{"meta":{"query_hash":"0833f2d70af0","filters":{"venue":"European Journal of Nuclear Medicine and Molecular Imaging"},"cohort_total":214,"direct_labels_cover":1,"predictions_cover":214,"exported":214,"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/0833f2d70af0","api":"https://metacan.xera.ac/api/v1/cohort?venue=European+Journal+of+Nuclear+Medicine+and+Molecular+Imaging"},"results":[{"id":"W1521200025","doi":"10.1007/s002590000455","title":"Radioiodinated N-[3-(4-morpholino)propyl]-N-methyl-2-hydroxy-5-iodo-3-methylbenzylamine (ERC9): a new potential melanoma imaging agent","year":2001,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Positron emission tomography; Melanoma; Nuclear medicine; Sentinel node; Clinical trial; Emission computed tomography; Metastasis; Lymph node; Biopsy; Radiology; Cancer; Pathology; Internal medicine; Cancer research; Breast cancer","score_opus":0.011591699900780527,"score_gpt":0.23940458983876908,"score_spread":0.22781288993798857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521200025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9194931,0.02497096,0.031583566,0.0007699304,0.00034270616,0.00019368318,0.00052179385,0.0005268265,0.021597464],"genre_scores_gemma":[0.9699478,0.0053709876,0.016248912,0.0002038348,0.0000673887,0.000072519324,0.0004840199,0.0000677431,0.007536791],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998857,0.000030772848,0.0000056160884,0.000025166704,0.000019912317,0.000032807922],"domain_scores_gemma":[0.9999236,0.000020169104,0.000019068135,0.000007845132,0.000009105469,0.000020302086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027592658,0.00028166268,0.00038304683,0.00022397452,0.00016746197,0.00022714188,0.0009531684,0.00061469246,0.0012069944],"category_scores_gemma":[0.00015998696,0.00019201683,0.00014983855,0.00014767417,0.00018752992,0.00031136686,0.00022864941,0.000518889,0.0009480968],"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":[0.0007362009,0.000058227397,0.00021968337,0.00007540102,0.000014726292,0.00040506886,0.00001219855,0.00016344253,0.9906573,0.0002748329,0.00026570816,0.0071171885],"study_design_scores_gemma":[0.00025054408,0.0014284381,0.0021887715,0.000016319227,0.00007519771,0.0031696183,0.000021314245,0.0016833548,0.9777234,0.0000719183,0.013353407,0.00001763602],"about_ca_topic_score_codex":0.00081561966,"about_ca_topic_score_gemma":0.00092051574,"teacher_disagreement_score":0.0012069944,"about_ca_system_score_codex":0.00033510916,"about_ca_system_score_gemma":0.00021100999,"threshold_uncertainty_score":0.0040377975},"labels":[],"label_agreement":null},{"id":"W1545678780","doi":"10.1007/s00259-015-3167-6","title":"Characterization of age/sex and the regional distribution of mGluR5 availability in the healthy human brain measured by high-resolution [11C]ABP688 PET","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Douglas Mental Health University Institute; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Human brain; Medicine; Nuclear medicine; High resolution; Psychiatry; Geography","score_opus":0.05623051814438832,"score_gpt":0.32046648970356695,"score_spread":0.2642359715591786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545678780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688244,0.0009648412,0.00076290616,0.000028188162,0.00000971018,0.000014351277,0.00046451756,0.00001501483,0.000858049],"genre_scores_gemma":[0.99793684,0.00038110983,0.00032340488,0.000037799637,0.000015759804,0.000019250348,0.0002855138,0.000013533711,0.0009867738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999273,0.00000901981,0.00000701976,0.000029686182,0.000013092681,0.000013920004],"domain_scores_gemma":[0.99988484,0.000024125731,0.000044002416,0.000016378366,0.000013164529,0.00001753222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015272305,0.00020980967,0.00023104448,0.00032359347,0.00015309162,0.0002519697,0.00013890355,0.0002242258,0.0022124043],"category_scores_gemma":[0.0003665469,0.00012681936,0.000114092356,0.00020527332,0.00017242649,0.00019006777,0.00010426293,0.00012015423,0.0004107669],"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":[0.012771377,0.00035759644,0.5194731,0.00026056587,0.0003380657,0.005732559,0.0008497002,0.0002832022,0.38072574,0.00033254497,0.00088785455,0.07798778],"study_design_scores_gemma":[0.00002064083,0.0005296142,0.9881358,0.0000052020832,0.00006217975,0.0028936965,0.00011537964,0.00026465626,0.0071548913,0.00009893812,0.0007118506,0.0000073074007],"about_ca_topic_score_codex":0.0009626829,"about_ca_topic_score_gemma":0.0010796589,"teacher_disagreement_score":0.0022124043,"about_ca_system_score_codex":0.00007533753,"about_ca_system_score_gemma":0.000095492556,"threshold_uncertainty_score":0.007401228},"labels":[],"label_agreement":null},{"id":"W1595598741","doi":"10.1007/s00259-015-3152-0","title":"99mTc-Annexin A5 quantification of apoptotic tumor response: a systematic review and meta-analysis of clinical imaging trials","year":2015,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada; Western University","funders":"","keywords":"Medicine; Meta-analysis; Nuclear medicine; Clinical trial; Radiation therapy; Oncology; Biomarker; Internal medicine; Radiology","score_opus":0.1907002809828745,"score_gpt":0.4346126169933641,"score_spread":0.24391233601048962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595598741","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033090962,0.9959442,0.00019988403,0.00009778979,0.000048297494,0.000038913306,0.0002304384,0.0000071445224,0.00012423066],"genre_scores_gemma":[0.14599904,0.8495882,0.0017737333,0.0012400971,0.00021079871,0.00017741248,0.000740666,0.000025746773,0.00024419077],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99626786,0.0015243969,0.001042519,0.00065159705,0.00039854125,0.000115085575],"domain_scores_gemma":[0.98837066,0.008793268,0.0019640964,0.00030667806,0.00046906198,0.00009630784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006953186,0.0014857705,0.00932845,0.0022145123,0.0002240512,0.0019260169,0.0014819722,0.0013991332,0.0022441852],"category_scores_gemma":[0.015637306,0.0007557264,0.010238628,0.0032849559,0.0005425308,0.0011908149,0.0009636364,0.001019886,0.00021145851],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006191366,0.000057671874,0.011632663,0.42767757,0.46343586,0.00018296145,0.0001169711,0.0009109915,0.0008781195,0.0002809998,0.0019838952,0.08665103],"study_design_scores_gemma":[0.0020648397,0.0006130253,0.015845142,0.028411187,0.9423472,0.00038194002,0.00009962171,0.00032384795,0.00045520128,0.00059699337,0.008782892,0.00007815885],"about_ca_topic_score_codex":0.0020785201,"about_ca_topic_score_gemma":0.0067667183,"teacher_disagreement_score":0.00932845,"about_ca_system_score_codex":0.0011428077,"about_ca_system_score_gemma":0.0015846014,"threshold_uncertainty_score":0.03677237},"labels":[],"label_agreement":null},{"id":"W1665966405","doi":"10.1007/s00259-015-3181-8","title":"Comparison of 18F-fluorodeoxyglucose positron emission tomography (FDG PET) and cardiac magnetic resonance (CMR) in corticosteroid-naive patients with conduction system disease due to cardiac sarcoidosis","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Sarcoidosis and Beryllium Toxicity Research","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Positron emission tomography; Magnetic resonance imaging; Nuclear medicine; Fluorodeoxyglucose; Cardiac magnetic resonance imaging; Sarcoidosis; Cardiac imaging; Internal medicine; Radiology","score_opus":0.018132007196172386,"score_gpt":0.27667748157744415,"score_spread":0.2585454743812718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1665966405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99858934,0.00075053493,0.00003987606,0.000046060537,0.00001258003,0.0000059875306,0.000033379016,0.0000019353743,0.000520303],"genre_scores_gemma":[0.99954516,0.000178464,0.00004043336,0.000060269034,0.000026779366,0.0000034359996,0.000065146356,0.0000010062255,0.00007918725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994474,0.00019421372,0.000095825766,0.00009139085,0.000085613545,0.00008547796],"domain_scores_gemma":[0.9974896,0.0014750931,0.000268276,0.00007381333,0.00017524959,0.000518013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072410255,0.000348535,0.00073657243,0.00043663481,0.0003213915,0.00069912826,0.00031914702,0.00107005,0.0009744189],"category_scores_gemma":[0.005051759,0.00023396399,0.00041260634,0.00035132354,0.00035254966,0.0006582365,0.00022687308,0.0005732635,0.00024395448],"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":[0.011404411,0.0003897952,0.9749321,0.000064987085,0.00015343155,0.0023460258,0.00024174666,0.0001961196,0.002664496,0.00002693274,0.00009785609,0.00748218],"study_design_scores_gemma":[0.00031180255,0.002719502,0.9936826,0.00001299622,0.00015018645,0.0019354704,0.0002827349,0.00040453585,0.0002623263,0.000036843085,0.00018630124,0.000014576676],"about_ca_topic_score_codex":0.002607579,"about_ca_topic_score_gemma":0.003999011,"teacher_disagreement_score":0.002607579,"about_ca_system_score_codex":0.00037621535,"about_ca_system_score_gemma":0.0003044806,"threshold_uncertainty_score":0.0051848292},"labels":[],"label_agreement":null},{"id":"W1792396719","doi":"10.1007/s00259-015-3115-5","title":"Amyloid PET in European and North American cohorts; and exploring age as a limit to clinical use of amyloid imaging","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Synarc; Swedish Brain Power; Servier; Karolinska Institutet; Vetenskapsrådet; Eisai; Stockholms Läns Landsting; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; European Commission; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Positron emission tomography; Pittsburgh compound B; Medicine; Cohort; Amyloid (mycology); Internal medicine; Population; Nuclear medicine; Cohort study; Alzheimer's disease; Disease; Pathology","score_opus":0.08975389520100495,"score_gpt":0.3394110572768454,"score_spread":0.24965716207584043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1792396719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618846,0.0016323595,0.0005644641,0.00015031583,0.000030088779,0.000014848944,0.00015185829,0.000007027583,0.0012605363],"genre_scores_gemma":[0.9990729,0.00022515589,0.00024086873,0.00011948113,0.000032422802,0.000015550504,0.00013922092,0.0000038261387,0.00015067833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808323,0.00089098944,0.00016742441,0.0005176636,0.0002705191,0.00007019271],"domain_scores_gemma":[0.9955877,0.0016135896,0.0013740344,0.000690177,0.00044010364,0.00029440923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006311598,0.00024902966,0.0003035534,0.00058020063,0.0004502542,0.0008390817,0.00034825385,0.00058686547,0.0009693234],"category_scores_gemma":[0.009839523,0.00016791144,0.00025067243,0.0006084516,0.0005846173,0.000663049,0.0006899192,0.00033537793,0.00025291898],"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":[0.0005058067,0.000028879356,0.9918183,0.000021708745,0.00015907842,0.00016333564,0.00038337242,0.00005869148,0.0006963344,0.00015926028,0.00016189573,0.005843426],"study_design_scores_gemma":[0.00001820592,0.00011357354,0.99726796,0.0000137083725,0.00007122762,0.00085350836,0.00022233713,0.00017704822,0.00014571176,0.000203742,0.0009077243,0.0000053940635],"about_ca_topic_score_codex":0.0020480237,"about_ca_topic_score_gemma":0.0022072555,"teacher_disagreement_score":0.006311598,"about_ca_system_score_codex":0.00017876613,"about_ca_system_score_gemma":0.00024913703,"threshold_uncertainty_score":0.033379316},"labels":[],"label_agreement":null},{"id":"W1967266965","doi":"10.1007/s00259-015-3014-9","title":"Value of ventilation/perfusion SPECT for diagnosis of pulmonary embolism: response to comments by Sinzinger et al.","year":2015,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Pulmonary embolism; Medicine; Perfusion; Ventilation (architecture); Cardiology; Value (mathematics); Nuclear medicine; Internal medicine; Radiology; Mathematics; Statistics; Physics","score_opus":0.020397754716001366,"score_gpt":0.29270450202612724,"score_spread":0.2723067473101259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967266965","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010010178,0.0012816198,0.0001441979,0.9816729,0.014602399,0.000018658522,0.00007186675,0.000038342714,0.0011689336],"genre_scores_gemma":[0.013372308,0.0016240467,0.0006538027,0.91966504,0.06173801,0.000057311747,0.00008082106,0.000038363592,0.0027702937],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979196,0.0005740883,0.000429528,0.00032063603,0.00051805633,0.00023807089],"domain_scores_gemma":[0.99133426,0.004633736,0.0006784063,0.00026572216,0.0021741726,0.00091362954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026345805,0.0010211699,0.0017641876,0.00097007497,0.0021912802,0.0027340841,0.0026187806,0.043941766,0.0032539633],"category_scores_gemma":[0.029693926,0.0008174073,0.0014503822,0.0009916612,0.002339184,0.003464034,0.0010680442,0.030397976,0.004307291],"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":[0.00021890989,0.00007749524,0.0028437658,0.00015629081,0.000055227498,0.03253515,0.00022891643,0.00030061643,0.0004500525,0.001473133,0.94965935,0.012001085],"study_design_scores_gemma":[0.0006334592,0.00047814203,0.00783488,0.0014457233,0.00028062853,0.09766748,0.0014500916,0.0056180707,0.0021572257,0.01511358,0.86692184,0.00039882542],"about_ca_topic_score_codex":0.0036454983,"about_ca_topic_score_gemma":0.0052100993,"teacher_disagreement_score":0.043941766,"about_ca_system_score_codex":0.0038716304,"about_ca_system_score_gemma":0.00239187,"threshold_uncertainty_score":0.028090835},"labels":[],"label_agreement":null},{"id":"W1970888070","doi":"10.1007/s00259-015-2988-7","title":"Quantification of 18F-florbetapir PET: comparison of two analysis methods","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; U.S. Department of Defense","keywords":"Standardized uptake value; Cerebellar cortex; Categorization; Pathology; Cortex (anatomy); Positron emission tomography; Nuclear medicine; Cerebellum; Medicine; Psychology; Neuroscience; Computer science; Artificial intelligence","score_opus":0.0751271904039146,"score_gpt":0.43745003131392657,"score_spread":0.362322840910012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970888070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2760139,0.025602385,0.6864498,0.00065311306,0.00055688474,0.00079186424,0.0014069099,0.0038572275,0.004667791],"genre_scores_gemma":[0.49287498,0.009422278,0.4869239,0.00046338793,0.00019123925,0.0014160731,0.0010895553,0.002683617,0.0049349223],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9933468,0.0019219145,0.0003781851,0.0016221668,0.0023610473,0.00036978384],"domain_scores_gemma":[0.9881883,0.007468835,0.0009255879,0.0008770008,0.0022596384,0.00028063369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0113298725,0.0018464819,0.0019948948,0.0038929326,0.00085695746,0.0034794852,0.0018683964,0.0028837605,0.00202652],"category_scores_gemma":[0.015057608,0.0017196309,0.001113524,0.0016412359,0.0012028321,0.0027799334,0.001489738,0.0017261073,0.0011370373],"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":[0.020406762,0.00068591326,0.038485058,0.0042451066,0.0033233443,0.00031856616,0.0018040867,0.0070386943,0.44502622,0.005400502,0.0031349119,0.4701308],"study_design_scores_gemma":[0.0014396436,0.00391679,0.16493244,0.0006730667,0.005804265,0.0066247573,0.00095683784,0.2218431,0.56312215,0.009292162,0.020089703,0.0013049656],"about_ca_topic_score_codex":0.0027870648,"about_ca_topic_score_gemma":0.0040791915,"teacher_disagreement_score":0.0113298725,"about_ca_system_score_codex":0.0012018615,"about_ca_system_score_gemma":0.0014971773,"threshold_uncertainty_score":0.05991882},"labels":[],"label_agreement":null},{"id":"W1974859715","doi":"10.1007/s00259-010-1541-y","title":"Quantitative analysis of coronary endothelial function with generator-produced 82Rb PET: comparison with 15O-labelled water PET","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Positron emission tomography; Nuclear medicine; Perfusion; Intraclass correlation; Medicine; Coronary circulation; Cardiac PET; Blood flow; Internal medicine","score_opus":0.012047540015141609,"score_gpt":0.257017272134407,"score_spread":0.2449697321192654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974859715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510172,0.0045420574,0.041528527,0.00010859039,0.000044801527,0.00009324653,0.00019527489,0.00018432658,0.002286044],"genre_scores_gemma":[0.9796882,0.001436854,0.016937036,0.00007145499,0.000036216392,0.00011058167,0.00018111945,0.00015078254,0.0013877173],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992046,0.0004405855,0.000022971555,0.00013113843,0.00013167152,0.000069111615],"domain_scores_gemma":[0.9990422,0.00057527755,0.00011199596,0.00012681489,0.000092296235,0.000051414016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002597179,0.0005376634,0.00068355125,0.00070281676,0.00022153823,0.0010548749,0.0006387557,0.001033489,0.0009216821],"category_scores_gemma":[0.002114544,0.00052842323,0.00029015366,0.0005701546,0.0007630116,0.00084345613,0.00032802028,0.0005898142,0.00026196893],"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":[0.013523931,0.00029688646,0.013228867,0.00047611343,0.0001675538,0.00042384217,0.0005315325,0.0012628785,0.92983514,0.00079058734,0.0001776078,0.03928507],"study_design_scores_gemma":[0.0008236387,0.0068502207,0.13435891,0.000068863774,0.0012160059,0.005546877,0.00056258676,0.044684038,0.80069107,0.0011168706,0.0039214315,0.00015945462],"about_ca_topic_score_codex":0.00072192634,"about_ca_topic_score_gemma":0.0006183526,"teacher_disagreement_score":0.002597179,"about_ca_system_score_codex":0.00026447856,"about_ca_system_score_gemma":0.00028351796,"threshold_uncertainty_score":0.013735354},"labels":[],"label_agreement":null},{"id":"W1977239780","doi":"10.1007/s00259-005-1799-7","title":"Use of myocardial perfusion imaging to predict the effectiveness of coronary revascularisation in patients with stable angina pectoris","year":2005,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Angina; Canadian Cardiovascular Society; Chest pain; Myocardial perfusion imaging; Cardiology; Internal medicine; Perfusion; Visual analogue scale; Angiography; Radiology; Stable angina; Coronary artery disease; Surgery; Myocardial infarction","score_opus":0.006909939003966374,"score_gpt":0.21747560788787912,"score_spread":0.21056566888391273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977239780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973955,0.0010359891,0.000104610896,0.0002708653,0.000025968859,0.000011515801,0.000093295996,0.0000048613592,0.0010574459],"genre_scores_gemma":[0.9992162,0.00029406566,0.00010835862,0.000071348666,0.000060809125,0.000007888045,0.00015028533,0.0000015258544,0.00008940392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994667,0.00019839323,0.00007144146,0.00006488462,0.00013248144,0.00006601769],"domain_scores_gemma":[0.9960849,0.0022117777,0.00073196314,0.00011940074,0.00026537548,0.0005865215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011882783,0.00057498727,0.00082331354,0.0009873408,0.0003449719,0.0008387196,0.00050940237,0.0017688357,0.0009094155],"category_scores_gemma":[0.0056065423,0.00030381163,0.00063568965,0.0005596923,0.00051467447,0.0007732187,0.00027821364,0.0012737584,0.00022987157],"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":[0.0010168786,0.00016992573,0.99526006,0.000015694462,0.00013247629,0.00021318339,0.000033918182,0.0002035821,0.00053511484,0.00003170441,0.000076115226,0.002311209],"study_design_scores_gemma":[0.000062614505,0.0008945333,0.9955212,0.000013718347,0.00016634993,0.00058532093,0.00008235468,0.002241836,0.00021934918,0.00008523429,0.00011600898,0.00001133472],"about_ca_topic_score_codex":0.001315738,"about_ca_topic_score_gemma":0.0022038692,"teacher_disagreement_score":0.0017688357,"about_ca_system_score_codex":0.00036910461,"about_ca_system_score_gemma":0.00037473775,"threshold_uncertainty_score":0.0062842965},"labels":[],"label_agreement":null},{"id":"W1983110950","doi":"10.1007/s00259-013-2599-0","title":"Comment on Campana et al.: Radiolabelled somatostatin analogue treatment in gastroenteropancreatic neuroendocrine tumours: factors associated with response and suggestions for therapeutic sequence","year":2013,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Somatostatin; Medicine; Somatostatin Analogue; Neuroendocrine tumour; Sequence (biology); Pharmacology; Octreotide; Internal medicine; Chemistry; Biochemistry","score_opus":0.041754695695977076,"score_gpt":0.31676865454020314,"score_spread":0.2750139588442261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983110950","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011191526,0.0012047302,0.00011783515,0.9750851,0.020928929,0.000016897846,0.00010514484,0.000048843107,0.0013733825],"genre_scores_gemma":[0.008437613,0.0014539323,0.00028549467,0.9343151,0.051946625,0.000052216143,0.000054627773,0.00003188797,0.0034225527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981781,0.00050924043,0.00030604922,0.0002828377,0.00048366442,0.00024002566],"domain_scores_gemma":[0.9958282,0.002279598,0.00041200337,0.0001212085,0.000857817,0.00050113985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019360137,0.0009041197,0.0017443913,0.00083432515,0.002083043,0.0021523724,0.0021975103,0.0435178,0.0033865066],"category_scores_gemma":[0.017424664,0.00060077914,0.0017752944,0.0010883865,0.0024053713,0.0032189281,0.0009800466,0.026663322,0.0047591464],"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":[0.00022127383,0.000058686717,0.0016269997,0.00009537967,0.00003270064,0.0100285215,0.000156399,0.00017445922,0.00028192793,0.0014720762,0.9789124,0.006939231],"study_design_scores_gemma":[0.00064246776,0.00036587758,0.0058217337,0.0006427889,0.00019398393,0.028212927,0.0010058262,0.002520836,0.0013958322,0.016597914,0.9423159,0.00028389902],"about_ca_topic_score_codex":0.0064175343,"about_ca_topic_score_gemma":0.0071873716,"teacher_disagreement_score":0.0435178,"about_ca_system_score_codex":0.003986831,"about_ca_system_score_gemma":0.002099864,"threshold_uncertainty_score":0.02892667},"labels":[],"label_agreement":null},{"id":"W1983485053","doi":"10.1007/s00259-012-2210-0","title":"Biokinetics and dosimetry of 111In-DOTA-NOC-ATE compared with 111In-DTPA-octreotide","year":2012,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Hôpitaux Universitaires de Genève","keywords":"Medicine; Nuclear medicine; Dosimetry; Octreotide; DOTA; Lung; Kidney; Spleen; Radionuclide therapy; Radiology; Internal medicine; Chemistry","score_opus":0.017120020305673764,"score_gpt":0.28533671292876694,"score_spread":0.26821669262309317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983485053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867324,0.0033072138,0.0075017535,0.00011074298,0.00006257939,0.000038844202,0.00011689541,0.000050814477,0.0020787292],"genre_scores_gemma":[0.992305,0.0008144048,0.0033203785,0.0000695662,0.00001683054,0.000043946,0.00021246915,0.00005109711,0.0031664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995615,0.0002198015,0.000026016542,0.00006145576,0.000076105,0.000055141034],"domain_scores_gemma":[0.99928826,0.00043903606,0.000093475726,0.000054697277,0.00006238303,0.00006207537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000990264,0.00024592222,0.00034461,0.00027636098,0.00016797485,0.00060884893,0.00035325956,0.00049865874,0.0010219193],"category_scores_gemma":[0.0015101561,0.00031691784,0.00019737633,0.00023324792,0.0005306992,0.00047161517,0.000252092,0.0005569089,0.000325627],"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":[0.003945939,0.000083487605,0.0011258398,0.00008919807,0.000019194662,0.00006266424,0.00018330658,0.0015870748,0.9879987,0.00061018625,0.00009785044,0.0041966178],"study_design_scores_gemma":[0.000063840256,0.0015414731,0.0055393805,0.000008010689,0.00006065952,0.00030053582,0.00009758738,0.008921524,0.9821556,0.00009796372,0.0011920967,0.000021312248],"about_ca_topic_score_codex":0.0018841551,"about_ca_topic_score_gemma":0.0010113472,"teacher_disagreement_score":0.0018841551,"about_ca_system_score_codex":0.00062301825,"about_ca_system_score_gemma":0.0005365732,"threshold_uncertainty_score":0.005237043},"labels":[],"label_agreement":null},{"id":"W1991057746","doi":"10.1007/s00259-014-2860-1","title":"Beyond current guidelines: reduction in minimum administered radiopharmaceutical activity with preserved diagnostic image quality in pediatric hepatobiliary scintigraphy","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"","keywords":"Medicine; Nuclear medicine; Scintigraphy; Effective dose (radiation); Image quality; Radiology","score_opus":0.03626102576071923,"score_gpt":0.3396549749104067,"score_spread":0.3033939491496875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991057746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6324237,0.098498255,0.08748136,0.10889527,0.002342229,0.0004527428,0.001311628,0.0020928995,0.06650197],"genre_scores_gemma":[0.92304146,0.012977658,0.052325703,0.007782226,0.0006655122,0.00025347798,0.0004968053,0.00028585992,0.0021714324],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99622846,0.0014177872,0.00064731756,0.00036538823,0.001106036,0.00023505652],"domain_scores_gemma":[0.9952291,0.0018416962,0.0008435109,0.00031457117,0.0013801194,0.00039093272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004007222,0.0003601462,0.0006167817,0.0005940704,0.00031777011,0.0014463066,0.0009824248,0.0012398757,0.0012992864],"category_scores_gemma":[0.012573186,0.0001475931,0.00041535718,0.00066627515,0.0006432873,0.0008585479,0.0006485636,0.0021329161,0.00045489596],"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":[0.0019445929,0.00089268864,0.13341688,0.0015764646,0.00024887678,0.0036567573,0.0013844784,0.0070174057,0.01977096,0.015488389,0.044757556,0.76984495],"study_design_scores_gemma":[0.00060170284,0.0047977385,0.47065872,0.0062126885,0.0011590491,0.022475142,0.0025618982,0.0229634,0.048937947,0.01979009,0.39958328,0.0002583335],"about_ca_topic_score_codex":0.004086583,"about_ca_topic_score_gemma":0.0055887536,"teacher_disagreement_score":0.004086583,"about_ca_system_score_codex":0.0016371803,"about_ca_system_score_gemma":0.003052742,"threshold_uncertainty_score":0.021192431},"labels":[],"label_agreement":null},{"id":"W1995517645","doi":"10.1007/s00259-003-1408-6","title":"FDG-PET delayed imaging for the detection of head and neck cancer recurrence after radio-chemotherapy: comparison with MRI/CT","year":2004,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Positron emission tomography; Head and neck cancer; Magnetic resonance imaging; Radiology; Nuclear medicine; Chemotherapy; Radiation therapy; Cancer; Receiver operating characteristic; Internal medicine","score_opus":0.014118895350185599,"score_gpt":0.28790828186893774,"score_spread":0.2737893865187521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995517645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94782376,0.044669595,0.0029655413,0.00041267416,0.00016080364,0.00011326386,0.00019280691,0.00003669768,0.0036248548],"genre_scores_gemma":[0.9901022,0.0063910554,0.0024257444,0.00008451766,0.00011519609,0.00003447558,0.000167823,0.000016829863,0.00066214445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996786,0.00013464002,0.000035835226,0.00004779081,0.000058746322,0.000044296623],"domain_scores_gemma":[0.9981511,0.0011398181,0.00022470843,0.000081528415,0.00024322556,0.00015961134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020212145,0.0006381384,0.0008461226,0.0013438994,0.00013717271,0.0007465983,0.00072500674,0.0009845574,0.0017825663],"category_scores_gemma":[0.0051576607,0.0003020142,0.00045004074,0.00064395316,0.00038837513,0.00093913067,0.0002164394,0.00078198843,0.00041499283],"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":[0.044513807,0.0007367188,0.68731445,0.0010676199,0.00055339106,0.0043957857,0.0002385118,0.0012085086,0.044893138,0.0003330506,0.00060989644,0.21413511],"study_design_scores_gemma":[0.0017565696,0.016874965,0.87538373,0.000370779,0.003469084,0.044325184,0.00056907267,0.013430987,0.035003517,0.0005116535,0.008169419,0.00013501149],"about_ca_topic_score_codex":0.0012695029,"about_ca_topic_score_gemma":0.0018628025,"teacher_disagreement_score":0.0020212145,"about_ca_system_score_codex":0.00038725787,"about_ca_system_score_gemma":0.00042663017,"threshold_uncertainty_score":0.010689318},"labels":[],"label_agreement":null},{"id":"W1996791549","doi":"10.1007/s00259-015-3028-3","title":"Biodistribution and radiation dosimetry of 82Rb at rest and during peak pharmacological stress in patients referred for myocardial perfusion imaging","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Merck Canada Inc. (Canada); Carleton University; University of Ottawa","funders":"University of Ottawa","keywords":"Medicine; Nuclear medicine; Dosimetry; Myocardial perfusion imaging; Biodistribution; Coronary artery disease; Effective dose (radiation); Cardiac PET; Perfusion; Positron emission tomography; Radiology; Internal medicine","score_opus":0.014320478325818519,"score_gpt":0.2716277511459518,"score_spread":0.25730727282013327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996791549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952376,0.00020773374,0.00006179576,0.000016147544,0.000001684215,0.0000021718217,0.000025123525,0.0000031460506,0.00015842967],"genre_scores_gemma":[0.9997036,0.00008507862,0.00005223059,0.000021818762,0.000005268215,0.0000036193858,0.00005023441,0.000004544756,0.00007370858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985206,0.000048741345,0.000011844418,0.000030161613,0.000015861982,0.000041345455],"domain_scores_gemma":[0.99954873,0.00020042407,0.000090973306,0.00004026604,0.00003976612,0.00007984759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030643816,0.00026196093,0.00038758508,0.00040089758,0.00019643927,0.0005683161,0.00026800815,0.0006347561,0.0007654724],"category_scores_gemma":[0.0017034521,0.00028154912,0.00031698553,0.00029674795,0.00035625926,0.00030225157,0.0001907608,0.00040467898,0.0002604453],"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":[0.015644621,0.00064533175,0.8832547,0.00010399265,0.00015319306,0.005183708,0.0016315989,0.0009580229,0.076570556,0.00013686586,0.0002527635,0.015464612],"study_design_scores_gemma":[0.00008444477,0.0030896848,0.98718053,0.000013311272,0.00012547232,0.0028547677,0.0005126596,0.0010842051,0.004750073,0.000055476758,0.00023007265,0.000019359293],"about_ca_topic_score_codex":0.0015229986,"about_ca_topic_score_gemma":0.0010515318,"teacher_disagreement_score":0.0015229986,"about_ca_system_score_codex":0.0003979078,"about_ca_system_score_gemma":0.00021480232,"threshold_uncertainty_score":0.0030283332},"labels":[],"label_agreement":null},{"id":"W1996918021","doi":"10.1007/s00259-003-1157-6","title":"Therapy of non-Hodgkin's lymphoma","year":2003,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Lymphoma; Medicine; Follicular lymphoma; Chemotherapy; Radiation therapy; Working Formulation; Radioimmunotherapy; Stage (stratigraphy); Non-Hodgkin's lymphoma; Oncology; Pathology; Internal medicine; Immunology; Biology","score_opus":0.03347218143483415,"score_gpt":0.31928980589477424,"score_spread":0.2858176244599401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996918021","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014019007,0.99900347,0.000097439195,0.000080824015,0.00009823452,0.0000037403556,0.000009048041,0.00000503976,0.00056203874],"genre_scores_gemma":[0.0015943712,0.9973678,0.00021177554,0.00023500329,0.0001468396,0.000006730655,0.000032834567,0.0000020001212,0.00040268197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997708,0.000054165015,0.000042459098,0.000047749523,0.00006629554,0.000018538449],"domain_scores_gemma":[0.9996245,0.00021681024,0.00006645997,0.000013333218,0.000057702564,0.00002113757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055396935,0.0007756508,0.0022107784,0.0019694788,0.00025132357,0.00073274353,0.0012260461,0.00091152877,0.0026237485],"category_scores_gemma":[0.00080554385,0.0002504173,0.00060541154,0.0016880392,0.00043569764,0.0007925602,0.00044330128,0.0013956705,0.0014717192],"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":[0.00013821588,0.000103065584,0.00021671745,0.016449744,0.00016026979,0.00043171833,0.000041170108,0.0003670166,0.0010899965,0.0007741926,0.014386152,0.96584165],"study_design_scores_gemma":[0.00015612692,0.00032278043,0.0024422463,0.006148103,0.0006829203,0.007472924,0.0000831393,0.00018032861,0.00091969565,0.0010369513,0.9805234,0.000031430423],"about_ca_topic_score_codex":0.0012201407,"about_ca_topic_score_gemma":0.0022828607,"teacher_disagreement_score":0.0026237485,"about_ca_system_score_codex":0.0006058508,"about_ca_system_score_gemma":0.0006326311,"threshold_uncertainty_score":0.008777261},"labels":[],"label_agreement":null},{"id":"W1998316113","doi":"10.1007/s00259-010-1581-3","title":"Levodopa and pramipexole effects on presynaptic dopamine PET markers and estimated dopamine release","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; TRIUMF","keywords":"Levodopa; Pramipexole; Dopamine; Raclopride; Vesicular monoamine transporter; Dopaminergic; Dopamine transporter; Parkinson's disease; Internal medicine; Dopamine agonist; Chemistry; Endocrinology; Pharmacology; Psychology; Medicine; Monoamine neurotransmitter; Serotonin; Receptor","score_opus":0.008633631813550676,"score_gpt":0.24687619853784593,"score_spread":0.23824256672429525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998316113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963062,0.001754201,0.00024005902,0.00006823736,0.00003920418,0.00003102623,0.00023125562,0.000024004561,0.0013058861],"genre_scores_gemma":[0.99797755,0.00048008672,0.0002769979,0.000041110892,0.000026303773,0.000022125676,0.00016405966,0.000009598896,0.0010022451],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999688,0.00013218564,0.00003053007,0.000039928083,0.000051397474,0.000058039255],"domain_scores_gemma":[0.9994332,0.00032031,0.00005814106,0.000057271227,0.00004542078,0.000085640095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035951394,0.0005597731,0.0008439413,0.00020576241,0.0002393338,0.00038292914,0.00031693932,0.00081979966,0.0022592451],"category_scores_gemma":[0.0016291683,0.00036502827,0.00035668965,0.00020175223,0.00045552102,0.00056288106,0.00019946593,0.0009725356,0.00027459208],"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":[0.38547188,0.002833079,0.0139485495,0.00030416308,0.0007742844,0.0012803326,0.00046261647,0.00153967,0.5280177,0.0003905561,0.0005585022,0.06441864],"study_design_scores_gemma":[0.0059543676,0.085337885,0.26927504,0.000053313353,0.0013232034,0.0026153547,0.0004207288,0.009311356,0.6219645,0.0003585509,0.0032718866,0.000113843555],"about_ca_topic_score_codex":0.0025475612,"about_ca_topic_score_gemma":0.0046191276,"teacher_disagreement_score":0.0025475612,"about_ca_system_score_codex":0.00041223006,"about_ca_system_score_gemma":0.0004603125,"threshold_uncertainty_score":0.007557988},"labels":[],"label_agreement":null},{"id":"W2007326830","doi":"10.1007/s00259-010-1386-4","title":"Utility of positron emission tomography for tumour surveillance in children with neurofibromatosis type 1","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurofibromatosis and Schwannoma Cases","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Neurofibromatosis; Positron emission tomography; Nuclear medicine; Confidence interval; Avidity; Radiology; Interquartile range; Surgery; Internal medicine","score_opus":0.008586209178808793,"score_gpt":0.23845328751631556,"score_spread":0.22986707833750677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007326830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923807,0.0032204608,0.00029183208,0.00034754333,0.00001817682,0.000012172039,0.000086713284,0.000028615437,0.0036137807],"genre_scores_gemma":[0.9982687,0.0011078104,0.00040281704,0.00004690804,0.00002812879,0.0000043926993,0.00004419207,0.000007271744,0.00008984746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999584,0.00013341117,0.00006444215,0.00005084035,0.00006643833,0.00010081387],"domain_scores_gemma":[0.99831605,0.0010208257,0.00023236433,0.00006498799,0.00017974792,0.00018603369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075296237,0.0006353256,0.0004407409,0.0016920932,0.00048529598,0.00079033506,0.00060683786,0.0012860261,0.0008416694],"category_scores_gemma":[0.00647344,0.00035746428,0.00046937677,0.00077725487,0.0007250279,0.0011111484,0.00037586762,0.000792447,0.0001950144],"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":[0.00030612852,0.000051665695,0.93840986,0.00005922981,0.000024482237,0.04588529,0.0003204865,0.0007859003,0.00237303,0.00014457206,0.00026893284,0.011370439],"study_design_scores_gemma":[0.00004504906,0.0009391758,0.7360475,0.00015083523,0.00024940466,0.24571642,0.0016811001,0.006027271,0.0066316547,0.000322497,0.0021418394,0.000047243888],"about_ca_topic_score_codex":0.008310267,"about_ca_topic_score_gemma":0.0073744035,"teacher_disagreement_score":0.008310267,"about_ca_system_score_codex":0.0007564379,"about_ca_system_score_gemma":0.0009306339,"threshold_uncertainty_score":0.016523778},"labels":[],"label_agreement":null},{"id":"W2007652049","doi":"10.1007/s00259-014-2736-4","title":"Attenuated right ventricular energetics evaluated using 11C-acetate PET in patients with pulmonary hypertension","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Heart Institute; University of Ottawa","funders":"","keywords":"Ventricle; Pulmonary hypertension; Cardiology; Internal medicine; Medicine; Ejection fraction; Heart failure","score_opus":0.014519866563328633,"score_gpt":0.24493312120370186,"score_spread":0.23041325464037324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007652049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798954,0.0005648026,0.00014359497,0.00008405284,0.000009165383,0.000006401733,0.000069957176,0.0000049582445,0.0011276258],"genre_scores_gemma":[0.99962175,0.00012101398,0.000046344405,0.000028561275,0.000020027695,0.0000031924467,0.00005412632,0.0000017623103,0.00010323006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998611,0.00002865174,0.000018214378,0.000032703032,0.00002726576,0.00003202221],"domain_scores_gemma":[0.99964595,0.00012857746,0.0000813681,0.000022594957,0.000029800323,0.00009163542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023785765,0.0004651776,0.00049148477,0.00040638883,0.00028207386,0.00056935195,0.00024583898,0.000868079,0.0012690066],"category_scores_gemma":[0.00094410847,0.00021315627,0.00022069766,0.0002912984,0.0004156235,0.00043636933,0.00021574569,0.00055098726,0.0002096447],"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":[0.0033854465,0.0002135387,0.96184766,0.000054601842,0.00011408558,0.013963509,0.0002500967,0.00036851873,0.013880369,0.00012319122,0.000121443125,0.0056776586],"study_design_scores_gemma":[0.0000618008,0.00057537394,0.9882261,0.000015099752,0.000118997326,0.0083283065,0.00024076596,0.000765611,0.0012871551,0.00013967541,0.00022921767,0.000011811491],"about_ca_topic_score_codex":0.000981227,"about_ca_topic_score_gemma":0.00096744957,"teacher_disagreement_score":0.0012690066,"about_ca_system_score_codex":0.0002230924,"about_ca_system_score_gemma":0.00018941068,"threshold_uncertainty_score":0.004245281},"labels":[],"label_agreement":null},{"id":"W2017195031","doi":"10.1007/s00259-014-2923-3","title":"The great mimicker: an extensive bone sarcoidosis","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Sarcoidosis and Beryllium Toxicity Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Sarcoidosis; Medicine; Dermatology","score_opus":0.020675002685138794,"score_gpt":0.2849060871220993,"score_spread":0.26423108443696053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017195031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88338166,0.012456887,0.010577594,0.024644492,0.0024465646,0.0005970416,0.0010916162,0.001014434,0.06378964],"genre_scores_gemma":[0.9900456,0.001024396,0.002008003,0.0015800586,0.0018956499,0.000037858674,0.000088429944,0.000060956896,0.003258952],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9989147,0.00018414072,0.00009915569,0.0002886995,0.00028301158,0.00023025846],"domain_scores_gemma":[0.99702233,0.0012616883,0.0003175463,0.0004227227,0.00014993004,0.00082576775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006331094,0.0021614837,0.001683792,0.002809194,0.0016617039,0.0015919632,0.0014938184,0.0077922666,0.00607417],"category_scores_gemma":[0.0068209437,0.00096042466,0.0009507082,0.0014205086,0.0019013137,0.0027690886,0.0020819749,0.0031719592,0.0022775366],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001261462,0.000026638292,0.0019387156,0.000036061923,0.000008332314,0.9938188,0.000052434276,0.0001099024,0.0012494886,0.00036848118,0.0005110076,0.0017540168],"study_design_scores_gemma":[0.000030991265,0.00006734884,0.0024652728,0.000008173326,0.000014199258,0.9954911,0.000038913073,0.00035661543,0.00044264738,0.00038760295,0.00068862323,0.000008567746],"about_ca_topic_score_codex":0.0012852852,"about_ca_topic_score_gemma":0.0010765017,"teacher_disagreement_score":0.0077922666,"about_ca_system_score_codex":0.0012070138,"about_ca_system_score_gemma":0.0006933576,"threshold_uncertainty_score":0.020320117},"labels":[],"label_agreement":null},{"id":"W2018992180","doi":"10.1007/s00259-007-0365-x","title":"Brain regional α-[11C]methyl-L-tryptophan trapping, used as an index of 5-HT synthesis, in healthy adults: absence of an age effect","year":2007,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"National Institutes of Health","keywords":"Thalamus; Positron emission tomography; Neuroimaging; Nuclear medicine; 5-HT receptor; Medicine; Voxel; Serotonin; Neuroscience; Psychology; Internal medicine; Radiology; Receptor","score_opus":0.02107619733413713,"score_gpt":0.306077989343562,"score_spread":0.2850017920094249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018992180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985984,0.00054246007,0.00023069583,0.00001937596,0.000014984409,0.000007564787,0.00016408878,0.0000117049785,0.00041069757],"genre_scores_gemma":[0.99900275,0.00018553194,0.00016289188,0.000025108802,0.000008584237,0.000008315479,0.00014725841,0.0000074344525,0.00045223354],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998116,0.00002812974,0.000016763524,0.00008469952,0.000028000439,0.000030840514],"domain_scores_gemma":[0.99932647,0.00016685542,0.00015736865,0.00010624531,0.000058805483,0.00018427725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046500334,0.00046368124,0.0006409312,0.00046731377,0.00034711507,0.00032170696,0.00019313415,0.00058717374,0.0018464685],"category_scores_gemma":[0.0008638844,0.0003427403,0.00020150268,0.00018860925,0.00063523237,0.00037195766,0.00025225646,0.00042012503,0.00036448496],"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":[0.06913603,0.0009987118,0.26574284,0.00027631337,0.0004121783,0.0030341693,0.001831874,0.00021089274,0.6362604,0.00022385534,0.00035801486,0.021514742],"study_design_scores_gemma":[0.00013386877,0.0063152444,0.9563294,0.000009264425,0.00021544081,0.0023073077,0.00031114143,0.00040124165,0.033372227,0.0001234676,0.00046530776,0.000016086273],"about_ca_topic_score_codex":0.0027017351,"about_ca_topic_score_gemma":0.0028877405,"teacher_disagreement_score":0.0027017351,"about_ca_system_score_codex":0.00021777436,"about_ca_system_score_gemma":0.00018498147,"threshold_uncertainty_score":0.006177008},"labels":[],"label_agreement":null},{"id":"W2019590501","doi":"10.1007/s00259-014-2786-7","title":"Potential of hybrid 18F-fluorocholine PET/MRI for prostate cancer imaging","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nuclear medicine; Prostate cancer; Medicine; Effective diffusion coefficient; Prostatectomy; Prostate; Magnetic resonance imaging; Diffusion MRI; Positron emission tomography; Radiology; Cancer; Internal medicine","score_opus":0.007599880900164101,"score_gpt":0.2597692177533262,"score_spread":0.25216933685316206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019590501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5674771,0.19682696,0.17813689,0.004987891,0.000593266,0.00046814088,0.00069847377,0.0013712712,0.04943997],"genre_scores_gemma":[0.92836624,0.013730171,0.04936679,0.0009409708,0.00028553748,0.00013493793,0.0003855997,0.00019082909,0.006598954],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996661,0.0001716088,0.000008494671,0.00005623394,0.000048952457,0.000048684804],"domain_scores_gemma":[0.999627,0.00019958674,0.000028974122,0.000043919135,0.00006171463,0.00003883546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014893706,0.00068056275,0.0006302227,0.00089042017,0.00032639503,0.0015630412,0.0010033408,0.0016366224,0.0031070241],"category_scores_gemma":[0.0010706179,0.0005297501,0.00050326384,0.00053927884,0.0005489099,0.001103734,0.0005854345,0.00070220715,0.0007752436],"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":[0.0061736708,0.0005378982,0.009784804,0.0015347739,0.00053059915,0.004028959,0.00018839266,0.0071784523,0.7561966,0.0048383074,0.003115021,0.2058924],"study_design_scores_gemma":[0.000791013,0.005558838,0.020850785,0.00057346845,0.0024193204,0.040987045,0.00053188106,0.070565045,0.762545,0.006788439,0.08803068,0.00035854822],"about_ca_topic_score_codex":0.0016034708,"about_ca_topic_score_gemma":0.0016603589,"teacher_disagreement_score":0.0031070241,"about_ca_system_score_codex":0.0005011413,"about_ca_system_score_gemma":0.0006579934,"threshold_uncertainty_score":0.010393977},"labels":[],"label_agreement":null},{"id":"W2020659095","doi":"10.1007/s00259-008-1028-2","title":"Cerebral perfusion (HMPAO-SPECT) in patients with depression with cognitive impairment versus those with mild cognitive impairment and dementia of Alzheimer’s type: a semiquantitative and automated evaluation","year":2009,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Posterior cingulate; Internal medicine; Cardiology; Medicine; Perfusion; Depression (economics); Cerebral perfusion pressure; Montreal Cognitive Assessment; Superior frontal gyrus; Cerebral blood flow; Psychology; Radiology; Cognition; Magnetic resonance imaging; Psychiatry","score_opus":0.023565646818076172,"score_gpt":0.32130338425281096,"score_spread":0.2977377374347348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020659095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993492,0.00015842328,0.000073680065,0.000009467797,0.0000034505777,0.000011163847,0.00004222951,0.0000019844747,0.00035036867],"genre_scores_gemma":[0.99957365,0.000063229505,0.00016024862,0.000010838907,0.000005996714,0.0000099035,0.000083055056,0.000001124836,0.00009201655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995807,0.00016683676,0.000060559836,0.000054726752,0.00008437806,0.000052861895],"domain_scores_gemma":[0.9986236,0.00055638957,0.0003237407,0.000060373262,0.00022913478,0.00020682272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012930046,0.00041138372,0.00052931247,0.0011620838,0.00030670385,0.00058191805,0.000276293,0.00052237517,0.0010398033],"category_scores_gemma":[0.0034600052,0.0002455387,0.00037884913,0.000543102,0.0004389204,0.00077079027,0.0004136695,0.00028001174,0.00016936133],"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":[0.0074546025,0.00022358986,0.9800812,0.00006175537,0.00027719073,0.00040410517,0.00038218824,0.00020639732,0.002602293,0.000057183974,0.00011253639,0.008137064],"study_design_scores_gemma":[0.00016887572,0.0016912547,0.99538404,0.0000070255387,0.000095033094,0.00077331247,0.0003295072,0.00095885707,0.00041935008,0.00006209534,0.00009973954,0.000010883951],"about_ca_topic_score_codex":0.0013951416,"about_ca_topic_score_gemma":0.0023954075,"teacher_disagreement_score":0.0013951416,"about_ca_system_score_codex":0.00028244848,"about_ca_system_score_gemma":0.00019620977,"threshold_uncertainty_score":0.006838143},"labels":[],"label_agreement":null},{"id":"W2021419428","doi":"10.1007/s00259-014-2763-1","title":"Safety of ventilation/perfusion single photon emission computed tomography for pulmonary embolism diagnosis","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Pulmonary embolism; Pulmonary angiography; Nuclear medicine; Single-photon emission computed tomography; Emission computed tomography; Radiology; Pre- and post-test probability; Scintigraphy; Positron emission tomography; Internal medicine","score_opus":0.011955413774660206,"score_gpt":0.24142233848804268,"score_spread":0.22946692471338248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021419428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94585925,0.011384761,0.02241148,0.00542733,0.0006117338,0.000093423434,0.00037030573,0.00025614124,0.013585688],"genre_scores_gemma":[0.9960652,0.00064589526,0.0017073613,0.0008609523,0.00026463578,0.000014252108,0.00011192151,0.000024283821,0.00030542235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971334,0.001267819,0.00023039056,0.00024069178,0.0009916722,0.00013605338],"domain_scores_gemma":[0.97213787,0.018946188,0.0025141966,0.0021251764,0.0034394825,0.0008370989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002989969,0.00033923177,0.0005715474,0.00064665487,0.0005618125,0.0010664536,0.00057205046,0.0018164287,0.0014746379],"category_scores_gemma":[0.020895831,0.000163758,0.0005302148,0.00039213206,0.0005147554,0.00061686547,0.0003510828,0.0013831484,0.00059952616],"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":[0.0072707697,0.00036161908,0.66946423,0.00042066487,0.0002876202,0.025448723,0.0009993758,0.0024131641,0.021583708,0.0025206527,0.0060035335,0.2632259],"study_design_scores_gemma":[0.0005469961,0.007815581,0.68103445,0.0012212613,0.0010469559,0.13530028,0.0018178043,0.04746497,0.07025239,0.0130833555,0.04024093,0.00017490433],"about_ca_topic_score_codex":0.001153682,"about_ca_topic_score_gemma":0.0008975767,"teacher_disagreement_score":0.002989969,"about_ca_system_score_codex":0.00074762036,"about_ca_system_score_gemma":0.0013016367,"threshold_uncertainty_score":0.015812635},"labels":[],"label_agreement":null},{"id":"W2024314154","doi":"10.1007/s00259-013-2458-z","title":"Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer’s disease dementia","year":2013,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Dementia; Clinical Dementia Rating; Receiver operating characteristic; Context (archaeology); Neuroimaging; Medicine; Logistic regression; Cohort; Alzheimer's disease; Internal medicine; Frontotemporal dementia; Positron emission tomography; Alzheimer's Disease Neuroimaging Initiative; Psychology; Disease; Nuclear medicine; Psychiatry","score_opus":0.015693070340330052,"score_gpt":0.27829527428722195,"score_spread":0.2626022039468919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024314154","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.771135,0.0020048495,0.22205813,0.0001591033,0.00005899271,0.00014514981,0.0012669541,0.0018376631,0.0013341174],"genre_scores_gemma":[0.95288944,0.00024242408,0.04548168,0.000042473956,0.00003718013,0.00007373167,0.0006654698,0.000094778305,0.00047281646],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992041,0.0003775056,0.000052406267,0.00018237691,0.00012733709,0.000056255252],"domain_scores_gemma":[0.9983132,0.0010575752,0.00015145332,0.00015622505,0.00028161597,0.000039925035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002001719,0.000584993,0.0010222738,0.002092243,0.00034318384,0.0010666227,0.0006398884,0.0007012896,0.0008199977],"category_scores_gemma":[0.00327891,0.00039296897,0.0006284503,0.00082889263,0.00021807775,0.000471063,0.00043515823,0.00032393672,0.00031038316],"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":[0.0046227686,0.00064410816,0.19598322,0.00037528205,0.0012995637,0.00076493237,0.00039363033,0.04871748,0.12428066,0.0013217778,0.0031392116,0.61845744],"study_design_scores_gemma":[0.00009372433,0.0004936644,0.27912045,0.000033369903,0.00041308455,0.0019054143,0.00010335005,0.69267154,0.020496728,0.0027744775,0.0018173251,0.000076950164],"about_ca_topic_score_codex":0.0030006603,"about_ca_topic_score_gemma":0.005642417,"teacher_disagreement_score":0.0030006603,"about_ca_system_score_codex":0.00029284245,"about_ca_system_score_gemma":0.0005139249,"threshold_uncertainty_score":0.010586202},"labels":[],"label_agreement":null},{"id":"W2024786905","doi":"10.1007/s00259-013-2559-8","title":"Somatostatin-based radiopeptide therapy with [177Lu-DOTA]-TOC versus [90Y-DOTA]-TOC in neuroendocrine tumours","year":2013,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"DOTA; Medicine; Confidence interval; Nuclear medicine; Adverse effect; Hazard ratio; Urology; Internal medicine; Chemistry; Chelation","score_opus":0.017757498197508468,"score_gpt":0.280850469832742,"score_spread":0.2630929716352335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024786905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956691,0.0022304861,0.00047622042,0.00014215098,0.00017132101,0.00008797689,0.00007966559,0.000031609343,0.0011115385],"genre_scores_gemma":[0.99728644,0.0010209216,0.0007036798,0.00007680992,0.00008051184,0.00011141926,0.0001250709,0.000024512143,0.00057070056],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99956614,0.00015492819,0.000040239982,0.00006323615,0.000043260432,0.00013211205],"domain_scores_gemma":[0.9996094,0.00015460532,0.000056177796,0.000037074216,0.000018900873,0.00012384028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082251173,0.00045425596,0.0017286424,0.0003866352,0.00033130703,0.000773071,0.00076112925,0.0011023717,0.0018988585],"category_scores_gemma":[0.0008608055,0.0003016752,0.00048515026,0.00049175165,0.00070435734,0.001092547,0.0003041278,0.0014441774,0.00031787952],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5948935,0.012413077,0.002276495,0.0011460055,0.0007634202,0.000799426,0.000513495,0.0067335884,0.29160807,0.0015372908,0.0014415064,0.08587426],"study_design_scores_gemma":[0.09928508,0.6141424,0.01856912,0.0001257768,0.0032029145,0.0029345243,0.00057443965,0.021488884,0.22787075,0.000815874,0.010778493,0.00021175666],"about_ca_topic_score_codex":0.0023137894,"about_ca_topic_score_gemma":0.0025919322,"teacher_disagreement_score":0.0023137894,"about_ca_system_score_codex":0.0008567255,"about_ca_system_score_gemma":0.0008716626,"threshold_uncertainty_score":0.0063523054},"labels":[],"label_agreement":null},{"id":"W2027245586","doi":"10.1007/s00259-014-2956-7","title":"Clinically relevant strategies for lowering cardiomyocyte glucose uptake for 18F-FDG imaging of myocardial inflammation in mice","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Deutscher Akademischer Austauschdienst","keywords":"Isoflurane; Medicine; Xylazine; Ketamine; Myocardial infarction; Heparin; Anesthesia; Positron emission tomography; Inflammation; Fluorodeoxyglucose; Pharmacology; Internal medicine; Nuclear medicine","score_opus":0.011483455645697435,"score_gpt":0.2670463262424363,"score_spread":0.2555628705967389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027245586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93054825,0.012179537,0.04309993,0.003496384,0.0012692161,0.0022311728,0.001595345,0.0008929509,0.0046871738],"genre_scores_gemma":[0.9223841,0.0063201413,0.05775409,0.0016129282,0.00021460491,0.0030516714,0.0014222935,0.00021245534,0.0070276414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993875,0.0001193537,0.00005512544,0.00014525614,0.00010080213,0.00019189874],"domain_scores_gemma":[0.99977356,0.000026756585,0.00006960273,0.000027372975,0.000020071773,0.00008274133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009878657,0.0013799486,0.0010113235,0.00060272514,0.00045092468,0.0009806453,0.0009299049,0.0018626509,0.0024141944],"category_scores_gemma":[0.00030844685,0.0006023633,0.0008046642,0.00027166776,0.00082742487,0.0006089009,0.00044547673,0.0029609473,0.0005619692],"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":[0.0021540816,0.0008151288,0.00014846933,0.0001664126,0.00003373801,0.00008573297,0.00003986292,0.0001807681,0.99145,0.0004781537,0.00038736398,0.0040602325],"study_design_scores_gemma":[0.0012133875,0.006438874,0.0009105394,0.000050248833,0.00016531326,0.00019186443,0.00007105222,0.0007149582,0.98392963,0.00027037,0.0060200347,0.000023790257],"about_ca_topic_score_codex":0.00062799704,"about_ca_topic_score_gemma":0.0021062444,"teacher_disagreement_score":0.0024141944,"about_ca_system_score_codex":0.0006632149,"about_ca_system_score_gemma":0.00076097436,"threshold_uncertainty_score":0.00807631},"labels":[],"label_agreement":null},{"id":"W2027455494","doi":"10.1007/s00259-011-1967-x","title":"The impact of 18F-FDG PET on the management of patients with suspected large vessel vasculitis","year":2011,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Gottfried und Julia Bangerter-Rhyner-Stiftung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Positron emission tomography; Context (archaeology); Vasculitis; Confidence interval; Radiology; Internal medicine; Medical diagnosis; Nuclear medicine; Disease","score_opus":0.009041530097386643,"score_gpt":0.22549915916040056,"score_spread":0.2164576290630139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027455494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90230316,0.058340292,0.0011521766,0.02061026,0.0008129514,0.00008880193,0.00019638053,0.000062369116,0.016433554],"genre_scores_gemma":[0.99130803,0.005571687,0.0006745497,0.0012669405,0.0008164209,0.000018218836,0.00009088081,0.000012175765,0.00024107454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894565,0.00047990464,0.00012330437,0.00007287839,0.00025224258,0.00012607012],"domain_scores_gemma":[0.9964561,0.0023387368,0.000260716,0.00006048394,0.0003369263,0.0005471045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014371058,0.0006199506,0.0010141704,0.0006888752,0.0006489609,0.0012288621,0.00066457177,0.0018201735,0.0010202549],"category_scores_gemma":[0.012288824,0.00032860966,0.00060156954,0.0005130302,0.00056089973,0.0010702417,0.0003458391,0.001955105,0.00023798537],"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":[0.016036432,0.0015268808,0.61356395,0.0006678707,0.00054360455,0.05484751,0.0008251075,0.005007666,0.0062706433,0.0006826654,0.008361834,0.29166582],"study_design_scores_gemma":[0.0011126839,0.005517335,0.9125931,0.00089242373,0.0008840099,0.051663984,0.001984666,0.010653864,0.0020426186,0.0014022761,0.011107246,0.0001458329],"about_ca_topic_score_codex":0.002941442,"about_ca_topic_score_gemma":0.004269402,"teacher_disagreement_score":0.002941442,"about_ca_system_score_codex":0.0008701895,"about_ca_system_score_gemma":0.0011013362,"threshold_uncertainty_score":0.007600248},"labels":[],"label_agreement":null},{"id":"W2029070398","doi":"10.1007/s00259-006-0199-y","title":"PET