{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3172,"total_is_capped":false,"direct_labels_cover":6,"predictions_cover":3172,"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"},"query_hash":"fc32e973c807","filters":{"topic":"Cardiac Imaging and Diagnostics"}},"results":[{"id":"W2124624517","doi":"10.1016/j.echo.2014.10.003","title":"Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging","year":2015,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":18040,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of Toronto; Jewish General Hospital","funders":"","keywords":"Medicine; Medical physics; Clinical Practice; Cardiology; Internal medicine; Family medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01501595640119328,"gpt":0.2637126082130491,"spread":0.2486966518118559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.009036756,0.0003742006,0.002123874,0.0002724689,0.0001973697,0.00005663663,0.0005080974,0.00006912102,4.621348e-7],"category_scores_gemma":[0.0004315002,0.0002395081,0.009993518,0.003244476,0.002175215,0.0002556671,0.0001379878,0.0005750186,2.539981e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188054,"about_ca_system_score_gemma":0.0001433552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152893,"about_ca_topic_score_gemma":0.000001944729,"domain_scores_codex":[0.9945835,0.001990586,0.001333553,0.0004175736,0.001268815,0.0004060013],"domain_scores_gemma":[0.9922299,0.001523084,0.003347616,0.001233158,0.001474585,0.0001917039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005529157,0.0001655331,0.8372979,0.00006496715,0.01047487,6.383598e-7,0.002714345,0.0006268107,0.0005034542,0.00001308944,0.1329136,0.0146719],"study_design_scores_gemma":[0.007680277,0.0004185892,0.9220641,0.0006664782,0.007064446,0.00001191101,0.02961382,0.0007152696,0.0007973138,0.0006007173,0.02992891,0.0004381445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398409,0.01884829,0.01845231,0.01838533,0.0008982172,0.001772827,0.001502072,0.00005039125,0.0002496476],"genre_scores_gemma":[0.9655387,0.02314972,0.009326369,0.001329641,0.0004720953,0.00003018892,0.00008059166,0.00007023802,0.000002470958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029847,"threshold_uncertainty_score":0.9999211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804047627","doi":"10.1109/tmi.2018.2837502","title":"Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2256,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"British Heart Foundation","keywords":"Artificial intelligence; Deep learning; Computer science; Segmentation; Task (project management); Machine learning; Fully automatic; Automation; Medical imaging; Magnetic resonance imaging; Pattern recognition (psychology); Image segmentation; Medicine; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.01259968876712274,"gpt":0.3087271626040086,"spread":0.2961274738368858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708991,0.0001905109,0.0002753878,0.0001247851,0.0004903939,0.00007570654,0.00007713372,0.00008513255,0.0001094474],"category_scores_gemma":[0.0001530929,0.0001380089,0.0001725643,0.0001520324,0.0004050552,0.0001055899,0.000003095048,0.0004420241,0.00001063207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006242543,"about_ca_system_score_gemma":0.0000739298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006651763,"about_ca_topic_score_gemma":0.000009055619,"domain_scores_codex":[0.998597,0.00008507572,0.0002808755,0.0003095517,0.0004298495,0.0002976303],"domain_scores_gemma":[0.9986457,0.0007388317,0.00006749239,0.0001962032,0.0001513283,0.0002004739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004222769,0.0001455863,0.008008601,0.000238728,0.0001978105,0.0000111754,0.003291693,0.00003772682,0.001156198,0.00001540731,0.003551883,0.983303],"study_design_scores_gemma":[0.007708491,0.001074676,0.01739213,0.00314464,0.003921799,0.000535898,0.008542571,0.460918,0.456652,0.001076387,0.03765931,0.001374041],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00616246,0.0007181805,0.9823298,0.008835263,0.0004705064,0.0009728287,0.00001325252,0.00035331,0.0001444338],"genre_scores_gemma":[0.9140616,0.0007480669,0.07914477,0.004444388,0.0005142431,0.0008866909,0.00001204641,0.00006188017,0.0001263232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9819289,"threshold_uncertainty_score":0.5627838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132259559","doi":"10.1056/nejmoa0806576","title":"Diagnostic Performance of Coronary Angiography by 64-Row CT","year":2008,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1816,"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":"National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Medicine; Angiography; Receiver operating characteristic; Radiology; Coronary artery disease; Predictive value of tests; Coronary angiography; Computed tomographic angiography; Confidence interval; Revascularization; Internal medicine; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.01164476806466986,"gpt":0.243157991196371,"spread":0.2315132231317011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005161641,0.0001553573,0.000655155,0.0003087943,0.00004763236,0.000002216267,0.00009936526,0.00003546616,0.0001332862],"category_scores_gemma":[0.001644174,0.0001057649,0.0002419828,0.0003227838,0.0002798517,0.00008407849,0.00001576295,0.000340202,0.000004460254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002339508,"about_ca_system_score_gemma":0.0001806534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009129082,"about_ca_topic_score_gemma":8.398796e-7,"domain_scores_codex":[0.9984086,0.00004922155,0.0005841157,0.0001057219,0.000647533,0.0002048344],"domain_scores_gemma":[0.9977263,0.001103313,0.0003211381,0.0001886869,0.000286905,0.0003737162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004519653,0.0001206927,0.7958194,0.00006864229,0.0001855872,0.001238514,0.000460623,0.00003398704,0.001281402,0.000003998984,0.1649261,0.03540914],"study_design_scores_gemma":[0.04660091,0.004475624,0.858963,0.001858127,0.0009152763,0.02785496,0.0001240213,0.00004193106,0.001864279,0.00004201476,0.05709852,0.0001613154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578672,0.03636869,0.0001935586,0.003328983,0.0007168989,0.0001024559,0.00000690922,0.00001375069,0.001401559],"genre_scores_gemma":[0.9883384,0.00812006,0.0003236098,0.000621343,0.002342638,7.537935e-7,0.0000136646,0.00001875413,0.0002208095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1078275,"threshold_uncertainty_score":0.4312966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133304247","doi":"10.1016/j.echo.2014.07.012","title":"Expert Consensus for Multimodality Imaging Evaluation of Adult Patients during and after Cancer Therapy: A Report from the American Society of Echocardiography and the European Association of Cardiovascular Imaging","year":2014,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1783,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital; McMaster University","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Medicine; Trastuzumab; Cancer; Multimodality; Internal medicine; Cardiotoxicity; Chemotherapy; Oncology; Radiology; Breast cancer","retraction":null,"screen_n_in":null,"score":{"opus":0.009642680030293761,"gpt":0.270059622676199,"spread":0.2604169426459052,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005999007,0.0002428643,0.001400611,0.0000935228,0.0001428401,0.00002216568,0.0001971428,0.00002959105,5.486295e-7],"category_scores_gemma":[0.000755428,0.0001433102,0.00517348,0.0007242614,0.00201164,0.00007170359,0.00009865745,0.0002908866,1.409252e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008058896,"about_ca_system_score_gemma":0.00009583741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002529292,"about_ca_topic_score_gemma":0.000001532096,"domain_scores_codex":[0.9958763,0.001276984,0.0009588172,0.0002732847,0.001380594,0.0002340527],"domain_scores_gemma":[0.9920416,0.001227442,0.003435206,0.0006716547,0.002549597,0.00007443545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000508029,0.00007151495,0.9604918,0.00006717211,0.007136215,5.305153e-7,0.00218083,0.000334923,0.001390734,4.124326e-7,0.002460566,0.02535731],"study_design_scores_gemma":[0.006458453,0.00007857,0.9827973,0.0003563389,0.003682106,0.00001202414,0.003438441,0.001290307,0.001342156,0.0001051472,0.0003028949,0.000136237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877053,0.008003407,0.001304247,0.001975065,0.0001730251,0.0006515861,0.0001297133,0.000008634624,0.00004902546],"genre_scores_gemma":[0.988331,0.007357674,0.003159954,0.0007945488,0.0002851601,0.00003050251,0.000004299724,0.00003613926,7.50767e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02522107,"threshold_uncertainty_score":0.7411971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125741545","doi":"10.1161/circulationaha.107.743963","title":"Optimal Medical Therapy With or Without Percutaneous Coronary Intervention to Reduce Ischemic Burden","year":2008,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1601,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Université de Montréal","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Medical therapy; Cardiology; Internal medicine; Percutaneous; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.02520374197882258,"gpt":0.3050573725681243,"spread":0.2798536305893017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108363,0.0001111608,0.0001982937,0.00007050225,0.00006887217,0.00001065311,0.00004733865,0.00007877655,0.0002704364],"category_scores_gemma":[0.0002502904,0.00008406513,0.00007065819,0.0001387969,0.00006503216,0.00005657837,0.00001490789,0.0001381215,0.0000686857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008489128,"about_ca_system_score_gemma":0.0001577941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008107004,"about_ca_topic_score_gemma":0.000002748219,"domain_scores_codex":[0.9990093,0.00002725634,0.0001711278,0.0002194508,0.0004236997,0.000149228],"domain_scores_gemma":[0.9993862,0.00006278017,0.00004003747,0.0002113776,0.0001192428,0.0001803562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005021307,0.000440733,0.8648752,0.00009096065,0.0002266009,0.003078987,0.004940525,0.00312126,0.0315991,0.00001338363,0.008384028,0.07820793],"study_design_scores_gemma":[0.005266445,0.0008844403,0.9208912,0.0006723099,0.0001437309,0.05294323,0.0005496135,0.01016167,0.002538278,0.000004090548,0.005575523,0.0003694913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925103,0.0002880869,0.004574647,0.0009130979,0.000126204,0.0003527296,0.000002092932,0.0001084469,0.00112445],"genre_scores_gemma":[0.9969568,0.00005392693,0.001723526,0.0003932813,0.0003894796,0.00001752343,0.00006900677,0.00002671453,0.0003697414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07783844,"threshold_uncertainty_score":0.3428076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129655528","doi":"10.1186/1532-429x-15-35","title":"Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) Board of Trustees Task Force on Standardized Post Processing","year":2013,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1515,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Engineering and Physical Sciences Research Council; National Institutes of Health; Society for Cardiovascular Magnetic Resonance; Bayer HealthCare; Imperial College London; Circle Cardiovascular Imaging; Else Kröner-Fresenius-Stiftung; National Institute for Health and Care Research; King's College London; King's College Hospital NHS Foundation Trust; British Heart Foundation; Wellcome Trust; Northwestern University","keywords":"Task force; Medicine; Medical physics; Interpretation (philosophy); Magnetic resonance imaging; Task (project management); Radiology; Computer science; Engineering; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005442285775693865,"gpt":0.236461960976235,"spread":0.2310196752005411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00452972,0.001062342,0.004576379,0.0006697886,0.0003223593,0.0004047196,0.0005558907,0.0004933145,0.000037601],"category_scores_gemma":[0.003083235,0.0009615035,0.008979851,0.001024766,0.0008883628,0.0008889147,0.0001926657,0.001161318,0.000006193782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378891,"about_ca_system_score_gemma":0.001362809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002519473,"about_ca_topic_score_gemma":0.000008146017,"domain_scores_codex":[0.9901786,0.0006581163,0.00247681,0.001380136,0.003855299,0.001451037],"domain_scores_gemma":[0.9917709,0.0005121692,0.0006111725,0.001757775,0.004787255,0.000560721],"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":[0.003294251,0.0002371876,0.0021294,0.00249972,0.001185339,0.000347727,0.001977323,0.0007957128,0.001434791,0.00001586982,0.001205603,0.984877],"study_design_scores_gemma":[0.05450069,0.008661496,0.2492754,0.01433228,0.01564995,0.002868404,0.003746712,0.009875665,0.00312618,0.0006476776,0.6348014,0.002514084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1575727,0.8327521,0.005084021,0.000429438,0.0003845587,0.002978019,0.0001997187,0.00007144505,0.0005279327],"genre_scores_gemma":[0.8355459,0.105551,0.05518706,0.0008464221,0.001214529,0.0005944089,0.00004717135,0.0004849031,0.0005285742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.982363,"threshold_uncertainty_score":0.9992836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118810625","doi":"10.1016/j.jacc.2013.11.043","title":"Diagnostic Performance of Noninvasive Fractional Flow Reserve Derived From Coronary Computed Tomography Angiography in Suspected Coronary Artery Disease","year":2014,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1461,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Novo Nordisk Fonden; GE Healthcare; British Heart Foundation; Edwards Lifesciences","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Radiology; Coronary angiography; Cardiology; Computed tomography angiography; Computed tomography; Internal