{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":23,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":23,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"bffb3a7e9182","filters":{"venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews"}},"results":[{"id":"W2932331745","doi":"10.2174/1573405615666190327102052","title":"One-year Follow-up Study of Hippocampal Subfield Atrophy in Alzheimer's Disease and Normal Aging","year":2019,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Inje University","keywords":"Subiculum; Atrophy; Hippocampal formation; Magnetic resonance imaging; Hippocampus; Neuroimaging; Medicine; Alzheimer's disease; Neuroscience; Alzheimer's Disease Neuroimaging Initiative; Dementia; Biomarker; Pathology; Disease; Internal medicine; Psychology; Cardiology; Radiology; Biology; Dentate gyrus","authors":[{"name":"Nuwan Madusanka","is_ca":false},{"name":"Heung‐Kook Choi","is_ca":false},{"name":"Jae-Hong So","is_ca":false},{"name":"Boo-Kyeong Choi","is_ca":false},{"name":"Hyeon Gyun Park","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03784019778078967,"gpt":0.3714110479174887,"spread":0.3335708501366991,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007772045,0.0002673969,0.0004585119,0.0008994931,0.0005936431,0.0003431719,0.0003326997,0.0004389192,0.00073511],"category_scores_gemma":[0.001600761,0.0001469948,0.0003704341,0.0005287051,0.0002373438,0.0004196447,0.0004238078,0.0004933016,0.0002338313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417225,"about_ca_system_score_gemma":0.0002158552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143232,"about_ca_topic_score_gemma":0.004754051,"domain_scores_codex":[0.9997652,0.00004430756,0.00002384381,0.00006528429,0.00005768686,0.00004370917],"domain_scores_gemma":[0.9988202,0.0001223381,0.000435697,0.00009555098,0.0002555614,0.0002706781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009048725,0.0001622683,0.9942898,0.00001810093,0.00009809922,0.0001415253,0.0001738417,0.00002294722,0.0008907201,0.000008591145,0.00006894208,0.003220214],"study_design_scores_gemma":[0.000004535539,0.0002471668,0.9994198,0.00000174057,0.00002776331,0.0001011085,0.00003580665,0.00001780935,0.00006799181,0.000007356959,0.00006719161,0.000001611054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992004,0.000379764,0.00005846348,0.00001281615,0.000005898647,0.00001209862,0.0001605568,0.00000309661,0.0001669107],"genre_scores_gemma":[0.9991035,0.000144946,0.0001084355,0.00001648163,0.00001022577,0.00001620939,0.0004220387,0.000001603849,0.0001765318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003143232,"threshold_uncertainty_score":0.006249845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3080929943","doi":"10.2174/1573405616999200817172649","title":"The Effect of Patellar Height by Using Insall Salvati Index on Pain, Function, Muscle Strength and Postural Stability in Patients with Primary Knee Osteoarthritis","year":2020,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Baskent Üniversitesi","keywords":"Medicine; Patella; Osteoarthritis; WOMAC; Visual analogue scale; Orthopedic surgery; Physical therapy; Knee pain; Biomechanics; Physical medicine and rehabilitation; Orthodontics; Surgery; Anatomy","authors":[{"name":"Pınar Doruk Analan","is_ca":false},{"name":"Hülya Özdemir","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01113538604652441,"gpt":0.2344586986185799,"spread":0.2233233125720555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003705821,0.0002943543,0.0004893767,0.0005858056,0.0003173675,0.000351203,0.0001586814,0.0003443222,0.001248186],"category_scores_gemma":[0.001595366,0.0001637421,0.0005702282,0.0004590179,0.000207353,0.0002311108,0.0002359666,0.0003459484,0.0001792145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671343,"about_ca_system_score_gemma":0.0001895223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468802,"about_ca_topic_score_gemma":0.003104795,"domain_scores_codex":[0.9996305,0.00009386896,0.00005720981,0.00006182187,0.000106152,0.00005041377],"domain_scores_gemma":[0.9991525,0.0001936815,0.000312809,0.0000264749,0.0001047129,0.0002097928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005328389,0.00009550461,0.9967383,0.00002184096,0.0000759739,0.000130143,0.00004556459,0.00002344408,0.0003602722,0.000003145696,0.00004035536,0.001932685],"study_design_scores_gemma":[0.00001825275,0.0007169145,0.998621,0.000004903767,0.00004319122,0.0003662628,0.0000603556,0.00007028333,0.00003592433,0.000005949509,0.00005411681,0.000002745381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987047,0.0008937878,0.00003106923,0.00002846329,0.000008547167,0.000007847099,0.00006157342,0.000001998881,0.0002619996],"genre_scores_gemma":[0.9996268,0.0001487217,0.00003799376,0.00001340868,0.0000142535,0.000005489265,0.00008227693,3.969935e-7,0.00007063095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468802,"threshold_uncertainty_score":0.004175603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391142191","doi":"10.2174/0115734056281578231212104108","title":"Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Usinga Self-defined Deep Learning Model","year":2024,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"AI in cancer detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; Gansu Education Department; Natural Science Foundation of Gansu Province; National Natural Science Foundation of China","keywords":"Bone metastasis; Artificial intelligence; Bone scintigraphy; Computer science; Deep learning; Feature (linguistics); Metastasis; Convolutional neural network; Feature extraction; Radiology; Lung cancer; Pattern recognition (psychology); Artificial neural network; Medicine; Cancer; Pathology; Internal medicine","authors":[{"name":"Yübo Wang","is_ca":false},{"name":"Qiang Lin","is_ca":false},{"name":"Shaofang Zhao","is_ca":false},{"name":"Xianwu Zeng","is_ca":false},{"name":"Bowen Zheng","is_ca":true},{"name":"Yongchun Cao","is_ca":false},{"name":"Zhengxing