imaging of apoptosis with 64Cu-labeled streptavidin following pretargeting of phosphatidylserine with biotinylated annexin-V","year":2006,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRIUMF; Université de Sherbrooke","funders":"","keywords":"Phosphatidylserine; Apoptosis; Biotinylation; Pretargeting; Annexin; In vivo; Positron emission tomography; Biotin; Photodynamic therapy; Cancer research; Streptavidin; Avidin; Molecular imaging; Annexin A5; Pathology; Chemistry; Medicine; Nuclear medicine; Biology; Immunology; Biochemistry; Radioimmunotherapy; Phospholipid","score_opus":0.0031667544816111537,"score_gpt":0.1931002446388702,"score_spread":0.18993349015725905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029070398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602044,0.0041821236,0.024796424,0.0007492362,0.00009502691,0.000083594896,0.0002667285,0.0002478354,0.009374578],"genre_scores_gemma":[0.9709526,0.0017672124,0.016178822,0.00016234578,0.000030007075,0.0000902216,0.00044511622,0.00007175218,0.010301878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986553,0.000030696134,0.0000045048873,0.000022867976,0.000019827517,0.00005659771],"domain_scores_gemma":[0.99985564,0.00005941419,0.000023215263,0.000016558639,0.000023648256,0.00002149208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035904694,0.00034359927,0.0003944032,0.00038353686,0.0003194176,0.00076908624,0.0005705767,0.0010492272,0.0017624804],"category_scores_gemma":[0.0003809736,0.0003570062,0.00025874766,0.00044793627,0.0003196409,0.0004192976,0.00021992634,0.00091764436,0.00041765088],"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":[0.0012214454,0.00009727477,0.00054376334,0.00012879368,0.000021085372,0.0006330994,0.00009775706,0.00053812505,0.99031925,0.0012028825,0.00033389244,0.0048626745],"study_design_scores_gemma":[0.00012018449,0.0005373071,0.0053054113,0.000018854043,0.00006860888,0.002336343,0.00011110416,0.008734137,0.97895676,0.00033032917,0.003465642,0.0000152240345],"about_ca_topic_score_codex":0.0021058295,"about_ca_topic_score_gemma":0.0019979663,"teacher_disagreement_score":0.0021058295,"about_ca_system_score_codex":0.0006603685,"about_ca_system_score_gemma":0.0004135047,"threshold_uncertainty_score":0.0058960915},"labels":[],"label_agreement":null},{"id":"W2032300365","doi":"10.1007/s00259-005-0036-8","title":"Cross-camera comparison of SPECT measurements of a 3-D anthropomorphic basal ganglia phantom","year":2006,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Nuclear medicine; Medicine; Basal ganglia; Internal medicine; Central nervous system","score_opus":0.0382182612528409,"score_gpt":0.3225351925334995,"score_spread":0.2843169312806586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032300365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8973281,0.0010716808,0.08773614,0.00029780797,0.0001588303,0.0002369514,0.002112483,0.0012368489,0.0098212175],"genre_scores_gemma":[0.976454,0.00032565757,0.019485824,0.0001241118,0.000025667205,0.00004696045,0.0012186709,0.0004557055,0.0018634215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999466,0.00016050113,0.000060581828,0.00008814637,0.00014588021,0.00007894355],"domain_scores_gemma":[0.99750644,0.0011707915,0.00014951554,0.00016429323,0.0008885798,0.00012040223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011020247,0.0005929066,0.00040152753,0.001665805,0.00028528637,0.0014158444,0.0004934563,0.0012405833,0.0053221416],"category_scores_gemma":[0.004825671,0.00067580515,0.00047209917,0.0008093301,0.00037791993,0.000687493,0.00085605524,0.0005502669,0.00070118613],"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":[0.016866159,0.0007349538,0.05316301,0.0011890179,0.0009390601,0.0061320346,0.0034753396,0.04308492,0.7361745,0.0026668676,0.0039939526,0.13158017],"study_design_scores_gemma":[0.0006276593,0.0032827072,0.43894315,0.0002447441,0.0017964899,0.026689569,0.0024378612,0.15193284,0.3623737,0.00084957585,0.010322086,0.0004996216],"about_ca_topic_score_codex":0.007008801,"about_ca_topic_score_gemma":0.0082646385,"teacher_disagreement_score":0.007008801,"about_ca_system_score_codex":0.00053839444,"about_ca_system_score_gemma":0.0005495989,"threshold_uncertainty_score":0.017804265},"labels":[],"label_agreement":null},{"id":"W2034174018","doi":"10.1007/s00259-004-1604-z","title":"18F-FDG PET in children with lymphomas","year":2004,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Québec","funders":"","keywords":"Medicine; Positron emission tomography; Nuclear medicine; Lymphoma; Radiology; Internal medicine","score_opus":0.006391153753171287,"score_gpt":0.2235045582695621,"score_spread":0.2171134045163908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034174018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857702,0.006073544,0.00036650486,0.0011799006,0.00004520903,0.000023146935,0.0002918059,0.00006112793,0.0061884453],"genre_scores_gemma":[0.99645907,0.002421416,0.0003672232,0.00015373493,0.000076008706,0.000010379705,0.00016109929,0.000015391117,0.00033553812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994673,0.00009069096,0.00008136357,0.00006913052,0.00008148417,0.00020995481],"domain_scores_gemma":[0.9990336,0.0004237795,0.00018323727,0.000045389024,0.000114193994,0.00019980886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006539517,0.0006455468,0.0008127425,0.0018030016,0.00075875607,0.0008133635,0.0006273127,0.0017470963,0.0020634395],"category_scores_gemma":[0.0025029941,0.0006101697,0.00060304516,0.0012572363,0.00096468034,0.0013365448,0.00039846657,0.0011467453,0.00045296006],"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":[0.0007085585,0.00014426642,0.7913575,0.00012906468,0.00004091632,0.18899868,0.00038908573,0.00060905836,0.0033490148,0.00021699979,0.0012111278,0.012845752],"study_design_scores_gemma":[0.0000817749,0.00051388144,0.43130362,0.00011408609,0.00018610773,0.5587009,0.00093806593,0.0011471212,0.0036153838,0.00033768697,0.0030301157,0.000031250143],"about_ca_topic_score_codex":0.008673226,"about_ca_topic_score_gemma":0.0060210726,"teacher_disagreement_score":0.008673226,"about_ca_system_score_codex":0.0014486664,"about_ca_system_score_gemma":0.0011075262,"threshold_uncertainty_score":0.017245471},"labels":[],"label_agreement":null},{"id":"W2034280599","doi":"10.1007/s002590050031","title":"What is the message of a meeting? Analysis and comparison of the 2458 abstracts of the EANM/WCNMB congress in Berlin and the SNM meeting in Toronto in 1998","year":2000,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Computer science; Medical physics; Quality assurance; Medical education; Medicine; Library science; Pathology","score_opus":0.011864211518589778,"score_gpt":0.30440601153855906,"score_spread":0.29254180001996927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034280599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78121567,0.028870378,0.0039841477,0.045972236,0.0074216104,0.00075283286,0.023994025,0.00060080056,0.107188284],"genre_scores_gemma":[0.9652444,0.0055061197,0.0017897127,0.003503334,0.0026113705,0.00047857367,0.0067504705,0.00024342032,0.013872449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98776996,0.004079674,0.00089599733,0.00066041475,0.00559753,0.0009963848],"domain_scores_gemma":[0.88553345,0.058471348,0.018958377,0.0019436044,0.028309233,0.006783953],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.010890851,0.00034908231,0.0005548558,0.0071127587,0.0014471228,0.003321558,0.0008347494,0.0009124164,0.010984223],"category_scores_gemma":[0.10321269,0.00022629452,0.00060573156,0.0072001354,0.00053274166,0.0017862202,0.001633242,0.001174646,0.002887959],"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":[0.0071495315,0.00041377541,0.41865316,0.0033368676,0.00084960414,0.0007985365,0.015823206,0.0009392556,0.0016155407,0.00575406,0.15411283,0.39055356],"study_design_scores_gemma":[0.00013178495,0.00050606387,0.82639146,0.0007614035,0.00039288524,0.00043581933,0.022013335,0.0014933712,0.00057802297,0.0015067281,0.14569445,0.00009473141],"about_ca_topic_score_codex":0.004283926,"about_ca_topic_score_gemma":0.0063403305,"teacher_disagreement_score":0.99288726,"about_ca_system_score_codex":0.0027293882,"about_ca_system_score_gemma":0.0022457936,"threshold_uncertainty_score":0.05759704},"labels":[],"label_agreement":null},{"id":"W2034822827","doi":"10.1007/s00259-008-1054-0","title":"Novel detector technology for clinical PET","year":2008,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Positron emission tomography; Modality (human–computer interaction); Magnetic resonance imaging; PET-CT; Medical physics; Modalities; Medical imaging; Preclinical imaging; Medicine; Nuclear medicine; Tomography; Radiology; Computer science; Artificial intelligence","score_opus":0.09917847157219492,"score_gpt":0.4188205466968043,"score_spread":0.3196420751246094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034822827","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039373344,0.9853275,0.007695349,0.0008140017,0.000713355,0.000029181214,0.00004821945,0.00007843115,0.0049003465],"genre_scores_gemma":[0.005194248,0.9723751,0.011917571,0.0018100933,0.00093869964,0.000083490704,0.0001817528,0.00004119352,0.0074578365],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940526,0.00013961656,0.000055572884,0.00015183417,0.00020140424,0.000046354875],"domain_scores_gemma":[0.99903333,0.0005831267,0.000090439076,0.00005493899,0.00019373855,0.00004444926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019863946,0.0016330649,0.0022745542,0.002333608,0.00035000104,0.0017517112,0.002271576,0.0029410028,0.004959498],"category_scores_gemma":[0.0016400699,0.00093983236,0.0009215017,0.0022580998,0.0014172791,0.0028825596,0.0014317428,0.0036457393,0.0057940413],"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":[0.00013300248,0.00011265191,0.00021694851,0.007045948,0.00007976387,0.000525226,0.000053466018,0.0004689785,0.009579408,0.0085032955,0.030761862,0.9425195],"study_design_scores_gemma":[0.00003530328,0.00016349329,0.00048365383,0.0009571923,0.00010947472,0.005380452,0.000027686488,0.000607391,0.007461033,0.003604135,0.98111844,0.00005170465],"about_ca_topic_score_codex":0.00059801724,"about_ca_topic_score_gemma":0.0008106472,"teacher_disagreement_score":0.004959498,"about_ca_system_score_codex":0.0011216999,"about_ca_system_score_gemma":0.0014114489,"threshold_uncertainty_score":0.016591132},"labels":[],"label_agreement":null},{"id":"W2036524999","doi":"10.1007/s00259-013-2504-x","title":"Rapid blood clearance and lack of long-term renal toxicity of 177Lu-DOTATATE enables shortening of renoprotective amino acid infusion","year":2013,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Australian Government; Erasmus+; Victorian Cancer Agency","keywords":"Nephrotoxicity; Renal function; Medicine; Urology; Clearance; Toxicity; Kidney; Urinary system; Internal medicine","score_opus":0.02364399512423609,"score_gpt":0.2874749286443636,"score_spread":0.2638309335201275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036524999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97473335,0.0020604297,0.021279722,0.00012264759,0.000041188025,0.000061722385,0.00009179836,0.00027676008,0.0013324667],"genre_scores_gemma":[0.99227273,0.00044352104,0.0059776525,0.000048641647,0.000016530335,0.000042462914,0.000119078606,0.00007872598,0.0010007028],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982077,0.000035199573,0.000013660786,0.000041292344,0.00004312816,0.00004595095],"domain_scores_gemma":[0.9998047,0.000043122447,0.000051986735,0.00005358033,0.000016890699,0.000029807812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029835897,0.0003791492,0.0005059634,0.00014801492,0.000154466,0.00042992856,0.00030727865,0.00033051235,0.0007698338],"category_scores_gemma":[0.00049771444,0.00018592486,0.00019123936,0.00013167459,0.0003675568,0.00070197275,0.0002672712,0.00070890656,0.0003189119],"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":[0.0014862617,0.00008173071,0.00042312767,0.0000562012,0.000012585519,0.0000884762,0.000033789853,0.00019009957,0.98730785,0.0004317973,0.00008177359,0.009806325],"study_design_scores_gemma":[0.0000781985,0.0008207189,0.0020069894,0.0000047199906,0.000039180155,0.0005995802,0.000010872251,0.0013479199,0.99266535,0.00012252822,0.002294723,0.00000914475],"about_ca_topic_score_codex":0.0003472834,"about_ca_topic_score_gemma":0.00035677347,"teacher_disagreement_score":0.0007698338,"about_ca_system_score_codex":0.00021259669,"about_ca_system_score_gemma":0.00046982686,"threshold_uncertainty_score":0.002575338},"labels":[],"label_agreement":null},{"id":"W2041300144","doi":"10.1007/s00259-013-2617-2","title":"Factors affecting the myocardial activity acquired during exercise SPECT with a high-sensitivity cardiac CZT camera as compared with conventional Anger camera","year":2013,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Medicine; Nuclear medicine; Technetium; Internal medicine; Cardiology; Radiology","score_opus":0.010034814271475075,"score_gpt":0.22749905820680588,"score_spread":0.21746424393533081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041300144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998142,0.00036653565,0.0008165965,0.000021890995,0.0000059959193,0.0000139595295,0.00004797374,0.000006289821,0.00057878473],"genre_scores_gemma":[0.9992555,0.00014147558,0.00024853976,0.000013782839,0.000008839333,0.000008047053,0.0000638099,0.0000069968833,0.00025296028],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998178,0.00004889834,0.000015593147,0.000033303506,0.000042923934,0.000041502255],"domain_scores_gemma":[0.99918646,0.0004335818,0.00015353743,0.00003508263,0.00009840321,0.000092943446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036661804,0.00022132162,0.00026911867,0.00026303786,0.00012817845,0.00049397425,0.00012339657,0.00028952223,0.0012505429],"category_scores_gemma":[0.0019009779,0.00010626104,0.00013693668,0.00026363565,0.00024027948,0.00019563385,0.00011147447,0.00023596859,0.000117854004],"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":[0.019498287,0.00028294642,0.31450164,0.00020237705,0.00023073425,0.0019464472,0.00064117974,0.00072316325,0.6366232,0.00022177944,0.000173931,0.024954338],"study_design_scores_gemma":[0.000053220632,0.0011246229,0.963876,0.000010456144,0.00015365382,0.0015436447,0.0002288442,0.0011699337,0.031528343,0.00004623236,0.00024907343,0.000015937241],"about_ca_topic_score_codex":0.0017277227,"about_ca_topic_score_gemma":0.002435035,"teacher_disagreement_score":0.0017277227,"about_ca_system_score_codex":0.0001766203,"about_ca_system_score_gemma":0.00021369634,"threshold_uncertainty_score":0.004183471},"labels":[],"label_agreement":null},{"id":"W2044026568","doi":"10.1007/s00259-008-0728-y","title":"188Re-labelled gemcitabine/bisphosphonate (Gem/BP): a multi-functional, bone-specific agent as a potential treatment for bone metastases","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodistribution; In vivo; Chemistry; Bisphosphonate; Gemcitabine; In vitro; Conjugate; Pharmacokinetics; Pharmacology; Medicine; Chemotherapy; Internal medicine; Osteoporosis; Biochemistry; Biology","score_opus":0.05916528198474063,"score_gpt":0.3051433226276396,"score_spread":0.24597804064289897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044026568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89401954,0.057229422,0.027963573,0.0011876769,0.0003354762,0.0003127568,0.0003685132,0.00049810525,0.018084893],"genre_scores_gemma":[0.96478593,0.009502023,0.019596318,0.00023155223,0.00007625717,0.000066942805,0.00029561322,0.000085403575,0.0053600026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987733,0.000050503993,0.000005667056,0.000024795423,0.000017590975,0.000024024872],"domain_scores_gemma":[0.99994695,0.0000152531475,0.000011391052,0.0000054353795,0.0000048820752,0.000016037076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038928122,0.00046769748,0.00051031314,0.00050521886,0.0002264102,0.00053428044,0.0004916874,0.00088327355,0.0009978632],"category_scores_gemma":[0.00017410453,0.00032577763,0.0002358496,0.00030752955,0.00028462673,0.00043861847,0.00036513826,0.00062452146,0.00060545624],"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":[0.0020461762,0.00025905625,0.00049999496,0.0004539088,0.000054445034,0.0008225037,0.00008187648,0.0012510719,0.9430903,0.0013011565,0.0011545894,0.048985027],"study_design_scores_gemma":[0.00057142385,0.003600605,0.0035229006,0.000040144405,0.00032805806,0.0049652588,0.000051346404,0.0051523703,0.9454694,0.0001864576,0.036061533,0.000050384642],"about_ca_topic_score_codex":0.00088476355,"about_ca_topic_score_gemma":0.0009876922,"teacher_disagreement_score":0.0009978632,"about_ca_system_score_codex":0.0004019833,"about_ca_system_score_gemma":0.00021304614,"threshold_uncertainty_score":0.0033382177},"labels":[],"label_agreement":null},{"id":"W2044759862","doi":"10.1007/s00259-009-1203-0","title":"FDG PET/CT imaging in primary osseous and soft tissue sarcomas: a retrospective review of 212 cases","year":2009,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":190,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Lakeshore General Hospital","funders":"","keywords":"Medicine; Soft tissue; Sarcoma; Leiomyosarcoma; Radiology; Synovial sarcoma; Nuclear medicine; Soft tissue sarcoma; Pathology","score_opus":0.02120947750784439,"score_gpt":0.3136922065565767,"score_spread":0.2924827290487323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044759862","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13716148,0.85778445,0.00056273723,0.00014116007,0.00006828399,0.000044751763,0.00051028415,0.000024397008,0.0037023837],"genre_scores_gemma":[0.3834939,0.61256194,0.0012561082,0.00040510285,0.00012679424,0.00003581724,0.0011689704,0.000026560847,0.00092489447],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99949396,0.00005465264,0.00016920356,0.00011333257,0.00011888903,0.000049937833],"domain_scores_gemma":[0.9990545,0.00045270854,0.0002586022,0.000067095214,0.00011635789,0.00005079307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005121107,0.0005448,0.0009778612,0.003114311,0.0003257745,0.0008989572,0.0007234973,0.0006936491,0.0012726197],"category_scores_gemma":[0.001787599,0.00047365692,0.0006237678,0.0039387993,0.00057142763,0.0010267758,0.00047981992,0.00034611567,0.0006246081],"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":[0.000706904,0.00017126961,0.26105618,0.016346654,0.0008745147,0.14454456,0.001208539,0.00035142625,0.013426975,0.00041004395,0.00613872,0.55476415],"study_design_scores_gemma":[0.000072488176,0.00020567395,0.21884574,0.0055050654,0.0025566153,0.69904816,0.0015493514,0.00017938738,0.003644622,0.0002907624,0.06804126,0.000060938335],"about_ca_topic_score_codex":0.0010234329,"about_ca_topic_score_gemma":0.0015959509,"teacher_disagreement_score":0.003114311,"about_ca_system_score_codex":0.00033880468,"about_ca_system_score_gemma":0.0006612013,"threshold_uncertainty_score":0.0042573214},"labels":[],"label_agreement":null},{"id":"W2045459605","doi":"10.1007/s00259-006-0189-0","title":"123I-labeled HIV-1 tat peptide radioimmunoconjugates are imported into the nucleus of human breast cancer cells and functionally interact in vitro and in vivo with the cyclin-dependent kinase inhibitor, p21WAF-1/Cip-1","year":2006,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Cancer Research UK","keywords":"In vivo; In vitro; Cancer research; Nucleus; Kinase; Breast cancer; Peptide; Human immunodeficiency virus (HIV); Chemistry; Cancer; Medicine; Biology; Internal medicine; Cell biology; Virology; Biochemistry; Genetics","score_opus":0.007339902982126301,"score_gpt":0.251874609113715,"score_spread":0.2445347061315887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045459605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98800266,0.0033699207,0.0050835144,0.00019251651,0.000055202687,0.000027238639,0.00017945915,0.00010250504,0.0029870279],"genre_scores_gemma":[0.9868854,0.0014662895,0.003634773,0.000088581415,0.000019791574,0.00002972762,0.0010255036,0.00011049892,0.006739517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979657,0.000034437722,0.000008850236,0.000044291206,0.000054110136,0.00006184495],"domain_scores_gemma":[0.9998479,0.000053350333,0.000025794454,0.000020851685,0.00002233542,0.000029823006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027727598,0.00044954722,0.0003689248,0.00027828343,0.00042182556,0.0007238028,0.00042803196,0.0003784055,0.0018402009],"category_scores_gemma":[0.00023453508,0.00042206649,0.00033900287,0.00030246226,0.00032158458,0.00036316089,0.00026097998,0.0008186595,0.0008059634],"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":[0.0001759485,0.000017275766,0.00013540991,0.000036367004,0.000010332796,0.00006941284,0.000055725814,0.00008595137,0.99789065,0.00033392312,0.00008102524,0.0011080224],"study_design_scores_gemma":[0.000024601846,0.000080652884,0.0015038277,0.0000067516958,0.00002265162,0.0003093428,0.000034913162,0.00076060346,0.99401087,0.00005482411,0.0031846662,0.000006138045],"about_ca_topic_score_codex":0.0017746236,"about_ca_topic_score_gemma":0.0017980661,"teacher_disagreement_score":0.0018402009,"about_ca_system_score_codex":0.0011842799,"about_ca_system_score_gemma":0.00038574592,"threshold_uncertainty_score":0.008592606},"labels":[],"label_agreement":null},{"id":"W2047260901","doi":"10.1007/s00259-013-2537-1","title":"Absolute myocardial flow quantification with 82Rb PET/CT: comparison of different software packages and methods","year":2013,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Cardiac PET; Coronary artery disease; Medicine; Nuclear medicine; Coronary flow reserve; Blood flow; Positron emission tomography; Cardiology; Internal medicine","score_opus":0.017135424867778044,"score_gpt":0.3048189194371817,"score_spread":0.2876834945694037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047260901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24444905,0.004464278,0.706271,0.0005375737,0.00035011108,0.000573933,0.0034090567,0.036945783,0.002999302],"genre_scores_gemma":[0.38923165,0.0020474014,0.58367336,0.00029987856,0.00010331603,0.0010813697,0.0032575272,0.018080622,0.0022249292],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99734265,0.0009887778,0.00036721316,0.00051767705,0.0006302791,0.0001534574],"domain_scores_gemma":[0.99054354,0.0067248894,0.00051953155,0.0007641077,0.0012686768,0.00017926708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008098571,0.0017865883,0.0017074024,0.0037799878,0.00045194608,0.0024947016,0.0014964703,0.0018357744,0.0040822015],"category_scores_gemma":[0.01771322,0.0012382629,0.0018048416,0.0020818035,0.000534003,0.0016994211,0.0013297385,0.0011573872,0.0015536952],"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":[0.01229793,0.00058019644,0.022134876,0.0018945892,0.0023036662,0.00023113175,0.00071391073,0.03672791,0.050417833,0.0033189738,0.0072816075,0.8620973],"study_design_scores_gemma":[0.0019507476,0.0019664085,0.06515006,0.00066536857,0.0027317116,0.002510469,0.00060872297,0.7360308,0.16225147,0.008920346,0.016334072,0.00087983994],"about_ca_topic_score_codex":0.002377003,"about_ca_topic_score_gemma":0.0023422185,"teacher_disagreement_score":0.008098571,"about_ca_system_score_codex":0.0005394799,"about_ca_system_score_gemma":0.001038971,"threshold_uncertainty_score":0.04282987},"labels":[],"label_agreement":null},{"id":"W2047596481","doi":"10.1007/s00259-002-0902-6","title":"Brown adipose tissue: a factor to consider in symmetrical tracer uptake in the neck and upper chest region","year":2002,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":503,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nuclear medicine; Medicine; Positron emission tomography; Correction for attenuation; Thorax (insect anatomy); Tomography; Cervical spine; Fluorodeoxyglucose; Soft tissue; Radiology; Anatomy","score_opus":0.03787717005904345,"score_gpt":0.28169804441291696,"score_spread":0.2438208743538735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047596481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91972595,0.017477663,0.037323363,0.0065346393,0.0009355615,0.00015097497,0.00030373468,0.00041884952,0.017129289],"genre_scores_gemma":[0.98762786,0.0012893149,0.008775255,0.00045446405,0.00046174036,0.00001690257,0.0000448784,0.00012831877,0.0012012341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845755,0.00040286616,0.00029118476,0.0002051239,0.00048762406,0.00015568957],"domain_scores_gemma":[0.9921056,0.005206705,0.0010946823,0.0005163507,0.0006899981,0.00038671124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004899588,0.0006296218,0.0010901438,0.0009934566,0.0006104088,0.0016932783,0.0010380518,0.001885001,0.0033064645],"category_scores_gemma":[0.01783039,0.00041375723,0.00044878508,0.0006846974,0.001598391,0.0022161882,0.00042329583,0.0011867185,0.0009378551],"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":[0.005251685,0.00012586878,0.6060599,0.0015508849,0.00040726337,0.13171732,0.0007688509,0.0026351747,0.09290718,0.0046126414,0.003627407,0.15033583],"study_design_scores_gemma":[0.00013143754,0.0012006473,0.54387033,0.0004306487,0.00082468806,0.36726284,0.0023158635,0.011460522,0.056716364,0.0039568744,0.011685884,0.0001439597],"about_ca_topic_score_codex":0.0029580013,"about_ca_topic_score_gemma":0.005047784,"teacher_disagreement_score":0.004899588,"about_ca_system_score_codex":0.0007497822,"about_ca_system_score_gemma":0.0008312731,"threshold_uncertainty_score":0.025911808},"labels":[],"label_agreement":null},{"id":"W2047707263","doi":"10.1007/s00259-011-1887-9","title":"Validation of Tikhonov adaptively regularized gamma variate fitting with 24-h plasma clearance in cirrhotic patients with ascites","year":2011,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Liver Disease and Transplantation","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 Saskatchewan; Memorial University of Newfoundland","funders":"","keywords":"Tikhonov regularization; Mathematics; Nuclear medicine; Chemistry; Medicine; Mathematical analysis","score_opus":0.013367381244984336,"score_gpt":0.19651325243596596,"score_spread":0.18314587119098164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047707263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92803574,0.00042928013,0.070156924,0.00009875581,0.000013903438,0.00005132465,0.00019157956,0.00053909764,0.00048332373],"genre_scores_gemma":[0.9907863,0.00006886183,0.008621334,0.00002736821,0.0000037171333,0.000025100258,0.0002656771,0.00007251878,0.00012916472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99715257,0.0021636663,0.00012574055,0.00028045633,0.0001967563,0.00008083353],"domain_scores_gemma":[0.9919653,0.005761795,0.00064275693,0.0007979467,0.0006430144,0.00018904822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005983673,0.00065883115,0.000603682,0.0004931004,0.00022651989,0.00071924296,0.00065421575,0.00074861344,0.0006089322],"category_scores_gemma":[0.021449704,0.00028366988,0.00076618657,0.00044705498,0.00035638543,0.00048920757,0.00061375403,0.0007568907,0.00044185144],"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":[0.011438014,0.00040652085,0.3224989,0.00042462797,0.00081492617,0.00047642688,0.0013010653,0.5092347,0.024538334,0.0010624424,0.0007800501,0.127024],"study_design_scores_gemma":[0.00010926793,0.0015116128,0.0634566,0.000032879438,0.00008524691,0.0004028967,0.00016105398,0.92526644,0.0075555425,0.00062517123,0.000737169,0.000056081604],"about_ca_topic_score_codex":0.0050317426,"about_ca_topic_score_gemma":0.001876591,"teacher_disagreement_score":0.005983673,"about_ca_system_score_codex":0.0006113589,"about_ca_system_score_gemma":0.0008817515,"threshold_uncertainty_score":0.031645},"labels":[],"label_agreement":null},{"id":"W2053247401","doi":"10.1007/s00259-008-0745-x","title":"[18F]Fluorinated estradiol derivatives for oestrogen receptor imaging: impact of substituents, formulation and specific activity on the biodistribution in breast tumour-bearing mice","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Biodistribution; Chemistry; In vivo; Ethanol; Estrogen receptor; Receptor; In vitro; Pharmacology; Internal medicine; Endocrinology; Nuclear medicine; Radiochemistry; Biochemistry; Medicine; Breast cancer; Cancer; Biology","score_opus":0.014183893461097363,"score_gpt":0.2454198069968528,"score_spread":0.23123591353575546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053247401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98722947,0.0051082247,0.0061548473,0.00011313049,0.000035284163,0.00004256334,0.00019518063,0.000045063072,0.0010761899],"genre_scores_gemma":[0.9809607,0.00417195,0.00982788,0.000072049086,0.000023886223,0.000044101987,0.00036617,0.0000937565,0.0044394806],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998716,0.00004699694,0.0000073402853,0.000024952365,0.000018258605,0.000030850282],"domain_scores_gemma":[0.9997938,0.0000728558,0.000060295813,0.000019170297,0.000021852864,0.00003205507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045045794,0.00041301854,0.00032764365,0.00017774767,0.00014288197,0.0003307185,0.0003021706,0.00047787986,0.00077768945],"category_scores_gemma":[0.00047900583,0.0003485732,0.00021158536,0.00020518134,0.00018671596,0.00040223784,0.00014484485,0.00042190938,0.00021194073],"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":[0.0016327688,0.0000419209,0.00010590244,0.000053956654,0.000014222647,0.00007774428,0.000033284297,0.00037320988,0.99421763,0.00016796959,0.000055743214,0.003225676],"study_design_scores_gemma":[0.00007305608,0.00069109065,0.00036790318,0.0000057948605,0.000042752978,0.00017582765,0.00000753222,0.00041270253,0.99607605,0.000021678741,0.0021157318,0.000009926236],"about_ca_topic_score_codex":0.000617466,"about_ca_topic_score_gemma":0.00074968324,"teacher_disagreement_score":0.00077768945,"about_ca_system_score_codex":0.00026634603,"about_ca_system_score_gemma":0.00018430085,"threshold_uncertainty_score":0.0026016235},"labels":[],"label_agreement":null},{"id":"W2054826454","doi":"10.1007/s00259-007-0697-6","title":"Basic pathologies of neurodegenerative dementias and their relevance for state-of-the-art molecular imaging studies","year":2008,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Prion Research Institute; Leibniz-Gemeinschaft","keywords":"Medicine; Neuroscience; Relevance (law); Molecular imaging; Neuroimaging; Psychology; Biology","score_opus":0.04714816412642407,"score_gpt":0.3472648291060757,"score_spread":0.3001166649796516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054826454","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005947326,0.9993389,0.00012310376,0.000104342085,0.000071028946,0.0000031655682,0.000010810288,0.000004102461,0.00028497766],"genre_scores_gemma":[0.0003488016,0.9989496,0.00031266286,0.00008698918,0.00012600343,0.0000048002,0.000020996586,7.9415116e-7,0.00014941033],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996855,0.000060254682,0.00005908801,0.0000618786,0.00010599965,0.000027249767],"domain_scores_gemma":[0.99884546,0.00072541554,0.0001274081,0.000031274936,0.0002217665,0.00004865467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014262709,0.0014215107,0.0033166334,0.0034140784,0.00034965103,0.0016556185,0.0017585099,0.001782277,0.0027202778],"category_scores_gemma":[0.0012142129,0.00040034234,0.0006480724,0.0034912142,0.001062015,0.0026205,0.0008537581,0.0019837467,0.001961542],"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":[0.00014568544,0.00009781241,0.00029176698,0.022583602,0.00010798633,0.00037652958,0.00008007814,0.00034231038,0.0015532462,0.0042042625,0.013403035,0.95681375],"study_design_scores_gemma":[0.000053749907,0.00016049024,0.002526929,0.008162864,0.0004251564,0.0049412157,0.00021608971,0.0002682377,0.0012711312,0.007984531,0.9739213,0.00006845376],"about_ca_topic_score_codex":0.0014308942,"about_ca_topic_score_gemma":0.0018755927,"teacher_disagreement_score":0.0034140784,"about_ca_system_score_codex":0.000824655,"about_ca_system_score_gemma":0.0016369091,"threshold_uncertainty_score":0.009100199},"labels":[],"label_agreement":null},{"id":"W2054874505","doi":"10.1007/s00259-014-2881-9","title":"Quantitation of myocardial blood flow and myocardial flow reserve with 99mTc-sestamibi dynamic SPECT/CT to enhance detection of coronary artery disease","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ottawa; Siemens USA","keywords":"Medicine; Coronary artery disease; Nuclear medicine; Perfusion; Dipyridamole; Stenosis; Myocardial perfusion imaging; Receiver operating characteristic; Blood flow; Fractional flow reserve; Radiology; Single-photon emission computed tomography; Cardiology; Internal medicine; Coronary angiography; Myocardial infarction","score_opus":0.0053662973741578105,"score_gpt":0.23989606608625327,"score_spread":0.23452976871209547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054874505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93388075,0.0075514596,0.05103923,0.00034200415,0.000040823285,0.00032048754,0.00028161108,0.00033247433,0.00621116],"genre_scores_gemma":[0.96302086,0.001869149,0.032814186,0.00013342626,0.000031240023,0.00017971016,0.00016682406,0.000102367834,0.0016823417],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997392,0.00011579416,0.00002185659,0.000039057708,0.00005034992,0.000033787703],"domain_scores_gemma":[0.9996661,0.00016890684,0.000038399012,0.000033707092,0.000058455258,0.000034429253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022943562,0.00080681907,0.00048010793,0.0016476789,0.00025505506,0.0006571872,0.00055719586,0.0009138049,0.0017514103],"category_scores_gemma":[0.0016681523,0.0005506166,0.00030585882,0.00057561154,0.0005202581,0.000644832,0.00027523452,0.00067273324,0.00031469166],"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":[0.007406427,0.00040830777,0.04096321,0.00032899185,0.0001419752,0.0021732214,0.00023574878,0.0014560822,0.87170446,0.00091046974,0.00035289448,0.07391825],"study_design_scores_gemma":[0.0006713428,0.0044013425,0.3434985,0.00015584743,0.0009316629,0.018892713,0.00024383671,0.061541937,0.5643807,0.0015460689,0.0036240881,0.00011194416],"about_ca_topic_score_codex":0.0009549819,"about_ca_topic_score_gemma":0.0014856707,"teacher_disagreement_score":0.0022943562,"about_ca_system_score_codex":0.0002043995,"about_ca_system_score_gemma":0.00033796253,"threshold_uncertainty_score":0.012133896},"labels":[],"label_agreement":null},{"id":"W2059875221","doi":"10.1007/s00259-005-1829-5","title":"Stability of α-[11C]methyl-l-tryptophan brain trapping in healthy male volunteers","year":2005,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Positron emission tomography; Statistical parametric mapping; Nuclear medicine; Voxel; Reproducibility; Intraclass correlation; Alpha (finance); Brain mapping; Medicine; Psychology; Magnetic resonance imaging; Neuroscience; Mathematics; Cronbach's alpha; Radiology; Statistics; Clinical psychology","score_opus":0.030521459175679222,"score_gpt":0.2907403036365082,"score_spread":0.260218844460829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059875221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849224,0.0004314039,0.00024492037,0.000030217323,0.0000084398425,0.000007978712,0.00013483493,0.000014625778,0.00063543505],"genre_scores_gemma":[0.99928504,0.00009234623,0.00006701975,0.000021405136,0.0000069161724,0.0000065792797,0.000103540995,0.0000058673454,0.00041138876],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999057,0.000017822344,0.0000057003194,0.0000407407,0.000011979605,0.000017927558],"domain_scores_gemma":[0.9996636,0.00010426526,0.00006635985,0.00003489832,0.00006234424,0.00006858468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020841697,0.00021098884,0.00026445536,0.00033809672,0.00037633625,0.00029618462,0.00018050688,0.00049191527,0.0021435155],"category_scores_gemma":[0.000833946,0.00016182562,0.00012535222,0.00013630811,0.0002210483,0.00013714132,0.0001669588,0.00030047598,0.00042066904],"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":[0.03584727,0.0008431979,0.3001477,0.00021180461,0.0004683915,0.0035938893,0.002816931,0.00032273072,0.612309,0.00035159042,0.00092381355,0.042163722],"study_design_scores_gemma":[0.000094692405,0.0035386398,0.9478829,0.000009245031,0.0002311044,0.0031859775,0.00042326213,0.0007973916,0.042973325,0.00012048028,0.0007201586,0.000022886428],"about_ca_topic_score_codex":0.0032638467,"about_ca_topic_score_gemma":0.0021772317,"teacher_disagreement_score":0.0032638467,"about_ca_system_score_codex":0.00017373438,"about_ca_system_score_gemma":0.00013817924,"threshold_uncertainty_score":0.007170737},"labels":[],"label_agreement":null},{"id":"W2060380360","doi":"10.1007/s00259-006-0346-5","title":"Immuno-PET of undifferentiated thyroid carcinoma with radioiodine-labelled antibody cMAb U36: application to antibody tumour uptake studies","year":2007,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Thyroid carcinoma; Biodistribution; Antibody; Cancer research; Thyroid; Monoclonal antibody; Radioimmunotherapy; Medicine; Carcinoma; Pathology; Chemistry; In vitro; Internal medicine; Immunology","score_opus":0.013092072941350131,"score_gpt":0.30127357529317816,"score_spread":0.28818150235182804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060380360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495329,0.0171923,0.027077792,0.000329392,0.000050576007,0.00016677903,0.0001809156,0.00021515896,0.005254112],"genre_scores_gemma":[0.9804134,0.003568998,0.014216078,0.000063860985,0.000016728705,0.000066749424,0.00013551538,0.000043418193,0.0014752961],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999858,0.00006092106,0.0000058939286,0.000024146675,0.000012250589,0.00003875108],"domain_scores_gemma":[0.99986005,0.000073343894,0.000011128735,0.000019904119,0.000016565173,0.000018991628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078157237,0.0004586763,0.000522821,0.00062022865,0.00029850836,0.0005399416,0.0008004317,0.00092585897,0.0011491248],"category_scores_gemma":[0.0006260468,0.00048932835,0.00031215895,0.00049096806,0.00035389327,0.000566259,0.0003200733,0.0006009999,0.0004754859],"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":[0.0018086215,0.00012360862,0.002063767,0.00032030436,0.000036436337,0.0015690404,0.00014113224,0.0009358371,0.9769404,0.00061879214,0.00019838841,0.015243685],"study_design_scores_gemma":[0.00037329108,0.0029146268,0.015439616,0.000060366496,0.00035748558,0.01299911,0.00021530896,0.021021442,0.93534845,0.0006719265,0.010554377,0.0000439764],"about_ca_topic_score_codex":0.0025510797,"about_ca_topic_score_gemma":0.0016001955,"teacher_disagreement_score":0.0025510797,"about_ca_system_score_codex":0.000448509,"about_ca_system_score_gemma":0.0004168162,"threshold_uncertainty_score":0.0050724745},"labels":[],"label_agreement":null},{"id":"W2062075728","doi":"10.1007/s00259-005-1908-7","title":"Site-specific conjugation of HIV-1 tat peptides to IgG: a potential route to construct radioimmunoconjugates for targeting intracellular and nuclear epitopes in cancer","year":2005,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Chemistry; Intracellular; Nuclear transport; Cancer research; Biochemistry; Cell nucleus; Cytoplasm; Biology","score_opus":0.014290936373735793,"score_gpt":0.2832391852438033,"score_spread":0.2689482488700675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062075728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89501905,0.002507501,0.09784755,0.00037868382,0.00009756526,0.00015211229,0.00016633137,0.00030981348,0.003521489],"genre_scores_gemma":[0.96527183,0.0010203593,0.029716857,0.00013114615,0.0000131133975,0.00004144382,0.00016053676,0.000042244905,0.0036024414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985313,0.000047366564,0.000008157515,0.00002358365,0.00003270567,0.00003516746],"domain_scores_gemma":[0.9999267,0.000019086898,0.00001740381,0.000016363172,0.000009296314,0.000011123917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039116506,0.00034727578,0.0001922988,0.00018160172,0.00016930385,0.00029753832,0.00041758895,0.00056628574,0.0006558476],"category_scores_gemma":[0.00018964469,0.00025523335,0.00036479675,0.00013373067,0.0002492463,0.00022448035,0.00022284874,0.0006422765,0.0003145291],"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":[0.000041469793,0.000016991387,0.000064403685,0.000033726763,0.000006392806,0.00009612187,0.000021724298,0.00026203092,0.9957229,0.0006158406,0.00004821511,0.0030702245],"study_design_scores_gemma":[0.0000093388635,0.000060158127,0.00013138365,0.0000019415204,0.000010604089,0.00021040508,0.0000034867805,0.00071250054,0.9974413,0.00005947116,0.001356461,0.0000029334797],"about_ca_topic_score_codex":0.00053367653,"about_ca_topic_score_gemma":0.00059239764,"teacher_disagreement_score":0.0006558476,"about_ca_system_score_codex":0.00033172645,"about_ca_system_score_gemma":0.00019819687,"threshold_uncertainty_score":0.0024068952},"labels":[],"label_agreement":null},{"id":"W2062822600","doi":"10.1007/s00259-003-1170-9","title":"Positron emission tomography in the management of lymphomas: a summary","year":2003,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Positron emission tomography; Positron Emission Tomography-Computed Tomography; Nuclear medicine; Medicine; Medical physics; Tomography; Radiology","score_opus":0.02568384877684259,"score_gpt":0.3225093524451859,"score_spread":0.2968255036683433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062822600","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014755555,0.9985862,0.00033356808,0.0002731447,0.00014920878,0.0000067135265,0.000016219405,0.000008257479,0.00047924012],"genre_scores_gemma":[0.00063743757,0.99771667,0.00053487375,0.0003421717,0.0004198731,0.000009202582,0.00003862729,0.0000025471436,0.0002986889],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996669,0.00006800506,0.00006572714,0.000082725484,0.000086860906,0.00002970402],"domain_scores_gemma":[0.9987128,0.00071217836,0.00015375266,0.00003180924,0.00028164516,0.000107867185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017903663,0.001401138,0.002613919,0.0027142717,0.0002497468,0.0012533003,0.0019980131,0.0017677238,0.0025693916],"category_scores_gemma":[0.0015440483,0.00050323387,0.00087870116,0.0027465913,0.0005224195,0.0018058332,0.0005469087,0.0024921123,0.0021987506],"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":[0.00017977403,0.00010952297,0.0004577929,0.012259862,0.00017619703,0.0007732795,0.000045870558,0.0007734075,0.001031367,0.00092235283,0.020772494,0.962498],"study_design_scores_gemma":[0.00020328915,0.00076437375,0.0034789457,0.01146699,0.0009849926,0.009987871,0.00015373486,0.00076657074,0.0013235067,0.0018363639,0.96894306,0.00009024092],"about_ca_topic_score_codex":0.0017575567,"about_ca_topic_score_gemma":0.004532066,"teacher_disagreement_score":0.0027142717,"about_ca_system_score_codex":0.00076563074,"about_ca_system_score_gemma":0.0010209724,"threshold_uncertainty_score":0.009468436},"labels":[],"label_agreement":null},{"id":"W2064439513","doi":"10.1007/s00259-014-2697-7","title":"SPECT/CT in pediatric patient management","year":2014,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Children's Hospital","funders":"","keywords":"Medicine; Scintigraphy; Sedation; Radiology; Bone scintigraphy; Thyroid carcinoma; Nuclear medicine; Medical physics; Thyroid; Surgery; Internal medicine","score_opus":0.02084910543778678,"score_gpt":0.30872518220194134,"score_spread":0.28787607676415455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064439513","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022729122,0.99798894,0.0001896966,0.00035453853,0.00011308909,0.000002628703,0.000019637757,0.000008129736,0.0010960683],"genre_scores_gemma":[0.0026069947,0.99576914,0.00049552735,0.00038925227,0.00028784527,0.0000048854,0.000045118602,0.0000032854498,0.00039793455],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998129,0.000041797888,0.00003581278,0.00003785662,0.00005274736,0.00001890591],"domain_scores_gemma":[0.9994911,0.00027984937,0.00008299008,0.00001103332,0.00009432572,0.000040565887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004665382,0.00083979877,0.0012466024,0.0023159424,0.00022706004,0.0008663718,0.000712186,0.0012093841,0.0027949256],"category_scores_gemma":[0.0013699973,0.0002930533,0.00045243485,0.0019337262,0.00063631765,0.0012474427,0.0006452989,0.0015856555,0.0009729582],"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":[0.00007673644,0.000026571352,0.0012523733,0.0084362365,0.00010281298,0.001897102,0.000048836228,0.0004674946,0.00073729287,0.0013963354,0.022510977,0.9630472],"study_design_scores_gemma":[0.00007105645,0.00012519593,0.0047913734,0.015857106,0.0007467828,0.03627938,0.00027534188,0.0004331319,0.0014237025,0.0035212133,0.93640727,0.00006834821],"about_ca_topic_score_codex":0.0021658754,"about_ca_topic_score_gemma":0.00523514,"teacher_disagreement_score":0.0027949256,"about_ca_system_score_codex":0.00066876994,"about_ca_system_score_gemma":0.0017175889,"threshold_uncertainty_score":0.009349942},"labels":[],"label_agreement":null},{"id":"W2067347526","doi":"10.1007/s00259-010-1443-z","title":"Image-derived input function in dynamic human PET/CT: methodology and validation with 11C-acetate and 18F-fluorothioheptadecanoic acid in muscle and 18F-fluorodeoxyglucose in brain","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Cancer Agency; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Diabetes Association","keywords":"Imaging phantom; Medicine; Nuclear medicine; Positron emission tomography; Perfusion; Femoral artery; Perfusion scanning; Blood sampling; Bolus (digestion); Fluorodeoxyglucose; Radiology; Internal medicine","score_opus":0.019536034675186987,"score_gpt":0.3020595447308136,"score_spread":0.2825235100556266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067347526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4451368,0.0023545169,0.54958636,0.000105726904,0.000045568642,0.00029599012,0.0003666818,0.0007750767,0.0013333109],"genre_scores_gemma":[0.7863874,0.002068005,0.20921865,0.00012782401,0.000027559912,0.00038254447,0.0005603134,0.0002658584,0.000961941],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901795,0.00037818743,0.000052376367,0.00022407269,0.0002686755,0.00005865478],"domain_scores_gemma":[0.9984359,0.00068274955,0.00014845979,0.0002467495,0.00044526492,0.00004084245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003723923,0.0006286549,0.0004783702,0.0007191988,0.00024867686,0.0010099433,0.0007982867,0.0009942089,0.0007803091],"category_scores_gemma":[0.0057983804,0.00047222446,0.0003603335,0.00088495156,0.0007757047,0.00047163403,0.00034700258,0.0005564285,0.00045883152],"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":[0.0012900607,0.00022170773,0.012308772,0.00044104844,0.0000821775,0.00032857934,0.0002730604,0.016079191,0.89076364,0.0005510257,0.00022070653,0.07743999],"study_design_scores_gemma":[0.000086659056,0.0013279577,0.04119229,0.00008176571,0.00021669075,0.0021593643,0.00014487121,0.09557231,0.85467434,0.00042288244,0.0040243887,0.00009642923],"about_ca_topic_score_codex":0.0025491416,"about_ca_topic_score_gemma":0.0014896558,"teacher_disagreement_score":0.003723923,"about_ca_system_score_codex":0.0005720821,"about_ca_system_score_gemma":0.0007697491,"threshold_uncertainty_score":0.01969421},"labels":[],"label_agreement":null},{"id":"W2067682130","doi":"10.1007/s00259-003-1169-2","title":"Limitations of PET for imaging lymphoma","year":2003,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Lymphoma; Malignancy; Positron emission tomography; Fluorodeoxyglucose; Biopsy; Radiology; Pathology","score_opus":0.0829613649777335,"score_gpt":0.3203069748519841,"score_spread":0.23734560987425063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067682130","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009147398,0.9985398,0.00018211354,0.0004020622,0.00011431729,0.0000018907973,0.000008290039,0.000006600482,0.00065344217],"genre_scores_gemma":[0.0012938669,0.9964719,0.0005527929,0.00076365244,0.00041440182,0.000006645238,0.000025760834,0.000006166783,0.00046482074],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991379,0.0002724683,0.00012321123,0.00017162906,0.00024476435,0.000050057533],"domain_scores_gemma":[0.9953843,0.0033740706,0.00030389204,0.00013051077,0.0007053835,0.000101829726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036632093,0.0012904198,0.0032096028,0.0029770473,0.00033145616,0.0017997272,0.0017372459,0.0024496184,0.0034760777],"category_scores_gemma":[0.0036636738,0.00060978805,0.0010172713,0.0031865796,0.0013000452,0.0026095505,0.0008000688,0.0026576612,0.0024876145],"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":[0.000152033,0.00004277492,0.0004489208,0.011889428,0.00017900133,0.00061859464,0.00006511514,0.0004335449,0.0011984317,0.0019914196,0.022581208,0.96039957],"study_design_scores_gemma":[0.000072211464,0.00015241458,0.0017062448,0.0057840454,0.0005584709,0.008514561,0.00011240469,0.00026110583,0.0011411543,0.0020552415,0.9795926,0.000049455917],"about_ca_topic_score_codex":0.002274047,"about_ca_topic_score_gemma":0.0039298446,"teacher_disagreement_score":0.0036632093,"about_ca_system_score_codex":0.0011512373,"about_ca_system_score_gemma":0.0017922268,"threshold_uncertainty_score":0.019373119},"labels":[],"label_agreement":null},{"id":"W2068668193","doi":"10.1007/s00259-007-0478-2","title":"Quantification of myocardial blood flow with 82Rb dynamic PET imaging","year":2007,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":447,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Blood flow; Dipyridamole; Coronary artery disease; Nuclear medicine; Medicine; Perfusion; Positron emission tomography; Compartment (ship); Cardiology; Myocardial perfusion imaging; Internal medicine","score_opus":0.0068372584069333435,"score_gpt":0.24706271614926842,"score_spread":0.24022545774233509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068668193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55994654,0.021170206,0.40693158,0.00048467715,0.00009375173,0.00024961977,0.0005861686,0.000863836,0.009673702],"genre_scores_gemma":[0.7863235,0.008691439,0.19518945,0.00023488536,0.000081376274,0.00045103987,0.00069789035,0.00036203623,0.00796847],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971515,0.00009173699,0.000013129699,0.00007526365,0.00006130883,0.00004347053],"domain_scores_gemma":[0.9997801,0.000100270365,0.000036874604,0.00003213562,0.000034306853,0.000016373466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014460076,0.00072720274,0.00079275476,0.000874661,0.00029913397,0.0011756053,0.0006766188,0.0010386865,0.0015504712],"category_scores_gemma":[0.0011054149,0.0006048558,0.0002906778,0.0005049346,0.0005308596,0.0014036942,0.0003811242,0.0007624555,0.00063230825],"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":[0.0006290916,0.00007789115,0.0027875188,0.00023572963,0.000061813196,0.00014625066,0.0000923083,0.001289637,0.94902945,0.0012448437,0.00032107785,0.04408444],"study_design_scores_gemma":[0.0001030421,0.0008403826,0.030245395,0.00007352606,0.00029803882,0.001892638,0.00009979072,0.044059135,0.9156544,0.0010121,0.005657048,0.00006452695],"about_ca_topic_score_codex":0.001055191,"about_ca_topic_score_gemma":0.0011249455,"teacher_disagreement_score":0.0015504712,"about_ca_system_score_codex":0.00038086413,"about_ca_system_score_gemma":0.00042371443,"threshold_uncertainty_score":0.0076473355},"labels":[],"label_agreement":null},{"id":"W2068836652","doi":"10.1007/s00259-006-0244-x","title":"Detection of 99mTc-sestamibi uptake in brown adipose tissue with SPECT-CT","year":2006,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Adipose tissue; Nuclear medicine; Technetium Tc 99m Sestamibi; Radiology; Scintigraphy; Internal medicine","score_opus":0.008195439990239422,"score_gpt":0.233127711197186,"score_spread":0.2249322712069466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068836652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708872,0.0060916194,0.013635599,0.00050080224,0.000038020116,0.00010589979,0.00028741642,0.00021261607,0.008240852],"genre_scores_gemma":[0.9867532,0.0020335033,0.008500618,0.00017287792,0.000042361517,0.00008486232,0.00027333116,0.00007508998,0.0020642127],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998385,0.0000538535,0.000014825794,0.000023982482,0.000028007069,0.000040901614],"domain_scores_gemma":[0.99963295,0.00019613413,0.000028011862,0.00003685139,0.000057213445,0.000048829843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010337826,0.00066686654,0.00048987113,0.0015555759,0.00024207537,0.000671713,0.000650805,0.0012168938,0.0032731178],"category_scores_gemma":[0.0012449654,0.00053888705,0.00037075454,0.00090607133,0.0007796405,0.0007314504,0.0004013934,0.00077817123,0.00086938776],"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":[0.007752555,0.00016789173,0.054177534,0.00044463278,0.00016709881,0.020479156,0.0002765829,0.0009259885,0.88399035,0.001143273,0.0007383197,0.029736642],"study_design_scores_gemma":[0.0006397856,0.0025013196,0.13388619,0.00021769323,0.0008521754,0.08897224,0.0005974687,0.028428655,0.73634887,0.0020076972,0.0054567996,0.00009106126],"about_ca_topic_score_codex":0.00153431,"about_ca_topic_score_gemma":0.0008909086,"teacher_disagreement_score":0.0032731178,"about_ca_system_score_codex":0.00031421022,"about_ca_system_score_gemma":0.00037213642,"threshold_uncertainty_score":0.010949731},"labels":[],"label_agreement":null},{"id":"W2071946227","doi":"10.1007/s00259-008-0751-z","title":"Real-time in vivo monitoring of viable stem cells implanted on biocompatible scaffolds","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital","funders":"Korea Science and Engineering Foundation","keywords":"Luciferase; Bioluminescence imaging; In vivo; Viability assay; Stem cell; Mesenchymal stem cell; Neural stem cell; Sodium-iodide symporter; Chemistry; Cell biology; Cell; Biomedical engineering; Medicine; Transfection; Biology; Biochemistry; Symporter; Biotechnology","score_opus":0.027951002809444375,"score_gpt":0.24172392041254434,"score_spread":0.21377291760309997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071946227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808055,0.0010960938,0.01601824,0.00008325217,0.000062770574,0.000029335535,0.00023668977,0.00015105399,0.001516915],"genre_scores_gemma":[0.98223567,0.0006436147,0.013407482,0.00004898391,0.00002624259,0.000073289855,0.00020140021,0.00004624419,0.0033170832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998393,0.000018783106,0.000009531105,0.00004242121,0.000055929177,0.000034058616],"domain_scores_gemma":[0.9997336,0.000118381424,0.000053365813,0.00002007304,0.000045407833,0.000029117662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720778,0.0004105481,0.00034852335,0.00030642122,0.0002069534,0.0004989592,0.00029683227,0.00063096976,0.0011080581],"category_scores_gemma":[0.00020493752,0.000184997,0.00018030251,0.00035475852,0.00038699585,0.0005292141,0.00017376387,0.00045836644,0.00022845679],"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":[0.00016823066,0.0000276608,0.0001665454,0.000024297784,0.000003870606,0.000040824376,0.000052897416,0.00012014077,0.99794465,0.0000658981,0.000023799843,0.0013610728],"study_design_scores_gemma":[0.000012867313,0.0001574136,0.0013850939,0.0000021092349,0.000014105345,0.000038710157,0.00004431273,0.0024989354,0.9954405,0.000044602348,0.000356118,0.0000052592136],"about_ca_topic_score_codex":0.00068412995,"about_ca_topic_score_gemma":0.00097002776,"teacher_disagreement_score":0.0011080581,"about_ca_system_score_codex":0.00029258625,"about_ca_system_score_gemma":0.00018968576,"threshold_uncertainty_score":0.0037068129},"labels":[],"label_agreement":null},{"id":"W2073058318","doi":"10.1007/s00259-005-1933-6","title":"The situation of nuclear medicine in Central and Eastern Europe","year":2005,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Czech; Nuclear medicine; Quarter (Canadian coin); Population; Political science; Medicine; Geography; Environmental health; Archaeology","score_opus":0.010423296970980935,"score_gpt":0.24625748535138367,"score_spread":0.23583418838040274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073058318","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87054074,0.04580842,0.0006546137,0.039441854,0.0004305697,0.000020751942,0.00040102514,0.000030047973,0.042672016],"genre_scores_gemma":[0.9818547,0.008971107,0.00042427218,0.0053076223,0.00021350577,0.000008783489,0.00011446072,0.000006109012,0.0030995556],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900573,0.0002929863,0.00010769548,0.00009546132,0.00016927098,0.00032898103],"domain_scores_gemma":[0.9986706,0.00024343267,0.0003702476,0.000041880412,0.00027866103,0.00039523648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023557195,0.00020308337,0.0003220958,0.0014997721,0.0021891065,0.005138541,0.00065727613,0.0024916206,0.0040102056],"category_scores_gemma":[0.0018924186,0.00022819315,0.0003106265,0.002490824,0.0026131074,0.0021074885,0.0026987623,0.0012902202,0.00026177094],"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":[0.0019676725,0.00048871717,0.44738778,0.0016324539,0.0005500284,0.020077879,0.028744223,0.004442551,0.0079810945,0.26150265,0.022899413,0.20232558],"study_design_scores_gemma":[0.00009625746,0.0002588634,0.740791,0.0010683245,0.00017487018,0.0092747705,0.037183806,0.000576414,0.0011698913,0.01629073,0.19298682,0.00012821305],"about_ca_topic_score_codex":0.02618904,"about_ca_topic_score_gemma":0.027749268,"teacher_disagreement_score":0.02618904,"about_ca_system_score_codex":0.0054837666,"about_ca_system_score_gemma":0.0051216707,"threshold_uncertainty_score":0.05207318},"labels":[],"label_agreement":null},{"id":"W2074869766","doi":"10.1007/s00259-002-1096-7","title":"[18F]FMISO and [18F]FDG PET imaging in soft tissue sarcomas: correlation of hypoxia, metabolism and VEGF expression","year":2003,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":248,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute","keywords":"Medicine; Hypoxia (environmental); Fluorodeoxyglucose; Positron emission tomography; Nuclear medicine; Chemotherapy; Standardized uptake value; Radiation therapy; Tumor hypoxia; Vascular endothelial growth factor; Soft tissue; Pathology; Cancer research; Internal medicine; VEGF