{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":60,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":60,"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":"a9835d3b2b6a","filters":{"venue":"IEEE Transactions on Radiation and Plasma Medical Sciences"}},"results":[{"id":"W4255452789","doi":"10.1109/trpms.2021.3135118","title":"Low-Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":153,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council; Vlaamse regering; Polytechnique Montréal; Huazhong University of Science and Technology; Universiteit Antwerpen; North Carolina State University; Centre National de la Recherche Scientifique; College of Medicine, Drexel University; Fonds Wetenschappelijk Onderzoek; Queensland University of Technology; Old Dominion University; Drexel University; George Washington University","keywords":"Engineering ethics; Plasma medicine; Field (mathematics); Perspective (graphical); Nanotechnology; Computer science; Atmospheric-pressure plasma; Engineering; Physics; Plasma; Artificial intelligence; Materials science","authors":[{"name":"Mounir Laroussi","is_ca":false},{"name":"Sander Bekeschus","is_ca":false},{"name":"Michael Keidar","is_ca":false},{"name":"Annemie Bogaerts","is_ca":false},{"name":"Alexander Fridman","is_ca":false},{"name":"Xinpei Lu","is_ca":false},{"name":"Kostya Ostrikov","is_ca":false},{"name":"Masaru Hori","is_ca":false},{"name":"Katharina Stapelmann","is_ca":false},{"name":"Vandana Miller","is_ca":false},{"name":"Stephan Reuter","is_ca":true},{"name":"Christophe O. Laux","is_ca":false},{"name":"Ali Mesbah","is_ca":false},{"name":"James L. Walsh","is_ca":false},{"name":"Chunqi Jiang","is_ca":false},{"name":"Selma Mededovic Thagard","is_ca":false},{"name":"Hiromasa Tanaka","is_ca":false},{"name":"Dawei Liu","is_ca":false},{"name":"Dayun Yan","is_ca":false},{"name":"Maksudbek Yusupov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02074411593128633,"gpt":0.3182356570973907,"spread":0.2974915411661043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003446885,0.0001378111,0.0002375963,0.0001416557,0.0004885453,0.00004126058,0.00005229972,0.0002035203,0.0001427291],"category_scores_gemma":[0.00028716,0.000102279,0.00003182406,0.0003575395,0.0008460934,0.00008878378,0.000002115537,0.00021423,0.000003368957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002940017,"about_ca_system_score_gemma":0.0002675293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004768441,"about_ca_topic_score_gemma":0.0001487537,"domain_scores_codex":[0.99886,0.00003704831,0.0002043888,0.0004372673,0.0002633482,0.0001979475],"domain_scores_gemma":[0.9983211,0.001038122,0.00004624527,0.00009412799,0.0001086756,0.0003917147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006786031,0.001730805,0.003883084,0.0005124585,0.0004432428,0.00009771866,0.006040788,0.0006039386,0.03719292,0.1440325,0.0092732,0.7955108],"study_design_scores_gemma":[0.04336387,0.01210702,0.03475961,0.00228437,0.001743899,0.004565865,0.03058975,0.3450393,0.3955253,0.02019292,0.1071011,0.002726902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538131,0.0007188755,0.007657148,0.03599269,0.0003816653,0.0003664572,0.00008054491,0.00004604786,0.000943431],"genre_scores_gemma":[0.9932467,0.003829123,0.001257984,0.001228714,0.0001211216,0.00006365635,0.00001572976,0.000006668817,0.0002303372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7927839,"threshold_uncertainty_score":0.4170818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129430687","doi":"10.1109/trpms.2021.3059780","title":"DefED-Net: Deformable Encoder-Decoder Network for Liver and Liver Tumor Segmentation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Computer science; Pyramid (geometry); Artificial intelligence; Segmentation; Pooling; Encoder; Feature (linguistics); Pattern recognition (psychology); Context (archaeology); Convolutional neural network; Convolution (computer science); Computer vision; Artificial neural network; Mathematics","authors":[{"name":"Tao Lei","is_ca":false},{"name":"Risheng Wang","is_ca":true},{"name":"Yuxiao Zhang","is_ca":false},{"name":"Yong Wan","is_ca":false},{"name":"Chang Liu","is_ca":false},{"name":"Asoke K. Nandi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02022248553047958,"gpt":0.2889638330732597,"spread":0.2687413475427802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731754,0.0001101384,0.0001765192,0.00007658157,0.0005123327,0.00007384496,0.00004967002,0.00007955897,0.0004815144],"category_scores_gemma":[0.000118158,0.00008738325,0.00005158934,0.0002378433,0.0002654446,0.0001664431,0.000001743929,0.0002435189,0.000007513218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002985531,"about_ca_system_score_gemma":0.0002155003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006438569,"about_ca_topic_score_gemma":0.00009172214,"domain_scores_codex":[0.9987304,0.00006196171,0.0002153487,0.0002982286,0.0004418968,0.0002522254],"domain_scores_gemma":[0.9990703,0.0004331409,0.00005576235,0.00006468278,0.00003961442,0.0003365075],"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":[0.0001250277,0.0002093795,0.00264275,0.0001821753,0.00008411226,0.00008611145,0.000948202,0.01071214,0.0003696781,0.0008245231,0.003191002,0.9806249],"study_design_scores_gemma":[0.001780207,0.000314868,0.002065599,0.0001085929,0.00009699157,0.0004566532,0.0002188716,0.9805884,0.002079767,0.0001904092,0.01195342,0.0001461824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4964698,0.001208026,0.4927848,0.007595758,0.0007372589,0.0003850358,0.00001454893,0.00006627919,0.0007384797],"genre_scores_gemma":[0.9739388,0.00314012,0.01746516,0.004503842,0.0002332897,0.00004336518,0.00001798587,0.00001200266,0.0006454731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9804787,"threshold_uncertainty_score":0.5272245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088997143","doi":"10.1109/trpms.2020.3025086","title":"PET Parametric Imaging: Past, Present, and Future","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Parametric statistics; Computer science; Mathematics; Statistics","authors":[{"name":"Guobao Wang","is_ca":false},{"name":"Arman Rahmim","is_ca":true},{"name":"Roger N. Gunn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03063024821663897,"gpt":0.3090766629466862,"spread":0.2784464147300472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545158,0.000100689,0.0001490503,0.0001094042,0.000244774,0.00004849215,0.00008835191,0.00005158708,0.0004629752],"category_scores_gemma":[0.00003000677,0.00007403215,0.00003532758,0.0005970059,0.0004186847,0.00009585504,0.000001942511,0.0002852905,0.00001365691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001019268,"about_ca_system_score_gemma":0.00008617732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001905529,"about_ca_topic_score_gemma":8.618038e-7,"domain_scores_codex":[0.9987622,0.00003566525,0.0001808512,0.0003086013,0.0005449728,0.0001677182],"domain_scores_gemma":[0.9989759,0.000191465,0.00004001436,0.00007834019,0.00001874644,0.0006955675],"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":[0.00004509478,0.0002022055,0.001914072,0.00006667791,0.00002369598,0.00004313478,0.0002788895,0.00002492788,0.0001920526,0.001013039,0.03071355,0.9654827],"study_design_scores_gemma":[0.001581427,0.0005166052,0.003253409,0.0000622708,0.00009771771,0.0004646725,0.0003152681,0.5122706,0.001920324,0.0002274009,0.4790392,0.0002511263],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1304823,0.0002577893,0.09316812,0.7736406,0.0002321586,0.0004304255,0.00001862254,0.0002519136,0.00151806],"genre_scores_gemma":[0.9886768,0.00143299,0.00337296,0.005798303,0.0006081245,0.00003246938,0.000003551202,0.000006138997,0.00006869295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9652315,"threshold_uncertainty_score":0.5069254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3142047004","doi":"10.1109/trpms.2021.3071148","title":"Risk Assessment of Computer-Aided Diagnostic Software for Hepatic Resection","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Qatar National Research Fund; Qatar Foundation","keywords":"Computer science; Software; Resection; Medicine; Software engineering; Surgery; Programming language","authors":[{"name":"Yusuf Akhtar","is_ca":false},{"name":"Sarada Prasad Dakua","is_ca":false},{"name":"Alhusain Abdalla","is_ca":true},{"name":"Omar M. Aboumarzouk","is_ca":false},{"name":"Mohammed Yusuf Ansari","is_ca":false},{"name":"Julien Abinahed","is_ca":false},{"name":"Mohamed S. Elakkad","is_ca":false},{"name":"Abdulla Al‐Ansari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1030062713700515,"gpt":0.4566089389144098,"spread":0.3536026675443584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001517272,0.00009512558,0.0002044055,0.0001224955,0.001436908,0.0000154479,0.0001081162,0.0001926517,0.000615433],"category_scores_gemma":[0.001781649,0.00008092413,0.0000530248,0.0005136894,0.0002334003,0.0001350388,0.000002341627,0.0004322433,0.00001348813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008953141,"about_ca_system_score_gemma":0.001101855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007065754,"about_ca_topic_score_gemma":0.004146971,"domain_scores_codex":[0.9976404,0.0006369052,0.0005596993,0.0003069172,0.0005798017,0.0002762635],"domain_scores_gemma":[0.9872022,0.01200193,0.0002059572,0.0001167405,0.0002415928,0.0002315991],"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":[0.00007957289,0.0004366115,0.1438224,0.0007062703,0.00005992975,0.000008718204,0.003086337,0.01930097,0.0000681328,0.002387079,0.001017949,0.829026],"study_design_scores_gemma":[0.0007396403,0.001184226,0.02822241,0.0006360997,0.00006247919,0.00000765007,0.001952567,0.9593204,0.003535451,0.002484997,0.001639779,0.0002142882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4685375,0.00004278377,0.5263563,0.002496606,0.001953824,0.0004367143,0.00007049263,0.00003944375,0.00006630365],"genre_scores_gemma":[0.9916798,0.0009559176,0.006483204,0.0004629487,0.0001631769,0.0001661492,0.000008147244,0.000006782713,0.00007381429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9400194,"threshold_uncertainty_score":0.9998631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909587126","doi":"10.1109/trpms.2019.2893860","title":"Creating Robust Predictive Radiomic Models for Data From Independent Institutions Using Normalization","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Normalization (sociology); Standardization; Feature selection; Artificial intelligence; Computer science; Pattern recognition (psychology); Feature (linguistics); Data mining; Logistic regression; Outlier; Machine learning","authors":[{"name":"Avishek Chatterjee","is_ca":true},{"name":"Martin Vallières","is_ca":true},{"name":"Anthony Dohan","is_ca":true},{"name":"Ives R. Levesque","is_ca":true},{"name":"Yoshiko Ueno","is_ca":true},{"name":"Sameh Saif","is_ca":true},{"name":"Caroline Reinhold","is_ca":true},{"name":"Jan Seuntjens","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08403753685768459,"gpt":0.3391682313430357,"spread":0.2551306944853511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008087641,0.0001308381,0.0002230478,0.0001931777,0.0005092944,0.00007805599,0.0002106261,0.0001406442,0.0003003914],"category_scores_gemma":[0.0001603342,0.0001080499,0.00004625477,0.0002886124,0.0002576871,0.0005434325,0.000005102689,0.000325585,0.000008005579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008268651,"about_ca_system_score_gemma":0.0005190839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004656435,"about_ca_topic_score_gemma":0.00004653357,"domain_scores_codex":[0.9982536,0.00006165704,0.0003037883,0.0004756506,0.000679881,0.0002254187],"domain_scores_gemma":[0.9989163,0.00044181,0.00009934391,0.0002044388,0.00003835912,0.000299732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002223,0.0002233139,0.002758938,0.00006006122,0.0001192524,0.000007186177,0.0006302429,0.9333106,0.0005533975,0.001145726,0.0001803687,0.06078864],"study_design_scores_gemma":[0.001712932,0.0002187757,0.0004311544,0.0001510125,0.0001066336,0.0000553171,0.0001669547,0.9960631,0.0002256186,0.0001604927,0.0005923493,0.0001156325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3400244,0.00006106821,0.6573608,0.001060781,0.0005191028,0.000342678,0.00007898259,0.00004245399,0.0005097151],"genre_scores_gemma":[0.9884034,0.0002580066,0.01038272,0.0005663773,0.0001527832,0.00001495431,0.0001317654,0.00001076648,0.00007919518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.648379,"threshold_uncertainty_score":0.4406147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2757337418","doi":"10.1109/trpms.2017.2757444","title":"Low Power and Small Area, 6.9 ps RMS Time-to-Digital Converter for 3-D Digital SiPM","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Silicon photomultiplier; CMOS; Time-to-digital converter; Vernier scale; Electrical engineering; Physics; Electronic engineering; Digital electronics; Electronic circuit; Computer science; Detector; Engineering; Scintillator; Optics; Clock signal","authors":[{"name":"N. Roy","is_ca":true},{"name":"F. Nolet","is_ca":true},{"name":"Frédérik Dubois","is_ca":true},{"name":"Marc-Olivier Mercier","is_ca":true},{"name":"Réjean Fontaine","is_ca":true},{"name":"J.