{"meta":{"query_hash":"296b933d196d","filters":{"venue":"Investigative Radiology"},"cohort_total":85,"direct_labels_cover":0,"predictions_cover":85,"exported":85,"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/296b933d196d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Investigative+Radiology"},"results":[{"id":"W1972423289","doi":"10.1097/rli.0b013e3181ae9c40","title":"Relative Recirculation","year":2009,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Magnetic resonance imaging; Gadodiamide; Nuclear medicine; Receiver operating characteristic; Radiology; Internal medicine","score_opus":0.031194961811645845,"score_gpt":0.2819915766719138,"score_spread":0.250796614860268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972423289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78253603,0.00027225606,0.004049248,0.022049839,0.00014392164,0.00049388275,0.000002916668,0.0001542053,0.19029772],"genre_scores_gemma":[0.97960526,0.000014415306,0.011679724,0.006607817,0.00019162934,0.000011694956,0.00004510454,0.000008916228,0.0018354467],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913615,0.00008129033,0.00020482701,0.0002667509,0.00011068028,0.00020031657],"domain_scores_gemma":[0.99942285,0.00007461375,0.00009308804,0.0002194741,0.00006780215,0.00012215556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014024909,0.00012604863,0.00025687047,0.000105684725,0.000043397027,0.0000034389318,0.000060962037,0.0001097833,0.00008996853],"category_scores_gemma":[0.00043095317,0.00010976929,0.00006017725,0.00019531729,0.00032828093,0.000088594425,0.0000165186,0.0002125241,0.00012402995],"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":[0.0002913929,0.00019689878,0.08101647,0.000035692334,0.0006504133,0.00037308052,0.003646529,0.00008993321,0.40364894,0.1837452,0.29940918,0.026896255],"study_design_scores_gemma":[0.0020482575,0.0012293127,0.866455,0.00008462025,0.00019416725,0.0004599774,0.00016475756,0.00072629884,0.024431156,0.050688237,0.05322723,0.00029095577],"about_ca_topic_score_codex":0.0000039310025,"about_ca_topic_score_gemma":2.9744737e-7,"teacher_disagreement_score":0.78543854,"about_ca_system_score_codex":0.00014317666,"about_ca_system_score_gemma":0.000049807382,"threshold_uncertainty_score":0.44762614},"labels":[],"label_agreement":null},{"id":"W1978446931","doi":"10.1097/rli.0b013e31815603d7","title":"Noninvasive Quantification of Tumor Volume in Preclinical Liver Metastasis Models Using Contrast-Enhanced X-Ray Computed Tomography","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Medicine; Parenchyma; In vivo; Nuclear medicine; Liver parenchyma; Liver tumor; Metastasis; Computed tomography; Volume (thermodynamics); Pathology; Contrast (vision); Tomography; Ex vivo; Coefficient of variation; Radiology; Hepatocellular carcinoma; Chemistry; Cancer; Biology; Internal medicine","score_opus":0.21736450136387125,"score_gpt":0.3094354764809487,"score_spread":0.09207097511707746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978446931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802597,0.0016408279,0.016714603,0.00020417872,0.00008469453,0.00089743565,0.00003660783,0.00004035473,0.00012155827],"genre_scores_gemma":[0.97286737,0.000087466186,0.026573872,0.00021034745,0.00005478075,0.00006372619,0.00009992405,0.00002272127,0.00001976732],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977682,0.00058422115,0.0006877786,0.00047480623,0.00017006972,0.0003148841],"domain_scores_gemma":[0.99854755,0.0003960309,0.00031308754,0.00028383758,0.0002712325,0.00018823076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032531327,0.00023857685,0.00090387854,0.00034637612,0.00006819034,0.0000036094957,0.00011039878,0.0001690767,0.000042888725],"category_scores_gemma":[0.000250483,0.00021428626,0.00022570766,0.00057758734,0.0013787783,0.00013296863,0.000029321984,0.00025849277,0.0000097812945],"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":[0.0003823099,0.0005546294,0.85938483,0.00010765069,0.0006062049,0.0007129312,0.0028979166,0.0016391621,0.13231054,0.00074875914,0.00013828717,0.00051679695],"study_design_scores_gemma":[0.0046099243,0.0014741975,0.30358022,0.0002668178,0.00051031937,0.0005838705,0.00018222746,0.40401474,0.2829655,0.0013816636,0.000039881867,0.00039064552],"about_ca_topic_score_codex":0.00025732946,"about_ca_topic_score_gemma":0.000022804288,"teacher_disagreement_score":0.5558046,"about_ca_system_score_codex":0.00008250447,"about_ca_system_score_gemma":0.0002929588,"threshold_uncertainty_score":0.873834},"labels":[],"label_agreement":null},{"id":"W1979542567","doi":"10.1097/rli.0b013e318226c427","title":"In Vivo Characterization of Changing Blood-Tumor Barrier Permeability in a Mouse Model of Breast Cancer Metastasis","year":2011,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health","keywords":"In vivo; Brain metastasis; Permeability (electromagnetism); Breast cancer; Metastasis; Magnetic resonance imaging; Blood–brain barrier; Medicine; Pathology; Ex vivo; Cancer research; Cancer; Internal medicine; Chemistry; Central nervous system; Biology; Radiology","score_opus":0.054330287948997955,"score_gpt":0.2831721315907567,"score_spread":0.22884184364175875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979542567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774104,0.000067695124,0.00006620413,0.00084792374,0.000060198818,0.00044407463,0.00062871655,0.000012090185,0.00013203843],"genre_scores_gemma":[0.99758005,0.00016695392,0.0013213996,0.00060840003,0.000036526675,0.00020078321,0.000009962852,0.000022635057,0.000053261338],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984849,0.00022036754,0.0005562123,0.00033148378,0.00012285543,0.00028416593],"domain_scores_gemma":[0.9991037,0.00007337404,0.00028684532,0.00027745232,0.00014814566,0.00011046934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042510044,0.00016722849,0.0007075955,0.00047383938,0.000013153821,9.727376e-7,0.00011616834,0.00010630752,0.00056649063],"category_scores_gemma":[0.00015020448,0.00015684041,0.000071943046,0.00046626697,0.00075513736,0.00014498488,0.00004917939,0.0001863193,7.887606e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001357875,0.0001744816,0.33060893,0.00017007317,0.0000718111,0.00000812376,0.0076847747,0.00011348393,0.66039175,0.0005651921,0.000011424056,0.0000641484],"study_design_scores_gemma":[0.0012198911,0.00013884454,0.15774931,0.00018533944,0.000102976155,0.000029373174,0.00024080383,0.003869627,0.83545536,0.00087669067,0.0000053739354,0.0001264263],"about_ca_topic_score_codex":0.0011505894,"about_ca_topic_score_gemma":0.00024903816,"teacher_disagreement_score":0.17506358,"about_ca_system_score_codex":0.0001604201,"about_ca_system_score_gemma":0.00027740563,"threshold_uncertainty_score":0.6395767},"labels":[],"label_agreement":null},{"id":"W1986361216","doi":"10.1097/rli.0b013e31823cc75c","title":"In Vitro and In Vivo High-Intensity Focused Ultrasound Thrombolysis","year":2012,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Thrombolysis; Biomedical engineering; Ultrasound; In vivo; Blood flow; Thrombus; Medicine; Ultrasonic sensor; Materials science; Nuclear medicine; Radiology; Surgery; Cardiology; Myocardial infarction","score_opus":0.0151227851822145,"score_gpt":0.21929560670959955,"score_spread":0.20417282152738506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986361216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806964,0.0005162213,0.00015730328,0.00030585143,0.00013912671,0.00013187052,0.000018478475,0.00006510151,0.0005964296],"genre_scores_gemma":[0.99742603,0.00009126553,0.0019427205,0.00032905382,0.00010887081,0.000056102308,0.000008268307,0.000018513003,0.000019189785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999239,0.000059847505,0.00018349927,0.00015505128,0.000040060997,0.00032248435],"domain_scores_gemma":[0.9994329,0.00028383054,0.000021631053,0.00014064985,0.00001344642,0.000107492975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013501354,0.00013977438,0.00031425932,0.00012406312,0.000030057685,0.0000073093156,0.00007776963,0.00012106954,0.000050175193],"category_scores_gemma":[0.000086547596,0.00013577068,0.000021644637,0.00024040266,0.00034892905,0.00016611305,0.000012898427,0.0002132374,0.000019934134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007792522,0.000024388944,0.04832414,0.000009008361,0.000028016551,0.0000021357891,0.0017533168,0.0001657736,0.947241,0.0018510314,0.00048619247,0.00010721558],"study_design_scores_gemma":[0.00084525615,0.00002684805,0.501493,0.000015750215,0.000027918724,0.0001396492,0.00030260909,0.00063285447,0.47513014,0.017839462,0.0031110747,0.00043544834],"about_ca_topic_score_codex":0.00016807184,"about_ca_topic_score_gemma":0.00013708112,"teacher_disagreement_score":0.47211087,"about_ca_system_score_codex":0.00007755592,"about_ca_system_score_gemma":0.000010046892,"threshold_uncertainty_score":0.55365676},"labels":[],"label_agreement":null},{"id":"W2002135139","doi":"10.1097/01.rli.0000242807.01818.24","title":"Contrast-Induced Nephropathy in Patients With Chronic Kidney Disease Undergoing Computed Tomography","year":2006,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; St. John’s Health Sciences Centre","funders":"","keywords":"Iodixanol; Iopamidol; Medicine; Contrast-induced nephropathy; Kidney disease; Renal function; Nephropathy; Nephrotoxicity; Urology; Creatinine; Hemodialysis; Iodinated contrast; Kidney; Nuclear medicine; Internal medicine; Diabetes mellitus; Contrast medium; Radiology; Endocrinology; Computed tomography","score_opus":0.01431570286228543,"score_gpt":0.255029250351365,"score_spread":0.24071354748907955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002135139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934148,0.00018163314,0.00018776182,0.0039530923,0.00011469522,0.0011678861,0.0001435806,0.00010810806,0.0007284101],"genre_scores_gemma":[0.9952033,0.000004348489,0.0007967773,0.0026860794,0.0002554463,0.000113284696,0.00083286985,0.000047738886,0.000060112754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975454,0.00039231818,0.0004080043,0.00057843234,0.00035440794,0.0007214193],"domain_scores_gemma":[0.9980847,0.0002486118,0.00013909455,0.00039121963,0.00021937808,0.00091694336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000193452,0.00031604813,0.00057824684,0.00049368315,0.000098127115,0.000017376638,0.00018019456,0.0001537309,0.00009115135],"category_scores_gemma":[0.0005197069,0.00025437612,0.00008395806,0.00085354847,0.0011840049,0.00013936339,0.00006550113,0.000551577,0.000034362536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009129771,0.00030225868,0.9779105,0.000093863906,0.00012661856,0.00021123147,0.00007821871,0.000017168019,0.005834476,0.0013389192,0.013008085,0.00016567402],"study_design_scores_gemma":[0.010906047,0.002134452,0.98165655,0.00027730883,0.00006967272,0.000017387736,0.000015513304,0.0004481338,0.0017978405,0.0016060799,0.0007928532,0.00027818495],"about_ca_topic_score_codex":0.00015050602,"about_ca_topic_score_gemma":0.00008810114,"teacher_disagreement_score":0.0122152325,"about_ca_system_score_codex":0.00045198918,"about_ca_system_score_gemma":0.0018131833,"threshold_uncertainty_score":0.9999908},"labels":[],"label_agreement":null},{"id":"W2004237183","doi":"10.1097/01.rli.0000251572.56139.a3","title":"Fast Retrospectively Gated Quantitative Four-Dimensional (4D) Cardiac Micro Computed Tomography Imaging of Free-Breathing Mice","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Nuclear medicine; Scanner; Voxel; Breathing; Cardiac PET; Medicine; Cardiac cycle; Ejection fraction; Biomedical engineering; Radiology; Positron emission tomography; Physics; Anatomy; Cardiology; Heart failure; Optics","score_opus":0.030735413423263934,"score_gpt":0.3027690617755105,"score_spread":0.2720336483522466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004237183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429725,0.00069409737,0.047489446,0.0063292366,0.0001700215,0.00064906274,0.00010562328,0.0002578545,0.00133218],"genre_scores_gemma":[0.6850093,0.000008223631,0.31355888,0.0011839465,0.000099008896,0.000014410543,0.000078332814,0.000021474583,0.000026390288],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805045,0.00018661944,0.0005773164,0.0004982572,0.00025849955,0.00042885306],"domain_scores_gemma":[0.9977322,0.0007026415,0.00032716146,0.00039352605,0.00051671395,0.0003277565],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008615467,0.00025493035,0.0006984616,0.000444589,0.00015435765,0.000009649789,0.00022799893,0.0001436689,0.000027805198],"category_scores_gemma":[0.0007046431,0.00022874307,0.00020214161,0.000936922,0.0028171327,0.00007583345,0.000118598145,0.0005594658,0.000005859791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116881245,0.000115527335,0.07717063,0.00005610797,0.000281084,0.00009900632,0.00093932793,0.000007686452,0.8754099,0.033180013,0.012097096,0.00052673975],"study_design_scores_gemma":[0.0023293942,0.00067399646,0.3078475,0.0006666832,0.00032525012,0.0007232265,0.0006561998,0.005040361,0.6503391,0.028457673,0.00237679,0.0005637764],"about_ca_topic_score_codex":0.00026081255,"about_ca_topic_score_gemma":0.000004724843,"teacher_disagreement_score":0.26606944,"about_ca_system_score_codex":0.00011197284,"about_ca_system_score_gemma":0.00017187251,"threshold_uncertainty_score":0.99989665},"labels":[],"label_agreement":null},{"id":"W2005556719","doi":"10.1097/01.rli.0000186568.50265.64","title":"Multimodal Contrast Agent for Combined Computed Tomography and Magnetic Resonance Imaging Applications","year":2006,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Iohexol; In vivo; Magnetic resonance imaging; Gadolinium; Liposome; Imaging phantom; Contrast (vision); Biomedical engineering; Computed tomography; Preclinical imaging; Materials science; Nuclear medicine; Chemistry; Radiology; Medicine; Computer science; Nanotechnology","score_opus":0.014763593514382636,"score_gpt":0.23432015249788707,"score_spread":0.21955655898350443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005556719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94825935,0.004854157,0.04363204,0.0012018887,0.0001651324,0.0010839687,0.00035022455,0.00015268275,0.00030055223],"genre_scores_gemma":[0.9704041,0.0000063049615,0.028465578,0.0006264356,0.00010117296,0.0002779151,0.0000832611,0.000010873434,0.000024359835],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990141,0.00012329641,0.0002329227,0.00032614474,0.000062104016,0.00024146657],"domain_scores_gemma":[0.9994057,0.00024820052,0.0000716554,0.00012706852,0.00008438726,0.000062984036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015387699,0.00013324087,0.00023329112,0.000069029426,0.00019119427,0.000033609493,0.00011667604,0.000037954993,0.000032472664],"category_scores_gemma":[0.000016761594,0.000119570825,0.000043999877,0.00012289148,0.0010196476,0.00007761396,0.000021535181,0.000054557597,0.00001206693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044085966,0.000048372003,0.0061185393,0.00002656389,0.0000046460577,0.000004297121,0.00009669759,0.00003125676,0.931842,0.059838958,0.0009011498,0.0010434093],"study_design_scores_gemma":[0.0046446687,0.0004974886,0.43778604,0.00005203685,0.00008466094,0.00012645876,0.000091232156,0.009005681,0.2828815,0.24804012,0.01615959,0.00063051836],"about_ca_topic_score_codex":0.000121940626,"about_ca_topic_score_gemma":0.000039028182,"teacher_disagreement_score":0.64896053,"about_ca_system_score_codex":0.000012181083,"about_ca_system_score_gemma":0.000021428828,"threshold_uncertainty_score":0.48759568},"labels":[],"label_agreement":null},{"id":"W2007515996","doi":"10.1097/rli.0b013e31827752b4","title":"Dynamic and Static Magnetic Resonance Angiography of the Supra-aortic Vessels at 3.0 T","year":2012,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Gadobutrol; Magnetic resonance angiography; Nuclear medicine; Medicine; Magnetic resonance imaging; Gadolinium; Radiology; Materials science","score_opus":0.017110135070452705,"score_gpt":0.28905986534607975,"score_spread":0.271949730275627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007515996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98546565,0.01087339,0.0008018129,0.0019405407,0.00003612383,0.00046706226,0.000024453766,0.000034949575,0.00035600772],"genre_scores_gemma":[0.97897,0.0003091918,0.019685918,0.0006716475,0.000017827882,0.00009024676,0.000007584705,0.000013106047,0.00023451344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999294,0.000072463765,0.0001942877,0.00015164433,0.000068814654,0.00021882572],"domain_scores_gemma":[0.9993303,0.00013686853,0.000101712605,0.0002796882,0.000036069334,0.0001153621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098029086,0.00010347917,0.00022429247,0.000055138455,0.000068853544,0.0000011637305,0.000073918534,0.00006402474,0.000024765242],"category_scores_gemma":[0.00009488535,0.00007045428,0.00007124851,0.00027203123,0.0015210898,0.00004107869,0.000059729115,0.00011668896,0.0000030428607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063366555,0.00016460264,0.6678957,0.00013312987,0.000050664694,0.0000029688258,0.0023698325,0.000011637294,0.27666575,0.03932743,0.0031158389,0.010199114],"study_design_scores_gemma":[0.00043271974,0.0002911602,0.94629884,0.000080227364,0.00012338583,0.00017131143,0.00009778025,0.0003092258,0.018946439,0.023783224,0.009342812,0.00012287845],"about_ca_topic_score_codex":0.000009951125,"about_ca_topic_score_gemma":0.0000043426453,"teacher_disagreement_score":0.27840316,"about_ca_system_score_codex":0.000036369955,"about_ca_system_score_gemma":0.000026289119,"threshold_uncertainty_score":0.56045187},"labels":[],"label_agreement":null},{"id":"W2010265989","doi":"10.1097/rli.0b013e31823fd42b","title":"Accuracy of Dynamic Computed Tomography Adenosine Stress Myocardial Perfusion Imaging in Estimating Myocardial Blood Flow at Various Degrees of Coronary Artery Stenosis Using a Porcine Animal Model","year":2011,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Sanofi","keywords":"Medicine; Blood flow; Cardiology; Perfusion; Internal medicine; Myocardial perfusion imaging; Stenosis; Perfusion scanning; Coronary circulation; Artery; Computed tomography; Radiology","score_opus":0.02973215607877751,"score_gpt":0.26505901948679955,"score_spread":0.23532686340802203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010265989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909899,0.0022176462,0.005377081,0.00011257741,0.0003242473,0.0005599627,0.00022266615,0.00006916461,0.00012674257],"genre_scores_gemma":[0.8838415,0.00003935718,0.11564511,0.00013974306,0.000120375655,0.000016482869,0.00014549172,0.000050353614,0.0000015957106],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973237,0.00034555953,0.0009196029,0.0005789383,0.00030472726,0.0005274835],"domain_scores_gemma":[0.9977814,0.0006887752,0.0005343688,0.00043315234,0.0003315457,0.00023073835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037567035,0.00041204866,0.001321277,0.00062558544,0.00009640652,0.00000711956,0.00017541602,0.00018852548,0.000013376627],"category_scores_gemma":[0.00080890564,0.0004066063,0.00033946458,0.0004911455,0.0013528562,0.00016081778,0.00025008153,0.00040435736,0.000001234494],"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":[0.0006419678,0.00036769005,0.8238402,0.00017856288,0.00036029445,0.0004435677,0.004570974,0.04178323,0.1263936,0.000049548482,0.000059092054,0.0013112474],"study_design_scores_gemma":[0.0024405562,0.00039153287,0.4918034,0.0005228031,0.00056113076,0.0007379764,0.00016680855,0.49813086,0.004847502,0.00018556557,2.0504642e-7,0.00021164358],"about_ca_topic_score_codex":0.0005212693,"about_ca_topic_score_gemma":0.000020268151,"teacher_disagreement_score":0.45634764,"about_ca_system_score_codex":0.00015265605,"about_ca_system_score_gemma":0.00034118004,"threshold_uncertainty_score":0.9998386},"labels":[],"label_agreement":null},{"id":"W2017491610","doi":"10.1097/01.rli.0000191594.76235.a0","title":"Computerized Quantification of Joint Space Narrowing and Periarticular Demineralization in Patients With Rheumatoid Arthritis Based on Digital X-Ray Radiogrammetry","year":2005,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Rheumatoid arthritis; Radiography; Nuclear medicine; Rheumatology; Internal medicine; Radiology; Orthodontics","score_opus":0.013383930580187444,"score_gpt":0.22868380805121274,"score_spread":0.2152998774710253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017491610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930496,0.0008806681,0.0039814953,0.001493539,0.000026161693,0.00047903231,0.0000132084915,0.000029482313,0.000046800717],"genre_scores_gemma":[0.99313116,0.00049305725,0.0059832605,0.00017403973,0.000017904877,0.000025948992,0.00015221766,0.00001906671,0.000003346356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987252,0.00018499911,0.00035390368,0.0002824675,0.00021280219,0.00024064408],"domain_scores_gemma":[0.99928886,0.00011884208,0.00012933333,0.00017931641,0.000130026,0.00015365148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021686355,0.00015697282,0.0004419556,0.00029891104,0.000050857947,0.000025296658,0.000044193344,0.0000780823,0.000015718722],"category_scores_gemma":[0.0003782365,0.00012876933,0.000039176273,0.0002728762,0.00073215296,0.0001833179,0.000013845018,0.00015075442,0.0000035580454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095789036,0.00045770823,0.94849676,0.000055486107,0.00010411094,0.00001647876,0.0013407946,0.0028783528,0.024965594,0.0021539377,0.00015418153,0.018418713],"study_design_scores_gemma":[0.013888143,0.0023501015,0.93358815,0.0011281809,0.0000031460918,0.00003355993,0.00015064795,0.0370599,0.010485878,0.00025589974,0.00079529843,0.00026110967],"about_ca_topic_score_codex":0.000025547526,"about_ca_topic_score_gemma":0.000011714261,"teacher_disagreement_score":0.034181546,"about_ca_system_score_codex":0.000052972042,"about_ca_system_score_gemma":0.0000718974,"threshold_uncertainty_score":0.5251061},"labels":[],"label_agreement":null},{"id":"W2028332799","doi":"10.1097/rli.0b013e3180cc2041","title":"Quantification of Roughness of Calcific Deposits in Computed Tomography Scans of Human Coronary Arteries","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","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 Waterloo","funders":"","keywords":"Coronary arteries; Medicine; Coronary artery disease; Voxel; Radiology; Artery; Nuclear