,0.007042994,0.0004643551,0.0004820358,0.0006370984,0.001040976,0.00009988742,0.0007204099],"genre_scores_gemma":[0.7070338,0.2672811,0.01567613,0.002235648,0.001152115,0.003807775,0.001803494,0.0002024371,0.0008077432],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.982388,"threshold_uncertainty_score":0.4362371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105215686","doi":"10.1148/radiology.215.1.r00ap08153","title":"Harmonic Hepatic US with Microbubble Contrast Agent: Initial Experience Showing Improved Characterization of Hemangioma, Hepatocellular Carcinoma, and Metastasis","year":2000,"lang":"en","type":"article","venue":"Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":321,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Vascularity; Mechanical index; Hepatocellular carcinoma; Hemangioma; Second-harmonic imaging microscopy; Metastasis; Radiology; Pathology; Nuclear medicine; Microbubbles; Ultrasound; Cancer; Internal medicine","authors":[{"name":"Stephanie R. Wilson","is_ca":true},{"name":"Peter N. Burns","is_ca":false},{"name":"Derek Muradali","is_ca":false},{"name":"Jessica A. Wilson","is_ca":false},{"name":"Xiaoming Lai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01082252283419176,"gpt":0.1990911757985293,"spread":0.1882686529643376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150494,0.000288404,0.0001521942,0.0003010451,0.0001449442,0.0001832935,0.0001420232,0.0002669712,0.001080799],"category_scores_gemma":[0.001923145,0.0001196845,0.00009473414,0.0001394732,0.0004301491,0.0002968139,0.0001738832,0.0001729201,0.000298557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645952,"about_ca_system_score_gemma":0.0001239414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004724219,"about_ca_topic_score_gemma":0.0005892824,"domain_scores_codex":[0.9998376,0.00005714292,0.00001050874,0.00003553862,0.00003032798,0.00002888008],"domain_scores_gemma":[0.9994701,0.0002730423,0.00006694948,0.00004759506,0.00004215281,0.0001001773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002189336,0.0005033353,0.8221248,0.0001928504,0.00006466274,0.005968919,0.0009083351,0.0003220811,0.07263651,0.000101208,0.0003675705,0.09462028],"study_design_scores_gemma":[0.0003066448,0.009366305,0.8711387,0.00003003459,0.000159418,0.06579833,0.0004372598,0.001700962,0.04773622,0.0001389656,0.003149649,0.00003749587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977387,0.0009611249,0.0008791725,0.00003345571,0.000002731381,0.000008101973,0.00000895845,0.00001189187,0.0003559148],"genre_scores_gemma":[0.9990265,0.0002458975,0.0005548059,0.00003184376,0.00001300835,0.000002973819,0.00002455669,0.000002454029,0.0000979382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001080799,"threshold_uncertainty_score":0.003615677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2769505173","doi":"10.1148/radiol.2017170554","title":"Evidence Supporting LI-RADS Major Features for CT- and MR Imaging–based Diagnosis of Hepatocellular Carcinoma: A Systematic Review","year":2017,"lang":"en","type":"review","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":321,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; American Association for the Study of Liver Diseases","keywords":"Medicine; Malignancy; Hepatocellular carcinoma; Radiology; Multiparametric MRI; MEDLINE; Medical physics; Prostate; Cancer; Pathology; Internal medicine","authors":[{"name":"An Tang","is_ca":true},{"name":"Mustafa R. Bashir","is_ca":false},{"name":"Michael T. Corwin","is_ca":false},{"name":"Irene Cruite","is_ca":false},{"name":"Christoph F. Dietrich","is_ca":false},{"name":"Richard Kinh Gian","is_ca":false},{"name":"Eric C. Ehman","is_ca":false},{"name":"Kathryn J. Fowler","is_ca":false},{"name":"Hero K. Hussain","is_ca":false},{"name":"Reena Jha","is_ca":false},{"name":"Adib R. Karam","is_ca":false},{"name":"Adrija Mamidipalli","is_ca":false},{"name":"Robert M. Marks","is_ca":false},{"name":"Donald G. Mitchell","is_ca":false},{"name":"Tara A. Morgan","is_ca":false},{"name":"Michael A. Ohliger","is_ca":false},{"name":"Amol Shah","is_ca":false},{"name":"Kim‐Nhien