‐F. Pratte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01610499897319522,"gpt":0.2526639191279265,"spread":0.2365589201547313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008437969,0.0001079568,0.0001250137,0.00005444754,0.0005943979,0.0004691446,0.0001747235,0.00006456253,0.0002275803],"category_scores_gemma":[0.00006720393,0.00008258173,0.00003892646,0.00005657413,0.0005879361,0.0004012034,0.000004521934,0.0001099138,0.00004564876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008845691,"about_ca_system_score_gemma":0.00003722314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006515727,"about_ca_topic_score_gemma":0.000003784779,"domain_scores_codex":[0.9992102,0.000004478565,0.0001253161,0.000264284,0.0001932071,0.0002025589],"domain_scores_gemma":[0.9993166,0.000290619,0.00005101881,0.000120478,0.00001944124,0.0002018451],"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":[0.00002365246,0.00007805443,0.0005795239,0.000002964451,0.00001640869,9.672178e-7,0.00006688757,0.0001396445,0.00004652046,0.0008415222,0.0001965433,0.9980073],"study_design_scores_gemma":[0.009522302,0.004684871,0.008485841,0.0005944074,0.0001423555,0.00005900177,0.001652654,0.8047351,0.03730816,0.05644491,0.07347575,0.002894687],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5406448,0.000003295322,0.4505389,0.005219327,0.0002479198,0.0002257457,0.0001317753,0.00007009094,0.002918125],"genre_scores_gemma":[0.9984261,0.00000306932,0.0008658303,0.00009997709,0.00003018875,0.0000116915,0.000003058474,0.000004940323,0.0005551637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951126,"threshold_uncertainty_score":0.4571688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789255769","doi":"10.1109/trpms.2018.2810221","title":"Denoising Low-Dose CT Images Using Multiframe Blind Source Separation and Block Matching Filter","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Artificial intelligence; Noise reduction; Image quality; Computer vision; Wiener filter; Filter (signal processing); Computer science; Noise (video); Optical transfer function; Image resolution; Pattern recognition (psychology); Image restoration; Mathematics; Image (mathematics); Image processing","authors":[{"name":"Ahmed M. Hasan","is_ca":true},{"name":"Ali Melli","is_ca":true},{"name":"Khan A. Wahid","is_ca":true},{"name":"Paul Babyn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03739814363690503,"gpt":0.3326733678749944,"spread":0.2952752242380894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240025,0.0001454735,0.0001478104,0.0002281415,0.001059022,0.0005422067,0.0002606464,0.00007583619,0.00004987881],"category_scores_gemma":[0.00005262203,0.0001210353,0.00003717689,0.0004756991,0.000493599,0.0008761431,0.000005987702,0.0002205355,0.0000144325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002493792,"about_ca_system_score_gemma":0.0001207679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222185,"about_ca_topic_score_gemma":0.00003033489,"domain_scores_codex":[0.9982179,0.0002235509,0.0002514546,0.0004400576,0.0005966239,0.0002704406],"domain_scores_gemma":[0.9990147,0.0004961556,0.00008248873,0.0001319444,0.00004062027,0.0002340757],"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":[0.00005524659,0.0001255039,0.00008574282,0.00002644331,0.00002625671,0.00002715306,0.003466274,0.008470114,0.01864287,0.0002835906,0.00008558926,0.9687052],"study_design_scores_gemma":[0.001010664,0.0001903206,0.0002849537,0.00008991179,0.00001740895,0.0002604469,0.00007749228,0.934517,0.06235102,0.0005902206,0.0003830385,0.0002274809],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4303415,0.00003488734,0.5684632,0.0006141713,0.0003591354,0.00006714732,0.000001374637,0.00004514905,0.00007339109],"genre_scores_gemma":[0.9555801,0.00005865764,0.0435227,0.0005933085,0.0001222068,0.000003146659,3.57237e-7,0.000005606032,0.0001139033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9684777,"threshold_uncertainty_score":0.8145247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898534623","doi":"10.1109/trpms.2018.2877511","title":"Performance Simulation of an Ultrahigh Resolution Brain PET Scanner Using 1.2-mm Pixel Detectors","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Q & T Research; Université de Sherbrooke","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Scanner; Imaging phantom; Image resolution; Image quality; Positron emission tomography; Detector; Lyso-; Nuclear medicine; Field of view; Physics; Optics; Computer science; Artificial intelligence; Scintillator; Medicine","authors":[{"name":"Émilie Gaudin","is_ca":true},{"name":"Maxime Toussaint","is_ca":true},{"name":"Christian Thibaudeau","is_ca":true},{"name":"Maxime Paillé","is_ca":true},{"name":"Réjean Fontaine","is_ca":true},{"name":"Roger Lecomte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0407451264361644,"gpt":0.3411653847114509,"spread":0.3004202582752865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006980368,0.00009902803,0.0001489077,0.0001899637,0.0003946945,0.00001882911,0.00009833439,0.00008960217,0.0003501758],"category_scores_gemma":[0.00009466043,0.00007789463,0.00003671359,0.0004987596,0.0008363295,0.00021252,0.00000113326,0.0001744887,0.000006096213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000036842,"about_ca_system_score_gemma":0.0001731209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000895363,"about_ca_topic_score_gemma":0.00002922482,"domain_scores_codex":[0.9985845,0.00006132885,0.0002820324,0.0002604817,0.0006317755,0.0001798918],"domain_scores_gemma":[0.9991956,0.000216042,0.00008894861,0.0001330516,0.00006754645,0.0002987905],"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":[0.0004959379,0.00131481,0.002627351,0.000219284,0.0000754319,0.00000967113,0.00133907,0.04919184,0.06168716,0.0007320991,0.000656313,0.881651],"study_design_scores_gemma":[0.0004525543,0.0007026179,0.00147276,0.0001007654,0.000031044,0.0000586686,0.00004047998,0.974915,0.02096447,0.00003805566,0.001136551,0.0000870582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.835297,0.000005608652,0.1615544,0.002567902,0.0001481891,0.0001790422,0.000007262695,0.00007099778,0.0001695929],"genre_scores_gemma":[0.9921324,0.00005504419,0.007169688,0.0004493874,0.0001204025,0.00001019308,0.000004158956,0.000006603051,0.00005215752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9257231,"threshold_uncertainty_score":0.383418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900695129","doi":"10.1109/trpms.2018.2878934","title":"Comparison of Radiomics Models Built Through Machine Learning in a Multicentric Context With Independent Testing: Identical Data, Similar Algorithms, Different Methodologies","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Radiomics; Random forest; Computer science; Machine learning; Robustness (evolution); Artificial intelligence; Classifier (UML); Feature selection; Context (archaeology); Data mining; Algorithm","authors":[{"name":"Taman Upadhaya","is_ca":false},{"name":"Martin Vallières","is_ca":false},{"name":"Avishek Chatterjee","is_ca":true},{"name":"François Lucia","is_ca":false},{"name":"Pietro Andrea Bonaffini","is_ca":true},{"name":"Ingrid Masson","is_ca":false},{"name":"A. Mervoyer","is_ca":false},{"name":"Caroline Reinhold","is_ca":true},{"name":"Ulrike Schick","is_ca":false},{"name":"Jan Seuntjens","is_ca":true},{"name":"Catherine Cheze Le Rest","is_ca":false},{"name":"Dimitris Visvikis","is_ca":false},{"name":"Mathieu Hatt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1820891429310312,"gpt":0.4121424549542282,"spread":0.230053312023197,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578477,0.0001830817,0.0005000231,0.0002460428,0.0002897679,0.00004590825,0.0002825976,0.0001410828,0.00009937012],"category_scores_gemma":[0.0009928434,0.000123809,0.00003534732,0.0005728039,0.001167124,0.0002461071,0.00001075926,0.0008188919,0.000002236741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005157664,"about_ca_system_score_gemma":0.0002083141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005665771,"about_ca_topic_score_gemma":0.0002963819,"domain_scores_codex":[0.9973903,0.0002881865,0.000540708,0.0004774806,0.0009937806,0.0003095047],"domain_scores_gemma":[0.9975843,0.001731478,0.0001766499,0.0001883119,0.00006043672,0.0002587781],"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":[0.0005183619,0.001058242,0.08650873,0.0001465088,0.0001514609,0.00005975289,0.003590444,0.04707538,0.0004022419,0.0004533839,0.00009818479,0.8599373],"study_design_scores_gemma":[0.002289416,0.0009915476,0.00479798,0.0001808558,0.0000881216,0.00008831009,0.0006416859,0.9889036,0.001505112,0.0001453017,0.0002332622,0.0001348498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4676399,0.0002467055,0.5285863,0.002963881,0.0001901014,0.0002066902,0.00000971091,0.00004643656,0.0001102063],"genre_scores_gemma":[0.972522,0.0004192356,0.02660951,0.0003292774,0.00006528562,0.00000757318,0.00001203659,0.00001077789,0.00002430554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9418282,"threshold_uncertainty_score":0.5048786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899974865","doi":"10.1109/trpms.2018.2880617","title":"An Empirical Approach for Avoiding False Discoveries When Applying High-Dimensional Radiomics to Small Datasets","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Overfitting; Feature selection; Artificial intelligence; Radiomics; Logistic regression; Computer science; Support vector machine; Feature (linguistics); Machine learning; Receiver operating characteristic; Pattern recognition (psychology)","authors":[{"name":"Avishek Chatterjee","is_ca":true},{"name":"Martin Vallières","is_ca":true},{"name":"Anthony Dohan","is_ca":true},{"name":"Ives R. Levesque","is_ca":true},{"name":"Yoshiko Ueno","is_ca":true},{"name":"Vipul Bist","is_ca":true},{"name":"Sameh Saif","is_ca":true},{"name":"Caroline Reinhold","is_ca":true},{"name":"Jan Seuntjens","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03991037103679596,"gpt":0.3378253655991552,"spread":0.2979149945623593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511868,0.0001673295,0.000265187,0.0002298291,0.0009513515,0.0001195343,0.000188962,0.0001279121,0.0001529492],"category_scores_gemma":[0.0002953491,0.0001271557,0.00005585171,0.0002933104,0.0006222657,0.0002075725,0.000003528602,0.0003752066,0.000008610921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004912067,"about_ca_system_score_gemma":0.0002250584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203796,"about_ca_topic_score_gemma":0.00004223847,"domain_scores_codex":[0.998069,0.0001100806,0.0002973907,0.0005280302,0.0006540946,0.0003413395],"domain_scores_gemma":[0.9985178,0.0004573966,0.00005946786,0.0001642799,0.00003533097,0.0007656963],"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":[0.0008232918,0.0009110328,0.002437416,0.0001329693,0.0001241686,0.00001890485,0.00268662,0.0132938,0.002975248,0.001302977,0.007586543,0.967707],"study_design_scores_gemma":[0.001738989,0.001392494,0.0008724597,0.00007409602,0.00007960904,0.0001351095,0.0002453036,0.9816189,0.002868357,0.0002697118,0.01044746,0.000257501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4007436,0.0000171505,0.592558,0.005757062,0.0003853198,0.0003647399,0.00006664346,0.00005017512,0.00005738072],"genre_scores_gemma":[0.9402468,0.00003263781,0.05465819,0.004379816,0.0004114274,0.00008511251,0.0001106386,0.00001477515,0.00006055828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9683251,"threshold_uncertainty_score":0.7317123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3095764566","doi":"10.1109/trpms.2020.3033561","title":"Improvement of Spatial Resolution With Iterative PET Reconstruction Using Ultrafast TOF","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Mitacs; Compute Canada","keywords":"Image resolution; Imaging phantom; Detector; Resolution (logic); Optics; Scanner; Physics; Ultrashort pulse; Temporal resolution; Iterative reconstruction; Positron emission tomography; Computer science; Computer vision; Artificial intelligence; Nuclear medicine; Laser","authors":[{"name":"Maxime Toussaint","is_ca":true},{"name":"Roger Lecomte","is_ca":true},{"name":"Jean‐Pierre Dussault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03474798782661672,"gpt":0.295867144767416,"spread":0.2611191569407993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184731,0.00008484744,0.0001523276,0.00007546235,0.0001813996,0.00001666634,0.00005329527,0.00004862948,0.0002955008],"category_scores_gemma":[0.00003594591,0.00006051458,0.00003115367,0.0002992378,0.000456622,0.0001018357,8.714663e-7,0.0001853304,0.000001872734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002716036,"about_ca_system_score_gemma":0.0001857604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001412921,"about_ca_topic_score_gemma":0.00002174809,"domain_scores_codex":[0.9988846,0.00002756017,0.0002333817,0.0002323404,0.0005039285,0.0001181596],"domain_scores_gemma":[0.999446,0.00008274078,0.000089926,0.00006076235,0.00004122695,0.0002793676],"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":[0.0005216324,0.000484381,0.001458103,0.0001779516,0.00009373527,0.00002058441,0.001163476,0.00216493,0.07383723,0.000699064,0.0002351389,0.9191438],"study_design_scores_gemma":[0.001437519,0.002034409,0.0004224046,0.0002375085,0.00008697227,0.0002508446,0.0003097067,0.8520018,0.1424315,0.00004192826,0.0006074065,0.0001380375],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5671804,0.000005070462,0.4214342,0.01088595,0.00006169901,0.0002158007,0.00001362492,0.00003940343,0.0001638567],"genre_scores_gemma":[0.9903478,0.0001005535,0.008792626,0.0006610361,0.00006138779,0.00001637783,0.00000338741,0.000004014876,0.00001280662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9190058,"threshold_uncertainty_score":0.3235527,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903964823","doi":"10.1109/trpms.2018.2885439","title":"Performance Characterization of MPPC Modules for TOF-PET Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Research Manitoba","keywords":"Full width at half maximum; Detector; Physics; Lyso-; Optics; Energy (signal processing); Scintillator","authors":[{"name":"Andrew L. Goertzen","is_ca":true},{"name":"Devin Van