{"meta":{"query_hash":"2b1bb0b3ffd1","filters":{"venue":"Journal of cardiovascular computed tomography"},"cohort_total":260,"direct_labels_cover":1,"predictions_cover":260,"exported":260,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2b1bb0b3ffd1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+cardiovascular+computed+tomography"},"results":[{"id":"W1179241317","doi":"10.1016/j.jcct.2015.08.001","title":"Safety and efficiency of outpatient versus emergency department-based coronary CT angiography for evaluation of patients with potential ischemic chest pain","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of British Columbia; Foothills Medical Centre; St. Paul's Hospital","funders":"","keywords":"Medicine; Emergency department; Chest pain; Coronary angiography; Radiology; Emergency medicine; Outpatient clinic; Cardiology; Internal medicine; Myocardial infarction; Nursing","score_opus":0.013669390357184605,"score_gpt":0.24157251233968755,"score_spread":0.22790312198250295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1179241317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88641936,0.021977266,0.090023875,0.000023294684,0.0006510125,0.00077809906,0.00006711703,0.000010962488,0.000049036804],"genre_scores_gemma":[0.99490756,0.0000669445,0.004778023,0.000010958123,0.00009680743,0.000007684167,0.00011037912,0.000021445543,1.92616e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705523,0.0002885751,0.0006681343,0.00019252095,0.0016062928,0.00018924747],"domain_scores_gemma":[0.9957632,0.00014553584,0.00050662673,0.00030878218,0.0030664639,0.0002093991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026672648,0.00019228099,0.0007458052,0.0006008361,0.000039108152,0.0000066951698,0.00008715952,0.000051133506,0.000002123123],"category_scores_gemma":[0.00032222577,0.00015646433,0.0020985208,0.0006541635,0.00011841293,0.000075012096,0.000022842023,0.0001226623,7.683345e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01052975,0.0018409418,0.85769266,0.00044695646,0.014310092,0.000034380824,0.00016942069,0.07701815,0.000034440276,0.000004548563,0.001389084,0.036529552],"study_design_scores_gemma":[0.07059389,0.008093192,0.88839054,0.00042667103,0.01826484,0.000052098243,0.00017491984,0.010300296,0.0008430717,0.000019264708,0.0025130997,0.00032812633],"about_ca_topic_score_codex":0.000008013508,"about_ca_topic_score_gemma":3.7231064e-7,"teacher_disagreement_score":0.108488224,"about_ca_system_score_codex":0.00004771388,"about_ca_system_score_gemma":0.00024288674,"threshold_uncertainty_score":0.63804305},"labels":[],"label_agreement":null},{"id":"W1489481458","doi":"10.1016/j.jcct.2015.07.004","title":"Computed Tomography Imaging in Patients with Congenital Heart Disease Part I: Rationale and Utility. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT)","year":2015,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":202,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Computed tomography; Heart disease; Radiology; Tomography; Medical physics; Cardiology","score_opus":0.021685458674895783,"score_gpt":0.26363460587764426,"score_spread":0.24194914720274846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489481458","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021414362,0.9732117,0.00039544882,0.000067200985,0.0006800694,0.0037139633,0.00043480223,0.000056970406,0.000025461832],"genre_scores_gemma":[0.27353454,0.71186566,0.01106721,0.00039942042,0.0015642991,0.00024028447,0.00079981395,0.00052091276,0.000007832759],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98999435,0.0017479149,0.0027477846,0.001071955,0.0036937753,0.00074421376],"domain_scores_gemma":[0.9918754,0.0003133616,0.0011541134,0.0020441806,0.0036240788,0.0009888484],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0020992723,0.0012379092,0.00668442,0.0016897066,0.00022324515,0.000092273185,0.00062410056,0.00030016486,0.0000071660616],"category_scores_gemma":[0.000067003544,0.0008819389,0.01664551,0.0036921378,0.0014904537,0.00030419353,0.00047914684,0.0010402076,5.423583e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027949684,0.005090654,0.16720538,0.028218955,0.24306792,0.0006886067,0.0013792405,0.0013401995,0.0000013460482,0.000022517479,0.008143337,0.54204684],"study_design_scores_gemma":[0.022880338,0.0015796981,0.18049777,0.026673697,0.056464136,0.0008159405,0.00047416656,0.0008259483,0.000008231521,0.00009948644,0.7076228,0.0020577721],"about_ca_topic_score_codex":0.00007810082,"about_ca_topic_score_gemma":0.000005015581,"teacher_disagreement_score":0.69947946,"about_ca_system_score_codex":0.00015866419,"about_ca_system_score_gemma":0.001194217,"threshold_uncertainty_score":0.9993631},"labels":[],"label_agreement":null},{"id":"W1518626630","doi":"10.1016/j.jcct.2015.08.002","title":"Epicardial adipose tissue and coronary artery calcium predict incident myocardial infarction and death in HIV-infected patients","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Internal medicine; Myocardial infarction; Cardiology; Coronary artery disease; Waist; Coronary Calcium Score; Population; Adipose tissue; Cohort; Body mass index; Coronary artery calcium","score_opus":0.012188849210853222,"score_gpt":0.22696721917480328,"score_spread":0.21477836996395006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518626630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96302456,0.03110782,0.004374188,0.00007155418,0.00066006824,0.0005798862,0.000019168192,0.000040364645,0.00012241366],"genre_scores_gemma":[0.9977514,0.0006029388,0.00066199404,0.000103319624,0.0007884973,0.000007180404,0.00004841578,0.000033577173,0.000002655131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969883,0.00048949436,0.0006618072,0.00036952776,0.001157392,0.00033348106],"domain_scores_gemma":[0.9980532,0.000053554922,0.0001886572,0.00043000863,0.00049748487,0.0007770835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009760904,0.00031543264,0.0012512442,0.00087453285,0.000067482884,0.000064542786,0.000099890545,0.00021534732,0.0000017333507],"category_scores_gemma":[0.000093144256,0.0002881804,0.0015799113,0.0005764768,0.00010821331,0.00033274552,0.00014069516,0.00052717165,0.0000017623876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010314803,0.00031010338,0.9621351,0.00008094169,0.012448476,0.0014594684,0.00021822126,0.00093722274,0.000068067784,0.000010971912,0.00042159064,0.020878408],"study_design_scores_gemma":[0.013726579,0.00081134937,0.97118527,0.00021070927,0.004529836,0.0035208196,0.000033502325,0.00020489976,0.00009600696,0.0000753279,0.0053471313,0.0002585668],"about_ca_topic_score_codex":0.000031616964,"about_ca_topic_score_gemma":0.0000011383091,"teacher_disagreement_score":0.034726884,"about_ca_system_score_codex":0.00008655842,"about_ca_system_score_gemma":0.00016513132,"threshold_uncertainty_score":0.999957},"labels":[],"label_agreement":null},{"id":"W1968926377","doi":"10.1016/j.jcct.2012.10.002","title":"Computed tomography–based sizing recommendations for transcatheter aortic valve replacement with balloon-expandable valves: Comparison with transesophageal echocardiography and rationale for implementation in a prospective trial","year":2012,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Medicine; Valve replacement; Regurgitation (circulation); Heart valve; Radiology; Aortic valve; Sizing; Balloon; Cardiology; Internal medicine; Stenosis","score_opus":0.018349708663645766,"score_gpt":0.3157527699333991,"score_spread":0.29740306126975335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968926377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6861893,0.013574888,0.29269713,0.00018817921,0.00029842954,0.006820839,0.00016964876,0.000044239943,0.000017365799],"genre_scores_gemma":[0.95446587,0.00007521328,0.044098966,0.00009233434,0.0003134928,0.0006200194,0.00027823157,0.00005528178,6.157488e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997324,0.00019140144,0.00085707754,0.00040714763,0.0007242404,0.0004961165],"domain_scores_gemma":[0.9980589,0.00024522463,0.00039817477,0.00031666187,0.00065304956,0.00032795072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009446905,0.00039142204,0.0012634807,0.0011353632,0.00020243623,0.000085412015,0.000087626795,0.00009308398,0.0000053357207],"category_scores_gemma":[0.000008860081,0.00030516103,0.0069973334,0.0010661508,0.0000895739,0.0003565037,0.000009043561,0.00020520054,1.02665936e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.057338834,0.0025090952,0.8524933,0.0004940729,0.06873695,0.0000058582277,0.0016889184,0.004422214,0.000024837058,0.00006573042,0.00019890578,0.012021297],"study_design_scores_gemma":[0.2428134,0.011553153,0.7166305,0.0006261172,0.023286326,0.0000724322,0.0013637932,0.0013370352,0.00056005205,0.00016828591,0.0010374526,0.0005514448],"about_ca_topic_score_codex":0.000021121296,"about_ca_topic_score_gemma":0.0000046843675,"teacher_disagreement_score":0.26827657,"about_ca_system_score_codex":0.000105627005,"about_ca_system_score_gemma":0.00020551901,"threshold_uncertainty_score":0.99994004},"labels":[],"label_agreement":null},{"id":"W1971946297","doi":"10.1016/j.jcct.2013.06.249","title":"Multimodality imaging of intramyocardial fat in tuberous sclerosis","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Boniface Hospital; University of Manitoba","funders":"","keywords":"Tuberous sclerosis; Medicine; Magnetic resonance imaging; Ventricle; Radiology; Differential diagnosis; Internal medicine; Cardiology; Pathology","score_opus":0.023915547794730905,"score_gpt":0.24601192139453826,"score_spread":0.22209637359980736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971946297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97410464,0.014850295,0.009123615,0.00046362603,0.00038138998,0.00070754683,0.000006559,0.00003559469,0.00032671794],"genre_scores_gemma":[0.9877989,0.00037496508,0.011244713,0.0000984307,0.00041955168,0.000012590551,0.0000052063374,0.000044234243,0.0000013516544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955833,0.0005159388,0.0012480897,0.00033556012,0.0017587566,0.00055837026],"domain_scores_gemma":[0.9968609,0.00021244313,0.00031859317,0.00081342075,0.0014248732,0.00036974667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015814435,0.0002925815,0.0016081983,0.0016013071,0.000053904703,0.00007021029,0.00041881262,0.00012877722,0.00006507735],"category_scores_gemma":[0.0001797686,0.0002559198,0.0032359757,0.0017420973,0.00023413556,0.0003629902,0.00016149764,0.00082748086,0.000013871958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005108172,0.0013274825,0.6340222,0.0004872699,0.011035441,0.00047545639,0.0006231489,0.013129704,0.026133247,0.00007534403,0.003881535,0.30829838],"study_design_scores_gemma":[0.006774055,0.00033746177,0.9805966,0.000808549,0.0005692085,0.0009124779,0.00013675482,0.0041117137,0.0045054494,0.00025543934,0.0007231184,0.00026917586],"about_ca_topic_score_codex":0.00097637536,"about_ca_topic_score_gemma":0.0000037627772,"teacher_disagreement_score":0.34657443,"about_ca_system_score_codex":0.00013376205,"about_ca_system_score_gemma":0.00012791075,"threshold_uncertainty_score":0.99998933},"labels":[],"label_agreement":null},{"id":"W1978121427","doi":"10.1016/j.jcct.2012.11.002","title":"SCCT expert consensus document on computed tomography imaging before transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR)","year":2012,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":629,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Regurgitation (circulation); Aortic valve; Cardiac skeleton; Radiology; Valve replacement; Ascending aorta; Prosthesis; Aortic valve replacement; Cardiology; Aorta; Surgery; Stenosis","score_opus":0.010730601319329887,"score_gpt":0.2811439039917321,"score_spread":0.2704133026724022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978121427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9349293,0.050812498,0.009782066,0.000276159,0.0022349993,0.0014805221,0.000055771634,0.00015379097,0.00027489883],"genre_scores_gemma":[0.99510014,0.00045018698,0.0024030972,0.0006701817,0.0010677386,0.00004986488,0.0001307245,0.00012266716,0.0000054172883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941357,0.000509274,0.0014923551,0.0006630626,0.0021158285,0.0010838246],"domain_scores_gemma":[0.9964262,0.00014684537,0.0005981896,0.0011250783,0.000673291,0.0010303927],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0011195954,0.0008292996,0.0017943634,0.0015332475,0.00025561315,0.0001410532,0.0002777654,0.00018554174,0.00005900245],"category_scores_gemma":[0.00001965822,0.0006759044,0.037273847,0.0010550711,0.0001885134,0.000316894,0.00005115696,0.00058323174,0.000026115973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037743484,0.0051552295,0.6015641,0.00070446345,0.256169,0.00021256585,0.0046324288,0.0019688115,0.00042597813,0.00010628919,0.0019098823,0.123376906],"study_design_scores_gemma":[0.019829316,0.0025466995,0.92952645,0.0016340652,0.03565476,0.0024181912,0.0005044763,0.0004553007,0.0013458325,0.00024495146,0.0047290158,0.001110964],"about_ca_topic_score_codex":0.000049712395,"about_ca_topic_score_gemma":4.49502e-7,"teacher_disagreement_score":0.3279623,"about_ca_system_score_codex":0.00026088973,"about_ca_system_score_gemma":0.00011865105,"threshold_uncertainty_score":0.99956924},"labels":[],"label_agreement":null},{"id":"W1980553865","doi":"10.1016/j.jcct.2013.01.001","title":"A prospective randomized trial comparing image quality, study interpretability, and radiation dose of narrow acquisition window with widened acquisition window protocols in prospectively ECG-triggered coronary computed tomography angiography","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Providence Health Care","funders":"","keywords":"Medicine; Interpretability; Window (computing); Image quality; Radiology; Coronary angiography; Tomography; Randomized controlled trial; Angiography; Computed tomography angiography; Radiation exposure; Nuclear medicine; Medical physics; Artificial intelligence; Internal medicine; Image (mathematics); Computer science","score_opus":0.010813198852938055,"score_gpt":0.2741666392218529,"score_spread":0.26335344036891484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980553865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94321626,0.0057789125,0.009445971,0.0000833552,0.00026625072,0.04095042,0.000017972878,0.00009103264,0.00014983659],"genre_scores_gemma":[0.99176514,0.000028141018,0.005500343,0.0000474504,0.00031259918,0.002243935,0.000036512953,0.000065116794,7.489371e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9923954,0.0022848626,0.002244548,0.0007772959,0.0017888064,0.0005090951],"domain_scores_gemma":[0.9941471,0.00082771963,0.001501993,0.0007944621,0.0023762544,0.00035247693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042652385,0.000654972,0.004094396,0.0029874586,0.00014693802,0.00025145445,0.00027785933,0.00021457268,0.0000106909465],"category_scores_gemma":[0.00023526313,0.0005386267,0.004405648,0.0030608657,0.0007085882,0.00091829564,0.000142795,0.0007424401,0.0000014156535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.24868934,0.0026863713,0.7333268,0.0003376471,0.0102931475,0.00014540149,0.001442572,0.001478735,0.0003493294,0.0000114488885,0.000043406886,0.00119581],"study_design_scores_gemma":[0.39400378,0.002733747,0.5980371,0.00081066886,0.0020623915,0.00029593814,0.0003517249,0.00059034355,0.0004015309,0.00038964543,0.000002282003,0.000320844],"about_ca_topic_score_codex":0.00034794793,"about_ca_topic_score_gemma":0.000007400469,"teacher_disagreement_score":0.14531446,"about_ca_system_score_codex":0.00017238181,"about_ca_system_score_gemma":0.00020829667,"threshold_uncertainty_score":0.9997065},"labels":[],"label_agreement":null},{"id":"W1981186485","doi":"10.1016/j.jcct.2012.04.004","title":"Effect of a novel vendor-specific motion-correction algorithm on image quality and diagnostic accuracy in persons undergoing coronary CT angiography without rate-control medications","year":2012,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; University of British Columbia","funders":"","keywords":"Medicine; Coronary angiography; Vendor; Radiology; Image quality; Angiography; Diagnostic accuracy; Algorithm; Cardiology; Image (mathematics); Artificial intelligence; Computer science; Myocardial infarction","score_opus":0.011923515320331627,"score_gpt":0.27591762036196676,"score_spread":0.2639941050416351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981186485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6774614,0.055832155,0.26378334,0.00019464918,0.0017555727,0.0007512454,0.000041202118,0.00004760222,0.00013287272],"genre_scores_gemma":[0.994758,0.0010613347,0.0034959174,0.000070748945,0.00054162025,0.000018031162,0.000020364096,0.000033264412,6.830967e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712783,0.00081105164,0.0007285,0.00024879343,0.0007406007,0.00034324932],"domain_scores_gemma":[0.9924157,0.0061170678,0.0004296126,0.0004283759,0.000301117,0.00030810738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033766648,0.00028326391,0.0011809174,0.0013884441,0.00009457121,0.000033811248,0.00010346784,0.000080164806,0.0000031338373],"category_scores_gemma":[0.0015019316,0.00024402222,0.0026679942,0.0011223352,0.00019614445,0.00028053124,0.000027818138,0.00054157793,0.0000011926271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046520395,0.0009831873,0.9024765,0.00027255734,0.007131764,0.0001814274,0.0003201826,0.0025096405,0.00031765856,0.000020490248,0.0006277,0.08469371],"study_design_scores_gemma":[0.013262321,0.00071792124,0.9775911,0.0009772839,0.00304047,0.00174219,0.00013103707,0.0011878372,0.0005935652,0.000009852514,0.00052166136,0.00022474567],"about_ca_topic_score_codex":0.000053935248,"about_ca_topic_score_gemma":8.851803e-7,"teacher_disagreement_score":0.31729665,"about_ca_system_score_codex":0.000079129364,"about_ca_system_score_gemma":0.00007704427,"threshold_uncertainty_score":0.9950937},"labels":[],"label_agreement":null},{"id":"W1984226120","doi":"10.1016/j.jcct.2013.01.011","title":"Stanford type A aortic dissection with pulmonary arterial intramural hematoma and pulmonary hemorrhage","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Boniface Hospital; University of Manitoba","funders":"","keywords":"Medicine; Hematoma; Aortic dissection; Pulmonary hemorrhage; Radiology; Pulmonary artery; Complication; Dissection (medical); Cardiology; Aorta; Internal medicine; Surgery; Lung","score_opus":0.007966620389224206,"score_gpt":0.19989004820000472,"score_spread":0.1919234278107805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984226120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98810166,0.007308452,0.0033569285,0.00011186187,0.00019979292,0.00044777547,0.0000016902598,0.000046782417,0.0004250272],"genre_scores_gemma":[0.99623847,0.000121663914,0.0031412248,0.00003813428,0.0003885479,0.000011805019,0.000017045237,0.000030379559,0.00001272077],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99846804,0.00006762596,0.00040824362,0.00022300349,0.0005819139,0.00025117883],"domain_scores_gemma":[0.9988838,0.000026001167,0.00013227478,0.00031057652,0.0003177467,0.00032960364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016401679,0.00024255694,0.0006756441,0.00033247325,0.00007786946,0.00007591621,0.000076004646,0.000082380546,0.0000327831],"category_scores_gemma":[0.000009841772,0.00016482368,0.00074300455,0.0005387087,0.00011432431,0.00034326594,0.0000309828,0.00021299445,0.000005009066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008522772,0.0043042405,0.27960348,0.0017852789,0.05426401,0.028355489,0.0006090961,0.00062311697,0.0037543455,0.000142319,0.0005977481,0.6174381],"study_design_scores_gemma":[0.008675013,0.0034878186,0.9061518,0.00071218895,0.0108304545,0.053833473,0.00095634855,0.011512384,0.0013382654,0.00070267316,0.0010598089,0.0007398041],"about_ca_topic_score_codex":0.000016910206,"about_ca_topic_score_gemma":2.4712438e-7,"teacher_disagreement_score":0.6265483,"about_ca_system_score_codex":0.000028373754,"about_ca_system_score_gemma":0.00007523834,"threshold_uncertainty_score":0.6721314},"labels":[],"label_agreement":null},{"id":"W1992108423","doi":"10.1016/j.jcct.2013.12.017","title":"Cardiovascular CT in the diagnosis of pericardial constriction: Predictive value of inferior vena cava cross-sectional area","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Pericarditis and Cardiac Tamponade","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Constriction; Inferior vena cava; Receiver operating characteristic; Radiology; Cardiology; Internal medicine","score_opus":0.011912237440379841,"score_gpt":0.23770968407540916,"score_spread":0.22579744663502932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992108423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94283473,0.031196669,0.022268355,0.00005086275,0.0012510367,0.00056115637,0.00007042473,0.000023647717,0.0017431072],"genre_scores_gemma":[0.9961996,0.0016757239,0.0007744341,0.00006813107,0.0011952445,0.000037996797,0.000015351095,0.00003261769,9.115979e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99428725,0.0010756693,0.0013458336,0.00037960318,0.0025496632,0.00036198937],"domain_scores_gemma":[0.9966609,0.00042436944,0.0005835035,0.0009621293,0.0011699534,0.00019917038],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0035427338,0.0003454903,0.0022757573,0.0009203031,0.000104872095,0.000047421516,0.00039713155,0.00016715014,0.000012803182],"category_scores_gemma":[0.00032884243,0.0002608904,0.011114926,0.0017839064,0.00053379417,0.00019826344,0.000081174134,0.00072127086,9.438101e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030547712,0.00034432713,0.8899133,0.00016758531,0.022542343,0.00032206744,0.00026590007,0.07513803,0.00006859065,0.00012285994,0.00041316095,0.010396331],"study_design_scores_gemma":[0.0047757938,0.0008867142,0.944833,0.00025641097,0.0029873915,0.0033236374,0.00013967286,0.00042461432,0.0006406439,0.00006789819,0.04144278,0.00022148812],"about_ca_topic_score_codex":0.0001202443,"about_ca_topic_score_gemma":4.6749986e-7,"teacher_disagreement_score":0.07471342,"about_ca_system_score_codex":0.00010239596,"about_ca_system_score_gemma":0.00027064607,"threshold_uncertainty_score":0.9999843},"labels":[],"label_agreement":null},{"id":"W1998594560","doi":"10.1016/j.jcct.2013.01.008","title":"Relationship of low- and high-density lipoproteins to coronary artery plaque composition by CT angiography","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Medicine; Odds ratio; Internal medicine; Coronary artery disease; Cardiology; Cholesterol; High-density lipoprotein; Computed tomographic angiography; Prospective cohort study; Statin; Angiography","score_opus":0.005574142028193398,"score_gpt":0.1973656712004967,"score_spread":0.1917915291723033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998594560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94407177,0.014687984,0.03975899,0.0005158465,0.0003344784,0.00051090104,0.000021462354,0.000035557347,0.000063008905],"genre_scores_gemma":[0.99159575,0.0001188097,0.0077459053,0.00023293566,0.00024144098,0.000006994937,0.000031546617,0.000024614877,0.0000019894208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981468,0.00017876599,0.0005620628,0.00021289379,0.00068475684,0.0002147367],"domain_scores_gemma":[0.99809957,0.00021931554,0.00022198059,0.00040689594,0.00070244534,0.00034978223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047792538,0.00020653162,0.00084760314,0.0009210395,0.00008090978,0.000046412864,0.00009380068,0.00007625375,0.0000053747526],"category_scores_gemma":[0.000058151636,0.00019014458,0.0021828085,0.0008442701,0.00012668889,0.0001866465,0.00004897853,0.0003382124,0.000004668736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004467151,0.0008189344,0.9134574,0.00058206695,0.015283101,0.0010216888,0.00030381302,0.0032995848,0.0040865,0.00012701596,0.0342777,0.026295511],"study_design_scores_gemma":[0.0028453583,0.00048684006,0.987227,0.0005563,0.0016356774,0.0029575778,0.000039843835,0.00008518729,0.0029840562,0.0002614454,0.0007185948,0.00020207331],"about_ca_topic_score_codex":0.00013296548,"about_ca_topic_score_gemma":5.375861e-7,"teacher_disagreement_score":0.07376967,"about_ca_system_score_codex":0.000025496263,"about_ca_system_score_gemma":0.00004241178,"threshold_uncertainty_score":0.7753871},"labels":[],"label_agreement":null},{"id":"W2007979305","doi":"10.1016/j.jcct.2013.05.005","title":"Rationale and design of the ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) trial","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Coronary artery disease; Coronary arteries; Radiology; Gold standard (test); Algorithm; Diagnostic accuracy; Cardiology; Artery; Computer science","score_opus":0.01325591172533095,"score_gpt":0.23654124943813928,"score_spread":0.22328533771280834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007979305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36276507,0.0027310452,0.6315442,0.00006582965,0.0014879828,0.0013786061,0.000007967531,0.000010140923,0.000009166084],"genre_scores_gemma":[0.9775258,0.00018102335,0.021541698,0.000030056115,0.000655487,0.00002977562,0.000017346909,0.000016944134,0.0000018839584],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984498,0.00028914213,0.000527728,0.00012240736,0.0005079988,0.00010291296],"domain_scores_gemma":[0.99694353,0.0012852825,0.00043807604,0.00025640486,0.000994853,0.00008186941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009443313,0.00011349273,0.0004987701,0.00028899836,0.0000606985,0.000028459424,0.00007855971,0.000048572125,0.0000032502364],"category_scores_gemma":[0.0012557064,0.000085433574,0.0010192054,0.00033934944,0.00008878867,0.0002607727,0.000017985249,0.00015030158,2.2257487e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021235067,0.0011352524,0.007991116,0.00027589244,0.006628554,0.000021295911,0.00047196713,0.13051493,0.002007904,0.000021482547,0.004287415,0.8445207],"study_design_scores_gemma":[0.12974039,0.005488652,0.49492913,0.0015045981,0.012594882,0.002611915,0.000522139,0.23782775,0.10833071,0.0017337386,0.0040464117,0.00066968193],"about_ca_topic_score_codex":0.000024951893,"about_ca_topic_score_gemma":1.1441165e-7,"teacher_disagreement_score":0.843851,"about_ca_system_score_codex":0.000023971435,"about_ca_system_score_gemma":0.00009963506,"threshold_uncertainty_score":0.348388},"labels":[],"label_agreement":null},{"id":"W2013546957","doi":"10.1016/j.jcct.2015.01.002","title":"A randomized, multicenter, multivendor study of myocardial perfusion imaging with regadenoson CT perfusion vs single photon emission CT","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Regadenoson; Medicine; Myocardial perfusion imaging; Perfusion; Coronary artery disease; Single-photon emission computed tomography; Nuclear medicine; Perfusion scanning; Confidence interval; Cardiology; Radiology; Internal medicine","score_opus":0.014203961401655923,"score_gpt":0.24524387506204545,"score_spread":0.23103991366038953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013546957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96980923,0.020812925,0.006252532,0.00010130667,0.0011083501,0.0014620143,0.000005485384,0.000064578075,0.00038356785],"genre_scores_gemma":[0.9958174,0.0002661519,0.0031457643,0.000061732964,0.00060664915,0.000011167705,0.000012227542,0.00007025567,0.00000863738],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9946438,0.0011060634,0.0011105976,0.00044746624,0.0022962668,0.00039579647],"domain_scores_gemma":[0.9956532,0.00043244183,0.00074367,0.000747727,0.0018718176,0.0005511336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028526578,0.00045434697,0.0026944918,0.0011067393,0.00012169022,0.000075499294,0.00022527427,0.00004800392,0.0000046814066],"category_scores_gemma":[0.0007314944,0.00032224457,0.0035589703,0.0008944572,0.00021706359,0.00024395397,0.00014735575,0.00063730794,0.0000019718793],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.30688965,0.012680485,0.523363,0.000574922,0.02418226,0.018515773,0.009356501,0.026299622,0.005616566,0.0000032662417,0.005363538,0.067154445],"study_design_scores_gemma":[0.8962172,0.0050751492,0.024945417,0.0039376356,0.018271986,0.01132723,0.00553216,0.009626722,0.014929585,0.000015778432,0.009267892,0.000853236],"about_ca_topic_score_codex":0.0002749164,"about_ca_topic_score_gemma":0.0000011025837,"teacher_disagreement_score":0.5893276,"about_ca_system_score_codex":0.00014000287,"about_ca_system_score_gemma":0.0002142163,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W2014419720","doi":"10.1016/j.jcct.2013.12.020","title":"Oversizing in transcatheter aortic valve replacement, a commonly used term but a poorly understood one: Dependency on definition and geometrical measurements","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; McGill University","funders":"","keywords":"Perimeter; Cardiac skeleton; Medicine; Prosthesis; Stenosis; Aortic valve; Valve replacement; Annulus (botany); Cardiology; Aortic valve stenosis; Nuclear medicine; Aortic valve replacement; Internal medicine; Surgery; Mathematics; Geometry; Materials science","score_opus":0.04147906887877236,"score_gpt":0.2757476627978319,"score_spread":0.23426859391905955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014419720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856899,0.006405835,0.0067057917,0.000083775245,0.0001997013,0.00041367268,0.000008613983,0.000023176788,0.00046955442],"genre_scores_gemma":[0.998525,0.0002415107,0.00086265645,0.00019231909,0.0001247022,0.0000067479305,0.0000147763285,0.000031308802,9.480691e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971279,0.00031452512,0.00058184145,0.00032652478,0.0013316907,0.0003175528],"domain_scores_gemma":[0.99868405,0.00015830791,0.00022230657,0.00041115706,0.00020937652,0.00031480344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008778837,0.0002674588,0.0009458143,0.0013930374,0.00007799847,0.000059943697,0.00009917173,0.000114417686,0.000006705985],"category_scores_gemma":[0.00008565673,0.00024017613,0.0066335257,0.0007868716,0.000051393006,0.00014316489,0.000026888818,0.00033928733,0.0000025240215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014199009,0.0018725599,0.93494695,0.0002229331,0.039422013,0.00007158665,0.00024729423,0.0003224168,0.00016307716,0.00006269839,0.000046395424,0.021202171],"study_design_scores_gemma":[0.018057564,0.0020147997,0.9695808,0.0006849507,0.008358435,0.0002438117,0.000058846785,0.00009178907,0.00015306105,0.0003882964,0.00011617636,0.00025145302],"about_ca_topic_score_codex":0.00003788198,"about_ca_topic_score_gemma":0.0000018518259,"teacher_disagreement_score":0.034633864,"about_ca_system_score_codex":0.0001574706,"about_ca_system_score_gemma":0.00006079934,"threshold_uncertainty_score":0.9794098},"labels":[],"label_agreement":null},{"id":"W2017630418","doi":"10.1016/j.jcct.2014.06.003","title":"Reduced iodine load with CT coronary angiography using dual-energy imaging: A prospective randomized trial compared with standard coronary CT angiography","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; St. Paul's Hospital","funders":"National Heart, Lung, and Blood Institute; Centre National de la Recherche Scientifique","keywords":"Medicine; Iodinated contrast; Image quality; Nuclear medicine; Radiology; Angiography; Iopamidol; Contrast medium; Computed tomography","score_opus":0.005196574706421629,"score_gpt":0.1932803732009696,"score_spread":0.18808379849454798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017630418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38624352,0.04338674,0.56746835,0.000025021724,0.00087726966,0.0010603871,0.000025365434,0.00038757428,0.0005257639],"genre_scores_gemma":[0.97067696,0.00029788163,0.02810404,0.000048307415,0.0006322999,0.000044834596,0.000021589214,0.00017242922,0.0000016422679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99482065,0.00062754774,0.0012147749,0.00060534116,0.0019046632,0.0008270271],"domain_scores_gemma":[0.9967927,0.00026891276,0.0006011932,0.0008249933,0.0010810709,0.0004311359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016278047,0.00089822186,0.0029778895,0.0019956152,0.0003006297,0.00020029201,0.00044833028,0.00006212582,0.000007962949],"category_scores_gemma":[0.00002632807,0.0006976467,0.0071463864,0.0032350386,0.0006273198,0.0007985701,0.00006745232,0.00069781614,5.4335385e-7],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.31443492,0.00027208726,0.005537599,0.000119113836,0.049344547,0.0024827977,0.00032800355,0.61714125,0.0002269402,0.00013162829,0.0002710721,0.009710046],"study_design_scores_gemma":[0.9241016,0.0016101692,0.0036996633,0.0010978169,0.009166326,0.011825416,0.00030495803,0.03736514,0.0010823422,0.00087123935,0.007053292,0.0018220381],"about_ca_topic_score_codex":0.000038787635,"about_ca_topic_score_gemma":0.0000035608875,"teacher_disagreement_score":0.6096667,"about_ca_system_score_codex":0.00020040729,"about_ca_system_score_gemma":0.00016397152,"threshold_uncertainty_score":0.9995475},"labels":[],"label_agreement":null},{"id":"W2020375409","doi":"10.1016/j.jcct.2010.04.002","title":"Role of MDCT coronary angiography in the evaluation of septal vs interarterial course of anomalous left coronary arteries","year":2010,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto General Hospital; Ottawa Hospital; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Coronary angiography; Coronary arteries; Angiography; Conventional angiography; Radiology; Artery; Myocardial infarction","score_opus":0.012351092809853277,"score_gpt":0.24193701696812844,"score_spread":0.22958592415827517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020375409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9548139,0.037564334,0.00016639802,0.004184072,0.0015424844,0.0012348038,0.0001876756,0.000018973731,0.00028738088],"genre_scores_gemma":[0.9943128,0.0002541854,0.000723155,0.0026228775,0.0017661744,0.000012799207,0.00023486956,0.00007059333,0.0000025477757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9923366,0.0016596626,0.0021534804,0.00042452256,0.003005815,0.00041993867],"domain_scores_gemma":[0.9944166,0.00034327133,0.001873058,0.0013696387,0.0019011197,0.00009631282],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0032825863,0.00062551216,0.0028091734,0.0022120916,0.000055562046,0.000028117887,0.0008510202,0.0009572907,0.00009798388],"category_scores_gemma":[0.00004586007,0.00048403963,0.010369997,0.0009834742,0.00088393624,0.00033039888,0.00012747357,0.0026145778,7.180035e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014077617,0.005800137,0.400397,0.005502809,0.16342172,0.008650523,0.01688785,0.0028182701,0.011215795,0.00002985771,0.09378094,0.27741748],"study_design_scores_gemma":[0.009120743,0.005787121,0.86977863,0.0023748635,0.018029325,0.0150882965,0.0010072392,0.00034196436,0.0009838601,0.00042859485,0.07640336,0.00065602525],"about_ca_topic_score_codex":0.000024618645,"about_ca_topic_score_gemma":0.0000107834,"teacher_disagreement_score":0.4693816,"about_ca_system_score_codex":0.00004295661,"about_ca_system_score_gemma":0.0005188434,"threshold_uncertainty_score":0.9997611},"labels":[],"label_agreement":null},{"id":"W2023094491","doi":"10.1016/j.jcct.2015.02.007","title":"Prediction of fluoroscopic angulation and coronary sinus location by CT in the context of transcatheter mitral valve implantation","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Medicine; Coronary sinus; Fluoroscopy; Mitral valve; Mitral regurgitation; Trigone of urinary bladder; Coronal plane; Cardiology; Anatomy; Radiology","score_opus":0.015337823585243972,"score_gpt":0.25794272268748425,"score_spread":0.24260489910224028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023094491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529453,0.0434967,0.0030015197,0.000025887097,0.00014529677,0.00031441226,0.00004310769,0.0000042646843,0.000023509267],"genre_scores_gemma":[0.9993938,0.00023538759,0.00019756518,0.000023812892,0.000058408572,0.000003475412,0.000079253135,0.000007927072,3.603514e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871486,0.00017762379,0.0004127144,0.000097414915,0.0005143278,0.00008304162],"domain_scores_gemma":[0.9991611,0.0000400064,0.0002030264,0.00016204151,0.0003610316,0.000072784256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044418452,0.00010002435,0.0004223358,0.0002470652,0.000015877167,0.000008211225,0.000046364963,0.000038309845,6.500162e-7],"category_scores_gemma":[0.000012439772,0.000072280556,0.0033369064,0.00033952712,0.00005691085,0.000121481906,0.000005033417,0.00008814637,1.0055055e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008010298,0.0006228406,0.9275817,0.00024113874,0.020227065,0.00005163509,0.0020098472,0.0016303385,0.00037957475,0.000018503502,0.00031737585,0.046118904],"study_design_scores_gemma":[0.0060799373,0.00071785593,0.9862614,0.00018425971,0.0047750864,0.00061075535,0.0005376831,0.00017685525,0.00044333836,0.000056104636,0.00010847538,0.00004819235],"about_ca_topic_score_codex":0.000063497966,"about_ca_topic_score_gemma":7.698953e-7,"teacher_disagreement_score":0.058679707,"about_ca_system_score_codex":0.000029422536,"about_ca_system_score_gemma":0.00005884411,"threshold_uncertainty_score":0.33653596},"labels":[],"label_agreement":null},{"id":"W2031550416","doi":"10.1016/j.jcct.2010.08.006","title":"What is the optimal number of readers needed to achieve high diagnostic accuracy in coronary computed tomographic angiography? A comparison of alternate reader combinations","year":2010,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Computed tomographic angiography; Computed tomographic; Coronary angiography; Radiology; Angiography; Diagnostic accuracy; Computed tomography; Cardiology; Myocardial infarction","score_opus":0.01242823908424149,"score_gpt":0.28205426799390615,"score_spread":0.26962602890966464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031550416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723177,0.0124997,0.0083314525,0.0035645724,0.0022628761,0.0008890318,0.000037294903,0.000039875245,0.000057490655],"genre_scores_gemma":[0.98938733,0.0007850081,0.008925275,0.00053548283,0.00026359656,0.000013557575,0.000033273598,0.000054630378,0.0000018516547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957033,0.00037859424,0.0015543222,0.0003859233,0.0014990397,0.00047883755],"domain_scores_gemma":[0.9938002,0.0023909071,0.00080140575,0.0011027773,0.0015405304,0.00036414945],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013555193,0.0004251587,0.0018873952,0.0020284876,0.00009599927,0.00010192308,0.0005931864,0.0002248072,0.000015031662],"category_scores_gemma":[0.00050757267,0.00034414927,0.0048128893,0.0037539122,0.00050171476,0.00039213692,0.00016165583,0.0012149287,0.000002848928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012900733,0.0037596188,0.8844183,0.00041586344,0.0243362,0.0006778815,0.008284231,0.037950266,0.000901586,0.000391571,0.012357365,0.025217047],"study_design_scores_gemma":[0.012031703,0.0012563084,0.96272844,0.0023146148,0.0055274596,0.0021771886,0.0042200913,0.0020545598,0.0035073406,0.00057794293,0.002968857,0.0006355198],"about_ca_topic_score_codex":0.00046432987,"about_ca_topic_score_gemma":0.000011666793,"teacher_disagreement_score":0.07831012,"about_ca_system_score_codex":0.000027732262,"about_ca_system_score_gemma":0.00015437817,"threshold_uncertainty_score":0.99990106},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.041869357456574226,"score_gpt":0.30511247105321826,"score_spread":0.26324311359664404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031576042","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21557637,0.2630072,0.51672626,0.0014248262,0.0016798472,0.001399004,0.000047108806,0.000054905497,0.000084519146],"genre_scores_gemma":[0.93822235,0.0012055688,0.059552576,0.00028717282,0.0006447714,0.000012442391,0.000020389005,0.00005270079,0.0000020378104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9928695,0.00039220258,0.004360235,0.00039348486,0.0016712002,0.0003133604],"domain_scores_gemma":[0.985042,0.0009507073,0.0044067595,0.0015771693,0.007876976,0.00014643281],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00928201,0.00039667467,0.0026333868,0.0006219476,0.0001715567,0.000033203884,0.0004168046,0.00012777222,8.383915e-7],"category_scores_gemma":[0.0029960999,0.00025125258,0.025505595,0.0017458984,0.00064282486,0.00012697712,0.00019354401,0.00039713655,3.818887e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051538856,0.00037701603,0.50924426,0.0024239253,0.15588209,0.00020142023,0.0006597051,0.16616207,0.00052176946,0.000081858845,0.033148017,0.1307825],"study_design_scores_gemma":[0.012047388,0.0012766813,0.7429822,0.0067853318,0.055848926,0.01788768,0.0011110061,0.07105319,0.005456168,0.00085659313,0.083828434,0.00086636783],"about_ca_topic_score_codex":0.00019032937,"about_ca_topic_score_gemma":0.0000014518025,"teacher_disagreement_score":0.722646,"about_ca_system_score_codex":0.000019508703,"about_ca_system_score_gemma":0.00019019138,"threshold_uncertainty_score":0.999994},"labels":[],"label_agreement":null},{"id":"W2034409872","doi":"10.1016/j.jcct.2014.09.007","title":"Utility of coronary CT angiography in outpatients with hypertrophic cardiomyopathy presenting with angina symptoms","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Cardiology; Internal medicine; Chest pain; Stenosis; Coronary artery disease; Interquartile range; Radiology; Coronary arteries; Angina; Artery; Myocardial infarction","score_opus":0.006538744082412003,"score_gpt":0.20154946104293187,"score_spread":0.19501071696051986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034409872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674964,0.015287443,0.01556291,0.00003458827,0.00026945365,0.0003695897,0.000008414858,0.000036407073,0.00093479303],"genre_scores_gemma":[0.9955965,0.00007874606,0.0039905296,0.000042919542,0.00022816344,0.0000045770394,0.000011374144,0.000045725876,0.0000014427164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968963,0.00033659735,0.0006791543,0.00033203972,0.00135349,0.00040239902],"domain_scores_gemma":[0.9975623,0.00018345083,0.00039319252,0.0007492857,0.0008653081,0.00024644675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010160612,0.00032254987,0.0015465296,0.0015000604,0.00005403154,0.000029090303,0.00019367316,0.000065794506,0.0000020135715],"category_scores_gemma":[0.00008301695,0.00023628831,0.0032684305,0.0019405696,0.00026342864,0.00016830054,0.00005809305,0.00045760476,5.2392426e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005929646,0.00029565135,0.97571117,0.00021443328,0.0073832367,0.0010245566,0.00010494106,0.0061532822,0.00001086749,0.0000067854344,0.00014375469,0.008358346],"study_design_scores_gemma":[0.007977159,0.0012255666,0.97917765,0.00084269093,0.0031943065,0.0032605974,0.00006413009,0.0009008063,0.00020319753,0.000017410306,0.0028798596,0.00025664104],"about_ca_topic_score_codex":0.00006454991,"about_ca_topic_score_gemma":0.0000016932926,"teacher_disagreement_score":0.028100122,"about_ca_system_score_codex":0.000020717063,"about_ca_system_score_gemma":0.00011891483,"threshold_uncertainty_score":0.96355575},"labels":[],"label_agreement":null},{"id":"W2036395233","doi":"10.1016/j.jcct.2010.05.017","title":"Coronary artery to main pulmonary artery fistulae via a Vieussens' arterial ring","year":2010,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Cardiology; Artery; Internal medicine; Pulmonary artery; Coronary arteries; Radiology","score_opus":0.007517686867695875,"score_gpt":0.2124547555024134,"score_spread":0.20493706863471753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036395233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708534,0.001879567,0.02102837,0.00071612996,0.0037724967,0.0006319948,0.000015915886,0.00011771472,0.0009844019],"genre_scores_gemma":[0.985504,0.000051928117,0.0103982035,0.00059500005,0.0033056305,0.000013235853,0.000018716619,0.000080793834,0.00003249625],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961325,0.00027204608,0.0011590129,0.0005285719,0.0012612905,0.0006465718],"domain_scores_gemma":[0.99711674,0.00013817905,0.00031160543,0.0012052814,0.00045940717,0.00076878595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012444662,0.0005134613,0.001481949,0.0013129972,0.00018962388,0.000101135345,0.00044631097,0.00024937824,0.0001036365],"category_scores_gemma":[0.000051081126,0.00047487198,0.0034778663,0.0009471603,0.00018545629,0.00043317635,0.00018044525,0.0011381124,0.000047153826],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008360647,0.003032861,0.058412757,0.000642041,0.03691569,0.106803864,0.0015815625,0.003556723,0.3278755,0.00016136585,0.0061543803,0.4465026],"study_design_scores_gemma":[0.006922498,0.0020757632,0.64622676,0.0006171201,0.0028108945,0.21077147,0.00015774043,0.0011590273,0.0024751464,0.0004835609,0.12523933,0.0010606796],"about_ca_topic_score_codex":0.0000046059536,"about_ca_topic_score_gemma":0.0000054572356,"teacher_disagreement_score":0.58781403,"about_ca_system_score_codex":0.00005869411,"about_ca_system_score_gemma":0.0001635426,"threshold_uncertainty_score":0.9997703},"labels":[],"label_agreement":null},{"id":"W2049721842","doi":"10.1016/j.jcct.2015.04.002","title":"The impact of calcium volume and distribution in aortic root injury related to balloon-expandable transcatheter aortic valve replacement","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Saint John Regional Hospital; Université Laval; St. Paul's Hospital","funders":"Hjerteforeningen; Edwards Lifesciences","keywords":"Medicine; Cardiology; Ventricular outflow tract; Internal medicine; Aortic valve; Cardiac skeleton; Valve replacement; Confidence interval; Aortic root; Aorta; Stenosis","score_opus":0.010389194412939555,"score_gpt":0.2984672949956031,"score_spread":0.28807810058266353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049721842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778372,0.019035244,0.0022255185,0.0000906665,0.00022609578,0.0004921667,0.000038293754,0.000011606718,0.000043196473],"genre_scores_gemma":[0.9995829,0.00020697244,0.0000806766,0.000010623059,0.000057883608,0.000009143845,0.0000249087,0.000019657962,0.000007235186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782825,0.00020000727,0.00072635897,0.00020909021,0.00073687703,0.00029941727],"domain_scores_gemma":[0.99833447,0.000039082206,0.00020999723,0.00044764724,0.0005036789,0.00046511574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010676075,0.00021335135,0.00081801985,0.00029982853,0.00005416,0.000037977978,0.00010088519,0.00008343586,0.0000035329058],"category_scores_gemma":[0.00006735188,0.00013754926,0.0075251414,0.0007840182,0.000071959956,0.00010179651,0.00003865265,0.0002160681,0.0000016430229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023160304,0.0005833736,0.93400043,0.000055379187,0.03918429,0.000034222492,0.00038533643,0.006778487,0.00006770378,0.00000842699,0.0011632405,0.0154231],"study_design_scores_gemma":[0.0057726786,0.0022867413,0.98547995,0.00023455225,0.004111756,0.00014455119,0.00009067342,0.00081294065,0.00010311078,0.00013399248,0.00068222795,0.00014680286],"about_ca_topic_score_codex":0.00016289133,"about_ca_topic_score_gemma":8.3831924e-7,"teacher_disagreement_score":0.051479563,"about_ca_system_score_codex":0.00020749785,"about_ca_system_score_gemma":0.00019077167,"threshold_uncertainty_score":0.7589307},"labels":[],"label_agreement":null},{"id":"W2050476332","doi":"10.1016/j.jcct.2015.04.004","title":"Iterative reconstruction in cardiac CT","year":2015,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Iterative reconstruction; Image quality; Radiation dose; Radiology; Cardiac imaging; Image noise; Medical physics; Computed tomography; Noise (video); Nuclear medicine; Artificial intelligence; Image (mathematics); Computer science","score_opus":0.03151821235973624,"score_gpt":0.29890181976430724,"score_spread":0.267383607404571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050476332","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008637582,0.99579036,0.0007900659,0.000014552635,0.0018241866,0.00053861225,0.000009785318,0.000020655645,0.0009254019],"genre_scores_gemma":[0.00011253868,0.9967972,0.001521058,0.00002057349,0.0014504151,0.00000837881,0.000030198054,0.000049212922,0.000010432619],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965078,0.0007530121,0.0013127635,0.00028923628,0.00088845566,0.00024869497],"domain_scores_gemma":[0.9978875,0.000076516386,0.00075487327,0.0004872307,0.00053658726,0.00025730426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019464357,0.00038994924,0.004624942,0.0026610782,0.000032733806,0.000070932176,0.00018977346,0.0001549665,0.000007170236],"category_scores_gemma":[0.00006874184,0.00030577098,0.008387711,0.0019109604,0.00006605616,0.00029034523,0.00003508517,0.0010586559,0.000008985843],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011791135,0.000037554782,0.00019638395,0.001798264,0.011070763,0.00063351326,0.000043863896,0.00012046702,5.6507155e-8,0.0000042801116,0.0011239729,0.98495907],"study_design_scores_gemma":[0.0012881737,0.00012285248,0.00010979911,0.014384375,0.0069589885,0.008016367,0.00002915399,0.00004040633,0.0000020149866,0.000023612849,0.9687764,0.0002478652],"about_ca_topic_score_codex":0.0000064426963,"about_ca_topic_score_gemma":1.4484677e-7,"teacher_disagreement_score":0.9847112,"about_ca_system_score_codex":0.00025386948,"about_ca_system_score_gemma":0.00071435055,"threshold_uncertainty_score":0.99993944},"labels":[],"label_agreement":null},{"id":"W2052209391","doi":"10.1016/j.jcct.2011.01.007","title":"Rationale and design of the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) Registry","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":171,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Coronary artery disease; Unstable angina; Revascularization; Myocardial infarction; Asymptomatic; Radiology; Internal medicine; Cardiology","score_opus":0.09785314787814431,"score_gpt":0.3381583319658903,"score_spread":0.24030518408774598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052209391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72368586,0.02081907,0.2488961,0.00026604778,0.0037096825,0.0022566332,0.000062805135,0.00003127987,0.00027252134],"genre_scores_gemma":[0.9710603,0.00038296025,0.028021235,0.00017417019,0.00031123267,0.000013574721,0.000017420272,0.00001716126,0.0000019700312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782795,0.00038256912,0.0006899354,0.00018931816,0.000789768,0.00012047728],"domain_scores_gemma":[0.9972435,0.00040161566,0.00043227375,0.00044622202,0.0013457782,0.00013056815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026593548,0.00014125174,0.0005734857,0.0003227356,0.000056493904,0.00002128694,0.0002002413,0.00005883033,0.0000062171143],"category_scores_gemma":[0.00051425607,0.000100009376,0.003527718,0.00024023368,0.00019952346,0.0001629851,0.000037966503,0.00019773096,1.7552193e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046985803,0.00042341254,0.9743995,0.00003955131,0.010648553,0.00003243744,0.00015862338,0.0010965593,0.000015221428,0.00004727552,0.0008270873,0.011841898],"study_design_scores_gemma":[0.0070423745,0.00037091636,0.9816506,0.00015364536,0.0040419498,0.00049383444,0.00010199998,0.0031666856,0.000107320004,0.0002178001,0.0025512807,0.00010159957],"about_ca_topic_score_codex":0.000010607784,"about_ca_topic_score_gemma":3.2514947e-7,"teacher_disagreement_score":0.24737443,"about_ca_system_score_codex":0.000016932956,"about_ca_system_score_gemma":0.00014398592,"threshold_uncertainty_score":0.4078264},"labels":[],"label_agreement":null},{"id":"W2052977262","doi":"10.1016/j.jcct.2012.07.002","title":"Dual-energy CT and its potential use for quantitative myocardial CT perfusion","year":2012,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Lawson Health Research Institute; Robarts Clinical Trials","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Medicine; Monochromatic color; Perfusion; Nuclear medicine; Coronary artery disease; Perfusion scanning; Radiology; Dual energy; Internal medicine; Optics","score_opus":0.02778693202059694,"score_gpt":0.2541165246471694,"score_spread":0.22632959262657243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052977262","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010603835,0.79578847,0.20158331,0.0000019319607,0.0020578974,0.00031081052,0.000054555894,0.00006947812,0.000027514088],"genre_scores_gemma":[0.0025484064,0.9886334,0.007100418,0.000008488795,0.0014858822,0.000020628273,0.000044242825,0.00015417705,0.0000043832392],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972928,0.00029340386,0.0009665249,0.0003073942,0.00062420376,0.0005156272],"domain_scores_gemma":[0.99836665,0.00024555848,0.00038866536,0.00036207685,0.00035323907,0.0002837826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007217701,0.00066477177,0.0029072913,0.0010270712,0.00015130207,0.00014254237,0.0002521498,0.00011226963,0.0000027006458],"category_scores_gemma":[0.00003412727,0.00057545316,0.0069770133,0.0006616596,0.000056196663,0.0007045805,0.0000904091,0.00065986795,0.0000022107781],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001908006,0.000035673915,0.0000016470796,0.0037314678,0.014579146,0.00045160495,0.00003206535,0.032817114,0.000004136204,0.00022224821,0.00027757388,0.94782823],"study_design_scores_gemma":[0.00089734816,0.000097858596,0.000010694243,0.002960281,0.009563106,0.0046229237,0.000013431364,0.0024789404,0.0000115509265,0.000049541373,0.97867733,0.00061697327],"about_ca_topic_score_codex":0.0000023947684,"about_ca_topic_score_gemma":2.2727096e-7,"teacher_disagreement_score":0.97839975,"about_ca_system_score_codex":0.00006571684,"about_ca_system_score_gemma":0.00006226419,"threshold_uncertainty_score":0.9996697},"labels":[],"label_agreement":null},{"id":"W2054220324","doi":"10.1016/j.jcct.2014.07.002","title":"Fractional flow reserve derived from coronary CT angiography: Variation of repeated analyses","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"Novo Nordisk Fonden; Universitätsklinikum Erlangen; Aarhus Universitetshospital","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Cardiology; Reproducibility; Computed tomography angiography; Coronary angiography; Confidence interval; Internal medicine; Angiography; Coefficient of variation; Radiology; Nuclear medicine; Myocardial infarction","score_opus":0.01903175185490244,"score_gpt":0.264544485030999,"score_spread":0.24551273317609654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054220324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69069,0.027289368,0.28030288,0.00014788524,0.00094875664,0.00018298777,0.00004780197,0.000057329544,0.00033304814],"genre_scores_gemma":[0.9711712,0.00026411144,0.02749752,0.000105118306,0.00081768155,0.0000019938607,0.00011251029,0.00002846586,0.0000013948974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711245,0.00043572733,0.0007899092,0.00025868873,0.0011930586,0.00021017158],"domain_scores_gemma":[0.9967917,0.00052263465,0.00051565876,0.00062223914,0.0013267123,0.00022105406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009894652,0.00022621825,0.0011532233,0.0011600065,0.00007223751,0.000033116172,0.00015695975,0.00008853989,0.000022482525],"category_scores_gemma":[0.00038122578,0.00020001647,0.006332621,0.0012500759,0.000105934036,0.00017394533,0.000043641223,0.00037300473,0.0000021052433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013648988,0.0008064843,0.70305246,0.00016928828,0.0909447,0.0011265299,0.00027000418,0.16594738,0.00669129,0.0000330794,0.0039361743,0.025657717],"study_design_scores_gemma":[0.0047088414,0.00034881048,0.9726052,0.00033678077,0.007181182,0.0007322269,0.00003598665,0.0073033376,0.0022098068,0.0003440378,0.0039984444,0.000195334],"about_ca_topic_score_codex":0.0002778693,"about_ca_topic_score_gemma":0.0000013686911,"teacher_disagreement_score":0.28048125,"about_ca_system_score_codex":0.000032684722,"about_ca_system_score_gemma":0.00010827091,"threshold_uncertainty_score":0.8156435},"labels":[],"label_agreement":null},{"id":"W2059180695","doi":"10.1016/j.jcct.2011.06.008","title":"Occluded stent in an extraluminal plane of the right coronary artery","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Stent; Lumen (anatomy); Radiology; Right coronary artery; Coronary angiography; Artery dissection; Artery; Acute coronary syndrome; Dissection (medical); Coronary stent; Cardiology; Computed tomography angiography; Computed tomography; Internal medicine; Restenosis; Myocardial infarction","score_opus":0.022540687174530623,"score_gpt":0.23259300635567307,"score_spread":0.21005231918114245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059180695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899701,0.0064078835,0.0022970184,0.000043988483,0.0006033294,0.00023187604,0.000008786939,0.000009243381,0.0004277571],"genre_scores_gemma":[0.99737155,0.000113030284,0.0022837978,0.000058075995,0.00014643239,0.000002000223,0.0000049655287,0.000013417043,0.0000067403544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981696,0.00021472896,0.0007099929,0.00014031799,0.0005851173,0.00018027128],"domain_scores_gemma":[0.99868953,0.000049518083,0.00025920026,0.00052985986,0.00033020458,0.00014169811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005512752,0.00014908456,0.000611346,0.000472169,0.000035531564,0.000008877253,0.00026695817,0.00008087954,0.00008233601],"category_scores_gemma":[0.000021184813,0.000100116216,0.0023175399,0.00048592757,0.00012345922,0.00012892479,0.000052409363,0.0003333062,0.0000011387287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017881315,0.004784715,0.934747,0.00031287936,0.010200407,0.0089678485,0.0013199972,0.001553299,0.0006335878,0.00038421192,0.0013979462,0.03390997],"study_design_scores_gemma":[0.0033341625,0.0014825531,0.9861619,0.00061798404,0.0011256213,0.004350858,0.00015475543,0.00017605412,0.0009570757,0.00024484925,0.0012800089,0.00011417191],"about_ca_topic_score_codex":0.000019539906,"about_ca_topic_score_gemma":0.000011630607,"teacher_disagreement_score":0.0514149,"about_ca_system_score_codex":0.000028141152,"about_ca_system_score_gemma":0.000080635094,"threshold_uncertainty_score":0.40826207},"labels":[],"label_agreement":null},{"id":"W2061043847","doi":"10.1016/j.jcct.2013.09.003","title":"Rationale and design of the HeartFlowNXT (HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps) study","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"Novo Nordisk Fonden","keywords":"Medicine; Coronary angiography; Radiology; Angiography; Blood flow; Computed tomography angiography; Cardiology; Internal medicine; Myocardial infarction","score_opus":0.021559985667002957,"score_gpt":0.23332317644331088,"score_spread":0.21176319077630792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061043847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360419,0.032104705,0.030577146,0.000060720333,0.00024987367,0.0009254384,0.000014178961,0.000011882435,0.00001418035],"genre_scores_gemma":[0.9811908,0.00019613311,0.018402722,0.000055512264,0.00012338345,0.0000051092698,0.000004451748,0.000020760963,0.0000011198235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971541,0.0005350611,0.00078179693,0.00021725106,0.0011086711,0.0002031249],"domain_scores_gemma":[0.99740636,0.00035367286,0.0003789483,0.00062638876,0.0010695748,0.00016506104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010928625,0.00021669606,0.0013794673,0.0014764881,0.00008885398,0.000044363158,0.00015428815,0.00004997158,0.000013806668],"category_scores_gemma":[0.00009975745,0.0001569544,0.0052711526,0.002906387,0.00018750558,0.00018304624,0.00007402215,0.00025698874,2.7786558e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009499864,0.0008411522,0.61216116,0.00007576903,0.101519264,0.00014217326,0.0003312207,0.28018135,0.00081502815,0.0000036949664,0.0003587913,0.0034753908],"study_design_scores_gemma":[0.003824347,0.0005525374,0.91477895,0.0001973406,0.049594726,0.0008242999,0.0003413435,0.029252307,0.0003161081,0.000027089342,0.0001327552,0.00015822233],"about_ca_topic_score_codex":0.00010934867,"about_ca_topic_score_gemma":0.0000010769157,"teacher_disagreement_score":0.30261776,"about_ca_system_score_codex":0.000013396937,"about_ca_system_score_gemma":0.00013075283,"threshold_uncertainty_score":0.6400415},"labels":[],"label_agreement":null},{"id":"W2062392971","doi":"10.1016/j.jcct.2014.09.009","title":"A simplified D-shaped model of the mitral annulus to facilitate CT-based sizing before transcatheter mitral valve implantation","year":2014,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Annulus (botany); Mitral annulus; Mitral regurgitation; Mitral valve; Trigone of urinary bladder; Cardiology; Internal medicine; Saddle; Diastole; Anatomy; Mathematics; Blood pressure","score_opus":0.019950815970226493,"score_gpt":0.25711204631985624,"score_spread":0.23716123034962974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062392971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90524507,0.0030276102,0.0905479,0.00014445113,0.00029144995,0.0005242174,0.00010649255,0.000023673132,0.00008914904],"genre_scores_gemma":[0.99671644,0.000014261075,0.002767655,0.00028541256,0.00015131674,0.000008934965,0.000020239138,0.000031760002,0.0000039949614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9976174,0.000214358,0.0006321438,0.0002547582,0.00095220044,0.0003291344],"domain_scores_gemma":[0.99833155,0.00006179846,0.00023950331,0.00055682764,0.00048642416,0.00032391577],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0004897813,0.00027774973,0.00094050856,0.00042108935,0.00009099576,0.000029062663,0.00020869699,0.00006435033,0.0000027943054],"category_scores_gemma":[0.00003240772,0.00019000989,0.04045752,0.0005748991,0.00007071738,0.00009679546,0.000025849457,0.00023170079,0.0000015951292],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027638557,0.0012895213,0.2067226,0.0008396003,0.16880514,0.000101578626,0.0024153744,0.53872395,0.002013427,0.00010723181,0.00031075117,0.07590699],"study_design_scores_gemma":[0.017719507,0.001552293,0.90965927,0.0007237075,0.03515357,0.0004231074,0.0001394006,0.031128792,0.0014305069,0.0005796713,0.0010079049,0.00048227864],"about_ca_topic_score_codex":0.00003096768,"about_ca_topic_score_gemma":0.000001865289,"teacher_disagreement_score":0.70293665,"about_ca_system_score_codex":0.000051077575,"about_ca_system_score_gemma":0.00012815741,"threshold_uncertainty_score":0.96915203},"labels":[],"label_agreement":null},{"id":"W2063845568","doi":"10.1016/j.jcct.2013.08.005","title":"Multidetector CT predictors of prosthesis–patient mismatch in transcatheter aortic valve replacement","year":2013,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Multidetector computed tomography; Prosthesis; Radiology; Aortic valve replacement; Valve replacement; Cardiology; Internal medicine; Surgery; Computed tomography; Stenosis","score_opus":0.006608558082688233,"score_gpt":0.2349357719632943,"score_spread":0.22832721388060606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063845568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835087,0.014468954,0.0004404026,0.00004369805,0.0003598946,0.0010685379,0.000010419242,0.000018554916,0.000080846476],"genre_scores_gemma":[0.99842787,0.0002528198,0.0010824648,0.00004167549,0.00011184131,0.0000394068,0.0000072322764,0.00003389809,0.0000028011482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972842,0.0001833429,0.00096233416,0.0002602549,0.0010138841,0.00029602117],"domain_scores_gemma":[0.9982993,0.00005491039,0.00033920998,0.000556762,0.00046308836,0.00028674328],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00034559667,0.00026276198,0.0011293071,0.0006992071,0.000027377046,0.00002171128,0.000118328375,0.000059213726,0.000031782238],"category_scores_gemma":[0.000029934792,0.00020084639,0.014310793,0.0005873612,0.000065330554,0.00013372353,0.000026795353,0.00021700563,0.0000044010585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051760906,0.0015427852,0.90464985,0.0003533367,0.053298056,0.00008687842,0.00058825524,0.0020399159,0.00027940416,0.0000014693034,0.00028822527,0.036354184],"study_design_scores_gemma":[0.0074301385,0.0014656365,0.9800686,0.00062217476,0.006111736,0.0002497372,0.0001445088,0.00024335443,0.0024833262,0.000030109848,0.00094771094,0.00020293721],"about_ca_topic_score_codex":0.00009976364,"about_ca_topic_score_gemma":3.704618e-7,"teacher_disagreement_score":0.07541875,"about_ca_system_score_codex":0.00008436335,"about_ca_system_score_gemma":0.000086320106,"threshold_uncertainty_score":0.99556065},"labels":[],"label_agreement":null},{"id":"W2067609993","doi":"10.1016/j.jcct.2011.08.003","title":"Rationale and design of the DeFACTO (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic AngiOgraphy) study","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Radiology; Angiography; Computed tomographic angiography; Cardiology; Circumflex; Stenosis; Artery; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.022025897708275115,"score_gpt":0.23106687776288903,"score_spread":0.2090409800546139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067609993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65427375,0.02548766,0.31832778,0.000060242975,0.0006009639,0.0011087342,0.000046820584,0.000024839077,0.0000692217],"genre_scores_gemma":[0.9848713,0.00022846826,0.014727347,0.000032913034,0.000101184894,0.00000624792,0.000009732298,0.000021766855,0.0000010149772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972558,0.0004971999,0.0007603824,0.00021784463,0.001095093,0.00017369611],"domain_scores_gemma":[0.997238,0.00032551473,0.00056404446,0.00047714615,0.0012582759,0.00013701653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012425189,0.00021213382,0.0008414746,0.0011225375,0.000087888264,0.000019467503,0.00020913493,0.0001004087,0.000006293525],"category_scores_gemma":[0.00013004693,0.0001623177,0.0026979782,0.0015908655,0.00024240813,0.00016493126,0.00006698776,0.00032100952,1.630678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084138603,0.0021694363,0.95963365,0.0002127727,0.017439969,0.00013099244,0.001169623,0.0063652755,0.0007534955,0.000049512186,0.0035002716,0.007733605],"study_design_scores_gemma":[0.006285524,0.0011149134,0.97776616,0.00032808544,0.00434848,0.00061452354,0.00027731052,0.0054798215,0.002737956,0.00045088158,0.0003749212,0.00022142199],"about_ca_topic_score_codex":0.0000741682,"about_ca_topic_score_gemma":0.0000013656087,"teacher_disagreement_score":0.3305976,"about_ca_system_score_codex":0.000018889605,"about_ca_system_score_gemma":0.00011712579,"threshold_uncertainty_score":0.6619123},"labels":[],"label_agreement":null},{"id":"W2068957520","doi":"10.1016/j.jcct.2011.11.002","title":"Quantitative myocardial CT perfusion: a pictorial review and the current state of technology development","year":2011,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute","funders":"David Geffen School of Medicine, University of California, Los Angeles","keywords":"Medicine; Coronary artery disease; Radiology; Perfusion; Perfusion scanning; Myocardial perfusion imaging; Revascularization; Angiography; Cardiology; Myocardial infarction","score_opus":0.017606217971585122,"score_gpt":0.2551865436333429,"score_spread":0.2375803256617578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068957520","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012624633,0.9639847,0.033337127,0.0000059241347,0.0018634568,0.0006669837,0.000009603681,0.000046654368,0.00007289939],"genre_scores_gemma":[0.00006334334,0.9943856,0.005206722,0.0000048556612,0.00025374364,0.000027512353,0.000004642031,0.0000531008,4.7668638e-7],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972163,0.0003488076,0.0014548647,0.00022531104,0.00047696353,0.00027775965],"domain_scores_gemma":[0.9982432,0.0001398452,0.00066810317,0.0004679329,0.0003846914,0.000096202726],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014051379,0.0004968111,0.004025173,0.0008484474,0.000080816804,0.000021776379,0.0005085584,0.00006557803,0.0000020006419],"category_scores_gemma":[0.00005520678,0.0003176238,0.003647673,0.00124211,0.0002634917,0.00011744657,0.00014587902,0.0011511772,0.0000019050406],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001385586,0.000015181362,7.301757e-7,0.013970569,0.008533063,0.0000312618,0.0000858674,0.0003229048,4.0712592e-8,0.00009130218,0.00010836128,0.97682685],"study_design_scores_gemma":[0.00088621053,0.000050613493,0.0000056513995,0.025941968,0.0070400583,0.00053412875,0.0000049054547,0.00001843928,0.000002427538,0.00023326931,0.96497303,0.00030929907],"about_ca_topic_score_codex":5.0058566e-7,"about_ca_topic_score_gemma":1.4826338e-7,"teacher_disagreement_score":0.97651756,"about_ca_system_score_codex":0.00004864082,"about_ca_system_score_gemma":0.00017593935,"threshold_uncertainty_score":0.9999276},"labels":[],"label_agreement":null},{"id":"W2078449380","doi":"10.1016/j.jcct.2011.01.003","title":"Guideline for minimizing radiation exposure during acquisition of coronary artery calcium scans with the use of multidetector computed tomography","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"GE Healthcare; Astellas Pharma; International Microbiome Centre, University of Calgary; Pfizer","keywords":"Medicine; Guideline; Coronary