{"meta":{"query_hash":"a9835d3b2b6a","filters":{"venue":"IEEE Transactions on Radiation and Plasma Medical Sciences"},"cohort_total":60,"direct_labels_cover":0,"predictions_cover":60,"exported":60,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a9835d3b2b6a","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Transactions+on+Radiation+and+Plasma+Medical+Sciences"},"results":[{"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.1525800342382337,"score_gpt":0.40760263993166784,"score_spread":0.25502260569343416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188456599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121847,0.00009882871,0.030158663,0.045111615,0.0019289262,0.0003470798,0.000051237188,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.00020011338,0.001218661,0.000042578755,0.00008887208,0.0000016756904,0.0000045305746,0.0018459979],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957679,0.00044950307,0.00043887386,0.0005435301,0.0025488401,0.00025135244],"domain_scores_gemma":[0.99660414,0.002696827,0.00018707108,0.00025723557,0.00003857781,0.00021615515],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.00017293324,0.0006160773,0.0020999103,0.00022836565,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.00010047063,0.00006178119,0.0015334182,0.0009595362,0.00024576485,0.000011158005,0.00041594243,0.000103201186],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.000015984928,0.0031566282,0.0075452365,0.000019129193,0.016854865,0.025973113,0.939497],"study_design_scores_gemma":[0.002534129,0.0026182798,0.02897068,0.000028108503,0.00006878818,0.00019556757,0.05516624,0.1298479,0.0019290859,0.061588272,0.7160548,0.000998146],"about_ca_topic_score_codex":0.000051511764,"about_ca_topic_score_gemma":0.0003219572,"teacher_disagreement_score":0.93849885,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.00021419993,"threshold_uncertainty_score":0.9991992},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.00892041065953717,"score_gpt":0.23142618341797722,"score_spread":0.22250577275844005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536677847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9105456,0.000013028417,0.08673521,0.0013930451,0.0001901701,0.000095582516,0.000019259938,0.000044655906,0.00096347113],"genre_scores_gemma":[0.99910074,0.00009498889,0.00045614975,0.000030004227,0.00003465122,0.0000073563588,2.8339298e-7,0.0000036371612,0.00027221095],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914193,0.000030717914,0.00019037459,0.00020608451,0.00029878734,0.00013207822],"domain_scores_gemma":[0.99946666,0.00022493707,0.00010396528,0.0000749853,0.000025989742,0.000103467806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022988577,0.00009231574,0.00013701896,0.00014749827,0.00022232147,0.00004001359,0.00007184155,0.000059679285,0.001036999],"category_scores_gemma":[0.000011815881,0.00005579551,0.000018755945,0.00028306252,0.00040464482,0.00018266987,0.0000011719683,0.00007985736,0.000007634609],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046038313,0.00009132127,0.046321694,0.000015387477,0.000055421046,5.8007595e-7,0.00017690612,0.0004209877,0.0012612819,0.015368619,0.00010831314,0.93613344],"study_design_scores_gemma":[0.012670073,0.005471751,0.25641513,0.0012644283,0.0003328768,0.00008035954,0.0028152736,0.22550243,0.46055868,0.009273355,0.023298746,0.002316873],"about_ca_topic_score_codex":0.00003076521,"about_ca_topic_score_gemma":0.000007215558,"teacher_disagreement_score":0.93381655,"about_ca_system_score_codex":0.000011591674,"about_ca_system_score_gemma":0.00008347881,"threshold_uncertainty_score":0.9998762},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.014002338810506044,"score_gpt":0.3009093335230653,"score_spread":0.28690699471255926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606017942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903195,0.000044269353,0.00554383,0.0020397825,0.0006826491,0.000358087,0.00004110038,0.00005083714,0.0009199291],"genre_scores_gemma":[0.9994514,0.00009706978,0.000084790554,0.0001975649,0.00009351796,0.000020421356,0.000004115463,0.000008938469,0.000042169584],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980981,0.00006275914,0.00024873516,0.00032542038,0.0009790021,0.00028600017],"domain_scores_gemma":[0.998229,0.0009009581,0.00014336582,0.00017239104,0.000037004436,0.0005172635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010402091,0.0001694475,0.0003189758,0.00029285083,0.0005639426,0.000088850924,0.00020736872,0.00012263168,0.00027532942],"category_scores_gemma":[0.0003596288,0.00011269462,0.00023991286,0.0001908738,0.00073434226,0.00026861645,0.000002021284,0.00024790288,0.000007424681],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008216409,0.00034338393,0.05742229,0.000114855044,0.00013408806,0.000029630344,0.00014438911,0.00009285369,0.0006604241,0.000016531973,0.00047820905,0.93974173],"study_design_scores_gemma":[0.021269202,0.01667664,0.5863679,0.0024378402,0.00059133547,0.0010719087,0.00014196566,0.25654355,0.1117668,0.00010899494,0.0020232336,0.0010005991],"about_ca_topic_score_codex":0.000116006464,"about_ca_topic_score_gemma":0.000016455213,"teacher_disagreement_score":0.9387411,"about_ca_system_score_codex":0.000044758915,"about_ca_system_score_gemma":0.0002907176,"threshold_uncertainty_score":0.45955533},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.016104998973195218,"score_gpt":0.2526639191279265,"score_spread":0.2365589201547313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757337418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5406448,0.000003295322,0.4505389,0.005219327,0.00024791984,0.00022574572,0.0001317753,0.00007009094,0.002918125],"genre_scores_gemma":[0.9984261,0.0000030693195,0.0008658303,0.00009997709,0.00003018875,0.0000116915035,0.0000030584742,0.0000049403234,0.00055516366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992102,0.000004478565,0.0001253161,0.00026428397,0.00019320715,0.0002025589],"domain_scores_gemma":[0.9993166,0.000290619,0.000051018807,0.00012047803,0.00001944124,0.00020184508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008437969,0.00010795683,0.00012501374,0.00005444754,0.0005943979,0.00046914464,0.00017472351,0.00006456253,0.00022758027],"category_scores_gemma":[0.00006720393,0.00008258173,0.00003892646,0.000056574132,0.00058793614,0.00040120343,0.000004521934,0.00010991375,0.00004564876],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023652463,0.00007805443,0.0005795239,0.0000029644507,0.00001640869,9.672178e-7,0.00006688757,0.00013964446,0.000046520465,0.00084152224,0.00019654332,0.9980073],"study_design_scores_gemma":[0.009522302,0.004684871,0.008485841,0.0005944074,0.00014235551,0.000059001773,0.0016526541,0.80473506,0.037308156,0.05644491,0.07347575,0.0028946865],"about_ca_topic_score_codex":0.0000065157274,"about_ca_topic_score_gemma":0.0000037847794,"teacher_disagreement_score":0.9951126,"about_ca_system_score_codex":0.000008845691,"about_ca_system_score_gemma":0.00003722314,"threshold_uncertainty_score":0.4571688},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03739814363690503,"score_gpt":0.3326733678749944,"score_spread":0.2952752242380894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789255769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4303415,0.000034887336,0.5684632,0.0006141713,0.00035913542,0.000067147324,0.0000013746371,0.00004514905,0.000073391086],"genre_scores_gemma":[0.9555801,0.000058657635,0.043522697,0.00059330853,0.00012220681,0.0000031466589,3.57237e-7,0.000005606032,0.00011390335],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982179,0.00022355093,0.00025145456,0.00044005757,0.00059662387,0.0002704406],"domain_scores_gemma":[0.99901474,0.0004961556,0.00008248873,0.00013194438,0.00004062027,0.00023407569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012400252,0.00014547352,0.00014781042,0.00022814148,0.0010590218,0.0005422067,0.00026064643,0.00007583619,0.000049878814],"category_scores_gemma":[0.00005262203,0.000121035315,0.000037176895,0.00047569908,0.00049359904,0.00087614305,0.0000059877016,0.00022053551,0.000014432504],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055246586,0.00012550388,0.000085742824,0.00002644331,0.000026256706,0.000027153055,0.0034662737,0.008470114,0.018642873,0.0002835906,0.000085589265,0.96870524],"study_design_scores_gemma":[0.0010106638,0.00019032058,0.0002849537,0.000089911795,0.000017408955,0.00026044686,0.00007749228,0.934517,0.062351022,0.00059022056,0.0003830385,0.00022748092],"about_ca_topic_score_codex":0.00012221851,"about_ca_topic_score_gemma":0.000030334888,"teacher_disagreement_score":0.9684777,"about_ca_system_score_codex":0.000024937917,"about_ca_system_score_gemma":0.00012076791,"threshold_uncertainty_score":0.8145247},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.04142136199675224,"score_gpt":0.3253077358728361,"score_spread":0.2838863738760839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887641423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42257255,0.000011183879,0.5733264,0.003517551,0.00013122364,0.0003307031,0.000022784392,0.000049361883,0.000038233837],"genre_scores_gemma":[0.9693949,0.00020657654,0.029535877,0.0006769602,0.00005821664,0.0000444012,0.0000056929352,0.000007352012,0.00006997827],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876666,0.000040175073,0.00030377955,0.00027229317,0.00043515218,0.00018195083],"domain_scores_gemma":[0.99847716,0.0010550402,0.00007531917,0.00010942691,0.000069787486,0.00021326936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050775975,0.00009424068,0.00017500823,0.0002905761,0.00017062818,0.00002730106,0.000074351825,0.000065296954,0.00025561074],"category_scores_gemma":[0.00049009296,0.00007635147,0.000043317996,0.00060780055,0.0004992856,0.00012872089,0.0000014935813,0.00016275703,0.0000030106542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008274172,0.0021792273,0.004567879,0.00037585382,0.00008751838,0.00009030534,0.00092104863,0.056235876,0.014513676,0.0010654514,0.002878573,0.9162572],"study_design_scores_gemma":[0.00083570584,0.00044137085,0.00021807339,0.000093738796,0.000026476022,0.00006443431,0.0000306323,0.9851482,0.011329584,0.00002505987,0.0017048321,0.000081915336],"about_ca_topic_score_codex":0.00008082962,"about_ca_topic_score_gemma":0.00005128663,"teacher_disagreement_score":0.9289123,"about_ca_system_score_codex":0.000025051198,"about_ca_system_score_gemma":0.00013089716,"threshold_uncertainty_score":0.31135225},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.024510348839401612,"score_gpt":0.280858536106165,"score_spread":0.2563481872667634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892950703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666549,0.000016473288,0.02327621,0.007709745,0.00091267197,0.00017263513,0.000010184667,0.00004255798,0.0012046082],"genre_scores_gemma":[0.9945047,0.00023618584,0.00007937442,0.004999502,0.00006955456,0.00002750704,3.5539432e-7,0.0000053818753,0.00007743146],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983071,0.0001857487,0.0001996144,0.00045854918,0.00062044384,0.00022852731],"domain_scores_gemma":[0.99943227,0.00023635007,0.000039070892,0.00009061658,0.00001102715,0.00019067693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025182246,0.00011198417,0.000081206745,0.00018966626,0.0004565906,0.000083897845,0.00016767066,0.000031337335,0.0005518805],"category_scores_gemma":[0.00011728858,0.00009629319,0.000026536398,0.0005125246,0.0006488379,0.00019079285,0.0000018712308,0.00011055093,0.000041988522],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007334462,0.00069504784,0.0072742277,0.000013172323,0.0000034929146,0.000017872888,0.0010110608,0.018407807,0.0785904,0.004684418,0.00075256784,0.8884766],"study_design_scores_gemma":[0.00081041845,0.0003135567,0.0059743286,0.000018152936,0.0000057683533,0.0000059342055,0.00008047852,0.22786939,0.762733,0.0010135435,0.00095586193,0.0002196063],"about_ca_topic_score_codex":0.00003585542,"about_ca_topic_score_gemma":0.00037704452,"teacher_disagreement_score":0.88825697,"about_ca_system_score_codex":0.00001881325,"about_ca_system_score_gemma":0.000109369525,"threshold_uncertainty_score":0.60427046},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0407451264361644,"score_gpt":0.3411653847114509,"score_spread":0.3004202582752865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898534623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83529705,0.000005608652,0.16155435,0.0025679024,0.00014818914,0.00017904224,0.0000072626954,0.000070997776,0.00016959285],"genre_scores_gemma":[0.99213237,0.00005504419,0.007169688,0.0004493874,0.00012040248,0.00001019308,0.0000041589556,0.0000066030507,0.00005215752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985845,0.00006132885,0.00028203242,0.0002604817,0.00063177553,0.00017989181],"domain_scores_gemma":[0.99919564,0.00021604203,0.00008894861,0.0001330516,0.00006754645,0.00029879046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006980368,0.00009902803,0.00014890771,0.0001899637,0.00039469448,0.000018829114,0.000098334385,0.00008960217,0.00035017583],"category_scores_gemma":[0.000094660434,0.00007789463,0.000036713587,0.00049875956,0.00083632953,0.00021251998,0.0000011332596,0.00017448867,0.0000060962134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