Elburg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0269398751166828,"gpt":0.3094052593341359,"spread":0.2824653842174532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003699578,0.00008002572,0.0001409667,0.0001242254,0.00031051,0.00001434732,0.00009888295,0.00006306439,0.0002425503],"category_scores_gemma":[0.0000272295,0.00006304221,0.00003968212,0.0003430441,0.0006316913,0.00009748359,0.000001051585,0.00009521789,0.000009817921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001490619,"about_ca_system_score_gemma":0.00011023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008030508,"about_ca_topic_score_gemma":0.000003961693,"domain_scores_codex":[0.9990128,0.00001565116,0.0002452483,0.00022056,0.0003670426,0.000138719],"domain_scores_gemma":[0.9994032,0.0001298929,0.00007924641,0.0001180898,0.00007534927,0.0001941662],"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":[0.00008782566,0.0004492905,0.0007866054,0.0001614488,0.00002925428,4.994989e-7,0.0001719689,0.00001547348,0.02771674,0.003720891,0.000613933,0.9662461],"study_design_scores_gemma":[0.001490643,0.001613447,0.006265128,0.0002404837,0.0001105293,0.00009737746,0.00005505024,0.7212806,0.2074211,0.000341191,0.06083763,0.0002468358],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4995094,0.000004405483,0.4930789,0.006344369,0.00009287028,0.0004760996,0.00003505314,0.00006206365,0.0003967992],"genre_scores_gemma":[0.9901741,0.0003994352,0.008289287,0.0005271135,0.0001284363,0.0002689672,0.00001935124,0.000005684652,0.0001876677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9659992,"threshold_uncertainty_score":0.2655755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2606017942","doi":"10.1109/trpms.2017.2692752","title":"Impact of Lubberts Effect on Amorphous Selenium Indirect Conversion Avalanche Detector for Medical X-Ray Imaging","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detective quantum efficiency; Noise (video); Physics; Detector; X-ray detector; Absorption (acoustics); Scattering; Optics; Materials science; Nuclear magnetic resonance; Optoelectronics; Analytical Chemistry (journal); Chemistry; Image quality; Image (mathematics); Computer science","authors":[{"name":"Salman M. Arnab","is_ca":true},{"name":"M. Z. Kabir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01400233881050604,"gpt":0.3009093335230653,"spread":0.2869069947125593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040209,0.0001694475,0.0003189758,0.0002928508,0.0005639426,0.00008885092,0.0002073687,0.0001226317,0.0002753294],"category_scores_gemma":[0.0003596288,0.0001126946,0.0002399129,0.0001908738,0.0007343423,0.0002686165,0.000002021284,0.0002479029,0.000007424681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004475892,"about_ca_system_score_gemma":0.0002907176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160065,"about_ca_topic_score_gemma":0.00001645521,"domain_scores_codex":[0.9980981,0.00006275914,0.0002487352,0.0003254204,0.0009790021,0.0002860002],"domain_scores_gemma":[0.998229,0.0009009581,0.0001433658,0.000172391,0.00003700444,0.0005172635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008216409,0.0003433839,0.05742229,0.000114855,0.0001340881,0.00002963034,0.0001443891,0.00009285369,0.0006604241,0.00001653197,0.0004782091,0.9397417],"study_design_scores_gemma":[0.0212692,0.01667664,0.5863679,0.00243784,0.0005913355,0.001071909,0.0001419657,0.2565435,0.1117668,0.0001089949,0.002023234,0.001000599],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903195,0.00004426935,0.00554383,0.002039782,0.0006826491,0.000358087,0.00004110038,0.00005083714,0.0009199291],"genre_scores_gemma":[0.9994514,0.00009706978,0.00008479055,0.0001975649,0.00009351796,0.00002042136,0.000004115463,0.000008938469,0.00004216958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9387411,"threshold_uncertainty_score":0.4595553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3080795884","doi":"10.1109/trpms.2020.3018678","title":"TOF Benefits and Trade-offs on Image Contrast-to-Noise Ratio Performance for a Small Animal PET Scanner","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Scanner; Scintillator; Image resolution; Materials science; Contrast-to-noise ratio; Scintillation; Image quality; Optics; Nuclear medicine; Computer science; Physics; Detector; Computer vision; Medicine; Image (mathematics)","authors":[{"name":"Nikta Zarif Yussefian","is_ca":true},{"name":"Maxime Toussaint","is_ca":true},{"name":"Émilie Gaudin","is_ca":true},{"name":"Roger Lecomte","is_ca":true},{"name":"Réjean Fontaine","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03802518511838792,"gpt":0.2898952142779587,"spread":0.2518700291595707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627288,0.0001333423,0.0001998444,0.00009253406,0.0003432545,0.00005896628,0.0001063016,0.00006852283,0.0001193647],"category_scores_gemma":[0.0001106891,0.0001019321,0.00004438002,0.0002915817,0.0002929837,0.00009708824,0.000001696667,0.0002206434,0.000008846219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001648976,"about_ca_system_score_gemma":0.0001278338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289022,"about_ca_topic_score_gemma":0.000008352904,"domain_scores_codex":[0.9987038,0.00002467484,0.0002356572,0.0003720026,0.0004422496,0.0002215616],"domain_scores_gemma":[0.998822,0.0002771795,0.00004322808,0.00007812258,0.00002417509,0.0007553022],"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":[0.001014852,0.0006243397,0.0005999872,0.0002601021,0.00006507496,0.00001706767,0.001167754,0.0004806772,0.01154959,0.005112234,0.01351353,0.9655948],"study_design_scores_gemma":[0.003851929,0.005920433,0.006742682,0.000350379,0.0001595027,0.0001527595,0.0002031219,0.9084682,0.04771723,0.00003694812,0.02596998,0.0004267675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297775,0.00003453638,0.07940267,0.1894876,0.00008960682,0.0007615724,0.00007504226,0.0001144667,0.000256969],"genre_scores_gemma":[0.9824464,0.0003601802,0.006708146,0.0101643,0.0001152772,0.0001445551,0.000007698491,0.000008725281,0.0000447556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.965168,"threshold_uncertainty_score":0.415667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2887641423","doi":"10.1109/trpms.2018.2864923","title":"Geometry Optimization of a Dual-Layer Offset Detector for Use in Simultaneous PET/MR Neuroimaging","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Detector; Scanner; Image resolution; Optics; Offset (computer science); Physics; Coincidence; Sensitivity (control systems); Materials science; Resolution (logic); Nuclear medicine; Medicine; Computer science; Electronic engineering","authors":[{"name":"Mohammadreza Teimoorisichani","is_ca":true},{"name":"Andrew L. Goertzen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04142136199675224,"gpt":0.3253077358728361,"spread":0.2838863738760839,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005077597,0.00009424068,0.0001750082,0.0002905761,0.0001706282,0.00002730106,0.00007435182,0.00006529695,0.0002556107],"category_scores_gemma":[0.000490093,0.00007635147,0.000043318,0.0006078006,0.0004992856,0.0001287209,0.000001493581,0.000162757,0.000003010654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000250512,"about_ca_system_score_gemma":0.0001308972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008082962,"about_ca_topic_score_gemma":0.00005128663,"domain_scores_codex":[0.9987667,0.00004017507,0.0003037796,0.0002722932,0.0004351522,0.0001819508],"domain_scores_gemma":[0.9984772,0.00105504,0.00007531917,0.0001094269,0.00006978749,0.0002132694],"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":[0.0008274172,0.002179227,0.004567879,0.0003758538,0.00008751838,0.00009030534,0.0009210486,0.05623588,0.01451368,0.001065451,0.002878573,0.9162572],"study_design_scores_gemma":[0.0008357058,0.0004413709,0.0002180734,0.0000937388,0.00002647602,0.00006443431,0.0000306323,0.9851482,0.01132958,0.00002505987,0.001704832,0.00008191534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4225726,0.00001118388,0.5733264,0.003517551,0.0001312236,0.0003307031,0.00002278439,0.00004936188,0.00003823384],"genre_scores_gemma":[0.9693949,0.0002065765,0.02953588,0.0006769602,0.00005821664,0.0000444012,0.000005692935,0.000007352012,0.00006997827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9289123,"threshold_uncertainty_score":0.3113523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209723791","doi":"10.1109/trpms.2021.3123537","title":"A 4-D Iterative HYPR Denoising Operator Improves PET Image Quality","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Science and Engineering Research Council; TRIUMF","keywords":"Noise reduction; Computer science; Operator (biology); Artificial intelligence; Computer vision; Image quality; Noise (video); Feature (linguistics); Contrast (vision); Image resolution; Iterative method; Algorithm; Image (mathematics)","authors":[{"name":"Connor Bevington","is_ca":true},{"name":"Ju-Chieh Cheng","is_ca":true},{"name":"Vesna Sossi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03668123738900039,"gpt":0.3614640103231596,"spread":0.3247827729341592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006400576,0.0001148114,0.0002010383,0.00008310589,0.0004342112,0.0001071107,0.0000873901,0.00007265284,0.0009659737],"category_scores_gemma":[0.0002047702,0.00008771669,0.00006289694,0.0004420895,0.000491943,0.0001684083,0.000002279848,0.0003123766,0.00002313527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003591543,"about_ca_system_score_gemma":0.0004211029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004991382,"about_ca_topic_score_gemma":0.00002706046,"domain_scores_codex":[0.9983985,0.0001068501,0.0002913828,0.0003631153,0.000639848,0.00020027],"domain_scores_gemma":[0.9989634,0.0003339059,0.0000517212,0.000140418,0.00007410639,0.0004364632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001453698,0.001998847,0.0008355618,0.0002623426,0.0001642822,0.0003855441,0.001858382,0.0000491005,0.2082202,0.01044573,0.01211568,0.763519],"study_design_scores_gemma":[0.006045415,0.001416587,0.007898852,0.0008673508,0.0003070084,0.002449602,0.002143234,0.2465844,0.6822117,0.00195419,0.04697273,0.001148892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491505,0.00008340144,0.1927314,0.05578888,0.000239031,0.0002514682,0.00002802694,0.0001495016,0.001577848],"genre_scores_gemma":[0.9773373,0.0004262279,0.01794463,0.003633669,0.00008201945,0.00004726122,0.000008911877,0.000006732606,0.0005132388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.76237,"threshold_uncertainty_score":0.9999472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313525828","doi":"10.1109/trpms.2022.3233323","title":"Comparison of Threshold Energy Calibrations of a Photon-Counting Detector and Impact on CT Reconstruction","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Redlen Technologies (Canada); University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Detector; Calibration; Pixel; Homogeneity (statistics); Optics; Energy (signal processing); Physics; Projection (relational algebra); X-ray detector; Noise (video); Photon counting; Computer science; Mathematics; Algorithm; Computer vision; Statistics; Image (mathematics)","authors":[{"name":"Pierre‐Antoine Rodesch","is_ca":true},{"name":"Devon Richtsmeier","is_ca":true},{"name":"E. Guliyev","is_ca":true},{"name":"Kris Iniewski","is_ca":true},{"name":"Magdalena Bazalova‐Carter","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02106283752201733,"gpt":0.2889400422124904,"spread":0.2678772046904731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001884979,0.0000804165,0.0001431955,0.0002139643,0.0001544381,0.00001727187,0.00005112597,0.00003906709,0.00007359212],"category_scores_gemma":[0.00001571225,0.00006584824,0.00003198367,0.0004833874,0.0001957725,0.0001896429,6.057949e-7,0.0001102722,0.000001243768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001461433,"about_ca_system_score_gemma":0.00003313568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004118015,"about_ca_topic_score_gemma":0.00005785496,"domain_scores_codex":[0.9992575,0.00001787573,0.0002181468,0.000120089,0.0002645478,0.0001218108],"domain_scores_gemma":[0.9995397,0.0002680106,0.00004747296,0.00004710976,0.00001030454,0.00008742055],"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":[0.0000242418,0.00004935481,0.003430156,0.00005569541,0.00003897763,0.000001260334,0.0005751495,0.4736254,0.008283854,0.0004503636,0.00005445021,0.5134111],"study_design_scores_gemma":[0.0002110762,0.0001078877,0.001101806,0.0000616407,0.000008528613,0.000009464021,0.0002910282,0.8879475,0.1099932,0.0001456115,0.00004991674,0.00007240817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541267,0.00005396409,0.04501648,0.00008932309,0.0002993295,0.00004572763,0.00001909239,0.00007401254,0.0002754361],"genre_scores_gemma":[0.9994697,0.0003232342,0.0001566885,0.0000136037,0.00001686654,0.000006968728,0.000001505761,0.000004720887,0.000006709568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5133387,"threshold_uncertainty_score":0.2685213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970502598","doi":"10.1109/trpms.2019.2937678","title":"A Novel Amorphous Selenium Avalanche Detector Structure for Low Dose Medical X-Ray Imaging","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Digital Radiography and Breast 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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detective quantum efficiency; Avalanche photodiode; Optoelectronics; Materials science; X-ray detector; Detector; Optics; Noise (video); Physics","authors":[{"name":"Salman