artery calcium; Coronary artery disease; Nuclear medicine; Radiology; Radiation exposure; Asymptomatic; Ionizing radiation; Medical physics; Computed tomography; Cardiology; Internal medicine","score_opus":0.02899316831503475,"score_gpt":0.2326442957184729,"score_spread":0.20365112740343813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078449380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.672425,0.009842606,0.3164331,0.00009974051,0.0004397298,0.00065245136,0.000059087022,0.000035798756,0.000012481196],"genre_scores_gemma":[0.9318804,0.00008920265,0.06739984,0.000109978915,0.00043100383,0.000009363194,0.00003529476,0.000043876305,0.000001004434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973612,0.00021247062,0.0010903915,0.00024213793,0.00081115967,0.00028267427],"domain_scores_gemma":[0.9961568,0.00035735202,0.00082355394,0.0005983837,0.0018945609,0.00016931568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079944875,0.00028040214,0.0011100142,0.00094065967,0.00009976181,0.000024926963,0.0001765888,0.000120240395,0.0000035448115],"category_scores_gemma":[0.000086118205,0.00020122303,0.002947123,0.00092918327,0.000209188,0.00023452977,0.00004084905,0.00027032892,1.5757017e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0143493395,0.0023333817,0.61418253,0.0025193908,0.08151938,0.0013724463,0.0053056017,0.18217993,0.01900424,0.000051782165,0.01050611,0.06667589],"study_design_scores_gemma":[0.015256042,0.0021694747,0.9299226,0.0013084993,0.0076592513,0.0024122456,0.00038197075,0.005952967,0.031450983,0.00001604065,0.0030550784,0.0004148761],"about_ca_topic_score_codex":0.00004415387,"about_ca_topic_score_gemma":0.0000015022283,"teacher_disagreement_score":0.31574005,"about_ca_system_score_codex":0.000033660577,"about_ca_system_score_gemma":0.00011044787,"threshold_uncertainty_score":0.8205637},"labels":[],"label_agreement":null},{"id":"W2085016789","doi":"10.1016/j.jcct.2012.04.010","title":"Effect of image quality on diagnostic accuracy of noninvasive fractional flow reserve: Results from the prospective multicenter international DISCOVER-FLOW study","year":2012,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Fractional flow reserve; Stenosis; Radiology; Calcification; Cardiology; Coronary artery disease; Nuclear medicine; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.01224521273249172,"score_gpt":0.30327947662517896,"score_spread":0.2910342638926872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085016789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818494,0.0050598145,0.0082771275,0.00030619145,0.0023815513,0.0011126164,0.00055531634,0.000018438643,0.00043956412],"genre_scores_gemma":[0.99605316,0.00016621567,0.001993774,0.000054315842,0.0016172519,0.000013639876,0.00007218791,0.000027190406,0.0000022730792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952054,0.001238688,0.0010744927,0.00026968258,0.0019542784,0.00025744812],"domain_scores_gemma":[0.98316795,0.013693494,0.00089399185,0.00076585455,0.0013019862,0.00017673863],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0037050487,0.0002831329,0.0011596516,0.00034021784,0.000076802084,0.00004359205,0.0003179797,0.000083494626,0.000010971395],"category_scores_gemma":[0.01270233,0.00018305265,0.0029826895,0.00048692754,0.00018739687,0.00035597692,0.00013077885,0.0006716157,0.000004035892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007295382,0.0026811457,0.94198805,0.00010020269,0.02353699,0.00023190289,0.0018861019,0.01151013,0.000118904354,0.000010253217,0.002111989,0.008528947],"study_design_scores_gemma":[0.017166983,0.0014380493,0.9691404,0.00072470994,0.0033599862,0.00010132116,0.00035968228,0.00045949416,0.0061674784,0.000016837781,0.000897286,0.00016778366],"about_ca_topic_score_codex":0.0002653491,"about_ca_topic_score_gemma":0.000003012838,"teacher_disagreement_score":0.027152337,"about_ca_system_score_codex":0.00009503068,"about_ca_system_score_gemma":0.00010710216,"threshold_uncertainty_score":0.9956141},"labels":[],"label_agreement":null},{"id":"W2097756517","doi":"10.1016/j.jcct.2015.01.008","title":"Diagnostic accuracy and discrimination of ischemia by fractional flow reserve CT using a clinical use rule: Results from the Determination of Fractional Flow Reserve by Anatomic Computed Tomographic Angiography study","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Fractional flow reserve; Medicine; Stenosis; Computed tomographic angiography; Gold standard (test); Receiver operating characteristic; Radiology; Angiography; Coronary artery disease; Cardiology; Area under the curve; Computed tomography angiography; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.05368160417458961,"score_gpt":0.32461498602101546,"score_spread":0.27093338184642585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097756517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9108557,0.016120344,0.07059843,0.00022353767,0.000649432,0.000696998,0.0008274033,0.000021358583,0.0000067714614],"genre_scores_gemma":[0.9838929,0.0008077006,0.014291387,0.000043536707,0.0003767389,0.000008664747,0.0005419965,0.000035503057,0.0000015368687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942703,0.0010906713,0.0021249994,0.00046849856,0.0017857719,0.0002597489],"domain_scores_gemma":[0.98942095,0.005546016,0.0014848477,0.0007381782,0.0024758934,0.0003341038],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029616565,0.00034548552,0.0011735392,0.0009501943,0.00015071014,0.00009758311,0.0003491764,0.00017662346,0.000008638771],"category_scores_gemma":[0.0038694816,0.00027705193,0.003161715,0.0016564016,0.00034059046,0.00070354744,0.00016747619,0.0007470297,3.5309898e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032857885,0.0055002007,0.9093728,0.00014861298,0.016803969,0.00041483034,0.00057293853,0.010651306,0.0002205366,0.000007835258,0.028107729,0.024913471],"study_design_scores_gemma":[0.021849731,0.0027082192,0.84101754,0.0017805066,0.008079257,0.0006841516,0.0010683667,0.1183943,0.00045085928,0.00038866044,0.0031174484,0.0004609456],"about_ca_topic_score_codex":0.001224168,"about_ca_topic_score_gemma":0.00005037422,"teacher_disagreement_score":0.107742995,"about_ca_system_score_codex":0.00006757344,"about_ca_system_score_gemma":0.00020984728,"threshold_uncertainty_score":0.9999682},"labels":[],"label_agreement":null},{"id":"W2109546334","doi":"10.1016/j.jcct.2011.10.008","title":"Quantitative myocardial perfusion imaging using rapid kVp switch dual-energy CT: Preliminary experience","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Lawson Health Research Institute; Robarts Clinical Trials","funders":"Canadian Institutes of Health Research; Health Canada; Radiological Society of North America; RSNA Research and Education Foundation","keywords":"Digital Enhanced Cordless Telecommunications; Medicine; Imaging phantom; Nuclear medicine; Perfusion; Artifact (error); Perfusion scanning; Image noise; Myocardial perfusion imaging; Projection (relational algebra); Radiology; Algorithm; Mathematics; Computer science; Artificial intelligence; Image (mathematics)","score_opus":0.01773789329284209,"score_gpt":0.21701789613583838,"score_spread":0.1992800028429963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109546334","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34193444,0.0627856,0.5924135,0.000006191926,0.0016783633,0.00009867718,0.0000029738637,0.00014825781,0.0009320189],"genre_scores_gemma":[0.9604579,0.0011314695,0.03788393,0.000036938625,0.0004082537,0.0000044567805,0.000002342144,0.000073672265,0.0000010072043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976509,0.00017528012,0.000688262,0.00028659025,0.0007213727,0.0004775709],"domain_scores_gemma":[0.99868965,0.00006463541,0.0002058858,0.00046238047,0.00035956127,0.00021787919],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049930875,0.0003809071,0.00077618664,0.0007559894,0.00019746709,0.00006249946,0.00033437644,0.000055644734,0.000018354394],"category_scores_gemma":[0.000022592712,0.00037186366,0.001939918,0.00092320726,0.00013715783,0.00091165304,0.000101305595,0.00044525912,0.000002553228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045519925,0.00023788457,0.0030498728,0.0001554261,0.0070732376,0.004462481,0.008610449,0.77165806,0.012800808,0.0004526455,0.00044550348,0.19059846],"study_design_scores_gemma":[0.008121633,0.0015162663,0.022982428,0.0021481174,0.004189066,0.020451458,0.009971928,0.79373217,0.08949906,0.002469756,0.04081636,0.00410178],"about_ca_topic_score_codex":0.000029527366,"about_ca_topic_score_gemma":2.4822407e-7,"teacher_disagreement_score":0.6185235,"about_ca_system_score_codex":0.00006709756,"about_ca_system_score_gemma":0.00004028763,"threshold_uncertainty_score":0.99987334},"labels":[],"label_agreement":null},{"id":"W2126166940","doi":"10.1016/j.jcct.2011.11.001","title":"Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320 row detector computed tomography: design and implementation of the CORE320 multicenter, multinational diagnostic study","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"National Center for Research Resources; National Institutes of Health","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Radiology; Perfusion; Single-photon emission computed tomography; Computed tomography angiography; Angiography; Fractional flow reserve; Perfusion scanning; Coronary angiography; Cardiology; Myocardial infarction","score_opus":0.01460838672948767,"score_gpt":0.23950102858374583,"score_spread":0.22489264185425817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126166940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96666837,0.015588495,0.015418134,0.000019232948,0.00064828945,0.0015973955,0.000029098046,0.000024579205,0.0000064202522],"genre_scores_gemma":[0.98832893,0.0005111524,0.010913016,0.00004222876,0.00013932436,0.000013166207,0.000010251555,0.00004183907,1.0127888e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966475,0.00059560925,0.0010103236,0.00035705024,0.0010653937,0.0003241572],"domain_scores_gemma":[0.99559903,0.0016608506,0.00078997476,0.0004413345,0.0012892294,0.0002195635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011165002,0.00037620313,0.0011244153,0.0011353932,0.00020880252,0.000035221303,0.00021391729,0.00007953057,0.0000042788147],"category_scores_gemma":[0.0003491472,0.00030599395,0.0019597805,0.0011702189,0.00043357175,0.0002485964,0.00020470939,0.00035073617,1.1763124e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044516803,0.00069510937,0.97817326,0.00019779184,0.0047781845,0.00017753404,0.0015437243,0.0042570024,0.0004445881,0.0000037061984,0.000028994451,0.009254914],"study_design_scores_gemma":[0.011110965,0.0015306795,0.9650083,0.00081073394,0.0059292316,0.0008254321,0.0009322004,0.009759077,0.003806812,0.000015531614,0.000009418536,0.000261613],"about_ca_topic_score_codex":0.00019988179,"about_ca_topic_score_gemma":0.0000023343869,"teacher_disagreement_score":0.021660564,"about_ca_system_score_codex":0.000037491285,"about_ca_system_score_gemma":0.00014873638,"threshold_uncertainty_score":0.9999392},"labels":[],"label_agreement":null},{"id":"W2183929202","doi":"10.1016/j.jcct.2015.11.006","title":"Contrast inhomogeneity in CT angiography of the abdominal aortic aneurysm","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Aneurysm; Medicine; Abdominal aortic aneurysm; Radiology; Angiography; Lumen (anatomy); Univariate analysis; Contrast (vision); Aortic aneurysm; Endovascular aneurysm repair; Nuclear medicine; Multivariate analysis; Internal medicine","score_opus":0.01612951931235028,"score_gpt":0.23736926943246175,"score_spread":0.2212397501201115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183929202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770175,0.019594233,0.0019281356,0.00013837995,0.00052665174,0.0004539436,0.000005310907,0.000020665919,0.00031518325],"genre_scores_gemma":[0.997473,0.00008153999,0.0021594567,0.00007481399,0.00017263788,0.0000041994977,0.0000020308905,0.000028088187,0.0000042301212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965789,0.0004038568,0.0010587128,0.00024066374,0.0013888984,0.00032897518],"domain_scores_gemma":[0.9976623,0.00007020182,0.00054805295,0.00075289526,0.0006365887,0.0003299428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012532562,0.0002669465,0.0011893006,0.0008797154,0.00003857603,0.00001564286,0.00032869034,0.000081583006,0.0000041986755],"category_scores_gemma":[0.00013770358,0.00017862655,0.0052828137,0.0020270674,0.00027065547,0.00012776391,0.000084929365,0.00041914498,0.0000013989113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056038925,0.00080454146,0.9731703,0.000101154576,0.009478764,0.0039596967,0.0002316758,0.0025147772,0.00022168274,0.000014474909,0.00068450527,0.008258029],"study_design_scores_gemma":[0.011330192,0.0008671215,0.965258,0.0003682178,0.003981394,0.013642144,0.00016336926,0.00052664074,0.002044834,0.0001640097,0.0014403156,0.00021376117],"about_ca_topic_score_codex":0.000065079104,"about_ca_topic_score_gemma":0.000003495235,"teacher_disagreement_score":0.020455508,"about_ca_system_score_codex":0.000077277306,"about_ca_system_score_gemma":0.00029068897,"threshold_uncertainty_score":0.72841793},"labels":[],"label_agreement":null},{"id":"W2211100896","doi":"10.1016/j.jcct.2015.10.005","title":"President's page – understanding risk prior to treating-the ongoing story of coronary artery calcium scoring","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Coronary artery calcium; Risk stratification; Internal medicine; Cardiology; Clinical Practice; Artery; Coronary arteries; Coronary artery disease; Physical therapy","score_opus":0.03866673877182175,"score_gpt":0.2593124885207833,"score_spread":0.22064574974896156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211100896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77411675,0.030399064,0.19252689,0.00030052962,0.001465992,0.0004642835,0.000010225135,0.000052812426,0.000663441],"genre_scores_gemma":[0.9943381,0.0001530783,0.0045194062,0.00010011628,0.0008363257,0.0000032103821,0.0000024013852,0.00003885713,0.000008482481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970712,0.0005251671,0.00060981914,0.00022181938,0.0012632894,0.0003086902],"domain_scores_gemma":[0.9973759,0.00059941964,0.00039887952,0.0006150878,0.00058012997,0.00043059853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029935252,0.00022965179,0.0009431344,0.00071971875,0.00016784256,0.00005594415,0.00020729376,0.00007892391,0.0000016426683],"category_scores_gemma":[0.00070680137,0.00017599628,0.0023069484,0.0007554139,0.000120983466,0.00014755942,0.00009910162,0.00068727,0.0000024097615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015294655,0.0005271081,0.75446236,0.00048215906,0.033117063,0.0041530514,0.0075008706,0.13429852,0.0006490784,0.000114276154,0.024471806,0.038694248],"study_design_scores_gemma":[0.019210432,0.0027781965,0.9153389,0.0041717105,0.017331483,0.010129856,0.009511817,0.0020367757,0.0029574854,0.00053177035,0.015067984,0.000933621],"about_ca_topic_score_codex":0.00004777088,"about_ca_topic_score_gemma":0.0000018524971,"teacher_disagreement_score":0.22022136,"about_ca_system_score_codex":0.00022358733,"about_ca_system_score_gemma":0.0002715021,"threshold_uncertainty_score":0.71769196},"labels":[],"label_agreement":null},{"id":"W2213274111","doi":"10.1016/j.jcct.2015.12.004","title":"3D printing based on cardiac CT assists anatomic visualization prior to transcatheter aortic valve replacement","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":207,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Medicine; Aortic root; Regurgitation (circulation); Cardiac skeleton; Aortic valve; 3d printed; Radiology; Cardiology; Valve replacement; Implant; Internal medicine; Surgery; Aorta; Biomedical engineering","score_opus":0.014708167251155068,"score_gpt":0.29845883454079236,"score_spread":0.28375066728963727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213274111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94900626,0.006020049,0.04218432,0.00012419026,0.0011566108,0.0009863685,0.000016747379,0.00007146259,0.00043398325],"genre_scores_gemma":[0.99579245,0.000049843093,0.0033340054,0.00030974293,0.00040511426,0.000018271749,0.000029235447,0.00005641979,0.0000049255636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99667543,0.0003158893,0.0006786762,0.00038066122,0.001607932,0.0003414063],"domain_scores_gemma":[0.99754405,0.0000528378,0.0002585954,0.0006875419,0.0007370959,0.00071989786],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0011745181,0.0003182848,0.0010805627,0.0009274822,0.00007588148,0.00007179365,0.00013129649,0.000063074825,0.00000728354],"category_scores_gemma":[0.0000851007,0.0002658336,0.013764101,0.00090324896,0.000030229976,0.00010060975,0.00003066585,0.00020624632,0.000011660396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003268033,0.0022978322,0.6928526,0.0003853527,0.10354682,0.00030410863,0.00054442073,0.08141604,0.00007448983,0.000048979357,0.0021514443,0.11310987],"study_design_scores_gemma":[0.017588349,0.0033292146,0.92302674,0.0012190815,0.024365682,0.00021167392,0.0001417136,0.00717394,0.0009919547,0.000035284345,0.021222191,0.00069420406],"about_ca_topic_score_codex":0.00001578578,"about_ca_topic_score_gemma":1.3889604e-7,"teacher_disagreement_score":0.23017411,"about_ca_system_score_codex":0.0002572584,"about_ca_system_score_gemma":0.00027270796,"threshold_uncertainty_score":0.9999794},"labels":[],"label_agreement":null},{"id":"W2216846216","doi":"10.1016/j.jcct.2015.12.007","title":"Optimal fluoroscopic viewing angles of left-sided heart structures in patients with aortic stenosis and mitral regurgitation based on multislice computed tomography","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; McGill University Health Centre","funders":"","keywords":"Medicine; Stenosis; Cardiac skeleton; Mitral regurgitation; Multislice; Radiology; Cardiology; Regurgitation (circulation); Internal medicine; Aortic valve replacement","score_opus":0.010889538378266988,"score_gpt":0.25404747847910225,"score_spread":0.24315794010083527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216846216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921047,0.0054412177,0.0015868427,0.000040818468,0.00020241758,0.00056005944,0.000024971312,0.000021936767,0.000017035452],"genre_scores_gemma":[0.98679256,0.000022449705,0.012926708,0.00009339772,0.00007484505,0.0000038088249,0.000053200438,0.000032790147,2.453798e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973756,0.0002609919,0.0006267323,0.00030584406,0.0011570257,0.00027377054],"domain_scores_gemma":[0.9980086,0.00010483637,0.00030857764,0.00038150547,0.00083812745,0.00035834083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034478022,0.00030748625,0.0011724206,0.0011954176,0.00004872693,0.000043483135,0.00009352734,0.00009909865,0.0000019525992],"category_scores_gemma":[0.000050135845,0.00023888407,0.0027976227,0.00086271507,0.0001138541,0.00017951815,0.000027227454,0.00023223921,2.504426e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015713839,0.00058329286,0.94594294,0.00015090314,0.007124027,0.00005638083,0.00020806216,0.0416674,0.000014041369,0.0000027527262,0.000095488336,0.002583317],"study_design_scores_gemma":[0.01890638,0.0020192247,0.9732222,0.00090330763,0.0028154494,0.000022185048,0.00008722579,0.0015646844,0.00019407817,0.000013923094,0.000054420103,0.00019693915],"about_ca_topic_score_codex":0.000044605895,"about_ca_topic_score_gemma":5.505685e-7,"teacher_disagreement_score":0.040102717,"about_ca_system_score_codex":0.00006368716,"about_ca_system_score_gemma":0.00011876039,"threshold_uncertainty_score":0.974141},"labels":[],"label_agreement":null},{"id":"W2229458759","doi":"10.1016/j.jcct.2015.12.005","title":"Long term prognostic utility of coronary CT angiography in patients with no modifiable coronary artery disease risk factors: Results from the 5 year follow-up of the CONFIRM International Multicenter Registry","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Mace; Cardiology; Coronary artery disease; Internal medicine; Myocardial infarction; Hazard ratio; Clinical endpoint; Unstable angina; Stenosis; Revascularization; Angina; Confidence interval; Percutaneous coronary intervention; Clinical trial","score_opus":0.012064357063025876,"score_gpt":0.21349797952543545,"score_spread":0.20143362246240956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229458759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931403,0.0035493039,0.000604599,0.000053521497,0.0012568429,0.0006087454,0.0006703433,0.000013157604,0.000103210805],"genre_scores_gemma":[0.9991657,0.000063161984,0.00037419438,0.00003126769,0.00017599121,0.000003494364,0.00016014616,0.000023301163,0.0000027546628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695385,0.0003700081,0.00077653094,0.00027287236,0.0014118693,0.00021489976],"domain_scores_gemma":[0.99643993,0.00047193916,0.0006947778,0.0009068507,0.0012539922,0.0002325142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000732794,0.00024153992,0.0007172066,0.00027809173,0.000044888075,0.000028873723,0.00039131913,0.000055863908,0.0000039839797],"category_scores_gemma":[0.00070786104,0.00014107917,0.002499057,0.00053783,0.00034137117,0.00014855276,0.000117412594,0.00045089342,6.3821466e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004560621,0.0006348625,0.98398626,0.000038253755,0.006760764,0.00016965078,0.00024078057,0.001795136,0.000001134906,6.1274164e-7,0.0011139353,0.0006980073],"study_design_scores_gemma":[0.018221198,0.000245834,0.97690177,0.00096379657,0.0025883985,0.000029731915,0.00012921386,0.0004305947,0.000026773663,0.000017924642,0.00031096648,0.00013382039],"about_ca_topic_score_codex":0.00025438474,"about_ca_topic_score_gemma":0.0000039114034,"teacher_disagreement_score":0.013660577,"about_ca_system_score_codex":0.00003665639,"about_ca_system_score_gemma":0.00020651282,"threshold_uncertainty_score":0.5753042},"labels":[],"label_agreement":null},{"id":"W2231559226","doi":"10.1016/j.jcct.2015.07.007","title":"Computed Tomography Imaging in Patients with Congenital Heart Disease, Part 2: Technical Recommendations. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT)","year":2015,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Computed tomography; Radiology; Heart disease; Tomography; Medical physics; Cardiology","score_opus":0.019695959862648927,"score_gpt":0.2741433827779866,"score_spread":0.2544474229153377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2231559226","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025233848,0.9901083,0.0028599582,0.00023675726,0.0010925769,0.002852245,0.00019240768,0.00009066656,0.00004371466],"genre_scores_gemma":[0.10319034,0.85470575,0.036776297,0.0008428386,0.0021044756,0.00019294205,0.0015451334,0.00063677644,0.0000054484153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9892725,0.0019994897,0.0034677018,0.0009981858,0.0034887614,0.00077339105],"domain_scores_gemma":[0.99162257,0.0002804164,0.0021213728,0.002461629,0.0026879539,0.0008260487],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0030158313,0.0011638933,0.006425186,0.0025578367,0.00019597475,0.00012768291,0.0010685525,0.0003907031,0.00001078632],"category_scores_gemma":[0.000070788876,0.00083533494,0.01967018,0.0057667773,0.00085026753,0.00043539467,0.00032097846,0.0015670384,9.545297e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094315584,0.004212541,0.055947226,0.008386226,0.13433577,0.000304457,0.0005487731,0.007828758,0.0000031770896,0.000032178246,0.027341686,0.76011604],"study_design_scores_gemma":[0.013302566,0.0008547135,0.035210714,0.021207858,0.02555238,0.0007401599,0.00015013818,0.0005228173,0.000020678259,0.00004201142,0.9010679,0.0013280447],"about_ca_topic_score_codex":0.00006069257,"about_ca_topic_score_gemma":0.0000015837315,"teacher_disagreement_score":0.87372625,"about_ca_system_score_codex":0.00028496305,"about_ca_system_score_gemma":0.0011907801,"threshold_uncertainty_score":0.99940974},"labels":[],"label_agreement":null},{"id":"W2261388433","doi":"10.1016/j.jcct.2016.01.005","title":"Total coronary atherosclerotic plaque burden assessment by CT angiography for detecting obstructive coronary artery disease associated with myocardial perfusion abnormalities","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Coronary artery disease; Atheroma; Cardiology; Internal medicine; Radiology; Angiography; Population; Receiver operating characteristic; Stenosis; Computed tomography angiography","score_opus":0.0076967405816360124,"score_gpt":0.21611077032691092,"score_spread":0.2084140297452749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261388433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92970294,0.012775211,0.055063386,0.00026059273,0.00092444103,0.0008441564,0.00024285058,0.000104628445,0.000081825136],"genre_scores_gemma":[0.9963154,0.0002508511,0.0023426653,0.000084950014,0.0008128058,0.000031396863,0.00006473617,0.00008354059,0.0000136468025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674463,0.0003497314,0.00066891895,0.00042300604,0.001262935,0.00055074855],"domain_scores_gemma":[0.9967176,0.0008791977,0.00044036566,0.0004950412,0.0009435485,0.0005242679],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009134448,0.00044360443,0.0012223043,0.0006488512,0.0002267405,0.00008126499,0.0001668852,0.00009909345,0.000008168322],"category_scores_gemma":[0.00019338806,0.00030983132,0.0054320362,0.0005806989,0.00027176284,0.00032573263,0.00006923925,0.00036874157,9.901244e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029622253,0.00056045974,0.89181656,0.00018620607,0.041105773,0.0032060922,0.0003189914,0.004770719,0.0010988284,0.000027453605,0.0035800196,0.05036667],"study_design_scores_gemma":[0.013386994,0.0015424221,0.96979576,0.0016477364,0.0074922997,0.003156259,0.0003122415,0.00026855493,0.00025510238,0.00011199365,0.0014984248,0.0005321943],"about_ca_topic_score_codex":0.000011558586,"about_ca_topic_score_gemma":3.7429294e-7,"teacher_disagreement_score":0.077979214,"about_ca_system_score_codex":0.00020245473,"about_ca_system_score_gemma":0.00028913532,"threshold_uncertainty_score":0.9999354},"labels":[],"label_agreement":null},{"id":"W2331804391","doi":"10.1016/j.jcct.2015.12.017","title":"Very high coronary artery calcium score with normal myocardial perfusion SPECT imaging is associated with a moderate incidence of severe coronary artery disease","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Myocardial perfusion imaging; Perfusion; Incidence (geometry); Artery; Radiology","score_opus":0.007910795817350078,"score_gpt":0.20309997884075162,"score_spread":0.19518918302340155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331804391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643488,0.008636926,0.025324328,0.00041895447,0.00055685436,0.00041671575,0.00011711975,0.00007362133,0.00010669832],"genre_scores_gemma":[0.99755794,0.00032746902,0.0009860175,0.00039425644,0.00060428295,0.000006779132,0.000032376298,0.00007873065,0.000012143904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99595183,0.00032247003,0.00075417315,0.0004797278,0.0019457316,0.00054605526],"domain_scores_gemma":[0.99635905,0.00036382422,0.00053221645,0.00078440737,0.0013688522,0.0005916651],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076052285,0.0004943868,0.0015855386,0.00073135976,0.00014793705,0.000061749466,0.00023072657,0.00009510886,0.000019844798],"category_scores_gemma":[0.00011222598,0.00032131167,0.0022857315,0.0007007615,0.0004129987,0.000547201,0.00011658305,0.0005020998,0.0000038165635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007377056,0.00046620567,0.9277484,0.00013467795,0.013188155,0.028811956,0.00021284496,0.007822411,0.0004226315,0.0000057986067,0.0024437064,0.011366189],"study_design_scores_gemma":[0.012975523,0.0010251838,0.9562487,0.003876329,0.0059081167,0.017819861,0.000068610396,0.0006644658,0.0006252737,0.00006280101,0.00020293538,0.0005222243],"about_ca_topic_score_codex":0.000027465434,"about_ca_topic_score_gemma":0.0000014757046,"teacher_disagreement_score":0.033209164,"about_ca_system_score_codex":0.00016554531,"about_ca_system_score_gemma":0.00068953005,"threshold_uncertainty_score":0.9999239},"labels":[],"label_agreement":null},{"id":"W2342260102","doi":"10.1016/j.jcct.2016.04.003","title":"Change is the law of life. And those who look only to the past or present are certain to miss the future. – John F. Kennedy","year":2016,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Coronary artery disease; Coronary angiography; Computed tomographic angiography; Radiology; Stenosis; Warranty; Scopus; Angiography; Cardiology; Internal medicine; MEDLINE; Law; Myocardial infarction","score_opus":0.012381072033236285,"score_gpt":0.2547683224014838,"score_spread":0.2423872503682475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342260102","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014312118,0.37471205,0.0033259224,0.070139855,0.54542655,0.003624236,0.00076403626,0.00005993382,0.00051622884],"genre_scores_gemma":[0.006121667,0.0118863825,0.00032048172,0.0040494106,0.9772946,0.000058729624,0.000017100887,0.00012928281,0.00012233543],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944365,0.000758527,0.00091177825,0.00047860696,0.0028846336,0.0005299546],"domain_scores_gemma":[0.9926745,0.002176465,0.00068374764,0.0018557427,0.0020220175,0.0005874882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026205173,0.0005947982,0.002049222,0.00051409827,0.00029981107,0.00020297947,0.0009414631,0.00041367448,0.000008717866],"category_scores_gemma":[0.00071096467,0.00024271163,0.0041802074,0.0010004877,0.0003053032,0.00009104893,0.0004072753,0.0013502582,0.000005979037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006801593,0.00008344217,0.00068486755,0.00025154237,0.010157215,0.00021720104,0.0010687974,0.00010945628,8.85606e-7,0.000016559654,0.9724002,0.01432967],"study_design_scores_gemma":[0.002410784,0.0005493359,0.0064075906,0.0025919734,0.004257556,0.00031193142,0.00055661134,0.00000996814,0.000014094037,0.000024064095,0.9825537,0.00031237185],"about_ca_topic_score_codex":0.00017017066,"about_ca_topic_score_gemma":0.00004267365,"teacher_disagreement_score":0.43186808,"about_ca_system_score_codex":0.000062987914,"about_ca_system_score_gemma":0.0004447285,"threshold_uncertainty_score":0.9897493},"labels":[],"label_agreement":null},{"id":"W2463576284","doi":"10.1016/j.jcct.2016.07.006","title":"Proving the innocence of a “malignant” coronary artery: Calling dobutamine stress CT for the defence!","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; Toronto General Hospital","funders":"","keywords":"Medicine; Asymptomatic; Cardiology; Internal medicine; Chest pain; Dobutamine; Ventricular tachycardia; Radiology; Hemodynamics","score_opus":0.012829781218510552,"score_gpt":0.22867319930204977,"score_spread":0.2158434180835392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463576284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3877918,0.07421017,0.5331222,0.0023484414,0.0013166,0.0010142578,0.00006046156,0.000039242106,0.00009684491],"genre_scores_gemma":[0.9955332,0.0009607375,0.0026653379,0.00013429255,0.0006618848,0.000011980649,0.0000021072601,0.000024972182,0.0000054384227],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979853,0.00017184656,0.0005916753,0.00018336042,0.00078616635,0.00028162188],"domain_scores_gemma":[0.9960049,0.002004291,0.0003582343,0.00061586796,0.000908461,0.000108257496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017420877,0.0001902771,0.0006995461,0.00023492817,0.00013522433,0.000034839555,0.0003214687,0.00004141958,0.0000021578255],"category_scores_gemma":[0.00054114166,0.00008462464,0.002582307,0.0005093356,0.00028292683,0.000107768225,0.00006637843,0.00021964773,5.616891e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018355726,0.00067919615,0.3276734,0.0009632206,0.04508527,0.0020831232,0.001102702,0.018794183,0.006303935,0.00058524375,0.007429541,0.58746463],"study_design_scores_gemma":[0.02652077,0.002755237,0.7914416,0.011200835,0.023418318,0.034250256,0.0017046027,0.004873695,0.030973328,0.00091768283,0.070793785,0.001149894],"about_ca_topic_score_codex":0.000013504127,"about_ca_topic_score_gemma":7.987565e-7,"teacher_disagreement_score":0.6077415,"about_ca_system_score_codex":0.000030129455,"about_ca_system_score_gemma":0.00016686122,"threshold_uncertainty_score":0.34508926},"labels":[],"label_agreement":null},{"id":"W2464198317","doi":"10.1016/j.jcct.2016.07.012","title":"Image quality is key in CT for transcatheter aortic valve replacement","year":2016,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Stenosis; Valve replacement; Multidetector computed tomography; Computed tomography; Radiology; Aortic valve; Regurgitation (circulation); Cardiology","score_opus":0.011427018686627615,"score_gpt":0.3231720607074579,"score_spread":0.3117450420208303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464198317","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02726498,0.110164456,0.022841683,0.00035672213,0.83306384,0.0036594842,0.0021517586,0.00008711087,0.0004099375],"genre_scores_gemma":[0.078791566,0.008122562,0.0064431303,0.0002335816,0.90505344,0.0002131148,0.0006451194,0.0003893834,0.000108075736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944959,0.00035593947,0.0015710358,0.00064442854,0.0023830847,0.000549605],"domain_scores_gemma":[0.99581087,0.00048004359,0.00074894953,0.0011227957,0.001421168,0.00041614968],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0018863756,0.00061755476,0.0029099353,0.0010599678,0.00006438705,0.00007507518,0.00028655413,0.00035868376,0.000027382663],"category_scores_gemma":[0.00021477383,0.0004555538,0.056644574,0.00045600586,0.00009551975,0.00015066008,0.00004834685,0.0006721869,0.0000062892395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003583354,0.0012096683,0.0073805884,0.0018283293,0.20034416,0.00021025138,0.00020300431,0.00002524901,0.000014539158,0.000003934512,0.7682739,0.016923036],"study_design_scores_gemma":[0.030959575,0.0014803585,0.024182525,0.002459358,0.035103787,0.000088633264,0.00003293994,0.000014394382,0.00007211506,0.00024713,0.90465134,0.00070784363],"about_ca_topic_score_codex":0.000049947692,"about_ca_topic_score_gemma":7.0397647e-7,"teacher_disagreement_score":0.16524038,"about_ca_system_score_codex":0.00031580523,"about_ca_system_score_gemma":0.0005170895,"threshold_uncertainty_score":0.9997896},"labels":[],"label_agreement":null},{"id":"W2486556987","doi":"10.1016/j.jcct.2016.07.013","title":"The 100 most-cited original articles in cardiac computed tomography: A bibliometric analysis","year":2016,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Bibliometrics; Web of science; Citation analysis; Scopus; Citation; Sample size determination; Subject (documents); Library science; MEDLINE; Meta-analysis; Statistics; Computer science; Pathology; Mathematics","score_opus":0.015324503304082169,"score_gpt":0.25754682969635834,"score_spread":0.24222232639227617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486556987","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020016318,0.89783937,0.09977517,0.000009030185,0.0013445353,0.0004798751,0.00005017742,0.00017432625,0.000127328],"genre_scores_gemma":[0.0022170772,0.9941396,0.0025317394,0.00000924124,0.000902767,0.00003189294,0.000026540225,0.00013725604,0.000003869099],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936255,0.00091795716,0.0022657644,0.00053826266,0.0016495835,0.0010028972],"domain_scores_gemma":[0.9959401,0.00097640936,0.00073925,0.001296131,0.0006600786,0.000388042],"candidate_categories":["metaepi_narrow","metaepi_broad","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0026201126,0.0009819639,0.005234086,0.1308525,0.0002451217,0.00037835524,0.0013531736,0.00038085954,0.00000854408],"category_scores_gemma":[0.0000715638,0.0006459503,0.015227662,0.29557708,0.00020340148,0.00047597208,0.00013944946,0.0014704484,0.000012253646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012696367,0.000042953005,0.00041158276,0.0011637001,0.06063742,0.00025843136,0.000023847813,0.03798575,6.339922e-7,0.000024993786,0.0003685722,0.8990694],"study_design_scores_gemma":[0.000869604,0.00006556784,0.0011630374,0.004511316,0.014790901,0.0002016451,0.00001681378,0.0019052278,0.0000062201557,0.00012059859,0.9755294,0.0008197047],"about_ca_topic_score_codex":0.0000117259215,"about_ca_topic_score_gemma":0.0000023267598,"teacher_disagreement_score":0.9751608,"about_ca_system_score_codex":0.00021206168,"about_ca_system_score_gemma":0.00014520927,"threshold_uncertainty_score":0.99959916},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W2495071146","doi":"10.1016/j.jcct.2016.08.005","title":"Stepping stones, milestones, and obstructing boulders","year":2016,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care","funders":"","keywords":"Medicine; Expansive; Radiology; General surgery","score_opus":0.006942162124766336,"score_gpt":0.2454729125730394,"score_spread":0.23853075044827307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495071146","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042427504,0.25266865,0.009993352,0.00013362861,0.73213875,0.00032956453,0.000066797875,0.000084765255,0.00034176602],"genre_scores_gemma":[0.012598102,0.008823841,0.006347318,0.00006984665,0.9718674,0.0000052322675,0.00006494167,0.00018412601,0.00003920571],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99533117,0.00025788142,0.0010279746,0.0004999669,0.0023786796,0.00050434354],"domain_scores_gemma":[0.99492943,0.0012266816,0.00078165496,0.0007736661,0.0018066767,0.00048187046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015026188,0.00057413476,0.002484836,0.0013662995,0.00015015482,0.0001444313,0.0002515902,0.0007595972,0.0000037798245],"category_scores_gemma":[0.001261323,0.0004582434,0.0045271404,0.00055413175,0.00027463783,0.0001770978,0.00014721272,0.001707397,0.000002830637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020929251,0.00007358779,0.00312693,0.00091595104,0.023111494,0.0021391346,0.0001269982,0.00024599882,0.000033454857,0.000007554451,0.91010636,0.059903253],"study_design_scores_gemma":[0.006141826,0.0002607916,0.004828326,0.0039668037,0.00858084,0.0033301846,0.00008113354,0.000011781171,0.0000423677,0.000058878202,0.9721741,0.0005229548],"about_ca_topic_score_codex":0.00003127012,"about_ca_topic_score_gemma":3.1410713e-7,"teacher_disagreement_score":0.2438448,"about_ca_system_score_codex":0.00013413583,"about_ca_system_score_gemma":0.000587002,"threshold_uncertainty_score":0.9997869},"labels":[],"label_agreement":null},{"id":"W2498747488","doi":"10.1016/j.jcct.2016.07.011","title":"Appreciation is a wonderful thing. It makes what is excellent in others belong to us as well ― Voltaire","year":2016,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care","funders":"","keywords":"Gratitude; Globe; Test (biology); Medicine; Interpretation (philosophy); Friendship; Public relations; Political science; Psychology; Social psychology; Computer science","score_opus":0.005758513355813424,"score_gpt":0.2490658973159715,"score_spread":0.24330738396015808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498747488","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004418724,0.16560037,0.012210688,0.0044963257,0.8097489,0.0013275465,0.00009077399,0.000105578394,0.0020011258],"genre_scores_gemma":[0.012050284,0.031055052,0.002612953,0.004234574,0.94897014,0.000036789763,0.00010743505,0.00037831787,0.0005544685],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931215,0.00034862533,0.0013549487,0.00074066716,0.0037741128,0.0006601493],"domain_scores_gemma":[0.99489933,0.0008462911,0.00072700606,0.0011445445,0.0018231631,0.0005596537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021308467,0.00072062906,0.002538275,0.0025458538,0.00010131187,0.00036876585,0.00047669807,0.00095862197,0.00006450976],"category_scores_gemma":[0.0005787252,0.0006048532,0.0063800523,0.0012271187,0.0001001269,0.00042895396,0.00014870524,0.001684823,0.000103700935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003651097,0.00017264878,0.001845609,0.00030090942,0.008161785,0.0010426563,0.001293436,0.0008192505,0.00000786612,7.7212707e-7,0.95691067,0.029079275],"study_design_scores_gemma":[0.005863398,0.00045566037,0.0011837949,0.0076677673,0.0031662902,0.00028136667,0.00040844738,0.00004661916,0.00024209809,0.00008947609,0.979981,0.0006140677],"about_ca_topic_score_codex":0.0001594086,"about_ca_topic_score_gemma":0.000005427589,"teacher_disagreement_score":0.13922127,"about_ca_system_score_codex":0.0004317454,"about_ca_system_score_gemma":0.00076766626,"threshold_uncertainty_score":0.9996403},"labels":[],"label_agreement":null},{"id":"W2511550110","doi":"10.1016/j.jcct.2016.08.007","title":"CT pulmonary angiography-based scoring system to predict the prognosis of acute pulmonary embolism","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Pulmonary embolism; Radiology; Pleural effusion; Internal medicine; Logistic regression; Malignancy; Pericardial effusion; Mortality rate; Surgery","score_opus":0.0088744081207376,"score_gpt":0.21626459634012885,"score_spread":0.20739018821939126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511550110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8513316,0.044615127,0.09065162,0.0039746007,0.0029223543,0.0039176736,0.000098649056,0.00030060194,0.0021877922],"genre_scores_gemma":[0.99513406,0.0006826335,0.003137118,0.00020922832,0.0007051024,0.000060540293,0.0000044317853,0.00006168178,0.000005189861],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9960755,0.00029629952,0.0010681727,0.00040509427,0.0016490503,0.0005058557],"domain_scores_gemma":[0.99715906,0.00014057844,0.00052692945,0.0010204909,0.00075522106,0.0003977459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015896395,0.00038258452,0.0016475052,0.0016415056,0.00014797066,0.000043083553,0.0005998794,0.000083486964,0.0000081207645],"category_scores_gemma":[0.000024672318,0.00021482732,0.0068187686,0.0020128922,0.0001654464,0.00018080606,0.00015959181,0.0002462645,0.000004803433],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020317235,0.005442674,0.2316008,0.004203389,0.24031217,0.016019195,0.00049471477,0.014441812,0.010192029,0.0013140534,0.013188927,0.4607585],"study_design_scores_gemma":[0.0059945327,0.0023215094,0.8751529,0.010785232,0.031059906,0.0045673014,0.00034727072,0.00092158554,0.009820585,0.00007630734,0.05811444,0.00083842984],"about_ca_topic_score_codex":0.000034066587,"about_ca_topic_score_gemma":3.3562e-7,"teacher_disagreement_score":0.64355206,"about_ca_system_score_codex":0.00007864221,"about_ca_system_score_gemma":0.00012451725,"threshold_uncertainty_score":0.8760404},"labels":[],"label_agreement":null},{"id":"W2511900377","doi":"10.1016/j.jcct.2016.08.001","title":"The effect of a whole heart motion-correction algorithm on CT image quality and measurement reproducibility in Pre-TAVR aortic annulus evaluation","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Reproducibility; Image quality; Nuclear medicine; Concordance; Wilcoxon signed-rank test; Radiology; Standard deviation; Internal medicine; Mathematics; Statistics; Artificial intelligence; Image (mathematics); Mann–Whitney U test","score_opus":0.017575252107492542,"score_gpt":0.29266350907068805,"score_spread":0.2750882569631955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511900377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9539635,0.013372408,0.029754883,0.000759544,0.0012514878,0.0008187314,0.000005081151,0.000020376414,0.000053960703],"genre_scores_gemma":[0.99900144,0.00014097065,0.0005555869,0.000021538359,0.00025224366,0.000012515925,0.0000015586943,0.000012563413,0.0000015630751],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9953025,0.0016567339,0.00072545523,0.00040546013,0.0017269856,0.00018284324],"domain_scores_gemma":[0.9967678,0.000645568,0.00029321172,0.0010084327,0.0011774723,0.00010752347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024545843,0.00016347159,0.0007460724,0.00033258306,0.00007276894,0.000030042102,0.000068733716,0.000041786832,0.0000010899003],"category_scores_gemma":[0.0049041933,0.000092677335,0.0013028235,0.0004912379,0.00013702031,0.00011758085,0.000028322302,0.0002369715,9.030462e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005627292,0.00020021679,0.21798629,0.00011867826,0.0019909102,0.000025041705,0.000088558336,0.0010212521,0.001626954,8.094101e-7,0.000874755,0.7755038],"study_design_scores_gemma":[0.0055321814,0.0009553792,0.9741177,0.00071029796,0.0011964624,0.00028389375,0.000018761591,0.0016368119,0.014620921,0.00008137597,0.00074080285,0.000105424406],"about_ca_topic_score_codex":0.000078101184,"about_ca_topic_score_gemma":0.0000016995677,"teacher_disagreement_score":0.7753984,"about_ca_system_score_codex":0.00017655318,"about_ca_system_score_gemma":0.00009690926,"threshold_uncertainty_score":0.8507148},"labels":[],"label_agreement":null},{"id":"W2521501236","doi":"10.1016/j.jcct.2016.09.004","title":"Computed tomography assessment for transcatheter aortic valve in valve implantation: The vancouver approach to predict anatomical risk for coronary obstruction and other considerations","year":2016,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Aortic root; Aortic valve; Heart valve; Internal medicine; Computed tomography; Radiology; Occlusion; Aorta","score_opus":0.021896239972238076,"score_gpt":0.3170582662479124,"score_spread":0.29516202627567434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521501236","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011356162,0.8718783,0.11935814,0.000020263971,0.0010480512,0.005385038,0.0010973368,0.000031784533,0.00004546391],"genre_scores_gemma":[0.057728138,0.8878958,0.049506057,0.0003074144,0.0021943941,0.0016511054,0.0004143594,0.00029732386,0.0000053838776],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99654245,0.0004874449,0.0012919026,0.000588336,0.00068596366,0.0004039015],"domain_scores_gemma":[0.9971382,0.00078164786,0.0006464303,0.0005774789,0.000514369,0.00034186748],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00091866404,0.0005895498,0.002758674,0.0011262847,0.00021087003,0.000093630406,0.00016596202,0.00029153816,0.0000041553253],"category_scores_gemma":[0.000038249666,0.00036151087,0.027840035,0.0006649373,0.00012870178,0.000118947864,0.000038065897,0.00042421886,3.8175676e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005037324,0.00096291606,0.009858051,0.0057192966,0.19871467,0.000022120055,0.0002619466,0.0010471062,2.6569745e-7,0.00016485681,0.0026884777,0.78005654],"study_design_scores_gemma":[0.032748424,0.002731115,0.15586749,0.016541956,0.2342561,0.0039515286,0.00027736937,0.0014687931,0.0000017549419,0.002214056,0.54818016,0.0017612604],"about_ca_topic_score_codex":0.000012150211,"about_ca_topic_score_gemma":0.0000021667909,"teacher_disagreement_score":0.7782953,"about_ca_system_score_codex":0.00016414697,"about_ca_system_score_gemma":0.00033174938,"threshold_uncertainty_score":0.9998837},"labels":[],"label_agreement":null},{"id":"W2530696279","doi":"10.1016/j.jcct.2016.10.002","title":"SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee","year":2016,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":1060,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Computed tomography; Computed tomographic angiography; Radiology; Declaration; Computed tomography angiography; Tomography; Medical physics; Computed tomographic; Coronary angiography; Transparency (behavior); Fractional flow reserve; Angiography; Cardiology; Myocardial infarction","score_opus":0.05126306935742973,"score_gpt":0.3121973356022295,"score_spread":0.26093426624479976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530696279","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016148663,0.9542641,0.03967991,0.0004586586,0.0011938164,0.0025467272,0.00017726289,0.00004902003,0.000015645128],"genre_scores_gemma":[0.011160893,0.96941787,0.017611993,0.00019293805,0.0013235827,0.000049441252,0.00009974902,0.00013871414,0.000004806729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900564,0.0007474937,0.005247286,0.0007574003,0.0026126462,0.00057876424],"domain_scores_gemma":[0.98388135,0.00077543064,0.004793754,0.0025805817,0.0077123623,0.0002565466],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.005922248,0.0010283582,0.00674734,0.0021846902,0.00032626485,0.000056240046,0.0012668156,0.0005526052,0.0000048480333],"category_scores_gemma":[0.00018744625,0.0005819293,0.05007592,0.0049898154,0.0011450287,0.0003238082,0.0003508963,0.00078554644,2.0826144e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016182903,0.0002674535,0.005052844,0.018229058,0.18635103,0.00006936841,0.00010840628,0.004297532,0.00001511836,0.000024891522,0.018277124,0.76714534],"study_design_scores_gemma":[0.0057040467,0.000747653,0.0138278315,0.044443708,0.057104923,0.0072245887,0.00008400618,0.0037660087,0.00013663947,0.0000624439,0.86609244,0.00080571166],"about_ca_topic_score_codex":0.000049752114,"about_ca_topic_score_gemma":5.3599905e-7,"teacher_disagreement_score":0.84781533,"about_ca_system_score_codex":0.00005360467,"about_ca_system_score_gemma":0.00061319454,"threshold_uncertainty_score":0.99966323},"labels":[],"label_agreement":null},{"id":"W2565455214","doi":"10.1016/j.jcct.2016.12.001","title":"Coronary Computed Tomographic Angiography – The evidence dominates!","year":2016,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Reimbursement; Coronary artery disease; Radiology; Computed tomographic angiography; Angiography; Randomized controlled trial; Evidence-based medicine; Health care; Computed tomography angiography; Intensive care medicine; Cardiology; Surgery","score_opus":0.009777503580687926,"score_gpt":0.25224324447665963,"score_spread":0.2424657408959717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565455214","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00070456107,0.40935126,0.012767033,0.0006877984,0.5751885,0.0008064714,0.00012890052,0.00015414218,0.00021130375],"genre_scores_gemma":[0.06575651,0.020245366,0.002731475,0.0003221786,0.91044587,0.000034011762,0.00013411719,0.00028742987,0.000043035292],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99047047,0.0010288804,0.0017698437,0.0008516052,0.0049687806,0.0009104418],"domain_scores_gemma":[0.98503447,0.005808901,0.0013706976,0.0023449003,0.004780555,0.00066049845],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004084022,0.0010649328,0.0034608021,0.0029743402,0.00031938055,0.00026979434,0.0013214025,0.001106476,0.00002028057],"category_scores_gemma":[0.001623518,0.00065890275,0.025218228,0.002973094,0.00087877136,0.0003420512,0.00034180834,0.0029321995,0.00002121912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063643936,0.00020930317,0.0054284628,0.0004148628,0.038811326,0.0027238277,0.00006534173,0.00027459484,0.000011160884,0.000010208159,0.9350209,0.016393555],"study_design_scores_gemma":[0.0061839367,0.0010181947,0.022968411,0.008629243,0.02097397,0.0026234558,0.000028549564,0.00003534122,0.000045577643,0.00018909771,0.9364863,0.0008179134],"about_ca_topic_score_codex":0.00003520115,"about_ca_topic_score_gemma":7.812413e-7,"teacher_disagreement_score":0.3891059,"about_ca_system_score_codex":0.00014720835,"about_ca_system_score_gemma":0.00096632715,"threshold_uncertainty_score":0.9995862},"labels":[],"label_agreement":null},{"id":"W2566365448","doi":"10.1016/j.jcct.2016.12.002","title":"Rationale, design and goals of the HeartFlow assessing diagnostic value of non-invasive FFR CT in Coronary Care (ADVANCE) registry","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Fractional flow reserve; Coronary artery disease; Clinical endpoint; Revascularization; Percutaneous coronary intervention; Cardiology; Internal medicine; Unstable angina; Angina; Target lesion; Radiology; Clinical trial; Myocardial infarction; Coronary angiography","score_opus":0.008920782320691975,"score_gpt":0.23937395789721977,"score_spread":0.23045317557652778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566365448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82893777,0.058138985,0.11146863,0.00028546102,0.00049892045,0.0005575631,0.000015131161,0.00000832882,0.00008921567],"genre_scores_gemma":[0.9849482,0.0015301958,0.013242899,0.00006408601,0.00018515415,0.0000046598484,0.0000020744433,0.00002059693,0.00000212844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978554,0.00037116272,0.00064264494,0.00018840653,0.0007564356,0.00018595159],"domain_scores_gemma":[0.995889,0.0023681358,0.00041175802,0.0004769042,0.0007406143,0.0001135939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077986455,0.00017967081,0.0009054241,0.0003651942,0.000048422764,0.00001751389,0.00014169647,0.00006061178,0.0000014673069],"category_scores_gemma":[0.0013147093,0.000114038354,0.0014263571,0.0005494075,0.00027069566,0.00017317527,0.00006256877,0.00023430925,2.3062448e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018445039,0.00019417098,0.91136837,0.00065199856,0.003253819,0.00097361725,0.00037323745,0.049533866,0.0037337765,0.000046745005,0.00077929464,0.028906642],"study_design_scores_gemma":[0.005173104,0.00023757719,0.97130936,0.0048901457,0.0012526371,0.0019405946,0.00024747688,0.0001586291,0.013860595,0.00017917455,0.0005953294,0.00015537512],"about_ca_topic_score_codex":0.000015944215,"about_ca_topic_score_gemma":7.5931234e-7,"teacher_disagreement_score":0.15601045,"about_ca_system_score_codex":0.00005767697,"about_ca_system_score_gemma":0.0004096355,"threshold_uncertainty_score":0.4650349},"labels":[],"label_agreement":null},{"id":"W2580802997","doi":"10.1016/j.jcct.2017.01.007","title":"Quantifying Aortic Valve Calcification using Coronary Computed Tomography Angiography","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Agatston score; Radiology; Cardiology; Aortic valve; Cohort; Computed tomography angiography; Internal medicine; Calcification; Ascending aorta; Angiography; Coronary artery disease; Aorta; Nuclear medicine; Coronary artery calcium","score_opus":0.04225732642260768,"score_gpt":0.2991175653131661,"score_spread":0.2568602388905584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580802997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7722642,0.088506944,0.13423268,0.0002240199,0.0032374384,0.00065165217,0.000024370818,0.00014271436,0.00071601913],"genre_scores_gemma":[0.976358,0.0003376892,0.02198872,0.00014470154,0.0010616938,0.0000039352876,0.000026445981,0.00007687807,0.0000019585202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961311,0.00026566026,0.001077294,0.00050157664,0.0014416713,0.0005826464],"domain_scores_gemma":[0.9948615,0.00019146538,0.0010734497,0.0018473587,0.0014954077,0.00053083233],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0013349539,0.00047360692,0.0015946715,0.0021228883,0.00070413545,0.0003653681,0.0005800321,0.00023338129,0.000009792285],"category_scores_gemma":[0.00018316049,0.00044600095,0.013278228,0.0012123532,0.0004429699,0.0004849538,0.00015831023,0.00071001874,0.000008693644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020323426,0.00036196256,0.95543355,0.00020853309,0.021326574,0.0006248039,0.00013322545,0.0052726786,0.00043736072,0.00004837526,0.0012887599,0.01466095],"study_design_scores_gemma":[0.004337843,0.00026141317,0.97515196,0.0009102843,0.008019778,0.0029604016,0.00007863621,0.003685364,0.00049449515,0.00010127884,0.0035299484,0.0004685859],"about_ca_topic_score_codex":0.00010027303,"about_ca_topic_score_gemma":8.712644e-7,"teacher_disagreement_score":0.20409381,"about_ca_system_score_codex":0.000070645016,"about_ca_system_score_gemma":0.0001888712,"threshold_uncertainty_score":0.9997992},"labels":[],"label_agreement":null},{"id":"W2583163920","doi":"10.1016/j.jcct.2017.01.009","title":"Sex differences in the aortic root size: Implications for TAVR","year":2017,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Scopus; Context (archaeology); Internal medicine; Coronary artery disease; Cardiology; Disease; Stenosis; Pathophysiology; MEDLINE","score_opus":0.02315884766751219,"score_gpt":0.3050888877634487,"score_spread":0.28193004009593653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583163920","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19176291,0.2107386,0.012300257,0.5680256,0.005136057,0.008667846,0.0010997591,0.00012586704,0.002143092],"genre_scores_gemma":[0.9540535,0.0010182973,0.00069614715,0.034567405,0.009074095,0.0001883678,0.0002324995,0.00009846587,0.0000712292],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99748397,0.00025599534,0.0006619131,0.00034151634,0.00086918246,0.00038744335],"domain_scores_gemma":[0.99691176,0.0004822613,0.00059021474,0.001390116,0.0005043304,0.00012128396],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00063844817,0.00038562727,0.0017070728,0.0005017663,0.00019592163,0.0001738582,0.00060683966,0.00035968111,0.0000042730035],"category_scores_gemma":[0.00013188313,0.00024342736,0.017231265,0.00031766968,0.0001203721,0.00008376389,0.00004483581,0.0010540205,0.0000015838718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015407504,0.0004685722,0.25668737,0.0006638931,0.10414022,0.0013723994,0.00014723802,0.000062584986,0.0000018423679,0.000015802108,0.61335284,0.022933131],"study_design_scores_gemma":[0.0035462354,0.00030962873,0.7334698,0.0003884685,0.017508782,0.0006551011,0.00001858975,0.000011700446,0.0000017048692,0.0005677459,0.24329068,0.00023160197],"about_ca_topic_score_codex":0.00002572386,"about_ca_topic_score_gemma":6.322349e-7,"teacher_disagreement_score":0.7622906,"about_ca_system_score_codex":0.000062858584,"about_ca_system_score_gemma":0.00022363993,"threshold_uncertainty_score":0.992668},"labels":[],"label_agreement":null},{"id":"W2587595450","doi":"10.1016/j.jcct.2017.01.011","title":"Mid-diastolic left ventricular volume and mass: Normal values for coronary computed tomography angiography","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Centre Hospitalier de l’Université de Montréal; Montreal Heart Institute; University of Ottawa","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Ejection fraction; Coronary artery disease; Myocardial infarction; Ventricle; Diastole; Prospective cohort study; Stroke volume; Revascularization; Heart failure; Blood pressure","score_opus":0.010312150701708428,"score_gpt":0.23617411367613822,"score_spread":0.2258619629744298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587595450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55242276,0.29117128,0.14845824,0.00093185867,0.00419441,0.0016840913,0.00014933036,0.00019769778,0.0007902994],"genre_scores_gemma":[0.97386825,0.00074342114,0.023429675,0.0002420327,0.0015538165,0.000011463305,0.00004979622,0.00008655768,0.000014978876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996591,0.00019326559,0.0008786253,0.00052916555,0.0011304282,0.00067755615],"domain_scores_gemma":[0.9957816,0.00024400705,0.00071959174,0.0012944797,0.0013027783,0.0006575199],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012496224,0.00052590115,0.0017811114,0.0018684758,0.0006497663,0.00036198576,0.00051378977,0.00025343616,0.000009707315],"category_scores_gemma":[0.00019227435,0.00048766492,0.00969525,0.0005994093,0.00054052897,0.00043922526,0.00015951348,0.0005366956,0.0000044676517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045789985,0.00031012486,0.9484995,0.00037265118,0.022168547,0.0018303986,0.00013364911,0.0018353546,0.0000833705,0.000020367412,0.011829966,0.012458198],"study_design_scores_gemma":[0.009745708,0.0008669349,0.9218236,0.00062864297,0.008100931,0.006063343,0.00006935379,0.0012966464,0.0004593428,0.00035498446,0.050012965,0.00057750364],"about_ca_topic_score_codex":0.000028171775,"about_ca_topic_score_gemma":5.1717467e-7,"teacher_disagreement_score":0.4214455,"about_ca_system_score_codex":0.00003750136,"about_ca_system_score_gemma":0.00012881734,"threshold_uncertainty_score":0.9997575},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Asymptomatic; Task force; Statement (logic); Context (archaeology); Coronary artery disease; Guideline; Population; Cohort; Internal medicine; Pathology","score_opus":0.08269501356505957,"score_gpt":0.360645541994821,"score_spread":0.2779505284297614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589983177","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012197403,0.9593377,0.033228282,0.00007934156,0.0026531373,0.0029666952,0.0004401691,0.00004867331,0.00002625945],"genre_scores_gemma":[0.0067943917,0.97439873,0.016046466,0.00016834222,0.0017454559,0.00013495331,0.000556211,0.00015400496,0.0000014246639],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99086845,0.0014579758,0.0042189145,0.000807675,0.0020052367,0.0006417709],"domain_scores_gemma":[0.98924786,0.0031866173,0.0027929847,0.002722216,0.0016349297,0.00041541035],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.004839819,0.0008843398,0.007888101,0.001009999,0.00028351808,0.00013514154,0.0009723895,0.00059726526,0.0000027197082],"category_scores_gemma":[0.00055889576,0.00065359095,0.04328089,0.0010952433,0.0006795635,0.00013270769,0.00028688353,0.0015263138,0.0000021900792],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010408518,0.0010679036,0.023268845,0.0052937265,0.16628455,0.00024872553,0.0003100397,0.0008339018,1.08718275e-7,0.000005133075,0.010970701,0.79161227],"study_design_scores_gemma":[0.010746751,0.0005717605,0.05151695,0.03378408,0.045351498,0.00046330137,0.0001445062,0.0003487558,0.0000021142862,0.000044029654,0.8562609,0.00076533895],"about_ca_topic_score_codex":0.00011165546,"about_ca_topic_score_gemma":0.0000012455095,"teacher_disagreement_score":0.8452902,"about_ca_system_score_codex":0.0002127709,"about_ca_system_score_gemma":0.0010274508,"threshold_uncertainty_score":0.9995915},"labels":[],"label_agreement":null},{"id":"W2597265774","doi":"10.1016/j.jcct.2017.05.001","title":"Prognostic value of segment involvement score compared to other measures of coronary atherosclerosis by computed tomography: A systematic review and meta-analysis","year":2017,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Mace; Agatston score; Coronary artery disease; Internal medicine; Myocardial infarction; Cardiology; Hazard ratio; Coronary Calcium Score; Revascularization; Confidence interval; Percutaneous coronary intervention; Coronary artery calcium","score_opus":0.11469214931523639,"score_gpt":0.3191086981932496,"score_spread":0.20441654887801322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597265774","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000056254798,0.9821079,0.0117125735,0.000055074725,0.00018575175,0.0053392914,0.00049042184,0.00003238267,0.0000203907],"genre_scores_gemma":[0.003815512,0.991633,0.003779531,0.0002645871,0.000090481764,0.00017870708,0.00011237924,0.00011934337,0.000006431985],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9905528,0.0017129936,0.0039379336,0.0007222524,0.002616472,0.0004575585],"domain_scores_gemma":[0.9900468,0.00066845125,0.004278797,0.0023673554,0.0020479972,0.00059059286],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.004146245,0.0010811678,0.02623662,0.0025707763,0.000115559356,0.00009443409,0.0008155888,0.00028026846,0.000010780063],"category_scores_gemma":[0.00033635003,0.0007504416,0.035698317,0.0025905068,0.0003076508,0.00009938306,0.00026479378,0.00062637415,0.0000013899399],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017902574,0.00035393087,0.00091507944,0.38655084,0.6080059,0.000046519486,0.000052118517,0.00028488532,7.292385e-7,0.000003485129,0.0010006969,0.0027679396],"study_design_scores_gemma":[0.0009896362,0.00039212065,0.0007864248,0.14839296,0.83002454,0.00032107966,0.00001433132,0.000025520656,0.000006658364,0.0000035659446,0.018564025,0.0004791271],"about_ca_topic_score_codex":0.00008553979,"about_ca_topic_score_gemma":0.0000018410968,"teacher_disagreement_score":0.2381579,"about_ca_system_score_codex":0.00009611895,"about_ca_system_score_gemma":0.0003074284,"threshold_uncertainty_score":0.9994947},"labels":[],"label_agreement":null},{"id":"W2598227209","doi":"10.1016/j.jcct.2017.03.004","title":"Prognostic value of visually detected coronary artery calcification on unenhanced non-gated thoracic computed tomography for prediction of non-fatal myocardial infarction and all-cause mortality","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Canada Research Chairs; University of Toronto","funders":"","keywords":"Medicine; Myocardial infarction; Cardiology; Coronary arteries; Internal medicine; Calcification; Coronary artery disease; Radiology; Agatston score; Retrospective cohort study; Artery; Coronary artery calcium","score_opus":0.02338286083489591,"score_gpt":0.29994034275216647,"score_spread":0.27655748191727053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598227209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87891203,0.0015772216,0.11666558,0.000052786156,0.0011922234,0.00131622,0.00017970838,0.000052271163,0.000051949588],"genre_scores_gemma":[0.9948925,0.00031140127,0.00396911,0.000028019896,0.0005349259,0.000022491213,0.00019045183,0.00005028184,8.3686524e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99669164,0.00023175208,0.0011905174,0.0004405252,0.0011097996,0.00033578053],"domain_scores_gemma":[0.9952264,0.00034495554,0.0012602886,0.0010038674,0.0018863084,0.00027821696],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011761442,0.0003827595,0.0014180964,0.0010784954,0.00021450692,0.00007839778,0.00024514928,0.00026244178,8.015834e-7],"category_scores_gemma":[0.0003863059,0.00036113596,0.002469849,0.00056805543,0.00038922843,0.0003083339,0.00007562307,0.00043962564,4.0150556e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005304345,0.00183813,0.7869437,0.00190685,0.10035029,0.00035978924,0.0006246686,0.018472854,0.030196296,0.00003691566,0.0006015123,0.053364657],"study_design_scores_gemma":[0.006345417,0.002146565,0.9521573,0.0011293464,0.0093813725,0.00051146897,0.000045076275,0.01626953,0.011566785,0.000051811938,0.00014482385,0.00025051547],"about_ca_topic_score_codex":0.000034894867,"about_ca_topic_score_gemma":0.0000010658581,"teacher_disagreement_score":0.1652136,"about_ca_system_score_codex":0.000050385017,"about_ca_system_score_gemma":0.00017643963,"threshold_uncertainty_score":0.99988407},"labels":[],"label_agreement":null},{"id":"W2605275687","doi":"10.1016/j.jcct.2017.04.002","title":"Left ventricular access point determination for a coaxial approach to the mitral annular landing zone in transcatheter mitral valve replacement","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Medicine; Cardiology; Mitral valve replacement; Internal medicine; Coaxial; Mitral valve; Mechanical engineering; Engineering","score_opus":0.021639416717284702,"score_gpt":0.31291386979958885,"score_spread":0.29127445308230415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605275687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78065556,0.0116848415,0.20422195,0.0004333999,0.0007812047,0.0020109348,0.000043271113,0.000018468412,0.00015038105],"genre_scores_gemma":[0.996061,0.00008408419,0.0030238454,0.000112084505,0.00060747523,0.00004482156,0.000030933243,0.000031070296,0.0000046815903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786276,0.00014241158,0.0005285864,0.0003205414,0.0007809137,0.00036479838],"domain_scores_gemma":[0.9983092,0.00004339205,0.0002945879,0.0007676354,0.0003387258,0.00024649108],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0010903471,0.00025159982,0.000818498,0.0005146608,0.00025533605,0.0002468497,0.00041369925,0.00009360394,0.000002351778],"category_scores_gemma":[0.000057938243,0.00017546462,0.024402091,0.00021839158,0.000050446564,0.00028317617,0.00006836991,0.00022406537,8.124293e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040518506,0.002270572,0.8335684,0.0005192024,0.1060806,0.00051812106,0.0013080098,0.013086882,0.000034504334,0.000051876224,0.0011565691,0.0373534],"study_design_scores_gemma":[0.013344513,0.00072554057,0.96575737,0.00033765423,0.011879295,0.00089324225,0.00010691776,0.0016267366,0.0001762848,0.000070549395,0.0048113307,0.00027058003],"about_ca_topic_score_codex":0.000038352115,"about_ca_topic_score_gemma":0.0000020232296,"teacher_disagreement_score":0.21540546,"about_ca_system_score_codex":0.00011030986,"about_ca_system_score_gemma":0.00006773519,"threshold_uncertainty_score":0.9853683},"labels":[],"label_agreement":null},{"id":"W2700881292","doi":"10.1016/j.jcct.2017.06.002","title":"Interpreting results of coronary computed tomography angiography-derived fractional flow reserve in clinical practice","year":2017,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"Siemens; Edwards Lifesciences","keywords":"Fractional flow reserve; Medicine; Computed tomography angiography; Coronary arteries; Radiology; Coronary artery disease; Coronary angiography; Computed tomography; Computed tomographic angiography; Cardiology; Angiography; Clinical Practice; Artery; Clinical significance; Internal medicine; Myocardial