receptors; Chemistry; Oxygen","score_opus":0.006267188371120922,"score_gpt":0.23327486051961338,"score_spread":0.22700767214849246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074869766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912333,0.004077579,0.002696537,0.00013853848,0.000010262452,0.000016666645,0.00006597597,0.00002876823,0.0017323298],"genre_scores_gemma":[0.9963309,0.0012016455,0.0017092155,0.000031547625,0.000024712097,0.000017075372,0.00008501206,0.000014472014,0.0005855272],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998499,0.000050603758,0.000014819659,0.00001831265,0.000025516149,0.000040888044],"domain_scores_gemma":[0.9994362,0.00027168158,0.000112578884,0.00003274892,0.00007333203,0.00007338619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084311905,0.00039682648,0.00039173898,0.0012921817,0.00023080295,0.00049972674,0.0004095339,0.0009095546,0.0012332997],"category_scores_gemma":[0.0014739619,0.000433953,0.0002297355,0.0005833955,0.00054063887,0.00092878606,0.00019794567,0.0004511216,0.00036495677],"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":[0.010962699,0.00025299352,0.34104997,0.00044767215,0.00019048913,0.02228497,0.00059607474,0.0013704149,0.5678147,0.0007650343,0.00035412988,0.05391091],"study_design_scores_gemma":[0.00032939977,0.003077872,0.5437044,0.00006479947,0.0006839056,0.10790898,0.0010878743,0.013301087,0.32423025,0.0016173979,0.0039290744,0.00006506506],"about_ca_topic_score_codex":0.0013265307,"about_ca_topic_score_gemma":0.0011393608,"teacher_disagreement_score":0.0013265307,"about_ca_system_score_codex":0.0003389148,"about_ca_system_score_gemma":0.00022416381,"threshold_uncertainty_score":0.0044589043},"labels":[],"label_agreement":null},{"id":"W2076343297","doi":"10.1007/s00259-002-0944-9","title":"Parathyroid 99m Tc-sestamibi scintigraphy: dual-tracer subtraction is superior to double-phase washout","year":2002,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"","keywords":"Subtraction; Medicine; Nuclear medicine; Hyperparathyroidism; Technetium Tc 99m Sestamibi; Washout; Parathyroid adenoma; Scintigraphy; Primary hyperparathyroidism; Radiology; Technetium (99mTc) sestamibi; Adenoma; Parathyroid neoplasm; Pathology; Internal medicine; Mathematics","score_opus":0.029617859238387653,"score_gpt":0.3049941204960504,"score_spread":0.27537626125766274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076343297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8806994,0.043228723,0.056411102,0.0026075572,0.0006807022,0.00023995568,0.0005492258,0.0020113422,0.013571953],"genre_scores_gemma":[0.9559758,0.008351753,0.030578647,0.0008855299,0.00034479197,0.000049077335,0.00061822834,0.0008066341,0.0023895674],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990157,0.00037082832,0.00009497627,0.0001879295,0.00022400469,0.00010645911],"domain_scores_gemma":[0.9956116,0.003205136,0.00024153809,0.00033249805,0.00033297561,0.0002762793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039580213,0.0016421488,0.003308538,0.0011499429,0.0003974112,0.0019174872,0.0010962124,0.0036398997,0.0032892271],"category_scores_gemma":[0.0084779365,0.0012764194,0.00071781635,0.0011583683,0.00086297985,0.0020773583,0.0006595461,0.0025910595,0.0015675768],"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":[0.067273945,0.0009037141,0.046425,0.001694734,0.00072532555,0.003297832,0.00031210502,0.0027292918,0.57112634,0.0013343375,0.0021683215,0.30200914],"study_design_scores_gemma":[0.0067434805,0.011055973,0.25244263,0.00043242335,0.0059073963,0.0610949,0.0005740089,0.08283391,0.55062735,0.0049820943,0.022813449,0.00049242814],"about_ca_topic_score_codex":0.001858992,"about_ca_topic_score_gemma":0.0024500345,"teacher_disagreement_score":0.0039580213,"about_ca_system_score_codex":0.00058479985,"about_ca_system_score_gemma":0.0015597318,"threshold_uncertainty_score":0.020932257},"labels":[],"label_agreement":null},{"id":"W2078518558","doi":"10.1007/s00259-010-1454-9","title":"An unusual looking pacemaker infection imaged with 18F-FDG PET/CT","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Infective Endocarditis Diagnosis and Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Nuclear medicine; Positron emission tomography; PET-CT; Positron Emission Tomography-Computed Tomography; Radiology","score_opus":0.006483693617725134,"score_gpt":0.25842183145239295,"score_spread":0.2519381378346678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078518558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88416034,0.012474753,0.011547873,0.019205187,0.002646241,0.0005994789,0.0013167486,0.00085774687,0.06719161],"genre_scores_gemma":[0.98436326,0.0020988581,0.0027527055,0.003415679,0.0040691136,0.000057235662,0.0002832302,0.000111281995,0.0028487064],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.99905115,0.00011268747,0.00014742136,0.00020116933,0.00014853837,0.0003390879],"domain_scores_gemma":[0.9961882,0.0015971754,0.00053104566,0.00039477367,0.00021227884,0.0010764543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064128224,0.004040211,0.0019796472,0.004912051,0.0024892834,0.0023583802,0.0028770799,0.013556174,0.0057293284],"category_scores_gemma":[0.007778449,0.002094554,0.002563597,0.0020730107,0.002141546,0.004110037,0.0015804289,0.0059470483,0.0024574331],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045787096,0.000021675309,0.0011477196,0.0000122655565,0.000004321885,0.9979473,0.000025424883,0.000033293767,0.00035332597,0.000042064075,0.000084446896,0.00028244726],"study_design_scores_gemma":[0.00002836374,0.00009947893,0.0025526164,0.000019367864,0.000024717247,0.995939,0.000050213806,0.00027730953,0.00054145104,0.00012720539,0.00032771289,0.000012599533],"about_ca_topic_score_codex":0.0020389277,"about_ca_topic_score_gemma":0.002090184,"teacher_disagreement_score":0.013556174,"about_ca_system_score_codex":0.0019620135,"about_ca_system_score_gemma":0.001180801,"threshold_uncertainty_score":0.01916647},"labels":[],"label_agreement":null},{"id":"W2079206361","doi":"10.1007/s00259-008-0998-4","title":"FDG-PET/CT imaging in the management of HIV-associated multicentric Castleman’s disease","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Human immunodeficiency virus (HIV); Castleman disease; Radiology; Pet imaging; Positron emission tomography; Disease; Nuclear medicine; Pathology; Virology","score_opus":0.012072658265810493,"score_gpt":0.24563018970551273,"score_spread":0.23355753143970223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079206361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83398306,0.11966023,0.002516126,0.014162493,0.00071669114,0.00023328232,0.00017933911,0.00010411185,0.02844467],"genre_scores_gemma":[0.9865146,0.010353458,0.0011025313,0.0009318289,0.0005960319,0.000023479775,0.000051399904,0.000008214985,0.0004185685],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.99960655,0.00011794349,0.00006237006,0.000034971352,0.00006261776,0.00011570075],"domain_scores_gemma":[0.99942786,0.00025795682,0.0000664531,0.00002496204,0.00005625948,0.00016649178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009824946,0.0008834132,0.0010035564,0.0021355546,0.0013773141,0.00095808733,0.0012259702,0.0026184567,0.0010934934],"category_scores_gemma":[0.002860696,0.00044443228,0.00048738046,0.0012593925,0.0010651691,0.0011547414,0.00053139013,0.0022464776,0.00029962574],"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":[0.002642822,0.00045857896,0.110159636,0.00062613277,0.00013721126,0.7859434,0.00045417136,0.002262855,0.007605305,0.0010570158,0.0038032294,0.08484967],"study_design_scores_gemma":[0.0003339997,0.0012124941,0.10491474,0.00069933565,0.00027920134,0.86605227,0.0012558132,0.0073492276,0.0048103663,0.001945482,0.011061858,0.000085267566],"about_ca_topic_score_codex":0.0029082184,"about_ca_topic_score_gemma":0.0038890496,"teacher_disagreement_score":0.0029082184,"about_ca_system_score_codex":0.00090862595,"about_ca_system_score_gemma":0.000994503,"threshold_uncertainty_score":0.0065925717},"labels":[],"label_agreement":null},{"id":"W2080168595","doi":"10.1007/s00259-010-1506-1","title":"Comparison of bifunctional chelates for 64Cu antibody imaging","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia; BC Cancer Agency; Nordion (Canada)","funders":"","keywords":"Bifunctional; Chelation; Medicine; Nuclear medicine; Chemistry; Biochemistry; Organic chemistry","score_opus":0.026864490932061152,"score_gpt":0.3772565125188219,"score_spread":0.35039202158676075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080168595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606844,0.014384013,0.01718153,0.00032906808,0.00011519759,0.00011168901,0.00033679238,0.00022033356,0.006637068],"genre_scores_gemma":[0.979606,0.004479335,0.01170137,0.00016259242,0.000023780096,0.00006654109,0.00067753857,0.00011728025,0.0031654858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944633,0.00020604773,0.000031238324,0.00007680022,0.00010687556,0.00013273938],"domain_scores_gemma":[0.9995869,0.00013029647,0.000054850923,0.000037205067,0.00013369546,0.000057103753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011439044,0.0005130512,0.00061669113,0.00068768073,0.00040474493,0.0009268254,0.00062704494,0.0009010024,0.0016380473],"category_scores_gemma":[0.0012497612,0.00033581705,0.0002829541,0.00044107926,0.00032615956,0.0005307768,0.00057223643,0.00044501622,0.00049674825],"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":[0.0033483047,0.00007691833,0.00036091678,0.0004575747,0.000055566652,0.00008040948,0.000091671776,0.0004191428,0.982044,0.000713427,0.00034576646,0.01200629],"study_design_scores_gemma":[0.000077223434,0.0006590619,0.00086835783,0.00002836222,0.000092772294,0.00024359749,0.00004069416,0.0017855471,0.99103844,0.00007187555,0.0050758533,0.000018234945],"about_ca_topic_score_codex":0.001609498,"about_ca_topic_score_gemma":0.0019425312,"teacher_disagreement_score":0.0016380473,"about_ca_system_score_codex":0.0007652033,"about_ca_system_score_gemma":0.00035394068,"threshold_uncertainty_score":0.006049633},"labels":[],"label_agreement":null},{"id":"W2082938336","doi":"10.1007/s00259-007-0375-8","title":"Does combined imaging of the pre- and postsynaptic dopaminergic system increase the diagnostic accuracy in the differential diagnosis of parkinsonism?","year":2007,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"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":"Postsynaptic potential; Dopaminergic; Parkinsonism; Neuroscience; Dopamine transporter; Medicine; Internal medicine; Dopamine; Receptor; Psychology; Disease","score_opus":0.006457888238128208,"score_gpt":0.23511591238751497,"score_spread":0.22865802414938677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082938336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6838207,0.17771067,0.024497809,0.07406449,0.00556822,0.00030325723,0.0006245505,0.0007712136,0.03263899],"genre_scores_gemma":[0.933674,0.029926924,0.018158402,0.007559571,0.009034761,0.00006484829,0.00024918062,0.00010515623,0.0012271816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947673,0.0019725347,0.0008003251,0.0005249366,0.0015167744,0.00041806736],"domain_scores_gemma":[0.9464102,0.03775837,0.004160717,0.002606995,0.00744734,0.0016164414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011931734,0.0016674387,0.0045613265,0.0035250613,0.00086773623,0.0025014575,0.002506958,0.009903322,0.0041559143],"category_scores_gemma":[0.070742644,0.0013160431,0.0016054085,0.0018475772,0.0030533776,0.006701,0.0008770599,0.0036503547,0.0031465504],"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":[0.0053589866,0.0006211277,0.68197024,0.0016443931,0.0014432414,0.016214442,0.00022822506,0.0010925829,0.020738574,0.0009730658,0.00892714,0.2607879],"study_design_scores_gemma":[0.0008489739,0.005163657,0.66873217,0.0019071117,0.0048587215,0.23446533,0.0015545038,0.023989476,0.026414376,0.009699199,0.022013046,0.00035336165],"about_ca_topic_score_codex":0.0015073546,"about_ca_topic_score_gemma":0.003594752,"teacher_disagreement_score":0.011931734,"about_ca_system_score_codex":0.0006600583,"about_ca_system_score_gemma":0.0010718028,"threshold_uncertainty_score":0.06310177},"labels":[],"label_agreement":null},{"id":"W2083862221","doi":"10.1007/s00259-014-2772-0","title":"18F-FDG PET predicts survival after pretargeted radioimmunotherapy in patients with progressive metastatic medullary thyroid carcinoma","year":2014,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotel Dieu Hospital","funders":"Agence Nationale de la Recherche","keywords":"Medicine; Response Evaluation Criteria in Solid Tumors; Biomarker; Radioimmunotherapy; Medullary thyroid cancer; Imaging biomarker; Thyroid carcinoma; Oncology; Progressive disease; Nuclear medicine; Internal medicine; Thyroid cancer; Calcitonin; Radiology; Cancer; Magnetic resonance imaging; Thyroid; Disease; Monoclonal antibody","score_opus":0.005144103643443215,"score_gpt":0.2134913678572001,"score_spread":0.20834726421375688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083862221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988802,0.00047705125,0.000036878042,0.00008087611,0.000009366884,0.000002209551,0.000050459166,0.000003266299,0.00045972565],"genre_scores_gemma":[0.999554,0.00011838431,0.000020388396,0.000028582279,0.00001641059,0.0000020190598,0.000108821776,0.0000011775588,0.00015019653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999006,0.000017873554,0.0000084850035,0.000017570326,0.000017649072,0.00003781836],"domain_scores_gemma":[0.99952936,0.00014701363,0.0001158021,0.000022206474,0.00004774673,0.00013785597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023070879,0.00028411188,0.00029348698,0.00037242708,0.00033845793,0.00044614435,0.00030263737,0.000652393,0.00097153033],"category_scores_gemma":[0.0011292025,0.00014531145,0.000358973,0.00039002582,0.00037668546,0.00038205308,0.0002489155,0.00045105364,0.00021645984],"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":[0.0006250103,0.00004521708,0.99297184,0.000010952076,0.000029391094,0.0006675314,0.00006968255,0.00018194594,0.0016671804,0.000018941962,0.00012492422,0.0035873337],"study_design_scores_gemma":[0.000014713464,0.00030961723,0.9971751,0.0000049166756,0.00006094928,0.0013443592,0.00013589607,0.00038539813,0.00022487761,0.000051151215,0.00028824565,0.000004747787],"about_ca_topic_score_codex":0.0034720052,"about_ca_topic_score_gemma":0.0052635856,"teacher_disagreement_score":0.0034720052,"about_ca_system_score_codex":0.0005194019,"about_ca_system_score_gemma":0.00034112786,"threshold_uncertainty_score":0.006903589},"labels":[],"label_agreement":null},{"id":"W2092896138","doi":"10.1007/s00259-002-0950-y","title":"Imaging cAMP-specific phosphodiesterase-4 in human brain with R -[ 11 C]rolipram and positron emission tomography","year":2002,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Phosphodiesterase function and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Rolipram; Positron emission tomography; Phosphodiesterase; PDE10A; Human brain; Functional imaging; Chemistry; Stimulation; Internal medicine; Endocrinology; Neuroscience; Enzyme; Medicine; Biochemistry; Biology","score_opus":0.007450778083554,"score_gpt":0.21459525457177966,"score_spread":0.20714447648822568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092896138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93206537,0.028268619,0.028362911,0.0013631027,0.00013811032,0.00029951386,0.0010520391,0.00034327482,0.008107115],"genre_scores_gemma":[0.963081,0.012059172,0.01816575,0.00038608818,0.000088940455,0.0003579368,0.0008415002,0.00009918345,0.00492035],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989545,0.00003661934,0.000004471729,0.000022416612,0.000010019394,0.000030974454],"domain_scores_gemma":[0.9999099,0.000041824394,0.000015255011,0.000012774868,0.0000090185,0.000011171357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048361573,0.0006557685,0.0007151551,0.0005799416,0.0005107674,0.00059178873,0.0008774633,0.0010717564,0.0018480179],"category_scores_gemma":[0.0006370158,0.0006667897,0.00034891246,0.0005147772,0.00080946356,0.00075010094,0.00028041488,0.00095209427,0.00043141062],"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":[0.017744718,0.0005367418,0.010387893,0.0011658584,0.00047525734,0.009072492,0.0007257637,0.0024272914,0.89900166,0.001859105,0.0024615147,0.05414172],"study_design_scores_gemma":[0.0035281412,0.008798565,0.09991611,0.00016832878,0.0022439966,0.03451618,0.0011982931,0.023682281,0.8050214,0.0031828596,0.01759051,0.00015343564],"about_ca_topic_score_codex":0.009937507,"about_ca_topic_score_gemma":0.0075258203,"teacher_disagreement_score":0.009937507,"about_ca_system_score_codex":0.00062637776,"about_ca_system_score_gemma":0.0008132112,"threshold_uncertainty_score":0.019759297},"labels":[],"label_agreement":null},{"id":"W2093928424","doi":"10.1007/s00259-002-0839-9","title":"Imaging expression of adenoviral HSV1-tk suicide gene transfer using the nucleoside analogue FIRU","year":2002,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodistribution; Molecular biology; In vivo; Transfection; Chemistry; Gene expression; Genetic enhancement; Gliosarcoma; In vitro; Cancer research; Biology; Gene; Biochemistry; Glioma","score_opus":0.02882744149933606,"score_gpt":0.28146047709234856,"score_spread":0.2526330355930125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093928424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940308,0.0035076656,0.04694664,0.00039987802,0.000079428864,0.00010113634,0.000312253,0.00043160125,0.007913335],"genre_scores_gemma":[0.94312626,0.0017335233,0.0463318,0.0000854615,0.0000133921485,0.000093386545,0.0003825862,0.00013207836,0.008101579],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986017,0.000025929952,0.000005337244,0.00003909023,0.00003192741,0.000037539616],"domain_scores_gemma":[0.9998987,0.00004294891,0.000018012226,0.0000130873,0.000012533889,0.00001475686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034085865,0.0004726476,0.0004166623,0.0003118154,0.00028548556,0.00071940164,0.00054536655,0.0008197032,0.0009844735],"category_scores_gemma":[0.000270416,0.00031310323,0.00023818898,0.00021879647,0.0003194258,0.00042005573,0.0002313586,0.0008212583,0.00035837738],"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":[0.00006590193,0.000012405797,0.000049381008,0.000043303953,0.0000032161206,0.00004469566,0.000028568553,0.00015105546,0.99711597,0.00060064485,0.00004701972,0.0018379643],"study_design_scores_gemma":[0.000011530731,0.00004772933,0.0003273637,0.000005715316,0.0000065834847,0.00015260659,0.000014433346,0.0017801332,0.9961414,0.00005634997,0.0014524258,0.0000039098445],"about_ca_topic_score_codex":0.002304178,"about_ca_topic_score_gemma":0.0015502127,"teacher_disagreement_score":0.002304178,"about_ca_system_score_codex":0.0009895227,"about_ca_system_score_gemma":0.0005455181,"threshold_uncertainty_score":0.0071795583},"labels":[],"label_agreement":null},{"id":"W2094416575","doi":"10.1007/s00259-004-1719-2","title":"Are dual-phase 18F-FDG PET scans necessary in nasopharyngeal carcinoma to assess the primary tumour and loco-regional nodes?","year":2004,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Nasopharyngeal carcinoma; Medicine; Nuclear medicine; Radiology; Carcinoma; Pathology; Radiation therapy","score_opus":0.03671706756214725,"score_gpt":0.3058839553677497,"score_spread":0.26916688780560244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094416575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9216958,0.03724037,0.0049538035,0.016984198,0.0013411558,0.00012246659,0.00043054417,0.000114245835,0.017117536],"genre_scores_gemma":[0.97911286,0.011103121,0.004454382,0.0026780998,0.0014914465,0.000043757067,0.00030461146,0.000054253454,0.0007575621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870527,0.00022480918,0.00031349427,0.00013181374,0.00025560436,0.00036902312],"domain_scores_gemma":[0.9919898,0.0046537514,0.0010022777,0.00048190376,0.0010855717,0.00078668067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032860613,0.0009123607,0.0016322816,0.0015341296,0.0008957744,0.0017793204,0.0014642788,0.006048348,0.0038510587],"category_scores_gemma":[0.018935157,0.0011916488,0.0013683185,0.001470194,0.0027058932,0.004881795,0.00043384422,0.0020284334,0.0020289053],"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":[0.0050665266,0.00032973124,0.80116224,0.0008908884,0.00019804608,0.07339052,0.00032711032,0.0012040575,0.027493704,0.0005952916,0.00392835,0.085413516],"study_design_scores_gemma":[0.00043609625,0.0024927196,0.6698925,0.00091657875,0.0010494025,0.26891947,0.005439236,0.0052165897,0.025917767,0.0034985256,0.016030438,0.00019073977],"about_ca_topic_score_codex":0.004306448,"about_ca_topic_score_gemma":0.0087736165,"teacher_disagreement_score":0.006048348,"about_ca_system_score_codex":0.0012722136,"about_ca_system_score_gemma":0.0017408353,"threshold_uncertainty_score":0.017378569},"labels":[],"label_agreement":null},{"id":"W2098341589","doi":"10.1007/s00259-009-1199-5","title":"Somatostatin receptor scintigraphy might be useful for detecting skeleton abnormalities in patients with multiple myeloma and plasmacytoma","year":2009,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Medicine; Somatostatin receptor; Multiple myeloma; Plasmacytoma; Scintigraphy; Radiography; Somatostatin; Immunohistochemistry; Pathology; Internal medicine; Radiology; Nuclear medicine; Gastroenterology","score_opus":0.01113139021116028,"score_gpt":0.24742062039074733,"score_spread":0.23628923017958706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098341589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965695,0.0016445253,0.0004043264,0.00017037403,0.000012331899,0.00001351201,0.00006300972,0.00003009073,0.0010922905],"genre_scores_gemma":[0.998928,0.000346976,0.0004065313,0.0000876184,0.000030515648,0.000005349509,0.00006615064,0.0000030498845,0.0001258932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998196,0.00005201211,0.00002941536,0.000032358563,0.000041487132,0.000025181847],"domain_scores_gemma":[0.9993932,0.0002749137,0.00013762535,0.000028682172,0.000066144166,0.00009947015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045545198,0.00049340556,0.00046567537,0.000672473,0.00020635438,0.00035934313,0.0002395434,0.0007312981,0.0016640289],"category_scores_gemma":[0.0022536027,0.00018587735,0.00023522461,0.00035815022,0.00042681608,0.00041076515,0.00020403053,0.00041491847,0.00044722503],"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":[0.0009765049,0.000067453926,0.95404583,0.00008295622,0.000041034946,0.0060770195,0.00009435874,0.0001747204,0.01642336,0.000034370772,0.00035127313,0.021631036],"study_design_scores_gemma":[0.00013160436,0.0019426777,0.9424692,0.000045464993,0.00013594767,0.04278829,0.00025976828,0.002209505,0.008686291,0.00013367798,0.0011787476,0.000018859379],"about_ca_topic_score_codex":0.000798967,"about_ca_topic_score_gemma":0.001042248,"teacher_disagreement_score":0.0016640289,"about_ca_system_score_codex":0.00021079762,"about_ca_system_score_gemma":0.00021619006,"threshold_uncertainty_score":0.005566776},"labels":[],"label_agreement":null},{"id":"W2109496481","doi":"10.1007/s00259-010-1396-2","title":"FDG positron emission tomography/computed tomography studies of Wilms’ tumor","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital","funders":"National Cancer Institute","keywords":"Medicine; Radiology; Wilms' tumor; Lung; Metastasis; Nuclear medicine; Positron emission tomography; Cancer; Pathology; Internal medicine","score_opus":0.006186816986553509,"score_gpt":0.2420500481516327,"score_spread":0.23586323116507918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109496481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803572,0.008732895,0.0009926432,0.00043784338,0.00005658514,0.00004695459,0.0004032268,0.00007728431,0.008895359],"genre_scores_gemma":[0.9976172,0.001300827,0.00030766503,0.00009694424,0.000056527122,0.0000074050354,0.00013891257,0.000016718328,0.00045786687],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9998247,0.000023004583,0.000026943706,0.000037094724,0.000029475435,0.000058889033],"domain_scores_gemma":[0.9995264,0.00019014002,0.00004922151,0.000040185463,0.00006356151,0.00013057729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003542894,0.0007689635,0.00046350356,0.0022143798,0.0005292552,0.00046309596,0.0006976517,0.0011624332,0.0020656707],"category_scores_gemma":[0.0014730281,0.0005565027,0.00049944984,0.00080514356,0.0007817805,0.0007036485,0.00023851011,0.00058441056,0.0005668387],"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":[0.0012841495,0.00011668643,0.12647788,0.00016007597,0.000077605335,0.82567143,0.00031146352,0.0008167671,0.034697182,0.0005822776,0.0005451442,0.009259311],"study_design_scores_gemma":[0.00011167361,0.00055489474,0.21775891,0.00005698771,0.00033165576,0.7272413,0.00040622737,0.0017973054,0.045744244,0.0006382963,0.0053132246,0.00004535663],"about_ca_topic_score_codex":0.005956815,"about_ca_topic_score_gemma":0.0029831268,"teacher_disagreement_score":0.005956815,"about_ca_system_score_codex":0.00094091066,"about_ca_system_score_gemma":0.0006033665,"threshold_uncertainty_score":0.011844337},"labels":[],"label_agreement":null},{"id":"W2115611454","doi":"10.1007/s00259-001-0736-7","title":"FDG-PET as a \"metabolic biopsy\" tool in non-lung lesions with indeterminate biopsy","year":2002,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Biopsy; Malignancy; Radiology; Positron emission tomography; Fluorodeoxyglucose; Lesion; Lung; Indeterminate; Target lesion; Nuclear medicine; Pathology; Internal medicine","score_opus":0.013829200788899555,"score_gpt":0.27376206016131627,"score_spread":0.2599328593724167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115611454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603092,0.020884559,0.0054133316,0.0017029255,0.0002960432,0.00009013631,0.00014046993,0.0001545884,0.011008732],"genre_scores_gemma":[0.9952598,0.0014732084,0.0025516395,0.00019277573,0.00014790568,0.000017778963,0.00006725201,0.00001581559,0.00027383098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989992,0.00042151063,0.0001657684,0.0000765445,0.00017469971,0.00016233038],"domain_scores_gemma":[0.996664,0.0020773239,0.00020549606,0.0002003708,0.00043761465,0.0004151756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028509072,0.0013492382,0.0010621262,0.003216232,0.00063826883,0.001587547,0.0013783862,0.0028864997,0.0018217093],"category_scores_gemma":[0.0115093365,0.00053875096,0.0005671027,0.0010024828,0.0010671578,0.001837708,0.0005819924,0.0011009502,0.0008642183],"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":[0.009793277,0.00030824702,0.72150016,0.00054819067,0.000090388814,0.15937248,0.00041139836,0.0013102072,0.021655722,0.0010596998,0.0013767233,0.08257359],"study_design_scores_gemma":[0.00041523133,0.0043491516,0.39407167,0.0005450141,0.00092487136,0.51315814,0.0017682002,0.03244284,0.041340154,0.0025864504,0.008271307,0.00012701788],"about_ca_topic_score_codex":0.00058307115,"about_ca_topic_score_gemma":0.0010707526,"teacher_disagreement_score":0.003216232,"about_ca_system_score_codex":0.00036686944,"about_ca_system_score_gemma":0.00044336994,"threshold_uncertainty_score":0.015077233},"labels":[],"label_agreement":null},{"id":"W2128655016","doi":"10.1007/s00259-008-0891-1","title":"MicroPET imaging of 5-HT1A receptors in rat brain: a test–retest [18F]MPPF study","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Douglas Mental Health University Institute; Douglas College; McGill University","funders":"","keywords":"Entorhinal cortex; Raphe nuclei; Median raphe nucleus; Prefrontal cortex; Raphe; Radioligand; Hippocampus; Neuroscience; Area postrema; Chemistry; Internal medicine; Endocrinology; Medicine; Receptor; Serotonin; Biology; Serotonergic","score_opus":0.026222543080159425,"score_gpt":0.2718027285922636,"score_spread":0.2455801855121042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128655016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98746544,0.0006807275,0.0101120295,0.000098616176,0.00009292882,0.00014408767,0.00044672564,0.00014889833,0.0008104225],"genre_scores_gemma":[0.97978354,0.0008537062,0.00866566,0.00021206151,0.00007541705,0.0005287032,0.001151849,0.0003116178,0.008417397],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991364,0.0001230449,0.0000498057,0.00032165396,0.00019335689,0.00017581468],"domain_scores_gemma":[0.99769586,0.00085998006,0.00038454967,0.00047357153,0.0003756552,0.0002102808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012143875,0.0011512701,0.0013587142,0.0007789644,0.0010289272,0.00059915485,0.0010633761,0.001302939,0.0014713149],"category_scores_gemma":[0.0021083492,0.0010385687,0.0006125575,0.00039468112,0.0012174909,0.002010588,0.00050200213,0.002810534,0.0005870412],"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":[0.0031432672,0.0009591201,0.0026677758,0.000050349212,0.0001454945,0.000105477164,0.0002516904,0.00025247864,0.9850513,0.00007555227,0.00013037866,0.0071671954],"study_design_scores_gemma":[0.00021863781,0.018433912,0.08342471,0.0000087180315,0.0006262164,0.0008618108,0.00025216973,0.004643416,0.8901541,0.00021969252,0.001065984,0.000090699585],"about_ca_topic_score_codex":0.008363523,"about_ca_topic_score_gemma":0.014464463,"teacher_disagreement_score":0.008363523,"about_ca_system_score_codex":0.00067670166,"about_ca_system_score_gemma":0.00060312764,"threshold_uncertainty_score":0.016629696},"labels":[],"label_agreement":null},{"id":"W2137788518","doi":"10.1007/s00259-002-0816-3","title":"Limbic system perfusion in Alzheimer's disease measured by MRI-coregistered HMPAO SPET","year":2002,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Limbic lobe; Limbic system; Posterior cingulate; Orbitofrontal cortex; Entorhinal cortex; Cingulate cortex; Basal forebrain; Hippocampus; Thalamus; Perfusion; Medicine; Anterior cingulate cortex; Parahippocampal gyrus; Cortex (anatomy); Internal medicine; Neuroscience; Temporal lobe; Pathology; Psychology; Prefrontal cortex; Central nervous system; Radiology","score_opus":0.05604775810994017,"score_gpt":0.29053013528331767,"score_spread":0.2344823771733775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137788518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493575,0.0010565375,0.0013399135,0.00006180111,0.000010160456,0.000035196088,0.00028658475,0.00003968359,0.0022342722],"genre_scores_gemma":[0.9972965,0.00062573433,0.001022428,0.000043588723,0.000012488974,0.00003141929,0.00013848094,0.000012854915,0.0008165255],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993443,0.000017114558,0.000005130706,0.000013391392,0.000011228339,0.00001869935],"domain_scores_gemma":[0.9998746,0.000045116463,0.000020036467,0.000011547242,0.00002628174,0.000022473081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042005695,0.0005268345,0.00036775536,0.00061651773,0.00029881133,0.00041754436,0.0002626354,0.0006708244,0.0028130768],"category_scores_gemma":[0.00081907935,0.000271696,0.00018236783,0.00044791147,0.00049454573,0.0006962363,0.00022254532,0.0005113549,0.00030369408],"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":[0.032961186,0.0008789908,0.13457961,0.0009426014,0.00064914784,0.01796931,0.0016507315,0.004005989,0.6968962,0.0018033708,0.0018930967,0.10576982],"study_design_scores_gemma":[0.0005208283,0.0034700716,0.833424,0.00008825447,0.00087857596,0.02343545,0.00049996556,0.017348306,0.115796916,0.0024340402,0.0020376963,0.00006601998],"about_ca_topic_score_codex":0.007851312,"about_ca_topic_score_gemma":0.0059184143,"teacher_disagreement_score":0.007851312,"about_ca_system_score_codex":0.00038123812,"about_ca_system_score_gemma":0.00037110285,"threshold_uncertainty_score":0.015611231},"labels":[],"label_agreement":null},{"id":"W2141270601","doi":"10.1007/s00259-011-2053-0","title":"Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma","year":2012,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Thresholding; Segmentation; Artificial intelligence; Image segmentation; Pattern recognition (psychology); Computer science; Laryngectomy; Nuclear medicine; Mathematics; Medicine; Larynx; Image (mathematics); Surgery","score_opus":0.037620713626654284,"score_gpt":0.37747103715079494,"score_spread":0.3398503235241407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141270601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35920727,0.012197146,0.6235545,0.00026334,0.00011990475,0.0004288687,0.0003073718,0.001800331,0.0021212094],"genre_scores_gemma":[0.5074736,0.002120341,0.48855028,0.0000888771,0.000049615774,0.0003609974,0.00048106804,0.00022113042,0.0006542013],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683785,0.0011068932,0.0002997624,0.000376905,0.0013004072,0.00007818495],"domain_scores_gemma":[0.9945807,0.002979374,0.00052027125,0.0004021545,0.0014483618,0.00006913069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006887413,0.00073704775,0.000723477,0.003242189,0.00047340462,0.001492646,0.0010745135,0.0012974871,0.00093666563],"category_scores_gemma":[0.012877778,0.00046783124,0.0009169535,0.0016765984,0.00059166434,0.0007734759,0.00062088075,0.00046002914,0.00038718848],"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":[0.0024123306,0.00023373941,0.053449497,0.00164205,0.0011270469,0.00028742818,0.0006984708,0.060727183,0.16756557,0.0019087857,0.00088381086,0.70906407],"study_design_scores_gemma":[0.0002524066,0.0022378978,0.121850565,0.00036638085,0.0009896379,0.004625518,0.0004905813,0.64060235,0.21634509,0.0024705979,0.009499903,0.000269028],"about_ca_topic_score_codex":0.0022010542,"about_ca_topic_score_gemma":0.0036022642,"teacher_disagreement_score":0.006887413,"about_ca_system_score_codex":0.0010739492,"about_ca_system_score_gemma":0.0007964794,"threshold_uncertainty_score":0.036424518},"labels":[],"label_agreement":null},{"id":"W2148962716","doi":"10.1007/s00259-009-1154-5","title":"Initial results of hypoxia imaging using 1-α-d-(5-deoxy-5-[18F]-fluoroarabinofuranosyl)-2-nitroimidazole (18F-FAZA)","year":2009,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":160,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodistribution; Medicine; Hypoxia (environmental); Nuclear medicine; Positron emission tomography; Lung cancer; Tumor hypoxia; Lymphoma; Nitroimidazole; Imaging agent; In vivo; Radiation therapy; Pathology; Radiology; Chemistry; Biology","score_opus":0.014578500685894507,"score_gpt":0.26647587670399075,"score_spread":0.25189737601809625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148962716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8771882,0.017439038,0.07415639,0.002163935,0.00026970636,0.00068245956,0.00087615673,0.00095691823,0.0262672],"genre_scores_gemma":[0.93235606,0.0057458696,0.041732077,0.00050793774,0.00012621754,0.0003843145,0.0011162633,0.00022742244,0.017803762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996531,0.00013933564,0.000012120309,0.000051147483,0.000052662133,0.00009161362],"domain_scores_gemma":[0.9994924,0.0002510476,0.000037381116,0.00004335975,0.00010963736,0.00006610664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012812275,0.0007995562,0.0005006746,0.00043226418,0.0006049939,0.00042797622,0.00045488836,0.00095059816,0.0019324649],"category_scores_gemma":[0.000868321,0.00024415972,0.00030727047,0.00022468441,0.0005645195,0.0005077103,0.00030978688,0.0007468549,0.0006449174],"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":[0.0006564006,0.00025968326,0.00060667715,0.00010879077,0.000030605854,0.00023277702,0.0002086313,0.00034266734,0.9894421,0.00033827376,0.0005032421,0.007270142],"study_design_scores_gemma":[0.000045906145,0.00092722656,0.002296598,0.000006067102,0.000053522715,0.00044346804,0.000040705276,0.00056898344,0.9907477,0.00010135568,0.004757888,0.000010498079],"about_ca_topic_score_codex":0.0032717586,"about_ca_topic_score_gemma":0.0033004845,"teacher_disagreement_score":0.0032717586,"about_ca_system_score_codex":0.0005479478,"about_ca_system_score_gemma":0.00033741942,"threshold_uncertainty_score":0.006775856},"labels":[],"label_agreement":null},{"id":"W2149534559","doi":"10.1007/s00259-003-1134-0","title":"Antisense imaging of epidermal growth factor-induced p21 WAF-1/CIP-1 gene expression in MDA-MB-468 human breast cancer xenografts","year":2003,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Gene expression; Epidermal growth factor; Molecular biology; Cancer research; Biology; Messenger RNA; Gene; Cyclin D1; Cell cycle; Cell culture; Genetics","score_opus":0.018095352739871607,"score_gpt":0.2695223886839455,"score_spread":0.2514270359440739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149534559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758709,0.0022144895,0.013045357,0.0006292624,0.00015393329,0.00011051506,0.0009135589,0.00035008116,0.0067119244],"genre_scores_gemma":[0.9746941,0.0018268209,0.012458824,0.00010589953,0.000033920198,0.00014397543,0.00065769977,0.00012613741,0.009952673],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987054,0.000018831313,0.0000070871374,0.000030119054,0.00003030975,0.0000431666],"domain_scores_gemma":[0.99985945,0.000052964406,0.000029295086,0.000014022785,0.000019868226,0.000024259303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028202895,0.00043834886,0.00034417628,0.000361518,0.00027586607,0.00043077342,0.00036570572,0.0005250123,0.0022889562],"category_scores_gemma":[0.0001411764,0.00036392058,0.00026723352,0.00028263676,0.00029551866,0.00036421855,0.00012455344,0.0012415325,0.0003360576],"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":[0.00015487749,0.00003881816,0.00005059566,0.00003849724,0.0000070564006,0.000035110617,0.000019525796,0.00023082754,0.9983065,0.00042351734,0.000113090995,0.00058163673],"study_design_scores_gemma":[0.00005262862,0.00016994122,0.00096802495,0.0000040777586,0.000020729176,0.0001339295,0.000024974679,0.0022652035,0.994735,0.0000593094,0.0015614051,0.000004802291],"about_ca_topic_score_codex":0.0055169836,"about_ca_topic_score_gemma":0.003717365,"teacher_disagreement_score":0.0055169836,"about_ca_system_score_codex":0.0006923028,"about_ca_system_score_gemma":0.00047403414,"threshold_uncertainty_score":0.010969698},"labels":[],"label_agreement":null},{"id":"W2151347665","doi":"10.1007/s00259-011-1753-9","title":"Viability and proliferation potential of adipose-derived stem cells following labeling with a positron-emitting radiotracer","year":2011,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics; University of Manitoba; St. Boniface Hospital; University of Winnipeg","funders":"Canadian Institutes of Health Research","keywords":"Stem cell; Adipose tissue; Positron emission tomography; Medicine; Nuclear medicine; Pathology; Cancer research; Internal medicine; Biology; Cell biology","score_opus":0.01851917419551203,"score_gpt":0.24514066670981974,"score_spread":0.22662149251430772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151347665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927004,0.0016817662,0.002110153,0.000054356795,0.000026756845,0.000012996952,0.0003426052,0.000018122915,0.0030527466],"genre_scores_gemma":[0.9929583,0.0007038113,0.0015998511,0.00003313639,0.000011535251,0.000029370267,0.00073087844,0.000015606764,0.0039175428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998474,0.000028777342,0.000016571632,0.00003210023,0.000043079734,0.000032126994],"domain_scores_gemma":[0.99972385,0.00013213832,0.000030748946,0.000021468742,0.000055405246,0.00003631164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027150643,0.00017412726,0.00019315185,0.00022960018,0.00020590215,0.00049691333,0.00018061604,0.00030673455,0.0011677836],"category_scores_gemma":[0.00021070338,0.00015529554,0.00022857054,0.0002675866,0.0003028247,0.0003434486,0.00012987456,0.00047112003,0.00028088476],"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":[0.00092991174,0.000062667896,0.0014065977,0.000034693727,0.0000125460765,0.00016330564,0.0002532204,0.0002405807,0.99284244,0.0003303968,0.000037093578,0.0036865969],"study_design_scores_gemma":[0.00002426971,0.0004716826,0.008321114,0.0000052056425,0.000038359172,0.0001690281,0.00014570718,0.0014721735,0.98783547,0.00012151485,0.0013865414,0.000008847465],"about_ca_topic_score_codex":0.002045975,"about_ca_topic_score_gemma":0.0014984123,"teacher_disagreement_score":0.002045975,"about_ca_system_score_codex":0.00023524615,"about_ca_system_score_gemma":0.00032235752,"threshold_uncertainty_score":0.004068136},"labels":[],"label_agreement":null},{"id":"W2157448979","doi":"10.1007/s00259-010-1500-7","title":"The options for the future production of the medical isotope 99Mo","year":2010,"lang":"en","type":"editorial","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":59,"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":"Economic shortage; Government (linguistics); Production (economics); Service (business); Business; Environmental science; Economics; Marketing","score_opus":0.005482824464226978,"score_gpt":0.26390104556633986,"score_spread":0.2584182211021129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157448979","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024323208,0.30658296,0.059664357,0.21538402,0.0075756246,0.00010503425,0.00083235616,0.000849725,0.38468277],"genre_scores_gemma":[0.26270005,0.4206564,0.10434349,0.033774823,0.005051466,0.00029604678,0.0017314783,0.00070559635,0.17074063],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898416,0.00017649778,0.000029494448,0.00014679029,0.00050209963,0.00016097058],"domain_scores_gemma":[0.9992465,0.00017400444,0.00008088679,0.0000668113,0.00022715222,0.00020470672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032321217,0.00061257096,0.0004571287,0.0011143623,0.0015709492,0.0032312647,0.0018919881,0.003440853,0.04299916],"category_scores_gemma":[0.0023645363,0.00037756754,0.00082829257,0.0009905476,0.0022157275,0.0064007,0.002708521,0.0033986515,0.0118806185],"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":[0.0006841837,0.00023161169,0.0027268217,0.0019062554,0.00007149054,0.0018659047,0.000977036,0.0032017527,0.028276857,0.3978378,0.122141644,0.44007862],"study_design_scores_gemma":[0.0000145499225,0.00012226707,0.00048509342,0.00047443464,0.000018476652,0.0007015605,0.00045262987,0.0003978354,0.0037376117,0.03828196,0.95528054,0.000032965723],"about_ca_topic_score_codex":0.002786226,"about_ca_topic_score_gemma":0.0049509215,"teacher_disagreement_score":0.04299916,"about_ca_system_score_codex":0.0021743702,"about_ca_system_score_gemma":0.0035293633,"threshold_uncertainty_score":0.14384645},"labels":[],"label_agreement":null},{"id":"W2159130506","doi":"10.1007/s00259-015-3222-3","title":"Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer’s disease?","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Disconnection; Medicine; Disease; Posterior cingulate; Pathology; Neuroscience; Tau pathology; Alzheimer's disease; Psychology; Psychiatry; Cognition","score_opus":0.057854412202872164,"score_gpt":0.39423233869128627,"score_spread":0.3363779264884141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159130506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99684566,0.001187111,0.00028890406,0.00033877362,0.000035398265,0.000012153738,0.0001945045,0.000008793184,0.0010885765],"genre_scores_gemma":[0.9987686,0.0004113138,0.000121261524,0.00014830644,0.00004034616,0.000009379819,0.00022909879,0.000009703275,0.00026179527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973613,0.000041878382,0.000024434947,0.000099129866,0.000039072114,0.000059322727],"domain_scores_gemma":[0.99894613,0.00030465767,0.00043588036,0.00011851355,0.00008189786,0.00011296441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069524173,0.00045593307,0.0006978675,0.000900584,0.0002476847,0.00074990187,0.00058516447,0.000781544,0.0023946569],"category_scores_gemma":[0.002768566,0.00037291792,0.0005515193,0.0006673781,0.0011141351,0.0015367664,0.00049674616,0.00058269006,0.00046511242],"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":[0.005285177,0.00019718183,0.9311547,0.00023645372,0.0008824932,0.0014841876,0.0008542037,0.00021696539,0.024310248,0.0003611377,0.00055084197,0.034466557],"study_design_scores_gemma":[0.000015699448,0.00011116212,0.9986772,0.000010421747,0.000047347097,0.00035359053,0.00014920885,0.000057915688,0.00022141008,0.00023021972,0.000121345394,0.0000046285622],"about_ca_topic_score_codex":0.0025690638,"about_ca_topic_score_gemma":0.00661785,"teacher_disagreement_score":0.0025690638,"about_ca_system_score_codex":0.0002481783,"about_ca_system_score_gemma":0.0002557459,"threshold_uncertainty_score":0.008010864},"labels":[],"label_agreement":null},{"id":"W2168198903","doi":"10.1007/s00259-008-0923-x","title":"Associations between the uptake of 111In-DTPA-trastuzumab, HER2 density and response to trastuzumab (Herceptin) in athymic mice bearing subcutaneous human tumour xenografts","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North York General Hospital; University Health Network; University of Toronto","funders":"","keywords":"Trastuzumab; Medicine; Biodistribution; Nuclear medicine; Immunohistochemistry; Breast cancer; Cancer research; Cancer; Internal medicine; Chemistry; In vitro","score_opus":0.03705302276047759,"score_gpt":0.3158584600833648,"score_spread":0.2788054373228872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168198903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790907,0.0005723772,0.00042939812,0.000035566507,0.000011905031,0.000008656849,0.00028563492,0.000033071294,0.0007143752],"genre_scores_gemma":[0.9969681,0.00021951133,0.0002666895,0.00002731205,0.000009965994,0.000015853862,0.00040069406,0.0000133629765,0.0020785136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998276,0.000038402286,0.000013244417,0.00003848867,0.000028208608,0.000053930573],"domain_scores_gemma":[0.99942774,0.00027462575,0.00011365701,0.000041774852,0.00003933219,0.000102897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031590878,0.0002238202,0.0003576603,0.00028800502,0.0000948693,0.0003758309,0.00017547666,0.00041000027,0.0015627303],"category_scores_gemma":[0.00047065568,0.00022475683,0.0001682958,0.00023061663,0.0002701485,0.0003281019,0.00012408732,0.00063151005,0.00032316064],"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":[0.007900372,0.000334166,0.00438757,0.000034878725,0.000035292185,0.00012788012,0.00007342032,0.00056078477,0.9845643,0.00011496403,0.00017773421,0.0016885014],"study_design_scores_gemma":[0.00021636466,0.008465332,0.106573015,0.0000052931664,0.00013068564,0.00077410846,0.00015057296,0.006111337,0.8760033,0.0001650681,0.0013754737,0.000029420775],"about_ca_topic_score_codex":0.001782865,"about_ca_topic_score_gemma":0.0012312932,"teacher_disagreement_score":0.001782865,"about_ca_system_score_codex":0.00036283556,"about_ca_system_score_gemma":0.00013441092,"threshold_uncertainty_score":0.0052279234},"labels":[],"label_agreement":null},{"id":"W2169396775","doi":"10.1007/s002590000365","title":"Imaging the serotonin transporter with positron emission tomography: initial human studies with [11C]DAPP and [11C]DASB","year":2000,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":275,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Petro-Canada; Centre for Addiction and Mental Health","funders":"","keywords":"Serotonin transporter; Serotonin; Reuptake; Positron emission tomography; Binding potential; Reuptake inhibitor; Norepinephrine transporter; Chemistry; Transporter; Serotonin reuptake inhibitor; Radioligand; Serotonin Plasma Membrane Transport Proteins; Pharmacology; Citalopram; Nuclear medicine; Biochemistry; Medicine; Receptor","score_opus":0.02221304403650916,"score_gpt":0.2877055506060981,"score_spread":0.26549250656958895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169396775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8572943,0.07893235,0.025714742,0.004837785,0.000402544,0.0018745298,0.0022564756,0.00031530618,0.028371861],"genre_scores_gemma":[0.93355066,0.043554474,0.00968321,0.002284692,0.00024253466,0.0005335563,0.001914306,0.00019130037,0.0080453865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999288,0.00044890505,0.000029164421,0.00008792383,0.00005305558,0.00009304079],"domain_scores_gemma":[0.9987179,0.000661473,0.000092890834,0.00021707124,0.00018756323,0.0001232444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032595885,0.0018484805,0.0011545654,0.0005996127,0.001129167,0.0010287885,0.0010242278,0.00218224,0.0033772045],"category_scores_gemma":[0.0028783507,0.0010250543,0.00047981335,0.0007124412,0.0033399852,0.0015732208,0.00049809983,0.0019224534,0.0010751187],"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":[0.09931271,0.020413592,0.047168344,0.0047785128,0.0030168055,0.022834452,0.006199346,0.00635084,0.45442027,0.009983977,0.018949788,0.3065714],"study_design_scores_gemma":[0.008172177,0.14112194,0.10913309,0.0006493531,0.0041118786,0.06075107,0.00345376,0.0067399247,0.44016698,0.012094015,0.21299075,0.00061509275],"about_ca_topic_score_codex":0.010618117,"about_ca_topic_score_gemma":0.00968575,"teacher_disagreement_score":0.010618117,"about_ca_system_score_codex":0.0013521622,"about_ca_system_score_gemma":0.0009981551,"threshold_uncertainty_score":0.02111262},"labels":[],"label_agreement":null},{"id":"W2180539211","doi":"10.1007/s00259-015-3111-9","title":"Test–retest repeatability of myocardial blood flow and infarct size using 11C-acetate micro-PET imaging in mice","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Repeatability; Medicine; Nuclear medicine; Coronary artery disease; Myocardial infarction; Ex vivo; Histopathology; Enos; Blood flow; Internal medicine; In vivo; Cardiology; Pathology; Nitric oxide; Nitric oxide synthase; Chemistry; Biology","score_opus":0.014503036645463192,"score_gpt":0.2569217497660493,"score_spread":0.24241871312058613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180539211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9505636,0.00081205997,0.043737985,0.000087889275,0.00029635997,0.00051154237,0.00079768535,0.00072840153,0.0024645124],"genre_scores_gemma":[0.97213835,0.00024301355,0.018222108,0.00022760252,0.00008549359,0.0014486619,0.0010407706,0.0005437567,0.0060502053],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99492294,0.0011073088,0.00037404566,0.0019415999,0.0013704365,0.00028362882],"domain_scores_gemma":[0.9876226,0.0031303668,0.0017264461,0.003896633,0.003185843,0.0004380795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052548596,0.00083346415,0.00087702647,0.00073936686,0.00070745114,0.00073826325,0.000647688,0.001019748,0.0010159657],"category_scores_gemma":[0.007560915,0.00092178,0.00081973633,0.0003837437,0.00083554204,0.0007563892,0.0007771108,0.0013042103,0.0007884281],"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":[0.007994149,0.0022085914,0.0798929,0.0001790525,0.0014989224,0.00019857561,0.0020999992,0.0019092215,0.8646714,0.0003908901,0.0011859572,0.03777026],"study_design_scores_gemma":[0.0003708183,0.013982897,0.6283169,0.000031213047,0.0015864928,0.0005996078,0.0003440932,0.012506641,0.3356606,0.0006082411,0.0057696807,0.00022278514],"about_ca_topic_score_codex":0.0022789075,"about_ca_topic_score_gemma":0.005870067,"teacher_disagreement_score":0.0052548596,"about_ca_system_score_codex":0.0006325241,"about_ca_system_score_gemma":0.00034425175,"threshold_uncertainty_score":0.027790725},"labels":[],"label_agreement":null},{"id":"W2185409412","doi":"10.1007/s00259-015-3216-1","title":"A simple method for determining split renal function from dynamic 99mTc-MAG3 scintigraphic data","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of Saskatchewan","funders":"Grantová Agentura České Republiky","keywords":"Nuclear medicine; Subtraction; Medicine; Gamma camera; Limits of agreement; Mathematics; Renal function; Internal medicine","score_opus":0.047606902981513995,"score_gpt":0.3283422358906474,"score_spread":0.28073533290913344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185409412","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046834953,0.005547583,0.9349508,0.0004315819,0.00041403522,0.0007629106,0.0014155708,0.005720381,0.0039221602],"genre_scores_gemma":[0.15004595,0.0019694946,0.8397626,0.00040673258,0.00019371712,0.00071695336,0.000982988,0.00074217806,0.005179432],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885225,0.00021505031,0.00011545709,0.00026532612,0.000489748,0.00006213647],"domain_scores_gemma":[0.9969606,0.0014691164,0.00021128006,0.0003423653,0.00087648846,0.0001401241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024457425,0.0012940364,0.001709159,0.0054792147,0.00051870034,0.0016931929,0.0014451061,0.0016900708,0.005461566],"category_scores_gemma":[0.0052664746,0.0010798861,0.0007901513,0.0015734873,0.00060500164,0.0014326102,0.0013921851,0.0016937563,0.0033128823],"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":[0.0014237091,0.00017015362,0.026533645,0.0009928044,0.00031167993,0.00087645696,0.00020373939,0.0011851644,0.3737442,0.001473281,0.006210641,0.5868745],"study_design_scores_gemma":[0.0008185073,0.0023845437,0.16337673,0.00052969117,0.0019240996,0.065512605,0.0005638404,0.12095532,0.5712014,0.008172259,0.06329984,0.0012612215],"about_ca_topic_score_codex":0.0014598854,"about_ca_topic_score_gemma":0.0032702193,"teacher_disagreement_score":0.0054792147,"about_ca_system_score_codex":0.00032993438,"about_ca_system_score_gemma":0.00080962776,"threshold_uncertainty_score":0.01827079},"labels":[],"label_agreement":null},{"id":"W2508175901","doi":"10.1007/s00259-016-3486-2","title":"The prognostic and predictive value of sstr2-immunohistochemistry and sstr2-targeted imaging in neuroendocrine tumors","year":2016,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Somatostatin receptor 2; Medicine; Immunohistochemistry; Neuroendocrine tumors; Internal medicine; Tissue microarray; Oncology; Somatostatin receptor; Pathology; Nuclear medicine; Somatostatin","score_opus":0.00723176362599927,"score_gpt":0.27311661139177273,"score_spread":0.2658848477657735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508175901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940029,0.0033367237,0.0002980298,0.0002011918,0.000055814624,0.000005654705,0.00013509915,0.000012207328,0.0019524228],"genre_scores_gemma":[0.99901116,0.00042553715,0.0001232626,0.000026845584,0.00007507749,0.0000030052197,0.00013764936,0.0000034119005,0.00019403915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995654,0.00013557613,0.000051498322,0.00006330591,0.00008029557,0.00010393824],"domain_scores_gemma":[0.9976412,0.0010375689,0.00041151932,0.00016511278,0.00026813592,0.0004764338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015088918,0.0005557532,0.00045658284,0.0006656548,0.00029926977,0.0008879505,0.00046263798,0.0007496,0.0015447955],"category_scores_gemma":[0.0037788923,0.00023873671,0.0005447896,0.0006062886,0.0006115361,0.0009256177,0.00041879408,0.00072541897,0.0003997691],"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":[0.0005465972,0.000025622368,0.9926974,0.000020416384,0.00008204883,0.00050708954,0.000034293123,0.00026569123,0.0012148279,0.000043543525,0.00010877948,0.0044536726],"study_design_scores_gemma":[0.00002718532,0.00027554278,0.9901764,0.000023085462,0.0003532251,0.0030726944,0.0003397885,0.003184884,0.001236698,0.00030367804,0.000988395,0.00001831296],"about_ca_topic_score_codex":0.0009143532,"about_ca_topic_score_gemma":0.0018476105,"teacher_disagreement_score":0.0015447955,"about_ca_system_score_codex":0.00027720886,"about_ca_system_score_gemma":0.00030117919,"threshold_uncertainty_score":0.00797987},"labels":[],"label_agreement":null},{"id":"W2529943858","doi":"10.1007/s00259-016-3524-0","title":"Short-term changes in arterial inflammation predict long-term changes in atherosclerosis progression","year":2016,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Population Health Research Institute","funders":"Genentech; Academy of Medical Sciences; British Heart Foundation; F. Hoffmann-La Roche; GlaxoSmithKline; Bristol-Myers Squibb","keywords":"Medicine; Inflammation; Magnetic resonance imaging; Positron emission tomography; Internal medicine; Cardiology; Population; Radiology","score_opus":0.015194321312776872,"score_gpt":0.25883721863704157,"score_spread":0.2436428973242647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529943858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973918,0.0011011418,0.00024215327,0.00007072647,0.000039482737,0.000009271005,0.00027188973,0.000011087964,0.0008624497],"genre_scores_gemma":[0.9986389,0.00023561514,0.00016982137,0.000026337048,0.000059364702,0.00000957062,0.00036135773,0.00000359674,0.0004953038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946266,0.00012677332,0.000079662364,0.00011363789,0.00010014221,0.00011704998],"domain_scores_gemma":[0.9964127,0.00071650726,0.0014579939,0.00027574608,0.0003815642,0.0007555367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096847274,0.0005226336,0.00059286336,0.000845811,0.00044041898,0.0011718002,0.00032337912,0.0011521758,0.0017296622],"category_scores_gemma":[0.002781975,0.00026524672,0.00069817615,0.0009511649,0.00031219763,0.00079551915,0.0005584501,0.0014459408,0.0004714779],"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":[0.00086418417,0.00013955834,0.9955218,0.000016045436,0.00014473361,0.00009900944,0.000050573322,0.00006606555,0.000833033,0.000023237062,0.00005952882,0.0021822313],"study_design_scores_gemma":[0.0000037046598,0.0001786141,0.9991272,0.0000041990866,0.00005156886,0.00013187194,0.000055402714,0.00016135036,0.00013405929,0.00004326383,0.00010364892,0.000005086582],"about_ca_topic_score_codex":0.0011672487,"about_ca_topic_score_gemma":0.0017400003,"teacher_disagreement_score":0.0017296622,"about_ca_system_score_codex":0.00026047634,"about_ca_system_score_gemma":0.0003127619,"threshold_uncertainty_score":0.0057862997},"labels":[],"label_agreement":null},{"id":"W2567705791","doi":"10.1007/s00259-016-3594-z","title":"Local recurrence of prostate cancer after radical prostatectomy is at risk to be missed in 68Ga-PSMA-11-PET of PET/CT and PET/MRI: comparison with mpMRI integrated in simultaneous PET/MRI","year":2016,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Prostate cancer; Positron emission tomography; Nuclear medicine; Prostatectomy; PET-CT; Magnetic resonance imaging; Glutamate carboxypeptidase II; Standardized uptake value; Prostate; Biochemical recurrence; Radiology; Cancer; Internal