Vu","is_ca":true},{"name":"Claude B. Sirlin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1573320576022635,"gpt":0.3644709523949088,"spread":0.2071388947926453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00457763,0.001010381,0.005398258,0.004879322,0.0003653992,0.001498923,0.001338214,0.00127915,0.004499516],"category_scores_gemma":[0.02610396,0.0006258815,0.007788038,0.005568636,0.0005222288,0.001252801,0.0008689149,0.001025982,0.0003221483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707646,"about_ca_system_score_gemma":0.003552428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006867729,"about_ca_topic_score_gemma":0.02258958,"domain_scores_codex":[0.996945,0.001068032,0.001080807,0.0003251346,0.0004767792,0.0001043298],"domain_scores_gemma":[0.9801768,0.01547177,0.002874195,0.0002113209,0.001103116,0.0001628172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0008335587,0.00002693015,0.004336763,0.8631486,0.03350561,0.00008744931,0.0001024279,0.0001937175,0.0001710627,0.0002847948,0.003850537,0.09345857],"study_design_scores_gemma":[0.0008493974,0.0003639715,0.02231684,0.6020305,0.3429303,0.0006957377,0.0002291108,0.0002309554,0.0002510286,0.0007860895,0.02923487,0.00008115742],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006172227,0.9986655,0.00004866729,0.0001436162,0.00004075316,0.00003273475,0.0002892058,0.000003069204,0.0001592425],"genre_scores_gemma":[0.0182402,0.980615,0.0003045491,0.0003044757,0.00007923876,0.00008359484,0.0003053999,0.000002579437,0.00006502108],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006867729,"threshold_uncertainty_score":0.02420914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107429911","doi":"10.1148/radiol.2362041987","title":"Triad of MR Arthrographic Findings in Patients with Cam-Type Femoroacetabular Impingement","year":2005,"lang":"en","type":"article","venue":"Radiology","topic":"Hip disorders and treatments","field":"Medicine","cited_by":320,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Femoroacetabular impingement; Magnetic resonance imaging; Cartilage; Radiology; Abnormality; Anatomy","authors":[{"name":"Ara Kassarjian","is_ca":false},{"name":"Luke Yoon","is_ca":false},{"name":"Étienne L. Belzile","is_ca":true},{"name":"Susan A. Connolly","is_ca":false},{"name":"Michael B. Millis","is_ca":false},{"name":"William E. Palmer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008227974895850525,"gpt":0.2429929595074698,"spread":0.2347649846116193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006031995,0.0005280104,0.0005251935,0.001928645,0.0003895365,0.0005651808,0.0003396141,0.0007605626,0.002766498],"category_scores_gemma":[0.005613315,0.0003687067,0.0002794027,0.000728303,0.0005835585,0.0007016329,0.0005681967,0.0003770706,0.0005432438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981417,"about_ca_system_score_gemma":0.0001960469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004968105,"about_ca_topic_score_gemma":0.0005815612,"domain_scores_codex":[0.9993773,0.0001292205,0.0001293959,0.0001317252,0.0001181871,0.0001141956],"domain_scores_gemma":[0.9967563,0.0008324274,0.001496791,0.0001574642,0.0002620408,0.0004950432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001568418,0.00001822093,0.9946892,0.00001553622,0.0000148827,0.002985018,0.00005618541,0.0000260523,0.0007208359,0.000009281274,0.00007173527,0.001236198],"study_design_scores_gemma":[0.00002255991,0.0002628789,0.946448,0.00001656621,0.00002098612,0.05235229,0.0003085279,0.0001184199,0.0002369447,0.00002414829,0.0001807303,0.000007921705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991121,0.0003673132,0.00007535545,0.00002922641,0.000006332311,0.000007420221,0.00006598595,0.00000567281,0.0003306079],"genre_scores_gemma":[0.9996136,0.00007811331,0.0001018523,0.0000207525,0.00002527963,0.000005541274,0.0001145151,0.000001527886,0.00003887181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002766498,"threshold_uncertainty_score":0.009254813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144511843","doi":"10.1148/radiol.14140296","title":"Accuracy, Precision, and