medicine; Angiography; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.007253037363250782,"gpt":0.2297337982019408,"spread":0.22248076083869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197409,0.0001908319,0.001200933,0.0005089145,0.00005006521,0.000003001155,0.0002556432,0.00005578073,0.00001349826],"category_scores_gemma":[0.001094962,0.000146626,0.00106706,0.0008580338,0.0008680516,0.00007503626,0.00009715257,0.0003859873,0.000001551917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006087283,"about_ca_system_score_gemma":0.0003119019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004889099,"about_ca_topic_score_gemma":0.000007102196,"domain_scores_codex":[0.9979411,0.0005238312,0.0006940861,0.0001895645,0.0004101511,0.0002412118],"domain_scores_gemma":[0.9945218,0.003468456,0.0008711083,0.000417105,0.0005397631,0.0001817629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002857737,0.0001382122,0.9825585,0.00003645038,0.0008827351,0.0006336151,0.00003490851,0.007792083,0.0009732958,0.000007484035,0.003798506,0.0002864219],"study_design_scores_gemma":[0.002314459,0.001051476,0.9925041,0.0003893873,0.0006354179,0.001121555,0.0001854532,0.001062508,0.0003003746,0.0001594039,0.0001497617,0.0001261424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957477,0.001465196,0.0004532885,0.0009167894,0.0006097174,0.0002384509,0.0003711507,0.000008085985,0.0001896015],"genre_scores_gemma":[0.9977087,0.0002499476,0.001281687,0.0002993921,0.000401902,0.000006428232,0.00002684295,0.00002035197,0.000004725405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00994551,"threshold_uncertainty_score":0.5979233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095680098","doi":"10.1001/2012.jama.11274","title":"Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography","year":2012,"lang":"en","type":"article","venue":"JAMA","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1165,"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 Center for Advancing Translational Sciences","keywords":"Fractional flow reserve; Medicine; Coronary artery disease; Stenosis; Radiology; Angiography; Cardiology; Diagnostic accuracy; Ischemia; Internal medicine; Coronary angiography; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.01513223821730397,"gpt":0.2883931194875929,"spread":0.2732608812702889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760294,0.0001076044,0.0002454322,0.000156922,0.00003462692,0.00001538434,0.00006003824,0.00005010873,0.0003331149],"category_scores_gemma":[0.00611881,0.00009811909,0.0003469977,0.0002469015,0.00006128771,0.000204716,0.00003887603,0.0001915083,0.0001268185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002973554,"about_ca_system_score_gemma":0.00005415096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007766589,"about_ca_topic_score_gemma":0.000005798594,"domain_scores_codex":[0.9991048,0.00004094091,0.0002012848,0.0001356313,0.000283225,0.0002341187],"domain_scores_gemma":[0.9956121,0.003677057,0.00008743907,0.0003195555,0.0001239635,0.0001799114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006300218,0.0002010422,0.9206072,0.00002414263,0.0001636896,0.00003286039,0.0001170846,0.000009027166,0.000294534,0.0001037529,0.07154854,0.006835121],"study_design_scores_gemma":[0.001476547,0.00003169948,0.9760659,0.0001329051,0.0002789748,0.00003665252,0.00008199538,0.0001035654,0.00253444,0.0003859957,0.01877034,0.0001010106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851543,0.007479456,0.0003972208,0.001479975,0.0007849953,0.0001700315,0.0002596447,0.00005817647,0.004216177],"genre_scores_gemma":[0.9954919,0.0001345514,0.002168654,0.0006164426,0.001306138,0.00001455148,0.0002177914,0.00001907703,0.0000309607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05545867,"threshold_uncertainty_score":0.7325229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2136811556","doi":"10.1186/1532-429x-15-92","title":"Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement","year":2013,"lang":"en","type":"review","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1135,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"NHLBI Division of Intramural Research; Circle Cardiovascular Imaging; Stockholms Läns Landsting; Bracco Diagnostics; Karolinska Institutet; Deutsche Forschungsgemeinschaft; National Institute for Health and Care Research; National Heart, Lung, and Blood Institute; Vetenskapsrådet; National Institutes of Health; U.S. Department of Health and Human Services; Bayer HealthCare; National Cancer Institute; British Heart Foundation; Wellcome Trust","keywords":"Medicine; Magnetic resonance imaging; Angiology; Clinical Practice; Clinical cardiology; Cardiology; Medical physics; Radiology; Physical therapy","retraction":null,"screen_n_in":null,"score":{"opus":0.0447704884225117,"gpt":0.2676835871320306,"spread":0.2229130987095189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.007115134,0.0007654952,0.005786032,0.0001609243,0.0002044992,0.00007887343,0.0004547639,0.0004111577,0.000004240308],"category_scores_gemma":[0.0006387389,0.0005798513,0.01673475,0.0005499019,0.00114215,0.00006629759,0.0003206438,0.0009526067,0.000001822432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720536,"about_ca_system_score_gemma":0.0004939762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003693398,"about_ca_topic_score_gemma":2.723397e-7,"domain_scores_codex":[0.9929781,0.00148863,0.002572822,0.0008571938,0.001465815,0.000637464],"domain_scores_gemma":[0.9948599,0.0007998314,0.001301582,0.001771487,0.001018102,0.0002490749],"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":[0.00003554299,0.00003902399,0.0005787838,0.01089069,0.006433891,0.00007086686,0.0002407828,0.00008167409,0.00001906451,0.00002676965,0.005802974,0.97578],"study_design_scores_gemma":[0.002784227,0.0003685507,0.00584114,0.01127877,0.01899384,0.002141535,0.0002519753,0.000145039,0.000004670752,0.00002869493,0.957692,0.0004695383],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000497985,0.9918532,0.003862398,0.0001194974,0.0007911705,0.00253785,0.0001090661,0.00001769914,0.0002110832],"genre_scores_gemma":[0.00107744,0.9836248,0.01348625,0.00003622962,0.001273893,0.00009072697,0.00001536298,0.0001476028,0.0002477027],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9753104,"threshold_uncertainty_score":0.9996653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031576042","doi":"10.1016/j.jcct.2014.07.003","title":"SCCT guidelines for the interpretation and reporting of coronary CT angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1070,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Providence Health Care","funders":"","keywords":"Medicine; Coronary angiography; Chest pain; Radiology; Guideline; Computed tomography angiography; Computed tomography; Clinical Practice; Medical physics; Acute coronary syndrome; Emergency department; Cardiology; Family medicine; Myocardial infarction; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.04186935745657423,"gpt":0.3051124710532183,"spread":0.263243113596644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00928201,0.0003966747,0.002633387,0.0006219476,0.0001715567,0.00003320388,0.0004168046,0.0001277722,8.383915e-7],"category_scores_gemma":[0.0029961,0.0002512526,0.02550559,0.001745898,0.0006428249,0.0001269771,0.000193544,0.0003971366,3.818887e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000195087,"about_ca_system_score_gemma":0.0001901914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001903294,"about_ca_topic_score_gemma":0.000001451803,"domain_scores_codex":[0.9928695,0.0003922026,0.004360235,0.0003934849,0.0016712,0.0003133604],"domain_scores_gemma":[0.985042,0.0009507073,0.00440676,0.001577169,0.007876976,0.0001464328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005153886,0.000377016,0.5092443,0.002423925,0.1558821,0.0002014202,0.0006597051,0.1661621,0.0005217695,0.00008185885,0.03314802,0.1307825],"study_design_scores_gemma":[0.01204739,0.001276681,0.7429822,0.006785332,0.05584893,0.01788768,0.001111006,0.07105319,0.005456168,0.0008565931,0.08382843,0.0008663678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2155764,0.2630072,0.5167263,0.001424826,0.001679847,0.001399004,0.00004710881,0.0000549055,0.00008451915],"genre_scores_gemma":[0.9382223,0.001205569,0.05955258,0.0002871728,0.0006447714,0.00001244239,0.000020389,0.00005270079,0.00000203781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.722646,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068483637","doi":"10.1093/ehjci/jeu192","title":"Expert consensus for multimodality imaging evaluation of adult patients during and after cancer therapy: a report from the American Society of Echocardiography and the European Association of Cardiovascular Imaging","year":2014,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1052,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital; McMaster University","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute","keywords":"Medicine; Multimodality; Cardiac imaging; Radiology; Medical imaging; Positron emission tomography; Internal medicine; Medical physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01579849973277662,"gpt":0.2783524031948338,"spread":0.2625539034620572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01519015,0.0002939301,0.001153032,0.0001121051,0.000278337,0.00009038746,0.0001260424,0.00001680302,0.00000169807],"category_scores_gemma":[0.002057156,0.0002029836,0.003147556,0.0002495404,0.0006256231,0.0001228636,0.0001296887,0.0003581157,2.873714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117565,"about_ca_system_score_gemma":0.00007566784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145842,"about_ca_topic_score_gemma":0.000001053245,"domain_scores_codex":[0.9928717,0.003959311,0.0008812615,0.000457156,0.001492804,0.0003377764],"domain_scores_gemma":[0.9951862,0.0007829419,0.0007711606,0.0008584229,0.002280013,0.0001212639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002334911,0.00003864619,0.9022012,0.00006897294,0.005085949,0.00001939111,0.001468623,0.0005973871,0.0005657904,4.411955e-7,0.0007582533,0.08896188],"study_design_scores_gemma":[0.01046382,0.00001747274,0.9763409,0.0004777446,0.003948824,0.000224642,0.0007442316,0.003470737,0.0006469847,0.00002965546,0.003424714,0.000210285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448423,0.04897362,0.003419942,0.001216104,0.0003136582,0.0008403605,0.00005812585,0.00002678862,0.0003091293],"genre_scores_gemma":[0.9934649,0.003560852,0.001567722,0.0005353991,0.0007428364,0.000030039,0.0000128281,0.00008343146,0.000001975181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08875159,"threshold_uncertainty_score":0.8277431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3030195953","doi":"10.1186/s12968-020-00610-6","title":"Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update","year":2020,"lang":"en","type":"review","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":972,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Siemens Healthineers; Imperial College London; National Institute for Health and Care Research; National Institutes of Health; Bayer HealthCare; Deutsches Zentrum für Herz-Kreislaufforschung","keywords":"Angiology; Medicine; Interpretation (philosophy); Magnetic resonance imaging; Medical physics; Radiology; Cardiology; Computer science; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.00935381721281691,"gpt":0.2700778586909038,"spread":0.2607240414780869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00294397,0.0009716431,0.007872709,0.000605928,0.00009888702,0.0002734596,0.0004540826,0.0004556587,0.00003596449],"category_scores_gemma":[0.002709211,0.0008438996,0.006742646,0.001205582,0.0003621981,0.0003523597,0.0002401754,0.001890262,0.0000308596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004660194,"about_ca_system_score_gemma":0.001615493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003269279,"about_ca_topic_score_gemma":0.000001528424,"domain_scores_codex":[0.9926565,0.00101269,0.00229722,0.001025446,0.002250385,0.0007577735],"domain_scores_gemma":[0.9962475,0.0002819723,0.000604537,0.001230629,0.001089304,0.0005461042],"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":[0.0003066399,0.00004788665,0.00004136608,0.00857918,0.0007816165,0.007053512,0.0001766877,0.00001287588,0.000001181086,0.000003992594,0.0008872471,0.9821078],"study_design_scores_gemma":[0.004060389,0.000601048,0.002008338,0.02788768,0.01460107,0.008548901,0.0000694513,0.000153855,0.000002388714,0.00003220167,0.9413594,0.0006752919],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000720956,0.9964294,0.0007999089,0.0002464048,0.0005493608,0.001225738,0.0001146151,0.00004452571,0.0005178921],"genre_scores_gemma":[0.0001439465,0.9919472,0.006334624,0.0002306369,0.0009887298,0.00005521124,0.00003052213,0.000200472,0.00006864774],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9814325,"threshold_uncertainty_score":0.9994012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996082994","doi":"10.1001/jama.2009.476","title":"Cardiac Outcomes After Screening for Asymptomatic Coronary Artery Disease in Patients With Type 2 Diabetes","year":2009,"lang":"en","type":"article","venue":"JAMA","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":817,"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 Center for Research Resources","keywords":"Medicine; Internal medicine; Asymptomatic; Hazard ratio; Coronary artery disease; Type 2 diabetes; Cardiology; Diabetes mellitus; Myocardial infarction; Context (archaeology); Myocardial perfusion imaging; Confidence