049593794,0.0013148101,0.0026273506,0.00021928405,0.000075431904,0.00000967113,0.0013390701,0.049191836,0.06168716,0.00073209906,0.000656313,0.88165104],"study_design_scores_gemma":[0.0004525543,0.0007026179,0.00147276,0.000100765414,0.000031043997,0.000058668604,0.000040479976,0.97491497,0.02096447,0.000038055656,0.0011365506,0.0000870582],"about_ca_topic_score_codex":0.0000895363,"about_ca_topic_score_gemma":0.000029224819,"teacher_disagreement_score":0.92572314,"about_ca_system_score_codex":0.000036842004,"about_ca_system_score_gemma":0.00017312088,"threshold_uncertainty_score":0.383418},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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)","score_opus":0.039910371036795955,"score_gpt":0.3378253655991552,"score_spread":0.29791499456235926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899974865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40074357,0.000017150502,0.59255797,0.0057570618,0.00038531978,0.00036473988,0.00006664346,0.000050175124,0.00005738072],"genre_scores_gemma":[0.9402468,0.000032637807,0.05465819,0.0043798164,0.00041142743,0.00008511251,0.00011063858,0.000014775152,0.000060558275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806905,0.000110080604,0.00029739068,0.00052803016,0.0006540946,0.00034133947],"domain_scores_gemma":[0.9985178,0.00045739659,0.00005946786,0.00016427987,0.000035330973,0.0007656963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015118679,0.00016732948,0.00026518703,0.0002298291,0.00095135154,0.000119534336,0.000188962,0.00012791206,0.00015294917],"category_scores_gemma":[0.00029534908,0.0001271557,0.000055851706,0.00029331035,0.0006222657,0.00020757249,0.000003528602,0.00037520655,0.000008610921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008232918,0.00091103284,0.0024374155,0.00013296932,0.00012416861,0.000018904853,0.0026866202,0.013293802,0.0029752476,0.0013029773,0.007586543,0.96770704],"study_design_scores_gemma":[0.0017389893,0.0013924944,0.0008724597,0.00007409602,0.00007960904,0.0001351095,0.00024530358,0.9816189,0.0028683573,0.00026971183,0.010447464,0.00025750097],"about_ca_topic_score_codex":0.00012037963,"about_ca_topic_score_gemma":0.00004223847,"teacher_disagreement_score":0.9683251,"about_ca_system_score_codex":0.00004912067,"about_ca_system_score_gemma":0.00022505841,"threshold_uncertainty_score":0.7317123},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.18208914293103123,"score_gpt":0.41214245495422824,"score_spread":0.230053312023197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900695129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46763992,0.00024670555,0.5285863,0.0029638805,0.00019010136,0.00020669021,0.0000097109105,0.00004643656,0.000110206274],"genre_scores_gemma":[0.972522,0.00041923564,0.026609512,0.0003292774,0.00006528562,0.0000075731805,0.000012036586,0.000010777887,0.000024305542],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739033,0.0002881865,0.000540708,0.0004774806,0.0009937806,0.00030950474],"domain_scores_gemma":[0.99758434,0.0017314785,0.00017664995,0.00018831185,0.00006043672,0.00025877813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015784773,0.0001830817,0.00050002313,0.00024604276,0.00028976786,0.000045908248,0.00028259755,0.00014108284,0.00009937012],"category_scores_gemma":[0.0009928434,0.00012380905,0.000035347322,0.0005728039,0.0011671245,0.0002461071,0.000010759263,0.00081889186,0.0000022367406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051836186,0.0010582419,0.08650873,0.0001465088,0.0001514609,0.00005975289,0.0035904443,0.04707538,0.00040224192,0.00045338387,0.00009818479,0.8599373],"study_design_scores_gemma":[0.0022894163,0.0009915476,0.0047979797,0.00018085579,0.0000881216,0.000088310095,0.0006416859,0.9889036,0.0015051123,0.00014530166,0.00023326215,0.00013484976],"about_ca_topic_score_codex":0.00056657713,"about_ca_topic_score_gemma":0.00029638194,"teacher_disagreement_score":0.9418282,"about_ca_system_score_codex":0.000051576637,"about_ca_system_score_gemma":0.00020831407,"threshold_uncertainty_score":0.50487864},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.026939875116682797,"score_gpt":0.30940525933413593,"score_spread":0.28246538421745315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903964823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49950942,0.0000044054827,0.49307892,0.006344369,0.00009287028,0.00047609964,0.00003505314,0.00006206365,0.00039679918],"genre_scores_gemma":[0.99017406,0.0003994352,0.008289287,0.0005271135,0.00012843628,0.00026896715,0.00001935124,0.0000056846516,0.00018766767],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901277,0.000015651158,0.0002452483,0.00022055996,0.0003670426,0.00013871898],"domain_scores_gemma":[0.99940324,0.00012989285,0.000079246405,0.00011808978,0.00007534927,0.00019416622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003699578,0.00008002572,0.00014096672,0.00012422542,0.00031051005,0.000014347315,0.00009888295,0.00006306439,0.00024255026],"category_scores_gemma":[0.0000272295,0.000063042215,0.000039682123,0.00034304406,0.0006316913,0.000097483586,0.0000010515852,0.00009521789,0.000009817921],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008782566,0.00044929053,0.0007866054,0.00016144877,0.000029254283,4.994989e-7,0.00017196895,0.000015473484,0.027716743,0.0037208912,0.000613933,0.96624607],"study_design_scores_gemma":[0.0014906425,0.001613447,0.006265128,0.00024048369,0.00011052928,0.00009737746,0.000055050245,0.7212806,0.2074211,0.00034119101,0.06083763,0.00024683584],"about_ca_topic_score_codex":0.000008030508,"about_ca_topic_score_gemma":0.0000039616934,"teacher_disagreement_score":0.96599925,"about_ca_system_score_codex":0.000014906194,"about_ca_system_score_gemma":0.00011023004,"threshold_uncertainty_score":0.26557553},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.08403753685768459,"score_gpt":0.3391682313430357,"score_spread":0.2551306944853511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909587126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3400244,0.00006106821,0.6573608,0.0010607811,0.00051910285,0.00034267805,0.000078982586,0.00004245399,0.0005097151],"genre_scores_gemma":[0.98840344,0.0002580066,0.010382723,0.0005663773,0.00015278319,0.000014954307,0.00013176541,0.000010766482,0.00007919518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982536,0.00006165704,0.0003037883,0.00047565057,0.00067988096,0.00022541868],"domain_scores_gemma":[0.9989163,0.00044181003,0.00009934391,0.00020443878,0.000038359118,0.00029973203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080876413,0.00013083815,0.00022304784,0.00019317774,0.00050929445,0.00007805599,0.0002106261,0.00014064416,0.00030039137],"category_scores_gemma":[0.00016033418,0.0001080499,0.000046254772,0.00028861238,0.00025768712,0.00054343254,0.0000051026886,0.00032558502,0.000008005579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002223,0.00022331388,0.002758938,0.000060061222,0.000119252436,0.000007186177,0.00063024287,0.93331057,0.00055339746,0.0011457258,0.00018036869,0.06078864],"study_design_scores_gemma":[0.0017129323,0.00021877566,0.0004311544,0.0001510125,0.0001066336,0.000055317098,0.00016695469,0.9960631,0.00022561861,0.0001604927,0.0005923493,0.00011563252],"about_ca_topic_score_codex":0.0004656435,"about_ca_topic_score_gemma":0.000046533572,"teacher_disagreement_score":0.648379,"about_ca_system_score_codex":0.000082686514,"about_ca_system_score_gemma":0.0005190839,"threshold_uncertainty_score":0.4406147},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Detector; Scintillator; Nuclear medicine; Breast cancer; Physics; Cancer; Medicine; Optics; Internal medicine","score_opus":0.018140153514677577,"score_gpt":0.23835963514322558,"score_spread":0.22021948162854801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931871282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9368235,0.0000074779923,0.06145752,0.0010327565,0.00033669875,0.0001998322,0.0000569952,0.000022842692,0.0000623909],"genre_scores_gemma":[0.99936396,0.000023637098,0.000497476,0.000043645505,0.000023015473,0.000024675914,0.000001914733,0.0000035955272,0.000018059989],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919826,0.000031501677,0.00025937526,0.00021426352,0.00017807324,0.00011854276],"domain_scores_gemma":[0.99940324,0.0003337714,0.000117753894,0.000055203553,0.000031200667,0.000058839665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031609146,0.00008575995,0.00016383154,0.00022327197,0.00012331664,0.00004079861,0.00005523663,0.00007001136,0.00013765697],"category_scores_gemma":[0.000012981089,0.000075894226,0.00003399491,0.00029139704,0.00020708646,0.00023909964,0.0000011333631,0.000090527516,0.0000011869103],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008448222,0.00022771805,0.07332267,0.00005346549,0.00003862529,1.3349356e-7,0.0004745627,0.0013789863,0.076293536,0.0059944564,0.0000086073,0.84212273],"study_design_scores_gemma":[0.0040331203,0.00055759423,0.09037559,0.00038625769,0.00003958003,0.000047417332,0.0022986464,0.6740957,0.22562517,0.0005238197,0.0013171153,0.0007000279],"about_ca_topic_score_codex":0.000036719248,"about_ca_topic_score_gemma":0.00002490081,"teacher_disagreement_score":0.84142274,"about_ca_system_score_codex":0.000016017835,"about_ca_system_score_gemma":0.00007487787,"threshold_uncertainty_score":0.30948767},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.010278320956925735,"score_gpt":0.25556252180104816,"score_spread":0.24528420084412242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970502598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8989339,0.00010280837,0.09016418,0.007889172,0.0014461272,0.00059090013,0.000108349064,0.00013035796,0.0006342282],"genre_scores_gemma":[0.99700725,0.000062252584,0.0010164847,0.0015859016,0.00015270949,0.000020622523,0.000008237414,0.000011896092,0.0001346634],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978282,0.000026715412,0.0002725458,0.00041441055,0.0011064355,0.00035171869],"domain_scores_gemma":[0.99874306,0.0004508726,0.00006563496,0.00011685427,0.00004104171,0.0005825499],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005098166,0.0001744278,0.00025350065,0.00026961465,0.00023605934,0.00008937958,0.00016072067,0.00014430605,0.00094037526],"category_scores_gemma":[0.000091474416,0.0001276003,0.0001276862,0.00050561456,0.00038740298,0.0002797934,0.0000015765168,0.00033606862,0.000018091525],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003731829,0.00046924988,0.0055542337,0.00021163655,0.00010330192,0.000022365675,0.0003655573,0.0005780986,0.0057723783,0.00022039178,0.0004752384,0.9858544],"study_design_scores_gemma":[0.017860968,0.00199293,0.032865636,0.001169639,0.00029168537,0.002997498,0.00071642274,0.90357363,0.023643835,0.00028974164,0.013511888,0.0010861456],"about_ca_topic_score_codex":0.000032049164,"about_ca_topic_score_gemma":0.000034060264,"teacher_disagreement_score":0.9847682,"about_ca_system_score_codex":0.00003203817,"about_ca_system_score_gemma":0.0003766729,"threshold_uncertainty_score":0.9999729},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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)","score_opus":0.03802518511838792,"score_gpt":0.28989521427795867,"score_spread":0.25187002915957074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080795884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7297775,0.000034536377,0.07940267,0.18948764,0.00008960682,0.0007615724,0.00007504226,0.00011446669,0.00025696895],"genre_scores_gemma":[0.9824464,0.0003601802,0.006708146,0.010164301,0.00011527716,0.00014455507,0.000007698491,0.000008725281,0.000044755605],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870384,0.00002467484,0.00023565716,0.0003720026,0.00044224964,0.00022156158],"domain_scores_gemma":[0.998822,0.0002771795,0.000043228083,0.000078122575,0.000024175091,0.0007553022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627288,0.00013334228,0.00019984438,0.000092534065,0.00034325448,0.000058966278,0.00010630161,0.00006852283,0.00011936474],"category_scores_gemma":[0.000110689136,0.0001019321,0.000044380024,0.0002915817,0.00029298366,0.00009708824,0.0000016966673,0.00022064341,0.000008846219],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001014852,0.00062433974,0.00059998716,0.00026010213,0.00006507496,0.000017067669,0.0011677536,0.0004806772,0.011549595,0.0051122336,0.013513529,0.96559477],"study_design_scores_gemma":[0.0038519287,0.0059204325,0.006742682,0.00035037898,0.00015950273,0.00015275946,0.00020312188,0.90846825,0.047717232,0.00003694812,0.025969982,0.00042676754],"about_ca_topic_score_codex":0.000012890216,"about_ca_topic_score_gemma":0.000008352904,"teacher_disagreement_score":0.965168,"about_ca_system_score_codex":0.000016489761,"about_ca_system_score_gemma":0.00012783383,"threshold_uncertainty_score":0.41566703},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.030630248216638966,"score_gpt":0.3090766629466862,"score_spread":0.2784464147300472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088997143","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13048226,0.00025778933,0.093168125,0.77364063,0.00023215856,0.0004304255,0.000018622537,0.0002519136,0.0015180595],"genre_scores_gemma":[0.9886768,0.0014329898,0.0033729603,0.0057983026,0.0006081