medicine","score_opus":0.013348245530445575,"score_gpt":0.2882411241791203,"score_spread":0.27489287864867473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567705791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994921,0.0035324208,0.0004519,0.00004995967,0.000016230828,0.000007280082,0.000052462754,0.000024562174,0.000944254],"genre_scores_gemma":[0.99904424,0.00037724964,0.00019725217,0.000013687014,0.00001914765,0.0000020188309,0.00007491462,0.0000069261077,0.00026447466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999567,0.00015527918,0.000027793309,0.00007646087,0.00008892569,0.00008462979],"domain_scores_gemma":[0.9988325,0.000550277,0.0002696315,0.00008435697,0.00011717291,0.00014611053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010035062,0.0004158871,0.0005548624,0.0008363274,0.00019876953,0.0008046914,0.00041933116,0.00059850706,0.001814082],"category_scores_gemma":[0.0028324919,0.00031736444,0.0006290019,0.0003472023,0.0003267381,0.0007407495,0.00045416504,0.00035112616,0.0003780062],"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":[0.011639902,0.00021984245,0.8884262,0.00035983726,0.00037074136,0.0044659125,0.00047151587,0.0011364156,0.02115521,0.00014050594,0.00023464704,0.071379274],"study_design_scores_gemma":[0.00005381109,0.0017227654,0.9807401,0.000032302312,0.00070468563,0.009884079,0.00033448698,0.0023488447,0.0032477877,0.00012555151,0.0007773551,0.00002827986],"about_ca_topic_score_codex":0.0014168008,"about_ca_topic_score_gemma":0.002417926,"teacher_disagreement_score":0.001814082,"about_ca_system_score_codex":0.00029147175,"about_ca_system_score_gemma":0.000249648,"threshold_uncertainty_score":0.006068647},"labels":[],"label_agreement":null},{"id":"W257233715","doi":"10.1007/s00259-007-0660-6","title":"The diagnostic value of 124I-PET in patients with differentiated thyroid cancer","year":2008,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Thyroid Cancer Diagnosis and Treatment","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":"McMaster University Medical Centre","funders":"Universitair Medisch Centrum Groningen","keywords":"Thyroid cancer; Medicine; Value (mathematics); Thyroid; Cancer; Internal medicine; Mathematics; Statistics","score_opus":0.00664359544278448,"score_gpt":0.2209487215586445,"score_spread":0.21430512611586003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W257233715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842644,0.00087064726,0.00013001011,0.00006082287,0.000006901082,0.0000047568196,0.00005124354,0.000007324519,0.00044181163],"genre_scores_gemma":[0.9996012,0.00009558228,0.00014851984,0.00002886174,0.000011563234,0.000003982694,0.00007144759,0.0000013545884,0.000037489757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970657,0.00010364318,0.00003954826,0.00004631564,0.00006078892,0.000043046974],"domain_scores_gemma":[0.9979691,0.0010490465,0.00044247723,0.000088494184,0.00024226801,0.00020865934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017324,0.00027369455,0.00028824675,0.00039152242,0.00025598716,0.000576487,0.00023822123,0.0006577665,0.0008126248],"category_scores_gemma":[0.004062421,0.0001992306,0.00018450816,0.00032632376,0.0003630738,0.00032971363,0.00017746317,0.0003673128,0.00031200337],"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":[0.0004722372,0.000035836907,0.9918859,0.000020823994,0.000012384916,0.0008370872,0.000047961807,0.00010442944,0.002107585,0.000014643784,0.00009076682,0.004370222],"study_design_scores_gemma":[0.00008979671,0.0013015865,0.9706443,0.000024317043,0.0001184669,0.02022249,0.00028653152,0.001590379,0.0043197703,0.00009580028,0.0012845873,0.000021990103],"about_ca_topic_score_codex":0.0006279731,"about_ca_topic_score_gemma":0.0005146357,"teacher_disagreement_score":0.0008126248,"about_ca_system_score_codex":0.0002913584,"about_ca_system_score_gemma":0.00023928887,"threshold_uncertainty_score":0.0031823516},"labels":[],"label_agreement":null},{"id":"W2591118845","doi":"10.1007/s00259-017-3655-y","title":"Molecular imaging of the human pulmonary vascular endothelium in pulmonary hypertension: a phase II safety and proof of principle trial","year":2017,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Armand Frappier Museum; Institut universitaire de cardiologie et de pneumologie de Québec; McGill University; Jewish General Hospital; Université de Montréal; Institut National de la Recherche Scientifique; Montreal Heart Institute","funders":"Québec Consortium for Drug Discovery","keywords":"Medicine; Pulmonary hypertension; Pulmonary embolism; Lung; Internal medicine; Cardiology; Pathology","score_opus":0.026008293971069647,"score_gpt":0.3045892420851154,"score_spread":0.27858094811404577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591118845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676587,0.013571204,0.0077343504,0.0013934296,0.0003432614,0.004777893,0.0013251746,0.00040213083,0.0027937007],"genre_scores_gemma":[0.97796404,0.0068223514,0.0057392926,0.0016039049,0.00034427101,0.003340798,0.0013128341,0.0000742476,0.0027983566],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99960417,0.00021103251,0.000014071577,0.000057621706,0.000056829296,0.000056255078],"domain_scores_gemma":[0.9995739,0.00010155529,0.00011308888,0.0000490806,0.000043691547,0.00011862061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020612932,0.0011984657,0.0009513434,0.00025742163,0.0002595462,0.0012570411,0.00074296404,0.0018505026,0.0027313642],"category_scores_gemma":[0.00080858,0.00031679551,0.0007245084,0.00022208683,0.0007417939,0.0006331218,0.0002151161,0.0022184562,0.0006304285],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.39245445,0.0656013,0.004130012,0.0035565137,0.0021548842,0.0009362556,0.00049450254,0.0030502384,0.24672009,0.0011588125,0.011006215,0.2687367],"study_design_scores_gemma":[0.33527726,0.61064583,0.0072399853,0.00018608668,0.00074065535,0.001005366,0.00009258602,0.0027166363,0.027718946,0.00042621265,0.013898514,0.000051933326],"about_ca_topic_score_codex":0.0003349319,"about_ca_topic_score_gemma":0.0006522736,"teacher_disagreement_score":0.0027313642,"about_ca_system_score_codex":0.0004528672,"about_ca_system_score_gemma":0.00079389894,"threshold_uncertainty_score":0.010901272},"labels":[],"label_agreement":null},{"id":"W2599462151","doi":"10.1007/s00259-017-3688-2","title":"Personalized 177Lu-octreotate peptide receptor radionuclide therapy of neuroendocrine tumours: a simulation study","year":2017,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Québec; Université Laval","funders":"Institute of Cancer Research","keywords":"Radionuclide therapy; Absorbed dose; Dosimetry; Medicine; Nuclear medicine; Renal function; Neuroendocrine tumors; Cumulative dose; Bone marrow; Internal medicine; Urology","score_opus":0.04476264701957088,"score_gpt":0.355159867165206,"score_spread":0.3103972201456351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599462151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614772,0.0010025224,0.018862996,0.0006461275,0.000052346288,0.00011468808,0.00071231794,0.00017226313,0.016959462],"genre_scores_gemma":[0.9932209,0.00036540622,0.0035043887,0.00010494044,0.000008697332,0.00004948958,0.0002294008,0.00004377114,0.002473086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998852,0.000041184452,0.000004722012,0.00001825121,0.000024570041,0.000025976813],"domain_scores_gemma":[0.9991277,0.0006668607,0.000075476884,0.00003376169,0.00005394167,0.000042203123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030269191,0.00052498124,0.00074844615,0.00029988983,0.00024601203,0.0011614314,0.00072503515,0.0016768769,0.0023105359],"category_scores_gemma":[0.0013468221,0.00036695861,0.00074889883,0.00039210965,0.00053557655,0.00044566553,0.0004523219,0.0005413603,0.00024756714],"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":[0.00026028542,0.00014093464,0.0013393912,0.000048142818,0.000032018204,0.0002503408,0.00003746307,0.99354833,0.0015239447,0.00059947144,0.00025887336,0.0019608664],"study_design_scores_gemma":[0.00016673947,0.00034891826,0.0011181267,0.000012537858,0.00005183488,0.00018934552,0.000071513175,0.9946648,0.001877873,0.00067321665,0.00080638856,0.00001874941],"about_ca_topic_score_codex":0.008836811,"about_ca_topic_score_gemma":0.0042213327,"teacher_disagreement_score":0.008836811,"about_ca_system_score_codex":0.00090227637,"about_ca_system_score_gemma":0.00090039393,"threshold_uncertainty_score":0.017570734},"labels":[],"label_agreement":null},{"id":"W2605466291","doi":"10.1007/s00259-017-3695-3","title":"Molecularly targeted therapies in cancer: a guide for the nuclear medicine physician","year":2017,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"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; Princess Margaret Cancer Centre","funders":"Maastricht Universitair Medisch Centrum","keywords":"Medicine; Medical physics; Cancer; Cancer therapy; Cancer imaging; Targeted therapy; Cancer Medicine; Modalities; Molecular imaging; Precision medicine; Intensive care medicine; Internal medicine; Pathology","score_opus":0.057902577110476895,"score_gpt":0.38915121043180084,"score_spread":0.3312486333213239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605466291","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047480964,0.98027533,0.0008953197,0.012193254,0.0031431345,0.000012742198,0.000027017122,0.00004084252,0.0033649513],"genre_scores_gemma":[0.00048796725,0.9839333,0.001583453,0.006461046,0.0029641949,0.000029498717,0.00004245563,0.000012227886,0.0044859946],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942064,0.00014472003,0.000059774153,0.00006288724,0.00027904802,0.000032965654],"domain_scores_gemma":[0.99865735,0.0006576363,0.000102656515,0.000048395086,0.0003761729,0.00015781571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016207164,0.0012368754,0.0013214654,0.0028028202,0.000656969,0.002065465,0.001529524,0.004196607,0.0067946413],"category_scores_gemma":[0.0020797292,0.00043774504,0.0006094661,0.0020188382,0.0018256519,0.004728196,0.0015759224,0.008204283,0.0076493984],"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":[0.00002671546,0.00007443152,0.00015018915,0.0038102707,0.000026336438,0.0003468105,0.0002320849,0.00024019241,0.0008837121,0.01239099,0.44805822,0.53376],"study_design_scores_gemma":[0.0000043732366,0.000022677294,0.000096664175,0.0016144409,0.0000066802677,0.00095160183,0.0000553627,0.000037947342,0.000049547918,0.0037232633,0.99342877,0.0000086685695],"about_ca_topic_score_codex":0.0015218243,"about_ca_topic_score_gemma":0.003700489,"teacher_disagreement_score":0.0067946413,"about_ca_system_score_codex":0.0013019869,"about_ca_system_score_gemma":0.0025992028,"threshold_uncertainty_score":0.02273029},"labels":[],"label_agreement":null},{"id":"W2625583840","doi":"10.1007/s00259-017-3740-2","title":"EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies","year":2017,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":349,"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":"Accreditation; Medicine; Harmonization; Medical physics; Positron emission tomography; Nuclear medicine; Clinical Practice; Family medicine; Medical education","score_opus":0.18046409957013834,"score_gpt":0.46209908636833563,"score_spread":0.2816349867981973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625583840","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08551224,0.21506344,0.5251256,0.0905587,0.0065565775,0.012613784,0.0066260207,0.003426821,0.054516863],"genre_scores_gemma":[0.3860215,0.050379116,0.49901858,0.026332164,0.0025017916,0.016082333,0.01226298,0.0026451566,0.004756399],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.8342933,0.101558045,0.02459675,0.011439445,0.025559817,0.0025527286],"domain_scores_gemma":[0.76238877,0.063860744,0.025524795,0.06199466,0.08164373,0.0045872624],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.32460722,0.00091304595,0.0022141763,0.005809578,0.0009819906,0.010348169,0.007280839,0.0018343192,0.0014058033],"category_scores_gemma":[0.23275337,0.00076800125,0.002093408,0.009709957,0.0036063949,0.005739045,0.011243379,0.0033283134,0.0009084481],"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":[0.00067021436,0.00023362492,0.022628265,0.0074277325,0.0011763274,0.00021234235,0.003989224,0.0069415625,0.0024062516,0.04441827,0.046869986,0.86302614],"study_design_scores_gemma":[0.00045334955,0.0012139768,0.07438003,0.02330336,0.0012330924,0.0008481797,0.0042748307,0.009544562,0.011148262,0.053897657,0.81940055,0.00030217267],"about_ca_topic_score_codex":0.0040796353,"about_ca_topic_score_gemma":0.0025201472,"teacher_disagreement_score":0.32460722,"about_ca_system_score_codex":0.007090951,"about_ca_system_score_gemma":0.020014368,"threshold_uncertainty_score":0.83287954},"labels":[],"label_agreement":null},{"id":"W2758777848","doi":"10.1007/s00259-017-3829-7","title":"Validation of the mIBG skeletal SIOPEN scoring method in two independent high-risk neuroblastoma populations: the SIOPEN/HR-NBL1 and COG-A3973 trials","year":2017,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital","funders":"National Cancer Institute; Children's Neuroblastoma Cancer Foundation; Cancer Research UK; Alex's Lemonade Stand Foundation for Childhood Cancer; Cancer Research Institute","keywords":"Cog; Neuroblastoma; Medicine; Oncology; Internal medicine; Clinical trial; Computer science; Biology; Artificial intelligence; Genetics","score_opus":0.05543207068529071,"score_gpt":0.38525228222655217,"score_spread":0.32982021154126145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758777848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98365086,0.0033091784,0.002790002,0.00060005795,0.00015871268,0.0009472617,0.0038889116,0.00009307583,0.004561928],"genre_scores_gemma":[0.9796082,0.0010808042,0.0041669346,0.0005177599,0.00011734496,0.0010614906,0.01155727,0.00014239203,0.0017478038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99594516,0.0022411668,0.000328636,0.00069347315,0.0005737206,0.00021791269],"domain_scores_gemma":[0.9966072,0.001067035,0.0006062905,0.0005784367,0.00076083286,0.00038029478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011453853,0.0017346267,0.0019656592,0.0005887339,0.0007136515,0.001620474,0.0012248439,0.001333478,0.0020023705],"category_scores_gemma":[0.007993907,0.0004719509,0.0016247041,0.0007823693,0.0010411559,0.0010754464,0.0013242421,0.0016759776,0.0010290826],"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":[0.24358524,0.0033162967,0.51559246,0.0012198526,0.016047664,0.0005537899,0.0012364261,0.0073019965,0.040585358,0.0013665323,0.010706444,0.15848798],"study_design_scores_gemma":[0.041599475,0.024661053,0.8595258,0.00022336154,0.013759666,0.0014665244,0.0005877961,0.00774257,0.014587689,0.0020302262,0.033563986,0.00025194412],"about_ca_topic_score_codex":0.0038737531,"about_ca_topic_score_gemma":0.009706116,"teacher_disagreement_score":0.011453853,"about_ca_system_score_codex":0.0009894964,"about_ca_system_score_gemma":0.0014586957,"threshold_uncertainty_score":0.060574472},"labels":[],"label_agreement":null},{"id":"W2769337909","doi":"10.1007/s00259-017-3878-y","title":"Prognostic value of vasodilator response using rubidium-82 positron emission tomography myocardial perfusion imaging in patients with coronary artery disease","year":2017,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Myocardial perfusion imaging; Cardiology; SSS*; Internal medicine; Coronary artery disease; Interquartile range; Cardiac PET; Positron emission tomography; Coronary vasodilator; Perfusion; Hemodynamics; Nuclear medicine; Vasodilation","score_opus":0.007116038516830552,"score_gpt":0.23859278549111895,"score_spread":0.2314767469742884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769337909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811816,0.00071003305,0.00008628811,0.0001346987,0.00002335232,0.0000045955785,0.000092768765,0.0000054166553,0.00082470005],"genre_scores_gemma":[0.9994042,0.00013805051,0.000042517266,0.000043142518,0.00006188202,0.000004290264,0.00015955129,0.000002052618,0.00014439163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974185,0.000084053274,0.000027321043,0.00004937798,0.000035947032,0.00006138132],"domain_scores_gemma":[0.998346,0.0007690491,0.0002927484,0.000085554355,0.00010233004,0.00040428227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005388604,0.0003929656,0.0005495661,0.0005838859,0.0002860051,0.0006459401,0.0004075333,0.0011640792,0.0015988332],"category_scores_gemma":[0.0021125125,0.00018991469,0.0005168319,0.00046935596,0.00040517902,0.00045462546,0.00029666306,0.001057689,0.00033712777],"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":[0.0008423148,0.0000808562,0.99582976,0.000011938432,0.000085292675,0.00026621332,0.0000343807,0.00010727858,0.0009679607,0.000024647405,0.000061858416,0.0016874128],"study_design_scores_gemma":[0.000024973577,0.00023284185,0.9982691,0.00000553532,0.00009786544,0.00042203127,0.0000930489,0.00048269768,0.00017331974,0.00006331462,0.00012699755,0.000008221522],"about_ca_topic_score_codex":0.0006520937,"about_ca_topic_score_gemma":0.0007875894,"teacher_disagreement_score":0.0015988332,"about_ca_system_score_codex":0.00021570515,"about_ca_system_score_gemma":0.00020782641,"threshold_uncertainty_score":0.005348623},"labels":[],"label_agreement":null},{"id":"W2791819857","doi":"10.1007/s00259-018-3933-3","title":"Amyloid and tau signatures of brain metabolic decline in preclinical Alzheimer’s disease","year":2018,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","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":"McGill University Health Centre; Concordia University; Montreal Neurological Institute and Hospital; McGill University; Douglas Mental Health University Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Institute of Aging; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Consortium canadien en neurodégénérescence associée au vieillissement; Alzheimer's Association","keywords":"Biomarker; Neurodegeneration; Positron emission tomography; Standardized uptake value; Medicine; Oncology; Alzheimer's disease; Fluorodeoxyglucose; Disease; Internal medicine; Voxel; Pittsburgh compound B; Pathology; Neuroscience; Nuclear medicine; Psychology; Biology; Radiology","score_opus":0.028964566893701783,"score_gpt":0.3509814132434574,"score_spread":0.3220168463497556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791819857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940944,0.00010616673,0.00035299922,0.000006408806,6.876841e-7,0.000004462281,0.000029142997,0.000004036698,0.00008662415],"genre_scores_gemma":[0.9995703,0.000037353413,0.00028981283,0.000005373746,0.0000012864524,0.0000059340923,0.00005618476,0.0000011068083,0.00003250109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997936,0.00009241394,0.00001488196,0.000041455678,0.000036050376,0.00002169283],"domain_scores_gemma":[0.99942964,0.00019957949,0.00019143942,0.000060961545,0.00006360659,0.000054742177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010977816,0.00036703594,0.00048012307,0.00057287165,0.00013269518,0.0003790254,0.00019886318,0.00037133126,0.00034355474],"category_scores_gemma":[0.0017535449,0.00020866471,0.000307117,0.00025048846,0.0002702701,0.00029700436,0.000250758,0.00022863678,0.000068815745],"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":[0.01582535,0.0008368199,0.8283444,0.000172762,0.0006005057,0.0006920319,0.0005828533,0.010847575,0.10434951,0.00039195194,0.00017476079,0.037181392],"study_design_scores_gemma":[0.00012008124,0.002951415,0.9763665,0.000007403344,0.0001525328,0.0007130096,0.00011332119,0.010464334,0.007970333,0.00090086454,0.00022360013,0.000016525642],"about_ca_topic_score_codex":0.00076771,"about_ca_topic_score_gemma":0.00085332536,"teacher_disagreement_score":0.0010977816,"about_ca_system_score_codex":0.00018547529,"about_ca_system_score_gemma":0.00016841877,"threshold_uncertainty_score":0.005805731},"labels":[],"label_agreement":null},{"id":"W2793945085","doi":"10.1007/s00259-018-3951-1","title":"Automated SPECT analysis compared with expert visual scoring for the detection of FFR-defined coronary artery disease","year":2018,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"Vanderbilt University Medical Center","keywords":"SSS*; Medicine; Coronary artery disease; Myocardial perfusion imaging; Perfusion; Radiology; Correction for attenuation; Nuclear medicine; CAD; Single-photon emission computed tomography; Emission computed tomography; Cardiology; Internal medicine; Positron emission tomography","score_opus":0.014359865540605048,"score_gpt":0.27910430643711037,"score_spread":0.26474444089650534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793945085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839181,0.0016417033,0.011466884,0.000048179965,0.00005199183,0.00007351789,0.00016707552,0.00027579215,0.0023567784],"genre_scores_gemma":[0.994408,0.00015215752,0.0048339325,0.00004038407,0.00003926586,0.000030714786,0.00017374316,0.000021737673,0.00030007504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971414,0.0016092844,0.00014628663,0.0003837774,0.0006176503,0.0001014857],"domain_scores_gemma":[0.9933295,0.0039031084,0.00086800294,0.0005182548,0.0011605225,0.00022059001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033015923,0.0006710341,0.0005289952,0.0016863894,0.000140695,0.0006734462,0.00044241035,0.00057924003,0.0018663673],"category_scores_gemma":[0.008541543,0.00022481664,0.00039934175,0.00039360166,0.00033571207,0.0005413549,0.00047356597,0.00024890766,0.00049034227],"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":[0.015165966,0.0009233764,0.628038,0.00055715354,0.0012750691,0.0004748597,0.00027934802,0.004793131,0.0747389,0.00031909818,0.0012684892,0.27216667],"study_design_scores_gemma":[0.0005961768,0.006603086,0.866834,0.00012558191,0.00080602115,0.004069696,0.0001587657,0.09243464,0.02631668,0.0005182475,0.0014426276,0.00009451698],"about_ca_topic_score_codex":0.0004659367,"about_ca_topic_score_gemma":0.0007917367,"teacher_disagreement_score":0.0033015923,"about_ca_system_score_codex":0.00020496898,"about_ca_system_score_gemma":0.00019367559,"threshold_uncertainty_score":0.017460704},"labels":[],"label_agreement":null},{"id":"W2810818134","doi":"10.1007/s00259-018-4070-8","title":"Guidelines on nuclear medicine imaging in neuroblastoma","year":2018,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":160,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital","funders":"","keywords":"Medicine; Neuroblastoma; Nuclear medicine imaging; Medical physics; Nuclear medicine; Clinical Practice; Radiology; Family medicine","score_opus":0.03276467106406806,"score_gpt":0.33070289535732617,"score_spread":0.2979382242932581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810818134","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003433323,0.577486,0.02092505,0.27817988,0.017049992,0.0009201584,0.0025119674,0.0009547897,0.09853886],"genre_scores_gemma":[0.046606686,0.5342453,0.110405035,0.24012338,0.022724811,0.0038089973,0.009471318,0.00059983425,0.032014616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906551,0.0032616658,0.0034926555,0.00037809848,0.00168584,0.0005266672],"domain_scores_gemma":[0.9742129,0.012941589,0.0029632633,0.0006997511,0.007916484,0.0012660214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008671041,0.0013184061,0.0022268412,0.0046843383,0.0018598099,0.0027557544,0.0037441168,0.011756041,0.0047651394],"category_scores_gemma":[0.026365671,0.0010519446,0.003361091,0.00293674,0.0026597942,0.0019686953,0.0028274353,0.012630799,0.0036894316],"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":[0.00024142036,0.00023920283,0.0031286078,0.009310292,0.0002510195,0.002518189,0.0007325462,0.0022675872,0.0029724718,0.018878426,0.66040206,0.2990582],"study_design_scores_gemma":[0.00013606885,0.000106791784,0.005118332,0.02200204,0.00037943607,0.0049370937,0.00025085724,0.00042947833,0.0009065225,0.010803398,0.95483845,0.00009164306],"about_ca_topic_score_codex":0.01621392,"about_ca_topic_score_gemma":0.024197076,"teacher_disagreement_score":0.01621392,"about_ca_system_score_codex":0.004156775,"about_ca_system_score_gemma":0.011063116,"threshold_uncertainty_score":0.04585743},"labels":[],"label_agreement":null},{"id":"W2887607716","doi":"10.1007/s00259-018-4104-2","title":"Disease-related patterns of in vivo pathology in Corticobasal syndrome","year":2018,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":31,"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 Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Avid Radiopharmaceuticals; Genentech; National Institutes of Health; IXICO; H. Lundbeck A/S; Servier; Edmond J. Safra Philanthropic Foundation; University of Southern California; University College London; National Institute on Aging; National Institute for Health and Care Research; Novartis Pharmaceuticals Corporation; Koning Boudewijnstichting; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Eisai; Parkinson's UK; CHDI Foundation; U.S. Department of Defense; Eli Lilly and Company; Multiple System Atrophy Trust; Bristol-Myers Squibb; Multiple System Atrophy Coalition; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research; Foundation for the National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Corticobasal degeneration; Disease; Pathology; Medicine; Progressive supranuclear palsy; In vivo; Biology","score_opus":0.010393045849929335,"score_gpt":0.2773054474103303,"score_spread":0.26691240156040097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887607716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99973243,0.000089354624,0.00004777784,0.0000046284713,0.0000010389315,0.0000028608558,0.000029697921,0.0000028034733,0.00008932471],"genre_scores_gemma":[0.9996877,0.00006281214,0.00008078594,0.000006700721,0.0000020309058,0.0000037506643,0.0000729004,0.0000023291536,0.00008105905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998543,0.000023212999,0.000020643785,0.00004900928,0.000026686448,0.000026113614],"domain_scores_gemma":[0.99963295,0.0000689134,0.00013414647,0.0000233215,0.000042126365,0.000098384204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022657865,0.0007146209,0.0004534856,0.0013618383,0.00047576518,0.00046866346,0.00018426131,0.0005244486,0.0015179117],"category_scores_gemma":[0.0006922342,0.0002797812,0.00022469943,0.00048370677,0.0005183551,0.00022047662,0.000359369,0.0002936199,0.00019263261],"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":[0.0021425756,0.00018048215,0.88601863,0.00011522438,0.00024358202,0.017060319,0.0013724205,0.0002670983,0.086268455,0.000064193395,0.00008282839,0.0061842855],"study_design_scores_gemma":[0.000026633243,0.0005655981,0.9868687,0.00000453522,0.000046378947,0.0101716835,0.00024399179,0.00015129133,0.0017652082,0.000037414036,0.000110154884,0.000008470288],"about_ca_topic_score_codex":0.0035219053,"about_ca_topic_score_gemma":0.0034965351,"teacher_disagreement_score":0.0035219053,"about_ca_system_score_codex":0.0002924683,"about_ca_system_score_gemma":0.00016907671,"threshold_uncertainty_score":0.0070028305},"labels":[],"label_agreement":null},{"id":"W2892892233","doi":"10.1007/s00259-018-4153-6","title":"Dynamic whole-body PET imaging: principles, potentials and applications","year":2018,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":283,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Siemens USA","keywords":"Positron emission tomography; Magnetic resonance imaging; Nuclear medicine; Standardized uptake value; Whole body imaging; Computer science; Dynamic imaging; Medical physics; Medicine; Artificial intelligence; Radiology; Image processing; Image (mathematics); Digital image processing","score_opus":0.03141997357281792,"score_gpt":0.33971861069253045,"score_spread":0.3082986371197125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892892233","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015879213,0.9982114,0.00052806904,0.00028561466,0.00008102145,0.0000043369164,0.000011876926,0.000008184655,0.0007107454],"genre_scores_gemma":[0.0018672273,0.99609166,0.0010415456,0.00029196232,0.00021704413,0.000011390219,0.000022567372,0.0000033575727,0.00045316777],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972564,0.000053133514,0.0000314709,0.00005714028,0.000102121034,0.000030448293],"domain_scores_gemma":[0.9991918,0.00052359037,0.00008935059,0.000021503738,0.00013666203,0.00003717717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011359346,0.0010386108,0.0015388818,0.0026123433,0.0002903698,0.001920702,0.0013183759,0.0017754134,0.0020170894],"category_scores_gemma":[0.0012321045,0.00046262695,0.0005864607,0.0024953578,0.0012895002,0.0023302864,0.0009016181,0.0022070273,0.0011011945],"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":[0.00008515561,0.00009316914,0.00041134347,0.01130533,0.0000787451,0.00027168987,0.000080617094,0.00066909334,0.003308445,0.007196698,0.01021369,0.966286],"study_design_scores_gemma":[0.000024961175,0.00019146036,0.0016394575,0.0044283955,0.00019521367,0.0061888834,0.00016497189,0.0008631206,0.003594925,0.010493974,0.9721256,0.000088993445],"about_ca_topic_score_codex":0.0011891592,"about_ca_topic_score_gemma":0.002062614,"teacher_disagreement_score":0.0026123433,"about_ca_system_score_codex":0.00079892704,"about_ca_system_score_gemma":0.0014187531,"threshold_uncertainty_score":0.006747782},"labels":[],"label_agreement":null},{"id":"W2895608724","doi":"10.1007/s00259-018-4171-4","title":"FDG PET/CT for assessing tumour response to immunotherapy","year":2018,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":261,"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 of Toronto","funders":"National Health and Medical Research Council; Medical Research Council; Associazione Italiana per la Ricerca sul Cancro","keywords":"Medicine; Immunotherapy; Timeline; Medical physics; Positron emission tomography; Immune system; Oncology; Nuclear medicine; Immunology","score_opus":0.038631461432770464,"score_gpt":0.3584516726275386,"score_spread":0.3198202111947681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895608724","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002473608,0.9968913,0.00053614937,0.00031018863,0.00020415004,0.000009135602,0.000024547808,0.000011881665,0.0017653187],"genre_scores_gemma":[0.0054221395,0.99134254,0.0013988457,0.00047701428,0.00046406224,0.000016853806,0.00008441309,0.0000071457075,0.00078689726],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995529,0.00012325584,0.000073087285,0.000094525254,0.00012339556,0.00003275293],"domain_scores_gemma":[0.99920887,0.00046499635,0.00010022932,0.000033169905,0.00016523131,0.000027554364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010035177,0.0010906055,0.00133801,0.0052093086,0.00024392562,0.0011227214,0.0010529908,0.0016222054,0.0022695162],"category_scores_gemma":[0.0020789346,0.0003771621,0.00074817444,0.0028028092,0.00074185437,0.0012799918,0.00062502763,0.0018409053,0.0017379227],"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":[0.00010619427,0.00005176724,0.002939561,0.01176369,0.00023512261,0.0023156814,0.00010893562,0.00059134234,0.0033978082,0.0030931982,0.024569692,0.95082706],"study_design_scores_gemma":[0.000034535515,0.000182818,0.010289836,0.017694036,0.00071638153,0.0651392,0.00033545672,0.00069193257,0.0036774033,0.005234288,0.89590544,0.0000985932],"about_ca_topic_score_codex":0.001521126,"about_ca_topic_score_gemma":0.002158268,"teacher_disagreement_score":0.0052093086,"about_ca_system_score_codex":0.0006852239,"about_ca_system_score_gemma":0.0007103677,"threshold_uncertainty_score":0.007592261},"labels":[],"label_agreement":null},{"id":"W2897842442","doi":"10.1007/s00259-018-4194-x","title":"Effect of blood glucose level on standardized uptake value (SUV) in 18F- FDG PET-scan: a systematic review and meta-analysis of 20,807 individual SUV measurements","year":2018,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Standardized uptake value; Nuclear medicine; Analysis of variance; Meta-analysis; Positron emission tomography; Body mass index; Strictly standardized mean difference; Internal medicine","score_opus":0.11932636343272364,"score_gpt":0.3835884751762294,"score_spread":0.2642621117435058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897842442","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009087641,0.9898421,0.00027780427,0.0000995131,0.000112244896,0.00006532617,0.00033846783,0.000020225836,0.00015655012],"genre_scores_gemma":[0.335643,0.65918046,0.001983587,0.0012927811,0.00025959863,0.0003062484,0.00076510647,0.000058281243,0.0005109697],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9962565,0.0013862193,0.0010745904,0.0006940029,0.00042090894,0.00016783942],"domain_scores_gemma":[0.9917251,0.006126799,0.001368072,0.00026948444,0.00040408212,0.00010645379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050004125,0.0026754034,0.012545872,0.0029411945,0.00051384553,0.0023310902,0.0017369607,0.0022805636,0.0032115453],"category_scores_gemma":[0.014969146,0.0016820848,0.027215613,0.0042946977,0.0008915497,0.0016336069,0.0013891892,0.0018568786,0.00031914032],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037820742,0.000044187942,0.010215209,0.2197556,0.75179714,0.00019181594,0.00010999463,0.00037444246,0.00044119323,0.00009483189,0.00062014296,0.01257339],"study_design_scores_gemma":[0.0007188658,0.00018003439,0.0056620846,0.0060930355,0.9858602,0.0000964049,0.00004267091,0.00008295023,0.0000966354,0.00010087617,0.0010391325,0.0000270542],"about_ca_topic_score_codex":0.0078412965,"about_ca_topic_score_gemma":0.020733198,"teacher_disagreement_score":0.012545872,"about_ca_system_score_codex":0.0014030394,"about_ca_system_score_gemma":0.0019098024,"threshold_uncertainty_score":0.026445031},"labels":[],"label_agreement":null},{"id":"W2902656640","doi":"10.1007/s00259-018-4209-7","title":"Personalized 177Lu-octreotate peptide receptor radionuclide therapy of neuroendocrine tumours: initial results from the P-PRRT trial","year":2018,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Québec; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"Radionuclide therapy; Medicine; Neuroendocrine tumors; Nuclear medicine; Renal function; Peptide receptor; Internal medicine; Receptor","score_opus":0.03616051517727272,"score_gpt":0.32818464186622043,"score_spread":0.2920241266889477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902656640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985402,0.006174143,0.0012971683,0.0008072634,0.00010802939,0.0003173931,0.0012428884,0.00009618931,0.0045548463],"genre_scores_gemma":[0.98856956,0.003383865,0.0018146966,0.0012333818,0.00010465978,0.0003307059,0.0024687734,0.000080266866,0.0020141683],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9995597,0.00017673241,0.000020292144,0.00009316759,0.000051666313,0.00009841998],"domain_scores_gemma":[0.999688,0.00009870146,0.000053703803,0.000057845187,0.000014621147,0.00008703638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008768652,0.0007298924,0.0013295518,0.0001387086,0.00021798645,0.001090792,0.00045741117,0.0006930769,0.0021655075],"category_scores_gemma":[0.000768751,0.00019753297,0.0010585231,0.0003310595,0.0006131869,0.00090326177,0.0004579869,0.0020250962,0.0004921765],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.40859,0.00937262,0.011992858,0.0013218514,0.0051628156,0.00056293694,0.00050418195,0.017989498,0.032040738,0.0019775322,0.007839572,0.5026455],"study_design_scores_gemma":[0.4261109,0.33570197,0.14871697,0.0004216353,0.0075751734,0.0032169088,0.00044044675,0.009511763,0.01652337,0.0076904665,0.043859858,0.00023052584],"about_ca_topic_score_codex":0.0006341064,"about_ca_topic_score_gemma":0.0014901565,"teacher_disagreement_score":0.0021655075,"about_ca_system_score_codex":0.0010695201,"about_ca_system_score_gemma":0.000603324,"threshold_uncertainty_score":0.0077599287},"labels":[],"label_agreement":null},{"id":"W2903595815","doi":"10.1007/s00259-018-4231-9","title":"External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy","year":2018,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Radiomics; Magnetic resonance imaging; Cervical cancer; Positron emission tomography; Chemoradiotherapy; Nuclear medicine; Cohort; Radiology; Cancer; Internal medicine","score_opus":0.019018063626702542,"score_gpt":0.27446903065928413,"score_spread":0.2554509670325816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903595815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989248,0.00042960432,0.007260114,0.00022892923,0.00007804979,0.00007923225,0.0016334893,0.00020362494,0.000838915],"genre_scores_gemma":[0.99550724,0.000057001664,0.0014143633,0.00004096844,0.000029785766,0.000037920556,0.002618333,0.000017361132,0.00027711978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981065,0.0010352423,0.00010379415,0.00043270216,0.00017594494,0.00014580658],"domain_scores_gemma":[0.99344784,0.0043709506,0.00045879683,0.0006328797,0.0008062401,0.00028331147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007688051,0.0012604306,0.0013064743,0.0014361085,0.00043474877,0.0016446686,0.0014134127,0.0013487764,0.0014571651],"category_scores_gemma":[0.010383957,0.0004289737,0.0014969107,0.0007170027,0.00057342777,0.0005597341,0.001015479,0.0010532978,0.000786031],"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":[0.0083432505,0.0020510931,0.67925376,0.0002315433,0.0034478887,0.0004678963,0.00020800249,0.23567644,0.0056375354,0.0003327794,0.0038249146,0.06052485],"study_design_scores_gemma":[0.0003191656,0.0010026776,0.12818618,0.000057004258,0.00121432,0.0003032462,0.00011607415,0.8641084,0.0029129644,0.0005479383,0.0011813714,0.000050612325],"about_ca_topic_score_codex":0.005865889,"about_ca_topic_score_gemma":0.004227571,"teacher_disagreement_score":0.007688051,"about_ca_system_score_codex":0.00067596557,"about_ca_system_score_gemma":0.0010768827,"threshold_uncertainty_score":0.040658772},"labels":[],"label_agreement":null},{"id":"W2908398769","doi":"10.1007/s00259-018-4237-3","title":"Effect of (Z)-isomer content on [11C]ABP688 binding potential in humans","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Université Laval; University of Ottawa; Montreal Neurological Institute and Hospital; Royal Ottawa Mental Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chemistry; Content (measure theory); Medicine; Internal medicine; Stereochemistry; Mathematics","score_opus":0.015323005163055212,"score_gpt":0.2867496724597975,"score_spread":0.27142666729674225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908398769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741626,0.0008809573,0.00045229367,0.000058669968,0.000017997932,0.000010100354,0.00022976028,0.00001841464,0.0009156214],"genre_scores_gemma":[0.99812275,0.00028004972,0.00019957796,0.000060982882,0.000008896677,0.000011994268,0.00015511487,0.000015800697,0.00114481],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998487,0.0000436694,0.0000070069023,0.000052083513,0.000017883674,0.000030638355],"domain_scores_gemma":[0.9997342,0.00010531599,0.000040791943,0.000043022468,0.00001912602,0.000057626126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024367249,0.00024230097,0.00030049714,0.00020796497,0.00021144077,0.000370121,0.00013570441,0.00042982795,0.0029302181],"category_scores_gemma":[0.00041359494,0.00020021018,0.000182648,0.00016177054,0.0005944757,0.00024069038,0.00012435786,0.0003948859,0.0004836918],"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":[0.18428445,0.0013295083,0.029868063,0.00015578147,0.00035300045,0.0027812438,0.00028123634,0.0006832375,0.74315333,0.0005319945,0.00071243104,0.03586572],"study_design_scores_gemma":[0.0014985448,0.05403381,0.27199578,0.00005173484,0.0011661645,0.0074142544,0.0010458676,0.00394814,0.6462362,0.0014907578,0.010998094,0.0001205125],"about_ca_topic_score_codex":0.0014079958,"about_ca_topic_score_gemma":0.0008736594,"teacher_disagreement_score":0.0029302181,"about_ca_system_score_codex":0.00024963825,"about_ca_system_score_gemma":0.00017406286,"threshold_uncertainty_score":0.00980258},"labels":[],"label_agreement":null},{"id":"W2909561997","doi":"10.1007/s00259-018-4252-4","title":"Sex differences in [11C]ABP688 binding: a positron emission tomography study of mGlu5 receptors","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Montreal Neurological Institute and Hospital; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Université Laval; University of Ottawa; Royal Ottawa Mental Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Binding potential; Positron emission tomography; Medicine; Internal medicine; Prefrontal cortex; Striatum; Endocrinology; Nuclear medicine; Cognition; Psychiatry; Dopamine","score_opus":0.03113270181891553,"score_gpt":0.30696765011890065,"score_spread":0.2758349482999851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909561997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986419,0.0007364952,0.00019814503,0.000022841865,0.00000589046,0.000006106772,0.00007567299,0.000002311406,0.00031076182],"genre_scores_gemma":[0.999255,0.0002380083,0.00010349228,0.000042191314,0.000011355953,0.0000059201657,0.0000691149,0.0000027693195,0.00027218545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991536,0.00001863176,0.000007350926,0.00002991489,0.000014062272,0.00001458315],"domain_scores_gemma":[0.99981385,0.000049711165,0.000069451504,0.000015983125,0.000022679846,0.00002834405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022968053,0.0002470823,0.00026672188,0.00025385004,0.00018377107,0.0002859917,0.00013389016,0.00026652007,0.0013600561],"category_scores_gemma":[0.00061436073,0.00019800098,0.000146316,0.00019931783,0.00020501393,0.00020148462,0.00013726993,0.00013403987,0.0002299119],"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":[0.0024732926,0.00014818896,0.9239083,0.00013681354,0.00030181027,0.002030246,0.001167461,0.000085871754,0.046876866,0.00015559231,0.00022313195,0.022492448],"study_design_scores_gemma":[0.000023365772,0.0003461992,0.9962655,0.000004088124,0.000051748644,0.0019731133,0.0001553565,0.00008283593,0.0007131686,0.000049216043,0.00033156754,0.0000039181627],"about_ca_topic_score_codex":0.0008802468,"about_ca_topic_score_gemma":0.001041385,"teacher_disagreement_score":0.0013600561,"about_ca_system_score_codex":0.00008587011,"about_ca_system_score_gemma":0.000088001645,"threshold_uncertainty_score":0.004549861},"labels":[],"label_agreement":null},{"id":"W2913641616","doi":"10.1007/s00259-019-4269-3","title":"Economic sanctions are against basic human rights on health","year":2019,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Economic Sanctions and International Relations","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sanctions; Economic sanctions; Human rights; Political science; Law and economics; Business; Law; Economics","score_opus":0.028819670768394933,"score_gpt":0.2434249734195628,"score_spread":0.21460530265116787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913641616","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009822628,0.0014625397,0.00013189389,0.97280306,0.0045634876,0.000007810814,0.00005448344,0.000008764548,0.019985696],"genre_scores_gemma":[0.020015452,0.0009376572,0.00013977848,0.94567144,0.014415991,0.0000354363,0.000029024446,0.000025265597,0.018729953],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98453045,0.0054852944,0.0009868224,0.0012214136,0.0040462073,0.0037298594],"domain_scores_gemma":[0.9506526,0.036630426,0.0030678262,0.0015060238,0.0039377506,0.004205378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017922716,0.0008176667,0.001609298,0.0011679099,0.007428573,0.014053633,0.0022006668,0.1264394,0.010516931],"category_scores_gemma":[0.070145935,0.00080876844,0.0012115631,0.0011047771,0.014464267,0.007948707,0.005457134,0.061453447,0.0040350086],"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":[0.00014192334,0.00007059323,0.00093978335,0.000078449906,0.00004143674,0.00095574046,0.0007360924,0.0002099134,0.0002360131,0.23141587,0.75512934,0.010044801],"study_design_scores_gemma":[0.00027827453,0.00006187899,0.003272173,0.0006423263,0.000041769432,0.0007703256,0.0013795717,0.0007301199,0.00033212992,0.19589585,0.79643565,0.00015992463],"about_ca_topic_score_codex":0.018470159,"about_ca_topic_score_gemma":0.024722137,"teacher_disagreement_score":0.1264394,"about_ca_system_score_codex":0.008330231,"about_ca_system_score_gemma":0.0108276885,"threshold_uncertainty_score":0.09478551},"labels":[],"label_agreement":null},{"id":"W2920929820","doi":"10.1007/s00259-019-04302-x","title":"18F-Flurodeoxyglucose positron emission tomography with computed tomography (FDG PET/CT) findings in children with encephalitis and comparison to conventional imaging","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Autoimmune Neurological Disorders and Treatments","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Health Sciences Centre; University of Manitoba; Centre Hospitalier Universitaire Sainte-Justine","funders":"Université de Montréal","keywords":"Positron emission tomography; Positron Emission Tomography-Computed Tomography; Medicine; Nuclear medicine; Tomography; Computed tomography; Brain positron emission tomography; Preclinical imaging; Radiology; Positron emission","score_opus":0.00484239357953235,"score_gpt":0.22337757295635008,"score_spread":0.21853517937681774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920929820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955466,0.0020575162,0.00017546355,0.00008030481,0.0000124985945,0.0000132668765,0.0001670935,0.000011080567,0.0019362081],"genre_scores_gemma":[0.9981816,0.001125281,0.0003079163,0.00003678792,0.000018641502,0.000007073101,0.000120178,0.0000053882954,0.00019707583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963427,0.00005865661,0.000066786124,0.00007203219,0.00005939537,0.0001089542],"domain_scores_gemma":[0.99930036,0.0002156075,0.00017195058,0.00002690016,0.00009553484,0.00018970294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004704897,0.00070563314,0.00044677596,0.002222362,0.00043268426,0.0006161456,0.00034033912,0.00086177804,0.0016203884],"category_scores_gemma":[0.001952242,0.00042863647,0.00051496713,0.0011315574,0.0008045277,0.00082620565,0.00038106533,0.0005912275,0.00037137125],"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":[0.0003564517,0.00010710923,0.92414993,0.00009049027,0.000037063008,0.066308305,0.0003582742,0.00020708157,0.0028105995,0.00006890304,0.0002120587,0.0052937046],"study_design_scores_gemma":[0.000027655993,0.0003432952,0.84739286,0.000067229485,0.00009818291,0.1480712,0.0012624862,0.00040188362,0.001487622,0.00006753214,0.0007608177,0.000019199819],"about_ca_topic_score_codex":0.006399044,"about_ca_topic_score_gemma":0.004508838,"teacher_disagreement_score":0.006399044,"about_ca_system_score_codex":0.0006477121,"about_ca_system_score_gemma":0.00064824725,"threshold_uncertainty_score":0.012723565},"labels":[],"label_agreement":null},{"id":"W2935088913","doi":"10.1007/s00259-019-04316-5","title":"The potential for PET-guided revascularization of coronary artery disease","year":2019,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Montreal Heart Institute","funders":"","keywords":"Medicine; Coronary artery disease; Revascularization; Cardiology; Internal medicine; Radiology; Myocardial infarction","score_opus":0.010827738477378555,"score_gpt":0.24473164774280493,"score_spread":0.23390390926542637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935088913","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00654736,0.0134067675,0.000931454,0.94660306,0.009027966,0.000013821932,0.00005443602,0.000053749307,0.023361322],"genre_scores_gemma":[0.16081317,0.02222334,0.0026396902,0.6284023,0.16801104,0.000082463535,0.00013003423,0.00007181932,0.017626118],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919873,0.00031391965,0.00006898011,0.00009980062,0.00019206587,0.00012658763],"domain_scores_gemma":[0.99542123,0.0035431888,0.00019288369,0.00017743267,0.00027978388,0.0003855362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011504221,0.00049602624,0.0008863021,0.00047711562,0.0011569149,0.0020910357,0.0008786789,0.02258739,0.0059924345],"category_scores_gemma":[0.008363178,0.00031942522,0.0010889678,0.00030947427,0.0023210403,0.0019678578,0.0006639248,0.016399624,0.0032861943],"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":[0.00079467986,0.00026107155,0.009445021,0.0005641273,0.00015736785,0.26873025,0.00052844785,0.00087870145,0.0054659396,0.035618413,0.56014156,0.11741452],"study_design_scores_gemma":[0.00032717994,0.0003816709,0.004644733,0.0008883581,0.00015029951,0.24169718,0.00046009064,0.0022594433,0.0021803332,0.06800716,0.6789077,0.0000958694],"about_ca_topic_score_codex":0.0007134502,"about_ca_topic_score_gemma":0.0014595045,"teacher_disagreement_score":0.02258739,"about_ca_system_score_codex":0.001656563,"about_ca_system_score_gemma":0.0009344504,"threshold_uncertainty_score":0.020046711},"labels":[],"label_agreement":null},{"id":"W2948326621","doi":"10.1007/s00259-019-04367-8","title":"68Ga-PSMA-11 PET/CT in a patient with non-PSA-secreting undifferentiated prostate cancer before and after treatment with cabozantinib","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Cabozantinib; Prostate cancer; Medicine; Cancer; Multiparametric MRI; Oncology; Radiology; Internal medicine","score_opus":0.006830678089880327,"score_gpt":0.2491060068088903,"score_spread":0.24227532871900997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948326621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99231154,0.0022532817,0.00023074746,0.0015727868,0.00007915395,0.000031737745,0.00020131755,0.00002867168,0.0032906153],"genre_scores_gemma":[0.9984092,0.0004483993,0.000092857874,0.00042850323,0.000103350656,0.0000029753053,0.00010029649,0.000007052619,0.00040744798],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9998155,0.000017409364,0.000020594454,0.000046651632,0.000027212693,0.000072686176],"domain_scores_gemma":[0.99955064,0.00014592639,0.000054979653,0.00002185476,0.000032675238,0.00019399775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017562782,0.00075110554,0.0009825923,0.0009090923,0.0009356443,0.00073724764,0.000585723,0.0024550497,0.0014211065],"category_scores_gemma":[0.0010634075,0.0004868423,0.0010764956,0.0006291863,0.00075916946,0.00049808464,0.0002535714,0.0016561521,0.00030856684],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006516305,0.00048012997,0.0816109,0.000069770176,0.00012465451,0.89430827,0.00035221534,0.00059218856,0.008916371,0.00013671638,0.0005995278,0.006292994],"study_design_scores_gemma":[0.00049483724,0.0032156836,0.36720848,0.000049190523,0.00062859687,0.6168922,0.0005465856,0.003537527,0.004850617,0.00034779313,0.0021177072,0.000110782596],"about_ca_topic_score_codex":0.0145305935,"about_ca_topic_score_gemma":0.012207586,"teacher_disagreement_score":0.0145305935,"about_ca_system_score_codex":0.0016362984,"about_ca_system_score_gemma":0.0006612965,"threshold_uncertainty_score":0.02889204},"labels":[],"label_agreement":null},{"id":"W2953216366","doi":"10.1007/s00259-019-04382-9","title":"Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data","year":2019,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Krembil Foundation; University of Toronto; University Health Network","funders":"","keywords":"Computer science; Radiomics; Artificial intelligence; Data science; Domain (mathematical analysis); Machine learning; Quality (philosophy); Data quality; Data mining","score_opus":0.10168172379972272,"score_gpt":0.4105108725437765,"score_spread":0.30882914874405376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953216366","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004781251,0.99720865,0.00050343096,0.0016614182,0.00019007886,0.0000031898528,0.000015434029,0.000007964429,0.00036202415],"genre_scores_gemma":[0.0010301927,0.9953492,0.0012001067,0.0017173415,0.0004640416,0.000009229335,0.000032591248,0.000004596683,0.00019271676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986934,0.000438526,0.0001791965,0.00019212351,0.0004405378,0.000056252353],"domain_scores_gemma":[0.9895527,0.008342111,0.00047857885,0.00019749448,0.0012656901,0.00016356978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043629804,0.0010813819,0.0029029537,0.002931928,0.0003776379,0.0028747867,0.0020327943,0.002939454,0.0023091643],"category_scores_gemma":[0.006383338,0.00051339855,0.0011782629,0.0030605507,0.001994894,0.0043158927,0.0013311413,0.004543458,0.0015566916],"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":[0.00006877035,0.000058017016,0.00033666365,0.02695897,0.0004117622,0.00012912233,0.00013706386,0.0006620853,0.00063999894,0.018872084,0.024780286,0.92694503],"study_design_scores_gemma":[0.00003553179,0.00008933091,0.0017282792,0.027485214,0.00066974614,0.0013221253,0.0002887476,0.0009028019,0.0005700404,0.045045234,0.92176,0.000102987935],"about_ca_topic_score_codex":0.003134599,"about_ca_topic_score_gemma":0.004274649,"teacher_disagreement_score":0.0043629804,"about_ca_system_score_codex":0.001793465,"about_ca_system_score_gemma":0.0030760143,"threshold_uncertainty_score":0.023073971},"labels":[],"label_agreement":null},{"id":"W2954546593","doi":"10.1007/s00259-019-04404-6","title":"Two decades of SPECT/CT – the coming of age of a technology: An updated review of literature evidence","year":2019,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Osteomyelitis and Bone Disorders Research","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":"University of Ottawa","funders":"International Atomic Energy Agency","keywords":"Single-photon emission computed tomography; Emission computed tomography; Medicine; Modality (human–computer interaction); Computed tomography; Nuclear medicine; Medical physics; Tomography; Radiology; Positron emission tomography; Computer science; Artificial intelligence","score_opus":0.056803856668892753,"score_gpt":0.3887982127672899,"score_spread":0.3319943560983971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954546593","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000088600675,0.99921095,0.00003258119,0.0003590621,0.00011934855,0.0000017244819,0.000013477515,0.0000019865236,0.00017230782],"genre_scores_gemma":[0.0007525734,0.9985085,0.000106787695,0.00035612352,0.00017484986,0.0000034894595,0.000021004897,0.0000012312505,0.00007547069],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99914765,0.00018433496,0.00024018367,0.00014620095,0.00023807306,0.00004345522],"domain_scores_gemma":[0.995492,0.0029377164,0.0006646312,0.0000804188,0.0007298752,0.0000953841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954569,0.00080949976,0.0019584936,0.0058093634,0.00034265325,0.0019099404,0.0010809314,0.001446372,0.0036466608],"category_scores_gemma":[0.0044433945,0.0004495532,0.0013258789,0.005507433,0.0008419413,0.0028579335,0.0007289651,0.0017893227,0.0006963514],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018775366,0.000043902925,0.0010125311,0.12155597,0.000550409,0.00070276344,0.0002262479,0.00029745768,0.0009772781,0.0030985058,0.028793782,0.8425534],"study_design_scores_gemma":[0.00004073726,0.00017676046,0.0049985526,0.11572978,0.0023498724,0.008252133,0.0005351422,0.00018714351,0.0005681853,0.0033327355,0.8637546,0.000074440824],"about_ca_topic_score_codex":0.0020956853,"about_ca_topic_score_gemma":0.0035182592,"teacher_disagreement_score":0.0058093634,"about_ca_system_score_codex":0.0012747585,"about_ca_system_score_gemma":0.0033631378,"threshold_uncertainty_score":0.012199342},"labels":[],"label_agreement":null},{"id":"W2955164461","doi":"10.1007/s00259-019-04395-4","title":"EJNMMI supplement: bringing AI and radiomics to nuclear medicine","year":2019,"lang":"en","type":"editorial","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Radiomics; Medicine; Medical physics; Nuclear medicine; Radiology","score_opus":0.006140260064794959,"score_gpt":0.2749790751018757,"score_spread":0.26883881503708074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955164461","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012156798,0.008638159,0.00009188821,0.031002158,0.9589955,0.000008654382,0.000042689295,0.000035757846,0.0011729641],"genre_scores_gemma":[0.00011878116,0.0029731519,0.00006382933,0.012387466,0.9799574,0.000011155737,0.000026207648,0.000027591737,0.0044343853],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99260736,0.0014826435,0.0009552244,0.0007100165,0.0038143278,0.0004303906],"domain_scores_gemma":[0.96145046,0.015576698,0.002834902,0.0010752294,0.01353138,0.0055313585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008441802,0.0038840983,0.0053356104,0.009001931,0.00403947,0.011956337,0.003976447,0.02074232,0.031310834],"category_scores_gemma":[0.03954901,0.0015262308,0.003649909,0.0029944403,0.0030395193,0.0050220503,0.0036972063,0.021921165,0.020435402],"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":[0.000021303373,0.0000062879153,0.000012351701,0.0001496318,0.000013017512,0.000040678504,0.0000060350626,0.000012815522,0.000026084543,0.00015106577,0.9958954,0.003665345],"study_design_scores_gemma":[0.00007437962,0.000022462124,0.0002298365,0.0007794337,0.00007307125,0.0002573892,0.000025365927,0.00014150569,0.000064971275,0.0014082766,0.99690163,0.000021805072],"about_ca_topic_score_codex":0.0031224668,"about_ca_topic_score_gemma":0.011725351,"teacher_disagreement_score":0.031310834,"about_ca_system_score_codex":0.0058980766,"about_ca_system_score_gemma":0.0046884017,"threshold_uncertainty_score":0.10474515},"labels":[],"label_agreement":null},{"id":"W2957094860","doi":"10.1007/s00259-019-04412-6","title":"Inflammatory response to the anti PD-L1 drug, atezolizumab, masquerades as breast implant rupture","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Atezolizumab; Medicine; Breast implant; Drug; Implant; Internal medicine; Dermatology; Pharmacology; Surgery; Pembrolizumab; Cancer; Immunotherapy","score_opus":0.005183033422075557,"score_gpt":0.23499392861244017,"score_spread":0.22981089519036463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957094860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96930516,0.016644377,0.0018519077,0.0028403013,0.00045601063,0.000053325224,0.00015764446,0.00013789535,0.00855352],"genre_scores_gemma":[0.9948238,0.0023480165,0.0005248285,0.0006397416,0.00042643823,0.000009565989,0.00011412433,0.000009660104,0.0011037464],"study_design_codex":"observational","study_design_gemma":"case_report","domain_scores_codex":[0.9996216,0.000107013235,0.00003547291,0.000054045697,0.00010443184,0.00007734205],"domain_scores_gemma":[0.9989851,0.00027734606,0.0004831842,0.00007212745,0.000070312635,0.00011199202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006165736,0.00041909583,0.00045468783,0.000636712,0.0003189207,0.0010707363,0.000251035,0.00095550384,0.0017585409],"category_scores_gemma":[0.0021141716,0.00017795134,0.00043397743,0.0004581408,0.00039518994,0.000565726,0.00035210664,0.000860808,0.000420566],"study_design_candidate":"case_report","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":[0.027628306,0.0014917805,0.3314248,0.0010921768,0.0004745048,0.16062407,0.0012175743,0.00095219305,0.18052484,0.0022202667,0.010142291,0.28220716],"study_design_scores_gemma":[0.0004927712,0.005457756,0.4227139,0.00029743667,0.00077119854,0.46017164,0.002544352,0.004428857,0.061278436,0.002549837,0.0391706,0.0001231274],"about_ca_topic_score_codex":0.0001710353,"about_ca_topic_score_gemma":0.00023808636,"teacher_disagreement_score":0.0017585409,"about_ca_system_score_codex":0.00028687844,"about_ca_system_score_gemma":0.00021013219,"threshold_uncertainty_score":0.005882919},"labels":[],"label_agreement":null},{"id":"W2961905894","doi":"10.1007/s00259-019-04394-5","title":"Connectomics