Man","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03420030895518114,"gpt":0.3473024023136423,"spread":0.3131020933584612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355373,0.000636334,0.0005607196,0.0007867669,0.0001703564,0.0004957613,0.0007274128,0.0007859733,0.000733884],"category_scores_gemma":[0.0009932852,0.0002285239,0.0006628158,0.0003436648,0.0002713457,0.0004559676,0.0003882289,0.0004847162,0.0003025234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007670044,"about_ca_system_score_gemma":0.0008494881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006248666,"about_ca_topic_score_gemma":0.006733681,"domain_scores_codex":[0.9997317,0.0000378092,0.00001860213,0.00007992286,0.00008551254,0.00004637068],"domain_scores_gemma":[0.9996069,0.0001162772,0.00006947502,0.00003483363,0.0001538636,0.00001870535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004428221,0.0004671027,0.02094264,0.000115708,0.0001886748,0.0003020667,0.00005840636,0.5385452,0.03948564,0.001308213,0.002342473,0.3958011],"study_design_scores_gemma":[0.000003851762,0.00002797622,0.0008178312,0.000002677325,0.0000111967,0.00002838685,0.000002918441,0.9955983,0.003173499,0.000233064,0.00009675201,0.000003558115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3385611,0.0006899757,0.6559669,0.0003848072,0.00007117797,0.0001174564,0.0003285598,0.001912835,0.001967157],"genre_scores_gemma":[0.9438787,0.0001813426,0.05362941,0.0001183604,0.00002446021,0.00006632906,0.0004288753,0.00002115565,0.001651483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006248666,"threshold_uncertainty_score":0.01242459,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206165301","doi":"10.2174/1573405618666220117151726","title":"Recent Advances in Classification of Brain Tumor from MR Images –State of the Art Review from 2017 to 2021","year":2022,"lang":"en","type":"review","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Artificial intelligence; Field (mathematics); Feature extraction; Domain (mathematical analysis); Brain tumor; Feature (linguistics); Inference; Machine learning; Pattern recognition (psychology); Medicine; Pathology","authors":[{"name":"Ghazanfar Latif","is_ca":true},{"name":"Faisal Yousif Al Anezi","is_ca":false},{"name":"D. N. F. Awang Iskandar","is_ca":false},{"name":"Abul Bashar","is_ca":false},{"name":"Jaafar Alghazo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0971697460961656,"gpt":0.4068188729162472,"spread":0.3096491268200816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120335,0.001074146,0.001427479,0.004369548,0.0003196778,0.001484186,0.001317054,0.001151389,0.00341968],"category_scores_gemma":[0.003382306,0.0004193834,0.001448547,0.004008464,0.00056861,0.002160095,0.0005899193,0.001107317,0.001735869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005049752,"about_ca_system_score_gemma":0.001343982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451227,"about_ca_topic_score_gemma":0.001856284,"domain_scores_codex":[0.9994417,0.00007858633,0.00009786908,0.0001508969,0.0001900675,0.00004094961],"domain_scores_gemma":[0.9979746,0.00110761,0.0002168894,0.00004561736,0.0005973388,0.00005793143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001078221,0.0001012112,0.001311945,0.01943737,0.0002249685,0.0002519872,0.0001256666,0.001052504,0.002409192,0.00176417,0.02622592,0.9469873],"study_design_scores_gemma":[0.00004083272,0.0006777093,0.01024969,0.01814291,0.002191627,0.005243416,0.0006346675,0.005303533,0.006156471,0.00654052,0.9446011,0.0002175687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008892771,0.9940004,0.002547536,0.0005680866,0.0004651141,0.00001702923,0.00008431128,0.00004405489,0.001384209],"genre_scores_gemma":[0.003996071,0.9913036,0.002552041,0.0004437348,0.0008719781,0.00002149892,0.0002537267,0.00001301448,0.0005443394],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004369548,"threshold_uncertainty_score":0.01143992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030448175","doi":"10.2174/157340506775541712","title":"Longitudinal Functional MRI of Motor and Cognitive Recovery Following Stroke: A Review","year":2006,"lang":"en","type":"review","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Functional magnetic resonance imaging; Stroke (engine); Cognition; Physical medicine and rehabilitation; Rehabilitation; Stroke recovery; Modalities; Neuroimaging; Magnetic resonance imaging; Motor imagery; Neuroscience; Electroencephalography; Psychology; Medicine; Brain–computer interface; Radiology","authors":[{"name":"Erin A. Douglas","is_ca":false},{"name":"Jodi D. Edwards","is_ca":false},{"name":"Bradley G. Goodyear","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05422169672752179,"gpt":0.3960989452368872,"spread":0.3418772485093654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001163566,0.0008592632,0.002390471,0.004340605,0.0002257721,0.0008829693,0.001262101,0.00129321,0.002453397],"category_scores_gemma":[0.002673021,0.0003627233,0.0006025445,0.004597987,0.0005591569,0.001751253,0.0003858469,0.0006390425,0.001442738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635763,"about_ca_system_score_gemma":0.001621317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809393,"about_ca_topic_score_gemma":0.00271726,"domain_scores_codex":[0.9995994,0.00008384133,0.0001090858,0.00007272821,0.0001152291,0.00001979953],"domain_scores_gemma":[0.9984617,0.000979625,0.0002260618,0.00002574489,0.0002607862,0.00004612141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008966487,0.00007074153,0.0006610111,0.03960495,0.0001578757,0.0004157402,0.00009099164,0.0001493938,0.0007303749,0.0005623875,0.01209165,0.9453752],"study_design_scores_gemma":[0.0001025142,0.000630142,0.0178014,0.0721981,0.001652645,0.01713287,0.000616615,0.0003059752,0.00157373,0.002538735,0.8853506,0.00009679815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009758737,0.9995135,0.00003687848,0.00007339501,0.00003968039,0.000003277944,0.000007760243,0.000002160864,0.000225656],"genre_scores_gemma":[0.0006264931,0.9990383,0.0001065332,0.00005918348,0.00005847646,0.000006099126,0.00001146335,6.184733e-7,0.00009291913],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004340605,"threshold_uncertainty_score":0.008207381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401835013","doi":"10.2174/0115734056317489240808094924","title":"Classification of Pneumonia via a Hybrid ZFNet-Quantum Neural Network Using a Chest X-ray Dataset","year":2024,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Artificial neural network; Pneumonia; Quantum; Computer science; Artificial intelligence; Pattern recognition (psychology); Medicine; Physics; Internal medicine; Quantum mechanics","authors":[{"name":"Tayyaba Shahwar","is_ca":false},{"name":"Fatma Mallek","is_ca":true},{"name":"Ateeq Ur Rehman","is_ca":false},{"name":"Muhammad Tariq