{"meta":{"query_hash":"b55de54ccfba","filters":{"venue":"Zeitschrift für Medizinische Physik"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/b55de54ccfba","api":"https://metacan.xera.ac/api/v1/cohort?venue=Zeitschrift+f%C3%BCr+Medizinische+Physik"},"results":[{"id":"W1963545754","doi":"10.1016/j.zemedi.2007.03.002","title":"STEAM-Sequenz mit Multi-Echo-Auslese für die statische Magnetresonanz-Elastographie","year":2007,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Physics; Molecular biology","score_opus":0.019234696510761002,"score_gpt":0.3162316726221189,"score_spread":0.2969969761113579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963545754","genre_codex":"review","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":[0.3598647,0.51262814,0.025969189,0.00527632,0.024410563,0.0063858456,0.00190077,0.0032555151,0.060308967],"genre_scores_gemma":[0.92809653,0.019038012,0.030762786,0.0042573856,0.009700935,0.00018956685,0.0013229778,0.000939657,0.0056921546],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.98531413,0.0006601143,0.002897204,0.00300585,0.0032387075,0.004883992],"domain_scores_gemma":[0.9895706,0.0020007011,0.0012101643,0.003010046,0.0009575529,0.0032509218],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0035073336,0.002596932,0.0027262038,0.0023593064,0.0011086487,0.00040202547,0.0016373096,0.0012908899,0.0012506964],"category_scores_gemma":[0.0013818608,0.002436415,0.0018652341,0.003812722,0.0025343273,0.0010579037,0.0005469744,0.0046321484,0.0055792048],"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":[0.007588075,0.01999918,0.18600073,0.0062527987,0.020356955,0.003498764,0.037300624,0.00006171214,0.40466282,0.0047519617,0.102624714,0.20690167],"study_design_scores_gemma":[0.011704208,0.0022173068,0.033049133,0.0016620454,0.004655221,0.00009924562,0.005701454,0.00021966861,0.018188747,0.000062891406,0.9196892,0.0027509115],"about_ca_topic_score_codex":0.0013015864,"about_ca_topic_score_gemma":0.00036486142,"teacher_disagreement_score":0.81706446,"about_ca_system_score_codex":0.00006437469,"about_ca_system_score_gemma":0.0007482211,"threshold_uncertainty_score":0.9996623},"labels":[],"label_agreement":null},{"id":"W1985045888","doi":"10.1016/s0939-3889(15)70480-0","title":"A computer aided diagnostic system for radiotherapy planning","year":2002,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Segmentation; Computer science; Radiation treatment planning; Artificial intelligence; Spinal cord; Image processing; Feature (linguistics); Computer vision; Radiology; Medicine; Radiation therapy; Pattern recognition (psychology); Image (mathematics)","score_opus":0.020658555080260422,"score_gpt":0.2685688103680348,"score_spread":0.24791025528777438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985045888","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":[0.026961785,0.19740304,0.7337579,0.0055778264,0.019906066,0.0026855692,0.000340166,0.00345392,0.009913734],"genre_scores_gemma":[0.9668138,0.0017980937,0.014852974,0.00085691025,0.014431532,0.00026788394,0.0001498874,0.00031937726,0.0005095372],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99577546,0.00018984106,0.0010217408,0.0008988688,0.0007964186,0.0013176585],"domain_scores_gemma":[0.99569446,0.0023211825,0.00024739315,0.000852719,0.00013658968,0.00074768637],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005752723,0.0008287013,0.0013771367,0.000304919,0.000337307,0.00027245883,0.0006904506,0.00036676842,0.00038684264],"category_scores_gemma":[0.00039666792,0.0007853872,0.00068631343,0.0006179874,0.00017446648,0.0002685481,0.00008262636,0.000820831,0.0010654284],"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":[0.00009722625,0.0014622558,0.0024494156,0.013706419,0.013964313,0.00091287284,0.023397934,0.12693451,0.01707041,0.009380538,0.6259207,0.1647034],"study_design_scores_gemma":[0.0024035838,0.0001489469,0.00010972572,0.0017928883,0.00085600716,0.000015242187,0.0002635303,0.7051993,0.0015907828,0.000007126777,0.28678414,0.00082872226],"about_ca_topic_score_codex":0.000032215143,"about_ca_topic_score_gemma":3.8841364e-7,"teacher_disagreement_score":0.939852,"about_ca_system_score_codex":0.000037048005,"about_ca_system_score_gemma":0.00003660935,"threshold_uncertainty_score":0.99971235},"labels":[],"label_agreement":null},{"id":"W1994141795","doi":"10.1016/j.zemedi.2014.08.007","title":"Scan time reduction in 23Na-Magnetic Resonance Imaging using the chemical shift imaging sequence: Evaluation of an iterative reconstruction method","year":2014,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Undersampling; Iterative reconstruction; Compressed sensing; Image quality; Imaging phantom; Reduction (mathematics); Magnetic resonance imaging; k-space; Computer science; Artificial intelligence; Image resolution; Scanner; Computer vision; Algorithm; Mathematics; Nuclear medicine; Image (mathematics); Medicine; Radiology","score_opus":0.03186606783393217,"score_gpt":0.3908927032601856,"score_spread":0.35902663542625346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994141795","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":[0.7864712,0.041749053,0.14537708,0.007985696,0.0021080999,0.007923921,0.0001706499,0.00053897867,0.0076753153],"genre_scores_gemma":[0.8991014,0.0001942996,0.09841707,0.0001660573,0.0016436463,0.00023015341,0.00014000053,0.00008685545,0.000020530184],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949324,0.0012541814,0.0011131943,0.0010084152,0.0010722196,0.0006195807],"domain_scores_gemma":[0.99700093,0.00029904518,0.0007306844,0.0010634266,0.00070143334,0.0002044605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004214023,0.0004928913,0.0007284496,0.0002833897,0.0002794944,0.00007116054,0.00039479937,0.00018089256,0.00014252022],"category_scores_gemma":[0.00057135784,0.00042905286,0.00017116376,0.0010360975,0.0006896028,0.0008071238,0.00012532498,0.00094141223,0.00002714666],"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":[0.000111492634,0.0001938682,0.00033171635,0.000051072788,0.000015589134,0.0000017692224,0.0023090797,0.0009348593,0.5417997,0.0026732134,0.00005311839,0.4515245],"study_design_scores_gemma":[0.0017756496,0.00013765316,0.0010425627,0.0012504479,0.00084878487,0.000110468456,0.0012477062,0.71279067,0.27273157,0.0045642355,0.0030249304,0.0004753061],"about_ca_topic_score_codex":0.00024040711,"about_ca_topic_score_gemma":0.00000560495,"teacher_disagreement_score":0.7118558,"about_ca_system_score_codex":0.000125677,"about_ca_system_score_gemma":0.00046320388,"threshold_uncertainty_score":0.9998161},"labels":[],"label_agreement":null},{"id":"W2054653049","doi":"10.1016/j.zemedi.2008.07.005","title":"Quantification of modulated blood oxygenation levels in single cerebral veins by investigating their MR signal decay","year":2008,"lang":"en","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft; Michael Smith Health Research BC","keywords":"Oxygenation; Carbogen; Cerebral veins; Blood oxygenation; Magnetic resonance imaging; Venous blood; Cerebral blood flow; Medicine; Vein; Nuclear magnetic resonance; Anesthesia; Cardiology; Biomedical engineering; Internal medicine; Radiology; Functional magnetic resonance imaging; Physics","score_opus":0.060890161438916166,"score_gpt":0.3155771336497035,"score_spread":0.25468697221078734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054653049","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":[0.9706138,0.00025411503,0.025001608,0.0009264701,0.0000340605,0.0007051527,0.000061306775,0.00020167655,0.0022018345],"genre_scores_gemma":[0.98321426,0.00005564087,0.015832646,0.0001859032,0.00010983144,0.00010776095,0.0003316194,0.000052646792,0.000109670495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981442,0.00006256871,0.0006547852,0.00044055487,0.00037295962,0.00032491863],"domain_scores_gemma":[0.9987099,0.000114444425,0.0003466157,0.0004472288,0.0002188041,0.00016296499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022277204,0.00025026224,0.0004351552,0.0001660719,0.0001269353,0.000008587004,0.00018246575,0.00017757232,0.00004342699],"category_scores_gemma":[0.00010075346,0.00022710073,0.00010581706,0.0007158216,0.00022609395,0.00023577122,0.00005140076,0.0003431556,0.00001238976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018633924,0.0010073858,0.0016416264,0.000044647335,0.00002421928,0.0000028939692,0.0008766207,0.00022671506,0.9902785,0.0037705023,0.00034902545,0.001759251],"study_design_scores_gemma":[0.0012339099,0.00031103147,0.013130633,0.00016884365,0.00004593021,0.000029160501,0.00018560348,0.0029753647,0.97939545,0.00031114655,0.00198928,0.00022362136],"about_ca_topic_score_codex":0.00007151313,"about_ca_topic_score_gemma":0.000009379454,"teacher_disagreement_score":0.012600504,"about_ca_system_score_codex":0.000013011793,"about_ca_system_score_gemma":0.00013354448,"threshold_uncertainty_score":0.9260899},"labels":[],"label_agreement":null},{"id":"W2216191610","doi":"10.1016/j.zemedi.2015.09.001","title":"Improved dose calculation accuracy for low energy brachytherapy by optimizing dual energy CT imaging protocols for noise reduction using sinogram affirmed iterative reconstruction","year":2015,"lang":"en","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval; Hôtel-Dieu de Québec","funders":"Iris O'Brien Foundation","keywords":"Imaging phantom; Iterative reconstruction; Nuclear medicine; Digital Enhanced Cordless Telecommunications; Scanner; Context (archaeology); Hounsfield scale; Voxel; Effective atomic number; Medicine; Computed tomography; Physics; Computer science; Radiology; Optics; Attenuation","score_opus":0.02257935844075411,"score_gpt":0.3118152499007586,"score_spread":0.2892358914600045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216191610","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":[0.032870676,0.00080038555,0.9565575,0.00018983083,0.0016457917,0.006806815,0.000102669095,0.00070693955,0.0003193962],"genre_scores_gemma":[0.91268736,0.00003955321,0.0738606,0.00012787236,0.001802392,0.010679564,0.0004996467,0.0002384386,0.00006458529],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974799,0.0000916742,0.00071383774,0.0006489278,0.00029015038,0.00077547523],"domain_scores_gemma":[0.9983576,0.00021411583,0.00035656572,0.00038293176,0.000403673,0.00028514003],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003251016,0.0005699759,0.00054634485,0.00020456957,0.00035582393,0.00022684284,0.00018410837,0.00012350651,0.0000065947106],"category_scores_gemma":[0.00017503432,0.0005992117,0.00023980401,0.00038053075,0.0001159496,0.0022948636,0.000038859554,0.00024933513,0.0000012398253],"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":[0.0004630134,0.00012976106,0.000013906741,0.00015202272,0.0001417571,0.0000019754243,0.0008976739,0.074614696,0.775377,0.0006678743,0.0008706118,0.14666972],"study_design_scores_gemma":[0.00324306,0.00014006408,0.0000029821597,0.00019130998,0.00005837016,0.00007884618,0.00057786977,0.5873766,0.3822242,0.0001924901,0.02531557,0.00059863465],"about_ca_topic_score_codex":0.00006206454,"about_ca_topic_score_gemma":0.0000072845037,"teacher_disagreement_score":0.8826969,"about_ca_system_score_codex":0.00008335242,"about_ca_system_score_gemma":0.00013913069,"threshold_uncertainty_score":0.99964595},"labels":[],"label_agreement":null},{"id":"W2773293197","doi":"10.1016/j.zemedi.2017.11.001","title":"Noise