{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"27c72b48eef4","filters":{"venue":"npj Imaging"}},"results":[{"id":"W4392511208","doi":"10.1038/s44303-023-00005-z","title":"Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images","year":2024,"lang":"en","type":"article","venue":"npj Imaging","topic":"AI in cancer detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Université Laval; Université de Montréal; Canada First Research Excellence Fund; Centre Hospitalier Universitaire de Québec; McGill University Health Centre; McGill University","keywords":"Prostate cancer; Malignancy; Histology; Medicine; Artificial intelligence; Prostate; Cancer; Computer science; Pathology; Internal medicine","authors":[{"name":"Okyaz Eminağa","is_ca":false},{"name":"Fred Saad","is_ca":true},{"name":"Zhe Tian","is_ca":true},{"name":"Ulrich Wolffgang","is_ca":false},{"name":"Pierre I. Karakiewicz","is_ca":true},{"name":"Véronique Ouellet","is_ca":true},{"name":"Féryel Azzi","is_ca":true},{"name":"Tilmann Spieker","is_ca":false},{"name":"Burkhard Helmke","is_ca":false},{"name":"Markus Graefen","is_ca":false},{"name":"Xiaoyi Jiang","is_ca":false},{"name":"Lei Xing","is_ca":false},{"name":"Jörn H. Witt","is_ca":false},{"name":"Dominique Trudel","is_ca":true},{"name":"Sami‐Ramzi Leyh‐Bannurah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01983742175380213,"gpt":0.298922384383597,"spread":0.2790849626297948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073637,0.000567177,0.0003694792,0.002473617,0.0001974639,0.001442727,0.0004190191,0.0006080452,0.0005776649],"category_scores_gemma":[0.005017542,0.0002063674,0.0004456653,0.001134789,0.0003884933,0.0008141354,0.0005078454,0.0005967208,0.0002688899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004387,"about_ca_system_score_gemma":0.0003701654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880402,"about_ca_topic_score_gemma":0.005488259,"domain_scores_codex":[0.9994843,0.0001652457,0.00004624607,0.0001230714,0.0001267796,0.00005433458],"domain_scores_gemma":[0.998727,0.0004912925,0.0002832605,0.0001655269,0.0002798919,0.00005300112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000432793,0.0002216251,0.1261128,0.0004139297,0.0003462562,0.0004672107,0.0005012731,0.1039763,0.06735921,0.006326847,0.006606326,0.6872354],"study_design_scores_gemma":[0.00001880751,0.0001529236,0.09570078,0.00009052046,0.000145107,0.0005197323,0.0002620001,0.8542448,0.02723362,0.01490841,0.006666468,0.00005683196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5844498,0.002176907,0.4017676,0.001351362,0.0001704715,0.0001488908,0.001672541,0.001730419,0.00653197],"genre_scores_gemma":[0.9167755,0.0007368053,0.0799206,0.0002104478,0.0000925637,0.00003099245,0.001236297,0.00006667005,0.0009301841],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002880402,"threshold_uncertainty_score":0.005727232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414393464","doi":"10.1038/s44303-025-00104-z","title":"Radiomics in preclinical imaging research: methods, challenges and opportunities","year":2025,"lang":"en","type":"review","venue":"npj Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Capital District Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Beatrice Hunter Cancer Research Institute; Cancer Research Institute","keywords":"Radiomics; Context (archaeology); Medical imaging; Disease; Precision medicine","authors":[{"name":"Vlora Riberdy","is_ca":true},{"name":"Alessandro Guida","is_ca":true},{"name":"James Rioux","is_ca":true},{"name":"Kimberly Brewer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4077714123931623,"gpt":0.5648616776765055,"spread":0.1570902652833432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007823958,0.001031683,0.002488518,0.003298652,0.0004367341,0.003319554,0.001981784,0.002751551,0.002885811],"category_scores_gemma":[0.005619818,0.0006974337,0.0008832802,0.002492047,0.003120625,0.004017305,0.001612697,0.004980868,0.002218945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348473,"about_ca_system_score_gemma":0.002136109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267228,"about_ca_topic_score_gemma":0.001656525,"domain_scores_codex":[0.997991,0.0007701883,0.0001603251,0.0002525202,0.0007135288,0.0001124181],"domain_scores_gemma":[0.9925411,0.005476483,0.0004969349,0.000