Sadiq","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07737714842473764,"gpt":0.4105545278814598,"spread":0.3331773794567222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102804,0.00140793,0.001034893,0.001903423,0.0004780969,0.0008486644,0.001613977,0.00204361,0.001603926],"category_scores_gemma":[0.001716939,0.0002978108,0.001049394,0.001067958,0.0006114522,0.0007395233,0.0008994207,0.001096232,0.0006319378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295937,"about_ca_system_score_gemma":0.001216638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01740462,"about_ca_topic_score_gemma":0.01847628,"domain_scores_codex":[0.9991758,0.0001293115,0.00009318529,0.0002621792,0.000220314,0.0001190954],"domain_scores_gemma":[0.9992847,0.0002005212,0.00007414948,0.0001194696,0.0002395742,0.00008170371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004249745,0.003549361,0.1201558,0.001788251,0.001087859,0.004745789,0.0002251223,0.2774045,0.04225162,0.002049662,0.07210592,0.4703863],"study_design_scores_gemma":[0.0001582553,0.0004958713,0.03237533,0.00009312182,0.000109313,0.0007253123,0.0001676301,0.9448551,0.01655507,0.0009232512,0.00347731,0.000064387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413548,0.003231947,0.03012371,0.001676122,0.000404909,0.0004571169,0.01560178,0.003424431,0.003725359],"genre_scores_gemma":[0.9267226,0.0007460837,0.03326317,0.0004612883,0.0001603311,0.0002547154,0.03589952,0.00006524711,0.002427115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01740462,"threshold_uncertainty_score":0.03460664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3174837402","doi":"10.2174/1573405617666210628154218","title":"Computed Tomography in Emergency Diagnosis and Management Considerations of Small Bowel Obstruction for Surgical vs. Non-surgical Approach","year":2021,"lang":"en","type":"review","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Intestinal and Peritoneal Adhesions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Triage; Bowel obstruction; Radiology; Surgical emergency; Physical examination; Surgery; Intensive care medicine; Emergency medicine","authors":[{"name":"Saeed Taghavifar","is_ca":false},{"name":"Peter Joyce","is_ca":false},{"name":"Sana Salehi","is_ca":false},{"name":"Faisal Khosa","is_ca":true},{"name":"Heeseop Shin","is_ca":false},{"name":"Ali Gholamrezanezhad","is_ca":false},{"name":"Samad Shah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08281862502184266,"gpt":0.3918114452060302,"spread":0.3089928201841876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000582232,0.0004249187,0.000493099,0.002081376,0.0003525662,0.001117156,0.000489376,0.001187071,0.003108141],"category_scores_gemma":[0.005025225,0.0001928153,0.0004696621,0.001281306,0.0007123123,0.001119435,0.0004884609,0.001377332,0.0005869298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663201,"about_ca_system_score_gemma":0.001232751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704555,"about_ca_topic_score_gemma":0.001989492,"domain_scores_codex":[0.9994763,0.000190918,0.0001112758,0.00005345862,0.0001087608,0.00005929538],"domain_scores_gemma":[0.9982893,0.000939345,0.000384748,0.00002961326,0.0002477103,0.0001091856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006621839,0.0001465994,0.09105891,0.03585729,0.0004118942,0.1026404,0.002172226,0.001024676,0.002358828,0.01599192,0.1153936,0.6322814],"study_design_scores_gemma":[0.0001116661,0.0002510232,0.06078129,0.05797646,0.0007730017,0.5268562,0.004923639,0.0009890248,0.001396033,0.009987828,0.3358103,0.0001435656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01113779,0.9637348,0.001205288,0.01043585,0.001541051,0.0000881081,0.0002770379,0.00003382665,0.0115462],"genre_scores_gemma":[0.2295799,0.7506765,0.003543601,0.005828242,0.007921452,0.0001364499,0.0005231479,0.0000225369,0.001768238],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003108141,"threshold_uncertainty_score":0.01039779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040698806","doi":"10.2174/1573405616666200712181135","title":"FDG-PET/CT Radiomics Models for The Early Prediction of Locoregional Recurrence in Head and Neck Cancer","year":2020,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Guangxi Key Laboratory of Automatic Detection Technology and Instrument Foundation; Guilin University of Electronic Technology; National Natural Science Foundation of China; Natural Science Foundation of Guangxi Zhuang Autonomous Region","keywords":"Radiomics; Medicine; Head and neck cancer; Head and neck; Radiology; Artificial intelligence; Radiation therapy; Nuclear medicine; Computer science; Surgery","authors":[{"name":"Cong Hu","is_ca":false},{"name":"Peng Wang","is_ca":false},{"name":"Tian Zhou","is_ca":false},{"name":"Martin Vallières","is_ca":true},{"name":"Chuanpei Xu","is_ca":false},{"name":"Benxin Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0581821192958965,"gpt":0.3677688514984135,"spread":0.309586732202517,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001708583,0.0008062446,0.0006527985,0.001367284,0.000239566,0.0006030621,0.0006141674,0.0004877128,0.000761484],"category_scores_gemma":[0.002394397,0.0002462601,0.001325753,0.0004956708,0.0002063329,0.0003880739,0.0003828163,0.0004888207,0.0003736711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007022918,"about_ca_system_score_gemma":0.0005834892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008751666,"about_ca_topic_score_gemma":0.005851089,"domain_scores_codex":[0.9995806,0.0001309795,0.00002925252,0.000101758,0.0001003177,0.00005719201],"domain_scores_gemma":[0.9994292,0.0002540369,0.0001178188,0.00004071476,0.0001153007,0.00004291003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008410531,0.0003260357,0.1360837,0.00008185861,0.0004254641,0.0002477644,0.00007273985,0.7589176,0.00309383,0.0004477944,0.0009308229,0.09853143],"study_design_scores_gemma":[0.000008317382,0.0001155429,0.01271599,0.00001366865,0.00007553159,0.00007414595,0.00001571084,0.9858754,0.0005258139,0.000398397,0.0001719317,0.000009489766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8868344,0.002201755,0.1078065,0.0004301436,0.0000664236,0.00009188591,0.0005864658,0.0005790678,0.001403392],"genre_scores_gemma":[0.9946765,0.0001352133,0.004443162,0.00002428843,0.00001563803,0.0000298096,0.0003289117,0.000010992,0.000335592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008751666,"threshold_uncertainty_score":0.01740146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3213133939","doi":"10.2174/1573405617666211117143203","title":"Pyogenic and Non-pyogenic Spinal Infections: Diagnosis and Treatment","year":2021,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Infectious Diseases and Tuberculosis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Radiological weapon; Disease; Antibiotics; Intensive care medicine; Guideline; Neurology; Concomitant; Surgery; Conservative treatment; Antimicrobial; Pediatrics; Internal medicine; Pathology","authors":[{"name":"Nandan Marathe","is_ca":true},{"name":"Giuseppe Tedesco","is_ca":false},{"name":"Anna Maria Chiesa","is_ca":false},{"name":"Abhinandan Reddy Mallepally","is_ca":false},{"name":"Maddalena Di Carlo","is_ca":false},{"name":"Riccardo Ghermandi","is_ca":false},{"name":"Gisberto Evangelisti","is_ca":false},{"name":"Marco Girolami","is_ca":false},{"name":"Valerio Pipola","is_ca":false},{"name":"Alessandro