interval; Endocrinology","retraction":null,"screen_n_in":null,"score":{"opus":0.006740298052438966,"gpt":0.2393675979913743,"spread":0.2326272999389353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007425591,0.0001220624,0.0002826332,0.00007927467,0.00002171368,0.00002439182,0.00002912413,0.00003391104,0.000008455422],"category_scores_gemma":[0.0003597696,0.00009280618,0.00009642072,0.00009373386,0.00002188079,0.00009184438,0.0000112,0.00007970218,0.00001220951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003111356,"about_ca_system_score_gemma":0.00003516024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001909672,"about_ca_topic_score_gemma":3.604771e-7,"domain_scores_codex":[0.9992715,0.00001831066,0.0001399799,0.0001606847,0.0001821828,0.0002274012],"domain_scores_gemma":[0.9993286,0.0001917338,0.00003003951,0.0002175564,0.00009494594,0.0001371005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005459604,0.0001417312,0.9824148,0.00004249268,0.00004828683,0.0000234008,0.00005342612,0.0000114661,0.00000185642,0.00000365482,0.001323186,0.0153897],"study_design_scores_gemma":[0.003371777,0.0002672577,0.9953119,0.0002579274,0.0001827286,2.467973e-7,0.00001142098,0.0001368905,0.000007661443,0.0000469544,0.0002820369,0.0001232373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977431,0.0003657611,0.00004969893,0.0009326633,0.000151108,0.0004995534,0.00004684184,0.00004772007,0.0001635942],"genre_scores_gemma":[0.9962018,0.000002603327,0.001131596,0.002277219,0.0001034724,0.00004153195,0.0001325362,0.00001783375,0.00009143555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526646,"threshold_uncertainty_score":0.3784526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159222156","doi":"10.2337/diacare.27.8.1954","title":"Detection of Silent Myocardial Ischemia in Asymptomatic Diabetic Subjects","year":2004,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":789,"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 Center for Research Resources; Yale University","keywords":"Medicine; Asymptomatic; Internal medicine; Cardiology; Diabetes mellitus; Myocardial perfusion imaging; Coronary artery disease; Ischemia; Type 2 diabetes; Perfusion; Myocardial infarction; Odds ratio; Endocrinology","retraction":null,"screen_n_in":null,"score":{"opus":0.005003855512117201,"gpt":0.2268566186514012,"spread":0.221852763139284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008790509,0.0001416057,0.0003827134,0.0001693557,0.00002230133,0.00001010081,0.00004625517,0.0000926096,0.000006441799],"category_scores_gemma":[0.0004043495,0.0001407221,0.0001774317,0.0002850569,0.00006001005,0.00004631497,0.00002946715,0.0001635292,0.0000577492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057625,"about_ca_system_score_gemma":0.0001007297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000298912,"about_ca_topic_score_gemma":0.00001131338,"domain_scores_codex":[0.999013,0.00002521919,0.0002434224,0.0001958286,0.0002413037,0.0002812285],"domain_scores_gemma":[0.9993345,0.0001265409,0.00005855317,0.0002709244,0.0001140842,0.00009538644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001384759,0.0000754436,0.9264209,0.0005181266,0.00004554777,0.00001652101,0.001266013,0.0002616448,0.06657467,0.00001038725,0.00004961088,0.004747248],"study_design_scores_gemma":[0.001931672,0.0001576915,0.4993613,0.000468085,0.0001353165,0.000002617184,0.0006067624,0.00003188496,0.4970166,0.00007484878,0.00008798649,0.000125245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950421,0.001908376,0.00002209777,0.00007849725,0.0003245271,0.0002842818,0.00001906563,0.00006408586,0.002256941],"genre_scores_gemma":[0.9994187,0.00001476248,0.0001511877,0.0001708603,0.0001298964,0.00004055606,0.0000427872,0.00002499758,0.000006220181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4304419,"threshold_uncertainty_score":0.5738479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W140064290","doi":"10.1016/j.jacc.2011.02.074","title":"Age- and Sex-Related Differences in All-Cause Mortality Risk Based on Coronary Computed Tomography Angiography Findings","year":2011,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":768,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"GE Healthcare; Siemens; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Medicine; Hazard ratio; Coronary artery disease; Stenosis; Internal medicine; Cardiology; Confidence interval; Proportional hazards model; Cohort; Angiography; Computed tomography angiography; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.02782469694373145,"gpt":0.2688501147680973,"spread":0.2410254178243658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005187337,0.0001573661,0.001014385,0.0005132905,0.00003868442,0.000003080668,0.0001580095,0.00006144879,0.000005311305],"category_scores_gemma":[0.0001932009,0.0001044704,0.0007154155,0.0006758199,0.0008877228,0.00002656971,0.0000486032,0.0003975118,4.06942e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002477933,"about_ca_system_score_gemma":0.00007502807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009419838,"about_ca_topic_score_gemma":0.000004204682,"domain_scores_codex":[0.9984591,0.0004695534,0.0004786479,0.0001558436,0.0002397845,0.000197092],"domain_scores_gemma":[0.9983836,0.000577733,0.0005411066,0.0002828952,0.000101555,0.0001131573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004696062,0.00009675283,0.9949536,0.0000117373,0.001707075,0.0008831948,0.0001025298,0.0001013749,0.00007245755,0.00001993854,0.001409866,0.0001718662],"study_design_scores_gemma":[0.001542932,0.001212139,0.9944912,0.0001103811,0.001237705,0.0005295902,0.0002949124,0.0001133931,0.00006960826,0.0002343135,0.00006672066,0.00009717014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976031,0.0005313036,0.00007837813,0.0002187577,0.000278306,0.0001701151,0.00008339526,0.000008159886,0.001028513],"genre_scores_gemma":[0.9989318,0.0001902069,0.0004847067,0.0003203505,0.00005019681,0.000002107118,0.000001700377,0.00001167219,0.000007225385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001343146,"threshold_uncertainty_score":0.4260179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3039582598","doi":"10.1093/eurheartj/ehaa503","title":"An EAPCI Expert Consensus Document on Ischaemia with Non-Obstructive Coronary Arteries in Collaboration with European Society of Cardiology Working Group on Coronary Pathophysiology &amp; Microcirculation Endorsed by Coronary Vasomotor Disorders International Study Group","year":2020,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":742,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"NIHR Newcastle Biomedical Research Centre; National Center for Advancing Translational Sciences; Medical Research Council; Amgen; Roivant Sciences; Daiichi Sankyo Europe; Servier; University of Glasgow; Newcastle University; British Heart Foundation; Sanofi; Abiomed; Janssen Scientific Affairs; Claret Medical; Abbott Vascular; CSL Behring; National Institute for Health and Care Research; Abbott Laboratories; Regeneron Pharmaceuticals; Medicines Company; Boston Scientific Corporation; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Cardinal Health; Pfizer","keywords":"Medicine; Internal medicine; Angina; Cardiology; Coronary arteries; Coronary artery disease; Coronary vasospasm; Asymptomatic; Canadian Cardiovascular Society; Psychological intervention; Intensive care medicine; Artery; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.01881048512675026,"gpt":0.2768780535638385,"spread":0.2580675684370883,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004694841,0.0003235909,0.0005332588,0.0001058793,0.0001769683,0.00005348166,0.0001352959,0.0000467793,0.00001751481],"category_scores_gemma":[0.00005463788,0.0002670607,0.0001263113,0.0002008281,0.000252333,0.0001408951,0.00005759144,0.0006157614,0.00001357561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888359,"about_ca_system_score_gemma":0.00008615886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001448762,"about_ca_topic_score_gemma":0.00001048755,"domain_scores_codex":[0.9970982,0.00116758,0.0004913576,0.0005128512,0.0004346787,0.0002953274],"domain_scores_gemma":[0.9988567,0.0002269922,0.0002968874,0.0002568978,0.0001482256,0.0002143481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007557586,0.0006017037,0.91374,0.00002077887,0.0004279993,0.0009722205,0.008815823,0.00271288,0.05522548,0.000007394228,0.005589752,0.004328395],"study_design_scores_gemma":[0.00703578,0.007775923,0.973579,0.0002473263,0.00008075924,0.0006917333,0.0067478,0.000108866,0.00008597493,0.000006984501,0.003365434,0.0002744372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958212,0.0001308625,0.0009430093,0.001316373,0.0003606205,0.0007084282,0.00003733858,0.00004629409,0.0006358935],"genre_scores_gemma":[0.9950565,0.0001187496,0.002010884,0.001828045,0.0006172365,0.00001162097,0.0002619044,0.00008372609,0.00001132169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05983899,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2408866005","doi":"10.1093/eurheartj/ehw188","title":"Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis","year":2016,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":705,"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; Université de Montréal; St. Paul's Hospital; University of Ottawa; Montreal Heart Institute","funders":"National Heart, Lung, and Blood Institute; National Research Foundation of Korea; National Research Foundation; Dowager Countess Eleanor Peel Trust; Dalio Foundation","keywords":"Medicine; Coronary artery disease; SSS*; Framingham Risk Score; Computed tomographic angiography; Internal medicine; Radiology; Clinical trial; Machine learning; Angiography; Cardiology; Disease","retraction":null,"screen_n_in":null,"score":{"opus":0.02030593075488308,"gpt":0.2737254518784147,"spread":0.2534195211235317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003614818,0.0001220562,0.0002854165,0.0001826346,0.00006035771,0.00001865642,0.00004023967,0.000017617,0.00004136159],"category_scores_gemma":[0.0007197136,0.00008056663,0.0001679931,0.0002143337,0.00006333705,0.0001029227,0.00002224703,0.0002315659,0.00000607806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114492,"about_ca_system_score_gemma":0.00006412412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000409624,"about_ca_topic_score_gemma":0.000005167108,"domain_scores_codex":[0.9987721,0.0002077771,0.0002980638,0.0002066947,0.0003099566,0.0002053385],"domain_scores_gemma":[0.9989888,0.0001387008,0.0001722341,0.0002087133,0.0002732185,0.0002183143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001607091,0.0003398942,0.9956949,0.00002559963,0.001226516,0.0001762994,0.0001122816,0.0001285119,0.00008512683,0.000003340822,0.0004350296,0.0001654383],"study_design_scores_gemma":[0.006647103,0.0003925545,0.9899659,0.0002733531,0.001958265,0.00003631386,0.00004026174,0.0002876712,0.00001881393,0.000005096073,0.0002920054,0.0000826393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977723,0.0001259587,0.0009435883,0.0002493319,0.00008131268,0.0003631634,0.0001746809,0.00003492522,0.0002547394],"genre_scores_gemma":[0.9990736,0.00004178185,0.0003504077,0.00003873837,0.0001560077,0.00000307848,0.00009702532,0.00002908356,0.0002102256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005728947,"threshold_uncertainty_score":0.3285412,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148352532","doi":"10.1093/eurheartj/ehs289","title":"Women and men with stable coronary artery disease have similar clinical outcomes: insights from the international prospective CLARIFY registry","year":2012,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":653,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Montreal Heart Institute; Université de Montréal","funders":"University of Glasgow; Servier; National Institute for Health and Care Research","keywords":"Medicine; Coronary artery disease; Myocardial infarction; Internal medicine; Odds ratio; Angina; Stroke (engine); Cardiology; Prospective cohort study; Confidence interval; Revascularization; Unstable angina; Diabetes mellitus","retraction":null,"screen_n_in":null,"score":{"opus":0.04158725059575828,"gpt":0.3137446980774974,"spread":0.2721574474817391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007346123,0.0001509626,0.0002578433,0.00003425751,0.000191211,0.0001253562,0.000103428,0.00003776194,0.00008637036],"category_scores_gemma":[0.0006175967,0.00008680677,0.0001037728,0.00003473789,0.000172959,0.0002100051,0.0001008683,0.001053982,0.00005383869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009522946,"about_ca_system_score_gemma":0.0001273174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005089953,"about_ca_topic_score_gemma":8.993043e-7,"domain_scores_codex":[0.9985895,0.000286735,0.0002826666,0.0001879655,0.0003844087,0.0002687157],"domain_scores_gemma":[0.9983491,0.0005248723,0.0001121154,0.000285406,0.0001092546,0.0006192918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004361884,0.0001791874,0.9480579,0.000003220162,0.0002811319,0.0006349877,0.00114274,0.000002496329,0.00001115073,0.00001734654,0.049002,0.0002316124],"study_design_scores_gemma":[0.001899863,0.0001207588,0.9431842,0.00009292211,0.0001153347,0.0007748037,0.0008874731,0.0000271991,0.000003225974,0.0001001273,0.05268607,0.0001080165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980293,0.001262896,0.0001336733,0.006305905,0.000532383,0.0001926682,0.00003697474,0.00003329461,0.01120923],"genre_scores_gemma":[0.9904633,0.000135644,0.0005123603,0.005522785,0.002315116,0.000003611169,0.00001691043,0.00003561312,0.0009946241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021461,"threshold_uncertainty_score":0.4579085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4256714814","doi":"10.1016/j.jcct.2016.04.005","title":"CAD-RADSTM Coronary Artery Disease – Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":650,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Providence Health Care; Ottawa Hospital","funders":"","keywords":"Medicine; Coronary artery disease; CAD; Radiology; Chest pain; Quality assurance; Stenosis; Medical physics; Internal