reduction in FLAIR2 images using total generalized variation, Gaussian and Wiener filtering","year":2017,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Wiener filter; Noise reduction; Variation (astronomy); Gaussian noise; Reduction (mathematics); Mathematics; Noise (video); Gaussian; Computer science; Statistics; Artificial intelligence; Algorithm; Physics; Image (mathematics); Geometry","score_opus":0.034625378239177086,"score_gpt":0.32889636673997263,"score_spread":0.2942709885007955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773293197","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":[0.59435946,0.007325285,0.3751976,0.004534483,0.013098906,0.0010356174,0.000036637703,0.00025110575,0.0041608866],"genre_scores_gemma":[0.8560483,0.00034021496,0.13975887,0.00015985515,0.0030881315,0.000021009882,0.000018157833,0.000073708994,0.0004917579],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99548006,0.0007168632,0.0008243457,0.0013206324,0.00070722954,0.00095089804],"domain_scores_gemma":[0.99685055,0.00010982104,0.000732003,0.0017414424,0.0002165569,0.00034964204],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018205435,0.0006219269,0.00079774205,0.00035815334,0.0013420708,0.0021737406,0.0011721766,0.00030591775,0.000043935343],"category_scores_gemma":[0.0004524485,0.0006229323,0.0001869804,0.00036820737,0.00043069353,0.0034530454,0.0010386746,0.00068473554,0.00006814837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017778881,0.00022685326,0.00029657123,0.0001807257,0.00016147809,0.00020597986,0.007947167,0.00084796845,0.9525664,0.007904243,0.00037402788,0.02911081],"study_design_scores_gemma":[0.014713078,0.0005869346,0.10280338,0.003683206,0.0007616149,0.0005785014,0.0003497403,0.38688862,0.47077185,0.0039279787,0.010788302,0.004146804],"about_ca_topic_score_codex":0.0013356826,"about_ca_topic_score_gemma":0.000008469057,"teacher_disagreement_score":0.48179454,"about_ca_system_score_codex":0.000026702728,"about_ca_system_score_gemma":0.00028874792,"threshold_uncertainty_score":0.99995804},"labels":[],"label_agreement":null},{"id":"W3027237703","doi":"10.1016/j.zemedi.2020.04.001","title":"DECAES – DEcomposition and Component Analysis of Exponential Signals","year":2020,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Voxel; Decomposition; Exponential function; Computer science; Exponential growth; SIGNAL (programming language); Artificial intelligence; Scanner; Component (thermodynamics); Algorithm; Pattern recognition (psychology); Mathematics; Physics; Chemistry; Mathematical analysis","score_opus":0.02847079986639434,"score_gpt":0.35645370109023133,"score_spread":0.327982901223837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027237703","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":[0.6082653,0.044604454,0.31394663,0.024176607,0.0005346022,0.0032329909,0.0010674084,0.0006356691,0.0035363524],"genre_scores_gemma":[0.98013335,0.004578548,0.012057908,0.0013322976,0.00092632126,0.00008995397,0.0008031566,0.00006297773,0.00001550891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969579,0.00013437543,0.0009897408,0.00080184883,0.0006472112,0.00046891323],"domain_scores_gemma":[0.99764144,0.000294477,0.00059165485,0.00055588107,0.00024499733,0.0006715273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024485914,0.00046268836,0.0014076583,0.00031341333,0.00017646428,0.000037842132,0.0002840868,0.00023645666,0.00032728765],"category_scores_gemma":[0.00008931543,0.00044583,0.00049605453,0.0014896538,0.00036298807,0.00018513658,0.00025443177,0.00045870198,0.000085964006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007699323,0.001199126,0.001815007,0.00056223327,0.005263951,0.000035618767,0.0037797082,0.0013508799,0.9499937,0.020842709,0.0030579704,0.011329127],"study_design_scores_gemma":[0.003989282,0.0019100597,0.015129985,0.00062098016,0.0395286,0.0000054865573,0.0013922817,0.06457613,0.74033606,0.00026104847,0.13095659,0.0012934762],"about_ca_topic_score_codex":0.000057507525,"about_ca_topic_score_gemma":0.0000033567408,"teacher_disagreement_score":0.37186804,"about_ca_system_score_codex":0.000007658179,"about_ca_system_score_gemma":0.000090505666,"threshold_uncertainty_score":0.9997994},"labels":[],"label_agreement":null},{"id":"W4291197677","doi":"10.1016/j.zemedi.2022.07.003","title":"DNA damage by radiation as a function of electron energy and interaction at the atomic level with Monte Carlo simulation","year":2022,"lang":"en","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Radiation Therapy and