Gasbarrini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03005574836646998,"gpt":0.365549277320335,"spread":0.335493528953865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007582378,0.0005618859,0.0009966984,0.001551901,0.0006884178,0.001286524,0.0007432912,0.001651466,0.002891003],"category_scores_gemma":[0.002463083,0.0002222334,0.0005626088,0.0006981887,0.0005524834,0.001133468,0.001025325,0.00237816,0.001670859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000741194,"about_ca_system_score_gemma":0.001782985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418724,"about_ca_topic_score_gemma":0.001856169,"domain_scores_codex":[0.9992378,0.0001596171,0.0001400319,0.00006405967,0.0002887427,0.0001097391],"domain_scores_gemma":[0.9993666,0.0001107205,0.0001632486,0.00002312815,0.0001797489,0.0001566277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001722389,0.0006351679,0.01442644,0.003002499,0.00004635676,0.01197147,0.0002779637,0.0007755819,0.003314487,0.003354176,0.05340352,0.9086201],"study_design_scores_gemma":[0.0001466051,0.001142002,0.1019627,0.02578433,0.0001869774,0.1734764,0.002301865,0.002587368,0.004724392,0.01613114,0.6713601,0.0001961598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02092244,0.8766605,0.01778359,0.0386614,0.002327002,0.0005843708,0.0003629874,0.0002484111,0.04244933],"genre_scores_gemma":[0.1719514,0.753615,0.03941482,0.01092681,0.01061013,0.0005859978,0.001346779,0.00007626619,0.01147268],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002891003,"threshold_uncertainty_score":0.00967139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3196792901","doi":"10.2174/1573405617666210908124704","title":"Progress and Challenges in Physiological Artifacts’ Detection in ElectroencephalographicReadings","year":2021,"lang":"en","type":"review","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"Ministry of Education, India","keywords":"Computer science; Artifact (error); Electroencephalography; Merge (version control); Artificial intelligence; Brain–computer interface; Brain activity and meditation; Signal processing; Pattern recognition (psychology); Neuroscience; Psychology; Digital signal processing","authors":[{"name":"Preeti Singh","is_ca":false},{"name":"Amandeep Bisht","is_ca":false},{"name":"Chamandeep Kaur","is_ca":false},{"name":"Sunil Agarwal","is_ca":false},{"name":"Manisha Ajmani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1426101824398941,"gpt":0.4027677474537711,"spread":0.260157565013877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007494103,0.001107302,0.001669966,0.002473127,0.0005099244,0.003953967,0.002151872,0.002268258,0.002779407],"category_scores_gemma":[0.01185279,0.0006183067,0.001274636,0.003026696,0.001807101,0.006058889,0.001346276,0.002498218,0.00165689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009235673,"about_ca_system_score_gemma":0.002417058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595721,"about_ca_topic_score_gemma":0.00111258,"domain_scores_codex":[0.9963825,0.0008880464,0.0004320746,0.000809196,0.0013261,0.0001619546],"domain_scores_gemma":[0.9813945,0.01283805,0.0008638309,0.0005748692,0.004103598,0.0002251221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000141102,0.00008867776,0.00175592,0.01529524,0.000114499,0.0002654617,0.0006181936,0.002322808,0.005952567,0.01449135,0.009015508,0.9499387],"study_design_scores_gemma":[0.00005499237,0.001164701,0.0125772,0.02146963,0.0007930688,0.005774151,0.003800076,0.02032478,0.02236241,0.06988781,0.8412899,0.0005011811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00409202,0.9585648,0.02880277,0.003801997,0.0008258537,0.00003576559,0.00009858729,0.0001312759,0.003647001],"genre_scores_gemma":[0.03451666,0.9365108,0.02267279,0.001704378,0.002531625,0.00007135585,0.0003334646,0.00007912033,0.00157989],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007494103,"threshold_uncertainty_score":0.0396331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318929711","doi":"10.2174/1573405619666230201103813","title":"Value of MRI T2 FLAIR Vascular Hyperintensities Combined with DWIASPECTS in Predicting the Prognosis of Acute Cerebral Infarction withEndovascular Treatment","year":2023,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Fluid-attenuated inversion recovery; Medicine; Hyperintensity; Receiver operating characteristic; Radiology; Stroke (engine); Modified Rankin Scale; Logistic regression; Magnetic resonance imaging; Ischemic stroke; Internal medicine; Ischemia","authors":[{"name":"Zhonghai Tao","is_ca":false},{"name":"Fang Zhou","is_ca":false},{"name":"Haojiang Zhang","is_ca":false},{"name":"Mingyue Qian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01939117653616428,"gpt":0.3052417598501379,"spread":0.2858505833139736,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001654825,0.0009774123,0.0004113453,0.001784662,0.000282022,0.0009026419,0.0003710126,0.0006177636,0.00107588],"category_scores_gemma":[0.004618911,0.0002407408,0.0005700377,0.000601914,0.0003544808,0.001053963,0.0004864272,0.0005003239,0.0003734877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327896,"about_ca_system_score_gemma":0.0004428829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292563,"about_ca_topic_score_gemma":0.002181262,"domain_scores_codex":[0.9994691,0.000161675,0.00007243406,0.00010424,0.0001261521,0.00006635256],"domain_scores_gemma":[0.9984577,0.0003556177,0.0004961371,0.00007135388,0.0003055991,0.0003136315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004505138,0.00006645323,0.9892896,0.0000232499,0.0001271611,0.0001275828,0.00002594629,0.0007623112,0.0004702545,0.0000211237,0.0001926506,0.00844309],"study_design_scores_gemma":[0.00005521601,0.0006148038,0.9713789,0.00005379484,0.000370954,0.001097529,0.0002127716,0.02450949,0.000888402,0.0003000681,0.0004808391,0.00003735581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948938,0.001660911,0.001530674,0.0002269979,0.00004698433,0.00003053756,0.0003052057,0.00003430439,0.001270518],"genre_scores_gemma":[0.9985972,0.0002829591,0.0005857234,0.00001788243,0.00004922273,0.00001145801,0.0002690741,0.000003118416,0.0001833766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001784662,"threshold_uncertainty_score":0.008751631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3103696516","doi":"10.2174/1573405616666201118114712","title":"A Giant Internal Iliac Artery Aneurysm with Arteriovenous Fistulization","year":2020,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Arteriovenous fistula; Internal iliac artery; Aneurysm; Fistula; Radiology; Complication; Vein; Iliac artery; Surgery; External iliac vein; External iliac artery","authors":[{"name":"Dragan Piljić","is_ca":false},{"name":"Alen Hajdarević","is_ca":false},{"name":"Dilista Piljić","is_ca":false},{"name":"Adnan Behrem","is_ca":true},{"name":"Mate Petričević","is_ca":false},{"name":"Gordan