medicine; Cardiology; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.01390131892943105,"gpt":0.2519832296955345,"spread":0.2380819107661035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.00801798,0.0006824058,0.005547285,0.000299826,0.0004260001,0.00002474911,0.001173742,0.00008468378,2.709123e-7],"category_scores_gemma":[0.0005964429,0.0003415302,0.01747249,0.002072339,0.01069672,0.0001371529,0.0006497354,0.0005621091,3.691636e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000548,"about_ca_system_score_gemma":0.0004897926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007348853,"about_ca_topic_score_gemma":0.000006286187,"domain_scores_codex":[0.9908838,0.002908366,0.002740118,0.0009303449,0.001827644,0.0007097854],"domain_scores_gemma":[0.9863892,0.003006791,0.004597746,0.004015183,0.001626967,0.0003641633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004760961,0.000438904,0.5162144,0.001826044,0.3858321,0.0006781814,0.001646735,0.01402422,0.001237129,0.000194345,0.03261128,0.04053571],"study_design_scores_gemma":[0.03154702,0.0019979,0.8002746,0.001790314,0.07260623,0.02159798,0.019314,0.009846617,0.0008496919,0.0001238822,0.03863497,0.001416804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988788,0.1603419,0.03297748,0.00178103,0.0005898112,0.002517185,0.002857873,0.0000461697,0.000009754061],"genre_scores_gemma":[0.9891241,0.00584897,0.004037525,0.000299475,0.0005081237,0.00005251767,0.00004540788,0.00008270748,0.000001192966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3132259,"threshold_uncertainty_score":0.9999037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2463113438","doi":"10.1007/s12350-016-0522-3","title":"ASNC imaging guidelines/SNMMI procedure standard for positron emission tomography (PET) nuclear cardiology procedures","year":2016,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":615,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Positron emission tomography; Medical physics; Nuclear medicine; Brain positron emission tomography; Radiology; Preclinical imaging","retraction":null,"screen_n_in":null,"score":{"opus":0.01413349430479938,"gpt":0.2969891120552424,"spread":0.282855617750443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101032,0.0003355804,0.00141329,0.0004348257,0.0001697207,0.00003874503,0.0002560009,0.0001911939,0.0000288118],"category_scores_gemma":[0.004100477,0.0002173573,0.00123734,0.0001826377,0.0002647753,0.000184783,0.0001029298,0.0003897861,0.00001702483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070842,"about_ca_system_score_gemma":0.0004047606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003080201,"about_ca_topic_score_gemma":3.454289e-7,"domain_scores_codex":[0.997505,0.0001557756,0.0009305658,0.0004060518,0.0003993973,0.0006031982],"domain_scores_gemma":[0.9966731,0.000369638,0.0005026733,0.000391298,0.001694771,0.0003684864],"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":[0.003858359,0.00004407297,0.120133,0.0002361367,0.0009860751,0.001235732,0.0001479523,0.00006494331,0.06145988,0.0003046317,0.8031661,0.008363063],"study_design_scores_gemma":[0.008483749,0.002584538,0.06631528,0.001308437,0.001704952,0.04020015,0.0006935759,0.00007680497,0.0004972145,0.00115514,0.8764071,0.0005730132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848376,0.01025121,0.007588072,0.08257799,0.004519101,0.001619152,0.0002544943,0.0003779462,0.007974468],"genre_scores_gemma":[0.9868305,0.0007880971,0.005564666,0.002960219,0.003602362,0.000007321258,0.000007187646,0.0001315105,0.0001081162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019929,"threshold_uncertainty_score":0.8863572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094078131","doi":"10.1016/j.jacc.2011.01.065","title":"Impaired Myocardial Flow Reserve on Rubidium-82 Positron Emission Tomography Imaging Predicts Adverse Outcomes in Patients Assessed for Myocardial Ischemia","year":2011,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":601,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"GE Healthcare; Lantheus Medical Imaging","keywords":"Medicine; SSS*; Mace; Hazard ratio; Cardiology; Interquartile range; Myocardial perfusion imaging; Internal medicine; Confidence interval; Myocardial infarction; Positron emission tomography; Fractional flow reserve; Nuclear medicine; Perfusion; Percutaneous coronary intervention; Coronary angiography","retraction":null,"screen_n_in":null,"score":{"opus":0.01236560680736992,"gpt":0.2615653900803488,"spread":0.2491997832729789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000819633,0.0002708761,0.001622372,0.0004439034,0.00007274825,0.000004536889,0.0003022837,0.00009085813,0.000002493127],"category_scores_gemma":[0.001831687,0.0001870996,0.001636044,0.0004497011,0.0003579789,0.0001001809,0.0001142473,0.0004383274,7.857184e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869779,"about_ca_system_score_gemma":0.0003665111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003827905,"about_ca_topic_score_gemma":0.000001101986,"domain_scores_codex":[0.9976222,0.0003766329,0.000798912,0.000250717,0.0005347343,0.000416798],"domain_scores_gemma":[0.9972125,0.0006257326,0.0008770369,0.0005065767,0.0005753276,0.0002028266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005407624,0.0001919223,0.973134,0.00003010894,0.0006858075,0.0001107196,0.00009793573,0.0002007766,0.001311776,0.000007477047,0.0183857,0.0004361347],"study_design_scores_gemma":[0.006832597,0.002030509,0.9857411,0.0002027371,0.0007253626,0.0001333837,0.0003067225,0.00008906056,0.002861785,0.00008646384,0.0008188888,0.0001714225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947718,0.0001181647,0.0001888325,0.0007603561,0.001631658,0.0006102978,0.0002895722,0.00001609465,0.00161323],"genre_scores_gemma":[0.9971792,0.00003089258,0.001682209,0.0004956473,0.0005194322,0.00001544219,0.00001023359,0.00003913663,0.00002784621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756681,"threshold_uncertainty_score":0.76297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140800188","doi":"10.1016/j.jacc.2013.07.076","title":"Anatomic Versus Physiologic Assessment of Coronary Artery Disease","year":2013,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":564,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Astellas Pharma; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; GE Healthcare; Genentech; Heart and Stroke Foundation of Canada","keywords":"Medicine; Coronary artery disease; Fractional flow reserve; Cardiology; Revascularization; Coronary flow reserve; Internal medicine; Stenosis; Artery; Positron emission tomography; Radiology; Coronary angiography; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.03460922197938692,"gpt":0.3579084874448278,"spread":0.3232992654654409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003887146,0.0003104827,0.004913185,0.0002649406,0.00003098842,0.000002605465,0.0004060557,0.00009550145,0.00001219063],"category_scores_gemma":[0.0006631186,0.0001779581,0.002853095,0.0003689785,0.0008831719,0.00003033035,0.0001756923,0.0006151696,0.000003401566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367808,"about_ca_system_score_gemma":0.001972741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003633014,"about_ca_topic_score_gemma":9.48482e-8,"domain_scores_codex":[0.9973671,0.0007470576,0.001082485,0.0001898432,0.0003757678,0.0002377268],"domain_scores_gemma":[0.9944094,0.001447494,0.002885601,0.0006754969,0.0003935237,0.0001884309],"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":[0.004448497,0.0008110579,0.04761497,0.02301764,0.03197039,0.006659618,0.00002300518,0.0008224215,0.0001880343,0.000545776,0.2392948,0.6446038],"study_design_scores_gemma":[0.003504061,0.003727811,0.127612,0.009896712,0.02398667,0.006878582,0.0002426218,0.0000251603,0.000003464986,0.000141004,0.8234819,0.0005000411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01223581,0.9837081,0.00004036434,0.0002382072,0.001946087,0.0005974438,0.0004233691,0.0000064843,0.0008040647],"genre_scores_gemma":[0.08515767,0.9135532,0.0004020717,0.00008566439,0.000683817,0.00001408596,0.0000110731,0.00003293604,0.00005944126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6441038,"threshold_uncertainty_score":0.7256922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883464116","doi":"10.1093/eurheartj/ehy404","title":"Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging","year":2018,"lang":"en","type":"review","venue":"European Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":539,"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; Coronary artery disease; Machine learning; Relevance (law); Modalities; Artificial intelligence; Disease; Coronary angiography; Cardiac imaging; Cardiology; Internal medicine; Computer science; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.05741497653989861,"gpt":0.3820033057549449,"spread":0.3245883292150463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00353095,0.0002597748,0.001828973,0.000303752,0.000101015,0.00004404848,0.0001148632,0.00003965053,0.000008241679],"category_scores_gemma":[0.002739611,0.0002234167,0.001367323,0.0003201307,0.00007781239,0.00004641336,0.000162765,0.001236903,0.0001493201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950368,"about_ca_system_score_gemma":0.000274121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003495009,"about_ca_topic_score_gemma":1.007902e-7,"domain_scores_codex":[0.9967722,0.001295986,0.0008815096,0.000416856,0.0003602428,0.0002732287],"domain_scores_gemma":[0.9979683,0.0005301809,0.0002138987,0.000475952,0.0001868699,0.000624795],"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":[0.00002081547,0.00006301073,0.03742903,0.003541531,0.0005148381,0.0004196196,0.00003797398,0.00001801406,3.461171e-7,0.000004672994,0.003761851,0.9541883],"study_design_scores_gemma":[0.0003096381,0.0000499197,0.01215856,0.01147555,0.00209388,0.0005732261,0.00000564429,0.00002130397,1.205263e-7,0.000001730082,0.9731286,0.0001818195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007976119,0.9974942,0.0003211882,0.0001350398,0.0003340082,0.0006344914,0.0000373447,0.00002915676,0.0009347646],"genre_scores_gemma":[0.0005347775,0.9960181,0.0007184689,0.0001180866,0.002257623,0.0000132587,0.00002472116,0.00009620957,0.0002188262],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9693667,"threshold_uncertainty_score":0.911067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121708260","doi":"10.1016/s0140-6736(04)16980-8","title":"Effect of long-acting nifedipine on mortality and cardiovascular morbidity in patients with stable angina requiring treatment (ACTION trial): randomised controlled trial","year":2004,"lang":"en","type":"article","venue":"The Lancet","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":518,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Montreal Heart Institute; University Health Network; Mount Sinai Hospital","funders":"Bayer HealthCare; Bayer","keywords":"Medicine; Nifedipine; Myocardial infarction; Placebo; Angina; Unstable angina; Hazard ratio; Internal medicine; Clinical endpoint; Cardiology; Stroke (engine); Acute coronary syndrome; Heart failure; Randomized controlled trial; Anesthesia; Confidence interval; Calcium","retraction":null,"screen_n_in":null,"score":{"opus":0.03689402139720626,"gpt":0.3143613954488263,"spread":0.27746737405162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413134,0.0001442101,0.001238163,0.00004736527,0.00004663755,0.00001432695,0.00003024476,0.00003728848,0.000002546975],"category_scores_gemma":[0.0008113812,0.00007684884,0.0002052195,0.00008839685,0.00004723367,0.0000431203,0.000009786762,0.0001147092,8.488183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343822,"about_ca_system_score_gemma":0.00004444959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008021645,"about_ca_topic_score_gemma":0.00002096849,"domain_scores_codex":[0.9988717,0.0002620272,0.000229773,0.0001738724,0.0002790396,0.0001835336],"domain_scores_gemma":[0.9988208,0.0005889461,0.0001068829,0.0004020105,0.00003996795,0.00004143219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9216002,0.0002577084,0.07425267,0.00007120491,0.0007052487,0.00001779237,0.00008327311,0.001165642,0.00001581714,0.000002260904,0.00001297379,0.001815208],"study_design_scores_gemma":[0.8999911,0.004365749,0.09285349,0.0001475599,0.00107925,0.00000150083,0.00001085201,0.00002622359,0.001439211,0.000004174898,0.00001483749,0.00006606248],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941561,0.0002958474,0.00007878833,0.00007204204,0.0002896558,0.004554672,0.000009498997,0.00002761218,0.0005158273],"genre_scores_gemma":[0.9990756,0.000067565,0.0000177776,0.00002086915,0.0006028637,0.0001736877,0.00002058472,0.00001233833,0.000008740863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02160911,"threshold_uncertainty_score":0.3133805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089733205","doi":"10.1016/j.jacc.2008.01.019","title":"The Salvaged Area at Risk in Reperfused Acute Myocardial Infarction as Visualized by Cardiovascular Magnetic Resonance","year":2008,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":509,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Medicine; Magnetic resonance imaging; Cardiology; Myocardial infarction; Internal medicine; Revascularization; Perfusion; Infarction; Cardiac magnetic resonance; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.0078303969855365,"gpt":0.2565337973730256,"spread":0.2487034003874891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00127679,0.0002027302,0.001460724,0.0001486534,0.000243946,0.000004637513,0.0002759992,0.00008061749,0.000003017659],"category_scores_gemma":[0.001476571,0.0001246058,0.001548899,0.0006427669,0.001114379,0.00003870121,0.0001228711,0.0005729282,0.000004091577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561781,"about_ca_system_score_gemma":0.000275376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009467533,"about_ca_topic_score_gemma":0.00000384123,"domain_scores_codex":[0.9969118,0.001158769,0.0007154828,0.0002158096,0.0006597004,0.0003384908],"domain_scores_gemma":[0.9972976,0.0008867403,0.0006330709,0.000749629,0.0003146754,0.0001183039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006901544,0.00006635714,0.9050059,0.00001285033,0.003481058,0.002279464,0.0001762558,0.0008199218,0.004774687,0.00002322708,0.0709769,0.005481893],"study_design_scores_gemma":[0.005256307,0.001000467,0.7774737,0.00006934444,0.001624174,0.01760027,0.0002960458,0.00002840506,0.001056056,0.000070526,0.1953634,0.000161292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754121,0.02078331,0.00006199291,0.0009958427,0.0007646353,0.0003323007,0.0000900132,0.00001121074,0.001548541],"genre_scores_gemma":[0.9712631,0.02737587,0.000186828,0.0003495629,0.000352803,0.00001300045,0.000001893127,0.00002867627,0.0004282716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1275321,"threshold_uncertainty_score":0.5081278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2422494935","doi":"10.1016/j.jacr.2016.04.024","title":"CAD-RADS™: Coronary Artery Disease – Reporting and Data System","year":2016,"lang":"sk","type":"article","venue":"Journal of the American College of Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":505,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Providence Health Care; Ottawa Hospital","funders":"","keywords":"Coronary artery disease; Medicine; CAD; Chest pain; Radiology; Quality assurance; Coronary angiography; Stenosis; Angiography; Internal medicine; Medical physics; Cardiology; Myocardial infarction; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.02138245737007331,"gpt":0.2936446920687697,"spread":0.2722622346986964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019955,0.0002320522,0.001535063,0.0001724152,0.0001045875,0.000007451565,0.0005792682,0.00005645208,0.000008219155],"category_scores_gemma":[0.009192481,0.0001256793,0.0003100509,0.0002484684,0.001517964,0.0001223255,0.0004254435,0.0003256942,0.000003360771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972369,"about_ca_system_score_gemma":0.000992928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003489404,"about_ca_topic_score_gemma":0.000002323122,"domain_scores_codex":[0.9964345,0.0006153174,0.001894167,0.0003201707,0.0003725478,0.0003632926],"domain_scores_gemma":[0.9891711,0.001699974,0.007118091,0.001314115,0.0002964262,0.0004003256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001763637,0.0001261083,0.8955264,0.0002984228,0.001021468,0.007736525,0.00007848404,0.00001188628,0.002570501,0.0001998693,0.08421512,0.006451587],"study_design_scores_gemma":[0.002755295,0.001024568,0.8982753,0.003417489,0.0025315,0.08414128,0.001854179,0.0002480371,0.00008070155,0.00007256795,0.005376505,0.0002225271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634604,0.0160275,0.0003336993,0.01591957,0.002731341,0.0002438619,0.001098646,0.00001094335,0.0001740511],"genre_scores_gemma":[0.9959822,0.001472025,0.0003838293,0.0004639114,0.001306827,0.000001249441,0.000002498806,0.00003072832,0.0003567118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07883862,"threshold_uncertainty_score":0.9991535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1749549404","doi":"10.1016/j.jacc.2014.01.034","title":"Ischemic Outcomes After Coronary Intervention of Calcified Vessels in Acute Coronary Syndromes","year":2014,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":502,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Cardiology; Conventional PCI; Internal medicine; Myocardial infarction; Hazard ratio; Revascularization; Stent; Calcification; Coronary artery disease; Lesion; Surgery; Confidence interval","retraction":null,"screen_n_in":null,"score":{"opus":0.01019278327193749,"gpt":0.2860618391882151,"spread":0.2758690559162776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005360903,0.0001298638,0.00132178,0.0002028784,0.00001312938,0.000001386625,0.0001816077,0.0000518542,0.000007907943],"category_scores_gemma":[0.0005182397,0.00008708444,0.000740575,0.000228996,0.0004750937,0.00004515857,0.00009799914,0.0002730631,0.00000132919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007098895,"about_ca_system_score_gemma":0.0001102969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001514062,"about_ca_topic_score_gemma":0.000001658615,"domain_scores_codex":[0.9984953,0.0003030536,0.0006837064,0.0001086025,0.0002415261,0.0001677433],"domain_scores_gemma":[0.9981251,0.0005309407,0.0007632432,0.0003101218,0.0002066524,0.00006397635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001325381,0.00006970855,0.9882893,0.00005115532,0.0006937095,0.0003971704,0.00003470521,0.0001072906,0.002894453,0.00002219486,0.005072999,0.001041915],"study_design_scores_gemma":[0.001985144,0.0008275864,0.9890906,0.0002519365,0.0005499008,0.004637703,0.0002830579,0.00001585696,0.001014122,0.0000800057,0.00118959,0.0000745228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963846,0.0005845262,0.0002953709,0.001343339,0.0006592311,0.0001300204,0.00005505673,0.000004032717,0.0005437988],"genre_scores_gemma":[0.998871,0.0001274558,0.0004235984,0.0002885924,0.0001096015,0.000004450183,0.000001647178,0.00001491043,0.0001586882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004240532,"threshold_uncertainty_score":0.35512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031563096","doi":"10.1186/1532-429x-15-51","title":"Guidelines and protocols for cardiovascular magnetic resonance in children and adults with congenital heart disease: SCMR expert consensus group on congenital heart disease","year":2013,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":499,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; St. Thomas Hospital","funders":"National Institute for Health and Care Research; Children's Hospital of Philadelphia","keywords":"Medicine; Heart disease; Angiology; Magnetic resonance imaging; Disease; Intensive care medicine; Physical examination; Pediatrics; Physical therapy; Internal medicine; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.01265157831907252,"gpt":0.2588968078274052,"spread":0.2462452295083327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010227,0.0005427109,0.001599592,0.0002678283,0.0001264687,0.0001664778,0.0001597635,0.0001246006,0.00001445248],"category_scores_gemma":[0.001607663,0.0004365075,0.001376135,0.0002736673,0.0005290622,0.0001832306,0.00008009032,0.0004122862,0.000005904148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008293647,"about_ca_system_score_gemma":0.0003184309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002281742,"about_ca_topic_score_gemma":0.000004561314,"domain_scores_codex":[0.995934,0.0002808265,0.000966024,0.0007818642,0.001398417,0.0006388357],"domain_scores_gemma":[0.996587,0.0003206805,0.000135198,0.0009974453,0.001077749,0.0008819635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01395218,0.0008414657,0.4648439,0.0007870701,0.002508586,0.002335346,0.0003111011,0.000324401,0.00009382196,0.0000824429,0.02686904,0.4870507],"study_design_scores_gemma":[0.01494904,0.001932471,0.7999934,0.001635423,0.001425512,0.002245432,0.00007962169,0.000305073,0.0000212665,0.00007938402,0.1768453,0.0004880383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4338009,0.5557882,0.00004905496,0.001291481,0.00008930003,0.008851125,0.00007983464,0.00002308295,0.00002710295],"genre_scores_gemma":[0.9581247,0.01551616,0.01428724,0.00288625,0.001889012,0.006772299,0.00003275896,0.0002444355,0.0002471799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.540272,"threshold_uncertainty_score":0.9998087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164969738","doi":"10.1016/j.echo.2013.07.005","title":"Expert Consensus for Multi-Modality Imaging Evaluation of Cardiovascular Complications of Radiotherapy in Adults: A Report from the European Association of Cardiovascular Imaging and the American Society of Echocardiography","year":2013,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":485,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Medicine; Radiation therapy; Cardiac resynchronization therapy; Adverse effect; Intensive care medicine; Cancer; Heart failure; Disease; Cardiac imaging; Cardiology; Radiology; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.02107738873167391,"gpt":0.295318959611631,"spread":0.274241570879957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.01120422,0.0002950903,0.002373651,0.0001943747,0.0001233008,0.00002000099,0.0004213119,0.00004450861,7.778787e-7],"category_scores_gemma":[0.0008697229,0.000190051,0.01220499,0.001727269,0.002980745,0.0001005386,0.0000974089,0.0004020197,4.391826e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516079,"about_ca_system_score_gemma":0.0002128337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008591275,"about_ca_topic_score_gemma":0.000002047253,"domain_scores_codex":[0.9939634,0.001957847,0.001667401,0.0003451533,0.001777599,0.0002885877],"domain_scores_gemma":[0.9891691,0.001732547,0.004438166,0.001389462,0.003186058,0.00008470929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002761621,0.0002497853,0.9165341,0.0001674937,0.0279302,0.000001309185,0.004194583,0.006272794,0.003859706,0.000003265328,0.00859351,0.03191711],"study_design_scores_gemma":[0.007825674,0.00009374051,0.961495,0.0006415829,0.006008766,0.00004715371,0.01308143,0.008717993,0.0009296727,0.0001909877,0.0007814948,0.0001864422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071909,0.0513441,0.03350449,0.005296261,0.0002019246,0.002103233,0.0002329194,0.00001655312,0.0001096338],"genre_scores_gemma":[0.9670976,0.01044693,0.02173103,0.000426047,0.0001974251,0.00004375998,0.00001132116,0.00004520447,6.145172e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05990678,"threshold_uncertainty_score":0.9997326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2951539836","doi":"10.1056/nejmoa1716734","title":"Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease","year":2019,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":479,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Guy's and St Thomas' NHS Foundation Trust; Abbott Vascular; Circle Cardiovascular Imaging; King's Health Partners; National Institute on Disability and Rehabilitation Research; University of Glasgow; Siemens Healthineers; King's College London; University College London; British Heart Foundation; National Institute for Health and Care Research; Deutsches Zentrum für Herz-Kreislaufforschung; South London and Maudsley NHS Foundation Trust; Bayer; AstraZeneca","keywords":"Fractional flow reserve; Medicine; Revascularization; Cardiology; Internal medicine; Angina; Myocardial infarction; Magnetic resonance imaging; Canadian Cardiovascular Society; Coronary artery disease; Myocardial perfusion imaging; Unstable angina; Radiology; Coronary angiography","retraction":null,"screen_n_in":null,"score":{"opus":0.01415740566841321,"gpt":0.2798103795832941,"spread":0.2656529739148809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007120105,0.0001230772,0.0004282877,0.0002442538,0.00002185216,0.000006486652,0.00007768998,0.00004731305,0.002063859],"category_scores_gemma":[0.002199568,0.00007629966,0.00007705982,0.0002128333,0.00005931608,0.00009443016,0.00002416572,0.000487925,0.00003163731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008003772,"about_ca_system_score_gemma":0.0004830573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008759332,"about_ca_topic_score_gemma":0.00002116196,"domain_scores_codex":[0.9984654,0.00007702709,0.0004463716,0.0001370358,0.000692218,0.0001819196],"domain_scores_gemma":[0.9983866,0.0006588524,0.0001288717,0.0001956186,0.0002040805,0.000425933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009030668,0.0001225557,0.7799017,0.00005689248,0.00001033204,0.003080316,0.0002861667,0.000176554,0.0004192304,0.00001561239,0.034881,0.1720189],"study_design_scores_gemma":[0.04784482,0.001601871,0.8218586,0.001909862,0.0001148453,0.001990105,0.0001108275,0.0009037351,0.0000119411,0.0002165642,0.1233576,0.00007922411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418584,0.03326562,0.00008870198,0.02109575,0.001552627,0.0002069136,0.0000072643,0.00001134631,0.001913338],"genre_scores_gemma":[0.9883022,0.001908772,0.0006255492,0.001439167,0.003954575,0.000001060407,0.00001270718,0.00001781041,0.003738148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1719397,"threshold_uncertainty_score":0.9988484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805117454","doi":"10.1016/j.jacc.2018.02.079","title":"Coronary Atherosclerotic Precursors of Acute Coronary Syndromes","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":475,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of Ottawa","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Hazard ratio; Culprit; Internal medicine; Cardiology; Coronary artery disease; Confidence interval; Stenosis; Acute coronary syndrome; Vulnerable plaque; Coronary atherosclerosis; Intravascular ultrasound; Radiology; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.01461649046540982,"gpt":0.279675861632966,"spread":0.2650593711675562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039328,0.0001427415,0.001252927,0.0001435696,0.00004046184,0.000001505001,0.0002724016,0.00005116147,0.00001641654],"category_scores_gemma":[0.0003902514,0.00009430032,0.0006715497,0.000333259,0.001795577,0.00003931758,0.0001112881,0.0002389041,0.000004650846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006827232,"about_ca_system_score_gemma":0.0003569666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007667769,"about_ca_topic_score_gemma":4.908864e-7,"domain_scores_codex":[0.9985209,0.0002522814,0.000564957,0.0001184725,0.0003318951,0.0002114669],"domain_scores_gemma":[0.9975325,0.0004339627,0.0009699697,0.0004133952,0.0005464032,0.0001037293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002008915,0.00009895403,0.9482886,0.00004638355,0.003014747,0.0005801844,0.0001135755,0.0001001529,0.01067309,0.0001019001,0.03375109,0.001222368],"study_design_scores_gemma":[0.001338132,0.004104046,0.9693338,0.0002058997,0.001505573,0.01799115,0.000381624,0.00001496556,0.002392102,0.0001739362,0.002465344,0.00009346554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950266,0.0005172321,0.0001742562,0.001310775,0.0009594495,0.0001850137,0.0001288918,0.000006863483,0.001690847],"genre_scores_gemma":[0.9976612,0.0002888759,0.001037482,0.0003307092,0.0003964335,0.000001397027,9.308005e-7,0.00002173751,0.0002612244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03128575,"threshold_uncertainty_score":0.6615878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2516648","doi":"10.1016/j.jacc.2007.09.006","title":"F-18-Fluorodeoxyglucose