245,0.000032469383,0.0000035512019,0.0000061389974,0.00006869295],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987622,0.000035665253,0.00018085122,0.00030860127,0.0005449728,0.00016771824],"domain_scores_gemma":[0.9989759,0.00019146496,0.00004001436,0.00007834019,0.000018746445,0.0006955675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025451585,0.00010068904,0.00014905028,0.00010940418,0.00024477395,0.000048492155,0.00008835191,0.00005158708,0.00046297524],"category_scores_gemma":[0.000030006768,0.00007403215,0.000035327575,0.0005970059,0.0004186847,0.000095855044,0.000001942511,0.00028529047,0.000013656908],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045094777,0.0002022055,0.001914072,0.00006667791,0.00002369598,0.00004313478,0.00027888952,0.000024927882,0.00019205263,0.0010130389,0.030713549,0.96548265],"study_design_scores_gemma":[0.0015814268,0.0005166052,0.0032534094,0.000062270796,0.00009771771,0.0004646725,0.00031526806,0.51227057,0.0019203242,0.00022740089,0.4790392,0.0002511263],"about_ca_topic_score_codex":0.000019055295,"about_ca_topic_score_gemma":8.6180376e-7,"teacher_disagreement_score":0.96523154,"about_ca_system_score_codex":0.000010192684,"about_ca_system_score_gemma":0.00008617732,"threshold_uncertainty_score":0.5069254},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.07384210317532304,"score_gpt":0.3699477534658936,"score_spread":0.29610565029057057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091907035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39967936,0.00014983058,0.57596594,0.023315232,0.00006256725,0.00048225396,0.0000012586022,0.00008406258,0.0002594932],"genre_scores_gemma":[0.99242795,0.00043227503,0.005601877,0.0014063363,0.00004830509,0.00006909655,0.0000043341456,0.0000068710697,0.0000029613805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979068,0.00016703112,0.00027296564,0.0003502083,0.0011249364,0.00017802628],"domain_scores_gemma":[0.99894875,0.00038326412,0.000060589988,0.00005404127,0.000035604087,0.0005177501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014511042,0.00011257979,0.00018174187,0.00015854553,0.0002614603,0.0000418079,0.00007066086,0.000112371614,0.0002546185],"category_scores_gemma":[0.00043110183,0.00009360605,0.00002882359,0.0004906396,0.00035644288,0.00023676886,0.0000029973046,0.00046911003,0.0000037867253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000328986,0.000074751544,0.0006233724,0.00003498532,0.0000074693485,0.000009274553,0.0006261146,0.016804473,0.00017867784,0.00031184242,0.000023393579,0.98127276],"study_design_scores_gemma":[0.0011632884,0.00011679723,0.000728733,0.00015512215,0.00004448392,0.000074106996,0.00016361884,0.99652696,0.0003939798,0.0004316193,0.00010894954,0.00009236821],"about_ca_topic_score_codex":0.00009091132,"about_ca_topic_score_gemma":0.000019897763,"teacher_disagreement_score":0.98118037,"about_ca_system_score_codex":0.000060044684,"about_ca_system_score_gemma":0.00021008893,"threshold_uncertainty_score":0.3817144},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03474798782661672,"score_gpt":0.29586714476741605,"score_spread":0.26111915694079935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095764566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5671804,0.000005070462,0.4214342,0.010885946,0.00006169901,0.00021580071,0.000013624923,0.00003940343,0.00016385668],"genre_scores_gemma":[0.9903478,0.00010055354,0.008792626,0.00066103606,0.000061387786,0.000016377828,0.0000033874103,0.000004014876,0.00001280662],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988846,0.000027560165,0.00023338174,0.00023234042,0.00050392846,0.00011815963],"domain_scores_gemma":[0.999446,0.00008274078,0.000089926,0.000060762348,0.000041226955,0.00027936764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021847311,0.00008484744,0.00015232759,0.000075462354,0.00018139958,0.00001666634,0.000053295273,0.000048629485,0.00029550082],"category_scores_gemma":[0.00003594591,0.000060514576,0.000031153668,0.00029923776,0.000456622,0.00010183574,8.7146634e-7,0.0001853304,0.0000018727342],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052163244,0.00048438105,0.0014581028,0.00017795163,0.000093735274,0.00002058441,0.0011634763,0.0021649303,0.07383723,0.000699064,0.00023513894,0.9191438],"study_design_scores_gemma":[0.0014375191,0.0020344087,0.00042240458,0.00023750846,0.00008697227,0.0002508446,0.00030970667,0.8520018,0.14243145,0.000041928262,0.00060740655,0.00013803749],"about_ca_topic_score_codex":0.00014129211,"about_ca_topic_score_gemma":0.00002174809,"teacher_disagreement_score":0.91900575,"about_ca_system_score_codex":0.000027160357,"about_ca_system_score_gemma":0.0001857604,"threshold_uncertainty_score":0.32355267},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.020222485530479575,"score_gpt":0.28896383307325973,"score_spread":0.2687413475427802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129430687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4964698,0.0012080261,0.49278483,0.0075957584,0.0007372589,0.00038503576,0.000014548928,0.000066279186,0.00073847966],"genre_scores_gemma":[0.97393876,0.0031401198,0.017465165,0.0045038424,0.00023328965,0.000043365177,0.000017985869,0.00001200266,0.0006454731],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873036,0.00006196171,0.00021534867,0.0002982286,0.00044189685,0.00025222538],"domain_scores_gemma":[0.9990703,0.0004331409,0.000055762353,0.00006468278,0.00003961442,0.0003365075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067317544,0.0001101384,0.00017651918,0.00007658157,0.00051233266,0.00007384496,0.00004967002,0.000079558966,0.0004815144],"category_scores_gemma":[0.00011815798,0.000087383254,0.000051589337,0.00023784331,0.00026544463,0.00016644309,0.0000017439286,0.00024351894,0.0000075132184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001250277,0.00020937949,0.0026427496,0.00018217527,0.00008411226,0.00008611145,0.00094820204,0.010712145,0.0003696781,0.0008245231,0.0031910017,0.9806249],"study_design_scores_gemma":[0.0017802073,0.00031486797,0.0020655987,0.000108592896,0.00009699157,0.00045665316,0.00021887162,0.98058844,0.002079767,0.00019040925,0.011953418,0.00014618241],"about_ca_topic_score_codex":0.00006438569,"about_ca_topic_score_gemma":0.00009172214,"teacher_disagreement_score":0.9804787,"about_ca_system_score_codex":0.000029855313,"about_ca_system_score_gemma":0.0002155003,"threshold_uncertainty_score":0.5272245},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.10300627137005147,"score_gpt":0.45660893891440985,"score_spread":0.3536026675443584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142047004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46853748,0.000042783773,0.52635634,0.002496606,0.0019538242,0.00043671433,0.00007049263,0.00003944375,0.00006630365],"genre_scores_gemma":[0.99167985,0.0009559176,0.006483204,0.00046294872,0.0001631769,0.0001661492,0.000008147244,0.000006782713,0.00007381429],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764043,0.0006369052,0.00055969926,0.0003069172,0.0005798017,0.00027626354],"domain_scores_gemma":[0.98720217,0.012001926,0.00020595724,0.00011674054,0.00024159282,0.0002315991],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015172716,0.00009512558,0.00020440551,0.00012249555,0.0014369077,0.000015447902,0.00010811621,0.00019265174,0.000615433],"category_scores_gemma":[0.0017816486,0.00008092413,0.000053024803,0.00051368936,0.00023340026,0.00013503878,0.0000023416274,0.00043224328,0.000013488133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007957289,0.0004366115,0.14382243,0.0007062703,0.00005992975,0.000008718204,0.0030863371,0.019300971,0.0000681328,0.002387079,0.0010179487,0.829026],"study_design_scores_gemma":[0.0007396403,0.0011842258,0.02822241,0.0006360997,0.000062479194,0.00000765007,0.0019525674,0.9593204,0.0035354511,0.0024849966,0.0016397794,0.00021428816],"about_ca_topic_score_codex":0.0007065754,"about_ca_topic_score_gemma":0.004146971,"teacher_disagreement_score":0.9400194,"about_ca_system_score_codex":0.00008953141,"about_ca_system_score_gemma":0.0011018552,"threshold_uncertainty_score":0.9998631},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.02336252671631067,"score_gpt":0.27220168570229175,"score_spread":0.24883915898598108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164286813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19618131,0.000004772297,0.80165696,0.0011532855,0.00004853971,0.0002091699,0.000102194914,0.000013745804,0.000630006],"genre_scores_gemma":[0.9965056,0.00000447608,0.0031255397,0.00009635258,0.000034830013,0.00011118208,0.000030126275,0.000005427635,0.00008642293],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992445,0.000021272403,0.00016854274,0.00019547222,0.00026834747,0.000101833575],"domain_scores_gemma":[0.9995665,0.00014000353,0.000070201015,0.00007534694,0.00004799064,0.00009997736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002124332,0.00007421022,0.00009776556,0.000061208026,0.00023964682,0.000032752665,0.000074803,0.00004542501,0.00024127652],"category_scores_gemma":[0.00000427438,0.00006805994,0.00005612106,0.000266525,0.00017255085,0.00011707933,9.4534863e-7,0.00008132388,0.000002434341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008308707,0.0010911166,0.001574548,0.00017048953,0.00012001648,7.533932e-7,0.0010773991,0.11548391,0.34992954,0.23793001,0.0018758532,0.29066327],"study_design_scores_gemma":[0.00036919484,0.000059924998,0.000091858856,0.000030320027,0.000020797304,3.669936e-7,0.000048084763,0.72803384,0.26032108,0.010790685,0.00014873855,0.000085132655],"about_ca_topic_score_codex":0.00002020596,"about_ca_topic_score_gemma":0.0000076163064,"teacher_disagreement_score":0.8003243,"about_ca_system_score_codex":0.000010867597,"about_ca_system_score_gemma":0.0002414313,"threshold_uncertainty_score":0.2775404},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05937342814324803,"score_gpt":0.35187028977661766,"score_spread":0.29249686163336963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201340045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7577878,0.00012256808,0.21205814,0.02900236,0.00035905346,0.0004377217,0.000023877965,0.00007061514,0.00013783088],"genre_scores_gemma":[0.9946994,0.00015402956,0.004267615,0.00072782737,0.000050865816,0.000047215803,0.0000063898456,0.0000065204217,0.000040129835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985796,0.000113445894,0.00038527505,0.00026400827,0.00046320452,0.00019444143],"domain_scores_gemma":[0.998543,0.0009884831,0.00011573252,0.00012543965,0.000092770075,0.00013454312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033194,0.0001145171,0.00027787162,0.00015266957,0.00044669842,0.000043007636,0.00008984993,0.000022683933,0.000042518644],"category_scores_gemma":[0.00017790729,0.00007927634,0.0000645216,0.00046838826,0.00049901713,0.00013958575,0.0000025420698,0.00021907757,9.798458e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017937426,0.0063084243,0.12268808,0.009160446,0.0013225989,0.000984058,0.026443291,0.026648978,0.039112236,0.024795514,0.040971614,0.69977105],"study_design_scores_gemma":[0.0017391607,0.00028390932,0.003620618,0.0008981147,0.00013596093,0.0007577181,0.005817307,0.97908443,0.0044608815,0.00017690466,0.0028509134,0.00017408935],"about_ca_topic_score_codex":0.00005665603,"about_ca_topic_score_gemma":0.00008852644,"teacher_disagreement_score":0.95243543,"about_ca_system_score_codex":0.00006227968,"about_ca_system_score_gemma":0.00025353135,"threshold_uncertainty_score":0.34356883},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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)","score_opus":0.03668123738900039,"score_gpt":0.3614640103231596,"score_spread":0.32478277293415925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209723791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74915045,0.000083401435,0.19273138,0.05578888,0.00023903095,0.00025146818,0.00002802694,0.0001495016,0.0015778485],"genre_scores_gemma":[0.9773373,0.00042622787,0.01794463,0.0036336689,0.00008201945,0.00004726122,0.000008911877,0.0000067326064,0.00051323883],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99839854,0.00010685013,0.00029138284,0.0003631153,0.000639848,0.00020026998],"domain_scores_gemma":[0.99896336,0.0003339059,0.000051721196,0.00014041801,0.00007410639,0.00043646325],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064005755,0.00011481137,0.0002010383,0.000083105886,0.00043421116,0.00010711074,0.0000873901,0.00007265284,0.00096597365],"category_scores_gemma":[0.00020477019,0.00008771669,0.000062896936,0.00044208948,0.000491943,0.00016840825,0.0000022798479,0.00031237662,0.000023135271],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014536976,0.0019988474,0.0008355618,0.0002623426,0.0001642822,0.00038554406,0.0018583816,0.000049100498,0.20822018,0.010445734,0.012115684,0.763519],"study_design_scores_gemma":[0.006045415,0.0014165867,0.007898852,0.0008673508,0.00030700842,0.002449602,0.0021432345,0.24658443,0.6822117,0.0019541904,0.04697273,0.001148892],"about_ca_topic_score_codex":0.000049913815,"about_ca_topic_score_gemma":0.00002706046,"teacher_disagreement_score":0.76237005,"about_ca_system_score_codex":0.00003591543,"about_ca_system_score_gemma":0.0004211029,"threshold_uncertainty_score":0.99994725},