Samoukovic","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02873330952143969,"gpt":0.3252843299702252,"spread":0.2965510204487855,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002595923,0.0007369817,0.0006909164,0.001308574,0.001107289,0.0005861821,0.0004076584,0.001630671,0.003827057],"category_scores_gemma":[0.002539236,0.0003229589,0.0006933801,0.001065431,0.0008675142,0.0008102626,0.0007817783,0.001472792,0.0008394891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447314,"about_ca_system_score_gemma":0.0007389481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005278906,"about_ca_topic_score_gemma":0.0006048108,"domain_scores_codex":[0.9997181,0.00002682324,0.00003315606,0.00005073218,0.00005003328,0.0001211373],"domain_scores_gemma":[0.9987304,0.0003483538,0.0005161033,0.0001116892,0.00004635729,0.0002472013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00007903516,0.00003291538,0.01646761,0.00009837942,0.00001730195,0.9766952,0.0001244135,0.0001169069,0.001474581,0.0004256142,0.0004787162,0.003989218],"study_design_scores_gemma":[0.000009350887,0.00002131975,0.003995669,0.00001689794,0.00001428628,0.9947616,0.00002572396,0.00009209124,0.0003801997,0.0001909435,0.0004881111,0.000003827932],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544671,0.009098754,0.006746885,0.002929868,0.0005359451,0.0001158221,0.0003202189,0.0003234497,0.02546202],"genre_scores_gemma":[0.9941751,0.001292027,0.001693255,0.0005378232,0.0007515685,0.00002350722,0.00007332103,0.00001831677,0.001434941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003827057,"threshold_uncertainty_score":0.01280278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392656941","doi":"10.2174/0115734056277475240215115629","title":"Radiomic Analysis of Contrast-Enhanced CT Predicts Glypican 3-PositiveHepatocellular Carcinoma","year":2024,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Glypican 3; Hepatocellular carcinoma; Contrast (vision); Medicine; Oncology; Internal medicine; Computer science; Artificial intelligence","authors":[{"name":"Shifang Sun","is_ca":false},{"name":"Shungen Xiao","is_ca":false},{"name":"Zhen Jiang","is_ca":false},{"name":"Junfeng Xiao","is_ca":true},{"name":"Qi He","is_ca":false},{"name":"Mei Wang","is_ca":false},{"name":"Yanfen Fan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04488563725530632,"gpt":0.3304291703424482,"spread":0.2855435330871419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461178,0.0004941895,0.0003100708,0.00109896,0.0001755407,0.0006687865,0.0002796652,0.0003397273,0.0007016183],"category_scores_gemma":[0.004204525,0.0001582176,0.0006121977,0.0003599342,0.000330692,0.0002665716,0.0003603437,0.0003370076,0.0002370555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003318555,"about_ca_system_score_gemma":0.0002601855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007384834,"about_ca_topic_score_gemma":0.0005469003,"domain_scores_codex":[0.9996796,0.0001298991,0.00003244413,0.00007020896,0.00006099424,0.00002691435],"domain_scores_gemma":[0.9984788,0.0005333981,0.000483372,0.0001529403,0.000232885,0.0001184877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006246255,0.00008100401,0.9720381,0.00002801632,0.0001124592,0.0003146152,0.0000479898,0.01227786,0.003376977,0.0001109416,0.0002897282,0.01069771],"study_design_scores_gemma":[0.00003479098,0.0005007444,0.6855474,0.00003110054,0.0002151458,0.00184107,0.0001350577,0.3057056,0.004345411,0.0008254705,0.0007874458,0.00003072458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945562,0.0001836155,0.004684961,0.00004959743,0.000006805137,0.00001901667,0.0001583275,0.00003480117,0.0003067477],"genre_scores_gemma":[0.9989989,0.00003185914,0.0007192599,0.000006188705,0.000005411461,0.000007556283,0.0001858462,0.000003909709,0.00004112115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001461178,"threshold_uncertainty_score":0.007727563,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406881372","doi":"10.2174/0115734056339987250116102211","title":"Sonographic Features of Juvenile Fibroadenoma in Children-a Retrospective Study","year":2025,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Toronto","keywords":"Juvenile; Fibroadenoma; Medicine; Ultrasound; Incidence (geometry); Radiology; Retrospective cohort study; Population; Anatomy; Surgery; Biology; Internal medicine","authors":[{"name":"Jian Shi","is_ca":false},{"name":"Luzeng Chen","is_ca":false},{"name":"Jingming Ye","is_ca":false},{"name":"Shuang Zhang","is_ca":false},{"name":"Hong Zhang","is_ca":false},{"name":"Yuhong Shao","is_ca":false},{"name":"Xiuming Sun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01432761481332743,"gpt":0.3424896022017386,"spread":0.3281619873884112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004673447,0.0003682023,0.0004716624,0.001726115,0.0004336241,0.0004870019,0.0002218418,0.0003930619,0.00136953],"category_scores_gemma":[0.001857306,0.0004006384,0.0003527279,0.001416034,0.0004961804,0.0007353391,0.0003883442,0.0003653348,0.000265392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021527,"about_ca_system_score_gemma":0.0004279401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206556,"about_ca_topic_score_gemma":0.001991403,"domain_scores_codex":[0.9994252,0.00009369409,0.0001211004,0.0001455603,0.000137138,0.00007741068],"domain_scores_gemma":[0.9976761,0.0004520883,0.001253256,0.0001053177,0.0001987759,0.0003145217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002724192,0.00000927271,0.9979606,0.00001441864,0.00001095221,0.0009448666,0.00005800635,0.00001561189,0.0001502342,0.000005754773,0.00003039358,0.0007727192],"study_design_scores_gemma":[0.000007648565,0.0002315395,0.9766936,0.00002419158,0.00003629626,0.02168203,0.0005672322,0.00007410682,0.0001490975,0.00001295422,0.0005146292,0.000006689967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986888,0.0007241723,0.00009369873,0.0000140282,0.000005317038,0.0000153554,0.0001916571,0.000004823595,0.0002621031],"genre_scores_gemma":[0.9989594,0.0005467112,0.0001386924,0.00001586939,0.00001686644,0.00001801899,0.0002482626,0.000002459703,0.00005370664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00206556,"threshold_uncertainty_score":0.004581571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386592615","doi":"10.2174/1573405620666230906092301","title":"A Preliminary Study of Brain Functional Magnetic Resonance Imaging in TextReading and Comprehension","year":2023,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Guangzhou Municipal Science and Technology Project","keywords":"Functional magnetic resonance imaging; Psychology; Reading (process); Cognition; Lingual gyrus; Montreal Cognitive Assessment; Brain activity and meditation; Neuroscience; Occipital lobe; Human brain; Fusiform gyrus; Audiology; Cognitive psychology; Medicine; Cognitive impairment; Electroencephalography","authors":[{"name":"Qi