and molecular imaging in neurodegeneration","year":2019,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Centre for Addiction and Mental Health; Ontario Brain Institute; University of Toronto; Krembil Foundation","funders":"Wellcome Trust","keywords":"Connectomics; Neurodegeneration; Neuroscience; Neuropathology; Connectome; Mechanism (biology); Neuroimaging; Disease; Biology; Pathology; Medicine; Functional connectivity","score_opus":0.04358566961832567,"score_gpt":0.3057312311089555,"score_spread":0.26214556149062984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961905894","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000039235056,0.9986438,0.00016902048,0.00026612976,0.00023131238,0.0000029441644,0.00000979067,0.0000061399296,0.00063165295],"genre_scores_gemma":[0.000426882,0.99798113,0.00028745265,0.00030427572,0.00048343433,0.0000069904936,0.000021825352,0.0000023250554,0.0004856443],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996979,0.0000704366,0.000044457327,0.00006109316,0.000094190334,0.000031916745],"domain_scores_gemma":[0.99891365,0.0006378822,0.00011446266,0.000035492238,0.00021744554,0.00008111843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016569779,0.0018159343,0.0021450755,0.0036721183,0.00036038418,0.0018671225,0.0014786947,0.003067058,0.003976968],"category_scores_gemma":[0.0017898431,0.0005232562,0.0006520784,0.0035767981,0.0017252981,0.0025217384,0.0014447477,0.0031017913,0.002739429],"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":[0.00016799287,0.00009545391,0.00024112019,0.013168181,0.00013868939,0.00034106916,0.000076108074,0.0006178595,0.0014640712,0.008844839,0.049074143,0.92577046],"study_design_scores_gemma":[0.000044410204,0.000106366526,0.0008175874,0.0048411335,0.00020088341,0.0015708079,0.00007653633,0.00020931324,0.0005028304,0.007271842,0.98431444,0.00004385549],"about_ca_topic_score_codex":0.0016642847,"about_ca_topic_score_gemma":0.0027315242,"teacher_disagreement_score":0.003976968,"about_ca_system_score_codex":0.001202158,"about_ca_system_score_gemma":0.0018790648,"threshold_uncertainty_score":0.013304293},"labels":[],"label_agreement":null},{"id":"W2964335799","doi":"10.1007/s00259-019-04446-w","title":"Subcortical amyloid relates to cortical morphology in cognitively normal individuals","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Université de Sherbrooke; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Brain morphometry; Default mode network; Neuroscience; Brain size; Cognition; Neuroimaging; Psychology; Effects of sleep deprivation on cognitive performance; Medicine; Magnetic resonance imaging; Radiology","score_opus":0.011740181290591137,"score_gpt":0.28534055493250593,"score_spread":0.2736003736419148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964335799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991621,0.00018327063,0.0000430136,0.00002290788,0.000004108535,0.0000022251334,0.000035948153,0.000004220149,0.0005423388],"genre_scores_gemma":[0.99952674,0.000089554094,0.00005072818,0.000023572444,0.000014510074,0.000002294354,0.000070025184,0.0000034864252,0.0002191329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998097,0.000050114842,0.00002995878,0.00004460917,0.000032414857,0.000033272787],"domain_scores_gemma":[0.99849105,0.0004058252,0.0006177005,0.00011624903,0.00017500413,0.00019421523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042405247,0.0006539458,0.00037354857,0.0016584165,0.00047091214,0.0011759022,0.00033304657,0.0007746432,0.0019122298],"category_scores_gemma":[0.0034917898,0.0003969487,0.0002843124,0.0007569733,0.0005985669,0.00059739174,0.00050083664,0.00051821704,0.00032053137],"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":[0.0018906699,0.00017241831,0.9807494,0.000045845216,0.00024619637,0.0045264717,0.00085859175,0.00014203126,0.0048229303,0.0001708851,0.0001855377,0.0061889007],"study_design_scores_gemma":[0.000009011339,0.000134392,0.9952378,0.000006246784,0.000048912316,0.003727654,0.00022143088,0.000099658246,0.0001977921,0.00023775377,0.00007436008,0.0000049804466],"about_ca_topic_score_codex":0.0025587573,"about_ca_topic_score_gemma":0.0024733818,"teacher_disagreement_score":0.0025587573,"about_ca_system_score_codex":0.000248688,"about_ca_system_score_gemma":0.00018796761,"threshold_uncertainty_score":0.0063970685},"labels":[],"label_agreement":null},{"id":"W2965610831","doi":"10.1007/s00259-019-04448-8","title":"First-in-human 18F-SiFAlin-TATE PET/CT for NET imaging and theranostics","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Positron emission tomography; Nuclear medicine; Medicine; Positron Emission Tomography-Computed Tomography; Medical physics; PET-CT; Radiology","score_opus":0.012863941186623196,"score_gpt":0.2958984387504812,"score_spread":0.283034497563858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965610831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74652743,0.08132217,0.11423406,0.005128779,0.0011897847,0.0007481059,0.0022803617,0.0016399272,0.04692936],"genre_scores_gemma":[0.9495883,0.0092434,0.027586134,0.00053679495,0.000089332905,0.0003862114,0.00089164934,0.00019884897,0.011479371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998235,0.000057911042,0.000006602063,0.00003689689,0.000023214585,0.000051861447],"domain_scores_gemma":[0.9998956,0.00003791022,0.000014382236,0.000019931877,0.00001366238,0.000018483262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005902239,0.0006101723,0.00041306636,0.00053093873,0.0004395451,0.0010275993,0.0007589578,0.0013621963,0.0039977804],"category_scores_gemma":[0.00037234044,0.0003523672,0.0004289886,0.0004004933,0.0004922309,0.0007734538,0.0003690172,0.0010415616,0.0011858664],"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":[0.003662977,0.00042398478,0.0034559383,0.0011398436,0.00019944177,0.003677936,0.00023564123,0.0038720046,0.8869095,0.006191448,0.007286732,0.08294462],"study_design_scores_gemma":[0.00031615887,0.001523508,0.0033835864,0.00016165334,0.0003503163,0.011822725,0.00018575958,0.012831928,0.88608485,0.0013359648,0.081927285,0.00007625644],"about_ca_topic_score_codex":0.001703903,"about_ca_topic_score_gemma":0.0017867603,"teacher_disagreement_score":0.0039977804,"about_ca_system_score_codex":0.0008392344,"about_ca_system_score_gemma":0.00059850817,"threshold_uncertainty_score":0.013373911},"labels":[],"label_agreement":null},{"id":"W2971865138","doi":"10.1007/s00259-019-04499-x","title":"Combination treatments to enhance peptide receptor radionuclide therapy of neuroendocrine tumours","year":2019,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec","funders":"Canadian Institutes of Health Research","keywords":"Radionuclide therapy; Medicine; Neuroendocrine tumors; Peptide receptor; Somatostatin receptor; Radiation therapy; Oncology; Somatostatin; Therapeutic index; Internal medicine; Nuclear medicine; Pharmacology; Receptor; Drug","score_opus":0.039546820107877176,"score_gpt":0.3755459482823382,"score_spread":0.33599912817446104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971865138","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005017048,0.9980572,0.00022655126,0.00009614482,0.00012665206,0.000009971622,0.000015044843,0.000007900745,0.00095883256],"genre_scores_gemma":[0.0034745894,0.9945431,0.0004530038,0.00026504885,0.00016977124,0.000021963024,0.000062310064,0.0000042035335,0.0010060336],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99989533,0.000020488467,0.000011547459,0.000020340814,0.0000382683,0.000013942184],"domain_scores_gemma":[0.999861,0.00008141402,0.000022812745,0.000004561561,0.000020365156,0.000009826799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033281298,0.0006851285,0.0012167332,0.0010292311,0.00013051268,0.00051283464,0.00065732875,0.0006719717,0.0030328396],"category_scores_gemma":[0.00040028355,0.00019930072,0.00045407712,0.00087212573,0.0002864974,0.00055883883,0.00039652718,0.001447018,0.0011462098],"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":[0.00021624929,0.00016828075,0.00014727736,0.009794101,0.0001621541,0.00023802673,0.000031520503,0.0004085147,0.0048744595,0.001301629,0.0109609775,0.9716967],"study_design_scores_gemma":[0.00027090727,0.0008435905,0.0020373631,0.0029767866,0.00054219377,0.0040755267,0.000052663723,0.00034836377,0.0036030265,0.0017576496,0.98344535,0.000046606867],"about_ca_topic_score_codex":0.00048454414,"about_ca_topic_score_gemma":0.0011375665,"teacher_disagreement_score":0.0030328396,"about_ca_system_score_codex":0.00031586725,"about_ca_system_score_gemma":0.00033667026,"threshold_uncertainty_score":0.010145843},"labels":[],"label_agreement":null},{"id":"W2972250765","doi":"10.1007/s00259-019-04501-6","title":"Biodistribution and first clinical results of 18F-SiFAlin-TATE PET: a novel 18F-labeled somatostatin analog for imaging of neuroendocrine tumors","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodistribution; Neuroendocrine tumors; Somatostatin receptor; Somatostatin; Nuclear medicine; Medicine; Spleen; PET-CT; Positron emission tomography; Pathology; In vivo; Internal medicine; Biology","score_opus":0.02371687646015057,"score_gpt":0.3266293212003738,"score_spread":0.3029124447402232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972250765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748735,0.006008541,0.007208778,0.00077101693,0.00015825627,0.00039028007,0.0015342571,0.0003015784,0.008753789],"genre_scores_gemma":[0.9935368,0.0008464727,0.0013505726,0.00031568264,0.000043087242,0.000112398135,0.0012337036,0.00010163685,0.0024595743],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971586,0.00009074345,0.00001881598,0.000058829915,0.000039209957,0.000076499105],"domain_scores_gemma":[0.99967563,0.00012901302,0.000030287689,0.000050520543,0.000050001956,0.00006447794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090974837,0.0007547421,0.0008473905,0.00029285444,0.0005077728,0.0008454819,0.00042425908,0.0016906615,0.0016219505],"category_scores_gemma":[0.0009617323,0.00038783034,0.00046275285,0.00026708934,0.0011083516,0.00076421007,0.00022574239,0.0014900806,0.0012129166],"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":[0.085924864,0.021907344,0.02782125,0.00051174336,0.0005679331,0.015451585,0.0015948688,0.0077266376,0.72465503,0.0011401112,0.008725885,0.10397284],"study_design_scores_gemma":[0.008208512,0.15414289,0.08144495,0.00007963697,0.0013530173,0.029522011,0.0005635828,0.010713393,0.6802274,0.0011949409,0.03227488,0.0002747959],"about_ca_topic_score_codex":0.0019043891,"about_ca_topic_score_gemma":0.0010130241,"teacher_disagreement_score":0.0019043891,"about_ca_system_score_codex":0.000642174,"about_ca_system_score_gemma":0.00034553526,"threshold_uncertainty_score":0.0054259896},"labels":[],"label_agreement":null},{"id":"W2993944963","doi":"10.1007/s00259-019-04629-5","title":"Reliable quantification of myocardial sympathetic innervation and regional denervation using [11C]meta-hydroxyephedrine PET","year":2019,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Toronto; University of Calgary; University of Alberta; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Sympathetic Denervation; Medicine; Denervation; Sympathetic nervous system; Sympathetic activity; Sympathetic innervation; Internal medicine; Cardiology; Nuclear medicine; Blood pressure; Heart rate","score_opus":0.0334815085820002,"score_gpt":0.26819708855998203,"score_spread":0.23471557997798184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993944963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7454419,0.017043918,0.22761635,0.00025759285,0.00015536859,0.000271709,0.0008711611,0.00052159047,0.007820393],"genre_scores_gemma":[0.93740255,0.003092661,0.054708347,0.00015824588,0.000060113045,0.0002634647,0.00053519313,0.00018510135,0.0035943987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992453,0.00021488128,0.000047350593,0.0002341101,0.00017932596,0.00007909022],"domain_scores_gemma":[0.9992593,0.00029624382,0.000107248314,0.00016741305,0.0001264223,0.000043451455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016620205,0.0008299849,0.00075447647,0.0005322303,0.00037577716,0.0011408775,0.0005958572,0.0011728437,0.0010594295],"category_scores_gemma":[0.0016536171,0.00065537397,0.00027999197,0.00034242807,0.00091492577,0.00097432325,0.00044618177,0.00083470764,0.0003733117],"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":[0.001157642,0.000062056424,0.010110806,0.0002649338,0.00019449077,0.00030974462,0.00019750306,0.00077879964,0.9555664,0.0005851273,0.00021124641,0.030561171],"study_design_scores_gemma":[0.00009371692,0.0008337331,0.12128609,0.00011858819,0.00069711084,0.003273173,0.00031193512,0.020579996,0.8478643,0.0009911907,0.0038873323,0.000062876396],"about_ca_topic_score_codex":0.0013633182,"about_ca_topic_score_gemma":0.0027077443,"teacher_disagreement_score":0.0016620205,"about_ca_system_score_codex":0.00025083977,"about_ca_system_score_gemma":0.0004242053,"threshold_uncertainty_score":0.008789659},"labels":[],"label_agreement":null},{"id":"W3015801772","doi":"10.1007/s00259-020-04793-z","title":"Radioaerosols and the updated EANM guideline in ventilation/perfusion imaging","year":2020,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Medicine; Guideline; Medical physics; Appropriateness criteria; Myocardial perfusion imaging; Nuclear medicine; Radiology; Perfusion; Cardiology; Pathology","score_opus":0.019940134968515117,"score_gpt":0.2923436795714628,"score_spread":0.2724035446029477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015801772","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002814613,0.0062252847,0.0003397527,0.97045857,0.015766485,0.000018927269,0.00008050041,0.000030415165,0.0067985123],"genre_scores_gemma":[0.0033444667,0.0048971805,0.0010711456,0.9389447,0.044212457,0.000079906735,0.00012526612,0.000038215665,0.007286674],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99138325,0.0026189766,0.0017392139,0.000613285,0.002747525,0.00089781854],"domain_scores_gemma":[0.98725975,0.006981767,0.0008726484,0.0004053516,0.0029848872,0.0014956167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006776311,0.0009124033,0.0016606555,0.0011848283,0.0024013505,0.004820995,0.0023883304,0.06442857,0.003129351],"category_scores_gemma":[0.031307682,0.00081169925,0.0019617185,0.001098863,0.0035653422,0.0032395225,0.0019151835,0.045969035,0.0039068046],"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":[0.000053158106,0.00004267856,0.00045198546,0.0001285523,0.000014559474,0.0031551446,0.00011975698,0.0002050676,0.00028314043,0.0072279098,0.96961737,0.018700715],"study_design_scores_gemma":[0.00006093783,0.000032226995,0.0009271728,0.000738689,0.000030353125,0.0030573746,0.0000859771,0.0002865294,0.00019398349,0.0071153375,0.98743176,0.000039662],"about_ca_topic_score_codex":0.0129294265,"about_ca_topic_score_gemma":0.029394718,"teacher_disagreement_score":0.06442857,"about_ca_system_score_codex":0.007865829,"about_ca_system_score_gemma":0.008671136,"threshold_uncertainty_score":0.05707085},"labels":[],"label_agreement":null},{"id":"W3016809691","doi":"10.1007/s00259-020-04814-x","title":"Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s dementia","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; National Key Research and Development Program of China; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; National Natural Science Foundation of China; Eisai; Genentech; IXICO; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Foundation for the National Institutes of Health; Science and Technology Commission of Shanghai Municipality; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association","keywords":"Connectome; Divergence (linguistics); Dementia; Similarity (geometry); Internal medicine; Medicine; Psychology; Statistics; Mathematics; Neuroscience; Artificial intelligence; Computer science; Disease","score_opus":0.052897639985424946,"score_gpt":0.29739216776369437,"score_spread":0.2444945277782694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016809691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928243,0.00017564384,0.0060375156,0.000042602194,0.000004950264,0.000020080124,0.00037079267,0.000033618773,0.0004903997],"genre_scores_gemma":[0.99822,0.00003478152,0.001280411,0.000005842129,0.000005190674,0.000014964511,0.00034260855,0.0000025488757,0.00009353043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996468,0.00009132187,0.000043197044,0.000120462355,0.000070576614,0.000027708375],"domain_scores_gemma":[0.9985393,0.0005164176,0.00047604938,0.0001402518,0.0001859616,0.00014208976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010926068,0.0003933301,0.0003898093,0.0021851114,0.00027021728,0.0005548084,0.0003131853,0.0004338802,0.0009872904],"category_scores_gemma":[0.004000056,0.000111762376,0.00044372134,0.00075829274,0.00036120228,0.00052880414,0.0005673314,0.0003035554,0.00014442255],"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":[0.00045342333,0.000088336354,0.9636529,0.000045628472,0.00042360462,0.00016946683,0.00013771368,0.009646771,0.0026061449,0.00037344778,0.00043872755,0.021963801],"study_design_scores_gemma":[0.000025175526,0.00024353359,0.8707358,0.00001799732,0.0001372874,0.0007250064,0.00013390432,0.123085216,0.0015557962,0.002943264,0.00036130764,0.00003557395],"about_ca_topic_score_codex":0.0017454795,"about_ca_topic_score_gemma":0.0027563756,"teacher_disagreement_score":0.0021851114,"about_ca_system_score_codex":0.00035445325,"about_ca_system_score_gemma":0.00022779904,"threshold_uncertainty_score":0.0057783723},"labels":[],"label_agreement":null},{"id":"W3018162543","doi":"10.1007/s00259-020-04821-y","title":"A case of COVID-19 lung infection first detected by [18F]FDG PET-CT","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Positron Emission Tomography-Computed Tomography; Lung; PET-CT; Nuclear medicine; Positron emission tomography; Radiology; Coronavirus Infections; Pathology; Internal medicine; Infectious disease (medical specialty)","score_opus":0.01228234155926469,"score_gpt":0.27655334477738375,"score_spread":0.2642710032181191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018162543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91789544,0.018122025,0.0071064155,0.017481105,0.0028691068,0.0005691916,0.0014831085,0.00048029554,0.03399325],"genre_scores_gemma":[0.9874544,0.0029780625,0.0015453675,0.0026590382,0.002383044,0.000038169466,0.00035704402,0.000068974674,0.0025160387],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9990114,0.00007764638,0.00010940812,0.0002430661,0.00014694445,0.00041145855],"domain_scores_gemma":[0.9974381,0.00076268124,0.00039062856,0.0002156431,0.00023190859,0.00096107676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045803664,0.0032599058,0.0021220096,0.0039173122,0.00334929,0.0023293542,0.0025554697,0.013063351,0.0044603567],"category_scores_gemma":[0.004251441,0.0021386854,0.0026921136,0.0022287979,0.0022841285,0.0029849242,0.0021127006,0.0063308296,0.0019466124],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029309287,0.000018549486,0.0018010013,0.000016189273,0.0000049201994,0.99735117,0.000046558926,0.000026179434,0.00024035895,0.000048621147,0.00012999785,0.00028706715],"study_design_scores_gemma":[0.00001162874,0.000056374265,0.0026707386,0.000021799438,0.000022431532,0.99582505,0.00008371024,0.00020268963,0.00037384787,0.00010081458,0.0006178254,0.000013213115],"about_ca_topic_score_codex":0.005421752,"about_ca_topic_score_gemma":0.0050774277,"teacher_disagreement_score":0.013063351,"about_ca_system_score_codex":0.0028489842,"about_ca_system_score_gemma":0.0013223075,"threshold_uncertainty_score":0.02067089},"labels":[],"label_agreement":null},{"id":"W3021745389","doi":"10.1007/s00259-020-04842-7","title":"In vivo imaging of CNS microglial activation/macrophage infiltration with combined [18F]DPA-714-PET and SPIO-MRI in a mouse model of relapsing remitting experimental autoimmune encephalomyelitis","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","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":"Institute of Genetics; Seventh Framework Programme; European Commission","keywords":"Translocator protein; Experimental autoimmune encephalomyelitis; Medicine; Pathology; In vivo; Encephalomyelitis; Magnetic resonance imaging; Nuclear medicine; Multiple sclerosis; Immunology; Neuroinflammation; Radiology; Biology","score_opus":0.016790668357916705,"score_gpt":0.236344591645726,"score_spread":0.2195539232878093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021745389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992023,0.001689921,0.0050178813,0.000057219826,0.000019890964,0.00007248857,0.00019412494,0.00013926321,0.00078622473],"genre_scores_gemma":[0.98217046,0.001216193,0.013370598,0.00006416363,0.000027024807,0.00016929838,0.00027620827,0.000037131304,0.0026688825],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975926,0.000044214852,0.00001726364,0.0000616412,0.00005423132,0.00006336906],"domain_scores_gemma":[0.999843,0.0000149557145,0.000054036325,0.000017852422,0.000027848588,0.000042317235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052485865,0.00087105273,0.00055542483,0.0009900447,0.00016802434,0.00032613683,0.00026403237,0.0007563236,0.0006611037],"category_scores_gemma":[0.00012944061,0.0004888326,0.0003205619,0.00019802799,0.00030880346,0.00033897266,0.00017386662,0.0006281871,0.00029390783],"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":[0.0002468475,0.000053781165,0.00018323712,0.000017851944,0.00000590101,0.00004068029,0.000007666757,0.00005317919,0.99876595,0.000011690977,0.000009798453,0.000603435],"study_design_scores_gemma":[0.00013301628,0.0040923045,0.012987636,0.000015950578,0.0000996818,0.0010682906,0.0000550795,0.003479152,0.9770468,0.00006630329,0.000937958,0.000017777329],"about_ca_topic_score_codex":0.0005634352,"about_ca_topic_score_gemma":0.0009993984,"teacher_disagreement_score":0.0009900447,"about_ca_system_score_codex":0.00023421083,"about_ca_system_score_gemma":0.00015849726,"threshold_uncertainty_score":0.0027757883},"labels":[],"label_agreement":null},{"id":"W3024703185","doi":"10.1007/s00259-020-04839-2","title":"PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Radiomics; Human papilloma virus; Medicine; Basal cell; Human papillomavirus; Oncology; Head and neck squamous-cell carcinoma; Pathology; Papilloma; Papillomaviridae; Internal medicine; Head and neck cancer; Radiology; Cancer; Cervical cancer","score_opus":0.008886595689837512,"score_gpt":0.2442828280403073,"score_spread":0.23539623235046978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024703185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932713,0.0017803531,0.0007242221,0.00019493465,0.000024794648,0.00002954358,0.00046940756,0.00004418253,0.0034612194],"genre_scores_gemma":[0.998379,0.00044614784,0.0003886177,0.000059106194,0.000021481694,0.000011265262,0.0002708724,0.000009314824,0.0004142712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998658,0.000021672497,0.0000143750885,0.000027096798,0.000027688764,0.000043413525],"domain_scores_gemma":[0.9997023,0.000085719534,0.000064502354,0.000024463032,0.00007484282,0.00004818171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027687708,0.00033295644,0.00026008996,0.0012223183,0.00022439881,0.0007218248,0.00033303548,0.000862757,0.0024953375],"category_scores_gemma":[0.0008900617,0.00023401398,0.00033443383,0.0005711472,0.00032961808,0.00033318793,0.00024862424,0.00033593347,0.00061364996],"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":[0.0045619574,0.00020785411,0.62323546,0.00028051998,0.00026147434,0.031146193,0.00027486894,0.0015734341,0.2938786,0.00053350284,0.0014954711,0.04255054],"study_design_scores_gemma":[0.000066238455,0.0007546774,0.8429332,0.00008982453,0.00069407345,0.05539553,0.0009883305,0.01148013,0.08110781,0.00083143654,0.005600817,0.00005783198],"about_ca_topic_score_codex":0.0027173571,"about_ca_topic_score_gemma":0.0020287808,"teacher_disagreement_score":0.0027173571,"about_ca_system_score_codex":0.00031787224,"about_ca_system_score_gemma":0.00023105265,"threshold_uncertainty_score":0.00834775},"labels":[],"label_agreement":null},{"id":"W3025094475","doi":"10.1007/s00259-020-04852-5","title":"Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Swiss Cancer Research Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Correction for attenuation; Residual; Nuclear medicine; Positron emission tomography; Attenuation; Joint (building); Medicine; Radiology; Medical physics; Computer science; Optics; Physics; Algorithm; Engineering","score_opus":0.02870044881054983,"score_gpt":0.2808668052025201,"score_spread":0.25216635639197027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025094475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040264107,0.0011532767,0.9469337,0.00041421578,0.0001903628,0.00009907456,0.000714937,0.0089006955,0.0013296851],"genre_scores_gemma":[0.4144042,0.00067743787,0.56618714,0.0006642127,0.00014228009,0.00026412104,0.0040888893,0.0014951673,0.012076555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997203,0.00006901552,0.000012169969,0.000073520685,0.00007014683,0.000054821012],"domain_scores_gemma":[0.99958783,0.00016999456,0.00003307642,0.00006822936,0.000098421246,0.000042390886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012247902,0.0013286688,0.0011834201,0.00043639826,0.00042183622,0.00088505354,0.002329997,0.0015977093,0.0026247993],"category_scores_gemma":[0.0016234971,0.00059945724,0.0010021161,0.000556638,0.00038432376,0.000929539,0.0014572046,0.0016550944,0.0013839812],"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":[0.001078127,0.00038377036,0.0019568359,0.00024881272,0.0005346611,0.00029694274,0.00011017279,0.39958704,0.019388514,0.003812682,0.01588748,0.55671495],"study_design_scores_gemma":[0.00002233148,0.00004637457,0.00022837707,0.0000071008662,0.000033304794,0.0000455623,0.00000896937,0.9941934,0.0033570474,0.001083103,0.0009615616,0.000012841366],"about_ca_topic_score_codex":0.012510041,"about_ca_topic_score_gemma":0.0235635,"teacher_disagreement_score":0.012510041,"about_ca_system_score_codex":0.00062878703,"about_ca_system_score_gemma":0.0015649647,"threshold_uncertainty_score":0.024874449},"labels":[],"label_agreement":null},{"id":"W3044980215","doi":"10.1007/s00259-020-04964-y","title":"Lung scintigraphy for pulmonary embolism diagnosis during the COVID-19 pandemic: does the benefit-risk ratio really justify omitting the ventilation study?","year":2020,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Scintigraphy; Pulmonary embolism; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Lung; Ventilation (architecture); Radiology; Lung ventilation; Intensive care medicine; Internal medicine; Cardiology; Pathology; Outbreak; Infectious disease (medical specialty); Disease","score_opus":0.023246633471310122,"score_gpt":0.28287888343065976,"score_spread":0.25963224995934964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044980215","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005428532,0.0023650455,0.0002093639,0.97956276,0.0069160303,0.000019276888,0.00008291507,0.000018062976,0.005398035],"genre_scores_gemma":[0.07234362,0.0042584073,0.0011620652,0.8183851,0.10010923,0.000047307876,0.00014514432,0.000050852585,0.0034983435],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791473,0.00077023375,0.0004020215,0.00020427817,0.00039054733,0.0003182837],"domain_scores_gemma":[0.9882464,0.007621104,0.00068696414,0.0002399919,0.0014096999,0.0017958638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024204866,0.00054082315,0.0013065552,0.0009435378,0.0016493386,0.0019154114,0.00134217,0.033587825,0.0047054105],"category_scores_gemma":[0.026573688,0.00060661836,0.0010108164,0.0007151673,0.0018121222,0.0027208999,0.0006493373,0.017293831,0.0034141208],"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":[0.0011340718,0.0003793777,0.051020138,0.0004016585,0.00018867644,0.13406281,0.0006162764,0.00067568413,0.0023681663,0.009191858,0.74201715,0.05794416],"study_design_scores_gemma":[0.001654191,0.0011993786,0.038282715,0.0037323872,0.00045692603,0.21540299,0.0034288676,0.0076440847,0.002028717,0.051136803,0.6746059,0.00042704924],"about_ca_topic_score_codex":0.0051176194,"about_ca_topic_score_gemma":0.008775405,"teacher_disagreement_score":0.033587825,"about_ca_system_score_codex":0.0025042563,"about_ca_system_score_gemma":0.0032153272,"threshold_uncertainty_score":0.01816976},"labels":[],"label_agreement":null},{"id":"W3082317637","doi":"10.1007/s00259-020-05016-1","title":"The use of 18F-FDG PET/CT to guide management of adrenal histoplasmosis over time","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Histoplasmosis; Medicine; Nuclear medicine; PET-CT; Radiology; Positron emission tomography; Pathology","score_opus":0.027171109117048727,"score_gpt":0.2563198927468135,"score_spread":0.22914878362976476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082317637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7687535,0.11339013,0.032378778,0.027332045,0.0021220245,0.00028977386,0.0007209304,0.00060430414,0.054408424],"genre_scores_gemma":[0.9656564,0.018596925,0.010226128,0.0023375992,0.0011108723,0.00003734529,0.00023270617,0.00007496142,0.0017271193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953496,0.00010316598,0.00007565556,0.00007159653,0.00013431856,0.00008036559],"domain_scores_gemma":[0.99821377,0.0006799164,0.00025055127,0.00009167525,0.0005163112,0.00024770026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095638545,0.0006091572,0.00057867053,0.0026251588,0.00061859784,0.0015789277,0.0007771597,0.0019223556,0.001103283],"category_scores_gemma":[0.0069836383,0.00031073907,0.0005868101,0.0009199603,0.0007223437,0.0024472554,0.0003994002,0.0016773416,0.00055869506],"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":[0.0019069683,0.00039364808,0.4236225,0.00046806532,0.0002022232,0.17733449,0.0009307419,0.0043177907,0.03497078,0.0013715926,0.010867174,0.34361395],"study_design_scores_gemma":[0.00018252697,0.0020449804,0.36052212,0.0025302218,0.00080391957,0.46144557,0.0033929253,0.036066424,0.030809347,0.0063047553,0.09555714,0.00034010693],"about_ca_topic_score_codex":0.003554885,"about_ca_topic_score_gemma":0.005447332,"teacher_disagreement_score":0.003554885,"about_ca_system_score_codex":0.0006369465,"about_ca_system_score_gemma":0.00084963336,"threshold_uncertainty_score":0.0070683956},"labels":[],"label_agreement":null},{"id":"W3082489285","doi":"10.1007/s00259-020-05006-3","title":"Classification of negative and positive 18F-florbetapir brain PET studies in subjective cognitive decline patients using a convolutional neural network","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Avid Radiopharmaceuticals; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Amsterdam Neuroscience; Foundation for the National Institutes of Health","keywords":"Convolutional neural network; Positron emission tomography; Neuroimaging; Sagittal plane; Nuclear medicine; Cohort; Artificial intelligence; Standardized uptake value; Medicine; Pattern recognition (psychology); Computer science; Radiology; Pathology","score_opus":0.04856587148538031,"score_gpt":0.34144950249974765,"score_spread":0.2928836310143673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082489285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993468,0.00021324444,0.0053109224,0.000072230774,0.00001935509,0.000033619333,0.0002630878,0.00009470076,0.00052484596],"genre_scores_gemma":[0.99593073,0.00007883607,0.0032330372,0.000029229413,0.000007416993,0.000018746328,0.00041358452,0.0000035355943,0.00028495013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998404,0.000025935155,0.00001747922,0.000052252435,0.00002720883,0.000036770736],"domain_scores_gemma":[0.99967027,0.000120776574,0.00004805182,0.000029247396,0.000088598805,0.00004314882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067066395,0.00047726618,0.0003378879,0.00082400226,0.00015011927,0.00055786496,0.000292538,0.00047479276,0.0005878645],"category_scores_gemma":[0.0014690785,0.00013857943,0.00041816934,0.0001784737,0.00016965793,0.00022172272,0.0003719263,0.00021797027,0.00017053552],"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":[0.002454667,0.0006220888,0.7035735,0.00011891697,0.00038204226,0.00089245837,0.00018557366,0.035645533,0.030594015,0.00021644466,0.002050413,0.22326426],"study_design_scores_gemma":[0.00006922652,0.0006811093,0.28657332,0.000064129905,0.00022739841,0.0011049155,0.0001946131,0.6951882,0.014877059,0.00043721974,0.0005443182,0.00003851405],"about_ca_topic_score_codex":0.0055655767,"about_ca_topic_score_gemma":0.005835981,"teacher_disagreement_score":0.0055655767,"about_ca_system_score_codex":0.00045032718,"about_ca_system_score_gemma":0.0003319362,"threshold_uncertainty_score":0.011066377},"labels":[],"label_agreement":null},{"id":"W3096950825","doi":"10.1007/s00259-020-05081-6","title":"Physiologic colonic uptake of 18F-FDG on PET/CT is associated with clinical response and gut microbiome composition in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Centre hospitalier universitaire de Québec; University of Ottawa; Montreal Heart Institute; Centre Hospitalier de l’Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Medicine; Microbiome; Internal medicine; Gastroenterology; Colorectal cancer; Lung cancer; Dysbiosis; Immune system; Gut flora; Oncology; Cancer; Immunology; Bioinformatics; Biology","score_opus":0.009790092667316234,"score_gpt":0.2504472963221077,"score_spread":0.24065720365479149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096950825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889046,0.00055685,0.000046163266,0.000066582965,0.000007384397,0.0000035174148,0.00010696209,0.0000038747216,0.00031815283],"genre_scores_gemma":[0.99955016,0.00011581323,0.00004897438,0.00003608576,0.000006882485,0.000003231418,0.0001454836,0.0000016434998,0.00009162682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998605,0.000033106182,0.000014399547,0.000035353576,0.000017095483,0.00003957465],"domain_scores_gemma":[0.9994981,0.00010059739,0.00023663361,0.00002103187,0.00004243805,0.00010122069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014720195,0.00023921039,0.000308976,0.000311995,0.00024115828,0.000489195,0.0001593694,0.00042410262,0.0009363577],"category_scores_gemma":[0.0008699325,0.0001555632,0.00027203734,0.00039192388,0.00024154903,0.0002687643,0.00025927936,0.00040024746,0.00013823417],"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":[0.0015276427,0.00005347531,0.9897569,0.000022690103,0.00010856975,0.00040874197,0.000042870954,0.00009781249,0.0042135725,0.000013874586,0.00011239279,0.0036415316],"study_design_scores_gemma":[0.000010448478,0.0001609159,0.99832493,0.0000053782464,0.00004920137,0.00069544814,0.000111738416,0.00020771743,0.000236958,0.00002600243,0.00016760395,0.000003758827],"about_ca_topic_score_codex":0.001140426,"about_ca_topic_score_gemma":0.0018407404,"teacher_disagreement_score":0.001140426,"about_ca_system_score_codex":0.00024468172,"about_ca_system_score_gemma":0.00014103162,"threshold_uncertainty_score":0.0031324625},"labels":[],"label_agreement":null},{"id":"W3099400430","doi":"10.1007/s00259-020-05099-w","title":"The impact of demographic, clinical, genetic, and imaging variables on tau PET status","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; National Institute on Aging; Alzheimer's Society; Stiftelsen Bundy Academy; Australian Government; Vetenskapsrådet; Parkinson Research Foundation; Marcus och Amalia Wallenbergs minnesfond; Knut och Alice Wallenbergs Stiftelse; Lunds Universitet; Parkinsonfonden; Vrije Universiteit Amsterdam; Skånes universitetssjukhus","keywords":"Logistic regression; Dementia; Medicine; Entorhinal cortex; Internal medicine; Hyperintensity; Psychology; Nuclear medicine; Disease; Magnetic resonance imaging; Radiology; Hippocampus","score_opus":0.02247409694118863,"score_gpt":0.3350568195349347,"score_spread":0.3125827225937461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099400430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987858,0.00032410657,0.0001829174,0.000048510276,0.00000765598,0.0000035970702,0.0002113171,0.000004821148,0.00043138114],"genre_scores_gemma":[0.99955684,0.000047136487,0.00007349884,0.000013647493,0.000006515982,0.000004063432,0.000117929405,0.0000026089606,0.00017762966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940884,0.00026594786,0.000050471088,0.00012950563,0.00006942701,0.00007577417],"domain_scores_gemma":[0.9971125,0.0012244678,0.0009003826,0.00025667239,0.0001728319,0.0003330628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012927706,0.00042057244,0.00026105388,0.00046356348,0.00036116803,0.00051666313,0.00038235806,0.0004615722,0.0029920621],"category_scores_gemma":[0.004586491,0.00016375986,0.0004764911,0.00046791663,0.00035657253,0.0004271729,0.00028927476,0.00045269157,0.0004220166],"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":[0.0003214784,0.000034427012,0.9973157,0.000007503043,0.000097403994,0.000110414454,0.000045041703,0.000049758393,0.00037362758,0.000020663289,0.000056294077,0.001567682],"study_design_scores_gemma":[0.0000039213587,0.0001229436,0.9985643,0.0000058639353,0.000059538,0.00047600636,0.00006648991,0.00033242104,0.00016532703,0.00005959231,0.00014125212,0.0000022759539],"about_ca_topic_score_codex":0.0019463226,"about_ca_topic_score_gemma":0.0026258668,"teacher_disagreement_score":0.0029920621,"about_ca_system_score_codex":0.00015190666,"about_ca_system_score_gemma":0.0002835282,"threshold_uncertainty_score":0.010009468},"labels":[],"label_agreement":null},{"id":"W3109479619","doi":"10.1007/s00259-020-05112-2","title":"EANM/SNMMI practice guideline for [18F]FDG PET/CT external beam radiotherapy treatment planning in uterine cervical cancer v1.0","year":2020,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":37,"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":"Siemens Healthineers; Universiteit van Amsterdam; Amsterdam University Medical Centers; Society of Nuclear Medicine and Molecular Imaging","keywords":"Guideline; Medicine; Radiation therapy; Medical physics; Cervical cancer; External beam radiotherapy; Radiation treatment planning; Radiology; Nuclear medicine; PET-CT; Positron emission tomography; Cancer; Brachytherapy; Internal medicine; Pathology","score_opus":0.0368609712298514,"score_gpt":0.36002453408513235,"score_spread":0.323163562855281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109479619","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01623851,0.24853955,0.1567553,0.20568699,0.012503335,0.013884237,0.032506805,0.0053785886,0.30850664],"genre_scores_gemma":[0.07029613,0.14703481,0.56555873,0.081761025,0.0030263108,0.016804935,0.04914089,0.0017708513,0.064606294],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949993,0.0018546948,0.0013054997,0.00023116778,0.0013546203,0.00025479044],"domain_scores_gemma":[0.99128145,0.0023939803,0.0008033434,0.00031555683,0.0049146027,0.00029121098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067011397,0.0010357349,0.0012684218,0.0040523033,0.00091071666,0.0017281915,0.0042703995,0.006121093,0.005715245],"category_scores_gemma":[0.016114008,0.00082371884,0.0024088945,0.0024949305,0.0009816183,0.0010717497,0.001752365,0.003501909,0.0058651743],"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":[0.0001302895,0.00020589533,0.0023441743,0.007080566,0.000118491764,0.0013045068,0.00091738056,0.0027729308,0.0029764588,0.007756564,0.63926643,0.33512634],"study_design_scores_gemma":[0.0001839736,0.00013895748,0.007906166,0.023694007,0.00029206052,0.0040251995,0.0004763169,0.0014034783,0.0012317674,0.0073171733,0.953242,0.000088764675],"about_ca_topic_score_codex":0.020469978,"about_ca_topic_score_gemma":0.028385784,"teacher_disagreement_score":0.020469978,"about_ca_system_score_codex":0.0029101965,"about_ca_system_score_gemma":0.008348997,"threshold_uncertainty_score":0.040701628},"labels":[],"label_agreement":null},{"id":"W3118964091","doi":"10.1007/s00259-020-05163-5","title":"International recommendations for personalised selective internal radiation therapy of primary and metastatic liver diseases with yttrium-90 resin microspheres","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":245,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"National Center for Advancing Translational Sciences; Wake Forest School of Medicine; Genentech; Sirtex Medical; Ipsen; Eisai; Rijksuniversiteit Groningen; Sylvester Comprehensive Cancer Center, University of Miami Health Systems; Westfälische Wilhelms-Universität Münster; Universiteit Leiden; Boston Scientific Corporation; Vanderbilt University Medical Center; Georgetown University; Vanderbilt University; Exelixis; Eli Lilly and Company","keywords":"Selective internal radiation therapy; Medicine; Dosimetry; Hepatocellular carcinoma; Microsphere; Nuclear medicine; Medical physics; Radiation treatment planning; Radiation therapy; Radiology; Internal medicine","score_opus":0.039699046814309295,"score_gpt":0.26230518001486075,"score_spread":0.22260613320055145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118964091","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03653688,0.11224412,0.14339899,0.5508932,0.023738794,0.011571787,0.0034622392,0.0020280464,0.11612594],"genre_scores_gemma":[0.14453147,0.08382925,0.5991045,0.11269007,0.005546483,0.012867465,0.006921665,0.00078239985,0.03372657],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9349419,0.032017104,0.015894955,0.0018118867,0.012070303,0.0032638104],"domain_scores_gemma":[0.8642862,0.049592316,0.017505217,0.0067069093,0.05465297,0.007256326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09733482,0.0014980136,0.0013480457,0.0039600935,0.001355321,0.0035901878,0.005804403,0.009193316,0.0033852726],"category_scores_gemma":[0.08256899,0.0011816168,0.0040972997,0.0025889664,0.0021785393,0.0023446332,0.0053864885,0.008219775,0.0027777874],"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":[0.00061933504,0.0008187683,0.015641,0.011193771,0.00047471165,0.0009921071,0.005489093,0.008983206,0.009732257,0.013082897,0.3742567,0.5587162],"study_design_scores_gemma":[0.00024123762,0.00056177896,0.017701697,0.026949665,0.00053282466,0.0008407351,0.0042901314,0.0027095426,0.0029026144,0.009146221,0.933851,0.00027260257],"about_ca_topic_score_codex":0.0057188203,"about_ca_topic_score_gemma":0.005399108,"teacher_disagreement_score":0.09733482,"about_ca_system_score_codex":0.0033380855,"about_ca_system_score_gemma":0.020476779,"threshold_uncertainty_score":0.51476187},"labels":[],"label_agreement":null},{"id":"W3119304774","doi":"10.1007/s00259-020-05175-1","title":"Validation of FDG-PET datasets of normal controls for the extraction of SPM-based brain metabolism maps","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agenzia Italiana del Farmaco, Ministero della Salute; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; University of Southern California; Biogen; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Ministero della Salute; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Positron emission tomography; Nuclear medicine; Medicine; Extraction (chemistry); Artificial intelligence; Computer science; Medical physics; Chromatography; Chemistry","score_opus":0.019758283465097726,"score_gpt":0.31199455977209223,"score_spread":0.2922362763069945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119304774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8808555,0.0030439426,0.1015331,0.00029822293,0.0001903239,0.00034021377,0.008448445,0.003262452,0.002027825],"genre_scores_gemma":[0.96527785,0.00045744074,0.022964744,0.00007118665,0.00004400782,0.0002018068,0.009798758,0.00039427332,0.00079006684],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871445,0.00036412576,0.00013574833,0.00045293095,0.00023160159,0.000101226055],"domain_scores_gemma":[0.9977569,0.00087010785,0.00016036641,0.0005785236,0.0005540358,0.000080085345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004290988,0.0014011887,0.0007463088,0.0020775325,0.0005365829,0.0012757557,0.00091155176,0.0011396055,0.001836949],"category_scores_gemma":[0.007731656,0.00029862532,0.0008994053,0.00065438123,0.00077136967,0.00045157163,0.0009005809,0.0005153696,0.0009774421],"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":[0.009056865,0.0010367712,0.13468896,0.0017316365,0.0034944026,0.0037991842,0.0015997267,0.014283401,0.38214874,0.0019952077,0.01080351,0.43536168],"study_design_scores_gemma":[0.00075328647,0.0015171913,0.6319347,0.00040483192,0.0028501188,0.016440682,0.0011820169,0.12791114,0.19372857,0.0050266194,0.018067146,0.00018360966],"about_ca_topic_score_codex":0.0037736904,"about_ca_topic_score_gemma":0.004874707,"teacher_disagreement_score":0.004290988,"about_ca_system_score_codex":0.00024822322,"about_ca_system_score_gemma":0.0005884781,"threshold_uncertainty_score":0.022693157},"labels":[],"label_agreement":null},{"id":"W3120838629","doi":"10.1007/s00259-020-05152-8","title":"Comparing ATN-T designation by tau PET visual reads, tau PET quantification, and CSF PTau181 across three cohorts","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Avid Radiopharmaceuticals; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Pet imaging; Medicine; Nuclear medicine; Positron emission tomography","score_opus":0.026674830009600317,"score_gpt":0.32532184962476035,"score_spread":0.29864701961516005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120838629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958488,0.00037681122,0.0014866203,0.000103078724,0.00011072336,0.000059291444,0.001098296,0.00003376846,0.0008826638],"genre_scores_gemma":[0.99693006,0.000052699652,0.0006624305,0.00008884051,0.000029239553,0.00011207362,0.00079345366,0.00004946403,0.0012818754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973297,0.00060835463,0.00027208365,0.0011280136,0.0002959488,0.00036586993],"domain_scores_gemma":[0.99689215,0.0007833744,0.0007258037,0.00070209615,0.0005366964,0.00036002108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003146118,0.0010381389,0.00081599393,0.00079811976,0.0012279511,0.0017284103,0.0011871408,0.0015768574,0.0034630713],"category_scores_gemma":[0.007317682,0.00049161643,0.00160726,0.00064612203,0.00093538716,0.0008182267,0.0012661134,0.0010828463,0.0007477276],"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":[0.057357475,0.00051954755,0.8954512,0.000164147,0.0036486664,0.0009522014,0.0021095555,0.0004288142,0.017450623,0.0011745039,0.0030206821,0.017722616],"study_design_scores_gemma":[0.00084820285,0.002419402,0.9845264,0.000058955324,0.0014783499,0.0009975324,0.00091536436,0.0009926648,0.0027390772,0.0018777428,0.0030720094,0.00007432387],"about_ca_topic_score_codex":0.0070024356,"about_ca_topic_score_gemma":0.007829912,"teacher_disagreement_score":0.0070024356,"about_ca_system_score_codex":0.0006291173,"about_ca_system_score_gemma":0.00071008137,"threshold_uncertainty_score":0.016638458},"labels":[],"label_agreement":null},{"id":"W3137777844","doi":"10.1007/s00259-021-05303-5","title":"[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","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":"McGill University Health Centre","funders":"Horizon 2020; European Commission","keywords":"Medicine; Radiomics; Cervical cancer; Nuclear medicine; PET-CT; Radiology; Cancer; Positron emission tomography; Center (category theory); Medical physics; Internal medicine","score_opus":0.013480226580352651,"score_gpt":0.2834031396877651,"score_spread":0.26992291310741245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137777844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976223,0.00023156177,0.0015458909,0.0000117965865,0.00001007527,0.00009650952,0.00021981151,0.000038753842,0.00022325259],"genre_scores_gemma":[0.9983334,0.000036788253,0.0008097604,0.00001454742,0.000008961585,0.000075640535,0.00061619043,0.000013706969,0.0000909886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954183,0.0021237286,0.00030188847,0.0013214006,0.0006488546,0.00018587656],"domain_scores_gemma":[0.99125236,0.0033733058,0.0011444152,0.0021680745,0.0016668255,0.000394988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102322325,0.0009861591,0.0009947835,0.0011970048,0.0007091519,0.0010336633,0.0010480109,0.0011795847,0.00075253233],"category_scores_gemma":[0.0116013475,0.0005043862,0.0013081694,0.0009079631,0.0011938501,0.000671418,0.0008601959,0.000579554,0.00053420814],"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":[0.007966256,0.000945616,0.9552863,0.00012468349,0.0018369764,0.00021691377,0.0004946147,0.0053200014,0.0071095824,0.00005657595,0.00036642462,0.020276032],"study_design_scores_gemma":[0.0003774075,0.0037464695,0.9715848,0.000027375443,0.0008133574,0.00074500404,0.00027417572,0.016739478,0.0046169087,0.0001114179,0.0008999252,0.00006366419],"about_ca_topic_score_codex":0.0025123477,"about_ca_topic_score_gemma":0.0017671923,"teacher_disagreement_score":0.0102322325,"about_ca_system_score_codex":0.000840257,"about_ca_system_score_gemma":0.00049282296,"threshold_uncertainty_score":0.054113805},"labels":[],"label_agreement":null},{"id":"W3137818185","doi":"10.1007/s00259-021-05244-z","title":"Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"H2020 Marie Skłodowska-Curie Actions","keywords":"Ground truth; Context (archaeology); Computer science; Artificial intelligence; Segmentation; Positron emission tomography; Residual; Convolutional neural network; Upsampling; Nuclear medicine; Volume (thermodynamics); Pattern recognition (psychology); Algorithm; Medicine; Image (mathematics)","score_opus":0.016973354105628627,"score_gpt":0.2708718456128037,"score_spread":0.2538984915071751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137818185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5894161,0.0037989854,0.39401546,0.0006620955,0.00019234416,0.00043380205,0.0014486093,0.0072718635,0.0027608331],"genre_scores_gemma":[0.89844215,0.00046109568,0.09590456,0.00026629886,0.00003957073,0.00019473588,0.0025917136,0.00020442194,0.001895489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988895,0.00038005385,0.000058310277,0.00034607007,0.00017188527,0.00015421605],"domain_scores_gemma":[0.9976622,0.0011541735,0.0002415329,0.0002600355,0.00058571855,0.000096279226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045222626,0.0017615425,0.0009442011,0.0011774186,0.0005808419,0.0008935836,0.0019377734,0.0018346789,0.0010203351],"category_scores_gemma":[0.0062089465,0.00069777167,0.00097020157,0.0008631562,0.00071028783,0.0009955805,0.0011712556,0.0013715808,0.0005009331],"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":[0.00079117296,0.00046497688,0.013863995,0.00023216482,0.0005837096,0.000276196,0.00012489798,0.69937134,0.0085884,0.00094055326,0.0038137592,0.2709489],"study_design_scores_gemma":[0.000014525122,0.00006419673,0.0012286463,0.000018363507,0.000034099732,0.000038247912,0.000012572892,0.9951885,0.0027939335,0.0003381356,0.0002594979,0.000009279019],"about_ca_topic_score_codex":0.027794737,"about_ca_topic_score_gemma":0.026238028,"teacher_disagreement_score":0.027794737,"about_ca_system_score_codex":0.0018890963,"about_ca_system_score_gemma":0.0019884838,"threshold_uncertainty_score":0.055265903},"labels":[],"label_agreement":null},{"id":"W3149354747","doi":"10.1007/s00259-014-2747-1","title":"Comment on: The EANM and SNMMI practice guideline for lymphoscintigraphy and sentinel node localization in breast cancer","year":2014,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Guideline; Breast cancer; Medicine; Medical physics; Sentinel node; Radiology; Cancer; Internal medicine; Pathology","score_opus":0.011391379331517088,"score_gpt":0.266907459225785,"score_spread":0.25551607989426794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149354747","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025598865,0.00040195714,0.00006580742,0.9848192,0.012914658,0.00001658459,0.000119738375,0.00001855474,0.0013875728],"genre_scores_gemma":[0.001132039,0.0003093939,0.00013301142,0.9792845,0.016548725,0.00004139198,0.000045413264,0.000012846543,0.0024926304],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99379396,0.0012917406,0.0011902353,0.00073904794,0.0017091285,0.0012758161],"domain_scores_gemma":[0.9819248,0.008611166,0.002213123,0.00046904746,0.0040976135,0.0026841995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049927784,0.0009217633,0.002167686,0.0013595355,0.004086511,0.0039217933,0.0031949526,0.09915323,0.007868565],"category_scores_gemma":[0.043334495,0.0014417163,0.002543584,0.0015498379,0.0034379242,0.0031678786,0.0022688047,0.051318493,0.007398205],"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":[0.000056835772,0.000025303163,0.0011853904,0.0000619906,0.000019269597,0.0009305284,0.0000820636,0.000082959545,0.00008711299,0.0011125141,0.99270284,0.0036532693],"study_design_scores_gemma":[0.0003962579,0.00014553178,0.0057403087,0.001378571,0.00018173941,0.002995875,0.00064877374,0.0010487246,0.000538773,0.0085936785,0.9781386,0.00019309417],"about_ca_topic_score_codex":0.024413507,"about_ca_topic_score_gemma":0.038484283,"teacher_disagreement_score":0.09915323,"about_ca_system_score_codex":0.010257253,"about_ca_system_score_gemma":0.011876455,"threshold_uncertainty_score":0.07442194},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3156109097","doi":"10.1007/s00259-021-05355-7","title":"Detection of clinically significant prostate cancer with 18F-DCFPyL PET/multiparametric MR","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Prostate cancer; Multiparametric MRI; Nuclear medicine; PET-CT; Prospective cohort study; Radiology; Positron emission tomography; Cancer; Internal medicine","score_opus":0.01578322990151175,"score_gpt":0.28059898894594165,"score_spread":0.2648157590444299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156109097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9236189,0.026608607,0.03067965,0.002161865,0.00016344676,0.00034236998,0.0005734668,0.00062187406,0.015229954],"genre_scores_gemma":[0.9813602,0.0026581038,0.013509842,0.00037651157,0.000097785014,0.000059660706,0.00028902807,0.000057467027,0.0015913316],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996712,0.00009334609,0.000026759306,0.00006709636,0.00006259845,0.000079007215],"domain_scores_gemma":[0.9996728,0.00013141287,0.00004124094,0.000035928573,0.00006800629,0.000050623315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010350854,0.0007548195,0.0005234246,0.0015004041,0.0003352424,0.0007168657,0.0006935777,0.001346955,0.0019938792],"category_scores_gemma":[0.0015773854,0.00047822433,0.0004466831,0.00047469046,0.00043687754,0.0007116656,0.00043048873,0.0006608123,0.0007441357],"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":[0.0056502908,0.00053956883,0.21184717,0.001047364,0.00036316086,0.023542313,0.00039021584,0.0018035646,0.5483341,0.0007148699,0.0032406012,0.20252681],"study_design_scores_gemma":[0.00048292513,0.0046113897,0.34916037,0.00041548803,0.0015596196,0.15187918,0.00068150135,0.036301993,0.4247807,0.0017896112,0.028151128,0.00018613094],"about_ca_topic_score_codex":0.0016733451,"about_ca_topic_score_gemma":0.002538858,"teacher_disagreement_score":0.0019938792,"about_ca_system_score_codex":0.00030970448,"about_ca_system_score_gemma":0.00044349677,"threshold_uncertainty_score":0.0066701174},"labels":[],"label_agreement":null},{"id":"W3156588510","doi":"10.1007/s00259-021-05302-6","title":"Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Progressive supranuclear palsy; Parkinsonism; Medicine; Differential diagnosis; Atrophy; Gold standard (test); Neurology; Radiology; Pathology; Disease; Psychiatry","score_opus":0.012065087711059222,"score_gpt":0.2574903097983842,"score_spread":0.245425222087325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156588510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89098144,0.0064816745,0.08407425,0.0017538248,0.00033223964,0.00030232448,0.0019054135,0.0027211814,0.011447619],"genre_scores_gemma":[0.97380924,0.000897628,0.02312823,0.0002063509,0.00022661785,0.000043998665,0.0008316647,0.00009632939,0.0007598729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925905,0.00019267482,0.00010023015,0.00016601676,0.00018280417,0.00009924143],"domain_scores_gemma":[0.99572504,0.0018949087,0.00043442848,0.00038061055,0.00133147,0.00023359057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017298738,0.0006348148,0.00073631905,0.0040312563,0.0005352356,0.0023894531,0.0011122518,0.0014739732,0.004395484],"category_scores_gemma":[0.01165618,0.00039908526,0.00047163895,0.00092797144,0.0004789757,0.0013328545,0.0010790598,0.0007219191,0.002273345],"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":[0.0032811938,0.00052324677,0.48256218,0.00084329484,0.00039836403,0.010318498,0.00035929933,0.01060135,0.07403719,0.0020479534,0.011924116,0.4031033],"study_design_scores_gemma":[0.00026266318,0.0007202135,0.49544236,0.0007747597,0.00084272627,0.04415829,0.0009774117,0.35394937,0.06656783,0.019646322,0.016505992,0.00015202722],"about_ca_topic_score_codex":0.0021317676,"about_ca_topic_score_gemma":0.0035673499,"teacher_disagreement_score":0.004395484,"about_ca_system_score_codex":0.00036425013,"about_ca_system_score_gemma":0.0007363317,"threshold_uncertainty_score":0.014704347},"labels":[],"label_agreement":null},{"id":"W3157786878","doi":"10.1007/s00259-021-05351-x","title":"Dosimetry and optimal scan time of [18F]SiTATE-PET/CT in patients with neuroendocrine tumours","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":46,"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":"Ludwig-Maximilians-Universität München","keywords":"Nuclear medicine; Dosimetry; Medicine; Biodistribution; Positron emission tomography; Somatostatin receptor; Neuroendocrine tumour; Neuroendocrine tumors; PET-CT; Positron Emission Tomography-Computed Tomography; Somatostatin; Positron emission; Radiology; In vivo; Pathology; Internal