243442,0.001067195,0.0001748311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001323899,0.0001407829,0.0006055383,0.01693394,0.0001535925,0.000335082,0.0002085806,0.001301425,0.009613609,0.03498831,0.0205231,0.9150636],"study_design_scores_gemma":[0.00002631254,0.0003112396,0.001019796,0.006402836,0.0001934042,0.002869486,0.0001859578,0.00125349,0.009717206,0.01885825,0.9590389,0.0001231097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002824586,0.9911885,0.004909781,0.00128672,0.0003408265,0.00002262577,0.00002662364,0.00004052862,0.0019019],"genre_scores_gemma":[0.003335034,0.9898008,0.00451202,0.0007552535,0.0006385966,0.00005205308,0.00005513942,0.00002272868,0.000828431],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007823958,"threshold_uncertainty_score":0.04137754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401759559","doi":"10.1038/s44303-024-00032-4","title":"Emerging targets for positron emission tomography imaging in proteinopathies","year":2024,"lang":"en","type":"review","venue":"npj Imaging","topic":"Neurological diseases and metabolism","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Canada Research Chairs","keywords":"Positron emission tomography; Neurodegeneration; Neuropathology; Neuroscience; Pet imaging; Medicine; Disease; Psychology; Pathology","authors":[{"name":"Melissa Chassé","is_ca":true},{"name":"Neil Vasdev","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03416103149250024,"gpt":0.3500614705938315,"spread":0.3159004391013313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009783021,0.001164531,0.001638143,0.002330923,0.0002250959,0.001266117,0.00111805,0.001718408,0.003427874],"category_scores_gemma":[0.0006607978,0.0003941472,0.000631789,0.002043102,0.000636888,0.001899437,0.0009703486,0.002932928,0.003065341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008915747,"about_ca_system_score_gemma":0.000870403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008075063,"about_ca_topic_score_gemma":0.001463934,"domain_scores_codex":[0.999777,0.00005346033,0.00002613148,0.00003821855,0.00007489939,0.00003041428],"domain_scores_gemma":[0.9997066,0.0001446306,0.00003462294,0.000009382147,0.00007664583,0.00002811826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008954266,0.00006904555,0.0001828861,0.01139576,0.0001064266,0.0004296005,0.00005899727,0.0005397557,0.003408998,0.008405564,0.04665285,0.9286605],"study_design_scores_gemma":[0.00002418347,0.00007701877,0.000445015,0.002276509,0.00009026451,0.001961788,0.00003980555,0.0001775844,0.0007174278,0.003606798,0.9905614,0.0000221703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006716203,0.9984924,0.0002094859,0.0003253735,0.0001545313,0.000003836181,0.00001239814,0.00001060666,0.0007242375],"genre_scores_gemma":[0.0004560735,0.9983214,0.0002492046,0.0002714308,0.0001822787,0.000009766037,0.00003189773,0.000002703438,0.0004753789],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003427874,"threshold_uncertainty_score":0.01146734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414428205","doi":"10.1038/s44303-025-00108-9","title":"Super-resolution imaging with nanopipettes","year":2025,"lang":"en","type":"article","venue":"npj Imaging","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Aarhus Universitets Forskningsfond; National Natural Science Foundation of China; Sino-Danish Center; Villum Fonden; Danmarks Frie Forskningsfond; Eberhard Karls Universität Tübingen","keywords":"Pipette; Deconvolution; Nanoscopic scale; Resolution (logic); Microscopy; Image resolution; Biological imaging; Scale (ratio)","authors":[{"name":"Steffan Møller Sønderskov","is_ca":false},{"name":"Lasse Hyldgaard Klausen","is_ca":false},{"name":"Sebastian Amland Skaanvik","is_ca":true},{"name":"Xiaojun Han","is_ca":false},{"name":"Mingdong