medicine; Cardiology","score_opus":0.03437250812432385,"score_gpt":0.3069476866337722,"score_spread":0.27257517850944835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028332799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958651,0.00081599155,0.0023855148,0.00012325888,0.00012962843,0.000213195,0.000023587823,0.0000149901,0.00042873755],"genre_scores_gemma":[0.99819165,0.000009360839,0.0016070701,0.000055447334,0.000029329776,0.0000046636687,0.000087709515,0.0000094053485,0.0000053559565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989043,0.0001221644,0.0005432067,0.0001687956,0.00010810353,0.00015345323],"domain_scores_gemma":[0.99879915,0.0004427318,0.00026223273,0.0002103009,0.00021960524,0.00006597558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032930847,0.000103429986,0.0005345062,0.00033114658,0.00001863698,0.0000010290305,0.00006609871,0.000096583426,0.000002845052],"category_scores_gemma":[0.00022334213,0.000100875404,0.00008501921,0.0004467568,0.0017174197,0.000031791777,0.000017953778,0.000118599295,4.924103e-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":[0.00007775102,0.00010990385,0.71498007,0.00012647247,0.000049804872,0.000017547018,0.0012126578,0.00006262274,0.27946177,0.0033954151,0.00010293386,0.00040302926],"study_design_scores_gemma":[0.0005971699,0.00029793577,0.7190825,0.0001760774,0.000040804054,0.00004681043,0.0003333824,0.00004444023,0.27861828,0.00069994834,0.000009214485,0.000053448388],"about_ca_topic_score_codex":0.00025074516,"about_ca_topic_score_gemma":0.000091489244,"teacher_disagreement_score":0.0041024038,"about_ca_system_score_codex":0.000024753117,"about_ca_system_score_gemma":0.00007344713,"threshold_uncertainty_score":0.63279045},"labels":[],"label_agreement":null},{"id":"W2029526435","doi":"10.1097/rli.0b013e3181c443e1","title":"Semiautomatic Lymph Node Segmentation in Multislice Computed Tomography","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Lymph node; Nuclear medicine; Medicine; Multislice; Multislice computed tomography; Volume (thermodynamics); Segmentation; Lymph; Tomography; Computed tomography; Radiology; Computer science; Physics; Pathology; Artificial intelligence","score_opus":0.016262693880751168,"score_gpt":0.2898911000354004,"score_spread":0.27362840615464923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029526435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954504,0.0001752744,0.000068215595,0.0026238817,0.00032385634,0.00047018385,0.0000098560595,0.00008186742,0.0007965158],"genre_scores_gemma":[0.98122823,0.000019923034,0.016282614,0.0020543116,0.0001094449,0.00018247357,0.00008418223,0.00001558789,0.000023242868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901,0.0001027825,0.00025990355,0.00029847905,0.000100538586,0.0002282421],"domain_scores_gemma":[0.9992808,0.00020887428,0.00009428263,0.00021261774,0.000053858745,0.00014955278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264816,0.00015851537,0.00033718903,0.00020049751,0.000039918883,0.000007700485,0.00006524745,0.00013234277,0.00006981421],"category_scores_gemma":[0.0000899812,0.0001319118,0.00006342753,0.000321101,0.00039505694,0.000059383252,0.00002013557,0.00021968057,0.0000381214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026655953,0.000205913,0.93567836,0.000071820206,0.00013049722,0.0000765552,0.0011774906,0.000045297285,0.058806755,0.001016065,0.00074068445,0.0020238776],"study_design_scores_gemma":[0.0033046585,0.00014460091,0.9648215,0.00012258366,0.00006544468,0.00014507514,0.000084619416,0.0024822822,0.02740217,0.0011302077,0.00016873995,0.00012809128],"about_ca_topic_score_codex":0.00029211032,"about_ca_topic_score_gemma":0.00018138529,"teacher_disagreement_score":0.031404585,"about_ca_system_score_codex":0.00016441254,"about_ca_system_score_gemma":0.0001138116,"threshold_uncertainty_score":0.5379207},"labels":[],"label_agreement":null},{"id":"W2033014822","doi":"10.1097/rli.0b013e3181a64d76","title":"Grading of Aortic Valve Stenosis at 64-Slice Spiral Computed Tomography","year":2009,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cardiac Valve Diseases and Treatments","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":"University of Alberta","funders":"","keywords":"Medicine; Stenosis; Multislice; Nuclear medicine; Spiral computed tomography; Cardiac catheterization; Radiology; Aortic valve stenosis; Aortic valve; Multislice computed tomography; Tomography; Doppler echocardiography; Body orifice; Computed tomography; Cardiology; Anatomy; Diastole; Blood pressure","score_opus":0.02601686493895537,"score_gpt":0.3159664255420023,"score_spread":0.28994956060304694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033014822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996177,0.0012448387,0.000032861764,0.0005087599,0.00014568704,0.00038231848,0.00004478001,0.00006856874,0.0013951972],"genre_scores_gemma":[0.9971253,0.000032360844,0.0011036395,0.0014612278,0.000095248804,0.000014582764,0.000111258334,0.000015607204,0.000040773863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986886,0.00013953286,0.00033649956,0.00034797698,0.00016306146,0.0003243758],"domain_scores_gemma":[0.9989919,0.0001232864,0.00017396947,0.0002862781,0.00010664471,0.00031794154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080663376,0.00022210242,0.0006564542,0.00020069354,0.00008221421,0.000004360175,0.00007970194,0.0001103457,0.000041916686],"category_scores_gemma":[0.000082329556,0.00018958171,0.0010743571,0.00032982184,0.0005419884,0.00004754521,0.000033215198,0.00012367911,0.000021278825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015780254,0.00024265722,0.97721136,0.000045219338,0.0017071407,0.000031800315,0.00041811253,0.0000118400685,0.015838176,0.0011268833,0.0012440678,0.0019649297],"study_design_scores_gemma":[0.0017892156,0.0011759821,0.98485434,0.00008638517,0.0008942487,0.000048010843,0.00004771303,0.00011547641,0.00835658,0.0024093739,0.00007309405,0.00014957231],"about_ca_topic_score_codex":0.000054379627,"about_ca_topic_score_gemma":0.0000010238905,"teacher_disagreement_score":0.0076429783,"about_ca_system_score_codex":0.00011648976,"about_ca_system_score_gemma":0.000063340776,"threshold_uncertainty_score":0.7730918},"labels":[],"label_agreement":null},{"id":"W2037617087","doi":"10.1097/01.rli.0000135980.08491.33","title":"Macrophage Imaging in Central Nervous System and in Carotid Atherosclerotic Plaque Using Ultrasmall Superparamagnetic Iron Oxide in Magnetic Resonance Imaging","year":2004,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":231,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Multiple sclerosis; Medicine; Magnetic resonance imaging; Pathology; Stroke (engine); Macrophage; Blood–brain barrier; Central nervous system; Radiology; Internal medicine; Immunology; Chemistry; In vitro","score_opus":0.02124524903671406,"score_gpt":0.264301571495923,"score_spread":0.2430563224592089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037617087","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":[0.3405294,0.6575313,0.00000408112,0.000036782367,0.000096803604,0.0016779505,0.00003366207,0.00003809586,0.00005187015],"genre_scores_gemma":[0.35826015,0.6404096,0.00055359217,0.00016162635,0.00011072191,0.00024952076,0.00009703046,0.00014134806,0.000016413645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99505424,0.0012434246,0.001232676,0.0011340925,0.00021635345,0.0011192227],"domain_scores_gemma":[0.9986048,0.00024981998,0.00022458412,0.00050087355,0.0000363363,0.00038362097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040584092,0.00080269924,0.0026604994,0.0008152617,0.000054661974,0.00004046342,0.00025131064,0.0002850919,0.000018795585],"category_scores_gemma":[0.00021320827,0.00076565344,0.00030427988,0.00067387515,0.0011225326,0.00013265997,0.00010059867,0.0010421928,0.000008943903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000685636,0.00028619706,0.8388408,0.045911815,0.000048909733,0.003783813,0.0021176785,0.0007692959,0.0011791046,0.0003629599,0.00000972381,0.10662115],"study_design_scores_gemma":[0.007008686,0.0002362439,0.837184,0.13558605,0.00094658753,0.011817001,0.001261364,0.0017848866,0.00005069495,0.00015947896,0.0022918012,0.0016732079],"about_ca_topic_score_codex":0.002109699,"about_ca_topic_score_gemma":0.00046771512,"teacher_disagreement_score":0.10494795,"about_ca_system_score_codex":0.0018572665,"about_ca_system_score_gemma":0.00095809135,"threshold_uncertainty_score":0.9994795},"labels":[],"label_agreement":null},{"id":"W2040022821","doi":"10.1097/01.rli.0000262571.81771.66","title":"Hyperpolarized 3He Ventilation Defects and Apparent Diffusion Coefficients in Chronic Obstructive Pulmonary Disease","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; London Health Sciences Centre; Western University; Robarts Clinical Trials","funders":"","keywords":"Reproducibility; Medicine; COPD; Effective diffusion coefficient; Ventilation (architecture); Nuclear medicine; Magnetic resonance imaging; Pulmonary disease; Radiology; Diffusion MRI; Internal medicine","score_opus":0.018787520346810953,"score_gpt":0.2794861454099243,"score_spread":0.2606986250631133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040022821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98802024,0.0002716988,0.010083318,0.000034649533,0.00009028336,0.0003401107,0.00002441303,0.000015524003,0.0011197636],"genre_scores_gemma":[0.9995253,0.000005584122,0.000077199256,0.000029421468,0.00015873769,0.000026848667,0.00010411599,0.000015217132,0.000057592362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869573,0.00017353863,0.00023710627,0.0003649265,0.00012976947,0.00039890828],"domain_scores_gemma":[0.99926394,0.00021024243,0.00009237986,0.0001511805,0.000041108146,0.00024116211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026351702,0.0001679453,0.0002452488,0.00012906923,0.00012003159,0.000013584779,0.00011815691,0.00006086183,0.00003286456],"category_scores_gemma":[0.000030556363,0.00015714996,0.000051488954,0.00022281182,0.00061055087,0.00010879584,0.0001095207,0.00030742268,0.000016019088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001815667,0.00011343726,0.855598,0.000020452097,0.000030784384,0.000026667049,0.00088211667,0.00014212419,0.0873232,0.031069633,0.000018968725,0.024593094],"study_design_scores_gemma":[0.0009974869,0.000027883343,0.8954633,0.000039553837,0.000017312224,0.0000029875143,0.00042553374,0.026706707,0.0053400863,0.070516646,0.0002290437,0.00023349312],"about_ca_topic_score_codex":0.0001186128,"about_ca_topic_score_gemma":0.000008847212,"teacher_disagreement_score":0.08198312,"about_ca_system_score_codex":0.0002843462,"about_ca_system_score_gemma":0.00028738356,"threshold_uncertainty_score":0.6408389},"labels":[],"label_agreement":null},{"id":"W2040830142","doi":"10.1097/rli.0b013e3181727519","title":"Longitudinal Follow-up of Cardiac Structure and Functional Changes in an Infarct Mouse Model Using Retrospectively Gated Micro-Computed Tomography","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Toronto Metropolitan University; Western University","funders":"","keywords":"Computed tomography; Medicine; Cardiology; Internal medicine; Radiology","score_opus":0.04923123083324753,"score_gpt":0.2643456775543268,"score_spread":0.21511444672107927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040830142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792063,0.0009711618,0.00029788457,0.00012896894,0.0001826012,0.0003090325,0.00013822327,0.000034588622,0.000016913687],"genre_scores_gemma":[0.9886262,0.000089173824,0.010843435,0.00014196751,0.00015878498,0.000004116612,0.00009387997,0.000026687234,0.000015748095],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986025,0.0001623928,0.00030972692,0.0004696645,0.00016689533,0.00028883092],"domain_scores_gemma":[0.99916536,0.000054780758,0.00014896397,0.00019678753,0.0002570008,0.00017711736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468737,0.00024055652,0.0007955133,0.00042148327,0.00010563091,0.000005570803,0.000049738934,0.00024877535,0.000006576624],"category_scores_gemma":[0.000064715714,0.00021083094,0.00013797199,0.00042540493,0.0010650777,0.00010350898,0.00004875825,0.00034752567,1.8254659e-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":[0.00018452771,0.000017494127,0.40922117,0.00002568822,0.00012420837,0.0000037903615,0.0008891323,0.0043755374,0.58500355,0.00008180707,0.00003796061,0.00003511253],"study_design_scores_gemma":[0.0015423639,0.00036849,0.8170104,0.00007931429,0.000097287615,0.00024037421,0.000099834564,0.03671645,0.14275758,0.0008681489,0.0000054657626,0.00021428299],"about_ca_topic_score_codex":0.00015768954,"about_ca_topic_score_gemma":0.00004618666,"teacher_disagreement_score":0.442246,"about_ca_system_score_codex":0.0001026395,"about_ca_system_score_gemma":0.00017529672,"threshold_uncertainty_score":0.85974365},"labels":[],"label_agreement":null},{"id":"W2042790639","doi":"10.1097/rli.0b013e31822438e8","title":"Low b-Value Diffusion-Weighted Cardiac Magnetic Resonance Imaging","year":2011,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","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":"Canadian Nautical Research Society","funders":"National Institutes of Health","keywords":"Diffusion-Weighted Magnetic Resonance Imaging; Magnetic resonance imaging; Nuclear magnetic resonance; Cardiac magnetic resonance; Diffusion; Diffusion MRI; Value (mathematics); Medicine; Physics; Radiology; Mathematics; Statistics","score_opus":0.026356113238280035,"score_gpt":0.2589502307135985,"score_spread":0.2325941174753185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042790639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9476563,0.020468643,0.00011022626,0.005438757,0.0011858018,0.000858057,0.000051412793,0.00024027833,0.023990532],"genre_scores_gemma":[0.96904844,0.0020964427,0.01870136,0.007985744,0.0007270207,0.00036593995,0.00004377216,0.00009352368,0.0009377458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979867,0.00032982317,0.00037068775,0.00059497997,0.00020077336,0.0005170402],"domain_scores_gemma":[0.99853295,0.00028073014,0.0001202268,0.0005640029,0.00014356415,0.0003585222],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002367042,0.00028306968,0.00061859563,0.00016436515,0.000098530996,0.0000065602903,0.00020547386,0.00015033779,0.00086951663],"category_scores_gemma":[0.00027019848,0.00024946348,0.00014251944,0.0003445803,0.0016928649,0.00008454011,0.0000935875,0.00038388732,0.00020700767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022192813,0.00020602012,0.86024934,0.00009409152,0.0000801093,0.00040563804,0.004882124,8.0399946e-7,0.03171808,0.011754951,0.064376526,0.02601041],"study_design_scores_gemma":[0.0020801285,0.00071128935,0.8467725,0.000391908,0.00019946741,0.000248232,0.00022990459,0.0005924578,0.07894932,0.01726955,0.05207101,0.00048426806],"about_ca_topic_score_codex":0.00032463003,"about_ca_topic_score_gemma":0.0000074266786,"teacher_disagreement_score":0.04723124,"about_ca_system_score_codex":0.00019674296,"about_ca_system_score_gemma":0.00023425787,"threshold_uncertainty_score":0.99999577},"labels":[],"label_agreement":null},{"id":"W2045621959","doi":"10.1097/rli.0b013e3180ca70e4","title":"Development of a Composite Material Phantom Mimicking the Magnetic Resonance Parameters of the Neonatal Brain at 3.0 Tesla","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Lawson Health Research Institute","funders":"","keywords":"Imaging phantom; Magnetic resonance imaging; Nuclear magnetic resonance; Composite number; Materials science; Biomedical engineering; Nuclear medicine; Medicine; Radiology; Physics; Composite material","score_opus":0.027493042035495224,"score_gpt":0.2946986027413025,"score_spread":0.26720556070580725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045621959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922239,0.00049996236,0.0047636395,0.0016827076,0.000052913776,0.0005050317,0.000021971318,0.000021486596,0.0002283473],"genre_scores_gemma":[0.82209563,0.000011950079,0.17669356,0.000973615,0.00002929912,0.00003902365,0.000012710766,0.000011399146,0.0001327904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911636,0.00006262423,0.00036523968,0.00016557751,0.000106762156,0.00018343523],"domain_scores_gemma":[0.99913913,0.00028562293,0.0002095402,0.00026213078,0.00005645335,0.000047139845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028760853,0.000106642176,0.00023282829,0.00003520258,0.00010309637,0.0000014337795,0.00018068652,0.00006694539,0.000015474146],"category_scores_gemma":[0.00010242326,0.000062607905,0.000049773236,0.00018108323,0.0014650018,0.000015534011,0.00010573712,0.000120758,0.0000013451344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012647151,0.000023416545,0.0053073415,0.000020415897,0.000015749867,0.0000034809862,0.0022783845,0.0000083701125,0.9728073,0.002549669,0.00049151306,0.016367916],"study_design_scores_gemma":[0.00037204265,0.00011046925,0.06777847,0.00010074317,0.000021250815,0.00013478703,0.00013808208,0.00006305607,0.91299534,0.001657572,0.016556926,0.00007127829],"about_ca_topic_score_codex":0.000016291757,"about_ca_topic_score_gemma":0.000021467322,"teacher_disagreement_score":0.17192993,"about_ca_system_score_codex":0.00007318255,"about_ca_system_score_gemma":0.00007480656,"threshold_uncertainty_score":0.53978604},"labels":[],"label_agreement":null},{"id":"W20458249","doi":"10.1097/rli.0b013e3181dfdabd","title":"The future of analytical solution methods for groundwater flow and transport simulation","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","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 Waterloo","funders":"","keywords":"Complement (music); Computer science; Groundwater; Groundwater flow; Groundwater model; Management science; Engineering; Aquifer","score_opus":0.022829302615601156,"score_gpt":0.3061192595672209,"score_spread":0.28328995695161974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20458249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74760157,0.00007994174,0.2497788,0.0018809073,0.00027800273,0.0002047036,0.0000036070178,0.00001049421,0.00016195308],"genre_scores_gemma":[0.9715192,0.000009645142,0.027867936,0.00011982842,0.000084039355,0.00003549205,0.0000075042385,0.000004738476,0.0003516389],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99935645,0.0001142584,0.0001695098,0.00016538691,0.000054503053,0.00013987755],"domain_scores_gemma":[0.99939317,0.00038974878,0.000056754205,0.00009455969,0.000023328257,0.000042442123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053117884,0.00008017001,0.00013606748,0.00001524832,0.00020023047,0.0000058379624,0.000077383476,0.00007798136,0.0000361923],"category_scores_gemma":[0.00006686357,0.000049932074,0.000037093636,0.00006254025,0.0013693509,0.00008732171,0.000026093101,0.00009758834,0.0000027245399],"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":[0.00011680892,0.000053527136,0.15761289,0.000021306776,0.00013578494,9.1853803e-7,0.005051298,0.0014926523,0.12145205,0.023136266,0.0007784109,0.69014806],"study_design_scores_gemma":[0.0006249972,0.00026687188,0.58751297,0.0000028972174,0.00007071402,0.000012204662,0.0002905507,0.22239357,0.0058963494,0.028580068,0.15415704,0.00019176239],"about_ca_topic_score_codex":0.000019073152,"about_ca_topic_score_gemma":0.00026522935,"teacher_disagreement_score":0.6899563,"about_ca_system_score_codex":0.000017053473,"about_ca_system_score_gemma":0.0000057307807,"threshold_uncertainty_score":0.50454307},"labels":[],"label_agreement":null},{"id":"W2046888102","doi":"10.1097/01.rli.0000254407.26068.54","title":"Cardiac Phase-Resolved Blood Oxygen-Sensitive Steady-State Free Precession MRI for Evaluating the Functional Significance of Coronary Artery Stenosis","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute","keywords":"Steady-state free precession imaging; Stenosis; Cardiology; Ejection fraction; Medicine; Internal medicine; Circumflex; Magnetic resonance imaging; Blood flow; Artery; Radiology; Heart failure","score_opus":0.06997178763859334,"score_gpt":0.36801334085098014,"score_spread":0.2980415532123868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046888102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7086439,0.00035666482,0.28657144,0.0015477225,0.000114196446,0.0020760885,0.0002795481,0.00007532399,0.00033509292],"genre_scores_gemma":[0.9169182,0.00009054503,0.08091143,0.00068785757,0.00024077726,0.00062365725,0.00019768503,0.000034198096,0.00029565132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983986,0.00017508106,0.00049529964,0.00040406067,0.00020347821,0.00032344888],"domain_scores_gemma":[0.99721116,0.0014358427,0.00035855005,0.00042622827,0.0004363978,0.00013179322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009216679,0.00019903277,0.0004503224,0.00007857761,0.00020084696,0.0000035614519,0.0001369259,0.00012083103,0.000014301688],"category_scores_gemma":[0.0004280048,0.00014416638,0.00014769474,0.00022297644,0.0010678864,0.000063613836,0.000054729826,0.00026041534,0.0000020745126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092169055,0.00020452429,0.0019161137,0.00004077351,0.00021639159,0.0000069022603,0.0008980002,0.00036788182,0.97954136,0.0033025895,0.0024871035,0.010096646],"study_design_scores_gemma":[0.005999253,0.005747945,0.089672156,0.00027190085,0.0006743545,0.00013321229,0.0017926629,0.0029958899,0.84710336,0.042882472,0.0023290676,0.000397718],"about_ca_topic_score_codex":0.000014593087,"about_ca_topic_score_gemma":0.0000063184025,"teacher_disagreement_score":0.20827426,"about_ca_system_score_codex":0.0000747316,"about_ca_system_score_gemma":0.00018037796,"threshold_uncertainty_score":0.5878934},"labels":[],"label_agreement":null},{"id":"W2049696735","doi":"10.1097/rli.0b013e31817e909f","title":"Diffusion Tensor Magnetic Resonance Imaging of the Human Calf","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Diffusion MRI; Fractional anisotropy; Magnetic resonance imaging; Nuclear magnetic resonance; Anisotropy; Physics; Nuclear medicine; Medicine; Optics; Radiology","score_opus":0.07464072198649016,"score_gpt":0.3268939290368986,"score_spread":0.25225320705040843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049696735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99134153,0.0010105687,0.0003518961,0.0053497963,0.00002977997,0.0003440047,0.00000878979,0.000079045654,0.0014845687],"genre_scores_gemma":[0.990878,0.000073953095,0.00652314,0.0017126899,0.00005194982,0.00004374081,0.000004168062,0.000015099764,0.0006972654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992835,0.00006844732,0.00019920063,0.00021448222,0.00008368487,0.00015070084],"domain_scores_gemma":[0.99932843,0.00006567801,0.00009567734,0.0003799814,0.00007042652,0.000059781414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046012978,0.00009778072,0.000205113,0.0000405854,0.00016939174,8.766193e-7,0.00013856089,0.00003498561,0.000019908015],"category_scores_gemma":[0.00015967875,0.00006613417,0.000058756457,0.00018556569,0.0020134524,0.00002195256,0.0000680527,0.00021041208,0.0000035010462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070915976,0.000044335073,0.5950779,0.000009855069,0.0000020927757,0.00002064045,0.00025038508,0.0000017246117,0.39110288,0.008467884,0.0038858848,0.001129338],"study_design_scores_gemma":[0.00038746215,0.00009863343,0.93112713,0.00005720557,0.000016045815,0.00066648313,0.000016669792,0.00017760666,0.04101695,0.013054802,0.01330592,0.00007508319],"about_ca_topic_score_codex":0.000031560863,"about_ca_topic_score_gemma":0.0000011394061,"teacher_disagreement_score":0.3500859,"about_ca_system_score_codex":0.000028533696,"about_ca_system_score_gemma":0.000044274744,"threshold_uncertainty_score":0.74186486},"labels":[],"label_agreement":null},{"id":"W2052025909","doi":"10.1097/rli.0b013e3181f9202d","title":"Assessment and Monitoring