medicine","score_opus":0.006273193537488003,"score_gpt":0.2488133937660092,"score_spread":0.24254020022852119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157786878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946136,0.00094780675,0.0033657898,0.000042310065,0.000004573428,0.000017532411,0.0001497201,0.000039605646,0.00081892806],"genre_scores_gemma":[0.99853563,0.00011917193,0.0010952797,0.000009651467,0.00000388968,0.000011877928,0.00009234882,0.00001891034,0.000113261485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996352,0.00016061086,0.0000326372,0.000085753934,0.000053413103,0.00003232804],"domain_scores_gemma":[0.9995085,0.00022186061,0.00013539309,0.000053746415,0.00004628346,0.00003424485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453557,0.00028991446,0.00042999024,0.0004448141,0.00016424981,0.00038457906,0.00015204433,0.0003285404,0.0007328472],"category_scores_gemma":[0.0017894113,0.00020667614,0.00029610246,0.00032576767,0.0003063841,0.00022444889,0.00019866702,0.0002449123,0.00024432875],"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":[0.015105418,0.0002568514,0.7311573,0.00018596915,0.00016456639,0.0016800121,0.0005004478,0.018705554,0.15970467,0.0003482701,0.00053596694,0.071654916],"study_design_scores_gemma":[0.00018104466,0.0038657791,0.9088665,0.000023839315,0.00026329258,0.003468357,0.000220235,0.013233251,0.067795716,0.00037287723,0.001654629,0.00005444003],"about_ca_topic_score_codex":0.0007241809,"about_ca_topic_score_gemma":0.0006540184,"teacher_disagreement_score":0.0007453557,"about_ca_system_score_codex":0.00045378983,"about_ca_system_score_gemma":0.00021717843,"threshold_uncertainty_score":0.0039418936},"labels":[],"label_agreement":null},{"id":"W3160098307","doi":"10.1007/s00259-021-05413-0","title":"Deep learning for whole-body medical image generation","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; Princess Margaret Cancer Centre; University of Toronto; Women's College Hospital","funders":"","keywords":"Deep learning; Artificial intelligence; Medicine; Medical physics; Computer vision; Computer science","score_opus":0.019542572739865652,"score_gpt":0.3056966898163199,"score_spread":0.2861541170764543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160098307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065093683,0.0008653743,0.98651737,0.0004044577,0.00011515727,0.00008094741,0.0006304645,0.003639837,0.0012371114],"genre_scores_gemma":[0.29624814,0.0015338375,0.6831016,0.0012091693,0.00022850731,0.0003360585,0.003905037,0.00084308785,0.012594493],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997985,0.000035414218,0.000009961658,0.000064868786,0.000055316512,0.00003597095],"domain_scores_gemma":[0.99966383,0.00013910227,0.000025690237,0.00006404195,0.00007551565,0.000031757383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006341971,0.0009963157,0.0008725546,0.0007106287,0.00027905393,0.00074072334,0.0012977034,0.0018656445,0.0063263825],"category_scores_gemma":[0.0013949043,0.00067880895,0.0011061196,0.00080952095,0.0003707259,0.0006833851,0.0013586365,0.0019420868,0.0028186308],"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":[0.0004204539,0.00018027931,0.00076689944,0.0002517351,0.00016983516,0.00022773797,0.000050072165,0.15977652,0.024696596,0.004499976,0.020951038,0.78800887],"study_design_scores_gemma":[0.00001791412,0.000041108106,0.00028033095,0.000019266761,0.000020115971,0.00012877236,0.000006879583,0.9856209,0.006759114,0.0044279397,0.0026662974,0.000011291294],"about_ca_topic_score_codex":0.004515081,"about_ca_topic_score_gemma":0.006627691,"teacher_disagreement_score":0.0063263825,"about_ca_system_score_codex":0.00056982425,"about_ca_system_score_gemma":0.00087188976,"threshold_uncertainty_score":0.021163821},"labels":[],"label_agreement":null},{"id":"W3165220533","doi":"10.1007/s00259-021-05401-4","title":"A multicenter comparison of [18F]flortaucipir, [18F]RO948, and [18F]MK6240 tau PET tracers to detect a common target ROI for differential diagnosis","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":81,"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 Neurological Institute and Hospital; McGill University","funders":"Manton Center for Orphan Disease Research, Boston Children's Hospital; Knut och Alice Wallenbergs Stiftelse; Marcus och Amalia Wallenbergs minnesfond; Vetenskapsrådet; Stiftelsen Bundy Academy; Hjärnfonden","keywords":"Receiver operating characteristic; Nuclear medicine; Region of interest; Youden's J statistic; Positron emission tomography; Medicine; Radiology; Internal medicine","score_opus":0.02027384323032817,"score_gpt":0.327007121046886,"score_spread":0.30673327781655785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165220533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941373,0.0030271192,0.001629804,0.000052506082,0.000030418109,0.00031832053,0.00022913056,0.00004393051,0.0005313638],"genre_scores_gemma":[0.9975026,0.00021539662,0.0016268351,0.00004695423,0.000019103141,0.00017977746,0.00028683213,0.000017222867,0.000105261344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961696,0.0018839814,0.0002652384,0.001138781,0.0004001254,0.00014225634],"domain_scores_gemma":[0.9951266,0.0010845303,0.0013189905,0.0009617912,0.0011695061,0.00033847525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01233186,0.0008995621,0.0009920619,0.0007605688,0.00066194346,0.0010722982,0.0010309318,0.0009217792,0.00086510845],"category_scores_gemma":[0.010782503,0.00053547724,0.0011044088,0.0005156285,0.0006401626,0.00080635486,0.00057391217,0.00043591345,0.00043138058],"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":[0.10775512,0.001756603,0.74958163,0.00096687744,0.01326414,0.00051475695,0.0019084,0.001683002,0.03352367,0.00071397616,0.0014595703,0.08687225],"study_design_scores_gemma":[0.009785926,0.04700195,0.90581495,0.00023206198,0.01030554,0.0033440315,0.000706353,0.0062755956,0.011074095,0.0004468454,0.0048630876,0.00014973793],"about_ca_topic_score_codex":0.0022791547,"about_ca_topic_score_gemma":0.0024211938,"teacher_disagreement_score":0.01233186,"about_ca_system_score_codex":0.0010464296,"about_ca_system_score_gemma":0.000668314,"threshold_uncertainty_score":0.06521785},"labels":[],"label_agreement":null},{"id":"W3180431563","doi":"10.1007/s00259-021-05423-y","title":"High fibroblast-activation-protein expression in castration-resistant prostate cancer supports the use of FAPI-molecular theranostics","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Peptidase Inhibition and Analysis","field":"Medicine","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":"Vancouver General Hospital; University of British Columbia","funders":"Universitätsklinikum Essen","keywords":"Fibroblast activation protein, alpha; Prostate cancer; Medicine; Tissue microarray; Prostatectomy; Androgen deprivation therapy; Immunohistochemistry; Cancer research; Prostate; Monoclonal antibody; Pathology; Cancer; Antibody; Internal medicine; Immunology","score_opus":0.019522228943340915,"score_gpt":0.2577339367943324,"score_spread":0.23821170785099147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180431563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889108,0.0062002568,0.0020245076,0.00011002759,0.000012336633,0.00002605262,0.00009903772,0.000048094913,0.0025688699],"genre_scores_gemma":[0.99796295,0.00067766296,0.0008335675,0.00002232518,0.000004700218,0.000007676419,0.00005047951,0.0000017685608,0.00043882147],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998623,0.000032333817,0.0000060720827,0.000027840735,0.000050251776,0.0000211165],"domain_scores_gemma":[0.9999318,0.000015484695,0.00002199499,0.0000069559364,0.000011663674,0.000012006453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002522608,0.00018975504,0.00014151858,0.00026224932,0.00016192795,0.00033642608,0.0001130487,0.00018457079,0.0011371657],"category_scores_gemma":[0.00022892473,0.00009777496,0.00013174015,0.00015015277,0.0001836504,0.00009717376,0.0001256381,0.00017193232,0.00018061724],"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":[0.00086423644,0.00009775981,0.040718473,0.00017008428,0.000051007624,0.0005935438,0.00006250306,0.0005848876,0.9171503,0.00018644848,0.0002444815,0.039276112],"study_design_scores_gemma":[0.00007512688,0.0019979991,0.34785026,0.000042415773,0.00015073895,0.008331454,0.00022340196,0.005456187,0.62587124,0.00023106417,0.009751382,0.000018756535],"about_ca_topic_score_codex":0.0010531172,"about_ca_topic_score_gemma":0.0014973811,"teacher_disagreement_score":0.0011371657,"about_ca_system_score_codex":0.0002655453,"about_ca_system_score_gemma":0.00023304272,"threshold_uncertainty_score":0.0038042068},"labels":[],"label_agreement":null},{"id":"W3198371217","doi":"10.1007/s00259-021-05514-w","title":"Influence of sarcopenia, clinical data, and 2-[18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Toronto General Hospital; Sinai Health System; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Sarcopenia; Medicine; Stage (stratigraphy); Esophageal cancer; Adenocarcinoma; Proportional hazards model; Standardized uptake value; Lymphovascular invasion; Positron emission tomography; Internal medicine; Radiology; Cancer; Nuclear medicine; Oncology; Metastasis","score_opus":0.03515001904081276,"score_gpt":0.33844227768448326,"score_spread":0.3032922586436705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198371217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830085,0.00075919554,0.00009296697,0.00008509895,0.000027362177,0.0000039487954,0.00012532773,0.0000034881982,0.00060178025],"genre_scores_gemma":[0.999428,0.00012715918,0.000040056126,0.000019619783,0.000025494606,0.0000029657115,0.00018494,0.0000016784707,0.00017009774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965227,0.00011753443,0.000051345032,0.000061724015,0.000048384387,0.00006871589],"domain_scores_gemma":[0.9987281,0.00043006297,0.00029070972,0.00007350834,0.00014352497,0.00033396247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076629536,0.0005706966,0.0006137459,0.00063638773,0.00039489623,0.00086334324,0.00029012683,0.0007493329,0.0011681158],"category_scores_gemma":[0.0023014587,0.0001956566,0.0009719122,0.0006054239,0.00030211385,0.0004793998,0.00043080136,0.0006833034,0.0002536207],"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":[0.000484109,0.000037829926,0.9974496,0.0000069735092,0.000091027774,0.00007883802,0.000017703005,0.00009460193,0.00012325763,0.000006920865,0.000042733616,0.0015664248],"study_design_scores_gemma":[0.000013916298,0.00022306968,0.9981206,0.000010235275,0.00016357773,0.00022547004,0.00012645975,0.0008250805,0.000073525014,0.00004406285,0.00016684968,0.0000070621954],"about_ca_topic_score_codex":0.0016375186,"about_ca_topic_score_gemma":0.003418364,"teacher_disagreement_score":0.0016375186,"about_ca_system_score_codex":0.0002504364,"about_ca_system_score_gemma":0.00028782606,"threshold_uncertainty_score":0.0040525794},"labels":[],"label_agreement":null},{"id":"W3198678954","doi":"10.1007/s00259-021-05497-8","title":"Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Cancer Institute; Lunds Universitet","keywords":"Contextualization; Medical physics; Medicine; Nuclear medicine; Radiology; Computer science","score_opus":0.03031287471322622,"score_gpt":0.33772391552469005,"score_spread":0.3074110408114638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198678954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6351559,0.0024902206,0.35071698,0.000261559,0.00010354646,0.0007244806,0.0015357393,0.0054794624,0.0035321314],"genre_scores_gemma":[0.704412,0.00035870794,0.29237235,0.00016690108,0.000049153175,0.00038584546,0.0012646114,0.0002659022,0.00072454015],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99537474,0.0016649567,0.0003986418,0.00093574094,0.0014844049,0.00014148297],"domain_scores_gemma":[0.99038017,0.0045779883,0.0013827741,0.0011447644,0.0022407759,0.0002735831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011226735,0.00090125226,0.0007150958,0.0031417187,0.00046146527,0.0015089349,0.0007313765,0.00083213334,0.0019076495],"category_scores_gemma":[0.01903166,0.0004545555,0.0004673296,0.0007724274,0.0005220708,0.00073285773,0.001176079,0.0005013805,0.0006126647],"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":[0.005034912,0.0006464323,0.20841321,0.0009156794,0.0015594885,0.00057972124,0.0007296124,0.031793956,0.29181746,0.002384383,0.0054269778,0.45069823],"study_design_scores_gemma":[0.00031442646,0.0019218423,0.24009584,0.00010204361,0.00040939916,0.0043705534,0.00019743155,0.4241796,0.3165358,0.0013267588,0.0102340765,0.000312306],"about_ca_topic_score_codex":0.0012565701,"about_ca_topic_score_gemma":0.0020114062,"teacher_disagreement_score":0.011226735,"about_ca_system_score_codex":0.0006673203,"about_ca_system_score_gemma":0.00094073726,"threshold_uncertainty_score":0.05937332},"labels":[],"label_agreement":null},{"id":"W3203242711","doi":"10.1007/s00259-021-05564-0","title":"Combination of terbium-161 with somatostatin receptor antagonists—a potential paradigm shift for the treatment of neuroendocrine neoplasms","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":106,"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":"European Commission; Swiss Cancer Research Foundation; Neuroendocrine Tumor Research Foundation","keywords":"DOTA; Somatostatin receptor; In vivo; Medicine; Cancer research; Viability assay; Neuroendocrine tumors; Radionuclide therapy; Somatostatin receptor 2; Somatostatin; Terbium; Pharmacology; In vitro; Chemistry; Nuclear medicine; Internal medicine; Biochemistry; Biology","score_opus":0.012683747038365603,"score_gpt":0.27943348010166436,"score_spread":0.26674973306329874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203242711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87805665,0.08888574,0.020209668,0.0034820137,0.0005691944,0.00035348776,0.00022379596,0.00023960779,0.007979922],"genre_scores_gemma":[0.95796204,0.0254597,0.012086755,0.00083789276,0.00022149173,0.00016155442,0.00018960574,0.000034202945,0.0030467014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999908,0.000029456984,0.0000075123357,0.000016334785,0.00001820773,0.000020501215],"domain_scores_gemma":[0.99995613,0.000009950677,0.000011453781,0.000005039844,0.000006280489,0.000011110822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032576083,0.0003340285,0.0004584621,0.0002245326,0.000100227786,0.0005128999,0.00035825968,0.00036854256,0.0009115908],"category_scores_gemma":[0.000110431494,0.00016335533,0.00030601688,0.00016735424,0.00020281109,0.00041022687,0.0002998361,0.00067206036,0.00034050044],"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":[0.0006921095,0.00027352863,0.00037863382,0.00033629325,0.000048235474,0.0002557567,0.00004115373,0.0005401455,0.9600853,0.0011175803,0.0005318667,0.03569947],"study_design_scores_gemma":[0.00087171554,0.010324499,0.002916062,0.00008740709,0.00026821537,0.002675819,0.00011248934,0.004317248,0.91844344,0.0011677287,0.05876767,0.00004765816],"about_ca_topic_score_codex":0.00012694157,"about_ca_topic_score_gemma":0.00031823822,"teacher_disagreement_score":0.0009115908,"about_ca_system_score_codex":0.0002530531,"about_ca_system_score_gemma":0.00019305038,"threshold_uncertainty_score":0.003049612},"labels":[],"label_agreement":null},{"id":"W3211646732","doi":"10.1007/s00259-021-05616-5","title":"68Ga-PSMA PET in prostate cancer: a systematic review and meta-analysis of the observer agreement","year":2021,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Prostate cancer; Kappa; Meta-analysis; Cohen's kappa; Nuclear medicine; Confidence interval; Radiology; Metastasis; Bone metastasis; Prostate; Cancer; Pathology; Internal medicine; Statistics; Mathematics","score_opus":0.09388987005938577,"score_gpt":0.3772895387954234,"score_spread":0.2833996687360376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211646732","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073893615,0.9908015,0.0006570169,0.00013516094,0.00014237527,0.00014910758,0.0004943216,0.000020783937,0.00021043167],"genre_scores_gemma":[0.38291907,0.6077313,0.004319602,0.0018742132,0.0004001159,0.00085683516,0.0013142595,0.00010899881,0.00047560528],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9762122,0.012163066,0.006517002,0.0028800438,0.0017731095,0.0004545983],"domain_scores_gemma":[0.95525485,0.034001775,0.0071247043,0.0017245,0.0016304683,0.00026368484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021899547,0.0025880889,0.017662913,0.0034990031,0.00067174947,0.0036599908,0.0028373636,0.0029461992,0.003141108],"category_scores_gemma":[0.055595804,0.001914336,0.035123687,0.0050366893,0.0014442282,0.0029009695,0.0027902075,0.0024122267,0.0003557912],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00263345,0.000017936429,0.008348537,0.20941626,0.7674405,0.00007901133,0.00018490524,0.00031373242,0.00019131057,0.00012431768,0.00040217253,0.010847997],"study_design_scores_gemma":[0.0009119733,0.000118888966,0.0056131007,0.0135000255,0.97813326,0.00008519793,0.000083763785,0.0001307684,0.00008475351,0.00021184087,0.001087779,0.000038610924],"about_ca_topic_score_codex":0.0065106046,"about_ca_topic_score_gemma":0.016576193,"teacher_disagreement_score":0.021899547,"about_ca_system_score_codex":0.002020319,"about_ca_system_score_gemma":0.0027399086,"threshold_uncertainty_score":0.11581731},"labels":[],"label_agreement":null},{"id":"W3211835527","doi":"10.1007/s00259-021-05613-8","title":"Harmonization of nomenclature for molecular imaging metrics of tumour burden: molecular tumour volume (MTV), total lesion activity (TLA) and total lesion fraction (TLF)","year":2021,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université Laval","funders":"","keywords":"Lesion; Medicine; Harmonization; Nuclear medicine; Molecular imaging; Pathology; Biology; Genetics","score_opus":0.022884402181881404,"score_gpt":0.28483409399061066,"score_spread":0.26194969180872923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211835527","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014625355,0.0025609871,0.006390417,0.9585801,0.02459851,0.000070824026,0.000107801316,0.00009731313,0.006131533],"genre_scores_gemma":[0.015473168,0.0022878277,0.009947822,0.91697013,0.04765693,0.00028029055,0.00015234426,0.00015543478,0.007075976],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98227906,0.0067467084,0.004551874,0.0013754636,0.0037589674,0.0012879339],"domain_scores_gemma":[0.95994776,0.022935404,0.0022749538,0.0021542015,0.010940241,0.0017474861],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.016683053,0.0005607901,0.002096203,0.0009255837,0.0026745778,0.0044335695,0.0023637388,0.03126597,0.0017571929],"category_scores_gemma":[0.05097419,0.0007016607,0.0018075085,0.0011776424,0.005948156,0.002726835,0.0022975784,0.040542297,0.0034694327],"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":[0.00013059337,0.000066385415,0.0016139306,0.00021024131,0.00003113197,0.00429477,0.00083117967,0.0003950376,0.0014445542,0.0359196,0.9050772,0.04998521],"study_design_scores_gemma":[0.00010328973,0.000113696966,0.0025874472,0.00070115674,0.000040762156,0.007897085,0.00062856264,0.0013580138,0.0013151681,0.02703208,0.9581261,0.000096619886],"about_ca_topic_score_codex":0.0036758077,"about_ca_topic_score_gemma":0.0055637746,"teacher_disagreement_score":0.98331696,"about_ca_system_score_codex":0.0057416493,"about_ca_system_score_gemma":0.005496816,"threshold_uncertainty_score":0.08822948},"labels":[],"label_agreement":null},{"id":"W3216513689","doi":"10.1007/s00259-021-05622-7","title":"Supramolecular biomaterials for bio-imaging and imaging-guided therapy","year":2021,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Supramolecular chemistry; Nanotechnology; Biocompatibility; Biomedicine; Biocompatible material; Materials science; Biomedical engineering; Medicine; Chemistry; Bioinformatics; Biology","score_opus":0.04560984211414358,"score_gpt":0.33576750019869706,"score_spread":0.29015765808455346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216513689","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035558673,0.997139,0.00040735322,0.00018745128,0.00028849865,0.0000092144255,0.000019996729,0.000010971461,0.0015818941],"genre_scores_gemma":[0.003747167,0.9928462,0.00061583426,0.00019666059,0.00023995333,0.000022076578,0.000042677548,0.0000039394263,0.002285485],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987245,0.000023365516,0.000011045449,0.00002179994,0.000049382594,0.00002198276],"domain_scores_gemma":[0.99989104,0.000047295187,0.000022425944,0.0000057943435,0.000021854406,0.000011619878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043989118,0.0008386716,0.0009141441,0.0012056895,0.00020309248,0.0008249945,0.0006672801,0.0009724178,0.0027528221],"category_scores_gemma":[0.00038419297,0.0002757059,0.00025289005,0.0014428521,0.00043806274,0.0010115245,0.00076224667,0.0012983753,0.001895045],"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":[0.00013007739,0.0001654249,0.000085248845,0.014179146,0.000090038484,0.00022180867,0.00006492147,0.00068375526,0.021182386,0.014723176,0.030880187,0.91759384],"study_design_scores_gemma":[0.000025429825,0.00012392167,0.00043721858,0.0013430796,0.00006615379,0.00059939316,0.00003328294,0.00029660092,0.0070260656,0.0025398138,0.9874802,0.000028802799],"about_ca_topic_score_codex":0.0004474263,"about_ca_topic_score_gemma":0.00090481003,"teacher_disagreement_score":0.0027528221,"about_ca_system_score_codex":0.0005009338,"about_ca_system_score_gemma":0.0006045273,"threshold_uncertainty_score":0.009209096},"labels":[],"label_agreement":null},{"id":"W35262766","doi":"10.1007/s00259-022-05758-0","title":"Mental Health Stigma: The Impact of Labels for Axis I versus Axis II Disorders in the DSM-IV","year":2013,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Mental Health and Psychiatry","field":"Arts and Humanities","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":"Western University","funders":"","keywords":"Stigma (botany); Psychology; Psychiatry; Mental health; Reflexivity; Personality disorders; DSM-5; Social stigma; Clinical psychology; Social psychology; Medicine; Personality; Sociology; Family medicine; Social science","score_opus":0.025703672253416854,"score_gpt":0.29714205090372553,"score_spread":0.2714383786503087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35262766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91647094,0.009430016,0.0007451796,0.03954238,0.00085505075,0.00011833937,0.001251044,0.0000150304195,0.031572036],"genre_scores_gemma":[0.99636567,0.0013597995,0.00026283148,0.00090765586,0.00015498852,0.000026351327,0.0003197358,0.000013570142,0.00058939296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9871099,0.0073823836,0.00053651666,0.00064429664,0.003385479,0.0009415587],"domain_scores_gemma":[0.96480525,0.02145752,0.0064410698,0.0017130406,0.002954372,0.0026287783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013555925,0.00032802118,0.0005585004,0.0015882,0.0022077186,0.002760585,0.00075720024,0.0008818439,0.0066016694],"category_scores_gemma":[0.0582205,0.0002370017,0.001609361,0.0017221441,0.0024912532,0.0023556342,0.00503064,0.0026090627,0.00028994348],"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":[0.00093304244,0.00027652897,0.8699596,0.00021741881,0.0004870144,0.00028573498,0.0070649846,0.0002870246,0.0002045853,0.0076626083,0.0055059213,0.10711556],"study_design_scores_gemma":[0.000038277667,0.000094613344,0.97570646,0.00070918945,0.00032596174,0.00039662785,0.0131739015,0.0006565088,0.00014127804,0.0036870453,0.005032572,0.000037693888],"about_ca_topic_score_codex":0.026824173,"about_ca_topic_score_gemma":0.060295437,"teacher_disagreement_score":0.026824173,"about_ca_system_score_codex":0.0039622476,"about_ca_system_score_gemma":0.0031343084,"threshold_uncertainty_score":0.07169145},"labels":[],"label_agreement":null},{"id":"W37046082","doi":"10.1007/s00259-023-06227-y","title":"Piloting the RAISS tool in the Canadian Context","year":2010,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Evaluation and Performance Assessment","field":"Decision 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":"Context (archaeology); Computer science; History","score_opus":0.08636113613437253,"score_gpt":0.39987525258860146,"score_spread":0.31351411645422894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W37046082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4510598,0.0066877087,0.14761141,0.12101958,0.0038963957,0.025029395,0.022824086,0.0054491973,0.2164225],"genre_scores_gemma":[0.6414475,0.0033370093,0.3222338,0.007532998,0.00040342772,0.0036740096,0.0056236046,0.0009328416,0.014814776],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9690382,0.010694911,0.0015736623,0.00087736314,0.014993734,0.0028221519],"domain_scores_gemma":[0.9084496,0.017488131,0.0020053408,0.0024941606,0.06505456,0.0045082145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04110521,0.00071951933,0.00044481267,0.0031872597,0.0044615655,0.0036876516,0.0027277546,0.0012971566,0.0049097487],"category_scores_gemma":[0.10608748,0.00041514004,0.0008399948,0.003935695,0.0013893243,0.0016326747,0.0024002232,0.0026034873,0.0013899144],"study_design_candidate":"observational","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":[0.0011474735,0.0009535442,0.10223773,0.0011388869,0.00015232166,0.000758109,0.0064196144,0.018755712,0.0033166977,0.017557533,0.22986856,0.6176938],"study_design_scores_gemma":[0.0010135522,0.0020262916,0.2684163,0.0028623813,0.00037687906,0.001027622,0.020749481,0.043734416,0.010613269,0.008900981,0.6392111,0.0010677414],"about_ca_topic_score_codex":0.9320339,"about_ca_topic_score_gemma":0.9636003,"teacher_disagreement_score":0.0679661,"about_ca_system_score_codex":0.03956017,"about_ca_system_score_gemma":0.11327683,"threshold_uncertainty_score":0.28703046},"labels":[],"label_agreement":null},{"id":"W4225867126","doi":"10.1007/s00259-022-05682-3","title":"Clozapine induces astrocyte-dependent FDG-PET hypometabolism","year":2022,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Astrocyte; Glutamate receptor; In vivo; Glucose uptake; Ex vivo; Glucose transporter; Chemistry; Positron emission tomography; Endocrinology; Internal medicine; Pharmacology; Biology; Neuroscience; Medicine; Biochemistry; Central nervous system; Receptor; Insulin","score_opus":0.03659588025218969,"score_gpt":0.307021441292665,"score_spread":0.2704255610404753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225867126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258465,0.00083699694,0.0017053712,0.00029379674,0.00008351841,0.00006477684,0.0005809254,0.00022869634,0.0036212585],"genre_scores_gemma":[0.9968894,0.0003548948,0.00039104826,0.00008929949,0.000014146124,0.000034536177,0.0003126543,0.000026991773,0.0018868652],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998976,0.000016019045,0.0000062861072,0.00001589417,0.00002734545,0.000036830294],"domain_scores_gemma":[0.9998951,0.00001999151,0.00003019768,0.000018500323,0.000012472721,0.000023770477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050517854,0.0005840815,0.00030956988,0.00024018969,0.000213203,0.00030095875,0.00023813176,0.0004537299,0.0018478243],"category_scores_gemma":[0.00021009873,0.00023273962,0.000320055,0.00020631171,0.0002854779,0.00010038139,0.00018097028,0.0008089573,0.00051847345],"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":[0.0015711299,0.00011887218,0.00048622317,0.00005254742,0.000028669569,0.003252386,0.000031414354,0.000061836145,0.9917493,0.00008099918,0.0002552563,0.0023115333],"study_design_scores_gemma":[0.00016563211,0.0011087912,0.020542856,0.000008405767,0.000118168115,0.0066754296,0.00009772276,0.0007302207,0.96707416,0.0000991384,0.003366067,0.00001339344],"about_ca_topic_score_codex":0.005677715,"about_ca_topic_score_gemma":0.007979837,"teacher_disagreement_score":0.005677715,"about_ca_system_score_codex":0.000542348,"about_ca_system_score_gemma":0.00035515038,"threshold_uncertainty_score":0.011289299},"labels":[],"label_agreement":null},{"id":"W4239949434","doi":"10.1007/s00259-021-05397-x","title":"Correction to: [18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation","year":2021,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","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":"McGill University Health Centre","funders":"","keywords":"Medicine; Radiomics; Cervical cancer; Nuclear medicine; Center (category theory); Medical physics; PET-CT; Positron emission tomography; Radiology; Cancer; Internal medicine","score_opus":0.012025706521191242,"score_gpt":0.2824821496767044,"score_spread":0.27045644315551315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239949434","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035946048,0.0011204735,0.00180007,0.03629433,0.95499146,0.00004448192,0.0033339274,0.0006433518,0.0014124325],"genre_scores_gemma":[0.053211037,0.012209706,0.021993127,0.118104346,0.5590131,0.0010049393,0.016841052,0.008361212,0.20926137],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98984057,0.0019673044,0.0025274241,0.0013594681,0.0036005662,0.0007045769],"domain_scores_gemma":[0.893742,0.030657696,0.0055529694,0.008016463,0.058789622,0.0032411814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008070183,0.0023667826,0.0022540777,0.0045649847,0.0024531912,0.004166361,0.0040637758,0.0054875826,0.09674536],"category_scores_gemma":[0.14886248,0.0013723366,0.0022488248,0.00348841,0.0022925516,0.0021612758,0.0023503164,0.008238778,0.041032657],"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":[0.00007953836,0.000006510757,0.00020004393,0.00029086045,0.000026190899,0.00022457956,0.000039481325,0.000067169596,0.000081581886,0.00047523546,0.9908317,0.0076770326],"study_design_scores_gemma":[0.00016766277,0.00005651432,0.0026356867,0.0011530973,0.000100629855,0.0017548829,0.0001664721,0.0007325357,0.00083587226,0.002578528,0.98970884,0.000109173416],"about_ca_topic_score_codex":0.009972613,"about_ca_topic_score_gemma":0.011455134,"teacher_disagreement_score":0.09674536,"about_ca_system_score_codex":0.003395917,"about_ca_system_score_gemma":0.00622576,"threshold_uncertainty_score":0.32364547},"labels":[],"label_agreement":null},{"id":"W4282972386","doi":"10.1007/s00259-022-05871-0","title":"Diagnostic performance of [18F]-FDG PET/MR in evaluating colorectal cancer: a systematic review and meta-analysis","year":2022,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Colorectal cancer; Meta-analysis; Histopathology; Lesion; Radiology; Nuclear medicine; Cancer; Internal medicine; Pathology","score_opus":0.08739623063471928,"score_gpt":0.3779244591296838,"score_spread":0.2905282284949645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282972386","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047449428,0.9943879,0.00025256706,0.00008750529,0.00008733937,0.000066948756,0.00024020288,0.0000141498,0.00011832003],"genre_scores_gemma":[0.16423126,0.83194816,0.0015819686,0.0009056856,0.00022370435,0.00024612478,0.0005382593,0.000030949832,0.00029394278],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9961796,0.0014490371,0.001136767,0.00063811895,0.00043324748,0.00016329778],"domain_scores_gemma":[0.9917915,0.0059125978,0.0014319047,0.00025926082,0.0004825901,0.00012209902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006031698,0.0022323169,0.012804066,0.003753605,0.0004660566,0.002400326,0.0018620596,0.0022793629,0.00303855],"category_scores_gemma":[0.015063097,0.0015577956,0.024640817,0.00501168,0.0007547526,0.0016754111,0.0014473329,0.0016646112,0.00032938813],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026324268,0.000035268586,0.006747034,0.32085094,0.65261275,0.00014803073,0.00010245265,0.00047339595,0.0003971157,0.00008512606,0.00064585794,0.015269659],"study_design_scores_gemma":[0.0005795368,0.00014075788,0.004630795,0.012572834,0.98047227,0.000103734135,0.000047360925,0.00012812791,0.00008398612,0.000094413626,0.0011162632,0.000029981149],"about_ca_topic_score_codex":0.0069193975,"about_ca_topic_score_gemma":0.021033483,"teacher_disagreement_score":0.012804066,"about_ca_system_score_codex":0.0016858893,"about_ca_system_score_gemma":0.0021134778,"threshold_uncertainty_score":0.031899035},"labels":[],"label_agreement":null},{"id":"W4285731045","doi":"10.1007/s00259-022-05897-4","title":"Reactive astrogliosis is associated with higher cerebral glucose consumption in the early Alzheimer’s continuum","year":2022,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Research, Development and Innovation Office; Horizon 2020; National Institutes of Health; Olav Thon Stiftelsen; UK Dementia Research Institute; Vetenskapsrådet; Ministerio de Ciencia e Innovación; Bundesministerium für Bildung und Forschung; Fonds National de la Recherche Luxembourg; Instituto de Salud Carlos III; Familjen Erling-Perssons Stiftelse; Stiftelsen för Gamla Tjänarinnor; ZonMw; Skåne County Council's Research and Development Foundation; Ministerio de Ciencia, Innovación y Universidades; Hjärnfonden; Tribeca Film Institute; “la Caixa” Foundation; European Commission; EU Joint Programme – Neurodegenerative Disease Research; Alzheimer's Drug Discovery Foundation; Alzheimer's Association","keywords":"Astrogliosis; Glial fibrillary acidic protein; Gliosis; Alzheimer's disease; Pathology; Cerebrospinal fluid; Internal medicine; Medicine; Pathological; Endocrinology; Temporal lobe; Astrocyte; Psychology; Neuroscience; Disease; Central nervous system; Epilepsy; Immunohistochemistry","score_opus":0.030949440289430523,"score_gpt":0.28299852400420433,"score_spread":0.2520490837147738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285731045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995782,0.00014945089,0.00004512959,0.000010068342,0.000002229572,0.0000025044071,0.000064881024,0.0000027438905,0.00014477046],"genre_scores_gemma":[0.999686,0.00006104794,0.000060821476,0.0000055541727,0.0000043236887,0.0000036173656,0.00008487023,0.0000013937637,0.00009237227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998191,0.000039797782,0.00002382577,0.000050088845,0.00003821618,0.000028904615],"domain_scores_gemma":[0.9993006,0.00007723703,0.00039211803,0.000044611294,0.00008928451,0.000096191085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003272531,0.00041850217,0.00044194688,0.0010792557,0.00047462463,0.00061662646,0.00028263,0.00037342025,0.0014108823],"category_scores_gemma":[0.0010095692,0.0002317284,0.00025216799,0.0009826388,0.00025499112,0.0002444921,0.0003541312,0.00036225322,0.00021411404],"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":[0.00069391035,0.00007803931,0.9947627,0.000024889063,0.000077122764,0.0003415968,0.00015079182,0.000039470928,0.002079812,0.000018859777,0.000056679644,0.0016760145],"study_design_scores_gemma":[0.0000043378423,0.000084722655,0.9989379,0.000004027508,0.000027126516,0.00044816633,0.000116050214,0.00007702492,0.00017822618,0.000057554313,0.00006205432,0.0000027721924],"about_ca_topic_score_codex":0.002906127,"about_ca_topic_score_gemma":0.0025107623,"teacher_disagreement_score":0.002906127,"about_ca_system_score_codex":0.00021245908,"about_ca_system_score_gemma":0.00013260094,"threshold_uncertainty_score":0.005778432},"labels":[],"label_agreement":null},{"id":"W4294944331","doi":"10.1007/s00259-022-05930-6","title":"Functional biomarkers derived from computed tomography and magnetic resonance imaging differentiate PDAC subgroups and reveal gemcitabine-induced hypo-vascularization","year":2022,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Deutschen Konsortium für Translationale Krebsforschung; Deutsche Krebshilfe; Technische Universität München; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Magnetic resonance imaging; Gemcitabine; Medicine; Computed tomography; Radiology; Tomography; Nuclear medicine; Positron emission tomography; Preclinical imaging; Internal medicine; Cancer; Biology","score_opus":0.016159288828744667,"score_gpt":0.24389685319643958,"score_spread":0.2277375643676949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294944331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981694,0.00041635806,0.00083753775,0.000012433266,0.0000016219216,0.00000858761,0.00012460386,0.000017832403,0.00041145572],"genre_scores_gemma":[0.9986559,0.00013895049,0.00058237993,0.00001481884,0.000002701016,0.000013169872,0.00023246117,0.000003849979,0.0003556337],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999099,0.000017247035,0.000010186344,0.000027815335,0.000018615814,0.000016299151],"domain_scores_gemma":[0.99982893,0.000025498804,0.000071977054,0.000014057691,0.000021239177,0.000038293063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021716768,0.00020990391,0.00022541161,0.00051519444,0.00010033584,0.00045034243,0.00008828423,0.00024396052,0.0007099647],"category_scores_gemma":[0.00030701456,0.00011137747,0.00015117132,0.00023857287,0.00014957845,0.0001760824,0.00014991344,0.00023929184,0.00016754089],"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":[0.001251646,0.000061458064,0.18580344,0.00006990107,0.00006842882,0.0001803265,0.00007724862,0.00027858355,0.8033215,0.00008122196,0.000114525465,0.008691792],"study_design_scores_gemma":[0.000017623957,0.00063580234,0.83085716,0.000010378984,0.00009501724,0.0014020044,0.00021810316,0.002528033,0.1630553,0.00012959863,0.0010414879,0.000009511837],"about_ca_topic_score_codex":0.00036780775,"about_ca_topic_score_gemma":0.00041720958,"teacher_disagreement_score":0.0007099647,"about_ca_system_score_codex":0.00017621036,"about_ca_system_score_gemma":0.00008111037,"threshold_uncertainty_score":0.0023750067},"labels":[],"label_agreement":null},{"id":"W4296970957","doi":"10.1007/s00259-022-05963-x","title":"Associations between near end-of-life flortaucipir PET and postmortem CTE-related tau neuropathology in six former American football players","year":2022,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; Clinical and Translational Science Institute, Boston University; National Institutes of Health; University of Washington; U.S. Department of Veterans Affairs; School of Medicine, Boston University; York University; Brigham and Women's Hospital; Cleveland Clinic; Alzheimer's Drug Discovery Foundation; George Washington University; University of California, San Diego; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Massachusetts General Hospital","keywords":"Chronic traumatic encephalopathy; Medicine; Autopsy; Neuropathology; Standardized uptake value; Positron emission tomography; Nuclear medicine; Concussion; Pathology; Internal medicine; Disease; Poison control; Injury prevention","score_opus":0.03489421476559638,"score_gpt":0.3030240344648087,"score_spread":0.2681298196992123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296970957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99987173,0.00001559186,0.00002778593,0.000006736629,8.238543e-7,0.0000028507384,0.000017734692,7.313374e-7,0.0000560444],"genre_scores_gemma":[0.9997385,0.000011804328,0.00004254503,0.000005261871,0.0000012402235,0.0000027379106,0.000036085985,5.110465e-7,0.00016138674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981755,0.000023070681,0.000019762701,0.000055542176,0.00003187536,0.000052225332],"domain_scores_gemma":[0.99933547,0.000097734825,0.00020587716,0.000045495926,0.00013582912,0.0001796561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003188365,0.00047319374,0.00023391847,0.00087159773,0.0008737898,0.0005580197,0.00043468003,0.000818571,0.0013566008],"category_scores_gemma":[0.0010673414,0.0003381786,0.00020106818,0.000302151,0.0006174504,0.00029775142,0.00044393705,0.00043088023,0.00021250812],"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":[0.00038921536,0.00014358792,0.9927085,0.0000076274573,0.000021792854,0.0019451926,0.0006104707,0.00008338295,0.0024770608,0.000016206708,0.00003786974,0.001559088],"study_design_scores_gemma":[0.000011608666,0.0004319991,0.99506503,0.000004695324,0.000016121418,0.0028129825,0.0008134687,0.0002513358,0.0004589765,0.000023009788,0.00010456831,0.000006125236],"about_ca_topic_score_codex":0.012241494,"about_ca_topic_score_gemma":0.01917998,"teacher_disagreement_score":0.012241494,"about_ca_system_score_codex":0.00050728174,"about_ca_system_score_gemma":0.00015103171,"threshold_uncertainty_score":0.02434045},"labels":[],"label_agreement":null},{"id":"W4301392237","doi":"10.1007/s00259-022-05972-w","title":"Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images","year":2022,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Calgary","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Cedars-Sinai Medical Center","keywords":"Coronary artery disease; Medicine; Brier score; Receiver operating characteristic; CAD; Myocardial perfusion imaging; Area under the curve; Calibration; Population; Internal medicine; Supine position; Radiology; Cardiology; Artificial intelligence; Nuclear medicine; Statistics; Computer science; Mathematics","score_opus":0.017043739156526287,"score_gpt":0.2505793865074918,"score_spread":0.2335356473509655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301392237","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050533164,0.0046332935,0.07222477,0.8581754,0.00632519,0.00008261913,0.00041149123,0.00067442347,0.0069396016],"genre_scores_gemma":[0.6245511,0.0042281244,0.06813253,0.25863284,0.033137083,0.0002629651,0.00041862225,0.00028933526,0.010347359],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867404,0.00075893564,0.00010397635,0.00010930423,0.0002614454,0.00009237201],"domain_scores_gemma":[0.9826031,0.01491267,0.00033703225,0.0003775898,0.0014452214,0.0003244933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039660563,0.00034166765,0.0007516308,0.00042713134,0.00040268726,0.0011405678,0.0007826907,0.0059935674,0.0013237227],"category_scores_gemma":[0.03493684,0.00028679447,0.00048705278,0.00025514895,0.0007900587,0.001139825,0.0006573385,0.006890972,0.0013708044],"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":[0.0014958737,0.00020217977,0.03497906,0.00040606782,0.00025591432,0.008700174,0.00042218898,0.009554502,0.007884249,0.012896904,0.33768588,0.58551705],"study_design_scores_gemma":[0.0010937077,0.00075771427,0.027385468,0.0007991564,0.00045068294,0.0291083,0.0004636711,0.47984797,0.025873376,0.21147914,0.22249922,0.00024168454],"about_ca_topic_score_codex":0.002244623,"about_ca_topic_score_gemma":0.0054754512,"teacher_disagreement_score":0.0059935674,"about_ca_system_score_codex":0.0009395866,"about_ca_system_score_gemma":0.00080820563,"threshold_uncertainty_score":0.020974815},"labels":[],"label_agreement":null},{"id":"W4307233007","doi":"10.1007/s00259-022-06002-5","title":"Defining textbook outcome for selective internal radiation therapy of hepatocellular carcinoma: an international expert study","year":2022,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Multidisciplinary approach; Intervention (counseling); Observational study; Standardization; Medical physics; Family medicine; Randomized controlled trial; Radiation oncologist; Hepatocellular carcinoma; Clinical trial; Radiation therapy; Radiology; Surgery; Internal medicine; Nursing","score_opus":0.10744777277647867,"score_gpt":0.3461064932958482,"score_spread":0.23865872051936954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307233007","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00063075725,0.99849916,0.00009837211,0.00029100062,0.00006291829,0.0000067684446,0.000045493805,0.0000019962465,0.00036352882],"genre_scores_gemma":[0.0070373765,0.9917486,0.00035949607,0.0004947945,0.00009437183,0.000013966933,0.00013513166,0.0000028547006,0.00011355821],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99945015,0.00011853264,0.00016556826,0.00011011505,0.00012055288,0.00003502175],"domain_scores_gemma":[0.99832493,0.0010764627,0.00028249892,0.000035842106,0.00023287842,0.000047343627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003234799,0.0007129459,0.00264852,0.0015312233,0.00017916938,0.0013641533,0.0012593439,0.000856333,0.0015820859],"category_scores_gemma":[0.0037174586,0.0002174053,0.0019494384,0.001859609,0.0004562513,0.0010429557,0.0006939016,0.0012032372,0.00028794902],"study_design_candidate":"qualitative","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":[0.00057584216,0.000072020186,0.0038389165,0.048252556,0.002397635,0.00013021486,0.00013089406,0.00091101724,0.00056132034,0.001528589,0.011290786,0.9303102],"study_design_scores_gemma":[0.0009847865,0.0013401984,0.052247163,0.20341483,0.0441019,0.0039892895,0.0009825197,0.0015199956,0.0021866802,0.007052765,0.6818489,0.00033097755],"about_ca_topic_score_codex":0.0015937202,"about_ca_topic_score_gemma":0.0034630583,"teacher_disagreement_score":0.003234799,"about_ca_system_score_codex":0.0011055925,"about_ca_system_score_gemma":0.0015675431,"threshold_uncertainty_score":0.017107487},"labels":[],"label_agreement":null},{"id":"W4307995537","doi":"10.1007/s00259-022-06001-6","title":"Joint EANM/SNMMI guideline on radiomics in nuclear medicine","year":2022,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":151,"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":"Universitätsklinikum Essen; National Cancer Institute; Society of Nuclear Medicine and Molecular Imaging","keywords":"Radiomics; Guideline; Medical physics; Medicine; Computer science; Radiology; Pathology","score_opus":0.017796059599483084,"score_gpt":0.2732405385382184,"score_spread":0.2554444789387353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307995537","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007164279,0.049143847,0.03999414,0.8145336,0.0391634,0.0010132253,0.002351697,0.0012707153,0.051812932],"genre_scores_gemma":[0.009720761,0.044553004,0.11859596,0.74944824,0.028545644,0.0047203135,0.004812541,0.001117165,0.03848648],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9719392,0.009887336,0.0075607533,0.0012045206,0.008432981,0.0009753128],"domain_scores_gemma":[0.9231648,0.036214605,0.0037611558,0.0043094154,0.030341398,0.0022086583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029648483,0.0011678126,0.0023812945,0.0041049127,0.0020979054,0.00441222,0.007281384,0.024822306,0.0057919123],"category_scores_gemma":[0.09589492,0.0011907609,0.0033341534,0.0025524828,0.00477799,0.004376652,0.003693353,0.020744765,0.012134776],"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":[0.000033868233,0.000034424294,0.00023647708,0.0008643779,0.000021947411,0.00042477573,0.00017539361,0.00036027888,0.00035554133,0.008102442,0.9272357,0.06215471],"study_design_scores_gemma":[0.000041232466,0.000035208177,0.0006464142,0.0057958253,0.000048945993,0.0014688645,0.00011227327,0.00043492494,0.00040514127,0.013439255,0.9775203,0.00005166711],"about_ca_topic_score_codex":0.014132197,"about_ca_topic_score_gemma":0.017686956,"teacher_disagreement_score":0.029648483,"about_ca_system_score_codex":0.0056501487,"about_ca_system_score_gemma":0.01777471,"threshold_uncertainty_score":0.15679806},"labels":[],"label_agreement":null},{"id":"W4311823578","doi":"10.1007/s00259-022-06053-8","title":"Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning","year":2022,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Eurostars; Université de Genève; Hôpitaux Universitaires de Genève; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Attenuation; Correction for attenuation; Medical physics; Computer science; Medicine; Physics; Optics","score_opus":0.020498038815525015,"score_gpt":0.29674415317575803,"score_spread":0.276246114360233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311823578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21233839,0.00032804086,0.7797624,0.00065598596,0.00009627529,0.00024189553,0.0002679675,0.004556336,0.0017527894],"genre_scores_gemma":[0.9559227,0.00004066698,0.042449992,0.00016336066,0.000022235521,0.000103137434,0.00025346983,0.000038383278,0.0010061532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987502,0.00037443664,0.000054744003,0.00046011645,0.00014117296,0.00021922779],"domain_scores_gemma":[0.99762195,0.0006858503,0.00028671656,0.00062080857,0.0005039837,0.0002806558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033791633,0.00094849616,0.0014119705,0.00052293635,0.0005958419,0.0010027096,0.0024176214,0.0012275677,0.0011715925],"category_scores_gemma":[0.004311246,0.00051556464,0.0007875474,0.0005541473,0.0009979497,0.0017739927,0.0025353464,0.0011534808,0.0003369862],"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":[0.00059194764,0.0004980603,0.0055996,0.000058848964,0.00013007085,0.0002003921,0.00008279547,0.88949853,0.002327736,0.0015028261,0.0022279278,0.097281285],"study_design_scores_gemma":[0.000021097767,0.000061085215,0.0002487116,0.0000026718153,0.000010053167,0.000018861825,0.000012293655,0.9978393,0.0006662759,0.0009595479,0.00015528438,0.0000047732206],"about_ca_topic_score_codex":0.010111671,"about_ca_topic_score_gemma":0.008193697,"teacher_disagreement_score":0.010111671,"about_ca_system_score_codex":0.0014697647,"about_ca_system_score_gemma":0.0025914698,"threshold_uncertainty_score":0.0201056},"labels":[],"label_agreement":null},{"id":"W4321435953","doi":"10.1007/s00259-023-06136-0","title":"The role of [18F]-DCFPyL PET/MRI radiomics for pathological grade group prediction in prostate cancer","year":2023,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Prostate cancer; Radiomics; Magnetic resonance imaging; Histopathology; Nuclear medicine; Radiology; Pathological; Multiparametric MRI; Cancer; Pathology; Internal medicine","score_opus":0.01525227709492927,"score_gpt":0.26149591492194796,"score_spread":0.2462436378270187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321435953","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036812776,0.007681611,0.0005857439,0.9726386,0.009524557,0.000022568123,0.000084951134,0.00004679498,0.00573395],"genre_scores_gemma":[0.0863765,0.009514,0.002702742,0.8025174,0.08881731,0.000110601824,0.00015426127,0.000089616195,0.009717486],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99846077,0.0006724685,0.00022653397,0.00014797637,0.00032420387,0.00016810959],"domain_scores_gemma":[0.99253404,0.0050904285,0.00032517745,0.00024675945,0.0010553651,0.0007481561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002830988,0.0005097691,0.0010979432,0.00063042063,0.0010930711,0.0018604377,0.0012323193,0.022503745,0.0020672057],"category_scores_gemma":[0.015018092,0.00048233222,0.0008349359,0.00050110667,0.002022754,0.0017854288,0.0005459748,0.014226231,0.0025758408],"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":[0.0014445387,0.00023315584,0.015783265,0.0003729165,0.00011845141,0.037083164,0.00039488627,0.0009975927,0.003282142,0.008092015,0.7542729,0.17792496],"study_design_scores_gemma":[0.00059745257,0.0007110572,0.010775982,0.000918543,0.00018376326,0.04068199,0.00046712407,0.0053787166,0.0027551532,0.02397996,0.91340625,0.00014400652],"about_ca_topic_score_codex":0.004750914,"about_ca_topic_score_gemma":0.006465698,"teacher_disagreement_score":0.022503745,"about_ca_system_score_codex":0.0036481163,"about_ca_system_score_gemma":0.001802654,"threshold_uncertainty_score":0.026469052},"labels":[],"label_agreement":null},{"id":"W4362601668","doi":"10.1007/s00259-023-06209-0","title":"Longitudinal head-to-head comparison of 11C-PiB and 18F-florbetapir PET in a Phase 2/3 clinical trial of anti-amyloid-β monoclonal antibodies in dominantly inherited Alzheimer’s disease","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute; University of British Columbia; Sunnybrook Hospital","funders":"National Institute of Neurological Disorders and Stroke; Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in St. Louis; Avid Radiopharmaceuticals; Eli Lilly and Company; BrightFocus Foundation; Alzheimer's Association; National Institute on Aging; Genentech; National Center for Advancing Translational Sciences; Agence Nationale de la Recherche; National Science Foundation; GHR Foundation; National Institutes of Health","keywords":"Standardized uptake value; Positron emission tomography; Medicine; Nuclear medicine; Pittsburgh compound B; Clinical trial; Drug trial; Pathology; Alzheimer's disease; Disease","score_opus":0.13429640439820426,"score_gpt":0.45193179005020107,"score_spread":0.3176353856519968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362601668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967008,0.001024382,0.0003447231,0.0001611376,0.00012540317,0.0004183356,0.0006293193,0.00004289312,0.000553017],"genre_scores_gemma":[0.99473286,0.0007257669,0.000437138,0.00043558286,0.00017365643,0.0007703489,0.0015786986,0.00004642483,0.0010995445],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99833506,0.0007370518,0.00008069926,0.0002916395,0.00012051408,0.0004350375],"domain_scores_gemma":[0.9978428,0.0003936549,0.00039359517,0.00035560754,0.000306172,0.0007081849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052775377,0.002633463,0.0041734576,0.00059331785,0.0010716267,0.001818523,0.0009560908,0.0024632344,0.0020946905],"category_scores_gemma":[0.003064368,0.0014812076,0.0020208585,0.0006997502,0.0021287228,0.0020129278,0.00050450204,0.0031730235,0.0012268042],"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":[0.95837986,0.013052777,0.004481481,0.00008087146,0.001420675,0.000108435335,0.00019672046,0.0007519898,0.010027827,0.00006433336,0.00067061424,0.010764368],"study_design_scores_gemma":[0.3337487,0.5967805,0.0546004,0.00002941132,0.0031531511,0.00035486423,0.00025599427,0.0017810685,0.006790801,0.0004151175,0.0019228322,0.00016716859],"about_ca_topic_score_codex":0.007629112,"about_ca_topic_score_gemma":0.0075266897,"teacher_disagreement_score":0.007629112,"about_ca_system_score_codex":0.0019297079,"about_ca_system_score_gemma":0.0023669899,"threshold_uncertainty_score":0.02791065},"labels":[],"label_agreement":null},{"id":"W4366084120","doi":"10.1007/s00259-023-06218-z","title":"Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"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; University of Calgary","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; British Heart Foundation","keywords":"Medicine; Myocardial perfusion imaging; Coronary artery disease; Internal medicine; Hazard ratio; Cardiology; Cohort; Population; Radiology; Confidence interval","score_opus":0.008715423093344594,"score_gpt":0.22211281724809748,"score_spread":0.2133973941547529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366084120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99125344,0.0003216476,0.0068819514,0.00023243933,0.000015526657,0.000049040278,0.0005379088,0.00006553221,0.00064247055],"genre_scores_gemma":[0.99604034,0.00006182501,0.0028220112,0.00004398385,0.00002167658,0.000025446847,0.0008486206,0.000009147707,0.00012691162],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932694,0.00027418882,0.000055053177,0.00017145685,0.00009745775,0.00007497992],"domain_scores_gemma":[0.9971233,0.0013024752,0.00080273557,0.00033607107,0.00026741766,0.00016801477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011917907,0.00036679703,0.00048074496,0.0010678794,0.00028317622,0.00050082017,0.00044925872,0.0003849818,0.0008171709],"category_scores_gemma":[0.005873936,0.00013723395,0.0004904012,0.0005285567,0.000360083,0.00033169988,0.00053462456,0.0005331704,0.0002657221],"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":[0.0004207738,0.00016409162,0.9720088,0.000026392505,0.00019705197,0.000067794266,0.00006689819,0.003077694,0.0009845677,0.00013331856,0.0007852177,0.022067344],"study_design_scores_gemma":[0.000086966174,0.00043537322,0.89994687,0.000036211084,0.00016158167,0.0007068827,0.00017679854,0.09360418,0.0014320724,0.002399343,0.0009816869,0.000032027718],"about_ca_topic_score_codex":0.0023080893,"about_ca_topic_score_gemma":0.0029585722,"teacher_disagreement_score":0.0023080893,"about_ca_system_score_codex":0.00035745796,"about_ca_system_score_gemma":0.0006155478,"threshold_uncertainty_score":0.006302893},"labels":[],"label_agreement":null},{"id":"W4367668166","doi":"10.1007/s00259-023-06215-2","title":"Results from an EANM survey on time estimates and personnel responsible for main tasks in molecular radiotherapy dosimetry","year":2023,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Dosimetry; Medical physics; Medicine; Radiation therapy; Nuclear medicine; Radiology","score_opus":0.01571112053077949,"score_gpt":0.29004248733285154,"score_spread":0.27433136680207204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367668166","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42562827,0.0022405554,0.0030315216,0.5098739,0.005414871,0.00027279177,0.012808092,0.00019120643,0.040538833],"genre_scores_gemma":[0.73131055,0.002921772,0.003729233,0.20899674,0.003019384,0.0005142789,0.004817617,0.00011207359,0.04457837],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9976488,0.0008110389,0.00035157407,0.00017971465,0.0006515656,0.00035725327],"domain_scores_gemma":[0.983554,0.00792438,0.0016862365,0.0007108426,0.0051698578,0.00095464545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033992121,0.0001673528,0.00019584903,0.00068624667,0.00087543513,0.0007175581,0.000568308,0.0037576978,0.0023036704],"category_scores_gemma":[0.012149859,0.00024142675,0.000269276,0.0013659851,0.00033969342,0.0005512257,0.0007577813,0.0016386446,0.0011558628],"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":[0.0011864222,0.00029755366,0.41211537,0.0003001028,0.00006144839,0.0030541162,0.004277473,0.0016446685,0.0027533993,0.0010666691,0.4725646,0.10067815],"study_design_scores_gemma":[0.00007160915,0.0004467915,0.54957193,0.00024539084,0.00007167214,0.0017703146,0.012167351,0.0020860927,0.0022548714,0.0010679297,0.4301695,0.000076568445],"about_ca_topic_score_codex":0.052499507,"about_ca_topic_score_gemma":0.087955184,"teacher_disagreement_score":0.052499507,"about_ca_system_score_codex":0.0020699755,"about_ca_system_score_gemma":0.0022327555,"threshold_uncertainty_score":0.10438782},"labels":[],"label_agreement":null},{"id":"W4382011186","doi":"10.1007/s00259-023-06315-z","title":"Next-generation PET/CT imaging in meningioma—first clinical experiences using the novel SSTR-targeting peptide [18F]SiTATE","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":29,"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":"Deutsche Forschungsgemeinschaft; Society of Nuclear Medicine and Molecular Imaging","keywords":"Meningioma; Medicine; Nuclear medicine; Radiology; PET-CT; Positron emission tomography","score_opus":0.09457551703527915,"score_gpt":0.3312194232211742,"score_spread":0.23664390618589504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382011186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98370844,0.010829097,0.0025708482,0.00029465,0.000030237316,0.000088330286,0.00014139943,0.00008051212,0.0022564372],"genre_scores_gemma":[0.9915593,0.004805061,0.0025648042,0.00021075492,0.00009439577,0.000028477136,0.00026966227,0.000026128573,0.00044129413],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99984527,0.000056467386,0.000012778332,0.000031104977,0.000024212639,0.000030135705],"domain_scores_gemma":[0.9998554,0.000039078677,0.000012097342,0.000023064073,0.000019406827,0.000051008614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063368626,0.00048456466,0.00037312735,0.00037765555,0.00026679615,0.00044194266,0.00027183953,0.00047578177,0.0007322685],"category_scores_gemma":[0.0005852152,0.00019927659,0.00040537317,0.00024007133,0.00031196378,0.00028678353,0.00030651357,0.00046677777,0.00047841604],"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":[0.013752453,0.0035041138,0.21624173,0.0006762232,0.0005479492,0.06814568,0.0017380227,0.002160067,0.3392571,0.0004402787,0.002806755,0.35072955],"study_design_scores_gemma":[0.0020359722,0.027714094,0.441836,0.00019660564,0.00086697895,0.272275,0.0010559146,0.0067681433,0.21278475,0.00095075177,0.033314325,0.00020148735],"about_ca_topic_score_codex":0.00093781494,"about_ca_topic_score_gemma":0.0008975339,"teacher_disagreement_score":0.00093781494,"about_ca_system_score_codex":0.00031971585,"about_ca_system_score_gemma":0.00022002931,"threshold_uncertainty_score":0.0033512712},"labels":[],"label_agreement":null},{"id":"W4383711258","doi":"10.1007/s00259-023-06323-z","title":"Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Cedars-Sinai