infarction","score_opus":0.07451126901797098,"score_gpt":0.3883624462048294,"score_spread":0.3138511771868584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2700881292","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036532021,0.9886076,0.0056227455,0.000103654354,0.002732117,0.001185164,0.0002674985,0.00004087967,0.0010750112],"genre_scores_gemma":[0.005415042,0.9641001,0.02876461,0.00006484836,0.0012067575,0.000021058433,0.00030225224,0.00011669725,0.000008613458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9880002,0.0023743103,0.006272579,0.00086672173,0.0019072939,0.00057887536],"domain_scores_gemma":[0.98514676,0.0036130736,0.0058875475,0.002081758,0.0027609395,0.0005099143],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0067648035,0.00087811885,0.007005546,0.0049289926,0.00017144992,0.00012698518,0.0011490696,0.00094725046,0.000029937848],"category_scores_gemma":[0.0028037329,0.00076599396,0.03661673,0.0024502184,0.0005323222,0.0005359065,0.00043621653,0.0029655762,0.000008673481],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00205061,0.0026796146,0.0058240634,0.0066527864,0.05764426,0.0055655353,0.000073683346,0.000776353,1.8906172e-7,0.000015015376,0.0069046738,0.9118132],"study_design_scores_gemma":[0.0072327624,0.0020050483,0.032876708,0.065955795,0.018671121,0.0071478947,0.00006831184,0.00035135652,6.631139e-7,0.000040834093,0.8650417,0.00060782366],"about_ca_topic_score_codex":0.00009920142,"about_ca_topic_score_gemma":0.000008943165,"teacher_disagreement_score":0.9112054,"about_ca_system_score_codex":0.00012221822,"about_ca_system_score_gemma":0.00081649475,"threshold_uncertainty_score":0.9994791},"labels":[],"label_agreement":null},{"id":"W2742608623","doi":"10.1016/j.jcct.2017.08.001","title":"Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Fractional flow reserve; Cardiology; Ventricle; Internal medicine; Lumen (anatomy); Coronary angiography; Radiology; Myocardial infarction","score_opus":0.007371701475479432,"score_gpt":0.23547792417267588,"score_spread":0.22810622269719644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742608623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840267,0.0041954066,0.007060448,0.00031649703,0.0034205355,0.00059945526,0.00017439984,0.000019482792,0.00018708431],"genre_scores_gemma":[0.99676687,0.00007987032,0.001662828,0.00009499297,0.0013210505,0.0000053893978,0.000028933006,0.00003629646,0.0000037521684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657923,0.00061136845,0.0006973342,0.0002957495,0.0015355034,0.00028081491],"domain_scores_gemma":[0.99671143,0.00047437302,0.0006611028,0.0012940235,0.0006063174,0.0002527588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011574214,0.00029615583,0.001358659,0.0005373107,0.00023186418,0.0000681637,0.00049500185,0.000103021,0.00002248456],"category_scores_gemma":[0.0004303802,0.00022467921,0.0073300307,0.00036136387,0.0002537588,0.00017861166,0.00014666824,0.00044014433,0.000004057923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004876206,0.00029667487,0.9207271,0.00010810439,0.022608038,0.0008045338,0.00013383188,0.024783118,0.004687838,0.0000038403573,0.006898787,0.014071932],"study_design_scores_gemma":[0.0077648745,0.0016076086,0.97026056,0.00052090833,0.003752807,0.00044375457,0.000018177343,0.00066094403,0.011445026,0.000047353493,0.0032838543,0.00019413176],"about_ca_topic_score_codex":0.000110571884,"about_ca_topic_score_gemma":0.0000011436025,"teacher_disagreement_score":0.049533464,"about_ca_system_score_codex":0.000053139996,"about_ca_system_score_gemma":0.00015280045,"threshold_uncertainty_score":0.91621524},"labels":[],"label_agreement":null},{"id":"W2755180333","doi":"10.1016/j.jcct.2017.09.008","title":"Structured reporting platform improves CAD-RADS assessment","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"National Research, Development and Innovation Office; Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; GE Healthcare","keywords":"Medicine; CAD; Coronary artery disease; Consistency (knowledge bases); Medical physics; Radiology; Stenosis; Standardization; Artificial intelligence; Computer science; Internal medicine; Engineering drawing","score_opus":0.020529256219601055,"score_gpt":0.2967384922093636,"score_spread":0.27620923598976255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755180333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92381275,0.024300449,0.040362645,0.00057448295,0.004657342,0.0004507861,0.000009540114,0.00009739362,0.005734592],"genre_scores_gemma":[0.98112345,0.00019266448,0.016910639,0.00010722161,0.0016119865,0.0000021576252,0.0000058809333,0.000035913665,0.000010105425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968853,0.000053913904,0.0012754144,0.0002593086,0.0011872444,0.00033883736],"domain_scores_gemma":[0.9950333,0.00006899607,0.0023732418,0.0013181093,0.0008818276,0.00032449924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019019095,0.00025687623,0.0013067299,0.00046231865,0.0003569832,0.00028243577,0.00030643897,0.00013352756,0.0000037237146],"category_scores_gemma":[0.00096146297,0.00020728304,0.0043552034,0.00019363927,0.0001507122,0.00030236517,0.00012465128,0.0006966237,0.0000010346206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003006587,0.00034736242,0.646695,0.0005623896,0.040454865,0.010576523,0.00032378518,0.0039711185,0.0034334874,0.00032409895,0.00677892,0.2862318],"study_design_scores_gemma":[0.0042993985,0.0002894687,0.96190965,0.0004702345,0.0031820424,0.006142662,0.000069159556,0.0005282504,0.0016061863,0.0003491953,0.020890748,0.00026297392],"about_ca_topic_score_codex":0.0000444434,"about_ca_topic_score_gemma":7.6486907e-7,"teacher_disagreement_score":0.3152147,"about_ca_system_score_codex":0.0000761609,"about_ca_system_score_gemma":0.00028842327,"threshold_uncertainty_score":0.8452757},"labels":[],"label_agreement":null},{"id":"W2757719964","doi":"10.1016/j.jcct.2017.09.015","title":"Coronary lumen volume to myocardial mass ratio in primary microvascular angina","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Lumen (anatomy); Angina; Myocardial infarction","score_opus":0.008004976056374097,"score_gpt":0.22656202431456027,"score_spread":0.21855704825818617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757719964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8468709,0.04390157,0.09790661,0.0019408829,0.0039253323,0.0011942838,0.000022564525,0.000093176255,0.004144689],"genre_scores_gemma":[0.9827749,0.00044164754,0.01455289,0.0006048512,0.0014992321,0.000009854519,0.0000177979,0.0000616305,0.000037189806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700207,0.0002076715,0.00072272273,0.0003776108,0.0012041286,0.00048580935],"domain_scores_gemma":[0.9970279,0.000074571166,0.00031345268,0.0014784369,0.00065776135,0.00044788027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017037595,0.0003319137,0.0015640702,0.0010459733,0.00020182888,0.0002134108,0.00047554116,0.00016500067,0.0000075756598],"category_scores_gemma":[0.00028376054,0.00032096493,0.00446897,0.00046881736,0.0001507806,0.00031987528,0.00016482122,0.00060964137,0.000021632031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062511227,0.00033257433,0.88251525,0.00021293253,0.014166545,0.008570942,0.0002711932,0.015698984,0.0015601611,0.000021587293,0.017133582,0.05889112],"study_design_scores_gemma":[0.006202171,0.0003450166,0.920128,0.00042674885,0.0017861712,0.001905984,0.00003223006,0.00022821242,0.0004443945,0.00004865772,0.068121165,0.00033128326],"about_ca_topic_score_codex":0.000051752126,"about_ca_topic_score_gemma":6.7758054e-7,"teacher_disagreement_score":0.13590401,"about_ca_system_score_codex":0.00018213867,"about_ca_system_score_gemma":0.0002939445,"threshold_uncertainty_score":0.99992424},"labels":[],"label_agreement":null},{"id":"W2760026784","doi":"10.1016/j.jcct.2017.09.009","title":"Fractional flow reserve derived from coronary computed tomography angiography reclassification rate using value distal to lesion compared to lowest value","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Fractional flow reserve; Medicine; Computed tomography angiography; Radiology; Value (mathematics); Coronary angiography; Lesion; Angiography; Computed tomography; Cardiology; Nuclear medicine; Statistics; Myocardial infarction; Surgery; Mathematics","score_opus":0.04648918762635706,"score_gpt":0.2984662089782217,"score_spread":0.2519770213518646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760026784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6892287,0.004127632,0.30311546,0.0006620158,0.0017766325,0.00074000395,0.00019537366,0.000060318824,0.00009385108],"genre_scores_gemma":[0.9221185,0.000091520866,0.07613108,0.00029718803,0.0010299158,0.000014451231,0.00024076928,0.000071448165,0.0000051300453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99536484,0.00064489356,0.0013194255,0.000719158,0.0014170259,0.0005346559],"domain_scores_gemma":[0.9944312,0.00038427528,0.00082982035,0.0017424074,0.0016680375,0.0009442874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013526902,0.00053693284,0.0014347472,0.0020991075,0.00084455713,0.00038285155,0.000811237,0.0002479118,0.000060144146],"category_scores_gemma":[0.00027169788,0.0005213184,0.006477885,0.0014377978,0.00020759355,0.000537239,0.00032855745,0.00062800513,0.000023169283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007206682,0.0029671828,0.5379209,0.00023906937,0.03201434,0.002437797,0.0004899615,0.37642518,0.011601641,0.00015145162,0.010327895,0.018217921],"study_design_scores_gemma":[0.0048131696,0.0008711344,0.9549951,0.0016277798,0.0027484922,0.00054485915,0.00011234753,0.024654083,0.0008827866,0.00023206433,0.007980463,0.0005377095],"about_ca_topic_score_codex":0.00061519834,"about_ca_topic_score_gemma":0.000029220282,"teacher_disagreement_score":0.41707423,"about_ca_system_score_codex":0.0001677333,"about_ca_system_score_gemma":0.00019232366,"threshold_uncertainty_score":0.99972385},"labels":[],"label_agreement":null},{"id":"W2769991427","doi":"10.1016/j.jcct.2017.11.010","title":"A rare case of portosystemic shunt: Variation of Abernethy malformation","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; Canada Research Chairs","funders":"","keywords":"Medicine; Portosystemic shunt; Peripheral edema; Abdominal pain; Blood pressure; Cardiology; Shunt (medical); Edema; Chest pain; Surgery; Internal medicine; Portal hypertension","score_opus":0.01286214444777547,"score_gpt":0.2491458885094304,"score_spread":0.23628374406165492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769991427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97846943,0.014613527,0.005346876,0.00005532074,0.00044934053,0.0003313579,0.000023734452,0.000012334649,0.00069805357],"genre_scores_gemma":[0.9978618,0.00022142987,0.0016454227,0.000009151298,0.00023669629,0.000002290121,0.0000038521093,0.000014682847,0.0000046890063],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980716,0.00010641638,0.00087460777,0.00012261985,0.0006804079,0.00014432892],"domain_scores_gemma":[0.99682456,0.00004500068,0.00091428874,0.00070865714,0.0013738362,0.00013363843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000833499,0.00015173956,0.0009727992,0.0005672939,0.00011926442,0.000022023069,0.00015647753,0.00008565214,0.000009152486],"category_scores_gemma":[0.00012766261,0.00012950986,0.0022584903,0.00025662538,0.0001093123,0.00030090148,0.00007487903,0.0001772644,0.0000010737025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004611621,0.0022404823,0.3455603,0.017226774,0.12731834,0.031550698,0.01075053,0.004531559,0.005784379,0.00057251635,0.002345037,0.44750777],"study_design_scores_gemma":[0.011655229,0.0011502793,0.9285228,0.0026227278,0.010672056,0.03561157,0.00062544394,0.004136021,0.0021995315,0.00026971675,0.0021521521,0.0003824405],"about_ca_topic_score_codex":0.00007535507,"about_ca_topic_score_gemma":0.000004044521,"teacher_disagreement_score":0.5829625,"about_ca_system_score_codex":0.000030511133,"about_ca_system_score_gemma":0.00010950871,"threshold_uncertainty_score":0.52812594},"labels":[],"label_agreement":null},{"id":"W2770198718","doi":"10.1016/j.jcct.2017.11.001","title":"Highlights of the Twelfth Annual Scientific Meeting of 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":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Presentation (obstetrics); Computed tomography; Medical education; Library science; Medical physics; Radiology","score_opus":0.02902268099781363,"score_gpt":0.27683879018570495,"score_spread":0.24781610918789132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770198718","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006210314,0.99021643,0.0020027286,0.00006628961,0.0050311503,0.0014135742,0.000289866,0.000034039498,0.00032488833],"genre_scores_gemma":[0.018430011,0.9761658,0.003569042,0.000030047237,0.0015654684,0.0000127035555,0.00004083249,0.00016626954,0.000019842157],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9894265,0.0015630873,0.0030519662,0.000766806,0.0045362334,0.0006553962],"domain_scores_gemma":[0.9854051,0.00061894587,0.00467816,0.004904536,0.0040834323,0.00030984762],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.006026098,0.0009521336,0.008779388,0.0013501152,0.0005402516,0.00012639235,0.0023817767,0.0006225863,0.0000025333554],"category_scores_gemma":[0.00042342028,0.0005574599,0.08900785,0.0039594783,0.002099759,0.00018784149,0.0008281785,0.0016508409,7.767195e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104678955,0.0011551143,0.0038745925,0.059077114,0.39118955,0.00022229724,0.0011131918,0.010471495,0.000016336562,0.00014210984,0.02331689,0.5093166],"study_design_scores_gemma":[0.002412951,0.00014990896,0.0035216326,0.04445383,0.061582122,0.0011017016,0.00006748234,0.00005878189,0.00025177267,0.000028965458,0.8858938,0.0004770341],"about_ca_topic_score_codex":0.0000875877,"about_ca_topic_score_gemma":9.089868e-7,"teacher_disagreement_score":0.8625769,"about_ca_system_score_codex":0.000108007895,"about_ca_system_score_gemma":0.0014523438,"threshold_uncertainty_score":0.9996877},"labels":[],"label_agreement":null},{"id":"W2773017721","doi":"10.1016/j.jcct.2017.11.015","title":"Rationale and design of the worldwide prospective multicenter registry on radiation dose estimates of cardiac CT angiography in daily practice in 2017 (PROTECTION VI)","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Defence and Security Accelerator; Universitätsklinikum Tübingen; Samsung; National Institutes of Health; Leids Universitair Medisch Centrum; Universiteit Leiden; Turun Yliopistollinen Keskussairaala; Macquarie University; Universitätsklinikum Essen; Università degli Studi di Cagliari; Aarhus Universitetshospital; Minneapolis Heart Institute; Universitätsklinikum Erlangen; George Washington University; Aarhus Universitet; University of Ottawa","keywords":"Medicine; Multicenter study; Angiography; Radiation dose; Radiology; Radiation exposure; Prospective cohort study; Coronary angiography; Radiation protection; Medical physics; Nuclear medicine; Cardiology; Internal medicine; Randomized controlled trial","score_opus":0.014576546359554092,"score_gpt":0.2582279440617533,"score_spread":0.2436513977021992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773017721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.922579,0.051660664,0.01912348,0.0016988363,0.0009811991,0.0032393537,0.000015389225,0.00001734808,0.0006847242],"genre_scores_gemma":[0.99495816,0.000949616,0.0039146575,0.000035581015,0.000114419374,0.000012132291,0.0000017242568,0.000011971883,0.0000017510827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983019,0.0003078821,0.0005273078,0.00017594086,0.0005626381,0.00012432676],"domain_scores_gemma":[0.9979466,0.00020773179,0.00094611506,0.00050599535,0.00034028132,0.000053279287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014105439,0.00013626716,0.0005573201,0.0008457667,0.00009439482,0.000050304276,0.00016195992,0.00004797476,7.601629e-7],"category_scores_gemma":[0.0007464925,0.0001053636,0.0009907974,0.0005235652,0.00013773044,0.0005158188,0.000030032623,0.00032712062,1.6605681e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024248778,0.00080709666,0.8056529,0.00028239036,0.008796221,0.00016648283,0.0016130015,0.0767688,0.0042223125,0.000063735046,0.0005277434,0.0986744],"study_design_scores_gemma":[0.0041326783,0.0001960198,0.9817701,0.0006850395,0.00064568495,0.00012094088,0.00012325941,0.0046267817,0.0066615753,0.00012109893,0.00082071556,0.00009610799],"about_ca_topic_score_codex":0.00011687508,"about_ca_topic_score_gemma":0.0000020077046,"teacher_disagreement_score":0.17611717,"about_ca_system_score_codex":0.00004731064,"about_ca_system_score_gemma":0.0000881192,"threshold_uncertainty_score":0.4296603},"labels":[],"label_agreement":null},{"id":"W2773527449","doi":"10.1016/j.jcct.2017.11.009","title":"Patent foramen ovale in patients with pulmonary embolism: A prognostic factor on CT pulmonary angiography?","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Patent foramen ovale; Pulmonary embolism; Pulmonary angiography; Internal medicine; Radiology; Cardiology; Retrospective cohort study; Angiography","score_opus":0.017553745668708466,"score_gpt":0.21978747037328034,"score_spread":0.20223372470457188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773527449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98291695,0.010163773,0.0030465783,0.00016227654,0.0004430582,0.0012556688,0.000030255631,0.00006711044,0.0019143494],"genre_scores_gemma":[0.9982805,0.00020716256,0.0010328573,0.000077475604,0.00026037334,0.000029214503,0.00003926746,0.00006719296,0.000005906321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964111,0.00018909444,0.0007437487,0.0005055573,0.0016369426,0.00051359803],"domain_scores_gemma":[0.9963648,0.00007516865,0.0005291806,0.0018345743,0.00079491886,0.00040136735],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005603471,0.00043532051,0.0013681919,0.0016354787,0.00031278277,0.00017697459,0.00055969885,0.00013110858,0.000008754141],"category_scores_gemma":[0.00008743411,0.00033831902,0.005997808,0.0009160387,0.00018280893,0.000356837,0.00012679673,0.0007330204,0.000007070751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010787015,0.0016897869,0.9244709,0.00011889256,0.015625408,0.002558261,0.00005941521,0.0030643013,0.000010763004,0.00004275206,0.000101336314,0.051179495],"study_design_scores_gemma":[0.008163727,0.0007755723,0.9822294,0.0009902879,0.00238544,0.0011432914,0.000024629486,0.00026437244,0.000031136475,0.00010403873,0.0035197097,0.00036837676],"about_ca_topic_score_codex":0.00005043443,"about_ca_topic_score_gemma":0.0000012546072,"teacher_disagreement_score":0.057758532,"about_ca_system_score_codex":0.00008370016,"about_ca_system_score_gemma":0.000120978715,"threshold_uncertainty_score":0.9999069},"labels":[],"label_agreement":null},{"id":"W2774842050","doi":"10.1016/j.jcct.2017.11.014","title":"Coronary artery disease reporting and data system (CAD-RADS TM ): Inter-observer agreement for assessment categories and modifiers","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Radiology practices and education","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronary artery disease; Kappa; Radiology; CAD; Likert scale; Canadian Cardiovascular Society; Angiography; Internal medicine; Angina","score_opus":0.08655404962826804,"score_gpt":0.3478742220849197,"score_spread":0.2613201724566516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774842050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9397874,0.020077113,0.036476243,0.0016798931,0.001393225,0.00048442988,0.000016053264,0.000015482732,0.00007015052],"genre_scores_gemma":[0.9924144,0.00067004253,0.0061898245,0.000050625655,0.00060387887,0.000008237401,0.000040279836,0.000014860899,0.000007830579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832094,0.00013780878,0.0007098367,0.0003161311,0.00033102464,0.00018425207],"domain_scores_gemma":[0.9966518,0.000078688754,0.0015503844,0.001128447,0.0003071147,0.00028352567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029380731,0.00015974975,0.0006690603,0.0001883306,0.00038581653,0.0001755933,0.00024060231,0.00006662178,7.948133e-7],"category_scores_gemma":[0.00027133347,0.00012852263,0.0005074957,0.00005526333,0.00014369554,0.00060750166,0.00016718407,0.00026785408,1.1299127e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001212588,0.0003257233,0.8297773,0.0024996384,0.031439036,0.003081137,0.0005020673,0.0006621237,0.00008519838,0.00031941498,0.0043574595,0.12573834],"study_design_scores_gemma":[0.0027653782,0.00036695326,0.9649658,0.00051812205,0.004356294,0.004895981,0.0008493553,0.009910038,0.0000066526572,0.00007962587,0.011122936,0.00016281933],"about_ca_topic_score_codex":0.00002027452,"about_ca_topic_score_gemma":9.857927e-7,"teacher_disagreement_score":0.13518856,"about_ca_system_score_codex":0.00004918426,"about_ca_system_score_gemma":0.0001596621,"threshold_uncertainty_score":0.52410007},"labels":[],"label_agreement":null},{"id":"W2789777735","doi":"10.1016/j.jcct.2018.02.002","title":"Aortic valve and left ventricular outflow tract calcium volume and distribution in transcatheter aortic valve replacement: Influence on the risk of significant paravalvular regurgitation","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"","keywords":"Medicine; Regurgitation (circulation); Ventricular outflow tract; Cardiology; Internal medicine; Aortic valve; Aortic valve replacement; Valve replacement; Outflow; Stenosis","score_opus":0.008734972701369971,"score_gpt":0.2560261303048159,"score_spread":0.24729115760344594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789777735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832808,0.010069685,0.0057812887,0.00009189955,0.00012901556,0.00057503994,0.000051088453,0.000010431625,0.000010759358],"genre_scores_gemma":[0.9988833,0.00079473824,0.00012581122,0.000038741528,0.0001078908,0.0000062654467,0.000023232107,0.000018881125,0.0000011596886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759275,0.00039357448,0.00066289195,0.0002984731,0.0007827382,0.00026957033],"domain_scores_gemma":[0.99838036,0.00013429747,0.00039276294,0.00044754383,0.0004511132,0.00019391504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011656141,0.00024179001,0.00074675,0.0003162617,0.00010595539,0.0000419023,0.00008630932,0.00009433352,0.000005029665],"category_scores_gemma":[0.00013946311,0.00016630755,0.0050409543,0.0004671108,0.00022718572,0.0001328591,0.00002201657,0.0002723883,0.000001278319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064573286,0.0005466899,0.9701308,0.00013307763,0.019542212,0.000048132744,0.0004801926,0.0018189285,0.00009289374,0.000021482325,0.000052103867,0.006487759],"study_design_scores_gemma":[0.0034420704,0.0013031944,0.9832887,0.00040151668,0.008969415,0.00015899795,0.00010932339,0.00130866,0.00044001435,0.00016451001,0.0002640155,0.00014957487],"about_ca_topic_score_codex":0.000058547743,"about_ca_topic_score_gemma":3.7119446e-7,"teacher_disagreement_score":0.015602488,"about_ca_system_score_codex":0.00006263409,"about_ca_system_score_gemma":0.0000576042,"threshold_uncertainty_score":0.6781825},"labels":[],"label_agreement":null},{"id":"W2790846634","doi":"10.1016/j.jcct.2018.03.006","title":"Development of a congenital cardiovascular computed tomography imaging registry: Rationale and implementation","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Prospective cohort study; Specialty; Medical physics; Image quality; Quality assurance; Cardiac imaging; Radiology; Medical imaging; Tomography; Modalities; Artificial intelligence; Surgery; Computer science","score_opus":0.011969546919130516,"score_gpt":0.25042739637703476,"score_spread":0.23845784945790424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790846634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7987431,0.044671144,0.1546409,0.00018022343,0.0006281963,0.00069607305,0.000015064163,0.00005678904,0.00036848383],"genre_scores_gemma":[0.95101935,0.00017356538,0.047875896,0.00012368328,0.0007192079,0.0000067220553,0.00004555751,0.000033305485,0.0000026920986],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968479,0.00016815252,0.0010728326,0.00033295123,0.0012765203,0.0003016357],"domain_scores_gemma":[0.99743503,0.000048695503,0.0004986737,0.00049635646,0.0012702789,0.00025098803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013623476,0.00027681058,0.0010099655,0.001227254,0.00019552038,0.00008183659,0.0001881871,0.00007139549,0.000019966521],"category_scores_gemma":[0.000031906337,0.00026093237,0.0021308218,0.0011925172,0.0002548103,0.00038288234,0.00007477137,0.00024606512,0.0000018390709],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005823187,0.00048393343,0.12155197,0.00063819846,0.1005248,0.00051263225,0.00553113,0.0012842428,0.0067030196,0.0002450962,0.0045447857,0.7573979],"study_design_scores_gemma":[0.0227665,0.00071759865,0.5508448,0.00080495776,0.008384377,0.0055660135,0.00250785,0.0053627766,0.04123174,0.00016723697,0.3606064,0.0010397362],"about_ca_topic_score_codex":0.000019518473,"about_ca_topic_score_gemma":0.0000024609812,"teacher_disagreement_score":0.75635815,"about_ca_system_score_codex":0.00005600978,"about_ca_system_score_gemma":0.00031179434,"threshold_uncertainty_score":0.99998426},"labels":[],"label_agreement":null},{"id":"W2795107827","doi":"10.1016/j.jcct.2018.03.008","title":"CAC-DRS: Coronary Artery Calcium Data and Reporting System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT)","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":262,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Standardization; Coronary artery calcium; Radiology; Medical physics; Computed tomography","score_opus":0.03755579142720011,"score_gpt":0.28489928358222055,"score_spread":0.24734349215502044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795107827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7782318,0.16892213,0.04814203,0.0002589375,0.0028439702,0.0011118321,0.00012326315,0.00011909748,0.00024693354],"genre_scores_gemma":[0.9823556,0.000520457,0.015484972,0.00015761056,0.0013718185,0.0000044718086,0.000039560295,0.00006385064,0.0000016491493],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.993267,0.00074944063,0.0026418346,0.0006846837,0.0021596435,0.0004974254],"domain_scores_gemma":[0.99164724,0.00029658692,0.002155636,0.0032926656,0.0021981257,0.00040974576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004885153,0.00048789053,0.002783264,0.00052886247,0.00023251743,0.000071714756,0.0006694864,0.00024058556,0.0000025161685],"category_scores_gemma":[0.00026653387,0.0003648704,0.008322822,0.0013692537,0.0010619615,0.00021926158,0.00053769373,0.0005981545,4.2164336e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018266735,0.0022566633,0.38725463,0.0071379407,0.4313449,0.0055031176,0.0075623402,0.018472739,0.005043925,0.0001549162,0.048831034,0.0846111],"study_design_scores_gemma":[0.032246426,0.004165202,0.65299076,0.014436756,0.059550114,0.083632655,0.009856567,0.028242718,0.02074147,0.00013909188,0.091504194,0.002494056],"about_ca_topic_score_codex":0.00026097268,"about_ca_topic_score_gemma":0.000001632026,"teacher_disagreement_score":0.3717948,"about_ca_system_score_codex":0.00007728595,"about_ca_system_score_gemma":0.00037059185,"threshold_uncertainty_score":0.9998803},"labels":[],"label_agreement":null},{"id":"W2799913286","doi":"10.1016/j.jcct.2018.04.011","title":"Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":169,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Risk stratification; Maximization; Coronary angiography; Stratification (seeds); Cardiology; Internal medicine; Radiology; Artificial intelligence; Machine learning; Computer science; Mathematical optimization; Myocardial infarction","score_opus":0.008003719147528413,"score_gpt":0.21360489157911902,"score_spread":0.2056011724315906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799913286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39878362,0.0032266895,0.5968857,0.00012843095,0.0004756552,0.00036562525,0.000068827765,0.000013526197,0.00005194578],"genre_scores_gemma":[0.9697012,0.0000879475,0.029695664,0.00015609132,0.00030203428,0.000001852057,0.00004094036,0.000013630626,6.48488e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9979849,0.00036451043,0.00067899365,0.0001198595,0.00073576934,0.000116002106],"domain_scores_gemma":[0.99684036,0.0002872358,0.0008900738,0.00056865223,0.0013246826,0.00008898445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005865437,0.0001510098,0.00050396175,0.00024282075,0.00015583418,0.000039826497,0.0002112841,0.00008551629,0.000003877969],"category_scores_gemma":[0.00038821803,0.00009755308,0.0010550027,0.0007262978,0.00019400407,0.00016841842,0.000051637027,0.00037560222,5.681774e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016567723,0.0005865055,0.2544723,0.00038292748,0.020282228,0.00007729647,0.0063830893,0.39397424,0.024037024,0.00007431683,0.00094933534,0.297124],"study_design_scores_gemma":[0.0064163087,0.00069168676,0.5903626,0.0010124609,0.004630516,0.00025391165,0.00053129706,0.33985087,0.048505913,0.00014658296,0.007312549,0.0002852562],"about_ca_topic_score_codex":0.00039356572,"about_ca_topic_score_gemma":0.0000042819015,"teacher_disagreement_score":0.57091755,"about_ca_system_score_codex":0.00003609964,"about_ca_system_score_gemma":0.00022921679,"threshold_uncertainty_score":0.39780992},"labels":[],"label_agreement":null},{"id":"W2800690910","doi":"10.1016/j.jcct.2018.04.008","title":"CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Fractional flow reserve; Medicine; Cardiology; Hemodynamics; Angina; Internal medicine; Radiology; Coronary angiography; Myocardial infarction","score_opus":0.009316787142443675,"score_gpt":0.24558089322987778,"score_spread":0.2362641060874341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800690910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92299503,0.00260074,0.073235445,0.00007377328,0.0004834724,0.00031077093,0.00016167831,0.000030284367,0.00010883025],"genre_scores_gemma":[0.9943452,0.000039575392,0.0051003,0.00003417402,0.0003188133,0.000006596765,0.00011966756,0.000031829648,0.0000038602057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974042,0.0001883944,0.00058136997,0.00027750595,0.0012758792,0.0002726241],"domain_scores_gemma":[0.99722236,0.0002340618,0.00036854696,0.00043013325,0.0015592157,0.00018568666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052142964,0.00023345146,0.0008663894,0.00089436333,0.000085933636,0.000039040922,0.00011971362,0.000079707395,0.000008515582],"category_scores_gemma":[0.0001783786,0.00019552124,0.001143486,0.0013910878,0.00017385447,0.00026256056,0.00002345382,0.00041517772,9.25096e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026062548,0.002278763,0.8663395,0.00031496424,0.011013898,0.0002882359,0.000097335374,0.09962855,0.0057592327,0.000007583141,0.008996107,0.0026695747],"study_design_scores_gemma":[0.009620633,0.0018204838,0.9622392,0.0006150636,0.001814846,0.00011367028,0.000061518,0.014800005,0.0073421407,0.00002123666,0.0013286754,0.00022249554],"about_ca_topic_score_codex":0.00028481794,"about_ca_topic_score_gemma":0.0000028876998,"teacher_disagreement_score":0.09589974,"about_ca_system_score_codex":0.00012796641,"about_ca_system_score_gemma":0.00041514734,"threshold_uncertainty_score":0.79731244},"labels":[],"label_agreement":null},{"id":"W2802677097","doi":"10.1016/j.jcct.2018.04.013","title":"Prevalence and impact of scan-related anxiety during coronary CT angiography: A prospective cohort study of 366 patients","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Anxiety; Logistic regression; Prospective cohort study; Internal medicine; Heart rate; Radiology; Cohort; Computed tomography angiography; Cardiology; Distress; Angiography; Blood pressure; Psychiatry","score_opus":0.0041224690918164955,"score_gpt":0.22917996212017194,"score_spread":0.22505749302835545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802677097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982509,0.015949316,0.00012668896,0.0000026362598,0.00027351725,0.0009615345,0.000027518146,0.00002319448,0.00012658765],"genre_scores_gemma":[0.99908566,0.00038140587,0.00035616313,0.000003763308,0.0001350631,0.0000045333913,0.0000041314706,0.000028040418,0.000001210736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974325,0.00020929525,0.0007732768,0.0002958652,0.001044242,0.00024484572],"domain_scores_gemma":[0.9968421,0.00007945675,0.00053625536,0.00052073586,0.001804878,0.00021656754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072281377,0.0002563503,0.0012581708,0.00096320343,0.000074606265,0.000016027217,0.00013584604,0.00005955703,0.0000056709277],"category_scores_gemma":[0.00010602766,0.00020786577,0.0036291466,0.0013235996,0.0003247626,0.00015026722,0.00008752902,0.00029602356,3.1401683e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046713525,0.001047193,0.96753496,0.00017994443,0.028242161,0.0001118651,0.0004812199,0.00058042887,0.00004911484,6.8396895e-7,0.000080756836,0.0012245164],"study_design_scores_gemma":[0.008820078,0.0037808602,0.9791747,0.00055495184,0.0061670337,0.0008675315,0.00008769737,0.00006428414,0.00028843293,0.000016500186,0.000010230776,0.00016770817],"about_ca_topic_score_codex":0.0001135532,"about_ca_topic_score_gemma":6.456173e-7,"teacher_disagreement_score":0.022075128,"about_ca_system_score_codex":0.00005821529,"about_ca_system_score_gemma":0.000099515695,"threshold_uncertainty_score":0.847652},"labels":[],"label_agreement":null},{"id":"W2802893531","doi":"10.1016/j.jcct.2018.04.007","title":"Computed tomography predictors of mortality, stroke and conduction disturbances in women undergoing TAVR: A sub-analysis of the WIN-TAVI registry","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre","funders":"Abbott Vascular; St. Jude Medical; Cardiovascular Systems; OrbusNeich; Boston Scientific Corporation; Bristol-Myers Squibb; Edwards Lifesciences; Biotronik; Bayer; AstraZeneca; Medtronic","keywords":"Medicine; Cardiology; Internal medicine; Agatston score; Aortic valve; Ventricular outflow tract; Atrial fibrillation; Radiology; Stroke (engine); Calcification; Coronary artery disease; Coronary artery calcium","score_opus":0.010664246190677861,"score_gpt":0.2635740943420892,"score_spread":0.2529098481514114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802893531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820434,0.016079858,0.00082662795,0.000029089531,0.00051283964,0.00030161656,0.00007887071,0.000013571783,0.00011413658],"genre_scores_gemma":[0.9991489,0.00036461075,0.00018457227,0.0000276688,0.0002357518,0.000004286864,0.000013506453,0.000017759738,0.0000029411997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971609,0.00028919254,0.00089461275,0.00029856738,0.0010882815,0.00026845562],"domain_scores_gemma":[0.99760664,0.00010066765,0.0007521088,0.00068889715,0.00064676336,0.00020490726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007187034,0.00025262818,0.0015665549,0.0013394351,0.000073744515,0.000027878596,0.00020023999,0.000114094284,0.000005522955],"category_scores_gemma":[0.000050388484,0.00018196226,0.0071334606,0.003253445,0.0005104836,0.0001399008,0.000093011804,0.00023908218,1.1120837e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002685303,0.00030633135,0.88060457,0.00017400684,0.115344435,0.000030277984,0.0002963432,0.0016743139,0.0001688681,0.000014043409,0.00011175874,0.001006534],"study_design_scores_gemma":[0.003434118,0.00045150402,0.97029126,0.00038341145,0.02368951,0.00005649785,0.00034275858,0.00025908533,0.0006785705,0.00005808505,0.00022246828,0.00013274336],"about_ca_topic_score_codex":0.000105350045,"about_ca_topic_score_gemma":0.000016675116,"teacher_disagreement_score":0.09165493,"about_ca_system_score_codex":0.00007497987,"about_ca_system_score_gemma":0.00013964703,"threshold_uncertainty_score":0.74202055},"labels":[],"label_agreement":null},{"id":"W2803833837","doi":"10.1016/j.jcct.2018.05.011","title":"Impact of Non-obstructive left main disease on the progression of coronary artery disease: A PARADIGM substudy","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"GE Healthcare; Biotronik; Ministry of Science, ICT and Future Planning; National Research Foundation of Korea; Medtronic; Dalio Foundation; National Institutes of Health; Boston Scientific Corporation; National Research Foundation; Edwards Lifesciences; Bracco Group","keywords":"Medicine; Cardiology; Left main coronary artery disease; Internal medicine; Coronary artery disease; Artery; Bypass grafting","score_opus":0.012082672501526403,"score_gpt":0.2797723243412426,"score_spread":0.2676896518397162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803833837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98694366,0.0073017273,0.0045648827,0.00013308019,0.0003328111,0.0005799192,0.00007337798,0.000010459436,0.000060076312],"genre_scores_gemma":[0.9989966,0.00018321973,0.0004273874,0.000026948417,0.0003220284,0.0000050328217,0.000012205935,0.000023161481,0.0000033755089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769586,0.00024934602,0.00069113396,0.00019779612,0.0009464891,0.00021938955],"domain_scores_gemma":[0.9975566,0.00022632217,0.00046296403,0.0007340695,0.00064430514,0.0003757044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055672537,0.000230867,0.00074772636,0.00048728715,0.00008508564,0.000017157425,0.00023852276,0.00004590301,0.000058479553],"category_scores_gemma":[0.00012337953,0.00013896365,0.004677623,0.00050825626,0.00037340607,0.00010609254,0.00006417448,0.0002629951,0.0000019204997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008807848,0.0041557895,0.9264448,0.0003286453,0.027448079,0.00346279,0.000516645,0.0024680148,0.00015206616,0.00022262821,0.0029595832,0.023033071],"study_design_scores_gemma":[0.00269572,0.0039751376,0.9871272,0.0015915534,0.0024420177,0.0006159423,0.00005874709,0.0006489595,0.00010760767,0.00035084604,0.00026083467,0.00012547126],"about_ca_topic_score_codex":0.000007091912,"about_ca_topic_score_gemma":8.298884e-7,"teacher_disagreement_score":0.060682323,"about_ca_system_score_codex":0.00004359382,"about_ca_system_score_gemma":0.00024566203,"threshold_uncertainty_score":0.5666773},"labels":[],"label_agreement":null},{"id":"W2887152813","doi":"10.1016/j.jcct.2018.08.002","title":"Hypertrophic Cardiomyopathy (HCM): New insights into Coronary artery remodelling and ischemia from FFRCT","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; University of Northern British Columbia; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Hypertrophic cardiomyopathy; Fractional flow reserve; Artery; Coronary artery disease; Circumflex; Right coronary artery; Myocardial infarction; Coronary angiography","score_opus":0.012389716532791705,"score_gpt":0.2154563009075107,"score_spread":0.203066584374719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887152813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71694154,0.22718093,0.053893954,0.00014498123,0.0010845807,0.00021014424,0.000002778333,0.00005441883,0.00048668668],"genre_scores_gemma":[0.9707754,0.005987897,0.017575135,0.00028646074,0.0052974313,0.00000248114,0.000009432503,0.000053032018,0.000012692105],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971772,0.00018665026,0.000757735,0.00048533134,0.0010362541,0.0003568423],"domain_scores_gemma":[0.997576,0.00010894731,0.00025724855,0.0007330802,0.00082757487,0.0004971541],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005572288,0.00041696138,0.0017300388,0.0007174082,0.00023704789,0.00007168472,0.0002061742,0.00021841377,0.000006943494],"category_scores_gemma":[0.00004933108,0.00034482605,0.0028784282,0.0007890899,0.00034725468,0.00027361012,0.00017394865,0.0005783668,0.000007527045],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006719711,0.0006722102,0.07038027,0.0007609082,0.16648658,0.021421744,0.01461289,0.0033207624,0.05076586,0.0001787731,0.030742027,0.63393825],"study_design_scores_gemma":[0.039672747,0.0061865672,0.24671905,0.00491252,0.035585903,0.04207475,0.0014733371,0.0043246043,0.02406401,0.00968765,0.5823308,0.0029680391],"about_ca_topic_score_codex":0.00007137235,"about_ca_topic_score_gemma":0.000002393016,"teacher_disagreement_score":0.63097024,"about_ca_system_score_codex":0.00006366045,"about_ca_system_score_gemma":0.00019552777,"threshold_uncertainty_score":0.9999004},"labels":[],"label_agreement":null},{"id":"W2898199066","doi":"10.1016/j.jcct.2018.10.019","title":"Coronary computed tomographic imaging in women: An expert consensus statement from the Society of Cardiovascular Computed Tomography","year":2018,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care","funders":"","keywords":"Medicine; Computed tomographic; Computed tomography; Computed tomographic angiography; Radiology; Statement (logic); Computed tomography laser mammography; Tomography; Tomographic reconstruction; Medical physics; Preclinical imaging; Angiography; Law","score_opus":0.026133537857579284,"score_gpt":0.2829985851543317,"score_spread":0.2568650472967524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898199066","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031807104,0.9805239,0.010741554,0.0001372531,0.002694722,0.0021698736,0.00034320948,0.00016743137,0.00004133976],"genre_scores_gemma":[0.008048592,0.9747147,0.013001082,0.00057537586,0.0028258183,0.00008211874,0.00044570587,0.00030534496,0.0000012881852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98593265,0.0030686695,0.0044270763,0.0014917322,0.0036616968,0.0014181609],"domain_scores_gemma":[0.98922443,0.0016078332,0.0022279671,0.003627304,0.0023932664,0.00091918866],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006147967,0.0017669989,0.010252969,0.0025703176,0.00030199083,0.00023743587,0.0015177213,0.0006914484,0.000017920887],"category_scores_gemma":[0.00013826926,0.0013474671,0.038021952,0.0054620714,0.0013866768,0.00026175097,0.0005319546,0.0023999831,0.0000048019633],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004500893,0.0016976417,0.006185243,0.006396037,0.19411504,0.0031781856,0.0020149474,0.004311294,0.0000028802438,0.000009390106,0.02754821,0.754091],"study_design_scores_gemma":[0.008798833,0.00078342616,0.008922277,0.02645905,0.02435858,0.0031716605,0.0007924633,0.0009700317,0.000009939405,0.00008043248,0.92420435,0.0014489332],"about_ca_topic_score_codex":0.000445887,"about_ca_topic_score_gemma":0.0000031737286,"teacher_disagreement_score":0.89665616,"about_ca_system_score_codex":0.00047960068,"about_ca_system_score_gemma":0.0012340266,"threshold_uncertainty_score":0.99990153},"labels":[],"label_agreement":null},{"id":"W2902054611","doi":"10.1016/j.jcct.2018.01.008","title":"Incidence and predictors of lesion-specific ischemia by FFRCT: Learnings from the international ADVANCE registry","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Incidence (geometry); Lesion; Demography; Internal medicine; Family medicine; Pathology","score_opus":0.006996119737984873,"score_gpt":0.22438727670295522,"score_spread":0.21739115696497036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902054611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8671444,0.10417103,0.02629089,0.00059498,0.0012132437,0.00010757628,0.000027419608,0.000021290954,0.0004291365],"genre_scores_gemma":[0.9912505,0.00284712,0.004057289,0.0001896215,0.0016130764,0.0000010334586,0.0000128612955,0.000017522625,0.000010959914],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827576,0.00007529274,0.00042412643,0.00019337982,0.0008952556,0.00013618369],"domain_scores_gemma":[0.99799997,0.00033690975,0.00033995527,0.00042127827,0.00077458937,0.00012731049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006349081,0.00014341086,0.0004997141,0.00014326557,0.000070242495,0.000042258896,0.00025896862,0.00007504334,0.000010261049],"category_scores_gemma":[0.00032020253,0.00010391662,0.0009321795,0.00032671326,0.00039362992,0.00012499711,0.00009652926,0.0003961167,0.0000014422254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045770986,0.00013973635,0.7380972,0.000051498366,0.0082810065,0.00021164346,0.00071876607,0.00039615107,0.0071238615,0.000034362587,0.19628863,0.04819943],"study_design_scores_gemma":[0.0033320286,0.0003094876,0.39529198,0.0010007248,0.0011246011,0.0010146331,0.00024130451,0.00016525065,0.012794498,0.00013329429,0.58439213,0.0002000852],"about_ca_topic_score_codex":0.000027146403,"about_ca_topic_score_gemma":3.7890703e-7,"teacher_disagreement_score":0.3881035,"about_ca_system_score_codex":0.000025212448,"about_ca_system_score_gemma":0.00006689937,"threshold_uncertainty_score":0.4237597},"labels":[],"label_agreement":null},{"id":"W2905730820","doi":"10.1016/j.jcct.2018.12.002","title":"Longitudinal assessment of coronary plaque volume change related to glycemic status using serial coronary computed tomography angiography: A PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) substudy","year":2018,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Medicine; Glycemic; Confidence interval; Computed tomographic angiography; Odds ratio; Diabetes mellitus; Internal medicine; Computed tomography angiography; Cardiology; Angiography; Radiology; Endocrinology","score_opus":0.01847105170138144,"score_gpt":0.2815902365793363,"score_spread":0.2631191848779548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905730820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9173885,0.044963602,0.032165177,0.00014799421,0.0023588624,0.0023844624,0.00035481987,0.00019766028,0.000038947805],"genre_scores_gemma":[0.9740406,0.0004237041,0.024310559,0.00016944448,0.0005534211,0.000037439015,0.00027473932,0.00018925147,8.072819e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9910218,0.0009293871,0.0028211994,0.001179547,0.0026379088,0.0014101688],"domain_scores_gemma":[0.9923934,0.00037275456,0.0019251779,0.0016136338,0.0024853584,0.001209684],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0013982077,0.0011898826,0.0036831207,0.006356025,0.00034165473,0.00012253202,0.00078042026,0.00045237245,0.000033902194],"category_scores_gemma":[0.000049482023,0.0011541642,0.011288385,0.009134179,0.0013133952,0.00055319385,0.00036853744,0.001007578,0.000002885757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031175446,0.0017662162,0.96136844,0.00037574247,0.0215742,0.0008131354,0.00059040607,0.0020361182,0.0021839866,0.0000141228165,0.0015953268,0.0045647467],"study_design_scores_gemma":[0.0145681845,0.005771308,0.9549344,0.0028826736,0.008154324,0.0027377312,0.00014987675,0.0082162805,0.0006271735,0.0000771005,0.00084919407,0.0010317443],"about_ca_topic_score_codex":0.0004036035,"about_ca_topic_score_gemma":0.000006762734,"teacher_disagreement_score":0.056652162,"about_ca_system_score_codex":0.00016173649,"about_ca_system_score_gemma":0.00038739023,"threshold_uncertainty_score":0.99909085},"labels":[],"label_agreement":null},{"id":"W2907056887","doi":"10.1016/j.jcct.2019.01.002","title":"Reply to letter to the editor regarding “Prevalence and impact of scan-related anxiety during Coronary CT angiography: A prospective cohort study of 366 patients”","year":2019,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Prospective cohort study; Anxiety; Coronary angiography; Cohort; Radiology; Cohort study; Computed tomography; Internal medicine; Psychiatry; Myocardial infarction","score_opus":0.0042985364522231,"score_gpt":0.21766109563795635,"score_spread":0.21336255918573324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907056887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98189723,0.006557764,0.00016206488,0.0055501643,0.0021425814,0.0035593144,0.000057184076,0.000025584959,0.000048129466],"genre_scores_gemma":[0.9809403,0.00020331352,0.0002303849,0.011797626,0.006678102,0.000026094514,0.000020646357,0.00008848709,0.0000150859305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995082,0.00048751582,0.001303947,0.00061808585,0.0020936776,0.00041474577],"domain_scores_gemma":[0.9960737,0.00013787369,0.0010403527,0.0012097612,0.0013522359,0.0001860551],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013096441,0.00050361047,0.0020948746,0.0022016692,0.00010784096,0.000057290974,0.00045340168,0.00017687975,0.000007958242],"category_scores_gemma":[0.000113399896,0.00035098614,0.0051549836,0.0020251677,0.000097682845,0.00025102464,0.00017697513,0.0015581506,0.0000014445932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024062082,0.00014992652,0.7059079,0.00027673197,0.028643994,0.00018004353,0.00051728066,0.003030644,0.00001836262,3.087328e-8,0.26046115,0.0005733406],"study_design_scores_gemma":[0.0042635985,0.002034334,0.9533888,0.0012906574,0.005450301,0.0004823441,0.000050574283,0.000037547823,0.00005558149,0.0000016066907,0.032625027,0.00031960927],"about_ca_topic_score_codex":0.00013725806,"about_ca_topic_score_gemma":3.7535094e-7,"teacher_disagreement_score":0.24748096,"about_ca_system_score_codex":0.00016476768,"about_ca_system_score_gemma":0.00013214406,"threshold_uncertainty_score":0.9998942},"labels":[],"label_agreement":null},{"id":"W2909449978","doi":"10.1016/j.jcct.2018.11.008","title":"Computed tomography imaging in the context of transcatheter aortic valve implantation (TAVI) / transcatheter aortic valve replacement (TAVR): An expert consensus document of the Society of Cardiovascular Computed Tomography","year":2019,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":535,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Context (archaeology); Valve replacement; Radiology; Computed tomography; Aortic root; Aortic valve; Cardiology; Aorta; Stenosis","score_opus":0.021899233890648757,"score_gpt":0.30641195300890933,"score_spread":0.2845127191182606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909449978","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032846782,0.9569388,0.0036122936,0.00005018391,0.0011942084,0.0049245656,0.00035882223,0.00004344607,0.000030910138],"genre_scores_gemma":[0.5844859,0.4132059,0.0012432415,0.00017187341,0.0003133999,0.0001046363,0.00029315063,0.0001809776,9.358361e-7],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9868554,0.0029720622,0.004379342,0.0011602922,0.0037189887,0.00091394613],"domain_scores_gemma":[0.99138075,0.0005909688,0.002842807,0.00327391,0.0015116023,0.00039996425],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003202647,0.0014957379,0.008254094,0.0019357506,0.00017275225,0.000096679076,0.0012939811,0.0005130912,0.000011626725],"category_scores_gemma":[0.000021579526,0.00096895994,0.16555186,0.003550665,0.0007125293,0.00022806412,0.00014281234,0.0011943004,0.0000012469933],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083013164,0.0036340272,0.013340864,0.021122199,0.50038654,0.000055811503,0.005274978,0.0028409932,0.000028499564,0.000030216888,0.00039134792,0.4520644],"study_design_scores_gemma":[0.05325544,0.0058969753,0.12942664,0.075440615,0.61602694,0.0052686282,0.0052059167,0.0014559709,0.00055060285,0.00022147139,0.10288027,0.0043705055],"about_ca_topic_score_codex":0.00030527008,"about_ca_topic_score_gemma":0.0000021990302,"teacher_disagreement_score":0.5516391,"about_ca_system_score_codex":0.00021775186,"about_ca_system_score_gemma":0.0005738185,"threshold_uncertainty_score":0.99977916},"labels":[],"label_agreement":null},{"id":"W2912606620","doi":"10.1016/j.jcct.2018.12.016","title":"Tricuspid Annular Plane Systolic Excursion for the Evaluation of Right Ventricular Function in Functional Cardiac CT Compared to MRI","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; Kingston General Hospital","funders":"","keywords":"Medicine; Excursion; Ejection fraction; Cardiology; Internal medicine; Ventricular function; Gold standard (test); Heart failure","score_opus":0.016227422508228433,"score_gpt":0.2502081591728016,"score_spread":0.23398073666457317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912606620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82790434,0.075092554,0.0892032,0.00036311327,0.0045937006,0.002611973,0.00003677791,0.000027081587,0.0001672566],"genre_scores_gemma":[0.9982745,0.00013515937,0.000633999,0.00008037081,0.0007499206,0.000032855194,0.00006327529,0.000025443123,0.0000044659123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963558,0.00039786677,0.000734232,0.00026513494,0.0019840733,0.0002629266],"domain_scores_gemma":[0.9967066,0.0004656498,0.0003270005,0.00055973686,0.0017857654,0.00015522775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004200037,0.00021718872,0.0011046537,0.0010992092,0.00006801918,0.000029868894,0.00014229053,0.00007328971,0.00001634605],"category_scores_gemma":[0.00021993899,0.00015671915,0.0028722575,0.0013878992,0.000039735598,0.00011073504,0.00003354054,0.0002934948,0.000006871709],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015735758,0.0004453288,0.15119585,0.0003619983,0.01169118,0.00014790791,0.00010779913,0.8033049,0.00034608194,0.00008338865,0.014761953,0.015979996],"study_design_scores_gemma":[0.013934407,0.0007894913,0.8693479,0.00081834395,0.011104338,0.00083827775,0.00020629038,0.015586592,0.0013786043,0.00012639251,0.08556628,0.00030313124],"about_ca_topic_score_codex":0.00003170208,"about_ca_topic_score_gemma":5.507747e-7,"teacher_disagreement_score":0.78771836,"about_ca_system_score_codex":0.00015761946,"about_ca_system_score_gemma":0.00021132757,"threshold_uncertainty_score":0.63908213},"labels":[],"label_agreement":null},{"id":"W2913083379","doi":"10.1016/j.jcct.2019.01.015","title":"A cross-sectional survey of coronary plaque composition in individuals on non-statin lipid lowering drug therapies and undergoing coronary computed tomography angiography","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"","keywords":"Medicine; Coronary artery disease; Internal medicine; Statin; Cardiology; SSS*; Propensity score matching; Intravascular ultrasound; Concomitant; Computed tomography angiography; Angiography","score_opus":0.010699104046459684,"score_gpt":0.24568383605412236,"score_spread":0.23498473200766268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913083379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759244,0.018722864,0.0034547367,0.000041958716,0.0009796562,0.00058470346,0.00009309958,0.000039531988,0.00015908341],"genre_scores_gemma":[0.99631864,0.00049551314,0.0026573434,0.00013796633,0.00018998816,0.000005543114,0.0001372179,0.00005577716,0.0000020223733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99628043,0.00047747494,0.0011383403,0.00047430495,0.0012226194,0.00040681884],"domain_scores_gemma":[0.9965728,0.0013435183,0.0005579,0.00049884117,0.0007893078,0.00023765033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021000358,0.00042409243,0.0014832013,0.0027979135,0.00010510505,0.0001087946,0.00021975771,0.00018600107,0.000014450855],"category_scores_gemma":[0.000045651763,0.00040854022,0.0027822244,0.0020200808,0.00027649262,0.00027549142,0.000104281346,0.0007105867,0.000003083133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007179995,0.0004537523,0.9653155,0.00028037396,0.0073412973,0.00016991174,0.00030654197,0.023826204,0.0001603383,0.000011141486,0.00021221755,0.0012046762],"study_design_scores_gemma":[0.00867492,0.0008284759,0.9865447,0.0012049001,0.00040846845,0.0010069767,0.00007803037,0.00044017794,0.0002983529,0.000046235797,0.0001141788,0.00035452624],"about_ca_topic_score_codex":0.00013334508,"about_ca_topic_score_gemma":0.0000069475072,"teacher_disagreement_score":0.023386026,"about_ca_system_score_codex":0.00006118108,"about_ca_system_score_gemma":0.00016584413,"threshold_uncertainty_score":0.9998366},"labels":[],"label_agreement":null},{"id":"W2914688007","doi":"10.1016/j.jcct.2019.01.020","title":"Quantified dual energy computed tomography perfusion imaging using myocardial iodine concentration: Validation using CT derived myocardial blood flow and invasive fractional flow reserve in a porcine model","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"Bracco Diagnostics","keywords":"Medicine; Fractional flow reserve; Perfusion; Myocardial perfusion imaging; Blood flow; Iodine; Coronary artery disease; Nuclear medicine; Internal medicine; Perfusion scanning; Cardiology; Artery; Stenosis; Coronary circulation; Myocardial infarction","score_opus":0.017461038870983075,"score_gpt":0.24027589210492115,"score_spread":0.22281485323393807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914688007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.842759,0.012552451,0.14242226,0.00014166567,0.001487653,0.0004700289,0.00004329063,0.000055432043,0.00006822151],"genre_scores_gemma":[0.9647817,0.00047584996,0.0329101,0.00022955931,0.0013532126,0.000003975454,0.00017354355,0.00007097697,0.0000010947385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953329,0.0005756246,0.00122305,0.00066894316,0.0016282467,0.00057126576],"domain_scores_gemma":[0.9967115,0.00036681342,0.00056385563,0.00058898004,0.0013802336,0.00038861248],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013800432,0.0005398839,0.0017638397,0.0015978909,0.00022145359,0.00021656138,0.00015601807,0.00016999166,0.000009012547],"category_scores_gemma":[0.0001896204,0.00054616726,0.0026426145,0.0016394602,0.0001845079,0.00065282895,0.00015385236,0.0007296616,8.744276e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006978557,0.0002851152,0.15202452,0.00012010971,0.0044312607,0.0012251202,0.0002368252,0.8227301,0.016105222,0.00002715932,0.00015379529,0.001962898],"study_design_scores_gemma":[0.017034521,0.0002664137,0.04560452,0.0011151021,0.004135374,0.0068031675,0.00016403642,0.9172728,0.006659464,0.00011780387,0.00021258305,0.0006141875],"about_ca_topic_score_codex":0.0002301952,"about_ca_topic_score_gemma":0.0000035780743,"teacher_disagreement_score":0.122022696,"about_ca_system_score_codex":0.00014921308,"about_ca_system_score_gemma":0.0006177845,"threshold_uncertainty_score":0.999699},"labels":[],"label_agreement":null},{"id":"W2920695315","doi":"10.1016/j.jcct.2019.11.015","title":"Coronary atherosclerosis scoring with semiquantitative CCTA risk scores for prediction of major adverse cardiac events: Propensity score-based analysis of diabetic and non-diabetic patients","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"GE Healthcare; Leids Universitair Medisch Centrum; Biotronik; Medtronic; Dalio Foundation; National Institutes of Health; Michael Wolk Heart Foundation; Boston Scientific Corporation; Edwards Lifesciences","keywords":"Medicine; Coronary artery disease; Internal medicine; Stenosis; Diabetes mellitus; Cardiology; Myocardial infarction; Propensity score matching; Confounding; Framingham Risk Score; Proportional hazards model; Disease","score_opus":0.010845531110262643,"score_gpt":0.20626501447613158,"score_spread":0.19541948336586892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920695315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790416,0.0026684802,0.016405059,0.000007634081,0.00033992017,0.0011130971,0.00039454768,0.000014444557,0.000015232415],"genre_scores_gemma":[0.9950232,0.00022045063,0.0045598866,0.000015119976,0.00006113886,0.000012560077,0.0000748824,0.000031683856,0.0000010628623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975607,0.0002369284,0.00071529596,0.00032308165,0.00091614615,0.00024789173],"domain_scores_gemma":[0.9963323,0.0004095929,0.0008045068,0.0005119651,0.0017626673,0.0001789815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009869266,0.000265974,0.0019357271,0.0011923879,0.0000625177,0.000012556059,0.00011192713,0.0000939667,0.0000020059806],"category_scores_gemma":[0.00017170009,0.00021249165,0.0029016829,0.0014145127,0.0001765322,0.0001597552,0.00004617338,0.00024119427,2.9230682e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007090311,0.0003166857,0.94267166,0.00052116043,0.032027896,0.00000451214,0.00012820227,0.02231609,0.00035936045,0.0000018648665,0.00002563747,0.0009178837],"study_design_scores_gemma":[0.008616155,0.002078434,0.94804776,0.0015556347,0.034736954,0.0000048050024,0.000059141603,0.0020506205,0.002659553,0.000007194653,0.000017155147,0.00016660495],"about_ca_topic_score_codex":0.000050818886,"about_ca_topic_score_gemma":0.0000012123897,"teacher_disagreement_score":0.020265471,"about_ca_system_score_codex":0.00005371314,"about_ca_system_score_gemma":0.000134786,"threshold_uncertainty_score":0.8665158},"labels":[],"label_agreement":null},{"id":"W2949531384","doi":"10.1016/j.jcct.2019.06.007","title":"Impact of scan quality on the diagnostic performance of CCTA, SPECT, and PET for diagnosing myocardial ischemia defined by fractional flow reserve","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"GE Healthcare; National Institutes of Health; Dalio Foundation; Academy of Finland; Gilead Sciences","keywords":"Fractional flow reserve; Medicine; Cardiology; Ischemia; Radiology; Internal medicine; Nuclear medicine; Myocardial infarction; Coronary angiography","score_opus":0.011662594556333653,"score_gpt":0.2647657934397287,"score_spread":0.25310319888339505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949531384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863163,0.010124528,0.0019139335,0.0001934521,0.00048146278,0.00049299945,0.00014594446,0.000011569281,0.0003197969],"genre_scores_gemma":[0.99713075,0.0007237169,0.001604421,0.000056352757,0.00041670163,0.0000073883634,0.00002832468,0.000029142508,0.0000031891107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759805,0.0002153293,0.00071370567,0.00022951317,0.000982394,0.00026101427],"domain_scores_gemma":[0.99368817,0.0043063075,0.00050303736,0.00053500873,0.0008025015,0.00016498363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017788303,0.0002437312,0.0012028614,0.0003445204,0.000074106465,0.000030663392,0.00015319751,0.00006998234,0.000010902866],"category_scores_gemma":[0.0015801159,0.00016994646,0.0035690113,0.00046977116,0.00016477748,0.00012833688,0.00004769529,0.0004237336,0.0000011798411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015032935,0.00051700044,0.9316863,0.00049814343,0.013230135,0.00004559863,0.00011925455,0.030553654,0.0011054409,0.000058098263,0.016975626,0.003707469],"study_design_scores_gemma":[0.008462968,0.0027246873,0.9711018,0.0012215464,0.0025342186,0.00083688716,0.00007798072,0.0037458844,0.006589544,0.00008625118,0.0023069999,0.0003112082],"about_ca_topic_score_codex":0.00009573067,"about_ca_topic_score_gemma":3.5183683e-7,"teacher_disagreement_score":0.03941554,"about_ca_system_score_codex":0.00007047782,"about_ca_system_score_gemma":0.00020607561,"threshold_uncertainty_score":0.69302154},"labels":[],"label_agreement":null},{"id":"W2950376418","doi":"10.1016/j.jcct.2019.06.005","title":"How accurate is atherosclerosis imaging by coronary computed tomography angiography?","year":2019,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Foundation for the National Institutes of Health","keywords":"Medicine; Intravascular ultrasound; Coronary artery disease; Radiology; Coronary atherosclerosis; Culprit; Optical coherence tomography; Cardiac imaging; Computed tomography angiography; Stenosis; Coronary stent; Coronary arteries; Vulnerable plaque; Cardiology; Angiography; Internal medicine; Stent; Artery; Restenosis; Myocardial infarction","score_opus":0.026926841428775366,"score_gpt":0.2682531649436413,"score_spread":0.24132632351486596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950376418","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059283375,0.98007333,0.014059523,0.00019760728,0.0031700039,0.0015563711,0.0004406165,0.00017901047,0.00026427413],"genre_scores_gemma":[0.0015764184,0.9925582,0.0030634634,0.0004962728,0.0014599066,0.000028732084,0.00040704623,0.0003624825,0.000047476933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99222475,0.0008418211,0.0020919894,0.0012063932,0.0024967445,0.0011383225],"domain_scores_gemma":[0.99253905,0.0006407244,0.002070438,0.002250582,0.0016068206,0.0008924108],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0013462192,0.001698896,0.008999883,0.004532389,0.00022243078,0.0006591001,0.0010283139,0.00069420144,0.000023684477],"category_scores_gemma":[0.000079742786,0.0014329349,0.051616095,0.00533073,0.00040711815,0.0004956076,0.00030975087,0.0021952975,0.00004041684],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008032093,0.00062280294,0.014512325,0.0137262065,0.091784544,0.0009128311,0.00008488962,0.000084247426,0.0000035514531,0.00000566707,0.16021383,0.71796876],"study_design_scores_gemma":[0.0036835598,0.0003389287,0.0033866016,0.022188691,0.051183227,0.005167383,0.000037448113,0.00005189432,0.000008834344,0.000012192435,0.912708,0.0012332422],"about_ca_topic_score_codex":0.00001914461,"about_ca_topic_score_gemma":9.5716125e-8,"teacher_disagreement_score":0.75249416,"about_ca_system_score_codex":0.00016458376,"about_ca_system_score_gemma":0.00051562564,"threshold_uncertainty_score":0.99957573},"labels":[],"label_agreement":null},{"id":"W2954337271","doi":"10.1016/j.jcct.2019.06.016","title":"The association of coronary lumen volume to left ventricle mass ratio with myocardial blood flow and fractional flow reserve","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"GE Healthcare; Dalio Foundation; Foundation for the National Institutes of Health","keywords":"Medicine; Fractional flow reserve; Cardiology; Ventricle; Internal medicine; Blood flow; Lumen (anatomy); Myocardial infarction; Coronary angiography","score_opus":0.003667290097344837,"score_gpt":0.19576480616475908,"score_spread":0.19209751606741424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954337271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9424421,0.015990395,0.03711248,0.0014703115,0.0015557363,0.0007423717,0.000043196713,0.000034411645,0.0006090073],"genre_scores_gemma":[0.99090874,0.00035142846,0.007827801,0.0001263094,0.00068041653,0.0000029756739,0.000012978761,0.000026102825,0.00006327522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975971,0.00021921088,0.00042714865,0.00018376147,0.001337473,0.0002352927],"domain_scores_gemma":[0.9977205,0.0003861338,0.00028336878,0.00036655806,0.0010551112,0.00018832812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014242332,0.000157929,0.0006839774,0.00029415239,0.00010327689,0.0000695445,0.00011151509,0.000089346664,0.0000073817446],"category_scores_gemma":[0.00021443321,0.0001155262,0.00118744,0.00047061656,0.000047315865,0.00014509658,0.000043386877,0.00035953132,0.0000049196865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006911966,0.00011978398,0.9016291,0.000058669015,0.015245163,0.00018160987,0.00016023668,0.0701478,0.00020172574,0.000011302249,0.006138833,0.0054146023],"study_design_scores_gemma":[0.0075809746,0.0011216688,0.93561536,0.00023952236,0.0036596127,0.0012122175,0.00011177249,0.0063419333,0.00043160666,0.000049020833,0.043437432,0.0001988822],"about_ca_topic_score_codex":0.000013794743,"about_ca_topic_score_gemma":0.0000010986222,"teacher_disagreement_score":0.06380586,"about_ca_system_score_codex":0.000071315575,"about_ca_system_score_gemma":0.00017031177,"threshold_uncertainty_score":0.47110215},"labels":[],"label_agreement":null},{"id":"W2955709284","doi":"10.1016/j.jcct.2019.06.008","title":"Long-term health outcomes and cost-effectiveness of coronary CT angiography in patients with suspicion for acute coronary syndrome","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Center for Research Resources; National Heart, Lung, and Blood Institute; National Institutes of Health; American Heart Association","keywords":"Medicine; Acute coronary syndrome; Emergency medicine; Revascularization; Cost effectiveness; Emergency department; Quality-adjusted life year; Internal medicine; Cardiology; Myocardial infarction","score_opus":0.007841501094979053,"score_gpt":0.2570302517629235,"score_spread":0.24918875066794444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955709284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770743,0.015790965,0.004607153,0.000039077855,0.00043038581,0.0019834775,0.000048734626,0.00001773622,0.000008163416],"genre_scores_gemma":[0.9982484,0.00024799048,0.0012773199,0.00007435436,0.000023155106,0.000014423725,0.00007520156,0.00003817185,9.771621e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979084,0.0002511772,0.0005670961,0.00027308683,0.00069062406,0.00030957523],"domain_scores_gemma":[0.99812925,0.0003957861,0.0003472255,0.0003976341,0.00052148866,0.00020859753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010009883,0.00026400358,0.0017356188,0.0011310491,0.00003842347,0.000018008821,0.00010932063,0.000059636866,0.0000012611871],"category_scores_gemma":[0.00002231258,0.00020618801,0.0023913803,0.0006986228,0.000108698456,0.00016028102,0.000045466742,0.0002567307,3.1961727e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016339688,0.00043046306,0.9763021,0.0006741873,0.01351887,0.0004307522,0.00003711426,0.0006862069,0.0000034692655,0.000006485581,0.000029508128,0.0062468755],"study_design_scores_gemma":[0.020976715,0.0034453832,0.97008055,0.0014959474,0.0021512946,0.0015219846,0.000014204343,0.000018406206,0.000025054313,0.000015220675,0.0000644268,0.00019080008],"about_ca_topic_score_codex":0.000016806545,"about_ca_topic_score_gemma":5.318844e-7,"teacher_disagreement_score":0.0211741,"about_ca_system_score_codex":0.000064196014,"about_ca_system_score_gemma":0.00012565435,"threshold_uncertainty_score":0.8408103},"labels":[],"label_agreement":null},{"id":"W2957189729","doi":"10.1016/j.jcct.2019.07.003","title":"Comparative analysis of calcification parameters with Agatston Score approximations for ex vivo atherosclerotic lesions","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Division of Electrical, Communications and Cyber Systems; Irish Research Council; University of Limerick","keywords":"Medicine; Agatston score; Ex