Reproducibility of Four T1 Mapping Sequences: A Head-to-Head Comparison of MOLLI, ShMOLLI, SASHA, and SAPPHIRE","year":2014,"lang":"en","type":"article","venue":"Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":314,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Reproducibility; Medicine; Imaging phantom; Nuclear medicine; Biomedical engineering; Wilcoxon signed-rank test; Accuracy and precision; Mathematics; Internal medicine; Statistics; Mann–Whitney U test","authors":[{"name":"Sébastien Roujol","is_ca":false},{"name":"Sebastian Weingärtner","is_ca":false},{"name":"Murilo Foppa","is_ca":false},{"name":"Kelvin Chow","is_ca":true},{"name":"Keigo Kawaji","is_ca":false},{"name":"Long Ngo","is_ca":false},{"name":"Peter Kellman","is_ca":false},{"name":"Warren J. Manning","is_ca":false},{"name":"Richard B. Thompson","is_ca":true},{"name":"Reza Nezafat","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05731095510446878,"gpt":0.3544387207117444,"spread":0.2971277656072757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004765178,0.0006253839,0.0005245889,0.0006374703,0.0002993011,0.000693579,0.0005383096,0.000673427,0.0006535925],"category_scores_gemma":[0.01290528,0.0004228349,0.0002867231,0.0003009306,0.0005737708,0.0005827222,0.0004196431,0.0003649437,0.0003449236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002841,"about_ca_system_score_gemma":0.0004042271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282267,"about_ca_topic_score_gemma":0.00219315,"domain_scores_codex":[0.9977889,0.0009358615,0.0001203001,0.0005977628,0.0004746004,0.00008264893],"domain_scores_gemma":[0.9914315,0.00467516,0.001017826,0.000925965,0.001704794,0.0002448484],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03211442,0.0004233359,0.1881801,0.0008314375,0.001731247,0.0003928045,0.001460523,0.004715054,0.5778191,0.0003242135,0.0008879143,0.1911197],"study_design_scores_gemma":[0.0007283732,0.01619297,0.6273288,0.0001059889,0.001731954,0.003944423,0.0005134048,0.02862169,0.3175803,0.0004226495,0.002567563,0.0002619541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974844,0.00187384,0.02191157,0.00006161564,0.00004114888,0.00005523301,0.0001662907,0.0003649654,0.0006812029],"genre_scores_gemma":[0.979889,0.0004358466,0.01863178,0.00009287802,0.00003595519,0.00005028915,0.0002819138,0.0001472975,0.0004350314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952348,"threshold_uncertainty_score":0.02520102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157921636","doi":"10.1148/radiol.2443061520","title":"Enhancement Patterns of Hepatocellular Carcinoma at Contrast-enhanced US: Comparison with Histologic Differentiation","year":2007,"lang":"en","type":"article","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":308,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; HCCS; Washout; Hypervascularity; Hepatocellular carcinoma; Carcinoma; Radiology; Pathology; Nuclear medicine; Internal medicine","authors":[{"name":"Hyun‐Jung Jang","is_ca":true},{"name":"Tae Kyoung Kim","is_ca":true},{"name":"Peter N. Burns","is_ca":true},{"name":"Stephanie R. Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03672587695550381,"gpt":0.2508115967338693,"spread":0.2140857197783655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006127803,0.0002293475,0.0001921467,0.001064922,0.0001251447,0.0003301531,0.000179079,0.0002880407,0.00139046],"category_scores_gemma":[0.003555677,0.0001650598,0.0001612682,0.0004413453,0.0003713532,0.0004985534,0.0003122158,0.0001395812,0.0004351514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539034,"about_ca_system_score_gemma":0.0001217307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003425781,"about_ca_topic_score_gemma":0.0003607429,"domain_scores_codex":[0.9996947,0.0000765837,0.00005475012,0.00004670658,0.00007226237,0.00005511946],"domain_scores_gemma":[0.9981536,0.0005289384,0.0007393204,0.0001069382,0.0002204563,0.0002506946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003240795,0.00001554492,0.9957629,0.000009719814,0.0000148995,0.000477475,0.00003820406,0.00003814504,0.001459875,