Positron Emission Tomography Imaging-Assisted Management of Patients With Severe Left Ventricular Dysfunction and Suspected Coronary Disease","year":2007,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":473,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Hamilton Health Sciences; University of Toronto; St. Michael's Hospital; London Health Sciences Centre; McGill University; Montreal Heart Institute; University of Ottawa","funders":"","keywords":"Medicine; Revascularization; Hazard ratio; Myocardial infarction; Fluorodeoxyglucose; Cardiology; Internal medicine; Coronary artery disease; Positron emission tomography; Perioperative; Confidence interval; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.003755267306285472,"gpt":0.2216725206075715,"spread":0.217917253301286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003068055,0.0001408099,0.0006267399,0.0002250205,0.00005230903,0.000002657781,0.0000942761,0.00002353339,0.00000383031],"category_scores_gemma":[0.00008502452,0.00009011014,0.000300444,0.0003802409,0.000352052,0.0000450098,0.00007094294,0.0001681766,1.184494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008593889,"about_ca_system_score_gemma":0.00008085634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005027392,"about_ca_topic_score_gemma":3.058502e-7,"domain_scores_codex":[0.9987326,0.0001284696,0.000414102,0.0001391342,0.0004002531,0.0001853909],"domain_scores_gemma":[0.9982564,0.0001461623,0.0006902986,0.0002636212,0.0004711771,0.0001722676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005398998,0.0001510766,0.9871213,0.00008301788,0.0006704429,0.0009654075,0.000009344266,0.00008091307,0.0004298287,0.00001097793,0.002665705,0.002412921],"study_design_scores_gemma":[0.00306705,0.0007222443,0.9919738,0.0002680533,0.001457664,0.001259889,0.000255528,0.0000094329,0.0003122365,0.00003478403,0.0005495878,0.00008976049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966009,0.001242948,0.0007809608,0.0004255113,0.0002428041,0.0002727965,0.00005373636,0.000007699262,0.0003726712],"genre_scores_gemma":[0.9989285,0.0001119276,0.0007148669,0.0001033502,0.00008107053,7.925993e-7,0.000009483692,0.00001537035,0.00003456285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004852402,"threshold_uncertainty_score":0.3674585,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068668193","doi":"10.1007/s00259-007-0478-2","title":"Quantification of myocardial blood flow with 82Rb dynamic PET imaging","year":2007,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":447,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Blood flow; Dipyridamole; Coronary artery disease; Nuclear medicine; Medicine; Perfusion; Positron emission tomography; Compartment (ship); Cardiology; Myocardial perfusion imaging; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.006837258406933343,"gpt":0.2470627161492684,"spread":0.2402254577423351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684589,0.0001718195,0.0004244195,0.0003542045,0.00005905015,0.00002121001,0.00009287808,0.000008327573,0.00001259563],"category_scores_gemma":[0.000458824,0.0001309161,0.0001263671,0.00019196,0.0002944841,0.00009825578,0.00003770225,0.0003239089,0.000003824141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002083233,"about_ca_system_score_gemma":0.00004794221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007228269,"about_ca_topic_score_gemma":1.919882e-7,"domain_scores_codex":[0.9984416,0.0001211505,0.0005672378,0.0001809667,0.0004559024,0.0002331393],"domain_scores_gemma":[0.9986589,0.00009474641,0.0003701358,0.000242563,0.000395443,0.0002382289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001286746,0.0003696129,0.05502096,0.0003613821,0.0007797565,0.04952588,0.004506122,0.0001017649,0.7660843,0.0002537005,0.01179101,0.1099187],"study_design_scores_gemma":[0.04617185,0.004748334,0.619674,0.01152204,0.01203797,0.1373429,0.02340208,0.008233597,0.01594297,0.0001191826,0.1192027,0.001602328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797572,0.009733018,0.07023978,0.01728784,0.0006220379,0.0002596001,0.000005418062,0.00006663676,0.02202843],"genre_scores_gemma":[0.9881333,0.0002090244,0.008594857,0.002722554,0.0002564028,8.236287e-8,0.000006621079,0.00006959363,0.000007525349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7501414,"threshold_uncertainty_score":0.5338606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908860082","doi":"10.1016/j.jacc.2018.10.056","title":"Comparison of Coronary Computed Tomography Angiography, Fractional Flow Reserve, and Perfusion Imaging for Ischemia Diagnosis","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":439,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Radiology; Myocardial perfusion imaging; Receiver operating characteristic; Nuclear medicine; Perfusion; Area under the curve; Angiography; Computed tomography angiography; Single-photon emission computed tomography; Ischemia; Cardiology; Coronary angiography; Internal medicine; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.01179781804430526,"gpt":0.295013149269947,"spread":0.2832153312256417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003692005,0.0001235312,0.00110367,0.0003088571,0.00004978808,0.000003080312,0.0001377661,0.00003972191,0.000007871906],"category_scores_gemma":[0.0002386304,0.00008967152,0.00104279,0.0004292497,0.0004621194,0.00004942858,0.00008785765,0.0002210288,3.797571e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000255702,"about_ca_system_score_gemma":0.0001126277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613025,"about_ca_topic_score_gemma":6.523934e-7,"domain_scores_codex":[0.9988018,0.0001331614,0.0005043626,0.0001332973,0.0002673782,0.0001600347],"domain_scores_gemma":[0.9970779,0.001263429,0.0007852182,0.0002404587,0.0005519246,0.0000810958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009618432,0.00006711618,0.9514019,0.00006673953,0.0004483135,0.00001211801,0.00002572174,0.0009148581,0.003564606,0.00001530139,0.04160626,0.0009151927],"study_design_scores_gemma":[0.001855338,0.0008556825,0.9865774,0.0002129426,0.0005957313,0.0008443246,0.0005591089,0.001168545,0.002202504,0.00006799557,0.004971362,0.00008906578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920626,0.004060537,0.0008685038,0.001600445,0.0005536564,0.0002855885,0.0001824658,0.000004698123,0.0003814846],"genre_scores_gemma":[0.9949878,0.0001441196,0.004423541,0.0001870073,0.0002186144,0.000005076885,0.000005746407,0.00001450749,0.00001357593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0366349,"threshold_uncertainty_score":0.3656698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3172614365","doi":"10.1109/tmi.2021.3090082","title":"Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&amp;Ms Challenge","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":437,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University; Canadian VIGOUR Centre; University of Alberta","funders":"Engineering and Physical Sciences Research Council; European Commission; Nvidia","keywords":"Generalizability theory; Benchmarking; Deep learning; Scanner; Segmentation; Cardiac magnetic resonance; Cardiac imaging; Homogeneous; Image segmentation","retraction":null,"screen_n_in":null,"score":{"opus":0.02988244004054808,"gpt":0.3157475722390445,"spread":0.2858651321984964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003285169,0.0002638275,0.0003615044,0.00009923967,0.0003447768,0.00007331902,0.00009016174,0.00007685339,0.0003899447],"category_scores_gemma":[0.0003868213,0.0002107196,0.0002996715,0.0002300553,0.0003145594,0.0001115806,0.000006866685,0.0006946122,0.0001179829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008726383,"about_ca_system_score_gemma":0.0003119661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008754339,"about_ca_topic_score_gemma":0.00005814105,"domain_scores_codex":[0.9978521,0.0001997627,0.0003344535,0.0005034656,0.000704163,0.0004060408],"domain_scores_gemma":[0.9979349,0.0005533482,0.00005112488,0.0004802516,0.0001931706,0.0007872353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006705353,0.01342279,0.0504418,0.001325931,0.002027964,0.006043712,0.01096499,0.001335494,0.01255227,0.00005293293,0.01344638,0.8877152],"study_design_scores_gemma":[0.1058316,0.0002207275,0.1699902,0.00652531,0.01149176,0.002438357,0.02393328,0.4588541,0.05370065,0.00006582185,0.1622982,0.004649895],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01919173,0.01157385,0.9275696,0.03689275,0.003304356,0.0007395269,0.0001790882,0.0003197163,0.0002293916],"genre_scores_gemma":[0.9651961,0.003931967,0.02166723,0.005793923,0.0005518824,0.0001283541,0.00008186232,0.00009399316,0.002554686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9460044,"threshold_uncertainty_score":0.8592895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161446848","doi":"10.1093/eurheartj/eht488","title":"Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study","year":2013,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":436,"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":"National Institutes of Health; GE Healthcare; Bracco Diagnostics; Toshiba Medical Systems","keywords":"Medicine; Coronary artery disease; Single-photon emission computed tomography; Stenosis; Radiology; Computed tomography angiography; Emission computed tomography; Perfusion; Receiver operating characteristic; Perfusion scanning; Angiography; Myocardial perfusion imaging; Area under the curve; Fractional flow reserve; Nuclear medicine; Myocardial infarction; Cardiology; Internal medicine; Coronary angiography","retraction":null,"screen_n_in":null,"score":{"opus":0.03092390068086939,"gpt":0.2689706809054371,"spread":0.2380467802245677,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000899401,0.0004029332,0.000523043,0.0006579146,0.0009712575,0.0005131145,0.0001520809,0.0000609127,0.00009186574],"category_scores_gemma":[0.00008670228,0.0002881356,0.0005149309,0.001011731,0.0001437107,0.0002025625,0.0002741353,0.0007180854,0.00004738914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004636328,"about_ca_system_score_gemma":0.00003870747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005659886,"about_ca_topic_score_gemma":0.000001507581,"domain_scores_codex":[0.9968202,0.0009218741,0.0005110014,0.0005097868,0.0006860663,0.0005510779],"domain_scores_gemma":[0.9977957,0.0004090102,0.0001733368,0.0004561557,0.0003927838,0.0007730126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000111375,0.0007775548,0.8524873,0.00002109818,0.0001149645,0.0003297274,0.0009793455,0.00002031143,0.06025539,2.384516e-7,0.08142877,0.003473878],"study_design_scores_gemma":[0.001901643,0.00183495,0.987083,0.0006259753,0.0003282266,0.002597291,0.001085406,0.0003657924,0.001213077,0.000004708828,0.002619526,0.0003404595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930433,0.002685229,0.000580966,0.0009356869,0.0006931564,0.001203948,0.00001142003,0.0001375105,0.0007087557],"genre_scores_gemma":[0.9960563,0.00004466463,0.001030507,0.002264777,0.0004365544,0.00000718048,0.00003202789,0.00008720843,0.00004077113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1345956,"threshold_uncertainty_score":0.9999571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2533673836","doi":"10.1093/ehjci/jew190","title":"The clinical use of stress echocardiography in non-ischaemic heart disease: recommendations from the European Association of Cardiovascular Imaging and the American Society of Echocardiography","year":2016,"lang":"en","type":"review","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":434,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; SickKids Foundation; Université Laval; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Ischaemic heart disease; Medicine; Cardiology; Stress Echocardiography; Internal medicine; Disease; Heart disease; Hemodynamics; Intensive care medicine; Radiology; Coronary artery disease","retraction":null,"screen_n_in":null,"score":{"opus":0.03899797133196199,"gpt":0.3296524446088286,"spread":0.2906544732768666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.02699359,0.0007095725,0.004869543,0.0004130208,0.0005210981,0.000276516,0.0006560164,0.00006434538,0.000001797636],"category_scores_gemma":[0.00268295,0.0003854936,0.02452079,0.001355865,0.001832023,0.0002646474,0.0005495152,0.002059101,0.000006967661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155363,"about_ca_system_score_gemma":0.000306027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003233726,"about_ca_topic_score_gemma":8.594862e-7,"domain_scores_codex":[0.9773017,0.0168659,0.002681117,0.0007788592,0.001697798,0.0006745968],"domain_scores_gemma":[0.9867968,0.007655561,0.001802104,0.002627327,0.0007930785,0.0003251336],"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":[0.00007883951,0.00007238466,0.263174,0.0006816954,0.02374166,0.0001071554,0.0001989285,0.0001411794,0.00000135884,0.000002927542,0.01997728,0.6918226],"study_design_scores_gemma":[0.002292061,0.00002122877,0.2027287,0.0139816,0.01620385,0.0002063453,0.0003127037,0.00003043198,0.000001046087,0.00001917523,0.7638533,0.0003496174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000742611,0.9918683,0.002353369,0.002135211,0.0008929554,0.001262005,0.0004691983,0.00003684142,0.0002395051],"genre_scores_gemma":[0.01821166,0.9785061,0.0008036165,0.0003676459,0.001805647,0.00001964628,0.00006487136,0.0002119748,0.000008810136],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.743876,"threshold_uncertainty_score":0.9998597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789929252","doi":"10.1016/j.echo.2017.11.013","title":"Clinical Applications of Ultrasonic Enhancing Agents in Echocardiography: 2018 American Society of Echocardiography Guidelines Update","year":2018,"lang":"en","type":"review","venue":"Journal of the American Society of Echocardiography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":425,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Michael's