vivo; Calcification; Radiology; Internal medicine; Cardiology; Nuclear medicine; Computed tomography; In vivo; Coronary artery calcium","score_opus":0.028645741341608875,"score_gpt":0.2659573792415559,"score_spread":0.237311637899947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957189729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70478034,0.0023016369,0.29177603,0.00005430306,0.00015246971,0.00062825147,0.000034800814,0.000017691758,0.00025451224],"genre_scores_gemma":[0.96988773,0.000051317315,0.029886335,0.000037442103,0.000060120525,0.000010048743,0.0000413201,0.000016145374,0.000009512991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982958,0.000116111965,0.0005453518,0.0002097754,0.00065432733,0.00017863406],"domain_scores_gemma":[0.9973132,0.00037075285,0.00044152295,0.0005499818,0.0011792047,0.00014531023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552496,0.00017800275,0.0014004039,0.0013030485,0.000052243035,0.000027505328,0.000118570075,0.000069689195,0.0000054026173],"category_scores_gemma":[0.00005583738,0.00013767027,0.0033854907,0.0020752407,0.00011613788,0.00010374203,0.000015135122,0.00019134287,0.000001296964],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006706029,0.0007245429,0.2015001,0.00042287362,0.10926372,0.000023533232,0.0014298,0.68014807,0.0013331233,0.00037716844,0.00095350115,0.003152954],"study_design_scores_gemma":[0.0107704,0.0019307049,0.8488977,0.0011646337,0.07137554,0.00025835106,0.0014313429,0.051045425,0.008412338,0.00011134425,0.004062075,0.0005401195],"about_ca_topic_score_codex":0.000012095639,"about_ca_topic_score_gemma":8.812663e-7,"teacher_disagreement_score":0.64739764,"about_ca_system_score_codex":0.00004188834,"about_ca_system_score_gemma":0.00010865846,"threshold_uncertainty_score":0.5614031},"labels":[],"label_agreement":null},{"id":"W2962696187","doi":"10.1016/j.jcct.2019.07.007","title":"Effect of a calcium deblooming algorithm on accuracy of coronary computed tomography angiography","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"National Key Research and Development Program of China; GE Healthcare; National Natural Science Foundation of China; Arnold and Anita Silber Family Foundation","keywords":"Medicine; Coronary artery disease; Gold standard (test); Radiology; Stenosis; Computed tomography angiography; Angiography; Agatston score; Artifact (error); Coronary angiography; Computed tomographic angiography; Algorithm; Cardiology; Coronary artery calcium; Myocardial infarction; Artificial intelligence","score_opus":0.007079471159825296,"score_gpt":0.24677025892563575,"score_spread":0.23969078776581046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962696187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8986923,0.06512566,0.03176594,0.00006466406,0.0021499197,0.0011773745,0.000063245956,0.00007715039,0.0008837481],"genre_scores_gemma":[0.9899291,0.00019660623,0.00923813,0.00010577601,0.00042053536,0.00000515363,0.000031470405,0.0000704465,0.0000028105676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99542165,0.0006150259,0.0012972865,0.00043351288,0.0017442154,0.0004882877],"domain_scores_gemma":[0.99476945,0.0016492232,0.0009462037,0.0010971166,0.0011674658,0.00037052174],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0018342822,0.0005238391,0.0027714306,0.0030667218,0.00006126497,0.000031704207,0.00038585401,0.00023781518,0.000018081437],"category_scores_gemma":[0.00017399101,0.00043385752,0.013621077,0.0029772029,0.00025283842,0.00017749832,0.00011209831,0.0007031706,0.000007847874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025744443,0.0011736107,0.777805,0.0019309523,0.05064487,0.0010129055,0.00025248792,0.011295073,0.0016457386,0.00004165489,0.0030319358,0.14859135],"study_design_scores_gemma":[0.025602676,0.011023167,0.8953224,0.004762522,0.01412898,0.0032971064,0.000090376416,0.002897519,0.03654886,0.000054459553,0.0054115057,0.0008604212],"about_ca_topic_score_codex":0.000042421394,"about_ca_topic_score_gemma":9.691232e-8,"teacher_disagreement_score":0.14773093,"about_ca_system_score_codex":0.00003740481,"about_ca_system_score_gemma":0.00013687629,"threshold_uncertainty_score":0.99981135},"labels":[],"label_agreement":null},{"id":"W2965096123","doi":"10.1016/j.jcct.2019.08.006","title":"Coronary venous anatomy and anomalies","year":2019,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Vascular anomalies and interventions","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Circle Cardiovascular Imaging; National Institutes of Health; Siemens Healthineers; Bayer HealthCare","keywords":"Medicine; Coronary anatomy; Cardiology; Internal medicine; Radiology; Coronary angiography; Myocardial infarction","score_opus":0.03385782546609803,"score_gpt":0.30242857309791443,"score_spread":0.26857074763181643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965096123","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016484718,0.9965614,0.0011623867,0.000022115586,0.0008781482,0.00068030733,0.000023198736,0.0000308017,0.00047678436],"genre_scores_gemma":[0.00040415023,0.997449,0.0013175786,0.00003685659,0.00059231103,0.000007374623,0.000046916637,0.00008658803,0.00005921522],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99696964,0.00032492663,0.0012226237,0.00037016452,0.0007919118,0.0003207123],"domain_scores_gemma":[0.9977135,0.00007566877,0.00067876733,0.0008038434,0.00044943247,0.0002787885],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00076501555,0.0005146776,0.0048433044,0.0013688972,0.00008586808,0.00008099512,0.00029169343,0.00037146528,0.000033282293],"category_scores_gemma":[0.0000261839,0.00039039282,0.01708014,0.0007742953,0.00013842287,0.00014336174,0.00014741215,0.00084430625,0.000014933857],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000244676,0.00023959027,0.00010922478,0.018923534,0.052209552,0.0012396236,0.000024598794,0.000020381165,5.6187897e-8,0.0000708099,0.0011850607,0.9259531],"study_design_scores_gemma":[0.0014617778,0.0010434325,0.0005827932,0.017603317,0.02977656,0.026030432,0.00002144549,0.000010518964,3.0048253e-7,0.000014911815,0.9231374,0.000317108],"about_ca_topic_score_codex":0.0000057827674,"about_ca_topic_score_gemma":2.3032545e-7,"teacher_disagreement_score":0.925636,"about_ca_system_score_codex":0.00006943865,"about_ca_system_score_gemma":0.00030078262,"threshold_uncertainty_score":0.9998548},"labels":[],"label_agreement":null},{"id":"W2968539651","doi":"10.1016/j.jcct.2019.08.003","title":"Differences in left ventricular measurements: Attenuation versus contour based methods","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Siemens; Bone and Joint Canada","keywords":"Medicine; Cohort; Ventricle; Nuclear medicine; Radiology; Linear regression; Mean difference; Cardiology; Statistics; Internal medicine; Confidence interval; Mathematics","score_opus":0.034775293009159276,"score_gpt":0.29154556947556337,"score_spread":0.2567702764664041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968539651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7465183,0.04161595,0.20571163,0.00036603378,0.0040066554,0.0006692628,0.0000040489604,0.000051990326,0.0010560821],"genre_scores_gemma":[0.9789924,0.0000779357,0.020464055,0.000121658435,0.0003098962,0.0000021433118,0.000008055725,0.00002084778,0.0000030336746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972413,0.0005574073,0.0005698311,0.00022322053,0.0011499606,0.00025823884],"domain_scores_gemma":[0.99806136,0.00038503646,0.0002445161,0.0004275133,0.00071550213,0.00016607929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023269684,0.00020351812,0.0010444943,0.00092315255,0.00003003275,0.000046703248,0.00013276249,0.00010470966,0.000024436078],"category_scores_gemma":[0.00038428907,0.00017210694,0.0023581083,0.00070989574,0.000041111332,0.00012202531,0.000024883573,0.00038097485,0.0000073819365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068816514,0.0003248383,0.9631333,0.00015054896,0.0072339587,0.0005513567,0.000083192324,0.008560548,0.00035876012,0.000014233961,0.0005082071,0.018392924],"study_design_scores_gemma":[0.026596278,0.0007983814,0.95117354,0.00088928145,0.0032101278,0.0003958507,0.00011808129,0.0040634493,0.0028038584,0.000040491967,0.009552886,0.00035779664],"about_ca_topic_score_codex":0.000020504287,"about_ca_topic_score_gemma":6.7106856e-7,"teacher_disagreement_score":0.23247404,"about_ca_system_score_codex":0.000103703074,"about_ca_system_score_gemma":0.00016301034,"threshold_uncertainty_score":0.70183176},"labels":[],"label_agreement":null},{"id":"W2969423253","doi":"10.1016/j.jcct.2019.08.007","title":"Left ventricular outflow tract calcium and TAVR—The tip of the iceberg?","year":2019,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Valve replacement; Stenosis; Ventricular outflow tract; Cardiology; Aortic valve replacement; Aortic valve stenosis; Percutaneous; Internal medicine; Aortic valve","score_opus":0.010496139890121723,"score_gpt":0.2508740250033677,"score_spread":0.24037788511324598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969423253","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27897206,0.5700651,0.0025194804,0.13076985,0.011300504,0.0047061215,0.00047829727,0.0000757373,0.0011128914],"genre_scores_gemma":[0.90500695,0.0029107705,0.00040768427,0.079580456,0.011405143,0.000013496827,0.00016196878,0.0002636545,0.00024987396],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960005,0.00048235484,0.00077643164,0.00035054146,0.0019735768,0.00041656237],"domain_scores_gemma":[0.9968867,0.00020459604,0.00076197187,0.0013319217,0.00067794713,0.0001368748],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00068426854,0.00047919244,0.0018903652,0.00048193682,0.00011894088,0.00006328667,0.00042053705,0.0004673598,0.000014843594],"category_scores_gemma":[0.00005289316,0.0002575768,0.022419332,0.0005672034,0.00020476744,0.0000762147,0.00014522963,0.001709319,0.000004152013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002422927,0.000495352,0.19631898,0.0016650774,0.1851869,0.0054322057,0.00015694699,0.0016798364,0.000010896091,0.0000052637088,0.6014551,0.0073511554],"study_design_scores_gemma":[0.0041385284,0.0002903213,0.2934806,0.00087027304,0.034717146,0.0042014928,0.000023231454,0.000039400016,0.00005959272,0.000028156066,0.6618695,0.0002817406],"about_ca_topic_score_codex":0.000034548702,"about_ca_topic_score_gemma":1.2021749e-7,"teacher_disagreement_score":0.6260349,"about_ca_system_score_codex":0.00007015508,"about_ca_system_score_gemma":0.00024244908,"threshold_uncertainty_score":0.99998766},"labels":[],"label_agreement":null},{"id":"W2969546870","doi":"10.1016/j.jcct.2019.08.010","title":"Validation of a computational model aiming to optimize preprocedural planning in percutaneous left atrial appendage closure","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"Rigshospitalet; Gentofte Hospital; National Heart Foundation of New Zealand","keywords":"Medicine; Appendage; Percutaneous; Closure (psychology); Cardiology; Internal medicine; Radiology; Anatomy","score_opus":0.02672524509703341,"score_gpt":0.2835642266430464,"score_spread":0.25683898154601303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969546870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8969085,0.0015548506,0.10013313,0.00020956955,0.0003201515,0.0005909172,0.0000035457992,0.000022114395,0.00025718566],"genre_scores_gemma":[0.94395196,0.000012172707,0.055600487,0.000049394836,0.00032641413,7.459675e-8,0.000017431505,0.000021349622,0.000020697778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766594,0.000109993984,0.00083840056,0.00022667063,0.00096491084,0.00019406689],"domain_scores_gemma":[0.9987976,0.0001166622,0.0003367388,0.00024231369,0.0003895557,0.00011714293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009106877,0.00017933661,0.00091633043,0.0011035515,0.000033643148,0.00003176175,0.00014354114,0.0000964606,0.00001853278],"category_scores_gemma":[0.00007340076,0.00016421382,0.0021231612,0.00059994834,0.000021763379,0.00019461114,0.000064174026,0.00022602634,0.000003997422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007402232,0.000010813342,0.14977208,0.00011524921,0.001765898,0.000092140785,0.00050669874,0.84612155,0.00023000532,0.000029852126,0.000075011994,0.0005404633],"study_design_scores_gemma":[0.016471803,0.0011436094,0.18712844,0.0014451081,0.0027671198,0.0027812803,0.0005630516,0.7832123,0.0008334635,0.0008266333,0.0021486464,0.0006785718],"about_ca_topic_score_codex":0.0000048681604,"about_ca_topic_score_gemma":1.4050643e-7,"teacher_disagreement_score":0.06290928,"about_ca_system_score_codex":0.000053201693,"about_ca_system_score_gemma":0.00011130168,"threshold_uncertainty_score":0.66964453},"labels":[],"label_agreement":null},{"id":"W2990846562","doi":"10.1016/j.jcct.2019.11.003","title":"Reference values for mid-diastolic right ventricular volume in population referred for cardiac computed tomography: An additional diagnostic value to cardiac computed tomography","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Siemens USA","keywords":"Medicine; Computed tomography; Radiology; Tomography; Ventricular volume; Population; Cardiology; Ejection fraction; Heart failure","score_opus":0.01755938936975188,"score_gpt":0.265458212273934,"score_spread":0.24789882290418214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990846562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95238423,0.023257539,0.011097004,0.00037338203,0.0024455253,0.0071381447,0.003028388,0.00019551844,0.0000802739],"genre_scores_gemma":[0.9663382,0.00022057293,0.025687084,0.00025715437,0.0011065365,0.00034060798,0.005897431,0.00013324863,0.000019169725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931725,0.0008686559,0.001505349,0.0011088508,0.0021870174,0.0011576143],"domain_scores_gemma":[0.99366045,0.0011213735,0.0005175179,0.0012085325,0.002302428,0.0011896816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016296017,0.00077703263,0.0028492499,0.0039998554,0.00029122175,0.00014875786,0.000602244,0.0004238929,0.00005819338],"category_scores_gemma":[0.00031020126,0.0006954468,0.005965196,0.00349128,0.00011864041,0.00055469683,0.00013469282,0.0006797887,0.000016549175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008762194,0.007911844,0.7246268,0.0021977308,0.0710748,0.0062276083,0.0002983929,0.084550254,0.0011464348,0.0006318182,0.05754513,0.035027027],"study_design_scores_gemma":[0.010578861,0.0042182975,0.9097865,0.0014128066,0.0026998287,0.0005190309,0.00006203028,0.008253419,0.00033596603,0.00081873743,0.060428895,0.000885621],"about_ca_topic_score_codex":0.00016983759,"about_ca_topic_score_gemma":0.000004482508,"teacher_disagreement_score":0.18515973,"about_ca_system_score_codex":0.00023965996,"about_ca_system_score_gemma":0.00028395708,"threshold_uncertainty_score":0.9995497},"labels":[],"label_agreement":null},{"id":"W2997473251","doi":"10.1016/j.jcct.2019.12.034","title":"Highlights of the fourteenth annual scientific meeting of the Society of Cardiovascular Computed Tomography","year":2019,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Computed tomography; Clinical Practice; Medical physics; Medical education; Gerontology; Family medicine; Radiology","score_opus":0.006636430404717554,"score_gpt":0.21471997359776573,"score_spread":0.20808354319304817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997473251","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01955901,0.23220712,0.006379355,0.00021915093,0.7381178,0.0019915658,0.0010188718,0.000069488764,0.00043761783],"genre_scores_gemma":[0.56098044,0.0054732654,0.010576837,0.00010887515,0.42195076,0.00002078473,0.0002756042,0.00051227835,0.00010115321],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98615676,0.001262621,0.0026077018,0.0008374215,0.008421984,0.00071352377],"domain_scores_gemma":[0.9831262,0.001437351,0.0031580506,0.0038118279,0.008181229,0.00028530037],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0058096726,0.000889201,0.0051337015,0.0012998201,0.0003162669,0.00010284877,0.0019185696,0.000998409,0.0000033052377],"category_scores_gemma":[0.00079285906,0.00057068357,0.054111674,0.0046801264,0.0016201506,0.00018759911,0.0007580843,0.002346806,9.259992e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021684024,0.0005778903,0.0056552715,0.0034350455,0.12398098,0.000053579504,0.000820733,0.041839268,0.00017030002,0.000025469784,0.8213432,0.001881425],"study_design_scores_gemma":[0.00806058,0.00043626237,0.012565154,0.008737622,0.038144257,0.0002502346,0.00026353868,0.00038736907,0.004465021,0.000051065927,0.9259484,0.00069050153],"about_ca_topic_score_codex":0.00017143312,"about_ca_topic_score_gemma":0.0000015428161,"teacher_disagreement_score":0.5414214,"about_ca_system_score_codex":0.00013994548,"about_ca_system_score_gemma":0.001730432,"threshold_uncertainty_score":0.9999548},"labels":[],"label_agreement":null},{"id":"W2999707610","doi":"10.1016/j.jcct.2020.01.003","title":"The Journal of Cardiovascular Computed Tomography year in review – 2019","year":2020,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Siemens Healthineers; Dalio Foundation; GE Healthcare; Siemens Foundation","keywords":"Medicine; Computed tomography; Medical physics; Radiology; Tomography","score_opus":0.017255771883085278,"score_gpt":0.2708313024213728,"score_spread":0.2535755305382875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999707610","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006830608,0.9887809,0.006115574,0.0002249366,0.0030619071,0.0014760721,0.00004456984,0.000043514978,0.00024567085],"genre_scores_gemma":[0.00006967284,0.99432766,0.0023285488,0.0002143851,0.0028224473,0.000009443717,0.000042020827,0.00018082032,0.0000050158997],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9877396,0.0028595456,0.004332965,0.0005588063,0.0037085938,0.00080046593],"domain_scores_gemma":[0.9905757,0.0013309192,0.002710426,0.0020196808,0.002568643,0.00079468754],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008613458,0.0011311949,0.012296207,0.0025891152,0.00016169656,0.00015988073,0.0014204523,0.00053158245,0.0000069837915],"category_scores_gemma":[0.00096455734,0.00076090574,0.045119762,0.005799713,0.00035566327,0.00021737532,0.0002845095,0.0036899082,0.000018220268],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116112904,0.000223288,0.0001899576,0.024781454,0.09438316,0.004822376,0.000052728825,0.0009588412,1.0999876e-7,0.000015890326,0.048533782,0.8259223],"study_design_scores_gemma":[0.0029928961,0.0004505985,0.00030161568,0.08783048,0.06093286,0.012771637,0.000024544206,0.000013460509,0.0000012689429,0.000017249542,0.8341258,0.0005375905],"about_ca_topic_score_codex":0.000021828182,"about_ca_topic_score_gemma":4.7037364e-7,"teacher_disagreement_score":0.82538474,"about_ca_system_score_codex":0.00023285905,"about_ca_system_score_gemma":0.0015500548,"threshold_uncertainty_score":0.9994842},"labels":[],"label_agreement":null},{"id":"W3003283370","doi":"10.1016/j.jcct.2020.01.006","title":"A pooled-analysis of age and sex based coronary artery calcium scores percentiles","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; University of Alberta; General Electric","keywords":"Percentile; Nomogram; Medicine; Coronary artery disease; Population; Asymptomatic; Internal medicine; Demography; Statistics; Environmental health","score_opus":0.016411225198481556,"score_gpt":0.23894627266485813,"score_spread":0.22253504746637656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003283370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8786239,0.04019186,0.079997964,0.00049021223,0.00022482526,0.00021937312,0.00003940881,0.000041745963,0.0001706962],"genre_scores_gemma":[0.9955137,0.00018448327,0.0033356056,0.0006366113,0.00028207462,0.0000011963798,0.000023442248,0.000021403765,0.0000015156107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979933,0.00017751972,0.00058062724,0.00023046132,0.00082511554,0.00019300658],"domain_scores_gemma":[0.9985188,0.00019825267,0.00021659618,0.00034411112,0.00036193492,0.00036029916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428289,0.0002017056,0.0015523507,0.0009558138,0.00004049003,0.000038130667,0.00011597369,0.000079938756,0.000011201445],"category_scores_gemma":[0.000111159534,0.0001736001,0.0047698882,0.0013499017,0.00016281696,0.00007228115,0.000051718525,0.00029534346,5.804875e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053748634,0.00041121204,0.71440977,0.0005811431,0.19545834,0.009562894,0.0010001906,0.052913737,0.0013328295,0.000014033982,0.0037037372,0.020074632],"study_design_scores_gemma":[0.0040943036,0.0005032891,0.89945537,0.00023762241,0.07508288,0.0006395965,0.00018502165,0.01509965,0.0007279356,0.000011287766,0.0037318885,0.0002311729],"about_ca_topic_score_codex":0.000013541976,"about_ca_topic_score_gemma":3.7651336e-7,"teacher_disagreement_score":0.18504559,"about_ca_system_score_codex":0.000015229405,"about_ca_system_score_gemma":0.000092604365,"threshold_uncertainty_score":0.7079207},"labels":[],"label_agreement":null},{"id":"W3003705486","doi":"10.1016/j.jcct.2020.01.012","title":"Percent atheroma volume: Optimal variable to report whole-heart atherosclerotic plaque burden with coronary CTA, the PARADIGM study","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"GE Healthcare; National Research Foundation of Korea; Michael Wolk Heart Foundation; National Institutes of Health; Dalio Foundation","keywords":"Medicine; Atheroma; Quartile; Cardiology; Internal medicine; Population; Coronary atherosclerosis; Coronary arteries; Body surface area; Lumen (anatomy); Artery; Coronary artery disease; Radiology; Confidence interval","score_opus":0.012672058802636454,"score_gpt":0.22545308188460245,"score_spread":0.212781023081966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003705486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9015252,0.0076267035,0.079945944,0.008234158,0.00062222563,0.0017088399,0.000013905707,0.000115108814,0.00020789342],"genre_scores_gemma":[0.98558146,0.00003282919,0.011539688,0.0011813358,0.001535599,0.000019932724,0.000009211358,0.00007750987,0.000022461518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99640507,0.00033978443,0.0007569663,0.00045811053,0.0016115159,0.00042855088],"domain_scores_gemma":[0.9974335,0.00015315678,0.0002477769,0.0009400604,0.00057595834,0.00064958684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012371748,0.00036736764,0.0013016255,0.00023928056,0.00018535934,0.0001383013,0.00033526757,0.00008772577,0.000018250228],"category_scores_gemma":[0.00015411565,0.00024591375,0.0018444438,0.0011537512,0.00012104894,0.00012714109,0.00012867655,0.0007538558,0.000023720693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021039818,0.001264892,0.49177688,0.00016911064,0.03359953,0.02112727,0.005923229,0.40061563,0.000497025,0.000021423131,0.039749917,0.003151091],"study_design_scores_gemma":[0.008578952,0.0060466,0.7405726,0.0005250918,0.007504424,0.027477408,0.0016008661,0.0027133855,0.000051680345,0.000013277492,0.2043645,0.0005512829],"about_ca_topic_score_codex":0.000053517,"about_ca_topic_score_gemma":3.2362513e-7,"teacher_disagreement_score":0.39790225,"about_ca_system_score_codex":0.00006972842,"about_ca_system_score_gemma":0.00029167585,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W3004069883","doi":"10.1016/j.jcct.2020.01.008","title":"Annular versus supra-annular sizing for transcatheter aortic valve replacement in bicuspid aortic valve disease","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"Circle Cardiovascular Imaging; Medtronic; Abbott Laboratories","keywords":"Medicine; Bicuspid aortic valve; Aortic valve; Internal medicine; Cardiology; Bicuspid valve; Valve replacement; Stenosis; Sizing; Aortic valve stenosis","score_opus":0.021993794102818858,"score_gpt":0.2898746400691769,"score_spread":0.267880845966358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004069883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9087649,0.07121782,0.016305707,0.00078974816,0.00097377365,0.0017231845,0.000090802816,0.000071900045,0.00006216474],"genre_scores_gemma":[0.9964014,0.00063367706,0.0016055664,0.00043039714,0.0007205978,0.000051785257,0.00007030958,0.0000845341,0.0000016753968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962456,0.00023349278,0.0010711681,0.00058938615,0.0012730333,0.0005873225],"domain_scores_gemma":[0.99718094,0.00013856457,0.00031892938,0.00069261156,0.0005788765,0.0010900593],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00063240615,0.00047016176,0.0015546983,0.0006119658,0.00009921636,0.000081925806,0.00023362866,0.00012122249,0.000018838484],"category_scores_gemma":[0.00018393475,0.00041311837,0.03174521,0.0010063272,0.00008180175,0.00025581886,0.000053512653,0.0003648197,0.0000060146162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.026772702,0.0031884846,0.6047867,0.0022722355,0.28830236,0.00094013044,0.0016861794,0.029954782,0.00021289417,0.00008629383,0.0014145578,0.04038266],"study_design_scores_gemma":[0.06260173,0.0053612706,0.82522213,0.001063811,0.07845959,0.00011481151,0.0004286688,0.0058139605,0.0003682419,0.0002384428,0.019206932,0.0011204156],"about_ca_topic_score_codex":0.000012160084,"about_ca_topic_score_gemma":2.515165e-7,"teacher_disagreement_score":0.22043543,"about_ca_system_score_codex":0.00014915223,"about_ca_system_score_gemma":0.00023615076,"threshold_uncertainty_score":0.9998321},"labels":[],"label_agreement":null},{"id":"W3006573049","doi":"10.1016/j.jcct.2020.01.013","title":"Feasibility of extracellular volume fraction calculation using myocardial CT delayed enhancement with low contrast media administration","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eisai Canada; Daiichi-Sankyo","keywords":"Medicine; Contrast (vision); Nuclear medicine; Volume (thermodynamics); Extracellular fluid; Intravenous contrast; Extracellular; Radiology; Computed tomography; Artificial intelligence","score_opus":0.018828562327878547,"score_gpt":0.25273323054435104,"score_spread":0.2339046682164725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006573049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57175595,0.005681256,0.42182627,0.00012042011,0.00027530047,0.00028474946,0.000010246027,0.000018462584,0.00002737321],"genre_scores_gemma":[0.9880171,0.000084768006,0.010904288,0.00007166342,0.0008501896,0.0000018344044,0.00004310211,0.000026566062,5.1399303e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972063,0.00023107746,0.0008115071,0.00026892568,0.0012695568,0.00021265703],"domain_scores_gemma":[0.99758,0.00011231759,0.00055589667,0.0003319458,0.0011025736,0.00031725282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077437033,0.00023124163,0.0010566359,0.00025966088,0.00006331977,0.000038870607,0.00008278056,0.000078339384,0.000009118276],"category_scores_gemma":[0.00021375425,0.00020350148,0.0019170123,0.00068560103,0.000116146075,0.00021391679,0.000018852135,0.00037419776,0.0000012949466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011011486,0.0019092046,0.62972647,0.0011863337,0.040060334,0.0039483,0.0011593614,0.24086607,0.033525396,0.000053946602,0.0014146386,0.035138484],"study_design_scores_gemma":[0.03541326,0.006089161,0.72747564,0.0018268999,0.028659498,0.006025261,0.00058698177,0.11757671,0.067844756,0.000069101785,0.007105453,0.0013272598],"about_ca_topic_score_codex":0.000025699688,"about_ca_topic_score_gemma":6.590943e-7,"teacher_disagreement_score":0.41626114,"about_ca_system_score_codex":0.0001002848,"about_ca_system_score_gemma":0.00033402615,"threshold_uncertainty_score":0.8298549},"labels":[],"label_agreement":null},{"id":"W3011655240","doi":"10.1016/j.jcct.2020.02.006","title":"Coronary ostial eccentricity in severe aortic stenosis: Guidance for BASILICA transcatheter leaflet laceration","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; St. Paul's Hospital; McGill University; University of British Columbia","funders":"Edwards Lifesciences; Medtronic","keywords":"Medicine; Cardiology; Cusp (singularity); Internal medicine; Aortic valve; Stenosis; Ostium; Eccentric; Coronary arteries; Artery; Valve replacement; Eccentricity (behavior); Left coronary artery; Geometry","score_opus":0.01599376201704859,"score_gpt":0.26890146102848217,"score_spread":0.25290769901143356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011655240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93413854,0.02472316,0.038326826,0.0011108096,0.00037795852,0.0011212986,0.000075355216,0.000038737315,0.00008733971],"genre_scores_gemma":[0.996557,0.00031331799,0.0019518596,0.00056559814,0.00053184875,0.000018070356,0.00003149241,0.000029035928,0.0000017918404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981688,0.00014138428,0.00057356665,0.00026893828,0.000595525,0.0002517391],"domain_scores_gemma":[0.9988785,0.00005691085,0.00016336428,0.00024138032,0.00035702484,0.0003028172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027836164,0.00021271559,0.00085680495,0.0002491871,0.000052422703,0.000030673873,0.00011071296,0.00009227689,0.0000100559655],"category_scores_gemma":[0.00004679153,0.00018493686,0.009282221,0.0005653671,0.000036534962,0.00014451737,0.000018492274,0.00018496641,0.0000017581759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076546115,0.0015181418,0.80614096,0.00091464457,0.0555275,0.0007025342,0.00073463604,0.04383914,0.00020047462,0.000037957623,0.004143774,0.078585625],"study_design_scores_gemma":[0.02187241,0.0016922673,0.9550446,0.0003618574,0.009146596,0.00022496788,0.00007630542,0.005000582,0.00023683996,0.000060192062,0.00595991,0.00032346384],"about_ca_topic_score_codex":0.000008070775,"about_ca_topic_score_gemma":3.0581796e-7,"teacher_disagreement_score":0.14890364,"about_ca_system_score_codex":0.00007000773,"about_ca_system_score_gemma":0.00011265688,"threshold_uncertainty_score":0.93613684},"labels":[],"label_agreement":null},{"id":"W3021376957","doi":"10.1016/j.jcct.2020.04.011","title":"Temporal changes in FFRCT-Guided Management of Coronary Artery Disease – Lessons from the ADVANCE Registry","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"Novo Nordisk Fonden; Classical Association; Duke Clinical Research Institute; Siemens Healthineers; Siemens; Edwards Lifesciences; Abbott Laboratories; Sanofi; Bayer; GE Healthcare; Philips","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Radiology","score_opus":0.02210193073407035,"score_gpt":0.25757422332002183,"score_spread":0.23547229258595148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021376957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6750993,0.26562047,0.031178238,0.025152003,0.0012314176,0.0008928002,0.00014887268,0.000073334,0.0006035635],"genre_scores_gemma":[0.99244356,0.002062487,0.003873476,0.0009595637,0.0006029588,0.0000049373257,0.000026887532,0.000023129372,0.0000029932262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815226,0.00016536158,0.0004843595,0.00022567893,0.00077595457,0.00019640807],"domain_scores_gemma":[0.99854213,0.00014904911,0.00026001467,0.0005626605,0.00021583811,0.00027031044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040473844,0.000185679,0.0007662947,0.00016334659,0.000035716956,0.000021682052,0.0002431347,0.000048759754,0.000004942007],"category_scores_gemma":[0.00007321493,0.0001409238,0.0016716688,0.0006556448,0.00011939123,0.00007066744,0.00009514556,0.00036413418,0.0000013780626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015385567,0.0005695622,0.8345228,0.0008800337,0.021546254,0.02294885,0.00066149834,0.022590438,0.000113590555,0.00014859738,0.027864337,0.066615514],"study_design_scores_gemma":[0.005055661,0.00015573594,0.95139045,0.0013596183,0.002891366,0.0003098907,0.0002947043,0.00041506413,0.00013437455,0.0001893162,0.037614692,0.00018915124],"about_ca_topic_score_codex":0.000016137277,"about_ca_topic_score_gemma":0.0000011948878,"teacher_disagreement_score":0.31734428,"about_ca_system_score_codex":0.000025992129,"about_ca_system_score_gemma":0.00007531191,"threshold_uncertainty_score":0.5746706},"labels":[],"label_agreement":null},{"id":"W3022583394","doi":"10.1016/j.jcct.2016.01.010","title":"President's Page","year":2016,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cardiac skeleton; Cardiology; Valve replacement; Internal medicine; Stenosis; Regurgitation (circulation); Aortic valve replacement; Radiology","score_opus":0.0059469080279404025,"score_gpt":0.2792596567817992,"score_spread":0.2733127487538588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022583394","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011895726,0.16114968,0.0017221062,0.000047858157,0.83397555,0.0005137578,0.00026490047,0.00006441861,0.0010721546],"genre_scores_gemma":[0.012307337,0.008550637,0.00051750115,0.00003127669,0.97811157,0.000011394409,0.00015873645,0.00014735933,0.00016422092],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99449074,0.00025884245,0.0009504526,0.0004585496,0.003397738,0.00044364817],"domain_scores_gemma":[0.9952657,0.0003207903,0.0007078543,0.0011315615,0.0019819129,0.00059216394],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00071649795,0.00057261024,0.00253321,0.0010882445,0.00007791578,0.00009564692,0.0003450564,0.0007134112,0.000040627823],"category_scores_gemma":[0.0002585944,0.0003953995,0.034353446,0.00050258497,0.00010504963,0.00016021919,0.000117558884,0.00090214715,0.000027664722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004568954,0.00023145026,0.001558934,0.00031706106,0.11066208,0.0019858833,0.000012088203,0.00003180763,0.0000037759346,0.000002864001,0.87485194,0.009885236],"study_design_scores_gemma":[0.008721271,0.0005942075,0.008467397,0.0017175578,0.03130301,0.0002305305,0.0000062843797,0.0000016100572,0.00002495607,0.000085416235,0.94848794,0.00035984503],"about_ca_topic_score_codex":0.000015317446,"about_ca_topic_score_gemma":1.3256154e-7,"teacher_disagreement_score":0.15259905,"about_ca_system_score_codex":0.00017430265,"about_ca_system_score_gemma":0.00069821905,"threshold_uncertainty_score":0.9998498},"labels":[],"label_agreement":null},{"id":"W3034235911","doi":"10.1016/j.jcct.2020.05.002","title":"Diagnostic value of comprehensive on-site and off-site coronary CT angiography for identifying hemodynamically obstructive coronary artery disease","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Stenosis; Fractional flow reserve; Coronary artery disease; Radiology; Computed tomography angiography; Area under the curve; Cardiology; Computed tomography; Artery; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.013904257138706437,"score_gpt":0.23789870544116376,"score_spread":0.22399444830245732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034235911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8921312,0.07392931,0.03190789,0.00035071064,0.0005869193,0.0007714576,0.00024609038,0.000050167684,0.000026223834],"genre_scores_gemma":[0.99068236,0.0011296013,0.006714324,0.00079022226,0.00051936967,0.0000115420025,0.000090225876,0.00006175524,5.9228324e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971581,0.00026444776,0.00080396875,0.00045816088,0.0009613794,0.00035394577],"domain_scores_gemma":[0.9956526,0.0017882314,0.00041344756,0.00045907748,0.00093615515,0.00075046875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033234782,0.00039535234,0.0014961316,0.00074441946,0.00012556926,0.00005261535,0.00016543693,0.00007339211,0.0000022029021],"category_scores_gemma":[0.00037612984,0.00037218462,0.0057869013,0.0008160565,0.00031849512,0.00018475077,0.00010913527,0.0004972607,0.0000016661777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043120547,0.0006138278,0.88777703,0.0017782467,0.03548155,0.0095296465,0.00065940886,0.030320453,0.0007681987,0.00020344164,0.0021522313,0.026403904],"study_design_scores_gemma":[0.007403794,0.0010202966,0.97495216,0.0010355688,0.0075135455,0.0019367009,0.00016537028,0.003249423,0.00012283237,0.00025315274,0.0019999677,0.00034716947],"about_ca_topic_score_codex":0.0000053839276,"about_ca_topic_score_gemma":1.4618256e-7,"teacher_disagreement_score":0.09855114,"about_ca_system_score_codex":0.000033699398,"about_ca_system_score_gemma":0.00012129861,"threshold_uncertainty_score":0.999873},"labels":[],"label_agreement":null},{"id":"W3038119165","doi":"10.1016/j.jcct.2020.04.002","title":"A comparative assessment of the performance of a state-of-the art small footprint dedicated cardiovascular CT scanner","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"GE Healthcare; Arnold and Anita Silber Family Foundation","keywords":"Medicine; Scanner; Footprint; Medical physics; State of art; Nuclear medicine; Radiology; Artificial intelligence; Data science; Computer science; Archaeology","score_opus":0.018956643708597242,"score_gpt":0.24285336817671138,"score_spread":0.22389672446811415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038119165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652754,0.017168274,0.015498328,0.00037774604,0.0005885344,0.00062442565,0.00002650634,0.000016762313,0.00042398888],"genre_scores_gemma":[0.99619764,0.00033842502,0.0031471257,0.00010564673,0.00017492978,0.000004748953,0.0000032469,0.000025501653,0.0000027435656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99610424,0.0005107766,0.001074614,0.00024263593,0.001810657,0.00025709084],"domain_scores_gemma":[0.9964441,0.00015818882,0.00078655966,0.000978473,0.0014181812,0.00021452102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294161,0.00027223697,0.0020019917,0.00026832384,0.00007027702,0.0000148898125,0.00049765344,0.00005254797,0.0000023815596],"category_scores_gemma":[0.00013636785,0.00016768932,0.008326166,0.0016733716,0.00041567758,0.000049775867,0.00022260843,0.00067040866,5.31903e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035508996,0.0005626298,0.42940566,0.0013762894,0.070817724,0.00014260465,0.0010989028,0.48010132,0.0018748079,0.00003131799,0.0015306701,0.012702985],"study_design_scores_gemma":[0.006221677,0.00081146887,0.905603,0.0015833053,0.009585499,0.0007215565,0.00014813269,0.009195118,0.04705181,0.000017561923,0.018781697,0.000279199],"about_ca_topic_score_codex":0.000026459877,"about_ca_topic_score_gemma":6.959625e-7,"teacher_disagreement_score":0.4761973,"about_ca_system_score_codex":0.00004985891,"about_ca_system_score_gemma":0.0005016996,"threshold_uncertainty_score":0.8397162},"labels":[],"label_agreement":null},{"id":"W3047186512","doi":"10.1016/j.jcct.2020.06.079","title":"Assessment Of Lateral Costal Artery With Ct-angiography: Importance For Patients Undergoing Coronary Artery Bypass Grafting","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Artery; Bypass grafting; Angina; Cardiology; Angiography; Internal medicine; Coronary artery disease; Internal thoracic artery; Radiology; Computed tomography angiography; Coronary angiography; Derivation; Myocardial infarction","score_opus":0.011257027815720567,"score_gpt":0.22450667821583922,"score_spread":0.21324965040011865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047186512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720143,0.0030471676,0.023463484,0.00024637958,0.00027174124,0.00073652127,0.00003392914,0.000049946346,0.00013655161],"genre_scores_gemma":[0.9839559,0.00008520159,0.015147723,0.00034207792,0.00034458432,0.0000112261,0.00005808718,0.000053675176,0.0000015098517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691784,0.00015293191,0.0010174963,0.00036534344,0.0011644966,0.0003818797],"domain_scores_gemma":[0.9977119,0.00018823595,0.0006757485,0.0004024909,0.0006828527,0.0003387618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047606634,0.00035082636,0.0012646437,0.000534325,0.00010539999,0.000047223533,0.00025936493,0.000064579166,0.000008530894],"category_scores_gemma":[0.000024219506,0.00029385602,0.0037987202,0.0008107295,0.00014202287,0.00039823126,0.000070953494,0.00036501227,3.807124e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009737856,0.00041773095,0.97075063,0.0003573275,0.02021072,0.001151876,0.00017376897,0.0017907023,0.000113603164,0.00002241472,0.00025238295,0.0037850344],"study_design_scores_gemma":[0.013239607,0.0065628644,0.97014165,0.0006211125,0.003213995,0.002037119,0.00014513159,0.0010239786,0.00014047272,0.000051735893,0.0024570345,0.00036532021],"about_ca_topic_score_codex":0.0000011978221,"about_ca_topic_score_gemma":0.0000012434648,"teacher_disagreement_score":0.016996726,"about_ca_system_score_codex":0.00004606644,"about_ca_system_score_gemma":0.00018387316,"threshold_uncertainty_score":0.99995136},"labels":[],"label_agreement":null},{"id":"W3047214304","doi":"10.1016/j.jcct.2020.06.032","title":"Impact Of A Dedicated Purpose Built Small Footprint Cardiac CT On Operational Efficiency And Cost Effectiveness","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Reimbursement; Footprint; Guideline; Cost effectiveness; Risk analysis (engineering); Health care; Pathology","score_opus":0.014499306200240978,"score_gpt":0.2333663469102579,"score_spread":0.21886704071001692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047214304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6809701,0.012206948,0.30622983,0.000013439204,0.00020601177,0.0002456669,0.000009739713,0.00004817075,0.00007008514],"genre_scores_gemma":[0.99789345,0.00033788316,0.0015283163,0.000013754711,0.00018727423,0.00000533245,0.0000036544614,0.000030274154,8.290784e-8],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998571,0.00018093696,0.00040580594,0.00018134483,0.00044257054,0.00021834028],"domain_scores_gemma":[0.9990736,0.00012497338,0.000099126715,0.00020651074,0.00025626266,0.00023949609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048973155,0.0002346868,0.00074747467,0.00030849894,0.00005620469,0.000038904316,0.00020311067,0.00004487996,0.0000017439539],"category_scores_gemma":[0.000046665755,0.00020015691,0.00164827,0.0007228643,0.00007147388,0.00010183469,0.00004303125,0.0003810307,7.5693526e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010028872,0.000055200184,0.0070834737,0.00015001903,0.0045783925,0.000095447416,0.00011733357,0.9484828,0.002667356,0.000036828438,0.00001656169,0.03661628],"study_design_scores_gemma":[0.013575907,0.0033633092,0.76847345,0.0015471439,0.0025229836,0.0010060787,0.00013264971,0.15818775,0.04037194,0.00025316482,0.008906183,0.0016594664],"about_ca_topic_score_codex":0.000007785419,"about_ca_topic_score_gemma":9.347297e-8,"teacher_disagreement_score":0.79029506,"about_ca_system_score_codex":0.000048764283,"about_ca_system_score_gemma":0.00005222394,"threshold_uncertainty_score":0.81621623},"labels":[],"label_agreement":null},{"id":"W3047622325","doi":"10.1016/j.jcct.2020.06.150","title":"Interscan Reproducibility Of Coronary Plaque Volume Measurements Using Ultra-high-resolution Ct","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Reproducibility; Radiology; Nuclear medicine; Volume (thermodynamics)","score_opus":0.037582336485172375,"score_gpt":0.251757202103821,"score_spread":0.21417486561864865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047622325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89065605,0.019195369,0.088011704,0.0005409321,0.0010368142,0.0003416358,0.000019314019,0.00004771836,0.00015043761],"genre_scores_gemma":[0.9906295,0.000108618646,0.008323212,0.00020028425,0.0006964969,8.737888e-7,0.000011114888,0.00002898846,9.0430166e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686354,0.0003348815,0.00086259027,0.0004995529,0.0011965623,0.00024288418],"domain_scores_gemma":[0.9971722,0.000065918495,0.00042395943,0.00096063537,0.0010551313,0.0003221737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021686233,0.00022041009,0.0011737312,0.0003494116,0.000055096563,0.00002220955,0.00017585447,0.000059583374,0.000008437223],"category_scores_gemma":[0.0006742286,0.00020548199,0.0029896197,0.0008049433,0.00014740054,0.00014460958,0.000051946845,0.0004325473,0.0000016660173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015431115,0.00065866706,0.8062197,0.00080942904,0.026051013,0.0013852445,0.00055395276,0.12727123,0.0107102925,0.000010741166,0.0068769185,0.017909668],"study_design_scores_gemma":[0.013692757,0.0019444835,0.89835227,0.0017381564,0.012562379,0.0065483665,0.00035349868,0.0064197793,0.046812724,0.00007668255,0.010811911,0.0006869739],"about_ca_topic_score_codex":0.00009687754,"about_ca_topic_score_gemma":3.4576365e-7,"teacher_disagreement_score":0.12085146,"about_ca_system_score_codex":0.00009720036,"about_ca_system_score_gemma":0.00021031266,"threshold_uncertainty_score":0.8379313},"labels":[],"label_agreement":null},{"id":"W3049221429","doi":"10.1016/j.jcct.2020.08.003","title":"2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography: A Statement from the Society of Cardiovascular Computed Tomography","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"British Heart Foundation; Boston Scientific Corporation; Henry Ford Health System; Edwards Lifesciences; Radiological Society of North America; Cancer Prevention and Research Institute of Texas; Pfizer; George Washington University; Astellas Pharma US; Cardiovascular Institute of Philadelphia; National Institutes of Health; Medtronic; GE Healthcare; Abbott Laboratories","keywords":"Medicine; Guideline; Fractional flow reserve; Coronary artery disease; Computed tomography; Radiology; Curriculum; Medical physics; Medical education; Cardiology; Pathology; Coronary angiography; Myocardial infarction","score_opus":0.0325282015883969,"score_gpt":0.2720882568161225,"score_spread":0.23956005522772558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049221429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18763386,0.25924867,0.54167736,0.0054879826,0.0015057762,0.003384777,0.00081861863,0.00016746676,0.00007545736],"genre_scores_gemma":[0.9043472,0.0078010987,0.08340022,0.0018975612,0.0017386872,0.000097997334,0.00057892315,0.00013686159,0.0000014717864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918572,0.0012893154,0.0026026617,0.0013201606,0.0019945095,0.00093616423],"domain_scores_gemma":[0.9937736,0.0013508998,0.001088147,0.0011563264,0.00188732,0.00074370997],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.004613101,0.0009543775,0.004843957,0.0008893875,0.0004161155,0.00011461637,0.00050511817,0.0005086928,0.0000058318637],"category_scores_gemma":[0.0006067059,0.0007769791,0.0126607735,0.0023339393,0.00081637065,0.00046306307,0.00033055973,0.0014448158,4.9666494e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033848204,0.0006428644,0.021568922,0.0010599258,0.320346,0.0018148967,0.011257384,0.53339434,0.0008660968,0.00013351568,0.025295509,0.0802357],"study_design_scores_gemma":[0.10672936,0.0062767914,0.22259547,0.0028609177,0.059526954,0.01016123,0.020747058,0.033151977,0.0011688828,0.0010932437,0.5320173,0.0036708505],"about_ca_topic_score_codex":0.0004431513,"about_ca_topic_score_gemma":0.000008361046,"teacher_disagreement_score":0.7167133,"about_ca_system_score_codex":0.00013560709,"about_ca_system_score_gemma":0.0005851284,"threshold_uncertainty_score":0.9994681},"labels":[],"label_agreement":null},{"id":"W3087054929","doi":"10.1016/j.jcct.2020.09.004","title":"Ethnic differences in coronary anatomy, left ventricular mass and CT-derived fractional flow reserve","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; National Heart Foundation of Australia; Bayer; Heart Foundation","keywords":"Medicine; Fractional flow reserve; Cardiology; Internal medicine; Coronary artery disease; Stenosis; Dominance (genetics); Body surface area; Diabetes mellitus; Coronary anatomy; Myocardial infarction; Coronary angiography; Endocrinology","score_opus":0.02090095241631606,"score_gpt":0.24843328894108618,"score_spread":0.22753233652477012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087054929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87290126,0.10199232,0.022001373,0.0022082361,0.0005064162,0.00024461822,0.000014988628,0.000039244766,0.00009155396],"genre_scores_gemma":[0.9935503,0.0013740401,0.004061113,0.00045336565,0.0005225659,0.0000017932814,0.000013864564,0.000021646154,0.0000013016763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977891,0.0002511084,0.00051299005,0.0002684145,0.0009224533,0.00025594127],"domain_scores_gemma":[0.9986469,0.00023919158,0.00016877198,0.00023843235,0.0003286987,0.00037801644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055413926,0.00021615408,0.0009863285,0.0005027743,0.000053106687,0.000043745924,0.00013304414,0.0000786752,0.000015718266],"category_scores_gemma":[0.00023613287,0.00018861529,0.0016090288,0.0007460632,0.00011200348,0.00015105946,0.000064505024,0.0007081922,0.0000022513568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044665983,0.00019505384,0.94756216,0.00023092794,0.007707502,0.017578691,0.00029296658,0.009054577,0.00021044027,0.000013773874,0.0027247933,0.013982435],"study_design_scores_gemma":[0.0055760066,0.0003595456,0.9726463,0.00031211096,0.0012411189,0.0046870196,0.00016194642,0.0067387605,0.00028580276,0.00012922875,0.007629419,0.00023275906],"about_ca_topic_score_codex":0.000019808927,"about_ca_topic_score_gemma":8.4073787e-7,"teacher_disagreement_score":0.120649055,"about_ca_system_score_codex":0.0000391295,"about_ca_system_score_gemma":0.0001234629,"threshold_uncertainty_score":0.7691508},"labels":[],"label_agreement":null},{"id":"W3087672438","doi":"10.1016/j.jcct.2020.09.005","title":"Feasibility of coronary CT angiography for guidance of CABG","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Coronary angiography; Radiology; Angiography; Cardiology; Internal medicine; Myocardial infarction","score_opus":0.027047178036513752,"score_gpt":0.26531231762584145,"score_spread":0.2382651395893277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087672438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67853606,0.16817062,0.15044215,0.0005250317,0.000787852,0.0009299163,0.00014433976,0.00004903979,0.00041496212],"genre_scores_gemma":[0.97985166,0.00023752244,0.019296817,0.00018188299,0.00039195007,0.0000028889144,0.000010539629,0.000026075344,6.695718e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977558,0.00013000776,0.00089194096,0.00022585102,0.00078442594,0.00021195898],"domain_scores_gemma":[0.9970873,0.000270907,0.00049342256,0.00048503824,0.0013882354,0.00027507052],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00086115097,0.00019776453,0.0014538743,0.00045394385,0.000031049167,0.000009092792,0.00019721339,0.000057160334,0.0000033318395],"category_scores_gemma":[0.00035744504,0.00017593017,0.0099819675,0.0011651809,0.00019714593,0.000082625935,0.000046886962,0.00022482747,3.047651e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001292536,0.0004561475,0.9506383,0.0014363638,0.019407578,0.00034202522,0.00023001421,0.006531889,0.00090363564,0.00007583719,0.0072123487,0.0114733325],"study_design_scores_gemma":[0.012489755,0.0019427517,0.95221275,0.0007264617,0.007914864,0.001033003,0.00013159733,0.00061594305,0.0068609095,0.00022510115,0.015545252,0.00030161173],"about_ca_topic_score_codex":0.00001173577,"about_ca_topic_score_gemma":1.2520277e-7,"teacher_disagreement_score":0.30131558,"about_ca_system_score_codex":0.000017212773,"about_ca_system_score_gemma":0.0001519337,"threshold_uncertainty_score":0.9999328},"labels":[],"label_agreement":null},{"id":"W3087695759","doi":"10.1016/j.jcct.2020.09.007","title":"Prognostic value of coronary computed tomography angiography in patients with prior percutaneous coronary intervention","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"Institute for Clinical Evaluative Sciences","keywords":"Medicine; Mace; Conventional PCI; Percutaneous coronary intervention; Cardiology; Coronary artery disease; Internal medicine; Myocardial infarction; Proportional hazards model; Radiology","score_opus":0.0064123079004472176,"score_gpt":0.20499232453085153,"score_spread":0.1985800166304043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087695759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603444,0.026275141,0.01162045,0.00013893768,0.0004288348,0.0009782637,0.000039910912,0.00006877369,0.000105320236],"genre_scores_gemma":[0.990496,0.00008486556,0.008826911,0.00022618863,0.00021010166,0.0000051652423,0.0000836225,0.00006661694,5.658818e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960671,0.00037103385,0.0011971052,0.00044791473,0.0014916477,0.00042517917],"domain_scores_gemma":[0.99702364,0.0002378743,0.0005816229,0.0004986972,0.0012039347,0.000454241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000513411,0.00043809038,0.0016781358,0.0016777146,0.000063035906,0.000041600655,0.00029945144,0.00016478769,0.000012334952],"category_scores_gemma":[0.00011287503,0.00037768797,0.005720392,0.0030046487,0.00026338367,0.00020975899,0.00010671054,0.00066558406,0.000002932761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002087119,0.0012358377,0.9640841,0.00047257027,0.010294571,0.0018329906,0.00031196937,0.0090681845,0.00001875432,0.000009665424,0.0004620427,0.010122209],"study_design_scores_gemma":[0.011202229,0.0038847576,0.975867,0.0015205273,0.00403653,0.0017269616,0.0000986162,0.0006760837,0.00005202734,0.000023278622,0.00055613805,0.00035588478],"about_ca_topic_score_codex":0.000024231691,"about_ca_topic_score_gemma":6.3221955e-7,"teacher_disagreement_score":0.030151594,"about_ca_system_score_codex":0.000048756978,"about_ca_system_score_gemma":0.00012729199,"threshold_uncertainty_score":0.9998675},"labels":[],"label_agreement":null},{"id":"W3089261057","doi":"10.1016/j.jcct.2020.08.006","title":"The clinical utility of FFRCT stratified by age","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"GE Healthcare; National Heart, Lung, and Blood Institute; Medtronic; Siemens; Edwards Lifesciences; Sanofi; Bayer HealthCare; Janssen Pharmaceuticals; Bayer","keywords":"Medicine; Internal medicine","score_opus":0.03970230941959383,"score_gpt":0.3010570574607677,"score_spread":0.26135474804117387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089261057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78495306,0.10660476,0.10188262,0.002704411,0.0014014911,0.00058964017,0.000047373233,0.000045484714,0.0017711833],"genre_scores_gemma":[0.9968072,0.00116483,0.0014526183,0.00017510323,0.00037634233,8.819343e-7,0.0000068652134,0.000010754554,0.000005389484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997732,0.0002869877,0.0010573108,0.000142861,0.0006370003,0.00014387172],"domain_scores_gemma":[0.9982342,0.00035763733,0.00032923062,0.00038720132,0.00043687323,0.0002548395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012351801,0.00012218574,0.00073670346,0.000075343676,0.000063520776,0.000027429318,0.00022868774,0.00008477733,0.000024651741],"category_scores_gemma":[0.00031213072,0.000080720594,0.0046108086,0.00043561138,0.00019613354,0.00005168563,0.000050458217,0.00044798478,0.0000014804646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022760017,0.0020216396,0.10974274,0.00047021415,0.042180877,0.0021242972,0.00026552647,0.00055957277,0.00027019612,0.00036831852,0.23276928,0.60695136],"study_design_scores_gemma":[0.008604291,0.0042182505,0.46006414,0.00040085873,0.004363492,0.00051784294,0.00022305734,0.001634397,0.0007599831,0.00043785913,0.5185281,0.00024770317],"about_ca_topic_score_codex":0.000004949739,"about_ca_topic_score_gemma":8.102256e-7,"teacher_disagreement_score":0.60670364,"about_ca_system_score_codex":0.000005723675,"about_ca_system_score_gemma":0.00008955333,"threshold_uncertainty_score":0.46501237},"labels":[],"label_agreement":null},{"id":"W3090544533","doi":"10.1016/j.jcct.2020.09.009","title":"Impact of age on coronary artery plaque progression and clinical outcome: A PARADIGM substudy","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Medtronic; Dalio Foundation; National Research Foundation of Korea; National Institutes of Health; Michael Wolk Heart Foundation; Ministry of Science, ICT and Future Planning","keywords":"Medicine; Cardiology; Internal medicine","score_opus":0.03453567300552321,"score_gpt":0.3340867413317631,"score_spread":0.2995510683262399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090544533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820689,0.0134668015,0.0031865656,0.00038963946,0.00037707554,0.00036022885,0.000011297337,0.000033874123,0.00010561695],"genre_scores_gemma":[0.99712235,0.0005721362,0.0014621784,0.00024334756,0.0005631134,0.0000014332342,0.000007669202,0.000027296577,4.5956648e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748987,0.0002892978,0.0009554981,0.0002501049,0.00080095977,0.00021427924],"domain_scores_gemma":[0.9981785,0.00036035135,0.00035463055,0.00036541006,0.00023348571,0.0005076662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008573497,0.00023562778,0.0015216795,0.00032094173,0.000039598443,0.000029520352,0.00011669725,0.00012181096,0.0000031262298],"category_scores_gemma":[0.00024867713,0.00016923688,0.004822846,0.00048005139,0.00017230987,0.00007598272,0.000055985856,0.00064259087,0.0000017270316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011742172,0.0005299419,0.96122146,0.00009453585,0.011775873,0.0045039216,0.00014029887,0.00087184634,0.000022190932,0.000009065323,0.0017302837,0.01792635],"study_design_scores_gemma":[0.007370986,0.004428913,0.98165,0.00035618592,0.002550518,0.0019641402,0.000023330533,0.00029385104,0.00003712801,0.000021864778,0.0011496061,0.00015349183],"about_ca_topic_score_codex":0.0000037746959,"about_ca_topic_score_gemma":9.244443e-8,"teacher_disagreement_score":0.020428509,"about_ca_system_score_codex":0.000025203022,"about_ca_system_score_gemma":0.000114624876,"threshold_uncertainty_score":0.690128},"labels":[],"label_agreement":null},{"id":"W3092367519","doi":"10.1016/j.jcct.2020.09.006","title":"Effectiveness of point-of-care oral ivabradine for cardiac computed tomography","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Heart rate and cardiovascular health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Siemens Healthineers","keywords":"Ivabradine; Medicine; Metoprolol; Bradycardia; Heart rate; Cardiology; Internal medicine; Coronary artery disease; Bisoprolol; Anesthesia; Heart failure; Blood pressure","score_opus":0.015369501460191884,"score_gpt":0.2579445315658227,"score_spread":0.2425750301056308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092367519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58564025,0.1644061,0.24429485,0.00034064744,0.0016378305,0.003116836,0.00016230448,0.00012195301,0.0002792355],"genre_scores_gemma":[0.98251075,0.0006437135,0.015747352,0.00014081731,0.0007813267,0.000015403723,0.00007385097,0.000086233165,5.3707316e-7],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.9948112,0.0011239265,0.0014747792,0.00049993617,0.0015613389,0.0005288306],"domain_scores_gemma":[0.99467814,0.00037915615,0.00058951916,0.000827654,0.0028210965,0.00070445135],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0029273657,0.00047084506,0.004008072,0.0010144921,0.000095386014,0.000025760255,0.00037757924,0.00029102052,0.0000059475706],"category_scores_gemma":[0.00015232935,0.00041294468,0.01456952,0.0026337476,0.00022033873,0.00020568712,0.00009341706,0.00058237364,0.0000013985513],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025213992,0.002679424,0.11904138,0.09671981,0.3765396,0.0019108413,0.005877149,0.052971873,0.033955116,0.0013457413,0.008395529,0.27534956],"study_design_scores_gemma":[0.0748934,0.029560473,0.45524204,0.010555563,0.044040445,0.0021811763,0.0021370028,0.0037865366,0.18920437,0.00047026348,0.1852521,0.0026766376],"about_ca_topic_score_codex":0.000025905636,"about_ca_topic_score_gemma":2.5911766e-7,"teacher_disagreement_score":0.39687052,"about_ca_system_score_codex":0.00005942356,"about_ca_system_score_gemma":0.00044583008,"threshold_uncertainty_score":0.9998322},"labels":[],"label_agreement":null},{"id":"W3092524518","doi":"10.1016/j.jcct.2020.10.001","title":"Early Effects of Transcatheter Edge-to-Edge Leaflet Repair for Tricuspid Regurgitation: First-in-Human Experience with Computed Tomography","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Abbott Vascular; Circle Cardiovascular Imaging; Siemens Medical Solutions USA; Boston Scientific Corporation; Edwards Lifesciences; Medtronic","keywords":"MitraClip; Medicine; Mitral regurgitation; Cardiology; Regurgitation (circulation); Mitral annulus; Internal medicine; Annulus (botany); Radiology; Diastole","score_opus":0.01102307192696813,"score_gpt":0.262192160669894,"score_spread":0.2511690887429259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092524518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94483554,0.013652633,0.038947206,0.00023113229,0.0003556312,0.001807791,0.000023967383,0.000080666236,0.00006540822],"genre_scores_gemma":[0.992979,0.00006587234,0.0061384044,0.00024257578,0.00041912877,0.00007444583,0.000021100353,0.00005760743,0.0000018578238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971498,0.00015363625,0.00085204944,0.0004934215,0.0009619835,0.00038910145],"domain_scores_gemma":[0.99755627,0.00018838639,0.00032300656,0.00054948643,0.0007872638,0.0005956096],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.000293665,0.00039303058,0.0016412182,0.0009553571,0.00010069845,0.000039644023,0.00023850339,0.00011704857,0.0000032782998],"category_scores_gemma":[0.000046004458,0.0003160031,0.012786059,0.0022722946,0.000119803815,0.00018885163,0.000032936867,0.00024474697,9.315375e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014220053,0.004659984,0.76157314,0.007168194,0.14159162,0.0028996575,0.015239248,0.022623494,0.0009913408,0.00019740002,0.0036493882,0.025186453],"study_design_scores_gemma":[0.029013868,0.009767685,0.9396863,0.0017296117,0.008940193,0.00016001392,0.00019922812,0.00037290194,0.00229814,0.000040560713,0.0072200317,0.00057148543],"about_ca_topic_score_codex":0.00001678521,"about_ca_topic_score_gemma":7.118042e-7,"teacher_disagreement_score":0.17811312,"about_ca_system_score_codex":0.00004513211,"about_ca_system_score_gemma":0.00007694545,"threshold_uncertainty_score":0.9999292},"labels":[],"label_agreement":null},{"id":"W3101525376","doi":"10.1016/j.jcct.2020.11.004","title":"Use of cardiac CT amidst the COVID-19 pandemic and beyond: North American perspective","year":2020,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Pandemic; Chest pain; Coronavirus disease 2019 (COVID-19); Intracardiac injection; Myocardial infarction; Intensive care medicine; Perspective (graphical); valvular heart disease; Medical emergency; Cardiology; Radiology; Internal medicine; Disease; Infectious disease (medical specialty); Artificial intelligence","score_opus":0.04343638437739714,"score_gpt":0.30601143257598495,"score_spread":0.2625750481985878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101525376","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031376837,0.99601805,0.001656869,0.00025273155,0.00059123687,0.00082514685,0.00020902276,0.000058364145,0.00007482208],"genre_scores_gemma":[0.0013258352,0.9958885,0.0011200259,0.0004753198,0.0010543112,0.000010964409,0.000037149435,0.000085312284,0.0000025875806],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955579,0.0010818691,0.0012509701,0.0004806006,0.0012855213,0.00034314263],"domain_scores_gemma":[0.9944443,0.0016849864,0.0013755357,0.0009109166,0.00085439463,0.0007298688],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.001128802,0.0006130785,0.006244481,0.00095072534,0.00011951258,0.000094778195,0.00032129773,0.000097517426,0.0000012249255],"category_scores_gemma":[0.0012792707,0.00040218703,0.012690802,0.0024281,0.0008108305,0.00010084397,0.00018140247,0.0014820512,0.0000016217615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007891659,0.000095924646,0.023926243,0.0046570594,0.06364536,0.0013354183,0.00042856467,0.00034204725,1.12675025e-7,0.000038025682,0.00661656,0.8988358],"study_design_scores_gemma":[0.0006813837,0.00032013343,0.0040595047,0.0013550156,0.037694346,0.007104926,0.00022295829,0.000009958289,2.5891697e-7,0.0000101986525,0.9482058,0.0003354603],"about_ca_topic_score_codex":0.00029094514,"about_ca_topic_score_gemma":0.000003798103,"teacher_disagreement_score":0.9415893,"about_ca_system_score_codex":0.0003135297,"about_ca_system_score_gemma":0.0011419436,"threshold_uncertainty_score":0.999843},"labels":[],"label_agreement":null},{"id":"W3103619990","doi":"10.1016/j.jcct.2020.11.003","title":"Coronary sinus to left atrium fistula on computed tomography angiography: Differentiation from unroofed coronary sinus with literature review","year":2020,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Vascular anomalies and interventions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Victoria Hospital; London Health Sciences Centre","funders":"","keywords":"Medicine; Coronary sinus; Left atrium; Fistula; Radiology; Cardiology; Coronary angiography; Computed tomography angiography; Internal medicine; Angiography; Right atrium; Sinus (botany); Computed tomography; Myocardial infarction","score_opus":0.01585360004996447,"score_gpt":0.25796661510551466,"score_spread":0.2421130150555502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103619990","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019622326,0.98596424,0.008042068,0.00034746627,0.0013358888,0.0031801716,0.00058167015,0.00016067163,0.00019162006],"genre_scores_gemma":[0.0017343898,0.9874797,0.0052046515,0.0010740492,0.0013240593,0.000047551417,0.0028426847,0.00027135215,0.000021591637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.991198,0.001370102,0.0027619826,0.0013656719,0.0025277454,0.00077647215],"domain_scores_gemma":[0.99338007,0.00023567233,0.0016808925,0.0019716017,0.0015752059,0.0011565505],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007299972,0.0017145124,0.008457507,0.0033294328,0.0002679746,0.0002777848,0.0010466261,0.0007361988,0.00013247995],"category_scores_gemma":[0.00005489108,0.0012679915,0.040189512,0.0058766427,0.00017496567,0.00028765382,0.0002703936,0.0023115226,0.000042525953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011388868,0.0018079476,0.0018233384,0.057554986,0.22585618,0.02342505,0.00019515886,0.0004902865,0.0000017803878,0.000030793766,0.039117094,0.6485585],"study_design_scores_gemma":[0.0028228955,0.0030420776,0.01616136,0.20140012,0.04539026,0.012121129,0.000011076421,0.000022418297,0.0000016161919,0.000012974871,0.7180202,0.0009938657],"about_ca_topic_score_codex":0.00001918073,"about_ca_topic_score_gemma":0.0000042529637,"teacher_disagreement_score":0.6789031,"about_ca_system_score_codex":0.0002029932,"about_ca_system_score_gemma":0.0003608282,"threshold_uncertainty_score":0.99999017},"labels":[],"label_agreement":null},{"id":"W3105079555","doi":"10.1016/j.jcct.2020.11.002","title":"Society of Cardiovascular Computed Tomography / North American Society of Cardiovascular Imaging – Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque","year":2020,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":275,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"British Heart Foundation","keywords":"Medicine; Coronary atherosclerosis; Radiology; Appropriateness criteria; Coronary artery disease; Vulnerable plaque; Fractional flow reserve; Stenosis; Computed tomographic angiography; Cardiology; Internal medicine; Angiography; Coronary angiography; Myocardial infarction","score_opus":0.020371930693539275,"score_gpt":0.2645585698258231,"score_spread":0.24418663913228383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105079555","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018829068,0.9720216,0.022013012,0.00012857978,0.0012273963,0.0021968647,0.00031413767,0.000146757,0.00006876743],"genre_scores_gemma":[0.03296646,0.9465068,0.01837534,0.0002517077,0.0012651823,0.00004433123,0.0001995969,0.00038917558,0.0000013757572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9854898,0.0018831084,0.004536257,0.0015931578,0.005304731,0.0011929335],"domain_scores_gemma":[0.9881299,0.0011589963,0.0036351392,0.0035014441,0.0026672953,0.00090724],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow","metaepi_broad"],"category_scores_codex":[0.0032955597,0.002025207,0.017536538,0.0017132012,0.00021312338,0.00009355941,0.0012074857,0.00028627075,0.0000058513756],"category_scores_gemma":[0.0001456566,0.0018212781,0.105172396,0.0054288246,0.0019036492,0.00018772663,0.00054394006,0.0024258012,0.000002961595],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019029107,0.00071369857,0.006666709,0.019406633,0.3235722,0.0016422559,0.0004754902,0.026416719,0.000007179583,0.0000064107735,0.0074359463,0.6134665],"study_design_scores_gemma":[0.00856139,0.0008819477,0.005635243,0.028183093,0.089355014,0.0059641222,0.00053957687,0.0011663663,0.00017690728,0.000010168485,0.8577352,0.0017909535],"about_ca_topic_score_codex":0.00047086156,"about_ca_topic_score_gemma":5.6637356e-7,"teacher_disagreement_score":0.8502993,"about_ca_system_score_codex":0.00043481414,"about_ca_system_score_gemma":0.001337024,"threshold_uncertainty_score":0.99987566},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.021653474257460604,"score_gpt":0.2716432953137939,"score_spread":0.24998982105633327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108924721","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000295116,0.9855009,0.0071062422,0.00026554443,0.0034398576,0.0028476627,0.00023262395,0.00012655539,0.00018555042],"genre_scores_gemma":[0.0084896,0.97567165,0.012912377,0.00027063602,0.0020412905,0.00005333583,0.0002467981,0.0003100335,0.000004259071],"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","domain_scores_codex":[0.98469687,0.0022487007,0.0050362977,0.0015536231,0.005412786,0.0010517352],"domain_scores_gemma":[0.9862793,0.0012415445,0.0041158227,0.004321663,0.0031178137,0.0009238722],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0034768607,0.0019518969,0.013625915,0.0032850695,0.0002876149,0.000118360724,0.0015174223,0.0010271446,0.000014382066],"category_scores_gemma":[0.00025814827,0.0014522801,0.14072531,0.010768282,0.0014502777,0.00012652138,0.00053690665,0.0028046556,0.0000031774073],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038568894,0.0014136251,0.0026240211,0.016489105,0.4759526,0.00938938,0.00032704053,0.0066018975,0.000006335829,0.000046932822,0.031822246,0.45494112],"study_design_scores_gemma":[0.005685487,0.0011357359,0.0033381034,0.03484604,0.07097561,0.01899173,0.000101865764,0.00011709192,0.00007625208,0.000045660534,0.8634608,0.0012256178],"about_ca_topic_score_codex":0.00013274906,"about_ca_topic_score_gemma":5.5556666e-7,"teacher_disagreement_score":0.8316386,"about_ca_system_score_codex":0.00020894028,"about_ca_system_score_gemma":0.0015412185,"threshold_uncertainty_score":0.9994959},"labels":[],"label_agreement":null},{"id":"W3110138197","doi":"10.1016/j.jcct.2020.11.007","title":"Training