Dosimetry","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":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Université de Sherbrooke","keywords":"Electron; Atomic physics; Monte Carlo method; Ionization; RADIUS; Atomic number; DNA; van der Waals force; Physics; Ion; Chemistry; Molecular physics; Molecule; Nuclear physics","score_opus":0.011295271717234675,"score_gpt":0.27863671758136804,"score_spread":0.2673414458641334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291197677","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":[0.99534833,0.001408539,0.00061586726,0.0008930301,0.0001799873,0.0003376878,0.00002947728,0.00005133393,0.0011357252],"genre_scores_gemma":[0.99713457,0.00011395655,0.000019079524,0.0010295291,0.00017417276,0.00008369204,0.00016300773,0.000038137005,0.0012438783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984783,0.00020185446,0.00029318462,0.00030611054,0.0005193786,0.00020117172],"domain_scores_gemma":[0.99900186,0.00022397192,0.00031548258,0.00029437966,0.00007550763,0.00008877541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028794666,0.0001867169,0.00026107827,0.00013254682,0.00032042144,0.00001800156,0.000077144505,0.00006483375,0.00020925561],"category_scores_gemma":[0.00004204574,0.00013999229,0.00007350097,0.00036847385,0.000071946844,0.0002565255,0.000049911647,0.00025714893,0.000005983217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013492978,0.00069924985,0.0047489884,0.00011702287,0.00082826224,0.000007756195,0.00436308,0.035441894,0.8818057,0.0047617718,0.011807522,0.04192576],"study_design_scores_gemma":[0.010734319,0.006221432,0.04914322,0.00008538382,0.0008621279,0.00009794226,0.0023701242,0.07035146,0.46893048,0.00013014524,0.39039147,0.0006818862],"about_ca_topic_score_codex":0.00021683685,"about_ca_topic_score_gemma":0.000026862897,"teacher_disagreement_score":0.41287524,"about_ca_system_score_codex":0.000046985253,"about_ca_system_score_gemma":0.00009963389,"threshold_uncertainty_score":0.57087195},"labels":[],"label_agreement":null},{"id":"W4311289505","doi":"10.1016/j.zemedi.2022.11.002","title":"Benchmark of the PenRed Monte Carlo framework for HDR brachytherapy","year":2022,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","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":"Centre hospitalier universitaire de Québec; Université Laval","funders":"Agencia Estatal de Investigación; Generalitat Valenciana; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Universitat de València","keywords":"Kerma; Brachytherapy; Monte Carlo method; Voxel; Computer science; Nuclear medicine; Medical physics; Benchmark (surveying); DICOM; Absorbed dose; Dosimetry; Algorithm; Statistics; Mathematics; Physics; Artificial intelligence; Radiation therapy; Medicine; Radiology","score_opus":0.013468121655858268,"score_gpt":0.3075594882379361,"score_spread":0.29409136658207785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311289505","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":[0.18310677,0.09311166,0.6218551,0.02232246,0.028866347,0.02537671,0.013271305,0.0011826584,0.010907037],"genre_scores_gemma":[0.95271975,0.00040158178,0.03906066,0.0011177916,0.0035883582,0.0018088596,0.00016560977,0.00029775573,0.0008396613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99540085,0.0005327753,0.0010209619,0.0009737455,0.0010534566,0.0010182324],"domain_scores_gemma":[0.99551666,0.00089052797,0.0012557011,0.0018959735,0.00022970949,0.00021145772],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067872426,0.000782715,0.0011376372,0.0001318224,0.0011667577,0.00007237157,0.0019119175,0.00020928957,0.0012136896],"category_scores_gemma":[0.00007348396,0.0006681502,0.0012198715,0.00087182416,0.00041825086,0.00027256308,0.00059901347,0.001699088,0.000011979636],"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":[0.0019369639,0.0035825656,0.0073536015,0.0005484217,0.005311077,0.000008007363,0.019364616,0.0071231388,0.072453395,0.7825628,0.050341185,0.04941422],"study_design_scores_gemma":[0.002324548,0.0010763552,0.0006096045,0.00023936132,0.0004351587,0.0000024144294,0.0015997818,0.0014998753,0.043707587,0.01745283,0.9299682,0.0010843314],"about_ca_topic_score_codex":0.00012832307,"about_ca_topic_score_gemma":0.0000023270181,"teacher_disagreement_score":0.879627,"about_ca_system_score_codex":0.00003756331,"about_ca_system_score_gemma":0.00047460332,"threshold_uncertainty_score":0.99969935},"labels":[],"label_agreement":null},{"id":"W4312220264","doi":"10.1016/j.zemedi.2022.11.012","title":"Note on uncertainty in Monte Carlo dose calculations and its relation to microdosimetry","year":2022,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Monte Carlo method; Statistical physics; Event (particle physics); Absorbed dose; Mathematics; Physics; Dosimetry; Statistics; Nuclear medicine; Quantum