Hospital; University of Alberta","funders":"","keywords":"Medicine; Ultrasound; Medical physics; Clinical Practice; Statement (logic); Ultrasonography; Radiology; Intensive care medicine; Family medicine; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.0676283287410551,"gpt":0.4129409770863571,"spread":0.3453126483453021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.005957967,0.00111685,0.01088687,0.001590827,0.0001598587,0.0000361549,0.001708905,0.0004726781,0.00000628978],"category_scores_gemma":[0.0004844815,0.0008358814,0.05117968,0.01303588,0.006634054,0.0001672587,0.0003987145,0.002203935,0.000003594857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010574,"about_ca_system_score_gemma":0.001236108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003881724,"about_ca_topic_score_gemma":0.000002484524,"domain_scores_codex":[0.9883898,0.001117978,0.006565803,0.0009311956,0.002110709,0.0008845204],"domain_scores_gemma":[0.979532,0.001748972,0.0132286,0.002538692,0.002482732,0.0004690118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001694761,0.0008660275,0.3809727,0.008296614,0.02984412,0.000007866036,0.0002428664,0.00009993611,0.00004487325,0.000004596103,0.2357652,0.3436857],"study_design_scores_gemma":[0.002534422,0.001638991,0.09092311,0.02839151,0.0258077,0.0002014659,0.002366828,0.00003147334,0.0001263615,0.0001653639,0.8465752,0.001237597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005107929,0.9810347,0.009404522,0.000430435,0.001006389,0.002060306,0.0006719903,0.00005775927,0.0002259457],"genre_scores_gemma":[0.008994936,0.9446256,0.04353923,0.0009675257,0.0015771,0.00006496974,0.00004341894,0.0001779708,0.000009303615],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.61081,"threshold_uncertainty_score":0.9994092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2567696302","doi":"10.1016/j.jchf.2016.09.017","title":"Late Gadolinium Enhancement and the Risk for Ventricular Arrhythmias or Sudden Death in Dilated Cardiomyopathy","year":2016,"lang":"en","type":"review","venue":"JACC Heart Failure","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":409,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Ejection fraction; Sudden cardiac death; Odds ratio; Hazard ratio; Clinical endpoint; Dilated cardiomyopathy; Heart failure; Implantable cardioverter-defibrillator; Population; Cardiac magnetic resonance imaging; Cardiomyopathy; Ventricular fibrillation; Magnetic resonance imaging; Confidence interval; Radiology; Randomized controlled trial","retraction":null,"screen_n_in":null,"score":{"opus":0.02301542392207419,"gpt":0.3158791896872228,"spread":0.2928637657651486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303926,0.0004747105,0.002544548,0.0002102807,0.0001123483,0.00006005862,0.00009609028,0.0003522483,0.00003823688],"category_scores_gemma":[0.00152451,0.0002296042,0.0009161311,0.0002974995,0.0001046373,0.00004135672,0.0001036889,0.0005669427,0.00009520464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447235,"about_ca_system_score_gemma":0.0004506709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000076391,"about_ca_topic_score_gemma":0.00000946939,"domain_scores_codex":[0.997564,0.0003685573,0.0006981079,0.0005539793,0.0002996691,0.0005156433],"domain_scores_gemma":[0.9968212,0.001967211,0.0002480346,0.0006552392,0.0001270064,0.0001812988],"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":[0.001362728,0.0002375456,0.00742912,0.03068449,0.002404913,0.00183735,0.0004375085,0.000005591885,0.000001538364,0.0002170021,0.1192313,0.8361509],"study_design_scores_gemma":[0.003855472,0.0001027372,0.000259076,0.01435716,0.00231976,0.0005321879,0.00001528398,0.00001242345,0.000004348587,0.00004808534,0.9781975,0.0002960291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000269851,0.9928442,0.0002920147,0.002115305,0.0004652767,0.003660196,0.0002088039,0.00005102844,0.00009336249],"genre_scores_gemma":[0.0003304427,0.9956226,0.0007572599,0.0002451289,0.001314014,0.0007526624,0.0001188349,0.0000824747,0.0007765359],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8589661,"threshold_uncertainty_score":0.9362988,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804893905","doi":"10.1007/s12350-018-1283-y","title":"Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation","year":2018,"lang":"en","type":"review","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":401,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Nuclear medicine; Single-photon emission computed tomography; Myocardial perfusion imaging; Instrumentation (computer programming); Positron emission tomography; Medical physics; Interpretation (philosophy); Emission computed tomography; Perfusion; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.0258875624337816,"gpt":0.330353623697897,"spread":0.3044660612641154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006732479,0.0003652078,0.00206969,0.0006936478,0.0001446835,0.00009484462,0.0001231961,0.0002297254,0.00002097085],"category_scores_gemma":[0.0005214,0.0002866451,0.0009923043,0.0003174441,0.0002329258,0.0001721512,0.0001050768,0.000501946,0.00001079837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150267,"about_ca_system_score_gemma":0.0002924771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003768244,"about_ca_topic_score_gemma":8.172374e-8,"domain_scores_codex":[0.9974922,0.0003032027,0.001269511,0.0003444747,0.0003482964,0.0002423263],"domain_scores_gemma":[0.9970608,0.0001458088,0.001132272,0.000225379,0.001226746,0.0002090303],"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":[0.0001851735,0.00005257394,0.001186774,0.002618728,0.0004317355,0.0002924548,0.0003273065,0.00000304853,0.00007958092,0.000003142022,0.05143037,0.9433891],"study_design_scores_gemma":[0.001234285,0.0006434903,0.0009289875,0.02037341,0.003733785,0.01899541,0.0002797742,0.0002936617,0.000006645995,0.00005650545,0.9531412,0.0003128083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002036055,0.9938343,0.001235814,0.0002768518,0.001436294,0.0003585723,0.00001550303,0.00005218177,0.0007544436],"genre_scores_gemma":[0.01626483,0.9764758,0.002891804,0.0006615909,0.003473905,0.00000383693,0.0001152228,0.0001006961,0.00001236281],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9430763,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145704255","doi":"10.1016/j.jacc.2011.10.851","title":"Prevalence and Severity of Coronary Artery Disease and Adverse Events Among Symptomatic Patients With Coronary Artery Calcification Scores of Zero Undergoing Coronary Computed Tomography Angiography","year":2011,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":397,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"GE Healthcare; Siemens; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Medicine; Cardiology; Internal medicine; Coronary artery disease; Stenosis; Hazard ratio; Revascularization; Myocardial infarction; Clinical endpoint; Confidence interval; Radiology; Randomized controlled trial","retraction":null,"screen_n_in":null,"score":{"opus":0.007987812244759147,"gpt":0.2163142499011072,"spread":0.2083264376563481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027081,0.0001745053,0.0008468406,0.0003020947,0.00004814619,0.000001057451,0.0001359639,0.00003907363,0.000002129666],"category_scores_gemma":[0.0001057558,0.0001251296,0.0003884323,0.0003517342,0.001470661,0.0001173503,0.0000894773,0.0001448515,9.679739e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002341464,"about_ca_system_score_gemma":0.0001508596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001010059,"about_ca_topic_score_gemma":0.000001555241,"domain_scores_codex":[0.9984565,0.0002974839,0.0005879582,0.0001743979,0.0003196913,0.0001639389],"domain_scores_gemma":[0.9975382,0.0004484443,0.001143906,0.0003292255,0.0003716716,0.0001685147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002462046,0.0001941593,0.9950634,0.0003594885,0.001183411,0.0001244477,0.0001076306,0.00006384445,0.0000737403,0.00000671486,0.0001721939,0.000188979],"study_design_scores_gemma":[0.001890593,0.001512931,0.9927382,0.0008952388,0.001479899,0.0009110854,0.0002376309,0.00004059032,0.00003610207,0.0001472721,0.000001037361,0.0001094387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977242,0.001068527,0.0003738586,0.00003965959,0.0001416817,0.0004050464,0.0001975255,0.000006132966,0.00004337566],"genre_scores_gemma":[0.9987665,0.0002580437,0.0008716961,0.00004963781,0.00002528872,0.0000041098,0.000005765136,0.00001550417,0.000003481349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002325162,"threshold_uncertainty_score":0.5418711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2589983177","doi":"10.1016/j.jcct.2017.02.010","title":"Clinical indications for coronary artery calcium scoring in asymptomatic patients: Expert consensus statement from the Society of Cardiovascular Computed Tomography","year":2017,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":376,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Asymptomatic; Task force; Statement (logic); Context (archaeology); Coronary artery disease; Guideline; Population; Cohort; Internal medicine; Pathology","retraction":null,"screen_n_in":null,"score":{"opus":0.08269501356505957,"gpt":0.360645541994821,"spread":0.2779505284297614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.004839819,0.0008843398,0.007888101,0.001009999,0.0002835181,0.0001351415,0.0009723895,0.0005972653,0.000002719708],"category_scores_gemma":[0.0005588958,0.0006535909,0.04328089,0.001095243,0.0006795635,0.0001327077,0.0002868835,0.001526314,0.000002190079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127709,"about_ca_system_score_gemma":0.001027451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001116555,"about_ca_topic_score_gemma":0.000001245509,"domain_scores_codex":[0.9908684,0.001457976,0.004218915,0.000807675,0.002005237,0.0006417709],"domain_scores_gemma":[0.9892479,0.003186617,0.002792985,0.002722216,0.00163493,0.0004154104],"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":[0.0001040852,0.001067904,0.02326884,0.005293726,0.1662845,0.0002487255,0.0003100397,0.0008339018,1.087183e-7,0.000005133075,0.0109707,0.7916123],"study_design_scores_gemma":[0.01074675,0.0005717605,0.05151695,0.03378408,0.0453515,0.0004633014,0.0001445062,0.0003487558,0.000002114286,0.00004402965,0.8562609,0.0007653389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00121974,0.9593377,0.03322828,0.00007934156,0.002653137,0.002966695,0.0004401691,0.00004867331,0.00002625945],"genre_scores_gemma":[0.006794392,0.9743987,0.01604647,0.0001683422,0.001745456,0.0001349533,0.000556211,0.000154005,0.000001424664],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8452902,"threshold_uncertainty_score":0.9995915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108924721","doi":"10.1016/j.jcct.2020.11.001","title":"SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography","year":2020,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":371,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Corporación Tecnológica de Andalucía; British Heart Foundation","keywords":"Medicine; Computed tomographic angiography; Computed tomographic; Computed tomography; Radiology; Computed tomography angiography; Coronary angiography; Tomography; Medical physics; Angiography; Cardiology; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.0216534742574606,"gpt":0.2716432953137939,"spread":0.2499898210563333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003476861,0.001951897,0.01362592,0.003285069,0.0002876149,0.0001183607,0.001517422,0.001027145,0.00001438207],"category_scores_gemma":[0.0002581483,0.00145228,0.1407253,0.01076828,0.001450278,0.0001265214,0.0005369066,0.002804656,0.000003177407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089403,"about_ca_system_score_gemma":0.001541218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327491,"about_ca_topic_score_gemma":5.555667e-7,"domain_scores_codex":[0.9846969,0.002248701,0.005036298,0.001553623,0.005412786,0.001051735],"domain_scores_gemma":[0.9862793,0.001241544,0.004115823,0.004321663,0.003117814,0.0009238722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003856889,0.001413625,0.002624021,0.01648911,0.4759526,0.00938938,0.0003270405,0.006601898,0.000006335829,0.00004693282,0.03182225,0.4549411],"study_design_scores_gemma":[0.005685487,0.001135736,0.003338103,0.03484604,0.07097561,0.01899173,0.0001018658,0.0001170919,0.00007625208,0.00004566053,0.8634608,0.001225618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000295116,0.9855009,0.007106242,0.0002655444,0.003439858,0.002847663,0.0002326239,0.0001265554,0.0001855504],"genre_scores_gemma":[0.0084896,0.9756716,0.01291238,0.000270636,0.002041291,0.00005333583,0.0002467981,0.0003100335,0.000004259071],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8316386,"threshold_uncertainty_score":0.9994959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4284896820","doi":"10.1016/j.jcct.2022.07.002","title":"CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":368,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"British Heart Foundation","keywords":"Medicine; Coronary artery disease; CAD; Stenosis; Fractional flow reserve; Radiology; Internal medicine; Angiography; Cardiology; Coronary angiography; Myocardial