and competency in cardiovascular computed tomography: Collaborative paradigm for the rising tide","year":2020,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; University of British Columbia; British Heart Foundation; Edwards Lifesciences; Medtronic; Abbott Laboratories; American Heart Association","keywords":"Medicine; Coronary artery disease; Fractional flow reserve; Radiology; Internal medicine; Cardiology; Coronary angiography; Medical physics; Myocardial infarction","score_opus":0.019425785179298143,"score_gpt":0.24378237313326725,"score_spread":0.22435658795396912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110138197","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011847329,0.6970805,0.14836988,0.14473991,0.004043147,0.0037090792,0.00034850094,0.00019477689,0.00032948842],"genre_scores_gemma":[0.37901974,0.022666618,0.110997215,0.4211604,0.06277771,0.0004010254,0.0014709927,0.0014835472,0.000022743912],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99355364,0.000892692,0.0016123514,0.0009111569,0.0021253428,0.0009048343],"domain_scores_gemma":[0.9941127,0.0022594328,0.0007600541,0.0012277379,0.0012605645,0.0003795176],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0021171495,0.00096855324,0.004817826,0.0018741934,0.00032768917,0.00031539475,0.00056379574,0.0006374946,0.0000023157693],"category_scores_gemma":[0.0004247791,0.0007698558,0.011383407,0.0029862255,0.00052816584,0.00020018585,0.00015310249,0.0038128342,0.0000014067846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007832166,0.0002800906,0.009605264,0.0031548743,0.22079179,0.027798358,0.0040880824,0.04173061,0.000016394923,0.00010663126,0.6101388,0.0815059],"study_design_scores_gemma":[0.009162357,0.00068376726,0.010950704,0.002302026,0.019927535,0.003901082,0.00047430996,0.002760598,0.000035053257,0.00053724385,0.948331,0.0009343324],"about_ca_topic_score_codex":0.000071173745,"about_ca_topic_score_gemma":0.0000025329864,"teacher_disagreement_score":0.67441386,"about_ca_system_score_codex":0.00012802274,"about_ca_system_score_gemma":0.00079156295,"threshold_uncertainty_score":0.99947524},"labels":[],"label_agreement":null},{"id":"W3115346680","doi":"10.1016/j.jcct.2020.12.007","title":"Progression of whole-heart Atherosclerosis by coronary CT and major adverse cardiovascular events","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"GE Healthcare; Dalio Foundation; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; Michael Wolk Heart Foundation; National Institutes of Health","keywords":"Mace; Medicine; Cardiology; Internal medicine; Myocardial infarction; Population; Coronary atherosclerosis; Atheroma; Coronary artery disease; Percutaneous coronary intervention","score_opus":0.008580102183987524,"score_gpt":0.23290342922157778,"score_spread":0.22432332703759025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115346680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77049935,0.22233298,0.0058332924,0.00020549937,0.00064715475,0.00029731044,0.00004305266,0.000034849436,0.00010652086],"genre_scores_gemma":[0.9887409,0.0023013738,0.008441263,0.00013245559,0.00028010923,0.0000051377474,0.000035531168,0.000051776136,0.000011441994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967031,0.00037096246,0.00070528366,0.00035920643,0.001548233,0.000313245],"domain_scores_gemma":[0.99757457,0.00013235128,0.0002490149,0.0007695671,0.0009202489,0.00035427237],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011186776,0.00029231963,0.0016197518,0.0003542098,0.000087232635,0.000023024731,0.00012487457,0.000090138936,0.0000075161215],"category_scores_gemma":[0.00015283462,0.00025948894,0.0058101043,0.00077777007,0.00016140132,0.00015343472,0.00012393326,0.0004318937,0.0000024921276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032585626,0.0010926413,0.8606907,0.00086120487,0.054448582,0.0029109514,0.00017690375,0.002313584,0.007574636,0.000009082973,0.012997738,0.05659809],"study_design_scores_gemma":[0.014291131,0.0007153788,0.79752856,0.002505013,0.012994095,0.014645786,0.00024343035,0.00010855988,0.018322982,0.000052423107,0.13809556,0.0004970605],"about_ca_topic_score_codex":0.000014032878,"about_ca_topic_score_gemma":9.8132105e-8,"teacher_disagreement_score":0.22003162,"about_ca_system_score_codex":0.000040666364,"about_ca_system_score_gemma":0.00017623228,"threshold_uncertainty_score":0.99998575},"labels":[],"label_agreement":null},{"id":"W3125321538","doi":"10.1016/j.jcct.2021.01.001","title":"Prosthesis-patient mismatch defined by cardiac computed tomography versus echocardiography after transcatheter aortic valve replacement","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Minneapolis Heart Institute Foundation; Edwards Lifesciences","keywords":"Medicine; Valve replacement; Cardiology; Ventricular outflow tract; Internal medicine; Body surface area; Body mass index; Prosthesis; Aortic valve; Computed tomography angiography; Radiology; Angiography; Surgery; Stenosis","score_opus":0.007824648239774037,"score_gpt":0.2404652847373047,"score_spread":0.23264063649753064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125321538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.802741,0.18809648,0.0043618814,0.00019855404,0.002679573,0.0011354794,0.00024052338,0.00013966074,0.0004068494],"genre_scores_gemma":[0.99211454,0.0019288849,0.004702675,0.00030388802,0.00047826234,0.000101827274,0.0002315394,0.00013062521,0.000007777427],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.9936403,0.0006780146,0.0014444327,0.0009522781,0.0024285663,0.0008564321],"domain_scores_gemma":[0.99521375,0.0001735467,0.0004848345,0.0016290447,0.0015648075,0.00093402015],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00065161823,0.0008286306,0.0025665842,0.0012146515,0.00018391243,0.00018019094,0.0002635217,0.0002984891,0.0000440539],"category_scores_gemma":[0.00004004594,0.0007383833,0.054292757,0.0027968935,0.00017951327,0.00023937512,0.00011075021,0.00060820684,0.000011419945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009543907,0.0050463853,0.41659984,0.0007810583,0.4981726,0.0010745613,0.00075496896,0.0014454694,0.00040256008,0.00002044262,0.012648514,0.053509668],"study_design_scores_gemma":[0.038776312,0.005970461,0.75429755,0.0016468505,0.099788666,0.0009075042,0.00061483635,0.00016497799,0.0069792285,0.00015162841,0.08852754,0.0021744259],"about_ca_topic_score_codex":0.000020301204,"about_ca_topic_score_gemma":2.9130138e-7,"teacher_disagreement_score":0.39838395,"about_ca_system_score_codex":0.00015841571,"about_ca_system_score_gemma":0.00026930775,"threshold_uncertainty_score":0.9995067},"labels":[],"label_agreement":null},{"id":"W3132149957","doi":"10.1016/j.jcct.2021.02.004","title":"The Journal of Cardiovascular Computed Tomography: 2020 Year in review","year":2021,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"NIHR Cambridge Biomedical Research Centre; GE Healthcare; Department of Health and Social Care; National Institute for Health and Care Research; Cedars-Sinai Medical Center; National Institutes of Health; Boston Scientific Corporation; Edwards Lifesciences; Medtronic; Abbott Laboratories; American Heart Association","keywords":"Editorial board; Medicine; Coronary artery disease; Coronavirus disease 2019 (COVID-19); Pandemic; Computed tomography; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Disease; Coronavirus Infections; Institutional review board; Medical physics; Library science; Cardiology; Internal medicine; Pathology; Radiology; Infectious disease (medical specialty); Surgery","score_opus":0.004307015794167703,"score_gpt":0.20335054507846081,"score_spread":0.1990435292842931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132149957","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010363353,0.6825983,0.04445186,0.00003281596,0.2723027,0.00031149355,0.00003882084,0.000049047223,0.000111371475],"genre_scores_gemma":[0.002186516,0.6354671,0.006263446,0.00004472004,0.35568094,0.00000938242,0.000062098734,0.00027805497,0.000007750964],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99013716,0.0013405905,0.0030131505,0.0004408589,0.0042000157,0.000868217],"domain_scores_gemma":[0.99286485,0.0009230349,0.0011558629,0.0016293172,0.0030287101,0.000398203],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0064970283,0.0009723496,0.004440594,0.0013654304,0.00019298088,0.00021901219,0.0019348366,0.00070074754,0.00001008187],"category_scores_gemma":[0.00046060668,0.00079582684,0.014198214,0.0037995295,0.00021816637,0.00050222845,0.0002126837,0.0047793146,0.0000033281858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007166875,0.000074394775,0.000038803693,0.0023592417,0.04384665,0.0020890022,0.00008673318,0.316635,0.0000073539704,0.0000042025954,0.60742736,0.027359582],"study_design_scores_gemma":[0.0027606084,0.00015910335,0.00010687671,0.010665072,0.006400006,0.0008408561,0.000093842915,0.00052455463,0.000060687566,0.00008176141,0.9775454,0.00076124346],"about_ca_topic_score_codex":0.000015690415,"about_ca_topic_score_gemma":0.0000050664303,"teacher_disagreement_score":0.37011802,"about_ca_system_score_codex":0.00022181476,"about_ca_system_score_gemma":0.00049694773,"threshold_uncertainty_score":0.99944925},"labels":[],"label_agreement":null},{"id":"W3138007539","doi":"10.1016/j.jcct.2021.03.007","title":"The accuracy of coronary CT angiography in patients with coronary calcium score above 1000 Agatston Units: Comparison with quantitative coronary angiography","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institutes of Health; National Heart Foundation of New Zealand; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; National Heart, Lung, and Blood Institute; Doris Duke Charitable Foundation","keywords":"Medicine; Stenosis; Radiology; Angiography; Predictive value; Agatston score; Cardiology; Coronary Calcium Score; Coronary angiography; Internal medicine; Predictive value of tests; Coronary artery disease; Coronary artery calcium; Myocardial infarction","score_opus":0.016125906796764407,"score_gpt":0.2505584474084825,"score_spread":0.2344325406117181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138007539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86989206,0.124168605,0.0042049754,0.0001422236,0.00049775385,0.0007153813,0.00008718176,0.000043154465,0.0002486695],"genre_scores_gemma":[0.9948168,0.0008063672,0.0038526934,0.00014824355,0.000113187256,0.000012022173,0.00016706952,0.00008072416,0.0000029309915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950267,0.000637178,0.0012066194,0.0004971308,0.0020294616,0.000602882],"domain_scores_gemma":[0.99296606,0.0012281975,0.00088252063,0.0010203362,0.0035442053,0.00035870113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008412493,0.0005520401,0.001894668,0.0015281781,0.00020916933,0.00007807246,0.00036454547,0.00011670233,0.000005589785],"category_scores_gemma":[0.00015744993,0.0003767513,0.0041552573,0.006031652,0.0007578483,0.00033491632,0.00011764087,0.0009158293,0.0000010748872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036040102,0.0009926956,0.9511439,0.00014130436,0.021811476,0.0029511205,0.00034003658,0.007840478,0.000011636699,0.00006317245,0.0012407457,0.009859392],"study_design_scores_gemma":[0.012516509,0.002979864,0.97031814,0.0016837748,0.0046142857,0.0016311673,0.0011488463,0.00008000181,0.00029438327,0.000031333813,0.0042667584,0.0004349461],"about_ca_topic_score_codex":0.00008423075,"about_ca_topic_score_gemma":0.000019209101,"teacher_disagreement_score":0.124924704,"about_ca_system_score_codex":0.000075451564,"about_ca_system_score_gemma":0.0006224483,"threshold_uncertainty_score":0.99986845},"labels":[],"label_agreement":null},{"id":"W3140780024","doi":"10.1016/j.jcct.2021.03.011","title":"A rare presentation of SLE coronary vascular disease detected on Tc-99 m MDP bone scan SPECT CT","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Radiology; Presentation (obstetrics); Antiphospholipid syndrome; Computed tomography; Internal medicine; Nuclear medicine; Cardiology; Thrombosis","score_opus":0.01493095872597918,"score_gpt":0.24989814647636616,"score_spread":0.23496718775038697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140780024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8805291,0.10932071,0.007975326,0.0005453443,0.000946041,0.00028614397,0.00001734658,0.0000499525,0.0003300401],"genre_scores_gemma":[0.99431586,0.0021078943,0.002785047,0.00022893531,0.00046543646,0.0000051706224,0.000035339883,0.000030672112,0.00002564999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968351,0.0005436485,0.0006886612,0.00031879966,0.001336079,0.000277723],"domain_scores_gemma":[0.9977017,0.00016148324,0.0002950524,0.0006379902,0.00079155713,0.00041219252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007275479,0.00024706847,0.0011208608,0.0005585363,0.000097325945,0.000017839551,0.00013781319,0.000047152742,0.0000333522],"category_scores_gemma":[0.00041106707,0.00020419934,0.0031491248,0.0008978241,0.0002428779,0.00008246303,0.00006970815,0.0005197329,0.0000031352504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037473731,0.0039403583,0.49338672,0.0027016855,0.08975864,0.18384731,0.0009447636,0.013189518,0.004434964,0.000117615724,0.027913587,0.17601748],"study_design_scores_gemma":[0.0113337105,0.0010452729,0.9445458,0.0018287061,0.008571243,0.008933391,0.00027080695,0.00073132187,0.008208795,0.00023307497,0.013901111,0.00039673198],"about_ca_topic_score_codex":0.000008232955,"about_ca_topic_score_gemma":8.1313146e-7,"teacher_disagreement_score":0.45115912,"about_ca_system_score_codex":0.00003836869,"about_ca_system_score_gemma":0.00023934757,"threshold_uncertainty_score":0.8327008},"labels":[],"label_agreement":null},{"id":"W3160952166","doi":"10.1016/j.jcct.2021.04.005","title":"Prognostic value of noninvasive combined anatomic/functional assessment by cardiac CT in patients with suspected coronary artery disease — Comparison with invasive coronary angiography and nuclear myocardial perfusion imaging for the five-year-follow up of the CORE320 multicenter study","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Canon Medical Systems Corporation","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Cardiology; Radiology; Internal medicine; Perfusion; Perfusion scanning; Angiography; Coronary angiography; Myocardial infarction","score_opus":0.00506666124250379,"score_gpt":0.208355544182898,"score_spread":0.2032888829403942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160952166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887493,0.0069737416,0.0012568875,0.00012790621,0.0006245102,0.002080801,0.00016031566,0.000013923582,0.000012578578],"genre_scores_gemma":[0.99891186,0.000118358716,0.00064831146,0.000076151264,0.00007494525,0.000025157593,0.00009452725,0.000049690003,9.846891e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99677336,0.0005339681,0.00068633055,0.00037789342,0.0013462547,0.00028219997],"domain_scores_gemma":[0.9961199,0.00091707555,0.00051114336,0.000567063,0.0016900175,0.00019479156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052710867,0.00033282023,0.0012400012,0.0003778069,0.0001675911,0.000048809765,0.00017200102,0.000039566246,0.0000027515155],"category_scores_gemma":[0.00013822211,0.00020807853,0.0021356242,0.0009572591,0.00036494504,0.00013510496,0.000119184995,0.0004349575,8.403721e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004589281,0.0016147125,0.97541434,0.00012188183,0.012501689,0.00027594029,0.00044210852,0.0034417638,0.00003439867,0.000010221915,0.0007854882,0.0007681846],"study_design_scores_gemma":[0.027156757,0.0013666728,0.9582977,0.00073506945,0.0086540645,0.00010415701,0.0021926507,0.0011420317,0.00006877232,0.0000069927682,0.000061110586,0.00021399345],"about_ca_topic_score_codex":0.000035160567,"about_ca_topic_score_gemma":0.0000040730324,"teacher_disagreement_score":0.022567475,"about_ca_system_score_codex":0.000072412215,"about_ca_system_score_gemma":0.0004227446,"threshold_uncertainty_score":0.8485196},"labels":[],"label_agreement":null},{"id":"W3174144872","doi":"10.1016/j.jcct.2021.06.004","title":"Value of semiquantitative assessment of high-risk plaque features on coronary CT angiography over stenosis in selection of studies for FFRct","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Dr. Miriam and Sheldon G. Adelson Medical Research Foundation","keywords":"Medicine; Stenosis; Lesion; Radiology; Odds ratio; Internal medicine; Cardiology; Logistic regression; Target lesion; Myocardial infarction; Surgery; Percutaneous coronary intervention","score_opus":0.013756541417151857,"score_gpt":0.2986270997855636,"score_spread":0.28487055836841174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174144872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9241078,0.063230656,0.011562757,0.000080850725,0.000513563,0.00036307567,0.000081924205,0.000010008606,0.000049380134],"genre_scores_gemma":[0.9747871,0.003447918,0.021554489,0.000035894904,0.00012640306,0.000007452025,0.00001566528,0.00002398643,0.0000010777408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997484,0.00043510465,0.0008208888,0.00022824344,0.0008454285,0.0001862978],"domain_scores_gemma":[0.9959838,0.001107053,0.0006955231,0.0003009918,0.001835447,0.00007718042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000979118,0.00021622042,0.0017045574,0.0013535747,0.00003617048,0.00000789947,0.00008691257,0.00007434072,0.0000014224038],"category_scores_gemma":[0.0002980568,0.0001868456,0.004922943,0.0016164499,0.00013921637,0.00007808466,0.000038516246,0.00035612495,3.0531712e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007950052,0.0011054986,0.8338811,0.0011972087,0.05836769,0.000296415,0.0003741049,0.094404906,0.0009291374,0.00089648395,0.0019495579,0.005802896],"study_design_scores_gemma":[0.0059923814,0.0017544312,0.96748775,0.0019375137,0.0053468975,0.00023338167,0.00041567648,0.00025254,0.015784573,0.0004885388,0.00016107174,0.00014522261],"about_ca_topic_score_codex":0.00008210666,"about_ca_topic_score_gemma":0.000004235922,"teacher_disagreement_score":0.13360667,"about_ca_system_score_codex":0.000059459064,"about_ca_system_score_gemma":0.00020861575,"threshold_uncertainty_score":0.7619342},"labels":[],"label_agreement":null},{"id":"W3184510538","doi":"10.1016/j.jcct.2021.06.258","title":"Plaque Location And Vessel Geometry On Coronary Computed Tomography Angiography Predict Future Culprit Lesions Associated With Acute Coronary Syndrome: Results From The ICONIC Study","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Medicine; Culprit; Acute coronary syndrome; Vulnerable plaque; Radiology; Stenosis; Coronary angiography; Computed tomography angiography; Angiography; Lesion; Cardiology; Internal medicine; Myocardial infarction; Pathology","score_opus":0.008393593861311131,"score_gpt":0.21871049592066538,"score_spread":0.21031690205935424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184510538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92881465,0.06411494,0.0034788507,0.0010312274,0.0011035004,0.0008857384,0.0003706159,0.00012494685,0.0000755043],"genre_scores_gemma":[0.9956785,0.0014335299,0.0011535168,0.00050711364,0.0005516857,0.000014131008,0.0005801328,0.00007632265,0.0000050767453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950006,0.0009210569,0.0009962305,0.00074698526,0.0018424535,0.00049264514],"domain_scores_gemma":[0.99472594,0.0013008462,0.0005776373,0.0012624647,0.0016859652,0.00044716834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012105984,0.00057390844,0.0015850276,0.00115853,0.0004102106,0.00018356567,0.00034852096,0.00027657585,0.0000064366996],"category_scores_gemma":[0.00017791473,0.0004156458,0.003059975,0.0049338494,0.00030995894,0.00022194521,0.00015988117,0.0012918069,0.0000027176086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019156694,0.0025896437,0.8528635,0.00005643605,0.09898848,0.018105466,0.0006533112,0.006422615,0.00002176475,0.000020366664,0.013924937,0.004437795],"study_design_scores_gemma":[0.014075756,0.0021223663,0.9585548,0.0013579532,0.013156342,0.007401694,0.0009994922,0.0002388738,0.00003849589,0.000041580715,0.0015973215,0.0004153237],"about_ca_topic_score_codex":0.00005135046,"about_ca_topic_score_gemma":0.000006386157,"teacher_disagreement_score":0.105691284,"about_ca_system_score_codex":0.00007940647,"about_ca_system_score_gemma":0.00038712626,"threshold_uncertainty_score":0.99982953},"labels":[],"label_agreement":null},{"id":"W3185271941","doi":"10.1016/j.jcct.2021.06.161","title":"Head To Head Comparison Reproducibility And Inter-reader Agreement Of An AI Based Coronary Stenosis Algorithm Vs Level 3 Readers","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Reproducibility; Medicine; Stenosis; Coronary angiography; Head (geology); Radiology; Cardiology; Internal medicine; Algorithm; Computer science; Statistics; Mathematics","score_opus":0.14821052492158002,"score_gpt":0.3942565722672341,"score_spread":0.24604604734565408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185271941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7552793,0.006350727,0.23252523,0.004569893,0.00081322785,0.00040729702,0.000015064052,0.000018228407,0.000021052427],"genre_scores_gemma":[0.9241172,0.00010514637,0.074141294,0.001113287,0.00045625327,0.0000060483508,0.000031826447,0.000021458554,0.0000074760605],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9964899,0.00047284138,0.0012558841,0.00064764044,0.000844453,0.00028930456],"domain_scores_gemma":[0.9957271,0.0001227538,0.00028804786,0.0012847112,0.0021118587,0.00046553358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002529498,0.00021871399,0.0011066202,0.0005222504,0.00009080836,0.0000358181,0.00014852658,0.00013586547,0.000027716635],"category_scores_gemma":[0.00023714083,0.000202134,0.0010472883,0.0009105677,0.0001307016,0.00017286313,0.00005414043,0.00044423903,0.0000018639075],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007475959,0.0014734094,0.106690355,0.00044085432,0.0029932423,0.00027957908,0.0024404333,0.0047011822,0.00044024838,0.0000038801936,0.0015637287,0.8782255],"study_design_scores_gemma":[0.0021538427,0.007331594,0.8327164,0.0023782593,0.0027782444,0.0017428629,0.008929184,0.019052353,0.10289768,0.0003069913,0.019029036,0.0006835577],"about_ca_topic_score_codex":0.00050480705,"about_ca_topic_score_gemma":0.000050231665,"teacher_disagreement_score":0.87754196,"about_ca_system_score_codex":0.00010392552,"about_ca_system_score_gemma":0.00043375662,"threshold_uncertainty_score":0.82427853},"labels":[],"label_agreement":null},{"id":"W3185621636","doi":"10.1016/j.jcct.2021.06.235","title":"Coronary Artery Calcium Progression After Coronary Artery Bypass Graft Surgery","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Cardiology; Artery; Internal medicine; Coronary artery calcium; Coronary artery bypass surgery; Calcium; Coronary artery disease","score_opus":0.0137664448199242,"score_gpt":0.2464229979402063,"score_spread":0.2326565531202821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185621636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7750006,0.19840066,0.020121021,0.0008890181,0.0046148254,0.00038380807,0.000031925272,0.00014242511,0.00041572738],"genre_scores_gemma":[0.9924483,0.00095580745,0.0038635926,0.0008056206,0.0017381744,0.00001555019,0.000072951996,0.00007648814,0.000023566432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958546,0.00047288928,0.0010206039,0.00045822625,0.001631451,0.0005622165],"domain_scores_gemma":[0.9963845,0.00047979294,0.00030790674,0.00092988566,0.001336225,0.0005616916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010845201,0.00042380087,0.0017047696,0.00083177275,0.000111479996,0.00010982311,0.00014828183,0.00022951928,0.00004235678],"category_scores_gemma":[0.00017841923,0.00037287528,0.006696429,0.0010631958,0.00019104476,0.00027122136,0.00013366084,0.00080598675,0.000016915972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011659778,0.00109718,0.71635795,0.00039731307,0.02366489,0.14828806,0.00016949906,0.0007214767,0.00038554904,0.000006690022,0.03252237,0.075223066],"study_design_scores_gemma":[0.0038945025,0.00027990804,0.8661617,0.0014891571,0.0045510144,0.08145958,0.00010373666,0.00012672124,0.0012962605,0.00007305104,0.040087216,0.0004771249],"about_ca_topic_score_codex":0.0000024055269,"about_ca_topic_score_gemma":3.9904953e-7,"teacher_disagreement_score":0.21744767,"about_ca_system_score_codex":0.00008266704,"about_ca_system_score_gemma":0.0005464834,"threshold_uncertainty_score":0.9998723},"labels":[],"label_agreement":null},{"id":"W3185678017","doi":"10.1016/j.jcct.2021.06.162","title":"Fully Automated Calcium Scoring, Classification And Risk Categorization Solution Using Artificial Intelligence On Non-Contrast Cardiac CT Scan","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Agatston score; Coronary artery disease; Radiology; Contrast (vision); Cardiology; Segmentation; Internal medicine; Categorization; Calcification; Coronary artery calcium; Artificial intelligence; Computer science","score_opus":0.019787765086353513,"score_gpt":0.23880655379703244,"score_spread":0.21901878871067892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185678017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2804333,0.006133136,0.71182096,0.000010062392,0.0012749521,0.000103129154,0.0000070632436,0.00014499432,0.000072396964],"genre_scores_gemma":[0.98917246,0.0011271165,0.009107975,0.0000064969317,0.0005310698,0.0000024613523,0.0000134636675,0.000038509424,4.3983155e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825394,0.00017792691,0.0005690598,0.00024251321,0.00047320977,0.00028332698],"domain_scores_gemma":[0.99888986,0.00004926197,0.00020489628,0.0002974574,0.00041949228,0.00013905806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005614488,0.00023542922,0.0005214781,0.00044143404,0.00019348836,0.00012778037,0.00011579886,0.00007257117,0.0000018525333],"category_scores_gemma":[0.000038613463,0.00025037304,0.00072861393,0.00096628646,0.00006127695,0.00035990737,0.00002579087,0.0004200369,0.0000018971659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020816498,0.000037355196,0.0016549597,0.000057791804,0.001946662,0.00008471399,0.00010064906,0.90579027,0.008572675,0.00018723132,0.00002547778,0.081521414],"study_design_scores_gemma":[0.0003217345,0.00006171155,0.017768214,0.00022311637,0.0008564919,0.00021959025,0.00021741481,0.94689995,0.031941965,0.00042591605,0.0007179873,0.00034587734],"about_ca_topic_score_codex":0.000018436082,"about_ca_topic_score_gemma":0.0000013547254,"teacher_disagreement_score":0.70873916,"about_ca_system_score_codex":0.00011919254,"about_ca_system_score_gemma":0.00006614186,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W3198354146","doi":"10.1016/j.jcct.2021.08.003","title":"Trans-lesional fractional flow reserve gradient as derived from coronary CT improves patient management: ADVANCE registry","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Duke Clinical Research Institute; National Heart, Lung, and Blood Institute; Siemens Healthineers; National Heart Foundation of Australia; GE Healthcare; International Communication Association; National Health and Medical Research Council; Boston Scientific Corporation; Medtronic; Siemens; Siemens USA; Edwards Lifesciences; Biotronik; AstraZeneca; Bayer; Merck","keywords":"Fractional flow reserve; Medicine; Cardiology; Radiology; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.009060869972131623,"score_gpt":0.23159633819091924,"score_spread":0.2225354682187876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198354146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87788063,0.063298255,0.05536004,0.0005572083,0.0016644591,0.00030464315,0.00010304828,0.000040442366,0.0007912784],"genre_scores_gemma":[0.9588994,0.003224578,0.036783736,0.0003163719,0.0004619191,0.00001169959,0.00021753447,0.000035414785,0.00004936167],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9970857,0.00019554641,0.0007977262,0.00038329998,0.0012611381,0.00027661995],"domain_scores_gemma":[0.9977619,0.00016981304,0.0002965022,0.0006479188,0.0008094468,0.00031443022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002466112,0.00026567891,0.0007170329,0.00034948328,0.00014074639,0.00005150507,0.00019693148,0.000075875476,0.00020857116],"category_scores_gemma":[0.00006776434,0.0002489688,0.0037464034,0.00056504423,0.00009166389,0.00021173597,0.00009956211,0.0004983484,0.0000061349847],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004165925,0.006914838,0.033811774,0.00091132533,0.08196935,0.13872121,0.00045575932,0.053353313,0.0030382057,0.0006277447,0.015245615,0.66078496],"study_design_scores_gemma":[0.01342404,0.0019129391,0.59541094,0.0027068271,0.005666746,0.018218711,0.0009715287,0.0023394392,0.0032595054,0.0028852152,0.3525326,0.00067148],"about_ca_topic_score_codex":0.00002573995,"about_ca_topic_score_gemma":0.000004567562,"teacher_disagreement_score":0.66011345,"about_ca_system_score_codex":0.00009152392,"about_ca_system_score_gemma":0.00016549305,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W3207974755","doi":"10.1016/j.jcct.2021.09.012","title":"Comparison of coronary atherosclerotic plaque progression in East Asians and Caucasians by serial coronary computed tomographic angiography: A PARADIGM substudy","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Medicine; Computed tomographic angiography; Internal medicine; Vulnerable plaque; Computed tomography angiography; Cardiology; Propensity score matching; Angiography","score_opus":0.014886520002259178,"score_gpt":0.2689481438547597,"score_spread":0.25406162385250053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207974755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647439,0.1280986,0.005288104,0.0003411837,0.00072683266,0.000634277,0.00005087565,0.000055554843,0.000060690512],"genre_scores_gemma":[0.99492383,0.00088816136,0.0037174358,0.00007673434,0.00023045656,0.000008822753,0.00008995682,0.00006324146,0.0000013557278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99584556,0.00060817326,0.0013067655,0.00051102793,0.001218877,0.00050958304],"domain_scores_gemma":[0.9975803,0.0002289119,0.0005205837,0.000645374,0.0005909973,0.0004338353],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080837816,0.00046521865,0.002264047,0.0012573518,0.00010379715,0.0000687028,0.00021162184,0.00025928015,0.000006534047],"category_scores_gemma":[0.000061320294,0.00044171655,0.0034394136,0.002472662,0.00037436569,0.00018145485,0.00011879754,0.000781784,6.7165536e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006975554,0.0019520617,0.973307,0.00028848945,0.007770488,0.0026219708,0.0009089245,0.0022591057,0.0008176192,0.000023996481,0.0013327035,0.008020065],"study_design_scores_gemma":[0.011373518,0.0013254087,0.9725064,0.0017462743,0.002945246,0.0056145014,0.0007875229,0.00078686746,0.001066133,0.000068400754,0.0013505007,0.00042923342],"about_ca_topic_score_codex":0.00003827825,"about_ca_topic_score_gemma":0.000011266729,"teacher_disagreement_score":0.13017996,"about_ca_system_score_codex":0.00005209966,"about_ca_system_score_gemma":0.000255001,"threshold_uncertainty_score":0.9998035},"labels":[],"label_agreement":null},{"id":"W3210026456","doi":"10.1016/j.jcct.2021.10.007","title":"Cardiac computed tomography-derived coronary artery volume to myocardial mass","year":2021,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; University of British Columbia","funders":"Novo Nordisk Fonden; British Heart Foundation","keywords":"Medicine; Cardiology; Coronary artery disease; Internal medicine; Coronary arteries; Lumen (anatomy); Artery; Radiology; Cardiac imaging","score_opus":0.01866001313929202,"score_gpt":0.2629484145938752,"score_spread":0.24428840145458317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210026456","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013399594,0.9605807,0.027475053,0.000106494954,0.008965763,0.001811052,0.00025853733,0.0002184447,0.00044997685],"genre_scores_gemma":[0.000538536,0.97660154,0.014809126,0.0003714003,0.006680217,0.000063578045,0.00054449536,0.00035866266,0.00003243839],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98967886,0.0018306298,0.0029052598,0.0013000781,0.0030624869,0.0012226612],"domain_scores_gemma":[0.99138856,0.0006961591,0.0011524119,0.0025225822,0.0025801219,0.0016601416],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0021893233,0.0016661237,0.013401904,0.004036439,0.0002333099,0.0003659475,0.0008523135,0.00095911504,0.000028562166],"category_scores_gemma":[0.00031915412,0.0015306086,0.045360368,0.0050582895,0.000282115,0.00022669187,0.00041072423,0.0025716657,0.0000706168],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012236962,0.00039852792,0.0016149611,0.0068729604,0.12975681,0.014520757,0.00010809289,0.0012984058,0.000006768514,0.000013264468,0.05088038,0.7944067],"study_design_scores_gemma":[0.0024554944,0.00058985694,0.0040662973,0.022152584,0.048236094,0.010305364,0.000047657275,0.000023965393,0.00000804515,0.0000100456755,0.91082454,0.0012800773],"about_ca_topic_score_codex":0.000012699524,"about_ca_topic_score_gemma":1.8199509e-7,"teacher_disagreement_score":0.85994416,"about_ca_system_score_codex":0.00033455502,"about_ca_system_score_gemma":0.0015964787,"threshold_uncertainty_score":0.99972945},"labels":[],"label_agreement":null},{"id":"W3211270426","doi":"10.1016/j.jcct.2021.10.009","title":"Contrast agent volume for coronary computed tomography angiography imaging in current clinical practice","year":2021,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"Sanofi; Bayer","keywords":"Medicine; Computed tomography angiography; Contrast-induced nephropathy; Renal function; Iodinated contrast; Computed tomographic angiography; Radiology; Nephropathy; Cardiac imaging; Coronary artery disease; Nephrotoxicity; Angiography; Computed tomography; Cardiology; Internal medicine; Nuclear medicine; Kidney; Percutaneous coronary intervention; Myocardial infarction","score_opus":0.02560427564437576,"score_gpt":0.30291614466119576,"score_spread":0.27731186901682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211270426","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022836695,0.7179436,0.14674687,0.11524461,0.013832193,0.003062769,0.00017426195,0.00016431924,0.00054767175],"genre_scores_gemma":[0.12020396,0.025986312,0.12086735,0.6523678,0.07453719,0.00028562944,0.004314691,0.0013363158,0.00010080423],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99059117,0.0015185489,0.0034047745,0.001112828,0.002331372,0.0010413058],"domain_scores_gemma":[0.9924699,0.0009208531,0.0020021463,0.0012884692,0.0028230743,0.00049557345],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036623068,0.00093796616,0.0037706944,0.004913206,0.00016600596,0.00030803742,0.00069847214,0.0007014373,0.000031843025],"category_scores_gemma":[0.00036642118,0.00092279876,0.022134129,0.0033466865,0.00032356477,0.0006533476,0.000153141,0.00475536,0.00000782555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039532068,0.000797096,0.11910707,0.00066546653,0.026064847,0.010198367,0.000091173075,0.00068293663,0.0000035903433,0.0000035499934,0.71918315,0.12280742],"study_design_scores_gemma":[0.008899391,0.0003839304,0.14258297,0.002048458,0.008734046,0.004931705,0.00007208307,0.0018200211,0.0000064033634,0.000035753048,0.82976925,0.0007160125],"about_ca_topic_score_codex":0.00002103787,"about_ca_topic_score_gemma":6.5848207e-7,"teacher_disagreement_score":0.6919573,"about_ca_system_score_codex":0.00016493867,"about_ca_system_score_gemma":0.00071959547,"threshold_uncertainty_score":0.99932224},"labels":[],"label_agreement":null},{"id":"W3213332047","doi":"10.1016/j.jcct.2021.11.004","title":"Plaque progression: Where, why, and how fast? A review of what we have learned from the analysis of patient data from the PARADIGM registry","year":2021,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"British Heart Foundation","keywords":"Medicine; Computed tomographic angiography; Vulnerable plaque; Myocardial infarction; Radiology; Population; Angiography; Cardiology; Internal medicine","score_opus":0.04853429956184152,"score_gpt":0.31352471655904157,"score_spread":0.26499041699720005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213332047","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029425577,0.9926197,0.001726295,0.003530364,0.00055798725,0.0008068071,0.0007043793,0.000010861134,0.000014211622],"genre_scores_gemma":[0.00006132062,0.9962144,0.001400918,0.0003520838,0.000680227,0.000012245605,0.0012282068,0.00004925685,0.0000013258988],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99359757,0.002097407,0.0015043279,0.0006331643,0.0019119509,0.0002555915],"domain_scores_gemma":[0.9899937,0.0025064098,0.0025388473,0.0039433017,0.00080051104,0.00021721481],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0020063042,0.00056251255,0.007168074,0.0004010978,0.000088467736,0.0002220193,0.0009926994,0.00027184913,0.000015526917],"category_scores_gemma":[0.00068960147,0.00029601797,0.010946891,0.0022256838,0.00035580786,0.0002140381,0.00058200996,0.0012093058,3.3143326e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024666753,0.000110208646,0.0005502394,0.01057794,0.11969915,0.00042702872,0.00011014747,0.000040418607,6.4728994e-8,0.0000027322665,0.034703217,0.8337542],"study_design_scores_gemma":[0.0005318223,0.000059782335,0.0002199024,0.23004054,0.1283671,0.00031903185,0.00020060097,0.000036639532,9.481853e-7,0.000011084919,0.6400407,0.00017185877],"about_ca_topic_score_codex":0.00012068005,"about_ca_topic_score_gemma":0.00000780007,"teacher_disagreement_score":0.83358234,"about_ca_system_score_codex":0.000035861223,"about_ca_system_score_gemma":0.0005173248,"threshold_uncertainty_score":0.9999492},"labels":[],"label_agreement":null},{"id":"W3214440832","doi":"10.1016/j.jcct.2021.11.005","title":"Right ventricular dysfunction by computed tomography associates with outcomes in severe aortic stenosis patients undergoing transcatheter aortic valve replacement","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Abbott Vascular; Circle Cardiovascular Imaging; Siemens Medical Solutions USA; Boston Scientific Corporation; Edwards Lifesciences; Medtronic","keywords":"Medicine; Cardiology; Internal medicine; Stenosis; Ejection fraction; Univariate analysis; Aortic valve stenosis; Heart failure; Valve replacement; Radiology; Multivariate analysis","score_opus":0.007868881270461186,"score_gpt":0.21874755058863873,"score_spread":0.21087866931817756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214440832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98270714,0.0128413355,0.003054228,0.00031446095,0.00031963605,0.0006294864,0.000022733637,0.000045461788,0.00006552853],"genre_scores_gemma":[0.99730927,0.0005116116,0.0016333506,0.00024050377,0.00006344921,0.000017006885,0.00015396076,0.00005023821,0.000020618343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99529815,0.00052336766,0.0009287567,0.00052936794,0.0021039254,0.0006164104],"domain_scores_gemma":[0.9972433,0.00019832858,0.00036602304,0.00058031967,0.001164291,0.00044775367],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000549738,0.00043474592,0.0014860479,0.0010614417,0.00015489242,0.00008433257,0.00017885117,0.00017305317,0.000031186948],"category_scores_gemma":[0.00006198528,0.00031429928,0.004296494,0.0020598331,0.00007321191,0.00027192943,0.00005745657,0.0005602195,0.0000038672174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004889799,0.0032824387,0.95244986,0.00015147774,0.03691865,0.0026936843,0.00004273661,0.0009166774,0.000037324815,0.0000015555158,0.0005807576,0.0024358816],"study_design_scores_gemma":[0.021987764,0.0026136616,0.966151,0.0009144918,0.0046552233,0.0008159976,0.00010122048,0.0005071593,0.00079441577,0.000064473985,0.0009825185,0.0004120562],"about_ca_topic_score_codex":0.000027774571,"about_ca_topic_score_gemma":0.000004063015,"teacher_disagreement_score":0.032263428,"about_ca_system_score_codex":0.00023115808,"about_ca_system_score_gemma":0.00021894224,"threshold_uncertainty_score":0.9999309},"labels":[],"label_agreement":null},{"id":"W4200521623","doi":"10.1016/j.jcct.2021.12.002","title":"Prognostic long-term value of nonobstructive disease in emergency department chest pain patients who undergo CCTA","year":2021,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; Rockyview General Hospital; University of Calgary; St. Paul's Hospital; University of British Columbia","funders":"GE Healthcare","keywords":"Medicine; Scopus; Chest pain; Acute coronary syndrome; Emergency department; Myocardial infarction; Coronary angiography; Revascularization; Cardiology; Internal medicine; Stenosis; Coronary artery disease; Radiology; Computed tomographic angiography; Angiography; MEDLINE","score_opus":0.008857156129973462,"score_gpt":0.22582574998238572,"score_spread":0.21696859385241227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200521623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6748099,0.24614419,0.034195945,0.029383345,0.010223711,0.004251658,0.00054978876,0.0001058711,0.00033558902],"genre_scores_gemma":[0.95681024,0.0065930844,0.003736627,0.020875486,0.009249112,0.00007885365,0.0022427037,0.0003815182,0.000032381537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939233,0.0011040785,0.0016314959,0.0005814566,0.0021909017,0.00056876143],"domain_scores_gemma":[0.9954475,0.0004606702,0.0009536832,0.0010172555,0.0017357102,0.00038515107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010585977,0.0006365404,0.002550884,0.0014876667,0.00005385813,0.000048335594,0.00032948935,0.0004305652,0.000015713475],"category_scores_gemma":[0.00087390764,0.00059892784,0.006936126,0.0013089188,0.00015021216,0.00012520904,0.0001494543,0.0019101813,0.000001610139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014921359,0.00071420154,0.9079979,0.002372962,0.0148126,0.011680873,0.000079756566,0.0023231532,7.1397534e-7,0.0000026355538,0.055275507,0.004590452],"study_design_scores_gemma":[0.0042893454,0.00042471552,0.9651055,0.0042406837,0.008571974,0.00020584509,0.000011464809,0.00011366133,0.0000141158935,0.000086159016,0.016435234,0.0005013361],"about_ca_topic_score_codex":0.000021458907,"about_ca_topic_score_gemma":0.0000013470841,"teacher_disagreement_score":0.28200033,"about_ca_system_score_codex":0.00022300342,"about_ca_system_score_gemma":0.0005840746,"threshold_uncertainty_score":0.9996462},"labels":[],"label_agreement":null},{"id":"W4210247539","doi":"10.1016/j.jcct.2022.01.006","title":"Patient-specific CT-Simulation in TAVR: An emerging guide in the lifetime journey of aortic valve disease","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Valve replacement; Stenosis; Regurgitation (circulation); Cardiology; Aortic valve; Aortic valve replacement; Internal medicine; Aortic valve stenosis; Heart valve; valvular heart disease; Calcification; Radiology; Surgery","score_opus":0.014979624037226922,"score_gpt":0.2968269064490186,"score_spread":0.2818472824117917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210247539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624289,0.03568027,0.0008550857,0.000084799125,0.00034094267,0.0004870039,0.000024363744,0.000009974775,0.00008861807],"genre_scores_gemma":[0.99904823,0.0003558185,0.00024051222,0.000112387796,0.00016373995,0.000015074654,0.000037576465,0.000025724396,9.231753e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963242,0.0007550713,0.000927462,0.00023113673,0.0015083706,0.00025380004],"domain_scores_gemma":[0.99846715,0.00009541605,0.00036917088,0.00059085013,0.00024622717,0.00023119894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010938346,0.00019719101,0.0007402785,0.0011079134,0.00009783283,0.000028735114,0.0002022291,0.000022221451,0.000030475598],"category_scores_gemma":[0.00004261171,0.0001556119,0.006308979,0.0014995394,0.000043978012,0.00016712246,0.000071101626,0.0003964304,6.5517173e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005794141,0.0014306211,0.35063055,0.000056892608,0.005490617,0.0012673229,0.00080501096,0.6035063,0.000009738693,0.000018263081,0.00025495197,0.035950292],"study_design_scores_gemma":[0.0057742246,0.0005823265,0.9729918,0.00018668985,0.0024877947,0.00020288776,0.0010484672,0.0076586967,0.000007751927,0.00014427947,0.008735575,0.00017951142],"about_ca_topic_score_codex":0.00004498198,"about_ca_topic_score_gemma":5.2094055e-7,"teacher_disagreement_score":0.62236124,"about_ca_system_score_codex":0.00012826841,"about_ca_system_score_gemma":0.00013894564,"threshold_uncertainty_score":0.63627744},"labels":[],"label_agreement":null},{"id":"W4210580687","doi":"10.1016/j.jcct.2022.01.004","title":"Coronary volume to left ventricular mass ratio in patients with diabetes mellitus","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"Janssen Pharmaceuticals; GE Healthcare; Sanofi; Bayer HealthCare; Boston Scientific Corporation; National Heart, Lung, and Blood Institute; Medtronic; Siemens; Edwards Lifesciences; Biotronik; Bayer; AstraZeneca","keywords":"Medicine; Cardiology; Internal medicine; Diabetes mellitus; Volume (thermodynamics); Endocrinology","score_opus":0.0036798676874880087,"score_gpt":0.18422782579673255,"score_spread":0.18054795810924454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210580687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686735,0.018843237,0.010683658,0.0003241224,0.0008009679,0.0005399742,0.000023013026,0.00003131954,0.00008019145],"genre_scores_gemma":[0.996107,0.000021277892,0.0031631282,0.0004136548,0.00020217523,0.0000095681735,0.000039905713,0.00003537371,0.000007932599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713975,0.00026792628,0.0004900487,0.00024746434,0.0015116934,0.00034308693],"domain_scores_gemma":[0.9985617,0.00007793973,0.00016295155,0.00044706813,0.00047900362,0.00027134392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007898216,0.00020908876,0.00087175344,0.0010434436,0.00010535848,0.000037343052,0.00018038737,0.000041232353,0.00002803434],"category_scores_gemma":[0.00006592692,0.0001849919,0.0014507936,0.0011926214,0.000041821193,0.00009854488,0.00009243952,0.0005204258,0.000003561625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000274901,0.00033233743,0.8848387,0.00003482949,0.0029922973,0.001347961,0.00008470957,0.10295599,0.0000062609347,0.0000035080295,0.0027761508,0.0043523563],"study_design_scores_gemma":[0.0064241798,0.0013508102,0.94228166,0.00013250887,0.0011746357,0.00024124442,0.000054166994,0.00035261552,0.00007365057,0.000019570294,0.04766695,0.00022803184],"about_ca_topic_score_codex":0.0000064170326,"about_ca_topic_score_gemma":1.9601588e-7,"teacher_disagreement_score":0.102603376,"about_ca_system_score_codex":0.00015663073,"about_ca_system_score_gemma":0.00012951205,"threshold_uncertainty_score":0.7543751},"labels":[],"label_agreement":null},{"id":"W4211194059","doi":"10.1016/j.jcct.2022.02.003","title":"CT imaging with ultra-high-resolution: Opportunities for cardiovascular imaging in clinical practice","year":2022,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Canon Medical Systems Corporation","keywords":"Medicine; Radiology; Angiography; Coronary angiography; Computed tomography angiography; Image resolution; Clinical Practice; Medical physics; Cardiology; Artificial intelligence; Computer science","score_opus":0.06325622657927543,"score_gpt":0.32979832442252527,"score_spread":0.26654209784324984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211194059","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000845924,0.9602099,0.03440989,0.00022395485,0.0025583587,0.0016340618,0.0000838179,0.00008477793,0.0007867615],"genre_scores_gemma":[0.00020355395,0.97909695,0.017170658,0.00032467878,0.0026632594,0.00012588031,0.0001736288,0.00023297055,0.000008447368],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906383,0.0021467668,0.0029452336,0.00088761264,0.002587933,0.0007941548],"domain_scores_gemma":[0.9918251,0.0031025044,0.0015613532,0.0016967346,0.0012900453,0.0005242643],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010378187,0.00093334296,0.0077539696,0.0025439386,0.0002347999,0.00019596507,0.0005572083,0.00014986008,0.0000110572355],"category_scores_gemma":[0.0016346913,0.0007801435,0.030814601,0.0017292947,0.0003388208,0.000463563,0.00014607707,0.0024651217,0.0000017319087],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019719944,0.0003532888,0.00039589798,0.0052817347,0.044967312,0.02356308,0.000030755233,0.0026839357,1.1862324e-8,0.00004793008,0.004152935,0.9183259],"study_design_scores_gemma":[0.005462864,0.00028519347,0.00016818148,0.009844498,0.06770967,0.05082832,0.0003785717,0.000059824473,2.0883489e-7,0.00001695887,0.86456704,0.00067864056],"about_ca_topic_score_codex":0.00007250486,"about_ca_topic_score_gemma":4.6125103e-7,"teacher_disagreement_score":0.9176473,"about_ca_system_score_codex":0.0003826232,"about_ca_system_score_gemma":0.0019781091,"threshold_uncertainty_score":0.9998362},"labels":[],"label_agreement":null},{"id":"W4214734406","doi":"10.1016/j.jcct.2022.02.008","title":"Geometric differences of the mitral valve apparatus in atrial and ventricular functional mitral regurgitation","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Mitral regurgitation; Papillary muscle; Mitral valve; Functional mitral regurgitation; Heart failure; Ejection fraction","score_opus":0.011483448384783398,"score_gpt":0.23762798001047838,"score_spread":0.22614453162569498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214734406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138703,0.08451294,0.00041170107,0.000050399594,0.0008096095,0.00028361415,0.000021490598,0.000005077714,0.000034872108],"genre_scores_gemma":[0.99931663,0.00021748235,0.00015281659,0.000022577276,0.00025828285,0.000005755571,0.0000132308105,0.0000099189165,0.000003294722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977779,0.0002942905,0.00045146182,0.00016841396,0.0011391971,0.0001687444],"domain_scores_gemma":[0.9991034,0.000087325665,0.00027165114,0.0002244119,0.00020434089,0.00010884595],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0004837832,0.00013933596,0.00062498404,0.0008934861,0.0001030471,0.00001843806,0.000101557605,0.000042837113,0.00001307911],"category_scores_gemma":[0.000044724493,0.00009955816,0.015654339,0.0019527032,0.00006803805,0.00006838055,0.000073800715,0.0002908182,1.6865057e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069217203,0.00032150888,0.9497931,0.000055440098,0.02902345,0.0001745702,0.00006581776,0.013893539,0.0000071096183,0.00003708786,0.0002511088,0.005685075],"study_design_scores_gemma":[0.00700363,0.00037356134,0.985191,0.000051315084,0.0056776325,0.0005457695,0.000119249526,0.00009394036,0.00001826415,0.00013821184,0.0007018046,0.000085636304],"about_ca_topic_score_codex":0.000026782458,"about_ca_topic_score_gemma":2.1172397e-7,"teacher_disagreement_score":0.08544635,"about_ca_system_score_codex":0.00007164917,"about_ca_system_score_gemma":0.00011950744,"threshold_uncertainty_score":0.9942036},"labels":[],"label_agreement":null},{"id":"W4220844337","doi":"10.1016/j.jcct.2022.03.004","title":"The Journal of cardiovascular computed tomography: A year in review 2021","year":2022,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"NHLBI Division of Intramural Research; Abbott Vascular; Hong Kong Government; Israel Cancer Research Fund; Department of Health and Social Care; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; National Institute for Health and Care Research; Abbott Northwestern Hospital Foundation; Siemens Medical Solutions USA; Health and Medical Research Fund; British Heart Foundation; Boston Scientific Corporation; Edwards Lifesciences; General Electric; National Institutes of Health; Medtronic; AstraZeneca; Siemens Healthineers; National Heart, Lung, and Blood Institute; NIHR Cambridge Biomedical Research Centre; Kowa Company; Bayer Fund; Food and Health Bureau; Northwestern University","keywords":"Editorial board; Medicine; Coronary artery disease; Computed tomography; Impact factor; Medical physics; Library science; Radiology; Cardiology; Computer science","score_opus":0.004621129791653341,"score_gpt":0.2033689278445292,"score_spread":0.19874779805287587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220844337","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009669779,0.6832656,0.029718453,0.000027038906,0.28622782,0.00040562922,0.000043765885,0.00004612976,0.00016882681],"genre_scores_gemma":[0.0025377327,0.65745777,0.0048934026,0.000046042525,0.33458075,0.000025331055,0.00007906174,0.00037038026,0.000009494299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9892945,0.0015909907,0.0029417921,0.00043319268,0.0048539503,0.00088554097],"domain_scores_gemma":[0.99385166,0.0009838322,0.0012608428,0.001665437,0.0018846481,0.00035360147],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008465175,0.00094477023,0.0041152183,0.002142304,0.00028896163,0.0001725541,0.0023331884,0.0005089946,0.000036341688],"category_scores_gemma":[0.00036887612,0.0007882047,0.013890626,0.0040224986,0.00020786996,0.0004931348,0.0002956631,0.005610499,0.0000032614644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001074717,0.000084900115,0.00003652339,0.001623038,0.039992698,0.0013647637,0.00011709518,0.47226655,0.000003887592,0.000006165537,0.4473851,0.037011802],"study_design_scores_gemma":[0.0028790045,0.00024149111,0.00007785849,0.0048875925,0.005895946,0.00069181144,0.00013270139,0.0005731493,0.00001983167,0.000104742634,0.98375267,0.00074319815],"about_ca_topic_score_codex":0.000019084126,"about_ca_topic_score_gemma":0.0000027336616,"teacher_disagreement_score":0.53636754,"about_ca_system_score_codex":0.00032588223,"about_ca_system_score_gemma":0.00045893845,"threshold_uncertainty_score":0.9994569},"labels":[],"label_agreement":null},{"id":"W4229071840","doi":"10.1016/j.jcct.2022.04.005","title":"Head to head comparison reproducibility and inter-reader agreement of an AI based coronary stenosis algorithm vs level 3 readers","year":2022,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Reproducibility; Head (geology); Stenosis; Cardiology; Radiology; Internal medicine; Statistics; Mathematics; Geology","score_opus":0.04254665842602113,"score_gpt":0.30194398225927976,"score_spread":0.25939732383325864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229071840","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08278649,0.06733737,0.44030544,0.39453566,0.008443461,0.0045449487,0.0015542882,0.00024864447,0.00024370792],"genre_scores_gemma":[0.2014059,0.0005940517,0.2682207,0.5126703,0.013879976,0.00012733438,0.002370446,0.0006167751,0.00011455998],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925153,0.0011174994,0.0017882246,0.001390832,0.0026036666,0.0005844334],"domain_scores_gemma":[0.9938898,0.00040038192,0.0007586382,0.003021456,0.0014478075,0.00048192483],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0038707352,0.0006884168,0.0035255647,0.001864751,0.00013660415,0.000082086044,0.000453584,0.00042246154,0.000047763297],"category_scores_gemma":[0.00031563698,0.0006558039,0.0045912717,0.0010837344,0.00029033681,0.00015138142,0.00026216707,0.0030780295,0.0000016466919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012708902,0.0012135648,0.040510096,0.0015383546,0.021765033,0.006016574,0.0007312789,0.0087615475,0.000018230563,3.7343915e-7,0.7697877,0.1483863],"study_design_scores_gemma":[0.00876646,0.0064053317,0.17688558,0.0021103055,0.011147656,0.0032292427,0.00043186906,0.002509859,0.0004545191,0.000025037902,0.7870055,0.001028633],"about_ca_topic_score_codex":0.00036791398,"about_ca_topic_score_gemma":0.0000035741357,"teacher_disagreement_score":0.17208475,"about_ca_system_score_codex":0.00025908183,"about_ca_system_score_gemma":0.00041560255,"threshold_uncertainty_score":0.9995893},"labels":[],"label_agreement":null},{"id":"W4231343449","doi":"10.1016/j.jcct.2018.12.052","title":"Author index","year":2019,"lang":"en","type":"paratext","venue":"Journal of cardiovascular computed tomography","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Index (typography); World Wide Web","score_opus":0.01491944382418435,"score_gpt":0.24605542957467536,"score_spread":0.231135985750491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231343449","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029328594,0.61569357,0.18015,0.00017591903,0.10788406,0.0022380427,0.00084707193,0.0002670396,0.08981145],"genre_scores_gemma":[0.64770776,0.014600312,0.03658991,0.0014036201,0.15625823,0.000128513,0.0024830804,0.009251177,0.13157742],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9885652,0.0016349409,0.0025287205,0.00094604376,0.0051976144,0.0011274752],"domain_scores_gemma":[0.99004835,0.00022827293,0.003142518,0.0027248699,0.0031392304,0.00071675406],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.004017969,0.0014002698,0.005341452,0.006813622,0.000166399,0.00043500256,0.0025423444,0.0016281669,0.00082854915],"category_scores_gemma":[0.00008573804,0.0012668491,0.024105145,0.004233807,0.0002771583,0.0005340472,0.00040645042,0.004341821,0.015652768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002045088,0.00016870687,0.00014086041,0.00036992755,0.05905488,0.0004811089,0.00006549492,0.14617272,0.000030011171,0.000010895455,0.78864,0.004660887],"study_design_scores_gemma":[0.0043749907,0.00039159306,0.0011634785,0.0013394596,0.004407147,0.002183726,0.000029788285,0.00049179175,0.00008332101,0.00004345456,0.98422474,0.001266519],"about_ca_topic_score_codex":0.00003450511,"about_ca_topic_score_gemma":7.82251e-7,"teacher_disagreement_score":0.6447749,"about_ca_system_score_codex":0.00033648315,"about_ca_system_score_gemma":0.001083233,"threshold_uncertainty_score":0.9998748},"labels":[],"label_agreement":null},{"id":"W4238839833","doi":"10.1016/j.jcct.2021.06.297","title":"Association Of Tube Voltage With Plaque Composition On Coronary Ct Angiography: Results From Paradigm Registry","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Hounsfield scale; Medicine; Tube (container); Coronary angiography; Radiology; Computed tomography angiography; Attenuation; Angiography; Computed tomography; Cardiology; Myocardial infarction","score_opus":0.006964541007045571,"score_gpt":0.20999359648160154,"score_spread":0.20302905547455596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238839833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447117,0.029476069,0.02190596,0.0011050953,0.0009362103,0.0002772839,0.0003554575,0.00006629786,0.0011659536],"genre_scores_gemma":[0.99462855,0.00057617464,0.003681952,0.00020266822,0.00055830466,0.0000017233026,0.0003116262,0.000030073039,0.00000892376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971971,0.000256817,0.00068999856,0.0002927492,0.0013340161,0.0002293184],"domain_scores_gemma":[0.997063,0.00057666836,0.0006344798,0.00065461564,0.0008749373,0.0001963154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000671675,0.00023128424,0.0010597452,0.00051332,0.00006411831,0.000043218846,0.00011119195,0.00010419355,0.000004183693],"category_scores_gemma":[0.00013931136,0.0002022982,0.003764596,0.0010158484,0.000074846415,0.00010906861,0.000027195952,0.000505389,0.0000015869541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065651396,0.0020647084,0.7517367,0.0002896324,0.10999838,0.023928925,0.00041807853,0.049700916,0.0019730928,0.00014989154,0.040495027,0.0126795145],"study_design_scores_gemma":[0.017209876,0.0009856862,0.9350457,0.002114102,0.009383217,0.0034207562,0.000110526526,0.00021137347,0.01131978,0.00020714621,0.019622536,0.0003692979],"about_ca_topic_score_codex":0.00006572874,"about_ca_topic_score_gemma":0.0000017655266,"teacher_disagreement_score":0.18330902,"about_ca_system_score_codex":0.00009357774,"about_ca_system_score_gemma":0.00019244882,"threshold_uncertainty_score":0.8249481},"labels":[],"label_agreement":null},{"id":"W4239266723","doi":"10.1016/j.jcct.2015.09.002","title":"President's Page","year":2015,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Fractional flow reserve; Computed tomographic angiography; Coronary artery disease; Cardiology; Cardiac catheterization; Computed tomographic; Prospective cohort study; Angiography; Clinical trial; Coronary angiography; Radiology; Internal medicine; Computed tomography; Myocardial infarction","score_opus":0.00951271036343046,"score_gpt":0.24819963583871893,"score_spread":0.23868692547528847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239266723","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002139,0.2132182,0.0042835735,0.00007701223,0.7797107,0.0003091458,0.00007322218,0.0000821523,0.0020321098],"genre_scores_gemma":[0.0025205843,0.0028775788,0.0029988154,0.00006131317,0.99110425,0.000004899473,0.00018214875,0.00014413199,0.00010628124],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930792,0.00033595617,0.0010729695,0.00040656346,0.0046579037,0.00044740434],"domain_scores_gemma":[0.9919998,0.000675787,0.00070514675,0.0011630403,0.0047719027,0.00068430416],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025005986,0.0005419773,0.0027964336,0.0014060539,0.00006201509,0.00015708024,0.00041877443,0.00085143576,0.000008539226],"category_scores_gemma":[0.0021622481,0.00046861838,0.009143601,0.00084023876,0.00014436229,0.00015063149,0.0001462122,0.0023116982,0.000019350815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020311936,0.00014094109,0.0004127618,0.0003438682,0.01900805,0.0036705646,0.000053726762,0.00081812916,0.0000022728943,0.000001765421,0.9719409,0.0034039107],"study_design_scores_gemma":[0.0057856394,0.0005049749,0.00080416206,0.0013198158,0.013005636,0.0011374216,0.000022674341,0.000023287266,0.00003153352,0.000095228446,0.97687036,0.00039927143],"about_ca_topic_score_codex":0.00003424195,"about_ca_topic_score_gemma":3.9857377e-7,"teacher_disagreement_score":0.21139356,"about_ca_system_score_codex":0.00018134178,"about_ca_system_score_gemma":0.0015540412,"threshold_uncertainty_score":0.99999},"labels":[],"label_agreement":null},{"id":"W4247471567","doi":"10.1016/j.jcct.2009.06.001","title":"Outcomes Research in Cardiovascular Imaging: Report of a Workshop Sponsored by the National Heart, Lung, and Blood Institute","year":2009,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Asymptomatic; Coronary artery disease; Cardiology; Canadian Cardiovascular Society; Clinical trial; Ejection fraction; Angina; Heart failure; Internal medicine; Randomized controlled trial; Intensive care medicine; Myocardial infarction","score_opus":0.024603987166109998,"score_gpt":0.3222172143056682,"score_spread":0.2976132271395582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247471567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63697344,0.3468544,0.0062726443,0.0066428077,0.0007369983,0.00089545303,0.000017399343,0.000046981215,0.0015598466],"genre_scores_gemma":[0.99639094,0.0006930882,0.0022341954,0.00028735367,0.0003471643,0.000004997696,0.0000101679,0.000020811167,0.000011298182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951395,0.0005436115,0.0008969358,0.0003373785,0.002703286,0.00037931476],"domain_scores_gemma":[0.9968805,0.00049418525,0.00020225493,0.00067696,0.0015343168,0.00021180992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076944656,0.00023661292,0.0013854577,0.0012927792,0.000112250484,0.00007194237,0.0002219567,0.00010289248,0.0000012714016],"category_scores_gemma":[0.0010289233,0.00017348205,0.003367743,0.0016886328,0.00039752095,0.0002031953,0.00007334514,0.00089790556,4.0965213e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058966177,0.0015606389,0.854317,0.00029416426,0.039063912,0.012676758,0.0007118711,0.017139895,0.00042026,0.00025644628,0.04404839,0.028920988],"study_design_scores_gemma":[0.009619385,0.00021592842,0.861821,0.00081112894,0.0037492947,0.033162784,0.00018045116,0.00049917056,0.00048983557,0.00055150595,0.08856786,0.00033163803],"about_ca_topic_score_codex":0.00005739339,"about_ca_topic_score_gemma":6.075035e-7,"teacher_disagreement_score":0.35941747,"about_ca_system_score_codex":0.000062176914,"about_ca_system_score_gemma":0.00029335846,"threshold_uncertainty_score":0.70743924},"labels":[],"label_agreement":null},{"id":"W4250932861","doi":"10.1016/j.jcct.2015.07.009","title":"President's Page","year":2015,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Futures studies; Passion; Friendship; Face (sociological concept); Medicine; Field (mathematics); Shoulders; Public relations; Environmental ethics; Social science; Political science; Sociology; Social psychology; Artificial intelligence; Psychology; Pathology","score_opus":0.019344407110458914,"score_gpt":0.28451317209818616,"score_spread":0.26516876498772723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250932861","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003631334,0.13852167,0.0010256325,0.00012317782,0.8460467,0.00026123915,0.000041777967,0.0000678366,0.013548862],"genre_scores_gemma":[0.006101683,0.0071079056,0.00053810276,0.0000308288,0.98589,0.0000035192586,0.000018862998,0.00005490264,0.00025421465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917059,0.0012043995,0.0008379918,0.0003018304,0.005378091,0.00057181227],"domain_scores_gemma":[0.99427927,0.0006163494,0.000796854,0.0005708687,0.0031887973,0.0005478943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0054653795,0.00039384083,0.0016553481,0.00082803564,0.00038193993,0.0003716456,0.0009982724,0.00076260837,0.000018494873],"category_scores_gemma":[0.0015784513,0.00034725125,0.004613627,0.0009603567,0.00037164096,0.00045171494,0.00016243289,0.0011753346,0.000017774237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045711527,0.000058427482,0.00008187507,0.000053279306,0.008337274,0.0002769997,0.0037857655,0.00020844757,1.7271924e-7,0.000025651427,0.9823437,0.0047827265],"study_design_scores_gemma":[0.0012996639,0.00019206309,0.00011837825,0.0002708171,0.0017426132,0.000010924973,0.0010787611,0.0000010559703,0.0000018408003,0.000677673,0.9942538,0.0003523699],"about_ca_topic_score_codex":0.00048404335,"about_ca_topic_score_gemma":0.00010173682,"teacher_disagreement_score":0.13984331,"about_ca_system_score_codex":0.0001372286,"about_ca_system_score_gemma":0.0016104549,"threshold_uncertainty_score":0.99989796},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.013901318929431054,"score_gpt":0.25198322969553455,"score_spread":0.2380819107661035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256714814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79887885,0.16034186,0.03297748,0.0017810303,0.00058981124,0.0025171847,0.0028578728,0.000046169698,0.0000097540615],"genre_scores_gemma":[0.98912406,0.00584897,0.004037525,0.00029947495,0.0005081237,0.00005251767,0.000045407884,0.000082707484,0.0000011929662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99088377,0.002908366,0.002740118,0.0009303449,0.0018276443,0.0007097854],"domain_scores_gemma":[0.98638916,0.0030067915,0.0045977463,0.004015183,0.0016269673,0.00036416325],"candidate_categories":["metaepi_narrow","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.00801798,0.00068240584,0.005547285,0.000299826,0.00042600013,0.00002474911,0.0011737415,0.00008468378,2.7091227e-7],"category_scores_gemma":[0.0005964429,0.00034153025,0.017472485,0.0020723394,0.010696725,0.00013715286,0.0006497354,0.0005621091,3.6916358e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004760961,0.000438904,0.5162144,0.0018260442,0.38583213,0.00067818136,0.0016467351,0.014024221,0.0012371289,0.000194345,0.032611277,0.040535707],"study_design_scores_gemma":[0.031547025,0.0019979004,0.8002746,0.0017903143,0.07260623,0.021597976,0.019313999,0.009846617,0.0008496919,0.0001238822,0.038634967,0.0014168037],"about_ca_topic_score_codex":0.00073488534,"about_ca_topic_score_gemma":0.000006286187,"teacher_disagreement_score":0.3132259,"about_ca_system_score_codex":0.00010005481,"about_ca_system_score_gemma":0.00048979255,"threshold_uncertainty_score":0.9999037},"labels":[],"label_agreement":null},{"id":"W4281623508","doi":"10.1016/j.jcct.2022.05.005","title":"Age related compositional plaque burden by CT in patients with future ACS","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"National