0.000009464874,0.0000149821,0.001834636],"study_design_scores_gemma":[0.00001880094,0.0003740928,0.9908863,0.000006996408,0.00002866175,0.00712653,0.0001555532,0.0002099631,0.001013973,0.0000197119,0.0001543711,0.000004957914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994774,0.0001450643,0.00009674118,0.00000516518,0.000001356233,0.000005652071,0.00002669502,0.000002233912,0.000239763],"genre_scores_gemma":[0.9997619,0.00004016297,0.00008173992,0.000004051213,0.000003510007,0.000003199521,0.00005346003,0.000001143372,0.00005102077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00139046,"threshold_uncertainty_score":0.004651546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114873091","doi":"10.1148/radiol.10091982","title":"Endovascular Treatment of Intracranial Unruptured Aneurysms: Systematic Review and Meta-Analysis of the Literature on Safety and Efficacy","year":2010,"lang":"en","type":"review","venue":"Radiology","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":294,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Hôpital Notre-Dame","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Observational study; Confidence interval; Digital subtraction angiography; Cochrane Library; Systematic review; Meta-analysis; MEDLINE; Modified Rankin Scale; Surgery; Internal medicine; Angiography","authors":[{"name":"Olivier Naggara","is_ca":true},{"name":"Phil White","is_ca":false},{"name":"F Guilbert","is_ca":true},{"name":"Daniel Roy","is_ca":true},{"name":"Alain Weill","is_ca":true},{"name":"Jean Raymond","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03645344699547563,"gpt":0.3129464677406587,"spread":0.2764930207451831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0266497,0.002751237,0.02055196,0.00830644,0.0006016438,0.002890829,0.00206576,0.002348798,0.002756057],"category_scores_gemma":[0.08654213,0.001698401,0.02810653,0.008313069,0.0009958252,0.001825213,0.00133907,0.001601069,0.000271428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600164,"about_ca_system_score_gemma":0.005323056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005192437,"about_ca_topic_score_gemma":0.01099596,"domain_scores_codex":[0.9752182,0.0135926,0.006906102,0.001846038,0.00203629,0.0004006891],"domain_scores_gemma":[0.9307312,0.05260086,0.01108094,0.00137475,0.00376308,0.0004491173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001516785,0.00003223286,0.004804092,0.4918995,0.486028,0.0001411087,0.0001142709,0.0004133407,0.0001739323,0.0001024038,0.0005135842,0.01426071],"study_design_scores_gemma":[0.0006461157,0.0002848796,0.00506937,0.05549786,0.9363404,0.0001612207,0.00005572554,0.0001666293,0.0001439343,0.0001561255,0.001452201,0.00002547865],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004344505,0.9940946,0.0004642069,0.0002035404,0.0001265241,0.0002268476,0.0003767975,0.00001325432,0.0001498845],"genre_scores_gemma":[0.1281951,0.8659509,0.002677051,0.0007423944,0.0003584416,0.001275329,0.000627558,0.00002136709,0.0001518916],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0266497,"threshold_uncertainty_score":0.1409388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991064064","doi":"10.1148/radiol.10100655","title":"Risk of Radiation-induced Breast Cancer from Mammographic Screening","year":2010,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":292,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Mammography; Breast cancer; Oncology; Cancer; Gynecology; Radiology; Medical physics; Internal medicine","authors":[{"name":"Martin J. Yaffe","is_ca":true},{"name":"James