Xie","is_ca":false},{"name":"Huixian Chen","is_ca":false},{"name":"Wenjuan He","is_ca":false},{"name":"Zhilin Tan","is_ca":false},{"name":"Yajie Wang","is_ca":false},{"name":"Yanhui Liao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05013428216489687,"gpt":0.3802906358480033,"spread":0.3301563536831065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007808823,0.0003183096,0.0001209965,0.000385448,0.0002441974,0.0002948559,0.0002339481,0.0004912262,0.004253131],"category_scores_gemma":[0.001703051,0.0001002394,0.0001521416,0.0001778545,0.0004279405,0.000690033,0.0001804053,0.0003704918,0.0006598749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578376,"about_ca_system_score_gemma":0.0002097851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006558904,"about_ca_topic_score_gemma":0.001028433,"domain_scores_codex":[0.9999036,0.00002719739,0.000006633732,0.00003363417,0.00001391366,0.00001497409],"domain_scores_gemma":[0.9993408,0.0003405951,0.00008401508,0.00004131277,0.00009759377,0.00009567274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005882083,0.003250551,0.1850816,0.001491112,0.0001778026,0.006214599,0.009675235,0.0003533446,0.6203589,0.001174015,0.001412756,0.1649279],"study_design_scores_gemma":[0.0001728285,0.005873798,0.9511795,0.00006159981,0.0001279166,0.00625079,0.001494597,0.0006985025,0.02882967,0.00102174,0.004264055,0.0000250366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938371,0.001020301,0.001252194,0.0001125602,0.00001645553,0.0001006147,0.00009826144,0.00001442647,0.003548129],"genre_scores_gemma":[0.9961638,0.0003962928,0.001612807,0.00009889667,0.00004853234,0.00009178069,0.0001595939,0.000006787363,0.001421457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004253131,"threshold_uncertainty_score":0.01422811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2770961230","doi":"10.2174/1573405613666171122163759","title":"Brain Structural Magnetic Resonance Imaging for Joint Independent Component Analysis in Schizophrenic Patients","year":2017,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Statistical parametric mapping; White matter; Magnetic resonance imaging; Voxel; Gray (unit); Voxel-based morphometry; Psychology; Neuroimaging; Superior temporal gyrus; Functional magnetic resonance imaging; Gyrus; Neuroscience; Nuclear medicine; Medicine; Radiology","authors":[{"name":"Wen-Lin Chu","is_ca":false},{"name":"Min‐Wei Huang","is_ca":false},{"name":"Bo‐Lin Jian","is_ca":false},{"name":"Kuo‐Sheng Cheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03991957070995718,"gpt":0.377338530462598,"spread":0.3374189597526408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001232346,0.0004432121,0.0003089831,0.001171543,0.0002861114,0.0005656026,0.0002119524,0.0002159321,0.003411643],"category_scores_gemma":[0.001587644,0.0001272455,0.0003564364,0.0005352693,0.0002490867,0.0002026845,0.0003199808,0.000321148,0.0003558845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358091,"about_ca_system_score_gemma":0.0006976461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265893,"about_ca_topic_score_gemma":0.00311767,"domain_scores_codex":[0.9998234,0.00007508309,0.00002038693,0.00002873954,0.00003399804,0.00001845454],"domain_scores_gemma":[0.9996593,0.0001197146,0.00006635665,0.00006453226,0.00005712112,0.00003296331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004101447,0.0004800534,0.6314039,0.00043335,0.0005838982,0.001886408,0.001070257,0.002583781,0.1148205,0.003166561,0.004432536,0.2350373],"study_design_scores_gemma":[0.000101427,0.0007725467,0.9691188,0.00006282141,0.0002790408,0.001722477,0.0004803127,0.01232644,0.009283123,0.002356567,0.003467212,0.00002915583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799377,0.0009124659,0.01549988,0.0003229752,0.00004133956,0.0002246857,0.0008451381,0.0001212765,0.002094593],"genre_scores_gemma":[0.9796355,0.0003159854,0.0186247,0.00004063255,0.00002734019,0.0002415799,0.0005830204,0.0000302753,0.0005010354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003411643,"threshold_uncertainty_score":0.0114131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4364353726","doi":"10.2174/1573405620666230405092350","title":"Assessment of Thyroid Function in Patients with Rheumatoid Arthritis inKunming, China: A Case-control Study","year":2023,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Yunnan Provincial Science and Technology Department","keywords":"Medicine; Rheumatoid arthritis; Rheumatoid factor; Internal medicine; Thyroid-stimulating hormone; Triiodothyronine; Thyroid function; Free thyroxine; Erythrocyte sedimentation rate; Hormone; Endocrinology; Thyroid; Thyroid function tests; Gastroenterology","authors":[{"name":"Fang He","is_ca":false},{"name":"Fayou Li","is_ca":false},{"name":"Dachen Zuo","is_ca":false},{"name":"Sha Ma","is_ca":false},{"name":"Yang Chen","is_ca":false},{"name":"Jihui Ying","is_ca":true},{"name":"Lixuan Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01400616753428309,"gpt":0.3284695544085339,"spread":0.3144633868742508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007814402,0.0005119126,0.0004818796,0.0013165,0.001156122,0.0005007913,0.000391234,0.000568995,0.001314006],"category_scores_gemma":[0.0009125537,0.0006007983,0.0004242518,0.00119698,0.0005282926,0.0004456288,0.0003497497,0.0004157345,0.0001739258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701201,"about_ca_system_score_gemma":0.0004932088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00702586,"about_ca_topic_score_gemma":0.007250785,"domain_scores_codex":[0.999445,0.0001089395,0.0000680113,0.0001746885,0.0001064256,0.00009696564],"domain_scores_gemma":[0.9995244,0.00008583393,0.000153979,0.00006096988,0.00006813803,0.0001067393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001056043,0.0001092434,0.9981073,0.00001714889,0.00003181996,0.0003379784,0.0001603285,0.00001115652,0.0002491906,0.00001440699,0.00003801326,0.0008178754],"study_design_scores_gemma":[0.00003586818,0.0002968761,0.9976554,0.000008471653,0.00005744754,0.00126515,0.000249912,0.0001410966,0.00007593323,0.00002154373,0.0001862911,0.000006129514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994037,0.0002680988,0.00006879144,0.00001600716,0.000003703417,0.00002591508,0.00004681842,0.000001413103,0.0001656133],"genre_scores_gemma":[0.9994044,0.0001452985,0.0001055559,0.00002967895,0.00001513645,0.000027585,0.0001074996,8.405552e-7,0.0001641116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00702586,"threshold_uncertainty_score":0.01396996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310570700","doi":"10.2174/1573405619666221130115929","title":"Cone Beam CT Features and Oral Radiologist’s Decision-making ofArrested Pneumatization of the Sphenoid Sinus","year":2022,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Skull; Medicine; Cone