M. Arnab","is_ca":true},{"name":"M. Z. Kabir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01027832095692574,"gpt":0.2555625218010482,"spread":0.2452842008441224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005098166,0.0001744278,0.0002535006,0.0002696147,0.0002360593,0.00008937958,0.0001607207,0.000144306,0.0009403753],"category_scores_gemma":[0.00009147442,0.0001276003,0.0001276862,0.0005056146,0.000387403,0.0002797934,0.000001576517,0.0003360686,0.00001809152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003203817,"about_ca_system_score_gemma":0.0003766729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003204916,"about_ca_topic_score_gemma":0.00003406026,"domain_scores_codex":[0.9978282,0.00002671541,0.0002725458,0.0004144105,0.001106436,0.0003517187],"domain_scores_gemma":[0.9987431,0.0004508726,0.00006563496,0.0001168543,0.00004104171,0.0005825499],"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":[0.0003731829,0.0004692499,0.005554234,0.0002116366,0.0001033019,0.00002236568,0.0003655573,0.0005780986,0.005772378,0.0002203918,0.0004752384,0.9858544],"study_design_scores_gemma":[0.01786097,0.00199293,0.03286564,0.001169639,0.0002916854,0.002997498,0.0007164227,0.9035736,0.02364383,0.0002897416,0.01351189,0.001086146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989339,0.0001028084,0.09016418,0.007889172,0.001446127,0.0005909001,0.0001083491,0.000130358,0.0006342282],"genre_scores_gemma":[0.9970073,0.00006225258,0.001016485,0.001585902,0.0001527095,0.00002062252,0.000008237414,0.00001189609,0.0001346634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9847682,"threshold_uncertainty_score":0.9999729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2536677847","doi":"10.1109/tns.2016.2619179","title":"Scintillation and Spectroscopic Characteristics of 90%Lu LGSO With Variable Decay Times","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scintillation; Physics; Variable (mathematics); Nuclear physics; Astrophysics; Optics; Mathematics","authors":[{"name":"Francis Loignon-Houle","is_ca":true},{"name":"C. Pépin","is_ca":true},{"name":"Roger Lecomte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00892041065953717,"gpt":0.2314261834179772,"spread":0.2225057727584401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002298858,0.00009231574,0.000137019,0.0001474983,0.0002223215,0.00004001359,0.00007184155,0.00005967929,0.001036999],"category_scores_gemma":[0.00001181588,0.00005579551,0.00001875595,0.0002830625,0.0004046448,0.0001826699,0.000001171968,0.00007985736,0.000007634609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001159167,"about_ca_system_score_gemma":0.00008347881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003076521,"about_ca_topic_score_gemma":0.000007215558,"domain_scores_codex":[0.9991419,0.00003071791,0.0001903746,0.0002060845,0.0002987873,0.0001320782],"domain_scores_gemma":[0.9994667,0.0002249371,0.0001039653,0.0000749853,0.00002598974,0.0001034678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004603831,0.00009132127,0.04632169,0.00001538748,0.00005542105,5.800759e-7,0.0001769061,0.0004209877,0.001261282,0.01536862,0.0001083131,0.9361334],"study_design_scores_gemma":[0.01267007,0.005471751,0.2564151,0.001264428,0.0003328768,0.00008035954,0.002815274,0.2255024,0.4605587,0.009273355,0.02329875,0.002316873],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105456,0.00001302842,0.08673521,0.001393045,0.0001901701,0.00009558252,0.00001925994,0.00004465591,0.0009634711],"genre_scores_gemma":[0.9991007,0.00009498889,0.0004561497,0.00003000423,0.00003465122,0.000007356359,2.83393e-7,0.000003637161,0.0002722109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338166,"threshold_uncertainty_score":0.9998762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091907035","doi":"10.1109/trpms.2020.3029038","title":"Using Medical Imaging Effective Dose in Deep Learning Models: Estimation and Evaluation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University Medical Centre; Toronto Metropolitan University; McMaster University; Vector Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimation; Computer science; Deep learning; Artificial intelligence; Medical physics; Machine learning; Medicine; Engineering; Systems engineering","authors":[{"name":"Omar Boursalie","is_ca":true},{"name":"Reza Samavi","is_ca":true},{"name":"Thomas E. Doyle","is_ca":true},{"name":"David Koff","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07384210317532304,"gpt":0.3699477534658936,"spread":0.2961056502905706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451104,0.0001125798,0.0001817419,0.0001585455,0.0002614603,0.0000418079,0.00007066086,0.0001123716,0.0002546185],"category_scores_gemma":[0.0004311018,0.00009360605,0.00002882359,0.0004906396,0.0003564429,0.0002367689,0.000002997305,0.00046911,0.000003786725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006004468,"about_ca_system_score_gemma":0.0002100889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009091132,"about_ca_topic_score_gemma":0.00001989776,"domain_scores_codex":[0.9979068,0.0001670311,0.0002729656,0.0003502083,0.001124936,0.0001780263],"domain_scores_gemma":[0.9989488,0.0003832641,0.00006058999,0.00005404127,0.00003560409,0.0005177501],"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":[0.0000328986,0.00007475154,0.0006233724,0.00003498532,0.000007469348,0.000009274553,0.0006261146,0.01680447,0.0001786778,0.0003118424,0.00002339358,0.9812728],"study_design_scores_gemma":[0.001163288,0.0001167972,0.000728733,0.0001551222,0.00004448392,0.000074107,0.0001636188,0.996527,0.0003939798,0.0004316193,0.0001089495,0.00009236821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3996794,0.0001498306,0.5759659,0.02331523,0.00006256725,0.000482254,0.000001258602,0.00008406258,0.0002594932],"genre_scores_gemma":[0.9924279,0.000432275,0.005601877,0.001406336,0.00004830509,0.00006909655,0.000004334146,0.00000687107,0.00000296138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9811804,"threshold_uncertainty_score":0.3817144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388739347","doi":"10.1109/trpms.2023.3333202","title":"Deep-Learning-Aided Intraframe Motion Correction for Low-Count Dynamic Brain PET","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Science and Engineering Research Council","keywords":"Temporal resolution; Artificial intelligence; Computer science; Convolutional neural network; Computer vision; Noise (video); Frame (networking); Motion (physics); Pattern recognition (psychology); Physics; Optics","authors":[{"name":"Erik Reimers","is_ca":true},{"name":"Ju-Chieh Cheng","is_ca":true},{"name":"Vesna Sossi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01697251541754058,"gpt":0.3151423595502102,"spread":0.2981698441326697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009853943,0.0001210425,0.0001737683,0.0002672826,0.0005182638,0.00005065251,0.00009414561,0.0001194914,0.000361326],"category_scores_gemma":[0.0003629068,0.00009971876,0.00007296459,0.0007512797,0.0003178291,0.0001118376,0.000001385522,0.0003588743,0.00005362932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006501016,"about_ca_system_score_gemma":0.000116455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003022519,"about_ca_topic_score_gemma":0.00003976953,"domain_scores_codex":[0.9984719,0.00005744069,0.0002683765,0.0003490096,0.0005922344,0.0002610874],"domain_scores_gemma":[0.9987209,0.0007377245,0.0000702493,0.00009885478,0.00004488363,0.000327379],"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":[0.00008733245,0.0002226918,0.0001242971,0.00008284074,0.00002673394,0.0000098234,0.0002836788,0.003095201,0.001283654,0.0004795744,0.006844663,0.9874595],"study_design_scores_gemma":[0.0007173429,0.0003689023,0.001315634,0.00009383582,0.00003277794,0.00008651172,0.0001471209,0.9879363,0.001307793,0.0003070855,0.007573678,0.0001130636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.216228,0.00001214426,0.7329516,0.0486764,0.000833221,0.0005825945,0.00001189315,0.000525675,0.0001785233],"genre_scores_gemma":[0.995406,0.0005242054,0.001676225,0.001053969,0.0000862165,0.0002052608,0.00003949997,0.00001179418,0.000996794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9873465,"threshold_uncertainty_score":0.4066413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201340045","doi":"10.1109/trpms.2021.3111841","title":"PET Imaging of Leg Arteries for Determining the Input Function in PET/MRI Brain Studies Using a Compact, MRI-Compatible PET System","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut interdisciplinaire d'innovation technologique","funders":"National Cancer Institute; National Institutes of Health; National Institute of Mental Health; U.S. Department of Energy","keywords":"Gold standard (test); Partial volume; Nuclear medicine; Medicine; Magnetic resonance imaging; Calibration; Positron emission tomography; Biomedical engineering; Real-time MRI; Radiology; Mathematics","authors":[{"name":"Shouyi Wei","is_ca":false},{"name":"Nandita Joshi","is_ca":false},{"name":"Michael Salerno","is_ca":false},{"name":"David Ouellette","is_ca":false},{"name":"Lemise Saleh","is_ca":false},{"name":"Christine DeLorenzo","is_ca":false},{"name":"C. Woody","is_ca":false},{"name":"David J. Schlyer","is_ca":false},{"name":"M. L. Purschke","is_ca":false},{"name":"J.‐F. Pratte","is_ca":true},{"name":"S. Junnarkar","is_ca":false},{"name":"Michael Budassi","is_ca":false},{"name":"Tuoyu Cao","is_ca":false},{"name":"J. Fried","is_ca":false},{"name":"Joel S. Karp","is_ca":false},{"name":"P. Vaska","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05937342814324803,"gpt":0.3518702897766177,"spread":0.2924968616333696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033194,0.0001145171,0.0002778716,0.0001526696,0.0004466984,0.00004300764,0.00008984993,0.00002268393,0.00004251864],"category_scores_gemma":[0.0001779073,0.00007927634,0.0000645216,0.0004683883,0.0004990171,0.0001395858,0.00000254207,0.0002190776,9.798458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006227968,"about_ca_system_score_gemma":0.0002535314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005665603,"about_ca_topic_score_gemma":0.00008852644,"domain_scores_codex":[0.9985796,0.0001134459,0.0003852751,0.0002640083,0.0004632045,0.0001944414],"domain_scores_gemma":[0.998543,0.0009884831,0.0001157325,0.0001254396,0.00009277007,0.0001345431],"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":[0.001793743,0.006308424,0.1226881,0.009160446,0.001322599,0.000984058,0.02644329,0.02664898,0.03911224,0.02479551,0.04097161,0.699771],"study_design_scores_gemma":[0.001739161,0.0002839093,0.003620618,0.0008981147,0.0001359609,0.0007577181,0.005817307,0.9790844,0.004460881,0.0001769047,0.002850913,0.0001740893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577878,0.0001225681,0.2120581,0.02900236,0.0003590535,0.0004377217,0.00002387796,0.00007061514,0.0001378309],"genre_scores_gemma":[0.9946994,0.0001540296,0.004267615,0.0007278274,0.00005086582,0.0000472158,0.000006389846,0.000006520422,0.00004012983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9524354,"threshold_uncertainty_score":0.3435688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411866856","doi":"10.1109/trpms.2025.3584031","title":"Classification-Based Deep Learning Models for Lung Cancer and Disease Using Medical Images","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Specific Research Project of Guangxi for Research Bases and Talents; National Natural Science Foundation of China","keywords":"Lung cancer; Deep learning; Artificial intelligence; Disease; Computer science; Medicine; Machine learning; Pathology","authors":[{"name":"Ahmad Chaddad","is_ca":true},{"name":"Jihao Peng","is_ca":true},{"name":"Yihang Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02899418609351816,"gpt":0.3480308328489691,"spread":0.319036646755451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008710137,0.0001239608,0.0001970534,0.0002378403,0.0006475453,0.00006816925,0.00009307767,0.000119661,0.0001750854],"category_scores_gemma":[0.0006262501,0.00009846302,0.00005723337,0.0003181389,0.0005566437,0.0001233037,0.000001707459,0.0004054961,3.47095e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005662234,"about_ca_system_score_gemma":0.0009129248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008649267,"about_ca_topic_score_gemma":0.00001390907,"domain_scores_codex":[0.9984255,0.00007250812,0.0002527215,0.0003576375,0.000665266,0.0002263807],"domain_scores_gemma":[0.9983502,0.0007715084,0.00005949318,0.00007096705,0.00004332547,0.0007045066],"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":[0.0002119176,0.0002003771,0.01248995,0.0003709471,0.00008306564,0.00001406141,0.0001772798,0.1213841,0.0002287025,0.002258403,0.0004482121,0.862133],"study_design_scores_gemma":[0.00141996,0.00005732802,0.001406991,0.0003016577,0.0001297,0.000007460348,0.00006318061,0.9953445,0.0001093399,0.0002113186,0.0008502388,0.00009830456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09979767,0.0007990254,0.8572406,0.04129757,0.000343726,0.0002718899,0.000009254421,0.0000569834,0.0001833317],"genre_scores_gemma":[0.9933121,0.001004103,0.002424446,0.002915053,0.00007729408,0.00006523493,0.000007469037,0.000008406134,0.0001859206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8935144,"threshold_uncertainty_score":0.498046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390738644","doi":"10.1109/trpms.2024.3352983","title":"Evaluation of an MRI-Guided PET Image Reconstruction Approach With Adaptive Penalization Strength","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Lawson Health Research Institute; Montreal Neurological Institute and Hospital; Western University","funders":"Academic Medical Organization of Southwestern Ontario","keywords":"Scanner; Iterative reconstruction; Image quality; Image resolution; Artificial intelligence; Computer science; Maximum a posteriori estimation; Noise (video); Computer vision; Image noise; Pattern recognition (psychology); Nuclear medicine; Image (mathematics); Mathematics; Medicine; Statistics; Maximum likelihood","authors":[{"name":"Jorge Cabello","is_ca":false},{"name":"Michael T. Jurkiewicz","is_ca":true},{"name":"Andrea Andrade","is_ca":true},{"name":"Tammie L.S. Benzinger","is_ca":false},{"name":"Hongyu An","is_ca":false},{"name":"Udunna Anazodo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05553019755407622,"gpt":0.3455333676982861,"spread":0.2900031701442099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001824922,0.0001098684,0.0001542436,0.0002393384,0.0001780976,0.00005151791,0.00007391017,0.0000724384,0.0005081636],"category_scores_gemma":[0.00005560361,0.0000767176,0.00003674441,0.0006296299,0.0005306372,0.000315098,8.065458e-7,0.000217072,0.000004223987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006262139,"about_ca_system_score_gemma":0.0006639489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006855942,"about_ca_topic_score_gemma":0.00002199477,"domain_scores_codex":[0.9976849,0.0001456838,0.0002671453,0.0003507881,0.001421744,0.0001297309],"domain_scores_gemma":[0.999294,0.0001282383,0.00006452811,0.0001179707,0.0001544239,0.0002408738],"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":[0.00007381259,0.0005066156,0.00005310297,0.0001182273,0.00009286507,0.000008739375,0.0004594761,0.001955857,0.001411029,0.004140458,0.000531389,0.9906484],"study_design_scores_gemma":[0.0006189386,0.0005039882,0.0001551634,0.0002088638,0.0002406729,0.0004996061,0.0002518713,0.9896953,0.007191065,0.0003466544,0.0001955589,0.00009227823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4282726,0.00004440313,0.5649632,0.002982251,0.0001585487,0.000556108,0.00002200836,0.0001624,0.002838415],"genre_scores_gemma":[0.9585043,0.0002277974,0.04096397,0.0000851068,0.00005613474,0.00009027146,0.00002031338,0.000008141108,0.00004396676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9905561,"threshold_uncertainty_score":0.5564035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2892950703","doi":"10.1109/trpms.2018.2871760","title":"Imaging in Neurodegeneration: Movement Disorders","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Neurodegeneration; Neuroscience; Positron emission tomography; Disease; Neuroimaging; Neurochemical; Brain Structure and Function; Movement disorders; Brain function; Psychology; Medicine; Pathology","authors":[{"name":"Vesna Sossi","is_ca":true},{"name":"Ju-Chieh Cheng","is_ca":true},{"name":"Ivan S. Klyuzhin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02451034883940161,"gpt":0.280858536106165,"spread":0.2563481872667634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002518225,0.0001119842,0.00008120674,0.0001896663,0.0004565906,0.00008389784,0.0001676707,0.00003133733,0.0005518805],"category_scores_gemma":[0.0001172886,0.00009629319,0.0000265364,0.0005125246,0.0006488379,0.0001907929,0.000001871231,0.0001105509,0.00004198852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881325,"about_ca_system_score_gemma":0.0001093695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003585542,"about_ca_topic_score_gemma":0.0003770445,"domain_scores_codex":[0.9983071,0.0001857487,0.0001996144,0.0004585492,0.0006204438,0.0002285273],"domain_scores_gemma":[0.9994323,0.0002363501,0.00003907089,0.00009061658,0.00001102715,0.0001906769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007334462,0.0006950478,0.007274228,0.00001317232,0.000003492915,0.00001787289,0.001011061,0.01840781,0.0785904,0.004684418,0.0007525678,0.8884766],"study_design_scores_gemma":[0.0008104185,0.0003135567,0.005974329,0.00001815294,0.000005768353,0.000005934206,0.00008047852,0.2278694,0.762733,0.001013543,0.0009558619,0.0002196063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666549,0.00001647329,0.02327621,0.007709745,0.000912672,0.0001726351,0.00001018467,0.00004255798,0.001204608],"genre_scores_gemma":[0.9945047,0.0002361858,0.00007937442,0.004999502,0.00006955456,0.00002750704,3.553943e-7,0.000005381875,0.00007743146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.888257,"threshold_uncertainty_score":0.6042705,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2931871282","doi":"10.1109/trpms.2019.2908797","title":"Construction and Characterization of a Novel Single Pixel Beta Detector for Intraoperative Guidance in Breast-Conserving Surgery","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Detector; Scintillator; Nuclear medicine; Breast cancer; Physics; Cancer; Medicine; Optics; Internal medicine","authors":[{"name":"A. Singh","is_ca":true},{"name":"John Dillon","is_ca":false},{"name":"Ananth Ravi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01814015351467758,"gpt":0.2383596351432256,"spread":0.220219481628548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003160915,0.00008575995,0.0001638315,0.000223272,0.0001233166,0.00004079861,0.00005523663,0.00007001136,0.000137657],"category_scores_gemma":[0.00001298109,0.00007589423,0.00003399491,0.000291397,0.0002070865,0.0002390996,0.000001133363,0.00009052752,0.00000118691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001601784,"about_ca_system_score_gemma":0.00007487787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003671925,"about_ca_topic_score_gemma":0.00002490081,"domain_scores_codex":[0.9991983,0.00003150168,0.0002593753,0.0002142635,0.0001780732,0.0001185428],"domain_scores_gemma":[0.9994032,0.0003337714,0.0001177539,0.00005520355,0.00003120067,0.00005883967],"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":[0.00008448222,0.000227718,0.07332267,0.00005346549,0.00003862529,1.334936e-7,0.0004745627,0.001378986,0.07629354,0.005994456,0.0000086073,0.8421227],"study_design_scores_gemma":[0.00403312,0.0005575942,0.09037559,0.0003862577,0.00003958003,0.00004741733,0.002298646,0.6740957,0.2256252,0.0005238197,0.001317115,0.0007000279],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368235,0.000007477992,0.06145752,0.001032757,0.0003366988,0.0001998322,0.0000569952,0.00002284269,0.0000623909],"genre_scores_gemma":[0.999364,0.0000236371,0.000497476,0.0000436455,0.00002301547,0.00002467591,0.000001914733,0.000003595527,0.00001805999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8414227,"threshold_uncertainty_score":0.3094877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406457585","doi":"10.1109/trpms.2025.3528728","title":"Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Academic Medical Organization of Southwestern Ontario","keywords":"Probabilistic logic; Artificial intelligence; Computer vision; Computer science; Iterative reconstruction; PET-CT; Diffusion; Image (mathematics); Nuclear medicine; Positron emission tomography; Medicine; Physics","authors":[{"name":"Weijie Gan","is_ca":false},{"name":"Huidong Xie","is_ca":false},{"name":"Carl CA von Gall","is_ca":false},{"name":"Günther Platsch","is_ca":false},{"name":"Michael T. Jurkiewicz","is_ca":true},{"name":"Andrea Andrade","is_ca":true},{"name":"Udunna Anazodo","is_ca":true},{"name":"Hongyu An","is_ca":false},{"name":"Jorge Cabello","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02942625268511067,"gpt":0.3468135520850519,"spread":0.3173872993999413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008986401,0.0001506469,0.0002217489,0.0003204903,0.0004454871,0.00005117358,0.0001264737,0.0001172271,0.0003896379],"category_scores_gemma":[0.0002071798,0.0001132339,0.00007865473,0.0006289534,0.0004789534,0.00009086826,0.000001843018,0.0003785527,0.00001135898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007766079,"about_ca_system_score_gemma":0.0004472196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004161049,"about_ca_topic_score_gemma":0.00001127988,"domain_scores_codex":[0.998263,0.00008636802,0.0003379796,0.000448616,0.0006503473,0.0002136836],"domain_scores_gemma":[0.9988641,0.0004987826,0.00006758025,0.0001967001,0.00005211255,0.000320682],"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":[0.0002680956,0.001570335,0.0002405966,0.0002794823,0.00004894873,0.00002488642,0.0001512659,0.02331614,0.006892831,0.01257024,0.01101827,0.9436189],"study_design_scores_gemma":[0.0009315682,0.0001938506,0.0001120145,0.0002635628,0.00006335666,0.00007933629,0.00002502605,0.9925455,0.003338353,0.001698777,0.0006432372,0.0001054576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08647002,0.000004134144,0.864523,0.04466847,0.0002307926,0.0004915144,0.00001513852,0.0001860283,0.003410925],"genre_scores_gemma":[0.7675549,0.0002348059,0.2265868,0.004596696,0.00004837494,0.0002127511,0.00000941666,0.00001001322,0.000746263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9692293,"threshold_uncertainty_score":0.4617546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401634064","doi":"10.1109/trpms.2024.3442773","title":"Non-Negative Matrix Factorization Using Partial Prior Knowledge for Radiation Dosimetry","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dosimetry; Matrix decomposition; Factorization; Matrix (chemical analysis); Medical physics; Mathematics; Computer science; Physics; Medicine; Nuclear medicine; Materials science; Algorithm","authors":[{"name":"Boby Lessard","is_ca":false},{"name":"Frédéric Marcotte","is_ca":false},{"name":"Arthur Lalonde","is_ca":false},{"name":"François Therriault‐Proulx","is_ca":true},{"name":"Simon Lambert‐Girard","is_ca":true},{"name":"Luc Beaulieu","is_ca":false},{"name":"Louis Archambault","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02785229504301815,"gpt":0.3096253667992884,"spread":0.2817730717562702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006908132,0.0001604286,0.0001616566,0.0001037134,0.0007620215,0.0002659138,0.0001306987,0.0001930682,0.0004683979],"category_scores_gemma":[0.00007860131,0.00007499213,0.00009765473,0.0009549139,0.0001562012,0.000429191,0.000001543681,0.0001580791,0.00002764802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006738207,"about_ca_system_score_gemma":0.0001027368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009586148,"about_ca_topic_score_gemma":0.00006646808,"domain_scores_codex":[0.9985228,0.0000890379,0.0002759256,0.000420894,0.00043202,0.0002593327],"domain_scores_gemma":[0.9981576,0.001478467,0.00006707075,0.00003259223,0.00002579706,0.0002384279],"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":[0.0000322698,0.00009661131,0.0002295021,0.00003405405,0.00002725558,0.000001217468,0.0003050452,0.001601258,0.006164551,0.0004301884,0.0002476035,0.9908304],"study_design_scores_gemma":[0.0004683027,0.0006056224,0.003148101,0.00008532401,0.0000546357,0.00001019308,0.0001273544,0.9331772,0.05229805,0.0002136203,0.009526538,0.0002850086],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109581,0.0003424303,0.08421468,0.001315696,0.002221868,0.0005501162,0.0001225522,0.0001361142,0.0001384529],"genre_scores_gemma":[0.9988444,0.0002035769,0.0001705426,0.0001146982,0.0004744382,0.00003839632,0.00001800568,0.000002209026,0.0001336794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9905455,"threshold_uncertainty_score":0.5860931,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164286813","doi":"10.1109/trpms.2021.3077412","title":"Investigation of a Model-Based Time-Over-Threshold Technique for Phoswich Crystal Discrimination","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke; Institut interdisciplinaire d'innovation technologique","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Optics; Physics; Materials science; Computer science","authors":[{"name":"Haithem Bouziri","is_ca":true},{"name":"C. Pépin","is_ca":true},{"name":"Konin Koua","is_ca":true},{"name":"Maher Benhouria","is_ca":true},{"name":"Caroline Paulin","is_ca":true},{"name":"Jinsong Ouyang","is_ca":false},{"name":"Marc D. Normandin","is_ca":false},{"name":"J.