G. Mainprize","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007583263961102696,"gpt":0.2517256480547311,"spread":0.2441423840936284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002991628,0.0003951849,0.0003275793,0.0007719414,0.0001156769,0.000551582,0.0006527359,0.0005162063,0.001233368],"category_scores_gemma":[0.01144564,0.0002210298,0.0007278232,0.0003620802,0.0002606316,0.0004496068,0.0004113766,0.0003841496,0.0003280872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007377094,"about_ca_system_score_gemma":0.0007781961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587187,"about_ca_topic_score_gemma":0.002241313,"domain_scores_codex":[0.9986764,0.0006508377,0.00006460975,0.0001619658,0.0003926244,0.00005354549],"domain_scores_gemma":[0.9963192,0.002129265,0.0007666509,0.0003644597,0.0003397334,0.00008078014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007471593,0.0001601856,0.6246774,0.000319347,0.000598077,0.0002458198,0.0001262427,0.3162365,0.004756271,0.003673756,0.0005952586,0.04786397],"study_design_scores_gemma":[0.0001094782,0.001722755,0.3647735,0.0002446362,0.0006303558,0.003232359,0.0001439624,0.6055045,0.01088415,0.008146025,0.004526018,0.00008236987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330294,0.002201948,0.1577964,0.0005201805,0.00002920481,0.0002932859,0.001583654,0.0003543024,0.00419151],"genre_scores_gemma":[0.9740036,0.0004409704,0.02381801,0.00006659187,0.00001000136,0.00008102234,0.0008529212,0.0000153826,0.0007115045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002991628,"threshold_uncertainty_score":0.01582146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131358222","doi":"10.1148/radiol.14140245","title":"Alzheimer Disease in a Mouse Model: MR Imaging–guided Focused Ultrasound Targeted to the Hippocampus Opens the Blood-Brain Barrier and Improves Pathologic Abnormalities and Behavior","year":2014,"lang":"en","type":"article","venue":"Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":290,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Medicine; Hippocampus; Magnetic resonance imaging; Ultrasound; Pathology; Nuclear medicine; Radiology; Internal medicine","authors":[{"name":"Alison Burgess","is_ca":true},{"name":"Sonam Dubey","is_ca":true},{"name":"Sharon Yeung","is_ca":true},{"name":"Olivia Hough","is_ca":true},{"name":"Naomi Eterman","is_ca":true},{"name":"Isabelle Aubert","is_ca":true},{"name":"Kullervo Hynynen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01048415988465327,"gpt":0.2243024060324265,"spread":0.2138182461477733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005685661,0.001727814,0.001206836,0.001322707,0.0004045789,0.0005112572,0.0006985551,0.001184107,0.001981195],"category_scores_gemma":[0.0001969028,0.0005227083,0.0007529294,0.000431684,0.0007256202,0.0007418059,0.0003255053,0.002091343,0.0007302138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921452,"about_ca_system_score_gemma":0.0004024866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006682678,"about_ca_topic_score_gemma":0.00122643,"domain_scores_codex":[0.9995327,0.00005081661,0.0000724518,0.000150556,0.0001100026,0.00008355182],"domain_scores_gemma":[0.9995869,0.00002540235,0.000176446,0.00004995796,0.00005128216,0.0001100408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004461804,0.0003550439,0.0001334309,0.00005560518,0.00001235015,0.00007540102,0.00002586838,0.00003018056,0.9978027,0.00004237592,0.00007504634,0.0009458214],"study_design_scores_gemma":[0.0004192459,0.009550672,0.006393276,0.0000535175,0.0002388278,0.001160555,0.00009999977,0.001057214,0.9780542,0.0001287942,0.002817247,0.00002645239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862567,0.003218295,0.006834525,0.0004213444,0.0002164031,0.0002310426,0.0008458633,0.0005959544,0.001379846],"genre_scores_gemma":[0.9532514,0.006018267,0.02180521,0.0004687201,0.0001520212,0.00105263,0.002155297,0.0001971375,0.01489935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001981195,"threshold_uncertainty_score":0.006627798,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098892823","doi":"10.1148/radiol.2313030676","title":"Chemical Shift MR Imaging of Hyperattenuating (&gt;10 HU) Adrenal Masses: Does It Still Have a Role?","year":2004,"lang":"en","type":"article","venue":"Radiology","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":280,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Adenoma; Magnetic resonance imaging; Nuclear medicine; Adrenal adenoma; Radiology; Adrenocortical adenoma; Attenuation; Pathology","authors":[{"name":"Masoom A. Haider","is_ca":true},{"name":"Sangeet Ghai","is_ca":true},{"name":"Kartik