mechanics","score_opus":0.018545555621799117,"score_gpt":0.31303865827322847,"score_spread":0.29449310265142936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312220264","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":[0.9590122,0.02180915,0.00003928178,0.010743107,0.0026861308,0.0021585778,0.00035530748,0.00013821754,0.0030579937],"genre_scores_gemma":[0.9903829,0.00062416313,0.00013883127,0.0058885594,0.0013197211,0.00021704799,0.000215219,0.00011507888,0.0010984606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953068,0.00071642536,0.0009596128,0.0010766181,0.0011468983,0.00079363206],"domain_scores_gemma":[0.99742,0.0007333148,0.0003368455,0.00074639067,0.00013364705,0.0006298092],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012162008,0.000581544,0.0008275991,0.0009884973,0.0006595392,0.00006680632,0.0003222477,0.00028976874,0.0005965836],"category_scores_gemma":[0.0006529979,0.0006150423,0.00022111968,0.0021074093,0.000081349724,0.00026712287,0.00026628855,0.0016852145,0.0005812308],"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":[0.015584192,0.0076905875,0.03757722,0.0011319513,0.0027371193,0.0007268045,0.09071787,0.50914544,0.19148628,0.049338,0.035595562,0.058268957],"study_design_scores_gemma":[0.015970878,0.0038671233,0.2668187,0.00071402796,0.0010728629,0.000025016696,0.0027301274,0.08948154,0.01104378,0.000096074786,0.60613376,0.0020461432],"about_ca_topic_score_codex":0.0003706984,"about_ca_topic_score_gemma":0.000034307683,"teacher_disagreement_score":0.57053816,"about_ca_system_score_codex":0.0001353567,"about_ca_system_score_gemma":0.0003780979,"threshold_uncertainty_score":0.9996301},"labels":[],"label_agreement":null},{"id":"W4324332281","doi":"10.1016/j.zemedi.2023.01.008","title":"Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance","year":2023,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Artificial intelligence; Observer (physics); Computer science; Algorithm; Deep learning; Bone scintigraphy; Machine learning; Nuclear medicine; Medicine; Physics","score_opus":0.05048331138009237,"score_gpt":0.3575603245508334,"score_spread":0.30707701317074104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324332281","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":[0.5637219,0.010562279,0.37965655,0.038886454,0.00057225314,0.005237787,0.0002624326,0.0008099196,0.00029041877],"genre_scores_gemma":[0.9868844,0.00083773205,0.00977926,0.00032481656,0.00080886023,0.0005335705,0.0006649156,0.0000740662,0.00009237761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99632263,0.00019343523,0.0010501641,0.0007422755,0.0009573019,0.0007342025],"domain_scores_gemma":[0.9963038,0.0014042769,0.00062900985,0.00097143784,0.00040783107,0.00028362064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002139367,0.0004819988,0.0010926954,0.00044427015,0.0011375004,0.00012985816,0.00062106707,0.00018935108,0.00006891574],"category_scores_gemma":[0.00021934815,0.00027984605,0.00041642535,0.003387828,0.0016877205,0.0001231935,0.00018457229,0.0011666137,0.000036848633],"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":[0.0018768666,0.004106324,0.07197631,0.0032677592,0.026770813,0.000053038002,0.017953834,0.054152943,0.044529527,0.05537934,0.015909646,0.7040236],"study_design_scores_gemma":[0.00042893214,0.0009757395,0.018991278,0.00041776052,0.009324172,0.0000013333056,0.002123885,0.91005105,0.01842054,0.000034822166,0.038865335,0.00036513296],"about_ca_topic_score_codex":0.000194914,"about_ca_topic_score_gemma":0.00003589548,"teacher_disagreement_score":0.85589814,"about_ca_system_score_codex":0.000008188938,"about_ca_system_score_gemma":0.0001550226,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W4382722282","doi":"10.1016/j.zemedi.2023.05.008","title":"Physical wedge as a tool for radiochromic film calibration","year":2023,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Calibration; Wedge (geometry); Dosimetry; Calibration curve; Materials science; Optics; Dosimeter; Radiation; Nuclear medicine; Physics; Mathematics; Medicine; Statistics","score_opus":0.014006792197165012,"score_gpt":0.32262252161487287,"score_spread":0.3086157294177079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382722282","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":[0.4390339,0.0054578534,0.49994105,0.0094537465,0.010663164,0.01570623,0.0045154444,0.0062521445,0.00897648],"genre_scores_gemma":[0.9533826,0.0006706743,0.008865531,0.00085189915,0.022725727,0.002616225,0.004633676,0.00066523225,0.0055884337],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955499,0.00021436,0.0008076316,0.0013121661,0.00069179205,0.0014241163],"domain_scores_gemma":[0.99703,0.0007714492,0.00050334824,0.0011425863,0.00018896892,0.00036365015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043971057,0.00097131496,0.0011817996,0.00027879438,0.0005560681,0.0002569609,0.0008186259,0.00031337538,0.0003191535],"category_scores_gemma":[0.000099800534,0.000978257,0.0009135745,0.0010471139,0.00032439243,0.00085702527,0.00022164008,0.0007805376,0.0018859453],"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":[0.000746605,0.0015464405,0.00035704134,0.00062844035,0.0023904075,0.000030896317,0.008099302,0.0016776244,0.4149706,0.3058249,0.23016651,0.03356123],"study_design_scores_gemma":[0.0039955284,0.0009871386,0.00016216002,0.00032366932,0.0005549763,0.0000030547199,0.00046419518,0.066225775,0.29089606,0.008718481,0.62579465,0.001874332],"about_ca_topic_score_codex":0.000048574857,"about_ca_topic_score_gemma":8.610546e-7,"teacher_disagreement_score":0.51434875,"about_ca_system_score_codex":0.000031059804,"about_ca_system_score_gemma":0.0005065234,"threshold_uncertainty_score":0.9992668},"labels":[],"label_agreement":null},{"id":"W4385304544","doi":"10.1016/j.zemedi.2023.06.005","title":"Space agency-specific standards for crew dose and risk