Dong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002414531155575371,"gpt":0.2464322005018176,"spread":0.2440176693462422,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004121778,0.0003276865,0.0003191226,0.0005096595,0.0001956695,0.0003398964,0.0006688978,0.0007067486,0.001499335],"category_scores_gemma":[0.0007839589,0.0003428346,0.0002877553,0.0003653498,0.0003008216,0.0006033545,0.0008277198,0.0008081829,0.0006499084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226038,"about_ca_system_score_gemma":0.0002655347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007779466,"about_ca_topic_score_gemma":0.001098471,"domain_scores_codex":[0.9997106,0.00003091275,0.00001613806,0.00008080474,0.0001312709,0.00003031516],"domain_scores_gemma":[0.9995432,0.0001904799,0.00005562965,0.0001080796,0.00007511261,0.0000276219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005819449,0.00001299379,0.0002408098,0.0001312049,0.00001722131,0.0001178206,0.00005141164,0.003861625,0.9783385,0.001729141,0.0006528308,0.01478817],"study_design_scores_gemma":[0.00001892543,0.0001024626,0.002921939,0.00002913531,0.00001628448,0.0007164485,0.00003949918,0.2116631,0.7703973,0.002268421,0.01176983,0.00005665436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1779606,0.001963787,0.8091339,0.0003890055,0.0001230875,0.0001683811,0.0009380741,0.003730137,0.005593087],"genre_scores_gemma":[0.3389169,0.001050228,0.6559883,0.0001681886,0.00005213953,0.0001551974,0.0008147864,0.0002449612,0.002609204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001499335,"threshold_uncertainty_score":0.005015731,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406782167","doi":"10.1038/s44303-024-00056-w","title":"Molecular imaging of viral pathogenesis and opportunities for the future","year":2025,"lang":"en","type":"review","venue":"npj Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Beatrice Hunter Cancer Research Institute; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; IWK Health Centre","keywords":"Molecular imaging; Pathogenesis; Computational biology; Viral pathogenesis; Viral infection; Molecular virology; Molecular diagnostics; Disease; Medicine; Biology; Virology; Bioinformatics; Pathology; Virus; Genetics; Viral replication","authors":[{"name":"Brianna Kelly","is_ca":true},{"name":"Jeanette E. Boudreau","is_ca":true},{"name":"Steven Beyea","is_ca":true},{"name":"Kimberly Brewer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04830817108298782,"gpt":0.3647185072147408,"spread":0.316410336131753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008969021,0.000661304,0.0009800564,0.001891671,0.0003317442,0.00131548,0.0007796788,0.001563551,0.004587405],"category_scores_gemma":[0.0007745476,0.0002914198,0.0004967898,0.001330665,0.0008457736,0.002218332,0.0007269512,0.002340513,0.002638283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913196,"about_ca_system_score_gemma":0.001058278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107,"about_ca_topic_score_gemma":0.001821486,"domain_scores_codex":[0.9998097,0.00004629706,0.00001485784,0.00002651294,0.00007584246,0.00002679882],"domain_scores_gemma":[0.9996693,0.0001639317,0.0000341585,0.00001177483,0.00008712112,0.00003370579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007419907,0.0000732395,0.0001442186,0.01260229,0.00004994224,0.0002884191,0.0001194312,0.0004355464,0.004655528,0.01596914,0.04619616,0.9193919],"study_design_scores_gemma":[0.000006753729,0.00004887656,0.0002837002,0.002003918,0.00002508913,0.001057294,0.00005799084,0.00009934229,0.0006648768,0.003756037,0.9919822,0.00001392909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008183112,0.9976696,0.0001574825,0.0005054573,0.0001980441,0.000002609387,0.000008687113,0.00000733613,0.001368817],"genre_scores_gemma":[0.0006866572,0.9977865,0.0002456185,0.0002986275,0.0001781634,0.000004906267,0.000016865,0.000001916668,0.000780648],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004587405,"threshold_uncertainty_score":0.01534641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414195141","doi":"10.1038/s44303-025-00101-2","title":"Post Pandemic Problem, is there an animal model suitable to investigate PASC","year":2025,"lang":"en","type":"review","venue":"npj Imaging","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Infection and Immunity","funders":"ZonMw","keywords":"Pandemic; Animal model; Replicate; Modalities; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","authors":[{"name":"Julia van der Bie","is_ca":false},{"name":"Anthony Coléon","is_ca":false},{"name":"Denise Visser","is_ca":false},{"name":"Willy Bogers","is_ca":false},{"name":"Jeroen den Dunnen","is_ca":true},{"name":"Henri M.H. Spronk","is_ca":false},{"name":"Jan A. M. Langermans","is_ca":false},{"name":"Hanneke L.D.M. Willemen","is_ca":false},{"name":"Guilherme