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.16017653423449446,"score_gpt":0.4169120633753943,"score_spread":0.25673552914089987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200343717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8532713,0.00019072757,0.071930185,0.05641434,0.0017279213,0.00020997635,0.000025720277,0.00015399417,0.016075851],"genre_scores_gemma":[0.99552846,0.000210368,0.0005587104,0.0011741794,0.000060464947,0.000022175664,0.0000016913457,0.0000041803814,0.002439761],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965632,0.0003199139,0.00045005724,0.00058715255,0.0018312845,0.00024839904],"domain_scores_gemma":[0.9961541,0.0030463045,0.00014725741,0.0002888654,0.000102897626,0.00026054823],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023931642,0.00013215467,0.0001936847,0.00037075454,0.00083506433,0.00037022785,0.0005905809,0.00014604186,0.004757599],"category_scores_gemma":[0.0013135386,0.00010127515,0.000066729386,0.001451219,0.0010449938,0.00030535794,0.0000054353873,0.00028684974,0.00021635342],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016683001,0.00041729704,0.0057969806,0.000007873573,0.000045086148,0.0000333859,0.0015644995,0.0009056298,0.000048906044,0.015693976,0.012336689,0.963133],"study_design_scores_gemma":[0.004134937,0.0015893047,0.084947094,0.00019353341,0.00014901444,0.00042657636,0.05137185,0.10489977,0.036431532,0.11615522,0.5980008,0.0017003374],"about_ca_topic_score_codex":0.000024781628,"about_ca_topic_score_gemma":0.000848921,"teacher_disagreement_score":0.96143264,"about_ca_system_score_codex":0.00003100111,"about_ca_system_score_gemma":0.00032520425,"threshold_uncertainty_score":0.99615216},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.1525800342382337,"score_gpt":0.40760263993166784,"score_spread":0.25502260569343416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211156566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121847,0.00009882871,0.030158663,0.045111615,0.0019289262,0.0003470798,0.000051237188,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.00020011338,0.001218661,0.000042578755,0.00008887208,0.0000016756904,0.0000045305746,0.0018459979],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957679,0.00044950307,0.00043887386,0.0005435301,0.0025488401,0.00025135244],"domain_scores_gemma":[0.99660414,0.002696827,0.00018707108,0.00025723557,0.00003857781,0.00021615515],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.00017293324,0.0006160773,0.0020999103,0.00022836565,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.00010047063,0.00006178119,0.0015334182,0.0009595362,0.00024576485,0.000011158005,0.00041594243,0.000103201186],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.000015984928,0.0031566282,0.0075452365,0.000019129193,0.016854865,0.025973113,0.939497],"study_design_scores_gemma":[0.002534129,0.0026182798,0.02897068,0.000028108503,0.00006878818,0.00019556757,0.05516624,0.1298479,0.0019290859,0.061588272,0.7160548,0.000998146],"about_ca_topic_score_codex":0.000051511764,"about_ca_topic_score_gemma":0.0003219572,"teacher_disagreement_score":0.93849885,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.00021419993,"threshold_uncertainty_score":0.9991992},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.1525800342382337,"score_gpt":0.40760263993166784,"score_spread":0.25502260569343416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214852743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121847,0.00009882871,0.030158663,0.045111615,0.0019289262,0.0003470798,0.000051237188,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.00020011338,0.001218661,0.000042578755,0.00008887208,0.0000016756904,0.0000045305746,0.0018459979],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957679,0.00044950307,0.00043887386,0.0005435301,0.0025488401,0.00025135244],"domain_scores_gemma":[0.99660414,0.002696827,0.00018707108,0.00025723557,0.00003857781,0.00021615515],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.00017293324,0.0006160773,0.0020999103,0.00022836565,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.00010047063,0.00006178119,0.0015334182,0.0009595362,0.00024576485,0.000011158005,0.00041594243,0.000103201186],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.000015984928,0.0031566282,0.0075452365,0.000019129193,0.016854865,0.025973113,0.939497],"study_design_scores_gemma":[0.002534129,0.0026182798,0.02897068,0.000028108503,0.00006878818,0.00019556757,0.05516624,0.1298479,0.0019290859,0.061588272,0.7160548,0.000998146],"about_ca_topic_score_codex":0.000051511764,"about_ca_topic_score_gemma":0.0003219572,"teacher_disagreement_score":0.93849885,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.00021419993,"threshold_uncertainty_score":0.9991992},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.1525800342382337,"score_gpt":0.40760263993166784,"score_spread":0.25502260569343416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225276473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121847,0.00009882871,0.030158663,0.045111615,0.0019289262,0.0003470798,0.000051237188,0.0001689472,0.009949975],"genre_scores_gemma":[0.9965412,0.00005637067,0.00020011338,0.001218661,0.000042578755,0.00008887208,0.0000016756904,0.0000045305746,0.0018459979],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957679,0.00044950307,0.00043887386,0.0005435301,0.0025488401,0.00025135244],"domain_scores_gemma":[0.99660414,0.002696827,0.00018707108,0.00025723557,0.00003857781,0.00021615515],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004063128,0.0001258741,0.00017293324,0.0006160773,0.0020999103,0.00022836565,0.0009743431,0.00007148583,0.009603075],"category_scores_gemma":[0.0005388681,0.00010047063,0.00006178119,0.0015334182,0.0009595362,0.00024576485,0.000011158005,0.00041594243,0.000103201186],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000450603,0.0005761623,0.00626839,0.00000528469,0.00004312974,0.000015984928,0.0031566282,0.0075452365,0.000019129193,0.016854865,0.025973113,0.939497],"study_design_scores_gemma":[0.002534129,0.0026182798,0.02897068,0.000028108503,0.00006878818,0.00019556757,0.05516624,0.1298479,0.0019290859,0.061588272,0.7160548,0.000998146],"about_ca_topic_score_codex":0.000051511764,"about_ca_topic_score_gemma":0.0003219572,"teacher_disagreement_score":0.93849885,"about_ca_system_score_codex":0.00006019251,"about_ca_system_score_gemma":0.00021419993,"threshold_uncertainty_score":0.9991992},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03175592699777246,"score_gpt":0.30680599300562156,"score_spread":0.2750500660078491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246850811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83089,0.00067151105,0.12932487,0.033094,0.0031133583,0.00045367537,0.00006225975,0.00020187272,0.0021884758],"genre_scores_gemma":[0.99031204,0.00477953,0.00045454953,0.0034836144,0.00023476055,0.00003665242,0.0000072809808,0.000014665845,0.0006768975],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958479,0.00026813606,0.0005390937,0.00075333886,0.0021478925,0.00044364049],"domain_scores_gemma":[0.99737674,0.0012907436,0.00012558342,0.00017800702,0.0000622334,0.0009666854],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014815418,0.0002752168,0.0003848498,0.00049817463,0.0013269302,0.00016341796,0.00018360194,0.00042017928,0.00382694],"category_scores_gemma":[0.0002059219,0.00022544478,0.00013051319,0.0013495522,0.0012049521,0.00041700908,8.557066e-7,0.0006579268,0.00006778009],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020814744,0.00076336897,0.0007597615,0.00006192688,0.00012804163,0.00008024801,0.00080913916,0.0038242668,0.00037632915,0.0009955883,0.00087268127,0.9911205],"study_design_scores_gemma":[0.01419116,0.0053741396,0.009756488,0.0007871413,0.00044942333,0.0019768383,0.0017454644,0.789872,0.14846195,0.0008070383,0.025167586,0.0014107849],"about_ca_topic_score_codex":0.000063984466,"about_ca_topic_score_gemma":0.00014183923,"teacher_disagreement_score":0.98970973,"about_ca_system_score_codex":0.00008608646,"about_ca_system_score_gemma":0.0011135961,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"id":"W4254323097","doi":"10.1109/trpms.2021.3107642","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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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; Radiation; Plasma; Medicine; Medical physics; Physics; Nuclear physics","score_opus":0.03175592699777246,"score_gpt":0.30680599300562156,"score_spread":0.2750500660078491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254323097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83089,0.00067151105,0.12932487,0.033094,0.0031133583,0.00045367537,0.00006225975,0.00020187272,0.0021884758],"genre_scores_gemma":[0.99031204,0.00477953,0.00045454953,0.0034836144,0.00023476055,0.00003665242,0.0000072809808,0.000014665845,0.0006768975],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958479,0.00026813606,0.0005390937,0.00075333886,0.0021478925,0.00044364049],"domain_scores_gemma":[0.99737674,0.0012907436,0.00012558342,0.00017800702,0.0000622334,0.0009666854],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014815418,0.0002752168,0.0003848498,0.00049817463,0.0013269302,0.00016341796,0.00018360194,0.00042017928,0.00382694],"category_scores_gemma":[0.0002059219,0.00022544478,0.00013051319,0.0013495522,0.0012049521,0.00041700908,8.557066e-7,0.0006579268,0.00006778009],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020814744,0.00076336897,0.0007597615,0.00006192688,0.00012804163,0.00008024801,0.00080913916,0.0038242668,0.00037632915,0.0009955883,0.00087268127,0.9911205],"study_design_scores_gemma":[0.01419116,0.0053741396,0.009756488,0.0007871413,0.00044942333,0.0019768383,0.0017454644,0.789872,0.14846195,0.0008070383,0.025167586,0.0014107849],"about_ca_topic_score_codex":0.000063984466,"about_ca_topic_score_gemma":0.00014183923,"teacher_disagreement_score":0.98970973,"about_ca_system_score_codex":0.00008608646,"about_ca_system_score_gemma":0.0011135961,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.020744115931286326,"score_gpt":0.31823565709739066,"score_spread":0.2974915411661043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255452789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95381314,0.0007188755,0.0076571484,0.03599269,0.00038166528,0.00036645724,0.00008054491,0.00004604786,0.000943431],"genre_scores_gemma":[0.9932467,0.0038291235,0.0012579839,0.0012287139,0.000121121615,0.00006365635,0.000015729758,0.0000066688167,0.00023033716],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886,0.000037048307,0.00020438881,0.0004372673,0.0002633482,0.00019794749],"domain_scores_gemma":[0.9983211,0.0010381219,0.00004624527,0.00009412799,0.00010867558,0.00039171474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034468848,0.00013781106,0.00023759628,0.0001416557,0.00048854534,0.00004126058,0.000052299718,0.00020352032,0.00014272911],"category_scores_gemma":[0.00028716,0.00010227904,0.000031824064,0.00035753954,0.0008460934,0.00008878378,0.0000021155372,0.00021423004,0.0000033689573],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006786031,0.0017308053,0.003883084,0.0005124585,0.00044324278,0.00009771866,0.0060407883,0.00060393865,0.037192922,0.14403246,0.0092732,0.79551077],"study_design_scores_gemma":[0.04336387,0.012107023,0.034759607,0.00228437,0.0017438994,0.004565865,0.030589746,0.34503934,0.39552534,0.02019292,0.107101135,0.0027269023],"about_ca_topic_score_codex":0.000047684407,"about_ca_topic_score_gemma":0.00014875366,"teacher_disagreement_score":0.79278386,"about_ca_system_score_codex":0.000029400175,"about_ca_system_score_gemma":0.00026752928,"threshold_uncertainty_score":0.4170818},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.05450400634184388,"score_gpt":0.34353820928694817,"score_spread":0.2890342029451043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294068902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66140467,0.00034200645,0.019149482,0.17790963,0.005092569,0.0007506885,0.00017121746,0.0002707563,0.13490899],"genre_scores_gemma":[0.9975679,0.00021402288,0.00006449413,0.00067795283,0.00007898102,0.000043829743,0.0000011597967,0.0000022374047,0.0013494354],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982677,0.00027113603,0.00013191214,0.0001840858,0.0009532522,0.00019193163],"domain_scores_gemma":[0.9991192,0.0005737424,0.000041967796,0.00004645411,0.000015064813,0.00020351895],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009470104,0.00006249434,0.000082317405,0.00008657998,0.0056982455,0.00005820047,0.00014965607,0.00004202671,0.0023824158],"category_scores_gemma":[0.00005004528,0.000053233736,0.00004055453,0.0005300851,0.00087907206,0.00012745103,0.0000021510991,0.00021931702,0.000009418275],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008249115,0.00065250194,0.0019657805,0.000010570411,0.00008392536,0.00004233559,0.039805606,0.007647509,0.000012190446,0.16126361,0.01394269,0.7744908],"study_design_scores_gemma":[0.0011590236,0.0009917457,0.0021547957,0.000014928597,0.000039049522,0.00003550342,0.054420315,0.020347435,0.00015576418,0.0020687939,0.9182047,0.0004079029],"about_ca_topic_score_codex":0.00074895186,"about_ca_topic_score_gemma":0.0030238733,"teacher_disagreement_score":0.90426207,"about_ca_system_score_codex":0.00006250153,"about