assessment of ionising radiation exposures for the International Space Station","year":2023,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada; Canadian Space Agency","funders":"GSI Helmholtzzentrum für Schwerionenforschung; Russian Academy of Sciences; Johnson Space Center; National Aeronautics and Space Administration","keywords":"Crew; International Space Station; Space radiation; Ionizing radiation; Space (punctuation); Agency (philosophy); Spaceflight; Radiation protection; International agency; Risk assessment; Aeronautics; Radiation exposure; Environmental science; Medical physics; Business; Engineering; Computer science; Aerospace engineering; Medicine; Physics; Nuclear medicine; Computer security; Irradiation; Nuclear physics; Cosmic ray","score_opus":0.028234480814509175,"score_gpt":0.3689756338628753,"score_spread":0.3407411530483661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385304544","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":[0.48782897,0.103942685,0.27342144,0.079395115,0.023543386,0.014862331,0.009814816,0.00061309146,0.006578177],"genre_scores_gemma":[0.9392071,0.0509584,0.003910926,0.00020460258,0.0038098216,0.00033886495,0.001058281,0.000106177555,0.000405877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648505,0.00018097203,0.0008242373,0.000627129,0.0013505621,0.0005320669],"domain_scores_gemma":[0.9952474,0.0023839397,0.0008934809,0.00051279174,0.000769879,0.00019249316],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031665876,0.0003836677,0.00056875276,0.00035883146,0.00059372804,0.00027187922,0.00030828422,0.00015486758,0.00008865968],"category_scores_gemma":[0.001566768,0.00031390126,0.00027708928,0.0005390065,0.00020788479,0.00054361066,0.000100796766,0.00037296972,0.000018022365],"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":[0.002194819,0.0006186773,0.028657893,0.0017577163,0.0058398074,0.000012389502,0.02745969,0.005040474,0.0794733,0.084224954,0.24481115,0.51990914],"study_design_scores_gemma":[0.0072426163,0.00070656056,0.15573815,0.00045983968,0.0013407669,0.0000019051714,0.0036709944,0.11516702,0.022522544,0.0005241015,0.69219714,0.0004283525],"about_ca_topic_score_codex":0.00008026263,"about_ca_topic_score_gemma":0.000009406316,"teacher_disagreement_score":0.51948076,"about_ca_system_score_codex":0.000062005885,"about_ca_system_score_gemma":0.0007954387,"threshold_uncertainty_score":0.99993134},"labels":[],"label_agreement":null},{"id":"W4385813721","doi":"10.1016/j.zemedi.2023.04.007","title":"Radiation combined with ultrasound and microbubbles: A potential novel strategy for cancer treatment","year":2023,"lang":"de","type":"review","venue":"Zeitschrift für Medizinische Physik","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"","keywords":"Microbubbles; Radiation therapy; Cancer; Medicine; Cancer research; Cancer cell; Cancer treatment; Immunogenic cell death; Ultrasound; Internal medicine; Radiology","score_opus":0.04110309590222534,"score_gpt":0.31706901016140154,"score_spread":0.2759659142591762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385813721","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00413406,0.9743028,0.004917514,0.00032371335,0.0012444461,0.008410684,0.00516152,0.0008303151,0.00067494414],"genre_scores_gemma":[0.018354155,0.96643066,0.0012666046,0.000055638924,0.002423672,0.0056423834,0.004304529,0.0005562091,0.00096615835],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99642944,0.00006915228,0.0009591654,0.0011623738,0.00039305232,0.0009868408],"domain_scores_gemma":[0.99736905,0.0008543466,0.00045397025,0.00072778,0.00017620447,0.00041862682],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002116223,0.0013424922,0.0021415157,0.00025814117,0.00045992536,0.0003252128,0.0004090832,0.00060560025,0.000096418466],"category_scores_gemma":[0.000039473736,0.001067489,0.00051464076,0.0006818506,0.00021154276,0.00022903741,0.000041849038,0.00051355927,0.00025930718],"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":[0.00087184354,0.0037926422,0.000117160875,0.06827041,0.035020117,0.00004632774,0.006842348,0.024621867,0.08968861,0.026663125,0.0068246056,0.73724097],"study_design_scores_gemma":[0.004526318,0.000979148,0.00013748997,0.0032512948,0.006519261,0.00005266814,0.00033254974,0.001255683,0.0007530948,0.00003914433,0.9805792,0.0015741559],"about_ca_topic_score_codex":0.00038272468,"about_ca_topic_score_gemma":0.00026687284,"teacher_disagreement_score":0.9737546,"about_ca_system_score_codex":0.00007913906,"about_ca_system_score_gemma":0.0007092649,"threshold_uncertainty_score":0.9999326},"labels":[],"label_agreement":null},{"id":"W4389101530","doi":"10.1016/j.zemedi.2023.10.005","title":"Comparison of dose and risk estimates between ISS Partner Agencies for a 30-day lunar mission","year":2023,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Radiation Therapy and Dosimetry","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":false,"ca_institutions":"Canadian Nuclear Laboratories; Health Canada; Canadian Space Agency","funders":"Russian Academy of Sciences; Johnson Space Center; Canadian Nuclear Laboratories; Leidos; National Aeronautics and Space Administration","keywords":"Aeronautics; Environmental