‐F. Pratte","is_ca":true},{"name":"Georges El Fakhri","is_ca":false},{"name":"Roger Lecomte","is_ca":true},{"name":"Réjean Fontaine","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02336252671631067,"gpt":0.2722016857022918,"spread":0.2488391589859811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002124332,0.00007421022,0.00009776556,0.00006120803,0.0002396468,0.00003275266,0.000074803,0.00004542501,0.0002412765],"category_scores_gemma":[0.00000427438,0.00006805994,0.00005612106,0.000266525,0.0001725508,0.0001170793,9.453486e-7,0.00008132388,0.000002434341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000108676,"about_ca_system_score_gemma":0.0002414313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002020596,"about_ca_topic_score_gemma":0.000007616306,"domain_scores_codex":[0.9992445,0.0000212724,0.0001685427,0.0001954722,0.0002683475,0.0001018336],"domain_scores_gemma":[0.9995665,0.0001400035,0.00007020101,0.00007534694,0.00004799064,0.00009997736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008308707,0.001091117,0.001574548,0.0001704895,0.0001200165,7.533932e-7,0.001077399,0.1154839,0.3499295,0.23793,0.001875853,0.2906633],"study_design_scores_gemma":[0.0003691948,0.000059925,0.00009185886,0.00003032003,0.0000207973,3.669936e-7,0.00004808476,0.7280338,0.2603211,0.01079069,0.0001487385,0.00008513265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1961813,0.000004772297,0.801657,0.001153285,0.00004853971,0.0002091699,0.0001021949,0.0000137458,0.000630006],"genre_scores_gemma":[0.9965056,0.00000447608,0.00312554,0.00009635258,0.00003483001,0.0001111821,0.00003012628,0.000005427635,0.00008642293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8003243,"threshold_uncertainty_score":0.2775404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407690554","doi":"10.1109/trpms.2025.3540739","title":"Shifting the Spotlight to Low-Dose Rate Radiobiology in Radiopharmaceutical Therapies: Mathematical Modeling, Challenges, and Future Directions","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Radiobiology; Medical physics; Dose rate; Medicine; Nuclear medicine; Radiation therapy; Internal medicine","authors":[{"name":"Hamid Abdollahi","is_ca":true},{"name":"Babak Saboury","is_ca":false},{"name":"Tahir Yusufaly","is_ca":false},{"name":"Ian L. Alberts","is_ca":false},{"name":"C. Uribe","is_ca":true},{"name":"Arman Rahmim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02459546812763193,"gpt":0.2951737971426827,"spread":0.2705783290150508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007290265,0.0001308242,0.0001728939,0.0002668503,0.0004621114,0.00006728143,0.0001571887,0.0001107722,0.0004047644],"category_scores_gemma":[0.00002698281,0.00008705162,0.00004155031,0.0005100524,0.0002674697,0.0001004934,0.000003416554,0.0003401741,0.00001654467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002386494,"about_ca_system_score_gemma":0.0000700148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002199996,"about_ca_topic_score_gemma":0.0000391238,"domain_scores_codex":[0.9988829,0.0001520562,0.0002599111,0.0003093728,0.0001801865,0.0002155243],"domain_scores_gemma":[0.9992905,0.0004297534,0.00003410916,0.0001054895,0.00001434153,0.0001258697],"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":[0.00002928234,0.00008140557,0.0001072971,0.00001029017,0.00003319566,7.922594e-7,0.001216543,0.003617526,0.00002230665,0.02046556,0.00003717919,0.9743786],"study_design_scores_gemma":[0.001326028,0.0001615472,0.001678083,0.00008758552,0.00003052307,0.000009581316,0.004319076,0.9282724,0.0006644695,0.005545307,0.05761595,0.0002894649],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005388,0.001630765,0.02190298,0.07228526,0.0008571497,0.0004296224,0.000009323412,0.0001319153,0.002214156],"genre_scores_gemma":[0.9971324,0.002065971,0.0001122067,0.0004031598,0.0000931788,0.00006150474,2.490951e-7,0.000004173426,0.0001272222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9740891,"threshold_uncertainty_score":0.4431887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401507296","doi":"10.1109/trpms.2024.3442690","title":"HYPR4D Kernel Method With an Unsupervised 2.5SD+0.5TD Deep Learning Assisted Kernel Matrix","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Optical Imaging and Spectroscopy Techniques","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":"Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kernel (algebra); Artificial intelligence; Computer science; Radial basis function kernel; Psychology; Kernel method; Pattern recognition (psychology); Mathematics; Support vector machine; Pure mathematics","authors":[{"name":"Ju-Chieh Cheng","is_ca":true},{"name":"Erik Reimers","is_ca":true},{"name":"Vesna Sossi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02343236627408442,"gpt":0.3543237496877761,"spread":0.3308913834136917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009319976,0.0001721912,0.0002388612,0.0002723954,0.0003693404,0.0002008462,0.0001084358,0.000150916,0.0006136715],"category_scores_gemma":[0.00005820759,0.000115912,0.00006379776,0.0006783796,0.000387095,0.0002872541,0.000001139573,0.0006276913,0.00002312542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005609343,"about_ca_system_score_gemma":0.0002264276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001025501,"about_ca_topic_score_gemma":0.0000447182,"domain_scores_codex":[0.9980371,0.0001539341,0.0002394239,0.0004759709,0.0008021654,0.0002914222],"domain_scores_gemma":[0.9988828,0.0004520359,0.00002975538,0.0001130309,0.00003348577,0.0004888795],"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":[0.0002262381,0.0003910805,0.0007629449,0.000142057,0.0001068683,0.0001593325,0.0008204225,0.001035976,0.002773207,0.002349776,0.0001171443,0.991115],"study_design_scores_gemma":[0.0008866483,0.002229331,0.001658191,0.0003050678,0.0001713939,0.0005262606,0.0003947559,0.979721,0.009653016,0.0002160849,0.003983676,0.0002546295],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2044307,0.0003020249,0.7843267,0.007082917,0.0003030109,0.0002397485,0.000006041539,0.0007204663,0.002588363],"genre_scores_gemma":[0.9608294,0.0004779348,0.03731573,0.0004036661,0.00008654454,0.00002835012,0.000006259789,0.00001746281,0.0008346597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9908603,"threshold_uncertainty_score":0.6719272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415593673","doi":"10.1109/trpms.2025.3625611","title":"Comprehensive Evaluation of Quantitative Measurements From Automated Deep Segmentations of PSMA PET/CT Images","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","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":"Vector Institute; BC Cancer Agency; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Dice; Ground truth; Concordance correlation coefficient; Segmentation; Sørensen–Dice coefficient; Pattern recognition (psychology); Concordance; Correlation coefficient","authors":[{"name":"Obed Korshie Dzikunu","is_ca":true},{"name":"Shadab Ahamed","is_ca":true},{"name":"Sara Harsini","is_ca":true},{"name":"François Bénard","is_ca":true},{"name":"Xiaoxiao Li","is_ca":true},{"name":"Arman Rahmim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1075106016777865,"gpt":0.4150876628376801,"spread":0.3075770611598935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001987335,0.0002509768,0.0005410052,0.0005316581,0.0004525734,0.00003931527,0.0002731445,0.0000678439,0.001580658],"category_scores_gemma":[0.0004422938,0.0002198842,0.0001342724,0.001428493,0.001766046,0.0002060469,0.000005044501,0.0003528575,0.00001200799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291386,"about_ca_system_score_gemma":0.001211977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007789946,"about_ca_topic_score_gemma":0.00007167074,"domain_scores_codex":[0.9950314,0.0005726237,0.001052243,0.000544795,0.00252762,0.0002713369],"domain_scores_gemma":[0.9968022,0.001596855,0.000432437,0.0002568171,0.0005948428,0.0003168105],"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":[0.0005892336,0.006420208,0.004840586,0.001248394,0.002415278,0.00003116742,0.003110034,0.02088128,0.06321854,0.004024281,0.007946665,0.8852744],"study_design_scores_gemma":[0.002996691,0.0004629031,0.00488813,0.00110814,0.001102037,0.00001652177,0.001588046,0.8748488,0.1119373,0.0006453952,0.0002222315,0.0001838457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.696951,0.001377918,0.2852042,0.01159004,0.001083924,0.001724452,0.0003701898,0.0001742821,0.001523987],"genre_scores_gemma":[0.9880396,0.00147186,0.009880749,0.0003700683,0.00002042339,0.0001200051,0.00003839544,0.000008577771,0.0000503219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850905,"threshold_uncertainty_score":0.999332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322765132","doi":"10.1109/trpms.2023.3245244","title":"ADMINISTRATIVE COMMITTEE","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science; Business","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1943004847356868,"gpt":0.4308448420066614,"spread":0.2365443572709746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003808478,0.0001340386,0.0001804171,0.0008517517,0.0009502096,0.000301894,0.0007716799,0.0001430798,0.002175295],"category_scores_gemma":[0.001072261,0.00009885475,0.00006041499,0.002565912,0.001162627,0.0003066041,0.00000563239,0.0002624073,0.000845545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680606,"about_ca_system_score_gemma":0.0001570474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584278,"about_ca_topic_score_gemma":0.0004861243,"domain_scores_codex":[0.996515,0.0002367626,0.0004399309,0.0005408909,0.001969571,0.0002978097],"domain_scores_gemma":[0.9955823,0.003708569,0.0001456826,0.0002570967,0.00005287957,0.0002534196],"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":[0.00001858974,0.0001809388,0.006035434,0.000007313095,0.00003357452,0.00001448493,0.001987243,0.001977367,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.002968522,0.001770588,0.1447467,0.0001318751,0.00008467094,0.00009146673,0.03990114,0.2866119,0.005431122,0.1104796,0.4064351,0.001347343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247876,0.00003672146,0.02103463,0.04411325,0.001486058,0.0002675515,0.00002397704,0.000365163,0.00788504],"genre_scores_gemma":[0.9963629,0.0001943921,0.0001483444,0.0006251865,0.00006091378,0.00003946136,0.000001960168,0.000004963601,0.002561933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437313,"threshold_uncertainty_score":0.9999324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313270774","doi":"10.1109/trpms.2022.3228986","title":"IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Medical radiation; Radiation; Computer science; Medical physics; Medicine; Physics; Nuclear physics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02471943823982374,"gpt":0.2870631592701476,"spread":0.2623437210303239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002400295,0.0002483193,0.0002989003,0.001013505,0.002396863,0.000212149,0.0002614669,0.0002569623,0.004311646],"category_scores_gemma":[0.0001586358,0.0002159203,0.0001026609,0.001674014,0.0007819153,0.00114023,0.000001689037,0.0007590507,0.00006335829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961565,"about_ca_system_score_gemma":0.0008397625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000114077,"about_ca_topic_score_gemma":0.00004003511,"domain_scores_codex":[0.9954217,0.0002867203,0.0006583774,0.0005150973,0.002723683,0.0003944257],"domain_scores_gemma":[0.9979987,0.0008259315,0.0002358173,0.0001731616,0.00005799482,0.0007083992],"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":[0.0002737735,0.0004954327,0.0003282964,0.00004102712,0.00007048838,0.000006244008,0.00130153,0.01103222,0.00006417024,0.001978508,0.001643808,0.9827645],"study_design_scores_gemma":[0.007016448,0.004359371,0.003595305,0.0001124702,0.0001555835,0.0006625929,0.001366108,0.9222291,0.008338773,0.0003644031,0.05111404,0.0006858256],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189043,0.0003115038,0.2085274,0.06315544,0.003561633,0.001262661,0.0001928568,0.0003851814,0.003699005],"genre_scores_gemma":[0.992978,0.001255484,0.0002522397,0.004904021,0.0001151725,0.0001593636,0.00003100622,0.00001121383,0.0002934428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9820787,"threshold_uncertainty_score":0.9989019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362468615","doi":"10.1109/trpms.2023.3257604","title":"ADMINISTRATIVE COMMITTEE","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1943004847356868,"gpt":0.4308448420066614,"spread":0.2365443572709746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003808478,0.0001340386,0.0001804171,0.0008517517,0.0009502096,0.000301894,0.0007716799,0.0001430798,0.002175295],"category_scores_gemma":[0.001072261,0.00009885475,0.00006041499,0.002565912,0.001162627,0.0003066041,0.00000563239,0.0002624073,0.000845545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680606,"about_ca_system_score_gemma":0.0001570474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584278,"about_ca_topic_score_gemma":0.0004861243,"domain_scores_codex":[0.996515,0.0002367626,0.0004399309,0.0005408909,0.001969571,0.0002978097],"domain_scores_gemma":[0.9955823,0.003708569,0.0001456826,0.0002570967,0.00005287957,0.0002534196],"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":[0.00001858974,0.0001809388,0.006035434,0.000007313095,0.00003357452,0.00001448493,0.001987243,0.001977367,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.002968522,0.001770588,0.1447467,0.0001318751,0.00008467094,0.00009146673,0.03990114,0.2866119,0.005431122,0.1104796,0.4064351,0.001347343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247876,0.00003672146,0.02103463,0.04411325,0.001486058,0.0002675515,0.00002397704,0.000365163,0.00788504],"genre_scores_gemma":[0.9963629,0.0001943921,0.0001483444,0.0006251865,0.00006091378,0.00003946136,0.000001960168,0.000004963601,0.002561933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437313,"threshold_uncertainty_score":0.9999324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4211156566","doi":"10.1109/trpms.2022.3145116","title":"ADMINISTRATIVE COMMITTEE","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1525800342382337,"gpt":0.4076026399316678,"spread":0.2550226056934342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.0001729332,0.0006160773,0.00209991,0.0002283657,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.0001004706,0.00006178119,0.001533418,0.0009595362,0.0002457649,0.000011158,0.0004159424,0.0001032012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.0002141999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005151176,"about_ca_topic_score_gemma":0.0003219572,"domain_scores_codex":[0.9957679,0.0004495031,0.0004388739,0.0005435301,0.00254884,0.0002513524],"domain_scores_gemma":[0.9966041,0.002696827,0.0001870711,0.0002572356,0.00003857781,0.0002161552],"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":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.00001598493,0.003156628,0.007545236,0.00001912919,0.01685487,0.02597311,0.939497],"study_design_scores_gemma":[0.002534129,0.00261828,0.02897068,0.0000281085,0.00006878818,0.0001955676,0.05516624,0.1298479,0.001929086,0.06158827,0.7160548,0.000998146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121847,0.00009882871,0.03015866,0.04511162,0.001928926,0.0003470798,0.00005123719,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.0002001134,0.001218661,0.00004257875,0.00008887208,0.00000167569,0.000004530575,0.001845998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9384989,"threshold_uncertainty_score":0.9991992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367673263","doi":"10.1109/trpms.2023.3267201","title":"ADMINISTRATIVE