Jhaveri","is_ca":true},{"name":"Gina Lockwood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009488900864833477,"gpt":0.2617791443480451,"spread":0.2522902434832116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001392624,0.0004269309,0.0002740089,0.0006913297,0.0001451165,0.0005687089,0.0004099942,0.0009112643,0.001229092],"category_scores_gemma":[0.00687591,0.0002135253,0.0001431757,0.0002948385,0.0008908224,0.0009362092,0.0001172976,0.0002643396,0.0006835053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456913,"about_ca_system_score_gemma":0.0003703228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006873223,"about_ca_topic_score_gemma":0.000954562,"domain_scores_codex":[0.9997144,0.00008790919,0.00003323736,0.00003587396,0.00009257359,0.00003593357],"domain_scores_gemma":[0.9960473,0.001433717,0.001525732,0.0001185656,0.0004967061,0.0003779319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001230591,0.0001652084,0.9274594,0.0003037752,0.00005766766,0.005338476,0.000128236,0.0002474371,0.02043639,0.000116189,0.0003412098,0.04417546],"study_design_scores_gemma":[0.000112712,0.003197419,0.9065045,0.0001687917,0.0001959874,0.07667191,0.0003745012,0.001636663,0.008115935,0.0001604481,0.002828553,0.00003242472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840037,0.01352289,0.0005500885,0.0004009253,0.00003339765,0.00002185031,0.00002227285,0.00002123852,0.001423566],"genre_scores_gemma":[0.9971865,0.001719142,0.000693095,0.0001069487,0.0001252631,0.000004232171,0.00002697856,0.000003893946,0.0001340245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001392624,"threshold_uncertainty_score":0.007364929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114303309","doi":"10.1148/radiol.2281012163","title":"MR Imaging–guided Focused US Ablation of Breast Cancer: Histopathologic Assessment of Effectiveness—Initial Experience","year":2003,"lang":"en","type":"article","venue":"Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":279,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Hôpital Saint-Luc; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Ablation; Breast cancer; Magnetic resonance imaging; Radiology; Cancer; Tumor ablation; Breast tumor; Nuclear medicine; Internal medicine","authors":[{"name":"David Gianfelice","is_ca":true},{"name":"Abdesslem Khiat","is_ca":true},{"name":"Mourad Amara","is_ca":false},{"name":"Assia Belblidia","is_ca":false},{"name":"Yvan Boulanger","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.012556865833872,"gpt":0.2855013726722754,"spread":0.2729445068384034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001114335,0.0003327854,0.0003169792,0.0003541393,0.000226902,0.0002305111,0.0003041789,0.0003732031,0.0006512394],"category_scores_gemma":[0.00375968,0.0001600396,0.0003293272,0.0001875127,0.0004231292,0.0003459586,0.0002399066,0.0002750913,0.0002231726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002503347,"about_ca_system_score_gemma":0.0001243395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003628636,"about_ca_topic_score_gemma":0.0004225301,"domain_scores_codex":[0.999404,0.0003018324,0.00005483691,0.0000792346,0.0001016169,0.00005858904],"domain_scores_gemma":[0.9989454,0.0004604834,0.0002003461,0.0001521479,0.0001429454,0.00009877686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008316382,0.004049889,0.560283,0.0004205052,0.0005161275,0.01244592,0.003508997,0.002629712,0.1482346,0.000155317,0.0006365446,0.258803],"study_design_scores_gemma":[0.001091916,0.08224842,0.7585589,0.00008376085,0.0006769263,0.07309024,0.001473074,0.003287565,0.07342506,0.0001681083,0.005776837,0.0001192578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979104,0.001012919,0.0005209013,0.00003004279,0.000004588903,0.00001500574,0.000009016309,0.000009030662,0.000487962],"genre_scores_gemma":[0.998781,0.000457975,0.0005199737,0.00004882313,0.00003745821,0.000008162628,0.00003136815,0.00000498853,0.0001101536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001114335,"threshold_uncertainty_score":0.00589323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}