science; Astrobiology; Physics; Engineering","score_opus":0.06589117135459432,"score_gpt":0.40690550849882307,"score_spread":0.34101433714422874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389101530","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":[0.93892056,0.052430555,0.00072378886,0.001941169,0.0016303564,0.0020636295,0.0007056309,0.0003743232,0.0012099654],"genre_scores_gemma":[0.9892335,0.0060377736,0.0007274327,0.00014925614,0.0023805506,0.00006944692,0.00064815977,0.00012746282,0.0006264512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959854,0.00032682292,0.0012254914,0.0007868257,0.0008171083,0.00085838145],"domain_scores_gemma":[0.9944795,0.0030894522,0.00085051,0.0007108529,0.0002456614,0.0006240395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017652751,0.0006172578,0.0016414758,0.00040084077,0.00045357217,0.00006912208,0.00032831685,0.0004806931,0.00028351613],"category_scores_gemma":[0.0015982889,0.00052008725,0.00036163846,0.0009117009,0.00044288987,0.00023956972,0.00015226439,0.00062046974,0.00052579265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085938105,0.001004975,0.7163199,0.00383693,0.0055735763,0.000024684472,0.0402662,0.00038986083,0.04989779,0.002600224,0.10111138,0.078115076],"study_design_scores_gemma":[0.008826131,0.002715716,0.3785487,0.0013914951,0.005844281,0.0000012012507,0.005074022,0.03652238,0.23320664,0.00060331513,0.32612196,0.0011441259],"about_ca_topic_score_codex":0.000054783843,"about_ca_topic_score_gemma":0.0000011974753,"teacher_disagreement_score":0.3377712,"about_ca_system_score_codex":0.0000111039935,"about_ca_system_score_gemma":0.000267867,"threshold_uncertainty_score":0.99972504},"labels":[],"label_agreement":null},{"id":"W4391146345","doi":"10.1016/j.zemedi.2024.01.004","title":"System of radiological protection: Towards a consistent framework on Earth and in space","year":2024,"lang":"de","type":"editorial","venue":"Zeitschrift für Medizinische Physik","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Space Agency; Atomic Energy (Canada); Health Canada","funders":"Russian Academy of Sciences; National Aeronautics and Space Administration","keywords":"Radiological weapon; Radiation protection; Health protection; Radiation exposure; Risk analysis (engineering); Medicine; Environmental health; Business; Surgery; Nuclear medicine","score_opus":0.02045928729268631,"score_gpt":0.3025955935161399,"score_spread":0.2821363062234536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391146345","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0429885,0.07080579,0.0003953357,0.009415334,0.8321696,0.006816201,0.0005318715,0.00064931286,0.036228053],"genre_scores_gemma":[0.70901144,0.002518423,0.00035892252,0.00017016941,0.28680018,0.00026966678,0.00013413254,0.00013498437,0.00060210156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99367577,0.00063076173,0.0015138552,0.0015200143,0.0017977232,0.0008618594],"domain_scores_gemma":[0.99624217,0.0014474712,0.00067415705,0.000931138,0.0002728571,0.0004322119],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0014824116,0.0009981411,0.0024479365,0.0007253131,0.0001370894,0.00014829372,0.00036359153,0.001777459,0.00013192988],"category_scores_gemma":[0.0039123963,0.0008077124,0.00047271515,0.0010012292,0.00053870346,0.00015966067,0.00023983222,0.0047415257,0.0006686851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013653071,0.0036176166,0.0010417498,0.060970407,0.009742783,0.0043373005,0.02407769,0.0003924997,0.01495123,0.21120146,0.61460465,0.04140956],"study_design_scores_gemma":[0.003235898,0.0025268325,0.001025901,0.030143058,0.0014331659,0.00006543314,0.0022825608,0.0017625897,0.0061148345,0.00010657678,0.95027345,0.0010296708],"about_ca_topic_score_codex":0.00014769305,"about_ca_topic_score_gemma":0.0000041801227,"teacher_disagreement_score":0.6660229,"about_ca_system_score_codex":0.00006731003,"about_ca_system_score_gemma":0.0012089544,"threshold_uncertainty_score":0.99951845},"labels":[],"label_agreement":null},{"id":"W4391428764","doi":"10.1016/j.zemedi.2024.01.002","title":"Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks","year":2024,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","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":"University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nvidia; National Science Foundation","keywords":"Correction for attenuation; Artificial intelligence; Attenuation; Computer science; Context (archaeology); Convolutional neural network; Deep learning; Positron emission tomography; Inference; Convolution (computer science); Pattern recognition (psychology); Spurious relationship; Computer vision; Artificial neural network; Machine learning; Physics; Nuclear