Tumor Vascularity With Contrast-Enhanced Ultrasound Maximum Intensity Persistence Imaging","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"National Cancer Institute","keywords":"Vascularity; Contrast-enhanced ultrasound; Ultrasound; Persistence (discontinuity); Contrast (vision); Intensity (physics); Medicine; Radiology; Optics; Physics; Geology","score_opus":0.01314903510672767,"score_gpt":0.22876609543842263,"score_spread":0.21561706033169498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052025909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989678,0.00012966573,0.008196881,0.00015292413,0.00023518022,0.00020696898,0.000010295691,0.00020250796,0.0011875721],"genre_scores_gemma":[0.9810773,0.000029025194,0.018534342,0.0001069627,0.0001375091,0.00007496976,0.000007664458,0.00002537597,0.000006846402],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991381,0.000033764103,0.00015435729,0.00029772584,0.00008568439,0.00029033393],"domain_scores_gemma":[0.9992447,0.00021266044,0.000041454165,0.00023801015,0.0000978054,0.00016540052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222985,0.00019996207,0.00027621444,0.00004941424,0.0001690513,0.000043128795,0.00013296632,0.00006208936,0.000014391552],"category_scores_gemma":[0.0000632412,0.00017451313,0.000035727397,0.00011412056,0.0009186992,0.00011399414,0.000017815566,0.0005517707,0.0000049465666],"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":[0.000003199414,0.000011283288,0.15755363,0.000015271924,0.00007302679,0.0000064302694,0.0005130491,0.00012253581,0.84019166,0.00092918397,0.000012445359,0.0005682786],"study_design_scores_gemma":[0.00061042904,0.00005265715,0.87211734,0.00003527043,0.00007289371,0.00072789704,0.00092506944,0.0015730945,0.11765662,0.0054001645,0.00041156888,0.00041696883],"about_ca_topic_score_codex":0.0000348366,"about_ca_topic_score_gemma":0.00005378832,"teacher_disagreement_score":0.7225351,"about_ca_system_score_codex":0.000054539192,"about_ca_system_score_gemma":0.00004593165,"threshold_uncertainty_score":0.7116439},"labels":[],"label_agreement":null},{"id":"W20562708","doi":"10.1097/rli.0b013e3181e6f42f","title":"W.L. Morton, Margaret Laurence, and the Writing of Manitoba,","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History; Art; Art history","score_opus":0.015136134346993695,"score_gpt":0.23566591031060008,"score_spread":0.22052977596360637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20562708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9408507,0.00043899938,0.0000058739165,0.0066572586,0.00040116636,0.00014580318,0.000013999494,0.000016975915,0.051469248],"genre_scores_gemma":[0.998335,0.00012107144,0.00024851938,0.00053202687,0.00024136154,0.000010766402,0.0000017420219,0.000003786577,0.00050569547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923974,0.00027253653,0.00013401109,0.000114425566,0.00008706764,0.00015220825],"domain_scores_gemma":[0.9993206,0.00032632533,0.000093191455,0.00009876182,0.000064034975,0.000097046046],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00072640553,0.00004621391,0.0001454844,0.00010659056,0.0005366927,0.000041116575,0.00017086594,0.00009226236,0.00015030327],"category_scores_gemma":[0.00080332585,0.00004243616,0.000029382276,0.00013311769,0.014936606,0.00007125962,0.000023295555,0.00023090276,0.000008924881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005951255,0.000003353929,0.012318579,0.0000055893843,0.00001472339,0.0000040163904,0.011915852,3.0021164e-7,0.0012076164,0.9638067,0.009524123,0.0011932305],"study_design_scores_gemma":[0.00081691315,0.00003857419,0.10846671,0.000019441908,0.000038383496,0.000027197624,0.0095758615,0.000023551444,0.00017733134,0.1966729,0.68394697,0.00019617139],"about_ca_topic_score_codex":0.23177348,"about_ca_topic_score_gemma":0.90107805,"teacher_disagreement_score":0.7671338,"about_ca_system_score_codex":0.000042042055,"about_ca_system_score_gemma":0.00032428492,"threshold_uncertainty_score":0.98774415},"labels":[],"label_agreement":null},{"id":"W2057100016","doi":"10.1097/rli.0b013e31827f1b68","title":"Free Breathing Real-Time Cardiac Cine Imaging With Improved Spatial Resolution at 3 T","year":2013,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Bayerische Forschungsstiftung; Bundesministerium für Bildung und Forschung; Deutsches Zentrum für Herz-Kreislaufforschung","keywords":"Voxel; Imaging phantom; Nuclear medicine; Image quality; Image resolution; Temporal resolution; Breathing; Cardiac imaging; Iterative reconstruction; Ventricle; Partial volume; Ejection fraction; Biomedical engineering; Computer science; Medicine; Artificial intelligence; Physics; Radiology; Image (mathematics); Cardiology","score_opus":0.009312027644218436,"score_gpt":0.2308191785664458,"score_spread":0.22150715092222736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057100016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97375196,0.0007620325,0.0006139428,0.010350569,0.00038141574,0.0008844731,0.00007330464,0.00030297646,0.012879296],"genre_scores_gemma":[0.9881619,0.00005796464,0.0081282575,0.0014065661,0.0008889308,0.0001332555,0.00022928319,0.00006519594,0.00092860014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998296,0.00023475669,0.00029832663,0.0004848896,0.00018063448,0.000505372],"domain_scores_gemma":[0.99822164,0.00041107237,0.0001518861,0.0005915454,0.0002811767,0.000342702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026404872,0.0002800186,0.00064755336,0.00013932548,0.00016159956,0.000023359402,0.00010860774,0.000115950745,0.00010444461],"category_scores_gemma":[0.0011832039,0.0002241699,0.00012613695,0.00017192095,0.00097795,0.00014129333,0.00013151464,0.00031173447,0.00018892645],"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":[0.00018911116,0.000044952252,0.36434913,0.000057237856,0.00029936558,0.00016594958,0.0011234035,0.000049013448,0.5610582,0.0003145217,0.0705209,0.0018281764],"study_design_scores_gemma":[0.0052262344,0.0008585153,0.9378297,0.0003307786,0.00061758386,0.0016824794,0.00029637074,0.011095814,0.036064547,0.0031596723,0.0021402757,0.00069807895],"about_ca_topic_score_codex":0.005315162,"about_ca_topic_score_gemma":0.000020195877,"teacher_disagreement_score":0.57348055,"about_ca_system_score_codex":0.0003215734,"about_ca_system_score_gemma":0.00018699474,"threshold_uncertainty_score":0.9141383},"labels":[],"label_agreement":null},{"id":"W2057327718","doi":"10.1097/01.rli.0000261935.41188.39","title":"Diffusion-Tensor Imaging at 3 T","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diffusion MRI; Fractional anisotropy; White matter; Medicine; Diffusion imaging; Confidence interval; Anisotropy; Nuclear medicine; Magnetic resonance imaging; Nuclear magnetic resonance; Physics; Radiology; Optics; Internal medicine","score_opus":0.0760410469570088,"score_gpt":0.3612716232919629,"score_spread":0.2852305763349541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057327718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95983416,0.0002320516,0.020670306,0.0095934225,0.0000728423,0.00036185255,0.000006594852,0.00036393772,0.008864837],"genre_scores_gemma":[0.95154816,0.000034794026,0.04013526,0.0068434128,0.00016347998,0.000028675397,0.000026528784,0.0000258818,0.0011938253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911195,0.000025968182,0.00020505511,0.00029633378,0.000076591605,0.00028411564],"domain_scores_gemma":[0.99921227,0.00016623485,0.00007845045,0.00028247997,0.00006703379,0.00019356121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505818,0.00012303733,0.000207961,0.000093250914,0.0001235931,0.0000025797024,0.00007861861,0.000048385322,0.000067204914],"category_scores_gemma":[0.00021042388,0.00010490354,0.000054288954,0.00016689443,0.000783394,0.00003346192,0.000074886084,0.00019849213,0.000065971995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005895535,0.00005532337,0.4906749,0.000013238627,0.00001558036,0.00019861895,0.00020085902,0.0000016874031,0.47497454,0.016776018,0.012056851,0.0049733943],"study_design_scores_gemma":[0.0009001294,0.00015230378,0.7117446,0.000048352947,0.000045451397,0.002580641,0.000071045004,0.00039500746,0.101564,0.035604406,0.14663593,0.0002580999],"about_ca_topic_score_codex":0.000008370484,"about_ca_topic_score_gemma":0.000002510567,"teacher_disagreement_score":0.37341055,"about_ca_system_score_codex":0.00011337741,"about_ca_system_score_gemma":0.000026498083,"threshold_uncertainty_score":0.42778423},"labels":[],"label_agreement":null},{"id":"W2062436949","doi":"10.1097/01.rli.0000197981.66537.48","title":"Time-Course Characterization of the Computed Tomography Contrast Enhancement of an Iodinated Blood-Pool Contrast Agent in Mice Using a Volumetric Flat-Panel Equipped Computed Tomography Scanner","year":2006,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Iodinated contrast; Contrast (vision); Medicine; Computed tomography; Nuclear medicine; Tomography; Hounsfield scale; Spleen; Radiology; Internal medicine","score_opus":0.03788841592009333,"score_gpt":0.23900517374168895,"score_spread":0.2011167578215956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062436949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966172,0.0005828218,0.0005475724,0.00021087195,0.00016186126,0.0016591484,0.00012974822,0.000044208242,0.00004655003],"genre_scores_gemma":[0.9976017,0.0000072333037,0.0012932239,0.0001811889,0.00009094665,0.00004537228,0.00072450354,0.00003111876,0.000024718478],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99713814,0.0007431626,0.000909563,0.00047502166,0.00028031273,0.00045381745],"domain_scores_gemma":[0.9983266,0.00015305866,0.00065561483,0.00032291512,0.0003787302,0.00016309673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003707863,0.00035821417,0.0009685729,0.00074365234,0.00008882503,0.00001168428,0.00021172171,0.00024261564,0.000046319048],"category_scores_gemma":[0.000051344614,0.00028760955,0.00025072414,0.0023888934,0.0012669134,0.000110750196,0.00005380778,0.00023567866,0.0000025042311],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012906392,0.0006004977,0.39544436,0.000059089016,0.00034472017,0.000032387325,0.0002835602,0.000037537593,0.60275733,0.000048846177,0.000017241704,0.0002453608],"study_design_scores_gemma":[0.0033472946,0.00069061125,0.5103671,0.0002195025,0.00048767796,0.000046326786,0.00002687764,0.048868526,0.43570086,0.000061791594,0.000009311793,0.00017409331],"about_ca_topic_score_codex":0.00061553443,"about_ca_topic_score_gemma":0.00004013,"teacher_disagreement_score":0.16705644,"about_ca_system_score_codex":0.00008097847,"about_ca_system_score_gemma":0.00019980692,"threshold_uncertainty_score":0.9999576},"labels":[],"label_agreement":null},{"id":"W2071262432","doi":"10.1097/rli.0000000000000003","title":"Quantifying Vascular Heterogeneity Using Microbubble Disruption-Replenishment Kinetics in Patients With Renal Cell Cancer","year":2013,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; Health Sciences Centre; Toronto General Hospital; Toronto Metropolitan University; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Log-normal distribution; Medicine; Mathematics; Ultrasound; Statistics; Microcirculation; Contrast-enhanced ultrasound; Nuclear medicine; Biomedical engineering; Internal medicine; Radiology","score_opus":0.05511494863389153,"score_gpt":0.3050175656190406,"score_spread":0.24990261698514904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071262432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706423,0.0006628394,0.00016903986,0.00085160404,0.00016046863,0.0009827397,0.000022756554,0.000029160416,0.000057157617],"genre_scores_gemma":[0.98649496,0.00015215506,0.011893194,0.0010209013,0.0000988977,0.0002352638,0.000053026837,0.000039057293,0.000012554436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827963,0.00018960387,0.00037880076,0.0004986818,0.00021471396,0.00043855247],"domain_scores_gemma":[0.99895537,0.00008987413,0.00018780908,0.00034483874,0.00020789771,0.00021424114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012163822,0.00025103326,0.00048199645,0.00014924412,0.000058193164,0.000016321772,0.00011270981,0.0001424495,0.00023041887],"category_scores_gemma":[0.00004118304,0.00020592412,0.000068684676,0.0002757028,0.0005300543,0.00011802428,0.00005739483,0.00027183836,0.00002298679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039857438,0.0001966794,0.9214575,0.00008257231,0.000103279264,0.000007665247,0.00034422654,0.0018250879,0.0749106,0.000012555585,0.00081446936,0.00020548668],"study_design_scores_gemma":[0.002902852,0.0006011211,0.9071659,0.00030589764,0.00011952994,0.000008771225,0.00004611437,0.00062666595,0.087233774,0.000077282064,0.0006465198,0.00026557365],"about_ca_topic_score_codex":0.0018891868,"about_ca_topic_score_gemma":0.00039892024,"teacher_disagreement_score":0.014291621,"about_ca_system_score_codex":0.00057737186,"about_ca_system_score_gemma":0.00016063622,"threshold_uncertainty_score":0.8397342},"labels":[],"label_agreement":null},{"id":"W2075071898","doi":"10.1097/rli.0b013e3181872f28","title":"Special Issue “Highfield MRI: The New Clinical Standard?”","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","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":"Smiths Detection (Canada)","funders":"","keywords":"Medicine; Medical physics; Volume (thermodynamics); Radiology; Physics","score_opus":0.07700476198027713,"score_gpt":0.38831598530535794,"score_spread":0.3113112233250808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075071898","genre_codex":"commentary","genre_gemma":"methods","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":[0.14194755,0.0011291881,0.22520429,0.40989023,0.0023753787,0.00345298,0.00007193407,0.00085586606,0.21507259],"genre_scores_gemma":[0.19724539,0.006603111,0.5269022,0.07860176,0.13216685,0.00037878702,0.00014161598,0.00015469757,0.057805575],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894714,0.00010085855,0.00034405888,0.00027963868,0.0001113015,0.00021700576],"domain_scores_gemma":[0.9988882,0.00031657724,0.00010755114,0.00037943036,0.000075424265,0.00023281385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018036412,0.00013021565,0.00035821032,0.00003156032,0.0001786391,0.000002997236,0.00015270282,0.00017146346,0.0006195246],"category_scores_gemma":[0.00038010345,0.00008407897,0.00010783024,0.00016543487,0.0017513358,0.000035694455,0.000046142533,0.0004918695,0.00012536664],"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":[0.000070810696,0.000026100362,0.005009954,0.000001991129,0.000021587519,0.000039578623,0.00036275198,0.000009310332,0.0003807741,0.024236588,0.96437323,0.0054673012],"study_design_scores_gemma":[0.0005779339,0.00054028566,0.011595741,0.000012343324,0.000028242697,0.00043501114,0.000059787577,0.000020897085,0.0036173537,0.028482355,0.95453525,0.00009481874],"about_ca_topic_score_codex":0.000019909705,"about_ca_topic_score_gemma":0.000009759091,"teacher_disagreement_score":0.33128846,"about_ca_system_score_codex":0.000039528095,"about_ca_system_score_gemma":0.00032017322,"threshold_uncertainty_score":0.678336},"labels":[],"label_agreement":null},{"id":"W2080884666","doi":"10.1097/rli.0b013e3181812c4c","title":"Four Dimensional Intravenous Cone-Beam Computed Tomographic Subtraction Angiography","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Intracranial Aneurysms: Treatment and Complications","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":"Western University","funders":"","keywords":"Hounsfield scale; Subtraction; Nuclear medicine; Medicine; Imaging phantom; Digital subtraction angiography; Voxel; Angiography; Biomedical engineering; Radiology; Materials science; Computed tomography; Mathematics","score_opus":0.0374796814507076,"score_gpt":0.24862986959470196,"score_spread":0.21115018814399436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080884666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99336797,0.0005523726,0.000310914,0.0037040801,0.00037440218,0.0004517627,0.000014734072,0.00019220992,0.0010315678],"genre_scores_gemma":[0.9952592,0.00005079797,0.0021909098,0.0016974352,0.00029515487,0.00006689798,0.00021749608,0.000020909903,0.00020115142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873376,0.00011769763,0.0002935552,0.0003776741,0.00015768834,0.00031959807],"domain_scores_gemma":[0.99897367,0.00020393709,0.0001233602,0.00024880064,0.00021252848,0.00023770827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007221033,0.00022406824,0.000398148,0.00032721707,0.0003154566,0.000005487956,0.000087872795,0.00016422465,0.00008903681],"category_scores_gemma":[0.0000549103,0.00019333005,0.00026691568,0.0005916834,0.0012945539,0.00007379579,0.00001985572,0.00029944902,0.00009398448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087415474,0.0020878012,0.7078299,0.00005676117,0.0025577683,0.002874784,0.0021162669,0.00031174903,0.21319424,0.024407888,0.04133656,0.0023521243],"study_design_scores_gemma":[0.0014617903,0.0011886546,0.9732409,0.00002980798,0.00019128105,0.01079903,0.000025931753,0.0005423759,0.005641228,0.005571747,0.0010743205,0.00023293128],"about_ca_topic_score_codex":0.00008964501,"about_ca_topic_score_gemma":0.000010876114,"teacher_disagreement_score":0.265411,"about_ca_system_score_codex":0.000048688667,"about_ca_system_score_gemma":0.00013064385,"threshold_uncertainty_score":0.78837705},"labels":[],"label_agreement":null},{"id":"W2081085645","doi":"10.1097/00004424-200103000-00004","title":"Comparison of Metabolite Levels and Water Diffusion Between Cortical and Subcortical Strokes as Monitored by MRI and MRS","year":2001,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Saint-Luc","funders":"","keywords":"Creatine; Magnetic resonance imaging; Phosphocreatine; Penumbra; Diffusion MRI; Medicine; Nuclear medicine; Magnetic resonance spectroscopic imaging; Effective diffusion coefficient; Lesion; Nuclear magnetic resonance; Stroke (engine); Radiology; Pathology; Cardiology; Internal medicine; Ischemia; Physics","score_opus":0.05340718862332717,"score_gpt":0.3732500241113645,"score_spread":0.3198428354880373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081085645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877946,0.0010892159,0.008493175,0.0021597112,0.000009967424,0.0002887204,0.000033710963,0.000034971832,0.000095944364],"genre_scores_gemma":[0.9874663,0.00040454572,0.011784612,0.00015010474,0.000051119016,0.000026610345,0.000044180844,0.000011714644,0.000060861643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990718,0.00007629965,0.00029808172,0.00026979283,0.000077757206,0.0002063155],"domain_scores_gemma":[0.9993269,0.00019024656,0.000060910515,0.00012381106,0.00004860876,0.00024953802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000900299,0.00013623717,0.00052103685,0.00004865994,0.00007615219,0.00000513812,0.000034886427,0.00013495442,0.00000904086],"category_scores_gemma":[0.00008986843,0.000094737065,0.000020391068,0.00005575396,0.0017332287,0.000045985587,0.00006503242,0.00021393361,0.0000010714366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038184047,0.000036434954,0.63907236,0.000012877722,0.000023207267,0.000003240936,0.00032658942,4.322834e-7,0.3550287,0.0035671508,0.00010986443,0.001780964],"study_design_scores_gemma":[0.00083508046,0.00060302333,0.74387187,0.000026756345,0.0001622002,0.00011576462,0.0002537953,0.00036444815,0.23829034,0.012822769,0.0025203496,0.00013357577],"about_ca_topic_score_codex":0.000030051018,"about_ca_topic_score_gemma":7.128192e-7,"teacher_disagreement_score":0.11673836,"about_ca_system_score_codex":0.000011854942,"about_ca_system_score_gemma":0.000013529117,"threshold_uncertainty_score":0.6386153},"labels":[],"label_agreement":null},{"id":"W2082146005","doi":"10.1097/rli.0b013e3181514413","title":"A Comparison of the Efficacy and Safety of Iopamidol-370 and Iodixanol-320 in Patients Undergoing Multidetector-Row Computed Tomography","year":2007,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Iopamidol; Iodixanol; Medicine; Supine position; Hounsfield scale; Nuclear medicine; Contrast medium; Radiology; Anesthesia; Computed tomography","score_opus":0.020174638962670594,"score_gpt":0.28789039189769555,"score_spread":0.267715752935025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082146005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976186,0.0012075579,0.00017047858,0.0002207182,0.00018672539,0.00040666622,0.00001499675,0.000014665324,0.00015956958],"genre_scores_gemma":[0.99840295,0.000021264745,0.0013332438,0.00018869694,0.00002932359,0.0000020186405,0.000010188116,0.000010034357,0.0000022669674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881285,0.0001855152,0.00046260856,0.00021587577,0.00012295869,0.00020020823],"domain_scores_gemma":[0.9973589,0.002018431,0.000223353,0.0001845388,0.00010893686,0.0001058231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033705385,0.00013848301,0.00058073684,0.00019030772,0.000042915926,0.0000027291987,0.000058110523,0.00009957979,0.0000011334371],"category_scores_gemma":[0.0016531507,0.000105841296,0.00006012175,0.00033910008,0.0015528413,0.00002353202,0.00007466847,0.00023816059,2.6022866e-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":[0.0002668835,0.00011931835,0.9928989,0.000112126894,0.00006848459,0.0000025432266,0.0015788233,0.000054679458,0.0034668748,0.00015722189,0.00009631124,0.001177867],"study_design_scores_gemma":[0.005308809,0.00047987062,0.9794829,0.00034738556,0.00006487209,0.000012116125,0.00020427666,0.00023831756,0.013522908,0.00020525449,0.00004534575,0.000087954504],"about_ca_topic_score_codex":0.00009092347,"about_ca_topic_score_gemma":0.00007034624,"teacher_disagreement_score":0.013415976,"about_ca_system_score_codex":0.0000331889,"about_ca_system_score_gemma":0.00006071635,"threshold_uncertainty_score":0.5721508},"labels":[],"label_agreement":null},{"id":"W2088837451","doi":"10.1097/rli.0b013e3181bfe2d2","title":"Pharmacokinetics and Safety of Gadobutrol-Enhanced Magnetic Resonance Imaging in Pediatric Patients","year":2009,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Gadobutrol; Medicine; Pharmacokinetics; Percentile; Magnetic resonance imaging; Nuclear medicine; Population; Urine; Body surface area; Body weight; Urology; Radiology; Internal medicine","score_opus":0.012561156975346365,"score_gpt":0.24186288687427518,"score_spread":0.2293017298989288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088837451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996349,0.0024069948,0.00018348094,0.00026210255,0.00010001769,0.00016137921,0.000034329256,0.000018836172,0.00048387286],"genre_scores_gemma":[0.9972384,0.00028697995,0.0019095149,0.00049445906,0.000044343567,0.000005212495,0.000007771754,0.0000052204728,0.000008112229],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998887,0.0002175454,0.00032586657,0.00025355667,0.00009828102,0.00021773345],"domain_scores_gemma":[0.99956197,0.0001050235,0.00010034139,0.00009980334,0.000066767716,0.00006609873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018738706,0.00011825506,0.00025266028,0.00010117148,0.00003661515,0.0000071390705,0.000116682735,0.00003434373,0.00007006677],"category_scores_gemma":[0.00008626189,0.000105455474,0.000020937172,0.00018561381,0.0003741351,0.000112810245,0.000020467061,0.00008773735,0.000008546067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012671445,0.00006575398,0.08827625,0.000022759523,8.497317e-7,0.000008559242,0.0006540088,0.000041723557,0.9043937,0.0016345723,0.00009229156,0.004682821],"study_design_scores_gemma":[0.0013220811,0.00024520184,0.81078357,0.000017501343,0.0000138357855,0.000004833341,0.000014153189,0.00010211852,0.17628787,0.011021911,0.00006585771,0.0001210893],"about_ca_topic_score_codex":0.000011756343,"about_ca_topic_score_gemma":0.0000048798893,"teacher_disagreement_score":0.72810584,"about_ca_system_score_codex":0.000015617703,"about_ca_system_score_gemma":0.000025978972,"threshold_uncertainty_score":0.43003494},"labels":[],"label_agreement":null},{"id":"W2089464900","doi":"10.1097/rli.0b013e3181e1939d","title":"Intravascular