Medical Center","keywords":"Myocardial perfusion imaging; Medicine; Nuclear medicine; Radiology; Internal medicine; Perfusion; Perfusion scanning; Cardiology","score_opus":0.008567238029793475,"score_gpt":0.2728766030318324,"score_spread":0.26430936500203894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383711258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834526,0.000416017,0.00064301904,0.000064121275,0.00001055293,0.000006467138,0.00018613355,0.000010562303,0.00031793097],"genre_scores_gemma":[0.9995346,0.000052723528,0.00019324753,0.0000073952074,0.000027973281,0.0000027875958,0.00014411013,0.0000018318707,0.00003540338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996804,0.00014255567,0.000024754629,0.000052418847,0.000057876034,0.000041881045],"domain_scores_gemma":[0.9970016,0.0014798993,0.0007666459,0.00019582074,0.0002142118,0.0003419155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011482298,0.00052152836,0.00030402085,0.00059002446,0.00014095833,0.00055716804,0.00022824148,0.0003471437,0.0011642694],"category_scores_gemma":[0.005374426,0.00014725278,0.00030044073,0.0003576896,0.00029866066,0.00040038544,0.00037704798,0.0004898247,0.00016336591],"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":[0.00054580934,0.000021277463,0.99437404,0.0000075798284,0.000056060733,0.00006001896,0.0000090205185,0.00027858638,0.00068396435,0.00002498758,0.000051491686,0.003887245],"study_design_scores_gemma":[0.00002324156,0.00029686873,0.9939175,0.0000065887766,0.00008994053,0.00046027332,0.000028292137,0.0043333746,0.00048913,0.00023816884,0.00010931923,0.0000073541255],"about_ca_topic_score_codex":0.00041542508,"about_ca_topic_score_gemma":0.00063678966,"teacher_disagreement_score":0.0011642694,"about_ca_system_score_codex":0.00016998404,"about_ca_system_score_gemma":0.00021524516,"threshold_uncertainty_score":0.0060724616},"labels":[],"label_agreement":null},{"id":"W4385968763","doi":"10.1007/s00259-023-06393-z","title":"[18F]-FDG PET in anal canal cancer: a systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Meta-analysis; Lymph node; Anal cancer; Histopathology; Nuclear medicine; Stage (stratigraphy); Internal medicine; Radiology; Cancer; Oncology; Pathology","score_opus":0.09081200625068353,"score_gpt":0.35956885771517516,"score_spread":0.26875685146449163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385968763","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004535496,0.99459755,0.00022183421,0.00008468323,0.00008059712,0.00007668213,0.00026798973,0.000013757307,0.00012141354],"genre_scores_gemma":[0.15715347,0.83925676,0.0013248565,0.0009872082,0.00019259036,0.0002593624,0.0004662027,0.00002742253,0.00033213093],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9971418,0.0011015431,0.0008268664,0.0004931026,0.0002839027,0.00015284904],"domain_scores_gemma":[0.99458283,0.0036517906,0.0011253557,0.00019891358,0.00034550147,0.000095607225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004838044,0.0023382783,0.013187089,0.0034613388,0.00048246302,0.0023755052,0.001691341,0.002321597,0.00394673],"category_scores_gemma":[0.0107344035,0.0016772306,0.023224622,0.0052079647,0.0007318133,0.0018198019,0.0016022079,0.0017069532,0.00038947482],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029445481,0.00004469726,0.0065567954,0.41167784,0.5594277,0.00019918995,0.000121194,0.00048224477,0.0004857043,0.00009192105,0.00075763237,0.017210484],"study_design_scores_gemma":[0.0007892337,0.00019026075,0.0046739993,0.016390854,0.97590274,0.00013116258,0.000061660205,0.00010315481,0.00008408859,0.000099051664,0.0015391563,0.000034560875],"about_ca_topic_score_codex":0.007041789,"about_ca_topic_score_gemma":0.023622813,"teacher_disagreement_score":0.013187089,"about_ca_system_score_codex":0.0016488628,"about_ca_system_score_gemma":0.0022220386,"threshold_uncertainty_score":0.025586367},"labels":[],"label_agreement":null},{"id":"W4386153671","doi":"10.1007/s00259-023-06406-x","title":"International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":48,"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 General Hospital; Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"Universitätsklinikum Essen; Society of Nuclear Medicine and Molecular Imaging","keywords":"Medicine; Medical physics; Consensus conference; Positron emission tomography; Nuclear medicine; Oncology; Internal medicine","score_opus":0.038052997033202356,"score_gpt":0.3614059387724699,"score_spread":0.32335294173926754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386153671","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010758621,0.12018734,0.0145601565,0.64242154,0.093753815,0.0038194715,0.008141044,0.0013747514,0.11466607],"genre_scores_gemma":[0.0115901455,0.16137491,0.098353684,0.536015,0.037331607,0.013031903,0.04201165,0.0013161723,0.09897487],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9827299,0.005743202,0.003599882,0.0010320008,0.0055594863,0.0013354631],"domain_scores_gemma":[0.95139664,0.007840145,0.0047284765,0.0011838293,0.031086182,0.0037646408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020408679,0.0014971915,0.0026493615,0.0069303145,0.0020502352,0.0061275098,0.008523806,0.020284733,0.028001498],"category_scores_gemma":[0.07017924,0.0011724159,0.0045735408,0.0048336196,0.0024163395,0.005055835,0.0047344365,0.013510963,0.046689183],"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":[0.00004609857,0.000039690287,0.0001991425,0.001776383,0.000022526463,0.00011715349,0.00008606246,0.00013097053,0.0001523379,0.0023768253,0.9377261,0.057326697],"study_design_scores_gemma":[0.00011129282,0.000045512512,0.001009617,0.014458062,0.00008022301,0.0004960503,0.00017030115,0.00016961101,0.00021026899,0.0040191323,0.9791875,0.00004248002],"about_ca_topic_score_codex":0.0191726,"about_ca_topic_score_gemma":0.020546075,"teacher_disagreement_score":0.028001498,"about_ca_system_score_codex":0.00809559,"about_ca_system_score_gemma":0.031601004,"threshold_uncertainty_score":0.10793269},"labels":[],"label_agreement":null},{"id":"W4386255207","doi":"10.1007/s00259-023-06409-8","title":"Correction to: Next‑generation PET/CT imaging in meningioma—first clinical experiences using the novel SSTR‑targeting peptide [18F]SiTATE","year":2023,"lang":"en","type":"erratum","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Peptidase Inhibition and Analysis","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 Alberta","funders":"","keywords":"Medicine; Meningioma; Nuclear medicine; Medical physics; Positron emission tomography; Radiology","score_opus":0.061498643691996854,"score_gpt":0.335042785851031,"score_spread":0.2735441421590341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386255207","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013898696,0.0009356317,0.00068765983,0.052148342,0.9433002,0.000036444602,0.0004774771,0.00029869794,0.0019766856],"genre_scores_gemma":[0.011943036,0.010354112,0.0061194305,0.13960946,0.65859616,0.00030059312,0.0016597479,0.0017216728,0.16969582],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964927,0.00051211676,0.00073701504,0.00047941357,0.0014741375,0.00030475546],"domain_scores_gemma":[0.97771513,0.0058425753,0.0013000908,0.001126174,0.012420677,0.001595286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034394993,0.002150415,0.0018555296,0.0035364004,0.0023590568,0.0031992428,0.003626817,0.008579894,0.034417905],"category_scores_gemma":[0.051374715,0.0011214841,0.0018428311,0.0015982692,0.0030938848,0.0023373622,0.0017785237,0.01228432,0.02403264],"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":[0.00003759678,0.0000057076454,0.000065413675,0.00011281922,0.000008268492,0.00065400644,0.000024780591,0.000041768206,0.000054943444,0.0003938867,0.99272704,0.005873792],"study_design_scores_gemma":[0.000056003784,0.000023142977,0.0005024225,0.00034603092,0.00003055281,0.002629698,0.0000805592,0.00030360484,0.00042390972,0.0013738449,0.9941894,0.000040914794],"about_ca_topic_score_codex":0.014802942,"about_ca_topic_score_gemma":0.016628664,"teacher_disagreement_score":0.034417905,"about_ca_system_score_codex":0.0042437324,"about_ca_system_score_gemma":0.0049014804,"threshold_uncertainty_score":0.115139365},"labels":[],"label_agreement":null},{"id":"W4386531233","doi":"10.1007/s00259-023-06418-7","title":"Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Genève; Hôpitaux Universitaires de Genève; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Differential privacy; Computer science; Transfer of learning; Differential (mechanical device); Image (mathematics); Artificial intelligence; Data mining; Physics","score_opus":0.03670477029743751,"score_gpt":0.3110776247877282,"score_spread":0.2743728544902907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386531233","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19600208,0.00033132074,0.79934865,0.00040920178,0.000054357064,0.00012233443,0.00021728234,0.0024364004,0.0010783983],"genre_scores_gemma":[0.97161174,0.000041621643,0.027244557,0.00009907351,0.000018583965,0.00006990117,0.00018626063,0.00002998112,0.0006982969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820924,0.00064700266,0.00009391303,0.0004996638,0.00028833773,0.00026192528],"domain_scores_gemma":[0.9970655,0.0011619749,0.00030312774,0.00083722046,0.0004906164,0.00014162657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036564663,0.0008032749,0.00093030406,0.00063933583,0.00054522336,0.0011042604,0.0016200098,0.001161369,0.000978516],"category_scores_gemma":[0.008933613,0.00028238815,0.0007686086,0.0006160611,0.0010821641,0.0016104516,0.0026909707,0.0011401181,0.00033018642],"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":[0.0009572745,0.0005855693,0.013025204,0.0001070441,0.00017997876,0.0004907482,0.00027485457,0.60845846,0.009932763,0.0036201002,0.0024176848,0.35995027],"study_design_scores_gemma":[0.000013321206,0.000100163394,0.00087650196,0.0000051023903,0.000015253522,0.00007655546,0.000031984604,0.9915143,0.0038395675,0.0032636046,0.0002525038,0.000011116866],"about_ca_topic_score_codex":0.0029242255,"about_ca_topic_score_gemma":0.0017944879,"teacher_disagreement_score":0.0036564663,"about_ca_system_score_codex":0.0009643505,"about_ca_system_score_gemma":0.0014277445,"threshold_uncertainty_score":0.019337475},"labels":[],"label_agreement":null},{"id":"W4386817732","doi":"10.1007/s00259-023-06383-1","title":"A phase I/II study of the safety and efficacy of [177Lu]Lu-satoreotide tetraxetan in advanced somatostatin receptor-positive neuroendocrine tumours","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","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":"Université Laval","funders":"Ipsen; Universität Basel","keywords":"Somatostatin receptor; Somatostatin; Medicine; Neuroendocrine tumors; Internal medicine; Cancer research; Oncology; Nuclear medicine","score_opus":0.01331600344752483,"score_gpt":0.3126904724162776,"score_spread":0.2993744689687528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386817732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984895,0.00051398587,0.0003317235,0.000031694162,0.00001498369,0.00029191226,0.0000618173,0.000014716457,0.00024976482],"genre_scores_gemma":[0.9970385,0.0005271194,0.00095839804,0.00013271542,0.00004476534,0.00039879992,0.0003361678,0.000012386889,0.000551091],"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9996979,0.00016716961,0.000019955683,0.000049096947,0.000029307676,0.000036572008],"domain_scores_gemma":[0.9996326,0.00008765754,0.00007763925,0.000042730855,0.000024529492,0.00013472476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010680793,0.00070563855,0.0012380341,0.00019670973,0.00027991645,0.00043801972,0.00038920649,0.00050180143,0.001029543],"category_scores_gemma":[0.00049394625,0.00041805636,0.0005550235,0.00019427539,0.0007583701,0.0004393468,0.00016304782,0.0012798992,0.0002665086],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.26744372,0.059688076,0.024794143,0.00076190336,0.000922931,0.00086190173,0.00053088757,0.0046278834,0.52162576,0.00026847978,0.0010992412,0.11737508],"study_design_scores_gemma":[0.10920967,0.83603585,0.023320535,0.000020291,0.00032013026,0.0007539366,0.000103511185,0.0021252418,0.02599721,0.000101539015,0.0019813927,0.000030754625],"about_ca_topic_score_codex":0.00060662965,"about_ca_topic_score_gemma":0.0011480832,"teacher_disagreement_score":0.0012380341,"about_ca_system_score_codex":0.00038736608,"about_ca_system_score_gemma":0.0006975895,"threshold_uncertainty_score":0.0056486726},"labels":[],"label_agreement":null},{"id":"W4386980873","doi":"10.1007/s00259-023-06435-6","title":"Long-axial field-of-view PET/CT for the assessment of inflammation in calcified coronary artery plaques with [68 Ga]Ga-DOTA-TOC","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","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":"BC Cancer Agency","funders":"National Cancer Institute; University of Bern","keywords":"Medicine; Coronary arteries; DOTA; Artery; Nuclear medicine; Myocardial infarction; Radiology; Internal medicine; In vivo","score_opus":0.017634084762602645,"score_gpt":0.3083958701634257,"score_spread":0.29076178540082304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386980873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372053,0.0034885842,0.0012969521,0.000041606072,0.000005158213,0.00004601957,0.00011553639,0.000026764323,0.0012588119],"genre_scores_gemma":[0.99739504,0.0007843906,0.0014820555,0.00003354864,0.000008409762,0.000024322739,0.00011419429,0.0000043140185,0.00015372912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998871,0.00004993285,0.0000146965795,0.000017459279,0.000013940594,0.000016840748],"domain_scores_gemma":[0.99973625,0.000086930006,0.000072604824,0.000026895164,0.000036511028,0.000040844774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006266844,0.00026923622,0.00025792033,0.00077421777,0.00020238456,0.00029342878,0.00020207585,0.00035791472,0.001389446],"category_scores_gemma":[0.0007650641,0.00024392376,0.00017646728,0.0003415439,0.00023356215,0.00028791497,0.00016529398,0.00018636361,0.00044822204],"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":[0.0026712404,0.00018761402,0.8928966,0.000158034,0.00006687421,0.005649439,0.0001568245,0.0004986871,0.07612855,0.00007922325,0.00034526474,0.021161612],"study_design_scores_gemma":[0.00015388943,0.0028321429,0.91898245,0.000079099074,0.00019821376,0.058229744,0.00025872397,0.0036896265,0.013826708,0.00010281675,0.0016086849,0.00003795425],"about_ca_topic_score_codex":0.00060497544,"about_ca_topic_score_gemma":0.0007736827,"teacher_disagreement_score":0.001389446,"about_ca_system_score_codex":0.0001616606,"about_ca_system_score_gemma":0.00014555552,"threshold_uncertainty_score":0.004648149},"labels":[],"label_agreement":null},{"id":"W4388348399","doi":"10.1007/s00259-023-06484-x","title":"CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Yale University","keywords":"Medicine; Internal medicine; Cardiology; Mace; Myocardial infarction; Percutaneous coronary intervention","score_opus":0.008816933922789106,"score_gpt":0.2532942563446462,"score_spread":0.2444773224218571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388348399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937163,0.0016236868,0.0024821933,0.00031804584,0.000044920253,0.000013157677,0.00014191358,0.00008374067,0.0015761275],"genre_scores_gemma":[0.99750996,0.0003258818,0.0013883983,0.00006996652,0.0000466483,0.000005304334,0.0001742971,0.000027518221,0.0004520278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989593,0.000042202075,0.0000092888495,0.000017537799,0.000020416934,0.0000146928405],"domain_scores_gemma":[0.99956435,0.00020045893,0.00008726938,0.00003249402,0.000057232548,0.00005824071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046973152,0.0006545771,0.0004438543,0.00032285484,0.00013437645,0.0005800931,0.00020770736,0.00044700468,0.0013442112],"category_scores_gemma":[0.0017654535,0.00019940033,0.00030539843,0.00018922293,0.00012892338,0.00029454852,0.00028147158,0.0005337951,0.00026199967],"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":[0.011022398,0.00067803485,0.80264413,0.0001788049,0.00055313756,0.0015922205,0.00014843492,0.004737669,0.035942245,0.00034466697,0.001851961,0.14030631],"study_design_scores_gemma":[0.0003704575,0.0018890431,0.9375536,0.00013165516,0.00093055237,0.0030653337,0.0002156129,0.043907456,0.00859579,0.0007817472,0.002501267,0.000057474273],"about_ca_topic_score_codex":0.001039573,"about_ca_topic_score_gemma":0.001805805,"teacher_disagreement_score":0.0013442112,"about_ca_system_score_codex":0.00012572871,"about_ca_system_score_gemma":0.00016972734,"threshold_uncertainty_score":0.004496813},"labels":[],"label_agreement":null},{"id":"W4388670002","doi":"10.1007/s00259-023-06486-9","title":"The evidence-based role of catecholaminergic PET tracers in Neuroblastoma. A systematic review and a head-to-head comparison with mIBG scintigraphy","year":2023,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroblastoma Research and Treatments","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":"Hospital for Sick Children","funders":"","keywords":"Medicine; Nuclear medicine; Scintigraphy; Catecholaminergic; Pet imaging; Head and neck; Neuroblastoma; Radiology; Positron emission tomography; Medical physics; Internal medicine; Dopamine; Surgery","score_opus":0.05454074397329154,"score_gpt":0.3618219696006346,"score_spread":0.30728122562734306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388670002","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018039842,0.99667007,0.000110449415,0.00016956643,0.00012153654,0.00031831476,0.00053443556,0.000006792774,0.00026491063],"genre_scores_gemma":[0.020847932,0.97667956,0.000629173,0.0005142796,0.0001459135,0.0006197829,0.0004275568,0.00000662956,0.00012921599],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.993111,0.0015694933,0.003572159,0.000557094,0.0010181167,0.0001721032],"domain_scores_gemma":[0.97024924,0.019153947,0.007081914,0.00039267982,0.0028086724,0.00031357916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007146381,0.0015042044,0.009778809,0.025709657,0.0007177629,0.0026810353,0.0017981611,0.0018975169,0.0049492912],"category_scores_gemma":[0.02582604,0.00089969835,0.0062552663,0.02034452,0.0011023848,0.0025352244,0.0014365427,0.00071943464,0.0004303761],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023674568,0.000013490141,0.0012394908,0.9691068,0.005706894,0.00013419536,0.000106387124,0.000048266626,0.00026194018,0.00009937833,0.0005751385,0.02247122],"study_design_scores_gemma":[0.0003056579,0.0003416134,0.007916142,0.88161767,0.094176315,0.0007628989,0.00036587205,0.000102316626,0.00027488204,0.00023247606,0.013859847,0.000044309294],"about_ca_topic_score_codex":0.0054877936,"about_ca_topic_score_gemma":0.014809313,"teacher_disagreement_score":0.025709657,"about_ca_system_score_codex":0.003191841,"about_ca_system_score_gemma":0.008215438,"threshold_uncertainty_score":0.037794113},"labels":[],"label_agreement":null},{"id":"W4389738134","doi":"10.1007/s00259-023-06516-6","title":"The clinical acceptability of short versus long duration acquisitions for head and neck cancer using long-axial field-of-view PET/CT: a retrospective evaluation","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","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":"BC Cancer Agency","funders":"University of Bern","keywords":"Medicine; Nuclear medicine; Head and neck cancer; Head and neck; Radiology; Gold standard (test); Retrospective cohort study; Surgery; Radiation therapy","score_opus":0.09338698235038098,"score_gpt":0.45352999887431256,"score_spread":0.36014301652393155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389738134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985928,0.00060717517,0.0002799773,0.000011181845,0.0000035866271,0.000025936459,0.00013153344,0.0000033673198,0.00034435545],"genre_scores_gemma":[0.9995129,0.00011375997,0.00014388384,0.000011659033,0.000008915588,0.000021468797,0.00014237378,0.000002909856,0.000042234453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99561334,0.0017400363,0.000916998,0.0006295374,0.0009016843,0.00019845502],"domain_scores_gemma":[0.98071015,0.007422284,0.007842523,0.0010381202,0.002357368,0.00062958384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005506231,0.0002415345,0.00040206168,0.0011255007,0.00028349063,0.0007546865,0.0004253703,0.00045968388,0.0008056356],"category_scores_gemma":[0.014109481,0.00023716064,0.00060437754,0.0009332271,0.00072636054,0.00078462856,0.0007110701,0.00029351437,0.00028119393],"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":[0.00070320343,0.000030827774,0.99526584,0.000031389754,0.00005745228,0.0001842046,0.00011280612,0.000066810375,0.00053435605,0.000010495366,0.000033672142,0.002968955],"study_design_scores_gemma":[0.000010265385,0.00085468753,0.99635077,0.000011591706,0.00007367501,0.0014666286,0.00029491007,0.00030314716,0.00035892727,0.000013714572,0.00025054484,0.000011184203],"about_ca_topic_score_codex":0.0006155813,"about_ca_topic_score_gemma":0.00077434874,"teacher_disagreement_score":0.005506231,"about_ca_system_score_codex":0.0004162482,"about_ca_system_score_gemma":0.00024126981,"threshold_uncertainty_score":0.029120088},"labels":[],"label_agreement":null},{"id":"W4389738425","doi":"10.1007/s00259-023-06546-0","title":"Detection of metabolic adaptation in a triple-negative breast cancer animal model with [18F]choline-PET imaging as a surrogate for drug resistance","year":2023,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; Princess Margaret Cancer Centre; Sinai Health System; University Health Network; University of Toronto; Ontario Institute for Cancer Research; Women's College Hospital","funders":"","keywords":"Taxane; Paclitaxel; Medicine; Triple-negative breast cancer; Breast cancer; Cancer; Pathology; Cancer research; Internal medicine","score_opus":0.010630345767557638,"score_gpt":0.25637130386529117,"score_spread":0.24574095809773353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389738425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801062,0.0017067933,0.014279116,0.00052823435,0.000105151325,0.00015398835,0.0006093088,0.0002273928,0.00228387],"genre_scores_gemma":[0.98132193,0.0013402567,0.009652416,0.00018909157,0.000022661177,0.00032540312,0.00060615496,0.00009404359,0.0064480104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999859,0.000022340715,0.0000059932167,0.000036268615,0.000031515585,0.000044919812],"domain_scores_gemma":[0.9998454,0.000027757073,0.000042850803,0.00002413633,0.000020400976,0.000039416947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004523288,0.00062384893,0.00048534383,0.00045827596,0.00032612844,0.00045124674,0.00041932263,0.00085040246,0.0012765718],"category_scores_gemma":[0.0001845715,0.000312156,0.00035832493,0.0003039565,0.00046507583,0.00039939012,0.00023030833,0.0012750772,0.00030452502],"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":[0.000846248,0.00011957671,0.0002863011,0.00003278152,0.000015913954,0.00013012253,0.00004566672,0.00024224691,0.9965622,0.00018098162,0.00012717274,0.001410827],"study_design_scores_gemma":[0.00010797848,0.0030575746,0.004246321,0.000015100585,0.00013275881,0.0010165588,0.000116137344,0.005572233,0.982074,0.00017868467,0.0034562557,0.000026439771],"about_ca_topic_score_codex":0.0027851677,"about_ca_topic_score_gemma":0.0039782054,"teacher_disagreement_score":0.0027851677,"about_ca_system_score_codex":0.0005545296,"about_ca_system_score_gemma":0.0004470401,"threshold_uncertainty_score":0.0055378675},"labels":[],"label_agreement":null},{"id":"W4391116613","doi":"10.1007/s00259-024-06611-2","title":"Downward myocardial creep during stress PET imaging is inversely associated with mortality","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; Cedars-Sinai Medical Center","keywords":"Medicine; Creep; Stress (linguistics); Internal medicine; Nuclear medicine; Cardiology; Materials science; Metallurgy","score_opus":0.011684866455569242,"score_gpt":0.25302362788847166,"score_spread":0.24133876143290242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391116613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840635,0.00051386736,0.00051925937,0.000055237906,0.000009386768,0.0000042292736,0.0001300679,0.000017968749,0.00034361656],"genre_scores_gemma":[0.99940693,0.00010227509,0.00016495134,0.000015424377,0.000021060478,0.000004356308,0.00016770385,0.0000049594605,0.00011233085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979144,0.00006253706,0.000027917697,0.000038112164,0.000043635468,0.00003642783],"domain_scores_gemma":[0.9975446,0.00047863982,0.0013663537,0.0001715753,0.00025576496,0.00018307938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039628457,0.0003151835,0.0002953243,0.00037799415,0.00014199183,0.00042361653,0.00013294593,0.0003821713,0.0008992176],"category_scores_gemma":[0.003291723,0.00013895759,0.00029122594,0.0003195193,0.00016654587,0.00022087891,0.00024409918,0.00032727214,0.00019403454],"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":[0.00051060953,0.000021669139,0.98888016,0.000019873762,0.000067553745,0.00017209486,0.00003625905,0.00022225347,0.004163211,0.000019106687,0.00011862418,0.005768507],"study_design_scores_gemma":[0.0000053403637,0.0001538908,0.9973067,0.000008709755,0.000040465846,0.0008248984,0.000031480347,0.0008359022,0.00056039135,0.000042575404,0.0001852364,0.000004371574],"about_ca_topic_score_codex":0.00048259483,"about_ca_topic_score_gemma":0.0006183196,"teacher_disagreement_score":0.0008992176,"about_ca_system_score_codex":0.00012629839,"about_ca_system_score_gemma":0.00011742481,"threshold_uncertainty_score":0.0030081868},"labels":[],"label_agreement":null},{"id":"W4391227453","doi":"10.1007/s00259-024-06618-9","title":"Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry and Applications","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":"Université Laval; University of British Columbia","funders":"H2020 Euratom; Université de Genève","keywords":"Dosimetry; Medicine; Nuclear medicine; Radionuclide therapy; Medical physics; Radiology","score_opus":0.03228919755706346,"score_gpt":0.32240703480697225,"score_spread":0.2901178372499088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391227453","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063548505,0.00042419333,0.93093574,0.00031564134,0.00003168388,0.00007113274,0.00022149805,0.0021429555,0.0023086418],"genre_scores_gemma":[0.86905515,0.00028227258,0.12571552,0.0002482417,0.00002009455,0.000096200936,0.0004004739,0.00018467716,0.003997354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988186,0.000026128882,0.0000059405975,0.000031652093,0.000035812653,0.00001857401],"domain_scores_gemma":[0.99983144,0.00005985989,0.00002142926,0.000022098011,0.000049566705,0.00001551495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501205,0.00047997118,0.0004454844,0.0003939607,0.00013324227,0.0005379525,0.0011098523,0.00061393663,0.0014538608],"category_scores_gemma":[0.00077258673,0.00029781903,0.00063957163,0.0003160775,0.00028468945,0.0005161421,0.00081042905,0.0006072061,0.00034955255],"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":[0.00017299323,0.000083765415,0.0011456065,0.00008984224,0.000067626854,0.00013049436,0.000044692486,0.84127855,0.0152072385,0.0026476518,0.0012103859,0.13792117],"study_design_scores_gemma":[0.0000041210433,0.000018374436,0.00010203829,0.0000023138152,0.0000068291806,0.000024282675,0.000003105249,0.99619484,0.002674042,0.0007187574,0.00024777898,0.0000034951368],"about_ca_topic_score_codex":0.0053499555,"about_ca_topic_score_gemma":0.0058749355,"teacher_disagreement_score":0.0053499555,"about_ca_system_score_codex":0.0008445716,"about_ca_system_score_gemma":0.00079794327,"threshold_uncertainty_score":0.010637641},"labels":[],"label_agreement":null},{"id":"W4391648206","doi":"10.1007/s00259-024-06616-x","title":"TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; GE Healthcare","keywords":"Segmentation; Medicine; Voxel; Nuclear medicine; Computer science; Artificial intelligence; Radiology","score_opus":0.010159231511542082,"score_gpt":0.2727730223656349,"score_spread":0.2626137908540928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391648206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82735705,0.0015686257,0.14805818,0.0003775504,0.00013259702,0.0005557364,0.010826125,0.009440552,0.0016835737],"genre_scores_gemma":[0.9029348,0.00028482376,0.07466391,0.00012856808,0.000072800685,0.00029421865,0.018748626,0.0015503502,0.0013219999],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985386,0.0005238573,0.0001328269,0.00050696667,0.00021079672,0.00008692272],"domain_scores_gemma":[0.996956,0.0014687089,0.0003378939,0.0005898985,0.00055265473,0.00009493569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00515909,0.0011343721,0.001019701,0.002521158,0.0005972975,0.0014916649,0.0017527897,0.0010337337,0.0030863774],"category_scores_gemma":[0.009879949,0.0006229244,0.0015735864,0.0013400632,0.0003832936,0.0007762442,0.0014799943,0.0006748356,0.0007386601],"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":[0.009479781,0.0011053763,0.20696214,0.0009589829,0.0075928816,0.0011111927,0.0006946362,0.16172948,0.0317931,0.0019611893,0.026145412,0.5504658],"study_design_scores_gemma":[0.0005311989,0.0008836643,0.14542694,0.000094847426,0.0017737754,0.0027303714,0.0004720204,0.824379,0.013755165,0.0032625175,0.006549343,0.00014107717],"about_ca_topic_score_codex":0.01705215,"about_ca_topic_score_gemma":0.02117672,"teacher_disagreement_score":0.01705215,"about_ca_system_score_codex":0.0007297321,"about_ca_system_score_gemma":0.0009536544,"threshold_uncertainty_score":0.033905804},"labels":[],"label_agreement":null},{"id":"W4391962054","doi":"10.1007/s00259-024-06648-3","title":"Effectiveness of [67Cu]Cu-trastuzumab as a theranostic against HER2-positive breast cancer","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"Institute of Cancer Research","keywords":"Trastuzumab; Internalization; Flow cytometry; Monoclonal antibody; Immunoconjugate; Chemistry; In vitro; Medicine; Breast cancer; Pharmacology; Cancer research; Cancer; Antibody; Receptor; Internal medicine; Immunology; Biochemistry","score_opus":0.011050268542110267,"score_gpt":0.3207989335418847,"score_spread":0.30974866499977444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391962054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98707795,0.007061472,0.0009082167,0.00023100729,0.00015783809,0.00004149323,0.00006036959,0.00012274052,0.004339011],"genre_scores_gemma":[0.9962136,0.0016229186,0.00041270367,0.00006434835,0.000024740406,0.000019761299,0.00006369366,0.00001769605,0.0015605737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998759,0.00003861259,0.000004590278,0.00001829452,0.000017114618,0.000045405595],"domain_scores_gemma":[0.9999505,0.000012841324,0.000008737352,0.0000068666714,0.0000083938985,0.0000127053545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002042822,0.0003100667,0.00051011494,0.00023040871,0.00027286285,0.00040463245,0.000294696,0.0004540356,0.0013005739],"category_scores_gemma":[0.0002131455,0.00013338974,0.00020850403,0.00019171387,0.00023485038,0.00026781278,0.00023842664,0.0003979042,0.00022208282],"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":[0.017094119,0.0020908879,0.0014549663,0.00067633315,0.00028497085,0.00056608074,0.00024530626,0.0039562,0.8586067,0.0014154929,0.0027710753,0.11083792],"study_design_scores_gemma":[0.001978425,0.018863708,0.00577747,0.00007553696,0.0007536291,0.0010684646,0.00015931095,0.011177201,0.93556166,0.00033178198,0.024199609,0.0000532446],"about_ca_topic_score_codex":0.0021145924,"about_ca_topic_score_gemma":0.0018099283,"teacher_disagreement_score":0.0021145924,"about_ca_system_score_codex":0.00028908395,"about_ca_system_score_gemma":0.00047208564,"threshold_uncertainty_score":0.004350841},"labels":[],"label_agreement":null},{"id":"W4392774205","doi":"10.1007/s00259-024-06646-5","title":"FDG imaging with long-axial field-of-view PET/CT in patients with high blood glucose—a matched pair analysis","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","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":"BC Cancer Agency","funders":"University of Bern","keywords":"Medicine; Nuclear medicine; Image quality; Image (mathematics)","score_opus":0.006566368661260477,"score_gpt":0.25403821760198836,"score_spread":0.24747184894072788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392774205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872226,0.00019803383,0.00067016284,0.000014947999,0.000010486134,0.000017142871,0.000073620926,0.0000047274716,0.0002885354],"genre_scores_gemma":[0.9995883,0.000018182267,0.00021708357,0.000007923142,0.0000060001257,0.000007782094,0.0000822198,0.0000021268793,0.000070415444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992204,0.00026017328,0.000060275255,0.00025189435,0.00010754986,0.00009971887],"domain_scores_gemma":[0.9991473,0.00025516402,0.00021924615,0.00013592119,0.00009712516,0.00014528495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010728223,0.0002914759,0.00046845843,0.0010437941,0.0004425995,0.00050557026,0.0003841395,0.00038270888,0.0024950018],"category_scores_gemma":[0.00219591,0.00020017296,0.00064962514,0.00047602877,0.00029749947,0.00034403865,0.00048153196,0.00028501343,0.00031940482],"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":[0.0049369526,0.00018499672,0.98340756,0.000023811579,0.0003490737,0.00056743826,0.0000622612,0.0001863787,0.0030527767,0.00010392906,0.00016815527,0.00695676],"study_design_scores_gemma":[0.00014002234,0.001553097,0.9877243,0.000009798465,0.00037214675,0.0027212405,0.0002947422,0.0046799704,0.0014843829,0.00022974868,0.00077766797,0.000012921176],"about_ca_topic_score_codex":0.0009599536,"about_ca_topic_score_gemma":0.00078134413,"teacher_disagreement_score":0.0024950018,"about_ca_system_score_codex":0.00028840016,"about_ca_system_score_gemma":0.00019883947,"threshold_uncertainty_score":0.008346558},"labels":[],"label_agreement":null},{"id":"W4394764806","doi":"10.1007/s00259-024-06682-1","title":"Dosimetry and pharmacokinetics of [177Lu]Lu-satoreotide tetraxetan in patients with progressive neuroendocrine tumours","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiopharmaceutical Chemistry 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":"Université Laval","funders":"Aarhus Universitetshospital; Ipsen; Aarhus Universitet","keywords":"Dosimetry; Pharmacokinetics; Medicine; Neuroendocrine tumour; Nuclear medicine; Medical physics; Internal medicine","score_opus":0.00799461905524613,"score_gpt":0.2758106798477303,"score_spread":0.26781606079248416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394764806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798536,0.0008416113,0.0006295003,0.000027109829,0.0000039678234,0.000019222794,0.0000530303,0.00002558537,0.00041462612],"genre_scores_gemma":[0.9988451,0.00020437701,0.0005328049,0.000031399464,0.0000053859053,0.000023993683,0.000096392556,0.000010828732,0.00024975208],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998259,0.00008406948,0.000008506164,0.000032013846,0.000032860444,0.00001670427],"domain_scores_gemma":[0.9998079,0.00006500774,0.000058021033,0.00002361661,0.000016151058,0.000029199748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485983,0.0002717527,0.0006242629,0.00015248585,0.00013059584,0.00025325123,0.00015141729,0.00022894435,0.0005904734],"category_scores_gemma":[0.0006107032,0.0002092892,0.0002773418,0.00016276496,0.00024492492,0.00021029335,0.00013266518,0.00036836203,0.00018146964],"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":[0.036630154,0.0012975772,0.15231252,0.00032230906,0.0004599442,0.0007370042,0.0006744928,0.020190595,0.67811346,0.00021059174,0.0006419394,0.108409375],"study_design_scores_gemma":[0.004150866,0.12759644,0.65740854,0.000036840745,0.00087400526,0.0037760646,0.0003049698,0.029580874,0.1685655,0.0003144622,0.007322725,0.00006868162],"about_ca_topic_score_codex":0.000993256,"about_ca_topic_score_gemma":0.0011614662,"teacher_disagreement_score":0.000993256,"about_ca_system_score_codex":0.0005055296,"about_ca_system_score_gemma":0.0002433066,"threshold_uncertainty_score":0.0036679506},"labels":[],"label_agreement":null},{"id":"W4396773639","doi":"10.1007/s00259-024-06722-w","title":"Imaging CAR-NK cells targeted to HER2 ovarian cancer with human sodium-iodide symporter-based positron emission tomography","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; Ontario Institute for Cancer Research; Lawson Health Research Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Ontario Institute for Cancer Research","keywords":"Sodium-iodide symporter; Bioluminescence imaging; Chimeric antigen receptor; Ovarian cancer; Cancer research; Reporter gene; Positron emission tomography; Medicine; Chemistry; Cell culture; Cancer; Immunotherapy; Luciferase; Biology; Internal medicine; Symporter; Transfection; Nuclear medicine","score_opus":0.010964798856070922,"score_gpt":0.2805226611097397,"score_spread":0.2695578622536688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396773639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98331994,0.0013316203,0.01337931,0.00008792274,0.0000094903135,0.000034140066,0.00010865616,0.00011973992,0.0016090978],"genre_scores_gemma":[0.9864575,0.0008575817,0.010403656,0.000030428273,0.0000048502225,0.000040420666,0.00013571953,0.000022373795,0.002047533],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999486,0.000014875499,0.0000024116678,0.000011230651,0.000010922138,0.000011886979],"domain_scores_gemma":[0.9999715,0.000008046462,0.000007953758,0.0000032766382,0.0000047912918,0.000004422818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016403319,0.00022032994,0.0002038868,0.0001420804,0.00005417001,0.0002521776,0.00018869793,0.00027020054,0.00075290643],"category_scores_gemma":[0.00007207075,0.0001435536,0.0001465218,0.000103894825,0.0001259226,0.00023872533,0.00013450361,0.00019686003,0.00016455831],"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":[0.0001078344,0.000018476549,0.00039777043,0.00003578597,0.0000055724076,0.00007151208,0.000012112895,0.00046486207,0.99721503,0.00008610322,0.000045929424,0.0015390123],"study_design_scores_gemma":[0.000028528058,0.00038034367,0.0027883744,0.000004694651,0.000025047251,0.0006741531,0.00003262708,0.00917107,0.9845548,0.00004246568,0.0022916878,0.0000062312047],"about_ca_topic_score_codex":0.00092325365,"about_ca_topic_score_gemma":0.00081173866,"teacher_disagreement_score":0.00092325365,"about_ca_system_score_codex":0.00025865814,"about_ca_system_score_gemma":0.00015906745,"threshold_uncertainty_score":0.0025187135},"labels":[],"label_agreement":null},{"id":"W4396973399","doi":"10.1007/s00259-024-06733-7","title":"FAPI PET uptake patterns after invasive medical interventions: a single center retrospective analysis","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Center (category theory); Single Center; Nuclear medicine; Retrospective cohort study; PET-CT; Positron emission tomography; Medical physics; Radiology; Internal medicine; Chemistry","score_opus":0.016111331260204007,"score_gpt":0.2829039378925881,"score_spread":0.2667926066323841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396973399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920267,0.00024641602,0.00021575674,0.000008237636,0.0000024201336,0.000006915978,0.0000952674,0.0000030318793,0.00021942878],"genre_scores_gemma":[0.9993899,0.00011432464,0.000096169504,0.00001885264,0.000008329999,0.0000049524,0.00025835124,0.000005950588,0.0001032132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951196,0.000063460946,0.00006562752,0.00020842861,0.00005868345,0.00009175343],"domain_scores_gemma":[0.99917847,0.00016804089,0.00029187807,0.00015049722,0.00010397621,0.00010719914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038472406,0.00038666543,0.0006519926,0.00078309985,0.00044236582,0.0008699449,0.00031947545,0.000492513,0.0012706601],"category_scores_gemma":[0.001005208,0.0005590392,0.00061178475,0.000922613,0.00054891146,0.0005633018,0.0004352906,0.0003559396,0.00039615238],"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":[0.0005140436,0.000083061466,0.99237484,0.00001827572,0.00015849831,0.0023296853,0.00014940774,0.000058682475,0.0013791837,0.00003318869,0.00008201419,0.002819171],"study_design_scores_gemma":[0.000020363976,0.00051184895,0.9880796,0.000011480601,0.00023743788,0.009152833,0.0004875704,0.00030014358,0.00058522285,0.000045616733,0.000546297,0.000021591015],"about_ca_topic_score_codex":0.0013268213,"about_ca_topic_score_gemma":0.0012991929,"teacher_disagreement_score":0.0013268213,"about_ca_system_score_codex":0.0003168514,"about_ca_system_score_gemma":0.0003236018,"threshold_uncertainty_score":0.004250765},"labels":[],"label_agreement":null},{"id":"W4402782739","doi":"10.1007/s00259-024-06912-6","title":"Updated practice guideline for dual-energy X-ray absorptiometry (DXA)","year":2024,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":103,"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; Brantford Energy (Canada); Women's College Hospital; McMaster University","funders":"International Osteoporosis Foundation; European Society of Musculoskeletal Radiology; American Society for Bone and Mineral Research; Medical Research Council; Radiological Society of North America","keywords":"Guideline; Dual-energy X-ray absorptiometry; Medical physics; Clinical Practice; Medicine; Osteoporosis; Bone mineral; Dual energy; Physical therapy; Pathology","score_opus":0.04770325615046314,"score_gpt":0.4056442009230345,"score_spread":0.3579409447725713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402782739","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005944833,0.9459863,0.0058424477,0.019198475,0.004595693,0.0007434047,0.004819896,0.0004285191,0.01779081],"genre_scores_gemma":[0.004195292,0.9157985,0.03638537,0.014295464,0.001401825,0.001638094,0.011207816,0.00010868655,0.014968994],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976029,0.0006177369,0.00067205995,0.00018496723,0.000814951,0.000107454434],"domain_scores_gemma":[0.9969428,0.00095420325,0.00048517788,0.00006893697,0.0014330981,0.00011575384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002887146,0.0011010875,0.001883462,0.0050391126,0.00041162866,0.0014188524,0.0032629117,0.0038000944,0.011068897],"category_scores_gemma":[0.0060821185,0.0005276926,0.002461673,0.0036896737,0.0005662342,0.001174349,0.0010291561,0.0030018475,0.0086809285],"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":[0.00011128362,0.00009613799,0.00037310497,0.022158032,0.00015649192,0.00039896418,0.00015242974,0.00039849686,0.0008529962,0.004559796,0.44758812,0.5231541],"study_design_scores_gemma":[0.00009918004,0.000044998826,0.0014439648,0.020191198,0.00027315156,0.001263956,0.0000646008,0.00015551469,0.00019426788,0.0019929754,0.9742485,0.000027665317],"about_ca_topic_score_codex":0.008717707,"about_ca_topic_score_gemma":0.012276073,"teacher_disagreement_score":0.011068897,"about_ca_system_score_codex":0.0017075448,"about_ca_system_score_gemma":0.005355462,"threshold_uncertainty_score":0.037029207},"labels":[],"label_agreement":null},{"id":"W4403276884","doi":"10.1007/s00259-024-06938-w","title":"Spiral volumetric optoacoustic tomography of reduced oxygen saturation in the spinal cord of M83 mouse model of Parkinson’s disease","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Optical Imaging and Spectroscopy Techniques","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":"Polytechnique Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Universität Zürich; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Spinal cord; Ex vivo; Medicine; Magnetic resonance imaging; Pathology; Preclinical imaging; In vivo; Anatomy; Radiology; Biology","score_opus":0.01964177145799362,"score_gpt":0.30004180500017436,"score_spread":0.28040003354218074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403276884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98526925,0.00065352226,0.011654472,0.00014718568,0.000019298683,0.000049309398,0.00096801034,0.0003123424,0.00092671707],"genre_scores_gemma":[0.9866354,0.000723608,0.009645407,0.00008364493,0.0000053944664,0.00010402992,0.0008286501,0.000054115455,0.0019197518],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999026,0.0000105224535,0.000009080469,0.000027776774,0.000032002474,0.000018091523],"domain_scores_gemma":[0.99982953,0.000012584152,0.00008069637,0.0000117257605,0.000036178968,0.00002914657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024103209,0.0004722,0.00030275134,0.00062265765,0.00014082318,0.0002501326,0.00018972393,0.00045095585,0.0008368483],"category_scores_gemma":[0.00012426707,0.00025174613,0.00026324988,0.0002597351,0.00029964288,0.00019438396,0.00017058628,0.0005800585,0.00017251546],"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":[0.00022888208,0.00004395734,0.00075860415,0.00004763168,0.000014884716,0.00020858223,0.000026906588,0.00045726044,0.9959747,0.000054749064,0.00008994079,0.0020939442],"study_design_scores_gemma":[0.00007926438,0.0020549728,0.059878375,0.00006952844,0.00018557547,0.0038537725,0.00013440766,0.01842093,0.91308314,0.00034807844,0.0018534033,0.00003861479],"about_ca_topic_score_codex":0.0014130265,"about_ca_topic_score_gemma":0.0022580535,"teacher_disagreement_score":0.0014130265,"about_ca_system_score_codex":0.00033207328,"about_ca_system_score_gemma":0.00022972608,"threshold_uncertainty_score":0.0028096437},"labels":[],"label_agreement":null},{"id":"W4403297724","doi":"10.1007/s00259-024-06915-3","title":"EANM/SNMMI guideline/procedure standard for [18F]FDG hybrid PET use in infection and inflammation in adults v2.0","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Infectious Diseases and Tuberculosis","field":"Medicine","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":"Montreal Heart Institute; McGill University; Jewish General Hospital","funders":"Society of Nuclear Medicine and Molecular Imaging","keywords":"Guideline; Medicine; Medical physics; Nuclear medicine; Pathology","score_opus":0.008122016879222657,"score_gpt":0.2628632805665295,"score_spread":0.2547412636873069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403297724","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058734994,0.72151715,0.04712098,0.073019564,0.011177009,0.025786959,0.039845,0.0026603048,0.07299958],"genre_scores_gemma":[0.040296096,0.51133907,0.27549258,0.04253548,0.0045667756,0.046893246,0.057668924,0.0015537093,0.019654095],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97652185,0.007197062,0.009876317,0.0008265645,0.005030273,0.0005478856],"domain_scores_gemma":[0.9666222,0.009944605,0.0072434493,0.0012725306,0.014258192,0.00065910857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019103143,0.0016670148,0.0047275885,0.010329995,0.0011206334,0.00460295,0.005545177,0.00568574,0.009215141],"category_scores_gemma":[0.059321508,0.0012739773,0.00923782,0.006524446,0.0016098637,0.0026419067,0.003358648,0.004110751,0.008879052],"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":[0.0008191595,0.00018974951,0.0051208655,0.15173218,0.0021476129,0.0008492426,0.0007623525,0.0012894485,0.0028018595,0.007524462,0.40029067,0.4264724],"study_design_scores_gemma":[0.000874031,0.00027189968,0.009446191,0.26651344,0.0039919377,0.0018399032,0.00037506717,0.0008777582,0.0019801743,0.009096172,0.70454335,0.00019000746],"about_ca_topic_score_codex":0.009527394,"about_ca_topic_score_gemma":0.011247848,"teacher_disagreement_score":0.019103143,"about_ca_system_score_codex":0.003774332,"about_ca_system_score_gemma":0.014893499,"threshold_uncertainty_score":0.10102826},"labels":[],"label_agreement":null},{"id":"W4403416001","doi":"10.1007/s00259-024-06944-y","title":"PET/CT imaging of differentiated and medullary thyroid carcinoma using the novel SSTR-targeting peptide [18F]SiTATE – first clinical experiences","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","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 Alberta","funders":"","keywords":"Medicine; Calcitonin; Nuclear medicine; Thyroid carcinoma; Thyroid cancer; Medullary cavity; Thyroid; Standardized uptake value; Medullary thyroid cancer; PET-CT; Pathology; Positron emission tomography; Internal medicine","score_opus":0.031808628849369594,"score_gpt":0.33144056516349946,"score_spread":0.2996319363141299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403416001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958905,0.0020962125,0.00066858396,0.0000471756,0.0000050945855,0.00004004333,0.00006829611,0.000013831322,0.0011701735],"genre_scores_gemma":[0.9982482,0.0007204096,0.00065929256,0.00004609414,0.000021651369,0.000010816443,0.000120968885,0.0000048996094,0.00016768285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997476,0.00009494384,0.00002476529,0.00004938811,0.00004501099,0.000038231858],"domain_scores_gemma":[0.99969316,0.00011224543,0.000031418807,0.000049832033,0.00005442565,0.00005883329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094197766,0.00044138206,0.00031788315,0.00037760372,0.00024929835,0.0004053442,0.0002719598,0.0003757589,0.0004856495],"category_scores_gemma":[0.0012394128,0.0002768816,0.00032897358,0.0003151901,0.00042652592,0.00024470573,0.0002662884,0.00030092717,0.00025376945],"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":[0.008701429,0.0014553873,0.73266995,0.00026828103,0.00029055163,0.020462172,0.0016600144,0.0011866903,0.12599576,0.00026829715,0.0007676655,0.10627382],"study_design_scores_gemma":[0.00065829273,0.011880388,0.83986866,0.00007603886,0.0003322582,0.09637776,0.0008171268,0.0033518402,0.039682705,0.00028817102,0.0065733013,0.000093480514],"about_ca_topic_score_codex":0.001608304,"about_ca_topic_score_gemma":0.0012077327,"teacher_disagreement_score":0.001608304,"about_ca_system_score_codex":0.00039903962,"about_ca_system_score_gemma":0.00019873143,"threshold_uncertainty_score":0.0049816966},"labels":[],"label_agreement":null},{"id":"W4403954888","doi":"10.1007/s00259-024-06921-5","title":"Long-axial field-of-view PET/CT improves radiomics feature reliability","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia; Spinal Cord Injury BC","funders":"","keywords":"Radiomics; Nuclear medicine; Medicine; Feature (linguistics); Medical physics; Reliability (semiconductor); Field (mathematics); Radiology; Physics; Mathematics","score_opus":0.006362928695201583,"score_gpt":0.27677006489470957,"score_spread":0.27040713619950796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403954888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45437372,0.010427435,0.51001143,0.0015511761,0.0003016119,0.0001441905,0.0029876227,0.011320728,0.008882041],"genre_scores_gemma":[0.8878282,0.0014866769,0.104179054,0.0004266928,0.00020391076,0.000043072523,0.0021128387,0.0022335676,0.0014859369],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99925774,0.00025791756,0.00008098417,0.00015327436,0.00018627437,0.00006378577],"domain_scores_gemma":[0.9927274,0.004215951,0.00059318094,0.0008487283,0.0014501701,0.00016464932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023149378,0.0010109065,0.0008637297,0.0015260573,0.0002673589,0.0014890246,0.00055871607,0.0017128591,0.0033873566],"category_scores_gemma":[0.009304504,0.0006078939,0.0007308895,0.00064208434,0.00031527516,0.0012447656,0.00087655283,0.0007877188,0.0017752901],"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":[0.0062327352,0.0002441702,0.0796546,0.0013934952,0.00085364416,0.0013385582,0.0003836522,0.06084354,0.35425475,0.0011723405,0.008904349,0.48472413],"study_design_scores_gemma":[0.00031511235,0.0011974258,0.2278765,0.00035147608,0.003252694,0.012830592,0.00039289758,0.45567536,0.26578954,0.0056476016,0.026301702,0.0003691688],"about_ca_topic_score_codex":0.0012788506,"about_ca_topic_score_gemma":0.0021063806,"teacher_disagreement_score":0.0033873566,"about_ca_system_score_codex":0.00022561502,"about_ca_system_score_gemma":0.0003407547,"threshold_uncertainty_score":0.012242734},"labels":[],"label_agreement":null},{"id":"W4404642852","doi":"10.1007/s00259-024-06987-1","title":"EANM perspective on clinical PET and SPECT imaging in schizophrenia-spectrum disorders: a systematic review of longitudinal studies","year":2024,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":7,"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":"Centre hospitalier régional universitaire de Lille","keywords":"Schizophrenia (object-oriented programming); Medicine; Schizophrenia spectrum; Medical physics; Spect imaging; Perspective (graphical); Pet imaging; Positron emission tomography; Molecular imaging; Nuclear medicine; Psychiatry; Psychosis; Computer science","score_opus":0.06492827578564056,"score_gpt":0.42236490280454975,"score_spread":0.3574366270189092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404642852","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004028835,0.9981431,0.000119780576,0.0005085421,0.00014321113,0.00021986481,0.0003225328,0.0000066223815,0.00013336529],"genre_scores_gemma":[0.011020917,0.9850723,0.0009320931,0.0013131845,0.00015211331,0.0010329537,0.00033740568,0.000008255343,0.00013074215],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98412836,0.006302963,0.0059867464,0.0011199609,0.002000175,0.00046189252],"domain_scores_gemma":[0.9258321,0.051743083,0.013578661,0.0013483943,0.006767675,0.0007300906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024558648,0.0020257381,0.012149774,0.018458204,0.0006906771,0.0036373308,0.0022733784,0.0027518077,0.0062450455],"category_scores_gemma":[0.07545087,0.0015182825,0.01020957,0.01383418,0.0012090949,0.0038262825,0.002678256,0.0015111904,0.0005026627],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018942208,0.00000852008,0.0005227533,0.9672272,0.008838144,0.00006644156,0.00011235641,0.00006550417,0.0001390812,0.00023608585,0.0010866005,0.0215078],"study_design_scores_gemma":[0.00017142246,0.00014032546,0.0025891883,0.93797505,0.046013635,0.00018217361,0.00017965742,0.00004462356,0.000069641974,0.00033095622,0.01227988,0.000023464783],"about_ca_topic_score_codex":0.009224332,"about_ca_topic_score_gemma":0.027689295,"teacher_disagreement_score":0.024558648,"about_ca_system_score_codex":0.0054534967,"about_ca_system_score_gemma":0.016549,"threshold_uncertainty_score":0.12988007},"labels":[],"label_agreement":null},{"id":"W4404984759","doi":"10.1007/s00259-024-07011-2","title":"Preclinical safety and effectiveness of a long-acting somatostatin analogue [225Ac]Ac-EBTATE against small cell lung cancer and pancreatic neuroendocrine tumors","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal University Hospital; Université Laval; University of Saskatchewan","funders":"","keywords":"Biodistribution; Medicine; Somatostatin receptor 2; Pharmacokinetics; Somatostatin receptor; Neuroendocrine tumors; Internal medicine; Radionuclide therapy; Somatostatin; Radioligand; Octreotide; Endocrinology; Pharmacology; Receptor; Biology; In vivo","score_opus":0.016936122211568046,"score_gpt":0.3281207674784843,"score_spread":0.31118464526691625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404984759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586535,0.0018983667,0.00045991194,0.00015450084,0.00008165649,0.00013529461,0.00030879205,0.00004331742,0.00105276],"genre_scores_gemma":[0.996729,0.0009720216,0.00032169983,0.00005295374,0.00006232993,0.000067170404,0.0005536757,0.000016969381,0.0012241981],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994325,0.00026563677,0.00004057148,0.00006120814,0.00006492554,0.00013507098],"domain_scores_gemma":[0.9991254,0.00025767912,0.00015965578,0.000107364205,0.000089681685,0.00026029197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091206253,0.00061180687,0.00078761566,0.00052275247,0.0003110725,0.0007041311,0.00078105304,0.00081890414,0.0025986913],"category_scores_gemma":[0.0008370892,0.0004206161,0.00075921643,0.0003011614,0.00094176765,0.0008001693,0.00019208458,0.0018899812,0.0005764417],"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":[0.17227559,0.03195242,0.002316169,0.00045651323,0.0004965841,0.00050655723,0.0003097215,0.0037721803,0.7442475,0.00060856214,0.0011130957,0.041945133],"study_design_scores_gemma":[0.014236921,0.6022137,0.009051511,0.000040529612,0.00071264524,0.00082776695,0.0002521099,0.0030418904,0.3652539,0.00022417409,0.0040974705,0.000047385496],"about_ca_topic_score_codex":0.0018493659,"about_ca_topic_score_gemma":0.0017588934,"teacher_disagreement_score":0.0025986913,"about_ca_system_score_codex":0.0005701429,"about_ca_system_score_gemma":0.00087735587,"threshold_uncertainty_score":0.008693516},"labels":[],"label_agreement":null},{"id":"W4405809719","doi":"10.1007/s00259-024-07021-0","title":"Three-dimensional spatial localization and volume estimation of prostate tumors using 18F-PSMA-1007 PET/CT versus multiparametric MRI","year":2024,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology; Prostate Cancer Canada; University of Calgary; University of Alberta","funders":"Royal Alexandra Hospital Foundation; Canadian Urological Association","keywords":"Medicine; Prostate cancer; Nuclear medicine; Magnetic resonance imaging; McNemar's test; Histopathology; Prostatectomy; Positron emission tomography; Prostate; Multiparametric MRI; Radiology; Cancer; Pathology; Internal