_ca_system_score_gemma":0.00037854843,"threshold_uncertainty_score":0.99852955},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.024719438239823744,"score_gpt":0.28706315927014764,"score_spread":0.2623437210303239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313270774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7189043,0.00031150383,0.20852739,0.06315544,0.0035616334,0.0012626612,0.0001928568,0.00038518137,0.003699005],"genre_scores_gemma":[0.99297804,0.001255484,0.0002522397,0.0049040206,0.000115172494,0.0001593636,0.000031006217,0.000011213833,0.0002934428],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954217,0.00028672034,0.00065837736,0.00051509734,0.0027236827,0.00039442573],"domain_scores_gemma":[0.9979987,0.0008259315,0.00023581734,0.0001731616,0.00005799482,0.00070839917],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024002953,0.00024831927,0.0002989003,0.0010135053,0.0023968627,0.00021214898,0.00026146692,0.0002569623,0.004311646],"category_scores_gemma":[0.00015863583,0.00021592027,0.00010266088,0.0016740138,0.00078191527,0.0011402303,0.0000016890366,0.0007590507,0.00006335829],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027377348,0.0004954327,0.00032829636,0.000041027124,0.00007048838,0.000006244008,0.00130153,0.01103222,0.000064170235,0.0019785082,0.0016438077,0.9827645],"study_design_scores_gemma":[0.0070164483,0.0043593715,0.003595305,0.000112470174,0.00015558353,0.0006625929,0.0013661082,0.92222905,0.008338773,0.0003644031,0.05111404,0.0006858256],"about_ca_topic_score_codex":0.000114076975,"about_ca_topic_score_gemma":0.00004003511,"teacher_disagreement_score":0.9820787,"about_ca_system_score_codex":0.00019615651,"about_ca_system_score_gemma":0.0008397625,"threshold_uncertainty_score":0.9989019},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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)","score_opus":0.021062837522017333,"score_gpt":0.2889400422124904,"score_spread":0.2678772046904731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313525828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95412666,0.000053964093,0.045016482,0.00008932309,0.00029932946,0.00004572763,0.000019092393,0.00007401254,0.0002754361],"genre_scores_gemma":[0.9994697,0.00032323418,0.00015668852,0.000013603703,0.00001686654,0.0000069687285,0.000001505761,0.000004720887,0.0000067095684],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992575,0.000017875731,0.00021814679,0.00012008895,0.00026454777,0.00012181084],"domain_scores_gemma":[0.9995397,0.00026801063,0.000047472964,0.000047109763,0.000010304538,0.00008742055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018849794,0.000080416496,0.00014319553,0.00021396432,0.00015443805,0.000017271866,0.00005112597,0.000039067087,0.00007359212],"category_scores_gemma":[0.000015712249,0.00006584824,0.000031983665,0.0004833874,0.00019577246,0.00018964295,6.057949e-7,0.000110272165,0.0000012437675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024241801,0.000049354814,0.0034301556,0.00005569541,0.000038977625,0.0000012603343,0.00057514955,0.47362542,0.008283854,0.00045036356,0.000054450215,0.5134111],"study_design_scores_gemma":[0.00021107616,0.000107887696,0.0011018064,0.0000616407,0.000008528613,0.000009464021,0.00029102823,0.8879475,0.10999316,0.00014561146,0.00004991674,0.00007240817],"about_ca_topic_score_codex":0.00004118015,"about_ca_topic_score_gemma":0.00005785496,"teacher_disagreement_score":0.5133387,"about_ca_system_score_codex":0.000014614333,"about_ca_system_score_gemma":0.00003313568,"threshold_uncertainty_score":0.26852134},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.19430048473568678,"score_gpt":0.4308448420066614,"score_spread":0.23654435727097461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318956439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247876,0.000036721463,0.021034628,0.04411325,0.0014860585,0.00026755146,0.000023977036,0.00036516302,0.00788504],"genre_scores_gemma":[0.99636286,0.00019439207,0.00014834439,0.00062518654,0.000060913782,0.00003946136,0.0000019601684,0.0000049636014,0.002561933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651504,0.00023676256,0.00043993088,0.0005408909,0.0019695708,0.00029780972],"domain_scores_gemma":[0.99558234,0.0037085693,0.00014568263,0.0002570967,0.00005287957,0.00025341962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038084781,0.00013403862,0.00018041712,0.00085175165,0.00095020956,0.00030189398,0.0007716799,0.00014307983,0.002175295],"category_scores_gemma":[0.0010722606,0.000098854754,0.000060414986,0.0025659115,0.0011626271,0.00030660408,0.0000056323897,0.00026240727,0.000845545],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018589739,0.00018093879,0.0060354336,0.0000073130946,0.00003357452,0.0000144849255,0.001987243,0.0019773673,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.0029685225,0.0017705876,0.14474669,0.00013187513,0.00008467094,0.00009146673,0.039901137,0.28661194,0.005431122,0.110479556,0.40643507,0.0013473433],"about_ca_topic_score_codex":0.000035842782,"about_ca_topic_score_gemma":0.00048612434,"teacher_disagreement_score":0.9437313,"about_ca_system_score_codex":0.000026806065,"about_ca_system_score_gemma":0.00015704738,"threshold_uncertainty_score":0.9999324},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.19430048473568678,"score_gpt":0.4308448420066614,"score_spread":0.23654435727097461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322765132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247876,0.000036721463,0.021034628,0.04411325,0.0014860585,0.00026755146,0.000023977036,0.00036516302,0.00788504],"genre_scores_gemma":[0.99636286,0.00019439207,0.00014834439,0.00062518654,0.000060913782,0.00003946136,0.0000019601684,0.0000049636014,0.002561933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651504,0.00023676256,0.00043993088,0.0005408909,0.0019695708,0.00029780972],"domain_scores_gemma":[0.99558234,0.0037085693,0.00014568263,0.0002570967,0.00005287957,0.00025341962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038084781,0.00013403862,0.00018041712,0.00085175165,0.00095020956,0.00030189398,0.0007716799,0.00014307983,0.002175295],"category_scores_gemma":[0.0010722606,0.000098854754,0.000060414986,0.0025659115,0.0011626271,0.00030660408,0.0000056323897,0.00026240727,0.000845545],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018589739,0.00018093879,0.0060354336,0.0000073130946,0.00003357452,0.0000144849255,0.001987243,0.0019773673,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.0029685225,0.0017705876,0.14474669,0.00013187513,0.00008467094,0.00009146673,0.039901137,0.28661194,0.005431122,0.110479556,0.40643507,0.0013473433],"about_ca_topic_score_codex":0.000035842782,"about_ca_topic_score_gemma":0.00048612434,"teacher_disagreement_score":0.9437313,"about_ca_system_score_codex":0.000026806065,"about_ca_system_score_gemma":0.00015704738,"threshold_uncertainty_score":0.9999324},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.19430048473568678,"score_gpt":0.4308448420066614,"score_spread":0.23654435727097461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362468615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247876,0.000036721463,0.021034628,0.04411325,0.0014860585,0.00026755146,0.000023977036,0.00036516302,0.00788504],"genre_scores_gemma":[0.99636286,0.00019439207,0.00014834439,0.00062518654,0.000060913782,0.00003946136,0.0000019601684,0.0000049636014,0.002561933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651504,0.00023676256,0.00043993088,0.0005408909,0.0019695708,0.00029780972],"domain_scores_gemma":[0.99558234,0.0037085693,0.00014568263,0.0002570967,0.00005287957,0.00025341962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038084781,0.00013403862,0.00018041712,0.00085175165,0.00095020956,0.00030189398,0.0007716799,0.00014307983,0.002175295],"category_scores_gemma":[0.0010722606,0.000098854754,0.000060414986,0.0025659115,0.0011626271,0.00030660408,0.0000056323897,0.00026240727,0.000845545],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018589739,0.00018093879,0.0060354336,0.0000073130946,0.00003357452,0.0000144849255,0.001987243,0.0019773673,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.0029685225,0.0017705876,0.14474669,0.00013187513,0.00008467094,0.00009146673,0.039901137,0.28661194,0.005431122,0.110479556,0.40643507,0.0013473433],"about_ca_topic_score_codex":0.000035842782,"about_ca_topic_score_gemma":0.00048612434,"teacher_disagreement_score":0.9437313,"about_ca_system_score_codex":0.000026806065,"about_ca_system_score_gemma":0.00015704738,"threshold_uncertainty_score":0.9999324},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.19430048473568678,"score_gpt":0.4308448420066614,"score_spread":0.23654435727097461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367673263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247876,0.000036721463,0.021034628,0.04411325,0.0014860585,0.00026755146,0.000023977036,0.00036516302,0.00788504],"genre_scores_gemma":[0.99636286,0.00019439207,0.00014834439,0.00062518654,0.000060913782,0.00003946136,0.0000019601684,0.0000049636014,0.002561933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651504,0.00023676256,0.00043993088,0.0005408909,0.0019695708,0.00029780972],"domain_scores_gemma":[0.99558234,0.0037085693,0.00014568263,0.0002570967,0.00005287957,0.00025341962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038084781,0.00013403862,0.00018041712,0.00085175165,0.00095020956,0.00030189398,0.0007716799,0.00014307983,0.002175295],"category_scores_gemma":[0.0010722606,0.000098854754,0.000060414986,0.0025659115,0.0011626271,0.00030660408,0.0000056323897,0.00026240727,0.000845545],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018589739,0.00018093879,0.0060354336,0.0000073130946,0.00003357452,0.0000144849255,0.001987243,0.0019773673,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.0029685225,0.0017705876,0.14474669,0.00013187513,0.00008467094,0.00009146673,0.039901137,0.28661194,0.005431122,0.110479556,0.40643507,0.0013473433],"about_ca_topic_score_codex":0.000035842782,"about_ca_topic_score_gemma":0.00048612434,"teacher_disagreement_score":0.9437313,"about_ca_system_score_codex":0.000026806065,"about_ca_system_score_gemma":0.00015704738,"threshold_uncertainty_score":0.9999324},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.19430048473568678,"score_gpt":0.4308448420066614,"score_spread":0.23654435727097461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382657609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9247876,0.000036721463,0.021034628,0.04411325,0.0014860585,0.00026755146,0.000023977036,0.00036516302,0.00788504],"genre_scores_gemma":[0.99636286,0.00019439207,0.00014834439,0.00062518654,0.000060913782,0.00003946136,0.0000019601684,0.0000049636014,0.002561933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651504,0.00023676256,0.00043993088,0.0005408909,0.0019695708,0.00029780972],"domain_scores_gemma":[0.99558234,0.0037085693,0.00014568263,0.0002570967,0.00005287957,0.00025341962],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0038084781,0.00013403862,0.00018041712,0.00085175165,0.00095020956,0.00030189398,0.0007716799,0.00014307983,0.002175295],"category_scores_gemma":[0.0010722606,0.000098854754,0.000060414986,0.0025659115,0.0011626271,0.00030660408,0.0000056323897,0.00026240727,0.000845545],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018589739,0.00018093879,0.0060354336,0.0000073130946,0.00003357452,0.0000144849255,0.001987243,0.0019773673,0.00002082993,0.009938209,0.03470735,0.9450787],"study_design_scores_gemma":[0.0029685225,0.0017705876,0.14474669,0.00013187513,0.00008467094,0.00009146673,0.039901137,0.28661194,0.005431122,0.110479556,0.40643507,0.0013473433],"about_ca_topic_score_codex":0.000035842782,"about_ca_topic_score_gemma":0.00048612434,"teacher_disagreement_score":0.9437313,"about_ca_system_score_codex":0.000026806065,"about_ca_system_score_gemma":0.00015704738,"threshold_uncertainty_score":0.9999324},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.031267787039295204,"score_gpt":0.3032222994002345,"score_spread":0.27195451236093926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386357532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7670365,0.00015310648,0.16306908,0.06186074,0.0029541086,0.0010447003,0.0001121228,0.00066157186,0.0031080416],"genre_scores_gemma":[0.99297935,0.0030473478,0.00020754902,0.0030972804,0.00015118346,0.00009096593,0.000034993453,0.0000121848325,0.00037914395],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959329,0.00018163616,0.000659843,0.00051329035,0.0022673975,0.00044494634],"domain_scores_gemma":[0.9977245,0.0010385177,0.0001976223,0.00017308565,0.00007268076,0.00079364574],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022908207,0.00025961385,0.0003080471,0.0012725581,0.0013662879,0.00025861934,0.00022146595,0.0004206251,0.0014856115],"category_scores_gemma":[0.00025852767,0.00021341941,0.000101011734,0.0024073785,0.0008958423,0.0013305807,0.0000010396013,0.00054726395,0.0002832835],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015652108,0.00023343296,0.00034239184,0.000055414926,0.00006337211,0.0000062443223,0.0010022846,0.0045907823,0.00007293378,0.0014503315,0.002164858,0.9898614],"study_design_scores_gemma":[0.0051601613,0.002171326,0.0074584084,0.00022267393,