Dias de Melo","is_ca":false},{"name":"Jinte Middeldorp","is_ca":false},{"name":"Marieke A. Stammes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03666978579859981,"gpt":0.3688331723248408,"spread":0.332163386526241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00160242,0.0004431299,0.001389913,0.001250224,0.0002712061,0.001657495,0.0007143401,0.001595241,0.004284486],"category_scores_gemma":[0.002804396,0.000229062,0.001025148,0.0008335833,0.0006385914,0.00239108,0.0004841803,0.001607652,0.001623125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005248524,"about_ca_system_score_gemma":0.001558025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163177,"about_ca_topic_score_gemma":0.002168086,"domain_scores_codex":[0.9995161,0.0001728089,0.00008519443,0.00006297703,0.0001232425,0.00003968027],"domain_scores_gemma":[0.9984756,0.0009465559,0.0002206463,0.00005361637,0.0002535702,0.00005004502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004338858,0.0001204029,0.0007648165,0.104751,0.0005081648,0.0005711737,0.0002689715,0.0003000067,0.01144911,0.009124254,0.05012539,0.8215829],"study_design_scores_gemma":[0.00004173948,0.0002435201,0.001149242,0.0206761,0.0006823096,0.001977719,0.0002587773,0.00009519793,0.002978015,0.003007274,0.9688522,0.0000378325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004243701,0.9946305,0.0004725847,0.001637801,0.0006545974,0.00002899719,0.000089409,0.0000147787,0.00204688],"genre_scores_gemma":[0.003181138,0.9926062,0.001209416,0.001209966,0.0004428572,0.00004315133,0.0001222866,0.000009212075,0.001175817],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004284486,"threshold_uncertainty_score":0.01433301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404110295","doi":"10.1038/s44303-024-00051-1","title":"Impact of dietary zinc on stimulated zinc secretion MRI in the healthy and malignant mouse prostate","year":2024,"lang":"en","type":"article","venue":"npj Imaging","topic":"Trace Elements in Health","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas","keywords":"Zinc; Secretion; Prostate; Prostate gland; Internal medicine; Medicine; Endocrinology; Cancer research; Pathology; Oncology; Chemistry; Cancer","authors":[{"name":"Veronica Clavijo Jordan","is_ca":false},{"name":"André F. Martins","is_ca":false},{"name":"E. Han Dao","is_ca":true},{"name":"Kalotina Geraki","is_ca":false},{"name":"Sara Chirayil","is_ca":false},{"name":"Xiaodong Wen","is_ca":false},{"name":"Pooyan Khalighinejad","is_ca":false},{"name":"Daniel Parrott","is_ca":false},{"name":"Xiaojing Wang","is_ca":false},{"name":"Patricia Gonzalez Pagan","is_ca":false},{"name":"Neil M. Rofsky","is_ca":false},{"name":"Michael Farquharson","is_ca":true},{"name":"A. Dean Sherry","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02143868465692103,"gpt":0.354914471426612,"spread":0.3334757867696909,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003437957,0.0004663612,0.0003736574,0.0007246241,0.0001854891,0.0003621358,0.0003025696,0.0004842223,0.001356265],"category_scores_gemma":[0.000155759,0.0003375056,0.0003249101,0.0002583094,0.0005008553,0.0003298875,0.0003197692,0.000816772,0.0001948776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349249,"about_ca_system_score_gemma":0.000224207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390757,"about_ca_topic_score_gemma":0.002728969,"domain_scores_codex":[0.9997889,0.00003977583,0.00001152694,0.00005154409,0.00004924886,0.00005902941],"domain_scores_gemma":[0.9997796,0.00002855726,0.00006360502,0.00001887581,0.00002381842,0.00008549137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007889057,0.00004247213,0.000223435,0.00002597698,0.000005422178,0.00003237691,0.00001880951,0.00002776074,0.9980482,0.00003695392,0.00002430839,0.0007253683],"study_design_scores_gemma":[0.00005507369,0.001263439,0.005534897,0.000007452937,0.00003828718,0.0001915321,0.00006626634,0.0006276739,0.9911829,0.00005826273,0.0009639039,0.00001030883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942964,0.001033711,0.002730831,0.0001550006,0.00002574713,0.00004285543,0.0004382695,0.0001833873,0.0010938],"genre_scores_gemma":[0.9857168,0.001365801,0.006477253,0.0001353073,0.00001359213,0.000106544,0.0005188175,0.0001199237,0.005545886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390757,"threshold_uncertainty_score":0.004537165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411670532","doi":"10.1038/s44303-025-00096-w","title":"Aldehydic