Functional Maps of Common Neurovascular Lesions Derived From Volumetric 4D CT Data","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Toronto Western Hospital","funders":"","keywords":"Voxel; Segmentation; Angiography; Bolus (digestion); Scanner; Blood flow; Biomedical engineering; Medicine; Nuclear medicine; Radiology; Computer science; Artificial intelligence; Anatomy","score_opus":0.04216696096307691,"score_gpt":0.2626970000194553,"score_spread":0.22053003905637836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089464900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961263,0.0008306918,0.0007888352,0.0005497839,0.0005174816,0.00040117936,0.000500509,0.00007305191,0.00021215904],"genre_scores_gemma":[0.9920722,0.00009798687,0.0023316976,0.0008807294,0.00041043328,0.000025008081,0.0041198735,0.00003489599,0.00002714103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791074,0.00035176487,0.0004405014,0.0006553231,0.0003423956,0.0002992761],"domain_scores_gemma":[0.9973473,0.0003347507,0.00015273952,0.0016353282,0.00015311748,0.00037677612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003113209,0.00025551632,0.0007130818,0.00024284392,0.0001326284,0.000015359858,0.00041325076,0.00012256496,0.00070897164],"category_scores_gemma":[0.0011890726,0.0002265322,0.000310304,0.00041856855,0.0017461354,0.00014471338,0.00024471796,0.0005860178,0.000054078107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008155073,0.00066051556,0.68337715,0.00008865254,0.0019837637,0.00011691398,0.00023376028,0.0000707642,0.28624636,0.0019922943,0.016951649,0.008196647],"study_design_scores_gemma":[0.0021329927,0.0002149065,0.9644392,0.000038332237,0.0007593616,0.00045640898,0.00012653158,0.00085352344,0.02012208,0.0022875601,0.008323051,0.000246059],"about_ca_topic_score_codex":0.00061001437,"about_ca_topic_score_gemma":0.00014716724,"teacher_disagreement_score":0.28106207,"about_ca_system_score_codex":0.000023723973,"about_ca_system_score_gemma":0.0003533666,"threshold_uncertainty_score":0.92377144},"labels":[],"label_agreement":null},{"id":"W2091692387","doi":"10.1097/rli.0b013e3181690148","title":"Computed Tomography Perfusion Using First Pass Methods for Lung Nodule Characterization","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Nuclear medicine; Perfusion; Perfusion scanning; Medicine; Blood volume; Limits of agreement; Nodule (geology); Radiology; Internal medicine","score_opus":0.0792084826338112,"score_gpt":0.36399119316715783,"score_spread":0.28478271053334664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091692387","genre_codex":"empirical","genre_gemma":"methods","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":[0.7699474,0.00039929012,0.22345942,0.0044344016,0.0005847076,0.0009489415,0.00003782145,0.000106225394,0.00008175573],"genre_scores_gemma":[0.46317258,0.00030488375,0.53115135,0.0036413553,0.0008337427,0.0002672318,0.0004987305,0.00006791772,0.00006218417],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984986,0.0002890137,0.0003485936,0.0004398368,0.00009788779,0.00032603584],"domain_scores_gemma":[0.99851894,0.00057214184,0.00020511803,0.00026507417,0.00024272094,0.00019597328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030087942,0.00021410892,0.0005335826,0.0002497447,0.0002893982,0.0000063732136,0.00010793098,0.00020792914,0.0000726024],"category_scores_gemma":[0.0002796876,0.00020092474,0.0001426731,0.00046082045,0.00074748584,0.00010064451,0.000045380162,0.00018503125,0.0000027928295],"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":[0.00017055272,0.00012914662,0.37737384,0.00024873923,0.00022867769,0.000029204506,0.0025689893,0.00022053347,0.6087856,0.0006151964,0.006440418,0.0031891086],"study_design_scores_gemma":[0.0031780265,0.0008353937,0.6054459,0.0003707407,0.00030584648,0.00082912453,0.000054312142,0.19435078,0.16760753,0.00068656006,0.025818052,0.0005176952],"about_ca_topic_score_codex":0.000048881462,"about_ca_topic_score_gemma":0.000005054989,"teacher_disagreement_score":0.44117805,"about_ca_system_score_codex":0.00018837911,"about_ca_system_score_gemma":0.00015774884,"threshold_uncertainty_score":0.8193473},"labels":[],"label_agreement":null},{"id":"W2092039972","doi":"10.1097/rli.0b013e318172f5b5","title":"Contrast-Enhanced Microcomputed Tomography Using Intraperitoneal Contrast Injection for the Assessment of Tumor-Burden in Liver Metastasis Models","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Iohexol; Medicine; In vivo; Metastasis; Liver tumor; Radiology; Ex vivo; Contrast (vision); Nuclear medicine; Pathology; Internal medicine; Cancer; Computer science; Hepatocellular carcinoma; Renal function; Biology","score_opus":0.11213772505433792,"score_gpt":0.2965352788033708,"score_spread":0.1843975537490329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092039972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95167416,0.0014433706,0.044533167,0.00032235068,0.00010640537,0.0017519237,0.0000451324,0.000028874729,0.00009458369],"genre_scores_gemma":[0.9733358,0.00007894156,0.025876347,0.00024755308,0.00013482409,0.0002481081,0.000048808553,0.000022531423,0.000007110873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842006,0.00030011413,0.00047288282,0.00034035687,0.00013488838,0.00033172785],"domain_scores_gemma":[0.998751,0.00052956364,0.00021024271,0.00018630605,0.0002128251,0.00011010604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003024913,0.00023562757,0.0006952623,0.0002518067,0.00013743031,0.0000065084964,0.00010475728,0.000120545614,0.000015859758],"category_scores_gemma":[0.000056155586,0.00017343368,0.00022128805,0.00040996325,0.0009675938,0.00009752057,0.000024166628,0.00022682651,5.2508e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007332703,0.000475781,0.41703904,0.00020351833,0.0021882872,0.00032238933,0.0061361874,0.005059074,0.55849165,0.0031184435,0.00020222549,0.0060301223],"study_design_scores_gemma":[0.0069413423,0.0023548407,0.13407873,0.00015432466,0.00071501796,0.0011226977,0.00062841794,0.68415374,0.16827294,0.0011408038,0.00009954406,0.0003375803],"about_ca_topic_score_codex":0.0005397583,"about_ca_topic_score_gemma":0.00004379008,"teacher_disagreement_score":0.6790947,"about_ca_system_score_codex":0.0001313702,"about_ca_system_score_gemma":0.00028353016,"threshold_uncertainty_score":0.707242},"labels":[],"label_agreement":null},{"id":"W2125401397","doi":"10.1097/rli.0b013e31827b9f86","title":"Augmented Reality Visualization Using Image Overlay Technology for MR-Guided Interventions","year":2013,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Biopsy; Magnetic resonance imaging; Radiology; Drill; Medicine; Overlay; Visualization; Interventional magnetic resonance imaging; Percutaneous; Computer science; Artificial intelligence; Materials science","score_opus":0.10726647405419247,"score_gpt":0.3794112921036741,"score_spread":0.2721448180494816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125401397","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":[0.043370735,0.00007851944,0.94391006,0.010317633,0.00018176722,0.0013799022,0.000033955374,0.00041435874,0.00031307244],"genre_scores_gemma":[0.6782641,0.000022632847,0.31794718,0.0012756815,0.00012448258,0.0018577122,0.00020245467,0.00004221692,0.0002635995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99792594,0.00029433612,0.00061829254,0.0006224736,0.000119367614,0.00041960162],"domain_scores_gemma":[0.9980351,0.00020752502,0.0004038137,0.00072802417,0.00048218557,0.00014335642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039394954,0.00021232947,0.00033135002,0.00035447336,0.0003076939,0.0000774947,0.00081780413,0.00022351448,0.00004388843],"category_scores_gemma":[0.0005996984,0.0002122657,0.00014551383,0.0009657233,0.000990679,0.0006007394,0.00028912077,0.00016874349,0.00006791532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022164102,0.00013053049,0.0005260815,0.00007420396,0.00011858192,0.0000013245733,0.00035591953,0.0003909826,0.19879574,0.7814033,0.016978566,0.0012225735],"study_design_scores_gemma":[0.0009828642,0.0002455458,0.0036156885,0.00011920583,0.000054351105,0.000118556374,0.00016031174,0.41751292,0.062213704,0.5116947,0.0028334856,0.00044866142],"about_ca_topic_score_codex":0.00023247431,"about_ca_topic_score_gemma":0.00002520899,"teacher_disagreement_score":0.6348933,"about_ca_system_score_codex":0.0002571989,"about_ca_system_score_gemma":0.00014073939,"threshold_uncertainty_score":0.8655944},"labels":[],"label_agreement":null},{"id":"W2235070546","doi":"10.1097/rli.0000000000000170","title":"Magnetic Resonance Imaging and Computed Tomography of the Brain—50 Years of Innovation, With a Focus on the Future","year":2015,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Magnetic resonance imaging; Medical physics; Medical imaging; Focus (optics); Medicine; Workflow; Neuroimaging; Computer science; Preclinical imaging; Radiology; Physics","score_opus":0.033032370405397325,"score_gpt":0.3156103933392535,"score_spread":0.2825780229338562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235070546","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":[0.00032320386,0.99328256,0.00042024063,0.004327106,0.000025722622,0.0012697179,0.00006231907,0.00002263511,0.000266499],"genre_scores_gemma":[0.0013285911,0.97348255,0.02230686,0.001934558,0.00027046225,0.0004429639,0.00006855262,0.00006876928,0.000096719465],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989684,0.00017534525,0.00039334033,0.00023315562,0.00011520677,0.000114532624],"domain_scores_gemma":[0.99843335,0.00031077774,0.0005128131,0.00043974188,0.00026742517,0.000035912497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023093756,0.00017876971,0.00076479954,0.00014425129,0.000037667887,0.0000021931617,0.0001846049,0.00011039413,0.000002881979],"category_scores_gemma":[0.00013417832,0.00008953457,0.00006415009,0.0012820732,0.0018432576,0.000013532541,0.00005447928,0.00037923502,3.5764091e-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":[0.000016311338,0.000028745128,0.0003387357,0.0006087371,0.000033247627,0.000003026473,0.00019428856,9.314175e-7,0.00004740418,0.12900327,0.008101585,0.8616237],"study_design_scores_gemma":[0.0002348221,0.00030086344,0.0024552112,0.0037531136,0.00015285934,0.00016630611,0.000047462807,0.000007418848,0.000052017236,0.018436061,0.97429013,0.00010374913],"about_ca_topic_score_codex":0.0000073048986,"about_ca_topic_score_gemma":0.000002376729,"teacher_disagreement_score":0.96618855,"about_ca_system_score_codex":0.000026653735,"about_ca_system_score_gemma":0.00025869973,"threshold_uncertainty_score":0.67915595},"labels":[],"label_agreement":null},{"id":"W2316379252","doi":"10.1097/rli.0000000000000250","title":"Right Ventricular Imaging in 25 Seconds","year":2016,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Stroke volume; Medicine; Ejection fraction; Nuclear medicine; Cardiology; Cardiac magnetic resonance imaging; Internal medicine; Radiology; Heart failure","score_opus":0.022924884090315893,"score_gpt":0.28474241957629454,"score_spread":0.26181753548597864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316379252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98305434,0.001287043,0.000031281274,0.012129406,0.000075412776,0.00023129446,0.000011426124,0.000032085143,0.0031477078],"genre_scores_gemma":[0.9971798,0.00007183171,0.0003441882,0.001358439,0.00006306268,0.00003840064,0.000016137057,0.000011181437,0.00091695227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890673,0.00016342942,0.00017362791,0.00028283717,0.00011360937,0.00035975888],"domain_scores_gemma":[0.9992914,0.00016064961,0.000037450554,0.00019308686,0.000058180543,0.0002592208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013889716,0.000120867066,0.00027676174,0.0002075223,0.000035029978,0.0000027401893,0.000070215436,0.000060710998,0.00046121722],"category_scores_gemma":[0.00034892905,0.00006711049,0.000055040804,0.0001785014,0.0005391724,0.00007940156,0.00003621629,0.00012100605,0.0002395223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005605114,0.00013343955,0.9121015,0.000008605263,0.000060948943,0.021613287,0.00001792052,2.0867425e-7,0.05877919,0.0017886686,0.0032603894,0.0021797966],"study_design_scores_gemma":[0.004447799,0.00028600203,0.94513327,0.00017376106,0.000023399685,0.0029179687,0.000025771242,0.00007346797,0.016172437,0.022321776,0.008287582,0.00013676146],"about_ca_topic_score_codex":0.00003036229,"about_ca_topic_score_gemma":0.000005633995,"teacher_disagreement_score":0.042606756,"about_ca_system_score_codex":0.0001330502,"about_ca_system_score_gemma":0.00012455863,"threshold_uncertainty_score":0.50500053},"labels":[],"label_agreement":null},{"id":"W2321506715","doi":"10.1097/00004424-200001000-00007","title":"Pulse Inversion Imaging of Liver Blood Flow","year":2000,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":355,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Second-harmonic imaging microscopy; Microbubbles; Scanner; Computer science; Ultrasound; Optics; Biomedical engineering; Physics; Medicine; Acoustics; Second-harmonic generation; Laser","score_opus":0.00989049419242387,"score_gpt":0.19321649866198676,"score_spread":0.18332600446956288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321506715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874579,0.00085503445,0.00025792277,0.00013728537,0.000041012405,0.00009318867,0.000020325302,0.0001272175,0.011010157],"genre_scores_gemma":[0.99553645,0.00027269087,0.0037603332,0.00018559884,0.00006718269,0.000017446251,0.000019940908,0.00001681226,0.00012356322],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994897,0.000036393518,0.00014696423,0.00012632196,0.00004434596,0.00015623748],"domain_scores_gemma":[0.9996582,0.00007910023,0.000018245955,0.00015169872,0.00002188855,0.00007081088],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000046040004,0.000101475234,0.0001557321,0.00005060329,0.00004065908,0.000003886743,0.00011584437,0.000055630597,0.0009430794],"category_scores_gemma":[0.000017413246,0.000098417644,0.000039895283,0.0001336509,0.00036636976,0.00007098671,0.000006895328,0.00011437649,0.00013772788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011845313,0.00008476171,0.016932042,0.000087950735,0.00023198093,0.000025626137,0.0040664105,0.018690685,0.889299,0.004303996,0.0071555246,0.05911023],"study_design_scores_gemma":[0.0030325255,0.00024161111,0.10766007,0.00016843443,0.0003947513,0.00064006017,0.00034946887,0.32203245,0.45305654,0.031961136,0.07898075,0.001482191],"about_ca_topic_score_codex":0.00003552354,"about_ca_topic_score_gemma":0.000007754917,"teacher_disagreement_score":0.4362424,"about_ca_system_score_codex":0.0000160182,"about_ca_system_score_gemma":0.000014564002,"threshold_uncertainty_score":0.9999702},"labels":[],"label_agreement":null},{"id":"W2321878150","doi":"10.1097/00004424-200001000-00008","title":"Infusion Versus Bolus of an Ultrasound Contrast Agent","year":2000,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Bolus (digestion); Medicine; Washout; Ultrasound; Intravenous bolus; Power doppler; Doppler effect; Nuclear medicine; Femoral artery; Anesthesia; Surgery; Radiology; Internal medicine","score_opus":0.018616004112341367,"score_gpt":0.23450873046109236,"score_spread":0.21589272634875098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321878150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98787296,0.00026267665,0.00013412362,0.000054397566,0.00013533987,0.00014054734,0.000042255517,0.00014293702,0.011214736],"genre_scores_gemma":[0.9981635,0.0001735284,0.0012633051,0.00010363532,0.00010476732,0.000034055447,0.00006146806,0.000020654204,0.00007507224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993213,0.000059050224,0.00020726374,0.0001547119,0.00006223835,0.0001954525],"domain_scores_gemma":[0.99938464,0.00022533875,0.000027518945,0.000213308,0.000026806249,0.00012238292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006531115,0.00012994398,0.00021158828,0.00004358033,0.000055330533,0.000006790208,0.00014759117,0.00010545594,0.0006879805],"category_scores_gemma":[0.000041434945,0.00012494375,0.000039527844,0.0001331473,0.00043588784,0.000083148596,0.0000043487057,0.00013008626,0.0000878748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008159681,0.00008424538,0.0015163324,0.000025965097,0.00018231774,0.0000057583775,0.0026304163,0.012816964,0.9485662,0.0073007285,0.0017326594,0.025056804],"study_design_scores_gemma":[0.010972278,0.002224893,0.32977763,0.0001131153,0.00034518927,0.0005108044,0.0011750277,0.018936185,0.34723103,0.03670787,0.24965692,0.0023490565],"about_ca_topic_score_codex":0.000050985207,"about_ca_topic_score_gemma":0.000051515734,"teacher_disagreement_score":0.60133517,"about_ca_system_score_codex":0.00003816726,"about_ca_system_score_gemma":0.000024081699,"threshold_uncertainty_score":0.7532904},"labels":[],"label_agreement":null},{"id":"W2322779325","doi":"10.1097/01.rli.0000073442.88269.c9","title":"Magnetic Resonance Imaging at 3.0 Tesla: Challenges and Advantages in Clinical Neurological Imaging","year":2003,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Calgary Laboratory Services; Foothills Medical Centre; University of Calgary","funders":"Canadian Institutes of Health Research; American Society of Neuroradiology","keywords":"Magnetic resonance imaging; Clinical imaging; Electromagnetic coil; Computer science; Medical physics; Compatibility (geochemistry); Medicine; Radiology; Materials science; Electrical engineering; Engineering","score_opus":0.04998637916109958,"score_gpt":0.35149066549662905,"score_spread":0.30150428633552945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322779325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82787955,0.14134149,0.0007347166,0.019773997,0.000081884566,0.0007354607,0.0000072177404,0.00019009114,0.009255569],"genre_scores_gemma":[0.93697196,0.014691313,0.0431875,0.004660318,0.000078921155,0.00014821911,0.000006363756,0.000027418046,0.00022797528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984418,0.00027754175,0.00037632286,0.00053504575,0.00006165937,0.00030760135],"domain_scores_gemma":[0.99901164,0.00045778268,0.00008368337,0.0002477316,0.00003688895,0.00016225466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037274568,0.00016572984,0.00039244027,0.00007763873,0.00006137251,0.000003081206,0.000070221846,0.00008633941,0.000028823402],"category_scores_gemma":[0.00081068644,0.00014106224,0.000043463657,0.00010239104,0.0015436893,0.00005472327,0.00006821647,0.00039372692,0.000008158603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005935384,0.00009866824,0.8188356,0.00001738578,0.0000023878545,0.00030686433,0.00021824214,0.0000031832487,0.004748294,0.053993136,0.00072195847,0.120994925],"study_design_scores_gemma":[0.0011019185,0.00034095466,0.88351256,0.00005068759,0.000017765038,0.0013321255,0.00011385805,0.00055328687,0.00072194944,0.04730997,0.06476352,0.00018138737],"about_ca_topic_score_codex":0.0000025504926,"about_ca_topic_score_gemma":0.0000059697627,"teacher_disagreement_score":0.12665017,"about_ca_system_score_codex":0.0000358199,"about_ca_system_score_gemma":0.00003532764,"threshold_uncertainty_score":0.5752351},"labels":[],"label_agreement":null},{"id":"W2326625557","doi":"10.1097/00004424-200201000-00003","title":"Arterial Port Catheter System Placement Using a Translumbar Aortic Route","year":2002,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","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":"Dalhousie University","funders":"","keywords":"Medicine; Catheter; Percutaneous; Port (circuit theory); Aorta; Surgery; Arterial catheter; Artery","score_opus":0.09965479372872876,"score_gpt":0.33645778843101926,"score_spread":0.2368029947022905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326625557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263614,0.0001943639,0.0009931129,0.0006951924,0.0012092561,0.00084822264,0.00007031233,0.00013624283,0.0032171467],"genre_scores_gemma":[0.99620366,0.000024097326,0.0011046779,0.0011810932,0.0007339287,0.00012902966,0.000031045125,0.000039356026,0.0005531118],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99688107,0.0008792885,0.00075187016,0.00046357693,0.00017065713,0.00085353164],"domain_scores_gemma":[0.9987987,0.00015279977,0.00030265626,0.0003530985,0.00007950916,0.00031320963],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038347152,0.0002679726,0.0006538276,0.00012488847,0.00062947517,0.000008997429,0.00018923583,0.0002941271,0.0010209671],"category_scores_gemma":[0.000049638726,0.00023265436,0.00018681212,0.00017660957,0.00040032578,0.00009065159,0.00004255729,0.00045392392,0.00040240958],"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":[0.00074169924,0.0016789904,0.24310274,0.0022895872,0.0031991953,0.0006811298,0.33726105,0.0016254251,0.34016132,0.026762703,0.038664695,0.0038314634],"study_design_scores_gemma":[0.058678955,0.009482044,0.15893944,0.006192315,0.0076393406,0.0020622197,0.08082501,0.48593706,0.013578672,0.012141528,0.1522215,0.012301905],"about_ca_topic_score_codex":0.0003629851,"about_ca_topic_score_gemma":0.000068213645,"teacher_disagreement_score":0.48431164,"about_ca_system_score_codex":0.0006179949,"about_ca_system_score_gemma":0.00013823698,"threshold_uncertainty_score":0.99989223},"labels":[],"label_agreement":null},{"id":"W2327389288","doi":"10.1097/00004424-200204000-00001","title":"Safety and Pharmacokinetics of P792, a New Blood-Pool