Institutes of Health; Ministry of Science ICT and Future Planning; National Research Foundation of Korea; National Research Foundation","keywords":"Medicine; Radiology; Internal medicine; Cardiology","score_opus":0.0027130940417515815,"score_gpt":0.18391986728652762,"score_spread":0.18120677324477605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281623508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98346967,0.013089637,0.0009772131,0.0007033118,0.00085402926,0.0003947287,0.00007460074,0.000040290604,0.00039655244],"genre_scores_gemma":[0.99797153,0.00006166611,0.0010692287,0.00022126302,0.00037454028,0.000006930979,0.0002531582,0.000034780795,0.000006877611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972575,0.0002800558,0.0004913776,0.00021345352,0.0014851198,0.0002725306],"domain_scores_gemma":[0.9988887,0.000081304934,0.00021194838,0.00032645187,0.00031475764,0.00017689494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006233428,0.00020558482,0.0007871485,0.0006868829,0.0001360488,0.00003277581,0.00016232573,0.000043403397,0.000019059975],"category_scores_gemma":[0.000016194906,0.00017623299,0.0013118398,0.0011073828,0.00007352261,0.000095634525,0.00008280826,0.00094455166,0.0000012572572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021419493,0.0018895667,0.74292237,0.00013101788,0.021682322,0.013494249,0.00064142124,0.14153104,0.000077848,0.00011202145,0.06376512,0.0116110435],"study_design_scores_gemma":[0.0258276,0.0014489929,0.78997433,0.00023687564,0.0020132018,0.0036958777,0.00022478808,0.00014073946,0.00007288648,0.00007690586,0.17585471,0.00043305618],"about_ca_topic_score_codex":0.000019207802,"about_ca_topic_score_gemma":2.0311884e-7,"teacher_disagreement_score":0.1413903,"about_ca_system_score_codex":0.00013063577,"about_ca_system_score_gemma":0.00011059555,"threshold_uncertainty_score":0.7186573},"labels":[],"label_agreement":null},{"id":"W4283333172","doi":"10.1016/j.jcct.2022.05.006","title":"Non-Invasive Imaging in Coronary Syndromes: Recommendations of The European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with The American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Canadian Cardiovascular Society; Cardiac imaging; Radiology; Myocardial infarction","score_opus":0.006145927446965101,"score_gpt":0.21247436012192591,"score_spread":0.20632843267496082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283333172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69283634,0.28224677,0.0187706,0.001902253,0.00039133045,0.0032553228,0.0004890804,0.00004106765,0.0000671929],"genre_scores_gemma":[0.9636398,0.025055693,0.010671949,0.00026422142,0.0001734445,0.00006111516,0.00003075433,0.000101988044,0.000001010484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919768,0.002661298,0.0017331511,0.00072365213,0.002323856,0.0005812269],"domain_scores_gemma":[0.99289536,0.0012669377,0.0020077496,0.0016672825,0.0020343869,0.00012826486],"candidate_categories":["metaepi_narrow","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.011113993,0.0005818119,0.0043446193,0.0004997332,0.0003931562,0.000044011944,0.0006599653,0.00009813297,5.072681e-7],"category_scores_gemma":[0.000119613585,0.00042950606,0.026144218,0.0056066,0.0030586605,0.00020970922,0.00051749987,0.0010403722,2.9321324e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008940738,0.00047836805,0.5172056,0.001859475,0.15719907,0.000052843145,0.008882769,0.25258356,0.0005940519,0.000037883852,0.01073376,0.04947854],"study_design_scores_gemma":[0.020864328,0.000932113,0.8854807,0.0012893055,0.026476802,0.0007609058,0.03035546,0.010592948,0.00030009676,0.00008692735,0.022145974,0.0007144586],"about_ca_topic_score_codex":0.0010300223,"about_ca_topic_score_gemma":0.0000046621617,"teacher_disagreement_score":0.36827508,"about_ca_system_score_codex":0.0002374199,"about_ca_system_score_gemma":0.00040470093,"threshold_uncertainty_score":0.9998157},"labels":[],"label_agreement":null},{"id":"W4284891953","doi":"10.1016/j.jcct.2022.07.001","title":"Computed tomography reference dimensions for identification of stented surgical mitral bioprostheses valve size","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Vancouver General Hospital; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Biotronik; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Edwards Lifesciences; Medtronic; Abbott Laboratories","keywords":"Medicine; Mitral valve; Computed tomography; Radiology; Nuclear medicine; Cardiology","score_opus":0.017637906964957508,"score_gpt":0.2856416562837036,"score_spread":0.2680037493187461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284891953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95283955,0.040466737,0.0039353454,0.00009846998,0.00090488675,0.0011820818,0.0004390656,0.00006322387,0.00007061596],"genre_scores_gemma":[0.99734664,0.00021767008,0.0019300655,0.00004537886,0.00019694772,0.000048880906,0.00016339059,0.000041709012,0.000009298753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963883,0.00033955177,0.0011231544,0.00038863302,0.0014111707,0.00034915257],"domain_scores_gemma":[0.9967453,0.0003127068,0.0006892095,0.00066805206,0.0012654655,0.00031926733],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00090136833,0.00030197582,0.001313345,0.00089735584,0.00026298204,0.00003787384,0.00026440682,0.00009066092,0.000023330196],"category_scores_gemma":[0.00006345103,0.00026560965,0.019622082,0.001664041,0.00013791637,0.000115398034,0.00012405265,0.00035280283,8.3171005e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010099062,0.0096382955,0.5732348,0.0012506798,0.32834256,0.0014840378,0.00056286727,0.038790535,0.0029736343,0.0011919119,0.0039137653,0.028517827],"study_design_scores_gemma":[0.017801495,0.0026708243,0.9362782,0.0002862846,0.020861015,0.0015951637,0.00038797394,0.00097845,0.0013076263,0.00037684973,0.016971197,0.00048488413],"about_ca_topic_score_codex":0.000022364271,"about_ca_topic_score_gemma":1.5300351e-7,"teacher_disagreement_score":0.36304343,"about_ca_system_score_codex":0.00007478758,"about_ca_system_score_gemma":0.00015807798,"threshold_uncertainty_score":0.9999796},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.020914586648982256,"score_gpt":0.2522160016506289,"score_spread":0.23130141500164664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284896820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6710354,0.31106684,0.012779693,0.00055480684,0.0033073402,0.0005302871,0.00020543805,0.00014673347,0.00037347607],"genre_scores_gemma":[0.9975293,0.0002695994,0.0010583614,0.00017842572,0.0008212839,0.0000063706725,0.000091814654,0.00003825872,0.000006531402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99662656,0.00024427703,0.0010781478,0.00037906226,0.0013982183,0.00027372845],"domain_scores_gemma":[0.9971459,0.00012970495,0.000813615,0.001212045,0.00027454123,0.00042420268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002810999,0.00020747219,0.0009965079,0.0005671929,0.00027040424,0.000060425828,0.0002998445,0.000035636273,0.00000773932],"category_scores_gemma":[0.00028639697,0.00019668724,0.0016225498,0.00063647644,0.00008201174,0.00016897525,0.0005697804,0.000640719,8.901102e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008396037,0.00054049434,0.7765503,0.0012451641,0.030995745,0.08087286,0.000283434,0.021721333,0.000114879556,0.000118592405,0.038691297,0.048026327],"study_design_scores_gemma":[0.0062642135,0.0004525961,0.7722363,0.00069705566,0.011138213,0.0955232,0.0009969847,0.009516353,0.000020159408,0.000048834423,0.10260799,0.0004981299],"about_ca_topic_score_codex":0.000014139387,"about_ca_topic_score_gemma":1.1922253e-7,"teacher_disagreement_score":0.32649395,"about_ca_system_score_codex":0.00008577756,"about_ca_system_score_gemma":0.0002479364,"threshold_uncertainty_score":0.8020672},"labels":[],"label_agreement":null},{"id":"W4285735782","doi":"10.1016/j.jcct.2022.06.042","title":"437 Accuracy Of The FFRCTPlanner In Coronary Calcific Lesions","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Radiology; Internal medicine","score_opus":0.013150153701501178,"score_gpt":0.23970758170015527,"score_spread":0.22655742799865408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285735782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413867,0.0526718,0.001997948,0.00078237546,0.0019390302,0.00038015906,0.000034155433,0.000021464604,0.00078634673],"genre_scores_gemma":[0.9987373,0.00019836647,0.0006031634,0.00021671107,0.00020287317,0.000005234902,0.0000059581157,0.000020471034,0.000009964188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760044,0.00039062704,0.0005679456,0.00014722325,0.0010906225,0.00020316233],"domain_scores_gemma":[0.9984405,0.00032969372,0.00027385532,0.0005747804,0.00027308016,0.000108063694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010421794,0.00014009686,0.00071114267,0.0006037005,0.00011976575,0.000011622619,0.000275677,0.000043743155,0.000018931014],"category_scores_gemma":[0.00021662115,0.00010315245,0.003106912,0.0013590608,0.00010232476,0.000059983737,0.00019171923,0.00074096874,7.3897803e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056662224,0.0010961349,0.7125158,0.00018153778,0.008021168,0.0029362328,0.00079825183,0.20521463,0.0004434004,0.00016212602,0.026302822,0.04176128],"study_design_scores_gemma":[0.004222666,0.00027288756,0.90323645,0.00025124897,0.0012870044,0.004874034,0.000365683,0.0003483614,0.00032294772,0.00012120437,0.08454661,0.00015090503],"about_ca_topic_score_codex":0.000037180653,"about_ca_topic_score_gemma":5.736442e-7,"teacher_disagreement_score":0.20486628,"about_ca_system_score_codex":0.000068079586,"about_ca_system_score_gemma":0.0002406472,"threshold_uncertainty_score":0.42064348},"labels":[],"label_agreement":null},{"id":"W4285735941","doi":"10.1016/j.jcct.2022.06.069","title":"601 Long-term Prognostic Value Of Hemodynamic Assessment And Plaque Quantification In Coronary CT Angiography","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Coronary angiography; Cardiology; Radiology; Hemodynamics; Internal medicine; Angiography; Term (time); Predictive value; Myocardial infarction","score_opus":0.01000306870308092,"score_gpt":0.258688007840428,"score_spread":0.24868493913734707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285735941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93417495,0.045289997,0.019279066,0.00014324233,0.00051049684,0.00047391478,0.000021637685,0.000023519819,0.00008316355],"genre_scores_gemma":[0.9959692,0.0005641189,0.0032255768,0.00005102051,0.00009475039,0.000016109767,0.00004986601,0.000028520562,8.497099e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740106,0.00039133758,0.0007048398,0.00026057096,0.001010858,0.0002313403],"domain_scores_gemma":[0.9985487,0.00025230937,0.00034924,0.00042481296,0.00027647562,0.00014849698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013185564,0.00019980896,0.00090390927,0.0016442391,0.00008631047,0.000026033227,0.00015198375,0.000037987244,0.0000043730347],"category_scores_gemma":[0.00003915646,0.0001980348,0.0024440172,0.0014106524,0.00012450508,0.000099866455,0.000105363026,0.00053897937,1.8246062e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013141421,0.00050115696,0.96257377,0.00020815576,0.0040032044,0.0014636696,0.00007573666,0.020370485,0.00013577835,0.00010080417,0.000118540396,0.010317258],"study_design_scores_gemma":[0.0038453965,0.00053899264,0.98521054,0.0003031427,0.0019948701,0.0049868864,0.000101028316,0.0024417588,0.00007164546,0.000091915,0.00024309813,0.00017074314],"about_ca_topic_score_codex":0.000028998218,"about_ca_topic_score_gemma":7.8979826e-7,"teacher_disagreement_score":0.06179423,"about_ca_system_score_codex":0.000087846885,"about_ca_system_score_gemma":0.00019463229,"threshold_uncertainty_score":0.8075625},"labels":[],"label_agreement":null},{"id":"W4285736085","doi":"10.1016/j.jcct.2022.06.072","title":"604 Temporal Changes In Prognostic Outcomes Among Patients Undergoing Coronary Artery Calcium Scanning: 1998 To 2013","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Coronary artery disease; Radiology","score_opus":0.013326442991214198,"score_gpt":0.23564553253429477,"score_spread":0.22231908954308058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884821,0.0059217275,0.0023439573,0.00061210664,0.0017495151,0.00068798603,0.000020123223,0.000055172255,0.0001273118],"genre_scores_gemma":[0.9974377,0.0000485256,0.0014467726,0.000614328,0.00031507143,0.0000345467,0.000040523733,0.000050343588,0.000012149961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967732,0.00030390272,0.0006544116,0.0003241817,0.0014862521,0.0004580494],"domain_scores_gemma":[0.99830836,0.00030915393,0.000261039,0.00045387173,0.0002972457,0.0003703576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009714669,0.00029695034,0.0011403037,0.0016611458,0.00015597626,0.000053758347,0.00023045545,0.000070356924,0.000010114188],"category_scores_gemma":[0.00019723867,0.00027856926,0.0018813111,0.0012846533,0.00007041141,0.0001298443,0.00023742963,0.0007275302,0.000003363672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012806372,0.0003797711,0.96427816,0.00006224177,0.0026907418,0.0018280412,0.00033182523,0.02162552,0.0000043469686,0.0000011689049,0.0053800745,0.0032900393],"study_design_scores_gemma":[0.0053433916,0.0010454038,0.9827223,0.00035324544,0.000978331,0.00070437725,0.0002727828,0.00027946758,0.000020445215,0.000020648264,0.007974959,0.00028468508],"about_ca_topic_score_codex":0.00010119691,"about_ca_topic_score_gemma":0.000017648805,"teacher_disagreement_score":0.021346053,"about_ca_system_score_codex":0.00019066466,"about_ca_system_score_gemma":0.00018231799,"threshold_uncertainty_score":0.9999666},"labels":[],"label_agreement":null},{"id":"W4285736152","doi":"10.1016/j.jcct.2022.06.053","title":"448 Comprehensive Assessment Of Coronary Artery Disease On CCTA Using Deep Learning Methods","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Radiology","score_opus":0.02387352964047138,"score_gpt":0.32001699731035255,"score_spread":0.29614346766988114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65043133,0.04527768,0.3014918,0.00013368341,0.0018090007,0.00039786127,0.000017551336,0.000051862527,0.00038925218],"genre_scores_gemma":[0.9413366,0.00018904735,0.057836805,0.00023500624,0.000334111,0.0000046196606,0.000019549796,0.000041630334,0.0000026889381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9960121,0.0013341246,0.00066273956,0.0002557959,0.0014333123,0.00030193312],"domain_scores_gemma":[0.9975001,0.00053416536,0.0004470052,0.00050827675,0.00064047956,0.0003699327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015349583,0.0002385872,0.001178838,0.00094800204,0.00021303145,0.000025969288,0.00015976034,0.000036458816,0.000024233423],"category_scores_gemma":[0.00013006198,0.00023043186,0.0038684637,0.00083156576,0.0001062875,0.00007564028,0.00017070046,0.000985744,3.6711523e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004871329,0.00057161617,0.12433898,0.00018045679,0.012344257,0.004145844,0.00013126699,0.8225826,0.0005131505,0.000045132427,0.00025371407,0.03440584],"study_design_scores_gemma":[0.0072757527,0.0016363112,0.8903664,0.0004657399,0.008171166,0.006380529,0.00065067096,0.056943607,0.00016672813,0.00011943407,0.02740916,0.00041452487],"about_ca_topic_score_codex":0.000007188751,"about_ca_topic_score_gemma":2.246055e-8,"teacher_disagreement_score":0.7660274,"about_ca_system_score_codex":0.00016229671,"about_ca_system_score_gemma":0.0002827031,"threshold_uncertainty_score":0.93967384},"labels":[],"label_agreement":null},{"id":"W4285736189","doi":"10.1016/j.jcct.2022.06.137","title":"525 Should We Look For High-Risk Carotid Plaques In Patients With Coronary Artery Calcium?","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Coronary artery disease; Carotid arteries; Stroke (engine); Carotid artery disease; Disease; Artery; Radiology","score_opus":0.01044593364814099,"score_gpt":0.21204195629789532,"score_spread":0.20159602264975435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836777,0.005750302,0.008077474,0.00015122074,0.00064426695,0.0014327577,0.00016360951,0.000053250198,0.000049455924],"genre_scores_gemma":[0.9973289,0.00023997595,0.0015733212,0.00022648629,0.0003533999,0.000073814714,0.00012733632,0.000067015135,0.000009799449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963991,0.000409962,0.00071734487,0.00039491468,0.0016536544,0.00042500516],"domain_scores_gemma":[0.9981358,0.00010607168,0.00032658078,0.0006373115,0.00049553165,0.00029867122],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008050045,0.00034595715,0.0012319585,0.0010267451,0.00020449393,0.00004001098,0.00028340088,0.000079576945,0.00004064272],"category_scores_gemma":[0.000025351399,0.0002596166,0.0030899134,0.0006877612,0.000097517666,0.00019874847,0.00010746554,0.00067656196,0.000001003117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016934305,0.0011792689,0.9513159,0.0001690531,0.012616039,0.00021349562,0.00023379503,0.018025417,0.000005611214,0.000017501518,0.0021378356,0.012392661],"study_design_scores_gemma":[0.023609452,0.003978625,0.95622176,0.00023481854,0.0038384127,0.00072073826,0.00041263894,0.00012089017,0.000113076116,0.00011925057,0.010221134,0.00040917608],"about_ca_topic_score_codex":0.00003500539,"about_ca_topic_score_gemma":0.00000422604,"teacher_disagreement_score":0.02191602,"about_ca_system_score_codex":0.00015381804,"about_ca_system_score_gemma":0.00022554972,"threshold_uncertainty_score":0.9999856},"labels":[],"label_agreement":null},{"id":"W4285736523","doi":"10.1016/j.jcct.2022.06.025","title":"420 Cardiac Investigation Trends Among Primary Care Physicians: A Paradigm Shift","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Primary care; Paradigm shift; Intensive care medicine; Internal medicine; Cardiology; Family medicine","score_opus":0.0075260932993322935,"score_gpt":0.20724061463245524,"score_spread":0.19971452133312295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8099291,0.17526191,0.006643241,0.0008580892,0.0040368387,0.00050638174,0.00011597424,0.00019470886,0.0024538098],"genre_scores_gemma":[0.99664354,0.00020999894,0.0010815158,0.00047328643,0.0013061592,0.000022703385,0.00019566945,0.00005746955,0.000009654492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645823,0.0004868327,0.00062536995,0.00032412916,0.0017507577,0.00035465346],"domain_scores_gemma":[0.9982668,0.00012588191,0.00037032843,0.00067550846,0.0002757141,0.00028576356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008133462,0.00029447072,0.0012949801,0.0012265097,0.0002651237,0.0000676249,0.00023251852,0.00007725483,0.000009325418],"category_scores_gemma":[0.000031170977,0.00029846863,0.005669536,0.0018981339,0.0001726069,0.00020533941,0.00013231659,0.0008707918,0.0000017507768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003212584,0.00035299818,0.7534125,0.00053498225,0.023190537,0.0020635184,0.004808055,0.07526851,0.00009447459,0.00020363885,0.018339256,0.12141031],"study_design_scores_gemma":[0.0032737223,0.00052648305,0.910756,0.00027788314,0.0048673903,0.0004656935,0.00031842527,0.00011268154,0.00016179148,0.0001790774,0.07870227,0.00035859196],"about_ca_topic_score_codex":0.000063998734,"about_ca_topic_score_gemma":6.562532e-7,"teacher_disagreement_score":0.1867145,"about_ca_system_score_codex":0.00025198437,"about_ca_system_score_gemma":0.00024140242,"threshold_uncertainty_score":0.9999468},"labels":[],"label_agreement":null},{"id":"W4285736597","doi":"10.1016/j.jcct.2022.06.037","title":"432 Feasibility And Clinical Outcomes Of Integrating CT-derived Fractional Flow Reserve (FFRCT) Into Clinical Practice: Insights From A Large Academic Medical Center","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Fractional flow reserve; Center (category theory); Appropriateness criteria; Clinical Practice; Medical physics; Radiology; Family medicine; Internal medicine","score_opus":0.03254409203728457,"score_gpt":0.3556289675256128,"score_spread":0.3230848754883282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96552086,0.023469323,0.0064537204,0.0021075886,0.001705746,0.0004576808,0.000033409084,0.00003953376,0.00021215786],"genre_scores_gemma":[0.9824102,0.0025046756,0.012208622,0.0016602117,0.0011124901,0.0000075134217,0.000051405113,0.000039654366,0.000005226765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98816085,0.0041443384,0.0031136635,0.0005945182,0.0036355034,0.000351122],"domain_scores_gemma":[0.9898226,0.006695953,0.0011075321,0.0007216797,0.0008538846,0.0007983483],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010124219,0.00036210526,0.0034646045,0.00050586916,0.00023257265,0.00003412996,0.00044013248,0.00033555288,0.00011766398],"category_scores_gemma":[0.006539158,0.0002706377,0.009167845,0.00078784564,0.0003926451,0.00032885862,0.0004592754,0.0039637564,0.0000018898136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016954994,0.0012897323,0.959672,0.00004682889,0.018341288,0.0027307381,0.00023985888,0.00008318633,0.0000052669175,0.0001625876,0.00054486253,0.015188191],"study_design_scores_gemma":[0.013314056,0.00080342055,0.79880387,0.00016988187,0.0023784367,0.0027660702,0.000575869,0.0012623402,0.0000076170404,0.0002535059,0.17941606,0.00024889325],"about_ca_topic_score_codex":0.00011644511,"about_ca_topic_score_gemma":0.0000099999825,"teacher_disagreement_score":0.1788712,"about_ca_system_score_codex":0.0001147906,"about_ca_system_score_gemma":0.00054174196,"threshold_uncertainty_score":0.9999746},"labels":[],"label_agreement":null},{"id":"W4285736751","doi":"10.1016/j.jcct.2022.06.073","title":"605 Validation Of Aortic Valve Computed Tomography Calcium Quantification In Contrast Computed Tomography","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Contrast (vision); Computed tomography; Radiology; Tomography; Aortic valve; Nuclear medicine; Internal medicine; Artificial intelligence; Computer science","score_opus":0.011892488422305116,"score_gpt":0.22135708311992855,"score_spread":0.20946459469762344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4027349,0.023381665,0.5707067,0.00004554137,0.0020467846,0.0006165489,0.000057850222,0.00025990812,0.00015005893],"genre_scores_gemma":[0.9910542,0.00014345611,0.008276445,0.000044518016,0.00025823066,0.00002869121,0.000100391684,0.000093288094,8.293443e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99478936,0.0006427212,0.0018897617,0.00047627668,0.0015496504,0.0006522546],"domain_scores_gemma":[0.99737555,0.00022628934,0.0006898305,0.0008044486,0.00065579155,0.00024811775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016806839,0.0005430779,0.0015179585,0.0036177165,0.00024205938,0.000091870344,0.0008116169,0.00015135181,0.000018272469],"category_scores_gemma":[0.000025920246,0.00061028934,0.0038305747,0.0059372215,0.00017579606,0.0005625629,0.00014228042,0.001143446,0.0000016206586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108793436,0.00035723665,0.01178353,0.00023757928,0.005346789,0.000082287006,0.0004947707,0.96096677,0.0030908654,0.00015311013,0.00031181343,0.017066468],"study_design_scores_gemma":[0.019226557,0.0014065313,0.31884372,0.0013698492,0.0042947917,0.0014400047,0.001857367,0.5712998,0.054922346,0.0026988434,0.01910435,0.0035358835],"about_ca_topic_score_codex":0.000031272022,"about_ca_topic_score_gemma":0.0000018927462,"teacher_disagreement_score":0.58831924,"about_ca_system_score_codex":0.00013821445,"about_ca_system_score_gemma":0.000074829164,"threshold_uncertainty_score":0.99963486},"labels":[],"label_agreement":null},{"id":"W4285736942","doi":"10.1016/j.jcct.2022.06.075","title":"464 Predictive Value Of Coronary Computed Tomography Angiography Compared To Myocardial Perfusion Imaging In Patients With Coronary Stents","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Myocardial perfusion imaging; Predictive value; Coronary angiography; Radiology; Perfusion; Perfusion scanning; Cardiology; Internal medicine; Computed tomography; Computed tomography angiography; Myocardial infarction","score_opus":0.005126845503027315,"score_gpt":0.20206522246545847,"score_spread":0.19693837696243116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285736942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725867,0.015465141,0.008511831,0.00009664277,0.0013902765,0.001413571,0.00020652675,0.00006966628,0.00025966525],"genre_scores_gemma":[0.9946055,0.000041839667,0.004491134,0.00033849617,0.00023190293,0.000027948758,0.00017664924,0.00008543078,0.0000011211396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99385834,0.00075424,0.0012295342,0.0006085015,0.002926312,0.0006230883],"domain_scores_gemma":[0.9964584,0.00023623258,0.0005848011,0.00084340153,0.0013557886,0.00052138284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011533704,0.000530846,0.001986828,0.004155807,0.00023527029,0.000042593805,0.0004683151,0.00008676322,0.000018617495],"category_scores_gemma":[0.000042545926,0.00050058495,0.005130054,0.0044909767,0.00024305159,0.00023244183,0.00041775577,0.00088807347,0.0000015792538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040179933,0.0013160256,0.8535276,0.00007119922,0.00642812,0.00070421014,0.00044225395,0.12710376,0.000024540095,0.0000052728756,0.0019229385,0.004436081],"study_design_scores_gemma":[0.016432215,0.0024640888,0.9731326,0.0005906987,0.0029188783,0.0007286336,0.00039720247,0.0012521896,0.000040650277,0.000023170223,0.0015603788,0.00045928796],"about_ca_topic_score_codex":0.000086158536,"about_ca_topic_score_gemma":5.8952e-7,"teacher_disagreement_score":0.12585157,"about_ca_system_score_codex":0.00018954523,"about_ca_system_score_gemma":0.00023329833,"threshold_uncertainty_score":0.9997446},"labels":[],"label_agreement":null},{"id":"W4292545849","doi":"10.1016/j.jcct.2022.08.003","title":"Pre-procedural planning of coronary revascularization by cardiac computed tomography","year":2022,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"GE Healthcare; Boston Scientific Corporation; Novartis; Abbott Laboratories","keywords":"Medicine; Fractional flow reserve; Conventional PCI; Coronary artery disease; Revascularization; Percutaneous coronary intervention; Radiology; Cardiology; CAD; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.00812851155105661,"score_gpt":0.22899267023546369,"score_spread":0.22086415868440706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292545849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6637397,0.2427694,0.08764724,0.0003074544,0.0034185497,0.0011509926,0.00020819055,0.00019485982,0.00056365813],"genre_scores_gemma":[0.9939597,0.00027305042,0.0046638334,0.0002734214,0.0005014833,0.00001724601,0.00022726557,0.00007345944,0.000010527263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99521625,0.00059332926,0.0011288044,0.00040319664,0.002225937,0.00043247922],"domain_scores_gemma":[0.9970501,0.00022680227,0.00067805214,0.0007443235,0.0009743273,0.0003263703],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016289309,0.00037869127,0.0017608434,0.0013616054,0.00026039334,0.000046134348,0.00036180817,0.00012278275,0.00001687611],"category_scores_gemma":[0.00011461346,0.00038075773,0.0060386523,0.0024184636,0.00017288518,0.00018947797,0.00022273762,0.00090463524,7.4051394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015050608,0.0012993073,0.61847043,0.0009122427,0.04744724,0.0013243828,0.0011162413,0.22510807,0.0026409838,0.00008826985,0.08128731,0.018800441],"study_design_scores_gemma":[0.015504653,0.0030841657,0.8078916,0.0012055896,0.01398251,0.0064993277,0.0008390596,0.004395031,0.0042007817,0.00020034226,0.14096914,0.0012277793],"about_ca_topic_score_codex":0.00002720583,"about_ca_topic_score_gemma":4.2067676e-8,"teacher_disagreement_score":0.33022004,"about_ca_system_score_codex":0.00010314899,"about_ca_system_score_gemma":0.0002473616,"threshold_uncertainty_score":0.99986446},"labels":[],"label_agreement":null},{"id":"W4308388088","doi":"10.1016/j.jcct.2022.11.001","title":"Computed tomography imaging for subclinical leaflet thrombosis following surgical and transcatheter aortic valve replacement","year":2022,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Providence Health Care","funders":"National Health and Medical Research Council; Royal Australasian College of Physicians; National Heart Foundation of Australia","keywords":"Subclinical infection; Medicine; Radiology; Computed tomography; Thrombosis; Aortic valve replacement; Valve replacement; Cardiology; Internal medicine; Stenosis","score_opus":0.03955931240313645,"score_gpt":0.35761338030033574,"score_spread":0.3180540678971993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308388088","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015301224,0.9911515,0.0029967427,0.000040143685,0.001733237,0.0022645663,0.00014962406,0.00007911352,0.00005493818],"genre_scores_gemma":[0.008671413,0.9876198,0.0018896133,0.00007658962,0.00096947333,0.0001652895,0.00039843287,0.00020524723,0.000004138622],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99342763,0.0008262722,0.002278992,0.0010029502,0.0017436208,0.00072052755],"domain_scores_gemma":[0.9960525,0.0008848406,0.00094798923,0.0010742311,0.00030480998,0.0007356257],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0020847365,0.0009960636,0.0069664833,0.0016918705,0.00031131937,0.0001569569,0.00037751443,0.00029421694,0.000033990327],"category_scores_gemma":[0.00005390462,0.0008062178,0.12304417,0.001450511,0.00015535518,0.00015714651,0.00018203749,0.001040695,0.0000013842472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003966795,0.001002625,0.007947053,0.007897939,0.28395152,0.00045424086,0.00007873264,0.000051447078,7.0248994e-8,0.000014493336,0.0006004848,0.6976047],"study_design_scores_gemma":[0.010132099,0.0010801431,0.00332564,0.0062182047,0.1413852,0.0018626192,0.000046037043,0.00007640974,2.5850198e-7,0.000037361973,0.83512384,0.0007121674],"about_ca_topic_score_codex":0.000009516481,"about_ca_topic_score_gemma":8.954704e-8,"teacher_disagreement_score":0.8345234,"about_ca_system_score_codex":0.00018633546,"about_ca_system_score_gemma":0.00035029996,"threshold_uncertainty_score":0.9994389},"labels":[],"label_agreement":null},{"id":"W4311146126","doi":"10.1016/j.jcct.2022.11.002","title":"Prognostic value of coronary calcium score post coronary artery bypass graft surgery","year":2022,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Mace; Asymptomatic; Cardiology; Internal medicine; Agatston score; Coronary artery calcium; Coronary Calcium Score; Coronary artery disease; Calcification; Artery; Framingham Risk Score; Coronary artery bypass surgery; Disease; Percutaneous coronary intervention; Myocardial infarction","score_opus":0.017657358446627514,"score_gpt":0.22818602500544583,"score_spread":0.2105286665588183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311146126","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25303096,0.5518862,0.014617662,0.13686727,0.03469791,0.005097497,0.00199343,0.0006113281,0.0011977343],"genre_scores_gemma":[0.7458619,0.0037315376,0.0042564697,0.21432574,0.02589545,0.000114151655,0.004693654,0.0009859946,0.00013511229],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99132377,0.0011063607,0.002118955,0.00071387127,0.0038713876,0.00086562725],"domain_scores_gemma":[0.99236166,0.0022236386,0.0014306274,0.0015772473,0.002008756,0.0003980919],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001893086,0.0009115312,0.004436398,0.0030879998,0.0001752231,0.00007452725,0.0005858503,0.0007460249,0.00008257274],"category_scores_gemma":[0.000519313,0.0008630035,0.0158787,0.0015982082,0.00043968493,0.00019008448,0.00031067405,0.004669735,0.0000067110273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050968735,0.00039645762,0.13180938,0.0015563333,0.039869614,0.07496184,0.000074269294,0.0020124854,0.000019905274,0.0000030595043,0.74487865,0.003908309],"study_design_scores_gemma":[0.0038093827,0.0014400874,0.32568097,0.0027095806,0.023770465,0.06912169,0.000065952816,0.00008280771,0.00006296856,0.00006152134,0.5721953,0.0009993217],"about_ca_topic_score_codex":0.000056274406,"about_ca_topic_score_gemma":2.2462258e-7,"teacher_disagreement_score":0.5481547,"about_ca_system_score_codex":0.0002142533,"about_ca_system_score_gemma":0.0013810293,"threshold_uncertainty_score":0.9993821},"labels":[],"label_agreement":null},{"id":"W4324031109","doi":"10.1016/j.jcct.2023.03.001","title":"The journal of cardiovascular computed tomography: A year in review: 2022","year":2023,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital","funders":"National Institutes of Health; British Heart Foundation; National Institute for Health and Care Research; JenaValve; Fondazione Istituto Europeo di Oncologia e Centro Cardiologico Monzino; Abbott Northwestern Hospital Foundation; Kowa Company; Northwestern University; Circle Cardiovascular Imaging; Boston Scientific Corporation; Siemens Healthineers; Edwards Lifesciences; American Heart Association","keywords":"Medicine; Computed tomography; Radiology; Medical physics; Cardiology","score_opus":0.007899357801988553,"score_gpt":0.24567760454731694,"score_spread":0.23777824674532838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324031109","genre_codex":"review","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017698405,0.5902477,0.003188907,0.00019247356,0.4053519,0.0005868721,0.00007323082,0.000054607583,0.00012730321],"genre_scores_gemma":[0.0011947067,0.4853193,0.0017901455,0.00014172966,0.5109842,0.000013922298,0.00016696434,0.00035944537,0.000029651022],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9855704,0.0020294485,0.00342193,0.00058302114,0.0074169203,0.0009783207],"domain_scores_gemma":[0.9852836,0.0036437602,0.002149558,0.002257203,0.0060058464,0.00066000427],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015118156,0.00097002514,0.006172105,0.0033932244,0.00023532048,0.00019359807,0.0014481151,0.0009085313,0.000007029201],"category_scores_gemma":[0.004603173,0.0007277553,0.025212377,0.005155866,0.0004155442,0.0002225043,0.00033665728,0.0053513045,0.0000137936395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040150888,0.00019610462,0.00053639984,0.0018714685,0.056753833,0.004344336,0.00007588498,0.005980434,0.0000021077003,0.0000028045565,0.91636205,0.013473097],"study_design_scores_gemma":[0.0072843847,0.00073136983,0.0022309502,0.014986198,0.024787176,0.0017537811,0.00009256317,0.00006769073,0.000016859842,0.000050880262,0.94738895,0.00060921354],"about_ca_topic_score_codex":0.000097281285,"about_ca_topic_score_gemma":0.0000040094737,"teacher_disagreement_score":0.10563223,"about_ca_system_score_codex":0.00029427398,"about_ca_system_score_gemma":0.0015038102,"threshold_uncertainty_score":0.9995174},"labels":[],"label_agreement":null},{"id":"W4361011611","doi":"10.1016/j.jcct.2023.03.008","title":"Multimodal imaging of isolated tricuspid valve calcification causing severe tricuspid valve stenosis","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Tricuspid stenosis; Tricuspid valve; Calcification; Cardiology; Internal medicine; Radiology; Stenosis; Calcinosis","score_opus":0.013447975778773363,"score_gpt":0.280190482594516,"score_spread":0.26674250681574263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361011611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582463,0.026241431,0.013274634,0.00012982772,0.00095864123,0.0006863458,0.00006428786,0.00013958543,0.000258951],"genre_scores_gemma":[0.99724144,0.0010148474,0.0011135363,0.000046547008,0.00042029642,0.0000084819985,0.00008635078,0.00006147056,0.000007007502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965489,0.00027041975,0.0010337003,0.00037855524,0.0013362641,0.00043216278],"domain_scores_gemma":[0.99683005,0.00013970798,0.0006207084,0.00065927824,0.0013765455,0.0003737202],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0008360638,0.00035571054,0.0014451115,0.001804482,0.00013036311,0.000050322913,0.0001572451,0.0001321323,0.000010810197],"category_scores_gemma":[0.00007182729,0.00030201444,0.019165803,0.0033343083,0.00008264134,0.00022788816,0.0000758246,0.0003424845,0.0000092689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001037571,0.0011549949,0.7583052,0.00055174745,0.12218751,0.0014829796,0.00051115104,0.029924072,0.0008994029,0.00001978672,0.0018156569,0.08210995],"study_design_scores_gemma":[0.009815614,0.0003782747,0.96486014,0.0005100705,0.017424375,0.0008032383,0.0002811578,0.003986287,0.0005895557,0.00004182049,0.000966011,0.00034344973],"about_ca_topic_score_codex":0.000074682386,"about_ca_topic_score_gemma":1.2924009e-7,"teacher_disagreement_score":0.20655498,"about_ca_system_score_codex":0.00013261448,"about_ca_system_score_gemma":0.00016833613,"threshold_uncertainty_score":0.9999432},"labels":[],"label_agreement":null},{"id":"W4365150145","doi":"10.1016/j.jcct.2023.04.001","title":"Extensive coronary artery calcification is associated with all-cause mortality patients with a history of cancer","year":2023,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Artificial Intelligence in Medicine (Canada); University of Calgary","funders":"","keywords":"Medicine; Coronary artery disease; Internal medicine; Cancer; Retrospective cohort study; Cardiology; Breast cancer; Disease; Oncology","score_opus":0.027340076259298497,"score_gpt":0.2507158632876694,"score_spread":0.22337578702837094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365150145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6774504,0.23177172,0.009988572,0.0579293,0.0133475885,0.0055293418,0.0022520602,0.00064930983,0.0010816532],"genre_scores_gemma":[0.670287,0.010438748,0.0026176004,0.291904,0.015515461,0.00022391898,0.006689582,0.001437326,0.000886365],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9954712,0.00029917213,0.0008600386,0.00045132404,0.0025210583,0.00039720224],"domain_scores_gemma":[0.99324405,0.00029012113,0.0013082966,0.00093538035,0.004038057,0.00018407125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004274944,0.00049618294,0.0021152417,0.0010153782,0.000034965382,0.000021434818,0.00020624981,0.00046425176,0.000009622803],"category_scores_gemma":[0.000114038005,0.00038087027,0.0027597598,0.0007408511,0.00030443192,0.00011601494,0.000041699772,0.0016727189,0.0000020909074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025537403,0.00021494488,0.1623294,0.00032655732,0.12595189,0.0075380397,0.00019923625,0.000902816,0.0000021390306,2.4778072e-7,0.70134056,0.00093882374],"study_design_scores_gemma":[0.0062641245,0.00074096135,0.7774892,0.0025622956,0.044682954,0.00053924497,0.000019937801,0.0000607632,0.000010878798,0.000006373848,0.1671442,0.0004790806],"about_ca_topic_score_codex":0.00011889768,"about_ca_topic_score_gemma":0.0000040573254,"teacher_disagreement_score":0.6151598,"about_ca_system_score_codex":0.0006165327,"about_ca_system_score_gemma":0.0008274289,"threshold_uncertainty_score":0.99986434},"labels":[],"label_agreement":null},{"id":"W4378384409","doi":"10.1016/j.jcct.2023.05.004","title":"Coronary CT-based FFR in patients with acute myocardial infarction might predict follow-up invasive FFR: The XPECT-MI study","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Innovációs és Technológiai Minisztérium; Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Semmelweis Egyetem","keywords":"Medicine; Cardiology; Myocardial infarction; Internal medicine; Fractional flow reserve; Radiology; Coronary angiography","score_opus":0.006910419255453829,"score_gpt":0.21295323114339004,"score_spread":0.20604281188793622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378384409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99335825,0.0020645817,0.0010955737,0.00028214214,0.0018259684,0.0011171353,0.000027102946,0.00009834755,0.00013087715],"genre_scores_gemma":[0.9987273,0.00012957914,0.00021435838,0.00024430812,0.0005194422,0.000029781662,0.00007280143,0.000056297627,0.000006097555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960566,0.00052370795,0.0006782185,0.00035195425,0.0019641637,0.0004253486],"domain_scores_gemma":[0.9974752,0.0004377462,0.00028995276,0.0007551264,0.00080960616,0.00023235402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012587076,0.0003420048,0.0010939555,0.0013210988,0.00016035936,0.00007894436,0.00025786148,0.00007694589,0.0000044310614],"category_scores_gemma":[0.00018358445,0.00023386304,0.0024954197,0.0026292477,0.00014732793,0.000183062,0.00009043109,0.00074023474,0.000008884503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012735702,0.00050317723,0.9518338,0.000033788125,0.018978031,0.0026487326,0.00037088417,0.015364295,0.000004591385,0.0000013073843,0.005778912,0.0032089376],"study_design_scores_gemma":[0.023754444,0.0019120217,0.9641616,0.0002984676,0.00569133,0.00037722077,0.0003232888,0.00020624012,0.000044735232,0.00001401231,0.0029752755,0.00024140085],"about_ca_topic_score_codex":0.00005614884,"about_ca_topic_score_gemma":0.000008365751,"teacher_disagreement_score":0.022480873,"about_ca_system_score_codex":0.00010756901,"about_ca_system_score_gemma":0.0003731069,"threshold_uncertainty_score":0.9536658},"labels":[],"label_agreement":null},{"id":"W4383265571","doi":"10.1016/j.jcct.2023.06.004","title":"Accuracy of a virtual PCI planner based on coronary CT angiography in calcific lesions","year":2023,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Fractional flow reserve; Conventional PCI; Percutaneous coronary intervention; Coronary artery disease; Cardiology; Revascularization; Internal medicine; Angina; Radiology; Coronary angiography; Myocardial infarction","score_opus":0.02427681988110678,"score_gpt":0.2640879743438639,"score_spread":0.2398111544627571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383265571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38028824,0.27141652,0.058890816,0.2448079,0.02745966,0.009401452,0.0039470783,0.0009477974,0.0028405294],"genre_scores_gemma":[0.9312499,0.0033002775,0.0030719682,0.053951055,0.0062247263,0.00006544357,0.001579374,0.0004398079,0.00011742009],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99506366,0.00049742305,0.0015996897,0.0004701443,0.0018712104,0.00049789593],"domain_scores_gemma":[0.9956922,0.0014992888,0.0008255314,0.0011208655,0.00065501535,0.00020711473],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00092221575,0.0005598814,0.0021608374,0.0064537884,0.00006830964,0.000037656722,0.00048767828,0.00047161424,0.000053598065],"category_scores_gemma":[0.00024014921,0.00048479452,0.014845442,0.002784773,0.00019533762,0.00009916248,0.000092101305,0.00260921,0.000011525325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066271116,0.0010925016,0.018494356,0.00075760466,0.015899187,0.05515577,0.000051948547,0.030648401,0.000006287515,0.000012559326,0.84729326,0.029925393],"study_design_scores_gemma":[0.012527788,0.006027133,0.15305491,0.012735711,0.0077722482,0.004177883,0.00012392622,0.002179842,0.000043947035,0.000112729096,0.80031234,0.0009315673],"about_ca_topic_score_codex":0.00006638217,"about_ca_topic_score_gemma":0.0000036342071,"teacher_disagreement_score":0.5509617,"about_ca_system_score_codex":0.00008687144,"about_ca_system_score_gemma":0.00035395162,"threshold_uncertainty_score":0.9997604},"labels":[],"label_agreement":null},{"id":"W4384817610","doi":"10.1016/j.jcct.2023.06.005","title":"Technical recommendations for computed tomography guidance of intervention in the right ventricular outflow tract: Native RVOT, conduits and bioprosthetic valves:","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; St. Paul's Hospital; University of British Columbia","funders":"Minneapolis Heart Institute Foundation; Minneapolis Heart Institute; Northwestern University","keywords":"Medicine; Ventricular outflow tract; Context (archaeology); Intervention (counseling); Guideline; Radiology; Computed tomography; Percutaneous; Pulmonary valve; Medical physics; Cardiology; Pathology","score_opus":0.019820106239413132,"score_gpt":0.28816440623309775,"score_spread":0.2683442999936846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384817610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.854807,0.102065906,0.034547184,0.0034634874,0.00095999526,0.00359951,0.00019987432,0.00014322478,0.00021382667],"genre_scores_gemma":[0.9959705,0.00038440523,0.0033167575,0.00007400121,0.00013891472,0.000051646944,0.00003716066,0.000022850985,0.0000037986915],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99752486,0.0003193194,0.0009126802,0.00026795402,0.00067657535,0.0002986357],"domain_scores_gemma":[0.9980373,0.0003970296,0.00029754086,0.00035835465,0.00079069374,0.000119077245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002028194,0.00022926524,0.00090906525,0.0015005969,0.00013127629,0.000033798016,0.00021903268,0.00010416869,0.000003910237],"category_scores_gemma":[0.00015361467,0.00016746068,0.0029550502,0.002780018,0.00022977962,0.00014068928,0.00008331587,0.00034809543,6.9914745e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038462237,0.014011456,0.23858137,0.009912772,0.07451537,0.008835194,0.009607307,0.0037148488,0.0016144419,0.0040228004,0.037528876,0.5938093],"study_design_scores_gemma":[0.016423712,0.0027696197,0.9240572,0.0037162807,0.0053971023,0.0027699613,0.0015598105,0.004451863,0.0010654026,0.0031586895,0.034042258,0.0005881059],"about_ca_topic_score_codex":0.000007666614,"about_ca_topic_score_gemma":0.0000042813076,"teacher_disagreement_score":0.6854758,"about_ca_system_score_codex":0.000034908153,"about_ca_system_score_gemma":0.000057089477,"threshold_uncertainty_score":0.6828848},"labels":[],"label_agreement":null},{"id":"W4384945030","doi":"10.1016/j.jcct.2023.05.185","title":"Association Of Quantitative Coronary Artery Calcium Density Volume With Major Adverse Cardiovascular Events In A Wide Spectrum Of Patients Who Referred For Cardiac Imaging Testing","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Hounsfield scale; Mace; Coronary artery calcium; Cardiology; Myocardial perfusion imaging; Internal medicine; Coronary artery disease; Cardiac imaging; Coronary Calcium Score; Calcification; Perfusion; Radiology; Computed tomography; Myocardial infarction; Percutaneous coronary intervention","score_opus":0.014527694417248521,"score_gpt":0.23784941000119805,"score_spread":0.22332171558394953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973257,0.0048086606,0.020058597,0.00010199099,0.00068315427,0.0008959761,0.00009728461,0.000042509764,0.00005480545],"genre_scores_gemma":[0.99428403,0.00010117328,0.0052711107,0.000026380887,0.00016904037,0.000013566568,0.000069594666,0.000056490568,0.000008627267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960979,0.00041600692,0.0010273276,0.00034789485,0.0016169988,0.0004938503],"domain_scores_gemma":[0.9955792,0.00082336983,0.0007853487,0.0005375983,0.0021066726,0.00016784204],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00288039,0.00030268732,0.002118633,0.0013080654,0.00007280328,0.0000103787215,0.00015043162,0.000113632756,6.8945985e-7],"category_scores_gemma":[0.0012636338,0.00028404227,0.0042160084,0.002046189,0.00008889815,0.00022070523,0.000080003745,0.0003830513,0.0000012474254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063212606,0.00018268164,0.96139014,0.00035783905,0.017733373,0.00024708008,0.00026696097,0.01681286,0.000044807537,0.0000031306045,0.00082872587,0.0015002985],"study_design_scores_gemma":[0.008650048,0.00056874193,0.98015136,0.0011281315,0.0058855354,0.00008245598,0.00029204902,0.0018889826,0.00043754303,0.00006674377,0.0005975176,0.00025090604],"about_ca_topic_score_codex":0.00012614399,"about_ca_topic_score_gemma":0.0000036295532,"teacher_disagreement_score":0.021026993,"about_ca_system_score_codex":0.0002320491,"about_ca_system_score_gemma":0.00023429275,"threshold_uncertainty_score":0.9999612},"labels":[],"label_agreement":null},{"id":"W4384945043","doi":"10.1016/j.jcct.2023.05.115","title":"Assessment Of The Relationship Between Coronary Artery Atherosclerosis And Statin Prescription In Patients Without Known Coronary Artery Disease: A Study Based On Coronary Angiotomography","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Coronary artery disease; Cardiology; Asymptomatic; Internal medicine; Coronary atherosclerosis; CAD; Subclinical infection; Radiology; Coronary angiography; Predictive value; Myocardial infarction","score_opus":0.022451979981612684,"score_gpt":0.26487119523191555,"score_spread":0.24241921525030286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958975,0.0010230424,0.0010287485,0.000095993935,0.00046417525,0.0013142624,0.00009450357,0.00005047951,0.000031352043],"genre_scores_gemma":[0.9990457,0.000046508136,0.00053193833,0.00009261764,0.00013249663,0.000028608534,0.00007344316,0.000046017893,0.0000026437106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960898,0.000855557,0.00084543496,0.00035645647,0.0015550046,0.0002977474],"domain_scores_gemma":[0.99751055,0.0007703475,0.00038246508,0.00071847846,0.00036289424,0.0002552403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013044112,0.000306946,0.000933612,0.0013218913,0.0001309743,0.000041845826,0.00018280547,0.00009419778,0.0000021147287],"category_scores_gemma":[0.00016850978,0.00024194138,0.0016819052,0.0017031288,0.00017971997,0.00015993265,0.00009574566,0.0005752063,8.256553e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033318147,0.0010300556,0.98894656,0.00011894751,0.0021673334,0.00013573158,0.00017536989,0.0047259205,0.000005712013,0.000004935149,0.00030014198,0.0020561276],"study_design_scores_gemma":[0.009680178,0.0013087975,0.98406136,0.0010434792,0.0022011364,0.000031756852,0.00014416326,0.0011976693,0.000003101201,0.00005867933,0.00006251635,0.00020718554],"about_ca_topic_score_codex":0.0000076030587,"about_ca_topic_score_gemma":9.70327e-7,"teacher_disagreement_score":0.009346996,"about_ca_system_score_codex":0.00008053306,"about_ca_system_score_gemma":0.00018033873,"threshold_uncertainty_score":0.9866083},"labels":[],"label_agreement":null},{"id":"W4384945129","doi":"10.1016/j.jcct.2023.05.119","title":"Vessel Distribution Of Coronary Artery Calcium From Gated CT And Low-dose Ungated CT Imaging Does Not Improve The Prediction Of MACE In Patients Referred For SPECT","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mace; Medicine; Coronary artery calcium; Single-photon emission computed tomography; Coronary artery disease; Radiology; Cardiology; Artery; Emission computed tomography; Internal medicine; Nuclear medicine; Positron emission tomography; Myocardial infarction; Percutaneous coronary intervention","score_opus":0.009756042691055884,"score_gpt":0.22699004004663514,"score_spread":0.21723399735557927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99131894,0.0023944755,0.0036914716,0.00014786293,0.0010497846,0.00051273283,0.0008458601,0.000032802367,0.000006051669],"genre_scores_gemma":[0.9989181,0.00024319587,0.00014530572,0.000022704387,0.00018829385,0.000005147898,0.00045345584,0.000022601125,0.0000011572056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980941,0.00017614069,0.0007152235,0.00021377299,0.0005869503,0.00021380828],"domain_scores_gemma":[0.998185,0.0004314975,0.00035752138,0.00034221547,0.00058845204,0.00009531469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007643458,0.00017936846,0.00076956925,0.00040278753,0.000050291088,0.000020653833,0.00009873638,0.000028886616,6.49447e-7],"category_scores_gemma":[0.00028174743,0.00012483848,0.0011112546,0.00075943454,0.0001342712,0.000116942,0.00005245482,0.00027270333,2.2413164e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019552822,0.00047806886,0.9528281,0.00044515103,0.0075700986,0.0005717395,0.0002614739,0.0038913274,0.006505011,0.0000066841903,0.0021147449,0.023372283],"study_design_scores_gemma":[0.0089385575,0.00025800779,0.96659744,0.0005845422,0.001616468,0.00014896174,0.00014933324,0.0076728794,0.01347601,0.0000727655,0.00037517148,0.00010987001],"about_ca_topic_score_codex":0.00009364981,"about_ca_topic_score_gemma":6.8249994e-7,"teacher_disagreement_score":0.023262413,"about_ca_system_score_codex":0.00005346676,"about_ca_system_score_gemma":0.00007179669,"threshold_uncertainty_score":0.50907654},"labels":[],"label_agreement":null},{"id":"W4384945184","doi":"10.1016/j.jcct.2023.05.182","title":"Association Of Thoracic Aortic Calcium With Incident Cardiovascular Disease And All-Cause Mortality Across The Spectrum Of Coronary Artery Calcium Burden","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Thoracic aorta; Coronary artery disease; Calcification; Calcium; Coronary Calcium Score; Risk stratification; Ascending aorta; Aorta; Radiology","score_opus":0.024095033632000232,"score_gpt":0.2988270997839571,"score_spread":0.2747320661519569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658166,0.02547573,0.0071326364,0.0005048504,0.0004495591,0.00048102628,0.00006574186,0.000048248497,0.000025601066],"genre_scores_gemma":[0.99760973,0.0015379286,0.00016798642,0.000050757837,0.0005479229,0.000008554593,0.000026478043,0.000042072144,0.000008545319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99565196,0.00046201053,0.0008420773,0.00031166442,0.0022976154,0.00043465066],"domain_scores_gemma":[0.99690986,0.00035434013,0.0005714785,0.0010223668,0.000802494,0.0003394717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031274557,0.00029340142,0.0014285764,0.00040204523,0.000102270664,0.000050047114,0.00020443929,0.00011474576,0.000001875898],"category_scores_gemma":[0.00027189477,0.00020666886,0.003624746,0.0012325338,0.00026738312,0.0001527094,0.00014179875,0.0004708704,0.0000015149243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060406287,0.0001940897,0.749809,0.0006827634,0.1921012,0.0027615174,0.00088377955,0.047032725,0.00016107607,0.000008601152,0.00093842397,0.0048227445],"study_design_scores_gemma":[0.0023723107,0.00027350092,0.9573574,0.00047010626,0.034995105,0.00076666585,0.0004030601,0.0011606552,0.0007125438,0.00008048538,0.0011850448,0.00022312932],"about_ca_topic_score_codex":0.00015291733,"about_ca_topic_score_gemma":0.000002966276,"teacher_disagreement_score":0.20754836,"about_ca_system_score_codex":0.000096380354,"about_ca_system_score_gemma":0.00020359026,"threshold_uncertainty_score":0.8427712},"labels":[],"label_agreement":null},{"id":"W4384945204","doi":"10.1016/j.jcct.2023.05.162","title":"Prognostic Value Of Coronary Calcium Score Post Coronary Artery Bypass Graft Surgery","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Coronary artery calcium; Risk stratification; Artery; Agatston score; Coronary artery bypass surgery; Coronary Calcium Score; Bypass grafting; Coronary artery disease","score_opus":0.019924628457065698,"score_gpt":0.24249594988804968,"score_spread":0.222571321430984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592384,0.031305972,0.00544722,0.0004721027,0.0026224784,0.0004979261,0.000062369894,0.00017624104,0.00017727476],"genre_scores_gemma":[0.9970864,0.00066201476,0.00094013655,0.00024473216,0.00085546775,0.0000078455505,0.00011460254,0.000077209144,0.00001158683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99594086,0.00034508185,0.0011552295,0.00034734703,0.0016671066,0.0005443602],"domain_scores_gemma":[0.9956968,0.0012187633,0.00044994956,0.00076275796,0.0014402131,0.00043155105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016984269,0.0003754042,0.0018600142,0.0018955163,0.00009691463,0.00004001304,0.00023391824,0.00018454425,0.000009162813],"category_scores_gemma":[0.00056473183,0.0003360909,0.0062439786,0.0021914279,0.00026969126,0.00018431297,0.00012548945,0.0006064387,0.000018315837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052376563,0.00044778344,0.9163186,0.00060613133,0.01885043,0.014962589,0.00015486468,0.0075289127,0.00045092142,0.00003303546,0.024746722,0.015376265],"study_design_scores_gemma":[0.002714477,0.00050935824,0.9722873,0.0012121229,0.004551402,0.012380453,0.0001165382,0.000484679,0.00047079238,0.00009441912,0.0048555196,0.0003229683],"about_ca_topic_score_codex":0.00002531861,"about_ca_topic_score_gemma":3.3553715e-7,"teacher_disagreement_score":0.055968694,"about_ca_system_score_codex":0.000054321903,"about_ca_system_score_gemma":0.0004909696,"threshold_uncertainty_score":0.9999091},"labels":[],"label_agreement":null},{"id":"W4384945376","doi":"10.1016/j.jcct.2023.05.125","title":"Is There Gender Difference In Statin Prescription?","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Coronary artery disease; Coronary angiography; Incidence (geometry); Medical prescription; Internal medicine; Cardiology; CAD; Statin; Angiography; Radiology; Myocardial infarction","score_opus":0.02782037771747172,"score_gpt":0.26429227958083235,"score_spread":0.23647190186336062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9454571,0.04246183,0.010001074,0.00031681373,0.00058152573,0.00054015237,0.000009553801,0.000087823355,0.00054410886],"genre_scores_gemma":[0.9940007,0.0032184198,0.0018212112,0.00025619607,0.0005922987,0.000011992885,0.000009150674,0.000042697968,0.000047330628],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965642,0.00032753852,0.0007256335,0.00030255792,0.0016494333,0.00043061152],"domain_scores_gemma":[0.9982675,0.000041161606,0.00018847927,0.00077763444,0.00044835877,0.0002769064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019740579,0.00023882957,0.00108798,0.0011950035,0.00006682572,0.000044881486,0.00022328606,0.00014870428,0.000029114719],"category_scores_gemma":[0.000042542182,0.0001895453,0.0034294801,0.0021995069,0.00006115738,0.00012172819,0.00006689105,0.00059399474,0.000018616338],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011381553,0.0013262485,0.39863408,0.0033434816,0.060895484,0.013005501,0.0068263626,0.016727598,0.001340123,0.00056135195,0.018764859,0.47743675],"study_design_scores_gemma":[0.0052998234,0.0003131853,0.9617527,0.0004008626,0.00080415775,0.00089208636,0.0003440875,0.0010259883,0.00038388968,0.0006420514,0.027903054,0.00023808984],"about_ca_topic_score_codex":0.00008118007,"about_ca_topic_score_gemma":0.0000023358803,"teacher_disagreement_score":0.56311864,"about_ca_system_score_codex":0.000068270296,"about_ca_system_score_gemma":0.00020599127,"threshold_uncertainty_score":0.77294326},"labels":[],"label_agreement":null},{"id":"W4384945409","doi":"10.1016/j.jcct.2023.05.065","title":"FFR-CT Flow Profile: A Novel Approach To Assessing Myocardium At Risk In Patients With An Anomalous Right Coronary Artery","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Risk stratification; Radiology; Cardiology; Fractional flow reserve; Computed tomography; Internal medicine; Coronary angiography","score_opus":0.00976625172004355,"score_gpt":0.21109300930654065,"score_spread":0.2013267575864971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838416,0.00087587826,0.013041701,0.000051077965,0.00046530608,0.00095065986,0.000039228922,0.00013007286,0.0006044811],"genre_scores_gemma":[0.971042,0.000028971075,0.028173503,0.00011484096,0.00038638836,0.000022687678,0.00013230738,0.0000830439,0.0000162964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959609,0.00042573063,0.0008332988,0.000601507,0.0015642166,0.00061435637],"domain_scores_gemma":[0.9976493,0.00008621026,0.00033097467,0.00093762204,0.00049925485,0.00049662177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013205083,0.00045171403,0.0013760333,0.0018497712,0.00020493893,0.00009872538,0.00033245073,0.00010784337,0.000009753854],"category_scores_gemma":[0.000032168657,0.0003603754,0.0014987745,0.002618446,0.000118563774,0.000685611,0.00016905241,0.0006519332,0.000013700357],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002172578,0.0016079542,0.9105896,0.00016504766,0.007941106,0.003444082,0.0005251586,0.039560206,0.000044048407,0.000003850588,0.00057422457,0.033372182],"study_design_scores_gemma":[0.009498059,0.0019477799,0.97295815,0.0003505128,0.0011542268,0.0037822784,0.00012993188,0.0066346405,0.000043511194,0.000010763355,0.0030657495,0.00042441726],"about_ca_topic_score_codex":0.000008129664,"about_ca_topic_score_gemma":0.0000022536476,"teacher_disagreement_score":0.062368568,"about_ca_system_score_codex":0.00017887735,"about_ca_system_score_gemma":0.00016219702,"threshold_uncertainty_score":0.99988484},"labels":[],"label_agreement":null},{"id":"W4384945457","doi":"10.1016/j.jcct.2023.05.137","title":"Comparison Of AI-based Coronary CTA Interpretation And QCA For Coronary Stenosis Evaluation","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Coronary artery disease; Coronary angiography; Stenosis; Context (archaeology); Gold standard (test); Radiology; Cardiology; Internal medicine; Angiography; Diagnostic accuracy; Myocardial infarction","score_opus":0.029136090219476263,"score_gpt":0.3252512134100913,"score_spread":0.296115123190615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384945457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8355271,0.024178782,0.1378325,0.00048817342,0.0009436822,0.00084791146,0.000032135908,0.000059095197,0.000090630485],"genre_scores_gemma":[0.9952709,0.00011619174,0.00416911,0.0001267587,0.00018262929,0.000014378147,0.000092585375,0.000025859617,0.0000015813387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978541,0.00020426659,0.0006309394,0.00018473147,0.0009517328,0.00017422668],"domain_scores_gemma":[0.99732226,0.00050828286,0.0002964409,0.00027945798,0.0014614264,0.00013214414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016421352,0.00016024041,0.0009015057,0.00085408526,0.00006106137,0.000024894603,0.00008285397,0.00007666088,0.0000036096944],"category_scores_gemma":[0.0002863016,0.00014836414,0.0017381866,0.0006967279,0.00009776779,0.000105991276,0.000030157633,0.00022251351,9.1548327e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014042731,0.00033757937,0.7044756,0.0006538489,0.008579071,0.00010358545,0.00045900574,0.11151093,0.00036939606,0.000023882894,0.011394661,0.16068819],"study_design_scores_gemma":[0.0076785684,0.0012057456,0.81571215,0.00066485855,0.0060088863,0.00023616984,0.00022507801,0.16429965,0.0013367581,0.00018779267,0.002277667,0.00016669651],"about_ca_topic_score_codex":0.0000049005384,"about_ca_topic_score_gemma":2.744071e-7,"teacher_disagreement_score":0.16052149,"about_ca_system_score_codex":0.00004412655,"about_ca_system_score_gemma":0.0001918432,"threshold_uncertainty_score":0.6050114},"labels":[],"label_agreement":null},{"id":"W4386171916","doi":"10.1016/j.jcct.2023.08.010","title":"A systematic review of contrast-enhanced computed tomography calcium scoring methodologies and impact of aortic valve calcium burden on TAVI clinical outcomes","year":2023,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Work & Health; Toronto General Hospital; University of Toronto; University Health Network","funders":"Medtronic; Abbott Laboratories","keywords":"Medicine; Agatston score; Calcium; Calcification; Cardiology; Radiology; Internal medicine; Computed tomography; Coronary artery calcium","score_opus":0.11173781391898173,"score_gpt":0.45540831258142594,"score_spread":0.3436704986624442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386171916","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016695114,0.98872614,0.004283529,0.000009291535,0.0009768291,0.004008607,0.00022539303,0.00007860157,0.000022071375],"genre_scores_gemma":[0.006887768,0.9908506,0.0015421035,0.000036612746,0.00038279223,0.00007197268,0.00008169989,0.00014348736,0.0000029283767],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9875963,0.0033032638,0.0057490813,0.00076183083,0.0019849138,0.0006046327],"domain_scores_gemma":[0.98798954,0.0034359528,0.004617849,0.0016748973,0.0016268191,0.00065495877],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.0050312,0.0011849828,0.021758564,0.0023917933,0.00007233374,0.000049813632,0.0005430148,0.00052274304,0.0000045178067],"category_scores_gemma":[0.0016969701,0.00075203663,0.10003495,0.0027326925,0.0003460918,0.00011038531,0.00023222351,0.0010639813,0.0000034293303],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012147469,0.00030359026,0.0016104291,0.6355395,0.3138372,0.00019637575,0.000024318924,0.00009159942,5.337318e-7,0.0000051249235,0.0000942613,0.0481756],"study_design_scores_gemma":[0.0036784925,0.0017936723,0.021077506,0.7438586,0.22826356,0.0004028973,0.00003383251,0.000019883993,0.0000040054,0.00002560905,0.00029671725,0.0005452264],"about_ca_topic_score_codex":0.00007205616,"about_ca_topic_score_gemma":1.41189e-7,"teacher_disagreement_score":0.10831911,"about_ca_system_score_codex":0.00015674418,"about_ca_system_score_gemma":0.0006150593,"threshold_uncertainty_score":0.99949306},"labels":[],"label_agreement":null},{"id":"W4387124809","doi":"10.1016/j.jcct.2023.09.004","title":"The estimation of left ventricular function using prospective ECG-triggered coronary CT angiography","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Ejection fraction; Cardiology; Cutoff; Internal medicine; Coronary artery disease; Prospective cohort study; Receiver operating characteristic; Radionuclide angiography; Angiography; Coronary angiography; Radiology; Heart failure; Myocardial infarction","score_opus":0.010167646988173105,"score_gpt":0.2375663962031314,"score_spread":0.2273987492149583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387124809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78828394,0.08601072,0.122703746,0.00010529551,0.0019709736,0.0006650133,0.000012947305,0.00012309624,0.00012426251],"genre_scores_gemma":[0.99685055,0.00051919493,0.0022233143,0.000023057999,0.00033014888,0.0000026577038,0.000017909631,0.000030333042,0.0000028087072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976281,0.00019679213,0.00061688665,0.00019174887,0.0010909572,0.00027554252],"domain_scores_gemma":[0.9978761,0.00029373472,0.00038640777,0.00045290036,0.0008523997,0.00013842026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013055828,0.00019691001,0.0007227995,0.001179674,0.00019628427,0.000048504662,0.00012964051,0.00005945214,0.0000019195938],"category_scores_gemma":[0.00018800132,0.00014539657,0.005091757,0.0024986342,0.00015583045,0.00014244122,0.00004827857,0.0003084216,0.0000028882146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007232786,0.00029393152,0.52142537,0.0002640601,0.040918425,0.0024524103,0.00015594547,0.37406704,0.00021861478,0.00011996218,0.0036144692,0.055746514],"study_design_scores_gemma":[0.0044847527,0.00054000213,0.95179725,0.00053104816,0.009390598,0.00437649,0.00019061765,0.021836951,0.0010047927,0.0008559949,0.0047558453,0.00023568812],"about_ca_topic_score_codex":0.000014078462,"about_ca_topic_score_gemma":1.6330094e-7,"teacher_disagreement_score":0.43037188,"about_ca_system_score_codex":0.000050226266,"about_ca_system_score_gemma":0.0001305828,"threshold_uncertainty_score":0.59291},"labels":[],"label_agreement":null},{"id":"W4387399477","doi":"10.1016/j.jcct.2023.09.002","title":"Multimodality assessment of high- vs. low-gradient aortic stenosis using echocardiography and cardiac CT","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Ventricular outflow tract; Stenosis; Aortic valve; Aortic valve stenosis; Radiology","score_opus":0.013635816102272208,"score_gpt":0.29923740940143145,"score_spread":0.28560159329915924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387399477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98618853,0.009307166,0.002774855,0.000038430175,0.00093176373,0.0005564652,0.000097597884,0.00006066291,0.000044530385],"genre_scores_gemma":[0.993313,0.0026968315,0.0035942085,0.000023885717,0.00027641,0.000009108172,0.000036591617,0.000048800553,0.0000011727457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99644834,0.00036190788,0.00088717684,0.00040696032,0.0014733204,0.0004222957],"domain_scores_gemma":[0.99754065,0.000110563065,0.0004272986,0.00074349745,0.0007004334,0.00047756283],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0011131914,0.00036500208,0.0020951803,0.0015768711,0.00012008382,0.00004873266,0.00014017512,0.00008561479,0.0000035268238],"category_scores_gemma":[0.000029066436,0.0003103509,0.014152868,0.0022786788,0.00017325078,0.00015105655,0.00012027342,0.00030017327,9.5223714e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014957757,0.00033524068,0.9078774,0.00041378,0.06819898,0.0004130544,0.000046574944,0.011683436,0.00011148255,0.000033047254,0.00013243542,0.010605036],"study_design_scores_gemma":[0.0045637065,0.00041896297,0.97628224,0.0004558317,0.015358641,0.000058813876,0.000093959316,0.0020545775,0.00019555645,0.0000837737,0.00019148197,0.0002424334],"about_ca_topic_score_codex":0.00019566777,"about_ca_topic_score_gemma":5.9340287e-8,"teacher_disagreement_score":0.068404905,"about_ca_system_score_codex":0.00009713152,"about_ca_system_score_gemma":0.00016070718,"threshold_uncertainty_score":0.99993485},"labels":[],"label_agreement":null},{"id":"W4387783658","doi":"10.1016/j.jcct.2023.10.010","title":"Evaluation for artificial intelligence–based coronary artery calcification scoring model efficiency and accuracy","year":2023,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Siemens Healthineers; British Heart Foundation; TD Bank","keywords":"Medicine; Coronary artery disease; Artificial intelligence; Internal medicine; Cardiology; Coronary artery calcium; Machine learning; Computer