0.000118533295,0.0002536861,0.0007112135,0.9500389,0.01142175,0.00036430548,0.02152133,0.00055771926],"about_ca_topic_score_codex":0.00008884967,"about_ca_topic_score_gemma":0.000054130713,"teacher_disagreement_score":0.9893037,"about_ca_system_score_codex":0.00011043665,"about_ca_system_score_gemma":0.0006736043,"threshold_uncertainty_score":0.9999338},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.031267787039295204,"score_gpt":0.3032222994002345,"score_spread":0.27195451236093926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388213881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7670365,0.00015310648,0.16306908,0.06186074,0.0029541086,0.0010447003,0.0001121228,0.00066157186,0.0031080416],"genre_scores_gemma":[0.99297935,0.0030473478,0.00020754902,0.0030972804,0.00015118346,0.00009096593,0.000034993453,0.0000121848325,0.00037914395],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959329,0.00018163616,0.000659843,0.00051329035,0.0022673975,0.00044494634],"domain_scores_gemma":[0.9977245,0.0010385177,0.0001976223,0.00017308565,0.00007268076,0.00079364574],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022908207,0.00025961385,0.0003080471,0.0012725581,0.0013662879,0.00025861934,0.00022146595,0.0004206251,0.0014856115],"category_scores_gemma":[0.00025852767,0.00021341941,0.000101011734,0.0024073785,0.0008958423,0.0013305807,0.0000010396013,0.00054726395,0.0002832835],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015652108,0.00023343296,0.00034239184,0.000055414926,0.00006337211,0.0000062443223,0.0010022846,0.0045907823,0.00007293378,0.0014503315,0.002164858,0.9898614],"study_design_scores_gemma":[0.0051601613,0.002171326,0.0074584084,0.00022267393,0.000118533295,0.0002536861,0.0007112135,0.9500389,0.01142175,0.00036430548,0.02152133,0.00055771926],"about_ca_topic_score_codex":0.00008884967,"about_ca_topic_score_gemma":0.000054130713,"teacher_disagreement_score":0.9893037,"about_ca_system_score_codex":0.00011043665,"about_ca_system_score_gemma":0.0006736043,"threshold_uncertainty_score":0.9999338},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01697251541754058,"score_gpt":0.31514235955021025,"score_spread":0.29816984413266967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388739347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.216228,0.000012144257,0.7329516,0.0486764,0.000833221,0.0005825945,0.000011893149,0.000525675,0.00017852326],"genre_scores_gemma":[0.99540603,0.0005242054,0.0016762246,0.0010539686,0.000086216496,0.00020526085,0.000039499973,0.000011794177,0.000996794],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847186,0.00005744069,0.00026837646,0.00034900964,0.00059223437,0.0002610874],"domain_scores_gemma":[0.9987209,0.00073772453,0.0000702493,0.00009885478,0.000044883625,0.000327379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009853943,0.00012104252,0.00017376833,0.0002672826,0.00051826384,0.000050652514,0.00009414561,0.000119491415,0.000361326],"category_scores_gemma":[0.00036290678,0.00009971876,0.00007296459,0.0007512797,0.00031782908,0.000111837624,0.0000013855221,0.00035887433,0.00005362932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008733245,0.00022269181,0.00012429706,0.00008284074,0.000026733936,0.0000098234,0.00028367885,0.0030952005,0.0012836538,0.00047957437,0.0068446626,0.98745954],"study_design_scores_gemma":[0.00071734295,0.00036890226,0.0013156335,0.00009383582,0.00003277794,0.00008651172,0.00014712088,0.98793626,0.0013077926,0.0003070855,0.0075736777,0.00011306355],"about_ca_topic_score_codex":0.000030225188,"about_ca_topic_score_gemma":0.00003976953,"teacher_disagreement_score":0.9873465,"about_ca_system_score_codex":0.000065010165,"about_ca_system_score_gemma":0.00011645502,"threshold_uncertainty_score":0.4066413},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.024828804874182705,"score_gpt":0.30018976319051216,"score_spread":0.27536095831632945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390492156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4487572,0.0008893077,0.46392295,0.07468109,0.0049339705,0.001151292,0.00013713498,0.00068148226,0.004845564],"genre_scores_gemma":[0.99279517,0.0033522416,0.0003037129,0.0028936681,0.00019478754,0.000077282704,0.000021931399,0.000012787835,0.00034839622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615353,0.00016358473,0.00064904225,0.0005522937,0.0020972798,0.00038425488],"domain_scores_gemma":[0.9978745,0.0010360924,0.00012631649,0.00015445887,0.00006014224,0.00074849924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.00028835505,0.0011182937,0.0010559178,0.00045716536,0.00019680745,0.00042166995,0.0020818608],"category_scores_gemma":[0.00016831554,0.00021204517,0.000111176254,0.001688549,0.00089592685,0.0016474158,8.052346e-7,0.00065251696,0.00018268153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001060652,0.0001930212,0.000094077215,0.00008523307,0.00007086554,0.0000073121946,0.000885485,0.0018848716,0.00005786975,0.0027768265,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.0018702901,0.0014963957,0.00037803344,0.00014296103,0.00041603693,0.0003829151,0.9461167,0.010056913,0.00036232264,0.035599258,0.00046405304],"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.000047650767,"teacher_disagreement_score":0.9920018,"about_ca_system_score_codex":0.00013996656,"about_ca_system_score_gemma":0.00088069914,"threshold_uncertainty_score":0.9988304},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.05553019755407622,"score_gpt":0.34553336769828613,"score_spread":0.2900031701442099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390738644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4282726,0.000044403132,0.5649632,0.002982251,0.00015854869,0.00055610796,0.000022008358,0.00016239996,0.0028384149],"genre_scores_gemma":[0.9585043,0.0002277974,0.040963974,0.000085106796,0.000056134737,0.00009027146,0.00002031338,0.000008141108,0.00004396676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976849,0.00014568376,0.00026714528,0.00035078806,0.0014217444,0.00012973092],"domain_scores_gemma":[0.999294,0.00012823832,0.00006452811,0.00011797071,0.0001544239,0.00024087378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018249224,0.0001098684,0.00015424358,0.00023933842,0.00017809757,0.000051517905,0.000073910174,0.0000724384,0.0005081636],"category_scores_gemma":[0.000055603607,0.0000767176,0.000036744408,0.00062962994,0.00053063716,0.00031509803,8.0654576e-7,0.00021707201,0.000004223987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007381259,0.0005066156,0.00005310297,0.000118227304,0.00009286507,0.000008739375,0.00045947608,0.0019558573,0.0014110294,0.0041404576,0.00053138897,0.99064845],"study_design_scores_gemma":[0.0006189386,0.0005039882,0.0001551634,0.00020886381,0.0002406729,0.0004996061,0.0002518713,0.9896953,0.0071910652,0.00034665441,0.00019555894,0.000092278235],"about_ca_topic_score_codex":0.00006855942,"about_ca_topic_score_gemma":0.000021994767,"teacher_disagreement_score":0.9905561,"about_ca_system_score_codex":0.00006262139,"about_ca_system_score_gemma":0.00066394894,"threshold_uncertainty_score":0.5564035},"labels":[],"label_agreement":null},{"id":"W4391467555","doi":"10.1109/trpms.2024.3355533","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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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; Business; Computer science; Library science; Medical physics; Medicine","score_opus":0.024828804874182705,"score_gpt":0.30018976319051216,"score_spread":0.27536095831632945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391467555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4487572,0.0008893077,0.46392295,0.07468109,0.0049339705,0.001151292,0.00013713498,0.00068148226,0.004845564],"genre_scores_gemma":[0.99279517,0.0033522416,0.0003037129,0.0028936681,0.00019478754,0.000077282704,0.000021931399,0.000012787835,0.00034839622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615353,0.00016358473,0.00064904225,0.0005522937,0.0020972798,0.00038425488],"domain_scores_gemma":[0.9978745,0.0010360924,0.00012631649,0.00015445887,0.00006014224,0.00074849924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.00028835505,0.0011182937,0.0010559178,0.00045716536,0.00019680745,0.00042166995,0.0020818608],"category_scores_gemma":[0.00016831554,0.00021204517,0.000111176254,0.001688549,0.00089592685,0.0016474158,8.052346e-7,0.00065251696,0.00018268153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001060652,0.0001930212,0.000094077215,0.00008523307,0.00007086554,0.0000073121946,0.000885485,0.0018848716,0.00005786975,0.0027768265,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.0018702901,0.0014963957,0.00037803344,0.00014296103,0.00041603693,0.0003829151,0.9461167,0.010056913,0.00036232264,0.035599258,0.00046405304],"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.000047650767,"teacher_disagreement_score":0.9920018,"about_ca_system_score_codex":0.00013996656,"about_ca_system_score_gemma":0.00088069914,"threshold_uncertainty_score":0.9988304},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.024828804874182705,"score_gpt":0.30018976319051216,"score_spread":0.27536095831632945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392383204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4487572,0.0008893077,0.46392295,0.07468109,0.0049339705,0.001151292,0.00013713498,0.00068148226,0.004845564],"genre_scores_gemma":[0.99279517,0.0033522416,0.0003037129,0.0028936681,0.00019478754,0.000077282704,0.000021931399,0.000012787835,0.00034839622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615353,0.00016358473,0.00064904225,0.0005522937,0.0020972798,0.00038425488],"domain_scores_gemma":[0.9978745,0.0010360924,0.00012631649,0.00015445887,0.00006014224,0.00074849924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.00028835505,0.0011182937,0.0010559178,0.00045716536,0.00019680745,0.00042166995,0.0020818608],"category_scores_gemma":[0.00016831554,0.00021204517,0.000111176254,0.001688549,0.00089592685,0.0016474158,8.052346e-7,0.00065251696,0.00018268153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001060652,0.0001930212,0.000094077215,0.00008523307,0.00007086554,0.0000073121946,0.000885485,0.0018848716,0.00005786975,0.0027768265,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.0018702901,0.0014963957,0.00037803344,0.00014296103,0.00041603693,0.0003829151,0.9461167,0.010056913,0.00036232264,0.035599258,0.00046405304],"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.000047650767,"teacher_disagreement_score":0.9920018,"about_ca_system_score_codex":0.00013996656,"about_ca_system_score_gemma":0.00088069914,"threshold_uncertainty_score":0.9988304},"labels":[],"label_agreement":null},{"id":"W4393405270","doi":"10.1109/trpms.2024.3380109","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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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; Radiation; Computer science; Medical physics; Business; Data science; Medicine; Physics; Nuclear physics","score_opus":0.024828804874182705,"score_gpt":0.30018976319051216,"score_spread":0.27536095831632945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393405270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4487572,0.0008893077,0.46392295,0.07468109,0.0049339705,0.001151292,0.00013713498,0.00068148226,0.004845564],"genre_scores_gemma":[0.99279517,0.0033522416,0.0003037129,0.0028936681,0.00019478754,0.000077282704,0.000021931399,0.000012787835,0.00034839622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615353,0.00016358473,0.00064904225,0.0005522937,0.0020972798,0.00038425488],"domain_scores_gemma":[0.9978745,0.0010360924,0.00012631649,0.00015445887,0.00006014224,0.00074849924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.00028835505,0.0011182937,0.0010559178,0.00045716536,0.00019680745,0.00042166995,0.0020818608],"category_scores_gemma":[0.00016831554,0.00021204517,0.000111176254,0.001688549,0.00089592685,0.0016474158,8.052346e-7,0.00065251696,0.00018268153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001060652,0.0001930212,0.000094077215,0.00008523307,0.00007086554,0.0000073121946,0.000885485,0.0018848716,0.00005786975,0.0027768265,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.0018702901,0.0014963957,0.00037803344,0.00014296103,0.00041603693,0.0003829151,0.9461167,0.010056913,0.00036232264,0.035599258,0.00046405304],"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.000047650767,"teacher_disagreement_score":0.9920018,"about_ca_system_score_codex":0.00013996656,"about_ca_system_score_gemma":0.00088069914,"threshold_uncertainty_score":0.9988304},"labels":[],"label_agreement":null},{"id":"W4396574852","doi":"10.1109/trpms.2024.3390313","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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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; Medical information; Data science; Computer science; Library science; Business; Information retrieval; Medical