COMMITTEE","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1943004847356868,"gpt":0.4308448420066614,"spread":0.2365443572709746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003808478,0.0001340386,0.0001804171,0.0008517517,0.0009502096,0.000301894,0.0007716799,0.0001430798,0.002175295],"category_scores_gemma":[0.001072261,0.00009885475,0.00006041499,0.002565912,0.001162627,0.0003066041,0.00000563239,0.0002624073,0.000845545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680606,"about_ca_system_score_gemma":0.0001570474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584278,"about_ca_topic_score_gemma":0.0004861243,"domain_scores_codex":[0.996515,0.0002367626,0.0004399309,0.0005408909,0.001969571,0.0002978097],"domain_scores_gemma":[0.9955823,0.003708569,0.0001456826,0.0002570967,0.00005287957,0.0002534196],"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":[0.00001858974,0.0001809388,0.006035434,0.000007313095,0.00003357452,0.00001448493,0.001987243,0.001977367,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.002968522,0.001770588,0.1447467,0.0001318751,0.00008467094,0.00009146673,0.03990114,0.2866119,0.005431122,0.1104796,0.4064351,0.001347343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247876,0.00003672146,0.02103463,0.04411325,0.001486058,0.0002675515,0.00002397704,0.000365163,0.00788504],"genre_scores_gemma":[0.9963629,0.0001943921,0.0001483444,0.0006251865,0.00006091378,0.00003946136,0.000001960168,0.000004963601,0.002561933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437313,"threshold_uncertainty_score":0.9999324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388213881","doi":"10.1109/trpms.2023.3325695","title":"IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Medical radiation; Computer science; Data science; Medical physics; Medicine","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0312677870392952,"gpt":0.3032222994002345,"spread":0.2719545123609393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002290821,0.0002596139,0.0003080471,0.001272558,0.001366288,0.0002586193,0.0002214659,0.0004206251,0.001485612],"category_scores_gemma":[0.0002585277,0.0002134194,0.0001010117,0.002407379,0.0008958423,0.001330581,0.000001039601,0.0005472639,0.0002832835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104367,"about_ca_system_score_gemma":0.0006736043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008884967,"about_ca_topic_score_gemma":0.00005413071,"domain_scores_codex":[0.9959329,0.0001816362,0.000659843,0.0005132903,0.002267397,0.0004449463],"domain_scores_gemma":[0.9977245,0.001038518,0.0001976223,0.0001730856,0.00007268076,0.0007936457],"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":[0.0001565211,0.000233433,0.0003423918,0.00005541493,0.00006337211,0.000006244322,0.001002285,0.004590782,0.00007293378,0.001450332,0.002164858,0.9898614],"study_design_scores_gemma":[0.005160161,0.002171326,0.007458408,0.0002226739,0.0001185333,0.0002536861,0.0007112135,0.9500389,0.01142175,0.0003643055,0.02152133,0.0005577193],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670365,0.0001531065,0.1630691,0.06186074,0.002954109,0.0010447,0.0001121228,0.0006615719,0.003108042],"genre_scores_gemma":[0.9929793,0.003047348,0.000207549,0.00309728,0.0001511835,0.00009096593,0.00003499345,0.00001218483,0.000379144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9893037,"threshold_uncertainty_score":0.9999338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386357532","doi":"10.1109/trpms.2023.3305898","title":"IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Medical radiation; Data science; Computer science; Library science; Medical physics; Medicine","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0312677870392952,"gpt":0.3032222994002345,"spread":0.2719545123609393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002290821,0.0002596139,0.0003080471,0.001272558,0.001366288,0.0002586193,0.0002214659,0.0004206251,0.001485612],"category_scores_gemma":[0.0002585277,0.0002134194,0.0001010117,0.002407379,0.0008958423,0.001330581,0.000001039601,0.0005472639,0.0002832835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104367,"about_ca_system_score_gemma":0.0006736043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008884967,"about_ca_topic_score_gemma":0.00005413071,"domain_scores_codex":[0.9959329,0.0001816362,0.000659843,0.0005132903,0.002267397,0.0004449463],"domain_scores_gemma":[0.9977245,0.001038518,0.0001976223,0.0001730856,0.00007268076,0.0007936457],"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":[0.0001565211,0.000233433,0.0003423918,0.00005541493,0.00006337211,0.000006244322,0.001002285,0.004590782,0.00007293378,0.001450332,0.002164858,0.9898614],"study_design_scores_gemma":[0.005160161,0.002171326,0.007458408,0.0002226739,0.0001185333,0.0002536861,0.0007112135,0.9500389,0.01142175,0.0003643055,0.02152133,0.0005577193],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670365,0.0001531065,0.1630691,0.06186074,0.002954109,0.0010447,0.0001121228,0.0006615719,0.003108042],"genre_scores_gemma":[0.9929793,0.003047348,0.000207549,0.00309728,0.0001511835,0.00009096593,0.00003499345,0.00001218483,0.000379144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9893037,"threshold_uncertainty_score":0.9999338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382657609","doi":"10.1109/trpms.2023.3286147","title":"ADMINISTRATIVE COMMITTEE","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1943004847356868,"gpt":0.4308448420066614,"spread":0.2365443572709746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003808478,0.0001340386,0.0001804171,0.0008517517,0.0009502096,0.000301894,0.0007716799,0.0001430798,0.002175295],"category_scores_gemma":[0.001072261,0.00009885475,0.00006041499,0.002565912,0.001162627,0.0003066041,0.00000563239,0.0002624073,0.000845545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680606,"about_ca_system_score_gemma":0.0001570474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584278,"about_ca_topic_score_gemma":0.0004861243,"domain_scores_codex":[0.996515,0.0002367626,0.0004399309,0.0005408909,0.001969571,0.0002978097],"domain_scores_gemma":[0.9955823,0.003708569,0.0001456826,0.0002570967,0.00005287957,0.0002534196],"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":[0.00001858974,0.0001809388,0.006035434,0.000007313095,0.00003357452,0.00001448493,0.001987243,0.001977367,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.002968522,0.001770588,0.1447467,0.0001318751,0.00008467094,0.00009146673,0.03990114,0.2866119,0.005431122,0.1104796,0.4064351,0.001347343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247876,0.00003672146,0.02103463,0.04411325,0.001486058,0.0002675515,0.00002397704,0.000365163,0.00788504],"genre_scores_gemma":[0.9963629,0.0001943921,0.0001483444,0.0006251865,0.00006091378,0.00003946136,0.000001960168,0.000004963601,0.002561933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437313,"threshold_uncertainty_score":0.9999324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214852743","doi":"10.1109/trpms.2022.3155894","title":"ADMINISTRATIVE COMMITTEE","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1525800342382337,"gpt":0.4076026399316678,"spread":0.2550226056934342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.0001729332,0.0006160773,0.00209991,0.0002283657,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.0001004706,0.00006178119,0.001533418,0.0009595362,0.0002457649,0.000011158,0.0004159424,0.0001032012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.0002141999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005151176,"about_ca_topic_score_gemma":0.0003219572,"domain_scores_codex":[0.9957679,0.0004495031,0.0004388739,0.0005435301,0.00254884,0.0002513524],"domain_scores_gemma":[0.9966041,0.002696827,0.0001870711,0.0002572356,0.00003857781,0.0002161552],"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":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.00001598493,0.003156628,0.007545236,0.00001912919,0.01685487,0.02597311,0.939497],"study_design_scores_gemma":[0.002534129,0.00261828,0.02897068,0.0000281085,0.00006878818,0.0001955676,0.05516624,0.1298479,0.001929086,0.06158827,0.7160548,0.000998146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121847,0.00009882871,0.03015866,0.04511162,0.001928926,0.0003470798,0.00005123719,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.0002001134,0.001218661,0.00004257875,0.00008887208,0.00000167569,0.000004530575,0.001845998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9384989,"threshold_uncertainty_score":0.9991992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294068902","doi":"10.1109/trpms.2022.3198051","title":"Administrative Committee","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.05450400634184388,"gpt":0.3435382092869482,"spread":0.2890342029451043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009470104,0.00006249434,0.00008231741,0.00008657998,0.005698245,0.00005820047,0.0001496561,0.00004202671,0.002382416],"category_scores_gemma":[0.00005004528,0.00005323374,0.00004055453,0.0005300851,0.0008790721,0.000127451,0.000002151099,0.000219317,0.000009418275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006250153,"about_ca_system_score_gemma":0.0003785484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007489519,"about_ca_topic_score_gemma":0.003023873,"domain_scores_codex":[0.9982677,0.000271136,0.0001319121,0.0001840858,0.0009532522,0.0001919316],"domain_scores_gemma":[0.9991192,0.0005737424,0.0000419678,0.00004645411,0.00001506481,0.000203519],"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":[0.00008249115,0.0006525019,0.001965781,0.00001057041,0.00008392536,0.00004233559,0.03980561,0.007647509,0.00001219045,0.1612636,0.01394269,0.7744908],"study_design_scores_gemma":[0.001159024,0.0009917457,0.002154796,0.0000149286,0.00003904952,0.00003550342,0.05442031,0.02034744,0.0001557642,0.002068794,0.9182047,0.0004079029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6614047,0.0003420064,0.01914948,0.1779096,0.005092569,0.0007506885,0.0001712175,0.0002707563,0.134909],"genre_scores_gemma":[0.9975679,0.0002140229,0.00006449413,0.0006779528,0.00007898102,0.00004382974,0.000001159797,0.000002237405,0.001349435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9042621,"threshold_uncertainty_score":0.9985296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246850811","doi":"10.1109/trpms.2021.3120777","title":"IEEE Transactions on Radiation and Plasma Medical Sciences","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Texas MD Anderson Cancer Center; Seoul National University; University College London; University of Patras; McGill University; Stony Brook University; Institut National de la Santé et de la Recherche Médicale; Universitat de València; Harvard University; Rensselaer Polytechnic Institute; University of Washington; West Virginia University; University of Pennsylvania; Yale University","keywords":"Medical radiation; Plasma; Business; Medical physics; Medicine; Physics; Nuclear physics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03175592699777246,"gpt":0.3068059930056216,"spread":0.2750500660078491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001481542,0.0002752168,0.0003848498,0.0004981746,0.00132693,0.000163418,0.0001836019,0.0004201793,0.00382694],"category_scores_gemma":[0.0002059219,0.0002254448,0.0001305132,0.001349552,0.001204952,0.0004170091,8.557066e-7,0.0006579268,0.00006778009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008608646,"about_ca_system_score_gemma":0.001113596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006398447,"about_ca_topic_score_gemma":0.0001418392,"domain_scores_codex":[0.9958479,0.0002681361,0.0005390937,0.0007533389,0.002147892,0.0004436405],"domain_scores_gemma":[0.9973767,0.001290744,0.0001255834,0.000178007,0.0000622334,0.0009666854],"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":[0.0002081474,0.000763369,0.0007597615,0.00006192688,0.0001280416,0.00008024801,0.0008091392,0.003824267,0.0003763291,0.0009955883,0.0008726813,0.9911205],"study_design_scores_gemma":[0.01419116,0.00537414,0.009756488,0.0007871413,0.0004494233,0.001976838,0.001745464,0.789872,0.148462,0.0008070383,0.02516759,0.001410785],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83089,0.0006715111,0.1293249,0.033094,0.003113358,0.0004536754,0.00006225975,0.0002018727,0.002188476],"genre_scores_gemma":[0.990312,0.00477953,0.0004545495,0.003483614,0.0002347605,0.00003665242,0.000007280981,0.00001466584,0.0006768975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9897097,"threshold_uncertainty_score":0.9999732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392383204","doi":"10.1109/trpms.2024.3366373","title":"IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Texas MD Anderson Cancer Center; Vrije Universiteit Brussel; Seoul National University; University College London; University of Patras; McGill University; Stony Brook University; Institut National de la Santé et de la Recherche Médicale; University of California, Davis; Università di Pisa; Universitat de València; Harvard University; Rensselaer Polytechnic Institute; University of Washington; West Virginia University; University of Pennsylvania; Yale University","keywords":"Medical radiation; Computer science; Data science; Library science; Medical