beam computed tomography; Radiography; Confidence interval; Sinus (botany); Radiology; Dentistry; Nuclear medicine; Computed tomography; Anatomy; Internal medicine","authors":[{"name":"Noura Alsufyani","is_ca":true},{"name":"Nouf Alsuayri","is_ca":false},{"name":"Raghad Fahad Alrasheed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02593938512829419,"gpt":0.3520427412053399,"spread":0.3261033560770457,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003063625,0.0002994721,0.0002286217,0.002648433,0.0002892668,0.001004757,0.0004700909,0.00071951,0.002358081],"category_scores_gemma":[0.02006815,0.0002460301,0.0003364355,0.0006318191,0.0005554617,0.0009890735,0.0006045227,0.0003514644,0.0004316079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751828,"about_ca_system_score_gemma":0.0003826011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736544,"about_ca_topic_score_gemma":0.002128686,"domain_scores_codex":[0.9984908,0.0003494187,0.0003277761,0.0001443294,0.0004852354,0.0002023202],"domain_scores_gemma":[0.9907821,0.003600102,0.003184993,0.0003295185,0.001349684,0.0007536807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007972753,0.0000120896,0.9947048,0.00001713807,0.00001550802,0.0008706204,0.0001696046,0.00005773479,0.0004167756,0.00001485725,0.0001073853,0.003533759],"study_design_scores_gemma":[0.00001165144,0.0001470992,0.9809532,0.00008820317,0.00004931732,0.01446982,0.001718236,0.001172691,0.0007371475,0.0001010219,0.0005330567,0.00001874586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997922,0.0005994899,0.0002211184,0.0001064146,0.00001347674,0.000009955164,0.00006990929,0.000006211499,0.001051561],"genre_scores_gemma":[0.9994843,0.000149923,0.0002129536,0.00002120387,0.00001884926,0.00000225639,0.0000633425,0.000001208187,0.00004594031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003063625,"threshold_uncertainty_score":0.01620215,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415237273","doi":"10.2174/0115734056418245250912095159","title":"Application Value of Intelligent Quick Magnetic Resonance for Accelerating Brain MR Scanning and Improving Image Quality in Acute Ischemic Stroke","year":2025,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Image quality; Magnetic resonance imaging; Quality (philosophy); Brain scanning; Acute stroke; Value (mathematics)","authors":[{"name":"Bo Xue","is_ca":false},{"name":"Dewen Duan","is_ca":false},{"name":"Junbang Feng","is_ca":false},{"name":"Zhenjun Zhao","is_ca":false},{"name":"Jinrui Zhang","is_ca":false},{"name":"Chao Peng","is_ca":false},{"name":"Chang Li","is_ca":false},{"name":"Chuanming Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02663552750917191,"gpt":0.3809010195052274,"spread":0.3542654919960555,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009938665,0.0002283501,0.0002184915,0.0003672377,0.0001215561,0.0003558972,0.0002006784,0.0002163195,0.0008287426],"category_scores_gemma":[0.002421011,0.00008951325,0.0002201806,0.0001803188,0.000210721,0.0002929826,0.0002130151,0.0001459907,0.0001073361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727337,"about_ca_system_score_gemma":0.0002299555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003388929,"about_ca_topic_score_gemma":0.0004366469,"domain_scores_codex":[0.9996457,0.0001424139,0.00003757246,0.0000499397,0.00009164274,0.00003274748],"domain_scores_gemma":[0.9990475,0.0002494993,0.0003637111,0.00007122906,0.0001722896,0.00009573782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007032737,0.001134582,0.6737741,0.0006139203,0.0004337864,0.0007316101,0.0003877806,0.001866143,0.02522609,0.0001523662,0.0005843166,0.2880625],"study_design_scores_gemma":[0.0004652104,0.0145921,0.9653298,0.00008854899,0.0005993488,0.003095126,0.0001960966,0.003667974,0.009740928,0.0002909078,0.001889992,0.00004404407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966378,0.001447097,0.001037661,0.00006859589,0.00001252665,0.00003394318,0.00002924174,0.00002499717,0.0007081134],"genre_scores_gemma":[0.9971184,0.0005718216,0.002014492,0.00003479373,0.00004082186,0.00002032605,0.00005604464,0.000003552546,0.0001399197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009938665,"threshold_uncertainty_score":0.005256116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409565977","doi":"10.2174/0115734056371884250324151755","title":"The Impact of Therapeutic Ultrasound on Bone Radio Density Following Orthodontic Treatment with Clear Aligners: A Preliminary Study","year":2025,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Low-intensity pulsed ultrasound; Medicine; Hounsfield scale; Dentistry; Bone density; Bone mineral; Orthodontics; Ultrasound; Computed tomography; Surgery; Internal medicine; Osteoporosis; Therapeutic ultrasound; Radiology","authors":[{"name":"Mohsen Gholizadeh","is_ca":true},{"name":"Hollis Lai","is_ca":true},{"name":"Lindsey Westover","is_ca":true},{"name":"Tarek El‐Bialy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02013699119187034,"gpt":0.3396569085788141,"spread":0.3195199173869438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009524911,0.0002377105,0.0003572774,0.0004733273,0.0002189039,0.0002538147,0.0002005503,0.0003612874,0.002082331],"category_scores_gemma":[0.001825547,0.0001636278,0.0003040875,0.0002771713,0.0004421589,0.000249138,0.0003289228,0.0002070112,0.0002470898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427954,"about_ca_system_score_gemma":0.0002575085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003950683,"about_ca_topic_score_gemma":0.0007142193,"domain_scores_codex":[0.9993314,0.0002335377,0.000065824,0.00007298374,0.0002424766,0.00005387965],"domain_scores_gemma":[0.9991351,0.0003202899,0.0003360738,0.00003758136,0.000113491,0.00005749857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01529426,0.003575836,0.6789167,0.00148238,0.0002947974,0.002670242,0.001997386,0.0002754039,0.1146251,0.0001099674,0.0002297345,0.1805283],"study_design_scores_gemma":[0.000223208,0.03899776,0.9463327,0.0000615418,0.000264672,0.003189789,0.001406582,0.0003719525,0.007489999,0.00004278434,0.001599249,0.00001985233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971098,0.00205351,0.0004340261,0.00002405717,0.000006787733,0.00004649017,0.00002259945,0.000003364969,0.000299274],"genre_scores_gemma":[0.9982852,0.0006923988,0.0006473167,0.00002384359,0.00002881179,0.00004142694,0.00004766343,0.000002347558,0.0002310116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002082331,"threshold_uncertainty_score":0.006966054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394741143","doi":"10.2174/0115734056261997231217085501","title":"Application Exploration of Medical Image-aided Diagnosis of Breast TumourBased on Deep Learning","year":2024,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Region