physics; Medicine","score_opus":0.024828804874182705,"score_gpt":0.30018976319051216,"score_spread":0.27536095831632945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396574852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4487572,0.0008893077,0.46392295,0.07468109,0.0049339705,0.001151292,0.00013713498,0.00068148226,0.004845564],"genre_scores_gemma":[0.99279517,0.0033522416,0.0003037129,0.0028936681,0.00019478754,0.000077282704,0.000021931399,0.000012787835,0.00034839622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615353,0.00016358473,0.00064904225,0.0005522937,0.0020972798,0.00038425488],"domain_scores_gemma":[0.9978745,0.0010360924,0.00012631649,0.00015445887,0.00006014224,0.00074849924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198817,0.0002675697,0.00028835505,0.0011182937,0.0010559178,0.00045716536,0.00019680745,0.00042166995,0.0020818608],"category_scores_gemma":[0.00016831554,0.00021204517,0.000111176254,0.001688549,0.00089592685,0.0016474158,8.052346e-7,0.00065251696,0.00018268153],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001060652,0.0001930212,0.000094077215,0.00008523307,0.00007086554,0.0000073121946,0.000885485,0.0018848716,0.00005786975,0.0027768265,0.001372564,0.9924658],"study_design_scores_gemma":[0.002714138,0.0018702901,0.0014963957,0.00037803344,0.00014296103,0.00041603693,0.0003829151,0.9461167,0.010056913,0.00036232264,0.035599258,0.00046405304],"about_ca_topic_score_codex":0.00008616465,"about_ca_topic_score_gemma":0.000047650767,"teacher_disagreement_score":0.9920018,"about_ca_system_score_codex":0.00013996656,"about_ca_system_score_gemma":0.00088069914,"threshold_uncertainty_score":0.9988304},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.02343236627408442,"score_gpt":0.3543237496877761,"score_spread":0.3308913834136917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401507296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20443073,0.0003020249,0.7843267,0.0070829173,0.00030301086,0.00023974851,0.0000060415387,0.0007204663,0.002588363],"genre_scores_gemma":[0.9608294,0.00047793475,0.037315726,0.00040366614,0.00008654454,0.000028350118,0.0000062597887,0.000017462811,0.0008346597],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980371,0.00015393409,0.00023942391,0.00047597094,0.0008021654,0.0002914222],"domain_scores_gemma":[0.99888283,0.00045203592,0.000029755376,0.00011303087,0.000033485772,0.0004888795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009319976,0.00017219117,0.00023886125,0.0002723954,0.00036934036,0.00020084622,0.000108435815,0.00015091599,0.0006136715],"category_scores_gemma":[0.00005820759,0.00011591202,0.00006379776,0.0006783796,0.00038709503,0.0002872541,0.0000011395732,0.0006276913,0.000023125422],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002262381,0.00039108045,0.00076294487,0.00014205702,0.000106868305,0.00015933247,0.00082042255,0.0010359759,0.0027732067,0.002349776,0.00011714434,0.991115],"study_design_scores_gemma":[0.00088664825,0.0022293306,0.0016581912,0.00030506784,0.00017139393,0.00052626064,0.0003947559,0.97972095,0.009653016,0.00021608485,0.003983676,0.00025462947],"about_ca_topic_score_codex":0.00010255006,"about_ca_topic_score_gemma":0.0000447182,"teacher_disagreement_score":0.99086034,"about_ca_system_score_codex":0.000056093428,"about_ca_system_score_gemma":0.00022642761,"threshold_uncertainty_score":0.6719272},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.02785229504301815,"score_gpt":0.30962536679928837,"score_spread":0.2817730717562702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401634064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9109581,0.0003424303,0.08421468,0.0013156962,0.0022218677,0.0005501162,0.00012255224,0.00013611418,0.00013845295],"genre_scores_gemma":[0.99884444,0.00020357688,0.00017054258,0.00011469817,0.00047443822,0.000038396323,0.000018005683,0.0000022090258,0.00013367936],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985228,0.0000890379,0.00027592562,0.00042089398,0.00043202002,0.00025933268],"domain_scores_gemma":[0.9981576,0.0014784669,0.00006707075,0.000032592226,0.00002579706,0.00023842789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069081323,0.00016042862,0.0001616566,0.000103713355,0.0007620215,0.0002659138,0.00013069868,0.00019306818,0.00046839792],"category_scores_gemma":[0.00007860131,0.00007499213,0.00009765473,0.0009549139,0.00015620122,0.000429191,0.0000015436814,0.00015807906,0.000027648017],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032269803,0.00009661131,0.00022950208,0.000034054054,0.00002725558,0.0000012174676,0.00030504516,0.0016012581,0.0061645512,0.00043018843,0.00024760354,0.9908304],"study_design_scores_gemma":[0.0004683027,0.0006056224,0.0031481008,0.00008532401,0.0000546357,0.00001019308,0.00012735445,0.93317723,0.052298054,0.00021362034,0.009526538,0.00028500857],"about_ca_topic_score_codex":0.000095861484,"about_ca_topic_score_gemma":0.000066468085,"teacher_disagreement_score":0.99054545,"about_ca_system_score_codex":0.00006738207,"about_ca_system_score_gemma":0.00010273682,"threshold_uncertainty_score":0.58609307},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.029426252685110673,"score_gpt":0.34681355208505193,"score_spread":0.31738729939994126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406457585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08647002,0.000004134144,0.864523,0.044668466,0.00023079256,0.0004915144,0.000015138522,0.00018602828,0.0034109247],"genre_scores_gemma":[0.7675549,0.00023480595,0.22658677,0.0045966962,0.00004837494,0.00021275113,0.00000941666,0.0000100132165,0.00074626296],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998263,0.00008636802,0.00033797958,0.00044861602,0.00065034727,0.00021368358],"domain_scores_gemma":[0.9988641,0.0004987826,0.00006758025,0.00019670006,0.000052112548,0.00032068195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008986401,0.00015064694,0.00022174892,0.00032049028,0.00044548712,0.000051173578,0.00012647372,0.00011722713,0.00038963795],"category_scores_gemma":[0.00020717976,0.000113233924,0.00007865473,0.0006289534,0.00047895336,0.000090868256,0.0000018430183,0.0003785527,0.000011358981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026809555,0.0015703349,0.00024059662,0.00027948234,0.00004894873,0.000024886422,0.00015126586,0.02331614,0.006892831,0.012570237,0.011018269,0.9436189],"study_design_scores_gemma":[0.00093156815,0.0001938506,0.00011201454,0.0002635628,0.00006335666,0.00007933629,0.000025026047,0.9925455,0.0033383525,0.0016987766,0.0006432372,0.00010545759],"about_ca_topic_score_codex":0.000041610492,"about_ca_topic_score_gemma":0.000011279876,"teacher_disagreement_score":0.96922934,"about_ca_system_score_codex":0.00007766079,"about_ca_system_score_gemma":0.0004472196,"threshold_uncertainty_score":0.46175456},"labels":[],"label_agreement":null},{"id":"W4407638266","doi":"10.1109/trpms.2025.3542729","title":"Lower Extremity Flow Quantification Using Dynamic ⁸²Rb PET: A Preclinical Investigation","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Micropharma (Canada)","funders":"National Heart, Lung, and Blood Institute","keywords":"Positron emission tomography; Flow (mathematics); Medicine; Nuclear medicine; Mechanics; Physics","score_opus":0.06294491363232699,"score_gpt":0.37600913671091274,"score_spread":0.3130642230785857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407638266","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40756646,0.000038065573,0.5551574,0.035986252,0.0004044402,0.00034990688,0.000010705488,0.00014698916,0.0003397494],"genre_scores_gemma":[0.9807353,0.00037465172,0.016378375,0.0020613612,0.000035144276,0.00004984847,0.000010905054,0.0000056663,0.00034876194],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983356,0.00009234462,0.00039216707,0.0004159966,0.00057429995,0.00018956984],"domain_scores_gemma":[0.9988853,0.00041525043,0.000080545346,0.00018831601,0.000046119043,0.0003844688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097189145,0.00012422352,0.00019182698,0.00022887843,0.0004607533,0.0000534913,0.00012787891,0.00013892079,0.00037939713],"category_scores_gemma":[0.00027031463,0.00010123539,0.00006916958,0.00072461914,0.00072337454,0.00012802435,0.0000022443542,0.00036270617,0.000013567696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025019367,0.0014312048,0.0050031305,0.00028118683,0.00011583368,0.00003121453,0.00036151797,0.0029247242,0.009239324,0.0060453448,0.0045528123,0.9697635],"study_design_scores_gemma":[0.0006101792,0.00009394214,0.0018708105,0.00020695246,0.00007974263,0.000062557956,0.000038023853,0.9914583,0.0021001857,0.00085842866,0.0025094573,0.000111426954],"about_ca_topic_score_codex":0.00006968654,"about_ca_topic_score_gemma":0.00004180727,"teacher_disagreement_score":0.98853356,"about_ca_system_score_codex":0.00008261592,"about_ca_system_score_gemma":0.00053290086,"threshold_uncertainty_score":0.41541326},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Radiobiology; Medical physics; Dose rate; Medicine; Nuclear medicine; Radiation therapy; Internal medicine","score_opus":0.02459546812763193,"score_gpt":0.2951737971426827,"score_spread":0.2705783290150508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407690554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9005388,0.0016307649,0.021902977,0.072285265,0.0008571497,0.00042962236,0.000009323412,0.00013191531,0.0022141556],"genre_scores_gemma":[0.99713236,0.0020659708,0.00011220668,0.0004031598,0.0000931788,0.00006150474,2.490951e-7,0.0000041734256,0.00012722216],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888295,0.00015205618,0.00025991106,0.00030937282,0.00018018651,0.00021552434],"domain_scores_gemma":[0.99929047,0.0004297534,0.000034109158,0.00010548954,0.000014341529,0.00012586974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007290265,0.00013082424,0.00017289394,0.00026685026,0.00046211138,0.00006728143,0.0001571887,0.00011077216,0.0004047644],"category_scores_gemma":[0.000026982805,0.00008705162,0.000041550313,0.0005100524,0.00026746967,0.00010049336,0.000003416554,0.00034017413,0.000016544675],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002928234,0.000081405575,0.0001072971,0.000010290168,0.000033195658,7.922594e-7,0.0012165435,0.0036175258,0.000022306649,0.020465564,0.000037179187,0.97437865],"study_design_scores_gemma":[0.0013260276,0.00016154718,0.001678083,0.00008758552,0.000030523068,0.000009581316,0.004319076,0.92827237,0.0006644695,0.0055453074,0.057615947,0.00028946486],"about_ca_topic_score_codex":0.000021999958,"about_ca_topic_score_gemma":0.0000391238,"teacher_disagreement_score":0.97408915,"about_ca_system_score_codex":0.000023864939,"about_ca_system_score_gemma":0.0000700148,"threshold_uncertainty_score":0.44318867},"labels":[],"label_agreement":null},{"id":"W4408519581","doi":"10.1109/trpms.2025.3551946","title":"Generative Inpainting-Based Anomaly Detection for CT Liver Tumor Detection","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Inpainting; Anomaly detection; Artificial intelligence; Anomaly (physics); Pattern recognition (psychology); Generative grammar; Computer science; Computer vision; Image (mathematics); Physics","score_opus":0.015566042883510706,"score_gpt":0.266098715260233,"score_spread":0.2505326723767223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408519581","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03711501,0.00003122983,0.9590256,0.002373876,0.00049781974,0.00042204975,0.000006571098,0.0002748085,0.00025301127],"genre_scores_gemma":[0.9883815,0.000044125492,0.009855759,0.0011928614,0.000041743046,0.00034006336,7.2104336e-7,0.0000043076852,0.00013889074],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986016,0.00009109432,0.00026915487,0.00048223525,0.00033714526,0.00021875829],"domain_scores_gemma":[0.99909407,0.00044963247,0.000099270044,0.00015988617,0.00006108199,0.00013607087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006854788,0.00014065053,0.00013366001,0.00038046855,0.0011658346,0.00018335081,0.0003018421,0.00007699412,0.000034170345],"category_scores_gemma":[0.000053060194,0.0001251809,0.000086405,0.0010297927,0.00021274625,0.00032160056,0.0000029768216,0.00018602521,0.0000075111216],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016977505,0.00010019442,0.00002355127,0.000017904662,0.000013304177,0.0000014554796,0.00005158402,0.0024282911,0.0014833035,0.004254392,0.00006957099,0.9915395],"study_design_scores_gemma":[0.00034715506,0.0002572861,0.00023312855,0.000018338977,0.000011095376,0.000012634458,0.000018827463,0.7438845,0.24954662,0.0007007342,0.004851756,0.00011794649],"about_ca_topic_score_codex":0.000093018825,"about_ca_topic_score_gemma":0.00033263976,"teacher_disagreement_score":0.9914215,"about_ca_system_score_codex":0.00007473854,"about_ca_system_score_gemma":0.00020003866,"threshold_uncertainty_score":0.89667755},"labels":[],"label_agreement":null},{"id":"W4411055032","doi":"10.1109/trpms.2025.3576730","title":"Cold Atmospheric Plasma Combines With Zirconia Nanoparticles for Lung Cancer Therapy via TGF- β Signaling Pathway","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Key Research and Development Program of China; National Research Foundation","keywords":"Atmospheric-pressure plasma; Lung cancer; Materials science; Signal transduction; Cancer research; Nanoparticle; Plasma; Cancer therapy; Cancer; Nanotechnology; Medicine; Chemistry; Internal