science","score_opus":0.07016732973549906,"score_gpt":0.3116120309035396,"score_spread":0.24144470116804057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387783658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029136625,0.01932186,0.9468786,0.02710725,0.002189128,0.0013956123,0.000056488607,0.000093461844,0.00004393525],"genre_scores_gemma":[0.8621842,0.0020870273,0.04705853,0.05609297,0.029907044,0.0003293009,0.0017242893,0.000590115,0.000026487236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99585676,0.0002713412,0.00097649667,0.00045597256,0.002065963,0.0003734362],"domain_scores_gemma":[0.9953573,0.0009838159,0.00052481366,0.0006126054,0.0023762635,0.00014522501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029811158,0.00036982726,0.0011651573,0.001516449,0.00014018135,0.00012827742,0.00018322065,0.00042615234,0.0000015112614],"category_scores_gemma":[0.0010220371,0.00034933563,0.003178393,0.00072454667,0.0001294399,0.00012768457,0.00003932806,0.001160723,0.000003078801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002616082,0.00018770188,0.00031289872,0.0010277858,0.009620357,0.0012211535,0.00016363054,0.5738162,0.000049521692,0.00001705113,0.14543529,0.26788682],"study_design_scores_gemma":[0.0018216,0.0004656025,0.0015909675,0.0016726473,0.01674907,0.0012460967,0.000046947087,0.95469445,0.00022443057,0.0021311422,0.01882852,0.00052854855],"about_ca_topic_score_codex":0.0000040879,"about_ca_topic_score_gemma":1.446053e-7,"teacher_disagreement_score":0.8998201,"about_ca_system_score_codex":0.00014065971,"about_ca_system_score_gemma":0.000798273,"threshold_uncertainty_score":0.9998959},"labels":[],"label_agreement":null},{"id":"W4387850011","doi":"10.1016/j.jcct.2023.10.005","title":"Derivation and validation of a novel functional FFRCT score incorporating the burden of coronary stenosis severity and flow impairment to predict clinical events","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"HeartFlow; National Heart, Lung, and Blood Institute; Boston Scientific Corporation; Abbott Laboratories","keywords":"Medicine; Mace; Fractional flow reserve; Interquartile range; Internal medicine; Cohort; Cardiology; Revascularization; Confidence interval; Stenosis; Chest pain; Coronary artery disease; Radiology; Percutaneous coronary intervention; Coronary angiography; Myocardial infarction","score_opus":0.03095576998715588,"score_gpt":0.2711531654639161,"score_spread":0.24019739547676022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387850011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95968676,0.0014259159,0.03768886,0.00043679553,0.00038237593,0.00032977303,0.000024247216,0.000016092432,0.00000915665],"genre_scores_gemma":[0.99328697,0.0001905745,0.00597387,0.00004934819,0.00045671483,0.00000377089,0.00002541076,0.000012339899,0.0000010323125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811614,0.0001668014,0.000688161,0.00015812455,0.00076030224,0.00011046425],"domain_scores_gemma":[0.99829674,0.00035250292,0.00033977558,0.00022585911,0.0006536937,0.000131414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020627277,0.00011932523,0.00058993814,0.0003697363,0.00006289264,0.000014010359,0.000061630344,0.000066230685,9.918022e-7],"category_scores_gemma":[0.00031461383,0.000089917296,0.00082538807,0.00071604666,0.00010262432,0.00008878026,0.00009887745,0.00020119014,1.9791507e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040223627,0.00019590558,0.8930517,0.0002262741,0.00483424,0.00003197359,0.00034570022,0.07262988,0.00028585986,0.0000068363674,0.0014208934,0.026568506],"study_design_scores_gemma":[0.0032920402,0.00056457595,0.98448116,0.0005032759,0.0012567985,0.0003383354,0.00015361834,0.008863955,0.00022306487,0.0000689565,0.00017884598,0.00007535668],"about_ca_topic_score_codex":0.000019378873,"about_ca_topic_score_gemma":1.2842537e-7,"teacher_disagreement_score":0.09142948,"about_ca_system_score_codex":0.00001856037,"about_ca_system_score_gemma":0.00010094105,"threshold_uncertainty_score":0.36667207},"labels":[],"label_agreement":null},{"id":"W4388179548","doi":"10.1016/j.jcct.2023.10.007","title":"Diagnostic accuracy of virtual non-contrast CT for aortic valve stenosis severity evaluation","year":2023,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Heart, Lung, and Blood Institute; Cedars-Sinai Medical Center; Philips; Amgen","keywords":"Medicine; Stenosis; Radiology; Contrast (vision); Aortic valve stenosis; Cardiology; Internal medicine; Diagnostic accuracy; Aortic valve; Artificial intelligence","score_opus":0.011784941462260395,"score_gpt":0.24179989375986702,"score_spread":0.23001495229760663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388179548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56611073,0.005422333,0.4268271,0.000014369717,0.0010176626,0.00045281101,0.00002008876,0.000090345035,0.00004459297],"genre_scores_gemma":[0.99626803,0.0006565936,0.0026355782,0.0000119909155,0.0003405183,0.00002839726,0.0000152366365,0.000043008986,6.320861e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979594,0.00010338856,0.00066456577,0.00016152322,0.0007988947,0.00031225264],"domain_scores_gemma":[0.99792254,0.000808098,0.00021494654,0.00032223467,0.0006160534,0.00011613835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013973597,0.00021520276,0.00069857686,0.0006139745,0.0000754278,0.000034972505,0.00025287946,0.00005054674,0.000004431937],"category_scores_gemma":[0.00043630778,0.00021249359,0.002571238,0.0011241399,0.000046484613,0.0003845035,0.000032377306,0.00024423155,0.0000028279435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020931324,0.000036285444,0.00148454,0.00016402666,0.005407543,0.000023368668,0.00016949073,0.8490052,0.00036449317,0.000010513512,0.00042184588,0.14289176],"study_design_scores_gemma":[0.008127409,0.00045075163,0.22510636,0.0009295668,0.006067705,0.00022034335,0.0005230629,0.74181443,0.009651705,0.0017122854,0.004556929,0.0008394817],"about_ca_topic_score_codex":0.0000034613095,"about_ca_topic_score_gemma":4.1843077e-7,"teacher_disagreement_score":0.43015733,"about_ca_system_score_codex":0.00005162999,"about_ca_system_score_gemma":0.00005289908,"threshold_uncertainty_score":0.86652374},"labels":[],"label_agreement":null},{"id":"W4391006629","doi":"10.1016/j.jcct.2023.11.074","title":"Aortic Valve Fibrocalcific Volume By Computed Tomography Angiography In Mild To Severe Aortic Stenosis: Sex-specific Comparison With Echocardiography","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Stenosis; Cardiology; Radiology; Angiography; Aortic valve stenosis; Computed tomography angiography; Internal medicine; Aortic valve; Calcification","score_opus":0.01017156036660043,"score_gpt":0.2608949480695454,"score_spread":0.25072338770294494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391006629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70330036,0.26800415,0.024607468,0.00019172244,0.001225737,0.0017959115,0.0001923984,0.00031422134,0.00036806555],"genre_scores_gemma":[0.99368733,0.0012406443,0.00391177,0.00020867372,0.0005033052,0.00007567248,0.00016512853,0.0001946658,0.000012804453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99271375,0.0004890629,0.0018039463,0.0013008077,0.0025234185,0.0011690258],"domain_scores_gemma":[0.99602956,0.00016814668,0.00034492963,0.001409155,0.0007645286,0.0012837066],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00085699017,0.0010730001,0.003149281,0.006670184,0.00019318296,0.00045449298,0.00053609745,0.0003472839,0.000035525743],"category_scores_gemma":[0.000009529521,0.00089564075,0.029884199,0.0121711,0.0002667784,0.00043434885,0.00013300813,0.0010844799,0.00004252358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091854675,0.0011650873,0.85120654,0.0005216782,0.086267054,0.00070727436,0.0003904957,0.0104070185,0.000040287032,0.000009801112,0.027150963,0.021215232],"study_design_scores_gemma":[0.007101889,0.002375897,0.94426423,0.0030645488,0.013667016,0.00041869018,0.0004698359,0.0010718497,0.00011681101,0.00007169164,0.02621944,0.0011581009],"about_ca_topic_score_codex":0.00007782419,"about_ca_topic_score_gemma":9.3149436e-7,"teacher_disagreement_score":0.290387,"about_ca_system_score_codex":0.00019463334,"about_ca_system_score_gemma":0.00018975565,"threshold_uncertainty_score":0.9993494},"labels":[],"label_agreement":null},{"id":"W4391065906","doi":"10.1016/j.jcct.2024.01.010","title":"Coronary computed tomography angiography derived fractional flow reserve and risk of recurrent angina: A 3-year follow-up study","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"Novo Nordisk Fonden","keywords":"Medicine; Fractional flow reserve; Computed tomography angiography; Coronary angiography; Radiology; Cardiology; Stable angina; Angina; Angiography; Computed tomography; Internal medicine; Coronary artery disease; Myocardial infarction","score_opus":0.011523771954724888,"score_gpt":0.24560684287005846,"score_spread":0.23408307091533356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391065906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7883162,0.18882985,0.018871492,0.00009284834,0.0027970204,0.0007022467,0.00013056237,0.00011674511,0.00014305294],"genre_scores_gemma":[0.9884694,0.0021077623,0.008509393,0.000032174168,0.000750998,0.000011699684,0.000044729506,0.000070375965,0.0000034338073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99575394,0.0006087049,0.0010218535,0.000556937,0.0016343982,0.00042413943],"domain_scores_gemma":[0.9966446,0.0005894087,0.0003611968,0.00070012384,0.0012726075,0.00043202384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017364052,0.0004648759,0.001613322,0.0031720381,0.00015744682,0.000133482,0.00023142576,0.00017682371,0.00001604925],"category_scores_gemma":[0.00014421013,0.00040699396,0.008091591,0.0033337243,0.00027071268,0.0002714399,0.00014692413,0.0009857729,0.0000038842672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001182819,0.00091505545,0.9023024,0.00040645653,0.064576544,0.0016101623,0.00066470524,0.0031575095,0.00004063312,0.000019962501,0.00828485,0.016838899],"study_design_scores_gemma":[0.009092763,0.0022771698,0.95920414,0.0012598662,0.015185885,0.0019314195,0.00054009707,0.0028224667,0.00009299394,0.0001757458,0.006992833,0.0004246184],"about_ca_topic_score_codex":0.00008585164,"about_ca_topic_score_gemma":0.0000046979007,"teacher_disagreement_score":0.20015325,"about_ca_system_score_codex":0.00004616877,"about_ca_system_score_gemma":0.00018939424,"threshold_uncertainty_score":0.9998382},"labels":[],"label_agreement":null},{"id":"W4391364801","doi":"10.1016/j.jcct.2024.01.009","title":"Identifying left ventricular dysfunction using prospective electrocardiogram-triggered coronary computed tomography angiography","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Centre Hospitalier de l’Université de Montréal; Montreal Heart Institute; University of Ottawa","funders":"","keywords":"Medicine; Ejection fraction; Cardiology; Coronary artery disease; Internal medicine; Prospective cohort study; Cohort; Stroke volume; Heart failure","score_opus":0.011914904842782938,"score_gpt":0.2449969156512436,"score_spread":0.23308201080846067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391364801","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20232555,0.42587575,0.36488608,0.00009214854,0.004894933,0.0010137793,0.000023661083,0.00045338477,0.0004347338],"genre_scores_gemma":[0.9853379,0.0007281526,0.011609334,0.00010723412,0.0020024062,0.000008495852,0.000061696526,0.00013828815,0.000006458431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946993,0.00041097467,0.0012028718,0.0007943815,0.0020713161,0.0008211389],"domain_scores_gemma":[0.99660134,0.00025452493,0.00035214366,0.00082883995,0.0014252514,0.0005378803],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0014575478,0.0006729,0.0019032487,0.005456655,0.00029242362,0.00046426913,0.00030265911,0.00031015003,0.000019442272],"category_scores_gemma":[0.00006981954,0.000621049,0.016816575,0.006479764,0.00024791015,0.0005507277,0.00011562778,0.0012459019,0.000016088557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008961233,0.0008774391,0.7765393,0.0014580808,0.14057525,0.022232966,0.0004877561,0.024514278,0.0014024567,0.00017274606,0.009644325,0.021199262],"study_design_scores_gemma":[0.010196675,0.0015802279,0.83347374,0.004653261,0.039087024,0.062239286,0.00028051058,0.008658547,0.003810827,0.0012820973,0.033109684,0.0016281186],"about_ca_topic_score_codex":0.00004123809,"about_ca_topic_score_gemma":4.1300535e-7,"teacher_disagreement_score":0.7830124,"about_ca_system_score_codex":0.00024572152,"about_ca_system_score_gemma":0.00033438037,"threshold_uncertainty_score":0.9996241},"labels":[],"label_agreement":null},{"id":"W4391933827","doi":"10.1016/j.jcct.2024.01.016","title":"Long-term prognostic implications of CT angiography-derived fractional flow reserve: Results from the DISCOVER-FLOW study","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fractional flow reserve; Medicine; Term (time); Angiography; Radiology; Computed tomography angiography; Cardiology; Internal medicine; Coronary angiography","score_opus":0.021177299351364774,"score_gpt":0.28106108706652594,"score_spread":0.2598837877151612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391933827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89327574,0.054831512,0.047995172,0.001180919,0.0011120484,0.0008882592,0.00056368066,0.000058242764,0.000094410636],"genre_scores_gemma":[0.9957883,0.00057774043,0.0025316381,0.00004066446,0.00081362925,0.000020968877,0.00018683122,0.00003323264,0.000006998831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970291,0.00031144143,0.0010845069,0.0003500451,0.000997776,0.00022709342],"domain_scores_gemma":[0.9967244,0.0011292063,0.00029522987,0.0009109621,0.0007687208,0.00017142833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009309438,0.00024823862,0.00070563395,0.0007076477,0.0001424693,0.00012785464,0.00036505604,0.000060824204,0.000038532122],"category_scores_gemma":[0.00027315304,0.00016935646,0.006035869,0.0017298937,0.0001480585,0.00022984103,0.00010782135,0.000540821,0.0000041160147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009948558,0.0036105954,0.8327184,0.00022712446,0.067591034,0.0026053388,0.00067722326,0.01774491,0.000115422525,0.00006108102,0.01104068,0.06261335],"study_design_scores_gemma":[0.0034795252,0.0010337877,0.9819507,0.0012451417,0.006527639,0.0008076712,0.00017069411,0.0014011692,0.000051247695,0.00024125192,0.002929218,0.00016197581],"about_ca_topic_score_codex":0.00011337178,"about_ca_topic_score_gemma":0.000031648968,"teacher_disagreement_score":0.14923228,"about_ca_system_score_codex":0.000039764458,"about_ca_system_score_gemma":0.00019622668,"threshold_uncertainty_score":0.6906156},"labels":[],"label_agreement":null},{"id":"W4391934577","doi":"10.1016/j.jcct.2024.02.003","title":"Prediction of the development of new coronary atherosclerotic plaques with radiomics","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Health and Welfare; Ministry of Science, ICT and Future Planning; Ministry of Trade, Industry and Energy; Korea Medical Device Development Fund; National Research Foundation; Ministry of Science and ICT, South Korea; Ministry of Food and Drug Safety; National Research Foundation of Korea; Dalio Foundation","keywords":"Medicine; Radiomics; Confidence interval; Internal medicine; Cardiology; Coronary angiography; Radiology; Coronary atherosclerosis; Coronary anatomy; Proportional hazards model; Predictive value of tests; Coronary artery disease; Myocardial infarction","score_opus":0.015233459809437624,"score_gpt":0.2264268020825,"score_spread":0.21119334227306236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391934577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.782467,0.019642614,0.1965616,0.00023259154,0.0006995266,0.00021449871,0.0000023942127,0.000026769194,0.00015301509],"genre_scores_gemma":[0.9613144,0.00024685345,0.038063463,0.000032505424,0.00029777098,6.7070323e-7,0.0000026147434,0.000026408543,0.000015326093],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99819785,0.00008519828,0.00061030703,0.00013211234,0.0008433253,0.00013123009],"domain_scores_gemma":[0.9991185,0.00005752465,0.00021669459,0.00027135116,0.00020655773,0.00012936731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008090328,0.00013536753,0.0005743973,0.00035158472,0.00003893111,0.00001759737,0.0001808629,0.00006169181,0.0000051756933],"category_scores_gemma":[0.00003454543,0.00007903166,0.0010941052,0.0006679658,0.00013492838,0.00007663661,0.000037011945,0.0004613864,2.8717446e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009567075,0.0005689384,0.16239233,0.0028411676,0.06576815,0.0004932107,0.0077970554,0.06813627,0.009036602,0.0003790593,0.0056340103,0.6759965],"study_design_scores_gemma":[0.008727008,0.0014878775,0.83788913,0.011272259,0.0066876775,0.0066396673,0.00030653068,0.03007326,0.011897606,0.00032953435,0.08433833,0.00035109167],"about_ca_topic_score_codex":0.000006673243,"about_ca_topic_score_gemma":2.7901032e-7,"teacher_disagreement_score":0.6756454,"about_ca_system_score_codex":0.000043060332,"about_ca_system_score_gemma":0.0005143295,"threshold_uncertainty_score":0.32228178},"labels":[],"label_agreement":null},{"id":"W4392974611","doi":"10.1016/j.jcct.2024.03.007","title":"Effects of adaptive or fixed thresholds and different platforms on the assessment of plaque characteristics using coronary computed tomography angiography","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Circle Cardiovascular Imaging; University of British Columbia","funders":"","keywords":"Hounsfield scale; Medicine; Thresholding; Computed tomography angiography; Atheroma; Coronary angiography; Radiology; Computed tomography; Nuclear medicine; Artificial intelligence; Cardiology; Computer science; Image (mathematics); Myocardial infarction","score_opus":0.016813229313621333,"score_gpt":0.25696292324689773,"score_spread":0.2401496939332764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392974611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90898055,0.034232173,0.054646637,0.000076559314,0.0011497185,0.0007231797,0.000064955995,0.00004400195,0.000082235514],"genre_scores_gemma":[0.99414843,0.000841884,0.004509586,0.000087088425,0.00033882997,0.000006727992,0.000015292504,0.000051016163,0.0000011336723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705726,0.00019249231,0.0009111299,0.00032546895,0.0011940383,0.0003195824],"domain_scores_gemma":[0.99677926,0.0015194444,0.00042878257,0.00049953494,0.000542811,0.00023016868],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073593983,0.00042408096,0.0016543906,0.0016511115,0.00009665683,0.00006724125,0.00020982562,0.000163687,0.0000062832255],"category_scores_gemma":[0.000054700282,0.00025111137,0.0046840436,0.001603467,0.0003683444,0.00012063261,0.000111090005,0.0006842195,3.0701182e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030621127,0.0023686097,0.8162322,0.005984923,0.12696671,0.005293388,0.001068441,0.005667117,0.0029770029,0.0028088386,0.0032570204,0.024313647],"study_design_scores_gemma":[0.0033912226,0.0021351834,0.9680063,0.0052290987,0.007876232,0.0015628588,0.00010456657,0.008619158,0.0021397392,0.00021760279,0.000396993,0.0003210029],"about_ca_topic_score_codex":0.000012088608,"about_ca_topic_score_gemma":2.90806e-7,"teacher_disagreement_score":0.15177415,"about_ca_system_score_codex":0.000046985297,"about_ca_system_score_gemma":0.00017116708,"threshold_uncertainty_score":0.9999941},"labels":[],"label_agreement":null},{"id":"W4394061032","doi":"10.1016/j.jcct.2024.03.011","title":"Self-reported exercise activity influences the relationship between coronary computed tomography angiographic finding and mortality","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Dr. Miriam and Sheldon G. Adelson Medical Research Foundation","keywords":"Medicine; Computed tomography; Cardiology; Radiology; Internal medicine; Coronary angiography; Computed tomography angiography; Myocardial infarction","score_opus":0.03340601345786422,"score_gpt":0.2870334264114129,"score_spread":0.2536274129535487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394061032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8784506,0.1108457,0.008690409,0.00027815904,0.0008911503,0.0004784015,0.000020977119,0.00024905385,0.00009560484],"genre_scores_gemma":[0.9961853,0.0008342573,0.0021358358,0.00005519716,0.0007155513,0.0000085955135,0.000020215628,0.00004339784,0.0000016333325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967055,0.00039191838,0.00079970504,0.0004398584,0.0012779792,0.0003850728],"domain_scores_gemma":[0.99658513,0.0015529558,0.0003111113,0.00070272543,0.000494117,0.00035396265],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002326023,0.0003802416,0.0011407386,0.0017252715,0.00031190837,0.00028055182,0.00022466702,0.00020410639,0.000002082117],"category_scores_gemma":[0.0001926391,0.00027920274,0.004127273,0.0035935137,0.00034662767,0.00038463282,0.000109283865,0.0010645154,0.0000017573436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049284572,0.00009031999,0.9679899,0.00039026528,0.01943668,0.0010756869,0.00024413489,0.00048744082,0.0000106038715,0.00006753271,0.00055877905,0.0095993765],"study_design_scores_gemma":[0.0012580868,0.00017046339,0.97670966,0.0012019984,0.014422186,0.0019920168,0.000050141967,0.00067141256,0.00006585109,0.00055005355,0.002625527,0.00028260727],"about_ca_topic_score_codex":0.000040930485,"about_ca_topic_score_gemma":8.8994307e-7,"teacher_disagreement_score":0.11773477,"about_ca_system_score_codex":0.000040450483,"about_ca_system_score_gemma":0.00019587443,"threshold_uncertainty_score":0.999966},"labels":[],"label_agreement":null},{"id":"W4395688741","doi":"10.1016/j.jcct.2024.04.010","title":"Evolving role of aortic valve calcification scoring – Time for opportunistic screening?","year":2024,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Cardiology; Calcification; Internal medicine; Aortic valve; Radiology; Calcinosis","score_opus":0.010603417066786495,"score_gpt":0.28835287475218285,"score_spread":0.2777494576853964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395688741","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042680814,0.32392034,0.044944458,0.000036871428,0.62214035,0.002429957,0.0014605338,0.00016402634,0.0006353897],"genre_scores_gemma":[0.16888563,0.0031017156,0.010220001,0.000016746593,0.8151393,0.00007745527,0.002034625,0.00041084262,0.00011367004],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958466,0.00012005277,0.0011817508,0.00046575186,0.0020300886,0.00035575192],"domain_scores_gemma":[0.9951338,0.00041549993,0.0008110729,0.00076433556,0.002489485,0.00038576376],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0010008299,0.00046657605,0.0022047907,0.0012605789,0.00007707889,0.0000922929,0.0002499094,0.00045870192,0.000011303938],"category_scores_gemma":[0.00040780078,0.00041492542,0.026876684,0.00067808316,0.00008030787,0.00011772299,0.00007944649,0.00065927365,0.000005323312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010075184,0.00064562826,0.001939303,0.0044823866,0.30410162,0.00031755812,0.00013091351,0.0010022555,0.00015885635,0.000027463671,0.614193,0.07199348],"study_design_scores_gemma":[0.010787247,0.0022333218,0.011192942,0.012072437,0.211805,0.00024989594,0.000120654804,0.0078758495,0.00016972725,0.00065662287,0.7417244,0.0011119228],"about_ca_topic_score_codex":0.000024320023,"about_ca_topic_score_gemma":5.929173e-8,"teacher_disagreement_score":0.32081863,"about_ca_system_score_codex":0.00014293156,"about_ca_system_score_gemma":0.00066995644,"threshold_uncertainty_score":0.99983025},"labels":[],"label_agreement":null},{"id":"W4398224392","doi":"10.1016/j.jcct.2024.04.014","title":"Cardiac computed tomography post-transcatheter aortic valve replacement","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Medical Research Council; National Health and Medical Research Council; National Heart Foundation of Australia","keywords":"Medicine; Valve replacement; Cardiology; Stenosis; Coronary artery disease; Internal medicine; Aortic valve; Aortic valve stenosis; Radiology; Heart valve; Angiography","score_opus":0.008310505371336957,"score_gpt":0.26511985763379364,"score_spread":0.2568093522624567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398224392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6320061,0.34632912,0.013814195,0.000354052,0.0050380924,0.0011974176,0.0001542207,0.00033413336,0.0007726465],"genre_scores_gemma":[0.99511474,0.001260767,0.001905228,0.00024410799,0.0012238953,0.000020804282,0.00010545047,0.00010695491,0.00001803039],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.9956232,0.0003094401,0.0010544024,0.00063274696,0.0017836194,0.0005966331],"domain_scores_gemma":[0.99698997,0.00012756624,0.00020384874,0.0010086297,0.000983274,0.00068669504],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0009043443,0.00056889333,0.0017397845,0.0017804918,0.00012927403,0.00022294921,0.000253055,0.000195319,0.00004402741],"category_scores_gemma":[0.00002155871,0.00045749857,0.05120314,0.0019534335,0.0001366724,0.0002689302,0.00007723034,0.00060893846,0.000029714405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001852312,0.001981078,0.15857486,0.0020498428,0.6992146,0.0014578699,0.00095576706,0.002800689,0.00053760747,0.00028806555,0.009574752,0.1207126],"study_design_scores_gemma":[0.009481674,0.003766454,0.7863254,0.002928437,0.08445318,0.0019686222,0.0002606584,0.0010716106,0.000732756,0.00031057216,0.10747958,0.0012210356],"about_ca_topic_score_codex":0.000030986186,"about_ca_topic_score_gemma":1.6780359e-7,"teacher_disagreement_score":0.6277506,"about_ca_system_score_codex":0.00013528999,"about_ca_system_score_gemma":0.0002611039,"threshold_uncertainty_score":0.9997877},"labels":[],"label_agreement":null},{"id":"W4399390053","doi":"10.1016/j.jcct.2024.05.232","title":"Standards for quantitative assessments by coronary computed tomography angiography (CCTA)","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Siemens Healthineers; Kowa Company; Siemens Medical Solutions USA; Cedars-Sinai Medical Center; National Institutes of Health; Boston Scientific Corporation; AstraZeneca; American Heart Association","keywords":"Medicine; Coronary artery disease; Radiology; Coronary angiography; Clinical Practice; Cardiac imaging; Computed tomography angiography; Angiography; Quantitative assessment; Tomography; Computed tomography; Cardiology; Internal medicine; Myocardial infarction; Risk analysis (engineering)","score_opus":0.010160437134094289,"score_gpt":0.26743875900395153,"score_spread":0.2572783218698572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399390053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011457462,0.2457971,0.7389733,0.00002800083,0.002256391,0.00037773838,0.00035767077,0.00034714205,0.000405199],"genre_scores_gemma":[0.9219882,0.0014497227,0.07571417,0.00006527917,0.00046680614,0.000032778753,0.00009711904,0.00018027979,0.000005657023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966777,0.0001520737,0.0008820376,0.0004200344,0.0012558092,0.00061234663],"domain_scores_gemma":[0.99806005,0.00028023592,0.00014928897,0.0004392992,0.0007836393,0.00028746395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011144645,0.00053234375,0.0010709054,0.0018897809,0.00017493064,0.00027681893,0.00049268483,0.00016856515,0.000014527286],"category_scores_gemma":[0.000012697325,0.00051393994,0.0062916013,0.0028071434,0.00015658482,0.0008139328,0.00005313876,0.00063766644,0.0000030945569],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055680086,0.00042246576,0.0062203472,0.00253466,0.12188899,0.00103464,0.00080985035,0.5615682,0.002265344,0.001670115,0.14556041,0.15546818],"study_design_scores_gemma":[0.0071068974,0.0018982473,0.009618314,0.0025053928,0.0057645375,0.0011133561,0.0006161216,0.14870231,0.0029688966,0.0048653972,0.81245047,0.002390082],"about_ca_topic_score_codex":0.0000028459979,"about_ca_topic_score_gemma":4.4285446e-7,"teacher_disagreement_score":0.91053075,"about_ca_system_score_codex":0.00010520417,"about_ca_system_score_gemma":0.00009708899,"threshold_uncertainty_score":0.99973124},"labels":[],"label_agreement":null},{"id":"W4399740530","doi":"10.1016/j.jcct.2024.06.003","title":"Biventricular reverse-remodeling after transcatheter mitral valve replacement with the Tendyne™ system","year":2024,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Mitral valve replacement; Mitral valve; Valve replacement; Stenosis","score_opus":0.007408882087638988,"score_gpt":0.22923245639491457,"score_spread":0.2218235743072756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399740530","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023293119,0.85993284,0.020351972,0.087427214,0.004392162,0.0034756393,0.0003301325,0.0002665914,0.00053030596],"genre_scores_gemma":[0.8978284,0.0016267117,0.0023889092,0.08120063,0.015743207,0.00018407857,0.0003175564,0.0005255587,0.00018495932],"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948274,0.00039465804,0.0008973743,0.0006752366,0.0025959178,0.0006094036],"domain_scores_gemma":[0.9971411,0.00007131767,0.00041912723,0.0013127599,0.0007939183,0.0002617275],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0007396753,0.0007822597,0.0020217185,0.0010057008,0.00011764827,0.0001881257,0.00032005587,0.00047530103,0.0000141624305],"category_scores_gemma":[0.000004883173,0.0004284664,0.085103236,0.0009387597,0.00012126288,0.00010427992,0.000061027742,0.0021851147,0.00001812313],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012824239,0.00019018094,0.0021031927,0.0028157895,0.6056165,0.01614564,0.00025714608,0.003783749,7.7840326e-7,0.0000033478987,0.3653403,0.002460967],"study_design_scores_gemma":[0.0052691125,0.0009590572,0.003980601,0.0057789404,0.2108027,0.0077529433,0.00014973445,0.00021988625,0.000006931468,0.000009154791,0.764436,0.0006349425],"about_ca_topic_score_codex":0.00002297347,"about_ca_topic_score_gemma":1.71252e-7,"teacher_disagreement_score":0.87453526,"about_ca_system_score_codex":0.0003004336,"about_ca_system_score_gemma":0.0002462609,"threshold_uncertainty_score":0.9998167},"labels":[],"label_agreement":null},{"id":"W4400065351","doi":"10.1016/j.jcct.2024.05.005","title":"Coronary Ct Angiography-derived Precursors Of Acute Coronary Syndrome In Ischemia-causing Lesions","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Acute coronary syndrome; Cardiology; Coronary angiography; Ischemia; Internal medicine; Myocardial ischemia; Angiography; Radiology; Myocardial infarction","score_opus":0.011228558923991373,"score_gpt":0.24636467390928513,"score_spread":0.23513611498529374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8308273,0.16175647,0.0054572956,0.00016733665,0.0011134223,0.0002978032,0.00003577095,0.0000762928,0.00026829608],"genre_scores_gemma":[0.9925054,0.0021953257,0.004967503,0.000060585247,0.00017304206,0.0000048565043,0.000027487436,0.000059713042,0.000006110203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719447,0.00018765767,0.0008940829,0.00034112623,0.0010032525,0.0003794109],"domain_scores_gemma":[0.9983299,0.00029241832,0.00019658341,0.00053937046,0.00037110786,0.00027061385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008625457,0.00032578592,0.001373742,0.0023358809,0.000052639953,0.00005032521,0.00017064309,0.000113745344,0.000011229627],"category_scores_gemma":[0.00005023087,0.00029315636,0.007111216,0.0024656595,0.00021919727,0.00024321844,0.00009154291,0.00073321053,0.0000027162262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095221715,0.001358486,0.57294697,0.0020361166,0.14661722,0.18850811,0.0011285463,0.015315148,0.0071400236,0.00014420964,0.0071843457,0.056668635],"study_design_scores_gemma":[0.00462137,0.00077806413,0.88707006,0.00520178,0.013619556,0.07864958,0.00014935495,0.00082655135,0.0031110512,0.00017046524,0.0053243856,0.00047778338],"about_ca_topic_score_codex":0.000024580155,"about_ca_topic_score_gemma":3.5272592e-7,"teacher_disagreement_score":0.31412312,"about_ca_system_score_codex":0.000064902546,"about_ca_system_score_gemma":0.0002631698,"threshold_uncertainty_score":0.9999521},"labels":[],"label_agreement":null},{"id":"W4400065368","doi":"10.1016/j.jcct.2024.05.011","title":"Prognostic Implications Of Coronary Ct Angiography-derived Plaque And Hemodynamic Features On Acute Coronary Syndrome Across Varying Time Intervals: Emerald-ii Study","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Acute coronary syndrome; Coronary angiography; Internal medicine; Hemodynamics; Emerald; Radiology; Angiography; Myocardial infarction","score_opus":0.009190708177280332,"score_gpt":0.2662379552905209,"score_spread":0.25704724711324056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94161147,0.054424636,0.0018538147,0.00045463693,0.0005039819,0.0008518549,0.000117554315,0.00012594978,0.000056079767],"genre_scores_gemma":[0.99789476,0.00058304827,0.0010805809,0.00015435203,0.00014158485,0.000020985855,0.000048326274,0.00006752887,0.000008858054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973861,0.00023901758,0.00076175906,0.0004570724,0.0007787216,0.0003773514],"domain_scores_gemma":[0.99801403,0.0004396228,0.00022351289,0.0006274475,0.00042744697,0.00026791447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076797564,0.00039111206,0.0013332337,0.0011006679,0.00019312934,0.00010248268,0.0002332391,0.000087859065,0.0000052785144],"category_scores_gemma":[0.000060116654,0.00033166088,0.0038872513,0.0013453981,0.00021255676,0.00020277218,0.0001891215,0.0006620887,0.0000026343298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001526501,0.0041227336,0.62606865,0.0014155541,0.21820313,0.036944713,0.0040875673,0.01000826,0.0030505566,0.00006027377,0.007884771,0.0866273],"study_design_scores_gemma":[0.0029304991,0.0031191832,0.9477599,0.0016047258,0.008416592,0.034428027,0.00014062309,0.00058595923,0.00009291896,0.00011221291,0.00050456944,0.00030477345],"about_ca_topic_score_codex":0.000024620904,"about_ca_topic_score_gemma":5.576786e-7,"teacher_disagreement_score":0.32169127,"about_ca_system_score_codex":0.00005050273,"about_ca_system_score_gemma":0.0001105449,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W4400065460","doi":"10.1016/j.jcct.2024.05.004","title":"Clinical Impact Of Assessing Plaque Quantification And Local Hemodynamics Of Intermediate Lesions In The Prediction Of Acute Coronary Syndrome","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Hemodynamics; Cardiology; Acute coronary syndrome; Internal medicine; Radiology; Myocardial infarction","score_opus":0.02575592649103204,"score_gpt":0.32720330233468387,"score_spread":0.30144737584365183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8782224,0.0079618925,0.11319165,0.000042021777,0.0003359124,0.00016727168,0.000062746796,0.000006570686,0.000009514189],"genre_scores_gemma":[0.99677813,0.002153911,0.0009747537,0.0000046498844,0.000049859445,0.0000014262616,0.000025515194,0.00001125357,5.0922074e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979099,0.00027194477,0.0011470043,0.00013388584,0.0004391186,0.0000981656],"domain_scores_gemma":[0.99856305,0.0004313572,0.00032743052,0.00028690448,0.00032457573,0.00006668379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013875108,0.00011500596,0.0006986739,0.0006745885,0.000019280911,0.000017147908,0.00012569787,0.0001094979,0.0000034126692],"category_scores_gemma":[0.000054537584,0.00007766284,0.0023422472,0.00065618934,0.000252431,0.00015929375,0.00003901565,0.0003914517,1.220176e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007573771,0.0022628645,0.73775446,0.0016830013,0.031542614,0.0025517612,0.00079566066,0.022849813,0.0007147417,0.0003328895,0.00042600522,0.19832881],"study_design_scores_gemma":[0.0012306991,0.0017481234,0.948973,0.0022103568,0.0023856426,0.0037713556,0.00018646213,0.039244577,0.000034876906,0.00012364921,0.00004200844,0.00004924832],"about_ca_topic_score_codex":0.000026171481,"about_ca_topic_score_gemma":0.0000012055867,"teacher_disagreement_score":0.21121854,"about_ca_system_score_codex":0.000034364777,"about_ca_system_score_gemma":0.00016662678,"threshold_uncertainty_score":0.31669986},"labels":[],"label_agreement":null},{"id":"W4400065888","doi":"10.1016/j.jcct.2024.05.182","title":"The Relationship Of Risk Factors And Quantified Atherosclerotic Burden On Coronary Computed Tomographic Angiography - Lessons From The Advance Registry","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Computed tomographic angiography; Computed tomographic; Coronary angiography; Radiology; Angiography; Computed tomography angiography; Computed tomography; Cardiology; Myocardial infarction","score_opus":0.022072038505285375,"score_gpt":0.26028073958266595,"score_spread":0.23820870107738057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7601696,0.22609907,0.010924847,0.00095032563,0.001296925,0.00031680192,0.00011369081,0.00007470109,0.000053990563],"genre_scores_gemma":[0.9945978,0.0037852637,0.0009398989,0.000048615875,0.00055132265,0.0000036654335,0.000026536614,0.00004465511,0.0000022316167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997167,0.00054008974,0.0006937428,0.00034209088,0.000977887,0.00027921112],"domain_scores_gemma":[0.99154145,0.0066091907,0.00036310116,0.0009317545,0.00037007243,0.00018444093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012636759,0.00031843255,0.0008161757,0.0005712689,0.00035083838,0.0001679604,0.0003122789,0.00014016811,0.0000014792384],"category_scores_gemma":[0.00055592885,0.00018260803,0.0045022406,0.0017835499,0.00055902975,0.00011221808,0.00006917118,0.0010058419,0.0000011699382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003154349,0.00012322854,0.94591624,0.000117427124,0.019898467,0.00026949233,0.00086620316,0.008728596,0.00004495203,0.0014486449,0.0032147719,0.019056551],"study_design_scores_gemma":[0.0013976978,0.0002358055,0.98171836,0.0014488038,0.0042074425,0.000253173,0.00038149487,0.00082353386,0.00006451371,0.0014783416,0.0078011276,0.00018971799],"about_ca_topic_score_codex":0.0001478442,"about_ca_topic_score_gemma":0.000003737006,"teacher_disagreement_score":0.23442815,"about_ca_system_score_codex":0.000022713208,"about_ca_system_score_gemma":0.00009536527,"threshold_uncertainty_score":0.74465394},"labels":[],"label_agreement":null},{"id":"W4400065904","doi":"10.1016/j.jcct.2024.05.197","title":"A Comprehensive Risk Prediction Model For Acute Coronary Syndrome Incorporating Anatomical, Plaque, And Hemodynamic Features In Functionally Insignificant Coronary Lesions","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Acute coronary syndrome; Hemodynamics; Internal medicine; Coronary anatomy; Radiology; Coronary angiography; Myocardial infarction","score_opus":0.010335939498474375,"score_gpt":0.2438556603703216,"score_spread":0.23351972087184725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73276746,0.049328715,0.2160672,0.00018298354,0.000713154,0.00057895633,0.0002561783,0.00008536091,0.000020016592],"genre_scores_gemma":[0.9785015,0.0018839237,0.019154355,0.000109464745,0.00018163532,0.00002068801,0.00009562471,0.000047806567,0.0000050075187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.997962,0.00014468865,0.00065304997,0.00037367872,0.0006170802,0.0002494773],"domain_scores_gemma":[0.9983987,0.00046345693,0.00017888071,0.00027075494,0.00046318222,0.0002250081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005472551,0.0002763993,0.00092682824,0.0011341216,0.00013059752,0.00008355352,0.00009008544,0.00017036751,7.8369146e-7],"category_scores_gemma":[0.000055851695,0.0002443942,0.0016141857,0.000687334,0.0001569876,0.00022740068,0.00006569193,0.00079871225,5.539581e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028139045,0.00063171674,0.12763146,0.000995397,0.046092495,0.013073612,0.0005320523,0.75284016,0.00093565835,0.0006202287,0.00893554,0.044897806],"study_design_scores_gemma":[0.0032800103,0.0005869473,0.4972277,0.0007912615,0.0039947554,0.017027833,0.000089772904,0.47514692,0.00001283964,0.0012452012,0.00039983698,0.0001969371],"about_ca_topic_score_codex":0.000017703616,"about_ca_topic_score_gemma":0.0000017078061,"teacher_disagreement_score":0.36959624,"about_ca_system_score_codex":0.00012149368,"about_ca_system_score_gemma":0.00033187144,"threshold_uncertainty_score":0.99661064},"labels":[],"label_agreement":null},{"id":"W4400065912","doi":"10.1016/j.jcct.2024.05.185","title":"Coronary Disease At Undetectable And Intermediate Levels Of High Sensitivity Cardiac Troponin: Evaluation By CCTA And AI-Guided Plaque Quantification","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Troponin; Coronary artery disease; Radiology; Myocardial infarction","score_opus":0.016402886602284786,"score_gpt":0.2646907750010837,"score_spread":0.2482878883987989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.854216,0.12371844,0.019966986,0.0005548947,0.0009399102,0.00036616027,0.00017522441,0.00003662997,0.000025767977],"genre_scores_gemma":[0.997,0.0020990882,0.00047803987,0.000051939183,0.000272707,0.0000046126597,0.000059199727,0.000029142397,0.000005313673],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99763775,0.00048501822,0.0004937015,0.00030351768,0.0008981215,0.00018186525],"domain_scores_gemma":[0.99820083,0.00036448124,0.00015812175,0.0003449402,0.00065157056,0.00028002498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019758018,0.00020500545,0.0008140692,0.00048262466,0.00006881911,0.000068085414,0.00004252651,0.000086146414,0.0000044653084],"category_scores_gemma":[0.00021620758,0.00018276667,0.0010712388,0.0004200388,0.0001908183,0.00022069032,0.00006713127,0.00028111687,9.780705e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033434182,0.0008466606,0.33781117,0.005624954,0.06745535,0.0041580508,0.0014027492,0.023494152,0.045522496,0.00073616154,0.056955673,0.45264915],"study_design_scores_gemma":[0.0038908573,0.00030987532,0.95141727,0.0011712158,0.010423233,0.0015316746,0.000054251417,0.01923283,0.0062333886,0.0003328511,0.005084531,0.00031800798],"about_ca_topic_score_codex":0.000046162637,"about_ca_topic_score_gemma":6.976509e-7,"teacher_disagreement_score":0.6136061,"about_ca_system_score_codex":0.000100550096,"about_ca_system_score_gemma":0.00019402405,"threshold_uncertainty_score":0.7453009},"labels":[],"label_agreement":null},{"id":"W4400065937","doi":"10.1016/j.jcct.2024.05.209","title":"High Sensitivity Troponin Is A Prognostic Marker In Patients Referred For CCTA","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Troponin; Radiology; Sensitivity (control systems); Myocardial infarction","score_opus":0.008465912362434378,"score_gpt":0.23315210956889215,"score_spread":0.22468619720645777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263473,0.027248945,0.041251916,0.0006891497,0.0032474813,0.0009001074,0.00007593999,0.00009325944,0.0001459062],"genre_scores_gemma":[0.9926199,0.00013113568,0.006277167,0.00017112673,0.0007015404,0.000009616026,0.000032752912,0.000048369446,0.0000084068215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778944,0.00020722288,0.00058460055,0.0003035421,0.00078828324,0.0003269098],"domain_scores_gemma":[0.99806327,0.0005964405,0.00010620648,0.000366588,0.0006765322,0.00019095012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012956671,0.00023851692,0.0009841672,0.0010358534,0.000040225677,0.000091762864,0.00007346403,0.00012048466,0.0000040617515],"category_scores_gemma":[0.00047095824,0.00020314206,0.0032049723,0.0009789414,0.000061932515,0.00013816195,0.000039311963,0.00045017077,0.000003950814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021954882,0.0015203925,0.7670972,0.0018241217,0.029492607,0.0060440013,0.000599673,0.0044188555,0.00009212333,0.00016986355,0.06338258,0.12316309],"study_design_scores_gemma":[0.008820352,0.00073597307,0.9413594,0.0017595076,0.0037307146,0.0007811252,0.000025137382,0.0032375439,0.00025706997,0.00019455617,0.038788255,0.00031036313],"about_ca_topic_score_codex":0.000022339127,"about_ca_topic_score_gemma":6.673064e-7,"teacher_disagreement_score":0.1742622,"about_ca_system_score_codex":0.00009455482,"about_ca_system_score_gemma":0.00015901515,"threshold_uncertainty_score":0.8283892},"labels":[],"label_agreement":null},{"id":"W4400065950","doi":"10.1016/j.jcct.2024.05.200","title":"Clinical Impact Of Assessing Plaque Quantification And Local Hemodynamics Of Intermediate Lesions In The Prediction Of Acute Coronary Syndrome","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Hemodynamics; Cardiology; Acute coronary syndrome; Internal medicine; Radiology; Myocardial infarction","score_opus":0.02575592649103204,"score_gpt":0.32720330233468387,"score_spread":0.30144737584365183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400065950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8782224,0.0079618925,0.11319165,0.000042021777,0.0003359124,0.00016727168,0.000062746796,0.000006570686,0.000009514189],"genre_scores_gemma":[0.99677813,0.002153911,0.0009747537,0.0000046498844,0.000049859445,0.0000014262616,0.000025515194,0.00001125357,5.0922074e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979099,0.00027194477,0.0011470043,0.00013388584,0.0004391186,0.0000981656],"domain_scores_gemma":[0.99856305,0.0004313572,0.00032743052,0.00028690448,0.00032457573,0.00006668379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013875108,0.00011500596,0.0006986739,0.0006745885,0.000019280911,0.000017147908,0.00012569787,0.0001094979,0.0000034126692],"category_scores_gemma":[0.000054537584,0.00007766284,0.0023422472,0.00065618934,0.000252431,0.00015929375,0.00003901565,0.0003914517,1.220176e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007573771,0.0022628645,0.73775446,0.0016830013,0.031542614,0.0025517612,0.00079566066,0.022849813,0.0007147417,0.0003328895,0.00042600522,0.19832881],"study_design_scores_gemma":[0.0012306991,0.0017481234,0.948973,0.0022103568,0.0023856426,0.0037713556,0.00018646213,0.039244577,0.000034876906,0.00012364921,0.00004200844,0.00004924832],"about_ca_topic_score_codex":0.000026171481,"about_ca_topic_score_gemma":0.0000012055867,"teacher_disagreement_score":0.21121854,"about_ca_system_score_codex":0.000034364777,"about_ca_system_score_gemma":0.00016662678,"threshold_uncertainty_score":0.31669986},"labels":[],"label_agreement":null},{"id":"W4400066008","doi":"10.1016/j.jcct.2024.05.183","title":"Quantitative Differences Between Japanese And Non- Japanese Patients’ Coronary Computed Tomographic Angiography Derived Plaque - Insights From The Advance Registry","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Computed tomographic angiography; Computed tomographic; Coronary angiography; Radiology; Angiography; Computed tomography angiography; Cardiology; Computed tomography; Myocardial infarction","score_opus":0.009835853009899047,"score_gpt":0.2208489994974478,"score_spread":0.21101314648754874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87907934,0.11711974,0.002067534,0.0001691897,0.0006737845,0.000607306,0.0001036049,0.00009984525,0.00007967088],"genre_scores_gemma":[0.9958408,0.0020185267,0.0010286004,0.00019185086,0.00067007,0.000015135508,0.00017329575,0.000059735772,0.0000020189086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962906,0.0004825759,0.0008634456,0.0006343724,0.0013392104,0.00038976988],"domain_scores_gemma":[0.99708265,0.0007023983,0.00029301224,0.0008113021,0.0006424904,0.00046814434],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034126494,0.000552783,0.0014457906,0.00094245037,0.00025501393,0.00024679475,0.00045843064,0.00019653843,0.000009604086],"category_scores_gemma":[0.0000468638,0.00036683402,0.0054035177,0.0020244939,0.0005953557,0.0004410836,0.00014227006,0.00073813624,0.0000033818508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005608,0.00054281886,0.9141592,0.0005614355,0.06275014,0.00073440466,0.004725545,0.0003362818,0.00017509087,0.00006402425,0.0013889337,0.014001349],"study_design_scores_gemma":[0.0032995834,0.0009535935,0.98368984,0.001480556,0.0056326776,0.0002902915,0.0013555824,0.00046977343,0.000058419122,0.00024780066,0.0020849283,0.00043692128],"about_ca_topic_score_codex":0.00012030934,"about_ca_topic_score_gemma":0.0000079749125,"teacher_disagreement_score":0.11676144,"about_ca_system_score_codex":0.000030881638,"about_ca_system_score_gemma":0.00011445014,"threshold_uncertainty_score":0.99987835},"labels":[],"label_agreement":null},{"id":"W4400066066","doi":"10.1016/j.jcct.2024.05.186","title":"Relation Of Coronary Plaque With Elevated High Sensitivity Cardiac Troponin: Evaluation By CCTA And AI-Guided Plaque Quantification","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Cardiac imaging; Vulnerable plaque; Radiology","score_opus":0.013992712130533859,"score_gpt":0.2594559246085898,"score_spread":0.24546321247805594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8744937,0.028478917,0.09526509,0.00051771244,0.0005845572,0.00052906893,0.00004851165,0.000042165313,0.000040252806],"genre_scores_gemma":[0.9964909,0.0011164229,0.0019494295,0.000023190913,0.00016770378,0.000006894663,0.00020935343,0.000028435228,0.000007657711],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974338,0.000495172,0.0006710118,0.00026673323,0.000984473,0.00014882284],"domain_scores_gemma":[0.9977712,0.00025143276,0.00025304352,0.0003436712,0.0012546382,0.00012600825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018105924,0.00019773719,0.00069068745,0.0006133901,0.00006410723,0.000050617313,0.000051015617,0.00013764524,0.000012411958],"category_scores_gemma":[0.00008187155,0.000162773,0.0010185706,0.0007826595,0.00011135078,0.00026826127,0.000022702274,0.0003635522,0.0000012434688],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006663423,0.0033570258,0.2680139,0.0043712826,0.12348858,0.0042186845,0.0016227004,0.12917116,0.071865216,0.0063056354,0.07623513,0.30468726],"study_design_scores_gemma":[0.007022785,0.00260978,0.8879516,0.003129456,0.012858883,0.0047249976,0.0001623674,0.061692063,0.008575716,0.00037860798,0.010441483,0.00045226316],"about_ca_topic_score_codex":0.000072758645,"about_ca_topic_score_gemma":0.000002768528,"teacher_disagreement_score":0.6199377,"about_ca_system_score_codex":0.000091161535,"about_ca_system_score_gemma":0.00020441848,"threshold_uncertainty_score":0.663769},"labels":[],"label_agreement":null},{"id":"W4400066164","doi":"10.1016/j.jcct.2024.05.222","title":"Impact Of Left Ventricular Scar And Chamber Size On Reverse-remodeling After Transcatheter Mitral Valve Replacement With The TendyneSystem","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Ventricular remodeling; Internal medicine; Mitral valve replacement; Mitral valve; Heart failure","score_opus":0.006340318529926195,"score_gpt":0.2567154995676702,"score_spread":0.25037518103774403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90972793,0.087818325,0.0015717751,0.0001276137,0.00020479683,0.00045175228,0.000028280672,0.000019613299,0.00004989774],"genre_scores_gemma":[0.9989505,0.0004139718,0.00026785408,0.000059641214,0.0002540572,0.0000064658752,0.0000042099973,0.00003792371,0.0000054037923],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.99801797,0.00015632469,0.00040485198,0.00027397447,0.00090917404,0.00023771632],"domain_scores_gemma":[0.9988353,0.00008932454,0.00012161022,0.00046020315,0.0002904619,0.00020307895],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00052095647,0.00027798052,0.00080742576,0.00032086862,0.0000483438,0.00005610729,0.000063243504,0.00007061872,0.000012232748],"category_scores_gemma":[0.000007318204,0.00014285675,0.025822273,0.00040304582,0.00007148561,0.00009248157,0.000017772043,0.00026068365,0.0000011798253],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007058286,0.00090531824,0.27692005,0.0014254049,0.66137403,0.0031929174,0.0015066293,0.035234634,0.000070215116,0.000020200621,0.0012481412,0.011044178],"study_design_scores_gemma":[0.008711953,0.0038637938,0.91533124,0.0036892456,0.056189053,0.0075450563,0.00019035795,0.0013560968,0.000075934404,0.00002224604,0.0026298256,0.00039521238],"about_ca_topic_score_codex":0.000017742945,"about_ca_topic_score_gemma":2.0269015e-7,"teacher_disagreement_score":0.63841116,"about_ca_system_score_codex":0.00007888726,"about_ca_system_score_gemma":0.00010652673,"threshold_uncertainty_score":0.98393387},"labels":[],"label_agreement":null},{"id":"W4400066220","doi":"10.1016/j.jcct.2024.05.101","title":"Prognostic Implications Of Coronary Ct Angiography-derived Plaque And Hemodynamic Features On Acute Coronary Syndrome Across Varying Time Intervals: Emerald-ii Study","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Coronary angiography; Internal medicine; Hemodynamics; Acute coronary syndrome; Angiography; Radiology; Myocardial infarction","score_opus":0.009190708177280332,"score_gpt":0.2662379552905209,"score_spread":0.25704724711324056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94161147,0.054424636,0.0018538147,0.00045463693,0.0005039819,0.0008518549,0.000117554315,0.00012594978,0.000056079767],"genre_scores_gemma":[0.99789476,0.00058304827,0.0010805809,0.00015435203,0.00014158485,0.000020985855,0.000048326274,0.00006752887,0.000008858054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973861,0.00023901758,0.00076175906,0.0004570724,0.0007787216,0.0003773514],"domain_scores_gemma":[0.99801403,0.0004396228,0.00022351289,0.0006274475,0.00042744697,0.00026791447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076797564,0.00039111206,0.0013332337,0.0011006679,0.00019312934,0.00010248268,0.0002332391,0.000087859065,0.0000052785144],"category_scores_gemma":[0.000060116654,0.00033166088,0.0038872513,0.0013453981,0.00021255676,0.00020277218,0.0001891215,0.0006620887,0.0000026343298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001526501,0.0041227336,0.62606865,0.0014155541,0.21820313,0.036944713,0.0040875673,0.01000826,0.0030505566,0.00006027377,0.007884771,0.0866273],"study_design_scores_gemma":[0.0029304991,0.0031191832,0.9477599,0.0016047258,0.008416592,0.034428027,0.00014062309,0.00058595923,0.00009291896,0.00011221291,0.00050456944,0.00030477345],"about_ca_topic_score_codex":0.000024620904,"about_ca_topic_score_gemma":5.576786e-7,"teacher_disagreement_score":0.32169127,"about_ca_system_score_codex":0.00005050273,"about_ca_system_score_gemma":0.0001105449,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W4400066245","doi":"10.1016/j.jcct.2024.05.087","title":"Association Between Body Mass Index, Testing Performance And Clinical Outcomes In Patients With Stable Chest Pain: Insights From The PRECISE (Prospective Randomized Trial Of The Optimal Evaluation Of Cardiac Symptoms And Revascularization) Trial","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Chest pain; Revascularization; Randomized controlled trial; Internal medicine; Body mass index; Cardiology; Prospective cohort study; Radiology; Myocardial infarction","score_opus":0.012508187139891712,"score_gpt":0.24171582473249711,"score_spread":0.2292076375926054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98841006,0.0045672203,0.0028596849,0.000041190156,0.0009989477,0.0030773336,0.000014119855,0.000012776937,0.00001869824],"genre_scores_gemma":[0.9985874,0.00045141732,0.0004099619,0.000007414874,0.00048319352,0.000022006023,0.000014651798,0.000021735817,0.000002176089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930067,0.0030550421,0.001225336,0.00028294814,0.002285631,0.00014434468],"domain_scores_gemma":[0.9952657,0.0021992517,0.00069723505,0.00039813964,0.0013593842,0.00008024606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012194484,0.00021893239,0.0018936327,0.0003208229,0.0000868935,0.00006153939,0.00011373719,0.00019680975,0.000001558417],"category_scores_gemma":[0.0021066803,0.00011256858,0.002584726,0.001010089,0.00018294904,0.00021898896,0.000050828832,0.00057000853,8.25454e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.09431263,0.00012615164,0.86034364,0.00005066276,0.031195376,9.939622e-7,0.00017239197,0.0020812459,0.0000011174697,0.0000021892256,0.0000078885805,0.011705707],"study_design_scores_gemma":[0.37591553,0.00057979464,0.6094988,0.00034119972,0.010245823,0.0000011594547,0.000029778164,0.0032084212,0.000013683805,0.000025992365,0.000062755855,0.00007704399],"about_ca_topic_score_codex":0.00006146153,"about_ca_topic_score_gemma":0.0000017937455,"teacher_disagreement_score":0.2816029,"about_ca_system_score_codex":0.00012487125,"about_ca_system_score_gemma":0.00031645692,"threshold_uncertainty_score":0.45904136},"labels":[],"label_agreement":null},{"id":"W4400066260","doi":"10.1016/j.jcct.2024.05.100","title":"Coronary Ct Angiography-derived Precursors Of Acute Coronary Syndrome In Ischemia-causing Lesions","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Coronary angiography; Acute coronary syndrome; Cardiology; Internal medicine; Ischemia; Angiography; Radiology; Myocardial ischemia; Myocardial infarction","score_opus":0.011228558923991373,"score_gpt":0.24636467390928513,"score_spread":0.23513611498529374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8308273,0.16175647,0.0054572956,0.00016733665,0.0011134223,0.0002978032,0.00003577095,0.0000762928,0.00026829608],"genre_scores_gemma":[0.9925054,0.0021953257,0.004967503,0.000060585247,0.00017304206,0.0000048565043,0.000027487436,0.000059713042,0.000006110203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719447,0.00018765767,0.0008940829,0.00034112623,0.0010032525,0.0003794109],"domain_scores_gemma":[0.9983299,0.00029241832,0.00019658341,0.00053937046,0.00037110786,0.00027061385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008625457,0.00032578592,0.001373742,0.0023358809,0.000052639953,0.00005032521,0.00017064309,0.000113745344,0.000011229627],"category_scores_gemma":[0.00005023087,0.00029315636,0.007111216,0.0024656595,0.00021919727,0.00024321844,0.00009154291,0.00073321053,0.0000027162262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095221715,0.001358486,0.57294697,0.0020361166,0.14661722,0.18850811,0.0011285463,0.015315148,0.0071400236,0.00014420964,0.0071843457,0.056668635],"study_design_scores_gemma":[0.00462137,0.00077806413,0.88707006,0.00520178,0.013619556,0.07864958,0.00014935495,0.00082655135,0.0031110512,0.00017046524,0.0053243856,0.00047778338],"about_ca_topic_score_codex":0.000024580155,"about_ca_topic_score_gemma":3.5272592e-7,"teacher_disagreement_score":0.31412312,"about_ca_system_score_codex":0.000064902546,"about_ca_system_score_gemma":0.0002631698,"threshold_uncertainty_score":0.9999521},"labels":[],"label_agreement":null},{"id":"W4400066306","doi":"10.1016/j.jcct.2024.05.019","title":"Unlocking Precision: Enhanced MACE Prediction With A Fully Automated Multi-modal System On Computed Tomography Coronary Angiography","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Western University; McMaster University; University of Alberta","funders":"","keywords":"Medicine; Mace; Computed tomography angiography; Coronary angiography; Radiology; Computed tomography; Tomography; Angiography; Cardiology; Percutaneous coronary intervention; Myocardial infarction","score_opus":0.008925772672830259,"score_gpt":0.23454183006187312,"score_spread":0.22561605738904286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32936093,0.11757004,0.540809,0.00021923336,0.005898172,0.0017234948,0.00014742634,0.0034612422,0.00081049855],"genre_scores_gemma":[0.98128927,0.00018223838,0.01704655,0.0001068801,0.0011411643,0.000023222397,0.000074638374,0.00013079096,0.000005257171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99479824,0.00042389208,0.0011482072,0.0007800244,0.0022157896,0.0006338551],"domain_scores_gemma":[0.9964102,0.00043422118,0.00035298557,0.0009289049,0.0013114664,0.0005622409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012302902,0.00067814055,0.0016916698,0.003830202,0.00022797298,0.00032351539,0.0003141395,0.00029800774,0.0000045344905],"category_scores_gemma":[0.00005153374,0.0005341751,0.007067991,0.0049155774,0.00021818657,0.0003431332,0.00008285587,0.0010635105,0.000010659267],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008534204,0.00326604,0.10074508,0.0062351846,0.2080982,0.039382085,0.0019055136,0.45673475,0.0023334024,0.00037192792,0.025789961,0.14660366],"study_design_scores_gemma":[0.024175774,0.007184717,0.64174086,0.028918138,0.021611169,0.03154409,0.00063293887,0.22263987,0.0036171426,0.000028199354,0.016237095,0.0016700135],"about_ca_topic_score_codex":0.000016428477,"about_ca_topic_score_gemma":7.076922e-7,"teacher_disagreement_score":0.6519283,"about_ca_system_score_codex":0.0001815197,"about_ca_system_score_gemma":0.00027818428,"threshold_uncertainty_score":0.999711},"labels":[],"label_agreement":null},{"id":"W4400066325","doi":"10.1016/j.jcct.2024.05.029","title":"Deep Learning-Based Novel Coronary Artery Calcium Dispersion And Density (CAC-DAD) Score For Predicting Myocardial Infarction And Cardiovascular Death","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Western University; McMaster University; University of Alberta","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Myocardial infarction; Coronary artery disease","score_opus":0.06036662788922966,"score_gpt":0.33507740032382377,"score_spread":0.27471077243459413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52104807,0.050571274,0.42441604,0.0002352262,0.0025442692,0.0010164746,0.000016196982,0.00013305999,0.00001938939],"genre_scores_gemma":[0.9935324,0.0010916565,0.0029871154,0.00015415663,0.002080615,0.000045049976,0.000024146573,0.00008031238,0.0000045195957],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99564326,0.0009598883,0.0011215064,0.00062602456,0.0009977877,0.0006515136],"domain_scores_gemma":[0.99678135,0.0009767372,0.00028111137,0.0004597471,0.0010744239,0.00042663052],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003817202,0.00038498163,0.0011552325,0.00083517603,0.0011465505,0.00009812319,0.00019113722,0.00045600932,0.0000057518323],"category_scores_gemma":[0.00031093552,0.00034856435,0.0026585208,0.0006520575,0.00018187775,0.00039488607,0.00014644467,0.0016618993,0.000002907528],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085101987,0.000115081886,0.686057,0.0031953903,0.019864436,0.00045684597,0.0031188815,0.14017099,0.00026476436,0.00023628147,0.00039715963,0.1452722],"study_design_scores_gemma":[0.0039631827,0.00157325,0.31613082,0.0041050036,0.006614072,0.0016772302,0.0033955018,0.6088069,0.00020194857,0.00079499016,0.051695894,0.0010412039],"about_ca_topic_score_codex":0.00027916834,"about_ca_topic_score_gemma":0.00002738894,"teacher_disagreement_score":0.47248435,"about_ca_system_score_codex":0.00016955151,"about_ca_system_score_gemma":0.0003271966,"threshold_uncertainty_score":0.99989665},"labels":[],"label_agreement":null},{"id":"W4400066345","doi":"10.1016/j.jcct.2024.05.028","title":"Evaluating The Accuracy Of A Fully Automated Artificial Intelligence-based Quantification Of Coronary Plaque Volume On CTCA","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Volume (thermodynamics); Radiology; Biomedical engineering; Cardiology; Internal medicine","score_opus":0.05504696446717367,"score_gpt":0.34135064500254236,"score_spread":0.2863036805353687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6923031,0.03610613,0.26678187,0.0014676428,0.0021964177,0.00073536,0.000042060874,0.00020543375,0.00016194042],"genre_scores_gemma":[0.9950797,0.00013640987,0.0042884955,0.000062336636,0.00037725156,0.000005034582,0.00001986357,0.000029173043,0.0000017612048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683523,0.0003969574,0.0010519007,0.00022208055,0.0013037964,0.00019005711],"domain_scores_gemma":[0.9965484,0.0012263571,0.00043519295,0.00059232174,0.0010994069,0.00009833417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025757367,0.00019718289,0.00078959914,0.00082160486,0.00006526002,0.00005538779,0.00020835003,0.00009934317,0.000010760413],"category_scores_gemma":[0.0008318641,0.00014046999,0.0028063864,0.0013659842,0.00019837388,0.00008651594,0.00002886986,0.00046480083,0.000005701918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014023754,0.0006402039,0.004050438,0.0010473978,0.01174996,0.0004944508,0.00055378274,0.6516496,0.005417047,0.00084363576,0.0031265845,0.3190245],"study_design_scores_gemma":[0.001434912,0.003177279,0.07301589,0.0045157364,0.006922283,0.0011319205,0.00031320096,0.87293255,0.03223414,0.0006948078,0.003285635,0.00034166855],"about_ca_topic_score_codex":0.000022746075,"about_ca_topic_score_gemma":2.8157194e-7,"teacher_disagreement_score":0.31868285,"about_ca_system_score_codex":0.000047944846,"about_ca_system_score_gemma":0.0005064288,"threshold_uncertainty_score":0.57281995},"labels":[],"label_agreement":null},{"id":"W4400066361","doi":"10.1016/j.jcct.2024.05.036","title":"Sex Specific Analysis Of Artificial Intelligence-enabled Quantitative Coronary Plaque And Hemodynamic Analysis In Predicting Acute Coronary Syndrome","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Acute coronary syndrome; Cardiology; Internal medicine; Hemodynamics; Radiology; Myocardial infarction","score_opus":0.013886985764159629,"score_gpt":0.25368879041409215,"score_spread":0.2398018046499325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400066361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7938295,0.07703029,0.12848112,0.000045546214,0.00020187662,0.00027756297,0.000063546715,0.000037941183,0.0000326104],"genre_scores_gemma":[0.9929819,0.0035894976,0.0032007843,0.000015730815,0.00008007476,0.0000043943933,0.000091501766,0.00003170047,0.0000044076437],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.9961666,0.0004480466,0.0013207614,0.0005604651,0.0011596971,0.00034443536],"domain_scores_gemma":[0.99826354,0.00028255564,0.00026022564,0.00060535356,0.00029663712,0.00029166383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016584424,0.00034961177,0.0027416102,0.00642734,0.000073351686,0.0000849521,0.00020776938,0.00018880297,0.000022465396],"category_scores_gemma":[0.000019927591,0.00031461133,0.009149493,0.0101497015,0.00021342783,0.0002780118,0.00010329864,0.0006675765,0.0000010506528],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007686129,0.00035208894,0.16462086,0.00031669062,0.6317591,0.017619949,0.00075030373,0.16089879,0.00037101,0.0002627466,0.000013924879,0.022265889],"study_design_scores_gemma":[0.0006825161,0.00045810943,0.66483915,0.00042372485,0.14670278,0.0027707615,0.0005002486,0.1828522,0.00019649407,0.00020538027,0.00008893195,0.00027968956],"about_ca_topic_score_codex":0.000035827845,"about_ca_topic_score_gemma":0.0000068866207,"teacher_disagreement_score":0.50021833,"about_ca_system_score_codex":0.00008313044,"about_ca_system_score_gemma":0.00014588104,"threshold_uncertainty_score":0.9999306},"labels":[],"label_agreement":null},{"id":"W4400720397","doi":"10.1016/j.jcct.2024.07.007","title":"Completeness of revascularization by FFRCT in stable angina: Association to adverse cardiovascular outcomes","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"Novo Nordisk Fonden","keywords":"Medicine; Internal medicine; Revascularization; Cardiology; Stable angina; Angina; Adverse effect; Coronary artery disease; Myocardial infarction","score_opus":0.007603489713812616,"score_gpt":0.23269262851906009,"score_spread":0.22508913880524747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400720397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49172884,0.2762048,0.22652733,0.0007427098,0.0029040023,0.0011060572,0.00009685041,0.00014548199,0.0005439322],"genre_scores_gemma":[0.99484533,0.0009468059,0.0036053257,0.00014668632,0.0003193425,0.0000101042415,0.000039330083,0.00006078097,0.000026296859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99600554,0.00034269222,0.0009981665,0.00034642025,0.001928817,0.00037838542],"domain_scores_gemma":[0.99763304,0.00028738676,0.00021279564,0.00065861276,0.0009798273,0.0002283576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032695096,0.0002882615,0.0019740858,0.0016371435,0.00004354227,0.00005979688,0.0001763234,0.00017359476,0.0000059950653],"category_scores_gemma":[0.0005280026,0.00026158048,0.006485489,0.0025440233,0.000038944978,0.00024159963,0.00006389841,0.00045299472,0.0000067724964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001980744,0.00055561535,0.7014032,0.0014021265,0.073436685,0.0017200776,0.0007472637,0.16698678,0.00084102136,0.000117388125,0.016307821,0.036283962],"study_design_scores_gemma":[0.008952485,0.0005232484,0.7353043,0.0036525072,0.014025953,0.00065029087,0.0002158806,0.0018753686,0.002265048,0.00013847143,0.23161577,0.0007807021],"about_ca_topic_score_codex":0.00011355381,"about_ca_topic_score_gemma":0.000001375864,"teacher_disagreement_score":0.5031165,"about_ca_system_score_codex":0.00032530932,"about_ca_system_score_gemma":0.00019596459,"threshold_uncertainty_score":0.99998367},"labels":[],"label_agreement":null},{"id":"W4401282533","doi":"10.1016/j.jcct.2024.07.014","title":"Myocardial extracellular volume by CT: Assessing the state of the union","year":2024,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Extracellular matrix; Extracellular; Medicine; Extracellular fluid; Cardiology; Internal medicine; Cell