of interest; Computer science; Medical imaging; Breast cancer; Magnetic resonance imaging; Feature extraction; Feature (linguistics); Breast imaging; Medicine; Pattern recognition (psychology); Mammography; Computer vision; Radiology; Cancer; Internal medicine","authors":[{"name":"Zhen Hong","is_ca":false},{"name":"Xin Yan","is_ca":false},{"name":"Ran Zhang","is_ca":false},{"name":"Yuanfang Ren","is_ca":false},{"name":"Qian Tong","is_ca":false},{"name":"Chadi Altrjman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02654188074482891,"gpt":0.3741750889269588,"spread":0.3476332081821299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119826,0.0005395943,0.0003743273,0.0007498529,0.0001385155,0.0004252461,0.0006188396,0.0006421688,0.001434901],"category_scores_gemma":[0.0007853687,0.0002114918,0.0005735073,0.0004304766,0.0001944431,0.0005679057,0.0005045153,0.0003239244,0.0002583456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721358,"about_ca_system_score_gemma":0.0005673657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004717225,"about_ca_topic_score_gemma":0.00405583,"domain_scores_codex":[0.999769,0.00002884102,0.00001381737,0.00005272101,0.00009512597,0.00004051507],"domain_scores_gemma":[0.9997801,0.00006905053,0.00002237134,0.00002096644,0.00009121871,0.00001633662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000292141,0.0002063828,0.01216068,0.0004010881,0.0001379938,0.0005758303,0.0001513425,0.2392526,0.07956567,0.002572959,0.00404995,0.6606333],"study_design_scores_gemma":[0.000007345603,0.00006980409,0.001708137,0.0000141377,0.00003149145,0.0001510429,0.00001607984,0.9806309,0.01532317,0.0008274601,0.001210314,0.00001003722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2065047,0.003346091,0.7792099,0.0008131916,0.000139884,0.0001389093,0.0003510307,0.002614013,0.006882148],"genre_scores_gemma":[0.899445,0.001442784,0.09535379,0.0002798169,0.0000450604,0.0000702683,0.0003639913,0.00004896982,0.002950346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004717225,"threshold_uncertainty_score":0.009379566,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406081332","doi":"10.2174/0115734056281104241220113235","title":"Magnetic Resonance Imaging Study on Older Patients with Cognitive Impairment and Depression","year":2025,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Sichuan Province Science and Technology Support Program; Neijiang Normal University; China Postdoctoral Science Foundation; Chengdu Medical College","keywords":"Precentral gyrus; Precuneus; Postcentral gyrus; Functional magnetic resonance imaging; Montreal Cognitive Assessment; Cognition; Depression (economics); Middle frontal gyrus; Population; Audiology; Medicine; Psychology; Superior temporal gyrus; Magnetic resonance imaging; Psychiatry; Neuroscience; Cognitive impairment; Radiology","authors":[{"name":"Shuang Zhang","is_ca":false},{"name":"Yuping Qin","is_ca":false},{"name":"Meng Ding","is_ca":false},{"name":"Tao Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02503331702558141,"gpt":0.3381993261488048,"spread":0.3131660091232233,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002883608,0.0002597817,0.0004696312,0.000807539,0.0004473681,0.0003019353,0.0001583178,0.0003380329,0.0008988805],"category_scores_gemma":[0.001011845,0.0001051793,0.0002459855,0.00071963,0.0001819267,0.0002204699,0.0002614093,0.0002874805,0.0002244921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468428,"about_ca_system_score_gemma":0.000259015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003838103,"about_ca_topic_score_gemma":0.004842925,"domain_scores_codex":[0.9998688,0.00002545623,0.00001925819,0.00002555959,0.00003353995,0.00002743883],"domain_scores_gemma":[0.9997018,0.00003360171,0.0001013892,0.0000172928,0.00006171442,0.0000840835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002664021,0.0001768862,0.9929312,0.00004099514,0.0000728337,0.001151462,0.0002661388,0.00002648638,0.001216972,0.00002023329,0.000137227,0.003693289],"study_design_scores_gemma":[0.000009649702,0.0002559376,0.9980894,0.000007510926,0.00002652946,0.001286815,0.00009227049,0.00002706491,0.00005821547,0.00001041324,0.0001343923,0.000001785486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980464,0.0005309561,0.00004997143,0.00004115692,0.000007080579,0.00002513822,0.0001528018,0.000001924834,0.001144521],"genre_scores_gemma":[0.9990857,0.0003491637,0.00007105973,0.00006843635,0.00002546751,0.00001522717,0.0001946566,5.100907e-7,0.0001899045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003838103,"threshold_uncertainty_score":0.007631481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2762105355","doi":"10.2174/157340561102150624144437","title":"Application of PET to the Diagnosis, Staging, and Treatment of Locally Advanced Non-small Cell Lung Cancer","year":2015,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Lung cancer; Positron emission tomography; Immunotherapy; Oncology; Disease; Clinical trial; Clinical Practice; Drug development; Cancer; Internal medicine; Radiology; Medical physics; Drug; Pharmacology","authors":[{"name":"Fei Li","is_ca":false},{"name":"Mark Landis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03913903969147059,"gpt":0.3930440879998132,"spread":0.3539050483083426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008786551,0.0005016195,0.0005735775,0.001262861,0.0001884511,0.0009222843,0.0004296735,0.0009248415,0.001753047],"category_scores_gemma":[0.000864724,0.00026719,0.0005036797,0.001216882,0.0008189057,0.0007497608,0.0004873117,0.0015404,0.0009311763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000638156,"about_ca_system_score_gemma":0.0005822007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000989807,"about_ca_topic_score_gemma":0.001108379,"domain_scores_codex":[0.9997147,0.000101028,0.00001774598,0.00005713682,0.0000837332,0.00002560217],"domain_scores_gemma":[0.9997215,0.0001513664,0.00003459336,0.00001390625,0.00006363213,0.00001501981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001746502,0.0001025743,0.003337326,0.002981386,0.0001228103,0.001639789,0.0001372763,0.001055693,0.03775028,0.007988265,0.01136403,0.9333459],"study_design_scores_gemma":[0.00007426122,0.001180817,0.01988741,0.002462897,0.000393504,0.03213867,0.000297633,0.003264421,0.0492539,0.01438428,0.8765513,0.0001109543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004429604,0.9684442,0.01114763,0.002484559,0.0005171616,0.00004152253,0.00004215015,0.00007664647,0.01281655],"genre_scores_gemma":[0.05178733,0.9282182,0.01348393,0.001561561,0.001326626,0.00004989832,0.00009182197,0.00001847894,0.003462105],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001753047,"threshold_uncertainty_score":0.005864501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}