medicine; Biochemistry; Physics","score_opus":0.010097875490992501,"score_gpt":0.24033450252482633,"score_spread":0.23023662703383382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411055032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85972774,0.00034560374,0.1381993,0.00077001547,0.00043094394,0.0003211727,0.000024686136,0.00012128045,0.00005925716],"genre_scores_gemma":[0.9977098,0.0007301876,0.0009051335,0.00016746882,0.000025710018,0.000400551,0.0000016046074,0.000008078884,0.00005145976],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992232,0.000021720047,0.00018902132,0.00019247728,0.0001800543,0.00019358228],"domain_scores_gemma":[0.99951786,0.0002577777,0.000028675904,0.00006695161,0.000022682934,0.00010606541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019499156,0.00011951195,0.0001396732,0.000043086697,0.00039530976,0.000070213966,0.000109172855,0.00007814389,0.00011081383],"category_scores_gemma":[0.0000033998679,0.00009058959,0.000031357988,0.00048261884,0.00015045643,0.00012012419,4.7890563e-7,0.000066404195,0.0000014237793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017597574,0.00027366364,0.0013578616,0.00018804563,0.00027555396,0.0000021651151,0.0005853706,0.26406378,0.3618065,0.004311698,0.00096388906,0.3659955],"study_design_scores_gemma":[0.0010241391,0.00011682021,0.00016297899,0.000059795242,0.000025009302,0.000001908567,0.000041219526,0.4544352,0.5413183,0.0001044932,0.0025691462,0.00014099588],"about_ca_topic_score_codex":0.000053779793,"about_ca_topic_score_gemma":0.00017561055,"teacher_disagreement_score":0.3658545,"about_ca_system_score_codex":0.000023748247,"about_ca_system_score_gemma":0.00010125512,"threshold_uncertainty_score":0.3694136},"labels":[],"label_agreement":null},{"id":"W4411336717","doi":"10.1109/trpms.2025.3579209","title":"Time-of-Flight Requirements to Mitigate Blurring Induced by Annihilation Photon Acollinearity","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Radiation and Plasma Medical Sciences","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Québec Consortium for Drug Discovery","keywords":"Annihilation; Photon; Physics; Computer science; Nuclear physics; Aerospace engineering; Optics; Engineering","score_opus":0.020206939072489747,"score_gpt":0.3019454125726915,"score_spread":0.2817384735002017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411336717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8656888,0.00000713859,0.13023262,0.0024446296,0.00021730074,0.00015982235,0.000023357,0.00005005922,0.0011762803],"genre_scores_gemma":[0.9986885,0.000008181423,0.0010245732,0.000115386174,0.000010348136,0.000009470601,0.0000031046363,0.0000018943445,0.00013849855],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991398,0.000023741097,0.0001931798,0.00021172012,0.0002842401,0.00014731778],"domain_scores_gemma":[0.99960715,0.00015321844,0.000047700873,0.00007389319,0.000022012468,0.00009602985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021049636,0.00008291413,0.00011713082,0.000120410186,0.00024109085,0.000027028223,0.00011787811,0.00006638251,0.00017061042],"category_scores_gemma":[0.000024761235,0.000071268274,0.000026772757,0.0005126138,0.00018986446,0.00012304708,0.0000027167728,0.00013645155,0.000013357727],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047925394,0.0003107295,0.0013473901,0.000014998,0.000056633053,5.933452e-7,0.00027975466,0.00653649,0.03206563,0.0026523843,0.00075309596,0.9559344],"study_design_scores_gemma":[0.0010003962,0.00033164403,0.00090194045,0.0001852823,0.000040439816,4.79487e-7,0.000225025,0.21703249,0.7724479,0.003922189,0.0036142871,0.00029790433],"about_ca_topic_score_codex":0.000045885732,"about_ca_topic_score_gemma":0.000005450286,"teacher_disagreement_score":0.9556365,"about_ca_system_score_codex":0.000018979932,"about_ca_system_score_gemma":0.00005539054,"threshold_uncertainty_score":0.29062358},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.02899418609351816,"score_gpt":0.34803083284896913,"score_spread":0.31903664675545096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411866856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099797666,0.00079902535,0.85724056,0.041297566,0.00034372602,0.00027188988,0.0000092544215,0.0000569834,0.00018333174],"genre_scores_gemma":[0.99331206,0.0010041032,0.0024244464,0.0029150534,0.000077294084,0.000065234926,0.000007469037,0.000008406134,0.0001859206],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984255,0.00007250812,0.00025272148,0.0003576375,0.00066526595,0.00022638065],"domain_scores_gemma":[0.9983502,0.00077150844,0.000059493177,0.00007096705,0.00004332547,0.00070450664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008710137,0.00012396078,0.00019705342,0.00023784029,0.00064754527,0.00006816925,0.000093077666,0.00011966101,0.00017508536],"category_scores_gemma":[0.00062625005,0.000098463024,0.00005723337,0.00031813895,0.0005566437,0.00012330373,0.0000017074585,0.00040549613,3.4709504e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021191762,0.00020037711,0.012489946,0.00037094715,0.00008306564,0.000014061407,0.00017727981,0.121384114,0.0002287025,0.0022584025,0.0004482121,0.86213297],"study_design_scores_gemma":[0.0014199597,0.00005732802,0.001406991,0.00030165768,0.00012970004,0.0000074603477,0.00006318061,0.9953445,0.00010933992,0.00021131856,0.00085023884,0.00009830456],"about_ca_topic_score_codex":0.00008649267,"about_ca_topic_score_gemma":0.000013909074,"teacher_disagreement_score":0.8935144,"about_ca_system_score_codex":0.000056622343,"about_ca_system_score_gemma":0.0009129248,"threshold_uncertainty_score":0.498046},"labels":[],"label_agreement":null},{"id":"W4414110476","doi":"10.1109/trpms.2025.3608506","title":"Feature Space-Guided Denoising of Noisy 4-D Data: Applications to Dynamic PET Imaging and Dual-Calibrated Functional MRI","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary; Hotchkiss Brain Institute; University of British Columbia","funders":"Pacific Institute for Research and Evaluation","keywords":"Noise reduction; Pattern recognition (psychology); Noise (video); Feature (linguistics); Voxel; Parametric statistics; Representation (politics); SIGNAL (programming language); Heuristic","score_opus":0.030629575532424035,"score_gpt":0.34057002922546276,"score_spread":0.30994045369303874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414110476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053682342,0.00014656976,0.79147947,0.15321343,0.00016336916,0.0005744523,0.00007476258,0.000121309866,0.00054430426],"genre_scores_gemma":[0.9789105,0.00062755356,0.01727984,0.002293603,0.000046153145,0.00009833934,0.000051372874,0.000008144268,0.0006844912],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985923,0.00004069895,0.00024977978,0.0004462311,0.0004937746,0.00017719316],"domain_scores_gemma":[0.99899447,0.00030301898,0.00006291977,0.00025795933,0.000055968616,0.00032564567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053918833,0.00012285793,0.00020189125,0.00029957358,0.00036124687,0.0000512855,0.00014270053,0.00007192706,0.00011787296],"category_scores_gemma":[0.00007600922,0.00010054213,0.000029696945,0.00091832643,0.00047104675,0.00015727863,0.000009555407,0.00026749336,0.0000048499865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026362567,0.0014278365,0.00610343,0.0006577404,0.00029241721,0.000045981742,0.00039513773,0.0016862066,0.0317976,0.021079993,0.14004484,0.7962052],"study_design_scores_gemma":[0.002134242,0.00020344125,0.0086815655,0.000660023,0.0003189608,0.0005320353,0.00037843967,0.86847633,0.009693376,0.0009795732,0.107556686,0.00038534493],"about_ca_topic_score_codex":0.000055479555,"about_ca_topic_score_gemma":0.000036754365,"teacher_disagreement_score":0.9252282,"about_ca_system_score_codex":0.00003267654,"about_ca_system_score_gemma":0.00030295958,"threshold_uncertainty_score":0.4099989},"labels":[],"label_agreement":null},{"id":"W4415123985","doi":"10.1109/trpms.2025.3619872","title":"YRT-PET: An Open-Source GPU-Accelerated Image Reconstruction Engine for Positron Emission Tomography","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":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"National Institute of Biomedical Imaging and Bioengineering; HORIZON EUROPE European Innovation Council; National Institute on Aging; National Institutes of Health","keywords":"Scanner; Iterative reconstruction; Python (programming language); Software; Plug-in; Positron emission tomography; Interoperability","score_opus":0.02739932342120224,"score_gpt":0.338037050473867,"score_spread":0.3106377270526648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415123985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32675987,0.000033398115,0.6446287,0.025878618,0.0003740613,0.00092473,0.000025724357,0.00024280598,0.0011320506],"genre_scores_gemma":[0.96378994,0.00033731878,0.033051923,0.001714276,0.000071068716,0.00022244669,0.00003023208,0.000010659754,0.00077215454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987032,0.00005374753,0.0002950964,0.0003995053,0.000338075,0.00021039869],"domain_scores_gemma":[0.9991283,0.00021198085,0.00006282984,0.00015470837,0.00006435742,0.00037783053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006638731,0.00013180288,0.00020498378,0.00027746276,0.00058081176,0.0001298833,0.00021200953,0.00011237053,0.00032512867],"category_scores_gemma":[0.00006829018,0.00010384282,0.00005262451,0.000735136,0.0003679757,0.00027845454,0.000003071708,0.00024951866,0.0000027600063],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018023762,0.00050533836,0.00024739772,0.00006936407,0.000040097504,0.000003084376,0.00008174151,0.00006746646,0.01935638,0.000841795,0.0040336736,0.97457343],"study_design_scores_gemma":[0.0039899065,0.0016203773,0.00095693837,0.000642692,0.00020049582,0.00026875176,0.00026413743,0.8095064,0.13999365,0.0011992145,0.040975172,0.00038221717],"about_ca_topic_score_codex":0.000082592174,"about_ca_topic_score_gemma":0.000015377102,"teacher_disagreement_score":0.9741912,"about_ca_system_score_codex":0.00003631928,"about_ca_system_score_gemma":0.00023031073,"threshold_uncertainty_score":0.44671932},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.10751060167778653,"score_gpt":0.41508766283768006,"score_spread":0.30757706115989353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415593673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.696951,0.0013779177,0.28520423,0.011590036,0.0010839242,0.0017244517,0.0003701898,0.00017428209,0.0015239867],"genre_scores_gemma":[0.9880396,0.0014718599,0.009880749,0.00037006833,0.000020423386,0.00012000511,0.000038395443,0.000008577771,0.000050321898],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99503136,0.00057262374,0.0010522433,0.000544795,0.0025276202,0.00027133693],"domain_scores_gemma":[0.9968022,0.0015968553,0.00043243697,0.00025681715,0.00059484283,0.00031681053],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001987335,0.00025097677,0.00054100517,0.00053165806,0.00045257338,0.000039315273,0.00027314448,0.000067843896,0.001580658],"category_scores_gemma":[0.00044229376,0.00021988423,0.00013427243,0.0014284931,0.0017660456,0.00020604685,0.0000050445005,0.00035285746,0.000012007994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058923365,0.006420208,0.004840586,0.0012483944,0.0024152782,0.00003116742,0.0031100342,0.020881284,0.06321854,0.0040242807,0.007946665,0.88527435],"study_design_scores_gemma":[0.0029966913,0.00046290315,0.0048881304,0.0011081405,0.0011020373,0.00001652177,0.001588046,0.8748488,0.11193729,0.0006453952,0.00022223154,0.00018384572],"about_ca_topic_score_codex":0.0007789946,"about_ca_topic_score_gemma":0.000071670736,"teacher_disagreement_score":0.8850905,"about_ca_system_score_codex":0.00012913861,"about_ca_system_score_gemma":0.0012119774,"threshold_uncertainty_score":0.999332},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.04793615150593006,"score_gpt":0.3349226174228511,"score_spread":0.28698646591692106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417251900","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21687669,0.00023569433,0.7297284,0.050541043,0.000681486,0.0018285718,0.000019943704,0.00004712138,0.0000410661],"genre_scores_gemma":[0.99230886,0.0017993611,0.004330781,0.0008166132,0.00009682449,0.00045019394,0.000005848161,0.0000093193,0.00018218505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99655986,0.0005468082,0.0005696029,0.0005958874,0.0013971896,0.0003306742],"domain_scores_gemma":[0.9954458,0.003494468,0.00022981576,0.00025906652,0.00028294083,0.00028792882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075385766,0.00022795079,0.00035319506,0.0003336021,0.0012906091,0.00008397998,0.00020290869,0.00023628827,0.00015050723],"category_scores_gemma":[0.00080864975,0.00016460691,0.000087119275,0.0009793817,0.0011637381,0.00018392873,0.0000032208122,0.00041672605,0.000002362636],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049498415,0.0005412346,0.00003676222,0.00022477363,0.00019883536,0.0000015474529,0.00027270566,0.01424459,0.015566594,0.0051268116,0.0034352501,0.9598559],"study_design_scores_gemma":[0.0025526392,0.0006037766,0.0014575138,0.00032765645,0.0007281558,0.000034020173,0.00015386827,0.91057575,0.0809216,0.0019119965,0.0005845916,0.00014845372],"about_ca_topic_score_codex":0.0005920952,"about_ca_topic_score_gemma":0.00015285621,"teacher_disagreement_score":0.95970744,"about_ca_system_score_codex":0.00013879065,"about_ca_system_score_gemma":0.0007946322,"threshold_uncertainty_score":0.99264526},"labels":[],"label_agreement":null}]}