medicine; Optics; Geology","score_opus":0.013355478626091242,"score_gpt":0.30103868117350774,"score_spread":0.28768320254741647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391428764","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":[0.044770814,0.08206688,0.78385955,0.056675684,0.013161772,0.0054246834,0.00028336985,0.0022198104,0.0115374345],"genre_scores_gemma":[0.9884141,0.0041930964,0.00082630344,0.0014321696,0.0030170474,0.00031663684,0.0006108501,0.00013630526,0.0010535081],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99624246,0.00023273836,0.0010714419,0.0010494684,0.0007433121,0.0006605528],"domain_scores_gemma":[0.99742097,0.0005416197,0.00037456423,0.0007803481,0.00040105608,0.00048142616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008741159,0.00061550055,0.0010778718,0.00027760863,0.00021212095,0.00015055532,0.00024564308,0.00029294298,0.0003409175],"category_scores_gemma":[0.000277659,0.0005319523,0.00032220283,0.00070138,0.0006858635,0.00035320112,0.00021290564,0.0012400881,0.00034348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019924462,0.00081893284,0.00027837683,0.0023466167,0.0013940331,0.00013311881,0.0019765105,0.000065104956,0.5774357,0.0016242656,0.15638104,0.2573471],"study_design_scores_gemma":[0.0020044642,0.0008323114,0.0024886879,0.0073211566,0.003216732,0.00008936949,0.0007494625,0.36671478,0.41668794,0.00012942312,0.19866946,0.0010962189],"about_ca_topic_score_codex":0.00016079744,"about_ca_topic_score_gemma":0.000008102988,"teacher_disagreement_score":0.9436433,"about_ca_system_score_codex":0.000025155856,"about_ca_system_score_gemma":0.00017390716,"threshold_uncertainty_score":0.9997132},"labels":[],"label_agreement":null},{"id":"W4403286163","doi":"10.1016/j.zemedi.2024.09.003","title":"Monte Carlo calculations of target fragments from helium and carbon ion interactions with water","year":2024,"lang":"de","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Linear energy transfer; Ion; Monte Carlo method; Range (aeronautics); Helium; Deuterium; Heavy ion; Atomic physics; Alpha particle; Cosmic ray; Carbon fibers; Physics; Particle (ecology); Nuclear physics; Radiation; Materials science","score_opus":0.010179306840068446,"score_gpt":0.2820014657506533,"score_spread":0.27182215891058487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403286163","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":[0.93520355,0.050814983,0.00026875277,0.004648047,0.0042299097,0.0007802518,0.00037936665,0.0001743362,0.0035008306],"genre_scores_gemma":[0.9932422,0.0017850437,0.000422032,0.00033508457,0.0026373093,0.000058226517,0.0003534338,0.00011017542,0.0010565151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99718714,0.00018374203,0.00070630497,0.000729012,0.00069140334,0.00050239253],"domain_scores_gemma":[0.99840313,0.00031457553,0.0001585668,0.00057932455,0.00017578313,0.00036861672],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026223485,0.0004896355,0.0007266106,0.0003717983,0.00015825413,0.000104309955,0.00015252942,0.0002455389,0.00056640856],"category_scores_gemma":[0.00003973748,0.00034368096,0.00019134472,0.0004435791,0.0002384516,0.00039910516,0.000085221596,0.00078576774,0.00019385359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042749736,0.0032244446,0.053722687,0.0037052762,0.025059007,0.0006022031,0.09941316,0.003977832,0.77404755,0.0048173703,0.014854382,0.012301128],"study_design_scores_gemma":[0.0056896955,0.0014633148,0.015655259,0.003939705,0.004773653,0.000021748696,0.0026477852,0.062282268,0.46845573,0.00016173956,0.43368152,0.001227608],"about_ca_topic_score_codex":0.0014028852,"about_ca_topic_score_gemma":0.00003981667,"teacher_disagreement_score":0.41882712,"about_ca_system_score_codex":0.000021272657,"about_ca_system_score_gemma":0.00019660644,"threshold_uncertainty_score":0.99990153},"labels":[],"label_agreement":null},{"id":"W7116796621","doi":"10.1016/j.zemedi.2025.12.002","title":"Deutsches Optisches Museum – edutainment for optics &amp; photonics","year":2025,"lang":"en","type":"article","venue":"Zeitschrift für Medizinische Physik","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Red Cross; European Regional Development Fund; Deutsche Forschungsgemeinschaft; Carl-Zeiss-Stiftung","keywords":"Exhibition; Physical optics; Set (abstract data type); Key (lock); Photonics","score_opus":0.016212351472932478,"score_gpt":0.2829042445789994,"score_spread":0.2666918931060669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116796621","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":[0.7000783,0.0008274418,0.24544114,0.0028408412,0.0027275756,0.0017868413,0.00014619269,0.0009186896,0.04523299],"genre_scores_gemma":[0.90152514,0.00014365987,0.09679977,0.0002894963,0.0002058032,0.0003731668,0.00023570644,0.00005820939,0.0003690228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986632,0.000017516566,0.00043697533,0.00029277249,0.00016853136,0.0004210245],"domain_scores_gemma":[0.9992289,0.00014877673,0.000061836974,0.00037239524,0.000075474876,0.000112604954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017189521,0.00028267672,0.0003069877,0.00011183434,0.00015258793,0.00008431905,0.00026874276,0.00013299487,0.00003584264],"category_scores_gemma":[0.000055649325,0.00028463217,0.00015526374,0.0002465852,0.00006520607,0.00030634907,0.000068053654,0.0002117734,0.00006557348],"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":[0.00016955797,0.00062430906,0.0027985757,0.0011147892,0.0015430353,0.0000013929578,0.001695327,0.09923156,0.2464198,0.5416812,0.0421755,0.06254497],"study_design_scores_gemma":[0.001609038,0.00009369316,0.00272996,0.0001297403,0.00018168535,8.321649e-7,0.0005457964,0.06828109,0.16908704,0.00064234785,0.7560978,0.0006010054],"about_ca_topic_score_codex":0.00000868959,"about_ca_topic_score_gemma":0.000009605526,"teacher_disagreement_score":0.71392226,"about_ca_system_score_codex":0.000024680203,"about_ca_system_score_gemma":0.00008593591,"threshold_uncertainty_score":0.9999606},"labels":[],"label_agreement":null}]}