Agent","year":2002,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","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":"ASTER","funders":"","keywords":"Pharmacokinetics; Pharmacology; Medicine","score_opus":0.05710591048567917,"score_gpt":0.29984741521007596,"score_spread":0.2427415047243968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327389288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541497,0.010391121,0.00024261468,0.026905159,0.0003245133,0.0006661756,0.00004223377,0.00006699079,0.0072114575],"genre_scores_gemma":[0.97171956,0.013373732,0.0072711343,0.0052709593,0.00048664384,0.000027225477,0.000012468488,0.000034211884,0.0018040419],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988947,0.00011693648,0.00034257263,0.00028790502,0.00012452008,0.0002333648],"domain_scores_gemma":[0.99895465,0.0002781994,0.0001418649,0.00022180322,0.00006691221,0.00033655766],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011464277,0.00016207168,0.00046821687,0.00009683645,0.00002938144,0.0000026890734,0.0000846661,0.000112419126,0.001178015],"category_scores_gemma":[0.00022798743,0.00014503591,0.000054426328,0.00018948468,0.0009495581,0.000032060896,0.00004771203,0.00021247847,0.000025683437],"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":[0.00034926896,0.000558023,0.24996705,0.0005238137,0.0018131966,0.00036807815,0.009110406,0.00018159019,0.210607,0.007831386,0.48581547,0.032874715],"study_design_scores_gemma":[0.018734857,0.004028962,0.16936412,0.0005822632,0.0021495891,0.001891967,0.00022114498,0.003459406,0.44607514,0.0065154727,0.34617507,0.00080198527],"about_ca_topic_score_codex":0.00008115241,"about_ca_topic_score_gemma":0.000006347731,"teacher_disagreement_score":0.23546815,"about_ca_system_score_codex":0.00004753319,"about_ca_system_score_gemma":0.00007054781,"threshold_uncertainty_score":0.99973506},"labels":[],"label_agreement":null},{"id":"W2330241064","doi":"10.1097/rli.0b013e3181ea3588","title":"Blood Velocity Calculated From Volumetric Dynamic Computed Tomography Angiography","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"Imaging phantom; Blood flow; Magnetic resonance angiography; Angiography; Magnetic resonance imaging; Scanner; Ultrasound; Tomography; Medicine; Velocimetry; Nuclear medicine; Flow velocity; Biomedical engineering; Computed tomography angiography; Radiology; Nuclear magnetic resonance; Physics; Relaxation (psychology); Optics","score_opus":0.008079701979510046,"score_gpt":0.2296942120002818,"score_spread":0.22161451002077176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330241064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964176,0.0012742779,0.0002662182,0.00029708366,0.0004122864,0.00043132523,0.000109227905,0.0002075037,0.00058447657],"genre_scores_gemma":[0.9945564,0.000015080016,0.0034866591,0.0010529611,0.00018163312,0.000033470307,0.00061197486,0.000032509426,0.000029293176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830693,0.00019303206,0.0003233926,0.00057273835,0.00020360026,0.0004003215],"domain_scores_gemma":[0.9984574,0.00016737539,0.00011314272,0.0005306624,0.00022296619,0.0005084695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012180305,0.0002904866,0.0005809477,0.0006377036,0.00012390509,0.000019068224,0.00018683926,0.0002721182,0.00047469133],"category_scores_gemma":[0.00020480971,0.000262681,0.0006648571,0.0018610896,0.0013811884,0.000072432355,0.00005515479,0.00054951553,0.000099176454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028949122,0.0002634857,0.9506434,0.000025132478,0.0015850565,0.000037522255,0.00019899184,0.000007329615,0.045181178,0.00021257791,0.0010767593,0.0007395682],"study_design_scores_gemma":[0.0019780246,0.00023540936,0.99007285,0.000032346798,0.00075721764,0.00019057882,0.0000405609,0.0009810546,0.0033292032,0.0016596447,0.000450296,0.0002728217],"about_ca_topic_score_codex":0.00037092692,"about_ca_topic_score_gemma":0.0001163956,"teacher_disagreement_score":0.041851975,"about_ca_system_score_codex":0.000017926843,"about_ca_system_score_gemma":0.00013617551,"threshold_uncertainty_score":0.99998254},"labels":[],"label_agreement":null},{"id":"W2331113209","doi":"10.1097/rli.0b013e3182300fe4","title":"Dynamic Contrast-Enhanced Computed Tomography Imaging Biomarkers Correlated With Immunohistochemistry for Monitoring the Effects of Sorafenib on Experimental Prostate Carcinomas","year":2011,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Vascularity; Prostate cancer; Sorafenib; Nuclear medicine; Prostate; Immunohistochemistry; Renal cell carcinoma; Urology; Pathology; Cancer; Internal medicine; Hepatocellular carcinoma","score_opus":0.014171007974697438,"score_gpt":0.26618851548417605,"score_spread":0.2520175075094786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331113209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936365,0.0028916027,0.00048194514,0.00024141042,0.0004986271,0.0018590669,0.000019053614,0.000073651,0.00029815876],"genre_scores_gemma":[0.9953692,0.0000287591,0.0035503362,0.00015915808,0.000037786533,0.00076078775,0.000032835498,0.00004378812,0.000017343553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986598,0.00012124149,0.00032061184,0.00041042294,0.00013366566,0.0003542802],"domain_scores_gemma":[0.9983946,0.0006691221,0.0002985152,0.00034599236,0.0001664399,0.00012532718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012859928,0.00028232814,0.0004950209,0.000120525634,0.00011075363,0.0000050791455,0.00017178363,0.00009685502,0.000007898182],"category_scores_gemma":[0.00010168351,0.00019983824,0.000118213975,0.00026730026,0.0018701408,0.000047941634,0.00002901687,0.00024770803,0.0000011370521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017104079,0.0001473283,0.06552002,0.00023117055,0.00063905073,0.000034698376,0.005287964,0.000010631156,0.925779,0.00005936476,0.00026652074,0.00031387073],"study_design_scores_gemma":[0.00423732,0.0018052179,0.09100856,0.00070642785,0.00017481804,0.000063557,0.0008787103,0.0004818342,0.9003168,0.0001341306,0.0000069006655,0.00018577337],"about_ca_topic_score_codex":0.0000850199,"about_ca_topic_score_gemma":0.0000012339315,"teacher_disagreement_score":0.02548854,"about_ca_system_score_codex":0.00022123694,"about_ca_system_score_gemma":0.00013527641,"threshold_uncertainty_score":0.8149167},"labels":[],"label_agreement":null},{"id":"W2331625369","doi":"10.1097/rli.0b013e31829d0414","title":"T2 Relaxation Time and Apparent Diffusion Coefficient for Noninvasive Assessment of Renal Pathology After Acute Kidney Injury in Mice","year":2013,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Pathology; Edema; Effective diffusion coefficient; Magnetic resonance imaging; Fibrosis; Acute kidney injury; Kidney; Infiltration (HVAC); Medulla; Radiology; Internal medicine","score_opus":0.013815246453522802,"score_gpt":0.2942204400471588,"score_spread":0.280405193593636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331625369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896326,0.00010949218,0.0009238557,0.00719708,0.00015036849,0.0015968824,0.0001751577,0.000018278302,0.00019627062],"genre_scores_gemma":[0.9844021,0.0002847123,0.010714003,0.0027928713,0.00008610239,0.0013635436,0.00021455374,0.000023859602,0.00011821429],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984586,0.00024403732,0.00046187823,0.00043035278,0.00012422545,0.0002808646],"domain_scores_gemma":[0.9987712,0.00032851237,0.00028092627,0.00019715997,0.00020225262,0.00021997433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027680094,0.0001887632,0.00055157737,0.00022533322,0.000031611406,0.0000052834857,0.00007582227,0.00021036384,0.00016634444],"category_scores_gemma":[0.000339583,0.00016053248,0.00005766698,0.00016724407,0.00079110725,0.0000693749,0.00007673552,0.00021469827,0.000012484003],"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":[0.00038847362,0.0003458085,0.22265351,0.00021604256,0.00020754596,0.00006675499,0.0027315437,0.000056463225,0.74086094,0.00070687715,0.03036751,0.0013985421],"study_design_scores_gemma":[0.004777671,0.0040105707,0.88585186,0.0006560024,0.00029845448,0.0002624754,0.00010230415,0.01072366,0.08774918,0.0033852523,0.001821627,0.00036093238],"about_ca_topic_score_codex":0.00007815197,"about_ca_topic_score_gemma":0.000008062507,"teacher_disagreement_score":0.66319835,"about_ca_system_score_codex":0.00023923766,"about_ca_system_score_gemma":0.0002933233,"threshold_uncertainty_score":0.65463245},"labels":[],"label_agreement":null},{"id":"W2334373805","doi":"10.1097/rli.0b013e3181fac6ef","title":"Whole-Heart Coronary Magnetic Resonance Angiography at 1.5 Tesla","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Confidence interval; Magnetic resonance angiography; Nuclear medicine; Magnetic resonance imaging; Radiology; Internal medicine","score_opus":0.017579362124213647,"score_gpt":0.286599504825824,"score_spread":0.2690201427016104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334373805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745699,0.0044832076,0.00073707424,0.012110739,0.00015746441,0.0008634963,0.00006949349,0.0003820368,0.0066265957],"genre_scores_gemma":[0.8365837,0.000096081625,0.15327571,0.0056101116,0.00025552278,0.000344329,0.00009334627,0.000041635998,0.0036995993],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898046,0.00004204063,0.0002134253,0.00037836112,0.0000902099,0.00029552972],"domain_scores_gemma":[0.99904156,0.00012850658,0.00006394123,0.00045323637,0.00008331056,0.00022942078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009893534,0.00016798831,0.00029033356,0.00010934406,0.00013120304,0.0000034800132,0.000119942095,0.00018799458,0.00024352093],"category_scores_gemma":[0.00011409577,0.0001483981,0.00014234772,0.00031752375,0.0017570059,0.000044710978,0.00006518055,0.0004274003,0.00012945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000436742,0.000061534025,0.12820715,0.000008600828,0.000009223234,0.00002981723,0.00010509958,0.0000015058471,0.7906461,0.0140126245,0.06312274,0.003751959],"study_design_scores_gemma":[0.0004562406,0.00047255508,0.45197436,0.000022425824,0.000034042867,0.0008587136,0.000016407203,0.00007274319,0.020444475,0.018528113,0.5069589,0.00016101598],"about_ca_topic_score_codex":0.000010944281,"about_ca_topic_score_gemma":0.000011095147,"teacher_disagreement_score":0.7702016,"about_ca_system_score_codex":0.00003154644,"about_ca_system_score_gemma":0.00005691067,"threshold_uncertainty_score":0.6473762},"labels":[],"label_agreement":null},{"id":"W2335416742","doi":"10.1097/00004424-200007000-00003","title":"Magnetic Resonance Imaging in Patients with Central Nervous System Pathology","year":2000,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Magnetic resonance imaging; Medicine; Central nervous system; Nuclear medicine; Adverse effect; Radiology; Randomized controlled trial; Pathology; Internal medicine","score_opus":0.008310161028153165,"score_gpt":0.19248958016413983,"score_spread":0.18417941913598668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335416742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974146,0.0006164337,0.000038318176,0.00016396817,0.00013851252,0.0002191561,0.000050697876,0.00007605044,0.0012822552],"genre_scores_gemma":[0.9978893,0.000005373609,0.0014917452,0.00045439205,0.000045175188,0.000027316572,0.000022556253,0.0000139775875,0.00005019636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830836,0.0004628178,0.00026537207,0.00038567238,0.000116012015,0.00046177622],"domain_scores_gemma":[0.9995497,0.000061148676,0.000055129367,0.00019143826,0.000042655207,0.000099933124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015371309,0.00016284113,0.00029556843,0.00006745002,0.0000763326,0.000018090877,0.00018001313,0.000051946383,0.0005818924],"category_scores_gemma":[0.000018325703,0.00012477575,0.000024303414,0.00016222571,0.0007593344,0.00014831839,0.000014830184,0.00011652363,0.00018075957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064513617,0.00016709937,0.88235164,0.0000708173,0.000006147813,0.0008944266,0.002423609,0.00053857185,0.08351171,0.012909397,0.00031102577,0.016170453],"study_design_scores_gemma":[0.0012009966,0.00027868178,0.9916276,0.00005831654,0.000009395549,0.00011691012,0.000055697667,0.00011348518,0.0047078296,0.0012403827,0.00040272783,0.00018800239],"about_ca_topic_score_codex":0.0001226784,"about_ca_topic_score_gemma":0.0000527215,"teacher_disagreement_score":0.10927597,"about_ca_system_score_codex":0.00006440923,"about_ca_system_score_gemma":0.00004423868,"threshold_uncertainty_score":0.63713133},"labels":[],"label_agreement":null},{"id":"W2397361021","doi":"10.1097/rli.0000000000000164","title":"Cardiovascular Imaging","year":2015,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"","keywords":"Modality (human–computer interaction); Magnetic resonance imaging; Medicine; Modalities; Medical physics; Radiology; Computer science; Artificial intelligence","score_opus":0.08377840231723817,"score_gpt":0.3515870775961113,"score_spread":0.26780867527887314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397361021","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":[0.0000026695,0.98767287,0.00009231137,0.00016194265,0.0008789106,0.00075865636,0.00006480279,0.0001651453,0.010202688],"genre_scores_gemma":[0.000007812176,0.9961671,0.0010780037,0.0004914986,0.0013021289,0.00014141854,0.00042629222,0.00010408553,0.0002816086],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974165,0.00063943065,0.00053176854,0.00065775577,0.0002935872,0.00046095887],"domain_scores_gemma":[0.9977148,0.00043886987,0.00019581101,0.0008896071,0.00025442636,0.0005064476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007685264,0.0005384134,0.004322123,0.0003108113,0.000052179515,0.00001844335,0.00016603064,0.00032404438,0.000019394152],"category_scores_gemma":[0.0021104217,0.00042675878,0.0018007914,0.00036568963,0.0011528801,0.000041116014,0.00011058471,0.00083955604,0.000511518],"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":[0.000002927435,0.000020755822,0.00032309184,0.0052303835,0.0021914542,0.0010606968,0.00009440663,0.000002497324,2.8935133e-7,0.0003809952,0.06508045,0.92561203],"study_design_scores_gemma":[0.00043882383,0.000048753787,0.000037949118,0.005070902,0.006743671,0.0063642897,0.000018567824,0.0000043168875,0.0000011571312,0.00059504196,0.9803112,0.0003653414],"about_ca_topic_score_codex":0.000035682908,"about_ca_topic_score_gemma":2.3829321e-7,"teacher_disagreement_score":0.9252467,"about_ca_system_score_codex":0.0003942802,"about_ca_system_score_gemma":0.0016568346,"threshold_uncertainty_score":0.99981844},"labels":[],"label_agreement":null},{"id":"W2409287736","doi":"10.1097/rli.0000000000000204","title":"Pharmacokinetics and Safety of Macrocyclic Gadobutrol in Children Aged Younger Than 2 Years Including Term Newborns in Comparison to Older Populations","year":2015,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stollery Children's Hospital; University of Alberta","funders":"","keywords":"Gadobutrol; Tolerability; Medicine; Adverse effect; Pharmacokinetics; Population; Vomiting; Pediatrics; Clinical endpoint; Clinical trial; Magnetic resonance imaging; Internal medicine; Radiology","score_opus":0.10278885111204343,"score_gpt":0.39597920783669616,"score_spread":0.2931903567246527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409287736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99544156,0.00024122302,0.00007236229,0.0028849165,0.00006310904,0.00095080415,0.00008500786,0.00001895666,0.00024208377],"genre_scores_gemma":[0.99557436,0.000025824858,0.00327882,0.0007837246,0.00008497279,0.000052494102,0.00012827791,0.000023131774,0.00004841578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982445,0.00036586428,0.00050119485,0.00032101152,0.00020232733,0.0003650526],"domain_scores_gemma":[0.99898034,0.000108008455,0.00010594524,0.00020440787,0.00006909497,0.00053218467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048170667,0.0001632936,0.0005668197,0.0005155107,0.00002622877,0.000005751802,0.00013943274,0.00013946183,0.00003073675],"category_scores_gemma":[0.0008161855,0.00015933234,0.00003106626,0.000547937,0.00050758984,0.0000835139,0.00015388103,0.00048537058,0.000008890342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002782638,0.00008278947,0.9586995,0.000012680412,0.000055034416,0.000020533473,0.0047069,0.00006458807,0.031461794,0.000110081666,0.0039749458,0.00053286494],"study_design_scores_gemma":[0.0041412464,0.00031292738,0.99117184,0.000102236445,0.00003584074,0.00008364059,0.00026355914,0.00038886018,0.0028723942,0.00035318377,0.00014420335,0.00013006276],"about_ca_topic_score_codex":0.00038001238,"about_ca_topic_score_gemma":0.00012922287,"teacher_disagreement_score":0.03247232,"about_ca_system_score_codex":0.00021659963,"about_ca_system_score_gemma":0.00019813913,"threshold_uncertainty_score":0.64973843},"labels":[],"label_agreement":null},{"id":"W24220251","doi":"10.1097/rli.0000000000000003","title":"Clinical outcomes, quality of life and diagnostic uncertainty in the first year in polymyalgia rheumatica: A prospective cohort study","year":2006,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Polymyalgia rheumatica; Medicine; Prospective cohort study; Cohort; Quality of life (healthcare); Cohort study; Quality (philosophy); Internal medicine; Disease; Giant cell arteritis; Vasculitis","score_opus":0.031189302535688277,"score_gpt":0.3297941941021902,"score_spread":0.2986048915665019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24220251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948538,0.00030562212,0.0000056687027,0.002718091,0.00006835914,0.0015084739,0.000017181432,0.000012269186,0.0005105351],"genre_scores_gemma":[0.99921393,0.00006896344,0.00009050913,0.0003553905,0.000036169276,0.00018778509,0.000020196949,0.0000078077355,0.000019230534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767476,0.00085230183,0.000838019,0.0002979424,0.00014970372,0.00018727148],"domain_scores_gemma":[0.99639654,0.0030347703,0.0001741384,0.00025239395,0.00006934408,0.000072819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014158105,0.00013382816,0.0007612608,0.0001016575,0.00004593893,0.0000046095183,0.0000891561,0.00015298971,0.000022331622],"category_scores_gemma":[0.005713803,0.0000833017,0.00008060106,0.00027589736,0.001209475,0.000028385668,0.000031433687,0.00046638274,0.000005809252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033831162,0.000594784,0.9873573,0.000025037203,0.00016200654,0.000029992523,0.0014702618,0.000033641772,0.0000035041235,0.009952464,0.00032297184,0.000014169893],"study_design_scores_gemma":[0.003927709,0.00049053045,0.9828546,0.000068518835,0.000060433584,0.000014687131,0.0014527414,0.000039442664,0.0000010212678,0.010997325,0.000009868628,0.00008313614],"about_ca_topic_score_codex":0.0037671414,"about_ca_topic_score_gemma":0.0028197565,"teacher_disagreement_score":0.00450275,"about_ca_system_score_codex":0.00005973484,"about_ca_system_score_gemma":0.0001376148,"threshold_uncertainty_score":0.6840369},"labels":[],"label_agreement":null},{"id":"W2466317970","doi":"10.1097/rli.0000000000000205","title":"Kidney Transplantation","year":2015,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Histopathology; Transplantation; Kidney; Medicine; Magnetic resonance imaging; Kidney transplantation; Effective diffusion coefficient; Perfusion; Pathology; Fibrosis; Nuclear medicine; Urology; Radiology; Internal medicine","score_opus":0.08840360525044128,"score_gpt":0.32373361552931845,"score_spread":0.23533001027887718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466317970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8897627,0.00055011944,0.0010047943,0.0662698,0.000838168,0.0005156791,0.000047706046,0.0001903557,0.040820695],"genre_scores_gemma":[0.9663033,0.00035577948,0.012369672,0.019599188,0.0005128826,0.000117408104,0.00016318304,0.000026698,0.0005518852],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992139,0.000118011696,0.00016130618,0.00021027382,0.000118498116,0.00017804588],"domain_scores_gemma":[0.9990332,0.00009202832,0.00005111611,0.0001568926,0.000106034175,0.000560726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001812446,0.000102578204,0.0002305368,0.000079361096,0.000021385094,0.0000035294768,0.000059554757,0.00010272604,0.00011919699],"category_scores_gemma":[0.00037432835,0.000089688416,0.00003753424,0.00015225136,0.0004920812,0.00005745489,0.000007448301,0.00014880297,0.0001746652],"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":[0.00029531668,0.00008071121,0.26697162,0.00013449418,0.00016604658,0.00031065816,0.0060802503,0.00006460985,0.018454444,0.010002063,0.6963065,0.0011332633],"study_design_scores_gemma":[0.014340674,0.0036189226,0.21788792,0.00049589784,0.00065101654,0.0044472157,0.0007915971,0.0006934061,0.2553365,0.06296119,0.43795404,0.0008216435],"about_ca_topic_score_codex":0.000067252135,"about_ca_topic_score_gemma":0.000007884584,"teacher_disagreement_score":0.2583525,"about_ca_system_score_codex":0.00013262176,"about_ca_system_score_gemma":0.0004668051,"threshold_uncertainty_score":0.36573875},"labels":[],"label_agreement":null},{"id":"W2467131512","doi":"10.1097/rli.0000000000000167","title":"Inflection Points in Magnetic Resonance Imaging Technology—35 Years of Collaborative Research and Development","year":2015,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","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":"Hospital for Sick Children","funders":"","keywords":"Magnetic resonance imaging; Magnet; Computer science; Exploit; Physics of magnetic resonance imaging; k-space; Software; Nuclear magnetic resonance; Medical physics; Physics; Engineering; Magnetic resonance microscopy; Mechanical engineering; Medicine; Radiology; Computer security","score_opus":0.13276884285816865,"score_gpt":0.44556502028043266,"score_spread":0.312796177422264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467131512","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":[0.00073953916,0.9969608,0.00010542082,0.00022040626,0.0000195126,0.0015215267,0.000019769823,0.000048791935,0.00036420816],"genre_scores_gemma":[0.00010048504,0.9384963,0.060277663,0.000031104115,0.00002848084,0.00085138634,0.00004581158,0.00003188028,0.00013691092],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983041,0.0002319227,0.0005620895,0.00046134292,0.00015405678,0.00028647797],"domain_scores_gemma":[0.99876404,0.00022151793,0.00022160253,0.0002835782,0.00040380083,0.00010544568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065413857,0.00020407826,0.001148044,0.0009623384,0.00004719224,0.0000038293942,0.00013683841,0.00033245896,0.000005210726],"category_scores_gemma":[0.0005323245,0.00019170088,0.00002519088,0.0018297529,0.0021636696,0.000038825896,0.00013811872,0.00081216206,0.000009288832],"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":[0.000012178943,0.000041656138,0.00037936473,0.0006071163,0.000008290205,0.00003090455,0.00041240753,1.8527861e-7,0.00010055157,0.0034525387,0.00055093213,0.9944039],"study_design_scores_gemma":[0.0003316875,0.00029759936,0.00047590872,0.0049481844,0.00002761897,0.00020658721,0.00019843788,0.0000032174048,0.00024514983,0.01621046,0.9769048,0.00015032192],"about_ca_topic_score_codex":0.000012165239,"about_ca_topic_score_gemma":0.000014190467,"teacher_disagreement_score":0.9942536,"about_ca_system_score_codex":0.00041766142,"about_ca_system_score_gemma":0.0013364373,"threshold_uncertainty_score":0.7972131},"labels":[],"label_agreement":null},{"id":"W2517608096","doi":"10.1097/rli.0000000000000307","title":"Gadobutrol in Renally Impaired Patients","year":2016,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Gadobutrol; Nephrogenic systemic fibrosis; Medicine; Magnetic resonance imaging; Bolus (digestion); Cohort; Prospective cohort study; Kidney disease; Radiology; Nuclear medicine; Urology; Internal