infarction","retraction":null,"screen_n_in":null,"score":{"opus":0.02091458664898226,"gpt":0.2522160016506289,"spread":0.2313014150016466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002810999,0.0002074722,0.0009965079,0.0005671929,0.0002704042,0.00006042583,0.0002998445,0.00003563627,0.00000773932],"category_scores_gemma":[0.000286397,0.0001966872,0.00162255,0.0006364764,0.00008201174,0.0001689753,0.0005697804,0.000640719,8.901102e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008577756,"about_ca_system_score_gemma":0.0002479364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001413939,"about_ca_topic_score_gemma":1.192225e-7,"domain_scores_codex":[0.9966266,0.000244277,0.001078148,0.0003790623,0.001398218,0.0002737285],"domain_scores_gemma":[0.9971459,0.0001297049,0.000813615,0.001212045,0.0002745412,0.0004242027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008396037,0.0005404943,0.7765503,0.001245164,0.03099575,0.08087286,0.000283434,0.02172133,0.0001148796,0.0001185924,0.0386913,0.04802633],"study_design_scores_gemma":[0.006264213,0.0004525961,0.7722363,0.0006970557,0.01113821,0.0955232,0.0009969847,0.009516353,0.00002015941,0.00004883442,0.102608,0.0004981299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6710354,0.3110668,0.01277969,0.0005548068,0.00330734,0.0005302871,0.000205438,0.0001467335,0.0003734761],"genre_scores_gemma":[0.9975293,0.0002695994,0.001058361,0.0001784257,0.0008212839,0.000006370673,0.00009181465,0.00003825872,0.000006531402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3264939,"threshold_uncertainty_score":0.8020672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4238781556","doi":"10.1093/ehjci/jet123","title":"Expert consensus for multi-modality imaging evaluation of cardiovascular complications of radiotherapy in adults: a report from the European Association of Cardiovascular Imaging and the American Society of Echocardiography","year":2013,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":352,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Radiation therapy; Adverse effect; Cardiac resynchronization therapy; Cancer; Intensive care medicine; Heart failure; Disease; Heart disease; Cardiology; Internal medicine; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.03449639035824253,"gpt":0.3087047078560509,"spread":0.2742083174978083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02817753,0.0003843334,0.002137172,0.0002614631,0.0002365241,0.00007938307,0.0003107076,0.00002924265,0.000002729299],"category_scores_gemma":[0.002301176,0.0002888601,0.008122063,0.0007042003,0.001058292,0.0001862456,0.0001376593,0.0005308688,9.159458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308176,"about_ca_system_score_gemma":0.0001937604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721379,"about_ca_topic_score_gemma":0.000001718106,"domain_scores_codex":[0.9892939,0.005911729,0.001702634,0.0006048717,0.002040018,0.0004468624],"domain_scores_gemma":[0.9925782,0.001210091,0.00117793,0.00189369,0.002995411,0.0001446758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002468484,0.0002806887,0.7428975,0.0003426544,0.03681697,0.00007896512,0.005500656,0.02246435,0.003043331,0.000007261563,0.005304224,0.1830165],"study_design_scores_gemma":[0.01517875,0.00002955767,0.9311633,0.001144108,0.007668047,0.0009509241,0.00418692,0.02905588,0.0005757658,0.00007403221,0.0096142,0.0003585924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4614226,0.4006969,0.1265688,0.005268224,0.0005513111,0.004283139,0.0001672173,0.00007394917,0.000967816],"genre_scores_gemma":[0.9804599,0.005414074,0.01312688,0.0002995672,0.0005003604,0.0000492586,0.00003636886,0.0001118223,0.000001751879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5190373,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2961167129","doi":"10.1016/j.jacc.2019.05.024","title":"Cardiac MRI Endpoints in Myocardial Infarction Experimental and Clinical Trials","year":2019,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":351,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Heart, Lung, and Blood Institute; British Heart Foundation; European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades; Sociedad Española de Cardiología","keywords":"Medicine; Myocardial infarction; Clinical trial; Clinical endpoint; Cardiology; Surrogate endpoint; Magnetic resonance imaging; Internal medicine; Cardiac magnetic resonance; Infarction; Gold standard (test); Intensive care medicine; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.08530679138840974,"gpt":0.4420392684184207,"spread":0.3567324770300109,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006347217,0.0003411444,0.0109704,0.0004345602,0.00002748476,0.000007118589,0.0002301206,0.0002625199,0.000003589369],"category_scores_gemma":[0.004962638,0.0002108735,0.004997448,0.0004176992,0.0007198384,0.00004221942,0.0001971335,0.001107024,0.000004675747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471676,"about_ca_system_score_gemma":0.001169765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216382,"about_ca_topic_score_gemma":2.532094e-7,"domain_scores_codex":[0.9912512,0.005123112,0.002682041,0.000282522,0.000399605,0.0002614756],"domain_scores_gemma":[0.9908631,0.004812749,0.003443303,0.0005281031,0.0001930352,0.0001596668],"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":[0.003391991,0.0003897739,0.199298,0.004693784,0.02242231,0.001118766,0.00009278944,0.00006250368,0.0001042461,0.0001310437,0.1025613,0.6657335],"study_design_scores_gemma":[0.002129597,0.001342404,0.0163676,0.003898289,0.008609272,0.004192221,0.0002841987,0.000001951246,0.000008328809,0.00001356522,0.9629186,0.0002339719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004583702,0.9880147,0.00002355465,0.0002800068,0.00504802,0.0009742224,0.0002463774,0.000004954715,0.0008244588],"genre_scores_gemma":[0.01184815,0.9851124,0.0001837312,0.0001327067,0.002600986,0.0000111753,0.000005649892,0.00004268872,0.00006246099],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8603573,"threshold_uncertainty_score":0.8599174,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038920648","doi":"10.1016/j.jacc.2006.06.025","title":"What is the Prognostic Value of Myocardial Perfusion Imaging Using Rubidium-82 Positron Emission Tomography?","year":2006,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":349,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; SSS*; Positron emission tomography; Myocardial perfusion imaging; Cardiac PET; Coronary artery disease; Cardiology; Internal medicine; Revascularization; Nuclear medicine; Myocardial infarction; Perfusion; Single-photon emission computed tomography; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.006682175024332109,"gpt":0.2598726203890675,"spread":0.2531904453647354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007837555,0.000187053,0.001065657,0.000224544,0.0001255199,0.00001376381,0.0002596453,0.0000493028,0.000002844869],"category_scores_gemma":[0.0003965985,0.0001069704,0.0011779,0.0005694538,0.0007963243,0.000105122,0.0001332128,0.0003575338,3.882307e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008884182,"about_ca_system_score_gemma":0.0003336042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010165,"about_ca_topic_score_gemma":4.100394e-7,"domain_scores_codex":[0.9978802,0.0004656296,0.0006836504,0.0001589347,0.000539581,0.0002720651],"domain_scores_gemma":[0.9971544,0.0006861195,0.00110605,0.0004327593,0.0005400094,0.00008073634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006652793,0.00007262951,0.8824519,0.00004507966,0.0003612895,0.000156336,0.0001089421,0.002382283,0.09857821,0.00005754436,0.01369784,0.001422666],"study_design_scores_gemma":[0.002178136,0.0008883702,0.9483203,0.001146339,0.003089873,0.008756693,0.002592634,0.001051609,0.0263794,0.0005791614,0.004769614,0.0002478088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873518,0.005322522,0.0005194166,0.004585986,0.001368853,0.0002829068,0.00003538014,0.000007189185,0.0005259993],"genre_scores_gemma":[0.9972762,0.0004084093,0.0007521879,0.000496115,0.001001316,0.000001557145,0.000001385112,0.00002457902,0.000038286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07219881,"threshold_uncertainty_score":0.4362127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789532252","doi":"10.1016/j.jcmg.2018.01.020","title":"Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT","year":2018,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":348,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute","keywords":"Coronary artery disease; Medicine; Myocardial perfusion imaging; Receiver operating characteristic; Cardiology; Internal medicine; Deep learning; Perfusion; Coronary arteries; Radiology; Nuclear medicine; Artery; Artificial intelligence; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.008371400203560286,"gpt":0.2316552653951127,"spread":0.2232838651915524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004621984,0.0002506716,0.0006926739,0.000173586,0.0002218559,0.00004765047,0.00008800678,0.00005180362,0.00003357209],"category_scores_gemma":[0.001274454,0.0002516209,0.001709382,0.0002126466,0.0002211991,0.0001726272,0.00009751131,0.0002377253,0.00002302351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450937,"about_ca_system_score_gemma":0.0001045953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778762,"about_ca_topic_score_gemma":0.000001134884,"domain_scores_codex":[0.9979874,0.0001228113,0.00033467,0.000564084,0.0006263307,0.0003646506],"domain_scores_gemma":[0.9982548,0.0002157251,0.0001036517,0.0006677131,0.0005181611,0.0002399456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007607954,0.000102986,0.7632231,0.0001720221,0.002559485,0.0001405116,0.001381435,0.002365966,0.003752885,0.00004217352,0.001053485,0.2244452],"study_design_scores_gemma":[0.004097122,0.0001093909,0.9454879,0.0003118536,0.0043576,0.00007885488,0.0009579616,0.0246363,0.005017512,0.0002340664,0.01441369,0.0002977227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7012978,0.01895775,0.268982,0.0002707615,0.003177023,0.001445881,0.0003066574,0.000391377,0.005170839],"genre_scores_gemma":[0.9924417,0.0001365947,0.003140389,0.00007955387,0.003708284,0.00004643591,0.0003365218,0.00007114882,0.00003938273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2911439,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111896397","doi":"10.1002/mrm.21272","title":"Myocardial <i>T</i><sub>1</sub> mapping: Application to patients with acute and chronic myocardial infarction","year":2007,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":346,"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":"British Heart Foundation","keywords":"Medicine; Myocardial infarction; Nuclear medicine; Cardiology; Internal medicine; Infarction; Radiology","retraction":null,"screen_n_in":null,"score":{"opus":0.005188080107794823,"gpt":0.2380926208705921,"spread":0.2329045407627973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006131708,0.0002573864,0.0005333168,0.0003820191,0.00006597179,0.00001530177,0.00007418356,0.0001179595,0.000008731404],"category_scores_gemma":[0.000337709,0.0002136537,0.00004782553,0.0007945683,0.0002411254,0.00006557485,0.00005576223,0.0003199913,0.00002557197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023386,"about_ca_system_score_gemma":0.00009675398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001303368,"about_ca_topic_score_gemma":0.00005687459,"domain_scores_codex":[0.9978323,0.00003503618,0.0004538243,0.0005112434,0.0006734959,0.0004940774],"domain_scores_gemma":[0.9987987,0.0001954305,0.00008276736,0.0004149028,0.0002035235,0.0003046384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005322871,0.00007261417,0.6018724,0.00004349216,0.00002340498,0.00006209368,0.0004176191,0.00001041637,0.01074744,0.00002150631,0.002073026,0.3841237],"study_design_scores_gemma":[0.005696615,0.001337619,0.9500701,0.0004381941,0.0001621108,0.00005847895,0.00005943209,0.00008305129,0.0008286116,0.00004104615,0.04101264,0.0002120774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832945,0.0064114,0.004492091,0.002303594,0.0003719967,0.001319871,0.000009476922,0.00007238085,0.001724717],"genre_scores_gemma":[0.9949591,0.0009181453,0.000630296,0.002144946,0.00109602,0.0001103165,0.00006891557,0.00004047517,0.00003178208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3839116,"threshold_uncertainty_score":0.8712546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1741041","doi":"10.1016/j.jacc.2012.07.038","title":"Does Rubidium-82 PET Have Superior Accuracy to SPECT Perfusion Imaging for the Diagnosis of Obstructive Coronary Disease?","year":2012,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":344,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Genentech","keywords":"Medicine; Coronary artery disease; Nuclear medicine; Myocardial perfusion imaging; Single-photon emission computed tomography; Positron emission tomography; Receiver operating characteristic; Correction for attenuation; Emission computed tomography; Spect imaging; Technetium Tc 99m Sestamibi; Perfusion; Confidence interval; Radiology; Population; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.02577353483937432,"gpt":0.3309449048476647,"spread":0.3051713700082904,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008053515,0.0004177599,0.004050788,0.0002831166,0.0001292967,0.000008742387,0.0006200682,0.00004863834,0.00001686485],"category_scores_gemma":[0.004053838,0.0001808578,0.003301546,0.0003638692,0.0008852592,0.00006765872,0.0003283632,0.0005425302,0.00000187918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709511,"about_ca_system_score_gemma":0.0009877642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002394604,"about_ca_topic_score_gemma":0.000001698018,"domain_scores_codex":[0.9971628,0.0005661368,0.001138371,0.000260579,0.0004713852,0.000400741],"domain_scores_gemma":[0.9893236,0.006851561,0.002107158,0.0008059022,0.000638828,0.0002729387],"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":[0.002312689,0.0001884637,0.2986147,0.005381891,0.004499264,0.0008853487,0.0002103331,0.0001132037,0.00003583653,0.00007441614,0.02932502,0.6583589],"study_design_scores_gemma":[0.0007949177,0.0004641985,0.08632389,0.005262457,0.01719368,0.005534302,0.001214726,0.000004735513,0.00003357265,0.0000524124,0.8828317,0.0002894051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01087428,0.9790995,0.0001510167,0.002889045,0.002855882,0.001812965,0.002191136,0.000007841025,0.0001183089],"genre_scores_gemma":[0.1426282,0.8540103,0.0005503681,0.0002514653,0.002283694,0.0001072259,0.00001023296,0.00007364261,0.00008484918],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8535067,"threshold_uncertainty_score":0.7375165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}