load as an objective imaging biomarker of mild traumatic brain injury","year":2025,"lang":"en","type":"article","venue":"npj Imaging","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institutes of Health Research; Government of Ontario","keywords":"Traumatic brain injury; Biomarker; Medicine; Neuroimaging; Neuroscience; Psychology; Chemistry; Psychiatry; Biochemistry","authors":[{"name":"Alexia Kirby","is_ca":true},{"name":"Cian Ward","is_ca":true},{"name":"Clara S. Goulet","is_ca":true},{"name":"Ryan Daniel","is_ca":true},{"name":"Joseph Wai-Hin Leung","is_ca":true},{"name":"Ashwin Sharma","is_ca":true},{"name":"Mojmı́r Suchý","is_ca":true},{"name":"Cassandra M. Donatelli","is_ca":true},{"name":"Jing Wang","is_ca":true},{"name":"Emily M. Standen","is_ca":true},{"name":"Adam J. Shuhendler","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02319275783532932,"gpt":0.3292442411494046,"spread":0.3060514833140753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146383,0.0005201197,0.000223364,0.000625756,0.0001218299,0.0003234232,0.000162978,0.0003710279,0.0007237655],"category_scores_gemma":[0.0001947331,0.000220869,0.0001465313,0.0001917945,0.0002864168,0.0003725463,0.0003031817,0.0004454655,0.0001508819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609046,"about_ca_system_score_gemma":0.0001412239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006704662,"about_ca_topic_score_gemma":0.001594096,"domain_scores_codex":[0.9998609,0.00003166302,0.000009015444,0.00003051745,0.00004134618,0.00002649501],"domain_scores_gemma":[0.9998236,0.00002152171,0.0000623648,0.00001327405,0.00003606257,0.00004313811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001403024,0.00001293555,0.0007625048,0.00003345875,0.000006641409,0.00003361726,0.00001673441,0.00002699196,0.9980435,0.00002484061,0.00001121759,0.0008871961],"study_design_scores_gemma":[0.000009830209,0.0006378313,0.02242696,0.00001217664,0.00004862496,0.0004974558,0.00007495555,0.0008314796,0.9743695,0.00008080378,0.0009970416,0.00001322909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686621,0.005130948,0.02365002,0.00009331632,0.00003902566,0.00007457764,0.000314709,0.0001429859,0.001892434],"genre_scores_gemma":[0.9759616,0.002693619,0.01751407,0.00008151811,0.00002328996,0.00007524159,0.0003705918,0.00002382376,0.003256194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007237655,"threshold_uncertainty_score":0.00242126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400427682","doi":"10.1038/s44303-024-00026-2","title":"Author Correction: Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images","year":2024,"lang":"en","type":"article","venue":"npj Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Prostate cancer; Malignancy; Artificial intelligence; Prostate; Medicine; Computer science; Cancer; Pathology; Internal medicine","authors":[{"name":"Okyaz Eminağa","is_ca":false},{"name":"Fred Saad","is_ca":true},{"name":"Zhe Tian","is_ca":true},{"name":"Ulrich Wolffgang","is_ca":false},{"name":"Pierre I. Karakiewicz","is_ca":true},{"name":"Véronique Ouellet","is_ca":true},{"name":"Féryel Azzi","is_ca":true},{"name":"Tilmann Spieker","is_ca":false},{"name":"Burkhard Helmke","is_ca":false},{"name":"Markus Graefen","is_ca":false},{"name":"Xiaoyi Jiang","is_ca":false},{"name":"Lei Xing","is_ca":false},{"name":"Jörn H. Witt","is_ca":false},{"name":"Dominique Trudel","is_ca":true},{"name":"Sami‐Ramzi Leyh‐Bannurah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01951773882064771,"gpt":0.3431405216929636,"spread":0.3236227828723159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004727357,0.001821845,0.001864975,0.003770782,0.002355995,0.003391705,0.003451839,0.00560326,0.08356646],"category_scores_gemma":[0.1251487,0.001054718,0.001636298,0.002422769,0.002495057,0.001988446,0.002087093,0.00848238,0.03563205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114601,"about_ca_system_score_gemma":0.003659687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006265255,"about_ca_topic_score_gemma":0.007514919,"domain_scores_codex":[0.9937332,0.001164044,0.001358099,0.001135761,0.00212731,0.0004815777],"domain_scores_