medicine","score_opus":0.02227000946818446,"score_gpt":0.22957819757833237,"score_spread":0.2073081881101479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517608096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754035,0.00003434794,0.00033944848,0.0010733287,0.00020671822,0.00013632995,0.00005272443,0.000050948976,0.00056580803],"genre_scores_gemma":[0.99811834,0.000006670042,0.0010928736,0.00061544776,0.000051902294,0.00002749339,0.000008085873,0.00000862632,0.00007053879],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872243,0.00035592943,0.0002561938,0.00027946875,0.00010203371,0.00028391366],"domain_scores_gemma":[0.99943143,0.00018304976,0.00007697996,0.00015364801,0.000059516173,0.00009537904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002464902,0.00011808036,0.00023056555,0.00008588016,0.00004195488,0.000008912597,0.00017331276,0.00006516025,0.0005108461],"category_scores_gemma":[0.00021375083,0.00007067401,0.000037892638,0.00011003028,0.00056767574,0.00017950834,0.000028721266,0.00005390654,0.0004406043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039455463,0.00003256562,0.053233773,0.0000044800827,0.000004930667,0.000012524866,0.00021538314,0.0000024936023,0.9411444,0.0045972588,0.00046733159,0.00024539954],"study_design_scores_gemma":[0.0018906286,0.00034395352,0.5078925,0.0000599591,0.0000072219937,0.000015862945,0.000017517616,0.00000783073,0.42278713,0.066196755,0.0005615959,0.00021904262],"about_ca_topic_score_codex":0.000047542264,"about_ca_topic_score_gemma":0.00006869766,"teacher_disagreement_score":0.5183573,"about_ca_system_score_codex":0.00004857677,"about_ca_system_score_gemma":0.000048357255,"threshold_uncertainty_score":0.5663224},"labels":[],"label_agreement":null},{"id":"W2523655169","doi":"10.1097/rli.0000000000000325","title":"Radiation Dose Comparison Between 70 kVp and 100 kVp With Spectral Beam Shaping for Non–Contrast-Enhanced Pediatric Chest Computed Tomography","year":2016,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nuclear medicine; Medicine; Image quality; Effective dose (radiation); Radiation exposure; Radiation dose; Radiology","score_opus":0.034930620577660096,"score_gpt":0.29057496143976924,"score_spread":0.25564434086210913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523655169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97155553,0.0007209657,0.022814235,0.0034102849,0.00013571056,0.0010245171,0.00003878773,0.00011055256,0.00018940377],"genre_scores_gemma":[0.99347264,0.000088379136,0.0042412584,0.0006442809,0.0012829743,0.000087488705,0.00010406538,0.000037802212,0.00004111876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820447,0.000106089654,0.00047402884,0.0005392256,0.00015014135,0.00052606076],"domain_scores_gemma":[0.9983148,0.00068981847,0.00032661782,0.00020534947,0.00012798086,0.0003354597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029723442,0.00029384132,0.0007351767,0.0004009933,0.00017278464,0.000026444912,0.0001104999,0.00015797881,0.000017283748],"category_scores_gemma":[0.00023047291,0.00020864767,0.000088854395,0.00043123082,0.0006208054,0.00027074973,0.000023409119,0.0002132941,0.000010041504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023612782,0.00006272428,0.9030927,0.00010626038,0.0002829517,0.0000066606563,0.0013561222,0.000038418526,0.07300347,0.0003075636,0.0018426048,0.0196644],"study_design_scores_gemma":[0.004937287,0.0013108985,0.90863323,0.000107227,0.0002945809,0.00003647628,0.00009128288,0.0012802,0.08179351,0.00075837283,0.0004410968,0.00031581955],"about_ca_topic_score_codex":0.000023324394,"about_ca_topic_score_gemma":0.000007407123,"teacher_disagreement_score":0.02191709,"about_ca_system_score_codex":0.0001067244,"about_ca_system_score_gemma":0.00017900219,"threshold_uncertainty_score":0.8508405},"labels":[],"label_agreement":null},{"id":"W2559794190","doi":"10.1097/rli.0000000000000341","title":"Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs","year":2016,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":253,"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. Michael's Hospital","funders":"Siemens Medical Solutions USA; Nvidia; Google","keywords":"Medicine; Receiver operating characteristic; Radiography; Convolutional neural network; Radiology; Pleural effusion; Pneumothorax; Credentialing; Artificial intelligence; Computer science; Internal medicine","score_opus":0.08313131128224248,"score_gpt":0.3036097608725078,"score_spread":0.2204784495902653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559794190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97597843,0.0002625753,0.018529715,0.0045357,0.00019498212,0.00041247995,0.000024263789,0.000046385918,0.000015484757],"genre_scores_gemma":[0.9856434,0.000029410741,0.0121050915,0.0017156468,0.00038156382,0.00007985082,0.000022071914,0.000015426975,0.0000075573307],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988811,0.00019027149,0.00030398645,0.0003147413,0.0000836625,0.00022626395],"domain_scores_gemma":[0.99744433,0.0020294897,0.00021247225,0.000104567895,0.00009475197,0.000114373164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645533,0.00014695388,0.00036570305,0.00014054285,0.00012208568,0.000008034744,0.000037772465,0.000116215764,0.0000037921318],"category_scores_gemma":[0.0005125285,0.00011562452,0.00005641883,0.00010773862,0.0012156512,0.00008676329,0.000019214689,0.000100658675,4.1565931e-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":[0.0012707055,0.0001607481,0.34446454,0.00060611847,0.0007156746,0.000014502951,0.010565933,0.0010969269,0.43486366,0.023903057,0.0015677582,0.1807704],"study_design_scores_gemma":[0.003749245,0.0024310432,0.93281716,0.0004440426,0.00013876721,0.00027099278,0.00038121364,0.042792697,0.0080210585,0.0078336485,0.0008832846,0.00023683875],"about_ca_topic_score_codex":0.000029502666,"about_ca_topic_score_gemma":0.00003082166,"teacher_disagreement_score":0.5883526,"about_ca_system_score_codex":0.000084097446,"about_ca_system_score_gemma":0.00006740295,"threshold_uncertainty_score":0.4715031},"labels":[],"label_agreement":null},{"id":"W2582537586","doi":"10.1097/rli.0000000000000352","title":"Quantification and Assessment of the Chemical Form of Residual Gadolinium in the Brain After Repeated Administration of Gadolinium-Based Contrast Agents","year":2017,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":206,"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":"Gadolinium; Gadodiamide; Chemistry; Chromatography; Medicine; Gel permeation chromatography; Nuclear medicine; Brain tissue; Biomedical engineering","score_opus":0.06915756593379446,"score_gpt":0.342212496743315,"score_spread":0.27305493080952054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582537586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967168,0.000021938988,0.00018090589,0.0025014968,0.000071759176,0.00026515717,0.00010253636,0.0000033159151,0.00013607241],"genre_scores_gemma":[0.99879456,0.0000034583577,0.0009137784,0.00021836454,0.000020165759,0.00002430056,0.00001870218,0.000003743195,0.0000029105986],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998654,0.00048175783,0.00043575096,0.00017307792,0.00015206434,0.000103364124],"domain_scores_gemma":[0.9986527,0.00034085836,0.00051679474,0.0003692192,0.000096632066,0.000023817447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095525186,0.00008400646,0.00025108375,0.000032897955,0.00006199378,0.0000138455725,0.00027967288,0.00007100278,0.000023478851],"category_scores_gemma":[0.00043482543,0.000049820206,0.00003989999,0.000052788702,0.0017964179,0.000086813234,0.000026400454,0.000097250966,4.1538993e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014965788,0.000056739605,0.023018887,0.00005337745,0.000008276525,0.0000018868313,0.0006800257,0.000005834524,0.97137594,0.0045906627,0.00003754493,0.000021149826],"study_design_scores_gemma":[0.00035793698,0.000098316625,0.4659175,0.00004052315,0.0000128941765,0.000005502677,0.000065029395,0.00019019787,0.529874,0.0034018154,0.00000458344,0.000031699426],"about_ca_topic_score_codex":0.00010957259,"about_ca_topic_score_gemma":0.00011833313,"teacher_disagreement_score":0.4428986,"about_ca_system_score_codex":0.000009817947,"about_ca_system_score_gemma":0.00014159066,"threshold_uncertainty_score":0.66189766},"labels":[],"label_agreement":null},{"id":"W2585905508","doi":"10.1097/rli.0000000000000316","title":"Quantitative Assessment of Liver Function Using Gadoxetate-Enhanced Magnetic Resonance Imaging","year":2016,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":28,"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":"Biotechnology and Biological Sciences Research Council; Ministère des relations internationales et de la Francophonie","keywords":"Magnetic resonance imaging; Medicine; In vivo; Reproducibility; Bile duct; Nuclear medicine; Radiology; Chemistry; Internal medicine; Biology","score_opus":0.05075799509728476,"score_gpt":0.29947048071266164,"score_spread":0.24871248561537687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585905508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8839474,0.0014218158,0.11353874,0.00014378026,0.0002573769,0.00014729652,0.000052486208,0.000039419538,0.00045172437],"genre_scores_gemma":[0.9740197,0.000041830295,0.02563653,0.00018893546,0.000039122155,0.000014640835,0.00000334911,0.000012000563,0.000043883916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984352,0.00049227185,0.0003291957,0.00034330206,0.00014986303,0.00025017097],"domain_scores_gemma":[0.99905205,0.00033199886,0.00019115915,0.00017733999,0.00017677956,0.00007070061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035374347,0.00014836759,0.00030767825,0.00009087422,0.00009080587,0.000011018211,0.00013814153,0.000041606796,0.00062331633],"category_scores_gemma":[0.00011385937,0.00009983472,0.00005507392,0.00015082907,0.0012454074,0.00029825917,0.00003521498,0.00006340931,0.000054180135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057854075,0.000017357415,0.0014521317,0.000014409052,0.0000068659374,0.0000085210295,0.00020342284,0.000032668555,0.96610445,0.030903876,0.000033687476,0.0011647712],"study_design_scores_gemma":[0.00078657694,0.00055351673,0.100948356,0.0001475133,0.00006131875,0.000034630062,0.00011004318,0.0015029567,0.8578095,0.037700873,0.00012562102,0.00021911062],"about_ca_topic_score_codex":0.00009068852,"about_ca_topic_score_gemma":0.000020484349,"teacher_disagreement_score":0.10829496,"about_ca_system_score_codex":0.000049008126,"about_ca_system_score_gemma":0.00010094335,"threshold_uncertainty_score":0.68248767},"labels":[],"label_agreement":null},{"id":"W2754629144","doi":"10.1097/rli.0000000000000415","title":"Multiparametric Magnetic Resonance Imaging of Prostate Cancer Bone Disease","year":2017,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Prostate Cancer Treatment and Research","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":"Institute of Cancer Research","funders":"Stand Up To Cancer; Prostate Cancer Foundation; Prostate Cancer UK; Cancer Research UK; Royal Marsden NHS Foundation Trust; Medical Research Council; Movember Foundation","keywords":"Medicine; Prostate cancer; Magnetic resonance imaging; Effective diffusion coefficient; Bone marrow; Biopsy; Imaging biomarker; Bone metastasis; Pathology; Prostate; Cancer; Univariate analysis; Diffusion MRI; Nuclear medicine; Radiology; Internal medicine; Multivariate analysis","score_opus":0.043739243829184996,"score_gpt":0.34698709976547426,"score_spread":0.3032478559362893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754629144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145694,0.076396264,0.000003065474,0.007034956,0.0001354743,0.00068239006,0.00010632193,0.000026383417,0.0010457712],"genre_scores_gemma":[0.993513,0.00250455,0.00063979806,0.00026111346,0.00010862176,0.00019637671,0.000017674247,0.000021344289,0.002737511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987536,0.00009303964,0.00024000868,0.0003576566,0.00018288674,0.00037280354],"domain_scores_gemma":[0.99870574,0.00010402822,0.00019148033,0.0004585507,0.00019898241,0.00034121244],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00016924922,0.0001613738,0.00040300246,0.00017384381,0.00019438667,0.00001684913,0.00017411941,0.00004571734,0.00008570392],"category_scores_gemma":[0.000999258,0.00012241377,0.00007584384,0.00015285103,0.0028331222,0.00011062001,0.000093454415,0.0002035731,0.000015297532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006327084,0.000072656985,0.9518868,0.00011139471,0.000030946987,0.00042144337,0.00039223538,0.0000041366293,0.011873267,0.0003073522,0.0010940724,0.033173],"study_design_scores_gemma":[0.0030695552,0.00025138457,0.9804645,0.0002350671,0.00007634524,0.00003667555,0.000038485185,0.00068627705,0.010418846,0.0022639334,0.0023331111,0.00012581212],"about_ca_topic_score_codex":0.00044897362,"about_ca_topic_score_gemma":0.000012824451,"teacher_disagreement_score":0.07894363,"about_ca_system_score_codex":0.00012175193,"about_ca_system_score_gemma":0.00050366076,"threshold_uncertainty_score":0.9998806},"labels":[],"label_agreement":null},{"id":"W2755844843","doi":"10.1097/rli.0000000000000413","title":"Unenhanced Dual-Energy Computed Tomography","year":2017,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Emergency department; Radiology; Edema; Stroke (engine); Computed tomography; Acute stroke; Infarction; Tomography; Predictive value; Cerebral edema; Nuclear medicine; Surgery; Internal medicine; Myocardial infarction","score_opus":0.015523996297051429,"score_gpt":0.23406804579793442,"score_spread":0.218544049500883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755844843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80309016,0.0028655897,0.14798115,0.0012828712,0.0027350055,0.00022299096,0.000035105444,0.0013626493,0.040424507],"genre_scores_gemma":[0.9933521,0.000050047456,0.0058735204,0.0003224834,0.00023193899,0.000026416477,0.000015640995,0.00003103836,0.00009677699],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911755,0.00005018934,0.00018746441,0.00023276378,0.00006373145,0.00034828487],"domain_scores_gemma":[0.99921554,0.0000752695,0.000082209204,0.000448614,0.00004231032,0.00013607688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006656527,0.0002016372,0.00028434108,0.00009364275,0.00029586034,0.000036313177,0.0002872395,0.000100574995,0.000022241866],"category_scores_gemma":[0.00007721097,0.00020270518,0.00006600938,0.00009235655,0.00096459134,0.00024580973,0.00005679648,0.00020592216,0.000025730604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004557562,0.00007359802,0.019847583,0.00013770317,0.00091085734,0.00037057698,0.0023993687,0.07074906,0.63234806,0.20888221,0.01925318,0.044982202],"study_design_scores_gemma":[0.002441351,0.00026811165,0.12642902,0.00020420889,0.000069533606,0.00025730446,0.0002063489,0.08192178,0.47491196,0.25178447,0.05973451,0.0017714001],"about_ca_topic_score_codex":0.000021274702,"about_ca_topic_score_gemma":0.000020405838,"teacher_disagreement_score":0.190262,"about_ca_system_score_codex":0.000030984273,"about_ca_system_score_gemma":0.000015781347,"threshold_uncertainty_score":0.8266077},"labels":[],"label_agreement":null},{"id":"W2804236624","doi":"10.1097/rli.0000000000000480","title":"Modeling Gadoxetate Liver Uptake and Efflux Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Enables Preclinical Quantification of Transporter Drug-Drug Interactions","year":2018,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Ministère des relations internationales et de la Francophonie","keywords":"In vivo; Magnetic resonance imaging; Efflux; Transporter; Rifampicin; Chemistry; Reproducibility; Pharmacology; Medicine; Extracellular; Nuclear medicine; Pathology; Radiology; Biology; Biochemistry; Chromatography","score_opus":0.03753447404765617,"score_gpt":0.30476529959301774,"score_spread":0.2672308255453616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804236624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9337652,0.003704638,0.06097966,0.000551024,0.00031885726,0.0004596472,0.00002955224,0.000049764054,0.00014167263],"genre_scores_gemma":[0.9847312,0.00034676777,0.01421132,0.00021851048,0.00010851336,0.000023315812,0.000040131046,0.000031907974,0.00028833418],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981917,0.00013664813,0.000699875,0.0005149463,0.00013631949,0.00032050308],"domain_scores_gemma":[0.99897736,0.0001453665,0.00017364902,0.0002613736,0.0002830904,0.00015917518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037256864,0.00022139533,0.00056634913,0.00015373314,0.0001322251,0.000009053482,0.000097895325,0.000066632114,0.00006117563],"category_scores_gemma":[0.0000884457,0.000200369,0.00009900257,0.00017682253,0.0015646602,0.00015730949,0.000011174388,0.00028071128,0.000005979372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006632683,0.00015112404,0.0069420016,0.00025307064,0.000088477864,0.00003962933,0.0065170513,0.0005287011,0.9645453,0.0011685509,0.000030396423,0.019072397],"study_design_scores_gemma":[0.0032963932,0.00026742637,0.09884643,0.0013926271,0.0006191014,0.0002005825,0.001460377,0.7440686,0.14425461,0.0047514252,0.00036773153,0.0004746496],"about_ca_topic_score_codex":0.00011805752,"about_ca_topic_score_gemma":0.00045675243,"teacher_disagreement_score":0.82029074,"about_ca_system_score_codex":0.000058595546,"about_ca_system_score_gemma":0.0001357637,"threshold_uncertainty_score":0.8170811},"labels":[],"label_agreement":null},{"id":"W2892155071","doi":"10.1097/rli.0000000000000510","title":"Linearity, Bias, Intrascanner Repeatability, and Interscanner Reproducibility of Quantitative Multidynamic Multiecho Sequence for Rapid Simultaneous Relaxometry at 3 T","year":2018,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Repeatability; Reproducibility; Imaging phantom; Relaxometry; Volunteer; Nuclear medicine; Linearity; Nuclear magnetic resonance; Medicine; Magnetic resonance imaging; Chemistry; Radiology; Chromatography; Physics; Spin echo","score_opus":0.11575589679498291,"score_gpt":0.38621324768986476,"score_spread":0.2704573508948819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892155071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618388,0.00033638589,0.033479687,0.0020138412,0.000104890256,0.0016587074,0.0002701692,0.00012874656,0.00016879366],"genre_scores_gemma":[0.746033,0.00007683701,0.2530147,0.00032015372,0.00009094487,0.00013555025,0.000083242056,0.000024371206,0.00022115932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974419,0.00019255001,0.00063486234,0.0013142363,0.00011050224,0.00030598146],"domain_scores_gemma":[0.99583906,0.0015961978,0.0003521465,0.0012890269,0.00072727475,0.00019631321],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001166803,0.0002417574,0.0006450071,0.00014008458,0.00014736142,0.0000043990444,0.00014981421,0.00021441473,0.00003014457],"category_scores_gemma":[0.0151198115,0.00020382857,0.00010476016,0.0003264456,0.005483125,0.000082562554,0.00019350444,0.00028038133,0.0000043257646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023453669,0.00055867585,0.070428364,0.0005887367,0.00025039358,0.000021659635,0.0073595527,0.00026541215,0.8804297,0.012727569,0.0017258531,0.023298731],"study_design_scores_gemma":[0.00403831,0.010898406,0.029427443,0.0004718216,0.00033953684,0.0007101904,0.0016362595,0.13627021,0.7408996,0.063915394,0.010424724,0.00096808374],"about_ca_topic_score_codex":0.00014266858,"about_ca_topic_score_gemma":0.00012123981,"teacher_disagreement_score":0.21953502,"about_ca_system_score_codex":0.00023427219,"about_ca_system_score_gemma":0.00010903922,"threshold_uncertainty_score":0.9972234},"labels":[],"label_agreement":null},{"id":"W2899323505","doi":"10.1097/rli.0000000000000517","title":"Does Age Interfere With Gadolinium Toxicity and Presence in Brain and Bone Tissues?","year":2018,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Gadodiamide; Medicine; Juvenile; Glial fibrillary acidic protein; Magnetic resonance imaging; Saline; Cerebellum; Gadolinium; Toxicity; Pathology; Nuclear medicine; Internal medicine; Endocrinology; Physiology; Immunohistochemistry; Chemistry; Radiology; Biology","score_opus":0.025352734848454947,"score_gpt":0.26623393886386254,"score_spread":0.24088120401540758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899323505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969612,0.00013041201,0.00029071924,0.0020267628,0.00010636801,0.00014709974,0.000021428246,0.00003045282,0.0002855901],"genre_scores_gemma":[0.9958255,0.000018193663,0.0030624333,0.00085127214,0.00009597039,0.000012542277,0.0000035507892,0.0000069552343,0.0001235277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892116,0.00030297204,0.00016532771,0.00033941673,0.00006387333,0.00020727476],"domain_scores_gemma":[0.99945635,0.00023098532,0.000057395195,0.00012197988,0.000036404992,0.00009687378],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00029237976,0.00012345992,0.00026336286,0.00006113906,0.00006965463,0.000033063418,0.00008801223,0.000060853657,0.00010059065],"category_scores_gemma":[0.00015198467,0.00006910299,0.0000080603395,0.00009067268,0.003007519,0.00017482485,0.0000598965,0.00010008385,0.000014297255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010711949,0.000019784145,0.00884728,0.000030999676,0.0000071456716,0.00008960176,0.0039494773,8.3571865e-7,0.98094124,0.0057110987,0.00018888994,0.000106505875],"study_design_scores_gemma":[0.0010809095,0.0012851256,0.06968875,0.00014938168,0.000012843591,0.00028246577,0.00046812362,0.00010392483,0.8680578,0.057627592,0.00094660604,0.0002965161],"about_ca_topic_score_codex":0.00017831387,"about_ca_topic_score_gemma":0.0016231597,"teacher_disagreement_score":0.1128835,"about_ca_system_score_codex":0.000009143113,"about_ca_system_score_gemma":0.00002192799,"threshold_uncertainty_score":0.99970573},"labels":[],"label_agreement":null},{"id":"W290914976","doi":"10.1097/rli.0000000000000163","title":"Multiparametric Magnetic Resonance Imaging in Prostate Cancer Management","year":2015,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Magnetic resonance imaging; Prostate cancer; Medicine; Prostate; Management of prostate cancer; Medical physics; Radiology; Clinical Practice; Cancer","score_opus":0.07317632653321422,"score_gpt":0.36701630779564187,"score_spread":0.29383998126242766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W290914976","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":[0.00016170989,0.9935759,5.965699e-7,0.00037456464,0.0003079635,0.0037484046,0.00017083669,0.000054636213,0.0016054123],"genre_scores_gemma":[0.00007435705,0.9919098,0.0011463441,0.00044916844,0.00013372078,0.005088511,0.0001705585,0.00008440748,0.00094314764],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697965,0.00038355356,0.00079953036,0.0009567553,0.00023182262,0.0006486597],"domain_scores_gemma":[0.9986226,0.00018816438,0.00032883324,0.00041390915,0.000113838876,0.0003326572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036535913,0.00061993196,0.002445179,0.00077865325,0.000036968533,0.00001707492,0.00019822888,0.00016841896,0.00005535179],"category_scores_gemma":[0.00012228375,0.00047260968,0.0002272896,0.0012088654,0.00066838245,0.000059903046,0.00012941012,0.00053027674,0.00009870977],"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":[0.00002423734,0.00011037431,0.0069053737,0.0046211686,0.00009872317,0.0018684574,0.00019184519,0.0000026974592,2.1075952e-7,0.00020397746,0.003898821,0.98207414],"study_design_scores_gemma":[0.001960349,0.00029685165,0.0042450046,0.01717075,0.0008940693,0.00035564243,0.000035571644,0.000021454378,0.0000025653972,0.00058777194,0.97403234,0.00039763242],"about_ca_topic_score_codex":0.00022693149,"about_ca_topic_score_gemma":0.000024923858,"teacher_disagreement_score":0.98167646,"about_ca_system_score_codex":0.0019633053,"about_ca_system_score_gemma":0.00078113715,"threshold_uncertainty_score":0.99977255},"labels":[],"label_agreement":null},{"id":"W2913183382","doi":"10.1097/rli.0000000000000542","title":"Longitudinal