biology; Biology","score_opus":0.005065574450612888,"score_gpt":0.23563042797783854,"score_spread":0.23056485352722564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401282533","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033178558,0.32241943,0.011403469,0.00043848608,0.66143733,0.00045140478,0.0002020993,0.00004879089,0.00028110202],"genre_scores_gemma":[0.09438595,0.0054111006,0.00084180845,0.00010917218,0.89820343,0.000012041882,0.00019727806,0.00033064297,0.00050858833],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928395,0.0010232691,0.0012806895,0.0004196798,0.0039959336,0.00044091666],"domain_scores_gemma":[0.99473506,0.000974699,0.0009306744,0.0014167906,0.001725547,0.0002172059],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0042179828,0.000554751,0.0020927086,0.0006016925,0.00017108089,0.00031242467,0.0006953038,0.00030820435,0.0000035947608],"category_scores_gemma":[0.000846517,0.00032745357,0.011496921,0.0014694635,0.00042307703,0.00014183621,0.0002552294,0.0033486246,0.0000052313985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030633517,0.00008943438,0.00045085096,0.00044122076,0.017304912,0.0006137168,0.000095057134,0.0035889812,0.000046542285,0.0000015263586,0.96154416,0.01579298],"study_design_scores_gemma":[0.001729097,0.00014630883,0.00121206,0.002267174,0.014031269,0.0007248548,0.000039296632,0.00027772752,0.00030552762,0.000114220435,0.97884417,0.0003083204],"about_ca_topic_score_codex":0.00007934641,"about_ca_topic_score_gemma":3.9842826e-7,"teacher_disagreement_score":0.31700832,"about_ca_system_score_codex":0.00015589106,"about_ca_system_score_gemma":0.0010513816,"threshold_uncertainty_score":0.99991775},"labels":[],"label_agreement":null},{"id":"W4402070678","doi":"10.1016/j.jcct.2024.08.003","title":"Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT)","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Computed tomography; Radiology; Tomography; Artificial intelligence; Medical physics; Computer science","score_opus":0.012635466976611954,"score_gpt":0.20496523657196206,"score_spread":0.19232976959535011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402070678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0128257135,0.3277174,0.6568212,0.000055059867,0.001475689,0.00074118684,0.00006094972,0.00025310856,0.000049712133],"genre_scores_gemma":[0.9599233,0.0046920036,0.03423594,0.0000505624,0.0008249936,0.000031108342,0.000030683077,0.00020884308,0.0000025419868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993649,0.0005678304,0.0020581847,0.00083102076,0.0020078232,0.0008861266],"domain_scores_gemma":[0.99638546,0.00039153194,0.0004093404,0.0014244791,0.0010618872,0.00032731477],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0029676498,0.0009380522,0.0028731264,0.001411659,0.0003638757,0.00021277169,0.0010315805,0.00038780682,0.0000073923916],"category_scores_gemma":[0.000047052406,0.00079165987,0.027911313,0.0049117957,0.0006309923,0.0006619837,0.00030115581,0.0015829365,8.8342784e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008454157,0.00009690471,0.000673062,0.0018539234,0.0764324,0.000052378535,0.00085313944,0.82215476,0.00051306916,0.00018853157,0.00023716596,0.0968601],"study_design_scores_gemma":[0.003424752,0.00087688485,0.0049977126,0.0046938295,0.024465362,0.0015366104,0.0011684425,0.7386414,0.018758351,0.0038271288,0.19488694,0.002722594],"about_ca_topic_score_codex":0.000043053577,"about_ca_topic_score_gemma":0.0000030845047,"teacher_disagreement_score":0.9470976,"about_ca_system_score_codex":0.000075095006,"about_ca_system_score_gemma":0.00010736089,"threshold_uncertainty_score":0.9994534},"labels":[],"label_agreement":null},{"id":"W4402559271","doi":"10.1016/j.jcct.2024.08.007","title":"Getting older by a decade after preeclampsia","year":2024,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Preeclampsia; Internal medicine; Pregnancy","score_opus":0.005524782416604278,"score_gpt":0.2346408046910156,"score_spread":0.2291160222744113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402559271","genre_codex":"review","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005484892,0.54616755,0.003527869,0.0001466375,0.4481522,0.00042785457,0.00011587534,0.00010510868,0.00080843264],"genre_scores_gemma":[0.016195131,0.01591584,0.004075901,0.00016944978,0.96280533,0.000066294975,0.00014734817,0.0002897368,0.00033497068],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99375117,0.0003407805,0.0013667021,0.00070265285,0.0031917305,0.00064698106],"domain_scores_gemma":[0.99647397,0.0004557869,0.0005698647,0.0009844536,0.0011397254,0.00037619218],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0015793535,0.0008162297,0.0028398177,0.0011947146,0.00011522814,0.00017914071,0.00051018764,0.0013096867,0.000021694857],"category_scores_gemma":[0.00026034328,0.0006577192,0.009018661,0.0010091527,0.00019547514,0.00019974475,0.00027936755,0.0037787284,0.000019637919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030548236,0.00011885301,0.0002239035,0.0020363117,0.04376239,0.00215286,0.00034223494,0.000031592153,0.000010107265,0.0000024426793,0.94231635,0.008697441],"study_design_scores_gemma":[0.0031294452,0.00040555742,0.0005508108,0.009689878,0.013592449,0.00055765617,0.00002983351,0.000022368251,0.000108939894,0.00019225344,0.9711148,0.0006059927],"about_ca_topic_score_codex":0.000010912786,"about_ca_topic_score_gemma":9.857368e-7,"teacher_disagreement_score":0.5302517,"about_ca_system_score_codex":0.0001354988,"about_ca_system_score_gemma":0.0004834458,"threshold_uncertainty_score":0.9999868},"labels":[],"label_agreement":null},{"id":"W4402910585","doi":"10.1016/j.jcct.2024.09.005","title":"First reported Intra-cavitary right-to-left coronary artery collateral in the context of D-TGA","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Medicine; Context (archaeology); Collateral; Cardiology; Internal medicine; Right coronary artery; Radiology; Coronary angiography; Myocardial infarction; Finance","score_opus":0.010668680877946495,"score_gpt":0.22532702853440054,"score_spread":0.21465834765645403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402910585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687551,0.025133453,0.0016233694,0.0019249645,0.0012325131,0.00065002905,0.000015706759,0.00004923979,0.0006155904],"genre_scores_gemma":[0.9976551,0.00027306026,0.0010102121,0.00051437604,0.00048090183,0.0000062161134,0.000013037393,0.000033608507,0.000013472009],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9966862,0.0003451374,0.0012623548,0.0003238804,0.0010601626,0.00032223275],"domain_scores_gemma":[0.99824464,0.00029285616,0.00020245685,0.00074939744,0.00032622687,0.00018442619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016636475,0.00029557245,0.0011297812,0.00127026,0.000072494026,0.00006187714,0.00035017577,0.00012747281,0.000048513626],"category_scores_gemma":[0.000032413136,0.00020471076,0.0025412783,0.0013778401,0.0001618503,0.00028363624,0.00006631004,0.00062675646,0.000007183085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066581583,0.003044617,0.30278507,0.0035936527,0.109114945,0.31763712,0.028443508,0.018106073,0.0034832656,0.00053724606,0.045824803,0.16077153],"study_design_scores_gemma":[0.005396408,0.0031964108,0.6465895,0.0037115358,0.0042057484,0.116633624,0.0013811288,0.0018423615,0.0010412567,0.00054384494,0.2148622,0.0005959375],"about_ca_topic_score_codex":0.000018814575,"about_ca_topic_score_gemma":0.000020759753,"teacher_disagreement_score":0.34380448,"about_ca_system_score_codex":0.00006713905,"about_ca_system_score_gemma":0.000176885,"threshold_uncertainty_score":0.83478624},"labels":[],"label_agreement":null},{"id":"W4403117324","doi":"10.1016/j.jcct.2024.09.011","title":"Reproducibility of myocardial extracellular volume quantification using dual-energy computed tomography in patients with cardiac amyloidosis","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Pfizer","keywords":"Medicine; Reproducibility; Cardiac amyloidosis; Computed tomography; Radiology; Dual energy; Tomography; Nuclear medicine; Extracellular fluid; Amyloidosis; Cardiology; Internal medicine; Extracellular; Chromatography","score_opus":0.007656798920908507,"score_gpt":0.1937268947387543,"score_spread":0.18607009581784578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403117324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52494955,0.05923999,0.4138953,0.000009698206,0.0014828077,0.00022554547,0.000025219875,0.0001366208,0.00003524823],"genre_scores_gemma":[0.98627466,0.00024191655,0.01299725,0.000004642793,0.00036287998,0.000004920022,0.000029679024,0.00008300139,0.0000010248946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963143,0.00032815736,0.0011607653,0.0007553035,0.0010245097,0.00041698685],"domain_scores_gemma":[0.9975498,0.0000777945,0.00022693178,0.0013909533,0.00060035544,0.00015418968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019503721,0.00040496126,0.0012429511,0.0016363123,0.00007101512,0.00010047823,0.00027378634,0.00015231602,0.000003065504],"category_scores_gemma":[0.000030363364,0.00038273697,0.0023162882,0.0032895394,0.0001478783,0.000624938,0.000052708874,0.0005436745,7.67015e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011764068,0.0001860715,0.059682433,0.00038998402,0.007828394,0.00009673291,0.00023794534,0.8943968,0.0014798274,0.0001031094,0.000120800716,0.035360307],"study_design_scores_gemma":[0.005695623,0.0007400673,0.6219545,0.0029278733,0.0046495106,0.00017026828,0.00022283202,0.32292983,0.013316626,0.0007331673,0.024468476,0.002191236],"about_ca_topic_score_codex":0.000038849972,"about_ca_topic_score_gemma":9.62514e-7,"teacher_disagreement_score":0.5714669,"about_ca_system_score_codex":0.00010998385,"about_ca_system_score_gemma":0.000066270055,"threshold_uncertainty_score":0.99986243},"labels":[],"label_agreement":null},{"id":"W4403309244","doi":"10.1016/j.jcct.2024.09.013","title":"Down by the Bayes’ (theorem): Exploring the use of Bayes’ theorem to establish the diagnosis of obstructive coronary artery disease with coronary CT angiography","year":2024,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Bayes' theorem; Coronary artery disease; Radiology; Cardiology; Angiography; Coronary angiography; Internal medicine; Disease; Artificial intelligence; Myocardial infarction; Bayesian probability; Computer science","score_opus":0.013296673828810628,"score_gpt":0.22155906818448384,"score_spread":0.2082623943556732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403309244","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17363411,0.3187506,0.011299166,0.0018984908,0.48586676,0.0045748996,0.0035846534,0.00020425388,0.00018708502],"genre_scores_gemma":[0.78377825,0.012204204,0.0015965789,0.0004557827,0.2007014,0.00040119872,0.0003804456,0.0004607434,0.000021394962],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919729,0.0011438165,0.0014353233,0.00072662294,0.0040807636,0.00064057397],"domain_scores_gemma":[0.98617744,0.007668452,0.00094791676,0.0023949544,0.0022949097,0.00051631214],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022893462,0.0009215584,0.002434355,0.001289229,0.00027967256,0.0002918558,0.0011744953,0.00021189211,0.000009463218],"category_scores_gemma":[0.0010755201,0.00045707566,0.010907353,0.0031715995,0.0013935912,0.00039029203,0.00040237143,0.0023379622,0.0000020263424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00237935,0.0003846392,0.029955193,0.000569324,0.060120538,0.0023784116,0.00089865807,0.007037602,0.0000042843917,0.00009335397,0.87400764,0.022170985],"study_design_scores_gemma":[0.0040158285,0.0013823534,0.095637195,0.0064499145,0.046536196,0.0017352223,0.001008468,0.00007253902,0.00014069803,0.0006072408,0.8415027,0.0009116417],"about_ca_topic_score_codex":0.000104241866,"about_ca_topic_score_gemma":0.0000030614888,"teacher_disagreement_score":0.61014414,"about_ca_system_score_codex":0.000105577776,"about_ca_system_score_gemma":0.0006243145,"threshold_uncertainty_score":0.9999637},"labels":[],"label_agreement":null},{"id":"W4403527892","doi":"10.1016/j.jcct.2024.09.016","title":"Racial referral bias in cardiac computed tomography: Differences, disparities or discrimination?","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Siemens Healthineers; TD Bank","keywords":"Medicine; Referral; Computed tomography; Radiology; Racial bias; Cardiology; Racism; Family medicine","score_opus":0.057241170843043324,"score_gpt":0.313057032880895,"score_spread":0.25581586203785167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403527892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73127604,0.18869007,0.053234283,0.008762382,0.011921469,0.0026699712,0.00020079348,0.0006721502,0.0025728298],"genre_scores_gemma":[0.9921118,0.0023031333,0.0030412711,0.00033642564,0.001972052,0.000026698757,0.000057795107,0.00007531522,0.00007549127],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9943374,0.00085363263,0.0012505003,0.00054237276,0.0023598832,0.00065624947],"domain_scores_gemma":[0.99740267,0.00041717116,0.00019093223,0.0006475711,0.0008812764,0.00046039934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002269785,0.00046720734,0.0019435969,0.0039433287,0.00014399205,0.0003468264,0.00042653186,0.0002937887,0.0000466211],"category_scores_gemma":[0.00016108518,0.00034318285,0.004979636,0.0042390074,0.00035264232,0.0005095275,0.00016841675,0.0015138045,0.000011281247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006886698,0.002315955,0.3316284,0.0050331107,0.14363635,0.0235296,0.004766772,0.0076670996,0.00066488626,0.0051965658,0.11768593,0.35098863],"study_design_scores_gemma":[0.007131501,0.0025507316,0.712539,0.003332141,0.00491968,0.0027514158,0.00061058084,0.0067632264,0.0005483049,0.0008760115,0.25684652,0.0011308717],"about_ca_topic_score_codex":0.00019552367,"about_ca_topic_score_gemma":0.000010591793,"teacher_disagreement_score":0.3809106,"about_ca_system_score_codex":0.00019246014,"about_ca_system_score_gemma":0.00048345586,"threshold_uncertainty_score":0.999902},"labels":[],"label_agreement":null},{"id":"W4403539065","doi":"10.1016/j.jcct.2024.10.006","title":"Prognostic value of systolic left ventricular ejection fraction using prospective ECG-triggered cardiac CT","year":2024,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Pfizer","keywords":"Medicine; Ejection fraction; Cardiology; Internal medicine; Radiology; Heart failure","score_opus":0.008619678713357929,"score_gpt":0.24544795961297086,"score_spread":0.23682828089961294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403539065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6850382,0.16848546,0.14122318,0.00004567154,0.003987767,0.0008139984,0.000019381027,0.00013641403,0.00024992708],"genre_scores_gemma":[0.993945,0.00059177727,0.0039960495,0.00001548931,0.0013727526,0.000004452568,0.00001242533,0.00005871806,0.0000033112717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691725,0.00032282528,0.0007953606,0.00034318666,0.0013067063,0.00031468272],"domain_scores_gemma":[0.9977208,0.00027840995,0.0003107009,0.0004431394,0.0010350017,0.0002119757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001217105,0.00029947932,0.001384782,0.0015799608,0.00009250407,0.00009818791,0.0001064142,0.000111036214,0.0000041139924],"category_scores_gemma":[0.00030059912,0.00026311202,0.0052774525,0.0017098234,0.00010242257,0.0002658505,0.000040525258,0.0006564967,0.0000041865983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044498054,0.00085070945,0.7679179,0.003662355,0.07808063,0.010644259,0.0003824754,0.110565834,0.002528434,0.00029670098,0.0019185413,0.022707228],"study_design_scores_gemma":[0.008914718,0.0021432275,0.7127519,0.013965771,0.07136466,0.050260086,0.00068506825,0.06898948,0.02660074,0.00091033254,0.041918073,0.0014958946],"about_ca_topic_score_codex":0.00006132691,"about_ca_topic_score_gemma":8.012937e-8,"teacher_disagreement_score":0.30890682,"about_ca_system_score_codex":0.0002844047,"about_ca_system_score_gemma":0.00034958156,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W4406978378","doi":"10.1016/j.jcct.2025.01.005","title":"An unusual interatrial venous connection","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Cardiology; Connection (principal bundle); Internal medicine; Radiology; Geometry","score_opus":0.01842635740701525,"score_gpt":0.3252935876741186,"score_spread":0.30686723026710333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406978378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7852727,0.0107836565,0.19152011,0.00027547893,0.0090970425,0.0005846915,0.000012089525,0.000101988844,0.0023522584],"genre_scores_gemma":[0.9964785,0.0002636225,0.0011041455,0.00030400095,0.0017976486,0.0000053919575,0.000010118331,0.000018243007,0.000018341725],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970945,0.0009887893,0.0008679901,0.0002165261,0.00045465745,0.00037750197],"domain_scores_gemma":[0.998161,0.00016594399,0.00035159796,0.0004494364,0.00069596723,0.0001760597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016160428,0.00017943874,0.00087473437,0.0009949812,0.0004805165,0.00003883973,0.00032150946,0.0002104782,0.000036895977],"category_scores_gemma":[0.000051236664,0.00015376849,0.0024772836,0.001051574,0.000051367384,0.00019938224,0.000050983817,0.0007684176,0.000007976152],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064342967,0.0058056936,0.061452154,0.001375549,0.10052803,0.001250948,0.016217617,0.050388485,0.0029278586,0.0077564307,0.06193801,0.6839249],"study_design_scores_gemma":[0.033085175,0.0052202493,0.07917273,0.0022619471,0.012373592,0.00035864906,0.005308373,0.00942833,0.0015233011,0.0061946088,0.8436601,0.0014129019],"about_ca_topic_score_codex":0.000068209134,"about_ca_topic_score_gemma":0.000009953254,"teacher_disagreement_score":0.7817221,"about_ca_system_score_codex":0.00012801026,"about_ca_system_score_gemma":0.00029997632,"threshold_uncertainty_score":0.62704974},"labels":[],"label_agreement":null},{"id":"W4409664120","doi":"10.1016/j.jcct.2025.04.008","title":"Key advances in cardiac computed tomography: A review of the most relevant studies published in 2024 on coronary and structural heart disease","year":2025,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Medicine; Coronary artery disease; Cardiac imaging; Radiology; Clinical Practice; Computed tomography; Cardiology; Medical physics; Internal medicine","score_opus":0.01341086664925201,"score_gpt":0.29846096129815397,"score_spread":0.28505009464890196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409664120","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015112635,0.99453044,0.000026103502,0.0004415853,0.0026984515,0.0018805644,0.00014259532,0.000021687825,0.00010745558],"genre_scores_gemma":[0.00075579114,0.9978525,0.00046245195,0.00043624366,0.00035189633,0.00003778846,0.000049941256,0.000047698657,0.000005679211],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936997,0.0015959168,0.0021786483,0.00062899024,0.0014602256,0.000436519],"domain_scores_gemma":[0.99534935,0.0013730417,0.0008841442,0.0011991367,0.000905691,0.00028864795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021712226,0.0007600889,0.007802559,0.0024023107,0.000075496726,0.00005635533,0.0004281133,0.00020306162,0.0000026321238],"category_scores_gemma":[0.0014837346,0.00048478512,0.0087273065,0.0049586333,0.0003661744,0.00022243522,0.00031900086,0.0016270104,3.5686622e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002597511,0.0002788526,0.03575874,0.35460514,0.019652482,0.0013770239,0.00009397625,0.0008821421,8.458085e-8,0.00006508051,0.0137393465,0.57328737],"study_design_scores_gemma":[0.0017551067,0.00018434969,0.040867556,0.47129187,0.013556757,0.00044417553,0.000033035565,0.0000148591225,4.3062417e-7,0.00012774748,0.4713215,0.00040264198],"about_ca_topic_score_codex":0.000014275109,"about_ca_topic_score_gemma":0.0000017454313,"teacher_disagreement_score":0.57288474,"about_ca_system_score_codex":0.00016280098,"about_ca_system_score_gemma":0.0008750215,"threshold_uncertainty_score":0.9997604},"labels":[],"label_agreement":null},{"id":"W4409790240","doi":"10.1016/j.jcct.2025.04.010","title":"Using cardiac CT to clarify the relationship between air pollution and atherosclerosis","year":2025,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Circle Cardiovascular Imaging; Bayer","keywords":"Medicine; Cardiology; Internal medicine; Radiology","score_opus":0.0469666100868238,"score_gpt":0.29928539339645593,"score_spread":0.25231878330963214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409790240","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07598344,0.021306938,0.13049048,0.0062384973,0.76273274,0.002076992,0.0005077452,0.000112941445,0.00055020326],"genre_scores_gemma":[0.30062166,0.0012983556,0.020053703,0.0017927153,0.6759642,0.000014704068,0.00006376449,0.00012296296,0.000067951194],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952683,0.0011901419,0.00084451336,0.0003761724,0.0018948215,0.0004260776],"domain_scores_gemma":[0.9970928,0.0012430416,0.0005281509,0.0006390218,0.000122058314,0.00037495387],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004481484,0.00035147904,0.0011006638,0.0004124874,0.0005809053,0.000106268446,0.0005359327,0.0006779167,0.0000054621846],"category_scores_gemma":[0.0007172848,0.0002727338,0.0019042128,0.0013991297,0.0002113924,0.00024412242,0.00031007486,0.002379212,0.0000064899173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003265487,0.000025138625,0.04917403,0.00013421991,0.0022877508,0.000008175755,0.0002986337,0.02785661,0.0000020977643,0.000021744909,0.9137667,0.0063922703],"study_design_scores_gemma":[0.0004280173,0.000103260274,0.29325762,0.0003717988,0.0013423557,0.00000712201,0.000025901805,0.000038708997,0.00000485091,0.00027425133,0.7039205,0.00022561359],"about_ca_topic_score_codex":0.00051204365,"about_ca_topic_score_gemma":0.000007154738,"teacher_disagreement_score":0.24408358,"about_ca_system_score_codex":0.0003542816,"about_ca_system_score_gemma":0.00021398724,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W4410221651","doi":"10.1016/j.jcct.2025.05.004","title":"Letter to the Editor-referencing JCCT-D-25-00140- Racial referral bias in cardiac computed tomography: Differences, disparities or discrimination?","year":2025,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Referral; Computed tomography; Radiology; Medical physics; Family medicine","score_opus":0.04446892008296035,"score_gpt":0.2863244397283974,"score_spread":0.24185551964543703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410221651","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037756924,0.035511613,0.011409068,0.83615476,0.07490232,0.003106967,0.00018048125,0.00018199637,0.0007958521],"genre_scores_gemma":[0.2517392,0.0031848059,0.00679552,0.43220842,0.30345583,0.0002503509,0.0012521946,0.00027931345,0.00083435414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99253416,0.0020335438,0.0017158382,0.00079563557,0.0020302688,0.0008905333],"domain_scores_gemma":[0.99522555,0.0011110508,0.00096532697,0.0012917909,0.0011457532,0.00026050882],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025502602,0.0008526305,0.003008988,0.0035032714,0.0003265148,0.00032520463,0.0010027837,0.0012006173,0.00002370603],"category_scores_gemma":[0.00039054567,0.000555224,0.00433292,0.0026892193,0.00024994527,0.00040076123,0.00021114419,0.005376368,0.000006653762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036876948,0.00014687277,0.009906156,0.00052679295,0.009888457,0.0007613385,0.00072073744,0.0005526668,0.000002882253,0.000014219713,0.970922,0.006189087],"study_design_scores_gemma":[0.0017143731,0.0004854521,0.11048867,0.0016223488,0.0042321673,0.00037358244,0.00016106563,0.00012335103,0.000011607379,0.000058598212,0.8801832,0.00054554874],"about_ca_topic_score_codex":0.00043598856,"about_ca_topic_score_gemma":0.00006220845,"teacher_disagreement_score":0.40394634,"about_ca_system_score_codex":0.00027803206,"about_ca_system_score_gemma":0.00082138955,"threshold_uncertainty_score":0.99968994},"labels":[],"label_agreement":null},{"id":"W4410308302","doi":"10.1016/j.jcct.2025.04.015","title":"Coronary computed tomography angiography to guide percutaneous coronary intervention: Expert opinion from a SCAI/SCCT roundtable","year":2025,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; University of British Columbia","funders":"Minneapolis Heart Institute Foundation","keywords":"Medicine; Percutaneous coronary intervention; Coronary angiography; Expert opinion; Radiology; Computed tomography angiography; Computed tomography; Cardiology; Internal medicine; Intensive care medicine; Myocardial infarction","score_opus":0.024649398202415178,"score_gpt":0.3089833082893957,"score_spread":0.2843339100869805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410308302","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024384347,0.9660087,0.0257001,0.00009311184,0.0040367823,0.0029895846,0.00022929517,0.00027484773,0.0004236832],"genre_scores_gemma":[0.00084106484,0.9647174,0.030951036,0.00029652542,0.0016185578,0.00011147486,0.0009944891,0.00025508084,0.0002144014],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98927724,0.0014281514,0.00408422,0.0016150939,0.002533711,0.0010615732],"domain_scores_gemma":[0.9925673,0.0006195898,0.0016806967,0.0025785596,0.0013883878,0.0011654542],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0011112427,0.0018364213,0.0085383365,0.0061629596,0.00029981422,0.00031329872,0.0013941503,0.0010006714,0.000122039615],"category_scores_gemma":[0.00009084446,0.0015780395,0.041847005,0.0060697035,0.00022440012,0.00052113424,0.0006396706,0.0014934301,0.000047190126],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066404423,0.0018801726,0.0037577942,0.008146563,0.14421794,0.016604086,0.00016410994,0.00036332963,0.0000012836284,0.000007374692,0.04682838,0.7773649],"study_design_scores_gemma":[0.0036811596,0.001968316,0.003938469,0.0582638,0.021507192,0.03421841,0.0000776889,0.00003607106,0.0000018080499,0.000029043227,0.87517256,0.0011054885],"about_ca_topic_score_codex":0.0003200535,"about_ca_topic_score_gemma":0.0000037221516,"teacher_disagreement_score":0.82834417,"about_ca_system_score_codex":0.00080355746,"about_ca_system_score_gemma":0.0009093813,"threshold_uncertainty_score":0.99943805},"labels":[],"label_agreement":null},{"id":"W4410910633","doi":"10.1016/j.jcct.2025.05.238","title":"Triple-vessel coronary cameral fistula as a cause of diffuse coronary artery ectasia: Diagnostic insights from coronary CT angiography","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Ectasia; Coronary angiography; Radiology; Coronary artery ectasia; Cardiology; Internal medicine; Angiography; Myocardial infarction","score_opus":0.007925683844101094,"score_gpt":0.22358049261968074,"score_spread":0.21565480877557966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410910633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8798101,0.11431038,0.0021656891,0.00030409082,0.0017399108,0.0009236587,0.00009700886,0.000115501665,0.00053365825],"genre_scores_gemma":[0.99410033,0.0029571413,0.0015525572,0.0005969197,0.000470443,0.000030097312,0.00016246966,0.000083218416,0.000046806086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99430966,0.0008032162,0.001926627,0.00076174986,0.0015737896,0.00062496326],"domain_scores_gemma":[0.99504834,0.0012967332,0.00076173246,0.0015426959,0.00082821166,0.00052230246],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048235708,0.00080445886,0.002732744,0.0027474742,0.00023275772,0.00006621939,0.000709991,0.0002576351,0.00006079157],"category_scores_gemma":[0.00018529646,0.00073466724,0.007858248,0.0025281438,0.00063246506,0.0005778629,0.0002839182,0.0010123126,0.000009471476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052444753,0.0044247396,0.7691124,0.0005820357,0.10843352,0.062070902,0.0009697739,0.0014428162,0.0010998677,0.00026914102,0.009271043,0.037079256],"study_design_scores_gemma":[0.015123393,0.0021544823,0.94157064,0.0016879691,0.010518758,0.012734427,0.00040662923,0.00019528864,0.0006526872,0.0011849124,0.013158142,0.0006126742],"about_ca_topic_score_codex":0.00010799124,"about_ca_topic_score_gemma":0.000011553497,"teacher_disagreement_score":0.17245822,"about_ca_system_score_codex":0.00012342355,"about_ca_system_score_gemma":0.00050971314,"threshold_uncertainty_score":0.99951047},"labels":[],"label_agreement":null},{"id":"W4411265699","doi":"10.1016/j.jcct.2025.05.237","title":"Preparations for the SCCT Meeting in Montreal","year":2025,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine","score_opus":0.008024815536955544,"score_gpt":0.24934669385724773,"score_spread":0.24132187832029217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411265699","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020741068,0.19726786,0.012913037,0.00066067267,0.7819605,0.0018139167,0.000117676514,0.00004644719,0.0031457734],"genre_scores_gemma":[0.036136467,0.0026912803,0.0017033728,0.0000735607,0.95879674,0.00011127402,0.00011576271,0.000056835703,0.0003146816],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972604,0.00016577466,0.00084107724,0.00027968743,0.0011737797,0.00027931383],"domain_scores_gemma":[0.9965124,0.0012213958,0.00037247926,0.00046375944,0.0013196236,0.00011033414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016463244,0.00029390265,0.0013620893,0.0009505472,0.00012833539,0.00006928834,0.00034295797,0.00040218513,0.0000031597676],"category_scores_gemma":[0.0006437597,0.00019585545,0.0057340194,0.0010017867,0.00007070426,0.00006705783,0.00007713479,0.0011168479,5.4832884e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068002386,0.00011492317,0.0002339764,0.00038277952,0.010503156,0.00021472498,0.000116643416,0.0058548376,0.000003986389,0.000009005721,0.9673518,0.014534134],"study_design_scores_gemma":[0.004083545,0.0005214017,0.0026488309,0.0013885512,0.0055962657,0.00009287013,0.00006301156,0.0015750274,0.000020807316,0.00016367964,0.98365104,0.00019499315],"about_ca_topic_score_codex":0.00014765105,"about_ca_topic_score_gemma":0.00012187654,"teacher_disagreement_score":0.19457659,"about_ca_system_score_codex":0.00009880349,"about_ca_system_score_gemma":0.00062937266,"threshold_uncertainty_score":0.79867536},"labels":[],"label_agreement":null},{"id":"W4411295689","doi":"10.1016/j.jcct.2025.05.241","title":"CT derived fractional flow reserve: Part 2 – Critical appraisal of the literature","year":2025,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; National Heart, Lung, and Blood Institute; Hartstichting; National Health and Medical Research Council; Magyar Tudományos Akadémia; National Heart Foundation of Australia; European Atherosclerosis Society","keywords":"Fractional flow reserve; Medicine; Critical appraisal; Cardiology; Internal medicine; Pathology; Coronary angiography","score_opus":0.017416985311269367,"score_gpt":0.31748270965596914,"score_spread":0.3000657243446998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411295689","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013825748,0.98741543,0.0045467857,0.00019528672,0.0068326606,0.00038620195,0.00017195093,0.00002546022,0.00041240055],"genre_scores_gemma":[0.00021094069,0.9938441,0.0030036047,0.00007664866,0.0027097801,0.000011642936,0.000079093,0.000048973732,0.000015231193],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99532914,0.00097598,0.0013474354,0.00035175963,0.0016694242,0.0003262741],"domain_scores_gemma":[0.9933438,0.0030291884,0.0005681252,0.0011444804,0.0016713468,0.00024306317],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.001257141,0.0004972535,0.0039910073,0.0010291231,0.00011270172,0.00009453246,0.0004731765,0.00030533812,0.000011321278],"category_scores_gemma":[0.0037505631,0.0003186443,0.020449115,0.0023440535,0.0002691537,0.000108613276,0.00018773113,0.0020476917,0.0000018631727],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013807708,0.0006680461,0.000612534,0.07071015,0.058851328,0.0031501355,0.0000788112,0.0013426786,5.325588e-7,0.00017329898,0.08624898,0.77802545],"study_design_scores_gemma":[0.0010665623,0.00007913697,0.0004272923,0.07634299,0.02080916,0.0064669847,0.000008559302,0.000021633725,0.0000055439027,0.00003397963,0.89451534,0.00022280862],"about_ca_topic_score_codex":0.0000036537504,"about_ca_topic_score_gemma":1.3128177e-7,"teacher_disagreement_score":0.80826634,"about_ca_system_score_codex":0.00006178139,"about_ca_system_score_gemma":0.0011396393,"threshold_uncertainty_score":0.99992657},"labels":[],"label_agreement":null},{"id":"W4411333662","doi":"10.1016/j.jcct.2025.04.007","title":"Cardiac computed tomography for prosthetic heart valve assessment. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the European Society of Cardiovascular Radiology (ESCR), the North American Society of Cardiovascular Imaging (NASCI), the Radiological Society of North America (RSNA), the Society for Cardiovascular Angiography &amp; Interventions (SCAI) and Society of Thoracic Surgeons (STS)","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Computed tomography; Radiology; Positron Emission Tomography-Computed Tomography; Cardiology; Computed tomography angiography; Medical physics; Internal medicine","score_opus":0.017192353978392104,"score_gpt":0.30484946432759646,"score_spread":0.2876571103492044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411333662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54781634,0.32461774,0.11209058,0.0012204923,0.0009240319,0.009997521,0.0032168569,0.00009578395,0.000020670497],"genre_scores_gemma":[0.9584454,0.023543464,0.016243128,0.00038907822,0.00051675073,0.00040914412,0.00025600218,0.00019425171,0.0000027239787],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.98102576,0.007860167,0.004174967,0.001756801,0.003693657,0.0014886551],"domain_scores_gemma":[0.9819281,0.0026327816,0.0037900382,0.006385052,0.0048820586,0.00038195148],"candidate_categories":["metaepi_narrow","metaepi_broad","sts"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.013730812,0.0016634092,0.0097763855,0.00045731242,0.0014226072,0.0000811913,0.0026366957,0.00035614317,0.0000016275493],"category_scores_gemma":[0.00009983307,0.00091813895,0.32549384,0.008477307,0.013192578,0.00020464565,0.0011982244,0.0016220426,1.11785305e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005002552,0.0011394649,0.15973923,0.002443491,0.7056579,0.0000053353797,0.00340782,0.097097926,0.00016080927,0.000027614988,0.015408101,0.014412081],"study_design_scores_gemma":[0.009685134,0.0022606137,0.72979933,0.0011028345,0.1733245,0.0003424439,0.020598589,0.004360227,0.00031814328,0.0001071355,0.056902003,0.0011990515],"about_ca_topic_score_codex":0.0016616932,"about_ca_topic_score_gemma":0.000012621835,"teacher_disagreement_score":0.5700601,"about_ca_system_score_codex":0.00021594042,"about_ca_system_score_gemma":0.00085134484,"threshold_uncertainty_score":0.9998774},"labels":[],"label_agreement":null},{"id":"W4412391701","doi":"10.1016/j.jcct.2025.07.002","title":"Artificial intelligence in Pre-TAVR coronary evaluation: A step forward","year":2025,"lang":"en","type":"editorial","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Cardiology; Internal medicine","score_opus":0.013110781304799894,"score_gpt":0.2896552689681837,"score_spread":0.27654448766338385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412391701","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013131483,0.114494324,0.073069364,0.00018376802,0.80875903,0.0013006087,0.00009044457,0.000066506065,0.00072277634],"genre_scores_gemma":[0.045014575,0.0046104672,0.0128840795,0.00013917424,0.9367432,0.00006008247,0.0003718145,0.00013001988,0.00004659299],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9923914,0.000647493,0.0016951999,0.00054117554,0.004273462,0.00045125445],"domain_scores_gemma":[0.99320537,0.0013939942,0.0006067312,0.0009848577,0.003538164,0.00027089386],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0045415484,0.00053116906,0.002463233,0.002470451,0.000071598115,0.00011729871,0.00043091766,0.00081049127,0.00001842368],"category_scores_gemma":[0.0026379023,0.0005051236,0.00598259,0.0018491504,0.00014904891,0.00013976802,0.00014989352,0.0023261742,0.00000532801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085389125,0.00042712933,0.001370585,0.00064504,0.01308414,0.001880483,0.00017032125,0.023359923,0.0000012573526,0.000017935217,0.72660404,0.23158528],"study_design_scores_gemma":[0.0036785558,0.00095931196,0.011031061,0.006515685,0.019952558,0.0007235374,0.00011541602,0.0076645734,0.00006285954,0.00096958317,0.94751936,0.00080749684],"about_ca_topic_score_codex":0.000059113372,"about_ca_topic_score_gemma":0.0000070861847,"teacher_disagreement_score":0.23077779,"about_ca_system_score_codex":0.00039845437,"about_ca_system_score_gemma":0.0028005722,"threshold_uncertainty_score":0.9999755},"labels":[],"label_agreement":null},{"id":"W4412494302","doi":"10.1016/j.jcct.2025.05.210","title":"Assessing The Predictive Value Of Lipoprotein(a) And C-reactive Protein For Detecting Subclinical Atherosclerosis","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Predictive value; Subclinical infection; C-reactive protein; Internal medicine; Cardiology; Lipoprotein(a); Predictive value of tests; Lipoprotein; Cholesterol; Inflammation","score_opus":0.019608852097070098,"score_gpt":0.29573619204236384,"score_spread":0.27612733994529376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.722393,0.01738125,0.25748584,0.0003420053,0.00030131885,0.001913413,0.0000056279823,0.000025588937,0.0001519873],"genre_scores_gemma":[0.98337805,0.00017605643,0.015667103,0.00010538898,0.00056488346,0.0000682868,0.0000016782398,0.00003314915,0.0000053820518],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99678475,0.0005501535,0.0010121507,0.00034499416,0.0009826135,0.0003253289],"domain_scores_gemma":[0.9969483,0.00038745702,0.00058864127,0.00072180043,0.001188888,0.00016490617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005163022,0.0002663057,0.0014433959,0.0004907213,0.00025260303,0.000086240536,0.00022935784,0.00021797644,8.375546e-7],"category_scores_gemma":[0.00058442017,0.00017976457,0.0040929094,0.0009898634,0.00026476078,0.00023209686,0.00009868982,0.00068191905,9.870226e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002853102,0.0012000259,0.024673445,0.0044798343,0.11105706,0.00010284576,0.0013522214,0.0052879583,0.014125946,0.0018750394,0.0001871216,0.8328054],"study_design_scores_gemma":[0.03494615,0.0067008557,0.7712812,0.012139098,0.0247101,0.0014979477,0.0036084382,0.011673648,0.110695824,0.0046431236,0.017111234,0.000992408],"about_ca_topic_score_codex":0.00009727201,"about_ca_topic_score_gemma":0.0000012460896,"teacher_disagreement_score":0.831813,"about_ca_system_score_codex":0.00007181076,"about_ca_system_score_gemma":0.00039492836,"threshold_uncertainty_score":0.73305863},"labels":[],"label_agreement":null},{"id":"W4412494308","doi":"10.1016/j.jcct.2025.05.058","title":"Coronary Calcium Scoring: Limitations In Detecting Plaques Across Age And Sex Groups","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Coronary artery disease","score_opus":0.030329253276928574,"score_gpt":0.2812556218484906,"score_spread":0.25092636857156203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91064316,0.048535213,0.038337428,0.00018134667,0.0007553087,0.0002165507,0.0000041970966,0.00004862139,0.0012781922],"genre_scores_gemma":[0.9954496,0.00062541536,0.0034645498,0.0001640218,0.00025374664,0.0000036755084,0.000003552497,0.000016706672,0.000018749026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851245,0.00013734246,0.00048806646,0.00020171558,0.00039257426,0.0002678697],"domain_scores_gemma":[0.9987975,0.00044403644,0.00011145516,0.00028251833,0.00022652192,0.00013798766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091243023,0.00016976616,0.0007440495,0.00072203553,0.00010353544,0.000077912046,0.000089960486,0.00009301437,3.7575677e-7],"category_scores_gemma":[0.00029901016,0.00016175977,0.0011850201,0.0009132517,0.000112539696,0.00012227768,0.00008225009,0.000511352,3.7939938e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019539925,0.00026126474,0.7978637,0.00039252962,0.0074354475,0.00717827,0.0015546916,0.008745002,0.00029165912,0.00016566171,0.00068175246,0.17523462],"study_design_scores_gemma":[0.004681994,0.00018873245,0.9795251,0.0009390864,0.0009838509,0.0017534299,0.00090089376,0.0006812059,0.0007245618,0.00031091284,0.00912188,0.00018836964],"about_ca_topic_score_codex":0.000028831042,"about_ca_topic_score_gemma":0.0000049129258,"teacher_disagreement_score":0.18166138,"about_ca_system_score_codex":0.000055465003,"about_ca_system_score_gemma":0.000084958825,"threshold_uncertainty_score":0.6596372},"labels":[],"label_agreement":null},{"id":"W4412494399","doi":"10.1016/j.jcct.2025.05.009","title":"Refining Cardiovascular Risk: Reducing Events Using Imaging-Based Treatment Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Refining (metallurgy); Internal medicine; Radiology; Cardiology; Metallurgy","score_opus":0.013058121709787191,"score_gpt":0.26517635359360453,"score_spread":0.2521182318838173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38965943,0.27178973,0.33388668,0.00017742623,0.0025080512,0.00039648853,0.000019316556,0.00015368032,0.0014091698],"genre_scores_gemma":[0.9784086,0.00050881517,0.020245599,0.000100237005,0.0006579605,0.0000059476793,0.000012583616,0.000052414292,0.000007846457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9965367,0.000495248,0.0008879516,0.0004547294,0.0011391229,0.00048628685],"domain_scores_gemma":[0.9970573,0.00023761009,0.00037272624,0.0011260168,0.0009492697,0.0002570664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016460074,0.00044711443,0.0018332911,0.0016334841,0.00025421468,0.00013930703,0.00020512454,0.00012520663,0.0000034515658],"category_scores_gemma":[0.00021594917,0.00038903742,0.009760506,0.0014857859,0.00012557444,0.00022726065,0.000056212823,0.00054592785,0.0000018676586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024687895,0.00034218267,0.15021786,0.00020991483,0.04385366,0.0013852122,0.000109256995,0.7166152,0.00016612616,0.000026448273,0.00032898423,0.086498305],"study_design_scores_gemma":[0.049292356,0.0014065264,0.56224257,0.008978841,0.11182127,0.0051631434,0.0011973121,0.045745805,0.006270363,0.000551557,0.20538437,0.0019458964],"about_ca_topic_score_codex":0.00042976794,"about_ca_topic_score_gemma":0.0000011944162,"teacher_disagreement_score":0.67086935,"about_ca_system_score_codex":0.0003454264,"about_ca_system_score_gemma":0.0010226212,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W4412494415","doi":"10.1016/j.jcct.2025.05.206","title":"Refining Cardiovascular Risk: Reducing Events Using Imaging-Based Treatment Strategies","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Refining (metallurgy); Internal medicine; Intensive care medicine; Cardiology; Radiology; Metallurgy","score_opus":0.013058121709787191,"score_gpt":0.26517635359360453,"score_spread":0.2521182318838173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38965943,0.27178973,0.33388668,0.00017742623,0.0025080512,0.00039648853,0.000019316556,0.00015368032,0.0014091698],"genre_scores_gemma":[0.9784086,0.00050881517,0.020245599,0.000100237005,0.0006579605,0.0000059476793,0.000012583616,0.000052414292,0.000007846457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9965367,0.000495248,0.0008879516,0.0004547294,0.0011391229,0.00048628685],"domain_scores_gemma":[0.9970573,0.00023761009,0.00037272624,0.0011260168,0.0009492697,0.0002570664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016460074,0.00044711443,0.0018332911,0.0016334841,0.00025421468,0.00013930703,0.00020512454,0.00012520663,0.0000034515658],"category_scores_gemma":[0.00021594917,0.00038903742,0.009760506,0.0014857859,0.00012557444,0.00022726065,0.000056212823,0.00054592785,0.0000018676586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024687895,0.00034218267,0.15021786,0.00020991483,0.04385366,0.0013852122,0.000109256995,0.7166152,0.00016612616,0.000026448273,0.00032898423,0.086498305],"study_design_scores_gemma":[0.049292356,0.0014065264,0.56224257,0.008978841,0.11182127,0.0051631434,0.0011973121,0.045745805,0.006270363,0.000551557,0.20538437,0.0019458964],"about_ca_topic_score_codex":0.00042976794,"about_ca_topic_score_gemma":0.0000011944162,"teacher_disagreement_score":0.67086935,"about_ca_system_score_codex":0.0003454264,"about_ca_system_score_gemma":0.0010226212,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W4412494488","doi":"10.1016/j.jcct.2025.05.008","title":"Association Between Long-term Fine Particulate Air Pollution Exposure And Cardiac CT Coronary Artery Calcium Scores","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ted Rogers Centre for Heart Research; Toronto General Hospital","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Term (time); Coronary artery disease; Particulates","score_opus":0.01634116871004648,"score_gpt":0.2542442131358274,"score_spread":0.23790304442578092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728839,0.009358721,0.015020754,0.0017932204,0.0005652379,0.00024674888,0.000015762304,0.000031632495,0.00008401431],"genre_scores_gemma":[0.99842256,0.0003145648,0.0005749945,0.00036859835,0.00026589909,0.0000027832093,0.000009397128,0.0000109031025,0.000030284555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743885,0.00053409167,0.00061825494,0.00023769515,0.0007953295,0.00037577067],"domain_scores_gemma":[0.9989325,0.0001234746,0.00033705524,0.000287939,0.00006965538,0.00024939844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018739095,0.00019715758,0.00067302684,0.00024176334,0.00021594232,0.00005072804,0.00017236048,0.00011758055,0.00001618501],"category_scores_gemma":[0.000055853445,0.0001785861,0.0009851988,0.0006738797,0.000110766225,0.0003624669,0.000118592645,0.00035836743,0.0000068489667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035349785,0.000046118945,0.9529526,0.00006191467,0.0032753618,0.000074566946,0.00009567575,0.0070732376,0.000031725573,0.000009599958,0.0036536728,0.032690153],"study_design_scores_gemma":[0.001098563,0.00016882995,0.99184763,0.00014537649,0.0010348352,0.0000490156,0.000012565469,0.00007855213,0.00027451437,0.00020048479,0.004926118,0.00016352115],"about_ca_topic_score_codex":0.00005074293,"about_ca_topic_score_gemma":0.000007701411,"teacher_disagreement_score":0.038895,"about_ca_system_score_codex":0.00023357036,"about_ca_system_score_gemma":0.000047742556,"threshold_uncertainty_score":0.728253},"labels":[],"label_agreement":null},{"id":"W4412494496","doi":"10.1016/j.jcct.2025.05.130","title":"Association Of Statin Therapy With Progression Of Coronary Artery Calcium Composition And Density On Noncontrast Computed Tomography","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Coronary artery calcium; Radiology; Computed tomography; Coronary artery disease; Internal medicine; Cardiology","score_opus":0.004663422190411658,"score_gpt":0.20991627749467412,"score_spread":0.20525285530426246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.705036,0.00819019,0.28611332,0.00003200726,0.00025819812,0.00023278978,0.000011007768,0.000047435256,0.0000791079],"genre_scores_gemma":[0.989997,0.00035227335,0.009523553,0.000030301693,0.00006292581,0.0000028754432,0.000010562705,0.000019867102,6.403517e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99829984,0.00017809428,0.0005700264,0.00015937527,0.0005906114,0.00020207721],"domain_scores_gemma":[0.9986612,0.00015738464,0.00035394315,0.00022406036,0.0005297591,0.00007361507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049320015,0.00022757427,0.0007739592,0.0007185525,0.00006905103,0.000024936196,0.0001320401,0.00010062154,9.39587e-7],"category_scores_gemma":[0.000005208682,0.00019296822,0.0006626083,0.0008702203,0.000084626256,0.00020046037,0.00002080837,0.00033704532,8.33215e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020556876,0.0008935972,0.18872164,0.0008465446,0.032621767,0.00023486385,0.0007720569,0.51123965,0.024184234,0.00017185851,0.0006103516,0.23764776],"study_design_scores_gemma":[0.015263635,0.0020414547,0.84167033,0.003812325,0.0017697671,0.00034169672,0.00026047314,0.028756283,0.10350747,0.00050596445,0.0013192529,0.00075132755],"about_ca_topic_score_codex":0.000002893624,"about_ca_topic_score_gemma":8.637812e-7,"teacher_disagreement_score":0.6529487,"about_ca_system_score_codex":0.000047969774,"about_ca_system_score_gemma":0.000029991485,"threshold_uncertainty_score":0.7869016},"labels":[],"label_agreement":null},{"id":"W4412494711","doi":"10.1016/j.jcct.2025.05.139","title":"Association Between Long-term Fine Particulate Air Pollution Exposure And Cardiac CT Coronary Artery Calcium Scores","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ted Rogers Centre for Heart Research; Toronto General Hospital","funders":"","keywords":"Medicine; Coronary artery calcium; Cardiology; Internal medicine; Term (time); Particulates; Calcium; Coronary artery disease","score_opus":0.01634116871004648,"score_gpt":0.2542442131358274,"score_spread":0.23790304442578092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728839,0.009358721,0.015020754,0.0017932204,0.0005652379,0.00024674888,0.000015762304,0.000031632495,0.00008401431],"genre_scores_gemma":[0.99842256,0.0003145648,0.0005749945,0.00036859835,0.00026589909,0.0000027832093,0.000009397128,0.0000109031025,0.000030284555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743885,0.00053409167,0.00061825494,0.00023769515,0.0007953295,0.00037577067],"domain_scores_gemma":[0.9989325,0.0001234746,0.00033705524,0.000287939,0.00006965538,0.00024939844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018739095,0.00019715758,0.00067302684,0.00024176334,0.00021594232,0.00005072804,0.00017236048,0.00011758055,0.00001618501],"category_scores_gemma":[0.000055853445,0.0001785861,0.0009851988,0.0006738797,0.000110766225,0.0003624669,0.000118592645,0.00035836743,0.0000068489667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035349785,0.000046118945,0.9529526,0.00006191467,0.0032753618,0.000074566946,0.00009567575,0.0070732376,0.000031725573,0.000009599958,0.0036536728,0.032690153],"study_design_scores_gemma":[0.001098563,0.00016882995,0.99184763,0.00014537649,0.0010348352,0.0000490156,0.000012565469,0.00007855213,0.00027451437,0.00020048479,0.004926118,0.00016352115],"about_ca_topic_score_codex":0.00005074293,"about_ca_topic_score_gemma":0.000007701411,"teacher_disagreement_score":0.038895,"about_ca_system_score_codex":0.00023357036,"about_ca_system_score_gemma":0.000047742556,"threshold_uncertainty_score":0.728253},"labels":[],"label_agreement":null},{"id":"W4412494719","doi":"10.1016/j.jcct.2025.05.176","title":"Lower Epicardial Adipose Tissue Volume And Higher Density Are Associated With Histological Acute Cellular Rejection In Cardiac Transplant Patients","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Epicardial adipose tissue; Adipose tissue; Epicardial fat; Cardiology; Internal medicine; Pathology; Radiology","score_opus":0.004709586297332797,"score_gpt":0.1932563696603988,"score_spread":0.18854678336306602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669896,0.025800323,0.00519893,0.00015951939,0.0010076637,0.00053433527,0.000028012666,0.000048672515,0.00023296542],"genre_scores_gemma":[0.99875,0.00051991397,0.00027951557,0.00011765133,0.00021325074,0.000006417375,0.00004556167,0.000024699286,0.00004303079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99714476,0.00059706875,0.00057391566,0.00043573082,0.0008933868,0.00035512456],"domain_scores_gemma":[0.9984625,0.00005797558,0.00023558475,0.00046931204,0.00048960507,0.00028501192],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073741254,0.00033575395,0.0018122016,0.00073617214,0.000114342976,0.000045078235,0.00012821687,0.00031383452,0.000004678075],"category_scores_gemma":[0.000033915927,0.00027351006,0.002854028,0.0011165052,0.00015617292,0.0001525452,0.000050529205,0.00067961577,0.0000010072417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025286633,0.0010618633,0.9057028,0.00017570658,0.07143948,0.0063843117,0.000097338845,0.0006064968,0.00038615856,0.000022647846,0.0009810124,0.010613518],"study_design_scores_gemma":[0.007219214,0.0005691334,0.9674556,0.00069713715,0.016279165,0.00014742615,0.000010463432,0.000040778537,0.00056792545,0.00002852032,0.00670983,0.00027475192],"about_ca_topic_score_codex":0.000023343635,"about_ca_topic_score_gemma":0.0000027380634,"teacher_disagreement_score":0.061752852,"about_ca_system_score_codex":0.0001297886,"about_ca_system_score_gemma":0.00010038071,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W4413438605","doi":"10.1016/j.jcct.2025.08.003","title":"Three-dimensional left atrial strain from retrospective gated computed tomography: Comparison with speckle-tracking echocardiography in patients with aortic stenosis","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"H2020 European Research Council; NIHR Imperial Biomedical Research Centre; European Research Council; National Institutes of Health; British Heart Foundation; Edwards Lifesciences; UK Research and Innovation; Alan Turing Institute; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research","keywords":"Medicine; Stenosis; Speckle tracking echocardiography; Cardiology; Internal medicine; Radiology; Aortic valve stenosis; Heart failure; Ejection fraction","score_opus":0.007836250820074808,"score_gpt":0.21929298757433205,"score_spread":0.21145673675425725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413438605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321458,0.005761928,0.05908794,0.000083618295,0.0013242047,0.0012844005,0.00008526555,0.00015384579,0.00007302665],"genre_scores_gemma":[0.99127555,0.00007215764,0.0077384827,0.00011402081,0.00050756143,0.0000032222188,0.00020069466,0.00008662774,0.0000016563099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933338,0.0004948876,0.0015640655,0.0009421959,0.0029469621,0.0007180918],"domain_scores_gemma":[0.9954171,0.00019361616,0.00069741934,0.0011279616,0.0021205854,0.00044327954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011522716,0.0008093182,0.0033019732,0.004024932,0.00023585289,0.00016926025,0.0003865761,0.00038812534,0.00003036188],"category_scores_gemma":[0.000050801853,0.00060406426,0.0072947075,0.0053846785,0.00037386917,0.00035729696,0.000103877755,0.0016487483,0.0000023887915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040806937,0.0006279067,0.89618045,0.0000666152,0.05364013,0.00032035148,0.00010253709,0.037622914,0.000017560422,0.000012606742,0.00035864848,0.006969569],"study_design_scores_gemma":[0.025977977,0.0015715935,0.9599072,0.0015408666,0.0077689523,0.00006240656,0.000106566804,0.0011733946,0.00016710963,0.0000897221,0.001020163,0.0006140504],"about_ca_topic_score_codex":0.0003191885,"about_ca_topic_score_gemma":0.00006593291,"teacher_disagreement_score":0.06372673,"about_ca_system_score_codex":0.0002834403,"about_ca_system_score_gemma":0.00035391533,"threshold_uncertainty_score":0.99964106},"labels":[],"label_agreement":null},{"id":"W4414106727","doi":"10.1016/j.jcct.2025.08.008","title":"Analysis of the coronary artery calcium score for identifying coronary artery plaque in patients clinically referred for preventive screening with non-typical symptoms stratified by age and sex","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"Stichting de Drie Lichten; Edwards Lifesciences","keywords":"Coronary artery calcium; Coronary artery disease; Framingham Risk Score; Artery; Coronary Calcium Score; Risk assessment; Predictive value of tests","score_opus":0.018022633182945266,"score_gpt":0.277707625396598,"score_spread":0.2596849922136527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414106727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77162904,0.001902132,0.2250998,0.00005447504,0.00025521865,0.0009476245,0.00008101686,0.000009469152,0.00002122257],"genre_scores_gemma":[0.9954905,0.00004186114,0.0040810034,0.00015113797,0.000075447155,0.00002283215,0.000104745726,0.000021717591,0.00001078437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976519,0.00019879501,0.0009980442,0.0003297281,0.00056103483,0.00026053053],"domain_scores_gemma":[0.9978268,0.00072448177,0.00040460046,0.0004315602,0.0004905235,0.00012202517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009803068,0.0002352341,0.0014051575,0.0007816853,0.00009199729,0.000047740297,0.00017390953,0.00014345879,5.261146e-7],"category_scores_gemma":[0.00012630696,0.00017386054,0.002668796,0.0010685059,0.00018549248,0.0001167493,0.000071037255,0.0003757182,2.1380984e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026692816,0.00038231895,0.94364136,0.00023107397,0.036904078,0.00011753379,0.00016051726,0.0033601497,0.000049916074,0.000005172221,0.00083341455,0.011645182],"study_design_scores_gemma":[0.011328069,0.0008218016,0.96909636,0.001183245,0.014248571,0.00006825564,0.00013501415,0.0026157098,0.000114756185,0.000049848357,0.00017762097,0.0001607196],"about_ca_topic_score_codex":0.0000072369658,"about_ca_topic_score_gemma":0.000004495367,"teacher_disagreement_score":0.22386144,"about_ca_system_score_codex":0.00003959774,"about_ca_system_score_gemma":0.00014020073,"threshold_uncertainty_score":0.7089827},"labels":[],"label_agreement":null},{"id":"W4414163534","doi":"10.1016/j.jcct.2025.08.011","title":"Reassessing pretest probability: Coronary artery calcium alone predicts obstructive CAD","year":2025,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Dr. Miriam and Sheldon G. Adelson Medical Research Foundation","keywords":"Coronary artery disease; CAD; Coronary artery calcium; Coronary angiography; Artery; Predictive value of tests","score_opus":0.016888780693951326,"score_gpt":0.270491439213987,"score_spread":0.25360265852003566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414163534","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30583516,0.48885348,0.024564829,0.12811258,0.027360335,0.012691154,0.0029745798,0.0010144431,0.008593445],"genre_scores_gemma":[0.753603,0.0035950926,0.016411725,0.17499445,0.045661665,0.0002609858,0.004184262,0.0007969958,0.0004918223],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9942334,0.0005327805,0.0013227143,0.00084317557,0.0023592485,0.0007086717],"domain_scores_gemma":[0.9951738,0.00026432547,0.0007973136,0.0015359784,0.0018157681,0.00041280908],"candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005681923,0.0008732464,0.0033100732,0.0014403259,0.00016916788,0.00015110793,0.0003811827,0.0009887338,0.000014043688],"category_scores_gemma":[0.00011719605,0.00074925524,0.022421537,0.0011501744,0.00027890084,0.00026285005,0.0001748071,0.00277991,0.0000038218154],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009930308,0.0007908055,0.094299994,0.0036884625,0.32593423,0.038161755,0.00012619539,0.0008713141,0.000010699857,0.0000052137016,0.5024628,0.032655515],"study_design_scores_gemma":[0.012953892,0.0011849956,0.49604255,0.0068206973,0.092249975,0.011214069,0.000051551415,0.00007723038,0.00006824878,0.00071473856,0.37750816,0.0011138627],"about_ca_topic_score_codex":0.0000315292,"about_ca_topic_score_gemma":2.0832358e-7,"teacher_disagreement_score":0.4852584,"about_ca_system_score_codex":0.00042753818,"about_ca_system_score_gemma":0.0011224994,"threshold_uncertainty_score":0.9995207},"labels":[],"label_agreement":null},{"id":"W4414710434","doi":"10.1016/j.jcct.2025.09.006","title":"New anatomical classification to plan transcatheter correction of sinus venosus defect based on 3D models","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"3d model; Plan (archaeology); Sinus venosus; Sinus (botany); MEDLINE","score_opus":0.01644020109401127,"score_gpt":0.24022005487157977,"score_spread":0.2237798537775685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414710434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04411106,0.0054752063,0.944484,0.00033052644,0.00095405953,0.00052970997,0.000007040108,0.000060359085,0.0040480504],"genre_scores_gemma":[0.9915964,0.000058426693,0.007872386,0.00021695955,0.00019099754,0.000008380669,0.000017002156,0.000025855768,0.000013610705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976853,0.00022039903,0.0007026491,0.0003216845,0.0008485019,0.00022143182],"domain_scores_gemma":[0.9979429,0.00014507274,0.00018306152,0.0008538551,0.00060185115,0.0002732555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006928482,0.0002341654,0.0009564896,0.0017747526,0.00007672617,0.000032774962,0.00022721369,0.0001921029,0.000006693816],"category_scores_gemma":[0.000060432874,0.00021416802,0.006895481,0.0018580866,0.000043892538,0.000086888096,0.000020390396,0.00044968876,0.0000033653039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015908941,0.0005495533,0.0011197226,0.00012063659,0.017435003,0.00006423973,0.00016827651,0.8204391,0.0007380359,0.00047343966,0.004406625,0.15289447],"study_design_scores_gemma":[0.035171576,0.004212639,0.21736747,0.005081318,0.034568775,0.0022654505,0.00017959466,0.6260195,0.008926112,0.0019673535,0.06290096,0.0013392468],"about_ca_topic_score_codex":0.000034211727,"about_ca_topic_score_gemma":0.0000011966405,"teacher_disagreement_score":0.9474853,"about_ca_system_score_codex":0.000117890304,"about_ca_system_score_gemma":0.0003265135,"threshold_uncertainty_score":0.8733518},"labels":[],"label_agreement":null},{"id":"W4416257159","doi":"10.1016/j.jcct.2025.10.014","title":"CT-derived computational modelling in the lifetime management of aortic stenosis","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"National Health and Medical Research Council","keywords":"Stenosis; Psychological intervention; Valve replacement; Aortic valve replacement; Aortic valve stenosis; Risk assessment; Aortic valve; valvular heart disease","score_opus":0.011246137267157001,"score_gpt":0.27367583262341466,"score_spread":0.26242969535625765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416257159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91298115,0.018339718,0.06723796,0.00016063801,0.00020335654,0.0004124088,0.0000063720845,0.000009656953,0.00064876326],"genre_scores_gemma":[0.9932344,0.0005503596,0.006020392,0.00011597303,0.000049173614,0.0000066337007,0.000010413043,0.000009699526,0.0000029300115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99818105,0.00015236042,0.00058582687,0.00015034413,0.00077259226,0.00015782355],"domain_scores_gemma":[0.9990677,0.000075173666,0.00017192311,0.0003239935,0.00029305532,0.000068128895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005129902,0.00014777944,0.0006578205,0.00060615566,0.000043521555,0.000023408129,0.00015822143,0.000028120803,0.0000031702684],"category_scores_gemma":[0.00000428549,0.0001053287,0.0050256043,0.0010414522,0.000052084397,0.00005512998,0.000038608036,0.00016592961,8.174357e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003205356,0.0009396664,0.09170088,0.00050769694,0.067645855,0.0007429918,0.00015969067,0.8122667,0.000006523035,0.00043826544,0.0002663628,0.025004854],"study_design_scores_gemma":[0.010227228,0.00024456964,0.95313513,0.0014929753,0.0152399875,0.00012135852,0.0005151289,0.016503192,0.000082261824,0.0014840118,0.00077700976,0.0001771645],"about_ca_topic_score_codex":0.000013761968,"about_ca_topic_score_gemma":2.8613957e-8,"teacher_disagreement_score":0.8614342,"about_ca_system_score_codex":0.000038931055,"about_ca_system_score_gemma":0.000065877175,"threshold_uncertainty_score":0.50684565},"labels":[],"label_agreement":null},{"id":"W7117142268","doi":"10.1016/j.jcct.2025.12.001","title":"Coronary computed Tomography–Based surveillance for coronary allograft vasculopathy in pediatric heart transplant recipients: The role of CT-derived fractional flow reserve","year":2025,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fractional flow reserve; Cardiac allograft vasculopathy; Coronary flow reserve; Heart transplantation; Coronary artery disease; Computed tomography","score_opus":0.011414370490170824,"score_gpt":0.25696134648636787,"score_spread":0.24554697599619704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117142268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70713174,0.052572332,0.23599583,0.0008306427,0.0015913484,0.0015276398,0.00020161177,0.000068462905,0.00008041829],"genre_scores_gemma":[0.94593793,0.0013256042,0.05193327,0.00030659325,0.00029780323,0.000035144873,0.00012501833,0.000036195277,0.0000024158617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995744,0.00089872314,0.0013696552,0.00042934902,0.0011138725,0.00044443234],"domain_scores_gemma":[0.99654645,0.0013310307,0.0004093097,0.00062393385,0.00090995454,0.00017930304],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027372502,0.00039186576,0.0015618458,0.0016884399,0.00016371613,0.00003292542,0.0004349938,0.00016390721,0.000009058478],"category_scores_gemma":[0.00006686412,0.00029921322,0.004390438,0.0024395904,0.00017340337,0.00016809578,0.000031452855,0.00067518966,3.8885307e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027624553,0.00057900185,0.94667345,0.00045346146,0.005464471,0.0002456492,0.00014180978,0.033899926,0.00034194285,0.0000497958,0.00028882915,0.009099188],"study_design_scores_gemma":[0.0108467005,0.0005773834,0.9727938,0.0005169188,0.00184601,0.0004994326,0.000077507444,0.006223452,0.00066406175,0.00034270834,0.0053487867,0.00026320797],"about_ca_topic_score_codex":0.000053767955,"about_ca_topic_score_gemma":0.000026016085,"teacher_disagreement_score":0.23880625,"about_ca_system_score_codex":0.000058972608,"about_ca_system_score_gemma":0.0003768427,"threshold_uncertainty_score":0.999946},"labels":[],"label_agreement":null},{"id":"W957450740","doi":"10.1016/j.jcct.2015.07.008","title":"Dynamism of the aortic annulus: Effect of diastolic versus systolic CT annular measurements on device selection in transcatheter aortic valve replacement (TAVR)","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Providence Health Care","funders":"","keywords":"Medicine; Diastole; Cardiology; Perimeter; Systole; Internal medicine; Cardiac cycle; Aortic valve; Blood pressure; Mathematics; Geometry","score_opus":0.021388751195141244,"score_gpt":0.2926357920172652,"score_spread":0.271247040822124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W957450740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877938,0.010130523,0.00037570597,0.000028726803,0.0006909807,0.0008481933,0.000009554292,0.000013911437,0.00010861645],"genre_scores_gemma":[0.9996479,0.00008928171,0.00007677452,0.000024312814,0.0001043839,0.000016710414,0.0000051994334,0.000034213837,0.0000012130832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959614,0.00076505705,0.00087119854,0.0002749846,0.0018265344,0.00030080887],"domain_scores_gemma":[0.99796396,0.00009010497,0.00050574593,0.000561052,0.00061624555,0.00026291134],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0014857877,0.00031490592,0.0013231238,0.0006930981,0.000041307336,0.000014053112,0.00019540667,0.00007610161,0.0000030853946],"category_scores_gemma":[0.0001307273,0.00021373258,0.010494711,0.001265343,0.000075329306,0.00010035885,0.000032562933,0.00029141625,0.0000014650161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068194373,0.0014206722,0.87717,0.0008078525,0.07114523,0.00004129779,0.00048743872,0.026531167,0.0003199319,0.000004615299,0.00008507664,0.015167228],"study_design_scores_gemma":[0.028643625,0.0054821484,0.93843067,0.00157174,0.019792557,0.00021319503,0.00008024181,0.0009187125,0.004438869,0.000017060074,0.00016388472,0.00024727883],"about_ca_topic_score_codex":0.00010406254,"about_ca_topic_score_gemma":0.0000019586198,"teacher_disagreement_score":0.06126064,"about_ca_system_score_codex":0.000283309,"about_ca_system_score_gemma":0.00017498383,"threshold_uncertainty_score":0.9994149},"labels":[],"label_agreement":null},{"id":"W968088381","doi":"10.1016/j.jcct.2015.07.006","title":"Utilization of cardiac computed tomography angiography and outpatient invasive coronary angiography in Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Ottawa; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Coronary angiography; Radiology; Computed tomography angiography; Angiography; Computed tomography; Computed tomographic angiography; Cardiology; Myocardial infarction","score_opus":0.018428829843639884,"score_gpt":0.21550376879575486,"score_spread":0.19707493895211498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W968088381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83169144,0.16355573,0.0017123487,0.0000798414,0.0015882128,0.00066538993,0.00004996677,0.00003124831,0.00062579504],"genre_scores_gemma":[0.9957963,0.00044445673,0.0033016652,0.00015606658,0.00016245538,0.000007445636,0.00008523767,0.000044123557,0.0000022491774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99599594,0.00037707278,0.0011540628,0.00041619345,0.0016002638,0.00045644725],"domain_scores_gemma":[0.9962204,0.00027381786,0.0005370764,0.0006189483,0.0016913017,0.000658465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010091083,0.00043556775,0.0018276223,0.0030767645,0.000060293303,0.000042152777,0.00021443516,0.00019196514,0.0000051387015],"category_scores_gemma":[0.00011059056,0.00041763223,0.005311872,0.0033153624,0.00025999686,0.00020956591,0.000111702626,0.00059749896,3.7822196e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033063133,0.00029133342,0.97430164,0.00013622465,0.009904928,0.00040712746,0.00061775325,0.0042450153,0.000012394816,0.000017511607,0.0059873685,0.0037480628],"study_design_scores_gemma":[0.004565616,0.00077115034,0.97933185,0.0006749373,0.0030631665,0.0004762361,0.0004701063,0.0000778672,0.00028263248,0.000096640746,0.009812243,0.0003775572],"about_ca_topic_score_codex":0.28409594,"about_ca_topic_score_gemma":0.0682967,"teacher_disagreement_score":0.21579926,"about_ca_system_score_codex":0.00019880438,"about_ca_system_score_gemma":0.0015242803,"threshold_uncertainty_score":0.99982756},"labels":[],"label_agreement":null}]}