gemma":[0.9381248,0.0192371,0.002525376,0.00589251,0.03230021,0.001919889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008735168,0.000007298197,0.000199247,0.0003091887,0.00003796123,0.0006603707,0.00009509992,0.00009195047,0.0001909245,0.001267515,0.9867425,0.01031069],"study_design_scores_gemma":[0.0001185549,0.00004553952,0.00188023,0.0007728497,0.0001248419,0.004134299,0.0002331943,0.001140233,0.001564782,0.005561098,0.9843333,0.00009100069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005929533,0.0008203794,0.003447963,0.04012239,0.9496202,0.00003742143,0.002054129,0.0009909411,0.00231352],"genre_scores_gemma":[0.09755976,0.009334104,0.03408271,0.1026247,0.4997469,0.0007012024,0.007872103,0.00803129,0.2400472],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08356646,"threshold_uncertainty_score":0.2795576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414847531","doi":"10.1038/s44303-025-00114-x","title":"Author Correction: Aldehydic load as an objective imaging biomarker of mild traumatic brain injury","year":2025,"lang":"en","type":"erratum","venue":"npj Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Traumatic brain injury; Biomarker; Imaging biomarker; Neuroimaging","authors":[{"name":"Alexia Kirby","is_ca":true},{"name":"Cian Ward","is_ca":true},{"name":"Clara S. Goulet","is_ca":true},{"name":"Ryan Daniel","is_ca":true},{"name":"Joseph Wai-Hin Leung","is_ca":true},{"name":"Ashwin Sharma","is_ca":true},{"name":"Mojmı́r Suchý","is_ca":true},{"name":"Cassandra M. Donatelli","is_ca":true},{"name":"Jing Wang","is_ca":true},{"name":"Emily M. Standen","is_ca":true},{"name":"Adam J. Shuhendler","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03074674445089826,"gpt":0.3780475325200032,"spread":0.3473007880691049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003382959,0.001648357,0.001514471,0.002941154,0.002346189,0.003377155,0.002563377,0.006069583,0.03598849],"category_scores_gemma":[0.04855072,0.0008689807,0.00133037,0.001653533,0.001956616,0.001762384,0.00142661,0.01009945,0.02656775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279344,"about_ca_system_score_gemma":0.004066106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007757247,"about_ca_topic_score_gemma":0.009498172,"domain_scores_codex":[0.9967154,0.0004923534,0.0006206877,0.00051791,0.00141724,0.0002363563],"domain_scores_gemma":[0.9756211,0.006532224,0.001009334,0.001366675,0.01456976,0.000900991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003709093,0.000005934322,0.0001025404,0.00008974315,0.000009843568,0.0006188089,0.00003434134,0.0000271243,0.00008189705,0.00067044,0.9902639,0.008058242],"study_design_scores_gemma":[0.00005098017,0.00003108089,0.000709986,0.0004061752,0.00006060584,0.005454346,0.0001137591,0.000294265,0.0009255906,0.001664287,0.9902379,0.00005094731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003144565,0.00140941,0.001201675,0.04484977,0.9480244,0.00002436112,0.0006346178,0.00034633,0.003195058],"genre_scores_gemma":[0.02970335,0.01622095,0.01173905,0.1098778,0.4975235,0.0002498411,0.003798309,0.003135903,0.3277512],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03598849,"threshold_uncertainty_score":0.1203935,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415583871","doi":"10.1038/s44303-026-00157-8","title":"MRI of combination immunotherapy in an epithelial ovarian cancer preclinical model","year":2025,"lang":"en","type":"article","venue":"npj Imaging","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ottawa Hospital; Dalhousie University; Izaak Walton Killam Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University; Beatrice Hunter Cancer Research Institute; Cancer Research Institute","keywords":"Immunotherapy; CD8; Ovarian cancer; Immune system; Cyclophosphamide; Myeloid; Cancer; Myeloid cells","authors":[{"name":"Caitrin Sobey Skelton","is_ca":true},{"name":"Marie‐Laurence Tremblay","is_ca":true},{"name":"Hailey Wyatt","is_ca":true},{"name":"Victoria González","is_ca":true},{"name":"Bassel Dawod","is_ca":true},{"name":"Andrea Nuschke","is_ca":true},{"name":"Christa Davis","is_ca":true},{"name":"Brennan S. Dirk","is_ca":false},{"name":"Ava Vila-Leahey","is_ca":false},{"name":"Alecia MacKay","is_ca":false},{"name":"Andrea West","is_ca":true},{"name":"Barbara C. Vanderhyden","is_ca":true},{"name":"Genevieve