Visualization of Viable Cancer Cell Intratumoral Distribution in Mouse Models Using Oatp1a1-Enhanced Magnetic Resonance Imaging","year":2019,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Ontario Institute for Cancer Research; Robarts Clinical Trials; Western University","funders":"","keywords":"Bioluminescence imaging; Magnetic resonance imaging; Ex vivo; In vivo; Reporter gene; Preclinical imaging; Pathology; Gadolinium; Luciferase; Cancer cell; Chemistry; Cancer research; Cancer; Molecular biology; Nuclear magnetic resonance; Medicine; Biology; Gene; Gene expression; Transfection; Radiology; Biochemistry; Internal medicine","score_opus":0.02245701994811879,"score_gpt":0.2884229238651633,"score_spread":0.26596590391704455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913183382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918099,0.004887227,0.002664062,0.000039687115,0.00007698469,0.00027244873,0.000057158955,0.0000077171135,0.00018478443],"genre_scores_gemma":[0.9984453,0.0006141096,0.0002925212,0.000058404075,0.00007705562,0.000034597586,0.00024374734,0.000018968844,0.00021531379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99855727,0.00013148766,0.00031533616,0.00046386875,0.0001307222,0.0004013444],"domain_scores_gemma":[0.9993303,0.00001577472,0.00013436071,0.00024228301,0.00020025326,0.0000770432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001925265,0.0001783279,0.000268299,0.000045213128,0.00003595793,0.000009867804,0.00020440294,0.00015780237,0.000034690765],"category_scores_gemma":[0.00005509165,0.00018052953,0.00004766031,0.00026078112,0.000505302,0.000037466187,0.00008974667,0.00012614795,0.0000023746218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007205183,0.000044426164,0.13509774,0.00005260831,0.0000036216231,0.0000016483053,0.00007099166,0.00079484767,0.86332864,0.0001992094,0.00008722458,0.00024697426],"study_design_scores_gemma":[0.0006114654,0.00017154308,0.0058003105,0.000074517426,0.000006250757,0.000008109926,0.00014108025,0.020206518,0.97241926,0.00029348745,0.00006553594,0.00020190155],"about_ca_topic_score_codex":0.00061657303,"about_ca_topic_score_gemma":0.00012219649,"teacher_disagreement_score":0.12929744,"about_ca_system_score_codex":0.000108786306,"about_ca_system_score_gemma":0.00023544775,"threshold_uncertainty_score":0.7361781},"labels":[],"label_agreement":null},{"id":"W2924032380","doi":"10.1097/rli.0000000000000557","title":"Single-Center Retrospective Analysis of Breakthrough Allergic-Like Reactions to Gadobutrol","year":2019,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Drug-Induced Adverse Reactions","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":"Ottawa Hospital","funders":"","keywords":"Gadobutrol; Medicine; Premedication; Magnetic resonance imaging; Nuclear medicine; Radiology; Anesthesia","score_opus":0.033088638807973955,"score_gpt":0.2867605524053298,"score_spread":0.25367191359735586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924032380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95012313,0.000022302023,0.00024546857,0.002585282,0.0004991907,0.00069964177,0.00009812286,0.00009144789,0.04563542],"genre_scores_gemma":[0.99356204,0.000012505745,0.0023972902,0.0014192656,0.00010942717,0.000051190185,0.00011615019,0.000031760992,0.002300386],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981013,0.00017867316,0.00050208205,0.0005915353,0.00024364263,0.000382755],"domain_scores_gemma":[0.998164,0.000240128,0.0002741816,0.00063905405,0.00036050772,0.00032212795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018744303,0.00024767275,0.000998033,0.00083063915,0.000059341524,0.000006436389,0.00013017333,0.00020530792,0.00021737255],"category_scores_gemma":[0.00040659294,0.00022996176,0.00034692336,0.0018613506,0.00045509718,0.00013686027,0.00005932073,0.00039048668,0.00030314748],"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":[0.000072508476,0.0006589145,0.30352247,0.000038229533,0.007188517,0.00003653301,0.0029363325,0.0008743246,0.67661834,0.0061642425,0.0013006703,0.0005889414],"study_design_scores_gemma":[0.0019859164,0.0005903114,0.9241173,0.00010364331,0.0017851379,0.00029851127,0.00095922,0.00045444557,0.011413326,0.0006955707,0.057252076,0.00034451022],"about_ca_topic_score_codex":0.00022966403,"about_ca_topic_score_gemma":0.00010381918,"teacher_disagreement_score":0.665205,"about_ca_system_score_codex":0.0006108073,"about_ca_system_score_gemma":0.00015750827,"threshold_uncertainty_score":0.93775684},"labels":[],"label_agreement":null},{"id":"W2924308358","doi":"10.1097/rli.0000000000000553","title":"Breast Cancer Assessment With Pulse-Echo Speed of Sound Ultrasound From Intrinsic Tissue Reflections","year":2019,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universitätsspital Zürich","keywords":"Medicine; Ultrasound; Breast cancer; Fibroadenoma; Receiver operating characteristic; Breast tissue; Prospective cohort study; Breast imaging; Mammography; Cancer; Radiology; Nuclear medicine; Pathology; Internal medicine","score_opus":0.01920216699735785,"score_gpt":0.3122058488064893,"score_spread":0.29300368180913144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924308358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99059117,0.0002813061,0.0006396436,0.0013688608,0.00035469994,0.00042078854,0.0001888152,0.00007544212,0.006079276],"genre_scores_gemma":[0.98851544,0.00007660113,0.009961502,0.00063670496,0.0002556222,0.000026278673,0.000120021796,0.000034628672,0.0003731816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854666,0.00015865,0.0003107954,0.00045191968,0.00020152472,0.0003304493],"domain_scores_gemma":[0.99857986,0.0004047228,0.00020175183,0.00038415164,0.00022432547,0.00020519385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012807753,0.00024320018,0.0006047761,0.00022191924,0.000074922704,0.000014374676,0.000116090894,0.00013171934,0.00086807815],"category_scores_gemma":[0.000053794254,0.00018758792,0.000076525044,0.0005326735,0.0012025165,0.0001133056,0.000018904602,0.00046157103,0.00004604435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014539198,0.000090262016,0.58065003,0.00003055124,0.00047708154,0.0000043567966,0.0008108441,0.00006439524,0.4165106,0.0003977626,0.00039617674,0.00042255936],"study_design_scores_gemma":[0.0022454783,0.0010123714,0.97098887,0.00022293172,0.00032499942,0.0012269884,0.0008283138,0.000017146107,0.015333585,0.005283151,0.0022231136,0.00029303948],"about_ca_topic_score_codex":0.0022087465,"about_ca_topic_score_gemma":0.00021455875,"teacher_disagreement_score":0.40117702,"about_ca_system_score_codex":0.00015071119,"about_ca_system_score_gemma":0.00033782504,"threshold_uncertainty_score":0.9504847},"labels":[],"label_agreement":null},{"id":"W2928219040","doi":"10.1097/rli.0000000000000558","title":"A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach","year":2019,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Institute of Cancer Research; University of Toronto","funders":"Radiological Society of North America","keywords":"Effective diffusion coefficient; Medicine; Receiver operating characteristic; Prostate cancer; Magnetic resonance imaging; Cancer; Confidence interval; Nuclear medicine; Biopsy; Prostate; Histopathology; Diffusion MRI; Area under the curve; Gold standard (test); Radiology; Pathology; Internal medicine","score_opus":0.03141067843222212,"score_gpt":0.28989214464654894,"score_spread":0.2584814662143268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928219040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98464394,0.012285746,0.00018194463,0.00016092672,0.000058530128,0.0025542278,0.000028059212,0.000021705308,0.00006492815],"genre_scores_gemma":[0.9962864,0.00029291312,0.0026139366,0.00016098512,0.0000132310315,0.0005227681,0.000043828986,0.000025767815,0.000040175895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857944,0.00024656983,0.00029362648,0.0004960548,0.00016947307,0.0002148091],"domain_scores_gemma":[0.99893785,0.00019479243,0.0002886354,0.00019275659,0.00029040768,0.00009557875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012002209,0.00020539165,0.00047727415,0.00020145775,0.00004655488,0.000012655264,0.00004765955,0.000043240136,0.000013769441],"category_scores_gemma":[0.000117266594,0.00014928282,0.000022776321,0.00046380237,0.00048375703,0.00012702806,0.000031875104,0.00011080608,0.0000019349964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079763023,0.0013974047,0.97731984,0.00017273541,0.00009906473,0.000025465943,0.009044825,0.00115671,0.0024964025,0.000081345854,0.000017342829,0.0073912474],"study_design_scores_gemma":[0.015608019,0.012920383,0.91690016,0.00093273,0.0003765595,0.00005996831,0.005468063,0.02489156,0.022238817,0.0001285056,0.00016347526,0.00031177956],"about_ca_topic_score_codex":0.00037469214,"about_ca_topic_score_gemma":0.00002437071,"teacher_disagreement_score":0.060419686,"about_ca_system_score_codex":0.000150618,"about_ca_system_score_gemma":0.00009426446,"threshold_uncertainty_score":0.6087577},"labels":[],"label_agreement":null},{"id":"W2938112630","doi":"10.1097/rli.0000000000000569","title":"Targeted Biopsy Validation of Peripheral Zone Prostate Cancer Characterization With Magnetic Resonance Fingerprinting and Diffusion Mapping","year":2019,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Effective diffusion coefficient; Prostate cancer; Medicine; Magnetic resonance imaging; Biopsy; Prostatitis; Prostate; Diffusion MRI; Cancer; Radiology; Nuclear medicine; Pathology; Internal medicine","score_opus":0.012877481637912384,"score_gpt":0.23461850238359544,"score_spread":0.22174102074568305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938112630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99582195,0.0021771633,0.00008298656,0.0010077427,0.00007636572,0.0007264692,0.00003411783,0.000023374583,0.00004980643],"genre_scores_gemma":[0.9966034,0.00080144254,0.0018417025,0.00020575705,0.00003937414,0.00013049097,0.00013117942,0.000017014725,0.00022962774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991563,0.00006812457,0.00021720798,0.00029414892,0.0000907194,0.00017348687],"domain_scores_gemma":[0.99947107,0.000038831364,0.0001845342,0.00012313164,0.000112322625,0.00007008505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008038922,0.00013803774,0.00032065352,0.00007338789,0.000040341794,0.000007306558,0.000027217198,0.000057899357,0.00007096328],"category_scores_gemma":[0.000028644787,0.00010452181,0.000019460547,0.00017625732,0.00027767257,0.00008380122,0.000024475565,0.000089749425,0.0000020452517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099239565,0.00002437224,0.56748766,0.00008916067,0.000022115924,0.00000587611,0.0015335509,0.000008937319,0.42345783,0.000069294336,0.0000034155457,0.0071985694],"study_design_scores_gemma":[0.0017284319,0.00079398346,0.90554214,0.0005448006,0.00003597052,0.000043300744,0.000117708696,0.000675484,0.0898728,0.000054836986,0.00048268877,0.00010783493],"about_ca_topic_score_codex":0.000101347,"about_ca_topic_score_gemma":0.000003658693,"teacher_disagreement_score":0.33805454,"about_ca_system_score_codex":0.00009141065,"about_ca_system_score_gemma":0.00009218339,"threshold_uncertainty_score":0.42622757},"labels":[],"label_agreement":null},{"id":"W3014712060","doi":"10.1097/rli.0000000000000667","title":"Variability and Standardization of Quantitative Imaging","year":2020,"lang":"en","type":"letter","venue":"Investigative Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"North York General Hospital","funders":"","keywords":"Standardization; General hospital; Library science; Regional science; Geography; Political science; Family medicine; Medicine; Computer science; Law","score_opus":0.04552947073195631,"score_gpt":0.31387186923043364,"score_spread":0.26834239849847735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014712060","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":[0.0030951768,0.00078803336,0.005912383,0.9873491,0.00028253943,0.0006688659,0.00038970818,0.000058282836,0.0014558971],"genre_scores_gemma":[0.02519319,0.00067704957,0.031518668,0.94029313,0.0014074219,0.00011337512,0.00065497844,0.00008358025,0.00005858267],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776006,0.0006906188,0.00047979906,0.00060718774,0.00022753197,0.00023479197],"domain_scores_gemma":[0.99742126,0.0014324089,0.00040239972,0.00030470497,0.0003237895,0.00011541881],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003067153,0.000281222,0.0010384789,0.00014293403,0.000039551083,0.000006949319,0.00010102671,0.0003445719,0.0001146147],"category_scores_gemma":[0.0019909707,0.00026042838,0.00009054565,0.00023349108,0.0026636848,0.000058752776,0.00007037524,0.0011478406,0.000005661465],"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":[0.000058331032,0.000010169343,0.03682714,0.00088789436,0.0002649731,0.0002188455,0.0011620767,0.000009356449,0.0013550303,0.0011465482,0.9578839,0.0001757427],"study_design_scores_gemma":[0.0018886452,0.0012608613,0.011789542,0.00093564816,0.000959102,0.0003037903,0.00018175066,0.00076779834,0.008812854,0.059519935,0.91294336,0.0006367309],"about_ca_topic_score_codex":0.000045339475,"about_ca_topic_score_gemma":0.0000014680048,"teacher_disagreement_score":0.058373388,"about_ca_system_score_codex":0.00019511126,"about_ca_system_score_gemma":0.0004756959,"threshold_uncertainty_score":0.9999848},"labels":[],"label_agreement":null},{"id":"W3038197277","doi":"10.1097/rli.0000000000000698","title":"Inversion Recovery Susceptibility Weighted Imaging With Enhanced T2 Weighting at 3 T Improves Visualization of Subpial Cortical Multiple Sclerosis Lesions","year":2020,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Innovation and Economic Development Trois Rivières","funders":"National Institutes of Health","keywords":"Fluid-attenuated inversion recovery; Magnetic resonance imaging; Multiple sclerosis; Lesion; White matter; Medicine; Nuclear medicine; Cerebrospinal fluid; Nuclear magnetic resonance; Pathology; Radiology; Physics","score_opus":0.07256477587024587,"score_gpt":0.29903400288428567,"score_spread":0.2264692270140398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038197277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99268997,0.00015628217,0.0031489313,0.0026351144,0.00007969304,0.0008675112,0.000039434366,0.00011726036,0.0002657999],"genre_scores_gemma":[0.9938022,0.00018298611,0.004785678,0.0008006612,0.00018295913,0.000051318333,0.00012987382,0.000037997237,0.000026354594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710876,0.0006193645,0.0006112801,0.00073477346,0.0004172216,0.00050859305],"domain_scores_gemma":[0.9972798,0.0011231496,0.00031007128,0.0002974671,0.0005090453,0.00048042953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035255504,0.0002984687,0.0007877811,0.00014603451,0.00030569092,0.000010746482,0.00015103775,0.00014048265,0.0001201237],"category_scores_gemma":[0.0056489175,0.00023067137,0.00013141707,0.00057934877,0.0024284457,0.00018915671,0.0002805361,0.00038849466,0.000021980695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012483596,0.000078370096,0.2207744,0.0001503794,0.00013123071,0.0000067218657,0.0017453881,0.000014036864,0.77376795,0.00006275451,0.00060608616,0.0014143313],"study_design_scores_gemma":[0.0029846362,0.0012642001,0.38065127,0.00023398268,0.00008574855,0.000007194545,0.000589067,0.016282946,0.5975538,0.00007488505,0.00006498661,0.00020729969],"about_ca_topic_score_codex":0.00013870854,"about_ca_topic_score_gemma":0.00010284605,"teacher_disagreement_score":0.17621414,"about_ca_system_score_codex":0.0003063138,"about_ca_system_score_gemma":0.00024531755,"threshold_uncertainty_score":0.9406505},"labels":[],"label_agreement":null},{"id":"W3040972323","doi":"10.1097/rli.0000000000000702","title":"Evaluation of the Reproducibility of Bolus Transit Quantification With Contrast-Enhanced Ultrasound Across Multiple Scanners and Analysis Software Packages—A Quantitative Imaging Biomarker Alliance Study","year":2020,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reproducibility; Bolus (digestion); Ultrasound; Scanner; Nuclear medicine; Medicine; Biomedical engineering; Imaging phantom; Mean transit time; Contrast-enhanced ultrasound; Software; Radiology; Perfusion; Computer science; Perfusion scanning; Mathematics; Surgery; Statistics; Artificial intelligence","score_opus":0.06449956299705535,"score_gpt":0.3317317683659831,"score_spread":0.2672322053689278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040972323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727032,0.00075301324,0.023807205,0.0012557923,0.00004984005,0.0012698857,0.00011321087,0.00003246743,0.000015362783],"genre_scores_gemma":[0.99553466,0.000016248821,0.0041262154,0.00018958232,0.000014778315,0.000053915603,0.000046486544,0.000015477697,0.000002615083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996637,0.0011831379,0.00051580276,0.0009842084,0.000456327,0.00022350879],"domain_scores_gemma":[0.9965571,0.0007676381,0.00047546165,0.0007390786,0.001341068,0.00011961491],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0028057643,0.00020245193,0.0006814516,0.00007817656,0.00012832749,0.000011323673,0.00012758646,0.000050941224,0.000007308807],"category_scores_gemma":[0.011002268,0.00014130674,0.00013908437,0.001474331,0.0025772022,0.00010419125,0.000018072147,0.00019980475,4.3056087e-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":[0.0003658029,0.00012795566,0.67276984,0.000046518453,0.0013883355,3.7305838e-7,0.017574873,0.00081350055,0.3057536,0.0000057558673,0.000013881686,0.0011395435],"study_design_scores_gemma":[0.0024206461,0.0003983162,0.9353824,0.000058248817,0.0025872255,0.000009115252,0.010050072,0.005137469,0.043659605,0.00015957054,0.000004869884,0.00013244756],"about_ca_topic_score_codex":0.00026631926,"about_ca_topic_score_gemma":0.00027130835,"teacher_disagreement_score":0.26261255,"about_ca_system_score_codex":0.00004692414,"about_ca_system_score_gemma":0.00018175863,"threshold_uncertainty_score":0.99732846},"labels":[],"label_agreement":null},{"id":"W3048708260","doi":"10.1097/rli.0000000000000716","title":"Proof of Concept: Phantom Study to Ensure Quality and Safety of Portable Chest Radiography Through Glass During the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Digital Radiography and Breast Imaging","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":"Michener Institute","funders":"","keywords":"Radiography; Imaging phantom; Medicine; Nuclear medicine; Radiology","score_opus":0.08864141288408055,"score_gpt":0.34168142818053143,"score_spread":0.25304001529645087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048708260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895738,0.0011246386,0.00064267125,0.0064154426,0.00004771069,0.0013561284,0.00015712,0.000053942324,0.0006285917],"genre_scores_gemma":[0.9956837,0.000028837763,0.000474205,0.0036412838,0.000089713154,0.000033586333,0.000016982814,0.0000178165,0.000013869894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977825,0.00046070552,0.00072594656,0.00047440268,0.0002476396,0.00030877732],"domain_scores_gemma":[0.998272,0.00048548807,0.00036624094,0.00030423107,0.00013261913,0.0004394402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062213757,0.00024632775,0.0009356846,0.00012230978,0.000106021624,0.000008812682,0.00020218072,0.000075315125,0.00001766474],"category_scores_gemma":[0.0010692686,0.00017302534,0.00016968088,0.0010138293,0.0023140695,0.00014409106,0.00009603895,0.00028650524,4.5926328e-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":[0.00085535937,0.00021402763,0.95806164,0.00038288563,0.0005914878,0.000032255546,0.024321374,0.00009729965,0.013800006,0.00088014756,0.00024353388,0.0005199709],"study_design_scores_gemma":[0.004192394,0.0020861626,0.96777797,0.000084473446,0.00022984589,0.0004109467,0.0072880792,0.000021282995,0.014746971,0.0016284965,0.0012738807,0.00025950084],"about_ca_topic_score_codex":0.0003020949,"about_ca_topic_score_gemma":0.000024836341,"teacher_disagreement_score":0.017033294,"about_ca_system_score_codex":0.000038335886,"about_ca_system_score_gemma":0.00019640183,"threshold_uncertainty_score":0.8526285},"labels":[],"label_agreement":null},{"id":"W3091938656","doi":"10.1097/rli.0000000000000730","title":"Bone Marrow Reconversion With Reambulation","year":2020,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Hematocrit; Nuclear medicine; Bone marrow; Lumbar; Internal medicine; Surgery","score_opus":0.04133325719693087,"score_gpt":0.2492969318470313,"score_spread":0.20796367465010043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091938656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96224844,0.0002484517,0.00017268628,0.033238336,0.000038685277,0.00023890467,0.0000068544705,0.00009735621,0.003710273],"genre_scores_gemma":[0.9854577,0.00002386286,0.0026681225,0.011334516,0.00019125479,0.000010585504,0.00007418188,0.000014129162,0.00022565485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931467,0.00007870698,0.0001426758,0.00023751635,0.00008371085,0.0001427152],"domain_scores_gemma":[0.9994084,0.00005055662,0.000070950104,0.000110739864,0.000061128405,0.00029819776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048494778,0.00010508979,0.00026863444,0.00004092925,0.00003965601,0.0000034641591,0.000027131575,0.000073668576,0.00023050913],"category_scores_gemma":[0.00018695918,0.00007913588,0.000040909676,0.00016117374,0.00038160567,0.00007039551,0.0000142925055,0.00014067422,0.00012514823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037600242,0.00015347896,0.5275734,0.0003575909,0.0004162797,0.0013807189,0.0038962262,0.000060547794,0.31539792,0.006251534,0.13540468,0.0053475783],"study_design_scores_gemma":[0.011234845,0.010422965,0.78211534,0.00046075537,0.0007599516,0.0019551255,0.0014219539,0.003959852,0.10264311,0.00819852,0.0758772,0.00095040514],"about_ca_topic_score_codex":0.00001607497,"about_ca_topic_score_gemma":0.0000025234601,"teacher_disagreement_score":0.2545419,"about_ca_system_score_codex":0.00002911076,"about_ca_system_score_gemma":0.00011348198,"threshold_uncertainty_score":0.3227068},"labels":[],"label_agreement":null},{"id":"W3117240417","doi":"10.1097/rli.0000000000000750","title":"Empiric Switching of Gadolinium-Based Contrast Agents in Patients With History of Previous Immediate Hypersensitivity Reaction to GBCA","year":2020,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","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":"Ottawa