physics; Medicine","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0248288048741827,"gpt":0.3001897631905122,"spread":0.2753609583163295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.000288355,0.001118294,0.001055918,0.0004571654,0.0001968075,0.0004216699,0.002081861],"category_scores_gemma":[0.0001683155,0.0002120452,0.0001111763,0.001688549,0.0008959268,0.001647416,8.052346e-7,0.000652517,0.0001826815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399666,"about_ca_system_score_gemma":0.0008806991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.00004765077,"domain_scores_codex":[0.9961535,0.0001635847,0.0006490423,0.0005522937,0.00209728,0.0003842549],"domain_scores_gemma":[0.9978745,0.001036092,0.0001263165,0.0001544589,0.00006014224,0.0007484992],"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":[0.0001060652,0.0001930212,0.00009407722,0.00008523307,0.00007086554,0.000007312195,0.000885485,0.001884872,0.00005786975,0.002776826,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.00187029,0.001496396,0.0003780334,0.000142961,0.0004160369,0.0003829151,0.9461167,0.01005691,0.0003623226,0.03559926,0.000464053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4487572,0.0008893077,0.4639229,0.07468109,0.004933971,0.001151292,0.000137135,0.0006814823,0.004845564],"genre_scores_gemma":[0.9927952,0.003352242,0.0003037129,0.002893668,0.0001947875,0.0000772827,0.0000219314,0.00001278783,0.0003483962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920018,"threshold_uncertainty_score":0.9988304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200343717","doi":"10.1109/trpms.2021.3135592","title":"ADMINISTRATIVE COMMITTEE","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1601765342344945,"gpt":0.4169120633753943,"spread":0.2567355291408999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002393164,0.0001321547,0.0001936847,0.0003707545,0.0008350643,0.0003702278,0.0005905809,0.0001460419,0.004757599],"category_scores_gemma":[0.001313539,0.0001012752,0.00006672939,0.001451219,0.001044994,0.0003053579,0.000005435387,0.0002868497,0.0002163534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003100111,"about_ca_system_score_gemma":0.0003252043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002478163,"about_ca_topic_score_gemma":0.000848921,"domain_scores_codex":[0.9965632,0.0003199139,0.0004500572,0.0005871525,0.001831284,0.000248399],"domain_scores_gemma":[0.9961541,0.003046304,0.0001472574,0.0002888654,0.0001028976,0.0002605482],"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":[0.000016683,0.000417297,0.005796981,0.000007873573,0.00004508615,0.0000333859,0.001564499,0.0009056298,0.00004890604,0.01569398,0.01233669,0.963133],"study_design_scores_gemma":[0.004134937,0.001589305,0.08494709,0.0001935334,0.0001490144,0.0004265764,0.05137185,0.1048998,0.03643153,0.1161552,0.5980008,0.001700337],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532713,0.0001907276,0.07193018,0.05641434,0.001727921,0.0002099764,0.00002572028,0.0001539942,0.01607585],"genre_scores_gemma":[0.9955285,0.000210368,0.0005587104,0.001174179,0.00006046495,0.00002217566,0.000001691346,0.000004180381,0.002439761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9614326,"threshold_uncertainty_score":0.9961522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2188456599","doi":"10.1109/trpms.2022.3184209","title":"ADMINISTRATIVE COMMITTEE","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1525800342382337,"gpt":0.4076026399316678,"spread":0.2550226056934342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.0001729332,0.0006160773,0.00209991,0.0002283657,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.0001004706,0.00006178119,0.001533418,0.0009595362,0.0002457649,0.000011158,0.0004159424,0.0001032012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.0002141999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005151176,"about_ca_topic_score_gemma":0.0003219572,"domain_scores_codex":[0.9957679,0.0004495031,0.0004388739,0.0005435301,0.00254884,0.0002513524],"domain_scores_gemma":[0.9966041,0.002696827,0.0001870711,0.0002572356,0.00003857781,0.0002161552],"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":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.00001598493,0.003156628,0.007545236,0.00001912919,0.01685487,0.02597311,0.939497],"study_design_scores_gemma":[0.002534129,0.00261828,0.02897068,0.0000281085,0.00006878818,0.0001955676,0.05516624,0.1298479,0.001929086,0.06158827,0.7160548,0.000998146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121847,0.00009882871,0.03015866,0.04511162,0.001928926,0.0003470798,0.00005123719,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.0002001134,0.001218661,0.00004257875,0.00008887208,0.00000167569,0.000004530575,0.001845998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9384989,"threshold_uncertainty_score":0.9991992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417251900","doi":"10.1109/trpms.2025.3643324","title":"Design and Evaluation of a 2.5D-Assembled High-Density Detection Module for the Ultra-High Resolution Brain PET Scanner","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Medical Imaging Techniques and Applications","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":"Q & T Research; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"MEDTEQ+; Natural Sciences and Engineering Research Council of Canada; BRAIN Initiative","keywords":"Modular design; Application-specific integrated circuit; Noise (video); Scanner; Integrated circuit; Image resolution; Parasitic capacitance; Capacitance","authors":[{"name":"Jonathan Bouchard","is_ca":true},{"name":"Arnaud Samson","is_ca":true},{"name":"Romain Espagnet","is_ca":true},{"name":"Caroline Paulin","is_ca":true},{"name":"Nicolas Viscogliosi","is_ca":true},{"name":"Jean-François Beaudoin","is_ca":true},{"name":"Louis Arpin","is_ca":true},{"name":"Charles Bourcier-Guérette","is_ca":true},{"name":"Roger Lecomte","is_ca":true},{"name":"Réjean Fontaine","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04793615150593006,"gpt":0.3349226174228511,"spread":0.2869864659169211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007538577,0.0002279508,0.0003531951,0.0003336021,0.001290609,0.00008397998,0.0002029087,0.0002362883,0.0001505072],"category_scores_gemma":[0.0008086498,0.0001646069,0.00008711928,0.0009793817,0.001163738,0.0001839287,0.000003220812,0.000416726,0.000002362636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387907,"about_ca_system_score_gemma":0.0007946322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005920952,"about_ca_topic_score_gemma":0.0001528562,"domain_scores_codex":[0.9965599,0.0005468082,0.0005696029,0.0005958874,0.00139719,0.0003306742],"domain_scores_gemma":[0.9954458,0.003494468,0.0002298158,0.0002590665,0.0002829408,0.0002879288],"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":[0.0004949842,0.0005412346,0.00003676222,0.0002247736,0.0001988354,0.000001547453,0.0002727057,0.01424459,0.01556659,0.005126812,0.00343525,0.9598559],"study_design_scores_gemma":[0.002552639,0.0006037766,0.001457514,0.0003276565,0.0007281558,0.00003402017,0.0001538683,0.9105757,0.0809216,0.001911997,0.0005845916,0.0001484537],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2168767,0.0002356943,0.7297284,0.05054104,0.000681486,0.001828572,0.0000199437,0.00004712138,0.0000410661],"genre_scores_gemma":[0.9923089,0.001799361,0.004330781,0.0008166132,0.00009682449,0.0004501939,0.000005848161,0.0000093193,0.000182185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9597074,"threshold_uncertainty_score":0.9926453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318956439","doi":"10.1109/trpms.2023.3238241","title":"ADMINISTRATIVE COMMITTEE","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Texas MD Anderson Cancer Center; Vrije Universiteit Brussel; Seoul National University; University College London; University of Patras; McGill University; Stony Brook University; Institut National de la Santé et de la Recherche Médicale; University of California, Davis; Università di Pisa; Universitat de València; Harvard University; Rensselaer Polytechnic Institute; University of Washington; West Virginia University; University of Pennsylvania; Yale University","keywords":"Political science; Library science; Computer science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1943004847356868,"gpt":0.4308448420066614,"spread":0.2365443572709746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003808478,0.0001340386,0.0001804171,0.0008517517,0.0009502096,0.000301894,0.0007716799,0.0001430798,0.002175295],"category_scores_gemma":[0.001072261,0.00009885475,0.00006041499,0.002565912,0.001162627,0.0003066041,0.00000563239,0.0002624073,0.000845545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680606,"about_ca_system_score_gemma":0.0001570474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003584278,"about_ca_topic_score_gemma":0.0004861243,"domain_scores_codex":[0.996515,0.0002367626,0.0004399309,0.0005408909,0.001969571,0.0002978097],"domain_scores_gemma":[0.9955823,0.003708569,0.0001456826,0.0002570967,0.00005287957,0.0002534196],"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":[0.00001858974,0.0001809388,0.006035434,0.000007313095,0.00003357452,0.00001448493,0.001987243,0.001977367,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.002968522,0.001770588,0.1447467,0.0001318751,0.00008467094,0.00009146673,0.03990114,0.2866119,0.005431122,0.1104796,0.4064351,0.001347343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247876,0.00003672146,0.02103463,0.04411325,0.001486058,0.0002675515,0.00002397704,0.000365163,0.00788504],"genre_scores_gemma":[0.9963629,0.0001943921,0.0001483444,0.0006251865,0.00006091378,0.00003946136,0.000001960168,0.000004963601,0.002561933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437313,"threshold_uncertainty_score":0.9999324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225276473","doi":"10.1109/trpms.2022.3167462","title":"ADMINISTRATIVE COMMITTEE","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Education, Management, Technology, Human Resources","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1525800342382337,"gpt":0.4076026399316678,"spread":0.2550226056934342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.0001729332,0.0006160773,0.00209991,0.0002283657,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.0001004706,0.00006178119,0.001533418,0.0009595362,0.0002457649,0.000011158,0.0004159424,0.0001032012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.0002141999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005151176,"about_ca_topic_score_gemma":0.0003219572,"domain_scores_codex":[0.9957679,0.0004495031,0.0004388739,0.0005435301,0.00254884,0.0002513524],"domain_scores_gemma":[0.9966041,0.002696827,0.0001870711,0.0002572356,0.00003857781,0.0002161552],"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":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.00001598493,0.003156628,0.007545236,0.00001912919,0.01685487,0.02597311,0.939497],"study_design_scores_gemma":[0.002534129,0.00261828,0.02897068,0.0000281085,0.00006878818,0.0001955676,0.05516624,0.1298479,0.001929086,0.06158827,0.7160548,0.000998146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121847,0.00009882871,0.03015866,0.04511162,0.001928926,0.0003470798,0.00005123719,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.0002001134,0.001218661,0.00004257875,0.00008887208,0.00000167569,0.000004530575,0.001845998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9384989,"threshold_uncertainty_score":0.9991992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390492156","doi":"10.1109/trpms.2023.3342599","title":"IEEE Transactions on Radiation and Plasma Medical Sciences Publication Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of California, Davis; Stony Brook University; Old Dominion University; Università di Bologna; Vrije Universiteit Brussel; Centre National de la Recherche Scientifique; McGill University; University of South Australia; Institut National de la Santé et de la Recherche Médicale; University College London; University of Patras; Kwangwoon University; University of Texas MD Anderson Cancer Center; Univerzita Komenského v Bratislave; Università di Pisa; Yale University; Seoul National University; Universitat de València; Harvard University; West Virginia University; University of Pennsylvania; George Washington University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; University of Washington; Rensselaer Polytechnic Institute","keywords":"Medical radiation; Radiation; Business; Computer science; Medical physics; Medicine; Physics; Nuclear physics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0248288048741827,"gpt":0.3001897631905122,"spread":0.2753609583163295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.000288355,0.001118294,0.001055918,0.0004571654,0.0001968075,0.0004216699,0.002081861],"category_scores_gemma":[0.0001683155,0.0002120452,0.0001111763,0.001688549,0.0008959268,0.001647416,8.052346e-7,0.000652517,0.0001826815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399666,"about_ca_system_score_gemma":0.0008806991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.00004765077,"domain_scores_codex":[0.9961535,0.0001635847,0.0006490423,0.0005522937,0.00209728,0.0003842549],"domain_scores_gemma":[0.9978745,0.001036092,0.0001263165,0.0001544589,0.00006014224,0.0007484992],"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":[0.0001060652,0.0001930212,0.00009407722,0.00008523307,0.00007086554,0.000007312195,0.000885485,0.001884872,0.00005786975,0.002776826,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.00187029,0.001496396,0.0003780334,0.000142961,0.0004160369,0.0003829151,0.9461167,0.01005691,0.0003623226,0.03559926,0.000464053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4487572,0.0008893077,0.4639229,0.07468109,0.004933971,0.001151292,0.000137135,0.0006814823,0.004845564],"genre_scores_gemma":[0.9927952,0.003352242,0.0003037129,0.002893668,0.0001947875,0.0000772827,0.0000219314,0.00001278783,0.0003483962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920018,"threshold_uncertainty_score":0.9988304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}