Weir","is_ca":false},{"name":"Alexandra Merkx-Jacques","is_ca":false},{"name":"Marianne M. Stanford","is_ca":true},{"name":"Оlga Hrytsenko","is_ca":false},{"name":"Kimberly Brewer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05795235205797135,"gpt":0.3491583609906065,"spread":0.2912060089326352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000228293,0.0004131432,0.0003285201,0.0004790216,0.0001149204,0.000193232,0.0002910638,0.0004525703,0.001821135],"category_scores_gemma":[0.00009255704,0.0001951696,0.0002431181,0.0002736518,0.0001748687,0.000225762,0.00018347,0.0005648683,0.0004952991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413142,"about_ca_system_score_gemma":0.0002300856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959325,"about_ca_topic_score_gemma":0.0005797841,"domain_scores_codex":[0.9998841,0.00001777938,0.000006802621,0.0000268629,0.00003608918,0.00002826409],"domain_scores_gemma":[0.9999045,0.00001096863,0.00003149388,0.00001135493,0.00001550947,0.00002616329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006046364,0.0002204917,0.0002040814,0.0000770233,0.000008891537,0.0001125303,0.00001665053,0.0003261283,0.994312,0.000153476,0.0002592558,0.003704878],"study_design_scores_gemma":[0.0002203318,0.00747421,0.003555214,0.0000209608,0.00008979839,0.001099238,0.00003652736,0.006450343,0.9691483,0.0001596569,0.01173286,0.00001263098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663098,0.005027425,0.01756284,0.0005178805,0.0002268201,0.0003477346,0.0008178392,0.0004574887,0.008732225],"genre_scores_gemma":[0.967918,0.003074237,0.01386538,0.0001936341,0.00008729286,0.0004520399,0.0009972899,0.00007062648,0.01334132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001821135,"threshold_uncertainty_score":0.00609231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405950205","doi":"10.1038/s44303-024-00063-x","title":"Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers","year":2024,"lang":"en","type":"article","venue":"npj Imaging","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Sunnybrook Hospital; Vector Institute; Ontario Brain Institute; Sunnybrook Health Science Centre; University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluid-attenuated inversion recovery; Medicine; Biomarker; Internal medicine; Disease; Imaging biomarker; Subgroup analysis; Oncology; White matter; Magnetic resonance imaging; Confidence interval; Radiology; Biology","authors":[{"name":"Karissa Chan","is_ca":true},{"name":"Corinne E. Fischer","is_ca":true},{"name":"Pejman Maralani","is_ca":true},{"name":"Sandra E. Black","is_ca":true},{"name":"Alan R. Moody","is_ca":true},{"name":"April Khademi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006015041518542001,"gpt":0.2478737102884903,"spread":0.2418586687699483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515745,0.0007373168,0.001092888,0.003655902,0.0005019141,0.001436838,0.0004166323,0.000642218,0.0005610283],"category_scores_gemma":[0.003060855,0.0001738207,0.0009707442,0.0008988652,0.0002999899,0.0007202702,0.0006583868,0.0005605241,0.0002989239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004212411,"about_ca_system_score_gemma":0.000965027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003441882,"about_ca_topic_score_gemma":0.004343234,"domain_scores_codex":[0.9993896,0.0002036708,0.00007203778,0.0001372286,0.00009348672,0.0001038561],"domain_scores_gemma":[0.9992558,0.0002406644,0.0002144874,0.00007511866,0.000127913,0.00008592568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001577685,0.0003973627,0.7931815,0.0001214249,0.0005299586,0.0004164172,0.00049411,0.009114286,0.01206998,0.001790968,0.001707456,0.1785988],"study_design_scores_gemma":[0.0002968399,0.002144824,0.7186684,0.000280961,0.001103068,0.001824307,0.001646243,0.2293516,0.008018349,0.03116702,0.00528094,0.0002174329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223345,0.0018611,0.07192655,0.0008924617,0.00005365551,0.000247531,0.0006815583,0.0002890102,0.001713691],"genre_scores_gemma":[0.9755747,0.0002556436,0.02299488,0.0001544525,0.0000644524,0.00005936931,0.0006078889,0.00001565142,0.0002731038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003655902,"threshold_uncertainty_score":0.008016109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}