Hospital","funders":"","keywords":"Premedication; Medicine; Diphenhydramine; Hypersensitivity reaction; Gadolinium; Radiology; Nuclear medicine; Internal medicine; Anesthesia; Histamine","score_opus":0.05449257101271786,"score_gpt":0.24961102537428714,"score_spread":0.19511845436156927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117240417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983729,0.000034898967,0.00055481965,0.0003557993,0.0001514428,0.00031216745,0.00004391099,0.000019927873,0.00015409157],"genre_scores_gemma":[0.9975131,0.0000015753303,0.0010928692,0.001325701,0.000027432894,0.000009394206,0.000018842968,0.000009311637,0.0000017718828],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863076,0.00041317494,0.0003490071,0.0002759107,0.00015875035,0.0001724026],"domain_scores_gemma":[0.99923116,0.00015443114,0.00024953522,0.00011872759,0.00011954839,0.00012659439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023011326,0.00012993424,0.0004450011,0.000097956094,0.000016174281,0.0000020877721,0.00009741751,0.000054004136,0.00002570894],"category_scores_gemma":[0.00022114675,0.00010746014,0.000038170434,0.00016522939,0.00026471735,0.00010502565,0.000017180075,0.000107248714,0.000013224815],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004997526,0.00007989506,0.047096346,0.00007091646,0.00001492338,0.000008367089,0.0022470383,0.00032482125,0.9494044,0.000077007106,0.00009772837,0.00007880947],"study_design_scores_gemma":[0.002238087,0.0012680762,0.6999012,0.000091483234,0.000043083706,0.000002494183,0.00007122385,0.00032340817,0.29558033,0.00018982869,0.0000937301,0.00019705783],"about_ca_topic_score_codex":0.00022255718,"about_ca_topic_score_gemma":0.000052908184,"teacher_disagreement_score":0.6538241,"about_ca_system_score_codex":0.00010300572,"about_ca_system_score_gemma":0.00016575055,"threshold_uncertainty_score":0.43820974},"labels":[],"label_agreement":null},{"id":"W3180099199","doi":"10.1097/rli.0000000000000809","title":"Impact of Field Strength in Clinical Cardiac Magnetic Resonance Imaging","year":2021,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Field (mathematics); Cardiac magnetic resonance; Medicine; Field strength; Magnetic field; Radiology; Physics; Mathematics","score_opus":0.060839677321691814,"score_gpt":0.4160747361457578,"score_spread":0.355235058824066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180099199","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":[0.0018220668,0.99537617,0.000003855713,0.000117899996,0.0006389066,0.00052039075,0.00015926613,0.0000254197,0.0013360193],"genre_scores_gemma":[0.00066904176,0.99749225,0.00069946196,0.00019686695,0.0005270147,0.00005610202,0.00021747511,0.000049868246,0.00009191606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605197,0.0013974407,0.0013363794,0.00063630997,0.00015556598,0.00042231425],"domain_scores_gemma":[0.9933359,0.0051979753,0.00038824664,0.00066285324,0.00016239723,0.00025262943],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070600776,0.00043612678,0.004646614,0.0002922952,0.00001891346,0.000008674703,0.00015681627,0.00042681184,0.00006815222],"category_scores_gemma":[0.009677157,0.00035309314,0.0017893799,0.00053809816,0.00094517163,0.000029762377,0.0001137822,0.0012843973,0.00001829425],"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":[0.0000101887945,0.0000781211,0.22182082,0.0012643015,0.00016166676,0.00039434017,0.00006082488,4.868453e-7,9.899825e-7,0.00013427377,0.011316238,0.76475775],"study_design_scores_gemma":[0.0011873032,0.0009812706,0.14895263,0.029146662,0.0019606394,0.0006274177,0.000039640083,0.000017077977,0.0000073146953,0.00019530582,0.8163152,0.0005695355],"about_ca_topic_score_codex":0.0002321126,"about_ca_topic_score_gemma":0.0000037604673,"teacher_disagreement_score":0.80499893,"about_ca_system_score_codex":0.00021023677,"about_ca_system_score_gemma":0.002178424,"threshold_uncertainty_score":0.9998921},"labels":[],"label_agreement":null},{"id":"W4224236499","doi":"10.1097/rli.0000000000000875","title":"Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study","year":2022,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Contrast (vision); Deep learning; Generative adversarial network; Computed tomography; Generative grammar; Adversarial system; Reduction (mathematics); Image (mathematics)","score_opus":0.018992643116873154,"score_gpt":0.2463947779281937,"score_spread":0.22740213481132054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224236499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533516,0.00060209364,0.003076052,0.000010545727,0.00042388617,0.00041002483,0.0000029011092,0.00011131933,0.000028006107],"genre_scores_gemma":[0.9926214,0.0000014220659,0.006842974,0.00002973183,0.00031759896,0.00011987781,0.00003399068,0.0000326256,3.80197e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981771,0.0007332719,0.00026981824,0.00033064437,0.00011700063,0.0003721405],"domain_scores_gemma":[0.99966043,0.000077453966,0.000067716865,0.000089897556,0.000024648361,0.000079832316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023350884,0.00020754027,0.00033756072,0.00023334852,0.0001949693,0.000012806488,0.00011381754,0.000044226017,0.00002079842],"category_scores_gemma":[0.000018758705,0.00022721813,0.000023010121,0.00071346626,0.000285653,0.00026335576,0.000049658654,0.0006698376,3.24331e-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":[0.00019964516,0.00008673158,0.06894115,0.0000018861144,0.000038993207,0.00008361276,0.022833584,0.8504505,0.05709028,0.00013370723,0.000003551017,0.00013636278],"study_design_scores_gemma":[0.005189716,0.0023931935,0.07596582,0.00003288198,0.000027254502,0.00018945466,0.07306901,0.8349087,0.0069475174,0.00060388754,0.000024997062,0.00064750446],"about_ca_topic_score_codex":0.000060960116,"about_ca_topic_score_gemma":0.00019494616,"teacher_disagreement_score":0.05023543,"about_ca_system_score_codex":0.0002938965,"about_ca_system_score_gemma":0.000033497294,"threshold_uncertainty_score":0.9265687},"labels":[],"label_agreement":null},{"id":"W4224280391","doi":"10.1097/rli.0000000000000867","title":"From Dose Reduction to Contrast Maximization","year":2022,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Reduction (mathematics); Contrast (vision); Maximization; Computer science; Mathematics; Artificial intelligence; Mathematical optimization","score_opus":0.029866750053642137,"score_gpt":0.27443308883608214,"score_spread":0.24456633878244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224280391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98472387,0.00021546402,0.000093830706,0.013479799,0.00041221068,0.00045574206,0.00006727625,0.000051383453,0.00050042814],"genre_scores_gemma":[0.99484426,0.0000076147044,0.002293067,0.0018321852,0.00024334341,0.00035611543,0.00031544312,0.0000133825315,0.0000945665],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991366,0.0001715518,0.00015702356,0.00027501033,0.00010879712,0.00015100633],"domain_scores_gemma":[0.9995105,0.00006094001,0.000059454764,0.00016343921,0.000043803426,0.00016181055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080403515,0.00009923728,0.00022572956,0.00011032617,0.00013000866,0.000004934254,0.00004776215,0.00003532048,0.00062008004],"category_scores_gemma":[0.0001171089,0.000090920454,0.000042453885,0.00022533633,0.00013140935,0.000027410664,0.000044217064,0.00012178185,0.000059207996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007828441,0.0009146918,0.0850249,0.000011887108,0.00070834346,0.0005291732,0.009479819,0.004571589,0.78133404,0.00937082,0.09565244,0.011619431],"study_design_scores_gemma":[0.010436412,0.004933416,0.7182878,0.000056717407,0.00048849714,0.0016926901,0.004211812,0.0010954132,0.17377953,0.03519085,0.04925473,0.00057210884],"about_ca_topic_score_codex":0.0002912706,"about_ca_topic_score_gemma":0.000005726176,"teacher_disagreement_score":0.63326293,"about_ca_system_score_codex":0.00022454791,"about_ca_system_score_gemma":0.00006741521,"threshold_uncertainty_score":0.6789442},"labels":[],"label_agreement":null},{"id":"W4224440881","doi":"10.1097/rli.0000000000000879","title":"Assessing the Sensitivity of Dual-Energy Computed Tomography 3-Material Decomposition for the Detection of Gout","year":2022,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Calgary; Western University; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Sensitivity (control systems); Computed tomography; Digital Enhanced Cordless Telecommunications; Modality (human–computer interaction); Gout","score_opus":0.026065968270302078,"score_gpt":0.29299868823755243,"score_spread":0.2669327199672504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224440881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621408,0.00022525882,0.03489266,0.0015112113,0.0006164216,0.0004505887,0.000070369766,0.000032722037,0.000059957027],"genre_scores_gemma":[0.99762845,0.0000044905732,0.0013576457,0.0005942443,0.0002219519,0.0001049235,0.00006541967,0.000016697875,0.0000061761184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979403,0.0011230748,0.0003505183,0.00021866248,0.00018169473,0.00018577269],"domain_scores_gemma":[0.9975429,0.0015997278,0.00038701537,0.00027062916,0.00015450348,0.000045222656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009901922,0.00013409705,0.0003804758,0.00011752562,0.00032627152,0.000008049971,0.0000891432,0.00007698513,0.000015292242],"category_scores_gemma":[0.0002619025,0.00008751308,0.00014603577,0.00038668045,0.0009998266,0.00006324426,0.00009734858,0.00021405252,2.11706e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019387885,0.000069298745,0.0023487634,0.000038750146,0.00033625937,0.000008232278,0.0007822557,0.0010505986,0.9916686,0.001118189,0.00020117336,0.0021840208],"study_design_scores_gemma":[0.0016809363,0.0015100875,0.15339811,0.00004406954,0.0006254655,0.001371188,0.0016451995,0.03940483,0.7948764,0.0038094756,0.0014459054,0.00018835468],"about_ca_topic_score_codex":0.00032905335,"about_ca_topic_score_gemma":0.000016906297,"teacher_disagreement_score":0.1967922,"about_ca_system_score_codex":0.00008425916,"about_ca_system_score_gemma":0.00011187135,"threshold_uncertainty_score":0.36839026},"labels":[],"label_agreement":null},{"id":"W4225557484","doi":"10.1097/rli.0000000000000870","title":"Semiquantitative 3T Brain Magnetic Resonance Imaging for Dynamic Visualization of the Glymphatic-Lymphatic Fluid Transport System in Humans","year":2022,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glymphatic system; Fluid-attenuated inversion recovery; Magnetic resonance imaging; Lymphatic system; Cerebrospinal fluid; Interstitial fluid; White matter; Medicine; Pathology; Nuclear medicine; Radiology","score_opus":0.021931516347751714,"score_gpt":0.2795825494024563,"score_spread":0.2576510330547046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225557484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99408215,0.0016087478,0.0014678083,0.00079664955,0.00037374665,0.0011279782,0.00016691846,0.000052823973,0.00032319652],"genre_scores_gemma":[0.99798054,0.000011794839,0.00012866835,0.0012207349,0.000020859015,0.00037655805,0.000016927052,0.000033952052,0.00020999204],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974112,0.00082618796,0.00057995104,0.00054656056,0.0002671797,0.00036890543],"domain_scores_gemma":[0.9985523,0.000813419,0.00024911162,0.00027426882,0.000055121654,0.000055728757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005557068,0.00020991186,0.0004072129,0.00018883245,0.0004322846,0.000011218179,0.0005087062,0.000043418597,0.000032849934],"category_scores_gemma":[0.00076398294,0.0001860541,0.000114068556,0.0008036801,0.0011915055,0.00012271978,0.00008438189,0.00011599284,0.0000022333797],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012966458,0.00008130916,0.021747377,0.00020443687,0.0000051451084,0.000022043774,0.008179804,0.002161134,0.73100245,0.23592427,0.00016370343,0.0003786385],"study_design_scores_gemma":[0.0077413367,0.0023065608,0.2704178,0.0006637378,0.000127297,0.0004801499,0.006486092,0.45955303,0.19114628,0.05643608,0.003445376,0.0011962428],"about_ca_topic_score_codex":0.00009000201,"about_ca_topic_score_gemma":0.000076321616,"teacher_disagreement_score":0.5398562,"about_ca_system_score_codex":0.00041402844,"about_ca_system_score_gemma":0.0002813429,"threshold_uncertainty_score":0.75870657},"labels":[],"label_agreement":null},{"id":"W4401690696","doi":"10.1097/rli.0000000000001115","title":"Impact of the Novel MRI Contrast Agent Gadopiclenol on Radiotherapy Decision Making in Patients With Brain Metastases","year":2024,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Contrast (vision); Radiation therapy; Radiology; Computer science; Artificial intelligence","score_opus":0.023464878922250573,"score_gpt":0.3176653685593735,"score_spread":0.2942004896371229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401690696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994942,0.0008243285,0.001756028,0.0012448507,0.00014126237,0.0008321466,0.00017942666,0.00002186566,0.000058097008],"genre_scores_gemma":[0.9935026,0.000017148597,0.005380075,0.00095453917,0.00004579436,0.000030609677,0.000025510155,0.000028005947,0.000015709413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998626,0.00023736568,0.00030886935,0.00034757092,0.00022096682,0.0002592263],"domain_scores_gemma":[0.99864936,0.00079143024,0.00010382392,0.00031313073,0.000053185122,0.00008909896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025617995,0.00023092762,0.00048384324,0.00018201901,0.000039046572,0.000011598379,0.000100627956,0.00006988128,0.000090829744],"category_scores_gemma":[0.00021840946,0.00011273896,0.00017785262,0.00037771082,0.0005002031,0.00004704716,0.00002229635,0.00023288003,0.000004301026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022971728,0.0012350978,0.94774073,0.000087788656,0.0023709866,0.000161622,0.0016861097,0.002469802,0.0066019357,0.0050977855,0.0033821643,0.026868803],"study_design_scores_gemma":[0.004718029,0.00395762,0.98779476,0.000833946,0.00010875404,0.000056570905,0.00003017046,0.0003619419,0.0010892984,0.00058549084,0.0003462648,0.00011713573],"about_ca_topic_score_codex":0.00007715759,"about_ca_topic_score_gemma":0.000028142278,"teacher_disagreement_score":0.040054046,"about_ca_system_score_codex":0.00033829213,"about_ca_system_score_gemma":0.00021036528,"threshold_uncertainty_score":0.45973617},"labels":[],"label_agreement":null},{"id":"W4403209412","doi":"10.1097/rli.0000000000001120","title":"Decoding Brain Development and Aging","year":2024,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Neonatal and fetal brain pathology","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":"Montreal Heart Institute; Polytechnique Montréal","funders":"Japan Society for the Promotion of Science","keywords":"Decoding methods; Brain aging; Computer science; Neuroscience; Psychology; Cognition; Telecommunications","score_opus":0.0927116197457192,"score_gpt":0.3602167070223437,"score_spread":0.2675050872766245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403209412","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":[0.00022039603,0.99609065,0.000036678208,0.0011006485,0.00036589775,0.0005326866,0.000015126455,0.00010922151,0.0015286782],"genre_scores_gemma":[0.000021915763,0.98956376,0.005552058,0.0014562758,0.0003160991,0.00012624224,0.00015801434,0.000065581975,0.002740032],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980612,0.00023453457,0.0005571459,0.0006928992,0.00008733418,0.00036693018],"domain_scores_gemma":[0.99889994,0.0004733763,0.00014872248,0.00019354302,0.000026150014,0.0002582847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003667607,0.00045972655,0.0019186486,0.00036505202,0.00007771358,0.000014593236,0.00010864327,0.00043069173,0.000023368937],"category_scores_gemma":[0.0004210633,0.0003205459,0.0001832823,0.00026196838,0.0009586254,0.000032132935,0.00020972909,0.00082632777,0.0002918891],"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":[0.0000024714705,0.0000070341744,0.000011553112,0.015331466,0.00035587724,0.0011622603,0.00064726477,9.7538875e-9,0.000024923635,0.0038936792,0.0021432799,0.97642016],"study_design_scores_gemma":[0.00015669364,0.00009694131,0.000019253846,0.010073996,0.0006320905,0.009593168,0.000028400897,0.000003018066,0.000021227597,0.0018651211,0.9772213,0.0002887988],"about_ca_topic_score_codex":0.0000022785919,"about_ca_topic_score_gemma":0.000002558906,"teacher_disagreement_score":0.9761314,"about_ca_system_score_codex":0.00014709735,"about_ca_system_score_gemma":0.00056283904,"threshold_uncertainty_score":0.99992466},"labels":[],"label_agreement":null},{"id":"W4411325463","doi":"10.1097/rli.0000000000001217","title":"Abnormal Pancreaticobiliary Junction in Children","year":2025,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Pediatric Hepatobiliary Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Choledochal cysts; Pancreas divisum; Magnetic resonance cholangiopancreatography; Pancreatitis; Gastroenterology; Acute pancreatitis; Internal medicine; Retrospective cohort study; Complication; Cyst; Radiology; Endoscopic retrograde cholangiopancreatography; Pancreatic duct","score_opus":0.009260498905161089,"score_gpt":0.2645448913414167,"score_spread":0.2552843924362556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411325463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916633,0.0009566364,0.00003236249,0.0008910789,0.000118208925,0.0004843451,0.000011939622,0.000054243952,0.0057879044],"genre_scores_gemma":[0.99740833,0.00014564517,0.0003359348,0.0012930133,0.00008855529,0.00009026257,0.00011430145,0.000007693446,0.0005162868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999019,0.00013213405,0.00024883787,0.00029209696,0.00006618131,0.00024170493],"domain_scores_gemma":[0.9995009,0.000088495246,0.000044450782,0.00020152715,0.00003304084,0.0001315875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101630925,0.0001432925,0.0003362206,0.00023579087,0.000041231982,0.0000038095725,0.00005359804,0.000119132084,0.000060973904],"category_scores_gemma":[0.00022368775,0.00011965534,0.00007301919,0.00039217994,0.00029329932,0.000065100816,0.000029382842,0.00017013555,0.00004356725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088090375,0.00016607327,0.99470186,0.000017970851,0.00015093679,0.00004545565,0.00003574828,0.0000082124225,0.00021798263,0.0012012862,0.001700984,0.001665389],"study_design_scores_gemma":[0.0020820848,0.00017823752,0.99258685,0.000038715963,0.00015699965,0.00009240282,0.000020873256,0.00012715689,0.00037424982,0.004003422,0.0002587218,0.00008027063],"about_ca_topic_score_codex":0.00038295082,"about_ca_topic_score_gemma":0.000019628691,"teacher_disagreement_score":0.0057450267,"about_ca_system_score_codex":0.00016264952,"about_ca_system_score_gemma":0.00030744728,"threshold_uncertainty_score":0.4879403},"labels":[],"label_agreement":null},{"id":"W4412084516","doi":"10.1097/rli.0000000000001206","title":"Current Research and Development in the Field of Magnetic Resonance Contrast Media","year":2025,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gadolinium; Magnetic resonance imaging; Contrast (vision); Medicine; Medical physics; Computer science; Radiology; Materials science; Artificial intelligence","score_opus":0.08097079262217358,"score_gpt":0.42045542671146224,"score_spread":0.33948463408928864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412084516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278651,0.034974772,0.005674816,0.026722057,0.000062481726,0.0013372191,0.000007657224,0.000027988248,0.0033279164],"genre_scores_gemma":[0.9828306,0.00092866586,0.0148369195,0.0010305382,0.000023286711,0.0002848505,0.000006752735,0.000003276377,0.000055120923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99939287,0.00009142517,0.00017428347,0.00013991888,0.00007208438,0.00012940327],"domain_scores_gemma":[0.9986281,0.0011011137,0.000023254104,0.00013750425,0.00008136496,0.000028657405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035790683,0.000051017993,0.00014881293,0.00010164175,0.00004062703,0.000001646789,0.00008639299,0.00004666493,0.0000072878433],"category_scores_gemma":[0.00059612544,0.000034704583,0.0000074187756,0.00027518588,0.0007833542,0.000010374435,0.000035536767,0.00027588816,9.830429e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001386962,0.00025363482,0.10955179,0.00013200357,0.00000829947,0.000015864038,0.005875447,0.0000016789163,0.013068045,0.5133008,0.020230472,0.33742332],"study_design_scores_gemma":[0.0008903772,0.00043589907,0.5357765,0.00040296864,0.000007668407,0.000021456408,0.00064813765,0.000047228168,0.041247804,0.14192456,0.2785171,0.00008032473],"about_ca_topic_score_codex":0.000014289033,"about_ca_topic_score_gemma":0.000041438634,"teacher_disagreement_score":0.42622468,"about_ca_system_score_codex":0.00002508201,"about_ca_system_score_gemma":0.0001399637,"threshold_uncertainty_score":0.28863013},"labels":[],"label_agreement":null},{"id":"W4412592712","doi":"10.1097/rli.0000000000001219","title":"Back to the Future—Cardiovascular Imaging From 1966 to Today and Tomorrow","year":2025,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","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 Toronto","funders":"","keywords":"Vision; Imaging technology; Medicine; Medical imaging; Medical physics; Biomedical technology; Engineering ethics; Radiology; Sociology; Engineering","score_opus":0.006280194614610921,"score_gpt":0.21151187908144786,"score_spread":0.20523168446683693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412592712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68595433,0.043582126,0.21457691,0.036865316,0.0036258083,0.0011144534,0.00007960233,0.00041893843,0.01378253],"genre_scores_gemma":[0.9693937,0.00017081879,0.019782856,0.009401994,0.00079814915,0.00010968927,0.000014081392,0.00004063431,0.0002880932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989982,0.00011076296,0.00017750455,0.0003246307,0.00007146933,0.0003174021],"domain_scores_gemma":[0.999278,0.00014743592,0.000013611569,0.00038321532,0.000032943408,0.00014481321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655121,0.00020319852,0.0003170063,0.000096869626,0.00011173659,0.0000287143,0.00023296519,0.00005240362,0.000034160916],"category_scores_gemma":[0.00008492178,0.00016380899,0.00007748832,0.00032970912,0.00019056116,0.000097617696,0.00009972055,0.00023725594,0.00012995412],"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":[0.000078998564,0.000028085167,0.028210908,0.00017304586,0.0026891995,0.0001312584,0.017452987,0.36670145,0.115272835,0.03266154,0.14594257,0.29065713],"study_design_scores_gemma":[0.0005631388,0.000032050382,0.026034491,0.00012551149,0.00010473495,0.000039157105,0.0013266176,0.006469358,0.022007493,0.016791554,0.9259737,0.00053216016],"about_ca_topic_score_codex":0.00003938429,"about_ca_topic_score_gemma":0.00003196484,"teacher_disagreement_score":0.78003114,"about_ca_system_score_codex":0.00006370694,"about_ca_system_score_gemma":0.000020724563,"threshold_uncertainty_score":0.66799366},"labels":[],"label_agreement":null}]}