medicine","score_opus":0.01707765304954219,"score_gpt":0.27475741206745763,"score_spread":0.25767975901791546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405809719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944998,0.0005200157,0.004061025,0.000035297548,0.000018147543,0.000041603296,0.00016871284,0.000045992012,0.00060938584],"genre_scores_gemma":[0.9969222,0.00006677047,0.0026097584,0.000016236976,0.000010950471,0.000023942905,0.00010815254,0.000009753094,0.00023220593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933416,0.00034885603,0.000033493674,0.00013302467,0.000121255,0.000029131324],"domain_scores_gemma":[0.998884,0.00037547806,0.0003678431,0.00017035524,0.00012389649,0.0000785251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018935095,0.00038858678,0.00035077217,0.00031916008,0.000108917375,0.0006444234,0.00031023673,0.00034628066,0.0012856789],"category_scores_gemma":[0.00275655,0.00031780495,0.00034228447,0.00012716666,0.00020864602,0.00040209558,0.0003103941,0.00024389818,0.00033182232],"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":[0.056848515,0.0013228579,0.6078321,0.00037413475,0.0015962588,0.00018234758,0.00029555455,0.01175992,0.14190035,0.0004102539,0.0009920526,0.17648569],"study_design_scores_gemma":[0.0020091238,0.01128514,0.85715103,0.000046657802,0.0010870163,0.00091806526,0.00017412358,0.06729475,0.057512347,0.00063238246,0.00175671,0.00013267307],"about_ca_topic_score_codex":0.0005573173,"about_ca_topic_score_gemma":0.0014941641,"teacher_disagreement_score":0.0018935095,"about_ca_system_score_codex":0.00018153369,"about_ca_system_score_gemma":0.0001791914,"threshold_uncertainty_score":0.010013938},"labels":[],"label_agreement":null},{"id":"W4405822256","doi":"10.1007/s00259-024-07050-9","title":"Dual-energy x-ray absorptiometry (DXA) in practice: a clinical centre survey endorsed by the European Association of Nuclear Medicine (EANM)","year":2024,"lang":"en","type":"editorial","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Medical physics; Nuclear medicine; Clinical Practice; Dual-energy X-ray absorptiometry; Family medicine; Internal medicine; Osteoporosis","score_opus":0.020152532662794705,"score_gpt":0.35112042600158505,"score_spread":0.33096789333879034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405822256","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015318763,0.009802022,0.00015730929,0.051825713,0.93706065,0.000039608753,0.0001909528,0.000035971778,0.00073458045],"genre_scores_gemma":[0.0010337409,0.009918548,0.00030837752,0.042674657,0.94271827,0.000081029175,0.00012249751,0.000038113165,0.0031048062],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98783225,0.0030237648,0.0024740659,0.001119038,0.0050966437,0.00045427773],"domain_scores_gemma":[0.9259162,0.04052015,0.0040754587,0.0012751512,0.023554096,0.0046589742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021828827,0.0028269137,0.004811974,0.004387906,0.0023059456,0.008296545,0.003041764,0.0145685505,0.003859266],"category_scores_gemma":[0.05764871,0.0016508295,0.002574518,0.003099747,0.0023329074,0.0032255459,0.0012902674,0.017221201,0.0036649588],"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":[0.000092313225,0.00003559596,0.00033129714,0.00079691526,0.00008661669,0.00011567591,0.000029720159,0.000023668237,0.000041552677,0.00016646848,0.99025565,0.008024552],"study_design_scores_gemma":[0.00049945555,0.00016520967,0.00700615,0.0043642255,0.0007915191,0.000669104,0.00029682065,0.00039693885,0.00022317424,0.0009734129,0.9845338,0.000080278536],"about_ca_topic_score_codex":0.004041268,"about_ca_topic_score_gemma":0.010482793,"teacher_disagreement_score":0.021828827,"about_ca_system_score_codex":0.0036018793,"about_ca_system_score_gemma":0.0059605064,"threshold_uncertainty_score":0.11544329},"labels":[],"label_agreement":null},{"id":"W4407797489","doi":"10.1007/s00259-025-07145-x","title":"Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Université de Genève; Shaheed Rajaei Cardiovascular Medical and Research Center; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Coronary artery disease; CAD; Myocardial perfusion imaging; Artificial intelligence; Single-photon emission computed tomography; Receiver operating characteristic; Medicine; Deep learning; Computer science; Radiology; Nuclear medicine; Machine learning; Internal medicine","score_opus":0.017208758255132395,"score_gpt":0.27510247469544463,"score_spread":0.2578937164403122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407797489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8632456,0.023588782,0.10593972,0.0018914293,0.00010531079,0.00013546711,0.0004835976,0.00044468648,0.0041654226],"genre_scores_gemma":[0.9853902,0.0028230173,0.010267005,0.00016942676,0.00006365263,0.000043656164,0.00062273245,0.000024998979,0.0005953565],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995334,0.00018694444,0.0000305448,0.000099918536,0.0000958129,0.000053490032],"domain_scores_gemma":[0.9980155,0.0013199364,0.00012337462,0.00014383336,0.00029801027,0.00009927289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025958726,0.0009902116,0.0006681656,0.0011216054,0.00019930206,0.0008123782,0.0007279692,0.00075506046,0.00052665325],"category_scores_gemma":[0.0048775305,0.0002795487,0.00095680024,0.0006521039,0.00044271618,0.00089882826,0.000794702,0.000940196,0.00013659382],"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":[0.00078153936,0.0011639451,0.10746624,0.0005356437,0.001708029,0.00031856072,0.0001832838,0.40780637,0.0030713384,0.0036130568,0.004708225,0.4686438],"study_design_scores_gemma":[0.000026427408,0.0003215973,0.021922212,0.000077960634,0.00022685685,0.00008877109,0.000041050407,0.9727486,0.0009674357,0.0026502432,0.0009072357,0.000021692947],"about_ca_topic_score_codex":0.005343887,"about_ca_topic_score_gemma":0.003725705,"teacher_disagreement_score":0.005343887,"about_ca_system_score_codex":0.00082947855,"about_ca_system_score_gemma":0.0008865446,"threshold_uncertainty_score":0.01372844},"labels":[],"label_agreement":null},{"id":"W4408220937","doi":"10.1007/s00259-025-07174-6","title":"Subendocardial quantification enhances coronary artery disease detection in 18F-flurpiridaz PET","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Cedars-Sinai Medical Center","keywords":"Coronary artery disease; Medicine; Cardiology; Cardiac PET; Radiology; Internal medicine; Positron emission tomography","score_opus":0.009348040822856096,"score_gpt":0.263050932866929,"score_spread":0.25370289204407287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408220937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9557513,0.0054349094,0.036149494,0.00013108972,0.000019243496,0.000058436264,0.0001684195,0.0003003797,0.0019866433],"genre_scores_gemma":[0.9835084,0.00083347154,0.015052032,0.000064563676,0.000019323124,0.000023783881,0.00011901675,0.000024683277,0.00035468902],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997451,0.00010662923,0.00001511544,0.00006146751,0.000053035827,0.000018646804],"domain_scores_gemma":[0.99965954,0.00013607339,0.000098599296,0.00003317629,0.00004254009,0.000030109999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014351816,0.00039726478,0.00032985228,0.00075001875,0.00007950641,0.00065991393,0.00013965991,0.00031161867,0.00079296785],"category_scores_gemma":[0.0010627994,0.00021504227,0.00016579356,0.00016741584,0.0002206352,0.0003529273,0.00021624715,0.00024586546,0.00027238304],"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":[0.004347642,0.00021910576,0.2000791,0.0003341413,0.00026025096,0.00059090974,0.00016058526,0.002880139,0.6356564,0.0002884801,0.0006232451,0.15455996],"study_design_scores_gemma":[0.00020693938,0.0019780588,0.75833845,0.00009735993,0.0005374027,0.0060514025,0.00011925332,0.049718283,0.178863,0.00067303336,0.003357765,0.000059064125],"about_ca_topic_score_codex":0.0002879232,"about_ca_topic_score_gemma":0.00054919516,"teacher_disagreement_score":0.0014351816,"about_ca_system_score_codex":0.00015336221,"about_ca_system_score_gemma":0.00011662917,"threshold_uncertainty_score":0.007589996},"labels":[],"label_agreement":null},{"id":"W4408566337","doi":"10.1007/s00259-025-07195-1","title":"Correction to: Functional biomarkers derived from computed tomography and magnetic resonance imaging differentiate PDAC subgroups and reveal gemcitabine‑induced hypo‑vascularization","year":2025,"lang":"en","type":"erratum","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Magnetic resonance imaging; Medicine; Gemcitabine; Computed tomography; Radiology; Nuclear medicine; Internal medicine; Cancer","score_opus":0.006406759654836653,"score_gpt":0.2067071207762347,"score_spread":0.20030036112139807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408566337","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014820015,0.00074464415,0.00054118433,0.03524159,0.96059644,0.000028271092,0.0010097203,0.00024468097,0.0014452164],"genre_scores_gemma":[0.014965314,0.0064075026,0.0058604428,0.09471203,0.6688635,0.00032298113,0.0028442799,0.0020567656,0.20396723],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975769,0.00042513796,0.0005488064,0.00037096703,0.0008229753,0.0002552664],"domain_scores_gemma":[0.9786862,0.0053199683,0.0013651939,0.0012871507,0.011977112,0.0013644956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026508083,0.0023181944,0.0021660465,0.0035895684,0.002024495,0.0032422044,0.0028757572,0.006286416,0.075406834],"category_scores_gemma":[0.05030751,0.0012804882,0.0018411496,0.0017163923,0.0021259077,0.0015941315,0.0014459981,0.009984697,0.036814127],"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":[0.00006638068,0.0000059643216,0.00010568435,0.00017708335,0.000017202614,0.00034494593,0.00001528288,0.00005136839,0.00004892271,0.0003348685,0.9939619,0.0048703733],"study_design_scores_gemma":[0.00015594887,0.000029616127,0.0014975033,0.00054119516,0.00008761414,0.0019155678,0.00008444126,0.00051719736,0.00059258926,0.0017621089,0.9927578,0.000058336223],"about_ca_topic_score_codex":0.013396971,"about_ca_topic_score_gemma":0.016759729,"teacher_disagreement_score":0.075406834,"about_ca_system_score_codex":0.0033684578,"about_ca_system_score_gemma":0.0037997859,"threshold_uncertainty_score":0.25226098},"labels":[],"label_agreement":null},{"id":"W4409358672","doi":"10.1007/s00259-025-07264-5","title":"Comparative diagnostic performance of [68 Ga]Ga-FAPI PET/CT and [18 F]FDGPET/CT in biliary tract cancers: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Mary's Hospital Centre","funders":"","keywords":"Medicine; Meta-analysis; Biliary tract; Nuclear medicine; Radiology; Internal medicine","score_opus":0.0593277644913046,"score_gpt":0.35125519714382103,"score_spread":0.2919274326525164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409358672","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007889931,0.99124616,0.0002724158,0.00009407375,0.000101567246,0.000061618455,0.00019910741,0.000013510707,0.000121778445],"genre_scores_gemma":[0.2855389,0.70985675,0.0017941167,0.0012830518,0.00030803404,0.00027028934,0.00057943305,0.000039007784,0.00033046535],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9968124,0.0012252952,0.0009244789,0.00056187354,0.0003358969,0.00013999776],"domain_scores_gemma":[0.9926722,0.0052649924,0.0013250656,0.00023547388,0.00039772067,0.00010456148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005769498,0.0020787339,0.013591186,0.0029139207,0.0003736631,0.002417566,0.0016147624,0.0021848744,0.0025872532],"category_scores_gemma":[0.0131847365,0.001518623,0.023215873,0.0039264117,0.0008389034,0.0014836052,0.0012089325,0.0014763239,0.00027426347],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005637337,0.000046150413,0.0075563537,0.25943264,0.7061894,0.00014962636,0.00010778334,0.00055092486,0.0007039582,0.00009851067,0.0005832733,0.018944032],"study_design_scores_gemma":[0.0010477317,0.00026040364,0.0049111093,0.0072449124,0.98480934,0.00010576256,0.000049251328,0.00014948091,0.00012530245,0.00010826838,0.0011550462,0.000033371933],"about_ca_topic_score_codex":0.003944088,"about_ca_topic_score_gemma":0.011888235,"teacher_disagreement_score":0.013591186,"about_ca_system_score_codex":0.001420117,"about_ca_system_score_gemma":0.001653222,"threshold_uncertainty_score":0.030512333},"labels":[],"label_agreement":null},{"id":"W4409753481","doi":"10.1007/s00259-025-07257-4","title":"Tau profiling across Alzheimer’s disease staging reveals vulnerability to disease pathophysiology","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":3,"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; Sunnybrook Health Science Centre; McGill University; McGill University Health Centre; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; National Institutes of Health; Julius Clinical; UK Dementia Research Institute; Vetenskapsrådet; Hjärnfonden; European Commission; Fondation Brain Canada; Cerveau Technologies; EU Joint Programme – Neurodegenerative Disease Research; Stiftelsen för Gamla Tjänarinnor; Familjen Erling-Perssons Stiftelse; Biogen; Eli Lilly and Company; National Institute on Aging; Alzheimer's Association; Consortium canadien en neurodégénérescence associée au vieillissement; Canadian Institutes of Health Research; Weston Brain Institute; Alzheimer's Drug Discovery Foundation","keywords":"Pathophysiology; Disease; Profiling (computer programming); Medicine; Alzheimer's disease; Pathology; Computer science","score_opus":0.0260279045750154,"score_gpt":0.3501697194773379,"score_spread":0.32414181490232247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409753481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944635,0.0002336491,0.004659325,0.000042135784,0.0000033517715,0.000010685412,0.00018389923,0.000039910785,0.00036363018],"genre_scores_gemma":[0.998251,0.00006743908,0.0014570331,0.0000068582444,0.000005498024,0.0000060704433,0.00013717692,0.0000062005,0.00006276992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998559,0.00003979689,0.000013745427,0.00004904204,0.000021646463,0.000019844218],"domain_scores_gemma":[0.9991749,0.0001993139,0.00030193938,0.00014969264,0.000095570955,0.0000786155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580814,0.00031775952,0.00029491325,0.0014704199,0.0002658939,0.00059630803,0.00021875415,0.00026283832,0.0007579239],"category_scores_gemma":[0.0018269573,0.00011585437,0.00025365505,0.0007794574,0.00034833763,0.0005019153,0.0004388606,0.0002807913,0.00014203474],"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":[0.00087746425,0.00006448471,0.88202053,0.000074510805,0.0002698524,0.00022005897,0.0007782459,0.002890849,0.053878944,0.0008585303,0.00049563684,0.05757082],"study_design_scores_gemma":[0.000006698074,0.00013218302,0.9823835,0.000011073408,0.00007299951,0.00042639018,0.00019211105,0.00969497,0.0034790486,0.003256924,0.000331172,0.0000129666],"about_ca_topic_score_codex":0.0013205714,"about_ca_topic_score_gemma":0.0021999686,"teacher_disagreement_score":0.0014704199,"about_ca_system_score_codex":0.00024491348,"about_ca_system_score_gemma":0.00022115496,"threshold_uncertainty_score":0.004009187},"labels":[],"label_agreement":null},{"id":"W4410049147","doi":"10.1007/s00259-025-07314-y","title":"Should end-to-end deep learning replace handcrafted radiomics?","year":2025,"lang":"en","type":"letter","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","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","funders":"","keywords":"End-to-end principle; Radiomics; Deep learning; Artificial intelligence; Medicine; Computer science","score_opus":0.012666938472408948,"score_gpt":0.27278094737996494,"score_spread":0.260114008907556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410049147","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039243567,0.002661757,0.0050713206,0.98470485,0.0047649685,0.000012936139,0.00005264304,0.000070477436,0.0022687109],"genre_scores_gemma":[0.019443179,0.003970471,0.007834383,0.9393039,0.02312272,0.00012207421,0.00009196156,0.00010723748,0.006004078],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98888624,0.0055866684,0.0007329393,0.0012819709,0.0028070323,0.00070522324],"domain_scores_gemma":[0.9386379,0.0471626,0.0024922972,0.0026640247,0.006763398,0.0022797915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022561383,0.0005694749,0.00095922814,0.0005864587,0.0014029305,0.0043740617,0.002442391,0.024660472,0.004717621],"category_scores_gemma":[0.096350454,0.00045252588,0.0008238821,0.000559824,0.008209348,0.009395648,0.002592445,0.03854948,0.0095863305],"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":[0.0003792565,0.00007240357,0.0015379912,0.00028583262,0.000073275696,0.00089472707,0.00031890036,0.00088936207,0.00046552866,0.09985606,0.73144454,0.16378216],"study_design_scores_gemma":[0.0002481633,0.00020200523,0.0008798547,0.0009461417,0.00003874238,0.0020750714,0.000416095,0.005056878,0.0015256817,0.3308129,0.65767276,0.00012571459],"about_ca_topic_score_codex":0.0018814604,"about_ca_topic_score_gemma":0.0025913627,"teacher_disagreement_score":0.024660472,"about_ca_system_score_codex":0.0046693934,"about_ca_system_score_gemma":0.0035031124,"threshold_uncertainty_score":0.11931741},"labels":[],"label_agreement":null},{"id":"W4411139137","doi":"10.1007/s00259-025-07396-8","title":"Developing a novel reference region for [18F]PI-2620-PET imaging to facilitate the assessment of 4-repeat tauopathies","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","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":"Ontario Brain Institute; Occupational Cancer Research Centre; University Health Network","funders":"","keywords":"Positron emission tomography; Medicine; Nuclear medicine; Medical physics","score_opus":0.08048836367337156,"score_gpt":0.3237574033925641,"score_spread":0.24326903971919253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411139137","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26038757,0.0023385028,0.73248476,0.000110301145,0.00003403259,0.00013675065,0.00055709906,0.0021385893,0.0018123869],"genre_scores_gemma":[0.59304386,0.0009681464,0.40161398,0.000103315986,0.000018267197,0.00034497023,0.0013031843,0.0008647366,0.0017396249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997223,0.00005617262,0.000013966571,0.00009673093,0.00007957628,0.000031218293],"domain_scores_gemma":[0.99966836,0.00008795091,0.0000757924,0.000041642415,0.000108369204,0.000017909053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013067555,0.0009186735,0.00042801723,0.00097307033,0.00036065676,0.0010819188,0.00088107376,0.00095355214,0.0010758246],"category_scores_gemma":[0.0024390009,0.0004389928,0.0005012679,0.0006307464,0.0003774819,0.00064203935,0.00060349796,0.00041842114,0.0006299288],"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":[0.0004965697,0.000082460254,0.010362881,0.0004439787,0.0001415785,0.00031655046,0.00027779664,0.039438345,0.83923864,0.0026418718,0.00093792187,0.10562143],"study_design_scores_gemma":[0.000039078794,0.00037961395,0.022374298,0.000099952544,0.00022971597,0.0011631928,0.00009225948,0.33164996,0.63448584,0.0017199672,0.0076814196,0.00008471997],"about_ca_topic_score_codex":0.0032864737,"about_ca_topic_score_gemma":0.004667302,"teacher_disagreement_score":0.0032864737,"about_ca_system_score_codex":0.0009202149,"about_ca_system_score_gemma":0.00089874567,"threshold_uncertainty_score":0.0069108605},"labels":[],"label_agreement":null},{"id":"W4411263007","doi":"10.1007/s00259-025-07345-5","title":"Image reconstruction and analysis of atherosclerosis imaging by [18F]FDG PETCT using digital PET technology","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Roche Diagnostics; EUSA Pharma; Ipsen; Novo Nordisk; Eisai; British Heart Foundation; MyoKardia; Exelixis; Boston Scientific Corporation; Pfizer; Cedars-Sinai Medical Center; BHF Centre of Research Excellence, Oxford; Bristol-Myers Squibb","keywords":"Nuclear medicine; Medicine; Medical physics; Radiology; Positron emission tomography","score_opus":0.009799852292241012,"score_gpt":0.2754840885052769,"score_spread":0.2656842362130359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411263007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35394675,0.0016950429,0.6379797,0.00028143812,0.000039615472,0.00013618787,0.0006547561,0.0011713885,0.004095144],"genre_scores_gemma":[0.6681494,0.0016031316,0.32534844,0.00011019817,0.000029407527,0.000097295466,0.0005915138,0.00030159723,0.0037689877],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989104,0.000024555005,0.000009887125,0.000018547238,0.000041091593,0.000014879551],"domain_scores_gemma":[0.9998111,0.000077288365,0.000019040786,0.000032633852,0.000051389536,0.000008539484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004897544,0.0002917495,0.00021508186,0.0010111853,0.0001496094,0.00096128066,0.00028274485,0.00047373556,0.0021603752],"category_scores_gemma":[0.00096091203,0.00032860087,0.00031400716,0.00074265647,0.00022314514,0.00032139214,0.00021635213,0.00029112515,0.00063559215],"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":[0.00077367603,0.000115639166,0.01160704,0.00043051006,0.00009912794,0.0009569878,0.00018621692,0.027031058,0.7104078,0.0034222405,0.00096806494,0.24400155],"study_design_scores_gemma":[0.00006645271,0.00029794002,0.047368582,0.000070021444,0.00027317577,0.008237158,0.00016711978,0.31517786,0.6144771,0.0021956142,0.011567691,0.00010134549],"about_ca_topic_score_codex":0.0013368553,"about_ca_topic_score_gemma":0.0009894614,"teacher_disagreement_score":0.0021603752,"about_ca_system_score_codex":0.0002239976,"about_ca_system_score_gemma":0.00043337466,"threshold_uncertainty_score":0.0072271824},"labels":[],"label_agreement":null},{"id":"W4411582179","doi":"10.1007/s00259-025-07413-w","title":"First-in-human PET neuroimaging of [18F]OXD-2314","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University Health Network; University of Toronto; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"Tau Consortium; Krembil Foundation; Canada Research Chairs; Rossy Foundation; Azrieli Foundation; Canada Foundation for Innovation; Ontario Research Foundation; Canadian Institutes of Health Research; CurePSP; Michael J. Fox Foundation for Parkinson's Research","keywords":"Neuroimaging; Positron emission tomography; Medicine; Nuclear medicine; Psychiatry","score_opus":0.01419203136995259,"score_gpt":0.301988011884743,"score_spread":0.2877959805147904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411582179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714125,0.005394227,0.016051617,0.00021615902,0.00008511942,0.00022015726,0.0005165352,0.00030286206,0.005800886],"genre_scores_gemma":[0.98431844,0.002440931,0.006435773,0.0001874895,0.000039619918,0.00019747598,0.00093272026,0.000117763884,0.0053296736],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99985087,0.000062693536,0.000006087001,0.000033440152,0.00001550809,0.00003139342],"domain_scores_gemma":[0.9998448,0.000056715835,0.000024035022,0.0000244226,0.000023297986,0.000026782565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005606608,0.0007231151,0.00070225104,0.00027202882,0.0004014753,0.00065627525,0.00048310918,0.00079039147,0.002855282],"category_scores_gemma":[0.0005271917,0.00039709004,0.00033004352,0.00018427204,0.0004545741,0.00043964613,0.00021912635,0.0005514845,0.0008303449],"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":[0.007243337,0.0008925794,0.004826408,0.0007039594,0.00019701189,0.0031858273,0.00027321497,0.0009007101,0.9438611,0.00051649736,0.0018661307,0.035533343],"study_design_scores_gemma":[0.00093938754,0.02447413,0.041288532,0.00006745652,0.00087278173,0.030073097,0.000323421,0.006227041,0.861411,0.00079922366,0.033409845,0.000114091294],"about_ca_topic_score_codex":0.001715022,"about_ca_topic_score_gemma":0.0019099095,"teacher_disagreement_score":0.002855282,"about_ca_system_score_codex":0.00047030003,"about_ca_system_score_gemma":0.0004065107,"threshold_uncertainty_score":0.009551823},"labels":[],"label_agreement":null},{"id":"W4412110400","doi":"10.1007/s00259-025-07431-8","title":"Increased incidence of primary metastatic prostate cancer in the era of PSMA PET/CT: a population-based analysis","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Prostate cancer; Lymph node; Stage (stratigraphy); Incidence (geometry); Population; Logistic regression; Internal medicine; Cohort; Oncology; Radiology; Cancer","score_opus":0.009681271926078044,"score_gpt":0.2770391921500842,"score_spread":0.2673579202240062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412110400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980129,0.00072408584,0.00011714981,0.000053922708,0.0000081228245,0.0000037528105,0.00041625844,0.000009287223,0.00065460545],"genre_scores_gemma":[0.9994387,0.0001559035,0.000026485666,0.000021128139,0.000013672454,0.0000024723934,0.0002117824,0.000002588159,0.00012719948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995283,0.000101492755,0.000038272203,0.00017115776,0.0000700617,0.00009081888],"domain_scores_gemma":[0.9993125,0.00013347813,0.00026299187,0.00008268946,0.00007054272,0.00013776247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045161232,0.000314209,0.0004895138,0.00081076036,0.00032253674,0.00090056466,0.00038138044,0.00095801975,0.002819828],"category_scores_gemma":[0.0012481605,0.0004923973,0.0012564188,0.0011773183,0.0002902563,0.00076863857,0.000567363,0.0008166019,0.0003510744],"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":[0.0003644889,0.000037775917,0.9973002,0.000013741368,0.0003187266,0.00016946017,0.00004840081,0.000105241896,0.00034456057,0.00002715785,0.000109397726,0.0011608398],"study_design_scores_gemma":[0.0000067333967,0.000076782795,0.99899286,0.0000027083097,0.000098287645,0.00037827337,0.00009690421,0.00018890144,0.000024052659,0.000024184708,0.000104924424,0.0000053811978],"about_ca_topic_score_codex":0.0035037252,"about_ca_topic_score_gemma":0.0031918276,"teacher_disagreement_score":0.0035037252,"about_ca_system_score_codex":0.00027080945,"about_ca_system_score_gemma":0.00026898785,"threshold_uncertainty_score":0.0094332695},"labels":[],"label_agreement":null},{"id":"W4412490901","doi":"10.1007/s00259-025-07442-5","title":"Radiopharmaceutical kit to prepare Copper-64 labelled porphyrin-lipid nanoparticles for radiotracer imaging studies in cancer patients","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"Terry Fox Research Institute; Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation","keywords":"Pharmacokinetics; Beagle; Pharmacology; Toxicity; Nuclear medicine; Chemistry; Dosimetry; Medicine; Distribution (mathematics); Radiochemistry; Internal medicine","score_opus":0.03357734597706101,"score_gpt":0.3753593854274515,"score_spread":0.3417820394503905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412490901","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85457665,0.007176221,0.119258925,0.001101549,0.0005129259,0.002374846,0.0012821606,0.0021369415,0.0115797445],"genre_scores_gemma":[0.82666045,0.0023445818,0.14837915,0.0008238919,0.00012144713,0.0024428624,0.001503433,0.00023661739,0.017487561],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998555,0.000038845374,0.0000132657715,0.000025542562,0.000044018372,0.00002288363],"domain_scores_gemma":[0.9998654,0.00003362747,0.000026705811,0.000013801777,0.000035668905,0.000024849076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032764708,0.00029930114,0.00023408984,0.00042754054,0.00019922985,0.00022002531,0.00037238077,0.0005113432,0.0032835652],"category_scores_gemma":[0.00052603387,0.0002442584,0.00014993458,0.00023759315,0.00014056561,0.00014914051,0.0002745913,0.00047745573,0.0012980001],"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":[0.0007078729,0.0002704534,0.0016422917,0.00048055753,0.000030393783,0.0008229285,0.00009015976,0.00064300676,0.94196576,0.0005822393,0.003077145,0.049687095],"study_design_scores_gemma":[0.00025870602,0.0017940614,0.0037932661,0.00006374719,0.00010003421,0.0045274887,0.000042543583,0.004566263,0.95381725,0.00028079274,0.030721746,0.000034072826],"about_ca_topic_score_codex":0.00027113807,"about_ca_topic_score_gemma":0.000339578,"teacher_disagreement_score":0.0032835652,"about_ca_system_score_codex":0.00019016203,"about_ca_system_score_gemma":0.00032833687,"threshold_uncertainty_score":0.0109846},"labels":[],"label_agreement":null},{"id":"W4412582728","doi":"10.1007/s00259-025-07476-9","title":"Validation of SUV thresholds in [¹⁸F]SiTATE PET/CT for accurate meningioma segmentation","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Meningioma and schwannoma management","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":"University of Alberta","funders":"","keywords":"Medicine; Meningioma; Nuclear medicine; Lesion; Standardized uptake value; Radiology; Partial volume; Positron emission tomography; Pathology","score_opus":0.020021247617307822,"score_gpt":0.2996719992500444,"score_spread":0.27965075163273656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412582728","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984009,0.0004737342,0.014747027,0.000024885523,0.000012944257,0.00005134706,0.00013474148,0.00017769735,0.00036864018],"genre_scores_gemma":[0.98705196,0.000066915534,0.012605432,0.000007809581,0.000003895178,0.000028214907,0.00015399375,0.00003027624,0.000051562216],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988895,0.00045756242,0.00014902254,0.00020502564,0.00023268678,0.000066255925],"domain_scores_gemma":[0.99837697,0.000810856,0.00026397608,0.00021458117,0.0002570415,0.000076579454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00237975,0.00050326,0.0005213482,0.0011474774,0.0002953753,0.00092871435,0.0005260372,0.0005780251,0.0004659962],"category_scores_gemma":[0.007474151,0.00030032446,0.0004452146,0.00039507903,0.00044017367,0.00029795873,0.0003814441,0.0002487525,0.0002686211],"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":[0.0048232907,0.00015650333,0.5796382,0.00031164114,0.00033333065,0.0010427085,0.000737143,0.026734646,0.28447798,0.0006160299,0.00053751736,0.100591056],"study_design_scores_gemma":[0.00020553645,0.0022044776,0.51628494,0.00007106849,0.00038529778,0.005323241,0.00061026396,0.1963625,0.27567276,0.00084519363,0.0019127288,0.00012197576],"about_ca_topic_score_codex":0.0014689966,"about_ca_topic_score_gemma":0.0016542468,"teacher_disagreement_score":0.00237975,"about_ca_system_score_codex":0.00043387423,"about_ca_system_score_gemma":0.00046314936,"threshold_uncertainty_score":0.012585461},"labels":[],"label_agreement":null},{"id":"W4412644626","doi":"10.1007/s00259-025-07438-1","title":"Efficacy and safety of rechallenge therapy with [177Lu]Lu-PSMA in metastatic castration-resistant prostate cancer: a systematic review and meta-analysis","year":2025,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Prostate Cancer Treatment and Research","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":"Dalhousie University","funders":"University of Bern","keywords":"Medicine; Prostate cancer; Meta-analysis; Internal medicine; Oncology; Systematic review; Urology; Cancer; MEDLINE","score_opus":0.08453496405050136,"score_gpt":0.3819989778234848,"score_spread":0.2974640137729834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412644626","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045531304,0.99357855,0.00049172447,0.000178919,0.0001214006,0.00038391017,0.00044066843,0.000023823193,0.00022781505],"genre_scores_gemma":[0.1494887,0.84421974,0.002171642,0.0010214089,0.00022227805,0.0016124373,0.0008582935,0.00003331124,0.00037224567],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99228173,0.0034159422,0.002413309,0.0007286978,0.00090251723,0.0002577602],"domain_scores_gemma":[0.987369,0.008681764,0.0021875578,0.00038683973,0.0011873044,0.00018760945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012437237,0.0027006909,0.02097566,0.006561743,0.00062235625,0.0030928967,0.002113146,0.0024842622,0.003038029],"category_scores_gemma":[0.02646516,0.0015280807,0.04329075,0.0069093034,0.000782903,0.001761261,0.0014411996,0.0016654799,0.00031638172],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016444079,0.00003221317,0.0018566495,0.48213708,0.50357676,0.000105342755,0.00008678681,0.00047804683,0.0002627641,0.00010972033,0.00040152174,0.0093086865],"study_design_scores_gemma":[0.00043556836,0.00020378517,0.0017945943,0.027530948,0.9682968,0.0000693317,0.000038745402,0.00015024585,0.00010696082,0.00012237953,0.0012288775,0.0000217466],"about_ca_topic_score_codex":0.007128901,"about_ca_topic_score_gemma":0.014668003,"teacher_disagreement_score":0.02097566,"about_ca_system_score_codex":0.003288652,"about_ca_system_score_gemma":0.004790136,"threshold_uncertainty_score":0.065775216},"labels":[],"label_agreement":null},{"id":"W4413048394","doi":"10.1007/s00259-025-07499-2","title":"A century in the making: Medical imaging, nuclear medicine, and the transformation of global healthcare","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Global Health and Surgery","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":"Carleton University","funders":"","keywords":"Credentialing; Health care; Medical imaging; Accountability; Nuclear medicine imaging; Medicine; Business; Public relations; Political science; Engineering ethics; Nuclear medicine; Medical education; Radiology; Engineering; Law","score_opus":0.010692221416371942,"score_gpt":0.30440787420370563,"score_spread":0.2937156527873337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413048394","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0564983,0.12903285,0.013708346,0.5283361,0.0063155317,0.000029490975,0.00008170364,0.00012131112,0.26587635],"genre_scores_gemma":[0.8724666,0.048053175,0.0046305642,0.04469491,0.0048859324,0.00005786891,0.00006279324,0.00020042849,0.024947722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954099,0.0027111857,0.00012208862,0.00041759838,0.00079246145,0.00054672296],"domain_scores_gemma":[0.99519265,0.002892463,0.00041864338,0.00054728385,0.0003132024,0.00063572556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008468591,0.0004749636,0.0005210869,0.0015633516,0.0074404664,0.016047034,0.00083505723,0.006195212,0.0068262466],"category_scores_gemma":[0.007881747,0.00029625776,0.0003793605,0.0026306717,0.043428075,0.019421099,0.011113138,0.0073069446,0.0007367118],"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":[0.00003074038,0.0000148111885,0.0005325135,0.00010264016,0.0000081165745,0.00021560237,0.026602631,0.00025160646,0.00022663282,0.9236775,0.011934861,0.036402278],"study_design_scores_gemma":[0.0000063608,0.000018884444,0.0008023318,0.0004472549,0.000006692343,0.00025679474,0.021025945,0.00013343024,0.00020343237,0.49918625,0.47788656,0.000026124631],"about_ca_topic_score_codex":0.0030812903,"about_ca_topic_score_gemma":0.0040189056,"teacher_disagreement_score":0.016047034,"about_ca_system_score_codex":0.005185323,"about_ca_system_score_gemma":0.006331942,"threshold_uncertainty_score":0.04478669},"labels":[],"label_agreement":null},{"id":"W4413140990","doi":"10.1007/s00259-025-07514-6","title":"Prognostic value of [18F]FAZA PET/MR imaging pre and post revascularization in chronic limb-threatening ischemia: a prospective pilot study on tissue microcirculation","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"William Osler Health System; University of Toronto; Women's College Hospital","funders":"","keywords":"Medicine; Revascularization; Angioplasty; Prospective cohort study; Ischemia; Internal medicine; Cardiology; Surgery; Radiology; Nuclear medicine","score_opus":0.007627728599885278,"score_gpt":0.2629023970682728,"score_spread":0.25527466846838753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413140990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994729,0.0001558953,0.000069087604,0.000011229505,0.0000037737009,0.000009666498,0.000054048684,0.0000019033738,0.00022151486],"genre_scores_gemma":[0.99952996,0.00008459922,0.00007971013,0.000014672106,0.00001764931,0.000012023371,0.00010865884,0.0000020787634,0.00015077215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980646,0.00006442313,0.000009871291,0.000052145922,0.000018614706,0.000048533737],"domain_scores_gemma":[0.99928445,0.00026851252,0.00013801319,0.00006225145,0.000052402884,0.00019431634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005126499,0.00053150405,0.00044067096,0.00036024576,0.00030268094,0.0006096602,0.00024086348,0.0008536645,0.0014836285],"category_scores_gemma":[0.0012725452,0.0002344043,0.0003573874,0.0003425644,0.0004058492,0.00044863127,0.00018184882,0.0004960014,0.00028757946],"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":[0.021451471,0.0015251295,0.958363,0.00003812802,0.00015947242,0.001124524,0.00022935444,0.00020696707,0.009526554,0.000054365748,0.000079805555,0.0072411913],"study_design_scores_gemma":[0.00016180098,0.0061784466,0.9907927,0.000006964474,0.00019324712,0.0008933011,0.0001653539,0.00042055344,0.0008919629,0.00006846427,0.0002119706,0.000015186675],"about_ca_topic_score_codex":0.0008495536,"about_ca_topic_score_gemma":0.0007922729,"teacher_disagreement_score":0.0014836285,"about_ca_system_score_codex":0.00017478167,"about_ca_system_score_gemma":0.00023301295,"threshold_uncertainty_score":0.004963219},"labels":[],"label_agreement":null},{"id":"W4414554279","doi":"10.1007/s00259-025-07572-w","title":"Head to head comparison of [18F]SiTATE versus [18F]DOPA-PET in patients with neuroendocrine tumors","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Neuroendocrine tumors; Prospective cohort study; Head (geology); Head and neck; Pheochromocytoma","score_opus":0.01929981324905239,"score_gpt":0.3430258682891741,"score_spread":0.3237260550401217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414554279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981498,0.012597389,0.0004810399,0.0003416009,0.0005350236,0.00016701239,0.001488282,0.00006844279,0.002823218],"genre_scores_gemma":[0.99500835,0.0023733042,0.00020452918,0.0002935288,0.0002828018,0.0000532426,0.0010918401,0.000041555948,0.0006509254],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9994802,0.00020140954,0.000038539118,0.0001009015,0.00003843649,0.00014050477],"domain_scores_gemma":[0.99925405,0.00027517808,0.00010067972,0.00007922303,0.00009102354,0.00019990213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008197462,0.0013994883,0.00416794,0.000533773,0.0005302623,0.0012936773,0.0006170474,0.0011731879,0.0038967726],"category_scores_gemma":[0.0014643673,0.0006658648,0.0026109212,0.0009038773,0.00092698174,0.0011360629,0.00045347327,0.0016510198,0.0010357798],"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":[0.9327047,0.001419548,0.019133931,0.0006004093,0.004756126,0.00042814645,0.0001361526,0.0014504521,0.0074255853,0.000103318984,0.0009509898,0.030890612],"study_design_scores_gemma":[0.19135723,0.39286187,0.32970902,0.00047992752,0.041993305,0.0035207577,0.0016403146,0.007488418,0.018013746,0.001572693,0.010858096,0.00050462235],"about_ca_topic_score_codex":0.008789821,"about_ca_topic_score_gemma":0.0146952085,"teacher_disagreement_score":0.008789821,"about_ca_system_score_codex":0.0013254187,"about_ca_system_score_gemma":0.0011619561,"threshold_uncertainty_score":0.017477274},"labels":[],"label_agreement":null},{"id":"W4415210946","doi":"10.1007/s00259-025-07618-z","title":"Clinical evaluation of deep learning-based CT-free PET reconstruction image: a dual-center study","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Correction for attenuation; Positron emission tomography; PET-CT; Computed tomography; Medical imaging","score_opus":0.027967304081901078,"score_gpt":0.36632297559772614,"score_spread":0.3383556715158251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415210946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927154,0.0014073508,0.003368405,0.00019148887,0.00002975457,0.00007998209,0.00068396167,0.00005819371,0.001465532],"genre_scores_gemma":[0.9968381,0.0005557429,0.001127021,0.00010405398,0.00003301404,0.000023733064,0.0008399623,0.000057914818,0.00042047305],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997485,0.00008455101,0.000020999596,0.000075241755,0.000033419386,0.000037340804],"domain_scores_gemma":[0.9992405,0.00027203644,0.000078860205,0.00011857404,0.00019130428,0.000098723154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009895171,0.00049747707,0.0006598872,0.00043062685,0.00022024864,0.0009420149,0.00049272407,0.0010091902,0.0023967307],"category_scores_gemma":[0.002807601,0.00032175265,0.00037551986,0.00047326655,0.0005738873,0.0008048187,0.00039171003,0.0005919814,0.0006932625],"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":[0.07164832,0.00851675,0.35105142,0.0013840605,0.0020792987,0.019459572,0.0012691699,0.022169793,0.15877897,0.0012363214,0.0066115065,0.35579485],"study_design_scores_gemma":[0.004857401,0.038115636,0.65255547,0.00036855193,0.0049576233,0.070274904,0.0022249557,0.13144077,0.075806044,0.0023282617,0.016516918,0.0005534171],"about_ca_topic_score_codex":0.0014622262,"about_ca_topic_score_gemma":0.0012066317,"teacher_disagreement_score":0.0023967307,"about_ca_system_score_codex":0.00040601788,"about_ca_system_score_gemma":0.00026168037,"threshold_uncertainty_score":0.008017898},"labels":[],"label_agreement":null},{"id":"W4415352585","doi":"10.1007/s00259-025-07579-3","title":"Comparing and combining TSPO-PET tracers in tauopathies","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Montreal Neurological Institute and Hospital","funders":"Cambridge Centre for Parkinson-Plus; NIHR Cambridge Biomedical Research Centre; Fonds de Recherche du Québec - Santé; Dementias Platform UK; UK Dementia Research Institute; Ludwig-Maximilians-Universität München; Deutsches Zentrum für Neurodegenerative Erkrankungen; Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; Guarantors of Brain; Novo Nordisk; Eisai; McGill University; Manfred Lautenschläger-Stiftung; Wellcome Trust; Fondation Brain Canada; Alzheimer’s Research UK; TauRx Pharmaceuticals; Medical Research Council; Biogen","keywords":"Pipeline (software); Neuroinflammation; Neuroimaging; Tauopathy","score_opus":0.02082882558695521,"score_gpt":0.29928670743431146,"score_spread":0.27845788184735626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415352585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9254475,0.0024245242,0.067185916,0.00014982835,0.00006387459,0.00034769156,0.0017860577,0.0009665941,0.0016280155],"genre_scores_gemma":[0.93661076,0.0006302968,0.05804895,0.000104240025,0.0000448946,0.00031931108,0.0030783524,0.000419831,0.0007433394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978168,0.0006406501,0.00022116279,0.00074716087,0.0004507734,0.0001233917],"domain_scores_gemma":[0.99759185,0.0005540572,0.0005110741,0.00048477823,0.000706432,0.0001518651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006071174,0.0008895234,0.0012971516,0.0019603288,0.0005576621,0.0021181863,0.00085099135,0.0008478949,0.0010189576],"category_scores_gemma":[0.008377843,0.0005311192,0.0012383985,0.0013716853,0.00069608935,0.00074659294,0.0019072761,0.0008199622,0.00045170874],"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":[0.008440114,0.00057639176,0.36602685,0.0018400701,0.0058856304,0.0008125203,0.001939243,0.026337918,0.340042,0.0017588189,0.003186845,0.24315356],"study_design_scores_gemma":[0.00055264565,0.004352999,0.6316808,0.00026352014,0.0055012163,0.0050688763,0.0009603152,0.08770029,0.2330414,0.010026933,0.020412166,0.00043876233],"about_ca_topic_score_codex":0.002313052,"about_ca_topic_score_gemma":0.003485734,"teacher_disagreement_score":0.006071174,"about_ca_system_score_codex":0.0005545499,"about_ca_system_score_gemma":0.0007420354,"threshold_uncertainty_score":0.03210783},"labels":[],"label_agreement":null},{"id":"W4415568903","doi":"10.1007/s00259-025-07530-6","title":"Risk stratification with pre-operative myocardial perfusion imaging","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University of Ottawa; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"National Heart, Lung, and Blood Institute; Foundation for the National Institutes of Health","keywords":"Risk stratification; Myocardial perfusion imaging; Perfusion; Perfusion scanning; Myocardial perfusion scintigraphy; Risk assessment; Selection (genetic algorithm); Positron emission tomography","score_opus":0.005128678331184835,"score_gpt":0.2540405497591102,"score_spread":0.2489118714279254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415568903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890671,0.0031775802,0.0014861678,0.0009626827,0.00018312228,0.000029229846,0.00038389678,0.000020052132,0.004690222],"genre_scores_gemma":[0.99746144,0.00062498543,0.000584963,0.000111961635,0.00021937567,0.000015915286,0.00040452465,0.0000062526856,0.00057047827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994942,0.00011731742,0.00006687593,0.00009755272,0.00009533164,0.00012872454],"domain_scores_gemma":[0.9982109,0.0005323986,0.00055727357,0.00011512192,0.00016523292,0.00041905136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060773524,0.0004853915,0.0004881886,0.0007530481,0.0002998555,0.0010888547,0.0004908974,0.00090890523,0.0026334517],"category_scores_gemma":[0.0032182643,0.00015342189,0.0007696911,0.0005901778,0.00034823123,0.0006398073,0.0005438236,0.001612308,0.0003759099],"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":[0.0006340865,0.00014038118,0.98684084,0.00004237792,0.0001667435,0.00035330583,0.000038542617,0.00023589107,0.00043487296,0.00020573333,0.00039030693,0.010516853],"study_design_scores_gemma":[0.000032929674,0.0005489816,0.9919145,0.00010056915,0.00030931164,0.0017982955,0.00023020354,0.0019102917,0.0005852657,0.0013963103,0.001140554,0.00003273339],"about_ca_topic_score_codex":0.00061372365,"about_ca_topic_score_gemma":0.0015877646,"teacher_disagreement_score":0.0026334517,"about_ca_system_score_codex":0.0002970222,"about_ca_system_score_gemma":0.00059246086,"threshold_uncertainty_score":0.008809805},"labels":[],"label_agreement":null},{"id":"W4415900010","doi":"10.1007/s00259-025-07612-5","title":"Critical review of partial volume correction methods in PET and SPECT imaging: benefits, pitfalls, challenges, and future outlook","year":2025,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"BC Cancer Foundation; Université de Genève; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Positron emission tomography; Clinical Practice; Volume (thermodynamics); Partial volume; Key (lock)","score_opus":0.04802256756641246,"score_gpt":0.39187426812793663,"score_spread":0.34385170056152414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415900010","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000101112266,0.99728644,0.0008335384,0.00081030175,0.0005250107,0.000018326911,0.000039018923,0.00001571856,0.00037054773],"genre_scores_gemma":[0.00086679624,0.9954621,0.001612893,0.0007975054,0.0008000684,0.00004271383,0.00008294756,0.000014795642,0.00032016778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985215,0.00044354668,0.00034989824,0.00019471261,0.0004310875,0.00005919214],"domain_scores_gemma":[0.99193645,0.0052609746,0.0005311825,0.0001749874,0.0019746472,0.000121817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005078136,0.0013450852,0.002580606,0.004031057,0.0004183071,0.0022294766,0.0019284895,0.0021663918,0.004106295],"category_scores_gemma":[0.009647998,0.00070272735,0.00214834,0.0033988762,0.00097443454,0.0025525289,0.0009943992,0.0027472498,0.0021023634],"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":[0.0001358178,0.000039282808,0.00026508933,0.06194992,0.00044877187,0.0002492113,0.00015831487,0.0007404365,0.0012502341,0.004408467,0.04981676,0.8805377],"study_design_scores_gemma":[0.000041620246,0.00024214039,0.0013946827,0.036073256,0.0011171309,0.002013645,0.00015084574,0.0006353472,0.0012163757,0.0045615635,0.9524509,0.00010244551],"about_ca_topic_score_codex":0.0021923627,"about_ca_topic_score_gemma":0.0027238089,"teacher_disagreement_score":0.005078136,"about_ca_system_score_codex":0.001385348,"about_ca_system_score_gemma":0.0035360341,"threshold_uncertainty_score":0.026856065},"labels":[],"label_agreement":null},{"id":"W4416553555","doi":"10.1007/s00259-025-07677-2","title":"Artificial intelligence for TNM staging in NSCLC: a critical appraisal of segmentation utility in [1⁸F]FDG PET/CT","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"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":"Fonds de Recherche du Québec - Santé; Bayerisches Staatsministerium für Wissenschaft und Kunst","keywords":"Segmentation; False positive paradox; Critical appraisal; Lesion; Stage (stratigraphy); Pattern recognition (psychology)","score_opus":0.03770291792462038,"score_gpt":0.38868313385145564,"score_spread":0.35098021592683526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416553555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7138787,0.086767815,0.17600977,0.010708624,0.0006851502,0.001113098,0.0009220425,0.0007541186,0.009160663],"genre_scores_gemma":[0.9675511,0.0033726078,0.028050046,0.0002971942,0.00022399427,0.000096011565,0.00018298363,0.000048377893,0.00017757856],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9839806,0.01192864,0.0010119139,0.0006362777,0.002324038,0.00011850486],"domain_scores_gemma":[0.9102337,0.076502636,0.0033346105,0.0026133899,0.006699312,0.00061641075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033986952,0.0008198938,0.0011207963,0.0035348414,0.00042041906,0.0038037838,0.0010218127,0.0009255947,0.00061320333],"category_scores_gemma":[0.107067265,0.00027642158,0.00092857634,0.001230053,0.0014271343,0.0012272414,0.0009422227,0.0008928108,0.00014715381],"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":[0.0053445958,0.00024220238,0.24129714,0.0034245804,0.0023359533,0.00042047445,0.0010636761,0.15768877,0.005039237,0.0050153895,0.0034083384,0.57471967],"study_design_scores_gemma":[0.00018646524,0.003558443,0.096075624,0.0021208115,0.0011623022,0.0009781035,0.0009016968,0.87087595,0.0061042914,0.013039949,0.0048379684,0.00015851804],"about_ca_topic_score_codex":0.0017980874,"about_ca_topic_score_gemma":0.001542905,"teacher_disagreement_score":0.033986952,"about_ca_system_score_codex":0.0017456325,"about_ca_system_score_gemma":0.0013409116,"threshold_uncertainty_score":0.17974234},"labels":[],"label_agreement":null},{"id":"W4417259752","doi":"10.1007/s00259-025-07691-4","title":"Longitudinal [18F]LW223 PET imaging of macrophage-driven inflammation following myocardial infarction in a rat model: implications for left ventricular remodelling","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Fibrosis and Remodeling","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":"Institute of Particle Physics","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; British Heart Foundation; Chan Zuckerberg Initiative; Wellcome Trust","keywords":"Myocardial infarction; Inflammation; Pet imaging; Positron emission tomography; Cardiac imaging; Cardiac PET; PET-CT; Ventricular remodeling","score_opus":0.013194365662046141,"score_gpt":0.2770279345541112,"score_spread":0.26383356889206505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417259752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943504,0.00093514664,0.0038244233,0.00008708614,0.000020771395,0.000038958296,0.0001996245,0.00006112288,0.00048256636],"genre_scores_gemma":[0.9884743,0.0013273148,0.0056659374,0.0000960435,0.000026366788,0.0001446618,0.00042033812,0.000033930482,0.0038109983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998827,0.000015373287,0.00000864618,0.000025979176,0.00002752996,0.00003970319],"domain_scores_gemma":[0.99982065,0.000015710306,0.0000691386,0.000019934185,0.00002845762,0.000046147554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042028507,0.0006234394,0.00040123155,0.00032099464,0.00017502332,0.00047333672,0.00026141029,0.000558699,0.00086317596],"category_scores_gemma":[0.00012851613,0.0003090668,0.00030289718,0.00017963893,0.0004328363,0.00040905204,0.00017289027,0.00083191454,0.00030359972],"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":[0.00043482368,0.00006196323,0.0005085759,0.000025759464,0.000005137728,0.00005565217,0.000019486088,0.000053679603,0.99812514,0.00002942073,0.000018374329,0.00066208135],"study_design_scores_gemma":[0.000078976,0.005333662,0.0228213,0.00001850768,0.00010693607,0.00056727155,0.00020137115,0.0014028715,0.96836925,0.000105735,0.0009721494,0.000022025875],"about_ca_topic_score_codex":0.0007765231,"about_ca_topic_score_gemma":0.0014681617,"teacher_disagreement_score":0.00086317596,"about_ca_system_score_codex":0.00025157505,"about_ca_system_score_gemma":0.0002946867,"threshold_uncertainty_score":0.002887547},"labels":[],"label_agreement":null},{"id":"W4417516989","doi":"10.1007/s00259-025-07692-3","title":"PET imaging of cardiac sympathetic nervous system dysfunction using meta-[18F]fluorobenzylguanidine","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canada Foundation for Innovation; Heart and Stroke Foundation of Canada","keywords":"Sympathetic nervous system; Pet imaging; Washout; Hemodynamics; Cardiac imaging; Sympathetic activity; Concomitant; Positron emission tomography; Functional imaging; Nuclear imaging","score_opus":0.01518752055056457,"score_gpt":0.25466182118012143,"score_spread":0.23947430062955685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417516989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687655,0.008432441,0.013478031,0.0013585652,0.00009686664,0.00014067761,0.00019314064,0.00014963433,0.00738507],"genre_scores_gemma":[0.9921549,0.0018966555,0.004418229,0.0003636808,0.000071439325,0.00006123988,0.00016199994,0.000020910487,0.0008509194],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99986005,0.00004478068,0.0000092361,0.000027615164,0.000012340493,0.00004594171],"domain_scores_gemma":[0.999889,0.000055002252,0.000015245341,0.000011186391,0.000012875568,0.000016603215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041692075,0.0005955881,0.0005055421,0.0004162647,0.000288102,0.0004495018,0.000682553,0.0017862066,0.0010593458],"category_scores_gemma":[0.00051312434,0.0003529268,0.00041242407,0.00036048813,0.00039180787,0.00052917044,0.00021534922,0.0008942322,0.00025877258],"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":[0.0065359543,0.00078493555,0.017581152,0.0004073866,0.0002948428,0.028318359,0.00023732393,0.0018797419,0.90694,0.00081679714,0.00091066846,0.035292942],"study_design_scores_gemma":[0.001560613,0.012132191,0.09483898,0.00023223525,0.0016519956,0.11615396,0.00033624543,0.046089955,0.7158752,0.0013239939,0.009692627,0.0001119763],"about_ca_topic_score_codex":0.0016438374,"about_ca_topic_score_gemma":0.0015283761,"teacher_disagreement_score":0.0017862066,"about_ca_system_score_codex":0.0004084352,"about_ca_system_score_gemma":0.0002621998,"threshold_uncertainty_score":0.0035439134},"labels":[],"label_agreement":null},{"id":"W52800759","doi":"10.1007/s002590000375","title":"Comparison of the accumulation and efflux kinetics of technetium-99m sestamibi and technetium-99m tetrofosmin in an MRP-expressing tumour cell line","year":2000,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Efflux; P-glycoprotein; Multidrug resistance-associated protein 2; Technetium Tc 99m Sestamibi; Cell culture; Chemistry; Technetium; Verapamil; Multiple drug resistance; Technetium (99mTc) sestamibi; Multidrug Resistance-Associated Proteins; ATP-binding cassette transporter; Molecular biology; Pharmacology; Cancer research; Transporter; Medicine; Nuclear medicine; Biology; Biochemistry; Scintigraphy; Gene; Calcium","score_opus":0.021333611722950226,"score_gpt":0.29704980943111053,"score_spread":0.2757161977081603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W52800759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933496,0.0013449293,0.003358201,0.00008038775,0.000020037896,0.00001750412,0.00037232364,0.000077513374,0.0013795764],"genre_scores_gemma":[0.99121666,0.00073799543,0.004192386,0.000030210796,0.000009264207,0.000028035545,0.000793289,0.0000529453,0.002939308],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983156,0.000041113686,0.000013556123,0.00002906009,0.00004435371,0.000040370418],"domain_scores_gemma":[0.99958605,0.00022612757,0.00003650805,0.000035532456,0.00008160016,0.000034194567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030038028,0.00024159347,0.0004726951,0.00028680512,0.00018698444,0.0006045621,0.00022661536,0.0005321215,0.0007929202],"category_scores_gemma":[0.00047242484,0.00023244844,0.00025225861,0.00039942987,0.00020698574,0.00052737485,0.00010747985,0.0005745942,0.00044952022],"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":[0.00042020547,0.000022815331,0.00030464717,0.000029648229,0.000008393308,0.00006952608,0.00004431967,0.00015925216,0.99737346,0.00013939932,0.000037134436,0.0013911598],"study_design_scores_gemma":[0.000028784292,0.00054113986,0.0070831953,0.0000034865666,0.00003951772,0.00047911436,0.000064552536,0.005103471,0.98539275,0.000042119784,0.0012066807,0.0000152211915],"about_ca_topic_score_codex":0.00283229,"about_ca_topic_score_gemma":0.0016042092,"teacher_disagreement_score":0.00283229,"about_ca_system_score_codex":0.000359558,"about_ca_system_score_gemma":0.00028552447,"threshold_uncertainty_score":0.0056316257},"labels":[],"label_agreement":null},{"id":"W857852204","doi":"10.1007/s00259-015-3072-z","title":"Very high coronary artery calcium score with normal myocardial perfusion SPECT imaging is associated with a moderate incidence of severe coronary artery disease","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Cardiac Imaging and Diagnostics","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":"London Health Sciences Centre","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Coronary artery disease; Myocardial perfusion imaging; Myocardial infarction; Revascularization; Percutaneous coronary intervention","score_opus":0.014381111286772224,"score_gpt":0.23047020608861507,"score_spread":0.21608909480184285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W857852204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994159,0.00013061405,0.000082777864,0.000027238053,0.000003983376,0.0000030344413,0.00003838259,0.0000032255164,0.00029495166],"genre_scores_gemma":[0.9998072,0.00003372574,0.00004528861,0.0000117006775,0.000013115151,0.0000015199375,0.000050022845,7.374582e-7,0.00003666506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995073,0.00013945636,0.00008136551,0.00009208225,0.000100985104,0.000078723075],"domain_scores_gemma":[0.99737597,0.00038103244,0.0014075591,0.000117620715,0.00014078672,0.0005770549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047741403,0.00036862478,0.0003622363,0.00096046634,0.00037884116,0.00055675,0.00028674526,0.0006389374,0.0027388064],"category_scores_gemma":[0.0021837791,0.0002643641,0.000261933,0.00063768117,0.00060524675,0.0003725748,0.00055939733,0.0005113308,0.00030637826],"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":[0.00008831109,0.000018793247,0.99859196,0.0000064511783,0.000017407636,0.0002965563,0.00001487227,0.000012831952,0.00043360243,0.000010623645,0.000027799319,0.0004805956],"study_design_scores_gemma":[0.000005913792,0.000119210876,0.9960121,0.000004882977,0.000019736302,0.0034550584,0.00006621254,0.00012770887,0.00010945594,0.000030057783,0.00004650617,0.0000031190223],"about_ca_topic_score_codex":0.00047198756,"about_ca_topic_score_gemma":0.00076133595,"teacher_disagreement_score":0.0027388064,"about_ca_system_score_codex":0.00011983329,"about_ca_system_score_gemma":0.00020114527,"threshold_uncertainty_score":0.009162188},"labels":[],"label_agreement":null}]}